From aburkitt at unimelb.edu.au Sun Mar 1 06:54:47 2020 From: aburkitt at unimelb.edu.au (Anthony Burkitt) Date: Sun, 1 Mar 2020 11:54:47 +0000 Subject: Connectionists: Postdoc position at the University of Melbourne, Australia In-Reply-To: References: Message-ID: Postdoctoral research fellow position in Neuroengineering / Neural modelling at The University of Melbourne, Australia Applications close: 10 Mar 2020 11:55 PM Australian Eastern Daylight Time (UTC+11) http://jobs.unimelb.edu.au/caw/en/job/902247/research-fellow-in-neuroengineering We are seeking an emerging, self-motivated individual with the ability to work collaboratively with the team, as well as lead their own research activities, to contribute to a multidisciplinary project at the forefront between neuroscience, robotics and artificial intelligence. This is the perfect opportunity for anyone looking to develop a career in research and apply their mathematical skills to neuroscience. This role will work in The Bionics, Biomedical Imaging and Neuroengineering group, comprised of leading internationally recognised researchers. You will work on a multidisciplinary project on perception, navigation and spatial awareness, in which the insights and mechanisms from neuroscience and the modelling of neural systems, particularly of vision and other sensory systems, can be analysed and used to inspire applications in autonomous robots and other artificial systems. Regards, Tony Burkitt Professor Anthony N. Burkitt BSc (Hons) PhD Chair of Bio-Signals and Bio-Systems NeuroEngineering Laboratory, Department of Biomedical Engineering Melbourne School of Engineering The University of Melbourne, Victoria 3010 Australia T: +61 3 90353552 ? M: +61 422 960 880 ? E: aburkitt at unimelb.edu.au W: www.eng.unimelb.edu.au http://www.bme.unimelb.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From iccc.conference at gmail.com Sun Mar 1 11:53:33 2020 From: iccc.conference at gmail.com (Int. Conference on Computational Creativity) Date: Sun, 1 Mar 2020 16:53:33 +0000 Subject: Connectionists: =?utf-8?q?CFP=3A_=28Extended_Deadline=29_Call_for?= =?utf-8?q?_Full_Papers_for_the_11th_International_Conference_on_Co?= =?utf-8?q?mputational_Creativity_=28ICCC=E2=80=9920=29?= Message-ID: Dear Colleague, The ICCC'20 organisers would like to inform you that the submission deadline for Full Papers was extended: The new deadline is 8th March 2020, 11:59 PM AoE Time Zone (Anywhere on Earth). The 11th International Conference on Computational Creativity (ICCC?20) will take place in Coimbra, Portugal. If you have any questions about the CfP or the conference, please feel to contact us. We look forward to receiving your submission! Follow us at facebook , twitter or instagram If you wish to receive more information about ICCC?20 subscribe here ------------------------------------------------ *The 11th International Conference on Computational Creativity (ICCC'20)* June 29 ? July 3 2020, Coimbra, Portugal *Call for papers: full regular papers* http://computationalcreativity.net/iccc20/full-papers/ Please distribute (Apologies for cross-posting) If you wish to receive more information about ICCC?20 subscribe here ------------------------------------------------ Computational Creativity (or CC) is a discipline with its roots in Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology and Philosophy that explores the potential for computers to be autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on frameworks that offer greater clarity or computational felicity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on. **** Themes and Topics **** Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to: ? Applications that address creativity in specific domains such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming. ? Applications and frameworks that allow for co-creativity between humans and machines, in which the machine is more than a mere tool and takes on significant creative responsibility for itself. ? Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how systems are perceived in society. ? Syntheses of AI/CC treatments of very different genres or domains of creativity (e.g. art and science, humour and mathematics, language and image, etc.) ? Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation. ? Resource development and data gathering/knowledge curation for creative systems, especially resources and data collections that are scalable, extensible and freely available as open-source materials. ? Ethical considerations in the design, deployment or testing of CC systems, as well as studies that explore the societal impact of CC systems. ? Cognitive and psychological computational models of creativity, and their relation with existing cognitive architectures and psychological accounts ? Innovation, improvisation, virtuosity and related pursuits investigating the production of novel experiences and artefacts within a CC context. ? Computational accounts of factors that enhance creativity, including emotion, surprise(unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, reward structures. ? Computational models of social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and creativity in social settings. ? Perspectives on computational creativity which draw from philosophical and/or sociological studies in a context of creative intelligent systems. ? Computational creativity in the cloud, including how web services can be used to foster unexpected creative behaviour in computational systems. ? Big data approaches to computational creativity. ? Debate papers that raise new issues or reopen seemingly settled ones. Provocations that question the foundations of the discipline or throw new light on old work are also welcome. Papers on computational paradigms of all kinds ? from symbolic to statistical to deep learning models, as well as hybrid approaches ? are welcome, provided they address pertinent aspects of CC as sketched above. **** Paper Types **** We welcome the submission of five different types of papers: Technical papers, System or Resource description papers, Study papers, Cultural application papers and Position papers. **** Important Dates **** Submissions due: March 8, 2020 Acceptance notification: April 20, 2020 Camera-ready copies due: May 22, 2020 Conference: June 29 ? July 3, 2020 **** More Information **** More information on the paper types and submission process can be found at http://computationalcreativity.net/iccc20/full-papers/ **** Organising Committee **** ? General Chair Amilcar Cardoso, University of Coimbra, Portugal ? Program Chairs: Penousal Machado, University of Coimbra, Portugal and Tony Veale, University College Dublin, Ireland ? Local Chair: Pedro Martins, University of Coimbra, Portugal ? Media Chair: Jo?o Miguel Cunha, University of Coimbra, Portugal ? Workshop Chairs: Oliver Kutz, University of Bozen/Bolzano, Italy and Sofia Pinto, Technical University of Lisbon, IST ? Tutorial Chair: Christian Guckelsberger, Queen Mary University, London ? Code-Camp Chairs: Hugo Oliveira, University of Coimbra, Portugal and Philipp Wicke, University College Dublin, Ireland. ------------------------------------------------ *Follow us at:* facebook ? https://www.facebook.com/pg/computationalcreativity/ twitter ? https://twitter.com/iccc_conf instagram ? https://www.instagram.com/iccc_conf/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Sun Mar 1 12:54:34 2020 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Sun, 1 Mar 2020 18:54:34 +0100 Subject: Connectionists: EXTENDED DEADLINE *** CfP: Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC) at WETICE 2020 Message-ID: *** The deadline for the submission of papers has been extended to March 10th *** *18th Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC)* Track?at IEEE WETICE 2020 Bayonne, France, June 10-12, 2020 http://didattica.agentgroup.unimore.it/ACEC2020 Call for Papers *Aims and Scope* Over its 17 years of existence, ACEC has focused on works?that explore?the adaptability, autonomy and intelligence of software agents for the collaboration across the enterprise. In 2020,?organizers would like to continue to explore the research on agent-based computing, but they would also?welcome works that leverage advanced adaptive techniques, non necessarily based on software agents. In addition to the?traditional domain areas, i.e., Computer Supported Collaborative Work, Workflow and Supply Chain Management, Automation in Virtual Enterprises, and Automated Distributed Service Composition, ACEC is?also interested in new adaptive techniques, e.g.,?Cloud Computing, Crowd-Sourcing, and?Social Networking. In addition to traditional papers, the forthcoming 18th episode of ACEC welcomes papers from two focus areas: * Adaptive and Agent-based Services * Adaptive Techniques for Organizational/Enterprise Use of Emerging Web Paradigms (Cloud, Crowd-sourcing, Mobile Apps) Such two themes represent important areas where software agents can leverage their distributed nature,?along with their proactive and autonomous characteristics, to provide solutions to?complex problems, which are difficult to solve?using traditional/existing technologies. *Topics of Interest* Topics of interest include, but are not limited to: * Adaptive and/or agent-mediated workflow, supply chain, and virtual?enterprises * Methodologies, languages and tools to support agent collaboration * Agent architectures and infrastructures for dynamic collaboration * Adaptive and/or Agent-based service architectures and infrastructures * Service Oriented Architectures (SOAs) based on agents * Services for dynamic agent collaboration * Agent-to-Human service interactions * Autonomous, Adaptive and/or Agent-mediated service integration * Organizational and enterprise systems that leverage the Web 2.0 * Adaptive and Agent-mediated cloud environments *Important Dates* * Paper submission: *March 10th, 2020* * Notification: *March 21st, 2020* * Camera ready: *April 4th, 2020 * * Conference: *June?10-12, 2020* *Paper Submission* Papers should contain original contributions (not published or submitted elsewhere) and references to related state-of-the art work. Please submit your papers in PDF or PS format. Papers up to 6 pages (including figures, tables and references) can be submitted. Papers should follow the IEEE format, which is single-spaced, two columns, 10pt Times/Roman font. Papers should include a title, the name and affiliation of each author, an abstract of up to 150 words and no more than eight keywords. All submitted papers will be peer-reviewed by a minimum of three program committee members. The accepted papers will be published in the post-conference proceedings (to be published by the IEEE Computer Society Press). Authors of accepted papers must present their papers at the conference.?At least one author for each accepted paper should register and attend WETICE 2020 to have the paper published in the proceedings. The paper submission procedure is carried out using the EasyChair conference management system: https://easychair.org/conferences/?conf=wetice2020 *Track Chairs* * Stefania Monica, Universit? degli Studi di Parma, Italy * Federico Bergenti, Universit? degli Studi di Parma, Italy * M. Brian Blake, George Washington University, USA * Giacomo Cabri, Universit? degli Studi di Modena e Reggio Emilia, Italy * Usman Wajid, The University of Manchester, UK -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From marcin at amu.edu.pl Sun Mar 1 17:10:50 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 1 Mar 2020 23:10:50 +0100 Subject: Connectionists: =?utf-8?q?CFP=3A_Doctoral_Symposium_on_Recent_Adv?= =?utf-8?q?ances_in_Information_Technology_=28DS=E2=80=93RAIT_2020=29?= In-Reply-To: References: Message-ID: <7ca7a388-33f6-894a-53b2-cfd9f5db874e@amu.edu.pl> CALL FOR PAPERS Doctoral Symposium on Recent Advances in Information Technology (DS?RAIT 2020) Sofia (Bulgaria), September 6-9, 2020 [WWW: http://fedcsis.org/ds-rait, CONTACT: ds-rait2020 at fedcsis.org] About the event: The seventh international Doctoral Symposium on Recent Advances in Information Technology (DS-RAIT 2020) will be held in Sofia (Bulgaria) on September 6-9, 2020 as a satellite track of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020). The aim of this meeting is to provide a platform for exchange of ideas between early-stage researchers, in Computer Science, PhD students in particular. Furthermore, the symposium will provide all participants an opportunity to get feedback on their studies from experienced members of the IT research community invited to chair all DS-RAIT thematic sessions. Therefore, submission of research proposals with limited preliminary results is strongly encouraged. Besides receiving specific advice for their contributions all participants will be invited to attend plenary lectures and tutorials on issues related to conducting high-quality research in IT. It is planned that authors of the two most outstanding submissions will have a possibility to present their papers in a form of short plenary lecture. Scope: DS-RAIT invites the submission of papers on all aspects of IT including, but not limited to: Automatic Control and Robotics Bioinformatics Cloud, GPU and Parallel Computing Cognitive Science Computer Networks Computational Intelligence Cryptography Data Mining and Data Visualization Database Management Systems Expert Systems Image Processing and Computer Animation Information Theory Machine Learning Natural Language Processing Numerical Analysis Operating Systems Pattern Recognition Scientific Computing Software Engineering Submission: - prospective authors are welcomed to submit their short papers (length not exceeding 4 pages) in IEEE style (including tables, figures and references) before May 15, 2020; - each contribution should clearly state a problem in hand, justify its importance, describe related work and finally, provide a solution and some preliminary results (if available); - like previous editions, this year?s DS-RAIT proceedings will be included in the IEEE Xplore? database and submitted for indexation in: DBLP Computer Science Bibliography, Google Scholar, Inspec, Scirus, SciVerse Scopus and Thomson Reuters - Conference Proceedings Citation Index; - selected extended papers, after additional review, will be published in special issues of journals, e.g. Journal of Automation, Mobile Robotics and Intelligent Systems (http://www.jamris.org/). DS-RAIT Committees: Honorary Event Chair: Janusz Kacprzyk??? (Poland) Event Chairs: Piotr Andrzej Kowalski (pakowal at ibspan.waw.pl, Poland), Szymon Lukasik (slukasik at ibspan.waw.pl, Poland) Program Committee: Jaroslaw Arabas (Poland), Krassimir T. Atanassov (Bulgaria), Krisztian Balazs (Hungary), Antoon Bronselaer (Belgium), Modesto Castrill?n Santana (Spain), Malgorzata Charytanowicz (Poland), Thomas Corpetti (France), Jos? Manuel Fonseca (Portugal), Philippe Fournier-Viger (Canada), David Gil (Spain), Enrique Herrera Viedma (Spain), Bao-Gang Hu (China), Laszlo T. Koczy (Hungary), Zbigniew Kokosinski (Poland), Krzysztof Krawiec (Poland), Piotr Kulczycki (Poland), Maciej Kusy (Poland), Ferenc Lilik (Hungary), Rita Lovassy (Hungary), Piotr Malecki (Poland), Radko Mesiar (Slovakia), Andr? Damas Mora (Portugal), Carles Noguera i Clofent (Czech Republic), Jerzy Pamin (Poland), Milan Petrik (Czech Republic), Rita A. Ribeiro (Portugal), Anatoly Sachenko (Ukraine), Volodymyr Samotyy (Ukraine), Bart?omiej Szafran (Poland),Guy De Tr? (Belgium), Roman Tkachenko (Ukraine), Alex Tormasi (Hungary),Wei Wei (China), Marian Wysocki (Poland), Yujiu Yang (China), Slawomir Zadrozny (Poland), Mieczys?aw Zajac (Poland) From iccc.conference at gmail.com Sun Mar 1 19:41:07 2020 From: iccc.conference at gmail.com (Int. Conference on Computational Creativity) Date: Mon, 2 Mar 2020 00:41:07 +0000 Subject: Connectionists: =?utf-8?q?CFP=3A_=28Extended_Deadline=29_Call_for?= =?utf-8?q?_Full_Papers_for_the_11th_International_Conference_on_Co?= =?utf-8?q?mputational_Creativity_=28ICCC=E2=80=9920=29?= Message-ID: Dear Colleague, The ICCC'20 organisers would like to inform you that the submission deadline for Full Papers was extended: The new deadline is 8th March 2020, 11:59 PM AoE Time Zone (Anywhere on Earth). The 11th International Conference on Computational Creativity (ICCC?20) will take place in Coimbra, Portugal. If you have any questions about the CfP or the conference, please feel to contact us. We look forward to receiving your submission! Follow us at facebook , twitter or instagram If you wish to receive more information about ICCC?20 subscribe here ------------------------------------------------ *The 11th International Conference on Computational Creativity (ICCC'20)* June 29 ? July 3 2020, Coimbra, Portugal *Call for papers: full regular papers* http://computationalcreativity.net/iccc20/full-papers/ Please distribute (Apologies for cross-posting) If you wish to receive more information about ICCC?20 subscribe here ------------------------------------------------ Computational Creativity (or CC) is a discipline with its roots in Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology and Philosophy that explores the potential for computers to be autonomous creators in their own right. ICCC is an annual conference that welcomes papers on different aspects of CC, on systems that exhibit varying degrees of creative autonomy, on frameworks that offer greater clarity or computational felicity for thinking about machine (and human) creativity, on methodologies for building or evaluating CC systems, on approaches to teaching CC in schools and universities or to promoting societal uptake of CC as a field and as a technology, and so on. **** Themes and Topics **** Original research contributions are solicited in all areas related to Computational Creativity research and practice, including, but not limited to: ? Applications that address creativity in specific domains such as music, language, narrative, poetry, games, visual arts, graphic design, product design, architecture, entertainment, education, mathematical invention, scientific discovery, and programming. ? Applications and frameworks that allow for co-creativity between humans and machines, in which the machine is more than a mere tool and takes on significant creative responsibility for itself. ? Metrics, frameworks, formalisms and methodologies for the evaluation of creativity in computational systems, and for the evaluation of how systems are perceived in society. ? Syntheses of AI/CC treatments of very different genres or domains of creativity (e.g. art and science, humour and mathematics, language and image, etc.) ? Computational paradigms for understanding creativity, including heuristic search, analogical and meta-level reasoning, and representation. ? Resource development and data gathering/knowledge curation for creative systems, especially resources and data collections that are scalable, extensible and freely available as open-source materials. ? Ethical considerations in the design, deployment or testing of CC systems, as well as studies that explore the societal impact of CC systems. ? Cognitive and psychological computational models of creativity, and their relation with existing cognitive architectures and psychological accounts ? Innovation, improvisation, virtuosity and related pursuits investigating the production of novel experiences and artefacts within a CC context. ? Computational accounts of factors that enhance creativity, including emotion, surprise(unexpectedness), reflection, conflict, diversity, motivation, knowledge, intuition, reward structures. ? Computational models of social aspects of creativity, including the relationship between individual and social creativity, diffusion of ideas, collaboration and creativity, formation of creative teams, and creativity in social settings. ? Perspectives on computational creativity which draw from philosophical and/or sociological studies in a context of creative intelligent systems. ? Computational creativity in the cloud, including how web services can be used to foster unexpected creative behaviour in computational systems. ? Big data approaches to computational creativity. ? Debate papers that raise new issues or reopen seemingly settled ones. Provocations that question the foundations of the discipline or throw new light on old work are also welcome. Papers on computational paradigms of all kinds ? from symbolic to statistical to deep learning models, as well as hybrid approaches ? are welcome, provided they address pertinent aspects of CC as sketched above. **** Paper Types **** We welcome the submission of five different types of papers: Technical papers, System or Resource description papers, Study papers, Cultural application papers and Position papers. **** Important Dates **** Submissions due: March 8, 2020 Acceptance notification: April 20, 2020 Camera-ready copies due: May 22, 2020 Conference: June 29 ? July 3, 2020 **** More Information **** More information on the paper types and submission process can be found at http://computationalcreativity.net/iccc20/full-papers/ **** Organising Committee **** ? General Chair Amilcar Cardoso, University of Coimbra, Portugal ? Program Chairs: Penousal Machado, University of Coimbra, Portugal and Tony Veale, University College Dublin, Ireland ? Local Chair: Pedro Martins, University of Coimbra, Portugal ? Media Chair: Jo?o Miguel Cunha, University of Coimbra, Portugal ? Workshop Chairs: Oliver Kutz, University of Bozen/Bolzano, Italy and Sofia Pinto, Technical University of Lisbon, IST ? Tutorial Chair: Christian Guckelsberger, Queen Mary University, London ? Code-Camp Chairs: Hugo Oliveira, University of Coimbra, Portugal and Philipp Wicke, University College Dublin, Ireland. ------------------------------------------------ *Follow us at:* facebook ? https://www.facebook.com/pg/computationalcreativity/ twitter ? https://twitter.com/iccc_conf instagram ? https://www.instagram.com/iccc_conf/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Mon Mar 2 04:00:12 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Mon, 2 Mar 2020 11:00:12 +0200 Subject: Connectionists: 1st Call-for-papers: ICPR 2020 Workshop on Research & Innovation for Secure Societies (RISS 2020) Message-ID: [Apologies for multiple postings] RISS 2020 3rd International Workshop on Research & Innovation for Secure Societies @ 25th International Conference on Pattern Recognition - ICPR Milan, Italy, 13-18 September, 2020 http://campus.pub.ro/RISS2020/ https://easychair.org/conferences/?conf=riss2020 *** Call for papers *** * Paper submission due: June 15th, 2020 * Acceptance notification: July 15th, 2020 * Camera-ready papers due: July 30th, 2020 * Workshop @ ICPR 2020: September 13th or 18th, 2020 High expansion of urban population and recent world events complemented by the alarming increase of the number of threats to infrastructure safety have mobilized Authorities to redesign societal security concepts. Law Enforcement Authorities are focusing and aiming consistently their actions at preventing crimes and protecting people, properties and critical infrastructures. With the accelerated advances of communications and storage technologies, access to critical information acquired from various sensors and sources, e.g., land cameras, satellite data, drones, personal devices, has been significantly eased. Manipulation and processing of such high amount of diverse data is still a steady challenge, and most of the existing solutions involve the use of human resources. However, threats are now at a very large scale, requiring very different security solutions which are able to make use of interdisciplinary approaches. In this context, computer-assisted or automated technologies are now becoming more and more attractive to substitute expensive human resources in the decision systems. RISS 2020 focuses on discussing solutions provided by Artificial Intelligence (AI) systems to the aforementioned challenges. It aims to bring together researchers from academia and industry, end-users, law-enforcing agencies and citizen groups to share experiences and explore multi- and inter-disciplinary areas where additional research and development are needed, identify possible collaboration and consider the societal impact of such technologies. Authors are invited to submit original, previously unpublished work, reporting on novel and significant research contributions, on-going research projects, experimental results and recent developments related to AI for Secure Societies on the following topics (but not limited to): - Computer vision (e.g., crowd monitoring, scene understanding) - Multimedia information retrieval (e.g., indexing, searching and browsing, Big Data) - Information fusion from various sensors (e.g., visual, infrared, depth, sound) - Machine learning (e.g., very large scale deep learning, neural networks) - Embedded systems, IoT, and low energy footprint computing - Social media, cybercrimes and fake news - Surveillance systems and interactive solutions - Forensics and crime scene reconstruction - Unmanned aerial, terrestrial, underwater vehicles and robots - Biometric systems and algorithms (e.g., body, fingerprint, gesture, voice recognition) - Case studies, practical systems and testbeds - Ethics, data protection, privacy protection, civil liberties and social exclusion issues - Benchmarking, evaluation and data sets *** Submission guidelines *** RISS 2020 follows a single-blind review process, therefore authors are required to include their names and affiliations in their papers. All papers will be peer reviewed single-blind. Authors are requested to adhere to the IAPR Ethical Requirements when submitting their contributions. Workshop proceedings will be published with Springer and submissions should be formatted using the provided Springer templates. Accepted paper length is from 12 to 15 pages. To submit your contribution, follow the link https://easychair.org/conferences/?conf=riss2020. *** Organizing committee *** Bogdan Ionescu, University Politehnica of Bucharest, Romania Tiberio Uricchio, University of Florence, Italy Marian Buric, Protection and Guard Service, Romania Razvan Roman, Protection and Guard Service, Romania Vincent Charvillat, University of Toulouse, France Marco Cristani, University of Verona, Italy From p.opazo at uq.edu.au Mon Mar 2 07:32:33 2020 From: p.opazo at uq.edu.au (Patricio Opazo Olavarria) Date: Mon, 2 Mar 2020 12:32:33 +0000 Subject: Connectionists: In-vivo two-photon imaging of synaptic proteins_Postdoc opportunity in Australia Message-ID: <2D613F61-0241-4F3F-8F7A-9649E86213EF@contoso.com> Dear colleagues, There is an exciting postdoc opportunity to investigate the molecular basis of memory formation in the lab of Dr. Patricio Opazo and Dr. Victor Anggono at the Queensland Brain Institute in Brisbane, Australia. The project will involve implementing a visual discrimination go/no go task in awake mice under the two-photon microscope to visualize the dynamics of synaptic proteins during learning and memory in the visual cortex. For more information about this position please contact Dr Patricio Opazo on email p.opazo at uq.edu.au. or Apply directly at the University of Queensland Jobs search here: http://search.jobs.uq.edu.au/caw/en/job/509656/postdoctoral-research-fellow Kind regards, Pato ********************************************************** Patricio Opazo, PhD Group Leader Clem Jones Centre for Ageing Dementia Research Queensland Brain Institute The University of Queensland Building 79, Upland Rd Brisbane Qld 4072 Australia T +61 7 3443 2485 M +61 (0)428 311 510 E p.opazo at uq.edu.au W qbi.uq.edu.au/opazogroup CRICOS code: 00025B [signature_1848335026] The University of Queensland is embracing the Green Office philosophy. Please consider the environment before printing this email. This email (including any attached files) is intended solely for the addressee and may contain confidential information of The University of Queensland. If you are not the addressee, you are notified that any transmission, distribution, printing or photocopying of this email is prohibited. If you have received this email in error, please delete and notify me. Unless explicitly stated, the opinions expressed in this email do not represent the official position of The University of Queensland. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 21521 bytes Desc: image001.jpg URL: From dominik.endres at uni-marburg.de Mon Mar 2 10:25:42 2020 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Mon, 02 Mar 2020 16:25:42 +0100 Subject: Connectionists: PhD student in human sensorimotor processing Message-ID: <4981224.m0uPJWNEgC@pc04174> The research group for Theoretical Neuroscience of Prof. Dr. Dominik Endres at the Department of Psychology is currently accepting applications for a *** Research Assistant(PhD student) **** The position is offered for a period of 36 month,assuming the candidate has not previously spent time as a PhD student elsewhere. The starting date is as soon as possible.The position is part-time (65 %of regular working hours) with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E13, 65 %). The position is a part of the project C6(sensorimotor primitives) of the DFG-funded *** Collaborative Research Center CRC/TRR 135 ?Cardinal Mechanisms of Perception? *** More Information on the CRC can be found at http://www.allpsych.uni-giessen.de/sfb/index_en.html. Duties include the independent the development, implementation and execution of virtual reality experiments for the validation of (deep) learning and Bayesian models of human behavior and perception; the development, implementation and analysis of these models, contributions to scientific publications and regular and active participation in the CRC?s scientific program. Formal requirements are a qualified degree in psychology, cognitive science, computer science, engineering or physics (Master, Diploma, or comparable) as well as demonstrable programming experience in a high- level language, e.g. Python. We expect you to be interested in the topic of the project (to be documented in a motivation letter (1 page max), in which you may refer to prior experiences, for instance, a thematically pertinent thesis, student research assistant positions, etc.), developing virtual-reality scenarios and technology for research purposes as well as quantitative modelling. Advantageous qualifications are prior exposure to machine learning, Bayesian statistics, experience with human behavioral experiments as well as willingness to acquire basic German language skills. The full job advert can be found at https://www.uni-marburg.de/de/universitaet/administration/verwaltung/ dezernat2/personalabteilung/bewerber/stellen/wissenschaftliche-stellen/ fb04-0013-wmz-200320-englisch.pdf Please send your application (including a project-specific motivation letter in English, copies of relevant diplomas, curriculum vitae and contact details of two potential referees) mentioning reference no. fb04-0013-wmz-2020 only as a *single* PDF file to dominik.endres at uni-marburg.de before March 20th 2020. Feel free to contact Prof. Dr. Dominik Endres, mailto:dominik.endres at uni-marburg.de for more information. -- Prof. Dr. Dominik Endres AE Theoretische Neurowissenschaft Allgemeine und Biologische Psychologie FB Psychologie, Gutenbergstr 18, 35032 Marburg, Germany Tel. +49-(0)6421-28-23818 From Sofia.Delafuente at ed.ac.uk Mon Mar 2 10:47:44 2020 From: Sofia.Delafuente at ed.ac.uk (DE LA FUENTE GARCIA Sofia) Date: Mon, 2 Mar 2020 15:47:44 +0000 Subject: Connectionists: Reminder: ADReSS Challenge 2020 (INTERSPEECH) Message-ID: REMINDER: ADReSS 2020: Alzheimer's Dementia Recognition through Spontaneous Speech. Call for Participation: ----------------------- Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge at INTERSPEECH 2020 (Sep 15-18, Shanghai, China) Dementia is a category of neurodegenerative diseases that entails a long-term and usually gradual decrease of cognitive functioning. While a number of studies have investigated speech and language features for the detection of Alzheimer's Disease and mild cognitive impairment, and proposed various signal processing and machine learning methods for this prediction task, the field still lacks balanced and standardised data sets on which these different approaches can be systematically compared. The ADReSS Challenge has made available a benchmark dataset of spontaneous speech, which is acoustically pre-processed and balanced in terms of age and gender, defining a shared task through which different approaches to AD recognition in spontaneous speech can be compared. We invite researchers working on speech and language analysis methods for detection of AD and/or assessment of cognitive status to develop or test their approaches to these tasks on the ADReSS Challenge dataset, and to submit a paper for presentation at INTERSPEECH'2020, in the Challenge's special session. The relevant dates are: * January 24, 2020: ADReSS training data available * March 15, 2020: ADReSS test data made available * March 17, 2020: Period for submission of results opens * March 30, 2020: INTERSPEECH'2020 paper submission deadline * June 19, 2020: Paper acceptance/rejection notification * September 15-18, 2020: INTERSPEECH'2020, in Shanghai, China. For further details please see https://edin.ac/375QRNI Sofia de la Fuente MRC PhD Scholar in Precision Medicine Usher Institute Edinburgh Medical School University of Edinburgh https://www.ed.ac.uk/profile/sofia-de-la-fuente The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From anal2kumar at gmail.com Tue Mar 3 03:03:55 2020 From: anal2kumar at gmail.com (Anal Kumar) Date: Tue, 3 Mar 2020 13:33:55 +0530 Subject: Connectionists: CAMP at Bangalore 2020 Course application deadline extended In-Reply-To: References: Message-ID: Dear Colleagues, The deadline to apply for CAMP at Bangalore 2020 has been extended till *March 10*. The course runs from 29 June 2020 to 14 July 2020. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school where students will be trained in theoretical and computational modeling, pertaining to memory and plasticity in the brain, spanning different scales of space, time and complexity. This flavor of CAMP will focus on ? *Hippocampus beyond Space, and Dimensionality & Manifolds*. The course will have lectures, hands-on tutorials, and project work to launch students into the exciting field of computational neuroscience. The course is supported by the Simons Foundation. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Application deadline: 10 March 2020, 11:59 PM IST Referee letters must reach by 12 March 2020, 11:59 PM IST *Speakers:* Aaron Batista, University of Pittsburgh, USA Alessandro Treves, SISSA, Italy Collins Assisi, IISER Pune, India Kishore Kuchibhotla, Johns Hopkins University, USA Marianne Fyhn, University of Oslo, Norway Sachin Deshmukh, IISc Bangalore, India Srdjan Ostojic, Ecole normale sup?rieure, France Suhita Nadkarni, IISER Pune, India Taro Toyoijumi, RIKEN, Japan Torkel Hafting, University of Oslo, Norway Visit the course website *http://camp.ncbs.res.in/ * for more details about the course and previous CAMPs. Course Organizers: Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Upinder Bhalla (National Centre for Biological Sciences, Bangalore) Best, Organizing Committee CAMP 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From nc528 at cam.ac.uk Tue Mar 3 05:43:34 2020 From: nc528 at cam.ac.uk (Nikhil Churamani) Date: Tue, 3 Mar 2020 10:43:34 +0000 Subject: Connectionists: [CFP] CVPR'20 Workshop CFP: Workshop on Continual Learning in Computer Vision (CLVision) In-Reply-To: <17D42428-65A4-4A28-9B54-1D7F52E693BF@cam.ac.uk> References: <17D42428-65A4-4A28-9B54-1D7F52E693BF@cam.ac.uk> Message-ID: <4E64697E-E930-4F54-B407-B6FB9BF14A06@cam.ac.uk> Dear All, Posting the CFP again. Apologies for cross-posting. CLVISION CVPR 2020: Workshop on Continual Learning in Computer Vision https://sites.google.com/view/clvision2020 OVERVIEW During the past few years we have witnessed a renewed and growing attention to Continuous Learning (CL). The interest in CL is essentially twofold. From the artificial intelligence perspective, CL can be seen as another important step towards the grand goal of creating autonomous agents which can learn continuously and acquire new and complex skills and knowledge. From a more practical perspective, CL looks particularly appealing because it enables two important properties: adaptability and scalability. One of the key hallmarks of CL techniques is the ability to update the models by using only recent data (i.e., without accessing old data). This is often the only practical solution when learning on the edge from high-dimensional streaming or ephemeral data, which would be impossible to keep in memory and process from scratch every time a new piece of information becomes available. Unfortunately, when (deep or shallow) neural networks are trained only on new data, they experience a rapid overriding of their weights with a phenomenon known in the literature as catastrophic forgetting. To this end, the goal of the CVPR 2020 Workshop on Continual Learning (CLVISION) is to explore methods that generalize to a continuous stream of tasks, incrementally consolidating their knowledge without interfering with previously learned information. Thus, we encourage submissions that address the problems of learning from a few examples, catastrophic forgetting and online learning, large-scale realistic benchmarks, or bio-inspired systems for continual learning, such as memory and plasticity. In this one-day workshop, we will have regular paper presentations, invited speakers, and technical benchmark challenges to present the current state of the art, as well as the limitations and future directions for computer vision in continual learning, arguably one of the most crucial milestones of computer vision and AI in general. We solicit paper submissions on novel methods and application scenarios of Continual Learning. TOPICS OF INTEREST (include but are not limited to): * Continual/Lifelong learning: Models that are able to adapt to new tasks without forgetting the previously-learned ones. * Few-shot learning: Models that learn from a few examples. * Transfer learning: Models that use new information to improve the performance in previous and novel tasks. * Online learning: Models that can learn online. * Bio-inspired learning: Works that take inspiration in nature to propose fundamental mechanisms for continual learning, such as memory or synaptic plasticity. * Curiosity: Works where the model identifies the most important pieces of information to incorporate new knowledge efficiently. Unsupervised/self-supervised models are welcome. * Metrics: Metrics and benchmarks for continual learning of visual representations. * Experience replay: Experience replay for learning systems and robots. All accepted papers will be presented as posters. Two papers will be selected for oral presentation and one paper will be awarded as the best paper. CLVision CHALLENGE: CLVision workshop also provides a comprehensive 2-phase challenge track to thoroughly assess novel continual learning solutions in the computer vision context based on 3 different continual learning (CL) protocols. With this challenge we aim to: * Invite the research community to scale up CL approaches to natural images and possibly on video benchmarks. * Invite the community to work on solutions that can generalize over multiple CL protocols and settings (e.g. with or without a ?task? supervised signal). * Provide the first opportunity for comprehensive evaluation on a shared hardware platform for a fair comparison. * Provide the first opportunity to show the generalization capabilities (over learning) of the proposed approaches on a hidden continual learning benchmark. More details on the CLVision Workshop Challenge can be found here: https://sites.google.com/view/clvision2020/challenge. SUBMISSION GUIDELINES: * The submitted manuscript should follow the CVPR 2019 paper template. Paper submission through: https://cmt3.research.microsoft.com/CONTVISION2020 * The page limit for a full paper is 8 pages (excluding references) and short-papers is 4-pages (excluding references). * We accept dual submissions to CVPR 2020 and CLVISION 2020, but the manuscript must contain substantial original contents not submitted to any other conference, workshop or journal. * Submissions will be rejected without review if they: * contain more than 8 pages (excluding references). * violate the double-blind policy or violate the dual-submission policy. * The accepted papers will be linked at the workshop webpage and also in the main conference proceedings if the authors agree * Papers will be peer-reviewed under the double-blind policy. IMPORTANT DATES: Workshop paper submission deadline: March 20th 2020 (11:59 pm Pacific Time) * Notification to authors: 2nd April 2020 * Camera-ready deadline: 10th April 2020 (11:59 pm Pacific Time) * Workshop date: June 14, 2020 INVITED SPEAKERS: * Dr Razvan Pascanu, DeepMind. * Prof Chelsea Finn, Assistant Professor at Stanford University. * Prof Cordelia Schmid INRIA Research Director, Head of THOTH Project Team. * Prof David Maltoni, Professor, Universita Di Bologna. * Prof Christopher Kanan, PAIGE, RIT and CornellTech. * Prof Gemma Roig, Ass. Professor at SUTD, MIT. * Subutai Ahmad, VP Research, Numenta. ORGANIZERS: * Pau Rodriguez, Element AI. * German Parisi, University of Hamburg. * David Vazquez, Element AI. * Vincenzo Lomonaco, University of Bologna. * Nikhil Churamani, University of Cambridge. * Zhiyuan (Brett) Chen, Google. * Marc Pickett, Google Research. WORKSHOP WEBSITE https://sites.google.com/view/clvision2020/ PAPER SUBMISSION: https://cmt3.research.microsoft.com/CONTVISION2020 --------------------------- Thanks and Regards Nikhil Churamani PhD Student University of Cambridge Department of Computer Science and Technology William Gates Building 15 JJ Thomson Avenue Cambridge CB3 0FD Phone: +44 1223 767024 Email: Nikhil DOT Churamani AT cl.cam.ac.uk Web: https://www.cl.cam.ac.uk/~nc528 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Tue Mar 3 06:49:59 2020 From: mpavone at dmi.unict.it (Mario Pavone) Date: Tue, 03 Mar 2020 12:49:59 +0100 Subject: Connectionists: [Meetings] Announcement new speaker @ MESS 2020 Message-ID: <20200303124959.Horde.Y-5bd_ph4B9eXkRna5I2ATA@mbox.dmi.unict.it> Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2020 - Metaheuristics Summer School - Learning & Optimization from Big Data - 27-31 July 2020, Catania, Italy https://www.ANTs-lab.it/mess2020/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** APPLICATION DEADLINE: 5th March 2020 ** https://www.ants-lab.it/mess2020/application/ MESS 2020 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. The main theme of the 2020 edition is ?Learning and Optimization from Big Data?, therefore MESS 2020 wants to focus on (i) Learning for Metaheuristics; (ii) Optimization in Machine Learning; and (iii) how Optimization and Learning affect the Metaheuristics making them relevant in handling Big Data. All participants will have plenty of opportunities for debate and work with leaders in the field, benefiting from direct interaction and discussions in a stimulating environment. They will also have the possibility to present their recently results and/or their working in progress through oral or poster presentations, and interact with their scientific peers, in a friendly and constructive environment. Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. ** LIST OF LECTURERS + Angelo Cangelosi, University of Manchester & Alan Turing Institute, UK + Swagatam Das, Indian Statistical Institute, Kolkata + Luca Maria Gambardella, IDSIA Istituto Dalle Molle for Artificial Intelligence, Switzerland + Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK + Emma Hart, Edinburgh Napier University, UK + Rafael Mart?, University of Valencia, Spain + Mauricio Resende, AMAZON, USA + Roman Slowinski, Pozna? University of Technology, Poland + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy ** SCHOOL DIRECTORS + Pascal Bouvry, University of Luxembourg, Luxembourg + Salvatore Greco, University of Catania, Italy + Ender Ozcan, University of Nottingham, UK + Mario Pavone, University of Catania, Italy + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy ** METAHEURISTICS COMPETITION All participants to the school will be involved in the ?Metaheuristics Competition?, where each of them will must develop a metaheuristic solution on the given problem. The top three of the competition ranking will receive the MESS 2020 prize. Students whose algorithm will rank in the first five top of the competition ranking, will be invited to submit a report/manuscript of their work to be published in the special MESS 2020 Volume of the AIRO Springer Series. ** METAHEURISTICS COMPETITION CHAIRS + Raffaele Cerulli, University of Salerno, Italy + Andrea Schaerf, University of Udine, Italy ** SHORT TALK & POSTER PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. Mini-Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted by *March 5, 2020*. ** WORKSHOP CHAIRS + Vincenzo Cutello, University of Catania, Italy + Paola Festa, University of Naples ?Federico II?, Italy + Isaac Triguero, University of Nottingham, UK *See Previous Edition - MESS 2018* https://www.ants-lab.it/mess2018/ ** MORE INFORMATION: https://www.ANTs-lab.it/mess2020/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ============================================================ *MESS 2020* - Metaheuristics Summer School 27-31 July 2020, Catania, Italy W: https://www.ANTs-lab.it/mess2020/ E: mess.school at ANTs-lab.it FB: https://www.facebook.com/groups/MetaheuristicsSchool/ ============================================================ From boubchir at ai.univ-paris8.fr Tue Mar 3 07:15:26 2020 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 3 Mar 2020 13:15:26 +0100 Subject: Connectionists: CfP: The 4th International Workshop on Recent Advances in Biometrics and its Applications | 2020 43th Int. Conference on Telecommunications and Signal Processing (TSP) | IEEE R8 | IEEE In-Reply-To: <90c3634e-e735-8008-84df-659d2af5c351@ai.univ-paris8.fr> References: <90c3634e-e735-8008-84df-659d2af5c351@ai.univ-paris8.fr> Message-ID: [Apologies if you got multiple copies of this invitation] ---------------------------------------------------------------------------------------- *The 4th International Workshop on Recent Advances in Biometrics and its Applications * July 7-9, 2020, Milan, Italy https://tsp.vutbr.cz/documents/TSP2020_CFP_WS3_v3.pdf ---------------------------------------------------------------------------------------- Biometric recognition has become a burgeoning research area due to the industrial and government needs for recognition, security and privacy concerns. It has also become center of focus for many authentication and identification applications in the civil and forensic fields. Within the framework of the 2020 43rd International Conference on Telecommunications and Signal Processing (TSP) held during July 7-9, 2020 in Milan, Italy, we invite you to the 4th International Workshop on Recent Advances in Biometrics and its Applications. The goal of this workshop is to present and discuss the recent fundamental and applied research works, providing novel solutions to challenging problems in biometrics. It is an opportunity to bring researchers and experts together to discuss the current and future state of biometrics and possible areas of further cooperation. Topics of interest include, but are not limited to, the following: - Biometrics based authentication and identification - Physiological and behavioral biometrics - Signal, image and video processing in biometrics - Machine learning in biometrics - Artificial intelligence in biometrics - Fusion techniques in biometrics - Soft biometrics - Multimodal biometrics - Biometric security and privacy - Big data challenges in biometrics - Related applications --------------------------- Important Dates --------------------------- Paper Submission Deadline: *March 9, 2020* Notification of Acceptance: April 15, 2020 Final Paper Submission: April 30, 2020 Authors' Registration: May 20, 2020 Conference/workshop: July 1-3, 2020 --------------------------- Proceedings --------------------------- All the accepted papers will be published in the conference proceedings issued online, which (containing only presented papers at the conference) will be submitted for indexing to the IEEE Xplore? Digital Library ? IEEE Conference Record #49548, Conference Proceedings Citation Index (CPCI) of Thomson Reuters (formerly ISI Proceedings), SCOPUS, DBLP, and Google Scholar databases. --------------------------- Special Journal Issue --------------------------- Selected high-quality papers will be invited for publication in a Special Issue on "Advanced Machine Learning Algorithms for Biometrics and its Applications" in Applied Science journal (SJR Q1 in Engineering, IF: 2.217). --------------------------- Editorial Board --------------------------- Assoc. Prof. Dr. Larbi Boubchir - LIASD - University of Paris 8, France (Editor-in-Chief, larbi.boubchir at ai.univ-paris8.fr) Prof. Boubaker Daachi - LIASD - University of Paris 8, France -- _____________________________________________________ Larbi Boubchir, PhD, SMIEEE Associate Professor-HDR LIASD - University of Paris 8 2 rue de la Libert?, 93526 Saint-Denis, France Tel. (+33) 1 49 40 67 95 Email. larbi.boubchir at ai.univ-paris8.fr http://www.ai.univ-paris8.fr/~boubchir/ _____________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.M.Bohte at cwi.nl Tue Mar 3 09:24:05 2020 From: S.M.Bohte at cwi.nl (Sander Bohte) Date: Tue, 3 Mar 2020 15:24:05 +0100 Subject: Connectionists: 3 PhD or Postdoc positions on Hierarchical Cognitive Processing Message-ID: 3 PHD STUDENT OR POSTDOC POSITIONS, ON THE SUBJECT OF ARCHITECTURES AND LEARNING METHODS FOR HIERARCHICAL COGNITIVE PROCESSING. Job description Our recent theoretical insights have allowed a preliminary understanding of how animals learn to represent and memorize the key features of sensory stimuli for the guidance of action based on reinforcement learning (Rombouts et al. PloS Comp Biol 2015; Holtmaat & Roelfsema, Nature Reviews Neuroscience, 2018). The present project focuses on the hierarchical learning of cognitive subroutines, which can be incorporated into larger routines, by trial and error. We aim to develop biologically plausible learning rules that endow neural networks with the possibility to learn hierarchical task structures and learn and execute cognitive tasks. Topics of interest include - the role of learnable/flexible working memory models in learning and executing hierarchically structures routines. The project is a collaboration between the Vision & Cognition group (Prof.dr. Pieter Roelfsema) at the Netherlands Institute for Neuroscience and the Machine Learning Lab at the Centrum Wiskunde & Informatica in Amsterdam (Prof.dr. Sander Boht?). Requirements You are highly motivated, have a solid computational background, an interest in cognitive neuroscience and good programming skills. Application Applications can be sent before 15 March 2020 to l.van.der.vecht at nin.knaw.nl including 1) a Curriculum Vitae; 2) an application letter and 3) two reference letters. The evaluation of candidates will begin immediately and continue until the position is filled. We aim to fill the position between April and July 2020. For more information about the vacancy, see here: https://nin.nl/about-us/vacancies/vision-cognition-phd-postdoc/ or https://www.cwi.nl/jobs/vacancies/3-phd-student-or-postdoc-positions-on-the-subject-of-architectures-and-learning-methods-for-hierarchical-cognitive-processing For direct contact: Prof.dr. Pieter Roelfsema, email p.roelfsema at nin.knaw.nl, telephone +31 20 566 4587 or Prof.dr. Sander Bohte, email S.M.Bohte at cwi.nl, telephone +31 20 592 4074 -------------- next part -------------- An HTML attachment was scrubbed... URL: From zapotocky at biomed.cas.cz Tue Mar 3 16:04:52 2020 From: zapotocky at biomed.cas.cz (Martin Zapotocky) Date: Tue, 3 Mar 2020 22:04:52 +0100 Subject: Connectionists: CNS*2020 Melbourne: Abstract DEADLINE EXTENDED Message-ID: <2ca2e4bc-f13d-30de-2b93-0630155c4e98@biomed.cas.cz> Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA* Call for Abstracts - Deadline Extension* *29th Annual Computational Neuroscience Meeting (CNS*2020)* Melbourne, Australia July 18--22, 2020 https://www.cnsorg.org/cns-2020-quick The CNS*2020 abstract submission deadline has been extended to *Wednesday, March 11* at 11:00 pm Pacific Time. Note that one of the authors *must register* as sponsoring author for the main meeting before abstract submission. *Travel awards up to 1,000 USD* are available for student and postdoc members of OCNS to attend the main meeting. Please note that an extended abstract is required when applying for a travel award or oral presentation format. *The Travel Award application deadline *coincides with the abstract submission deadline. For a statement on the Covid-19 outbreak and CNS*2020 registration, please see: https://www.cnsorg.org/cns-2020-covid-19-updates Abstract Submission for the main meeting: https://www.cnsorg.org/cns-2020-abstract-submission The Call for Workshops remains open: https://www.cnsorg.org/cns-2020-call-for-workshops -- Martin Zapotocky, Ph.D. Institute of Physiology, Czech Academy of Sciences Videnska 1083 14220 Prague 4, Czech Republic URL:www.biomed.cas.cz/~zapotocky Tel: +420-241-062-708 Email:zapotocky at biomed.cas.cz Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences. -------------- next part -------------- An HTML attachment was scrubbed... URL: From antolikjan at gmail.com Tue Mar 3 15:03:17 2020 From: antolikjan at gmail.com (Jan Antolik) Date: Tue, 3 Mar 2020 21:03:17 +0100 Subject: Connectionists: 2 PhD positions in the European Training Network project ENTRAIN-VISION in Prague Message-ID: 2 PhD positions are available in the European Training Network project ENTRAIN-VISION in Prague, within the Marie Sklodowska-Curie ETN - Early Stage Researcher (PhD) program. Blindness is the most feared handicap leading to the greatest exclusion from society by reducing patient autonomy and mobility. Clinical trials have demonstrated the possibility to regain some useful vision with retinal prostheses in patients having lost photoreceptors. New approaches are entering into clinical trials such as photovoltaic implants, optogenetic therapy and even cortical prostheses for patients having lost eye to brain connection. In the ENTRAIN-VISION project, the Early Stage Researchers (ESRs) will work on these innovative technologies for restoring vision in blind patients. Their training in academic institutes or industry will be completed by several secondments, including at least one at an industry partner. In addition, several summer schools will address scientific subjects on vision restoration and transferable skills in technology transfer, clinical trials, start-up creation, and communication to the media. At the Computational Systems Neuroscience Group (CSNG ) at Charles University in Prague, we will address the problem of how to encode visual stimulus, such that the stimulation of the targeted visual processing stage (retina, thalamus or cortex) leads to perception of the given stimulus by the implanted subject. We will address this question via computational means, relying on both large-scale recurrent spiking neural network models of early visual system , as well as novel deep neural network machine learning techniques. This way, we will inform the future design of the visual prosthetic devices and contribute to the information processing software that will run on the implanted hardware. What we offer: - Obtain a PhD from Charles University in Prague. - Internships at technological innovators Innovatric and GoodAI , and 3 month secondment at another ENTRAIN-VISION partner (see attachments for full list). - Work in close collaboration with the leading vision restoration lab of Dr. Serge Picaud at the Institute de la Vision , Paris. - A full-time 3-year paid contract, starting September 2020. Main tasks and responsibilities: - Building and testing large-scale recurrent spiking neural network models of early visual system. - Extending these simulations with model of the prosthetic system, and calibrating the resulting simulation stack against physiological data provided by the project partners. - Developing encoding schemes for visual stimuli that will provide both accurate and efficient stimulation of the neural visual substrate. - Evaluating candidate encoding schemes in the simulation environment. - Finding efficient implementations of the selected encoding schemes in the low-powered prosthetic hardware. Skills and qualifications: - Bachelor (BSc) and Master (MSc) in Physics/Mathematics/Engineer/Neuroscience/Computer Science or related fields - Programming skills: Python. - Willing to learn new skills and work in teams - High level of English proficiency - Prior experience in neural modelling a plus For further information on all project partners, *how to apply* and *deadlines* please see attached documents. J?n Antol?k , PhD -- Associate Researcher Computational Systems Neuroscience Group Faculty of Mathematics and Physics Charles University in Prague, Czech Republic -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ENTRAIN Vision ESR recruitement flyer.pdf Type: application/pdf Size: 104089 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ENTRAIN VISION recruitment announcement.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 17138 bytes Desc: not available URL: From dwang at cse.ohio-state.edu Tue Mar 3 14:17:21 2020 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Tue, 3 Mar 2020 14:17:21 -0500 Subject: Connectionists: NEURAL NETWORKS, March 2020 Message-ID: Neural Networks - Volume 123, March 2020 https://www.journals.elsevier.com/neural-networks Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data Chandan Gautam, Pratik K. Mishra, Aruna Tiwari, Bharat Richhariya, ... M. Tanveer A counterexample regarding "New study on neural networks: The essential order of approximation" Steffen Goebbels Cuneate spiking neural network learning to classify naturalistic texture stimuli under varying sensing conditions Udaya B. Rongala, Alberto Mazzoni, Anton Spanne, Henrik Jorntell, Calogero M. Oddo Synchronization of Hindmarsh Rose Neurons Malik S.A., Mir A.H. Multi-task learning for the prediction of wind power ramp events with deep neural networks M. Dorado-Moreno, N. Navarin, P.A. Gutierrez, L. Prieto, ... C. Hervas-Martinez A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang, ... Hui Zhao Finite-time and fixed-time anti-synchronization of Markovian neural networks with stochastic disturbances via switching control Peng Wan, Dihua Sun, Min Zhao Simplified calcium signaling cascade for synaptic plasticity Vladimir Kornijcuk, Dohun Kim, Guhyun Kim, Doo Seok Jeong Modeling functional resting-state brain networks through neural message passing on the human connectome Julio A. Peraza-Goicolea, Eduardo Martinez-Montes, Eduardo Aubert, Pedro A. Valdes-Hernandez, Roberto Mulet The role of coupling connections in a model of the cortico-basal ganglia-thalamocortical neural loop for the generation of beta oscillations Chen Liu, Changsong Zhou, Jiang Wang, Chris Fietkiewicz, Kenneth A. Loparo Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture Alison O'Shea, Gordon Lightbody, Geraldine Boylan, Andriy Temko Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Yangming Zhou Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging Zhifan Gao, Xin Wang, Shanhui Sun, Dan Wu, ... Victor Hugo C. de Albuquerque Discriminative margin-sensitive autoencoder for collective multi-view disease analysis Zheng Zhang, Qi Zhu, Guo-Sen Xie, Yi Chen, ... Shuihua Wang A scalable multi-signal approach for the parallelization of self-organizing neural networks Mirto Musci, Giacomo Parigi, Virginio Cantoni, Marco Piastra Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser Evolving artificial neural networks with feedback Sebastian Herzog, Christian Tetzlaff, Florentin Worgotter Discriminative structure learning of sum-product networks for data stream classification Zhengya Sun, Cheng-Lin Liu, Jinghao Niu, Wensheng Zhang Robust face alignment by cascaded regression and de-occlusion Jun Wan, Jing Li, Zhihui Lai, Bo Du, Lefei Zhang Extreme learning machine for a new hybrid morphological/linear perceptron Peter Sussner, Israel Campiotti Efficient network architecture search via multiobjective particle swarm optimization based on decomposition Jing Jiang, Fei Han, Qinghua Ling, Jie Wang, ... Henry Han ELM embedded discriminative dictionary learning for image classification Yijie Zeng, Yue Li, Jichao Chen, Xiaofan Jia, Guang-Bin Huang Global collaboration through local interaction in competitive learning Abbas Siddiqui, Dionysios Georgiadis Bayesian deep matrix factorization network for multiple images denoising Shuang Xu, Chunxia Zhang, Jiangshe Zhang Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms Yanyi Cao, Yuting Cao, Zhenyuan Guo, Tingwen Huang, Shiping Wen Dimension independent bounds for general shallow networks H.N. Mhaskar CS-MRI reconstruction based on analysis dictionary learning and manifold structure regularization Jianxin Cao, Shujun Liu, Hongqing Liu, Hongwei Lu New H_infinity state estimation criteria of delayed static neural networks via the Lyapunov-Krasovskii functional with negative definite terms Jing He, Yan Liang, Feisheng Yang, Feng Yang Existence and finite-time stability of discrete fractional-order complex-valued neural networks with time delays Xingxing You, Qiankun Song, Zhenjiang Zhao Finite-time nonfragile time-varying proportional retarded synchronization for Markovian Inertial Memristive NNs with reaction-diffusion items Xiaona Song, Jingtao Man, Shuai Song, Zhen Wang On the minimax optimality and superiority of deep neural network learning over sparse parameter spaces Satoshi Hayakawa, Taiji Suzuki Global synchronization of coupled delayed memristive reaction-diffusion neural networks Shiqin Wang, Zhenyuan Guo, Shiping Wen, Tingwen Huang Spacial sampled-data control for H_infinity output synchronization of directed coupled reaction-diffusion neural networks with mixed delays Binglong Lu, Haijun Jiang, Cheng Hu, Abdujelil Abdurahman Structured pruning of recurrent neural networks through neuron selection Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia Cosimo Ieracitano, Nadia Mammone, Amir Hussain, Francesco C. Morabito Liver disease screening based on densely connected deep neural networks Zhenjie Yao, Jiangong Li, Zhaoyu Guan, Yancheng Ye, Yixin Chen From anal2kumar at gmail.com Wed Mar 4 01:50:06 2020 From: anal2kumar at gmail.com (Anal Kumar) Date: Wed, 4 Mar 2020 12:20:06 +0530 Subject: Connectionists: CAMP at Bangalore 2020 Course application deadline extended In-Reply-To: References: Message-ID: Dear all, Apologies for a mistake in the name of a speaker in the previous mail. The list of speakers at CAMP 2020 stands: Aaron Batista, University of Pittsburgh, USA Alessandro Treves, SISSA, Italy Collins Assisi, IISER Pune, India Kishore Kuchibhotla, Johns Hopkins University, USA Marianne Fyhn, University of Oslo, Norway Sachin Deshmukh, IISc Bangalore, India Srdjan Ostojic, Ecole Normale Sup?rieure, France Suhita Nadkarni, IISER Pune, India Taro Toyoizumi, RIKEN, Japan Torkel Hafting, University of Oslo, Norway On Tue, Mar 3, 2020 at 1:33 PM Anal Kumar wrote: > Dear Colleagues, > > The deadline to apply for CAMP at Bangalore 2020 has been extended till *March > 10*. The course runs from 29 June 2020 to 14 July 2020. > CAMP (Computational Approaches to Memory and Plasticity at NCBS, > Bangalore) is a 16-day summer school where students will be trained in > theoretical and computational modeling, pertaining to memory and plasticity > in the brain, spanning different scales of space, time and complexity. This > flavor of CAMP will focus on ? *Hippocampus beyond Space, and > Dimensionality & Manifolds*. The course will have lectures, hands-on > tutorials, and project work to launch students into the exciting field of > computational neuroscience. The course is supported by the Simons > Foundation. > > Students worldwide are encouraged to apply. Accommodation and food will be > free for the selected students. There is no registration fee. > Students are advised to obtain independent travel grants. > > Application deadline: 10 March 2020, 11:59 PM IST > Referee letters must reach by 12 March 2020, 11:59 PM IST > > *Speakers:* > Aaron Batista, University of Pittsburgh, USA > Alessandro Treves, SISSA, Italy > Collins Assisi, IISER Pune, India > Kishore Kuchibhotla, Johns Hopkins University, USA > Marianne Fyhn, University of Oslo, Norway > Sachin Deshmukh, IISc Bangalore, India > Srdjan Ostojic, Ecole normale sup?rieure, France > Suhita Nadkarni, IISER Pune, India > Taro Toyoijumi, RIKEN, Japan > Torkel Hafting, University of Oslo, Norway > > Visit the course website *http://camp.ncbs.res.in/ > * for more details about the course and > previous CAMPs. > > Course Organizers: > Arvind Kumar (KTH Stockholm) > Rishikesh Narayanan (Indian Institute of Science, Bangalore) > Upinder Bhalla (National Centre for Biological Sciences, Bangalore) > > Best, > Organizing Committee > CAMP 2020 > -------------- next part -------------- An HTML attachment was scrubbed... URL: From mohsen.jafarzade at gmail.com Tue Mar 3 14:40:06 2020 From: mohsen.jafarzade at gmail.com (Mohsen Jafarzadeh) Date: Tue, 3 Mar 2020 12:40:06 -0700 Subject: Connectionists: Two postdoc positions in Machine Learning Learning and Computer Vision at University of Colorado Colorado Springs Message-ID: Two postdoc positions in Machine Learning Learning and Computer Vision at University of Colorado Colorado Springs Dr. Terrance Boult and his team at UCCS are seeking highly motivated postdoctoral researchers with a strong record of accomplishment in machine learning and computer vision, ideally with incremental learning, deep learning, or open-set learning. The postdocs are expected to both do research, develop software, write papers, and lead/works with students. Classic machine learning and AI make a closed-world assumption, leading to fragile systems that cannot label novel inputs as unknown nor handle novel variations in the world. Very few existing systems can detect novelty and then learn from previous unknowns ? almost all systems misclassify the unknown. At the core of intelligence is the ability to recognize when we do not know something, analyze the need to learn about it, and then, when needed, to adapt and learn it ? a process we call open-world learning. We seek candidates to join our multi-institution efforts exploring four main research directions: 1) Formalized models for open world learning with extreme-value theory, 2) Semi-supervised and unsupervised incremental learning, 3) Open world learning for object classification and detection, and 4) Open world learning in visual observation of games. * International candidates with strong English skills will be considered; we can manage the visa issues. * The University of Colorado is an equal opportunity employer; women and underrepresented populations are encouraged to apply. If you are interested, please apply at https://cu.taleo.net/careersection/2/jobdetail.ftl?job=17908&lang=en -------------- next part -------------- An HTML attachment was scrubbed... URL: From william.smith at york.ac.uk Tue Mar 3 16:13:38 2020 From: william.smith at york.ac.uk (William Smith) Date: Tue, 3 Mar 2020 21:13:38 +0000 Subject: Connectionists: CFP: BMVC 2020 - British Machine Vision Conference, Manchester Message-ID: CFP: British Machine Vision Conference (BMVC) 2020 The British Machine Vision Conference (BMVC) 2020 will be held in Manchester on September 7 - 11, 2020. Timeline Deadline Date Workshop Proposals Thursday 2nd April Paper Abstracts Thursday 23rd April Paper Submission Thursday 30th April Reviews Submitted Thursday 4th June Area Chair Decisions Thursday 25th June Author Notifications Thursday 2nd July Camera Ready Thursday 23rd July Conference 7th - 11th September Call for Papers The British Machine Vision Conference (BMVC) is one of the major international conferences on computer vision and related areas. It is organised by the British Machine Vision Association (BMVA). The 31st BMVC will be held in Manchester, 7-11 Sept 2020. Authors are invited to submit full-length high-quality papers in image processing, machine vision, computer vision, and related areas. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation. All papers will be reviewed doubly blind, normally by three members of our international programme committee. The BMVC is a single track meeting with oral and poster presentations and will include three keynote presentations and two tutorials. Please Note: In keeping with conferences in the field (e.g. NeurIPS 2020: https://medium.com/@NeurIPSConf/getting-started-with-neurips-2020-e350f9b39c28) and to cope with the increasing number of submissions, we ask that all authors be prepared to review papers and make use of a compulsory abstract submission deadline a week before the paper submission deadline. The CMT submission site will ask authors to acknowledge this commitment and failure to engage with the reviewing process might be grounds for rejection. Topics include, but are not limited to: Statistics and machine learning for vision Stereo, calibration, geometric modelling and processing Face and gesture recognition Early and biologically inspired vision Motion, flow and tracking Segmentation and grouping Model-based vision Image processing techniques and methods Texture, shape and colour Video analysis Document processing and recognition Vision for quality assurance, medical diagnosis, etc. Vision for visualisation, interaction, and graphics Object detection and recognition Shape-from-X Video analysis for action and event recognition Illumination and reflectance Deep learning for vision 3D computer vision RGBD analysis Accepted papers will be included in the conference proceedings published and DOI indexed by BMVA. Past proceedings can be found online: https://britishmachinevisionassociation.github.io/bmvc Prospective authors can have a look at the 2019 edition, as an example: https://bmvc2019.org/programme/ The abstract deadline is Thursday 23rd April 2020 and the paper submission deadline is Thursday 30th April 2020 (both 23:59, Pacific Time). Selected best papers are invited to a special issue of the International Journal of Computer Vision (IJCV) for BMVC 2020 Best Papers. Any queries to the Programme Chairs should be sent to: bmvc-2020-pc at lists.bath.ac.uk The BMVC 2020 Programme Chairs are: Neill Campbell (University of Bath) Lourdes Agapito (University College London) William Smith (University of York) Martin Fergie (University of Manchester) Moi Hoon Yap (Manchester Metropolitan University) A PDF version of this call for papers may be downloaded here: https://britishmachinevisionassociation.github.io/assets/events/bmvc2020cfp.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Wed Mar 4 02:58:34 2020 From: nemanja at temple.edu (Nemanja Djuric) Date: Wed, 4 Mar 2020 02:58:34 -0500 Subject: Connectionists: 3rd CfP: CVPR 2020 - The 2nd Workshop on "Precognition: Seeing through the Future" Message-ID: Call for Workshop Papers The 2nd Workshop on "Precognition: Seeing through the Future" in conjunction with The 33rd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) Seattle, WA, USA, June 14th-19th, 2020 https://sites.google.com/view/ieeecvf-cvpr2020-precognition ================= Despite its potential and relevance for real-world applications, visual forecasting or precognition has not been in the focus of new theoretical studies and practical applications as much as detection and recognition problems. Through the organization of this workshop we aim to facilitate further discussion and interest within the research community regarding this nascent topic. The workshop will discuss recent approaches and research trends not only in anticipating human behavior from videos, but also precognition in multiple other visual applications, such as: medical imaging, health-care, human face aging prediction, early event prediction, autonomous driving forecasting, and so on. In addition, this workshop will give an opportunity for the community in both academia and industry to meet and discuss future work and research directions. It will bring together researchers from different fields and viewpoints to discuss existing major research problems and identify opportunities in further research directions in both research topics and industrial applications. This is the second Precognition workshop organized at CVPR. It follows a very successful workshop organized in 2019, which featured talks from researchers across a number of industries, insightful presentations, and large attendance. For full programs, slides, posters, and other resources, please visit the website of Precognition 2019 at https://sites.google.com/view/ieeecvf-cvpr2019-precognition. ================= Topics: The workshop focuses on several important aspects of visual forecasting. The topics of interest for this workshop include, but are not limited to: - Early event prediction - Activity forecasting - Multi-agent forecasting - Human behavior prediction - Human face aging prediction - Anticipation of trajectories - Short- and long-term prediction and diagnoses in medical imaging - Predicting frames and features in videos and other sensors in autonomous driving - New theories and applications in visual forecasting models - Databases, evaluation, and benchmarking in precognition ================= Submission Instructions: All submitted work will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted submission, at least one author must attend the workshop and present the paper. There are two ways to contribute submissions to the workshop: - Extended abstracts submissions are single-blind peer-reviewed, and author names and affiliations should be listed. Extended abstract submissions are limited to a total of four pages. Accepted abstracts will be presented at the poster session, and will not be included in the printed proceedings of the workshop. - Full paper submissions are double-blind peer-reviewed. The submissions are limited to eight pages, including figures and tables, in the CVPR style. Additional pages containing only cited references are allowed (additional information about formatting and style files is available at the website). Accepted papers will be presented at the poster session, with selected papers also being presented in an oral session. All accepted papers will be published by the CVPR in the workshop proceedings. Submission website: https://cmt3.research.microsoft.com/PRECOGNITION2020 ================= Important Deadlines: Submission : March 22nd, 2020 Decisions : April 14th, 2020 Camera-ready : April 19th, 2020 Workshop : June 19th, 2020 ================= Program Committee Chairs: - Dr. Khoa Luu (University of Arkansas) - Dr. Kris Kitani (Carnegie Mellon University) - Dr. Minh Hoai Nguyen (Stony Brook University) - Dr. Hien Van Nguyen (University of Houston) - Dr. Nemanja Djuric (Uber ATG) - Dr. Utsav Prabhu (Google) For further questions please contact a member of the organizing committee at precognition.organizers at gmail.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cogito.hse at yandex.com Wed Mar 4 04:02:56 2020 From: cogito.hse at yandex.com (Cogito HSE) Date: Wed, 04 Mar 2020 12:02:56 +0300 Subject: Connectionists: Cognitive Science Master program in Moscow Russia Message-ID: <19641101583312576@sas2-e76feb6221c0.qloud-c.yandex.net> An HTML attachment was scrubbed... URL: From terry at salk.edu Wed Mar 4 10:37:31 2020 From: terry at salk.edu (Terry Sejnowski) Date: Wed, 04 Mar 2020 07:37:31 -0800 Subject: Connectionists: The unreasonable effectiveness of deep learning in artificial intelligence In-Reply-To: Message-ID: The unreasonable effectiveness of deep learning in artificial intelligence https://www.pnas.org/content/early/2020/01/23/1907373117 Terry ----- From felfranke at googlemail.com Wed Mar 4 12:03:53 2020 From: felfranke at googlemail.com (Felix Franke) Date: Wed, 4 Mar 2020 18:03:53 +0100 Subject: Connectionists: 2 PhD and 1 PostDoc Position at Institute of Molecular and Clinical Ophthalmology Basel (IOB) Message-ID: The Institute of Molecular and Clinical Ophthalmology Basel (IOB), an associated institute of the University of Basel, is seeking a two PhD Students and one PostDoc to join the Franke Group, as of 1st of June 2020 at the earliest. IOB is a research institute combining basic and clinical research. Its mission is to drive innovations in understanding vision and its diseases and develop new therapies for vision loss. While we have a general understanding of the neural circuitry within the retina, many of the details remain unknown. Furthermore, we lack understanding of the path from vision to behaviour as soon as the signals leave the eye via the optic nerve. We want to bridge this gap by understanding the principles of neural processing from the retina to subcortical areas. We will study neural computations in the context of reflexive visual behaviour and retinal diseases. The successful candidates will work in a highly interdisciplinary team addressing these questions and will use extracellular neural recordings, Calcium imaging, and functional ultrasound imaging, and will build models of neural circuits. IOB offers a highly competitive interdisciplinary research environment with access to state-of-the-art recording technology and genetic tools. Via a collaboration with ETH Z?rich, we will have the opportunity to be first users of newly developed in vivo extracellular recording technology with large electrode numbers. Requirements - MSc degree or equivalent - Background in Physics, Signal Processing, Machine Learning, Computational Neuroscience, or related fields OR Experimental Neuroscience - Strong mathematical and programming skills (e.g., Matlab, Python, C++) - Enthusiasm to work with real neural recordings and to collaborate on establishing experimental setups - Hands-on experience, preferably with in-vivo electrophysiology, is a plus - Fluency in English (oral and written) is a requirement, fluency in German is an advantage - Willingness to work in a highly interactive and interdisciplinary team of Postdocs and PhD students - Academic excellence, a professional work attitude, a proactive and self-driven nature are expected We offer - Highly competitive conditions in a dynamic and international research community in Basel - IOB is an equal-opportunity employer with family-friendly work policies - Initial appointment duration for 3 days with a possibility of extension Application / Contact We look forward to receiving your application as a single PDF file including a CV, a short motivation statement (half a page), transcripts of records, publications, and 2 letters of recommendation to jobs at iob.ch. Please indicate the position you are applying for by writing the reference number (IOB046) on the subject line. For further information on this position, please contact Felix Franke at felix.franke at iob.ch (no application documents). For general information, please visit our website www.iob.ch or contact Lavinia Brunold (lavinia.brunold at iob.ch / +41 61 265 92 14). -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.gleeson at ucl.ac.uk Wed Mar 4 11:42:02 2020 From: p.gleeson at ucl.ac.uk (Gleeson, Padraig) Date: Wed, 4 Mar 2020 16:42:02 +0000 Subject: Connectionists: Google Summer of Code: open source models of cortical networks Message-ID: <8ec33652-24a7-6a70-b977-7614993b5053@ucl.ac.uk> --Apologies for cross-posting-- Google Summer of Code is an initiative to encourage students to contribute to open source software projects. Generous stipends are provided for successful applicants to work on these projects for a number of months over the summer. The INCF has been a GSoC mentoring organisation for the past number of years, and has helped link up students with mentors to advance various projects in the wider neuroinformatics and computational neuroscience areas. The Open Source Brain initiative is encouraging students to apply to be part of this. The successful candidate for our our proposal will take published models of cells and networks from the cortex and convert them into open, standardised formats (e.g. NeuroML and PyNN) and share them on the OSB platform as a resource for the wider community. These can be models where code is available in simulator specific formats on ModelDB, or classic models from the literature which would benefit from curating/updating/documenting. Making models available in these formats will allow them to be used & tested across multiple simulators, make the physiological properties of the models more accessible and facilitate reuse of model components. This opportunity is particularly relevant for Masters & PhD students currently working in model development/analysis in computational neuroscience. Many students are already reusing/converting/updating existing models as part of their work and this is a great opportunity to get paid extra to do this! Closing date for student applications: 31st March 2020 Period of working on projects: 18 May - 17 August 2020 More information on the cortical modelling project can be found here. There is another OSB project related to sharing data in Neurodata Without Borders format here. Multiple other project ideas from other neuroinformatics and computational neuroscience initiatives (including The Virtual Brain, Brian, LORIS, GeNN, SciUnit, PyNN, OpenWorm) can be found on the INCF project ideas page. ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson at ucl.ac.uk ----------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentina.ivanova at ri.se Wed Mar 4 10:29:19 2020 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Wed, 4 Mar 2020 15:29:19 +0000 Subject: Connectionists: [CfP] ESWC 2020 - **One week left** to submit to the Industry and Posters & Demos Tracks Message-ID: * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * The 17th European Semantic Web Conference (ESWC 2020) May 31st - June 4th, 2020, Heraklion, Crete, Greece. ESWC is a premier venue for discussing the latest scientific results and innovations in the field of semantic technologies on the Web and Linked Data, attracting a high number of participants from academia and industry alike. Follow us: Web Page: https://2020.eswc-conferences.org/ Twitter: @eswc_conf Facebook: https://www.facebook.com/ESWCCONF LinkedIn: https://www.linkedin.com/groups/8843932/ Become part of ESWC 2020 by submitting to the following tracks & activities! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * In this announcement: ******************************************* 1. Call for Papers - Posters & Demos https://2020.eswc-conferences.org/call-for-posters-and-demos/ * Submission deadline: March 12, 2020 (**one week left**) 2. Call for Papers - Industry Track https://2020.eswc-conferences.org/call-for-papers-industry-track/ * Submission deadline: March 12, 2020 (**one week left**) (All deadlines are 23:59 anywhere on earth (UTC-12)) * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 1. Call for Papers - Posters & Demos ******************************************* The posters and demos track of ESWC, https://2020.eswc-conferences.org/, provides a forum for late-breaking results, on-going research projects, and innovative ideas, as well as prototypes of semantic technologies and their applications in various domains. Submissions to the posters and demos track may cover all areas of Semantic Web research and applications, such as Linked Data and Knowledge Graphs, Ontologies, Reasoning, Natural Language Processing and Understanding, Machine and Deep Learning, Information Retrieval, Data Quality and Data Integration, and Semantic Data Management, as well as applications from Life Sciences, eGovernment, Business, Manufacturing, eScience, Emergency and Crisis Management, Cultural Heritage, Tourism, Autonomous Systems, etc. Posters and demos will be presented in a separate, interactive session, providing the opportunity for engaging in discussions and direct exchange. Further info: https://2020.eswc-conferences.org/call-for-posters-and-demos/ == Important Dates == Submission Deadline: March 12th, 2020 (**one week left**) Notification of Acceptance: April 9th, 2020 Camera-Ready Paper: April 30th, 2020 == Posters & Demos Chairs == Valentina Presutti, University of Bologna valentina.presutti at unibo.it Rapha?l Troncy, EURECOM raphael.troncy at eurecom.fr 2. Call for Papers - Industry Track ******************************************* The industry track seeks to present the state of adoption of semantic technologies in industrial applications, and intends to facilitate a discussion about what current industry challenges can be addressed with semantic technologies. These technologies may be used in specific industries (e.g., media, financials, telecommunications, healthcare, life sciences, government, intelligence, public sector, industrial production etc.) and in different application areas (e.g., business intelligence, smart cities, digital twin, analytics, search, content management, knowledge management, recommendation systems, data integration, automotive etc.). The industry track aims to facilitate the exchange between Semantic Web researchers and industrial solution developers to bridge between state-of-the-art research and its application in industrial scenarios. We welcome contributions about: * Success stories of adoption of semantic technologies and knowledge graphs in real-world environments, especially by emphasizing how these technologies have succeeded in creating value as well as key factors for the success of the adoption in a large-scale organization. * Experiences about challenges that are encountered in an industry setting when adopting a solution based on semantic technologies. * Contributions about current challenges in industrial fields which should be tackled by semantic technologies, emphasizing solution approaches and existing issues that are currently only insufficiently addressed by Semantic Web research. Topics of interest include, but are not limited to, the following: * Development and application of semantic technologies and knowledge graphs for specific industries (automotive, financial, healthcare and life sciences, energy industry, industry 4.0, public sector etc.) * Real-world applications of semantic technologies for enabling FAIR (meta) data * Approaches to bridge between domain experts and semantic technology experts * Successful application domains: Knowledge management, data integration, data sharing, search, Business Intelligence, data analytics, open data, enterprise data management etc. * Industrial trends related to the usage of Linked Data, Open Data and Semantic Web technologies * Financial and strategic investments in semantic technologies * Machine Learning approaches in connection with the Semantic Web (e.g. ML for knowledge graph completion or ontology matching, learning of knowledge graph and entity embeddings, question answering, etc) Further info: https://2020.eswc-conferences.org/call-for-papers-industry-track/ == Important Dates == Paper submission: March 12, 2020 (**one week left**) Notification to authors: April 9, 2020 Camera ready papers due: April 30, 2020 == Industry Track Chairs == Javier D. Fern?ndez, F. Hoffmann-La Roche AG jfernand at wu.ac.at Josiane Xavier Parreira, Siemens AG Austria josiane.parreira at siemens.com Looking forward to your submissions! The ESWC 2020 Organising Team https://2020.eswc-conferences.org/organising-committee/ From mingbo.cai at gmail.com Thu Mar 5 00:20:33 2020 From: mingbo.cai at gmail.com (Mingbo Cai) Date: Thu, 5 Mar 2020 14:20:33 +0900 Subject: Connectionists: Faculty and senior postdoc positions at University of Tokyo Message-ID: How does human intelligence arise? Can we create artificial intelligence to extend or complement human intelligence? The International Research Center for Neurointelligence (IRCN) at The University of Tokyo was recently launched to solve these challenges under the World Premier International (WPI) Research Initiative of Japan. International Research Center for Neurointelligence, The University of Tokyo, Japan, has now open positions for highly motivated Senior Postdoctoral Research Fellows and Open-Rank Faculty (Assistant, Associate, and Full Professor). You will have access to our world-class technologies and facilities, extensive global collaboration networks, and vibrant international environment. In addition to independent research, successful candidates will endeavor to bridge disciplines as key computation members in our highly collaborative Team Science ecosystem. Current research themes include attention, prediction, intrinsic activity, social intelligence, autism, psychosis risk, multi-scale imaging, and critical period mechanisms. Senior postdoctoral fellows will have scientific independence and a career path to positions in industry and academia. We strongly encourage applications from international and female candidates to further enhance our diverse environment. The official language of IRCN is English and bilingual support is provided for life in cosmopolitan Tokyo. https://ircn.jp/en/careers/20200225-projectprofessor Mingbo Cai International Research Center for Neurointelligence University of Tokyo -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Wed Mar 4 15:53:55 2020 From: gangluo at cs.wisc.edu (GANG LUO) Date: Wed, 4 Mar 2020 20:53:55 +0000 Subject: Connectionists: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2020) In-Reply-To: References: Message-ID: -- Call for Papers -- The Sixth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2020) In Conjunction with VLDB 2020 Tokyo, Japan September 04, 2020 https://sites.google.com/site/vldbdmah2020/ Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic- data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field. This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. Topics of interest include, but not limited to: Big data management for medical data; Blockchain for healthcare; Biomedical data integration; Biomedical knowledge management and decision support; Semantics and interoperability for healthcare data; Clinical natural language processing and text mining; Predictive modeling for diagnosis and treatment; Visual analytics for medical data; Medical image analytics; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health (public health 2.0); Data analytics for pervasive computing for medical care. DMAH 2020 accept two types of papers: 1) Regular research papers reporting original research results or significant case studies (18 pages). 2) Extended abstracts presenting novel research directions or challenging problems (4 pages). Important Dates: Abstract (optional): May 29, 2020 Individual Workshop Papers: June 5, 2020 Notification of Acceptance: July 3, 2020 Camera Ready: July 10, 2020 Workshop date: September 04, 2020 All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer LNCS. Workshop Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Alevtina Dubovitskaya, Lucerne University of Applied Sciences and Arts and Swisscom, Switzerland Jun Kong, Georgia State University, USA Program Committee Edmon Begoli, Oak Ridge National Laboratory, USA Yang Cao, Kyoto University, Japan Blair Christian, Oak Ridge National Laboratory, USA Dejing Dou, University of Oregon, USA Alevtina Dubovitskaya, Lucerne University of Applied Sciences and Arts and Swisscom, Switzerland Peter Elkin, University at Buffalo, USA Zhe He, Florida State University, USA Vagelis Hristidis, University of California-Riverside, USA Athirai Irissappane, University of Washington, USA Guoqian Jiang, Mayo Clinic College of Medicine, USA Jun Kong, Georgia State University, USA Tahsin Kurc, Stony Brook University, USA Yanhui Liang, Google Inc., USA Gang Luo, University of Washington, USA Ye Ye, University of Pittsburgh, USA Rui Zhang, University of Minnesota, USA From mherrman at inf.ed.ac.uk Wed Mar 4 19:31:54 2020 From: mherrman at inf.ed.ac.uk (Michael Herrmann) Date: Thu, 5 Mar 2020 00:31:54 +0000 Subject: Connectionists: Call for Abstracts: 10th International Conference on Guided Self-Organisation in Edinburgh (GSO-2020) In-Reply-To: References: <1b7eff97-ffe5-1891-88e3-9f1bbdc765e4@tuebingen.mpg.de> Message-ID: Dear colleagues, This is the last Call for Abstracts for the 10th International Conference on Guided Self-Organisation (GSO-2020) --- Challenges in Theory and Opportunities in Robotics --- which is to be held at University of Edinburgh, UK, June 8-10, 2020. http://blogs.ed.ac.uk/gso2020/ The conference is the 10th in a series that bring together researchers from diverse backgrounds who share an interest in understanding, designing and applying self-organising systems. Of particular interest are well-founded and general methods for characterizing and creating systems that can be guided towards pre-specified goals by exploiting their intrinsic dynamics through gentle control actions. Likewise of interest are applications of the power of self-organisation in robotics, machine learning, biological modelling and related areas. Submissions to the workshop are extended abstracts (1 ? 2 pages). If you are interested in participating, please submit an extended abstract extended deadline: 7/3/20 [was 22 February 2020] via http://easychair.org/conferences/?conf=gso2020 The notifications about acceptance will be send out by 20th of March 2020. Authors of accepted submissions will present their contributions at the conference. Full papers of selected contributions will be published in a special journal issue in Complex Systems and/or Frontiers in Neurorobotics. For more information, please consult the above website or send an e-mail to: gso-2020 at ed.ac.uk Best wishes, Simon Smith, Calum Imrie, and J. Michael Herrmann (GSO-2020 Local organisers) Nihat Ay, Carlos Gershenson, Georg Martius, Daniel Polani, Mikhail Prokopenko, Justin Werfel, Larry Yaeger (The International Association for GSO, Steering committee) http://www.guided-self.org/ -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From juergen at idsia.ch Wed Mar 4 17:41:28 2020 From: juergen at idsia.ch (Juergen Schmidhuber) Date: Wed, 4 Mar 2020 23:41:28 +0100 Subject: Connectionists: The unreasonable effectiveness of deep learning in artificial intelligence In-Reply-To: References: Message-ID: Sorry, Terry, but your article rehashes a misleading narrative from the 1980s which has been debunked. 1. You write: "Deep learning was inspired by the massively parallel architecture found in brains and its origins can be traced to Frank Rosenblatt?s perceptron (5) in the 1950s.? However, those perceptrons or "shallow neural nets" (1958) without hidden layers were essentially like the linear regressors introduced by Legendre & Gauss around 1800 (e.g., method of least squares) [DL1]. In fact, one of the first famous examples of pattern recognition through "shallow learning" dates back over 200 years: the re-discovery of the asteroid Ceres around 1800 through Gauss, who had data points from previous observations, then used various tricks to adjust the parameters of a predictor, which essentially learned to generalise from the training data to correctly predict the new location of Ceres. (In the early 1960s, Joseph [J61] and Rosenblatt [R62] also had a few cool ideas about deeper adaptive NNs but did not get very far.) 2. You write: "The great expectations in the press (Fig. 3) were dashed by Minsky and Papert (7), who showed in their book Perceptrons that a perceptron can only represent categories that are linearly separable in weight space. Although at the end of their book Minsky and Papert considered the prospect of generalizing single- to multiple-layer perceptrons, one layer feeding into the next, they doubted there would ever be a way to train these more powerful multilayer perceptrons. Unfortunately, many took this doubt to be definitive, and the field was abandoned until a new generation of neural network researchers took a fresh look at the problem in the 1980s.? However, Minsky & Papert's 1969 book about the limitations of shallow nets addressed a ?problem" that had already been solved for 4 years! Maybe Minsky did not even know. He should have known though. Successful learning in deep architectures started in 1965 through Ivakhnenko & Lapa (in the Ukraine, back then the USSR). They published the first general, working learning algorithms for deep multilayer perceptrons with arbitrarily many layers (also with multiplicative gates) [DEEP1] [DL1]. A paper of 1971 [DEEP2] already described a deep learning net with 8 layers, trained by their highly cited method still popular in the new millennium, especially in Eastern Europe, where much of Machine Learning was born. BTW, 5 years after Ivakhnenko & Lapa, modern backpropagation (the reverse mode of automatic differentiation) was published "next door" in Finland (1970) [BP1] [DL1]. 3. You write: "During the ensuing neural network revival in the 1980s, Geoffrey Hinton and I introduced a learning algorithm for Boltzmann machines proving that contrary to general belief it was possible to train multilayer networks (8).? However, Ivakhnenko & Lapa had functional deep learning multilayer perceptrons back in 1965. And many have used their method throughout the decades. See item 2. [DEEP1] Ivakhnenko, A. G. and Lapa, V. G. (1965). Cybernetic Predicting Devices. CCM Information Corporation. [DEEP2] Ivakhnenko, A. G. (1971). Polynomial theory of complex systems. IEEE Transactions on Systems, Man and Cybernetics, (4):364-378. [R58] Rosenblatt, F. (1958). The perceptron: a probabilistic model for information storage and organization in the brain. Psychological review, 65(6):386. [J61] Joseph, R. D. (1961). Contributions to perceptron theory. PhD thesis, Cornell Univ. [R62] Rosenblatt, F. (1962). Principles of Neurodynamics. Spartan, New York. [BP1] S. Linnainmaa. The representation of the cumulative rounding error of an algorithm as a Taylor expansion of the local rounding errors. Master's Thesis (in Finnish), Univ. Helsinki, 1970. See chapters 6-7 and FORTRAN code on pages 58-60. PDF. See also BIT 16, 146-160, 1976. [DL1] J. Schmidhuber, 2015. Deep Learning in neural networks: An overview. Neural Networks, 61, 85-117. Cheers, J?rgen http://people.idsia.ch/~juergen/2010s-our-decade-of-deep-learning.html > On 04 Mar 2020, at 16:37, Terry Sejnowski wrote: > > The unreasonable effectiveness of deep learning in artificial intelligence > > https://www.pnas.org/content/early/2020/01/23/1907373117 > > Terry > > ----- From emmanuel.vincent at inria.fr Thu Mar 5 06:05:15 2020 From: emmanuel.vincent at inria.fr (Emmanuel Vincent) Date: Thu, 5 Mar 2020 12:05:15 +0100 Subject: Connectionists: CFP -- Special Issue on Advances in Deep Learning Based Speech Processing Message-ID: NEURAL NETWORKS https://www.journals.elsevier.com/neural-networks Special issue on *Advances in Deep Learning Based Speech Processing * *Deadline: June 30, 2020* Deep learning has triggered a revolution in speech processing. The revolution started from the successful application of deep neural networks to automatic speech recognition, and quickly spread to other topics of speech processing, including speech analysis, speech denoising and separation, speaker and language recognition, speech synthesis, and spoken language understanding. This tremendous success has been achieved thanks to the advances in neural network technologies as well as the explosion of speech data and fast development of computing power. Despite this success, deep learning based speech processing still faces many challenges for real-world wide deployment. For example, when the distance between a speaker and a microphone array is larger than 10 meters, the word error rate of a speech recognizer may be as high as over 50%; end-to-end deep learning based speech processing systems have shown potential advantages over hybrid systems, however, they require large-scale labelled speech data; deep learning based speech synthesis has been highly competitive with human-sounding speech and much better than traditional methods, however, the models are not stable, lack controllability and are still too large and slow to be deployed onto mobile and IoT devices. Therefore, new methods and algorithms in deep learning and speech processing are needed to tackle the above challenges, as well as to yield novel insights into new directions and applications. This special issue aims to accelerate research progress by providing a forum for researchers and practitioners to present their latest contributions that advance theoretical and practical aspects of deep learning based speech processing techniques. The special issue will feature theoretical articles with novel new insights, creative solutions to key research challenges, and state-of-the-art speech processing algorithms/systems that demonstrate competitive performance with potential industrial impacts. The ideas addressing emerging problems and directions are also welcome. *Topics of interest* for this special issue include, but are not limited to: ? ? Speaker separation ? ? Speech denoising ? ? Speech recognition ? ? Speaker and language recognition ? ? Speech synthesis ? ? Audio and speech analysis ??? Multimodal speech processing *Submission instructions: * Prospective authors should follow the standard author instructions for Neural Networks, and submit manuscripts online at https://www.editorialmanager.com/neunet/default.aspx. Authors should select ?VSI: Speech Based on DL" when they reach the "Article Type" step and the "Request Editor" step in the submission process. *Important dates: * June 30, 2020 - Submission deadline September 30, 2020 - First decision notification November 30, 2020 - Revised version deadline December 31, 2020 - Final decision notification March, 2021 - Publication *Guest Editors: * Xiao-Lei Zhang, Northwestern Polytechnical University, China Lei Xie, Northwestern Polytechnical University, China Eric Fosler-Lussier, Ohio State University, USA Emmanuel Vincent, Inria, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From acmicmi.publicity at gmail.com Thu Mar 5 06:35:45 2020 From: acmicmi.publicity at gmail.com (acmicmi publicity) Date: Thu, 5 Mar 2020 12:35:45 +0100 Subject: Connectionists: ICMI 2020: 3rd Call for Long and Short Papers Message-ID: Call for Long and Short Papers *************************************** ICMI 2020: 3rd Call for Long and Short Papers http://icmi.acm.org/2020/index.php?id=cfp 25-29 Oct 2020, Utrecht, The Netherlands *************************************** Call for Long and Short Papers The 22nd International Conference on Multimodal Interaction (ICMI 2020) will be held in Utrecht, the Netherlands. ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction analysis, interface design, and system development. We are keen to showcase novel input and output modalities and interactions to the ICMI community. ICMI 2020 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), demonstrations, exhibits and doctoral spotlight papers. The conference will also feature workshops and grand challenges. The proceedings of ICMI 2020 will be published by ACM as part of their series of International Conference Proceedings and Digital Library. We also want to welcome conference papers from behavioral and social sciences. These papers allow us to understand how technology can be used to increase our scientific knowledge and may focus less on presenting technical or algorithmic novelty. For this reason, the "novelty" criteria used during ICMI 2020 review will be based on two sub-criteria (i.e., scientific novelty and technical novelty as described below). Accepted papers at ICMI 2020 only need to be novel on one of these sub-criteria. In other words, a paper which is strong on scientific knowledge contribution but low on algorithmic novelty should be ranked similarly to a paper that is high on algorithmic novelty but low on knowledge discovery. - Scientific Novelty: Papers should bring some new knowledge to the scientific community. For example, discovering new behavioral markers that are predictive of mental health or how new behavioral patterns relate to children?s interactions during learning. It is the responsibility of the authors to perform a proper literature review and clearly discuss the novelty in the scientific discoveries made in their paper. - Technical Novelty: Papers reviewed with this sub-criterion should include novelty in their computational approach for recognizing, generating or modeling data. Examples include: novelty in the learning and prediction algorithms, in the neural architecture, or in the data representation. Novelty can also be associated to a new usage of an existing approach. Please see the Submission Guidelines for Authors https://icmi.acm.org/2020/index.php?id=authors for detailed submission instructions. This year?s conference theme: In this information age, technological innovation is at the core of our lives and rapidly transforming and impacting the state of the world in art, culture, and society, and science as well - the borders between classical disciplines such as humanities and computer science are fading. In particular, we wonder how multimodal processing of human behavioural data can create meaningful impact in art, culture, and society practices. And vice versa, how does art, culture, and society influence our approaches and techniques in multimodal processing? As such, this year, ICMI welcomes contributions on our theme for Multimodal processing and representation of Human Behaviour in Art, Culture, and Society. Additional topics of interest include but are not limited to: - Affective computing and interaction - Cognitive modeling and multimodal interaction - Gesture, touch and haptics - Healthcare, assistive technologies - Human communication dynamics - Human-robot/agent multimodal interaction - Interaction with smart environment - Machine learning for multimodal interaction - Mobile multimodal systems - Multimodal behavior generation - Multimodal datasets and validation - Multimodal dialogue modeling - Multimodal fusion and representation - Multimodal interactive applications - Speech behaviors in social interaction - System components and multimodal platforms - Visual behaviours in social interaction - Virtual/augmented reality and multimodal interaction Important Dates Paper Submission: *May 4, 2020 (11:59pm GMT-7)* Reviews to authors: July 3, 2020 Rebuttal due: July 10, 2020 (11:59pm GMT-7) Paper notification: July 20, 2020 Camera ready paper: August 17, 2020 Presenting at main conference: October 25-29, 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From wittawatj at gmail.com Thu Mar 5 07:16:42 2020 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Thu, 5 Mar 2020 13:16:42 +0100 Subject: Connectionists: Southeast Asia Machine Learning School 2020 in Vietnam Message-ID: Dear all, The second edition of the Southeast Asia Machine Learning School (SeaMLS 2020) will be held at Da Nang City People?s Committee in Da Nang, Vietnam between July 20th - July 25th, 2020. The SeaMLS provides a unique opportunity for the underrepresented Southeast Asian machine learning community to learn from the top experts in the field, engage with like-minded students, academics, researchers, industry practitioners, and thought leaders in the field, and understand the current and future challenges in machine learning research, theory, and applications. == SCOPE == As the Southeast Asian community has been largely underrepresented in the machine learning field, the SeaMLS aims to kickstart an effort to inspire, encourage, and educate more machine learning engineers, researchers, and data scientists within the Southeast Asian region and beyond in the coming years. In particular, we work towards a critical vision of more Southeast Asians as pioneers, contributors, and shapers within the machine learning community. == INVITED SPEAKERS == 1. Aishwarya Agrawal (DeepMind) 2. Hung Bui (VinAI Research) 3. Wray Buntine (Monash University) 4. Yun-Nung Vivian Chen (National Taiwan University) 5. Kyunghyun Cho (NYU & Facebook AI Research) 6. Jeff Dean (Google AI) 7. Domenic Donato (DeepMind) 8. Sara Hooker (Google Brain) 9. Wee Sun Lee (National University of Singapore) 10. Huyen Nguyen (Machine learning startup) 11. Seong Joon Oh (NAVER) 12. Maneesh Sahani (Gatsby Unit, University College London) We are currently inviting more speakers, which will be updated on the website . == APPLICATION == We are currently inviting applications for the SeaMLS. The application process can be accessed here ; please consult our FAQ for more details. The application process will close on April 3rd, 2020. Everyone is welcome to apply regardless of nationality or place of residence. No deep knowledge or prior experience in machine learning is required, although participants are expected to have some basic background on probabilities and programming. == TRAVEL GRANTS == We will have a limited number of financial assistance available for student participants traveling from within the Southeast Asian region. Depending on the financial needs, the travel grant can include travel cost reimbursements (including airplane tickets, up to a certain amount) and accommodation near the event venue, although we may not be able to cover the costs in full. == STRUCTURE == The SeaMLS will cover a one-week program that includes technical lecture sessions on basic and intermediate topics in machine learning and its applications, along with panel sessions. In addition, the event features a hands-on practical session to learn how to implement deep learning models in a modern software stack, social sessions, and poster presentation sessions. == REGISTRATION FEES == Student participants - free-of-charge Industry - US$ 300 Academia - US$ 200 The registration fee covers access to all lectures, panels, practical sessions, and social events, along with lunch and two coffee breaks per day. == VENUE == The event will be held at Da Nang City People's Committee in Da Nang, Vietnam. The venue is about 15 minutes by car from Da Nang International Airport. == ORGANIZERS AND CONTACT == 1. Dani Yogatama (DeepMind) 2. Adhi Kuncoro (University of Oxford & DeepMind) 3. Wittawat Jitkrittum (Max Planck Institute for Intelligent Systems) 4. Thang Luong (Google Brain) 5. Febria Roosita (Google Indonesia) 6. Ng?n V? (NV) (DeepMind) Please direct any queries to seamls-team at googlegroups.com. Thank you for your kind attention and please do not hesitate to contact us for any questions. Kind regards, The SeaMLS Organizing Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Thu Mar 5 10:09:47 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Thu, 5 Mar 2020 16:09:47 +0100 Subject: Connectionists: Reminder: [CfP] ECML-PKDD 2020 Combined Call for Research and Applied Data Science Tracks Message-ID: An HTML attachment was scrubbed... URL: From m.denker at fz-juelich.de Thu Mar 5 10:41:59 2020 From: m.denker at fz-juelich.de (Michael Denker) Date: Thu, 5 Mar 2020 16:41:59 +0100 Subject: Connectionists: Coordinator position for the Helmhotz Metadata Collaboration (HMC) Message-ID: <10c9e307-4994-2cac-8f83-c3c54539a3e8@fz-juelich.de> Forschungszentrum J?lich is looking for a Scientific Coordinator who will participate in setting up and coordinate the Hub Information of the Helmhotz Metadata Collaboration (HMC) at Forschungszentrum J?lich. The aim of the HMC Platform, which is currently being set up, is to develop and establish novel concepts and services to ensure that research data is enriched with metadata making it accessible and reusable for future applications. At Forschungszentrum J?lich, a Metadata Hub will be established as part of HMC, which is anchored in the Helmholtz Association`s research field of Information. More details regarding the position and the application procedure can be found here: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-060-EN-INM-6.html?nn=363560 Application deadline is March 22 2020. ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ From jbhayet at cimat.mx Thu Mar 5 13:08:16 2020 From: jbhayet at cimat.mx (Jean-Bernard Hayet) Date: Thu, 5 Mar 2020 12:08:16 -0600 Subject: Connectionists: [Jobs] Tenure track position in Computer Science at CIMAT, Guanajuato, Mexico Message-ID: The *Centro de Investigaci?n en Matem?ticas* (Center for Research in Mathematics - CIMAT) invites applications for a tenure track position in its Computer Science Department . CIMAT is a federal research center in Pure and Applied Mathematics, Probability, Statistics, and Computer Science, and depends on the *National Council of Science and Technology of Mexico* (CONACYT). Its main campus is in the city of Guanajuato, a quiet, colorful UNESCO world heritage site in central Mexico. The Computer Science Department has 16 full-time researchers working in: *numerical methods, optimization, signal and image processing, parallel computing, robotics and automatic control, machine learning and data science, natural language processing and multimedia transmission,* All of this in a highly collaborative environment. The department builds upon a solid research infrastructure, an extensive network of collaboration and international visibility. It is embedded in the rich academic life of CIMAT with visitors and specialized academic events all year round. The department?s postgraduate program is one of the leading programs in Computer Science in Mexico. CIMAT is also involved in consultancy, software development and outreach activities. The tenure track position is aimed for researchers working on state of the art topics in Computational Mathematics, with the potential to become leaders in their specialty fields. It can start any time in 2021. This position can also be used for visiting researchers as part of a sabbatical leave. Applicants should send the following information in pdf to coordinacion_cc at cimat.mx 1. Cover letter. 2. Curriculum vitae. 3. A statement describing the planned research. Include a proposed starting date. 4. The names of at least two people who are willing to write a letter of recommendation. Applications from women candidates are highly welcomed. Applications will be accepted and reviewed until the available position is given. The first selection round will start on* June 1st, 2020.* -------------- next part -------------- An HTML attachment was scrubbed... URL: From gershman at fas.harvard.edu Thu Mar 5 17:32:28 2020 From: gershman at fas.harvard.edu (Sam Gershman) Date: Thu, 5 Mar 2020 17:32:28 -0500 Subject: Connectionists: Research assistant position in the Gershman lab at Harvard Message-ID: The Computational Cognitive Neuroscience Lab at Harvard University, led by Professor Sam Gershman, is seeking a full-time Research Assistant to work on a series of projects on longitudinal computational phenotyping. The research assistant will gain experience with all aspects of the research process, which could serve as a launch pad to graduate studies. More details here: https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25240&siteid=5341#jobDetails=1511874_5341 Please note that due to regulations only U.S. citizens or permanent residents can be hired for this position. -------------- next part -------------- An HTML attachment was scrubbed... URL: From wahba at stat.wisc.edu Fri Mar 6 14:56:51 2020 From: wahba at stat.wisc.edu (Grace Wahba) Date: Fri, 6 Mar 2020 19:56:51 +0000 Subject: Connectionists: Statistical Machine Learning Notes Posted Message-ID: Lecture notes from Statistics 860 Estimating Functions From Data (a. k. a. "Statistical Machine Learning") as last taught in 2016, is available at www.stat.wisc.edu/~wahba/stat860public It begins with a gentle introduction to Reproducing Kernel Hilbert Spaces Regards all Grace Wahba IJ-Schoenberg-Hilldale Professor of Statistics Emerita University of Wisconsin-Madison From Albrecht_Zimmermann at gmx.net Fri Mar 6 17:01:01 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Fri, 6 Mar 2020 23:01:01 +0100 Subject: Connectionists: [cfp] Call for presentations of PhD research at IDA 2020 Message-ID: An HTML attachment was scrubbed... URL: From bls at ieee.org Fri Mar 6 08:55:49 2020 From: bls at ieee.org (Bertrand Le Saux) Date: Fri, 6 Mar 2020 14:55:49 +0100 Subject: Connectionists: Post-doctoral research opportunity @ ESA: AI for Earth Observation data Message-ID: Exciting post-doctoral research opportunity @ ESA to do research on harnessing AI for Earth Observation data Unique opportunity for ESA Research Fellow (Post-Doc) on the development of innovative Earth Observation (EO) solutions harnessing the power of Artificial Intelligence (AI) to advance understanding of our planet ( http://www.esa.int/eo). You will be based in ESA/ESRIN (Frascati, Italy) and be part of a dynamic, multi-disciplinary research team at the phi-lab. You will be able to develop your own AI research and associated innovative EO applications, alongside a growing team of data scientists and researchers passionate about innovation. Apply before March, 11 2020 at https://bit.ly/31Y5SQ9 (Ref ID 8827) -------------- next part -------------- An HTML attachment was scrubbed... URL: From rrhh at cttc.es Fri Mar 6 09:16:44 2020 From: rrhh at cttc.es (RRHH) Date: Fri, 6 Mar 2020 15:16:44 +0100 Subject: Connectionists: =?utf-8?q?Position=3A_CTTC_-_Researcher_position_?= =?utf-8?q?in_Communication_Networks_Division_=E2=80=93_Mobile_Networks_De?= =?utf-8?q?partment?= In-Reply-To: References: Message-ID: Dear @ll, This is to inform you the offer of a Researcher position in Communication Networks Division ? Mobile Networks Department. http://www.cttc.es/career/call-5-2020-1/ Thanks for forwarding this information to any potentially interested candidates. Centre Tecnol?gic de Telecomunicacions de Catalunya (CTTC) ?rea de Comunicaci? Av. Carl Friedrich Gauss, 7 - Building B4 08860 - Castelldefels Barcelona (Spain) Tel.: +34 93 645 29 00 Fax.: +34 93 645 29 29 Web: www.cttc.cat comunicacio at cttc.cat _DATA PROTECTION INFORMATION. Data controller: CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (G62616586):_ We inform you that your identification data and the data contained in the emails and attached files can be incorporated into our databases, in order to maintain professional and / or commercial relationships, and that it will be preserved throughout the relationship. According to the current regulations, you can exercise your right to access, rectification, erasure, restriction of processing, to portability and to object by sending an email to dpo at cttc.cat. This message and any attached document, where appropriate, may be confidential and intended for the original recipient only. Before printing this e-mail or attachments, be sure it is necessary. It is in our hands to protect the environment. _DATA PROTECTION INFORMATION. Data controller: CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA (G62616586):_ We inform you that your identification data and the data contained in the emails and attached files can be incorporated into our databases, in order to maintain professional and / or commercial relationships, and that it will be preserved throughout the relationship. According to the current regulations, you can exercise your right to access, rectification, erasure, restriction of processing, to portability and to object by sending an email to dpo at cttc.cat. This message and any attached document, where appropriate, may be confidential and intended for the original recipient only. Before printing this e-mail or attachments, be sure it is necessary. It is in our hands to protect the environment. -------------- next part -------------- An HTML attachment was scrubbed... URL: From arminmustafa at gmail.com Fri Mar 6 07:38:59 2020 From: arminmustafa at gmail.com (armin mustafa) Date: Fri, 6 Mar 2020 12:38:59 +0000 Subject: Connectionists: DynaVis CVPR 2020 Workshop - Call for Papers In-Reply-To: References: Message-ID: Please circulate this call for papers ****************************************** DynaVis: The Second International Workshop on Dynamic Scene Reconstruction https://dynavis.github.io/ Workshop at CVPR 2020, Seattle, Washington Organizers: Armin Mustafa, Marco Volino, Michael Zollh?fer, Dan Casas, Christian Richardt, Adrian Hilton Keynote Speakers - Prof. Yaser Sheikh Director, Oculus Research Pittsburgh, and Carnegie Mellon University - Prof. Raquel Urtasun (tbc) Uber ATG Chief Scientist and the Head of Uber ATG Toronto, University of Toronto Call for contributions Reconstruction of general dynamic scenes is motivated by potential applications in film and broadcast production together with the ultimate goal of automatic understanding of real-world scenes from distributed camera networks. With recent advances in sensor hardware and the advent of learning-based approaches as well as virtual and augmented reality, dynamic scene reconstruction is being applied to ever more complex scenes with applications in healthcare, security, education, and entertainment, including games, film and VR/AR. We welcome contributions to this workshop in the form of oral presentations, posters, and demos. Suggested topics include, but are not limited to: - Dynamic 3D reconstruction from single, stereo or multiple views - Learning-based methods in dynamic scene reconstruction and understanding - Multi-modal dynamic scene modelling (RGBD, LIDAR, 360 videos, light fields) - 4D reconstruction and modelling - 3D/4D data acquisition, representation, compression, and transmission - Scene analysis and understanding in 2D and 3D - Structure from motion, camera calibration, and pose estimation - Digital humans: motion and performance capture, bodies, faces, hands - Geometry processing - Computational photography - Appearance reconstruction and modeling: materials, reflectance, illumination - Scene modelling in the wild, moving cameras, handheld cameras - Applications of dynamic scene reconstruction (VR/AR, character animation, free-viewpoint video, relighting, medical imaging, creative content production, animal tracking, HCI, sports) We welcome submissions from both industry and academia, including interdisciplinary work and work from outside of the mainstream computer vision community. We also welcome submissions from the CVPR main conference, regardless of their acceptance. Submission website: https://cmt3.research.microsoft.com/DYNAVIS2020 Prizes Best Paper will receive an NVIDIA Geforce RTX 2080 GPU, courtesy of our main sponsor NVIDIA. Important Dates Paper submission deadline: *Monday, 16 March 2020* Notification to authors: Monday, 30 March 2020 Camera-ready deadline: Monday, 13 April 2020 Best Regards, Conference chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Sat Mar 7 16:01:01 2020 From: terry at salk.edu (Terry Sejnowski) Date: Sat, 07 Mar 2020 13:01:01 -0800 Subject: Connectionists: NEURAL COMPUTATION - March 1, 2020 In-Reply-To: Message-ID: Neural Computation - Volume 32, Number 3 - March 1, 2020 Available online for download now: http://www.mitpressjournals.org/toc/neco/32/3 http://cognet.mit.edu/content/neural-computation ----- Article Hidden Aspects of the Research-ADOS Are Bound to Affect Autism Science Elizabeth Barbara Torres, Richa Rai, Sejal Mistry, and Brenda Gupta Letters Model-free Robust Optimal Feedback Mechanisms of Biological Motor Control Tao Bian candidate, Daniel M. Wolpert, and Zhong-Ping Jiang Evaluating the Potential Gain of Auditory and Audiovisual Speech Predictive Coding Using Deep Learning Thomas Hueber, Eric Tatulli, Laurent Girin, and Jean-Luc Schwartz Switching in Cerebellar Stellate Cell Excitability in Response to a Pair of Inhibitory/Excitatory Pre-synaptic Inputs: A Dynamical System Perspective Saeed Farjami, Ryan P.D. Alexander, Derek Bowie, and Anmar Khadra Classification From Triplet Comparison Data Zhenghang Cui, Nontawat Charoenphakdee, Issei Sato, and Masashi Sugiyama ------------ 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 tat at tchumatchenko.de Sat Mar 7 08:32:11 2020 From: tat at tchumatchenko.de (Tatjana Tchumatchenko) Date: Sat, 7 Mar 2020 14:32:11 +0100 Subject: Connectionists: Open Master, PhD and Postdoc positions at the "Theory of Neural Dynamics" at the MPI for Brain Research Message-ID: <24bd2282-4162-e9d1-9c5f-a33e21fc833f@tchumatchenko.de> Dear friends and colleagues, I would appreciate if you could spread the word among your students and postdocs. My group "Theory of Neural Dynamics" at the MPI for Brain Research is looking for Master Students, PhD Students and Postdocs Master Students, PhD Students or Postdocs interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. Though the focus of my research is on the theory side, my lab has close ties to experimentally oriented labs and Master projects could include both theory and experiments. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). When applying please attach CV (with a publication record) and a current copy of academic transcripts. For more information, please contact Dr. Tatjana Tchumatchenko via email tatjana.tchumatchenko at brain.mpg.de https://brain.mpg.de/research/theory-of-neural-dynamics-group.html www.tchumatchenko.de From srodrigues at bcamath.org Sat Mar 7 15:59:01 2020 From: srodrigues at bcamath.org (Serafim Rodrigues) Date: Sat, 7 Mar 2020 21:59:01 +0100 Subject: Connectionists: Bilbao Neuroscience and Computational Biology workshop (BioNCB'20): 27th-29th May 2020 Message-ID: Dear all, We are happy to announce the 1st Bilbao Neuroscience and Computational Biology workshop (BioNCB'20) which will take place in Bilbao (Spain) at the Basque Center for Applied Mathematics (BCAM) from the 27th to the 29th May 2020. This 3-day international workshop aims at presenting recent exciting advances and challenges in Neuroscience and Computational Biology: Mathematical modelling, Data Analysis and Experiments. Confirmed speakers are leading experts, which will stimulate discussions at the interface of the aforementioned subjects. *?**?**?**?**?**?**?**?* *Plenary speakers* *?**?**?**?**?**?**?**?* Karl Friston (University College London, UK) Misha Tsodyks (Institute for Advanced Studies, Princeton, USA) Alain Destexhe (UNIC Lab, CNRS, France) Hugues Berry (Inria Rh?ne Alpes, France) Maria V Sanchez-Vives (IDIBAPS, Barcelona, Spain) *?**?**?**?**?**?**?**?* *Invited speakers* *?**?**?**?**?**?**?**?* Daniele Avitabile (VU Amsterdam, Netherlands) Paolo Bonifazi (Biocruces-Bizkaia Health Research Institute, Barakaldo, Spain) Jesus M Cortes (Biocruces-Bizkaia Health Research Institute, Barakaldo, Spain) Anda Degeratu (Universit?t Stuttgart, Germany) Juan Manuel Encinas (Achucarro - The Basque Center for Neuroscience, Leioa, Spain) H?ctor Garc?a Martin (UC Berkeley, USA) Jordi Garcia-Ojalvo (Universitat Pompeu Fabra, Barcelona, Spain) Toni Guillamon (Universitat Polit?cnica de Catalunya, Barcelona, Spain) Mazahir T Hasan (Achucarro - The Basque Center for Neuroscience, Leioa, Spain) Mauricio Rinc?n Bonilla (BCAM, Bilbao, Spain) Nathalie Rouach (Coll?ge de France, Paris, France) Susanne Schreiber (Humboldt-Universit?t zu Berlin, Germany) Antonio E Teruel (Universitat de les Illes Baleares, Palma de Mallorca, Spain) Yulia Timofeeva (University of Warwick, UK) Pablo Varona (Universidad Aut?noma de Madrid, Spain) *?**?**?**?**?**?**?**?**?**?**?**?**?**?* *Call for poster presentations* *?**?**?**?**?**?**?**?**?**?**?**?**?**?* We are welcoming contributions for poster presentation. We will have two 1-hour poster sessions on the first and second morning of the meeting. This will give opportunities to students, postdocs and junior colleagues to present their work, get good exposure to foster discussions early on in the meeting. *Registration and submission deadline for posters: 31 March 2020* *For more informations about poster submission and registration*, please visit the workshop's webpage: https://wp.bcamath.org/bioncb20/ We are looking forward to your contributions and to seeing you in Bilbao! *The organizing committee,* Serafim Rodrigues (BCAM), Mathieu Desroches (Inria), Elena Akhmatskaia (BCAM), Andrea Guidolin (BCAM) and Jone Uria Albizuri (BCAM). -------------- next part -------------- An HTML attachment was scrubbed... URL: From aude.billard at epfl.ch Sun Mar 8 12:56:03 2020 From: aude.billard at epfl.ch (Aude Billard) Date: Sun, 8 Mar 2020 17:56:03 +0100 Subject: Connectionists: [jobs] Postdoctoral Position on Machine Learning for Robotics In-Reply-To: References: Message-ID: <5E6523A3.8010809@epfl.ch> _Postdoctoral Position, EPFL, Switzerland_ The Learning Algorithms and Systems Laboratory (LASA) at EPFL is seeking a postdoctoral fellow to work on machine learning applied to robot control. This position is framed within the ERC SAHR Project, investigating the development of learning skills for fine manipulation for robots, see the website of the project http://sahr.epfl.ch The applicant will also participate in other research projects on learning for human-robot interaction on-going in the lab. For more information on the lab, see http://lasa.epfl.ch This is a one-year position, renewable on a yearly basis for up to three years. The position will be filled as soon as possible with a targeted starting date in late spring / summer 2020. The applicant should hold a PhD in machine learning or in robotics with a strong background in machine learning. Applicants should send an up to date CV, copies of two most relevant publications and one letter of recommendation to aude.billard at epfl.ch Applications will be considered immediately. =============================== Prof. Aude Billard LASA laboratory, http://lasa.epfl.ch EPFL - Ecole Polytechnique Federale de Lausanne Mail to: Station 9, 1015 Lausanne, Switzerland Email: aude.billard at epfl.ch Tel: +41-21-693-5464 Fax: +41-21-694-7850 -------------- next part -------------- An HTML attachment was scrubbed... URL: From kkuehnbe at uos.de Sun Mar 8 13:24:07 2020 From: kkuehnbe at uos.de (=?UTF-8?Q?Kai-Uwe_K=c3=bchnberger?=) Date: Sun, 8 Mar 2020 18:24:07 +0100 Subject: Connectionists: Research Position available at the IKW, Osnabrueck University Message-ID: <2c9d3b9b-cc2e-6f91-1864-a70047a2a515@uos.de> The Artificial Intelligence Research Group (Prof. Dr. Kai-Uwe K?hnberger) of the Institute of Cognitive Science invites applications for *1 Research Assistant (m/f/d)** (Salary level E 13 TV-L, 100 %)* to be filled as soon as possible for a period of initially 3 years with a potential extension of further 3 years. *Description of Responsibilities:* The position involves participation in the research activities of the Artificial Intelligence Group with an emphasis on the areas of cognitively inspired approaches to knowledge representation, machine learning, computational creativity, e-learning, and cognitive architectures. The position includes teaching Cognitive Science courses at B.Sc. and M.Sc. level (4 hours/week). The position allows for further scientific qualification.** *Required Qualifications:* -- Applicants are expected to have an excellent academic degree (Master/ Diploma or PhD), - experience and interest in several of the domains listed above, - basic knowledge in at least two of the following areas: formal logic and reasoning, development of algorithms, (deep) neural networks, probabilistic approaches to AI, - good programming skills and experience with libraries (e.g. Prolog, Scheme, Python, TensorFlow, Keras) are mandatory, - a good command of the English language is imperative. The position is available on a full-time or part-time basis. Osnabr?ck University is a certified family-friendly university and is committed to helping working/studying parents balance their family and working lives. Osnabr?ck University seeks to guarantee equality of opportunity for women and men and strives to correct any gender imbalance in its schools and departments. If two candidates are equally qualified, preference will be given to the candidate with disability status. Applications with the usual documentation should be submitted by e-mail in a *single *PDF-file to Prof. Dr. K.-U. K?hnberger (kkuehnbe at uni-osnabrueck.de) with a cc to**office at ikw.uni-osnabrueck.de no later than *March 26, 2020*. Further information**can be obtained from Prof. Dr. Kai-Uwe K?hnberger (kkuehnbe at uni-osnabrueck.de ). -------------- next part -------------- An HTML attachment was scrubbed... URL: From agostino.gibaldi at unige.it Mon Mar 9 03:09:30 2020 From: agostino.gibaldi at unige.it (Agostino Gibaldi) Date: Mon, 9 Mar 2020 00:09:30 -0700 Subject: Connectionists: EMA - Eye Movement Analysis toolbox Message-ID: <71278c70-f239-c2bf-8bf6-018407865b4c@unige.it> Dear Colleagues, it is our pleasure to announce the release of EMA, the Eye Movement Analysis toolbox: https://sourceforge.net/projects/ema-toolbox/ EMA is implemented in the form of a Matlab GUI and is free for use in research. The GUI is implemented in a modular way, so that the functions used in the GUI can be extracted for sequential analysis of large datasets of eye movements. FUNCTIONALITIES EMA provides the following tools: - data conversion from pixel to degrees to normalized - saccade identification - saccade kinematics - fixation heatmap - main sequence SUPPORTED DEVICES EMA supports the following eye trackers: - SR Research (Eyelink 1000, Eyelink II) - SMI (RED 250) - Tobii EyeX SDK (EyeX and 4C https://sourceforge.net/projects/matlabtoolboxeyex/) The modular architecture allows to plugin a parser for other devices. For questions, comments or suggestions you can reach the authors. Best regards, ??? Agostino Gibaldi ??? Silvio P. Sabatini Reference publications: Gibaldi, A., & Sabatini, S. P. (2020). The Saccade Main Sequence Revised: a Fast and Repeatable Tool for Oculomotor Analysis Behavior Research Methods, DOI: 10.3758/s13428-020-01388-2 (in press). %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%???? EMA Toolbox - Eye Movement Analysis?????????????????????????????????????????????? %%%% %%%% %%%% %%%% %%%% %%%%???? Copyright (c) July. 2019 %%%% %%%%???? All rights reserved. %%%% %%%% %%%% %%%%???? Authors: Agostino Gibaldi, Silvio P. Sabatini??????????????????????????????????????? %%%% %%%% %%%% %%%% %%%% %%%%???? The code is released for free use for SCIENTIFIC RESEARCH ONLY.?? %%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % Permission is hereby granted, free of charge, to any person obtaining a copy % of this software and associated documentation files (the "EMA Toolbox - % Eye Movement Analysis"), to deal in the Software without restriction, % including without limitation the rights to use, copy, modify, merge, % publish, distribute, sub-license, and/or sell copies of the Software, % and to permit persons to whom the Software is furnished to do so, % subject to the following conditions: % % The above copyright notice and this permission notice shall be included in all % copies or substantial portions of the Software. % % THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR % IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, % FITNESS FOR A PARTICULAR PURPOSE AND NON INFRINGEMENT. IN NO EVENT SHALL THE % AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER % LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, % OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE % SOFTWARE. % %------------------------------------------------------------------------------- % %??? This software serves for the post-processing and analysis of gaze data %?????? from eye-tracking devices, for the quantification of oculomotor performance % %??? CREDITS: %??? Gibaldi A., Sabatini S.P., %??? "The Saccade Main Sequence Revised: a Tool for Fast and Repeatable %??? Oculomotor Analysis", Behavior Research Methods %??? DOI: 10.3758/s13428-020-01388-2 (in press). % %??? SOURCE: %??? https://sourceforge.net/projects/ema-toolbox/ % %???? Kindly report any suggestions or corrections to agostino.gibaldi at gmail.com % %------------------------------------------------------------------------------- From marinella.petrocchi at iit.cnr.it Mon Mar 9 06:38:47 2020 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Mon, 09 Mar 2020 11:38:47 +0100 Subject: Connectionists: Special Issue on Disinformation, Hoaxes and Propaganda within Online Social Networks and Media (reminder) Message-ID: --apologies for cross-posting-- CALL FOR PAPERS Elsevier - Online Social Networks and Media Journal http://www.journals.elsevier.com/online-social-networks-and-media/ Special Issue on Disinformation, Hoaxes and Propaganda within Online Social Networks and Media Submission Deadline: March 20, 2020 ********* Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website. ********* Online Social Networks and Media natively convey the information quickly and diffusely. They are 'optimised' for posting and sharing catchy and sensationalist news. Problematic messages may span biased information aiming to influence communities and agendas to deliberate lies meant to mislead users. Whatever the strategy adopted for spreading false news (like support of automatic accounts and presence of trolls to inflame crowds), this would not be effective if there were no audience willing to believe them. The quest for belonging to a community and reassuring answers, the adherence to one's viewpoint: these are key factors for people to contribute to the success of disinformation diffusion. That's why the battle against disinformation must be fought at both technological and sociological level. This special issue seeks high-quality scientific articles (both theoretical and experimental) on using Online Social Networks and Media (OSNEM) data for the analysis of hoaxes, propaganda, and disinformation fabrication and spread on social media, automatic techniques to be embedded in OSNEM platforms to block/prevent their diffusion, and countermeasures to dissuade people to believe/diffuse them. Areas of interest include, but are not limited to, the design and implementation of methodologies and techniques to detect disinformation and/or raise the users' awareness to the threats represented by disinformation, including: Modelling and analysis techniques to study/predict the dynamics of the spread of disinformation; Text mining, graph mining, network and behavioural analyses to detect disinformation; Reputation systems to support the detection - or mitigate the effects - of disinformation; Disinformation strategies; Understanding and guiding the societal reaction in the presence of disinformation; Supervised/unsupervised approaches to let accounts? automation degree emerge from the crowd; Computational fact-checking; Detection of information polarization in online communities; Definition and evaluation of novel metrics to verify news veracity; Domain-free approaches to fight disinformation (i.e., context independent w.r.t. accounts, news, reviews, posts, tweets, etc..); Interplay between OSNEM social network structures and diffusion/prevention of disinformation; Behavioural models behind disinformation diffusion/prevention obtained from large-scale OSNEM data. Data-driven approaches, supported by publicly available datasets, are more than welcome. Guest Editors Yelena Mejova, ISI Foundation, Turin, Italy Marinella Petrocchi, IIT-CNR, Italy Carolina Scarton, University of Sheffield, UK *** Instructions for submission *** Manuscripts must not have been previously published nor currently under review by other journals or conferences. Papers previously published in conference proceedings are eligible for submission if the submitted manuscript is a substantial revision and extension of the conference version. In this case, authors should indicate the previous publication(s) in the cover letter and are also required to submit their published conference article(s) and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www.editorialmanager.com/osnem/default.aspx. Please select "VSI:Disinformation" when you reach the "Article Type" step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on Disinformation, Hoaxes and Propaganda within Online Social Networks and Media. For further information, please contact the guest editors at yelena.mejova at gmail.com marinella.petrocchi at iit.cnr.it c.scarton at sheffield.ac.uk -- Marinella Petrocchi Institute of Informatics and Telematics (IIT) National Research Council (CNR) Pisa (Italy) Mobile: +39 348 8260773 Skype: m_arinell_a Web: http://www.iit.cnr.it/staff/marinella.petrocchi From pmasulli at e-nns.org Mon Mar 9 05:35:50 2020 From: pmasulli at e-nns.org (Paolo Masulli ENNS) Date: Mon, 9 Mar 2020 10:35:50 +0100 Subject: Connectionists: 2nd CfP, Deadline Extension, 29th International Conference on Artificial Neural Networks ICANN 2020, Sept 15-18, Bratislava, SK Message-ID: 29th International Conference on Artificial Neural Networks ICANN 2020 https://e-nns.org/icann2020 *Bratislava, Slovakia** **15 - 18 September 2020* ============================================================ *2nd Call For Papers, Submission Deadline Extended: 31 March * The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2020 the Faculty of Mathematics, Physics and Informatics (FMPI), Comenius University in Bratislava, together with the Slovak Society for Cognitive Science, organize the 29th ICANN Conference from the 15th to the 18th of September 2020 in Bratislava, Slovakia. *CONFERENCE TOPICS* ICANN 2020 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2020 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications Call for Special Sessions: ICANN2020 organizers cordially invite internationally recognised experts to organise Special sessions and workshops within the general scope of the conference. Special Session Proposal request should be sent to icann2020 at fmph.uniba.sk Call for Papers: Authors willing to present original contributions in either oral or poster category may submit: - A *full paper* of about 10-12 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An *extended abstract* of suggested 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be online. More details will be made available soon on the conference website: https://e-nns.org/icann2020/ *IMPORTANT DATES* *Deadline for full papers and extended abstracts submission: EXTENDED to 31 March 2020* Notification of acceptance: 31 May 2020 Camera-ready paper upload and registration opening: 15 June 2020 Deadline for early registration at discount rate: 15 June 2020 Conference dates: 15-18 September 2020 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and, analogously, two in the Machine Learning Research track. All awards will be presented during the final ceremony. *TRAVEL GRANTS* The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. *ORGANISATION* General Chairs: Igor Farka? (FMPI, Comenius University in Bratislava, Slovakia) ?ubica Be?u?kov? (FMPI, Comenius University in Bratislava, Slovakia) Organising Committee Chairs: Juraj B?novsk? (FMPI, Comenius University in Bratislava, Slovakia), Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chairs: Stefan Wermter, University in Hamburg, Germany (ENNS President) V?ra K?rkov?, Czech Academy of Sciences, Prague, Czechia (past ENNS President) Publicity Chair: Krist?na Malinovsk? (FMPI, Comenius University in Bratislava, Slovakia) Communication Chair: Paolo Masulli (Technical University of Denmark, ENNS) -------------- next part -------------- An HTML attachment was scrubbed... URL: From fbln at ecomp.poli.br Mon Mar 9 10:59:50 2020 From: fbln at ecomp.poli.br (Prof. Fernando Buarque) Date: Mon, 9 Mar 2020 11:59:50 -0300 Subject: Connectionists: FIRST CALL FOR PAPERS: VII IEEE Latin American Conference on Computational Intelligence, LA-CCI 2020 .AND. XVI IEEE Latin American Summer School on Computational Intelligence, EVIC 2020 (CHILE) In-Reply-To: References: Message-ID: < We apologize for multiple posting. Please kindly disseminate this Call for Papers to your colleagues, students and contacts> ************************************************************* *FIRST CALL FOR PAPERS* ************************************************************* *VII IEEE Latin American Conference on Computational Intelligence, LA-CCI 2020.* *November 4 - 6, 2020* *XVI IEEE Latin American Summer School on Computational Intelligence, EVIC 2020.* *November 2 - 4, 2020* *Aula Magna - Universidad de La Frontera - **Temuco. CHILE* *********************************************************** * PAPER SUBMISSION DEADLINE: MAY 29, 2020* *********************************************************** We are pleased to invite you to participate in *LA-CCI 2020 *which will be held this year in Temuco, Chile, jointly with the XVI Summer School on Computational Intelligence, *EVIC 2020, *that will be from November 2-4. LA-CCI provides a high-level international forum for scientists, researchers, engineers, professionals and educators as well as for young researchers and students to disseminate their latest research results and *exchange views on the future research of Computational Intelligence* (please visit *http://la-cci.org/ * for more information). Temuco is a southern city surrounded by parks, lakes, volcanic landscapes that give it a natural beauty and touristic charm. It belongs to the Araucan?a Region of Chile and has an important influence of native Mapuche people that preserve a distinctive culture. *-CFP page in the website:* http://la-cci.org/la-cci-2020/call-for-paper-2020/ *-Direct link for the 1st CFP Poster: * http://la-cci.org/wp-content/uploads/LA-CCI2020/Call-For-Papers-1-LA-CCI-2020-POSTER-1.pdf *-Direct link for the 1st CFP Poster: * http://la-cci.org/wp-content/uploads/LA-CCI2020/Call-For-Papers-1-LA-CCI-2020-DESCRIPTION.pdf *MAIN TOPICS (NOT LIMITED TO):* *(NEW) Ethical, Humane & Sustainable Applications of Computational Intelligence: * ? Social & Environmental Responsibility (United Nations Sustainable Development Goals ); ? Governability / Democracy protection; ? Privacy, Individualization, Transparency and Safety challenges; ? Human judgment in Machines; ? Social Ethical Computation; ? Responsible Marketing, etc. *(1) Evolutionary & Swarm Computation:* ? Evolutionary computation; ? Swarm intelligence; ? Artificial immune systems; ? Novel metaheuristics and hyperheuristics; ? Memetic and Collective intelligence; ? Nature and Bio-inspired methods; ? Artificial life. *(2) Neural & Learning Systems:* ? Machine learning; ? Neural Computation (+Weightless Systems); ? Complex systems; ? Wavelets; ? Molecular and quantum computing; ? Brain-machine interfaces; ? Network Sciences; ? Local search methods. *(3) Fuzzy & Stochastic Modeling:* ? Fuzzy logic; ? Fuzzy optimization and design; ? Fuzzy pattern recognition; ? Fuzzy control & decision making/support; ? Rough sets; ? Uncertainty analysis; ? Fractals; ? Game theory; ? Social Simulation; ? Multi-agent systems; ? Symbolic Systems; ? Grey systems. *KEY SPEAKERS* *Dr. Carlos A. Coello Coello* *Affiliation* CINVESTAV-Instituto Polit?cnico Nacional Departamento de Computaci?n Mexico City,MEXICO. *Topic* Evolutionary & Swarm Computation *Short Biography* Carlos A. Coello Coello received the Ph.D. degree in computer science from Tulane University, New Orleans, LA, USA, in 1996. He is a Professor (CINVESTAV-3F Researcher) with the Department of Computer Science of CINVESTAV-IPN, Mexico City, Mexico. He has authored and co-authored over 450 technical papers and book chapters. His publications currently report over 33 000 citations in Google Scholar with an H-index of 70. His current research interests include evolutionary multiobjective optimization and constraint-handling techniques for evolutionary algorithms. Dr. Coello Coello was a recipient of the 2007 National Research Award from the Mexican Academy of Sciences in the area of exact sciences, the 2013 IEEE Kiyo Tomiyasu Award, and the 2012 National Medal of Science and Arts in the area of Physical, Mathematical and Natural Sciences. *Dr. Alice E. Smith * *Affiliation* Department of Computer Science and Software Engineering Auburn University, Auburn, AL, USA *Topic:* Stochastic Modelling *Short Biography* Alice E. Smith is the Joe W. Forehand/Accenture Professor of Industrial and Systems Engineering at Auburn University with a joint appointment in Computer Science and Software Engineering. She holds a bachelor?s degree in civil engineering from Rice University, an MBA from Saint Louis University and a doctorate in engineering management and systems engineering from Missouri University of Science and Technology. She has authored papers with over $2,000 ISI Web of Science citations and has been a principal investigator on projects with funding totaling over $6 million. She is an area editor of INFORMS Journal on Computing and Computers & Operations Research and an associated editor of IEEE Transactions on Evolutionary Computation. *Dr. Hava Siegelmann* *Affiliation* University of Massachusetts Amherst Department of Computer Science MA,USA. *Topic* Neural & Learning System *Short Biography* Dr. Hava Siegelmann earned a Ph.D. from Rutgers University, an M.S. from The Hebrew University, and a B.A. from Technion, all in computer science. Her academic distinctions include the Rutgers Doctoral Fellowship of Excellence. In 2015, the National Institutes of Health named Siegelmann one of 16 presidential BRAIN Initiative awardees for her work on energy- constrained brain activation. She is the 2016 recipient of the Hebb Award of the International Neural Network Society as well as the 2017-9 IEEE distinguished lecturer. Dr. Siegelmann also serves as a core member of the university?s Neuroscience and Behavior program and of the BINDS lab (Biologically Inspired Neural and Dynamical Systems), focused on biological learning mechanisms. She co-originated ?support vector clustering? with Vladimir Vapnik, which has become one of the most widely used clustering algorithms in industry. She also created a sub-field of computation with her discovery of Super-Turing computation. *Dr. Piero P. Bonissone* *Affiliation* GE Global Research One Research Circle Niskayuna, NY 12309, USA *Topic* Fuzzy Modelling *Short Biography* Piero Bonissone received the BS degree in EE/ME from the University of Mexico City, in 1975, the M.S. in ME from UC Berkeley, in 1978, and the PhD in EECS from UC Berkeley, in 1979. He was a computer scientist at the General Electric Corporate Research and Development Center (GE CRD) since 1979. Dr. Bonissone has carried out research and projects in Artificial Intelligence, expert systems, simulation, fuzzy sets, soft computing, and data mining. In 1989 he received the Dushman Award from GE CRD for his work on reasoning with uncertainty. Dr. Bonissone has published more than a hundred articles in the area of expert systems, approximate reasoning, fuzzy sets, pattern recognition, decision analysis, and soft computing. He received seven patents from the U.S. Patent Office for his work on reasoning with uncertainty and fuzzy control. *XVI IEEE LATIN AMERICAN SUMMER SCHOOL ON COMPUTATIONAL INTELLIGENCE* The Latin American Summer School on Computational Intelligence (EVIC) is an annual event held in Chile since 2004 with the objective of disseminating the foundations and recent advances of Computational Intelligence, Artificial Intelligence, Machine Learning, Data Science, Intelligent Control, among others, to the universities and business public of Chile and Latin America. EVIC is organized by the Chilean chapter of the IEEE CIS. *LA-CCI POSTGRADUATE THESES CONTEST (PTC)* The Postgraduate Theses Contest (PTC) promotes the integration and cooperation of young researchers in Computational Intelligence areas, providing greater visibility of the work done. Among the registered participants, the PTC will select and award the best doctoral thesis and the best master?s thesis on Computational Intelligence. A valid thesis or dissertation has to completed, duly defended and approved during the period January 2018 to June 2020.The theses will be evaluated based on their: (1) Scientific and technological contributions, generated by the work; (2) Potential impact on society; and, (3) Potential impact on the state of the art on Computational Intelligence & associated areas. *ROUND TABLES AND OUTREACH ACTIVITIES* ? Social challenges (ethics, human rights, indigenous, education), environment and CI applications. ? CI and development. ? Invitation to school teachers and students of the region to talk about the advances, opportunities of CI and answer their questions. *IMPORTANT DATES * *Paper submissions: 29 May 2020* *Acceptance notification: *3 August 2020 *Final paper submission: *31 August 2020 *Early Registration: *30 September 2020 *Theses Contest Deadline: *July 31, 2020 * Theses Contest Result Notification: *August 31, 2020 *EVIC Poster Deadline: *2 October 2020 *EVIC Poster Notification:* 9 October 2020 *SUBMISSIONS * Paper length will be up to 6 pages. Papers must be written in MS-Word or Latex. Papers must be written in English. Papers will be submitted using the Easychair System. *POST-PROCEEDINGS * Presented papers will be published in the conference proceedings and made available via the IEEE Xplore Digital Library, and (per IEEE?s policy) submitted to the Scopus database for indexing. At least one paper author must register and present the paper at the event. *STEERING COMMITTEE* 1. *Fernando Buarque de Lima Neto *?Universidade de Pernambuco (Brazil) Founder & Board of Directors of LA-CIS] [*** Steering Committee Coordinator] 2. *Gary Fogel * , C*hief Executive Officer of Natural Selection, Inc. (USA)* *3. Cristian Rodriguez Rivero ?Universidad Nacional de C?rdoba (Argentina) [Founder & Board of Directors of LA-CIS] [Past-General Chair of LA-CCI 2014 ? Bariloche, Argentina]* *4. Yv?n Jes?s T?pac Valdivia ? Universidad Cat?lica San Pablo (Peru) [Founder & Board of Directors of LA-CIS] [Past-General Chair of LA-CCI 2017 ? Arequipa, Peru]* *5. Carmelo Jos? Albanez Bastos-Filho ? Universidade de Pernambuco (Brazil) [Founder Member of LA-CIS]* *6. Heitor Silv?rio L?pes ? Universidade Federal Tecnol?gica do Paran? (Brazil) [Past-General Chair of LA-CCI 2015 ? Curitiba, Brazil]* *7. Alvaro David Orjuela-Ca??n ? Universidad del Rosario (Colombia) [Past-General Chair of LA-CCI 2016 ? Cartagena, Colombia]* *8. Alma Yolanda Alanis Garcia ? Universidad de Guadalajara (Mexico) [Past-General Chair of LA-CCI 2018 ? Guadalajara, Mexico]* *9. Otilia Maria Alejandro Molina ? Escuela Superior Politecnica del Litoral, ESPOL (Ecuador) [Past-General Chair of LA-CCI 2019 ? Guayaquil, Ecuador]* *10. Gloria Millaray Curilem Sald?as ? Universidad de la Frontera (Chile) [*** This edition General Chair of LA-CCI 2020 ? Temuco, Chile] * *Invited Members: H?ctor Cancela /Martin Pedemonte ? Universidad de la Republica (Uruguay) [*** Next General Chairs of LA-CCI 2021 ? Montevideo]* *LOCAL ORGANIZING COMMITTEE* *GENERAL CHAIRS* *Millaray Curilem, *Universidad de La Frontera, Temuco *Doris S?ez-Hueichapan, *Universidad de Chile, Santiago *Nelson Aros,* Universidad de La Frontera, Temuco *HONORARY CHAIR* *Pablo Est?vez, *Universidad de Chile, Santiago *PROGRAM CHAIR* *Cesar San Martin, *Universidad de La Frontera, Temuco *SUMMER SCHOOL CHAIR* *Fernando Huenupan, *Universidad de La Frontera, Temuco *PUBLICATION CHAIR* *Daniel Sbarbaro,* Universidad de Concepci?n, Concepci?n (UDEC) *SPONSORS CHAIR* *Gonzalo Acu?a, *Universidad de Santiago de Chile, Santiago *TOPICS CHAIR* *Claudio Held,* Universidad de Chile, Santiago *Felipe Tobar, *Universidad de Chile, Santiago *Mar?a Cristina Riff,* Universidad T?cnica Federico Santa Mar?a, Valpara?so *Pablo Huijse, *Universidad Austral de Chile, Valdivia *CONTACT* Please feel free to contact any of the Program Chairs in case you have any questions about the Conference at {cesar.sanmartin at ufrontera.cl, nelson.aros at ufrontera.cl}. --- Cordially, Fernando Buarque Prof. Dr. Fernando Buarque , BSc MSc DIC-PhD(UK) Hab(BR) AvH-Fellow(GE), Sr. Memb. IEEE(USA) Steering Committee Coordinator ? Latin American Conference on Computational Intelligence (LA-CCI ) Senior Associate Professor ? PostGrad/Undergrad Program on Computing Engineering of UPE, Brazil (PPG-EC / E-Comp ) Visiting Professor ? School of Electrical Engineering/University of Johannesburg, South Africa (FEBE at UJ ) Visiting Int'l Professor ? School of Business and Economics-European Research Center for IS-WWU, Germany (ERCIS ) Adjunct Professor (external) ? Dept Electrical & Computer Engineering /Texas A&M University, USA (ECE at TAMU ) Research Group Head ? Computational Intelligence Research Group of UPE, Brazil (CIRG at UPE ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Mon Mar 9 07:15:09 2020 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Mon, 9 Mar 2020 12:15:09 +0100 Subject: Connectionists: CFP: Automated clinical coding shared task: CodiEsp track In-Reply-To: References: Message-ID: **** Call for Participation CodiEsp: Clinical Case Coding Task (eHealth CLEF 2020) *** * *CodiEsp (eHealth CLEF? Multilingual Information Extraction) Shared Task on automatic assignment of ICD10 codes (procedures, diagnosis) track at CLEF 2020* http://temu.bsc.es/codiesp Plan TL Award for the CodiEsp Track The CodiEsp sub-tracks: *1.CodiEsp Diagnosis Coding *sub-task* (CodiEsp-D)*: will require automatic ICD10-CM [CIE10 Diagn?stico] code assignment to each clinical case document. *2.CodiEsp Procedure Coding *sub-task* (CodiEsp-P):* will require automatic ICD10-PCS [CIE10 Procedimiento] code assignment to each clinical case document. *3.CodiEsp Explainable AI *exploratory sub-task* (CodiEsp-X).* Systems are required to extract the evidence text supporting the predicted codes (both ICD10-CM and ICD10-PCS). *Task description* Clinical coding essentially requires the transformation (or classification) of medical texts into a structured or coded format using internationally recognized class codes. These codes describe a patient?s diagnosis or treatment. Clinical coding is critical for standardizing electronic clinical records; enable aetiology studies, monitor health trends, carry out epidemiology studies, clinical and biomedical research, assist clinical decision-making or even reimbursement. As part of the eHealth CLEF (http://clef-ehealth.org) Multilingual Information Extraction Shared Task we organize* CodiEsp: Clinical Case Coding Task (http://temu.bsc.es/codiesp ). *The CodiEsp task will address the automatic extraction and assignment of clinical coding (diagnosis and procedures) to clinical case documents in Spanish. To enable participation of researches around the world, in addition to the basic data in Spanish, we will also publish versions of the training, development, and test set *automatically translated into English*. Participating systems will be asked to automatically assign ICD10 codes (or CIE-10, in Spanish) to clinical case documents. Evaluation is done through comparison to manually assigned ICD10 codes. *Publications and workshop* As in previous eHealth CLEF efforts, there will be an *evaluation workshop allocated at CLEF 2020* where participating teams can present their systems and results. Moreover, participating teams will be invited to submit their system description papers for publication at the *CLEF 2020 Working Notes proceedings*. For previous working notes see: http://ceur-ws.org/Vol-2125/ *CodiEsp awards* There will we three awards for the top-scoring teams promoted by the Spanish Plan for the Advancement of Language Technology (Plan TL) and the Barcelona Supercomputing Center (BSC). -------------------------------------- *Participation and useful info* -------------------------------------- 1. CodiEsp web, info & detailed description:http://temu.bsc.es/codiesp/ 2. Registration for CodiEsp (Multilingual Information Extraction eHealth track):http://temu.bsc.es/codiesp/index.php/registration/ 3. Datasets:https://zenodo.org/record/3693570 4. Additional training resources:https://doi.org/10.5281/zenodo.3606662 ------------------------ *Main CodiEsp Track organizers* ------------------------ - *Martin Krallinger*, Barcelona Supercomputing Center. - *Antonio Miranda*, Barcelona Supercomputing Center. - *Aitor Gonzalez-Agirre*, Barcelona Supercomputing Center. - *Marta Villegas*, Barcelona Supercomputing Center. - *Jordi Armengol*, Barcelona Supercomputing Center. ------------------------ *Important Dates* ------------------------ Jan 13: Training and development set release March 2: Test and background set release April 28: Task setting discussion workshop at MIE2020 (Geneva) May 3: End of evaluation May 5: Results notified May 24: Paper submission Jun 28: Camera-ready paper submission Sep 22-25: CLEF 2020 Conference (Thessaloniki, Greece) -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro.adamou at insight-centre.org Mon Mar 9 11:33:11 2020 From: alessandro.adamou at insight-centre.org (Alessandro Adamou) Date: Mon, 9 Mar 2020 15:33:11 +0000 Subject: Connectionists: Deadline extension: 3rd Workshop on Humanities in the Semantic Web - WHiSe 2020 Message-ID: <9200beb2-2849-bc15-c8f3-95d4bc627642@insight-centre.org> with apologies for multiple postings. Please be aware that the deadline for contributions to the WHiSe workshop @ESWC2020 has been further extended to this Friday, March 13. ==== Call for Papers (WHiSe 2020) ==== 3rd Workshop on Humanities in the Semantic Web - WHiSe Date: May 31 or June 1, 2020 (to be decided) Venue: Heraklion, Crete, Greece (co-located with ESWC 2020) Hashtag: #whise2020 Twitter: @whiseworkshop Email:whise2020 at easychair.org Site:http://whise.cc/2020/ Workshop chairs: - Alessandro Adamou - Data Science Institute, NUI Galway, Ireland - Enrico Daga - The Open University, UK - Albert Mero?o-Pe?uela - Vrije Universiteit Amsterdam, The Netherlands # DESCRIPTION The emergence of affordable computational methods for the collection, enhancement and analysis of data generated en masse has helped shape several fields, such as social sciences, into structured research fields. Digital Humanities are enjoying such a transformation to the point that their very boundaries and methodological foundations are being called into question. The quality and relevance of findings obtained from the thorough, human-driven analysis of a few sources, compared to unsupervised large-scale analytics on masses of data, is a fervent ongoing debate; and yet, the latter cannot prescind from a conscious effort in shaping the world to which the analyses need to relate. This has largely taken the form of knowledge modelling efforts, from which many ontologies, controlled vocabularies and conceptual models like CIDOC-CRM, the Europeana Data Model and FRBRoo have arisen. However, other fields traditionally less reliant on machine-readable data have seen the emergence of ?ecological? communities with an approach to the Web of Data. Recent examples include Transforming Musicology for music and musicology and Linked Pasts for history and archaeology. The WHiSe workshop series was conceived from a reflection on the extent to which the Semantic Web community is serving the needs of historians, philologists, cultural critics, musicologists and other humanists that generally: (1) cannot always rely on masses of structured data; (2) deal with vague, fragmentary, uncertain, contradictory and yet still valuable evidence that poses a challenge even to Artificial Intelligence research per se; (3) have good reason to value the systematic investigation of a few sources but intend to push the boundaries by exploring the potential of automated analytical findings on masses of content. WHiSe also probes for interest in genuinely new Semantic Web research questions inspired by processes in Digital Humanities. It addresses both aspects by promoting dialogue between humanists who employ or are contemplating semantic technologies, and Semantic Web scholars providing accounts of applied research in the Humanities. WHiSe 2020 welcomes original research contributions crossing Humanities and the Semantic Web. Scholars who have conducted research or developed impactful applications are invited to submit full papers with appropriately evaluated contributions. WHiSe also welcomes vision/position papers on novel challenges or approaches to existing problems as well as demos and preliminary results (short papers). Topics on which potential submitters are invited to contribute include, but are not limited to: Construction and use of Humanities Knowledge Graphs Knowledge base generation from classical texts Linking data within and across gazetteers Semantic enrichment of data from historical records and biographies Ecosystems, infrastructures and process descriptions for linking data in the Humanities Linked Digital Libraries and semantic archives Semantic search in humanities data Social semantics and network analysis of humanities data Ontology adoption in specific domains in the Humanities Computational methods for the prosopography of historical figures Capturing, modelling and reasoning on musical data The role of ontologies and controlled vocabularies in data preservation Contribution of Linked Data to the successful application of machine learning and deep learning methods in Digital Humanities Criticism of Semantic Web standards from the point of view of humanities scholarship Knowledge bottlenecks, practical difficulties and usability of Linked Data and Knowledge technologies by cultural institutions and Humanities scholars Ethical issues in using Semantic Web and Linked Data Utopic / dystopic visions of the Semantic Web of the future Submissions in all the categories mentioned above (full and short papers) will be peer-reviewed by acknowledged researchers familiar with both scientific communities. Accepted papers will be published as online proceedings courtesy of CEUR-WS.org. # IMPORTANT DATES Submission deadline: **Extended ** to FRIDAY, MARCH 13, 2020 Notification to authors: April 6, 2020 Camera-ready due on: April 17, 2020 Workshop day: May 31 or June 1, 2020 (to be decided) # SUBMISSION INSTRUCTIONS We welcome the following types of contributions: - Full papers (up to 12 pages) - Short papers (up to 6 pages) All papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop. Short papers may report preliminary results, demos, or discuss a novel problem relevant to the community. Authors of accepted short papers may be required to present their work as a poster. Every submitted paper must represent original and unpublished work: it must not be under review or accepted elsewhere and there must be a significantly clear element of novelty distinguishing a submitted paper from any other prior publication or current submission. All submissions must be PDF documents written in English and formatted according to LNCS instructions for authorshttp://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Page limits are inclusive of references and appendices, if any. Papers are to be submitted through the Easychair Conference Management System (https://easychair.org/conferences/?conf=whise2020). Please note that paper submissions to WHiSe are not anonymous. At least one author of each accepted paper must register for the workshop, in order to present the paper there, and to the conference. For further instructions please refer to the ESWC 2020 page (http://2020.eswc-conferences.org/). # PROGRAM COMMITTEE Elton Barker, The Open University Daniel Bangert, G?ttingen State and University Library Francesca Benatti, The Open University Gabriel Bodard, School of Advanced Study, University of London Victor de Boer, Vrije Universiteit Amsterdam Rossana Damiano, Marilena Daquino, Alma Mater Studiorum Universit? di Bologna Ethan Gruber, American Numismatic Society Eero Hyv?nen, University of Helsinki (HELDIG) and Aalto University Antoine Isaac, Europeana Francesco Mambrini, Universit? Cattolica John McCrae, National University of Ireland Galway Paul Mulholland, The Open University Patricia Murrieta-Flores, Lancaster University Kevin Page, University of Oxford Silvio Peroni, Alma Mater Studiorum Universit? di Bologna Davide Picca, University of Lausanne Robert Sanderson, J. Paul Getty Trust Rainer Simon, Austrian Institute of Technology Francesca Tomasi, Alma Mater Studiorum Universit? di Bologna Fran?ois Vignale, Universit? du Maine -------------- next part -------------- An HTML attachment was scrubbed... URL: From mlsp at neuro.kuleuven.be Mon Mar 9 09:57:30 2020 From: mlsp at neuro.kuleuven.be (2020 IEEE International Workshop on Machine Learning fo Signal Processing) Date: Mon, 9 Mar 2020 14:57:30 +0100 Subject: Connectionists: Call for papers: IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2020) Message-ID: *IEEE International Workshop on**** MACHINE LEARNING FOR SIGNAL PROCESSING**** September 21?24, 2020 Aalto University, Espoo, Finland* https://ieeemlsp.cc *MLSP 2020* Download poster *Call for Papers* Machine learning, as the driving force of this wave of AI, provides powerful solutions to many real-world technical and scientific challenges. The 30th MLSP workshop, an annual event organized by the IEEE Signal Processing Society MLSP Technical Committee, will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, as well as special and regular single-track sessions. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: * Learning theory and modeling * Neural networks and deep learning * Bayesian Learning and modeling * Sequential learning, sequential decision methods * Information-theoretic learning * Graphical and kernel models * Bounds on performance * Source separation and independent component analysis * Signal detection, pattern recognition and classification * Tensor and structured matrix methods * Machine learning for big data * Large scale learning * Dictionary learning, subspace and manifold learning * Semi-supervised and unsupervised learning * Active and reinforcement learning * Learning from multimodal data * Resource efficient machine learning * Cognitive information processing * Bioinformatics applications * Biomedical applications and neural engineering * Speech and audio processing applications * Image and video processing applications * Intelligent multimedia and web processing * Communications applications * Other applications including social networks, games, smart grid, security and privacy *Special Session Call for Proposals* MLSP is seeking original, high quality proposals for Special Sessions, to be included in the technical program along with the regular track. Special Sessions are expected to address research in focused, emerging, or interdisciplinary areas of particular interest, not covered already by traditional MLSP sessions. More details *Paper Submission* Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure which will be peer-reviewed. More details *Paper Publication* Accepted papers will be published on on a password-protected website that will be available during the workshop. The presented papers will be published in and indexed by IEEE Xplore. *Schedule 2020* * Special session call deadline: *March 19* * Paper submission deadline: *April 19* * Decision notification: *June 30* * Camera-ready paper deadline:***July 25* * Advance registration deadline: *August 22* *Organizing Committee* General Chair: *Simo S?rkk?*?(Aalto University), Program Chairs: *Lassi Roininen*?(Lappeenranta University of Technology), *Andreas Hauptmann*?(University of Oulu), *Manon Kok*?(TU Delft), *Michael Riis Andersen*?(Technical University of Denmark), Finance Chair: *Seppo Sierla*?(Aalto University), Publicity Chair: *Arno Solin*?(Aalto University), Tutorial Chair: *Alexander Ilin*?(Aalto University), Publications Chair: *Roland Hostettler*?(Uppsala University), Advisory Committee: *Zheng-Hua Tan*?(Aalborg University), *Murat Akcakaya*?(University of Pittsburgh), *Bhaskar Rao*?(University of California San Diego), *Raviv Raich*?(Oregon State University) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Sofia.Delafuente at ed.ac.uk Mon Mar 9 13:46:56 2020 From: Sofia.Delafuente at ed.ac.uk (DE LA FUENTE GARCIA Sofia) Date: Mon, 9 Mar 2020 17:46:56 +0000 Subject: Connectionists: CHANGE OF DATE: ADReSS 2020 Message-ID: <5E2FB4C8-DE89-4085-9F09-98C6550CBAAB@ed.ac.uk> Dear all, We have updated the 'key dates' on the ADReSS website following the announcement by the INTERSPEECH organisers that the conference will be postponed to 26-29 Oct due to COV-19 concerns. The paper submission and notification dates have also been pushed back to May 8th and July 14th respectively. For further details please see https://edin.ac/375QRNI Call for Participation: ----------------------- Alzheimer's Dementia Recognition through Spontaneous Speech: The ADReSS Challenge at INTERSPEECH 2020 (Sep 15-18, Shanghai, China) Dementia is a category of neurodegenerative diseases that entails a long-term and usually gradual decrease of cognitive functioning. While a number of studies have investigated speech and language features for the detection of Alzheimer's Disease and mild cognitive impairment, and proposed various signal processing and machine learning methods for this prediction task, the field still lacks balanced and standardised data sets on which these different approaches can be systematically compared. The ADReSS Challenge has made available a benchmark dataset of spontaneous speech, which is acoustically pre-processed and balanced in terms of age and gender, defining a shared task through which different approaches to AD recognition in spontaneous speech can be compared. We invite researchers working on speech and language analysis methods for detection of AD and/or assessment of cognitive status to develop or test their approaches to these tasks on the ADReSS Challenge dataset, and to submit a paper for presentation at INTERSPEECH'2020, in the Challenge's special session. The relevant dates are: * January 24, 2020: ADReSS training data available * March 15, 2020: ADReSS test data made available * March 17, 2020: Period for submission of results opens * March 30, 2020: May 8: INTERSPEECH'2020 paper submission deadline * June 19, 2020: July 14: Paper acceptance/rejection notification * September 15-18, 2020 October 26-29: INTERSPEECH'2020, in Shanghai, China. For further details please see https://edin.ac/375QRNI Sofia de la Fuente MRC PhD Scholar in Precision Medicine Usher Institute Edinburgh Medical School University of Edinburgh https://www.ed.ac.uk/profile/sofia-de-la-fuente The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicolas.navarro.guerrero at gmail.com Tue Mar 10 07:52:07 2020 From: nicolas.navarro.guerrero at gmail.com (=?UTF-8?Q?Nicol=c3=a1s_Navarro-Guerrero?=) Date: Tue, 10 Mar 2020 12:52:07 +0100 Subject: Connectionists: CFP Deadline Extension - 10th IEEE International Conference on Development and Learning (ICDL), Valparaiso Chile Message-ID: <8d5d99dc-b4ad-3118-4c52-7b773f748840@gmail.com> Due to the COVID-19 outbreak, which has directly or indirectly affected countries how typically are well represented at the conference, we are extending the deadline submission. The health and safety of our conference participants is our top priority. Therefore, we are closely monitoring any travel advisories and governmental recommendations. Please check our website where we will post any relevant information as quickly as possible. CALL FOR PAPERS DEADLINE EXTENDED: 10th IEEE International Conference on Development and Learning (ICDL) An IEEE Computational Society-sponsored conference (This is the follow-up of the previous ICDL-EpiRob conference series) 7th-10th September 2020, Valparaiso, Chile https://cdstc.gitlab.io/icdl-2020/ ==== Important Dates ==== Submission deadline: 15th March 2020 -> New deadline: 12th April 2020 Author notification: 15th May 2020 -> moved to 31st of May 2020 Camera ready due: 1st July 2020 Conference: 7th-10th September 2020 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies. ICDL is a highly selective annual international conference that aims to showcase and share the very best interdisciplinary and multidisciplinary research on how humans and animals develop sensing, reasoning and actions. ICDL community focusses on the understanding of how biological agents take advantage of interaction with social and physical environments to develop their cognitive capabilities. Moreover, how this knowledge can be used to improve future computing and robotic systems. We invite submissions for the conference to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== The primary list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Submissions ==== Authors are invited to submit original and unpublished papers of six pages with the possibility of two-extra pages at a fee. Submissions are in the IEEE conference template. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. For more information about submissions, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicol?s Navarro-Guerrero, and Mar?a-Jos? Escobar Bridge Chairs: Minoru Asada, Fr?d?ric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Crist?bal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Kind regards on behalf of the Organizing Committee, -- Nicol?s Navarro-Guerrero Assistant Professor Department of Engineering, and School of Culture and Society Aarhus University, Denmark E-mail: nng at eng.au.dk https://au.dk/en/nng at eng.au.dk https://nicolas-navarro-guerrero.github.io/ Aarhus University Finlandsgade 22, building 5125 8200 Aarhus N Denmark Tel.: +45 8715 0000 eng at au.dk www.eng.au.dk/en/ -- Best regards, Nicol?s -- Nicol?s Navarro-Guerrero https://nicolas-navarro-guerrero.github.io/ From events.biopsych at ovgu.de Tue Mar 10 10:09:53 2020 From: events.biopsych at ovgu.de (events.biopsych at ovgu.de) Date: Tue, 10 Mar 2020 14:09:53 +0000 Subject: Connectionists: Last Call: Deep Neural Network workshop (July 2020, Magdeburg, Germany) In-Reply-To: <20200113081342.Horde.LEPQe2u7cTXEGU_tC9mKQGS@webmailer.ovgu.de> References: <20191115123332.Horde.rgH1dlrAK0HVOan6pZCHUta@webmailer.ovgu.de> <20200113081342.Horde.LEPQe2u7cTXEGU_tC9mKQGS@webmailer.ovgu.de> Message-ID: <105267_1583849967_02AEJObH105492_20200310140953.Horde.zW3STr0R1a8iOCRcLfq_EKy@webmailer.ovgu.de> Please forward this mail to anyone who might be interested in attending the workshop. ----- Dear fellow scientists, This is the last call for the 4th Modelling Symposium in Magdeburg (27.07.2020 - 31.07.2020) - an introduction into Deep Neural Networks (DNNs). For more details and registration, please visit our website: https://www.noesseltlab.org/events-presentations/4th-modelling-symposium/ Summary/ General information: ?? ? ? ? 27.07.2020 - 31.07.2020 (4-day Workshop) in Magdeburg, Germany. ?? ? ? ? registration deadline: March, 31st (2020). ?? ? ? ? possibilities to present your research/research idea (Poster) and discuss your project ideas/data with our tutor Looking forward to see you in Magdeburg, Felix Ball, Nico Marek, & T?mme Noesselt From sergio.escalera.guerrero at gmail.com Wed Mar 11 02:53:47 2020 From: sergio.escalera.guerrero at gmail.com (Sergio Escalera) Date: Wed, 11 Mar 2020 07:53:47 +0100 Subject: Connectionists: CVPR'20 Workshop CFP: Challenges and Promises of Inferring Emotion from Images and Video Message-ID: CVPR'20 Workshop CFP: Challenges and Promises of Inferring Emotion from Images and Video OVERVIEW There is a disconnect between what computer vision (and AI) researchers think emotions are and how they are conveyed through facial expressions and body pose, and what the actual science tells us. Take faces as an example. Undoubtedly, faces offer information that helps us navigate our social world, influence whom we love, and determine who we trust or who we believe to be guilty of a crime. But to what extent does an individual?s face reveal the person?s internal emotions? To what extent (and how) can we design computer vision systems to accurately interpret an emotion or intention from a raised eyebrow, a curled lip, or a narrowed eye? And to what degree are these visual cues influenced by body pose and context? Recent research shows that faces or body expressions alone are insufficient to perform a reverse inference of image to emotion, and that context, personal believes, and cultural must be accounted for. This workshop will present these limitations and examine several alternative approaches to successfully interpret the emotion and intent of others. TOPICS OF INTEREST (include but are not limited to) ? The role of context in the study of emotion ? Common errors in inferring emotion from images and video ? Cultural and situational influences ? Face and body cues and their interaction ? Biomechanics role in inferring emotion ? Dynamics of facial and body actions in the expression of emotion ? Cross-cultural studies of emotional expression in the wild ? Biologically-inspired computer vision systems ? Computer vision algorithms in the study of psychopathologies ? Biases caused by limitations on the available datasets ? Ethics of inferring emotion from images and video TIMELINE ? Paper submission deadline: 19th March 2020 (11:59pm Pacific Time) ? Notification to authors: 11th April 2020 ? Camera ready deadline: 20th April 2020 (11:59pm Pacific Time) ? Workshop date: 14, 15 or 19th June 2019 (TBD) INVITED SPEAKERS ? Prof. Lisa Feldman Barrett, University Distinguished Professor of psychology at Northeastern University, with appointments at Harvard Medical School and Massachusetts General Hospital in psychiatry and radiology. ? Prof. Alexander Todorov, Professor at Princeton University. Studies how people perceive, evaluate, and make sense of the social world. ? Prof. Ralph Adolphs, Bren Professor of Psychology, Neuroscience, and Biology; Allen V. C. Davis and Lenabelle Davis Leadership Chair, Caltech Brain Imaging Center; Director, Caltech Brain Imaging Center. ? Prof. Rachael Jack, Reader at University of Glasgow; and associate member of the Institute of Neuroscience and Psychology. ORGANIZERS ? Aleix M. Martinez, The Ohio State University ? Sergio Escalera, Universitat de Barcelona and Computer Vision Center ? Qianli Feng, The Ohio State University WORKSHOP WEBPAGE AND SUBMISSION INSTRUCTIONS http://cbcsl.ece.ohio-state.edu/cvpr-2020/index.html -- *Dr. Sergio Escalera Guerrero*Head of Human Pose Recovery and Behavior Analysis group / ICREA Academia / Project Manager at the Computer Vision Center Vice-president of ChaLearn Challenges in Machine Learning, Berkeley Associate professor at Universitat de Barcelona / Universitat Oberta de Catalunya / Aalborg University / Dalhousie University Email: sergio.escalera.guerrero at gmail.com / Webpage: http://www.sergioescalera.com/ / Phone:+34 934020853 -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Wed Mar 11 05:15:47 2020 From: interdonatos at gmail.com (Roberto Interdonato) Date: Wed, 11 Mar 2020 10:15:47 +0100 Subject: Connectionists: CfP - Soc2Net: 2nd International workshop on Modeling and mining Social-Media-driven Complex Networks @ ASONAM 2020 Message-ID: Soc2Net: 2nd International workshop on Modeling and Mining Social-Media-driven Complex Networks @ ASONAM 2020 August 3, 2020, The Hague, Netherlands http://events.dimes.unical.it/soc2net KEY DATES ---------------- Paper submission deadline: May 10, 2020 Acceptance notification: June 10, 2020 _________________________________________________________________________ CONTEXT The growing availability of multi-faceted social media data gives rise to unprecedented opportunities for unveiling complex real-world online behaviors. This also supports the proliferation of complex network models where the expressive power of the graph-based relational structure is enhanced through exposing several types of features that are peculiar of the social media platforms. This workshop aims to explore innovative methods that are designed to improve our understanding of behaviors and relations underlying feature-rich networks built upon social media, here called social-media-driven complex networks. Exemplary network models of such kind include heterogeneous, multilayer/multiplex/multirelational networks, temporal, location-aware, and probabilistic networks, and any other type of data-driven network that can be inferred from social media data contexts. The aim of the Soc2Net workshop, that will be held in conjunction with The 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2020) in The Hague (Netherlands), is to bring together researchers and practitioners from around the world interested in 1) exploring different perspectives and approaches to mine social-media-driven complex networks, 2) analyzing user behavior and evolution in social-media-driven complex networks, and 3) building models and frameworks for evaluating the respective approaches. Authors are encouraged to evaluate their models, methods, metrics and algorithms on real-world social networks built upon publicly available datasets. We solicit interdisciplinary submissions focusing on topics of interest to different research communities, including social science, economics and digital humanities. TOPICS - Foundations of Learning and Mining in social-media-driven complex networks - Centrality and Ranking in social-media-driven complex networks - Community Detection in social-media-driven complex networks - Link Prediction in social-media-driven complex networks - Simplification/pruning/sampling of social-media-driven complex networks - User Behavior Modeling in social-media-driven complex networks - Influence propagation in social-media-driven complex networks - Reputation and Trust computing in social-media-driven complex networks - Embedding and Deep Learning in social-media-driven complex networks - Probabilistic and Uncertain social-media-driven complex networks - Time-evolving social-media-driven complex networks - Hypergraph-based modeling, analysis and learning problems - Cross-Domain problems in social-media-driven complex networks - Visualization of social-media-driven complex networks - Personalization and Recommendation in social-media-driven complex networks - Mobility in social-media-driven complex networks - Vertex similarity in multiplex and social-media-driven complex networks - Multiplex and social-media-driven complex networks evolution models - Multiplex network and dynamic network mining - Ensemble learning for social-media-driven complex networks mining - Pattern mining in social-media-driven complex networks SUBMISSION We welcome original contributions, including papers discussing ongoing research projects. Contributions can be of two types: either short position papers (2 to 3 pages including references) or full research papers (6 to 8 pages including references). Papers must follow the IEEE two-column template, in compliance to the main conference. Accepted contributions will be made available electronically through the CEUR Workshop Proceedings platform (http://ceur-ws.org). Authors of selected contributions will be invited to submit an extended version of their accepted paper (either type) to a peer-reviewed high-quality journal (to be announced). SUBMISSION WEBSITE: https://easychair.org/conferences/?conf=soc2net KEY DATES Paper submission deadline: May 10, 2020 Acceptance notification: June 10, 2020 Final manuscripts due: June 30, 2020 PC-CHAIRS Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato at cirad.fr Sabrina Gaito, Universit? degli Studi di Milano, Italy, gaito at di.unimi.it Alessandra Sala, Nokia Bell Labs, Dublin, Ireland, alessandra.sala at nokia-bell-labs.com Andrea Tagarelli, University of Calabria, Italy, andrea.tagarelli at unical.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From manuel.baltieri at gmail.com Thu Mar 12 02:11:47 2020 From: manuel.baltieri at gmail.com (Manuel Baltieri) Date: Thu, 12 Mar 2020 15:11:47 +0900 Subject: Connectionists: DEADLINE 18th March, CfP - Special session - Hybrid Life III, ALife 2020 Message-ID: <4A1CDA14-2773-47A2-A384-07E3600ED267@gmail.com> [Apologies for cross-posting] ********** Call for Papers - Deadline 18th March ********** Special session - Hybrid Life III: Approaches to integrate biological, artificial and cognitive systems https://sites.google.com/view/hybrid-life-iii/ 2020 Artificial Life conference (ALife) Montreal, Canada, 13-18th July 2020 - http://2020.alife.org/ --------------------------------------------------------------------------------------------- DESCRIPTION: The main focus of ALife research is the study of natural and artificial systems with the goal of understanding what life is. More concretely, ALife defines ways to investigate processes that contribute to the formation and proliferation of living organisms. In this session we focus on three common approaches to tackle this investigation, proposing ways to integrate, extend and possibly improve them. More specifically we refer to: 1) the formalisation of the necessary properties for the definition of life, 2) the implementation of artificial agents, and 3) the study of the relation between life and cognition. For this special session we propose to start from these well-established Alife methodologies, and extend them through: a unified formal language for the description and modelling of living, as well as artificial and cognitive systems, e.g. control theory, Bayesian inference, dynamical systems theory, etc., the exploration of biological creatures enhanced by artificial systems (or artificial systems augmented with organic parts) in order to investigate the boundaries between living and nonliving organisms, and the evaluation of coupled biological-artificial systems that could shed light on the importance of interactions among systems for the study of living and cognitive organisms. This special sessions aims to invite contributions from the fields of psychology, computational neuroscience, HCI, theoretical biology, artificial intelligence, robotics and cognitive science to discuss current research on the formalisation, combination and interaction of artificial/living/cognitive systems from theoretical, modelling and implementational perspectives. Potential topics include, but are not limited to: Formalisation of life and cognition (e.g. dynamical systems theory, stochastic optimal control, Bayesian inference, etc.) Cognitive robotics Autopoiesis Life-mind continuity thesis Systems biology Origins-of-life theories with relationships to artificial and cognitive systems Animal-robot interaction Bio-inspired robotics Bio-integrated robotics Human-machine interaction Augmented cognition Sensory substitution Interactive evolutionary computation Artificial perception Important Dates 18th March 2020 ? Paper submission deadline 17th April 2020 ? Paper acceptance notification 17th May 2020 ? Camera-ready version 13th-18th 2020 ? Artificial Life conference (ALife), Montreal, Canada Paper Submission Papers and abstracts submitted to this special sessions will be reviewed by a selected group of experts from the ALife community as well as from other areas key to our proposal, specifically chosen for this review process. If you are submitting to a special session you will be given the opportunity to select it during the submission process. Submissions to special sessions follow the same format, instructions and deadlines of regular ALife papers. Organizers Manuel Baltieri, RIKEN Centre for Brain Science, Saitama, Japan Keisuke Suzuki, University of Sussex, Brighton, UK Hiroyuki IIzuka, Hokkaido University, Sapporo, Japan Olaf Witkowski, Cross Labs, Tokyo, Japan Lana Sinapayen, Sony Computer Science Laboratories, Tokyo, Japan Contacts For questions, enquiries and more information please check our website https://sites.google.com/view/hybrid-life-iii/ or get in touch with manuel.baltieri [at] riken.jp . All the best, -- Manuel Baltieri Postdoctoral Research Fellow Lab. for Neural Computation and Adaptation RIKEN CBS, Saitama, Japan www.manuelbaltieri.com Twitter: @manuelbaltieri -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.Qiu-1 at tudelft.nl Wed Mar 11 08:24:47 2020 From: S.Qiu-1 at tudelft.nl (Sihang Qiu - EWI) Date: Wed, 11 Mar 2020 12:24:47 +0000 Subject: Connectionists: Deadline Extension - ACM Hypertext 2020 Message-ID: * We apologize for cross-posting * The deadline for contributions to HT2020 has been extended to March 20. ACM HYPERTEXT 2020 ? HT2020 FOR SOCIAL GOOD 31st ACM Conference on Hypertext and Social Media (HT?20) July 13-15 2020 | Orlando, Florida, USA ############# CALL FOR PAPERS ############# Twitter: @ACMHT ? https://twitter.com/ACMHT Conference Site: http://ht.acm.org/ht2020 Hashtag: #ACMHT2020 Submit Online via EasyChair: https://easychair.org/conferences/?conf=ht2020 ------------------------------ IMPORTANT DATES ------------------------------ March 20 ? Paper deadline March 27 ? Papers assigned for review April 17 ? Review deadline April 24 ? Discussion deadline May 1 ? Paper notifications May 22 ? SIGWEB travel award deadline May 29th ? Camera ready deadline ----------------------- CONFERENCE SCOPE ----------------------- The ACM Hypertext conference is a premium venue for high quality peer-reviewed research on hypertext theory, systems and applications. It is concerned with all aspects of modern hypertext research including social media, semantic web, dynamic and computed hypertext and hypermedia as well as narrative systems and applications. The theme of Hypertext 2020 is ?HYPERTEXT for Social Good?. This motto of the 31st ACM Hypertext conference goes hand in hand with the growing importance of ensuring technological inventions and innovations have a positive impact on the users, as well as the society at large. We are particularly interested in work that is timely, activist, or community-centered. Hypertext 2019 turned some important stones to reunify different hypertext research directions and communities. Hypertext 2020 will proudly carry forward this aim. Hypertext 2020 will therefore consist of 4 different tracks that broadly appeal to interdisciplinary challenges. In addition to this, HT2020 will also host a Doctoral Consortium, and a Blue Sky Ideas track to facilitate the presentation and discussion of grand visions for the future of Hypertext systems. This is a perfect time to join in, reflect our common roots, and discuss how we can jointly address our current and future challenges. Hypertext 2020 is co-locating with the Electronic Literature Conference (ELO?20) organized in Orlando, Florida between July 13-15. The conference will take place at the downtown University of Central Florida campus, with hotel accommodations available next door to the conference venues. ----------------------- ORGANIZATION ----------------------- General Chairs: ? Anastasia Salter, University of Central Florida (@AnaSalter ? https://twitter.com/AnaSalter) ? John Barber, Washington State University Program Chair: ? Ujwal Gadiraju, Leibniz University of Hannover, DE (@UjLaw ? https://twitter.com/ujlaw) Local Arrangements Chair: ? Mel Stanfill, University of Central Florida (@melstanfill ? https://twitter.com/melstanfill) Publicity Co-Chairs: ? Bonnie Cross, University of Central Florida, USA (@bonniercross ? https://twitter.com/bonniercross) ? Sihang Qiu, Delft University of Technology, NL (@qiusihang ? https://twitter.com/qiusihang) Web Chair: ? Mike Shier, University of Central Florida, USA Proceedings Chair: ? John Murray, University of Central Florida (@lucidbard https://twitter.com/lucidbard) ---------------------------------------------- SUBMISSION CATEGORIES AND DEADLINES ---------------------------------------------- Papers must report new results substantiated by experimentation, simulation, analysis, or application. Authors are invited to submit papers presenting original, not previously published works. Art and creative work is also welcome as part of the exhibition/creative track. Submission categories include: SUBMISSION DEADLINE ?REGULAR?: 13 March 2020 ? Regular research papers (max 10 pages) discussing mature work. ? Short papers (max 5 pages) describing preliminary results of on-going work or novel thought-provoking ideas ? Doctoral consortium submissions (max 4 pages + CV) describing the work of the graduate student and a CV in order to provide some background information about the graduate student SUBMISSION DEADLINE ?LATE BREAKING/DEMOS/EXHIBITION?: 13 April 2019 ? Late breaking (max 2 pages, presented as poster) presenting innovative research ideas, or preliminary results. ? Demos (max 2 pages) presenting system prototypes or industry showcases. ? Exhibition or creative track submissions (max 2 pages) describing the proposed exhibition or creative work. Creative work is particularly encouraged to be web-based and engage with the theme of ?Changing Climates,? a call to engage the impact of hypertext and the responsibility of web creators and researchers in a time of climate change. Participants are welcome to submit creative work in absentia if coming from a country that currently makes travel unfeasible, in consultation with the chairs. Accepted submissions will appear in the Hypertext 2020 Conference Proceedings that will be published by ACM via the ACM Digital Library. Submissions should follow the ACM SIGCONF version of the master template and be anonymized for peer review. ---------------------------------------------- CONFERENCE MAIN TRACKS ---------------------------------------------- ### Hypertext Infrastructures and User Interfaces ### * Hypertext structure domains (e.g., node-link structures, spatial hypertext, taxonomic hypertext, argumentation structures) * Interaction devices used in combination with hypertext systems (e.g., VR glasses, smart whiteboards, mobile devices) * Interacting with hypertext * Visual analytics and hypertext * Data visualization and navigation * Conversational User Interfaces * Social Media Systems and Tools ### Hypertext Literature, Games, and Digital Humanities ### * Hyperfiction and storytelling * Gaming and gamification * Automated analysis of narratives * Automated story or (semantic) link generation * Hypertext and digital humanities * Digital journalism and citizen/collaborative news * Electronic literature * Hypermedia authoring * Interactive fiction and storytelling * Intelligent narratives * Theory of hypertext narratives * Hypertext and communication theory ### Web and Society ### * Fairness, Accountability, Transparency, Ethics in Web Search * Security, Privacy, & Trust * Bias in Web Search * Search as Learning * Computational Social Science * Human Computation & Crowdsourcing * Urban Data Science * Smart Cities * Health and Well-being Online * Affective Computing & Personal Health * Humanities, Arts, & Culture on the Web * Behavioral Monitoring & Change * Web Mining & Content Analysis ### Social Media Analysis & Recommender Systems ### * User Modeling & Personalization * Social Network Analysis * Credibility of Social Media Content * Opinion Mining * Bias, Filter Bubbles and Ethics of Personalized Services * Personalization and Recommendation for Social Good * Explainable Methods for Recommender Systems * Explainable Methods for Personalization * User Experience & Engagement * Preference Elicitation * Algorithmic Scalability & Performance * Conversational Recommender Systems ----------------------- BLUE SKY IDEAS TRACK ----------------------- The emphasis of this track is on visionary ideas, long-term challenges, and new research opportunities. This track is designed to overcome the constraints of the traditional review process, and will serve as an incubator for innovative approaches, risky and provocative ideas, and to propose challenges and opportunities in the near future. Submissions to this track are limited to a maximum of 4 pages. ----------------------- DOCTORAL CONSORTIUM ----------------------- PhD students (or in specific cases Master students) are encouraged to submit their ongoing research related to the broad scope of HT 2020. The goal of the Doctoral Consortium is to provide PhD students at different stages of their candidature, with an adequate platform to showcase their research, goals and receive feedback on their ongoing research. Students can use this opportunity within a dedicated session at the HT 2020 conference, to receive guidance on various aspects of their research from established researchers and other PhD students working in research areas related to the broad scope of HT 2020. From kristen.flaherty23 at gmail.com Wed Mar 11 10:07:09 2020 From: kristen.flaherty23 at gmail.com (Kristen Flaherty) Date: Wed, 11 Mar 2020 09:07:09 -0500 Subject: Connectionists: US CCDC Army Research Laboratory: Post-doc & Research Coordinator positions available Message-ID: To professional or aspiring researchers, A *postdoctoral scholar *and *full-time research coordinator* position are available to work on an DoD-funded study using multimodal neuroimaging to examine the neurobehavioral dynamics of decision making in teams. These are US CCDC Army Research Laboratory positions to work with a multidisciplinary team led by Dr. Nina Lauharatanahirun. Candidates will have the opportunity to work on an exciting multi-university initiative with academic partners at Carnegie Mellon University, University of Pittsburgh, Northwestern University, Northeastern University and Columbia University. The successful applicant will be actively involved in study design, neuroimaging protocol design and calibration, behavioral neuroimaging data collection and data analysis, and writing up manuscripts and publishing. *Interested individuals should submit applications via this link: * https://www.zintellect.com/Opportunity/Details/ARL-R-HRED-300047. Additional information about each position can be found in the attached job ads. Any questions regarding either of these positions can be directed to Dr. Lauharatanahirun at nina.lauharatanahirun.civ at mail.mil. Review of applications will begin immediately and will continue until the positions have been filled. Thank you, Nina Lauharatanahirun, PhD Postdoctoral Fellow *U.S. Army Research Laboratory*, HRED, Future Soldier Technologies Division, Integrated Capability Enhancement Branch Email: nina.lauharatanahirun.civ at mail.mil -------------- next part -------------- An HTML attachment was scrubbed... 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Name: ARL_ResearchCoordinator_ad_2.19.20 (1).pdf Type: application/pdf Size: 60727 bytes Desc: not available URL: From publicity at cikm2020.org Wed Mar 11 22:11:08 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Thu, 12 Mar 2020 10:11:08 +0800 Subject: Connectionists: CIKM 2020 - 3rd Call for Full and Short Research Papers Message-ID: *Apologies for cross-posting* **Important Note** We are currently monitoring the situation regarding COVID-19 and are assessing options of putting in place solutions for remote participation (including presentation/chairing) to the main conference and to workshops, should disruptions still occur in October. ** 3rd CALL FOR FULL AND SHORT RESEARCH PAPERS ** (CIKM 2020) Galway, Ireland, Oct. 19th-23rd, 2020 https://cikm2020.org/call-for-papers Important Dates Full and Short Paper Abstract Submission Deadline:* April 24, 2020* Full and Short Paper Submission Deadline: May 1, 2020 Full and Short Paper Acceptance Notification: July 3, 2020 Full and Short Research Paper Camera Ready Submission Deadline: August 14, 2020 Anywhere on Earth time 2020 Theme: Data and knowledge for the next generation: sustainability, transparency, and fairness The Conference on Information and Knowledge Management (CIKM) is a key event for the international academic, business and government communities to discuss research on information retrieval, data science, and knowledge management. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. Topics of Interest We encourage submissions of high-quality research papers on all topics in the general areas of artificial intelligence, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: - Data and information acquisition and preprocessing (e.g., data crawling, data quality, data privacy, mitigating biases, and data wrangling) - Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, (knowledge) graphs, data warehousing, privacy and security, modeling, information credibility) - Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customised hardware) - Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, and interpretability) - Neural Information and knowledge processing (e.g. graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) - Information access and retrieval (e.g., facets and entities, web search, question answering, and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) - Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) - Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) - Data presentation (e.g., visualization, summarization, readability, understandability, transparency, VR, speech input and output) - Users and interfaces for information and data systems (e.g., user behaviour analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) - Crowdsourcing (e.g. task assignment, worker reliability, optimisation, trustworthiness, transparency, best practices) - Comparative evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices) Check our sponsorship options for an opportunity to reach out to the experts in the domain! 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URL: From marcin at amu.edu.pl Thu Mar 12 06:11:46 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Thu, 12 Mar 2020 11:11:46 +0100 Subject: Connectionists: Call for Papers, Track 1: Artificial Intelligence, FedCSIS 2020 In-Reply-To: References: Message-ID: <25242099-c684-11d9-a84b-6e1601b8fae4@amu.edu.pl> Call for Papers Track 1: Artificial Intelligence within 2020 Federated Conference on Computer Science and Information Systems (FedCSIS'20) https://fedcsis.org/2020/ai Sofia, Bulgaria, 06-09 September 2020 FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE Our track includes the following technical sessions: AAIA'20 - 15th International Symposium on Advances in Artificial Intelligence and Applications https://fedcsis.org/2020/aaia AAIA'20 TOPICS: -- Decision Support -- Machine Learning -- Fuzzy Sets and Soft Computing -- Rough Sets and Approximate Reasoning -- Data Mining and Knowledge Discovery -- Data Modeling and Feature Engineering -- Data Integration and Information Fusion -- Hybrid and Hierarchical Intelligent Systems -- Neural Networks and Deep Learning -- Bayesian Networks and Bayesian Reasoning -- Case-based Reasoning and Similarity -- Web Mining and Social Networks -- AI in Business Intelligence and Online Analytics -- AI in Robotics and Cyber-Physical Systems -- AI-centered Systems and Large-Scale Applications ASIR?20 - 9th International Workshop on Advances in Semantic Information Retrieval https://fedcsis.org/2020/asir ASIR?20 TOPICS: -- Data analytics. -- Data-driven decision making. -- Domain-specific semantic applications. -- Evaluation methodologies for semantic search and retrieval. -- Knowledge representation and management. -- Models for document representation. -- Natural language semantic processing. -- Ontology for semantic information retrieval. -- Ontology alignment, mapping and merging. -- Query interfaces. -- Searching and ranking. -- Semantic multimedia retrieval. -- Visualization of retrieved results. FVRM'20 - 1st Symposium on Formal Approaches to Vagueness in Relation to Mereology https://fedcsis.org/2020/fvrm FVRM'20 TOPICS: -- Applications of Mereology and Vagueness, -- Granular Mereo-Classifiers, -- Mereo-ontologies: Comparison, -- Critical Evaluation of Spatial Mereology (Mereotopology), -- Rough Mereotopologies, -- Rough Mereology in Engineering (Assembling, Design, etc), -- Descriptive Proximity and Point-free applications Mereology in Robotics, -- Intelligent Navigation/Planning, -- Imaging, Intelligent Image Analysis, -- Mathematical Morphology and Mereology, -- Applications of Non-transitive Parthood and Granularity in Areas such as Taxonomy, -- Medical Diagnosis, and Imaging (histology, etc), -- Mereology and Fuzzy Sets in Physics, -- Regions as Pluralities, -- Related Ontologies, -- Theories of Knowledge, -- Knowledge Consistency, -- Applications of Knowledge Based Methods involving Mereology Related Situation Logics, -- Ontology, -- Domain Science Point-Free Geometry, -- Geometric Logic, -- Qualitative Space, -- Whitehead-Gerla Approach Hybrid Approaches, -- Novel Applications, -- RCC, and Related Topics. LTA'20 - 5th International Workshop on Language Technologies and Applications https://fedcsis.org/2020/lta LTA'20 TOPICS: -- Computational Intelligence methods applied to language & text processing -- text analysis -- language networks -- text classification -- language networks, resources and corpora -- document clustering -- various forms of text recognition -- machine translation -- intelligent text-to-speech (TTS) and speech-to-text (STT) methods -- authorship identification and verification -- author profiling -- plagiarism detection -- sentiment analysis -- NLP applications in education -- knowledge extraction and retrieval from text and natural language structures -- multi-modal and natural language interfaces -- innovative language-oriented applications and tools -- interactions models and applications via Virtual Reality and Augmented Reality -- NLP for text analysis in forensic linguistics and cybersecurity WCO'20 - 13th International Workshop on Computational Optimization https://fedcsis.org/2020/wco WCO'20 TOPICS: -- combinatorial and continuous global optimization -- unconstrained and constrained optimization -- multiobjective and robust optimization -- optimization in dynamic and/or noisy environments -- optimization on graphs -- large-scale optimization, in parallel and distributed computational environments -- meta-heuristics for optimization, nature-inspired approaches and any other derivative-free methods -- exact/heuristic hybrid methods, involving natural computing techniques and other global and local optimization methods -- numerical and heuristic methods for modeling FedCSIS'20 KEYNOTE SPEAKERS (to be extended): -- Christian Blum (Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain) -- George Boustras (European University, Cyprus) -- Hans-Georg Fill (University of Fribourg, Switzerland) PAPER PUBLICATION: Preprints will be published on USB memory sticks provided to the FedCSIS'20 participants. Papers presented during FedCSIS'20 will be submitted to IEEE for inclusion in the Xplore Digital Library under a nonexclusive copyright, thus further publication of extended papers are possible. Moreover, proceedings published in a volume with ISBN, ISSN and DOI numbers will be posted at FedCSIS WWW site. IMPORTANT DATES: -- Regular paper submission: May 15, 2020 (fixed - no extensions) -- Position paper submission:June 9, 2020 (with option of regular paper submission - if discussed with chairs) -- Acceptance notification: June 30, 2020 -- Final paper submission and author registration: July 15, 2020 -- Conference dates: September 6-9, 2020 Please forward this announcement to your colleagues and associates who could be interested in it. CHAIRS OF THE AI TRACK Dominik Slezak & Stan Matwin -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From o.zinchenko at hse.ru Thu Mar 12 06:30:32 2020 From: o.zinchenko at hse.ru (Zinchenko Oksana) Date: Thu, 12 Mar 2020 10:30:32 +0000 Subject: Connectionists: Master's Program 'Cognitive Sciences and Technologies: From Neuron to Cognition' is accepting applications for academic year 2020-2021 Message-ID: Dear all, We would like to announce that our Master?s Program 'Cognitive Sciences and Technologies: From Neuron to Cognition' is currently accepting applications for new academic year 2020-2021 (National Research University Higher School of Economics, Moscow, Russian Federation). Please share this information with interested students. Our research-driven program explores cognitive psychology, cognitive neuroscience, and neuro-modelling. Taught in close cooperation with the ?cole Normale Sup?rieure and Aarhus University, the program combines lectures with practical training at prominent laboratories in Moscow and at international partner institutions. Graduates work in international research laboratories and centers, at private companies focusing on user interface optimization and evaluation projects, as well as at universities and schools. They are also involved with projects on brain-computer interface development and clinical application, including pre-surgery brain mapping, neuromarketing, and usability research. Our students work in research facilities to learn state-of-the-art methods like functional magnetic resonance imaging (fMRI), magneto- and electroencephalography (MEG, EEG), transcranial magnetic (TMS) and electrical (TES) stimulation, eye-tracking and other. Tuition-free places are available: all applications sent before 31st of May will be considered. Financial aid (i.e. discounts) is also available (https://admissions.hse.ru/en/graduate-apply/financial-aid). To apply, please use this link: http://asav.hse.ru/applyma.html#en Final application deadline is August, 14th, 2020. More information about the program: https://www.hse.ru/en/ma/cogito If you have any questions, contact us by email: cogito at hse.ru -------------- next part -------------- An HTML attachment was scrubbed... URL: From blink.yu at mdpi.com Thu Mar 12 07:30:54 2020 From: blink.yu at mdpi.com (Blink Yu) Date: Thu, 12 Mar 2020 19:30:54 +0800 Subject: Connectionists: Nomination and Application due 1 June for MDPI Computers Travel Award 2020 Message-ID: <5628f152-ed72-cd2e-667c-080e7b8dc061@mdpi.com> *** 2020 MDPI Computers Travel Award *** We are pleased to announce that the application period is now open for the Computers Travel Award 2020. The applications will be assessed by an Evaluation Committee chaired by the Editor-in-Chief of Computers. This prize provides financial support for the winner to attend an international conference in the field of computer science & engineering to be held in 2020 in order to hold a presentation, present a poster, or both. Requirements: ? Applicants must be postdoctoral fellows or PhD students involved in computer science, broadly defined as any discipline covered within Computers. Required application documents: ? Outline of current and future research; ? CV, including a complete list of publications; ? Details of the conference to be attended (conference name and website) and an abstract of the work that will be presented; ? Letter of recommendation from the supervisor, research director, or department head that confirms the applicant?s status as a postdoctoral fellow/Ph.D. student. The award will be 800 CHF for each winner, with two winners in total. Please apply by clicking the link below before 1 June, 2020. The winners will be announced on 30 June, 2020. https://www.mdpi.com/journal/computers/awards/submit/876 Kind regards, Computers Editorial Office -- Mr. Blink Yu Managing Editor E-Mail: blink.yu at mdpi.com Skype: live:c91693ac8277e1f0 -- MDPI Wuhan Office No.6 Jingan Road, 430064 Wuhan, China MDPI Postfach, CH-4020 Basel, Switzerland http://www.mdpi.com -- Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone. From eric.postma at gmail.com Fri Mar 13 05:55:17 2020 From: eric.postma at gmail.com (Eric Postma) Date: Fri, 13 Mar 2020 10:55:17 +0100 Subject: Connectionists: Postdoctoral Position in Computer Vision and Machine Learning Applied to Art Authentication Message-ID: The Cognitive Science & AI department at Tilburg University and the Zurich based startup Art Recognition AG invite applications for a 2-year postdoctoral position funded from the Eurostars-2 joint program with co-funding from the European Union Horizon 2020 research and innovation program. AI methods represent a quantifiable scientific alternative to the traditional art authentication methods. To improve the prototype and make it commercially viable, Art Recognition has partnered up with the Cognitive Science & AI Department (CSAI) at Tilburg University (the Netherlands) which already has extensive experience with using computer vision/AI methods in the artistic context. CSAI performs computational research in the domains of Artificial Intelligence and Cognitive Science and runs educational programs on Cognitive Science & Artificial Intelligence and Data Science and Society. The rapid expansion of our programs offers opportunities for young researchers to contribute to our program and to set up and expand their own research. The selected candidate will contribute to the development of next generation AI algorithm applied to art authentication. The candidate will be hosted in the CSAI department at Tilburg University and will occasionally travel to Zurich. *Required qualifications* - Recently acquired Ph.D. in computer science or a quantitative discipline; - Experience in Deep Learning algorithms; - Proficient with using python and relevant platforms (e.g., Tensorflow); - Strong track record of research publications in top tier conferences and journals; - Interest in working at the frontier of data science and art; - Good communication skills and ability to cooperate. *Information and application* Interested candidates can apply here: https://www.tiu.nu/16669. Additional project information can be provided on request by contacting the project leaders, Eric Postma (E.O.Postma at tilburguniversity.edu) or Carina Popovici (carina at art-recognition.com). -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Thu Mar 12 11:46:06 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Thu, 12 Mar 2020 16:46:06 +0100 Subject: Connectionists: [CfP] ICLP 2020 - Special Session: Women in Logic Programming Message-ID: <42b2c828-b2bb-3267-892c-46779fabbf71@uniss.it> [Apologies for cross-posting] *IMPORTANT NOTE: We are continuously monitoring the COVID-19 situation from local authorities and the World Health Organization. ICLP 2020 is half a year away, and we are confident that COVID-19 emergency will pass ?over and the conference will be held in September, as planned. And, if necessary, alternative solutions, such as postponement, remote presentations, etc will be looked into and identified.* *** Call for Papers - Special Session: Women in Logic Programming *** ???????????????????????????? ICLP 2020 ???????? The 36th International Conference on Logic Programming ?????????????????? September 18 - September 24, 2020 ????????????????? University of Calabria, Rende, Italy ???????????????????? https://iclp2020.unical.it This special session aims to increase the visibility and impact of women in LP, fostering awareness of one another?s work. To have good role models is very important for female students and this session is an opportunity to celebrate women?s work in the community. We hope this will be particularly attractive to early-career women. The session will include one or two invited talks and presentations by women in logic programming. Contributions are solicited in all areas of logic programming and related areas, with a special focus on applications that are beneficial to society in the large, and to the role of women in society in particular. Any (female) student willing to participate to ICLP can submit their application? on the site: https://women.acm.org/scholarships/ Submission Process: =================== The submissions to this special session must be made via the EasyChair conference system (https://easychair.org/my/conference?conf=iclp20200). All submissions must be written in English and co-authored by at least one woman. Authors should select the right track when submitting. Two types of submissions are invited: Regular and short. ? Regular papers must be in the condensed TPLP format (template here) and ? not exceed 14 pages including bibliography. Regular papers may be ? supplemented with appendices for proofs and details of datasets which do ? not count towards the page limit and which will not be made available as ? appendices to the published paper. ? Short papers (7 pages in EPTCS format (http://info.eptcs.org/), including ? references) can describe original preliminary work or express a position ? on the special focus of the session. The accepted short papers will be ? published as Technical Communications, along with the selected ICLP-TC ? papers. All TCs will be presented during the conference, preferably by women. Authors of accepted papers will, by default, be automatically included in the list of ALP members, who will receive quarterly updates from the Logic Programming Newsletter at no cost. Keynote Speakers: ================= To be announced. Important Dates: ================ Abstract registration (regular papers): May 8, 2020 Paper submission (regular paper): May 15, 2020 Notification to authors (regular paper): June 19, 2020 Paper Submission (short papers): June 30, 2020 Revision submission (TPLP papers): July 6, 2020 Final notifications (TPLP papers): July 17, 2020 Camera-ready copy due: July 27, 2020 Main Conference starts: September 19, 2020 Special Session: Women in Logic Programming Chairs: =================================================== Francesca Alessandra Lisi, University of Bari Aldo Moro Alessandra Mileo, INSIGHT Centre for Data Analytics, Dublin City University -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From zapotocky at biomed.cas.cz Thu Mar 12 19:10:38 2020 From: zapotocky at biomed.cas.cz (Martin Zapotocky) Date: Fri, 13 Mar 2020 00:10:38 +0100 Subject: Connectionists: CNS*2020 Melbourne: Meeting Updates and Deadline Extensions Message-ID: Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA* Meeting Update* *29th Annual Computational Neuroscience Meeting (CNS*2020)* Melbourne, Australia July 18--22, 2020 https://www.cnsorg.org/cns-2020-quick In response to the rapidly evolving COVID-19 situation in many countries, the previously announced deadlines are extended as follows: *Deadline for submission of abstracts*, in case *oral presentation or travel award* is requested: *April 29* *Deadline for submission of abstracts*, in case *poster presentation* is requested: *May 6* *Deadline for travel award applications* (main meeting): *April 29* Expected date of notification of abstract acceptance: May 13 Expected date of notification of oral presentation: May 27 Expected date of notification of travel award: May 27 *An update on the expected size of the meeting*: As of March 12, we have received 170 registrations for CNS*2020. This indicates a meeting with approximately *300 participants*, going by the registration patterns from previous years. We consider it likely that the final number of participants will exceed this estimate, provided the current travel uncertainties resolve. We understand that this is a fluid situation and will continue to update the membership. In case travel bans are not lifted in time for the meeting or in time for visas to be approved, OCNS will provide full registration refunds to affected members. For presenters unable to attend CNS*2020 due to a COVID-19 travel ban, we will make every effort to facilitate your remote participation in the meeting. For up-to-date information, please followhttps://www.cnsorg.org/cns-2020-covid-19-updates -- Martin Zapotocky, Ph.D. Institute of Physiology, Czech Academy of Sciences Videnska 1083 14220 Prague 4, Czech Republic URL:www.biomed.cas.cz/~zapotocky Tel: +420-241-062-708 Email:zapotocky at biomed.cas.cz Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences. -------------- next part -------------- An HTML attachment was scrubbed... URL: From acmicmi.publicity at gmail.com Fri Mar 13 15:37:40 2020 From: acmicmi.publicity at gmail.com (acmicmi publicity) Date: Fri, 13 Mar 2020 20:37:40 +0100 Subject: Connectionists: ICMI 2020: First Call for Demonstrations and Exhibits Message-ID: ******************************************************* ICMI 2020: First Call for Demonstrations and Exhibits http://icmi.acm.org/2020/index.php?id=cfd 25-29 Oct 2020, Utrecht, The Netherlands ******************************************************* We invite you to submit your proposals for demonstrations and exhibits to be held during the 22nd ACM International Conference on Multimodal Interaction (ICMI 2020), located in Utrecht, the Netherlands, October 25-29th, 2020. This year?s conference theme: In this information age, technological innovation is at the core of our lives and rapidly transforming and impacting the state of the world in art, culture, and society, and science as well - the borders between classical disciplines such as humanities and computer science are fading. In particular, we wonder how multimodal processing of human behavioural data can create meaningful impact in art, culture, and society practices. And vice versa, how does art, culture, and society influence our approaches and techniques in multimodal processing? As such, this year, ICMI welcomes contributions on our theme for Multimodal processing and representation of Human Behaviour in Art, Culture, and Society. Demonstrations and Exhibits The ICMI 2020 Demonstrations & Exhibits session is intended to provide a forum to showcase innovative implementations, systems and technologies demonstrating new ideas about interactive multimodal interfaces. It can also serve to introduce commercial products. Proposals may be of two types: demonstrations or exhibits. The main difference is that demonstrations include a 1-2 page paper, which will be included in the ICMI main proceedings, while the exhibits only need to include a brief outline (no more than one page; not included in ICMI proceedings). We encourage both the submission of early research prototypes and interesting mature systems. In addition, authors of accepted regular research papers may be invited to participate in the demonstration sessions as well. Demonstration Submission Please submit a 1-2 page description of the demonstration through the main ICMI conference management system ( https://new.precisionconference.com/sigchi). Demonstration description(s) must be in PDF format, according to the ACM conference format, of no more than 2 pages in length including references (submission format: http://icmi.acm.org/2020/index.php?id=authors). Demonstration proposals should include a description with photographs and/or screen captures of the demonstration and, where possible, a video of the proposed demo should accompany the submission (no larger than 200MB). The demo and exhibit paper submissions are not anonymous. However, all ACM rules and guidelines related to paper submission should be followed (e.g. plagiarism, including self-plagiarism). The demonstration submissions will be peer reviewed, according to the following criteria: suitability as a demo, scientific or engineering feasibility of the proposed demo system, application, or interactivity, alignment with the conference focus, potential to engage the audience, and overall quality and presentation of the written proposal. Authors are encouraged to address such criteria in their proposals (paper submission), along with preparing the short papers mindful of the quality and rigorous scientific expectations of an ACM publication. The demo program will include the accepted proposals and may additionally include invited demos from among full-length papers accepted for presentation at the conference. Please note that the accepted descriptions will be included in the ICMI main proceedings. *Exhibit Submission* Exhibit proposals should be submitted following the same guidelines, formatting, and due dates as for demonstration proposals. Exhibit proposals must be shorter in length (up to one page) and more suitable for mature systems. Exhibits will not have a paper published in the ICMI 2020 proceedings. *Attendance* At least one author of all accepted Demonstrations and Exhibits submissions must register for and attend the conference, including the conference demonstrations and exhibits session(s). *Important Dates* - *Submission of demo and exhibit proposals July 17, 2020* - Demo and exhibit notification of acceptance July 31, 2020 - Submission of demo final papers August 17, 2020 *Questions?* For further questions, contact the Demonstrations and Exhibits co-chairs: Zakia Hammal (Zakia_Hammal at yahoo.fr) and Dominique Vaufreydaz ( Dominique at research.vaufreydaz.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From bariscancam at gmail.com Sat Mar 14 07:22:36 2020 From: bariscancam at gmail.com (=?UTF-8?B?QmFyxLHFnyBDYW4gw4dhbQ==?=) Date: Sat, 14 Mar 2020 14:22:36 +0300 Subject: Connectionists: Call for Papers-ECCV Workshop on Imbalance Problems in Computer Vision (IPCV) Message-ID: Hi, We are organizing a workshop on imbalance problems in computer vision in ECCV 2020. Details are provided below, **ECCV Workshop on Imbalance Problems in Computer Vision (IPCV)** 28 August 2020, Glasgow https://sites.google.com/view/ipcv2020/ **Dates:** Paper submission: 7 July 2020 Notification: 28 July 2020 Camera ready: 7 August 2020 Workshop: 28 August 2020 **Workshop Theme and Scope** Performance of learning-based methods is adversely affected by imbalance problems at various levels, including the input, intermediate or mid-level stages of the processing or the objectives to be optimized in a multi-task setting. Currently, researchers tend to address these challenges in their particular context with problem-specific solutions and with limited awareness of the solutions proposed for similar challenges in other computer vision problems. Imbalance problems can arise in almost all computer vision problems and therefore, the workshop is highly relevant and interesting for a broad community. A recent, comprehensive review paper on imbalance problems in object detection (IEEE TPAMI, 2020; preprint: https://arxiv.org/abs/1909.00169) cites over 200 papers which were written by 655 unique authors. We interpret these numbers (which are specific to just one computer vision task, namely, object detection) as strong indicators of interest in imbalance problems. We invite contributions for (i) the dissemination of approaches developed in individual problems, as well as (ii) discussing commonalities between these approaches for developing better and more general solutions for addressing imbalance problems in computer vision. **Paper Submission** Paper template and length: Please follow ECCV2020 format and guidelines. Submission link: https://openreview.net/group?id=thecvf.com/ECCV/2020/Workshop/IPCV **Proceedings:** Accepted papers will be included in ECCV2020 Workshop Proceedings. **Presentation Information** All accepted papers will have a spotlight presentation followed by a poster session. **Organizers** Sinan Kalkan, University of Cambridge; Middle East Technical University Emre Akbas, Middle East Technical University Nuno Vasconcelos, University of California San Diego Baris Can Cam, Middle East Technical University Kemal Oksuz, Middle East Technical University Baris -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Fri Mar 13 17:55:24 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 13 Mar 2020 21:55:24 +0000 Subject: Connectionists: SBP-BRiMS'2020: Message from Conference Chair on the Coronavirus In-Reply-To: References: , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies Dear SBP-BRiMS community, I am sure you are all wondering if SBP-BRiMS 2020 (http://sbp-brims.org/) will still occur or be changed in some way given the COVID-19 pandemic. At this point, we still plan to hold an in person meeting in July. However, the organizing committee is monitoring the situation closely. We are also in consultation with organizers of other conferences to make sure we are considering all of the relevant issues. More information is coming out from the CDC and WHO regularly, that we are also considering. Should we decide that it is in the community?s best health interest to cancel, or go to an on-line meeting, we will let you know. We will send out regular updates. Sincerely and with all due respect, Kathleen M. Carley Professor, Carnegie Mellon University, PA, USA SBP-BRIMS Conference Co-Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From aurel at ee.columbia.edu Sat Mar 14 12:29:49 2020 From: aurel at ee.columbia.edu (Aurel A. Lazar) Date: Sat, 14 Mar 2020 12:29:49 -0400 Subject: Connectionists: Zoom Webinar of the Columbia Workshop on Brain Circuits, Memory and Computation, March 16-17, 2020 In-Reply-To: References: Message-ID: <6E68A570-7D04-4A76-8D0C-3019BA344995@ee.columbia.edu> Due to the COVID-19 emergency, the Columbia Workshop on Brain Circuits, Memory and Computation will be hosted as a virtual workshop using Zoom Webinar. Registration instructions and the modified schedule are available at http://fruitflybrain.org/workshops. Aurel http://www.bionet.ee.columbia.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Sat Mar 14 22:41:30 2020 From: suashdeb at gmail.com (Suash Deb) Date: Sun, 15 Mar 2020 08:11:30 +0530 Subject: Connectionists: 2020 ISCMI (Stockholm, IEEE Sweden Section, IEEE Comput Intel Society & IFSA technical cosponsors) Message-ID: Dear esteemed colleagues, Warm greetings from India. Hope all is well. Pls. take care. This is about lSCMl, the annual flagship event of llCCl http://www.iicci.in/ The same is held annually (w.e.f. 2017) in memory of life & work of Prof. Lotfi Zadeh *2020* *ISCMI *would be held in *Stockholm, Sweden (14th-15th Nov, 2020)* http://iscmi.us/index.html *IEEE Sweden Section, IEEE Computational Intelligence Society & **IFSA* are the *technical co sponsors* for the same. A leaflet of the same is attached. Apart from the lEEE published proceedings & uploading of the same at Xplore, scope of a selected subset of papers for being considered for publications at the NCAA journal (a Springer publications https://www.springer.com/journal/521) also exist. You are warmly invited to submit your research findings for this conference. Hope to welcome many of you in Stockholm this year. Thanks so much & kind rgds, Suash (Prof. Suash Deb) General Chair, ISCMI20 (Stockholm, Sweden) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ISCMI2020-leaflet.pdf Type: application/pdf Size: 2976876 bytes Desc: not available URL: From cgf at isep.ipp.pt Sat Mar 14 16:04:11 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Sat, 14 Mar 2020 20:04:11 +0000 Subject: Connectionists: CFP: Special Issue on Foundations of Data Science - Machine Learning Journal Message-ID: <7311e89b-bca8-7911-6030-660ded979ae9@isep.ipp.pt> Special Issue on Foundations of Data Science - Machine Learning Journal Data science is currently a very active topic with an extensive scope, both in terms of theory and applications. Machine Learning is one of its core foundational pillars. Simultaneously, Data Science applications provide important challenges that can often be addressed only with innovative Machine Learning algorithms and methodologies. This special issue focuses on the latest developments in Machine Learning foundations of data science, as well as on the synergy between data science and machine learning. We welcome new developments in statistics, mathematics and computing that are relevant for data science from a machine learning perspective, including foundations, systems, innovative applications and other research contributions related to the overall design of machine learning and models and algorithms that are relevant for data science. Theoretically well-founded contributions and their real-world applications in laying new foundations for machine learning and data science are welcome. This special issue solicits the attention of a broad research audience. Since it brings together a variety of foundational issues and real-world best practices, it is also relevant to practitioners and engineers interested in machine learning and data science. Accepted papers will be presented at the IEEE DSAA conference in Porto, October 2021. --------------------------------------------------------- Topics of Interest --------------------------------------------------------- We welcome original research papers on all aspects of data science in relation to machine learning, including the following topics: *Machine Learning Foundations of Data Science Auto-ML Fusion of information from disparate sources Feature engineering, Feature embedding and data preprocessing Learning from network data Learning from data with domain knowledge Reinforcement learning Evaluation of Data Science systems Risk analysis Causality, learning causal models Multiple inputs and outputs: multi-instance, multi-label, multi-target Semi-supervised and weakly supervised learning Data streaming and online learning Deep Learning *Emerging Applications Autonomous systems Analysis of Evolving Social Networks Embedding methods for Graph Mining Online Recommender Systems Augmented Reality, Computer Vision Real-Time Anomaly, Failure, image manipulation and fake detection *Human Centric Data Science Privacy preserving, Ethics, Transparency Fairness, Explainability, and Algorithm Bias Accountability and responsibility Reproducibility, replicability and retractability Green Data Sciences *Infrastructures IoT data analytics and Big Data Large-scale processing and distributed/parallel computing; Cloud computing *Data Science for the Next Digital Frontier in: Telecommunications and 5G Retail, Green Transportation Finance, Blockchains, Cryptocurrencies Manufacturing, Predictive Maintenance, Industry 4.0 Energy, Smart Grids, Renewable energies Climate change and sustainable environment Contributions must contain new, unpublished, original and fundamental work relating to the Machine Learning journal?s mission. All submissions will be reviewed using rigorous scientific criteria whereby the novelty of the contribution will be crucial. --------------------------------------------------------- Submission Instructions -------------------------------------------------------- Submit manuscripts to: http://MACH.edmgr.com. Select ?SI: Foundations of Data Science? as the article type. Papers must be prepared in accordance with the Journal guidelines: https://www.springer.com/journal/10994 Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals. All papers will be reviewed following standard reviewing procedures for the Journal. --------------------------------------------------------- Key Dates --------------------------------------------------------- Continuous submission/review process Cutoff dates: 30 September, 30 December and 1st March Last paper submission deadline: 1 March 2021 Paper acceptance: 1 June 2021 Camera-ready: 15 June 2021 --------------------------------------------------------- Guest Editors --------------------------------------------------------- Al?pio Jorge, University of Porto, Jo?o Gama, University of Porto Salvador Garc?a, University of Granada Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From riccardo.guidotti at unipi.it Sun Mar 15 08:26:32 2020 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Sun, 15 Mar 2020 13:26:32 +0100 Subject: Connectionists: IEEE DSAA'2020 CALL FOR INDUSTRY & STUDENT POSTERS Message-ID: ====================================================================== IEEE DSAA'2020 CALL FOR INDUSTRY & STUDENT POSTERS 06-09 Oct. 2020 Sydney, Australia dsaa2020.dsaa.co ====================================================================== Important Dates -------------------------------------------------------------------------------------- * Industry and Student Poster Submission Due: 3 Jul. 2020 * Industry and Student Poster Notification: 26 Jul. 2020 * Industry and Student Poster Camera Ready Due: 9 Aug. 2020 Highlights of IEEE DSAA'2020 -------------------------------------------------------------------------------------- * Strong Research track and Applications track. * Student Poster and Industry Poster sessions with lightning results highlighting student?s research advances and industry?s best practices. * One-day Industry Day with Data Science School for business. * Special sessions on the foundations and emerging areas for data science. * Special panel on the trends and controversies of data science and analytics. * A strong interdisciplinary research program spanning the areas of data science, including statistics, machine learning, computing, and analytics. * Strong cross-domain interactions among researchers and industry and government policy-makers and practitioners. * Industry and research exhibits. * Financially sponsored by IEEE CIS, proceedings by IEEE Xplore and EI indexed. * Technically supported by ACM SIGKDD and ASA. Precaution of COVID-19 ---------------------------------------------------------------------------- Due to ongoing uncertainty about future travel due to COVID-19, DSAA-20 commits to allowing video presentations of accepted papers by authors who are unable to attend due to COVID-19 travel restrictions. About IEEE DSAA'2020 -------------------------------------------------------------------------------------- The IEEE International Conference on Data Science and Advanced Analytics (DSAA) features its strong interdisciplinary synergy between statistics (via ASA), computing and information/intelligence sciences (IEEE and ACM), and cross-domain interactions between academia and business for data science and analytics. DSAA sets up a high standard for its organizing committee, keynote speeches, submissions to main conference and special sessions, and a competitive rate for paper acceptance. DSAA has been widely recognized as a dedicated flagship in data science and analytics such as by the Google Metrics and China Computer Foundation as an influential event in the area. The 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA?2020) will provide a premier forum that brings together researchers, industry and government practitioners, as well as developers and users in statistics, computing science, and intelligence science for the exchange of the latest theoretical developments in Data Science and Analytics and the best practice for a wide range of applications. The conference invites submission of papers describing innovative research on all aspects of data science and advanced analytics as well as application-oriented papers that make significant, original, and reproducible contributions to improving the practice of data science and analytics in real-world scenarios. DSAA?2020 is a dual-track conference consisting of a Research Track and an Research Track. DSAA?2020 will also feature a peer-reviewed Student Poster session and an Industry Poster session, whose purpose is to showcase recent and early-stage research developments on topics that are of interest to students and industry/government practitioners in data science and analytics. Industry Poster --------------------------------------------------------------------------------------- DSAA?2020 will feature a peer-reviewed Industry Poster session to showcase state-of-the-art and early-stage research developments by industry, government and NGO policy-makers and practitioners in data science and analytics on topics that are of interest to either the research or the application of data science and analytics. The Industry Poster caters for the industry preference of sharing the case studies, experience and lessons, and insights and impacts without a full-length presentation as for the main conference. All accepted poster papers will be presented in the Industry Poster sessions, specifications for preparing the posters for presenting at the conference poster sessions will be given separately, please check the DSAA'2020 for update. Student Poster --------------------------------------------------------------------------------------- DSAA?2020 will feature a peer-reviewed Student Poster session to showcase state-of-the-art and early-stage research developments by students in data science and analytics disciplines on topics that are of interest to either the research or the application of data science and analytics. All accepted poster papers will be presented in the Student Poster sessions, specifications for preparing the posters for presenting at the conference poster sessions will be given separately, please check the DSAA'2020 for update. Poster Submission Formatting, Length, and Double-blind Reviewing --------------------------------------------------------------------------------------- The length for both Industry Poster and Student Poster papers is a maximum of two (2) pages. The format for both Poster papers is the standard 2-column U.S. letter style IEEE Conference template. See the IEEE Proceedings Author Guidelines: https://www.ieee.org/conferences/publishing/templates.html for further information and instructions. All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference?s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews. Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA?2020. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to DSAA?2020 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper?s title and abstract are different from the one appearing in arXiv. Papers that appear in arXiv from the DSAA?2020 submission deadline until the review process has ended, are not allowed. Proceedings, Indexing and Special Issues --------------------------------------------------------------------------------------- All accepted poster papers will be published by IEEE in the DSAA main conference proceedings under the Industry and Student Poster schemes. All accepted poster papers will be submitted for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Submission --------------------------------------------------------------------------------------- Submissions to the DSAA?2020 Industry/Student Poster track are available from Easy Chair (https://easychair.org/conferences/?conf=dsaa2020) by choosing the Industry or Student Poster Track. Important Policies --------------------------------------------------------------------------------------- Reproducibility & supplementary: The advancement of data science depends heavily on reproducibility. We strongly recommend that the authors release their code and data to the public. Authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file and start on page 11). This supplement can only be used to include (i) information necessary for reproducing the experimental results reported in the paper (e.g., various algorithmic and model parameters and configurations, hyper-parameter search spaces, details related to dataset filtering and train/test splits, software versions, detailed hardware configuration, etc.), and (ii) any data, pseudo-code and proofs that due to space limitations, could not be included in the main manuscript. Papers entering into the Best Application Paper awards must show solid evidence for reproducibility. Authorship: The list of authors at the time of submission is final and cannot be changed. Dual submissions: DSAA is an archival publication venue as such submissions that have been previously published, accepted, or are currently under-review at peer-review publication venues (i.e., journals, conferences, workshops with published proceedings, etc.) are not permitted. DSAA has a strict no dual submission policy. Conflicts of interest (COI): COIs must be declared at the time of submission. COIs include employment at the same institution at the time of submission or in the past three years, collaborations during the past three years, advisor/advisee relationships, plus family and close friends. Program chairs, poster chairs, special session chairs and tutorial chairs are not allowed to submit proposals to their managed tracks and sessions. Attendance: At least one author of each accepted paper must register in full and attend the conference to present the paper. No-show papers will be removed from the IEEE Xplore proceedings. Enquiries --------------------------------------------------------------------------------------- General enquiries about Industry or Student Poster paper submissions should be submitted to ipc_dsaa20 at dsaa.co or spc_dsaa20 at dsaa.co -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at di.unipi.it Web: http://kdd.isti.cnr.it/homes/guidotti/ KDD Lab, Room: 286 Phone: +39 050 221 3134 -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Sun Mar 15 08:48:53 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Sun, 15 Mar 2020 13:48:53 +0100 Subject: Connectionists: CFP: CVPR 2020 New Trends in Image Restoration and Enhancement (NTIRE) workshop [Deadline extended March 22] Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 9 CHALLENGES NTIRE: 5th New Trends in Image Restoration and Enhancement workshop and challenges on real world super-resolution, extreme SR, denoising, demoireing, deblurring, spectral reconstruction, quality mapping, nonhomogeneous dehazing In conjunction with CVPR 2020, June 15, Seattle, USA. Website: http://www.vision.ee.ethz.ch/ntire20/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video restoration, enhancement, manipulation on constrained settings ? Image/video processing on mobile devices ? Visual domain translation ? Multimodal translation ? Perceptual enhancement ? Perceptual manipulation ? Depth estimation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation, depth estimation ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style. http://cvpr2020.thecvf.com/submission/main-conference/author-guidelines The review process is double blind. Accepted and presented papers will be published after the conference in the CVPR 2020 Workshops Proceedings. Author Kit: http://cvpr2020.thecvf.com/sites/default/files/2019-09/cvpr2020AuthorKit.zip Submission site: https://cmt3.research.microsoft.com/NTIRE2020 WORKSHOP DATES ? *Regular Papers Submission Deadline: March 22, 2020* *(EXTENDED!)* ? Challenge Papers Submission Deadline: April 04, 2020 IMAGE CHALLENGES (*ongoing!*) 1. *Perceptual Extreme Super-Resolution *(x16) 2. *Real-World Super-Resolution * 3. *Real Denoising* (rawRGB and sRGB) 4. *Deblurring *(on desktop and on smartphone) 5. *Demoireing* (single image and burst) 6. *Spectral Reconstruction from RGB* 7. *Nonhomogeneous Dehazing * VIDEO CHALLENGES (*ongoing!*) 1. *Quality Mapping* (supervised and weakly supervised) 2. *Deblurring* To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE webpage: http://www.vision.ee.ethz.ch/ntire20/ CHALLENGES DATES ? Release of train data: January 10, 2020 ? *Competitions end: March 23, 2020* ORGANIZERS ? Radu Timofte, ETH Zurich, Switzerland ? Martin Danelljan, ETH Zurich, Switzerland ? Shuhang Gu, ETH Zurich, Switzerland & University of Sydney, Australia ? Kai Zhang, ETH Zurich, Switzerland ? Lei Zhang, The Hong Kong Polytechnic University ? Ming-Hsuan Yang, University of California at Merced, US ? Luc Van Gool, ETH Zurich, Switzerland and KU Leuven, Belgium ? Cosmin Ancuti, UPT, Romania ? Codruta O. Ancuti, University Politehnica Timisoara, Romania ? Kyoung Mu Lee, Seoul National University, Korea ? Michael S. Brown, York University, Canada ? Eli Shechtman, Adobe Research ? Zhiwu Huang, ETH Zurich, Switzerland ? Seungjun Nah, Seoul National University, Korea ? Abdelrahman Kamel Siddek Abdelhamed, York University, Canada ? Mahmoud Afifi, York University, Canada ? Boaz Arad, Voyage 81, Israel ? Shanxin Yuan, Huawei Noah's Ark Lab, UK ? Gregory Slabaugh, Huawei Noah's Ark Lab, UK SPEAKERS (TBA) SPONSORS (TBU) CVL / ETH Zurich Huawei Oppo Disney Research MediaTek Voyage81 Website: http://www.vision.ee.ethz.ch/ntire20/ Contact: radu.timofte at vision.ee.ethz.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From adeel.razi at gmail.com Mon Mar 16 04:25:21 2020 From: adeel.razi at gmail.com (Adeel Razi) Date: Mon, 16 Mar 2020 19:25:21 +1100 Subject: Connectionists: Postdoctoral position in brain network modelling Message-ID: Dear all, Are you interested in brains, networks, models, Bayes, dynamical systems, and neuroimaging (or some combination of these) and looking for a postdoctoral position? We have a Research Fellow position available in Melbourne at the Turner Institute for Brain and Mental Health. This position is funded for two years, in the first instance, to work with a team of collaborators at Monash University (Adeel Razi, Lead), University of Melbourne (Andrew Zalesky) and University College London (Karl Friston). You will be situated within the Computational and Systems Neuroscience Laboratory: www.adeelrazi.org. For further details see below. For position description and applying online go here: https://tinyurl.com/srpnuk5 For any informal inquiries please get in touch at adeel.razi at moansh.edu. Best wishes, Adeel +++++++++++++++++++++++++++++++ *The Opportunity* This exciting new Research Fellow position will generate research relevant to the development of brain connectivity analysis methods, with a focus on Dynamic Causal Modelling (DCM), which is a framework for modelling neural circuitry (i.e. effective connectivity). You will be part of an interdisciplinary team of researchers who develop and apply novel analysis methodology for inferring brain connectivity using multimodal neuroimaging. The appointee will coordinate development efforts as part of an Australian Research Council (ARC) Discovery Project awarded to Monash University (Dr Adeel Razi, Lead Investigator), University of Melbourne (Associate Professor Andrew Zalesky) and University College London (Professor Karl Friston). Ideally we are seeking someone with an honours degree in Engineering, Mathematics, Physics, Computer Science, Psychology and a doctoral qualification (or close to completion) in Neuroscience, Biomedical Engineering or closely related field relevant to functional MRI. If you have a programming ability in either MATLAB, Python or R, strong quantitative background and good knowledge of multimodal neuroimaging, we look forward to receiving your application. This role is a full-time position; however, flexible working arrangements may be negotiated. At Monash University, we are committed to being a Child Safe organisation. Some positions at the University will require the incumbent to hold a valid Working with Children Check. Your application must address the selection criteria. Please refer to "How to apply for Monash Jobs ". *Enquiries* Dr Adeel Razi, Senior Research Fellow, +61 3 9905 0109 -- *Adeel Razi, PhD * Director, Computational & Systems Neuroscience Laboratory Senior Lecturer & ARC DECRA Fellow adeelrazi.org Deputy Program Lead - Brain Mapping and Modelling *Turner Institute for Brain and Mental Health* monash.edu/turner-institute *Monash Biomedical Imaging* Monash University https://www.monash.edu/researchinfrastructure/mbi Honorary Senior Research Fellow *Wellcome Centre for Human Neuroimaging* University College London, United Kingdom https://www.fil.ion.ucl.ac.uk/ *E*: adeel.razi at monash.edu | *P*: +61 (03) 99050109 | *T*: @adeelrazi | *A*: Room 116, 770 Blackburn Road, Clayton campus, VIC 3800, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Mon Mar 16 09:03:13 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 16 Mar 2020 14:03:13 +0100 Subject: Connectionists: [CfP] Deadline extension ECML PKDD research/ADS track Message-ID: An HTML attachment was scrubbed... URL: From cshelton at cs.ucr.edu Mon Mar 16 12:54:56 2020 From: cshelton at cs.ucr.edu (Christian Shelton) Date: Mon, 16 Mar 2020 09:54:56 -0700 Subject: Connectionists: MLHC: submission deadline extended to April 3 Message-ID: <20200316165456.GA91990@eclipse> Whether it's transitioning to remote work or preparing to be/being at the front lines, we recognize that now is a time of disruption for many in our community. We are grateful for your efforts, and we have extended the MLHC deadline to April 3. Full call below! Call for Submissions: MLHC -> Machine Learning for Healthcare Conference 2020 What: conference on data-driven healthcare When: August 6-8, 2020* Where: Durham, NC Website: https://www.mlforhc.org/ ------------------------------------------------------------------- * At this time/given our conference is in late summer, we expect to continue with the conference as planned, with options for those affected by any continuing coronavirus travel restrictions to present remotely. Researchers in machine learning --- including those working in statistical natural language processing, computer vision, and related sub-fields --- when coupled with seasoned clinicians can play an important role in turning complex medical data (e.g., individual patient health records, genomic data, data from wearable health monitors, online reviews of physicians, medical imagery, etc.) into actionable knowledge that ultimately improves patient care. For several years, MLHC has drawn together hundreds of clinical and machine learning researchers to discuss machine learning solutions clinicians need solved. We invite submissions that advance our understanding of machine learning in the context of healthcare. Submissions may be methods oriented, describing ways to address the challenges inherent to health-related data (e.g., sparsity, class imbalance, causality, temporal dynamics, multi-modal data). They may also be more application-oriented, including evaluations and analyses of state-of-the-art machine learning approaches applied to health data in deployed/prototyped systems. Submissions will be reviewed by both computer scientists and clinicians. This year we are calling for papers in two tracks: a research paper track and a clinical abstract+software/demo track. Accepted papers will be archived through the Proceedings of Machine Learning Research (JMLR Proceedings track). Examples of topic areas include: *Predicting individual patient outcomes *Mining, processing and making sense of clinical notes *Patient risk stratification *Parsing biomedical literature *Bio-marker discovery *Brain imaging technologies and related models *Learning from sparse/missing/imbalanced data *Time series analysis with medical applications *Medical imaging *Efficient, scalable processing of clinical data *Clustering and phenotype discovery *Methods for vitals monitoring *Feature selection/dimensionality reduction *Text classification and mining for biomedical literature *Exploiting and generating ontologies *ML systems that assist with evidence-based medicine Regardless of the topic, our main interest is in papers that teach us something, that give us some new insights into machine learning in the context of healthcare. --- Submission Details --- Research Track: Full papers are expected (in the range of 12-15 pages) The review process is double blind. Please refer to the submission instructions on our website, including tips on what makes a great MLHC paper and required content. All papers will be rigorously peer-reviewed, and research that has been previously published elsewhere or is currently in submission may not be submitted. Accepted papers will be published through the Proceedings of Machine Learning Research. Clinical Abstract and Software/Demo Track: We also have a non-archival track two very specific categories of papers: Clinical abstracts share open clinical problems and celebrate translational achievements. The first author and presenter of a clinical abstract track submission must be an MD/RN/clinician. Software/demos share a tool for the community to use (which generally means open source). Abstracts will not be archived. --- Important Dates --- Paper Submission Deadline - Friday, April 3, 2020 6PM EDT Acceptance Notification - Friday June 5th, 2020 Program Chairs: Finale Doshi-Velez, PhD (Harvard University), James Fackler, MD (Johns Hopkins), Kenneth Jung, PhD (Stanford University), David Kale (USC), Rajesh Ranganath, PhD (NYU), Michael Sjoding, MD (University of Michigan), Byron Wallace, PhD (Northeastern), Jenna Wiens, PhD (University of Michigan) From fcruz.cl at gmail.com Mon Mar 16 23:34:19 2020 From: fcruz.cl at gmail.com (Francisco Cruz) Date: Tue, 17 Mar 2020 14:34:19 +1100 Subject: Connectionists: ICLD-EpiRob 2020 Journal Track - Call for Articles Message-ID: ICLD-EpiRob 2020 Journal Track - Call for Journal Articles for Oral or Poster Presentation The program committee of the 10th IEEE International Conference on Development and Learning (ICDL) invites published journal articles to be presented in the Journal Track of ICDL. 7th-10th September 2020, Valparaiso, Chile https://cdstc.gitlab.io/icdl-2020/ ==== Important Dates ==== Submission deadline: 25th May 2020 Author notification: 8th of June 2020 Conference: 7th-10th September 2020 ==== Overview ==== The Journal Track is designed to provide a forum to discuss important results related to cognitive and developmental systems recently published as journal articles, but have not been previously presented as conference papers. Thus, the journal track offers an opportunity to present outstanding results that might otherwise not be submitted to a conference due to their length and complexity. All accepted journal presentations will be selected for either oral or poster presentation during the conference based on the reviews - at least one author is expected to register to ICDL 2020 and to present the paper in person. ==== Submissions ==== Candidate papers must be original research articles published in a journal relevant to the research area during 2019 or 2020. Papers that are in press may be submitted as long as the final camera-ready version is available online. Extensions of papers that have been previously presented as conference papers may NOT be submitted to this track. All submissions must be made by email to Francisco Cruz, including (in a single PDF): - Title of the original journal paper. - Abstract of the paper. - A complete reference to the original paper in APA format. - URL where the paper can be downloaded from the publisher if available, or proof of the final acceptance. - A copy of the paper with its final camera-ready contents. Submissions will go through an expedited selection process led by the conference chairs. Selection criteria include the significance of the results and relevance to the ICDL community. ==== Scope and Topics ==== The primary list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modeling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicol?s Navarro-Guerrero, and Mar?a-Jos? Escobar Bridge Chairs: Minoru Asada, Fr?d?ric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Crist?bal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee, Francisco Cruz Research Fellow in Reinforcement Learning School of Information Technology Deakin University Locked Bag 20000, Geelong, VIC 3220 francisco.cruz at deakin.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Tue Mar 17 05:00:01 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Tue, 17 Mar 2020 10:00:01 +0100 Subject: Connectionists: CALL FOR PAPERS --> AAIA'20 - 15th International Symposium on Advances in Artificial Intelligence and Applications In-Reply-To: <4b43edf5-020f-26f6-9064-24fdf99fa753@ibspan.waw.pl> References: <4b43edf5-020f-26f6-9064-24fdf99fa753@ibspan.waw.pl> Message-ID: <974aeabc-e190-41e3-291a-7d0049fee06e@amu.edu.pl> CALL FOR PAPERS AAIA'20 - 15th International Symposium on Advances in Artificial Intelligence and Applications within 2020 Federated Conference on Computer Science and Information Systems (FedCSIS'20) https://fedcsis.org/2020/aaia Sofia, Bulgaria, 06-09 September 2020 (we hope that the COVID-19 attack will be over by then) FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE AAIA'20 brings together scientists and practitioners to discuss their latest results and ideas in all areas of Artificial Intelligence. We hope that successful applications presented at AAIA'20 will be of interest to researchers who want to know about both theoretical advances and latest applied developments in AI. AAIA'20 TOPICS Papers related to theories, methodologies, and applications in science and technology in the field of AI are especially solicited. Topics covering industrial applications and academic research are included, but not limited to: -- Decision Support -- Machine Learning -- Fuzzy Sets and Soft Computing -- Rough Sets and Approximate Reasoning -- Data Mining and Knowledge Discovery -- Data Modeling and Feature Engineering -- Data Integration and Information Fusion -- Hybrid and Hierarchical Intelligent Systems -- Neural Networks and Deep Learning -- Bayesian Networks and Bayesian Reasoning -- Case-based Reasoning and Similarity -- Web Mining and Social Networks -- AI in Business Intelligence and Online Analytics -- AI in Robotics and Cyber-Physical Systems -- AI-centered Systems and Large-Scale Applications AAIA'20 is a part of the Track 1 - Artificial Intelligence within the FedCSIS'20 framework. Track 1 also includes: -- ASIR???20 - 9th International Workshop on Advances in Semantic Information Retrieval https://fedcsis.org/2020/asir -- FVRM'20 - 1st Symposium on Formal Approaches to Vagueness in Relation to Mereology https://fedcsis.org/2020/fvrm -- LTA'20 - 5th International Workshop on Language Technologies and Applications https://fedcsis.org/2020/lta -- WCO'20 - 13th International Workshop on Computational Optimization https://fedcsis.org/2020/wco FedCSIS'20 KEYNOTE SPEAKERS (to be extended): -- Christian Blum (Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain) -- George Boustras (European University, Cyprus) -- Hans-Georg Fill (University of Fribourg, Switzerland) PAPER PUBLICATION: Preprints will be published on USB memory sticks provided to the FedCSIS'20 participants. Papers presented during FedCSIS'20 will be submitted to IEEE for inclusion in the Xplore Digital Library under a nonexclusive copyright, thus further publication of extended papers are possible. Moreover, proceedings published in a volume with ISBN, ISSN and DOI numbers will be posted at FedCSIS WWW site. IMPORTANT DATES: -- Regular paper submission: May 15, 2020 (fixed - no extensions) -- Position paper submission:June 9, 2020 (with option of regular paper submission - if discussed with chairs) -- Acceptance notification: June 30, 2020 -- Final paper submission and author registration: July 15, 2020 -- Conference dates: September 6-9, 2020 Please forward this announcement to your colleagues and associates who could be interested in it. CHAIRS OF THE AAIA'20 Dominik Slezak & Marcin Szczuka -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From vvouloutsi at ibecbarcelona.eu Tue Mar 17 07:58:52 2020 From: vvouloutsi at ibecbarcelona.eu (vvouloutsi at ibecbarcelona.eu) Date: Tue, 17 Mar 2020 12:58:52 +0100 Subject: Connectionists: [meetings] [LM2020] Living Machines 2020 - Third call for papers - Deadline extended Message-ID: <76850e3f-365e-4e7a-936f-6ab2364a31c2@Spark> Dear colleagues, Please find below the third call for papers, satellite events, and sponsors for the 9th International Conference on Biomimetic and Biohybrid Systems of Living Machines, 28th-31st of July 2020. We are actively monitoring the evolving situation with the COVID-19 pandemic and its implications for conference travel and meetings. As LM2020 is not scheduled until late July, we are continuing to plan for the meeting in the hope that conditions will be much improved. *In the meantime, we are extending the deadline for submissions until April 20* Apologies for cross-posting but please share this announcement with your colleagues. Looking forward to seeing you in Freiburg, Germany! Stay safe and take good care. -------------------------------------------------------------------------------------------------------------------------- *Third Call for Papers, Satellite Events and Sponsors* *Living Machines. The 9th International Conference on Biomimetic and Biohybrid Systems* * 28 ? 31 July 2020* To be hosted at the Botanical Garden of Freiburg and the Cluster of Excellence livMatS at the University of Freiburg, Germany Accepted papers will be published in *Springer Lecturer Notes in Artificial Intelligence* *Submission deadline extended: April 20, 2020* http://livingmachinesconference.eu/2020 -------------------------------------------------------------------------------------------------------------------------- *ABOUT LIVING MACHINES 2020* The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. *Biomimetics* is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. *Biohybrid* systems are formed by combining at least one biological component?an existing living system?and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The theme of the conference also encompasses biomimetic methods for manufacture, repair, and recycling inspired by natural processes such as reproduction, digestion, morphogenesis, and metamorphosis. The following are some examples of ?Living Machines? as featured at past conferences: * Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. * Biomimetic computers?neuromimetic emulations of the physiological basis for intelligent behavior. * Active biomimetic materials and structures that self-organize and self-repair or show other bio-inspired functions. * Nature-inspired designs and manufacturing processes. * Biohybrid brain-machine interfaces and neural implants. * Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. * Organism-level biohybrids such as robot-animal or robot-human systems. *ACTIVITIES* The main conference will take the form of a *three-day single-track oral* and *poster presentation program*, *28th July to 31st July 2020*, and will be hosted at the Botanical Garden of Freiburg by the University of Freiburg, Germany, and the Cluster of Excellence ?Living, Adaptive and Energy-autonomous Materials Systems (livMatS)? (www.livmats.uni-freiburg.de). The conference program will include *five plenary lectures* from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies. The full conference will be preceded by up to two days of *Satellite Events* hosted at the University of Freiburg. *SUBMITTING TO LIVING MACHINES 2020* We invite both *full papers* and *extended abstracts* in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines Proceedings, published in the *Springer-Verlag Lecture Notes in Artificial Intelligence*. Full papers (minimum 8 pages, up to 12 pages) are invited from researchers at any stage in their career and should present significant findings and advances in biomimetic or biohybrid research. More preliminary work is better suited for short paper submission (maximum 4 pages, with a maximum of ten references and no more than three self-citations). Full papers will be accepted for either oral presentation (single track) or poster presentation with a short podium preview. Extended abstracts will be accepted for poster presentations only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of the Taylor & Francis journal *Connection Science*. *SATELLITE EVENTS* Active researchers in biomimetic and biohybrid systems are invited to propose topics for full or half-day *tutorials*, *symposia* or *workshops* on related themes to be held on 28. July at the Institute for Biology II/III of the University of Freiburg (http://www.bio.uni-freiburg.de/index-en?set_language=en). Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is flexibility about the content, organization, and budgeting for these events. Please contact us if you are interested in organizing a satellite event! *EXPECTED DEADLINES* April 20, 2020: Paper submission deadline May 20, 2020: Notification of acceptance May 25, 2020: Camera-ready copy July 28, 29-31, 2020 Workshops and Conference *SPONSORSHIP* Organizations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products through conference publications, conference events, and conference publicity are encouraged to contact the organizers to discuss the terms of sponsorship and necessary arrangements. We also offer a number of attractive options for potential sponsors. *VENUE* Consistent with the Living Machines? tradition of choosing historical venues at the crossroads between life and human sciences, this year the conference will take place at the Botanical Garden of Freiburg. Freiburg is considered the gateway to the Black Forest and thanks to its geographical location is blessed with mild weather all year round. The city is over 900 years old and known to be the sunniest city(1,740 hours of sunshine/year) in Germany. Freiburg has a beautiful historical inner city and is home to one of the oldest universities and Botanical Gardens in Germany. The Botanical Garden Freiburg will be celebrating its 400 year anniversary in 2020 and is located in the district Herdern near the Botanical Institute of the University of Freiburg. The Botanical Garden invites visitors to enjoy its wonderful greenery and learn about both plants from all around the world and plant-based biomimetics with its biomimetic educational trail. The trail highlights biomimetic inventions based on plants while providing fascinating insights into underlying biological principles. *CONFERENCE ORGANIZING COMMITTEE* *Thomas Speck* University of Freiburg, Germany (Local Chair) *Paul Verschure* IBEC, BIST, ICREA, CSN Foundation (Co-Chair) *Tony Prescott* University of Sheffield, CSN Foundation (Steering Committee) *Anna Mura* IBEC, BIST Barcelona, CSN Foundation (General Organization) *PROGRAM CHAIR* *Vicky Vouloutsi* IBEC, BIST, Barcelona *COMMUNICATION* *Sonja Seidel* University of Freiburg, Germany *Yulia Sandamirskaya* INI, Zurich Univ. and ETH *WORKSHOPS CHAIR* *Falk Esser* University of Freiburg, Germany *LOCAL ORGANIZERS COMMITTEE* *Thomas Speck* University of Freiburg, Germany *Falk Esser* University of Freiburg, Germany *Sonja Seidel* University of Freiburg, Germany Best, V. -- Vicky Vouloutsi, PhD Postdoc Researcher at the laboratory for Synthetic Perceptive, Emotive and Cognitive Systems (SPECS) mail: vvouloutsi at ibecbarcelona.eu linkedin researchgate tel: +34 934011913 Aquest correu electr?nic cont? informaci? confidencial emparada pel secret professional. Qualsevol reproducci?, distribuci? o divulgaci? del seu contingut estan estrictament prohibides. Si vost? no ?s el destinatari, li preguem no faci difusi? ni copi? el seu contingut i ens ho notifiqui el m?s aviat possible a l'adre?a dataprotection at ibecbarcelona.eu Este correo electr?nico contiene informaci?n confidencial amparada por el secreto profesional. Cualquier reproducci?n, distribuci?n o divulgaci?n de su contenido est?n estrictamente prohibidas. Si usted no es el destinatario, le rogamos no difunda ni copie su contenido y nos lo notifique de inmediato a la direcci?n dataprotection at ibecbarcelona.eu This electronic transmission contains confidential information covered by professional secrecy. Any reproduction, distribution or disclosure of its contents is strictly prohibited. If you are not the intended recipient, you are kindly requested not to disseminate nor to copy this transmission and to notify us as soon as possible by email to dataprotection at ibecbarcelona.eu . -------------- next part -------------- An HTML attachment was scrubbed... URL: From augenstein at di.ku.dk Tue Mar 17 08:47:21 2020 From: augenstein at di.ku.dk (Isabelle Augenstein) Date: Tue, 17 Mar 2020 12:47:21 +0000 Subject: Connectionists: Postdoc Position in Natural Language Understanding at the University of Copenhagen Message-ID: A postdoc position on natural language understanding is available in the CopeNLU group at the Department of Computer Science, University of Copenhagen. The postdoc position is partly funded by a Megagon Labs faculty research award for the project `Subjective Question Answering?. The position is restricted to one year initially, after which a contract renewal is possible. The call will be open until the position is filled, and the start date is 1 May 2020 or as soon as possible afterwards. If you are interested in the position, please send a short introduction as well as a CV to >. You are also welcome to get in touch to informally to discuss further details about the position first. Applications from researchers of underrepresented groups in machine learning are particularly encouraged. Duration: 1 year, renewal possible Application deadline: none -- the position remains open until filled Position available from: 1 May 2020 Salary: from DKK 426.625 including annual supplement (+ pension up to DKK 72.952) Place: CopeNLU lab, Machine Learning Section, Department of Computer Science, University of Copenhagen, Denmark, https://copenlu.github.io/ Research areas: Natural Language Processing, Machine Learning, Question Answering, Low-Resource Learning Applications: Candidates should submit a CV and a cover letter by email Contact: Isabelle Augenstein > ??? Isabelle Augenstein, PhD Associate Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark www: http://isabelleaugenstein.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ehildret at wellesley.edu Tue Mar 17 10:53:29 2020 From: ehildret at wellesley.edu (Ellen C Hildreth) Date: Tue, 17 Mar 2020 10:53:29 -0400 Subject: Connectionists: Science of Intelligence Learning Hub Message-ID: The Center for Brains, Minds, and Machines (CBMM) has launched the Science of Intelligence Learning Hub (https://cbmm.mit.edu/learning-hub), featuring resources created by the CBMM community and affiliates, to support education and research on the interdisciplinary study of intelligence. The Learning Hub brings together an extensive collection of video lectures for audiences ranging from the research community to the general public; tutorials on computational and empirical methods; materials from online and residential courses; modeling and data analysis tools and datasets; and resources from scientific workshops and the Brains, Minds, and Machines summer course that are hosted by CBMM. Ellen Hildreth -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastian.risi at gmail.com Tue Mar 17 14:43:04 2020 From: sebastian.risi at gmail.com (Sebastian Risi) Date: Tue, 17 Mar 2020 19:43:04 +0100 Subject: Connectionists: PhD and Postdoc positions in Machine Learning / Reinforcement Learning / Evolutionary Computation Message-ID: Funded Postdoc and PhD positions are available to start as soon as possible or after agreement. Application deadline: 15 April 2020, at 23:59 CEST. The positions are funded by two Independent Research Fund Denmark (DFF) grants led by Sebastian Risi (INNATE: DFF Sapere Aude grant and QD2L: DFF thematic grant). Please refer to which project you are applying to. Project 1 (INNATE): The overall aim of this project is to create adaptive machines that can continually learn from experience and apply previously learned knowledge to novel situations. Current machine learning systems can only deal with situations they have been trained for in advance; they are unable to adapt quickly and during execution to unexpected events. In the INNATE project, the goal is to devise a new class of algorithms based on a combination of evolutionary computation and state-of-the-art reinforcement learning to significantly extend the usefulness of simulated agents and robots. Project 2 (QD2L): Deep neural networks have lately shown impressive performance across a range of tasks, such as face recognition, speech recognition, or automatic translation. However, there is increasing evidence that while these systems work well on the data they are training on, they do not generalize well to related problems or even different instances of the same problem. The aim in this project is to devise a novel approach to making neural networks significantly more robust by combining deep (reinforcement) learning methods with ideas from quality diversity search methods. The successful candidate should have experience in some of the following topics: - Deep RL / meta-learning / continual learning - Machine learning - Neuroevolution / evolutionary algorithms - Neurobiology / systems neuroscience - Evolutionary developmental biology Research environment The successful candidate will work together with Sebastian Risi (see sebastianrisi.com) and join the Robotics, Evolution, and Art Lab (REAL), which is an interdisciplinary research group at the IT University of Copenhagen (see https://real.itu.dk). We aim at building a diverse team. All applications are welcome, especially those from members of underrepresented groups are encouraged. Link to apply and more information: https://candidate.hr-manager.net/ApplicationInit.aspx?cid=119&ProjectId=181144&DepartmentId=3439&MediaId=5 -- Dr. Sebastian Risi Associate Professor - IT University of Copenhagen / Co-founder - Modl.ai email: sebastian.risi at gmail.com, web: www.sebastianrisi.com phone: +45-50250355 From axel.hutt at inria.fr Wed Mar 18 01:43:19 2020 From: axel.hutt at inria.fr (Axel Hutt) Date: Wed, 18 Mar 2020 06:43:19 +0100 (CET) Subject: Connectionists: INRIA Postdoc on "Modelling of homeostatic synaptic plasticity in transcranial stimulation" Message-ID: <1153737395.26056870.1584510199506.JavaMail.zimbra@inria.fr> The INRIA-team MIMESIS (https://mimesis.inria.fr/) located in Strasbourg / France announces a Postdoc position (f/m) on ************************************************************************ Modelling of homeostatic synaptic plasticity in transcranial stimulation ************************************************************************ Research Topic: --------------- It is well-known that transcranial stimulation (TS) may alleviate symptoms in neural diseases, such as major depression, schizophrenia or multiple sclerosis. The duration of the behavioural improvement depends on the stimulation protocol, e.g. the frequency and duration of stimulation sessions. TS may alleviate symptoms for weeks and even months after TS termination. However, patients may not respond at all to TS or may develop side effects such as headache or seizures in rare cases. To improve TS and increase the number of responding patients, it is essential to develop an efficient stimulation protocol. Hence it is mandatory to understand better the TS effect on neural information processing. The time-scale of improved behaviour is days and weeks. This indicates that the underlying neural mechanism of long-term improvement is synaptic plasticity, such as long-term potentiation or homeostatic plasticity of synapses. The project will focus on homeostatic synaptic plasticity (HSP) in the presence of TS. The candidate will implement HSP in a cortico-thalamic population model with Poisson spiking neurons (Hutt et al., Neuroimage 179: 414-428 (2018)). Numerical simulation of HSP with TS will reveal effects on neural synchronisation and the power spectrum of population activity. A comparison to experimental EEG-data from multiple sclerosis patients will evaluate the model. The candidate will implement numerically the neural network under Python and will develop a GUI to visualise spiking and population activity. The implemented code will be published and shared in the INRIA Open Source server gitlab. The position: ------------- The Postdoctoral position is financed by the INRIA CORDI-S program and has a duration of 16 months. We are looking for young candidates to start the position in 2020 having finished their PhD after September 1, 2018. The perfect candidate has a strong expertise in neural modelling with an emphasis on mathematical and/or computational analysis. Please send your application documents (CV, list of publications) or requests for more information to Axel HUTT (email: axel.hutt at inria.fr) . -- Axel Hutt Directeur de Recherche Equipe MIMESIS INRIA Nancy Grand Est 1, Place de l'Hopital 67000 Strasbourg, France https://mimesis.inria.fr/speaker/axel-hutt/ From S.Qiu-1 at tudelft.nl Wed Mar 18 05:25:28 2020 From: S.Qiu-1 at tudelft.nl (Sihang Qiu - EWI) Date: Wed, 18 Mar 2020 09:25:28 +0000 Subject: Connectionists: ACM Hypertext 2020: COVID-19 Update Message-ID: * We apologize for cross-posting * **IMPORTANT NOTE ON COVID-19** Given the impact of COVID-19 on teaching and research around the world, we have extended the deadline to April 3, 2020. We anticipate being able to accommodate online presentation from those unable to travel pending conditions in July, and are monitoring the situation regarding any decision to virtualize the conference going forward. ############# CALL FOR PAPERS ############# ACM HYPERTEXT 2020 ? HT2020 FOR SOCIAL GOOD 31st ACM Conference on Hypertext and Social Media (HT?20) July 13-15 2020 | Orlando, Florida, USA Twitter: @ACMHT ? https://twitter.com/ACMHT Conference Site: http://ht.acm.org/ht2020 Hashtag: #ACMHT2020 Submit Online via EasyChair: https://easychair.org/conferences/?conf=ht2020 ----------------------- CONFERENCE SCOPE ----------------------- The ACM Hypertext conference is a premium venue for high quality peer-reviewed research on hypertext theory, systems and applications. It is concerned with all aspects of modern hypertext research including social media, semantic web, dynamic and computed hypertext and hypermedia as well as narrative systems and applications. The theme of Hypertext 2020 is ?HYPERTEXT for Social Good?. This motto of the 31st ACM Hypertext conference goes hand in hand with the growing importance of ensuring technological inventions and innovations have a positive impact on the users, as well as the society at large. We are particularly interested in work that is timely, activist, or community-centered. Hypertext 2019 turned some important stones to reunify different hypertext research directions and communities. Hypertext 2020 will proudly carry forward this aim. Hypertext 2020 will therefore consist of 4 different tracks that broadly appeal to interdisciplinary challenges. In addition to this, HT2020 will also host a Doctoral Consortium, and a Blue Sky Ideas track to facilitate the presentation and discussion of grand visions for the future of Hypertext systems. This is a perfect time to join in, reflect our common roots, and discuss how we can jointly address our current and future challenges. Hypertext 2020 is co-locating with the Electronic Literature Conference (ELO?20) organized in Orlando, Florida between July 13-15. The conference will take place at the downtown University of Central Florida campus, with hotel accommodations available next door to the conference venues. ----------------------- ORGANIZATION ----------------------- General Chairs: ? Anastasia Salter, University of Central Florida (@AnaSalter ? https://twitter.com/AnaSalter) ? John Barber, Washington State University Program Chair: ? Ujwal Gadiraju, Leibniz University of Hannover, DE (@UjLaw ? https://twitter.com/ujlaw) Local Arrangements Chair: ? Mel Stanfill, University of Central Florida (@melstanfill ? https://twitter.com/melstanfill) Publicity Co-Chairs: ? Bonnie Cross, University of Central Florida, USA (@bonniercross ? https://twitter.com/bonniercross) ? Sihang Qiu, Delft University of Technology, NL (@qiusihang ? https://twitter.com/qiusihang) Web Chair: ? Mike Shier, University of Central Florida, USA Proceedings Chair: ? John Murray, University of Central Florida (@lucidbard https://twitter.com/lucidbard) ---------------------------------------------- SUBMISSION CATEGORIES AND DEADLINES ---------------------------------------------- Papers must report new results substantiated by experimentation, simulation, analysis, or application. Authors are invited to submit papers presenting original, not previously published works. Art and creative work is also welcome as part of the exhibition/creative track. Submission categories include: SUBMISSION DEADLINE ?REGULAR?: EXTENDED TO 3 April 2020 ? Regular research papers (max 10 pages) discussing mature work. ? Short papers (max 5 pages) describing preliminary results of on-going work or novel thought-provoking ideas ? Doctoral consortium submissions (max 4 pages + CV) describing the work of the graduate student and a CV in order to provide some background information about the graduate student SUBMISSION DEADLINE ?LATE BREAKING/DEMOS/EXHIBITION?: 13 April 2019 (Track Chair: Besnik Fetahu) ? Late breaking (max 2 pages, presented as poster) presenting innovative research ideas, or preliminary results. ? Demos (max 2 pages) presenting system prototypes or industry showcases. ? Exhibition or creative track submissions (max 2 pages) describing the proposed exhibition or creative work. Creative work is particularly encouraged to be web-based and engage with the theme of ?Changing Climates,? a call to engage the impact of hypertext and the responsibility of web creators and researchers in a time of climate change. Participants are welcome to submit creative work in absentia if coming from a country that currently makes travel unfeasible, in consultation with the chairs. Accepted submissions will appear in the Hypertext 2020 Conference Proceedings that will be published by ACM via the ACM Digital Library. Submissions should follow the ACM SIGCONF version of the master template and be anonymized for peer review. ---------------------------------------------- CONFERENCE MAIN TRACKS ---------------------------------------------- ### Hypertext Infrastructures and User Interfaces ### * Hypertext structure domains (e.g., node-link structures, spatial hypertext, taxonomic hypertext, argumentation structures) * Interaction devices used in combination with hypertext systems (e.g., VR glasses, smart whiteboards, mobile devices) * Interacting with hypertext * Visual analytics and hypertext * Data visualization and navigation * Conversational User Interfaces * Social Media Systems and Tools ### Hypertext Literature, Games, and Digital Humanities ### * Hyperfiction and storytelling * Gaming and gamification * Automated analysis of narratives * Automated story or (semantic) link generation * Hypertext and digital humanities * Digital journalism and citizen/collaborative news * Electronic literature * Hypermedia authoring * Interactive fiction and storytelling * Intelligent narratives * Theory of hypertext narratives * Hypertext and communication theory ### Web and Society ### * Fairness, Accountability, Transparency, Ethics in Web Search * Security, Privacy, & Trust * Bias in Web Search * Search as Learning * Computational Social Science * Human Computation & Crowdsourcing * Urban Data Science * Smart Cities * Health and Well-being Online * Affective Computing & Personal Health * Humanities, Arts, & Culture on the Web * Behavioral Monitoring & Change * Web Mining & Content Analysis ### Social Media Analysis & Recommender Systems ### * User Modeling & Personalization * Social Network Analysis * Credibility of Social Media Content * Opinion Mining * Bias, Filter Bubbles and Ethics of Personalized Services * Personalization and Recommendation for Social Good * Explainable Methods for Recommender Systems * Explainable Methods for Personalization * User Experience & Engagement * Preference Elicitation * Algorithmic Scalability & Performance * Conversational Recommender Systems ----------------------- BLUE SKY IDEAS TRACK ----------------------- Deadline: 13 April 2020 The emphasis of this track is on visionary ideas, long-term challenges, and new research opportunities. This track is designed to overcome the constraints of the traditional review process, and will serve as an incubator for innovative approaches, risky and provocative ideas, and to propose challenges and opportunities in the near future. Submissions to this track are limited to a maximum of 4 pages. ----------------------- DOCTORAL CONSORTIUM ----------------------- Track Chair: Claus Atzenbeck PhD students (or in specific cases Master students) are encouraged to submit their ongoing research related to the broad scope of HT 2020. The goal of the Doctoral Consortium is to provide PhD students at different stages of their candidature, with an adequate platform to showcase their research, goals and receive feedback on their ongoing research. Students can use this opportunity within a dedicated session at the HT 2020 conference, to receive guidance on various aspects of their research from established researchers and other PhD students working in research areas related to the broad scope of HT 2020. From krallinger.martin at gmail.com Wed Mar 18 13:59:10 2020 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Wed, 18 Mar 2020 18:59:10 +0100 Subject: Connectionists: Final CFP CodiEsp: Clinical Case Coding Task (eHealth CLEF 2020) In-Reply-To: References: Message-ID: **** *** * *CodiEsp (eHealth CLEF? Multilingual Information Extraction) Shared Task on automatic assignment of ICD10 codes (procedures, diagnosis) track at CLEF 2020* http://temu.bsc.es/codiesp Plan TL Award for the CodiEsp Track The CodiEsp sub-tracks: *1.CodiEsp Diagnosis Coding *sub-task* (CodiEsp-D)*: will require automatic ICD10-CM [CIE10 Diagn?stico] code assignment to each clinical case document. *2.CodiEsp Procedure Coding *sub-task* (CodiEsp-P):* will require automatic ICD10-PCS [CIE10 Procedimiento] code assignment to each clinical case document. *3.CodiEsp Explainable AI *exploratory sub-task* (CodiEsp-X).* Systems are required to extract the evidence text supporting the predicted codes (both ICD10-CM and ICD10-PCS). *Task description* Clinical coding essentially requires the transformation (or classification) of medical texts into a structured or coded format using internationally recognized class codes. These codes describe a patient?s diagnosis or treatment. Clinical coding is critical for standardizing electronic clinical records; enable aetiology studies, monitor health trends, carry out epidemiology studies, clinical and biomedical research, assist clinical decision-making or even reimbursement. As part of the eHealth CLEF (http://clef-ehealth.org) Multilingual Information Extraction Shared Task we organize* CodiEsp: Clinical Case Coding Task (http://temu.bsc.es/codiesp ). *The CodiEsp task will address the automatic extraction and assignment of clinical coding (diagnosis and procedures) to clinical case documents in Spanish. To enable participation of researches around the world, in addition to the basic data in Spanish, we will also publish versions of the training, development, and test set *automatically translated into English*. Participating systems will be asked to automatically assign ICD10 codes (or CIE-10, in Spanish) to clinical case documents. Evaluation is done through comparison to manually assigned ICD10 codes. *Publications and workshop* As in previous eHealth CLEF efforts, there will be an *evaluation workshop allocated at CLEF 2020* where participating teams can present their systems and results. Moreover, participating teams will be invited to submit their system description papers for publication at the *CLEF 2020 Working Notes proceedings*. For previous working notes see: http://ceur-ws.org/Vol-2125/ *CodiEsp awards* There will we three awards for the top-scoring teams promoted by the Spanish Plan for the Advancement of Language Technology (Plan TL) and the Barcelona Supercomputing Center (BSC). -------------------------------------- *Participation and useful info* -------------------------------------- 1. CodiEsp web, info & detailed description:http://temu.bsc.es/codiesp/ 2. Registration for CodiEsp (Multilingual Information Extraction eHealth track):http://temu.bsc.es/codiesp/index.php/registration/ 3. Datasets:https://zenodo.org/record/3693570 4. Additional training resources:https://doi.org/10.5281/zenodo.3606662 ------------------------ *Main CodiEsp Track organizers* ------------------------ - *Martin Krallinger*, Barcelona Supercomputing Center. - *Antonio Miranda*, Barcelona Supercomputing Center. - *Aitor Gonzalez-Agirre*, Barcelona Supercomputing Center. - *Marta Villegas*, Barcelona Supercomputing Center. - *Jordi Armengol*, Barcelona Supercomputing Center. ------------------------ *Important Dates* ------------------------ Jan 13: Training and development set release March 2: Test and background set release May 3: End of evaluation May 5: Results notified May 24: Paper submission Jun 28: Camera-ready paper submission Sep 22-25: CLEF 2020 Conference (Thessaloniki, Greece) -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.arleo at inserm.fr Wed Mar 18 17:13:12 2020 From: angelo.arleo at inserm.fr (angelo.arleo at inserm.fr) Date: Wed, 18 Mar 2020 22:13:12 +0100 Subject: Connectionists: Fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France In-Reply-To: <7ACE4D9D-47CD-4EBE-B59B-39DE6F55E9EC@gmail.com> References: <7ACE4D9D-47CD-4EBE-B59B-39DE6F55E9EC@gmail.com> Message-ID: <97D08D44-6679-4CE5-828E-511DD2906E6D@inserm.fr> Fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France Job description Applications are invited for a 3-year PhD position to develop clinical endpoints of daily-life activity for low vision patients in order to assess visual restoration. The therapeutic benefits of vision restoration are usually evaluated in clinical studies using conventional functional measures such as visual field and contrast sensitivity. However, these tests are not sufficient to characterize the impact of a visual pathology on patients? quality of life and autonomy. This project will set forth a set of benchmark measures to evaluate a range of daily life functions (locomotion, spatial orientation, posture, balance, reading) in real or virtual conditions. The main goal is to identify behavioral biomarkers of the benefit of vision restoration solutions (namely optogenetic therapy and retinal implants) in visually impaired patients. The PhD candidate will work hand-in-hand with clinicians of the National Hospital Center for Ophthalmology of the Quinze-Vingts and with researchers of the Vision Institute as well as the Streetlab company. The project will be carried out under the supervision of Dr. Colas Authi? and Dr. Angelo Arleo. Requirements & eligibility criteria Applicants should have a quantitative background (engineering, computer science, physics, applied mathematics), and a keen interest in behavioral neuroscience. The ideal candidate should have expertise in virtual reality, motor control, and biometric data analysis. Experience in low-vision or knowledge on machine learning and programming languages (Matlab, C or Python) are a plus. Knowledge of French is important (but not mandatory). Proficiency in oral and written English is required. Successful candidates are expected to work in an interdisciplinary environment with engineers, neuroscientists, and clinicians. Applicants must be in the first four years of their research career and they must not have lived in France more than 12 months during the last 3 years. Benefits The position is funded by the Marie Curie ITN project ENTRAIN-VISION and it will start in September 2020. It corresponds to a full PhD appointment (36 months) with competitive salary and working conditions, monthly mobility allowance, and family allowance (if family obligations). It also provides continuing education, secondments in the private sector, training modules, and transferable skills courses. Working environment The Vision Institute is one of the top international centers for integrated research on vision and eye diseases. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology of the Quinze-Vingts. The Vision Institute includes multidisciplinary research laboratories, which share state-of-the-art platforms for human and animal experimentation. It also harbors a Clinical Investigation Center, which fosters translational research. The Streetlab provides a panel of unique platforms (reproducing virtual and real immersive environments) and standardized evaluation solutions to measure autonomy, mobility, and quality of life of visually impaired people. How to apply Applicants should apply to the ENTRAIN-VISION consortium (www.entrain-vision.eu ) by April 13th, 2020. For further inquiries, please contact Angelo Arleo (angelo.arleo at inserm.fr) and Colas Authi? (colas.authie at streetlab-vision.com). *************************************** Angelo ARLEO FONTAINE, PhD Director of Research CNRS Head of the Aging in Vision and Action Lab, Director of the Chair Silversight, Institute of Vision, CNRS - INSERM - Sorbonne University, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 46 84 09 56 Email: angelo.arleo at inserm.fr Website: www.aging-vision-action.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Wed Mar 18 16:55:10 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 18 Mar 2020 21:55:10 +0100 Subject: Connectionists: CALL FOR PAPERS --> Software and System Engineering (SSE) In-Reply-To: <66adcf57-5170-07e2-b8d8-2787460eb1ec@ibspan.waw.pl> References: <66adcf57-5170-07e2-b8d8-2787460eb1ec@ibspan.waw.pl> Message-ID: <9bbd0f87-c181-75cb-38cb-26b2aafe1367@amu.edu.pl> CALL FOR PAPERS *********************************************************************************** Track 5: Software and System Engineering (SSE) https://www.fedcsis.org/2020/sse Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020) Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ *********************************************************************************** AIMS & SCOPE SSE is a FedCSIS conference track aiming at integrating and creating synergy between technical sessions that thematically subscribe to the discipline of software engineering. The track emphasizes the issues relevant to developing and maintaining software systems that behave reliably, efficiently and effectively. This track investigates both established traditional approaches and modern emerging approaches to large software production and evolution. For decades, it is still an open question in software industry, how to provide fast and effective software process, and how to come to the software systems, embedded systems, autonomous systems, or cyber-physical systems that will address the open issue of supporting information management process in many, particularly complex organization systems. Even more, it is a hot issue how to provide a synergy between systems in common and software services as mandatory component of each modern organization, particularly in terms of IoT, Big Data, and Industry 4.0 paradigms. In recent years, we are the witnesses of great movements in the area of software and system engineering (SSE). Such movements are both of technological and methodological nature. By this, today we have a huge selection of various technologies, tools, and methods in SSE as a discipline that helps in a support of the whole information life cycle in organization systems. Despite that, one of the hot issues in practice is still how to effectively develop and maintain complex systems from various aspects, particularly when software components are crucial for addressing declared system goals, and their successful operation. It seems that nowadays we have great theoretical potentials for application of new and more effective approaches in SSE. However, it is more likely that real deployment of such approaches in industry practice is far behind their theoretical potentials. The main goal of Track 5 is to address open questions and real potentials for various applications of modern approaches and technologies in SSE so as to develop and implement effective software services in a support of information management and system engineering. We intend to address interdisciplinary character of a set of theories, methodologies, processes, architectures, and technologies in disciplines such as: Software Engineering Methods, Techniques, and Technologies, Cyber-Physical Systems, Lean and Agile Software Development, Design of Multimedia and Interaction Systems, Model Driven Approaches in System Development, Development of Effective Software Services and Intelligent Systems, as well as applications in various problem domains. We invite researchers from all over the world who will present their contributions, interdisciplinary approaches or case studies related to modern approaches in SSE. We express an interest in gathering scientists and practitioners interested in applying these disciplines in industry sector, as well as public and government sectors, such as healthcare, education, or security services. Experts from all sectors are welcomed. Track 5 includes technical sessions (for more information check their individual WWW sites): * Advances in Software and System Engineering (ASSE'20) * Cyber-Physical Systems (7th Workshop IWCPS-7) * Lean and Agile Software Development (4th International Conference LASD'20) * Model Driven Approaches in System Development (6th Workshop MDASD'20) * Software Engineering (40th IEEE Workshop SEW-40) There is a possibility of selecting extended versions of the best papers from Track 5 presented during the conference for potential inclusion in the journals: ComSIS, ISI IF(2018) = 0.620, and COLA, ISI IF(2017) =0.971 IMPORTANT DATES Paper submission (sharp / no extension): May 15, 2020 Position paper submission: June 9, 2020 Author notification: June 30, 2020 Final paper submission and registration: July 15, 2020 Conference date: September 6-9, 2020 SUBMISSION GUIDLINES: FedCSIS announces two separate calls for papers, with the deadlines for submissions about three weeks apart: Call for Regular Papers and Call for Position Papers. Papers submitted within the Call for Regular Papers can be accepted, by the event?s Program Committee, in one of the three categories: full papers, short papers or communication papers. Full and short papers constitute Proceedings of the FedCSIS conference ? they are published electronically in a volume of ?Annals of Computer Science and Information Systems? (ACSIS) and are submitted for inclusion in the IEEE Xplore Digital Library. ACSIS Volumes with Proceedings of the FedCSIS conference are submitted for indexation in Web of Science, SCOPUS, DBLP, Index Copernicus and other indexing services (see, Indexation for more details). Communication papers and Position papers are published in separate ACSIS volume(s) and they are not submitted to the IEEE Xplore DL. For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions TRACK CHAIRS: Ivan Lukovic, University of Novi Sad, Serbia Geylani Kardas, Ege University International Computer Institute, Turkey Manuel Mazzara, Innopolis University, Russia -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From r.jolivet at ucl.ac.uk Thu Mar 19 05:46:38 2020 From: r.jolivet at ucl.ac.uk (Jolivet, Renaud) Date: Thu, 19 Mar 2020 09:46:38 +0000 Subject: Connectionists: PhD School of Life Sciences, University of Geneva is now opened for applications Message-ID: <1C3833AD-C8D4-4BA0-8B49-0021BED31A2A@ucl.ac.uk> Dear Colleagues, We are pleased to announce the next call for applications to the PhD School of Life Sciences at the Faculties of Medicine and Science - University of Geneva. The application deadline is Apr 15th, 2020. We would be very grateful if you could advertise this call in your Institute and among Master students. PhD positions will be available in six innovative programmes: * Biomedical Sciences * Ecology and Evolution * Genomics and Digital Health * Molecular Biosciences * Pharmaceutical Sciences * Physics of Biology For further information please visit: https://lifesciencesphd.unige.ch Renaud Jolivet -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Flyer A3-PhDLifeSciences.pdf Type: application/pdf Size: 194855 bytes Desc: Flyer A3-PhDLifeSciences.pdf URL: From Albrecht_Zimmermann at gmx.net Thu Mar 19 09:58:25 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Thu, 19 Mar 2020 14:58:25 +0100 Subject: Connectionists: Announcing the ECML PKDD Chat Analytics for Twitch (ChAT) discovery challenge Message-ID: An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Thu Mar 19 08:56:45 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Thu, 19 Mar 2020 13:56:45 +0100 Subject: Connectionists: [CfP] Call for contributions to the ECML PKDD demo track Message-ID: An HTML attachment was scrubbed... URL: From valentina.ivanova at ri.se Thu Mar 19 17:38:53 2020 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Thu, 19 Mar 2020 21:38:53 +0000 Subject: Connectionists: [CfP] VOILA!2020 @ISWC2020 5th International Workshop on Visualization and Interaction for Ontologies and Linked Data Message-ID: CALL FOR CONTRIBUTIONS VOILA 2020 - Visualization and Interaction for Ontologies and Linked Data 5th International Workshop at ISWC 2020, 19th International Semantic Web Conference November 2 or 3, Athens, Greece http://voila2020.visualdataweb.org -------------------------------------------------- Abstracts Deadline: June 12, 2020 Submission Deadline: June 19, 2020 -------------------------------------------------- We are looking for submissions addressing one or more of the following topics, subjects, and contexts (or related ones): * Topics: - visualizations - user interfaces - visual analytics - requirements analysis - case studies - user evaluations - cognitive aspects * Subjects: - ontologies - linked data - knowledge graphs - ontology engineering * Contexts: - classical interaction contexts (desktop, keyboard, mouse, etc.) - modern interaction contexts (mobile, touch, gesture, speech, etc.) - special settings (large, high-resolution, and multiple displays, etc.) - specific user groups and needs (people with disabilities, domain experts, etc.) *Special theme: Visualization for Semantic Explainability This year, we plan to have a special theme on Visualization for Semantic Explainability, a budding field where ontologies and knowledge graphs are explored to provide or enhance the explainability of machine learning models. Submissions addressing this special theme could include one or more of the following: * visualization techniques for semantic explainability * user studies on explainability with knowledge graphs and ontologies * cognitive aspects and requirements of semantic explainability Submission Guidelines ========== The following types of contributions are welcome. The recommended page length is given in brackets. There is no strict page limit but the length of a paper should be commensurate with its contribution. Full research papers (8-12 pages); Experience papers (8-12 pages); Position papers (6-8 pages); Short research papers (4-6 pages); System papers (4-6 pages). Accepted papers will be published as a volume in the CEUR Workshop Proceedings series, as in previous years. Important Dates ========== Abstract: June 12, 2020 Submission: June 19, 2020 Notification: July 24, 2020 Camera-ready: August 24, 2020 Workshop: November 2 or 3, 2020 Looking forward to your submissions & meeting you there! Catia, Patrick, Steffen, Valentina, Vitalis -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Thu Mar 19 15:25:06 2020 From: publicity at acsos.org (ACSOS 2020) Date: Thu, 19 Mar 2020 19:25:06 +0000 Subject: Connectionists: Autonomic Computing & Self-Organizing Systems (ACSOS 2020): Extended Deadline & COVID-19 Message-ID: ******* ACSOS 2020 - CFP & COVID-19 Info *******1st IEEE International Joint ICAC/SASO Conference onAutonomic Computing and Self-Organizing Systems17-21 August 2020 ? Washington, DC, USA https://2020.acsos.org/https://twitter.com/ACSOSconf************************************************The goal of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). For more information about the merger, as well as up-to-date news, see https://2020.acsos.org/news/ or follow us at https://twitter.com/ACSOSconf! *** Statement Regarding COVID-19 *** The ACSOS Steering and Organizing Committees have been monitoring the situation surrounding COVID-19, and considering what impact this may have on events scheduled for later in the year, such as ours. We are aware of the restrictions and uncertainty that people are facing, and therefore want to take this opportunity to offer some certainty to the community. We would first like to express our empathy and condolences with those affected by COVID-19 so far, and those who will have a difficult 2020. Our primary concern is that members of our community, and their families and friends, remain safe and well. Secondly, our aspiration is to enable our whole international community to have, as much as possible, a stimulating and equitable opportunity to share and discuss their work and ideas in the areas of autonomic and self-organizing computing systems. At this point we would like to announce and confirm that: - The conference *will* take place, and on its original dates in August. - There will be an opportunity to present virtually, for anyone who cannot or chooses not to travel. - All accepted papers will be published in the conference proceedings by IEEE, regardless of whether a physical or virtual presentation is given. - The paper submission deadline will be extended by 1 month, in order to support authors to still produce their best work, despite the additional challenges that many of us are facing at the moment. - Whether the conference becomes entirely virtual or a hybrid is a decision that we will make when we know more, and by early June at the latest. This is to ensure people have ample time to make travel arrangements, in the case of physical attendance. - In the tradition of ICAC and SASO, which merged to form ACSOS, ACSOS will continue to be an IEEE sponsored conference, regardless of whether the conference becomes fully virtual this year. As the situation surrounding COVID-19 is evolving rapidly, it is unclear what things will be like in the late summer. Therefore, we hope you find the above clarifications helpful, and we appreciate your understanding as we continue to monitor the situation carefully.* *** Newsflash! ****We are also pleased to confirm that:- Selected papers will be invited for extension to be published in ACM Transactions on Autonomous and Adaptive Systems (TAAS).- Following the merger of two IEEE conferences, ICAC and SASO, we are pleased to confirm that ACSOS continues as an IEEE sponsored conference.- The submission deadline is extended to the 1st May (abstracts) / 8th May (full papers).*** Important Dates - Note Extended Deadline *****May** 1, 2020: Abstract submission deadline**May** 8, 2020: Paper submission deadlineJune 8, 2020: Notification to authorsJuly 8, 2020: Camera Ready DeadlineAugust 17-21, 2020: ACSOS Conference! *** Challenge and Scope ***The complexity of current and emerging networks, software, and services can be characterized by issues such as scale, heterogeneity, openness, and dynamics, both internally and in the environment. These issues have led the software engineering, distributed systems, and systems management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, machine learning, chemistry, psychology, sociology, and biology) to find new ways of designing and managing such computing systems in a principled way. Yet challenges remain to build autonomic systems that exhibit the desirable self-* properties (i.e., self-organizing, self-adaptive, self-healing, self-aware, etc).The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive,? and self-organising. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, posters, demos, and a doctoral symposium.We invite novel contributions related to the fundamental understanding of autonomic computing, self-adaption and self-organization along with principles and practices of their engineering and application. The topics of interest include, but are not limited to: - Autonomic and Self-* system properties: robustness; resilience; resource efficiency; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness;- Autonomic and Self-* systems theory: bio-inspired and socially-inspired paradigms and heuristics; theoretical frameworks and models; formal languages; queuing and control theory; requirement and goal expression techniques; uncertainty as a 1st class entity- Autonomic and Self-* systems engineering: reusable mechanisms and algorithms; design patterns; programming languages; architectures; operating systems and middleware; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems;- Data-driven management: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage the behavior of complex systems or establishing self-awareness;- Mechanisms and principles for self-organisation and self-adaptation: inter-operation of self-* mechanisms; evolution, logic, and learning; addressing large-scale and decentralized systems;- Socio-technical self-* systems: human and social factors; visualization; crowdsourcing and collective awareness;- Hardware concepts for autonomic computing systems: self-* materials; self-construction; reconfigurable hardware;- Cross disciplinary research: approaches that draw inspiration from complex systems, organic computing, artificial intelligence, chemistry, psychology, sociology, and biology. We invite research papers applying autonomic and self-* approaches to a wide range of application areas, including:- Smart grids, smart cities, homes, and manufacturing; - Cyber-physical systems; autonomous vehicles and robotics; traffic management;- Self-adaptive cybersecurity;- Internet of Things;- Cloud computing and data centers;- Fog/edge computing;- Hypervisors, operating systems, and middleware. Selected papers from ACSOS 2020 will be invited for extensions in ACM Transactions on Autonomous and Adaptive Systems (TAAS).*** Submission Instructions ***Research papers will be accepted as either long papers up to 10 pages or short papers up to 7 pages (including references) and formatted according to the standard IEEE Computer Society Press proceedings style guide.Please submit your papers electronically in PDF format using the ACSOS 2020 Easychair site:https://easychair.org/my/conference?conf=acsos20 Note that separate calls for Poster, Demo, and In-Practice Report Submissions will also be issued, as well as a call for participation in the Doctoral Symposium.The proceedings will be published by IEEE Computer Society Press and made available as a part of the IEEE Digital Library. As per the standard IEEE policies, all submissions should be original, i.e., they should not have been previously published in any conference proceedings, book, or journal and should not currently be under review for another archival conference. We would also like to highlight IEEE?s policies regarding plagiarism and Self-plagiarism: (https://www.ieee.org/publications/rights/plagiarism/id-plagiarism.html ). Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions.*** Review Criteria ***Papers should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research. Both theoretical and empirical contributions should be highlighted, substantiated by formal analysis, simulation, experimental evaluations, or comparative studies. Appropriate references must be made to related work. Due to the cross-disciplinary nature of the ACSOS conference, we encourage papers to be intelligible and relevant to researchers who are not members of the same specialized sub-field. Authors are also encouraged to submit papers describing applications. Application papers should provide an indication of the real-world relevance of the problem that is solved, including a description of the domain, and an evaluation of performance, usability, or comparison to alternative approaches. Experience papers are also welcome, especially if they highlight insights into any aspect of design, implementation or management of self-* systems that would be of benefit to practitioners and the ACSOS community. All submissions will be rigorously peer-reviewed and evaluated based on the quality of their technical contribution, originality, soundness, significance, presentation, understanding of the state of the art, and overall quality.The conference organizers will select one paper to be awarded the Karsten Schwan Best Paper Award. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Thu Mar 19 17:17:14 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Thu, 19 Mar 2020 22:17:14 +0100 Subject: Connectionists: Call for Papers --> 6th Workshop on Model Driven Approaches in System Development (MDASD 2020) In-Reply-To: <3a76da20-15d1-bc4b-e2a7-596531428c25@ibspan.waw.pl> References: <3a76da20-15d1-bc4b-e2a7-596531428c25@ibspan.waw.pl> Message-ID: CALL FOR PAPERS ************************************************************************** 6th Workshop on Model Driven Approaches in System Development (MDASD 2020; http://fedcsis.org/2020/mdasd Technical Session Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020) Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ *************************************************************************** For many years, various approaches in system design and implementation differentiate between the specification of the system and its implementation on a particular platform. People in software industry have been using models for a precise description of systems at the appropriate abstraction level without unnecessary details. Model-Driven (MD) approaches to the system development increase the importance and power of models by shifting the focus from programming to modeling activities. Models may be used as primary artifacts in constructing software, which means that software components are generated from models. Software development tools need to automate as many as possible tasks of model construction and transformation requiring the smallest amount of human interaction. A goal of the proposed workshop is to bring together people working on MD languages, techniques and tools, as well as Domain Specific Languages (DSL) and applying them in the requirements engineering, information system and application development, databases, and related areas, so that they can exchange their experience, create new ideas, evaluate and improve MD approaches and spread its use. The intention is to target an interdisciplinary nature of MD approaches in software engineering, as well as research topics expressed by but not limited to acronyms such as Model Driven Software Engineering (MDSE), Model Driven Software Development (MDSD), Domain Specific Modeling (DSM), and OMG's Model Driven Architecture (MDA). 1st Workshop on MDASD was organized in the scope of ADBIS 2010 Conference, held in Novi Sad, Serbia. From 2012, MDASD becomes a regular bi-annual FedCSIS event. TOPICS Submissions are expected from, but not limited to the following topics: * MD Approaches in System Design and Implementation ? Problems and Issues * MD Approaches in Software Process Models * MD Approaches in Databases and Information Systems * MD Approaches in Software Quality and Standards * Metamodeling, Modeling and Specification Languages * Model Transformation Languages * Model-to-Model, Model-to-Text, and Model-to-Code Transformations in Software Process * Transformation Techniques and Tools * Domain Specific Languages (DSL) and Domain Specific Modeling (DSM) in System Specification and Development * Design of Metamodeling and Modeling Languages and Tools * MD Approaches in Requirements Engineering and Business Process Modeling * MD Approaches in System Reengineering and Reverse Engineering * MD Approaches in HCI development * MD Approaches in GIS development * MD Approaches in Document Engineering * Model Based Software Verification * Theoretical and Mathematical Foundations of MD Approaches * Organizational and Human Factors, Skills, and Qualifications for MD Approaches * Teaching MD Approaches in Academic and Industrial Environments * MD Applications and Industry Experience PAPER SUBMISSION * Authors should submit draft papers (as Postscript, PDF or MSWord file). * The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). * Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. * Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. * Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. * Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. * Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar. * Organizers reserve right to move accepted papers between FedCSIS events. * There is a possibility of selecting extended versions of the best papers presented during the conference for further procedure in the journals: ComSIS, ISI IF(2018) = 0.620, and COLA, ISI IF(2017) = 0.971. IMPORTANT DATES * Paper submission (sharp/no extension): May 15, 2020 * Position paper submission: June 9, 2020 * Author notification: June 30, 2020 * Final paper submission and registration: July 15, 2020 * Conference: September 6 - 9, 2020 WORKSHOP CHAIR * Ivan Lukovic, University of Novi Sad, Serbia (http://www.acs.uns.ac.rs/en/user/10, ivan at uns.ac.rs) STEERING COMMITTEE * Jeff Gray, University of Alabama, USA * Marjan Mernik, University of Maribor, Slovenia * Sonja Ristic, University of Novi Sad, Serbia * Juha-Pekka Tolvanen, MetaCase and University of Jyvaskyla, Finland PROGRAM COMMITTEE * Vasco Amaral, The New University of Lisbon, Portugal * Barrett Bryant, University of North Texas, USA * Zoran Budimac, University of Novi Sad, Serbia * Haiming Chen, Chinese Academy of Sciences, China * Mohammed Erradi, ENSIAS, Mohammed V University, Morocco * Kresimir Fertalj, University of Zagreb, Croatia * Ralf-Christian Haerting, Hochschule Aalen, Germany * Mirjana Ivanovic, University of Novi Sad, Serbia * Jan Janousek, Czech Technical University, Prague, Czech Republic * Maria Joao Varanda Pereira, Instituto Politecnico de Braganca, Portugal * Dimitris Karagiannis, University of Vienna, Austria * Geylani Kardas, Ege University, Turkey * Heiko Kern, University of Leipzig, Germany * Jan Kollar, Technical University of Kosice, Slovakia * Slavica Kordic, University of Novi Sad, Faculty of Technical Sciences, Serbia * Tomaz Kosar, University of Maribor, Slovenia * Nenad Krdzavac, University of Cambridge, Cambridge Centre for Advanced Research and Education, Singapore * Shih-Hsi Alex Liu, California State University, USA * Dragan Macos, Beuth University of Applied Sciences, Berlin, Germany * Manuel Mazzara, Innopolis University, Russia * Simao Melo de Sousa, University of Beira Interior, Portugal * Gordana Milosavljevic, University of Novi Sad, Serbia * Jaroslav Poruban, Technical University of Kosice, Slovakia * Pedro Rangel Henriques, Universidade do Minho, Braga, Portugal * Bran Selic, Malina Software Co., Canada * Jose Luis Sierra Rodriguez, Universidad Complutense de Madrid, Spain * Bostjan Slivnik, University of Ljubljana, Slovenia * Hans Vangheluwe, University of Antwerp, Belgium * Manuel Wimmer, Johannes Kepler University Linz, Austria -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From Albrecht_Zimmermann at gmx.net Fri Mar 20 09:08:33 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Fri, 20 Mar 2020 14:08:33 +0100 Subject: Connectionists: Erratum: ECML PKDD discovery challenge Message-ID: An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Fri Mar 20 07:46:24 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Fri, 20 Mar 2020 13:46:24 +0200 Subject: Connectionists: E-courses on Computer vision, Machine Learning, Autonomous Systems, Image/Video Processing/Analysis, Human-Centered Computing References: <01ff01d5fe11$f64e8da0$e2eba8e0$@csd.auth.gr> Message-ID: <0ad601d5fead$2f478030$8dd68090$@csd.auth.gr> Dear Colleague/Professor, this message is sent to you, as several Universities switch to tele-education, in reaction to COVID-19 pandemic. As a result of my very long University teaching career, complemented by rich dissemination activities in many European funded R&D projects, we have developed a long list of educational material (100+ 1-hour lecture ppts, more under development) and student assessment tools that allow tele-education of one or more of the following senior undergraduate/MSc/PhD full-semester courses: 1) Computer Vision 2) Machine Learning 3) Autonomous Systems 4) Image Processing and Analysis 5) Video Processing and Analysis 6) Human-Centered Computing 7) Social Media Analysis. As an example, the Computer Vision course lecture list is attached (final lecture list from parts A-E can be configured, depending on University rules/priorities). The lecture list of the rest of the courses can be sent upon request. A multitude of other courses can be devised, matching special education needs of any University. Any of these courses can be delivered upon request in various formats (e.g., intensive e-short course, regular e-course with weekly lectures) using tele-education tools (typically Skype for Business) to any audience that has appropriate background (typically senior undergraduate/MSc/PhD students of ECE/CS/EE departments, or other Science/Engineering departments). Educational material can also be delivered to be used by other Professors, upon request Sample educational material can be sent upon request. A lecture example can be found in: http://icarus.csd.auth.gr/wp-content/uploads/2019/12/Fast-convolution-algorithms-sample-slides.pdf Sincerely yours I. Pitas Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 30500+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas leads the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is chair of the IEEE Autonomaous Systems Initiative https://ieeeasi.signalprocessingsociety.org/ https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=en Computer vision lecture list Part A Mathematical foundations of computer vision Mathematical analysis fundamentals Linear algebra fundamentals Geometry fundamentals Part B Image/video acquisition and analysis Introduction to computer vision Digital images and videos Image acquisition Color theory Image/video perception Image registration Edge detection Region segmentation Texture description Image topology 2D shape description and recognition Motion estimation Object detection Object tracking Part C 3D Computer Vision Camera geometry Stereo and Multiview imaging Structure from Motion 3D object Localization and Mapping Semantic 3D world mapping 3D object localization Multiview object detection and tracking Object pose estimation Part D 3D Imaging 3D (volumetric) image processing 3D image geometry and topology 3D image segmentation 3D shape analysis Part E Applications Autonomous systems perception (cars/drones) Human centered computing (face detection, recognition, facial expression recognition, activity recognition) Medical imaging (CT/MRI/X-ray/ultrasonic image/volume analysis, medical image registration) From nc528 at cam.ac.uk Fri Mar 20 12:28:35 2020 From: nc528 at cam.ac.uk (Nikhil Churamani) Date: Fri, 20 Mar 2020 16:28:35 +0000 Subject: Connectionists: [CFP] [Deadline Extended] CVPR'20 Workshop CFP: Workshop on Continual Learning in Computer Vision (CLVision) Message-ID: Dear All, Please note the EXTENDED SUBMISSION DEADLINE is March 27, 2020. Apologies for cross-posting. CLVISION CVPR 2020: Workshop on Continual Learning in Computer Vision https://sites.google.com/view/clvision2020 OVERVIEW During the past few years we have witnessed a renewed and growing attention to Continuous Learning (CL). The interest in CL is essentially twofold. From the artificial intelligence perspective, CL can be seen as another important step towards the grand goal of creating autonomous agents which can learn continuously and acquire new and complex skills and knowledge. From a more practical perspective, CL looks particularly appealing because it enables two important properties: adaptability and scalability. One of the key hallmarks of CL techniques is the ability to update the models by using only recent data (i.e., without accessing old data). This is often the only practical solution when learning on the edge from high-dimensional streaming or ephemeral data, which would be impossible to keep in memory and process from scratch every time a new piece of information becomes available. Unfortunately, when (deep or shallow) neural networks are trained only on new data, they experience a rapid overriding of their weights with a phenomenon known in the literature as catastrophic forgetting. To this end, the goal of the CVPR 2020 Workshop on Continual Learning (CLVISION) is to explore methods that generalize to a continuous stream of tasks, incrementally consolidating their knowledge without interfering with previously learned information. Thus, we encourage submissions that address the problems of learning from a few examples, catastrophic forgetting and online learning, large-scale realistic benchmarks, or bio-inspired systems for continual learning, such as memory and plasticity. In this one-day workshop, we will have regular paper presentations, invited speakers, and technical benchmark challenges to present the current state of the art, as well as the limitations and future directions for computer vision in continual learning, arguably one of the most crucial milestones of computer vision and AI in general. We solicit paper submissions on novel methods and application scenarios of Continual Learning. TOPICS OF INTEREST (include but are not limited to): * Continual/Lifelong learning: Models that are able to adapt to new tasks without forgetting the previously-learned ones. * Few-shot learning: Models that learn from a few examples. * Transfer learning: Models that use new information to improve the performance in previous and novel tasks. * Online learning: Models that can learn online. * Bio-inspired learning: Works that take inspiration in nature to propose fundamental mechanisms for continual learning, such as memory or synaptic plasticity. * Curiosity: Works where the model identifies the most important pieces of information to incorporate new knowledge efficiently. Unsupervised/self-supervised models are welcome. * Metrics: Metrics and benchmarks for continual learning of visual representations. * Experience replay: Experience replay for learning systems and robots. All accepted papers will be presented as posters. Two papers will be selected for oral presentation and one paper will be awarded as the best paper. CLVision CHALLENGE: CLVision workshop also provides a comprehensive 2-phase challenge track to thoroughly assess novel continual learning solutions in the computer vision context based on 3 different continual learning (CL) protocols. With this challenge we aim to: * Invite the research community to scale up CL approaches to natural images and possibly on video benchmarks. * Invite the community to work on solutions that can generalize over multiple CL protocols and settings (e.g. with or without a ?task? supervised signal). * Provide the first opportunity for comprehensive evaluation on a shared hardware platform for a fair comparison. * Provide the first opportunity to show the generalization capabilities (over learning) of the proposed approaches on a hidden continual learning benchmark. More details on the CLVision Workshop Challenge can be found here: https://sites.google.com/view/clvision2020/challenge. SUBMISSION GUIDELINES: * The submitted manuscript should follow the CVPR 2019 paper template. Paper submission through: https://cmt3.research.microsoft.com/CONTVISION2020 * The page limit for a full paper is 8 pages (excluding references) and short-papers is 4-pages (excluding references). * We accept dual submissions to CVPR 2020 and CLVISION 2020, but the manuscript must contain substantial original contents not submitted to any other conference, workshop or journal. * Submissions will be rejected without review if they: * contain more than 8 pages (excluding references). * violate the double-blind policy or violate the dual-submission policy. * The accepted papers will be linked at the workshop webpage and also in the main conference proceedings if the authors agree * Papers will be peer-reviewed under the double-blind policy. IMPORTANT DATES: * Paper submission deadline: March 20th 2020 March 27, 2020 (Anywhere on Earth) * Notification to authors: 2nd April 2020 * Camera-ready deadline: 10th April 2020 (11:59 pm Pacific Time) * Workshop date: June 14, 2020 INVITED SPEAKERS: * Dr Razvan Pascanu, DeepMind. * Prof Chelsea Finn, Assistant Professor at Stanford University. * Prof Cordelia Schmid INRIA Research Director, Head of THOTH Project Team. * Prof David Maltoni, Professor, Universita Di Bologna. * Prof Christopher Kanan, PAIGE, RIT and CornellTech. * Prof Gemma Roig, Ass. Professor at SUTD, MIT. * Subutai Ahmad, VP Research, Numenta. ORGANIZERS: * Pau Rodriguez, Element AI. * German Parisi, University of Hamburg. * David Vazquez, Element AI. * Vincenzo Lomonaco, University of Bologna. * Nikhil Churamani, University of Cambridge. * Zhiyuan (Brett) Chen, Google. * Marc Pickett, Google Research. WORKSHOP WEBSITE https://sites.google.com/view/clvision2020/ PAPER SUBMISSION: https://cmt3.research.microsoft.com/CONTVISION2020 --------------------------- Thanks and Regards Nikhil Churamani PhD Student University of Cambridge Department of Computer Science and Technology William Gates Building 15 JJ Thomson Avenue Cambridge CB3 0FD Phone: +44 1223 767024 Email: Nikhil DOT Churamani AT cl.cam.ac.uk Web: https://www.cl.cam.ac.uk/~nc528 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ala at kth.se Sat Mar 21 08:54:14 2020 From: ala at kth.se (Anders Lansner) Date: Sat, 21 Mar 2020 12:54:14 +0000 Subject: Connectionists: New article on Hebbian synaptic working memory Message-ID: <1584795254488.95109@kth.se> ?Dear Connectionists, I don't normally post paper links and abstracts to this list, but this time I prefer to do it. Hope you enjoy. Feedback is most welcome! Title: An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity Authors: Florian Fiebig, Pawel Herman, and Anders Lansner https://doi.org/10.1523/ENEURO.0374-19.2020? Abstract Working memory (WM) is a key component of human memory and cognition. Computational models have been used to study the underlying neural mechanisms, but neglected the important role of short-term memory (STM) and long-term memory (LTM) interactions for WM. Here, we investigate these using a novel multiarea spiking neural network model of prefrontal cortex (PFC) and two parietotemporal cortical areas based on macaque data. We propose a WM indexing theory that explains how PFC could associate, maintain, and update multimodal LTM representations. Our simulations demonstrate how simultaneous, brief multimodal memory cues could build a temporary joint memory representation as an "index" in PFC by means of fast Hebbian synaptic plasticity. This index can then reactivate spontaneously and thereby also the associated LTM representations. Cueing one LTM item rapidly pattern completes the associated uncued item via PFC. The PFC-STM network updates flexibly as new stimuli arrive, thereby gradually overwriting older representations. Best regards/Anders La *********************************************************** Anders Lansner Professor in Computer Science at Stockholm University Mathematics and KTH Royal Institute of Technology, Department of Computational Science and Technology (EECS/CST) Computational Brain Science Lab ala at kth.se -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sat Mar 21 16:42:57 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sat, 21 Mar 2020 21:42:57 +0100 Subject: Connectionists: Call for Papers --> 11th Workshop on Scalable Computing (WSC'20) In-Reply-To: <2265de42-37bb-54a4-2353-4399bee2c64d@ibspan.waw.pl> References: <2265de42-37bb-54a4-2353-4399bee2c64d@ibspan.waw.pl> Message-ID: <31e344d7-f5a8-ba06-0087-0700bb44276e@amu.edu.pl> CALL FOR PAPERS ************************************************************** Technical Section: 11th Workshop on Scalable Computing (WSC'20) https://www.fedcsis.org/2020/wsc Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020), Track 2 Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ https://www.fedcsis.org/2020/css ************************************************************** The world of large-scale computing continuously evolves. The most recent addition to the mix comes from numerous data streams that materialize from exploding number of cheap sensors installed ?everywhere?, on the one hand, and ability to capture and study events with systematically increasing granularity, on the other. To address the needs for scaling computational and storage infrastructures, concepts like: edge, fog and dew computing emerged. Novel issues in involved in ?pushing computing away from the center? did not replace open questions that existed in the context of grid and cloud computing. Rather, they added new dimensions of complexity and resulted in the need of addressing scalability across more and more complex ecosystems consisting of individual sensors and micro-computers (e.g. Raspberry PI based systems) as well as supercomputers available within the Cloud (e.g. Cray computers facilitated within the MS Azure Cloud). Addressing research questions that arise in individual ?parts? as well as across the ecosystem viewed from a holistic perspective, with scalability as the main focus is the goal of the Workshop on Scalable Computing. In this context, the following topics are of special interest (however, this list is not exhaustive). Covered TOPICS include (but are not limited to): - General issues in scalable computing - Algorithms and programming models for large-scale applications, simulations and systems - Large-scale symbolic, numeric, data-intensive, graph-oriented, distributed computations - Fault-tolerant and consensus techniques for large-scale computing - Resilient large-scale computing - Data models for large-scale applications, simulations and systems - Large-scale distributed databases - Load-balancing / intelligent resource management in large-scale applications, simulations and systems - Performance analysis, evaluation, optimization and prediction - Scientific workflow scheduling - Data visualization - On-demand computing - Virtualization supporting computations - Volunteer computing - Scaling applications from small-scale to exa-scale (and back) - Big data real-time computing / analytics - Economic, business and ROI models for large-scale applications - Emerging technologies for scalable computing - Cloud / Fog / Dew computing architectures, models, algorithms and applications - High performance computing in Cloud / Fog / Dew - Green computing in Cloud / Fog / Dew - Performance, capacity management and monitoring of Cloud / Fog / Dew configuration - Cloud / Fog / Dew application scalability and availability - Big Data cloud services - Architectures for large-scale computations (GPUs, accelerators, quantum systems, federated systems, etc.) - Self* and autonomous computational / storage systems PAPER SUBMISSION: * Authors should submit draft papers (as Postscript, PDF or MSWord file). * The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). * Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. * Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. * Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. * Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. * Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar. * Organizers reserve right to move accepted papers between FedCSIS events. * Extended versions of selected papers presented during the conference will be published as Special Issue(s) of: --- Scalable Computing; Practice and Experience journal --- Journal of Network and Computer Applications (Elsevier, IF = 2.229) --- other journal(s) to be announced later. * For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions IMPORTANT DATES * Paper submission (sharp/no extension): May 15, 2020 * Position paper submission: June 9, 2020 * Author notification: June 30, 2020 * Final paper submission and registration: July 15, 2020 * Conference: September 6 - 9, 2020 PROGRAM COMMITTEE: Barbosa, Jorge, University of Porto, Portugal Camacho, David, Universidad Autonoma de Madrid, Spain Carretero, Jesus D'Ambra, Pasqua, IAC-CNR, Italy Durillo, Juan, Leibniz Supercomputer of the Bavarian Academy of Sciences and Humanities, Germany Garcia Valdez, Mario Gordon, Minor, Software development consultant, United States Gravvanis, George, Democritus University of Thrace, Greece Grosu, Daniel, Wayne State University, United States Holmes, Violeta, The University of Huddersfield, United Kingdom Kalinov, Alexey, Cadence Design Systems, Russia Kecskemeti, Gabor, Liverpool John Moores University, United Kingdom Kitowski, Jacek, AGH University of Science and Technology, Department of Computer Science, Poland Knepper, Richard, Indiana University, United States Lang, Tran Van, Vietnam Academy of Science and Technology, Vietnam Lastovetsky, Alexey, University College Dublin, Ireland Margaritis, Konstantinos G., University of Macedonia, Greece Nosovic, Novica, Faculty of Electrical Engineering, University of Sarajevo, Bosnia and Herzegovina Paw?owski, Wies?aw, University of Gda?sk, Poland Prodan, Radu, University of Klagenfurt, Austria Schikuta, Erich, University of Vienna, Austria Schreiner, Wolfgang, Johannes Kepler University Linz, Austria Shen, Hong, University of Adelaide, Australia Telegin, Pavel, JSCC RAS, Russia Tudruj, Marek, Inst. of Comp. Science Polish Academy of Sciences/Polish-Japanese Institute of Information Technology, Poland Vazhenin, Alexander, University of Aizu, Japan Wei, Wei, School of Computer science and engineering, Xi'an University of Technology, China Wyrzykowski, Roman, Czestochowa University of Technology, Poland Zavoral, Filip, Charles University, Czech Republic TECHNICAL SESSION CHAIRS: Ganzha, Maria, Warsaw University of Technology, Poland Gusev, Marjan, University Sts Cyril and Methodius, Macedonia Paprzycki, Marcin, Systems Research Institute Polish Academy of Sciences, Poland Petcu, Dana, West University of Timisoara, Romania Ristov, Sashko, University of Innsbruck, Austria -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From mike at kopernikusauto.com Sat Mar 21 05:44:59 2020 From: mike at kopernikusauto.com (Mike Woodcock) Date: Sat, 21 Mar 2020 10:44:59 +0100 Subject: Connectionists: [Jobs] Machine Learning Engineer at Kopernikus Automotive Message-ID: <102618b1-629b-4c02-9d89-55c94e1da3d1@Spark> Dear colleagues, Kopernikus Automotive has an open position available for Machine Learning Engineer in Berlin (or remotely) to join the Product Development Team. Kopernikus is a startup based in Berlin working on autonomous self-driving cars to deploy solutions in constrained environments working in partnerships with car manufacturers such as Porche or Continental. What we offer: - Competitive compensation. - Opportunity to join a team working on exciting and challenging problems in hand with big car manufactures. - A position with the potential to participate with ideas and contribute towards the vision of the team and the company. - Variety of benefits including learning budgets. Main task: You will be working with a small team in charge of developing new ideas and approaches to the current products of the company regarding machine learning. The objective of the team is exploring ideas regarding different fields of machine learning, such as self-supervised learning, curriculum learning, multi-task learning, object detection, semantic segmentation etc. You have the potential to contribute significantly to new views and roads for the company and having a significant impact in the direction of the development of the product. What we are looking for - Demonstrable experience or knowledge in machine learning or computer vision. - Interested in understanding, implementing, writing and critiquing ideas and research papers. - Passionate about ML and AVs. - Research-oriented. - Strong python skills. - Familiar with software development and ML frameworks (Pytorch, Tensorflow, AWS, Docker, Git, Linux, etc.). - Experience deploying production machine learning models is a plus. - Familiarity with the whole stack of high-level decision making, motion planning, and low-level control is a plus. - No level of German is required. If you think you are a good fit for the position, please apply at jobs+mle03 at kopernikusauto.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From francisco.pereira at gmail.com Sat Mar 21 15:06:59 2020 From: francisco.pereira at gmail.com (Francisco Pereira) Date: Sat, 21 Mar 2020 15:06:59 -0400 Subject: Connectionists: postdoc position at NIMH Mood, Brain, and Development Unit Message-ID: The NIMH Mood, Brain, and Development Unit is recruiting for multiple post-doc positions, with the possibility of co-mentoring by the NIMH Machine Learning Team. The MBDU studies mood and its effects with longitudinal neuroimaging, Bayesian generative models, and mood modifying cognitive tasks (described here: https://www.biorxiv.org/content/10.1101/815944v1). More details can be found on the full job posting https://github.com/nimh-mbdu/post_doc_job_ad/blob/master/README.md If you are interested, please email your resume, a short cover letter and, optionally, a link to your github repository and/or google scholar profile to: Argyris.Stringaris at mail.nih.gov thank you for your interest! From valentina.ivanova at ri.se Sat Mar 21 16:30:26 2020 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Sat, 21 Mar 2020 20:30:26 +0000 Subject: Connectionists: [CfP] ESWC 2020 - **Submission deadline extended** for Industry Track Message-ID: * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * The 17th European Semantic Web Conference (ESWC 2020) May 31st - June 4th, 2020, Heraklion, Crete, Greece. ESWC is a premier venue for discussing the latest scientific results and innovations in the field of semantic technologies on the Web and Linked Data, attracting a high number of participants from academia and industry alike. Follow us: Web Page: https://2020.eswc-conferences.org/ Twitter: @eswc_conf Facebook: https://www.facebook.com/ESWCCONF LinkedIn: https://www.linkedin.com/groups/8843932/ Become part of ESWC 2020 by submitting to the following tracks & activities! * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * In this announcement: ******************************************* 1. Call for Papers - Industry Track https://2020.eswc-conferences.org/call-for-papers-industry-track/ * Submission deadline: March 27, 2020 (**Extended**) (All deadlines are 23:59 anywhere on earth (UTC-12)) * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * 1. Call for Papers - Industry Track ******************************************* The industry track seeks to present the state of adoption of semantic technologies in industrial applications, and intends to facilitate a discussion about what current industry challenges can be addressed with semantic technologies. These technologies may be used in specific industries (e.g., media, financials, telecommunications, healthcare, life sciences, government, intelligence, public sector, industrial production etc.) and in different application areas (e.g., business intelligence, smart cities, digital twin, analytics, search, content management, knowledge management, recommendation systems, data integration, automotive etc.). The industry track aims to facilitate the exchange between Semantic Web researchers and industrial solution developers to bridge between state-of-the-art research and its application in industrial scenarios. We welcome contributions about: * Success stories of adoption of semantic technologies and knowledge graphs in real-world environments, especially by emphasizing how these technologies have succeeded in creating value as well as key factors for the success of the adoption in a large-scale organization. * Experiences about challenges that are encountered in an industry setting when adopting a solution based on semantic technologies. * Contributions about current challenges in industrial fields which should be tackled by semantic technologies, emphasizing solution approaches and existing issues that are currently only insufficiently addressed by Semantic Web research. Topics of interest include, but are not limited to, the following: * Development and application of semantic technologies and knowledge graphs for specific industries (automotive, financial, healthcare and life sciences, energy industry, industry 4.0, public sector etc.) * Real-world applications of semantic technologies for enabling FAIR (meta) data * Approaches to bridge between domain experts and semantic technology experts * Successful application domains: Knowledge management, data integration, data sharing, search, Business Intelligence, data analytics, open data, enterprise data management etc. * Industrial trends related to the usage of Linked Data, Open Data and Semantic Web technologies * Financial and strategic investments in semantic technologies * Machine Learning approaches in connection with the Semantic Web (e.g. ML for knowledge graph completion or ontology matching, learning of knowledge graph and entity embeddings, question answering, etc) Further info: https://2020.eswc-conferences.org/call-for-papers-industry-track/ == Important Dates == Paper submission: March 27, 2020 (**Extended**) Notification to authors: April 16, 2020 (**Extended**) Camera ready papers due: April 30, 2020 == Industry Track Chairs == Javier D. Fern?ndez, F. Hoffmann-La Roche AG jfernand at wu.ac.at Josiane Xavier Parreira, Siemens AG Austria josiane.parreira at siemens.com Looking forward to your submissions! The ESWC 2020 Organising Team https://2020.eswc-conferences.org/organising-committee/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From midas at iiitd.ac.in Sat Mar 21 01:18:29 2020 From: midas at iiitd.ac.in (MIDAS Lab IIIT Delhi) Date: Sat, 21 Mar 2020 10:48:29 +0530 Subject: Connectionists: IEEE BigMM 2020, New Delhi, India: Call for Papers (Second Round Submission Deadline: 15 April) Inbox x In-Reply-To: References: Message-ID: Dear Colleagues ************************************************************************* Second Round Paper Submission Deadline: 15 April 2020 PST ************************************************************************* Consider submitting your papers to the IEEE BigMM 2020. Kindly share the CFP with others who may wish to submit papers to IEEE BigMM 2020, which will be held at Jawaharlal Nehru University (JNU), New Delhi, in collaboration with Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi). In the first round of paper submission at 6th IEEE BigMM 2020, the acceptance of regular papers was very highly competitive. The acceptance rate was 23%. All regular papers were fairly selected by the strict review process that guaranteed each paper received at least three review reports (average: 3.46 reviews; maximum: 4 reviews). Conflict of interest was also carefully taken into account while assigning the papers for reviews. Thus, we are committed to carefully and fairly reviewing all submitted papers and providing high-quality reviews to authors. We are also excited to inform you that Prof Ramesh Jain from the University of California, Irvine, USA will deliver a keynote at IEEE BigMM 2020 ( http://bigmm2020.org/) in New Delhi, India. Prof Jain does not need any introduction. He is commonly referred to as 'Father of Multimedia Computing'. We expect to have two more eminent researchers from academia and industry as keynote speakers. ------------------------------------------------------------------------ Please accept our apologies if you receive multiple copies of the CFP. ------------------------------------------------------------------------ CALL FOR PAPERS Webpage: http://bigmm2020.org/index.php/calls-for-submission/call-for-papers Submission Instruction: http://bigmm2020.org/index.php/authors/submission-instructions Submission Link: https://easychair.org/conferences/?conf=bigmm2020 The Sixth IEEE International Conference on Multimedia Big Data (BigMM 2020) September 24-26, 2020 Jawaharlal Nehru University New Delhi, India http://bigmm2020.org/ Multimedia is increasingly becoming the ?biggest big data?. It is the most important and valuable source for insights and information as it covers everyone?s experiences and is about everything that is happening in the world. As such, multimedia big data is spurring on a tremendous amount of research and development of related technologies and applications. The IEEE International Conference on Multimedia Big Data (BigMM), jointly sponsored by the IEEE-TCMC (Technical Committee on Multimedia Computing) and IEEE-TCSEM (Technical Committee on Semantic Computing), is a world?s premier forum of leading scholars in the highly active multimedia big data research, development and applications. The sixth IEEE BigMM conference is jointly hosted by the Jawaharlal Nehru University (JNU) and Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), will be held in JNU, New Delhi from September 24 to 26 in 2020. The conference aims to bring together researchers from different areas and solicits high-quality original research papers relevant in any aspect of multimedia big data but not limited to the following broad themes: Multimedia and User Engagement - Social media mining; affective computing - Multimedia search; ranking; summarization - Multimedia recommendation systems - Security and privacy Multimedia Experience - Human-computer interactions, visualization, and navigation - Digital humanities; arts; storytelling - Multimedia applications; multimodal interactions and interfaces Multimedia and Big Data Content Understanding - Multimodal integration and alignment - Vision and language; audio/visual processing - Large scale multimodal content (image/audio/video) understanding and processing Multimedia Systems - Large scale multimedia systems and middleware - Transport and delivery - Large scale multimedia systems and middleware - Green computing; resource-efficient multimedia and big data computing SUBMISSIONS (Paper Length) - Regular Papers: 8 pages - Industry Papers: 8 pages - Short Papers: 4 pages - Student Consortium Papers: 4 pages - Demonstration Papers: 4 pages - Multimedia Grand Challenge Papers: 4 pages - Workshops Papers: 8 pages Note: The above-mentioned page limits are a maximum number of pages in a 2-column IEEE format excluding references. The authors will be given a maximum of 2 additional pages for references. IEEE BigMM 2020 will showcase high quality oral and poster presentations for regular and workshop papers as well as technical demo and grand challenge solution sessions. The review will be done by at least three reviewers. Best papers, posters, technical demos, and multimedia grand challenge solutions will be awarded at the conference. All papers in this conference will be included in the IEEExplore and indexed by EI. IMPORTANT DATES - Round-2 Regular/Industry/Short Paper Submission: April 15, 2020 - Round-2 Regular/Industry/Short Paper Notification: May 31, 2020 - Demonstration/Student Consortium Paper Submission: April 30, 2020 - Demonstration/Student Consortium Paper Notification: May 31, 2020 - Workshop/Grand Challenge Paper Submission: May 15, 2020 - Workshop/Grand Challenge Paper Notification: June 15, 2020 - Camera-ready: June 20, 2020 - Registration Deadline: July 1, 2020 - Conference: September 24-26, 2020 You may check more details at http://bigmm2020.org, https://twitter.com/ieeebigmm, and https://www.facebook.com/ieeebigmm. Sincerely, -- General Co-Chairs of IEEE BigMM 2020: Mohan Kankanhalli, National University of Singapore, Singapore PC Co-Chairs of IEEE BigMM 2020: Rajiv Ratn Shah (rajivratn at iiitd.ac.in), IIIT-Delhi, India Vishy Swaminathan (vishy at adobe.com), Adobe, USA Yi Yu (yiyu at nii.ac.jp), NII, Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From shmuhammad.csc at buk.edu.ng Sun Mar 22 11:31:55 2020 From: shmuhammad.csc at buk.edu.ng (Shamsuddeen Hassan Muhammad) Date: Sun, 22 Mar 2020 15:31:55 +0000 Subject: Connectionists: CfP: AI4Narratives@IJCAI2020 - First International Workshop on Artificial Intelligence for Narratives, July 13, 2020 =?utf-8?Q?=E2=80=93_?=Yokohama, Japan References: Message-ID: <8cfbf1fc-9257-4d66-b9d4-227778692dec@Spark> *** Apologies for cross-posting *** Please, feel free to redistribute! COVID-19 Information: In case IJCAI 2020 goes virtual, the organizers of this workshop intend to assure it will run virtually as well, as smoothly and as lively as possible. The aim is to keep the community working and keep sharing our discoveries. ++ CALL FOR PAPERS ++ ****************************************************************************************** First International Workshop on Artificial Intelligence for Narratives (AI4Narratives?20) to be held in conjunction with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI2020) Website:?ai4narratives20.inesctec.pt ****************************************************************************************** ++ Important Dates ++ - Submission deadline: April 23rd, 2020 - Acceptance Notification Date: May 20th, 2020 - Camera-ready copies: June 6th, 2020 - Workshop: July 13th, 2020 ++ Overview ++ This workshop aims to bring together AI researchers and practitioners working on the topic of Narratives, mainly for those working on NLP, but open to other relevant inputs in this emerging area. We invite researchers and practitioners to submit research papers, demo papers, position papers and nectar papers. ++ List of Topics ++ Contributions on the following topics are welcome, as well as on other not listed but highly relevant topics. - Narrative Extraction from text, including social media. - Narrative Understanding. - Storyfication of non-textual data, including image, video, financial, weather, sports and sensor data. - Narrative formalisation and reasoning on narratives, including representation formalisms and narrative ?calculus. - Representing Narratives graphically or in other forms of communication, including infographics, cartoons, slide shows, video-clips, video-games, etc. - Generation of textual narratives, including narrative construction, narrative creation, planning and problem solving for narratives. - Narrative Temporal Reasoning. - Bias in Narrative Generation. - Applications of narrative extraction and generation, including media, health care, science, sports, industry, business and administration, education, recommender systems and XAI. - Evaluation methodologies for Narrative Extraction and Generation. - Related methods for narrative construction, including abstractive summarization, reinforcement learning, transfer learning, and so on. ++ Submission Guidelines ++ We encourage the following kinds of submissions: - Research papers (max 6 pages + references) with original work, promoting and sharing exciting new ideas and fostering discussion or describing well founded impactful applications - Demo papers (max 3 pages + references) describing relevant tools - Position papers (max 3 pages + references) describing relevant and supporting points of view, including a description of ongoing projects - Nectar papers (max 3 pages + references) with a summary of work published in other conferences or journals that is worthwhile sharing with the community Papers must be submitted electronically in PDF format through EasyChair (easychair.org/conferences/?conf=ai4narratives2020). All submissions must be in English and formatted according to according to the IJCAI format style (www.ijcai.org/authors_kit). Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (usually indexed on DBLP). We also plan to launch a special journal issue on the topic. ++ Workshop Format ++ Accepted works will be assigned oral presentations and/or demo slots and/or poster presentations. ++ Invited Speakers ++ ?TBA ++ Organizing committee ++ - Al?pio M. Jorge (INESC TEC; University of Porto, Portugal) - Ricardo Campos (INESC TEC; Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar, Tomar, Portugal) - Adam Jatowt (Kyoto University, Japan) - Akiko Aizawa (NII Tokyo, Japan) ++ Proceedings Chair ++ ? Jo?o Paulo Cordeiro (INESC TEC; University of Beira Interior) ++ Media and Dissemination Chair ++ ? Arian Pasquali (INESC TEC) ? Brenda Santana (INESC TEC) - Shamsuddeen Muhammad (INESC TEC) ++ Review Support Chair ++ ? Daniel Loureiro (INESC TEC) ++ Program Committee?(to be extended)?++ Ant?nio Branco (Universidade de Lisboa) Bruno Martins (IST and INESC-ID - Instituto Superior T?cnico, University of Lisbon) Daniel Loureiro (University of Porto) Dhruv Gupta (Max Planck Institute for Informatics) Florian Boudin (Universit? de Nantes) Georgiana Ifrim (University College Dublin) Grigorios Tsoumakas (Aristotle University of Thessaloniki) Joeran Beel (Trinity College Dublin) Kiran Kumar Bandeli (Walmart Inc.) Mark Finlayson (Florida International University) Muhammad Pozi (Universiti Utara Malaysia) O-Joun Lee (Pohang University of Science and Technology) Pablo Gerv?s (Universidad Complutense de Madrid) Paulo Quaresma (Universidade de ?vora) Satya Almasian (Heidelberg University) Yihong Zhang (Osaka University) ++ Contacts ++ Website:?ai4narratives20.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: ?amjorge at fc.up.pt,?ricardo.campos at ipt.pt,?adam at dl.kuis.kyoto-u.ac.jp,?aizawa at nii.ac.jp -------------- next part -------------- An HTML attachment was scrubbed... URL: From mycolleagues at mailman.ufsc.br Sat Mar 21 01:18:29 2020 From: mycolleagues at mailman.ufsc.br (MIDAS Lab IIIT Delhi via Mycolleagues) Date: Sat, 21 Mar 2020 10:48:29 +0530 Subject: Connectionists: [Mycolleagues] IEEE BigMM 2020, New Delhi, India: Call for Papers (Second Round Submission Deadline: 15 April) Inbox x In-Reply-To: References: Message-ID: Dear Colleagues ************************************************************************* Second Round Paper Submission Deadline: 15 April 2020 PST ************************************************************************* Consider submitting your papers to the IEEE BigMM 2020. Kindly share the CFP with others who may wish to submit papers to IEEE BigMM 2020, which will be held at Jawaharlal Nehru University (JNU), New Delhi, in collaboration with Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi). In the first round of paper submission at 6th IEEE BigMM 2020, the acceptance of regular papers was very highly competitive. The acceptance rate was 23%. All regular papers were fairly selected by the strict review process that guaranteed each paper received at least three review reports (average: 3.46 reviews; maximum: 4 reviews). Conflict of interest was also carefully taken into account while assigning the papers for reviews. Thus, we are committed to carefully and fairly reviewing all submitted papers and providing high-quality reviews to authors. We are also excited to inform you that Prof Ramesh Jain from the University of California, Irvine, USA will deliver a keynote at IEEE BigMM 2020 ( http://bigmm2020.org/) in New Delhi, India. Prof Jain does not need any introduction. He is commonly referred to as 'Father of Multimedia Computing'. We expect to have two more eminent researchers from academia and industry as keynote speakers. ------------------------------------------------------------------------ Please accept our apologies if you receive multiple copies of the CFP. ------------------------------------------------------------------------ CALL FOR PAPERS Webpage: http://bigmm2020.org/index.php/calls-for-submission/call-for-papers Submission Instruction: http://bigmm2020.org/index.php/authors/submission-instructions Submission Link: https://easychair.org/conferences/?conf=bigmm2020 The Sixth IEEE International Conference on Multimedia Big Data (BigMM 2020) September 24-26, 2020 Jawaharlal Nehru University New Delhi, India http://bigmm2020.org/ Multimedia is increasingly becoming the ?biggest big data?. It is the most important and valuable source for insights and information as it covers everyone?s experiences and is about everything that is happening in the world. As such, multimedia big data is spurring on a tremendous amount of research and development of related technologies and applications. The IEEE International Conference on Multimedia Big Data (BigMM), jointly sponsored by the IEEE-TCMC (Technical Committee on Multimedia Computing) and IEEE-TCSEM (Technical Committee on Semantic Computing), is a world?s premier forum of leading scholars in the highly active multimedia big data research, development and applications. The sixth IEEE BigMM conference is jointly hosted by the Jawaharlal Nehru University (JNU) and Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), will be held in JNU, New Delhi from September 24 to 26 in 2020. The conference aims to bring together researchers from different areas and solicits high-quality original research papers relevant in any aspect of multimedia big data but not limited to the following broad themes: Multimedia and User Engagement - Social media mining; affective computing - Multimedia search; ranking; summarization - Multimedia recommendation systems - Security and privacy Multimedia Experience - Human-computer interactions, visualization, and navigation - Digital humanities; arts; storytelling - Multimedia applications; multimodal interactions and interfaces Multimedia and Big Data Content Understanding - Multimodal integration and alignment - Vision and language; audio/visual processing - Large scale multimodal content (image/audio/video) understanding and processing Multimedia Systems - Large scale multimedia systems and middleware - Transport and delivery - Large scale multimedia systems and middleware - Green computing; resource-efficient multimedia and big data computing SUBMISSIONS (Paper Length) - Regular Papers: 8 pages - Industry Papers: 8 pages - Short Papers: 4 pages - Student Consortium Papers: 4 pages - Demonstration Papers: 4 pages - Multimedia Grand Challenge Papers: 4 pages - Workshops Papers: 8 pages Note: The above-mentioned page limits are a maximum number of pages in a 2-column IEEE format excluding references. The authors will be given a maximum of 2 additional pages for references. IEEE BigMM 2020 will showcase high quality oral and poster presentations for regular and workshop papers as well as technical demo and grand challenge solution sessions. The review will be done by at least three reviewers. Best papers, posters, technical demos, and multimedia grand challenge solutions will be awarded at the conference. All papers in this conference will be included in the IEEExplore and indexed by EI. IMPORTANT DATES - Round-2 Regular/Industry/Short Paper Submission: April 15, 2020 - Round-2 Regular/Industry/Short Paper Notification: May 31, 2020 - Demonstration/Student Consortium Paper Submission: April 30, 2020 - Demonstration/Student Consortium Paper Notification: May 31, 2020 - Workshop/Grand Challenge Paper Submission: May 15, 2020 - Workshop/Grand Challenge Paper Notification: June 15, 2020 - Camera-ready: June 20, 2020 - Registration Deadline: July 1, 2020 - Conference: September 24-26, 2020 You may check more details at http://bigmm2020.org, https://twitter.com/ieeebigmm, and https://www.facebook.com/ieeebigmm. Sincerely, -- General Co-Chairs of IEEE BigMM 2020: Mohan Kankanhalli, National University of Singapore, Singapore PC Co-Chairs of IEEE BigMM 2020: Rajiv Ratn Shah (rajivratn at iiitd.ac.in), IIIT-Delhi, India Vishy Swaminathan (vishy at adobe.com), Adobe, USA Yi Yu (yiyu at nii.ac.jp), NII, Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- ------------------------------------------------------- We love you. We are sorry. Please forgive us. Thank you. _______________________________________________ Mycolleagues mailing list Mycolleagues at mailman.ufsc.br https://mailman.ufsc.br/mailman/listinfo/mycolleagues - Through this links above you can "subscribe", "unsubscribe", or change your settings in the list. OR - Easy unsubscribe: https://mailman.ufsc.br/mailman/options/mycolleagues From lucas.bechberger at uni-osnabrueck.de Mon Mar 23 06:50:33 2020 From: lucas.bechberger at uni-osnabrueck.de (Lucas Bechberger) Date: Mon, 23 Mar 2020 11:50:33 +0100 Subject: Connectionists: Final CfA CARLA 2020 @ Bolzano Summer of Knowledge Message-ID: <04b29abb-8d2e-55d5-5298-626253d33ac8@uni-osnabrueck.de> The first international workshop ?Concepts in Action: Representation, Learning, and Application? (https://www.conceptuccino.uni-osnabrueck.de/carla_workshop/carla_2018.html) took place at the Institute of Cognitive Science of Osnabr?ck University in 2018. Following its great success, we are organizing a second international workshop ?Concepts in Action: Representation, Learning, and Application? (CARLA) in 2020. We invite the submission of extended abstracts to the workshop for oral or poster presentations. *Time and Venue: * September 22 and September 23, 2020, in Bolzano (Italy), as part of the Bolzano Summer of Knowledge (https://summerofknowledge.inf.unibz.it/). *IMPORTANT:* Depending on how the situation with respect to the Corona virus develops, the workshop might be moved to a different time and location or perhaps online. We will monitor the situation and keep you updated about any changes. *Invited **Speakers**:* /Mattis List //(https://www.shh.mpg.de/person/51419), Max Planck Institute for the Science of Human History, Jena (Germany)/ /Marianna Bolognesi (//https://mariannabolognesi.academia.edu///), University of Bologna, Bologna (Italy)/ *Call for Abstracts:* "Concepts in Action: Representation, Learning, and Application" (CARLA) is an international workshop aimed at fostering interdisciplinary exchange about research on concepts. It invites contributions from all fields related to cognitive science, including (but not limited to) linguistics, artificial intelligence, psychology, philosophy, logic, and computer science. Although the workshop is open for research on any aspect of concepts, there exists a set of core topics that are of special interest: * *Representation*: /How can we formally describe and model concepts?/ * *Learning*: /Where do concepts come from and how are they acquired?/ * *Application*: /How are concepts used in cognitive tasks?/ This workshop provides an excellent opportunity to present and discuss ongoing research on concepts. We invite concept researchers from all fields related to cognitive science to submit abstracts to the workshop for oral or poster presentations. *Submission and Publication:* We invite the submission of extended abstracts via *until ***April 30, 2020**. We will send out acceptance notifications by May 31, 2020. The extended abstracts can use up to three pages (including references) and should be uploaded as pdf based on the following template (LaTeX or Word) which is based on Springer?s LNCS style: https://www.conceptuccino-cms.uni-osnabrueck.de/fileadmin/documents/public/Documents/CARLA_2020/abstract_template.zip For both submission and publication of the accepted abstracts, we use OpenReview.net: https://openreview.net/group?id=conceptuccino.uni-osnabrueck.de/CARLA/2020/Workshop *Further Information:* More information can be found on our website: https://www.conceptuccino.uni-osnabrueck.de/carla_workshop/carla_2020.html Should you have any questions, please contact us anytime at concepts at uni-osnabrueck.de . Best regards, The organizing committee (Lucas Bechberger, Ulf Krumnack, Kai-Uwe K?hnberger, Mingya Liu) -- Lucas Bechberger Artificial Intelligence Research Group Institute of Cognitive Science Osnabr?ck University Wachsbleiche 27, Room 50/310 D-49090 Osnabr?ck Phone: +49-541-969-3400 E-Mail:lucas.bechberger at uni-osnabrueck.de Homepage:https://www.lucas-bechberger.de -- Lucas Bechberger Artificial Intelligence Research Group Institute of Cognitive Science Osnabr?ck University Wachsbleiche 27, Room 50/310 D-49090 Osnabr?ck Phone: +49-541-969-3400 E-Mail: lucas.bechberger at uni-osnabrueck.de Homepage: https://www.lucas-bechberger.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5406 bytes Desc: S/MIME Cryptographic Signature URL: From marinella.petrocchi at iit.cnr.it Mon Mar 23 07:27:40 2020 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Mon, 23 Mar 2020 12:27:40 +0100 Subject: Connectionists: Extended deadline: Disinformation, Hoaxes and Propaganda within Online Social Networks and Media Message-ID: <44ec20826717fffec9c7ccf4b6d3579c@iit.cnr.it> CALL FOR PAPERS Elsevier - Online Social Networks and Media Journal http://www.journals.elsevier.com/online-social-networks-and-media/ Special Issue on Disinformation, Hoaxes and Propaganda within Online Social Networks and Media Submission Deadline Extended: *April, 30 2020* Note from guest editors: due to the COVID-19 impact on our research and lives, we believe it is fair to give more time to our authors. We decided to extend the deadline for six weeks, so everyone has time to adapt to the new situation and polish the papers for our special issue. We welcome papers that show analysis on dis/misinformation about COVID-19. ********************************************************************************************************************************************************************** Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website. ********************************************************************************************************************************************************************** Online Social Networks and Media natively convey the information quickly and diffusely. They are 'optimised' for posting and sharing catchy and sensationalist news. Problematic messages may span biased information aiming to influence communities and agendas to deliberate lies meant to mislead users. Whatever the strategy adopted for spreading false news (like support of automatic accounts and presence of trolls to inflame crowds), this would not be effective if there were no audience willing to believe them. The quest for belonging to a community and reassuring answers, the adherence to one's viewpoint: these are key factors for people to contribute to the success of disinformation diffusion. That's why the battle against disinformation must be fought at both technological and sociological level. This special issue seeks high-quality scientific articles (both theoretical and experimental) on using Online Social Networks and Media (OSNEM) data for the analysis of hoaxes, propaganda, and disinformation fabrication and spread on social media, automatic techniques to be embedded in OSNEM platforms to block/prevent their diffusion, and countermeasures to dissuade people to believe/diffuse them. Areas of interest include, but are not limited to, the design and implementation of methodologies and techniques to detect disinformation and/or raise the users' awareness to the threats represented by disinformation, including: - Modelling and analysis techniques to study/predict the dynamics of the spread of disinformation; - Text mining, graph mining, network and behavioural analyses to detect disinformation; - Reputation systems to support the detection - or mitigate the effects - of disinformation; - Disinformation strategies; - Understanding and guiding the societal reaction in the presence of disinformation; - Supervised/unsupervised approaches to let accounts? automation degree emerge from the crowd; - Computational fact-checking; - Detection of information polarization in online communities; - Definition and evaluation of novel metrics to verify news veracity; - Domain-free approaches to fight disinformation (i.e., context independent w.r.t. accounts, news, reviews, posts, tweets, etc..); - Interplay between OSNEM social network structures and diffusion/prevention of disinformation; - Behavioural models behind disinformation diffusion/prevention obtained from large-scale OSNEM data. Data-driven approaches, supported by publicly available datasets, are more than welcome. Guest Editors Yelena Mejova, ISI Foundation, Turin, Italy Marinella Petrocchi, IIT-CNR, Italy Carolina Scarton, University of Sheffield, UK *** Instructions for submission *** Manuscripts must not have been previously published nor currently under review by other journals or conferences. Papers previously published in conference proceedings are eligible for submission if the submitted manuscript is a substantial revision and extension of the conference version. In this case, authors should indicate the previous publication(s) in the cover letter and are also required to submit their published conference article(s) and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www.editorialmanager.com/osnem/default.aspx. Please select "VSI:Disinformation" when you reach the "Article Type" step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on Disinformation, Hoaxes and Propaganda within Online Social Networks and Media. For further information, please contact the guest editors at yelena.mejova at gmail.com marinella.petrocchi at iit.cnr.it c.scarton at sheffield.ac.uk -- Marinella Petrocchi Institute of Informatics and Telematics (IIT) National Research Council (CNR) Pisa (Italy) Mobile: +39 348 8260773 Skype: m_arinell_a Web: http://www.iit.cnr.it/staff/marinella.petrocchi `Luck is a matter of geography' (Bandabardo') From dpinots at yahoo.com Mon Mar 23 10:29:55 2020 From: dpinots at yahoo.com (Dimitris Pinotsis) Date: Mon, 23 Mar 2020 14:29:55 +0000 (UTC) Subject: Connectionists: Post Doc in Computational Neuroscience and EEG neurofeedback References: <493473532.596027.1584973795346.ref@mail.yahoo.com> Message-ID: <493473532.596027.1584973795346@mail.yahoo.com> The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at University of London?City is looking for a Post Doc with a strong background in computational neuroscience and EEG neurofeedback. ? The Lab focuses on developing new algorithms for the analysis of human and animal brain imaging data. These are based on computational models of neural dynamics and state of the art machine learning techniques. Particular emphasis is put on applications in Computational Psychiatry and developing models of brain pathology. Also, the Lab develops brain theories that can explain brain pathology, using theoretical tools from deep neural networks and Bayesian brain theories. The lab also performs EEG recordings and plans to start experiments with EEG neurofeedback. ? The Post Doc shall conduct research in one or more of these areas. He/she will have the opportunity to shape the details of their project based on their specific interests. ? The successful candidate should have a PhD in computational neuroscience, computer science, engineering, physics or related discipline. Expertise in one or more modern scientific computingprogramming language (Python, Matlab or R) is essential. The candidate shouldalso have familiarity with one or both of: i) the analysis of human and/or animal brain imaging data, and ii) EEG experiments, in particular EEG neurofeedback. ? For informal inquiries, please email Dr. Dimitris Pinotsis at pinotsis at mit.edu Dimitris Pinotsis, PhD (Cambridge) www.pinotsislab.com? @dimitrispp Associate Professor?Centre for Mathematical Neuroscience and Psychology? ??Department of Psychology? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? University of London???City? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? Research Affiliate The Picower Institute for Learning and MemoryDepartment of Brain and Cognitive SciencesMassachusetts Institute of Technology (MIT) [e] pinotsis at mit.edu[e] pinotsis at city.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.goodman at imperial.ac.uk Mon Mar 23 15:26:31 2020 From: d.goodman at imperial.ac.uk (Dan Goodman) Date: Mon, 23 Mar 2020 19:26:31 +0000 Subject: Connectionists: announcing neuromatch online unconference, 30-31st March Message-ID: <74452d3b-ace0-54b2-43c9-2ad130123296@imperial.ac.uk> Hi everyone, Conference cancelled due to coronavirus? Don't worry! Next week we are running neuromatch: a free, online (computational-ish) neuroscience unconference. Register now at: https://www.neuromatch.io/ March 30-31 will feature invited speakers including: - Yoshua Bengio (Mila) - Kate Jeffery (UCL) - Russ Poldrack (Stanford) - Maria Geffen (UPenn) - Tim Behrens (Oxford) - Nicole Rust (UPenn) - Danielle Bassett (UPenn) There will also be contributed talks / virtual posters. Please send your title and abstract (< 200 words) to "neuromatchconf at gmail.com" by March 25th. We welcome student and postdoc contributions in particular. We know that many people have severe time constraints these days, so we're doing our best to be as flexible as possible about presentation times, and you can present any time in your own time zone or others. The rest of the week, and the week after (Mar 29 - Apr 10) we will be running an extended mind matching session to replace the all important conference coffee breaks. This is an online version of the mind matching sessions run at the last two CCN conferences. You submit a sample of a few abstracts that represent the work you're interested in when you register, and we automatically match you with 6 other scientists with similar interests for 15-20m chats (excluding people you already know). For those who haven't tried it, it's amazingly effective. At CCN I met two people I'd never met before working on extremely similar projects to me. Also, we're hoping this format will catch on not only during the coronavirus crisis but afterwards as well to help reduce the climate impact of academic conferences. Please do get in touch if you'd like to adopt the platform for your own conference (everything is or will be open sourced). All the best, Dan Goodman - http://neural-reckoning.org/ Konrad Kording - http://kordinglab.com/ Brad Wyble - http://wyblelab.com/ From roland.w.fleming at psychol.uni-giessen.de Tue Mar 24 08:16:00 2020 From: roland.w.fleming at psychol.uni-giessen.de (Roland W Fleming) Date: Tue, 24 Mar 2020 12:16:00 +0000 Subject: Connectionists: W1 Professor for Neural Computation at JLU Giessen Message-ID: <20200324121600.Horde.MAdKZgOlBwX6Qjw3pKJjqtW@wm.hrz.uni-giessen.de> JLU Giessen has an open faculty position that may be of interest to readers of the list.? We would strongly encourage researchers with expertise in computational modelling of human sensory processes, or applications of neural computation methods to visual computing (e.g., computer graphics, VR, machine vision) to apply.? Feel free to contact me with informal inquiries. ? Best wishes, Roland Fleming? ? see: http://www.academicjobseu.com/content/jobsearch/job_advert.asp?jobadid=21679 ? --------- ? Owing to the successful application to the German federal-state programme for promoting early-career researchers (tenure-track programme), the Faculty of Mathematics and Computer Science, Physics, Geography invites applications for a ? W1 PROFESSORSHIP (WITH W2 TENURE TRACK) FOR NEURAL COMPUTATION ? The position is offered with the earliest possible starting date for a period of six years pursuant to ? 64 Para. 3 and 4 Hessian Higher Education Act (HHG). ? According to ? 64 Para. 3 HHG, the applicant should have gained a doctoral degree at an institution of higher education other than Justus Liebig University Giessen (JLU) or have been in academic employment at an institution other than JLU for at least two years after conferral of a doctoral degree. ? The duration of said post-doctoral employment may not exceed four years or, in the case of successful completion of further academic training pursuant to ? 62 Para. 6 HHG, may not exceed seven years. ? In the case of successful completion of the six-year W1 position, which is to be assessed in an evaluation procedure pursuant to ? 64 Para. 2 HHG, the appointment will be converted into a permanent W2 professorship. ? Proficient knowledge of German is expected. ? DUTIES: ? Your research area focuses on mathematical and/or biophysical modelling of perceptual processes and their neural signatures as well as the processing of these using computer-based data analysis. Interdisciplinary cooperation with colleagues in applied mathematics and the focus area of JLU in perception psychology as well as close collaboration with the core facility for high-performance computing are cornerstones of emerging research programs. During your work at JLU, successes in the independent acquisition of third-party funds as well as a commitment in joint association applications are expected. You will teach in the bachelor and master study programs of JLU, in particular in the fields of applied mathematics. Contributions to the implementation of novel study programs such as the new bachelor/master program in data science are expected. This program combines mathematics, computer science and physics within the faculty and extends into other fields that apply big data technologies. You will develop a curriculum on the application of computer-based algorithms to the understanding of neuronal processes. You provide lectures for psychology students on basic big data skills and computer algorithms with a focus on the underlying mathematics on a regular basis. Substantial contributions to teaching for all members of the university as part of the digitalization strategy plan are expected. Integration of gender aspects in teaching is highly encouraged. ? REQUIREMENTS ? We are looking for an exceptionally qualified young-career scientist with a track record of research in the above-mentioned fields. Scientists working in neighboring areas of neuro-science, machine learning and artificial intelligence, who want to contribute to the development of this interdisciplinary field, are encouraged to apply. International visibility as demonstrated by peer-reviewed publications, is expected, as is some experience with applications for third-party funding. Didactic skills as well as exceptional research capabilities are expected. An international research portfolio and the ability to teach in English are required. ? The JLU aims to employ more women in academic research. ? We therefore particularly encourage female candidates to apply. ? JLU also pursues the goal at faculty leadership level of increased competence in dealing with gender and family-related issues. ? JLU is regarded as a family-friendly university. ? Applicants with children are very welcome. ? Applications from disabled people of equal aptitude will be given preference. ? Please send your letter of application (no e-mails, please) with a CV and a documentation of your qualifications and teaching competence to: The President of Justus Liebig University Giessen, Erwin-Stein-Gebaeude, Goethestrasse 58, 35390 Giessen, Germany, quoting reference number 7-05/20. ? Applications must be received by April 16th, 2020 at the latest. ? Candidates are strongly recommended to refer to our webpage on application procedures at https://www.uni-giessen.de/org/admin/dez/c/beschaeftigung/professuren/merkblatt-englisch. ? Please only submit copies of your application documents without document files or folders, as they cannot be returned after the application procedure has been completed. -- Prof. Roland W. Fleming, PhD FB06 Allg. Psychologie Otto-Behaghel-Str. 10F 35394 Giessen +49 (0)641 99-26140 -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.dorrn at fz-juelich.de Tue Mar 24 11:57:53 2020 From: a.dorrn at fz-juelich.de (a.dorrn at fz-juelich.de) Date: Tue, 24 Mar 2020 16:57:53 +0100 Subject: Connectionists: Bernstein Conference 2020 - extended deadline for Workshop Proposals Message-ID: <4ac1ede8-7dab-59c7-5195-cd34b58a09cd@fz-juelich.de> Please note that the deadline for Workshop Proposals for the Bernstein Conference 2020 has been extended until April 30. Further information can be found here: https://www.bernstein-network.de/en/bernstein-conference/2020/satellite-workshops?set_language=en The Bernstein Conference has established itself as the largest annual Computational Neuroscience conference in Europe attracting an international audience from across the world. The Satellite Workshops provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. www.bernstein-conference.de As organizers of the Bernstein Conference, we take the current situation regarding COVID-19 seriously and monitor the developments thoroughly. We are aware of the vast impact this crisis has on regular lab life, scientific collaborations and also private lives. In order to keep scientific exchange alive and fruitful we are exploring possibilities on how to make the Bernstein Conference happen in case travel and contact restrictions remain until late summer. Please be assured that we will keep you updated. ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Wed Mar 25 06:09:31 2020 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Wed, 25 Mar 2020 11:09:31 +0100 Subject: Connectionists: Covid-19 update: ISWC 2020 to be a virtual conference Message-ID: <3C35A914-14CA-47B5-8B2C-E85EB989604A@gmail.com> Dear ISWC community, We have been monitoring the situation evolving around Covid-19 closely and after much deliberation and considering the contingency and prevention measures that have recently been put into place, we decided that ISWC 2020 will be a virtual conference. Our primary concern is the health and wellbeing of our community members and the challenging circumstances that might be directly affecting them. We will be providing detailed information on the ISWC web site [1] in the following days but can already inform about the following changes: ? Remote participation: We are working with the local organizers to put together technical infrastructure for remote presentations as well as techniques to maximize social engagement and encourage community participation. As travel is no longer required, we hope to reach a much wider audience. ? Extended deadlines: We are extending all deadlines and will publish updated timelines shortly. If you?ve already submitted your paper, you?re welcome to update it until the new deadline. ? Registration fees: We hope to substantially reduce the registration fees because of the reduction in physical resources required. We will provide more details when we?ve worked out how much the infrastructure and support will cost. There are several logistical issues that have to still be worked out and we would appreciate your patience and support while we come up with suitable solutions. ISWC 2020 needs your support to keep going so please submit papers, participate (remotely) and help us make this (virtual) conference a success!! The ISWC Organizing Committee [1] https://iswc2020.semanticweb.org From sepand.haghighi at yahoo.com Wed Mar 25 11:56:42 2020 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Wed, 25 Mar 2020 15:56:42 +0000 (UTC) Subject: Connectionists: PyCM 2.6 released: Machine learning library for confusion matrix statistical analysis References: <272092130.1911298.1585151802339.ref@mail.yahoo.com> Message-ID: <272092130.1911298.1585151802339@mail.yahoo.com> https://github.com/sepandhaghighi/pycm http://www.pycm.ir Changelog : - custom_rounder?function added?#279 - complement?function added - sparse_matrix?attribute added?#185 - sparse_normalized_matrix?attribute added?#185 - Net benefit (NB) added?#264 - Yule's Q interpretation (QI) added?#267 - Adjusted Rand index (ARI) added?#270 - TNR micro/macro added?#284 - FPR micro/macro added?#284 - FNR micro/macro added?#284 - sparse?parameter added to?print_matrix,print_normalized_matrix?and?save_stat?methods?#185 - header?parameter added to?save_csv?method?#282 - Handler functions moved to?pycm_handler.py - Error objects moved to?pycm_error.py - Verified tests references updated - Verified tests moved to?verified_test.py - Test system modified - CONTRIBUTING.md?updated - Namespace optimized - README.md?modified?#266 - Document modified - print_normalized_matrix?method modified?#279 - normalized_table_calc?function modified?#279 - setup.py?modified - summary mode updated?#284 - Dockerfile updated - Python 3.8?added to?.travis.yaml?and?appveyor.yml Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Wed Mar 25 17:20:19 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 25 Mar 2020 22:20:19 +0100 Subject: Connectionists: FedCSIS 2020 -- Data Mining Competition -- top prize USD 1500 In-Reply-To: <04680607-0d09-41f8-537b-6108569bcd55@ibspan.waw.pl> References: <04680607-0d09-41f8-537b-6108569bcd55@ibspan.waw.pl> Message-ID: <6316b6d9-6a81-3a92-5128-7e93164014ca@amu.edu.pl> FedCSIS 2020 Data Mining Competition Challenge: Network Device Workload Prediction FedCSIS 2020 Data Mining Challenge: Network Device Workload Prediction is the seventh data mining competition organized in association with Conference on Computer Science and Information Systems (https://fedcsis.org/). This time, the considered task is related to the monitoring of large IT infrastructures and the estimation of their resource allocation. The challenge is sponsored by EMCA Software and Polish Information Processing Society (PTI). OVERVIEW: EMCA Software is a Polish vendor of Energy Logserver - a system capable of collecting data from various log sources to provide in-depth data analysis and alerting to its end-users. EMCA is based in Poland but also operates in Nordics, APAC, and the USA, through the partner channels. The company focuses on cybersecurity and IT infrastructure monitoring use cases, intending to deliver a system that is ready-to-use and offers inbox correlations and predictions on monitored data. By this challenge, we want to help EMCA to answer the question of whether it is possible to reliably predict workload-related characteristics of monitored devices, based on historical data gathered from such devices. This task is of paramount importance for IT and technical teams that can put their hands on a tool that allows them to manage the capacity of their infrastructure. An additional difficulty within this challenge, and also the reason why it might be especially interesting for the data science community, arises from the fact that devices considered in the data are not uniform. In essence, logs cover readings from various types of hardware. Some of them are cross-dependent, as they are a part of the same IT system. Moreover, some devices have multiple interfaces for which the data is aggregated. DETAILS: More details regarding the task and a description of the challenge data can be found in the Task description section (see: https://knowledgepit.ml/fedcsis20-challenge/) SPECIAL SESSION at FedCSIS 2020: As in previous years, a special session devoted to the competition will be held at the conference. We will invite authors of selected challenge reports to extend them for publication in the conference proceedings (after reviews by Organizing Committee members) and presentation at the conference. The papers will be indexed by the IEEE Digital Library and Web of Science. The invited teams will be chosen based on their final rank, innovativeness of their approach, and quality of the submitted report. AWARDS: Authors of the top-ranked solutions (based on the final evaluation scores) will be awarded prizes funded by our sponsors: First Prize: 1500 USD + one free FedCSIS'20 conference registration, Second Prize: 1000 USD + one free FedCSIS'20 conference registration, Third Prize: 500 USD + one free FedCSIS'20 conference registration. The award ceremony will take place during the FedCSIS'20 conference. Please note that the winners will only be eligible for the money prizes only if their final score exceeds the baseline solution score by at least 10%. For all additional details, see: https://knowledgepit.ml/fedcsis20-challenge/ or contact: Piotr Biczyk Andrzej Janusz -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From marcin at amu.edu.pl Wed Mar 25 16:56:41 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 25 Mar 2020 21:56:41 +0100 Subject: Connectionists: Doctoral positions available -- IBSPAN (SRIPAS) In-Reply-To: <16c4ac0c-9e42-2430-dc61-4c3414224eda@ibspan.waw.pl> References: <16c4ac0c-9e42-2430-dc61-4c3414224eda@ibspan.waw.pl> Message-ID: <2f8d0adf-aa39-4f62-dd6b-0a9dcd3721d4@amu.edu.pl> 2 EARLY STAGE RESEARCH POSITIONS at the Systems Research Institute (Poland) funded by TraDE-OPT (MSCA-ITN Project) * Full-time employment contract for a period of three years. * Gross salary around 2.450?/month? if the researcher has no family or a bit more if the researcher is married or has dependent children. It includes medical care coverage and retirement? benefits. For more information, see the attached and/or contact: Prof. Ewa Bednarczuk http://www.ibspan.waw.pl/~bednarcz/ ewa.bednarczuk+ITN at ibspan.waw.pl -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com -------------- next part -------------- A non-text attachment was scrubbed... Name: ESR OFFER SRI PAS _unicolor_final.pdf Type: application/pdf Size: 91203 bytes Desc: not available URL: From belk at cs.ucy.ac.cy Thu Mar 26 08:38:24 2020 From: belk at cs.ucy.ac.cy (Marios Belk) Date: Thu, 26 Mar 2020 14:38:24 +0200 Subject: Connectionists: Workshop on Adaptive and Personalized Privacy and Security (APPS 2020) - ACM UMAP Workshop Message-ID: Adaptive and Personalized Privacy and Security (APPS 2020) - ACM UMAP Workshop CALL FOR PAPERS **COVID-19 Update** Given the COVID-19 situation, remote presentations will be possible in the event if a physical workshop will not be possible or in case participants have travel limitations. The accepted papers will be published and available as planned in the ACM Digital Library. ***************** The Second International Workshop on Adaptive and Personalized Privacy and Security, in conjunction with the 28th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2020), Genoa, Italy, July 17, 2020 Workshop Website: http://appsworkshop.cs.ucy.ac.cy Paper Submissions: https://easychair.org/conferences/?conf=apps2020 IMPORTANT DATES Submission deadline: April 13, 2020 (23:59 AoE time) Notification: April 30, 2020 Camera-ready papers: May 06, 2020 MOTIVATION & GOALS Millions of users across different continents and countries are daily engaged with privacy and security tasks which are indispensable in modern information systems and services. Such tasks are commonly related to user authentication, human interaction proofs (e.g., captcha), privacy and security pop-up dialogs, setting privacy and security features within online user profiles, etc. Recent privacy and security incidents of famous online services have once more underpinned the necessity towards further investigating and improving current approaches and practices related to the design of efficient and effective privacy and security. In order to achieve this objective, one possible direction is related to providing adaptive and personalized characteristics to privacy- and security-related user tasks, given the diversity of the user characteristics (like cultural, cognitive, age, habits), the technology (like standalone, mobile, mixed-virtual-augmented reality, wearables) and interaction contexts of use (like being on the move, social settings, spatial limitations). Hence, adaptive and personalized privacy and security implies the ability of an interactive system or service to support its end-users, who are engaged in privacy- and/or security-related tasks, based on user models which describe in a holistic way what constitutes the user's physical, technological and interaction context in which computation takes place. APPS 2020 aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and security software and systems, by applying user modeling, adaptation and personalization principles. Our special focus in 2020 will be on healthcare systems, more specifically on ensuring security and privacy of medical data in smart patient-centric healthcare systems. The workshop will address the following objectives: - increase our understanding and knowledge on supporting usable privacy and security interaction design through novel user modeling mechanisms and adaptive user interfaces; - discuss methods and techniques for understanding user attitudes and perceptions towards privacy and security issues in various application areas; - identify human-centered models for the design, development and evaluation of adaptive and personalized privacy and security systems; - discuss methods for evaluating the impact and added value of adaptation and personalization in privacy and security systems. TOPICS OF INTEREST Topics of interest include, but are not limited to: - Privacy and security in smart patient-centric healthcare systems - Adaptation and personalization approaches in usable privacy and security - Effects of human factors (e.g., cognition, personality, etc.) in privacy and security systems - Novel user interaction concepts and user interfaces for achieving usable security - Cultural diversity in usable privacy and security - Context-aware privacy and security - Adaptive usable security in various domains such as healthcare, IoT, automotive - Trust perceived in patient-centric healthcare systems - Perceived security and usability in patient-centric healthcare systems - Adaptive user authentication policies - Novel approaches to the design and evaluation of usable security systems - Lessons learned from the deployment and use of usable privacy and security features - Ethical considerations in adaptive and personalized privacy and security PAPER SUBMISSION & PUBLICATION All workshop papers must contain original, previously unpublished, research work adhering the two publication types: - Full research papers (6-8 pages, incl. references), proposing new approaches, innovative methods and research findings. - Short research papers (2-4 pages, incl. references), presenting works in progress, lessons learned, emerging or future research issues and directions on topics related to APPS. Manuscripts should be formatted using the ACM SIG Standard (SIGCONF) proceedings template (http://www.acm.org/publications/proceedings-template). Please submit your paper through the EasyChair submission system: https://easychair.org/conferences/?conf=apps2020 Accepted papers will be published by ACM and will be available via the ACM Digital Library. ORGANIZING COMMITTEE Marios Belk, Cognitive UX GmbH, DE & University of Cyprus, CY Christos Fidas, University of Patras, GR Juliana Bowles, University of St. Andrews, UK Elias Athanasopoulos, University of Cyprus, CY Andreas Pitsillides, University of Cyprus, CY -------------- next part -------------- An HTML attachment was scrubbed... URL: From jaakko.peltonen at aalto.fi Thu Mar 26 11:24:03 2020 From: jaakko.peltonen at aalto.fi (Peltonen Jaakko) Date: Thu, 26 Mar 2020 15:24:03 +0000 Subject: Connectionists: MLVis 2020: Machine Learning Methods in Visualisation - 2nd Call For Papers Message-ID: <37e34300d613482e956a1c382a458bd9@aalto.fi> MLVis 2020: Machine Learning Methods in Visualisation - Call For Papers https://www.tuni.fi/mlvis2020/ MLVis 2020 will be a co-located workshop at EGEV2020 - Eurographics & EuroVis 2020. It aims to bring Machine Learning and Visualization researchers together in order to exchange research ideas. We solicit short papers on machine learning methods in visualisation, from both the machine learning and visualisation communities, addressing how the two technologies can be used together to provide greater insight to end users. Due to the coronavirus situation, EGEV2020 and the MLVis 2020 workshop will be arranged online based on the Zoom tool. Due to the disruption, we have extended the submission, notification, and camera-ready deadlines. Paper submissions for MLVis should be at most 4 pages in MLVis 2020 latex style (provided on the website), with an additional page allowed for references. Papers are to be submitted via the PCS system, link on the website. Proceedings will be published by the Eurographics Association, and be stored on the Eurographics Digital Library. Selected papers may be invited to special issues, either in the Information Visualization journal or ACM Transactions on Interactive Intelligent Systems. Important Dates: Submission deadline: April 3, 2020 (extended deadline) Notification deadline: April 24, 2020 (extended deadline) Camera-ready deadline: May 1, 2020 (extended deadline) Workshop: May 25, 2020 All submission deadlines are at 23:59 Anywhere on Earth on the date indicated. From lpandolfo at uniss.it Fri Mar 27 03:24:54 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Fri, 27 Mar 2020 08:24:54 +0100 Subject: Connectionists: 2nd Call for Workshop Proposals - The 36th International Conference on Logic Programming (ICLP2020) Message-ID: <2ee2f7da-4de0-ed79-29af-ae7d6d10845a@uniss.it> ?????????? *** CALL FOR WORKSHOP PROPOSALS *** ????????????????????? ICLP 2020 ?? 36th International Conference on Logic Programming ??????????? September 18 - September 24, 2020 ????????? University of Calabria, Rende, Italy ?????????????? https://iclp2020.unical.it /*NOTE ABOUT COVID-19: We will follow advice from the ICLP2020 // //organizers on the situation, and we will revise our workshop // //timeline and other procedures accordingly if needed.*/ ICLP 2020, the 36th International Conference on Logic Programming, will be held at the University of Calabria, Rende, Italy, from September 18 to September 24, 2020. The ICLP conference series has a long standing tradition of hosting a rich set of co-located workshops. ICLP workshops provide a unique opportunity for the presentation and discussion of work that can be preliminary in nature, novel ideas, and new open problems to a wide and interested audience. Co-located workshops also provide an opportunity for presenting specialized topics and opportunities for intensive discussions and project collaboration. The topics of the workshops co-located with ICLP 2020 can cover any areas related to logic programming (e.g., theory, implementation, environments, language issues, alternative paradigms, applications), including cross-disciplinary areas. However, any relevant workshop proposal will be considered. The format of the workshop will be decided by the workshop organizers, but ample time should be allowed for general discussion. Workshops can vary in length, but the optimal duration will be half a day or a full day. Workshop Proposal: ================== Those interested in organizing a workshop at ICLP 2020 are invited to submit a workshop proposal. Proposals should be in English and about two pages in length. They should contain: ?* The title of the workshop. ?* A brief technical description of the topics covered by the workshop. ?* A discussion of the timeliness and relevance of the workshop. ?* A list of some related workshops held in the last years. ?* The estimated length of the workshop and an estimate of the number ?? of expected attendees. ?* The names, affiliation and contact details (email, web page, ?? phone) of the workshop organizers together with a designated ?? contact person. ?* Previous experience of the workshop organizers in ?? workshop/conference organization. Proposals are expected in text or PDF format. All proposals should be submitted to the Workshop Chair by email by April 13, 2020. Reviewing Process: ================== Each submitted proposal will be reviewed by the Workshop, Program and General Chairs. Proposals that appear well-organized and that fit the goals and scope of ICLP will be selected. The decision will be notified by email to the responsible organizer by April 27, 2020. The definitive length of the workshop will be planned according to the number of submissions received by the different workshops. For every accepted workshop, the ICLP local organizers will prepare a meeting room. The workshops and the conference organizers will collaborate in establishing a uniform approach to produce proficient and accessible proceedings for the workshops. Workshop Organizers' Tasks: =========================== ?* Producing a "Call for Papers" for the workshop and posting it ?? on the Internet and other means. A web page URL should be provided ?? by May 25, 2020, and will be published on the ICLP 2020 home page. ?* Providing a brief description of the workshop for the conference ?? program. ?* Reviewing/accepting submitted papers. ?* Scheduling workshop activities in collaboration with the local ?? organizers and the Workshop Chair. ?* Providing a workshop program in a format specified by the ?? conference organizers for posting by August 31, 2020. ?* Coordinating the preparation of the workshop proceedings according ?? to the specifications provided by the Workshop Chair. Location: ========= Workshops will be collocated with ICLP 2020 at the University of Calabria, Rende, Italy. See the ICLP 2020 web site (https://iclp2020.unical.it/) for location details. Important Dates (Tentative): ============================ April 13, 2020:? Proposal submission deadline April 27, 2020:? Notification May 25, 2020:??? Deadline for receipt of CfP and workshop web page URL August 18, 2020: Deadline for acceptance notification of paper authors August 31, 2020: Deadline for workshop program Submissions: ============ Please submit your workshop proposals by email to the Workshop Chair. Workshop Chair: =============== Martin Gebser??? martin.gebser at aau.at -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hasan.almarzouqi at ku.ac.ae Fri Mar 27 02:47:39 2020 From: hasan.almarzouqi at ku.ac.ae (Hasan Al Marzouqi) Date: Fri, 27 Mar 2020 06:47:39 +0000 Subject: Connectionists: Research Associate in Machine Learning Message-ID: <67C1CEBA8997FE4CA2E7F6B29F0846C055E43C7E@SRV03007.PI.AC.AE> Description: The EECS department in Khalifa University, Abu Dhabi, UAE (www.ku.ac.ae) is seeking candidates for a research associate position to join a machine learning project integrating deep learning and CRISPR genome editing. Applicants are expected to have a master's degree in a relevant field and a publication record in deep learning and/or bioinformatics. Background in bioinformatics is preferred but not required. This position is available immediately and offered for one-year term, subject to renewal based on performance and available funds ________________________________ Application Instructions: Please send your CV to hasan.almarzoqi at ku.ac.ae Hasan Al Marzouqi Assistant Professor Electrical Engineering and Computer Science [cid:image001_5b9d5da2-5226-498c-8efe-a7084a62646b.png] P O Box 127788, , UAE T +971 2 6075090 F +971 2 447 2442 hasan.almarzouqi at ku.ac.ae ku.ac.ae [cid:social_logos_bc6725d5-148a-4909-ae81-760d8b1c3dc4.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001_5b9d5da2-5226-498c-8efe-a7084a62646b.png Type: image/png Size: 9730 bytes Desc: image001_5b9d5da2-5226-498c-8efe-a7084a62646b.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: social_logos_bc6725d5-148a-4909-ae81-760d8b1c3dc4.png Type: image/png Size: 6580 bytes Desc: social_logos_bc6725d5-148a-4909-ae81-760d8b1c3dc4.png URL: From augenstein at di.ku.dk Fri Mar 27 05:11:58 2020 From: augenstein at di.ku.dk (Isabelle Augenstein) Date: Fri, 27 Mar 2020 09:11:58 +0000 Subject: Connectionists: [2nd Call] Postdoc position in Natural Language Understanding at the University of Copenhagen Message-ID: A postdoc position on natural language understanding is available in the CopeNLU group at the Department of Computer Science, University of Copenhagen. The postdoc position is partly funded by a Megagon Labs faculty research award for the project `Subjective Question Answering?. The position is restricted to one year initially, after which a contract renewal is possible. The call will be open until the position is filled, and the start date is 1 May 2020 or as soon as possible afterwards. If you are interested in the position, please send a short introduction as well as a CV to >. You are also welcome to get in touch to informally to discuss further details about the position first. Applications from researchers of underrepresented groups in machine learning are particularly encouraged. Duration: 1 year, renewal possible Application deadline: none -- the position remains open until filled Position available from: 1 May 2020 Salary: from DKK 426.625 including annual supplement (+ pension up to DKK 72.952) Place: CopeNLU lab, Machine Learning Section, Department of Computer Science, University of Copenhagen, Denmark, https://copenlu.github.io/ Research areas: Natural Language Processing, Machine Learning, Question Answering, Low-Resource Learning Applications: Candidates should submit a CV and a cover letter by email Contact: Isabelle Augenstein > ??? Isabelle Augenstein, PhD Associate Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark www: http://isabelleaugenstein.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From scik at zhaw.ch Fri Mar 27 08:30:01 2020 From: scik at zhaw.ch (Schilling Frank-Peter (scik)) Date: Fri, 27 Mar 2020 12:30:01 +0000 Subject: Connectionists: 2nd CfP: ANNPR 2020 (9th IAPR TC3 Workshop on Neural Networks in Pattern Recognition), Sept. 2nd-4th, 2020 in Winterthur, Switzerland Message-ID: COVID-19 Update: We are monitoring closely the situation caused by the COVID-19 pandemic. At the moment, we still work on the assumption that ANNPR 2020 can happen as planned in September. However, we are going to re-evaluate the situation within the next weeks and may consider potential options such as an extension of the conference deadlines, moving to an online-only format or to postpone the event to 2021. We will keep you updated. Dear colleagues We are excited to announce https://annpr2020.ch/, the 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, which will be held from September 2nd-4th, 2020, at Zurich University of Applied Sciences ZHAW in Winterthur, Switzerland. The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas. ANNPR is the biannual?workshop organized by the?http://iapr-tc3.diism.unisi.it/?on?Neural Networks & Computational Intelligence of the?http://www.iapr.org/http://www.iapr.org/ Among the previous editions of the workshop were ANNPR 2018 (Siena, Italy), ANNPR 2016 (Ulm, Germany), ANNPR 2014 (Montreal, Canada), ANNPR 2012 (Trento, Italy), ANNPR 2010 (Cairo, Egypt), ANNPR 2008 (Paris, France) and ANNPR 2006 (Ulm, Germany). Program: The workshop will consist of keynote talks, several sessions for presentations of accepted papers, and a poster session. Keynote speakers are J?rgen Schmidhuber (tentative, The Swiss AI Lab IDSIA, Lugano, Switzerland), Naftali Tishby (Hebrew University of Jerusalem, Israel) and Bernd Feisleben (University of Marburg, Germany). In addition, there will be a dedicated industry session featuring a sponsored keynote, applied research presentations and industry exhibits / booths / demos, which will provide networking opportunities. The social program consists of a welcome reception, an excursion and a conference dinner. Topics: ANNPR 2020 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to: Methodological Issues: ? Supervised, semi-supervised, unsupervised and reinforcement learning ? Deep learning & deep reinforcement learning ? Feed-forward, recurrent, and convolutional neural networks ? Generative models ? Interpretability & explainability of neural networks ? Robustness & generalization of neural networks ? Meta-learning, Auto-ML Applications to Pattern Recognition: ? Image classification and segmentation ? Object detection ? Document analysis, e.g. handwriting recognition ? Sensor-fusion and multi-modal processing ? Biometrics, including speech and speaker recognition and segmentation ? Data, text, and web mining ? Bioinformatics and medical applications ? Industrial applications, e.g. quality control and predictive maintenance Paper Submission (Deadline: May 1st, 2020): Papers are invited to be submitted via EasyChair. There will be a peer review process before acceptance. The page limit is 12 pages. For instructions, see https://annpr2020.ch/cfp/. Accepted papers will be published as a special volume of the Springer Lecture Notes in Artificial Intelligence (LNAI) series. For previous editions, see https://link.springer.com/conference/annpr. In addition, we will invite the 5 (five) selected best accepted papers (as determined by the PC) to submit extended versions to an ANNPR 2020 special issue of the MDPI Journal ?Computers? (ISSN 2073-431X). Organization The workshop is organized by the Institute of Applied Information Technology (InIT) at the ZHAW School of Engineering. The program committee is listed at https://annpr2020.ch/organisation/ Chairs: Dr. Frank-Peter Schilling (chair), Prof. Dr. Thilo Stadelmann (co-chair) Venue ZHAW is one of the leading universities of applied sciences in Switzerland, with around 13 000 students and host to one of Europe?s first and largest dedicated research centers for Data Science. ZHAW?s School of Engineering is one of the leading Engineering Faculties in Switzerland. Our 13 institutes and centres guarantee superior-quality education, research and development with an emphasis on the areas of energy, mobility, information and health. Winterthur is the sixth-largest city of Switzerland with around 110 000 inhabitants. It is located in eastern Switzerland, approximately 20 km from Zurich. The Zurich region is the hub of the digital economy in Switzerland, hosting companies like Google, NVIDIA, IBM and Facebook, which have a high natural affinity to neural networks and pattern recognition. It is also host to world famous universities such as ETH Zurich and University of Zurich UZH, as well as to several universities of applied sciences including the ZHAW. The Swiss AI Institute IDSIA in Lugano, as well as the Swiss Data Science Center SDSC by ETH Zurich and EPFL Lausanne complete the Artificial Intelligence and Machine Learning landscape in the region. Best regards, Dr. Frank-Peter Schilling (chair) Prof. Dr. Thilo Stadelmann (co-chair) -- Dr. Frank-Peter Schilling ZHAW School of Engineering Institute of Applied Information Technology (InIT) Obere Kirchgasse 2 / TD O3.07 / Postfach / CH-8401 Winterthur mailto:scik at zhaw.ch / +41 58 934-6955 / http://www.zhaw.ch/en/about-us/person/scik/ From marcin at amu.edu.pl Thu Mar 26 17:26:11 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Thu, 26 Mar 2020 22:26:11 +0100 Subject: Connectionists: Call for Papers -- FedCSIS -- Track 3: Network Systems and Applications In-Reply-To: <9e913129-3882-9973-def3-691bee153252@ibspan.waw.pl> References: <9e913129-3882-9973-def3-691bee153252@ibspan.waw.pl> Message-ID: CALL FOR PAPERS ************************************************************** Track 3: Network Systems and Applications https://www.fedcsis.org/2020/nsa Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020), Track 5 Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ ************************************************************** AIMS & SCOPE Modern network systems encompass a wide range of solutions and technologies, including wireless and wired networks, network systems, services, and applications. This results in numerous active research areas oriented towards various technical, scientific and social aspects of network systems and applications. The primary objective of Network Systems and Applications conference track is to group network-related technical sessions and promote synergy between different fields of network-related research. This year, this track (Track #3) has three main technical sessions, namely ANSA, IoT-ECAW?20, and NEMESIS'20. The ANSA technical session is a wide umbrella that receives research on a broad scope of network systems and technologies. The IoT-ECAW?20 workshop is dedicated to all papers related to the Internet-of-Things (IoT) developments, challenges, and applications. The NEMESIS?20 receives papers related to information security, user privacy, and trust management from broad scope of domains including networks, IoT, clouds, and in addition to conventional cybersecurity applications. The three technical sessions aim to cover all aspects related to network systems and networking technologies. As a matter of arrangement, we encourage submitting papers to their well-matched event. The track chairs are available via email to clarify any confusion that might occur. For more details, see below and visit WWW site of each Technical Session. *** Advances in Network Systems and Applications (ANSA'20) https://www.fedcsis.org/2020/ansa The rapid development of computer networks including wired and wireless networks observed today is very evolving, dynamic, and multidimensional. On the one hand, network technologies are used in virtually several areas that make human life easier and more comfortable. On the other hand, the rapid need for network deployment brings new challenges in network management and network design, which are reflected in hardware, software, services, and security-related problems. Every day, a new solution in the field of technology and applications of computer networks is released. The ANSA technical session is devoted to emphasizing up-to-date topics in networking systems and technologies by covering problems and challenges related to the intensive multidimensional network developments. This session covers not only the technological side but also the societal and social impacts of network developments. The session is inclusive and spans a wide spectrum of networking-related topics. The ANSA technical session is a great place to exchange ideas, conduct discussions, introduce new ideas and integrate scientists, practitioners, and scientific communities working in networking research themes. Topics: The ANSA session is seeking original, relevant, and high-quality research papers related, but not limited, to the following topics: Networks architecture Networks management Quality-of-Service enhancement Performance modeling and analysis Fault-tolerant challenges and solutions 5G developments and applications Traffic identification and classification Switching and routing technologies Protocols design and implementation Wireless sensor networks Future Internet architectures Networked operating systems Industrial networks deployment Software-defined networks Self-organizing and self-healing networks Mulimedia in Computer Networks Communication quality and reliability Emerging aspects of networking systems The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of networking technology. *** Internet of Things - Enablers, Challenges and Applications (4rd Workshop IoT-ECAW'20) https://www.fedcsis.org/2020/iot-ecaw The Internet of Things is a technology which is rapidly emerging the world. IoT applications include: smart city initiatives, wearable devices aimed to real-time health monitoring, smart homes and buildings, smart vehicles, environment monitoring, intelligent border protection, logistics support. The Internet of Things is a paradigm that assumes a pervasive presence in the environment of many smart things, including sensors, actuators, embedded systems and other similar devices. Widespread connectivity, getting cheaper smart devices and a great demand for data, testify to that the IoT will continue to grow by leaps and bounds. The business models of various industries are being redesigned on basis of the IoT paradigm. But the successful deployment of the IoT is conditioned by the progress in solving many problems. These issues are as the following: The IoT technical session is seeking original, high quality research papers related to such topics. The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of IoT. The focus areas will be, but not limited to, the challenges on networking and information management, security and ensuring privacy, logistics, situation awareness, and medical care. The integration of heterogeneous sensors and systems with different technologies taking account environmental constraints, and data confidentiality levels; Big challenges on information management for the applications of IoT in different fields (trustworthiness, provenance, privacy); Security challenges related to co-existence and interconnection of many IoT networks; Challenges related to reliability and dependability, especially when the IoT becomes the mission critical component; Zero-configuration or other convenient approaches to simplify the deployment and configuration of IoT and self-healing of IoT networks; Knowledge discovery, especially semantic and syntactical discovering of the information from data provided by IoT. Topics: The IoT session is seeking original, high quality research papers related to following topics: Future communication technologies (Future Internet; Wireless Sensor Networks; Web-services, 5G, 4G, LTE, LTE-Advanced; WLAN, WPAN; Small cell Networks?) for IoT, Intelligent Internet Communication, IoT Standards, Networking Technologies for IoT, Protocols and Algorithms for IoT, Self-Organization and Self-Healing of IoT Networks, Object Naming, Security and Privacy in the IoT Environment, Security Issues of IoT, Integration of Heterogeneous Networks, Sensors and Systems, Context Modeling, Reasoning and Context-aware Computing, Fault-Tolerant Networking for Content Dissemination, IoT Architecture Design, Interoperability and Technologies, Data or Power Management for IoT, Fog - Cloud Interactions and Enabling Protocols, Reliability and Dependability of mission critical IoT, Unmanned-Aerial-Vehicles (UAV) Platforms, Swarms and Networking, Data Analytics for IoT, Artificial Intelligence and IoT, Applications of IoT (Healthcare, Military, Logistics, Supply Chains, Agriculture, ...), E-commerce and IoT. The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of IoT. Focus areas will be, but not limited to above mentioned topics. *** Cyber Security, Privacy and Trust (1st International Forum NEMESIS'20) https://www.fedcsis.org/2020/nemesis Nowadays, information security works as a backbone for protecting both user data and electronic transactions. Protecting communications and data infrastructures of an increasingly inter-connected world have become vital nowadays. Security has emerged as an important scientific discipline whose many multifaceted complexities deserve the attention and synergy of computer science, engineering, and information systems communities. Information security has some well-founded technical research directions which encompass access level (user authentication and authorization), protocol security, software security, and data cryptography. Moreover, some other emerging topics related to organizational security aspects have appeared beyond the long-standing research directions. The International Forum of Cyber Security, Privacy, and Trust (NEMESIS?20) as a successor of International Conference on Cyber Security, Privacy, and Trust (INSERT?19) focuses on the diversityof the cyber information security developments and deployments in order to highlight the most recent challenges and report the most recent researches. The session is an umbrella for all cyber security technical aspects, user privacy techniques, and trust. In addition, it goes beyond the technicalities and covers some emerging topics like social and organizational security research directions. NEMESIS?20 serves asa forum of presentation of theoretical, applied research papers, case studies, implementation experiences as well as work-in-progress results in cyber security. NEMESIS?20 is intended to attract researchers and practitioners from academia and industry and provides an international discussion forum in order to share their experiences and their ideas concerning emerging aspects in information security met in different application domains. This opens doors for highlighting unknown research directions and tackling modern research challenges. The objectives of the NEMESIS?20 can be summarized as follows: To review and conclude research findings in cyber security and other security domains, focused on the protection of different kinds of assets and processes, and to identify approaches that may be useful in the application domains of information security. To find synergy between different approaches, allowing elaborating integrated security solutions, e.g. integrate different risk-based management systems. To exchange security-related knowledge and experience between experts to improve existing methods and tools and adopt them to new application areas Topics Topics of interest include but are not limited to: Biometric technologies Cryptography and cryptanalysis Critical infrastructure protection Security of wireless sensor networks Hardware-oriented information security Organization- related information security Social engineering and human aspects in cyber security Individuals identification and privacy protection methods Pedagogical approaches for information security education Information security and business continuity management Tools supporting security management and development Decision support systems for information security Trust in emerging technologies and applications Digital right management and data protection Threats and countermeasures for cybercrimes Ethical challenges in user privacy and trust Cyber and physical security infrastructures Risk assessment and management Steganography and watermarking Digital forensics and crime science Security knowledge management Security of cyber-physical systems Privacy enhancing technologies Trust and reputation models Misuse and intrusion detection Data hide and watermarking Cloud and big data security Computer network security Assurance methods Security statistics The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of networking technology. ************************************************************************ PAPER SUBMISSION * Authors should submit draft papers (as Postscript, PDF or MSWord file). * The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). * Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. * Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. * Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. * Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. * Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar. * Organizers reserve right to move accepted papers between FedCSIS events. * For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions IMPORTANT DATES * Paper submission (sharp/no extension): May 15, 2020 * Position paper submission: June 9, 2020 * Author notification: June 30, 2020 * Final paper submission and registration: July 15, 2020 * Conference: September 6 - 9, 2020 Track 3 Chairs: Armando, Alessandro, University of Genova, Italy Awad, Ali Ismail, Lulea University of Technology, Sweden Furtak, Janusz, Military University of Technology, Poland -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From marcin at amu.edu.pl Fri Mar 27 18:37:02 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 27 Mar 2020 23:37:02 +0100 Subject: Connectionists: Call for Papers -- Information Systems and Technologies In-Reply-To: <24db3725-94fd-e9d4-52e3-e594c7e0c758@ibspan.waw.pl> References: <24db3725-94fd-e9d4-52e3-e594c7e0c758@ibspan.waw.pl> Message-ID: <7bc3162b-e360-e983-8b27-24939ebdf652@amu.edu.pl> CALL FOR PAPERS ******************************************************************************* Track 4: Information Systems and Technologies within FedCSIS 2020 https://fedcsis.org/2020/ist Bulgarian Academy of Sciences, Sofia, Bulgaria 06-09 September 2020 ******************************************************************************* IST is a FedCSIS conference track aiming at integrating and creating synergy between disciplines of information technology, information systems, and social sciences. The track addresses the issues relevant to information technology and necessary for practical, everyday needs of business, other organizations and society at large. This track takes a socio-technical view on information systems and, at the same time, relates to ethical, social and political issues raised by information systems. IST provides a forum for academics and professionals to share the latest developments and advances in the knowledge and practice of these fields. It seeks new studies in many disciplines to foster a growing body of conceptual, theoretical, experimental, and applied research that could inform design, deployment and usage choices for information systems and technology within business and public organizations as well as households. We call for papers to the track's Technical Sessions covering a broad spectrum of topics which bring together sciences of information technology and information systems and social sciences, i.e. economics, management, business, finance, and education. The track bridges the diversity of approaches that contributors bring to the conference. Extended versions of high-marked papers presented at technical sessions of IST 2015-2019 have been published with Springer in volumes of Lecture Notes in Business Information Processing: LNBIP 243, LNBIP 277, LNBIP 311, LNBIP 346, and LNBIP 380. Our track includes the following four technical sessions: *** Advances in Information Systems and Technologies AIST???2020 https://fedcsis.org/aist AIST???2020 constitutes a global forum for researchers and practitioners to present and discuss the recent research on information systems and technologies for business, governments, and society. AIST invites papers covering the most recent innovations, current trends, professional experiences and new challenges in the several perspectives of information systems and technologies, i.e. design, implementation, stabilization, continuous improvement, and transformation. It seeks new works from researchers and practitioners in business intelligence, big data, data mining, machine learning, cloud computing, mobile applications, social networks, internet of thing, sustainable technologies and systems, blockchain, etc. The main topics covered are: Advanced information systems and technologies for business; Advanced information systems and technologies for governments; Advanced information systems and technologies for education; Advanced information systems and technologies for healthcare; Advanced information systems and technologies for smart cities; and Advanced information systems and technologies for sustainable development. *** 15th Conference on Information Systems Management (ISM'20) https://fedcsis.org/ism ISM???2020 constitutes a forum for the exchange of ideas for practitioners and theorists working in the broad area of information systems management in organizations. This session invites papers coming from two complimentary directions: management of information systems in an organization, and uses of information systems to empower managers. It is interested in all aspects of planning, organizing, resourcing, coordinating, controlling and leading the management function to ensure a smooth operation of information systems in an organization. Moreover, the papers that discuss the uses of information systems and information technology to automate or otherwise facilitate the management function are specifically welcome. The main topics covered are: Management of Information Systems in an Organization; Uses of Information Systems to Empower Managers; and Information Systems for Sustainability. *** 2nd Special Session on Data Science in Health, Ecology and Commerce DSH'2020 https://fedcsis.org/2020/dsh DSH'2020 is a forum on all forms of data analysis, data economics, information systems and data based research, focusing on the interaction of those four fields. It embraces a rich array of issues on data science and offer a platform for research from diverse methodological directions, including quantitative empirical research as well as qualitative contributions. We welcome research from a medical, technological, economic, political and societal perspective. The main topics covered are: Data analysis in health, ecology and commerce; (Health) Data management; Health economics; Data economics and data integration; Semantic and AI based data analysis; Data based health service research; Smart service engineering; Integrating data in integrated care and AI in integrated care; Spatial health economics; Risk adjustment and predictive modelling; and Privacy in data science. *** 26th Conference on Knowledge Acquisition and Management KAM???2020 https://fedcsis.org/2020/kam KAM???2020 aims to to create possibility of presenting and discussing approaches, techniques and tools in the knowledge acquisition and other knowledge management areas with focus on contribution of artificial intelligence for improvement of human-machine intelligence and face the challenges of this century. We expect that the conference&workshop will enable exchange of information and experiences, and delve into current trends of methodological, technological and implementation aspects of knowledge management processes The main topics covered are: Knowledge creation, validation, discovery, and acquisition; Knowledge dynamics and machine learning; Distance learning and knowledge sharing; Knowledge representation models; Knowledge managers and workers; Knowledge coaching and diffusion; Knowledge engineering and software engineering; Knowledge grid and social networks; Knowledge management for design, innovation and eco-innovation process; Business Intelligence environment for supporting knowledge management; Knowledge management in virtual advisors and training; and Human-machine interfaces and knowledge visualization. *** Paper submission, publication and indexation: # Papers acceptance and publication category (regular, position, short) will be judged based on their relevance to the conference theme, clarity of presentation, originality and accuracy of results and proposed solutions. # Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science, Scopus and other indexing services. # Papers presented during the conference will be submitted for inclusion by IEEE Xplore Digital Library proceedings (ISBN and IEEE Catalog number) under a nonexclusive copyright, thus further publication of extended papers are possible. Conference proceedings will be submitted for indexation to BazEkon, Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar. # Extended versions of high-marked papers presented at ISM?2015, ISM?2016, ISM?2017, ISM?2018, and ISM?2019 have been published with Springer in volumes of Lecture Notes in Business Information Processing: LNBIP 243, LNBIP 277, and LNBIP 311, LNBIP 346, and LNBIP 380 (in print). # Extended and revised versions of high-marked papers presented at Track4: IST?2020 will be fast tracked for publication in the Lecture Notes in Business Information Processing series (Springer). *** Important Dates/Deadlines: * Submission Deadline of complete papers: May 15, 2020 (There will be no extension of deadline. Downward clock has been placed on the conference WWW site. It will expire on May 15, 2020 at midnight Hawaii time) * Position paper submission: June 09, 2020 * Acceptance decision: June 30, 2020 * Final version of paper submission: July 15, 2020 * Final deadline for discounted fee: August 01, 2020 Track 4 Chairs: Ziemba, Ewa, University of Economics in Katowice, Poland Cao, Guangming, Ajman University, United Arab Emirates Raban, Daphne, University of Haifa, Israel -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From fh at cs.uni-freiburg.de Sat Mar 28 13:06:14 2020 From: fh at cs.uni-freiburg.de (Frank Hutter) Date: Sat, 28 Mar 2020 18:06:14 +0100 Subject: Connectionists: Call for papers: 7th ICML Workshop on Automated Machine Learning (AutoML 2020) Message-ID: Dear all, We're happy to announce the 7th ICML Workshop on Automated Machine Learning (AutoML), which will be held on July 17 or July 18, 2020, as part of the ICML conference (as a virtual event, like ICML). Machine learning has achieved considerable successes in recent years, but this success often relies on human experts, who construct appropriate features, design learning architectures, set their hyperparameters, and develop new learning algorithms. Driven by the demand for off-the-shelf machine learning methods from an ever-growing community, the research area of AutoML targets the progressive automation of machine learning aiming to make effective methods available to everyone. Hence, the workshop targets a broad audience ranging from core machine learning researchers in different fields of ML connected to AutoML, such as neural architecture search, hyperparameter optimization, meta-learning, and learning to learn, to domain experts aiming to apply machine learning to new types of problems. *We invite submissions on the topics of:* - Model selection, hyper-parameter optimization, and model search - Neural architecture search - Meta-learning and transfer learning - Bayesian optimization for AutoML - Evolutionary algorithms for AutoML - Multi-fidelity optimization - Predictive models of performance - Automatic feature extraction / construction - Automatic data cleaning - Automatic generation of workflows / workflow reuse - Automatic problem "ingestion" (from raw data and miscellaneous formats) - Automatic feature transformation to match algorithm requirements - Automatic acquisition of new data (active learning, experimental design) - Automatic report generation (providing insight on automatic data analysis) - Automatic selection of evaluation metrics / validation procedures - Automatic selection of algorithms under time/space/power constraints - Automatic construction of fair and unbiased machine learning models - Automation of semi-supervised and unsupervised machine learning - Demos of existing AutoML systems - Robustness of AutoML systems (w.r.t. Randomized algorithms, data, hardware etc.) - Human-in-the-loop approaches for AutoML - Learning to learn new algorithms and strategies - Hyperparameter agnostic algorithms *Submission Format* We welcome submissions of up to 6 pages in JMLR Workshop and Proceedings format (plus 10 pages for references and appendix). All accepted papers will be presented as posters. We will invite the 2-3 best papers for an oral plenary presentation. We will provide PDFs of accepted papers on http://icml2020.automl.org/, but there will be no archival proceedings. For submission details please see the submission page. *Remark on COVID-19* Due to the Covid-19 pandemic, ICML will be an entirely virtual conference this year (https://icml.cc/Conferences/2020/VirtualICML), and the AutoML workshop will follow suit. We are in contact with the ICML organizers about how this will pan out exactly and will inform you as soon as possible. We provide up-to-date information on http://icml2020.automl.org *Keynote Speakers* - Alex Smola (Director, Amazon Web Services) - Mihaela van der Schaar (Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge) - Neil Lawrence (DeepMind Professor of Machine Learning at the University of Cambridge and visiting Professor at the University of Sheffield) *Organization* Katharina Eggensperger, Matthias Feurer, Frank Hutter, Marius Lindauer, and Joaquin Vanschoren and Charles Weill *Location* The 7th ICML workshop on AutoML will be co-located with the 37th International Conference on Machine Learning (ICML 2020) and will take place on July 17th or 18th. *Important Dates* Deadline: April 23rd (Anywhere on earth) Notification: May 25th (Anywhere on earth) On behalf of the organizing committee, Frank Hutter -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonino.staiano at uniparthenope.it Sat Mar 28 06:53:08 2020 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Sat, 28 Mar 2020 11:53:08 +0100 Subject: Connectionists: Call for Papers - ICPR2020 workshop on "Machine Learning Advances Environmental Science (MAES)" Message-ID: MAES2020 workshop at ICPR2020 *** UPDATES in relation to COVID-19 (Coronavirus) *** ---===== Apologies for multiple posting =====--- Please distribute this call to interested parties __________________________________________________________________ Machine Learning Advances Environmental Science (MAES at ICPR2020) workshop at the 25th International Conference on Pattern Recognition (ICPR2020) Milan, Italy, January 10-15, 2021 >>> https://sites.google.com/view/maes-icpr2020/ <<< __________________________________________________________________ === UPDATES in relation to COVID-19 (Coronavirus) === The MAES2020 workshop as well as the ICPR2020 conference have been postponed to January 10-15, 2021! More updates and details are available at https://www.micc.unifi.it/icpr2020/index.php/2020/03/03/update-icpr2020-covid19/ === New Important Dates === - Workshop submission deadline: October 10th - Workshop author notification: November 10th - Camera-ready submission: November 15th - Finalized workshop program: December 1st === Aim & Scope === Environmental data are growing steadily in volume, complexity, and diversity to Big Data mainly driven by advanced sensor technology. Machine learning can offer superior techniques for unraveling complexity, knowledge discovery and predictability of Big Data environmental science. The aim of the workshop is to provide a state-of-the-art survey of environmental research topics that can benefit from Machine Learning methods and techniques. To this purpose, the workshop welcomes papers on successful environmental applications of machine learning and pattern recognition techniques to diverse domains of Environmental Research, for instance, recognition of biodiversity in thermal, photo and acoustic images, natural hazards analysis and prediction, environmental remote sensing, estimation of environmental risks, prediction of the concentrations of pollutants in geographical areas, environmental threshold analysis and predictive modelling, estimation of Genetical Modified Organisms (GMO) effects on non-target species. The workshop will be the place to make an analysis of the advances of Machine Learning for Environmental Science and should indicate the open problems in environmental research that still have not properly benefited from Machine Learning. Extended papers of this workshop will be published as a special issue in the journal of Environmental Modelling and Software, Elsevier. === Organizers === Francesco Camastra, Universita' degli Studi di Napoli Parthenope, Italy Friedrich Recknagel, University of Adelaide, Australia Antonino Staiano, Universita' degli Studi di Napoli Parthenope, Italy _________________________________________________________ Contacts: antonino.staiano at uniparthenope.it francesco.camastra at uniparthenope.it Workshop: https://sites.google.com/view/maes-icpr2020/ ICPR2020: https://www.micc.unifi.it/icpr2020/ Antonino Staiano, PhD Dept. Science and Technology University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Mar 30 14:57:14 2020 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Mon, 30 Mar 2020 14:57:14 -0400 Subject: Connectionists: NEURAL NETWORKS, April 2020 Message-ID: <43289c2b-9541-8f0b-328e-4b0fceec0fdc@cse.ohio-state.edu> Neural Networks - Volume 124, April 2020 https://www.journals.elsevier.com/neural-networks Improved value iteration for neural-network-based stochastic optimal control design Mingming Liang, Ding Wang, Derong Liu EEG based multi-class seizure type classification using convolutional neural network and transfer learning S. Raghu, Natarajan Sriraam, Yasin Temel, Shyam Vasudeva Rao, Pieter L. Kubben A unified model of rule-set learning and selection Pierson Fleischer, Sebastien Helie Directed EEG neural network analysis by LAPPS (p <= 1) Penalized sparse Granger approach Joyce Chelangat Bore, Peiyang Li, Dennis Joe Harmah, Fali Li, ... Peng Xu A model for navigation in unknown environments based on a reservoir of hippocampal sequences Christian Leibold A deep CNN approach to decode motor preparation of upper limbs from time?requency maps of EEG signals at source level Nadia Mammone, Cosimo Ieracitano, Francesco C. Morabito The feature extraction of resting-state EEG signal from amnestic mild cognitive impairment with type 2 diabetes mellitus based on feature-fusion multispectral image method Dong Wen, Peng Li, Xiaoli Li, Zhenhao Wei, ... Shimin Yin Adaptive neural tree exploiting expert nodes to classify high-dimensional data Shadi Abpeikar, Mehdi Ghatee, Gian Luca Foresti, Christian Micheloni Robust adaptation regularization based on within-class scatter for domain adaptation Liran Yang, Ping Zhong Multi-context aware user-item embedding for recommendation Biao Wu, Wen Wen, Zhifeng Hao, Ruichu Cai Medi-Care AI: Predicting medications from billing codes via robust recurrent neural networks Deyin Liu, Yuanbo Lin Wu, Xue Li, Lin Qi Attention-guided CNN for image denoising Chunwei Tian, Yong Xu, Zuoyong Li, Wangmeng Zuo, ... Hong Liu A causal discovery algorithm based on the prior selection of leaf nodes Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, ... Ruihui Huang FOM: Fourth-order moment based causal direction identification on the heteroscedastic data Ruichu Cai, Jincheng Ye, Jie Qiao, Huiyuan Fu, Zhifeng Hao Adaptive complex-valued stepsize based fast learning of complex-valued neural networks Yongliang Zhang, He Huang Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments Daniel Nahmias, Aviad Cohen, Nir Nissim, Yuval Elovici Deterministic learning of hybrid Fuzzy Cognitive Maps and network reduction approaches Gonzalo Napoles, Agnieszka Jastrzebska, Carlos Mosquera, Koen Vanhoof, Wladyslaw Homenda K-Anonymity inspired adversarial attack and multiple one-class classification defense Vasileios Mygdalis, Anastasios Tefas, Ioannis Pitas Effective metric learning with co-occurrence embedding for collaborative recommendations Hao Wu, Qimin Zhou, Rencan Nie, Jinde Cao Theory of deep convolutional neural networks: Downsampling Ding-Xuan Zhou Cluster stochastic synchronization of complex dynamical networks via fixed-time control scheme Wanli Zhang, Chuandong Li, Hongfei Li, Xinsong Yang Bipartite synchronization for inertia memristor-based neural networks on coopetition networks Ning Li, Wei Xing Zheng Exponential and adaptive synchronization of inertial complex-valued neural networks: A non-reduced order and non-separation approach Juan Yu, Cheng Hu, Haijun Jiang, Leimin Wang Adaptive tracking synchronization for coupled reaction?iffusion neural networks with parameter mismatches Hao Zhang, Zhixia Ding, Zhigang Zeng Performance boost of time-delay reservoir computing by non-resonant clock cycle Florian Stelzer, Andre Rohm, Kathy Ludge, Serhiy Yanchuk l_{2}-l_{infinity} state estimation for delayed artificial neural networks under high-rate communication channels with Round-Robin protocol Yuxuan Shen, Zidong Wang, Bo Shen, Fuad E. Alsaadi, Abdullah M. Dobaie A neurodynamic approach to nonsmooth constrained pseudoconvex optimization problem Chen Xu, Yiyuan Chai, Sitian Qin, Zhenkun Wang, Jiqiang Feng Abstractive summarization of long texts by representing multiple compositionalities with temporal hierarchical pointer generator network Dennis Singh Moirangthem, Minho Lee A 3D deep supervised densely network for small organs of human temporal bone segmentation in CT images Xiaoguang Li, Zhaopeng Gong, Hongxia Yin, Hui Zhang, ... Li Zhuo Differential-game for resource aware approximate optimal control of large-scale nonlinear systems with multiple players Avimanyu Sahoo, Vignesh Narayanan Person Re-Identification with Feature Pyramid Optimization and Gradual Background Suppression Yingzhi Tang, Xi Yang, Nannan Wang, Bin Song, Xinbo Gao Learning deformable registration of medical images with anatomical constraints Lucas Mansilla, Diego H. Milone, Enzo Ferrante Universal approximation with quadratic deep networks Fenglei Fan, Jinjun Xiong, Ge Wang From alessandro.dausilio at gmail.com Mon Mar 30 11:53:47 2020 From: alessandro.dausilio at gmail.com (Alessandro D'Ausilio) Date: Mon, 30 Mar 2020 17:53:47 +0200 Subject: Connectionists: [Jobs] Early Stage Researchers (ERS) - EU-Marie Sklodowska-Curie ETN COBRA (COnversational BRAins) - DEADLINE EXTENDED! References: <9B644927-398F-4538-A460-08F904462634@gmail.com> Message-ID: <2885F675-9B1A-42AD-8779-D03F6E1BB4BA@gmail.com> Two Early Stage Researcher (ESR) positions (EU Marie Sklodowska-Curie Actions) to be hosted in the Istituto Italiano di Tecnologia (IIT). The successful applicants are expected to register for PhD at the University of Ferrara, in Translational Neurosciences and Neurotechnologies. The COBRA H2020 project (G.A. N. 859588), an EU Innovative Training Network of MSCA involving 9 partners, will train a group of 15 researchers that will be the next generation of researchers to accurately characterise and model the linguistic, cognitive and brain mechanisms deployed by human speakers in conversational interactions with human interlocutors as well as artificial dialog systems. ERS2 Objectives: When people are engaged in meaningful social interaction, they automatically and implicitly adjust their speech, vocal patterns and gestures to accommodate to others. Although these processes have extensively been explored at the behavioral level, very little is known about their neural underpinnings. Prior investigations have shown that suppression of alpha oscillations, overlaying sensorimotor regions, are a possible marker of action-perception coupling during non-speech (Tognoli & Kelso, 2015) and speech based (Mukherjee et al., 2019) interactive tasks. The project, by running dual-EEG recordings, will investigate if behavioral speech alignment translates into identifiable brain oscillatory markers. Key objectives are (i) to develop and validate metrics to quantify phonetic accommodation during natural speech interactions and (ii) to identify electrophysiological markers of between-speaker convergence. Expected results: - A computational pipeline, based on deep-learning methods, to extract phonetic accommodation patterns of speakers engaged in a meaningful social interaction; - A significant contribution to the field of hyper-scanning by exploring the neurophysiological correlates of phonetic convergence during conversations. Based in Ferrara, Italy Full-time three-year contract, starting September 2020 PhD enrolment at: University of Ferrara Main supervisor?s institution: Italian Institute of Technology Main supervisor: Prof. Alessandro D?Ausilio, Prof. Luciano Fadiga Secondments: - AMU (Aix-Marseille Universit?, France): making-up of linguistic material in both Italian and French, contribution to design of experimental set-up and to phonetic analyses (5,5 months); - HU-ZAS (Humboldt-Universit?t, Germany): Assessment of a repertoire of metrics for measuring phonetic convergence in conversational speech (5 months). Contact: alessandro.dausilio at iit.it ERS10 Objectives: For adults, mastering the segmental and supra-segmental aspects of a second language (L2) is particularly challenging. Although we know that such a capability is partially maintained during adulthood, we do not know yet how to facilitate effective and long-lasting L2 learning. This project is based on the hypothesis that when people engage in meaningful social interactions, they automatically and implicitly align at multiple levels (Pickering, Garrod, 2013), including the phonetic (Mukherjee et al., 2019) and the facial expression ones. ESR10 will tackle the fundamental scientific question of speech alignment in L2 and whether it drives long-lasting improvements in L2 skills. Key objectives are (i) to investigate the dynamics of alignment in L2 (English) and (ii) to quantify improvements when participants are engaged in a conversation with native speakers. Expected results: - Validation of a set of game-like tools to quantify L2 speech and facial movements alignment; - Exhaustive investigation of alignment in L2, its relation with L2 proficiency before training and long term retention of L2 improvements. Based in Ferrara, Italy Full-time three-year contract, starting September 2020 PhD enrolment at: University of Ferrara Main supervisor?s institution: Italian Institute of Technology Main supervisor: Prof. Alessandro D?Ausilio, Prof. Luciano Fadiga Secondments: - IISAS (Slovak Academy of Sciences, Slovakia): training on methods for analyzing acoustic-prosodic alignment in dialogues (5 months); - DAVI (DAVI, France): training on how to explore facial movement alignment in L2 (5,5 months). Contact: alessandro.dausilio at iit.it THE APPLICATION IS DONE VIA THE COBRA WEBPAGE: https://www.cobra-network.eu/ DEADLINE EXTENDED: APRIL 15th 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1451 bytes Desc: not available URL: From k.wong-lin at ulster.ac.uk Mon Mar 30 14:54:01 2020 From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt) Date: Mon, 30 Mar 2020 18:54:01 +0000 Subject: Connectionists: Reminder: Call for Papers for Journal of Neuroscience Methods Special Issue: Multiscale Modelling and Analysis in Neuroscience Message-ID: This is a reminder regarding a Special Issue on Multiscale Modelling and Analysis in Neuroscience, in the Journal of Neuroscience Methods, which I am co-editing. This Special Issue is focused on state-of-the-art: (i) computational modelling techniques; (ii) theoretical, mathematical or numerical methods; (iii) analysis of data; (iv) curation of data; or (v) combinations of the above. For more information, please see: https://www.journals.elsevier.com/journal-of-neuroscience-methods/call-for-papers/multiscale-modelling-and-analysis-in-neuroscience Example of a published paper in this Special Issue can be found at: https://www.sciencedirect.com/science/article/pii/S0165027020300947?via%3Dihub Both original research and insightful reviews are welcomed. Please contact me or any of the other co-editors if you are interested or have queries. The deadline for submissions is 30th April, 2020. Manuscripts will undergo the normal peer review process as soon as they are submitted. Best, KongFatt Wong-Lin -------------------------- E-mail: k.wong-lin at ulster.ac.uk https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Mon Mar 30 16:27:37 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Mon, 30 Mar 2020 20:27:37 +0000 Subject: Connectionists: SBP-BRiMS'2020: Delay in paper notifications In-Reply-To: References: , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies Dear SBP-BRiMS community, We hope this email finds you well. We also hope everyone is safe and healthy. Given the delays due to the COVID-19 situation, the progress in our paper review for submitted papers has been affected. We will decide on the date for paper notifications later this week. Thus, the notifications are not expected earlier than April 6th, but could probably be later after that. We will be getting back as soon as a decision is made. Regards, Don Adjeroh SBP-BRiMS Publicity Chair ________________________________ From: Donald Adjeroh Sent: Friday, March 13, 2020 5:55 PM To: don at csee.wvu.edu Subject: SBP-BRiMS'2020: Message from Conference Chair on the Coronavirus Apologies if you receive multiple copies Dear SBP-BRiMS community, I am sure you are all wondering if SBP-BRiMS 2020 (http://sbp-brims.org/) will still occur or be changed in some way given the COVID-19 pandemic. At this point, we still plan to hold an in person meeting in July. However, the organizing committee is monitoring the situation closely. We are also in consultation with organizers of other conferences to make sure we are considering all of the relevant issues. More information is coming out from the CDC and WHO regularly, that we are also considering. Should we decide that it is in the community?s best health interest to cancel, or go to an on-line meeting, we will let you know. We will send out regular updates. Sincerely and with all due respect, Kathleen M. Carley Professor, Carnegie Mellon University, PA, USA SBP-BRIMS Conference Co-Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Mon Mar 30 22:11:02 2020 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 31 Mar 2020 07:41:02 +0530 Subject: Connectionists: 2020 ISCMI (Stockholm, Sweden, deadline less than 3 months away) Message-ID: Dear esteemed colleagues, Warm greetings from India. Hope you and your loved ones are doing well. Pls. take care. 2020 lSCMl, the annual flagship event of llCCl http://www.iicci.in/ ), to be held in *Stockholm, Sweden (14th-15th Nov, 2020)* http://iscmi.us/index.html *IEEE Sweden Section, IEEE Computational Intelligence Society & **IFSA* are the *technical co sponsors* for the same. This is to gently remind you that the *paper submission deadline for the same is little less than 3 months away (25th June. 2020).* Till now the proceedings of all the previous 6 lSCMl conferences were successfully uploaded at *IEEE Xplore.* Since 2017, lSCMl is being held annually in memory of life & work of Prof. Lotfi Zadeh. For *2020*, The annual llCCl Prof. Zadeh Memorial lecture would be delivered by *Prof. B-M Bernadette*, the *current President* of *IEEE Computational Intelligence Society (L**ife Fellow*, *IEEE *& also* Fellow, IFSA).* Apart from the lEEE published proceedings & uploading of the same at Xplore, scope of a selected subset of papers for being considered for publications at the *special issue of the* *NCAA journal * (a Springer publications having *2018 Impact Factor* & *5 year Impact Factor *of *4.664* & *3.570 respectively* https://www.springer.com/journal/521) also exist. You are warmly invited to submit your research findings for this conference. Hope to welcome & meet many of you in Stockholm this year. Thanks so much & kind rgds, Suash (Prof. Suash Deb) General Chair, ISCMI20 (Stockholm, Sweden) -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Mar 31 05:57:48 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 31 Mar 2020 11:57:48 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2020 Madrid Spain December 1-3, 2020 Message-ID: *Apologies for any cross posting* *Ninth** International Conference on Complex Networks & Their Applications* *Madrid, Spain December 1- 3, 2020* *http://www.complexnetworks.org * You are cordially invited to submit your contribution until September 02, 2020. *Speakers :* ? Leman Akogu Carnegie Mellon University, USA ? Fosca Giannotti KDD Lab Pisa, Italy ? J?nos Kert?sz Central European University Hungary ? Vito Latora Queen Mary, University of London UK ? Alex ?Sandy? Pentland MIT Media Lab, USA ? Nata?a Pr?ulj Barcelona Supercomputing Center Spain *Tutorials:* *November 30, 2020* ? David Garcia Complexity Science Hub Vienna Austria ? Mikko Kivel? Aalto University Finland *Publication* *Full papers (not previously published up to 12 pages) *and *Extended Abstracts* *(about published or unpublished research up to 3 pages)* *are welcome.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Frontiers in Big Data o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* *ADVISORY BOARD* Jon Crowcroft *University of Cambridge, UK* Raissa D'Souza *UC Davis, USA* Eugene Stanley *Boston University, USA* Ben Y. Zhao *University of Chicago, USA* *PROGRAM CHAIRS* Chantal Cherifi *University of Lyon, France* Luis M. Rocha *Indiana University, USA* Marta Sales-Pardo *Universitat Rovira i Virgili, Spain* *LIGHTNING CHAIRS* Jes?s Gomez Garde?es *University of Zaragoza, Spain* Jos? F. Mendes *University of Aveiro, Portugal* Huijuan Wang *TU Delft, Netherlands* *POSTER CHAIRS* Manuel Marques Pita *Universidade Lus?fona, Portugal* Taha Yasseri *University of Oxford, UK* Jos? Javier Ramasco *IFISC, Spain* *TUTORIAL CHAIRS* Luca Maria Aiello *Nokia-Bell Labs, UK* Leto Peel *Universit? Catholique de Louvain, Belgium* *SATELLITE CHAIRS* Sabrina Gaito *Universit? degli Studi di Milano, Italy* Javier Galeano *Universidad Politecnica de Madrid, Spain* *PUBLICITY CHAIRS* Benjamin Renoust *Osaka University, Japan* Michael Schaub *Oxford, UK* Andreia Sofia Teixeira *Indiana University, USA* Xiangjie Kong* Dalian* *University of Technology, China* *SPONSOR CHAIRS* Roberto Interdonato *CIRAD, France* Regino Criado* Universidad Carlos III de Madrid, Spain* *PUBLICATION CHAIR* Matteo Zignani *Universit? degli Studi di Milano, Italy* *WEB CHAIR* Stephany Rajeh *University of Burgundy, France* *LOCAL COMMITTEE CHAIR* Juan Carlos Losada *Universidad Politecnica de Madrid, Spain* *Join us at *: COMPLEX NETWORKS 2020 Madrid Spain *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at d-iep.org Tue Mar 31 07:16:16 2020 From: info at d-iep.org (Dutch Institute for Emergent Phenomena) Date: Tue, 31 Mar 2020 13:16:16 +0200 Subject: Connectionists: Postdoc fellowships on Emergence research Message-ID: Dear All, The Dutch Institute for Emergent Phenomena is offering 3-year postdoc fellowships at the University of Amsterdam for research dealing with emergence in network science and other related areas. For more information and how to apply please visit: https://www.d-iep.org/diep-uvaopenpositions Best, J?come -- Dutch Institute for Emergent Phenomena d-iep.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue Mar 31 11:51:52 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Tue, 31 Mar 2020 16:51:52 +0100 Subject: Connectionists: CFP: SBAC - PAD 2020 - IEEE International Symposium on Computer Architecture and High Performance Computing Message-ID: SBAC - PAD 2020 - IEEE International Symposium on Computer Architecture and High Performance Computing Department of Computer Science, School of Sciences, University of Porto Porto, Portugal Web page: https://sbac2020.dcc.fc.up.pt E-mail: sbac2020 at dcc.fc.up.pt Call for Papers ------------------------------------------------------------------------------------------------------- SBAC-PAD is an international symposium, started in 1987, which has continuously presented an overview of new developments, applications, and trends in parallel and distributed computing technologies. SBAC-PAD is open for faculty members, researchers, specialists and graduate students around the world. In this edition, the symposium will be held at the University of Porto, Porto, Portugal. The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Authors are invited to submit manuscripts on a wide range of high-performance and distributed computing areas. Topics of interest include (but are not limited to): * Application-specific systems * Architecture and programming support for emerging domains (Big Data, Deep Learning, Machine learning, Cognitive Systems) * Benchmarking, performance measurements, and analysis * Cloud, cluster, and edge/fog computing systems * Embedded and pervasive systems * GPUs, FPGAs and accelerator architectures * Languages, compilers, and tools for parallel and distributed programming * Modeling and simulation methodology * Operating systems and virtualization * Parallel and distributed systems, algorithms, and applications * Power and energy-efficient systems * Processor, cache, memory, storage, and network architecture * Real-world applications and case studies * Reconfigurable, resilient and fault-tolerant systems Paper Submission ------------------------------------------------------------------------------------------------------- Submissions must be in English, 8 pages maximum, following the IEEE conference formatting guidelines. To be published in the conference proceedings and to be eligible for publication at the IEEE Xplore, at least one of the authors must register at the full rate and present her/his work. Authors may not use a single registration for multiple papers. Authors of accepted papers will be invited to submit extended versions of their papers for publication on the Journal of Parallel and Distributed Computing. The call will be open and will follow the normal journal submission procedure. Important Dates ------------------------------------------------------------------------------------------------------- Abstract deadline: May 15th, 2020 Paper deadline: May 22nd, 2020 Reviewing period: May 24-Jun 21, 2020 Author notification: June 26th, 2020 Camera-ready submission: July 3rd, 2020 Organizing Committee ------------------------------------------------------------------------------------------------------- General Chairs * In?sDutra.ines at dcc.fc.up.pt (University of Porto, Portugal) * Jorge Barbosa,jbarbosa at fe.up.pt (University of Porto, Portugal) * Miguel Areias,miguel-areias at dcc.fc.up.pt (University of Porto, Portugal) Program Co-chairs * Jorge Barbosa (University of Porto, Portugal) * Laurent Lef?vre (Inria, ENS Lyon, University of Lyon, France) * Lucia Drummond (Universidade Federal Fluminense, Brazil) Track Chairs * Computer Architecture o Chair: Jos? Moreira (IBM Thomas J. Watson Research Center, USA) * Networking and Distributed Systems o Chair: Jes?s Carretero (University Carlos III of Madrid, Spain) * Parallel Applications and Algorithms o Chair: Alba Melo (Universidade de Bras?lia, Brazil) * Performance Evaluation o Chair: Ariel Oleksiak (Pozna? Supercomputing and Networking Cente, Poland) * System Software o Chair: Jidong Zhai (Tsinghua University, China) Publicity Chairs * Carlos Ferreira, Instituto Superior de Engenharia, Portugal * Miguel Areias, University of Porto, Portugal * Feng Zhang, Renmin University of China Workshop Chairs * Miguel Areias, University of Porto, Portugal * Iv?n Carrera, Escuela Polit?cnica Nacional, Quito, Equador and University of Porto, Portugal Publications Chairs * IEEE - Proceedings o Rui Camacho, University of Porto, Portugal o Iv?n Carrera, Escuela Polit?cnica Nacional, Quito, Equador and University of Porto, Portugal * JPDC - Special Issue o Jorge Barbosa, University of Porto, Portugal Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From joseph.toscano at villanova.edu Tue Mar 31 10:17:39 2020 From: joseph.toscano at villanova.edu (Joseph Toscano) Date: Tue, 31 Mar 2020 14:17:39 +0000 Subject: Connectionists: Postdoc in speech perception and language processing Message-ID: <39206969-D4D3-42C9-B22A-081FC3738186@villanova.edu> Dear colleagues, I have an NSF-funded postdoc position available in my lab at Villanova (http://wraplab.co), which includes work aimed at developing models of spoken word recognition using neural network techniques. Additional details about the position are below, and the link to submit application materials is here: https://jobs.villanova.edu/postings/18594 Please forward to anyone who may be interested, and feel free to contact me with any questions. Thanks! Joe -- Joe Toscano, PhD Assistant Professor Psychological & Brain Sciences Villanova University 610-519-4755 http://joetoscano.com ---- Position Summary: The Department of Psychological and Brain Sciences and Dr. Joseph Toscano invite applications for a postdoctoral research position in spoken language processing. The postdoctoral fellow will be involved with research investigating the interaction between speech perception and higher-level language, using neural network models and event-related brain potential (ERP) experiments to study how these processes unfold over time and how they are influenced by context. Opportunities for training and supervising students involved with the research will also be provided. Villanova is a Catholic university sponsored by the Augustinian order. Diversity and inclusion have been and will continue to be an integral component of Villanova University?s mission. The University is an Equal Opportunity/Affirmative Action employer and seeks candidates who understand, respect and can contribute to the University?s mission and values. Duties and Responsibilities: The successful candidate will carry out research on speech perception and spoken language processing, including experiments using the event-related potential technique and computational modeling work. The candidate will also assist in training and supervising undergraduate and graduate students involved with the research. Minimum Qualifications: PhD in Psychology, Linguistics, Neuroscience, Cognitive Science, Speech and Hearing Science, or a related field is required. Preferred Qualifications: * A background in speech perception, phonetics, hearing, and/or psycholinguistics is strongly preferred. Experience with computational modeling, cognitive neuroscience techniques (particularly the event-related potential technique), and/or acoustic analysis is also preferred. * Candidates should have doctoral-level research experience in at least one of the areas mentioned above. * Candidates should demonstrate strong written and verbal communication skills, as evidenced by journal articles and conference presentations, as well as the ability to work independently and as part of a team. * Familiarity with Brain Products EEG equipment is desired, and familiarity with MATLAB, Python, and/or R is preferred. Application package must include the following: 1. a cover letter (including a statement of career goals), 2. a curriculum vitae, 3. a brief research statement that summarizes the applicant?s current work and future plans (maximum 2 pages), 4. contact information for 3 references who will be contacted via email to submit confidential letters of recommendation when the application is submitted, and 5. an unofficial transcript of all graduate work. Official transcripts will only be required from finalists. Submit application materials here: https://jobs.villanova.edu/postings/18594 -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue Mar 31 12:40:47 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Tue, 31 Mar 2020 17:40:47 +0100 Subject: Connectionists: CFP: Big Data & Deep Learning in HPC (IEEE Xplore) @Porto, Portugal Message-ID: <8eb55842-ec48-7201-df32-1f839222bafa@isep.ipp.pt> Workshop on BIG DATA & DEEP LEARNING in HIGH PERFORMANCE COMPUTING (https://sbac2020.dcc.fc.up.pt/bdl2020/) in conjunction with the IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2020) (https://sbac2020.dcc.fc.up.pt/) September 9, 2020, Porto, Portugal The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism. ------------------------------------ WORKSHOP ON BIG DATA & DEEP LEARNING IN HIGH PERFORMANCE COMPUTING ------------------------------------ The number of very large data repositories (big data) is increasing in a rapid pace. Analysis of such repositories using the "traditional" sequential implementations of ML and emerging techniques, like deep learning, that model high-level abstractions in data by using multiple processing layers, requires expensive computational resources and long running times. Parallel or distributed computing are possible approaches that can make analysis of very large repositories and exploration of high-level representations feasible. Taking advantage of a parallel or a distributed execution of a ML/statistical system may: i) increase its speed; ii) learn hidden representations; iii) search a larger space and reach a better solution or; iv) increase the range of applications where it can be used (because it can process more data, for example). Parallel and distributed computing is therefore of high importance to extract knowledge from massive amounts of data and learn hidden representations. The workshop will be concerned with the exchange of experience among academics, researchers and the industry whose work in big data and deep learning require high performance computing to achieve goals. Participants will present recently developed algorithms/systems, on going work and applications taking advantage of such parallel or distributed environments. ------------------------------------ LIST OF TOPICS ------------------------------------ All novel data-intensive computing techniques, data storage and integration schemes, and algorithms for cutting-edge high performance computing architectures which targets Big Data and Deep Learning are of interest to the workshop. Examples of topics include but not limited to: - parallel algorithms for data-intensive applications; - scalable data and text mining and information retrieval; - using Hadoop, MapReduce, Spark, Storm, Streaming to analyze Big Data; - energy-efficient data-intensive computing; - deep-learning with massive-scale datasets; - querying and visualization of large network datasets; - processing large-scale datasets on clusters of multicore and manycore processors, and accelerators; - heterogeneous computing for Big Data architectures; - Big Data in the Cloud; - processing and analyzing high-resolution images using high-performance computing; - using hybrid infrastructures for Big Data analysis. - New algorithms for parallel/distributed execution of ML systems; - applications of big data and deep learning to real-life problems. ------------------------------------ KEY DATES ------------------------------------ Deadline for paper submission: May 25, 2020 Author notification: July 1, 2020 Camera-ready version of papers: July 25, 2020 ------------------------------------ SUBMISSION ------------------------------------ We invite authors to submit original work to BDL. All papers will be peer reviewed and accepted papers will be published in IEEE Xplore. Submissions must be in English, limited to 8 pages in the IEEE conference format (see https://www.ieee.org/conferences/publishing/templates.html) All submissions should be made electronically through the EasyChair system: https://easychair.org/conferences/?conf=bdl2020 ------------------------------------ REGISTRATION ------------------------------------ A full registration to the workshop and presentation are needed in order to have your paper included in the workshop proceedings. The Workshop fee is 300 euros. Registration system available in https://sbac2020.dcc.fc.up.pt/bdl2020/registration.html ------------------------------------ VENUE ------------------------------------ Department of Computer Science, Faculty of Sciences, University of Porto Rua do Campo Alegre 1021/1055 4169-007 Porto, Portugal The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism. ------------------------------------ ORGANIZATION ------------------------------------ Carlos Ferreira (LIAAD - INESC TEC LA and Polytechnic Institute of Porto) Jo?o Gama (LIAAD - INESC TEC LA and University of Porto) Albert Bifet (Telecom ParisTech) Miguel Areias (CRACS - INESC TEC LA and University of Porto) Rui Camacho (LIAAD -INESC TEC LA and University of Porto) Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From marcin at amu.edu.pl Tue Mar 31 17:44:32 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Tue, 31 Mar 2020 23:44:32 +0200 Subject: Connectionists: Call for Papers -->Advances in Software and Systems Engineering (ASSE) --> Technical Session within FedCSIS 2020 In-Reply-To: References: Message-ID: CALL FOR PAPERS ********************************************************************** Technical Section: Advances in Software and Systems Engineering (ASSE) https://fedcsis.org/2020/asse Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020), Track 5 Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ https://www.fedcsis.org/2020/sse ********************************************************************** AIMS & SCOPE Advances in Software and Systems Engineering (ASSE) is a workshop organized in the scope of the FedCSIS Track 5. It is aimed at covering all research aspects related to the development and application of various methodologies, techniques, and technologies in Software and System Engineering (SSE). We particularly emphasize here a strong synergy of Software and System Engineering, in various ways. One viewpoint of such synergy is in the fact that many Software Engineering methods and techniques were evolved to the level of their practical application in System Engineering, and by this they were also recognized latter on as very successful and common System Engineering methods and techniques. Another important viewpoint is in that services and products engineered by various Software Engineering methods and techniques become components of often very complex systems in various problem domains. By this, engineers are mostly forced to synchronously apply both Software and System Engineering methods and techniques to specify and develop complex systems in the target problem domains. The third and not less important viewpoint is that software systems are to be also observed as systems in general. In this way, software engineers need to apply not only specific software engineering methods and techniques in the software development process, but also common system engineering methods and techniques. The main goal of ASSE is to address open questions and real potentials for various applications of modern methodologies, techniques, and technologies in Software and System engineering so as to develop and implement effective software services in the support of information management and system engineering. Also, ASSE targets all research and development aspects, which bring to the societies new or improved approaches, processes, methodologies, or techniques of SSE. TOPICS Submissions to ASSE are expected from, but not limited to the following topics: * Advanced methodology approaches in SSE ? new research and development issues * Advanced SSE Process Models * Applications of SSE in various problem domains ? problems and lessons learned * Applications of SSE in Lean Production and Lean Software Development * Total Quality Management and Standardization for SSE * Artificial Intelligence and Machine Learning methods in advancing SSE approaches * SSE for Information and Business Intelligence Systems * SSE for Embedded, Agent, Intelligent, Autonomous, and Cyber-Physical Systems * SSE for Design of Multimedia and Interaction Systems * SSE with User Experience and Interaction Design Methods * SSE with Big Data and Data Science methods * SSE with Blockchain and IoT Systems * SSE for Cloud and Service-Oriented Systems PAPER SUBMISSION * Authors should submit draft papers (as Postscript, PDF or MSWord file). * The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). * Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. * Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. * Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. * Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. * Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar. * Organizers reserve right to move accepted papers between FedCSIS events. * It is expected that extended versions of best papers presented during the workshop will be invited for further procedure in the journals: ComSIS, ISI IF(2018) = 0.620, and COLA, ISI IF(2017) = 0.971. * For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions IMPORTANT DATES * Paper submission (sharp/no extension): May 15, 2020 * Position paper submission: June 9, 2020 * Author notification: June 30, 2020 * Final paper submission and registration: July 15, 2020 * Conference: September 6 - 9, 2020 TECHNICAL SESSION CHAIRS: Ivan Lukovic, University of Novi Sad, Serbia Geylani Kardas, Ege University International Computer Institute, Turkey Manuel Mazzara, Innopolis University, Russia -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From sarathcse2008 at gmail.com Tue Mar 31 22:56:54 2020 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Tue, 31 Mar 2020 22:56:54 -0400 Subject: Connectionists: CfP: Fourth Workshop on Lifelong Learning @ICML 2020 Message-ID: Dear Colleagues, We would like to invite you to submit your work to the fourth Lifelong Learning Workshop at ICML 2020, which will be held virtually (due to COVID-19) on July 17/18, 2020. IMPORTANT INFORMATION ************************************************ Website: https://lifelongml.github.io/ Date: 17 or 18 July 2020 Location: Virtual Submission deadline: 20th May 2020, 11:59 PM Anywhere on Earth KEYNOTE SPEAKERS ************************************************ - Katja Hofmann (Microsoft Research) - Irina Rish (University of Montreal) - Jurgen Schmiduber (IDSIA) - Rich Sutton (University of Alberta) - Partha Pratim Talukdar (Indian Institute of Science) SUBMISSION ************************************************ The submitted work should be between 4-8 pages (excluding references). Recently published (or under-review) work is also welcome. The submission should be in pdf format and should follow the style guidelines for ICML 2020 (found here ). The review process is double-blind, and the work should be submitted by the latest 20th May 2020, 11:59 PM (Anywhere on Earth). Submissions must be made using OpenReview . There will be no formal publication of workshop proceedings. However, the accepted papers will be made available online on the workshop website. Best paper awards (a total of 2000$) will be given to the highest-quality original submission(s) from students. AREAS OF INTEREST ************************************************ - Catastrophic forgetting - Capacity expansion techniques - Modularity and Compositionality for lifelong learning - Transfer Learning - Multi-task Learning - Curriculum Learning - Meta-Learning - New architectures for lifelong learning - Determine new, challenging benchmark domains - Using Hierarchical Abstractions to perform lifelong reinforcement learning (e.g., skills/options and state-space representations) WORKSHOP ORGANIZERS ************************************************ - Shagun Sodhani (Facebook AI Research) - Sarath Chandar (Polytechnique Montreal / Mila) - Balaraman Ravindran (Indian Institute of Technology) - Doina Precup (Mila / McGill University / DeepMind) We look forward to reviewing your submissions! Kind regards, Shagun, Sarath, Ravi, Doina Lifelong Learning Workshop organizers (Contact: lifelongml at gmail.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: