From fabio.bellavia at unifi.it Wed Jul 1 04:13:20 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Wed, 1 Jul 2020 10:13:20 +0200 Subject: Connectionists: CFP - MAES@ICPR2020 workshop - SUBMISSIONS ARE NOW OPEN! Message-ID: <152e3953-9797-0734-929f-397a0cbdc7c2@unifi.it> ???????????????????? MAES2020 workshop at ICPR2020 ?????????? ---===== Apologies for multiple posting =====--- ????????? Please distribute this call to interested parties _______________________________________________________________________ ?? Machine Learning Advances Environmental Science (MAES at ICPR2020) ?????????????????????????? workshop at the ?? 25th International Conference on Pattern Recognition (ICPR2020) ????????????????? Milan, Italy, January 10, 2021 ???????? >>> https://sites.google.com/view/maes-icpr2020/ <<< ?????? S U B M I S S I O N S???? A R E?? N O W??? O P E N?? ! ! ! ??? * PLEASE NOTE THAT PAPERS NOT ACCEPTED IN THE ICPR2020 GENERAL * ????? SESSION AND FITTING MAES TOPICS COULD BE SUBMITTED HERE !!! ??? ----> https://easychair.org/conferences/?conf=maesicpr2020 <---- ????????????? /// Submission deadline: 10 October 2020 /// _______________________________________________________________________ ?=== Aim & Scope === Environmental data are growing steadily in volume, complexity and diversity to Big Data mainly driven by advanced sensor technology. Machine learning can offer superior techniques for unravelling complexity, knowledge discovery and predictability of Big Data environmental science. The aim of the workshop is to provide a state-of-the-art survey of environmental research topics that can benefit from Machine Learning methods and techniques. To this purpose the workshop welcomes papers on successful environmental applications of machine learning and pattern recognition techniques to? diverse domains of Environmental Research, for instance, recognition of biodiversity in thermal, photo and acoustic images, natural hazards analysis and prediction, environmental remote sensing, estimation of environmental risks, prediction of the concentrations of pollutants in geographical areas, environmental threshold analysis and predictive modelling, estimation of Genetical Modified Organisms (GMO) effects on non-target species. The workshop will be the place to make an analysis of the advances of Machine Learning for the Environmental Science and should indicate the open problems in environmental research that still have not properly benefited from Machine Learning. Extended papers of this workshop will be published as a special issue in the journal of Environmental Modelling and Software, Elsevier. ?=== Important Dates === -? 10 October? 2020 - workshop submission deadline -? 10 November 2020 - author notification -? 15 November 2020 - camera-ready submission -?? 1 December 2020 - finalized workshop program ?=== Organizers === ? Francesco Camastra, Universita' di Napoli Parthenope, Italy ?Friedrich Recknagel, University of Adelaide, Australia ??? Antonino Staiano, Universita' di Napoli Parthenope, Italy ?== Publicity chair == ????? Fabio Bellavia, Universita' di Palermo, 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/ From fabio.bellavia at unifi.it Wed Jul 1 03:44:17 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Wed, 1 Jul 2020 09:44:17 +0200 Subject: Connectionists: CFP - FAPER2020 workshop at ICPR2020 - INVITED SPEAKER ANNOUNCED AND PAPER SUBMISSION NOW OPEN! Message-ID: ?????????????????? FAPER2020 workshop at ICPR2020 ?????????? ---===== Apologies for cross-postings =====--- ????????? Please distribute this call to interested parties _______________________________________________________________________ ?International Workshop on Fine Art Pattern Extraction and Recognition ????????????????????????? F A P E R?? 2 0 2 0 ??????????????????? workshop in conjunction with the ??? 25th International Conference on Pattern Recognition (ICPR2020) ???????????????????? Milan, Italy, January 11, 2021 ???????? >>> https://sites.google.com/view/faper-workshop/ <<< ?????? P A P E R?? S U B M I S S I O N?? I S?? N O W?? O P E N ! ??? * PLEASE NOTE THAT PAPERS NOT ACCEPTED IN THE ICPR2020 GENERAL * ????? SESSION AND FITTING FAPER2020 TOPICS COULD BE SUBMITTED HERE ??? -----> https://easychair.org/conferences/?conf=faper2020 <----- ??????????? *** Submission deadline: October 10, 2020 *** _______________________________________________________________________ === Aim & Scope === Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites. The aim of the workshop is to provide an international forum for those who wish to present advancements in the state of the art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for the better understanding and fruition of fine arts. The workshop solicits contributions from diverse areas such as pattern recognition, computer vision, artificial intelligence and image processing. === Topics === Topics of interest include, but are not limited to: - Application of machine learning and deep learning to cultural heritage - Computer vision and multimedia data - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Historical document analysis - Content-based retrieval in the art domain - Speech, audio and music analysis from historical archives - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Projects, products or prototypes for cultural heritage restoration, preservation and fruition === Invited Speaker === Fabio Remondino (3DOM|FBK, Italy) Dr. Fabio Remondino is the head of the 3D Optical Metrology (http://3dom.fbk.eu) research unit at FBK - Bruno Kessler Foundation (http://www.fbk.eu), a public research center located in Trento, Italy. His main research interests are in the field of reality-based surveying and 3D modeling, sensor and data fusion and 3D data classification. He is working in all automation aspects of the entire 3D reconstruction pipeline for applications in the industrial, environmental and heritage field. He is author of more than 200 articles in journals and conferences. He is involved in knowledge and technology transfer, organizing more than 30 conferences, 20 summerschools and 5 tutorials. Fabio is currently serving as President of the ISPRS Technical Commission II (http://www.isprs.org) and Vice-President of EuroSDR (http://eurosdr.net). He was vice-President of CIPA Heritage Documentation (https://www.cipaheritagedocumentation.org/) from 2015 to 2019. === Important Dates === -? October? 10th 2020 - workshop submission deadline -? November 10th 2020 - author notification -? November 15th 2020 - camera-ready submission -? December? 1st 2020 - finalized workshop program === Submission Guidelines === Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines. The following paper categories are welcome: - Full papers (12-15 pages, including references) - Short papers? (6-8 pages, including references) Accepted manuscripts will be included in the ICPR 2020 Workshop Proceedings Springer volume. Once accepted, at least one author is expected to attend the event and orally present the paper. === FAPER 2020 Special Issue === Authors of selected papers will be invited to extend and improve their contributions in the Special Issue "Fine Art Pattern Extraction and Recognition" of the Journal of Imaging (MDPI). - https://www.mdpi.com/journal/jimaging/special_issues/faper2020 - === Organizing committee === Gennaro Vessio (University of Bari, Italy) Giovanna Castellano (University of Bari, Italy) Fabio Bellavia (University of Palermo, Italy) === Venue === The workshop will be hosted at Milan Congress Center (Mi.Co.), which is located in Piazzale Carlo Magno 1, Milan, Italy. _________________________________________________________ ?Contacts: gennaro.vessio at uniba.it ?????????? giovanna.castellano at uniba.it ?????????? fabio.bellavia at unipa.it ?Workshop: https://sites.google.com/view/faper-workshop/ ?ICPR2020: https://www.micc.unifi.it/icpr2020/ From publicity at cikm2020.org Wed Jul 1 07:34:09 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Wed, 1 Jul 2020 19:34:09 +0800 Subject: Connectionists: CIKM2020 AnalytiCup - COVID-19 Retweet Prediction Challenge Message-ID: * Apologies for cross-posting * Announcing the *2nd CIKM2020 sponsored Analyticup challenge* ************************************************************************************ *** COVID-19 RETWEET PREDICTION CHALLENGE *** In conjunction with CIKM 2020 (https://cikm2020.org/) (October 19th-23rd, 2020 - online) Sponsored by *GESIS ? Leibniz Institute for the Social Sciences*, *HUU - Heinrich Heine University D?sseldorf*, *L3S Research Center*and *Chongqing University of Technology*. More details on the task page *here *. ************************************************************************************ *Task description* The goal of this challenge is to predict the popularity of COVID-19-related tweets in terms of the number of their retweets. Retweeting?re-posting original content without any change?is a popular function in Twitter and can be seen as amplifying the spread of original messages. This makes retweet prediction a crucial task when studying online information diffusion processes during a time of crisis such as the current COVID-19 pandemic The retweet prediction task in the challenge is based on the TweetsCOV19 dataset --- a publicly available dataset containing more than 8 million COVID-19-related tweets, spanning the period October 2019 to April 2020. The COVID-19 Retweet Prediction Challenge is part of the CIKM2020 AnalytiCup, and the winners will be invited to present their solutions during the *online* AnalytiCup Workshop in October 2020. *Timeline* - 01.07.20 Contest and Phase 1 Begin (Validation Leaderboard opens) - 15.08.20 Phase 2 Begin (Testing Leaderboard opens) - 24.08.20 Last Shot & Contest End - 01.09.20 Semi-finalists Announcement - 01.10.20 Report & Code Due - 20.10.20 Winner Announcement *Prizes* Non-cash prizes worth 2.500? EUR provided by L3S Research Center Are you competitive enough to participate? Check it out here! Organizers: Dimitar Dimitrov,* GESIS ? Leibniz Institute for the Social Sciences, Germany* Xiaofei Zhu, *Chongqing University of Technology, China* AnalytiCup Chairs: Dimitar Dimitrov,* GESIS ? Leibniz Institute for the Social Sciences, Germany* Xiaofei Zhu, *Chongqing University of Technology, China* -------------- next part -------------- An HTML attachment was scrubbed... URL: From huiyu_kang at fudan.edu.cn Wed Jul 1 06:23:24 2020 From: huiyu_kang at fudan.edu.cn (=?utf-8?Q?huiyu=5Fkang?=) Date: Wed, 1 Jul 2020 18:23:24 +0800 Subject: Connectionists: =?utf-8?q?Post-doc_Position_=7C_Neural_and_Intell?= =?utf-8?q?igence_Engineering_Center=2C_Institute_of_Science_and_Technolog?= =?utf-8?q?y_for_Brain-inspired_Intelligence=2C_Fudan_University=2C_Shangh?= =?utf-8?q?ai=2C_China?= Message-ID: <36153D05-0BDA-45CA-89F9-4EB9AA32C577@fudan.edu.cn> An HTML attachment was scrubbed... URL: From jenny.benois-pineau at u-bordeaux.fr Wed Jul 1 09:48:07 2020 From: jenny.benois-pineau at u-bordeaux.fr (jbenoisp) Date: Wed, 1 Jul 2020 15:48:07 +0200 Subject: Connectionists: ICPR2020 Explainable DL-AI WS. Submission site is open Message-ID: <9BEB21B7-593B-40C8-9000-CD98665303F7@u-bordeaux.fr> ----------------We apologize if you receive this message several times--------- Call for papers ICPR?2020 Workshop. Submission Site Open **************************Explainable Deep Learning/AI******************** https://edl-ai-icpr.labri.fr/ Date: January 11th 2021 The recent focus of AI and Pattern Recognition communities on the supervised learning approaches, and particularly to Deep Learning / AI, resulted in considerable increase of performance of Pattern Recognition and AI systems, but also raised the question of the trustfulness and explainability of their predictions for decision-making. Instead of developing and using Deep NNs as black boxes and adapting known architectures to variety of problems, the goal of explainable Deep Learning / AI is to propose methods to ?understand? and ?explain? how the these systems produce their decisions. The goals of the workshop are to bring together research community which is working on the question of improving explainability of AI and Pattern Recognition algorithms and systems. The topics of the workshop cover but are not limited to: ? ?Sensing? or ?salient features? of Neural Networks and AI systems - explanation of which features for a given configuration yield predictions both in spatial (images) and temporal (time-series, video) data; ? Attention mechanisms in Deep Neural Networks and their explanation; ? For temporal data, the explanation of which features and at what time are the most prominent for the prediction and what are the time intervals when the contribution of each data is important; ? How the explanation can help on making Deep learning architectures more sparse (pruning) and light-weight; ? When using multimodal data how the prediction in data streams are correlated and explain each other; ? Automatic generation of explanations / justifications of algorithms and systems? decisions; ? Decisional uncertainly and explicability ? Evaluation of the explanations generated by Deep Learning and other AI systems. *** Pannel: ?Toward more explainable Deep Learning and AI systems?, Chair: Dragutin Petcovic(SFSU,USA) Moderator will ask invited speakers to briefly present their opinions and ideas on the topic of the panel and then the audience will be invited to a discussion *** Important Dates: Submission deadline : October 10th 2020 Workshop author notification: November 10th 2020 Camera-ready submission: November 15th 2020 Finalized workshop program: December 1st 2020 *** Paper Submission: The Proceedings of the EDL-AI 2020 workshop will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Papers will be selected by a single blind (reviewers are anonymous) review process. Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines. Two types of contribution will be considered: Full paper (12-15 pages) Short papers (6-8 pages) *** Submission site: is Open Program Committee: Christophe Garcia (LIRIS, France) Hugues Talbot (EC, France) Dragutin Petkovic (SFSU,USA) Alexandre Beno?t( LISTIC,France) Mark T. Keane (UCD, Ireland) Georges Quenot(LIG, France) Stefanos Kolias (NTUA, Grece) Jenny Benois-Pineau(LABRI, France) Herv? Le Borgne (LIST, France) Noel O?Connor (DCU, Ireland) Nicolas Thome(CNAM, France) Jenny Benois-Pineau, Georges Quenot Workshop Organizers Jenny Benois-Pineau, Professeure en Informatique, Charg?e de mission aux relations Internationales Coll?ge Sciences et Technologies, Universit? de Bordeaux Jenny Benois-Pineau, PhD, HDR, Professor of Computer Science, Chair of International relations Faculty of Sciences and Technologies University of Bordeaux From info at aimove.eu Wed Jul 1 10:14:08 2020 From: info at aimove.eu (AIMove Post Master's Degree) Date: Wed, 01 Jul 2020 16:14:08 +0200 Subject: Connectionists: Post Masters' Degree AIMove at MINES ParisTech is hiring a Pedagogical Engineer & Manager In-Reply-To: References: <80414f32350134a8b35d9bd0e3b845ef@aimove.eu> <0b6f1c51-7dc9-f197-f7b9-f449142639c1@actuia.com> <78c8c59047aa20f0eedd6be449b4c602@aimove.eu> Message-ID: <568bf98c769c5debac886a8a191b9c88@aimove.eu> Dear all, Post Masters' Degree AIMove at MINES ParisTech is currently looking for a passionate Pedagogical Engineer & Manager who will conceptualise and implement the digital pedagogical content for AIMove. For further information about the desirable profile, expected experience and the benefits from working within our multidisciplinary team, you can check the description below. Please feel free to extend this offer to your circle. https://aimove.eu/2020/06/26/we-are-hiring-pedagogical-engineer-manager/ ------ FR Nous nous permettons de vous contacter car dans le cadre du d?veloppement de ses activit?s de recherche et d'enseignement dans le domaine de l'Intelligence Artificielle, MINES ParisTech, membre de PSL Universit? Paris, recrute un chef de projet e-learning. Ce poste s'adresse ? un ing?nieur p?dagogique avec des comp?tences techniques capable de mener ? bien les projets li?s aux activit?s e-learning du MS AIMove, y compris l'int?gration et l'administration de la plateforme LMS. Si cette offre peut int?resser quelqu'un de votre entourage professionnel, merci de leur transmettre la fiche de poste en pi?ce joint ou le lien ci-apr?s: https://aimove.eu/2020/06/26/we-are-hiring-pedagogical-engineer-manager/ Cordialement, l'?quipe d'AIMove Sotiris Manitsaris R?sponsable et Directeur de AIMove Alina Glushkova Directrice adjointe Ioanna Thanou Program Manager -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: We are hiring - Pedagogical Engineer & Manager.pdf Type: application/pdf Size: 178013 bytes Desc: not available URL: From antonior at usp.br Wed Jul 1 10:52:19 2020 From: antonior at usp.br (Antonio Roque) Date: Wed, 1 Jul 2020 11:52:19 -0300 Subject: Connectionists: Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil Message-ID: Positions for Postdoctoral Researchers The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of S?o Paulo, Brazil, and funded by the S?o Paulo Research Foundation (FAPESP), is offering *three post-doctoral fellowships* for recent PhDs with outstanding research potential. The research will involve collaborations with experimental and theoretical groups and laboratories associated to NeuroMat. The research to be developed by the post-doc fellows shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (main campus, S?o Paulo), USP campus Ribeir?o Preto or University of Campinas (UNICAMP). We seek candidates capable to develop independent research in one of the research lines below: 1. Stochastic and/or computational modeling of the brain functioning; 2. Acquisition, processing and quantitative analysis of electrophysiological data; 3. Biomedical devices for neuroscience research. Candidates to the first research line are required to have at least one of the profiles below: - A strong background in probability theory with emphasis on stochastic processes. Previous knowledge of rigorous statistical mechanics or random graphs will be favorably considered; and/or - A strong mathematical and / or computational background and experience with computers and programming. Previous experience with development and / or simulation of neural brain models, complex networks and parallel computing will be favorably considered. Candidates to the second research line are required to have at least one of the profiles below: - A strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming; and/or - A strong background in computer science with experience in the development of algorithms, software tools and data bases. Previous research experience in neuroscience or related areas will be favorably considered. Candidates to the third research line are required to have at least one of the profiles below: - A strong background in electromagnetism and biomedical engineering. Previous knowledge of transcranial magnetic stimulation or magnetic / electric field simulation will be favorably considered; and/or - A strong background in computer science and control software development expertise. Previous experience with neuroscience and neuronavigation systems will be favorably considered. Previous experience with multidisciplinary research teams is welcome for all the above research lines. The initial appointment is for one year, with a possible extension to up to four years, conditional on research progress. The fellowship is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. *Application Instructions* Applicants should complete and submit the application form (https://neuromat.numec.prp.usp.br/postdoc/new/). The following documents and information are requested (please see the form for further details): - Summary of the CV, in the FAPESP format (see http://www.fapesp.br/en/6351 for instructions); - List of publications, with links to those available online; - A summary of the research plan for the next year, up to 5 pages length. It should explicitly state for which of the three above profiles the candidate is applying. It should also address its place within the framework of the NeuroMat research program ( https://neuromat.numec.prp.usp.br/scientific-project/). - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested; - Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl at numec.prp.usp.br. FAPESP requirements: The candidate should have concluded a doctorate less than seven years before the beginning of the PD fellowship. The fellowship demands full-time dedication to the research project (except under conditions outlined in resolution PR N? 13/2009, 15 July 2009). The fellowship holder may not hold any formal or informal employment nor receive, during the term of the fellowship, a fellowship from another entity, salary or remuneration deriving from the exercise of activities of whatever nature (except under conditions outlined in the decree PR N? 13/2009, 15 July 2009). *Timetable* Candidates are encouraged to apply at their earliest convenience until August 16, 2020. Appointments are expected to start by November 1st, 2020. The initial period of the position lasts for 12 months, with possible renovations for up to three years. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Post-Doctoral fellowships in the amount of R$ 7,373.10 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent in items directly related to the research activity. Check the rules of FAPESP post-doctoral fellowships at: http://www.fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior at usp.br aroquesilva at gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887> -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Wed Jul 1 12:43:21 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Wed, 1 Jul 2020 18:43:21 +0200 Subject: Connectionists: [2nd CfP] ICLP DC 2020 - 16th Doctoral Consortium (DC) on Logic Programming Message-ID: *** ICLP DC 2020 - 16th Doctoral Consortium (DC) on Logic Programming *** The 16th Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. The preliminary website of the DC can be found at: https://sites.google.com/view/iclp-dc-2020/iclp-2020-doctoral-consortium The DC will take place during the 36th International Conference on Logic Programming (ICLP) https://iclp2020.unical.it/ (September 18-24, 2020), hosted by the University of Calabria, Italy, as a fully virtual event. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. We aim to find sponsoring to cover the registration cost of students participating in the DC, but this still has to be confirmed. Important Dates Paper submission: July 11, 2020 Notification: July 25, 2020 Camera-ready copy: August 6, 2020 DC presentations: Sunday, September 20, 2020 (fully virtual event) However, DC students are highly recommended to attend the Autumn School on Logic Programming and Constraint Programming on: Friday and Saturday, September 18-19, 2020: https://sites.google.com/view/iclp-dc-2020/autumn-school-on-logic-programming Audience The DC is designed for students currently enrolled in a Ph.D. program, though we are also open to exceptions (e.g., students currently in a Master's program and interested in doctoral studies). Students at any stage in their doctoral studies are encouraged to apply for participation in the DC. Applicants are expected to conduct research in areas related to logic and constraint programming; topics of interest include (but are not limited to): Theoretical Foundations of Logic and Constraint Logic Programming Sequential and Parallel Implementation Technology Static and Dynamic Analysis, Abstract Interpretation, Compilation Technology, Verification Logic-based Paradigms (e.g., Answer Set Programming, Concurrent Logic Programming, Inductive Logic Programming) Innovative Applications of Logic Programming Submissions by students who have presented their work at previous ICLP DC editions are allowed, but should occur only if there are substantial changes or improvements to the student's work. The DC offers participants a convenient, more informal way to interact with established researchers and fellow students, through presentations, question-answer sessions, panel discussions, and invited presentations. The Doctoral Consortium will also provide the possibility to reflect - through short activities, information sessions, and discussions - on the process and lessons of research and life in academia. Each participant will give a short, critiqued, research presentation. Discussants Renowned experts and researchers in the fields of logic and constraint programming will join in evaluating submissions and will participate in the DC, providing valuable feedback to DC participants. Goals To provide doctoral students working in the fields of logic and constraint programming with a friendly and open forum to present their research ideas, listen to ongoing work from peer students, and receive constructive feedback. To provide students with relevant information about important issues for doctoral candidates and future academics. To develop a supportive community of scholars and a spirit of collaborative research. To support a new generation of researchers with information and advice on academic, research, industrial, and non-traditional career paths. Submission Details The DC is designed for students currently enrolled in a Ph.D. program, however Master's students who are actively involved in research (please see the list of topics below) can also participate in the DC program. Applicants are expected to conduct research in areas related to logic and constraint programming. Topics included, but not limited to: Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. Languages: Concurrency, Objects, Coordination, Mobility, Higher Order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming Techniques. Declarative programming: Declarative program development, Analysis, Type and mode inference, Partial evaluation, Abstract interpretation, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. Implementation: Virtual machines, Compilation, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. Related Paradigms and Synergies: Inductive and Co-inductive Logic Programming, Constraint Logic Programming, Answer Set Programming, Interaction with SAT, SMT and CSP solvers, Logic programming techniques for type inference and theorem proving, Argumentation, Probabilistic Logic Programming, Relations to object-oriented and Functional programming. Applications: Databases, Big Data, Data integration and federation, Software engineering, Natural language processing, Web and Semantic Web, Agents, Artificial intelligence, Computational life sciences, Education, Cybersecurity, and Robotics. Submissions of the research summary must be made in EPTCS format (http://info.eptcs.org/) and submitted via EasyChair. All papers must be written in English and should be between 5 and 10 pages. For all accepted DC papers, the student is required to attend the DC program and give a presentation during the DC. A program committee consisting of experts in various areas related to logic and constraint programming reviews the submissions. Papers are reviewed by at least two, and usually three, referees. The submission package should consist of the research summary in the format mentioned above, a short vita or cover letter of the applicant, a letter of recommendation from applicant's faculty advisor, and one paragraph statement outlining how the school will benefit the applicant. All material is to be submitted electronically, in PDF format on the Easychair system. Easychair link: https://easychair.org/conferences/?conf=iclp20200 (Doctoral Consortium track) Research summary (make sure to include your complete name, address, and affiliation): The body of your research summary (no more than 10 pages, but 5 is fine as well!) should provide a clear overview of your research, its potential impact, and its current status. You are encouraged to include the following sections: Introduction and problem description Background and overview of the existing literature Goal of the research Current status of the research Preliminary results accomplished (if any) Open issues and expected achievements Bibliographical references Review Criteria The DC program committee will select participants based on their anticipated contribution to the DC objectives. Participants typically have settled on their thesis directions and have their research proposal accepted by their thesis committee. Students will be selected based on clarity and completeness of their submission package, relevance of their research area w.r.t. the focus of ICLP, stage of research, recommendation letter, and evidence of promise towards a successful career in research and academia, such as published papers or technical reports. Registration Registration is part of the ICLP 2020 registration. Registration costs for ICLP will be lower than usual since it is virtual this year. We aim to find sponsoring to cover the registration cost of students participating in the DC, but this still has to be confirmed. Program co-chairs Bart Bogaerts, Vrije Universiteit Brussel Daniela Inclezan, Miami University Program Committee Carmine Dodaro, University of Calabria Jorge Fandinno, Potsdam University Fabio Fioravanti, University of Chieti-Pescara Paul Fodor, Stony Brook University Martin Gebser, University of Klagenfurt Jose F. Morales, IMDEA Software Research Institute Zeynep G. Saribatur, Vienna University of Technology Frank Valencia, LIX, Ecole Polytechnique -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From timofte.radu at gmail.com Wed Jul 1 11:49:25 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Wed, 1 Jul 2020 17:49:25 +0200 Subject: Connectionists: Call For Papers: ECCV 2020 Advances in Image Manipulation workshop [DEADLINE JULY 10] Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 8 CHALLENGES AIM: 2nd Advances in Image Manipulation workshop and challenges on real image super-resolution, efficient SR, extreme SR, relighting, extreme inpainting, learned ISP, Bokeh effect, video temporal SR In conjunction with ECCV 2020, Glasgow, UK Website: https://data.vision.ee.ethz.ch/cvl/aim20/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to: ? Image-to-image translation ? Video-to-video translation ? Image/video manipulation ? Perceptual manipulation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation ? Perceptual enhancement ? Multimodal translation ? Depth estimation ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Aerial and satellite imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video manipulation on mobile devices ? Image/video restoration and enhancement on mobile devices ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 14 pages (excluding references) in ECCV style. The paper format must follow the same guidelines as for all ECCV submissions. https://eccv2020.eu/author-instructions/ The review process is double blind. For the paper submissions, please go to the online submission site https://cmt3.research.microsoft.com/AIMWC2020 Author Kit: https://eccv2020.eu/wp-content/uploads/2020/01/eccv2020kit-1.zip Accepted and presented papers will be published in the ECCV Workshops Proceedings. WORKSHOP DATES ? Submission Deadline: July 10, 2020 ? Decisions: July 20, 2020 ? Camera Ready Deadline: July 30, 2020 IMAGE CHALLENGES (*ongoing!*): 1. Bokeh effect simulation (tracks: on smartphone GPU, on CPU) 2. Learned ISP (RAW to RGB mapping) (tracks: fidelity, perceptual) 3. Real super-resolution (tracks: x2, x3, x4) 4. Relighting (tracks: any to one, any to any relighting, illumination estimation) 5. Efficient super-resolution 6. Extreme inpainting (tracks: classic, semantic guidance) VIDEO CHALLENGES (*ongoing!*): 1. Video temporal super-resolution (frame interpolation) 2. Video extreme super-resolution (tracks: fidelity, perceptual) PARTICIPATION To learn more about the challenges and to participate: https://data.vision.ee.ethz.ch/cvl/aim20/ ? Competitions end: July 10, 2020 ORGANIZERS - Radu Timofte, Andrey Ignatov, Kai Zhang, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Andres Romero (ETH Zurich, Switzerland) - Luc Van Gool (KU Leuven, Belgium and ETH Zurich, Switzerland) - Wangmeng Zuo, Hannan Lu (Harbin Institute of Technology, China) - Shuhang Gu (University of Sydney, Australia) - Ming-Hsuan Yang (University of California at Merced and Google, US) - Majed El Helou, Ruofan Zhou (EPFL, Switzerland) - Kyoung Mu Lee, Seungjun Nah, Sanghyun Son, Jaerin Lee (Seoul National University, Korea) - Eli Shechtman (Adobe Research, US) - Evangelos Ntavelis, Siavash Bigdeli (CSEM, Switzerland) - Liang Lin, Weipeng Xu (Sun Yat-Sen University, China) - Ming-Yu Liu (NVIDIA, US) - Roey Mechrez (BeyondMinds and Technion, Israel) CONTACT Email: radu.timofte at vision.ee.ethz.ch Website: https://data.vision.ee.ethz.ch/cvl/aim20/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mohsen.jafarzade at gmail.com Thu Jul 2 00:00:03 2020 From: mohsen.jafarzade at gmail.com (Mohsen Jafarzadeh) Date: Wed, 1 Jul 2020 22:00:03 -0600 Subject: Connectionists: Transdisciplinary Artificial Intelligence (TransAI) 2020 conference Message-ID: Transdisciplinary Artificial Intelligence (TransAI) 2020 conference https://www.transai.org The paper submission deadline is extended to July 24, 2020. The conference will be held in California (September 21-23) with a hybrid mode. You may join the conference in person or online. Details: Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems even above the level of human beings. On the one hand it allows data to be analyzed by real-time models that enable unprecedented levels of accuracy and efficiency. On the other hand it enables domain specific problem solving and knowledge discovery that cannot be easily done by humans. Transdisciplinary AI 2020 (TransAI 2020), technically sponsored by the IEEE Computer Society, is an international forum focusing on the interactions between artificial intelligence (AI) and other research disciplines. It consists of themes that each addresses the applications of AI to a specific research discipline as well as how domain specific applications may advance the research on AI. The TransAI themes academic research including, but are not limited to, the following: * Artificial Intelligence * Robotics * Human-Robot Interaction * Multi Agent Systems * Intelligent Transportation System * Autonomous Driving * Automatic Speech Recognition * Speech Synthesis * Computer Vision * Planning * Perception * Reasoning * knowledge Representation * Machine Learning * Statistical Learning * Deep Learning * Reinforcement Learning * AI and education * AI and humanities * AI and medicine * AI and agriculture * AI and sciences * AI and engineering * AI and law * AI and business The conference proceedings will be submitted to the IEEE Xplore? and/or IEEE Computer Society Press digital library. Distinguished quality papers presented at the conference will be selected for the best paper/poster awards and for publication in internationally renowned journals (SCI, EI, and/or Scopus indexed). -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Thu Jul 2 04:10:30 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Thu, 2 Jul 2020 10:10:30 +0200 Subject: Connectionists: [CfP] PLP-2020: The Seventh Workshop on Probabilistic Logic Programming Message-ID: <4346c0cb-0b3d-f9d4-c2a4-c1fd84eb9547@uniss.it> PLP-2020: The Seventh Workshop on Probabilistic Logic Programming ---------------------------------------------------------------- A workshop of 36th International Conference on Logic Programming September 18-24, 2020, virtual conference http://stoics.org.uk/plp/plp2020/ Deadline for submissions: Aug, 1st 2020 **** COVID-19: Due to the ongoing pandemic, the workshop will be held online. **** Overview ----- Probabilistic logic programming (PLP) approaches have received much attention in this century. They address the need to reason about relational domains under uncertainty arising in a variety of application domains, such as bioinformatics, the semantic web, robotics, and many more. Developments in PLP include new languages that combine logic programming with probability theory, as well as algorithms that operate over programs in these formalisms. The workshop encompasses all aspects of combining logic, algorithms, programming and probability. PLP is part of a wider current interest in probabilistic programming. By promoting probabilities as explicit programming constructs, inference, parameter estimation and learning algorithms can be ran over programs which represent highly structured probability spaces. Due to logic programming's strong theoretical underpinnings, PLP is one of the more disciplined areas of probabilistic programming. It builds upon and benefits from the large body of existing work in logic programming, both in semantics and implementation, but also presents new challenges to the field. PLP reasoning often requires the evaluation of large number of possible states before any answers can be produced thus braking the sequential search model of traditional logic programs. While PLP has already contributed a number of formalisms, systems and well understood and established results in: parameter estimation, tabling, marginal probabilities and Bayesian learning, many questions remain open in this exciting, expanding field in the intersection of AI, machine learning and statistics. This workshop provides a forum for the exchange of ideas, presentation of results and preliminary work, in the following areas * probabilistic logic programming formalisms * parameter estimation * statistical inference * implementations * structure learning * reasoning with uncertainty * constraint store approaches * stochastic and randomised algorithms * probabilistic knowledge representation and reasoning * constraints in statistical inference * applications, such as * * bioinformatics * * semantic web * * robotics * probabilistic graphical models * Bayesian learning * tabling for learning and stochastic inference * MCMC * stochastic search * labelled logic programs * integration of statistical software The above list should be interpreted broadly and is by no means exhaustive. Purpose ----- After six successful editions of this workshop at ICLP 2014 in Vienna, ICLP 2015 in Cork and ILP 2016 in London, at ILP 2017 in Orl?ans, at ILP 2018 in Ferrara, at ICLP 2019 in Las Cruces, PLP will be online this year and will be co-located with ICLP 2020. We hope that this encourages further collaboration between researchers in PLP and researchers working in other areas of ICLP. Submissions ----- Submissions will be managed via EasyChair(https://easychair.org/conferences/?conf=plp2020). Contributions should be prepared in the LNCS style. A mixture of papers are sought including: new results, work in progress as well as technical summaries of recent substantial contributions. Papers presenting new results should be 6-15 pages in length. Work in progress and technical summaries can be shorter (2-5 pages). The workshop proceedings will clearly indicate the type of each paper. At least one author of each accepted paper will be required to attend the workshop to present the contribution. Publication ----- Informal proceedings will be made available electronically to attendees. They will also be for stored permanently in the form on CEUR Workshop Proceedings (http://ceur-ws.org/) or arXiv (https://arxiv.org). The proceedings will consist of clearly marked sections corresponding to the different types of submissions accepted. Deadlines ----- Papers due: Aug, 1st 2020 Notification to authors: Sep, 1st 2020 Camera ready version due: Sep, 10th 2020 Workshop date: September 18-24, 2020 (the deadline for all dates is AOE) Invited Speaker(s) ----- To be confirmed. Organising Committee ----- Carmine Dodaro (University of Calabria, Italy) [co-chair] (dodaro at mat.unical.it) George Aristidis Elder (Queen Mary University of London, UK) [co-chair] (g.a.elder at qmul.ac.uk) Program Committee ----- To be confirmed. -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Thu Jul 2 13:45:56 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Thu, 2 Jul 2020 18:45:56 +0100 Subject: Connectionists: [held online] Summer School on Machine Learning and Big Data with Quantum Computing, 7-8 September 2020 Message-ID: <0a8d9d59-90b2-3821-791d-9f22f95309de@isep.ipp.pt> Summer School on Machine Learning and Big Data with Quantum Computing (SMBQ 2020) Porto, Portugal, September 7-8, 2020 Web page: https://smbq2020.dcc.fc.up.pt/ ##################################### Machine Learning (ML) is an Artificial Intelligence (AI) branch, that focuses on developing algorithms to teach how computers learn from data to make decisions or predictions. Deep Learning (DL) is part of a broader family of ML algorithms, that is based on artificial neural networks. Arguably, DL techniques demand for big amounts of data and, as such, they require huge computational resources and advanced processing techniques. Cloud Computing is a well-known alternative to deal with big amounts of data, since its elasticity allows for an efficient scalability of huge computational resources, such as, data storage and processing power. On the other hand, Quantum Computing is an advanced processing technique, that uses the fundamentals of quantum mechanics to accelerate the process of solving highly complex problems. SMBQ 2020 addresses the current trends in AI and in the computational techniques that deal with big data demands, together with, a powerful processing technique that will shape the future of computation. During 2 days, from 7-8 September 2020, we will introduce concepts, discuss the current trends and provide direct practical experience in hands-on lessons. ##################################### Registration: Attendance is free, but it is required that participants register in advance by filling a form until 15 August, 2020. Prior to the event, information regarding the access of the live sessions will be sent to all registrants via email. https://smbq2020.dcc.fc.up.pt/#registration The number of participants is limited, thus the registration process closes once the limit is reached. For any further information, please send a message to SMBQ2020. ##################################### Contact Persons: Carlos Ferreira, Polytechnic Institute of Porto, LIAAD - INESC TEC, E-mail: cgf at isep.ipp.pt Miguel Areias, University of Porto, CRACS - INESC TEC, E-mail: miguel-areias at dcc.fc.up.pt Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From hocine.cherifi at gmail.com Thu Jul 2 08:39:08 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 2 Jul 2020 14:39:08 +0200 Subject: Connectionists: Applied Network Science Special Issue on EPIDEMICS DYNAMICS & CONTROL ON NETWORKS Message-ID: *Applied Network Science Special Issue on* *EPIDEMICS DYNAMICS & CONTROL ON NETWORKS* https://appliednetsci.springeropen.com/call-for-papers Networks are ubiquitous in natural, technological and social systems. They offer a fertile framework for understanding and controlling the diffusion of ideas, rumors, and infectious diseases of plants, animals, and humans. Despite recent advances, many challenging scientific questions remain about the correct tools and their practical role in epidemics dynamics and effective strategies supporting public health decision making. The goal of this special issue is to offer a platform to the interdisciplinary community of scientists working on the diffusion process on networks and its plethora of applications. We hope for a broad range of topics to be covered, across theory, methodology, and application to empirical data with a special emphasis on epidemic spreading. Survey and review papers are welcome. *Important dates* Expression of interest and abstract submission: July 10, 2020 Abstract feedback notification: July 13, 2020 Paper submission deadline: September 21, 2020 Target publication: November 01, 2020 *Papers are published upon acceptance, regardless of the Special Issue publication date**.* *Submission Instructions * We invite authors to submit a brief expression of interest containing a short outline or extended abstract (approx. 1000 words), including the topic, key concepts, methods, expected results, and conclusions. Abstracts should be submitted via easy chair to ANSEDC20 (Applied Network Science: Special Issue on Epidemics Dynamics & Control on networks) at the address: https://easychair.org/conferences/?conf=ansepidemics20 They will be reviewed to determine if the submission is in the scope of this special issue. Authors with accepted abstracts will be invited to submit their papers through the journal submission system for a full review and publication. The Lead guest editor Matja? Perc matjaz.perc at gmail.com *University of Maribor, Slovenia* The Guest editors Benjamin M. Althouse bma85 at uw.edu *University of Washington, USA* Hocine Cherifi hocine.cherifi at u-bourgogne.fr *University of Burgundy, France* Joel C Miller joel.c.miller.research at gmail.com *La Trobe University, Australia* Chiara Poletto chiara.poletto at inserm.fr *Inserm, France* Giulio Rosseti giulio.rossetti at isti.cnr.it *University of Pisa, Italy* Onur Varol ovarol at northeastern.edu *Northeastern University, USA* *Join us at *: COMPLEX NETWORKS 2020 Madrid Spain *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From Sofia.Delafuente at ed.ac.uk Thu Jul 2 12:55:16 2020 From: Sofia.Delafuente at ed.ac.uk (DE LA FUENTE GARCIA Sofia) Date: Thu, 2 Jul 2020 16:55:16 +0000 Subject: Connectionists: Our Voice and Psychology in the Time of COVID-19 In-Reply-To: <14C9BFD1-BD0D-4B0C-8E9F-5F48395C8603@ed.ac.uk> References: <14C9BFD1-BD0D-4B0C-8E9F-5F48395C8603@ed.ac.uk> Message-ID: Dear CONNECTIONISTS, Numerous research projects are underway in order to unravel some of the uncertainty around our current situation. I would like to draw your attention to the study below, with special mention to those interested in the conjunction of speech/natural language processing and psychology research. Please feel free to share away! [cid:image001.png at 01D65099.F1492790] Would you like to help scientific Research? We are a group of researchers from the University of Edinburgh (Usher Institute, Edinburgh Medical School) working on a project related to psychology, mental health, voice technology and COVID-19. Our project, PsyVoiD, investigates the emotional and behavioural consequences that may be derived from the pandemic and lockdown. PsyVoiD also seeks to investigate the role of our personality traits in this scenario, and the relationship between these elements and the subtleties in our voice. How do you feel about your current situation? If you do wish to help* us carry on with this exciting project, there are two ways in which you may do so: 1) 1 minute: please feel free to share this study with everyone you know! 2) 30 minutes: to participate as a volunteer please follow this link (or paste this in your browser: https://bit.ly/3eCRv9k) * Please note that you must be over 18 years old to take part in this study. Your contribution is immensely valuable THANK YOU [cidimage001.png at 01D64FDB.8E793AB0] 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: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 63883 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 28552 bytes Desc: image002.png URL: From hal3 at umd.edu Thu Jul 2 11:42:10 2020 From: hal3 at umd.edu (Hal Daume) Date: Thu, 2 Jul 2020 11:42:10 -0400 Subject: Connectionists: ICML 2020 Call for Virtual Rooms & Socials and Mentoring sessions In-Reply-To: References: Message-ID: The International Conference on Machine Learning (ICML2020) is soliciting proposals for Virtual Rooms & Socials and Mentoring sessions! Over the last few years ML&AI conferences have expanded their programs to including daily events which serve a variety of useful roles including: > breaking down barriers: allowing junior researchers and new people a > chance to meet others and grow their social and professional network > advice and mentoring: gain scientific and career advice from senior > researchers > mini-events and topic meetings: exchange ideas on topics (societal, > scientific, and academic) not well represented in the main program > skills exchange and training: e.g., learning about presentations, > experiments, ... > scientific debate and breakout discussions: on all issues related to AI > and ML > a relaxed forum to socialize and unwind with a like-minded people after a > long day of conferencing > Now more than ever we have to make an effort as a community to stay connected. The Socials occurring at ML conferences over the last couple years have been a major breakthrough in achieving some of the goals listed above. The Mentoring sessions at the first virtual ICLR was a huge success. This year, we won?t have a physical ICML. You won?t bump into people at posters, talks, and food stands. It?s entirely possible one could attend all of ICML and not engage in a single face-to-face conversation with another attendee. You can help. Organize a social---it?s easy! Volunteer your time for a mentoring session--- it?s even easier! Socials: If you have an idea let us know. The process is simple, you need a > title, two organizers, and a short description of your event - form for > socials > > . > Mentoring sessions: If you are willing to volunteer your time for a > mentoring session let us know. The process is very simple - please let us > know your name, affiliation and time you?re available - form for > mentoring sessions > > . > We will keep this call open until Sunday July 5th. Additional details can be found in the https://icml.cc/Conferences/2020/CallForSocials. We look forward to socializing with you at ICML2020! Adam White and Olga Isupova ICML Social Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From claudio.piciarelli at uniud.it Thu Jul 2 04:45:09 2020 From: claudio.piciarelli at uniud.it (Claudio Piciarelli) Date: Thu, 2 Jul 2020 08:45:09 +0000 Subject: Connectionists: CFP - Remote Sensing - Special Issue on Computer Vision and Deep Learning for Remote Sensing Applications Message-ID: (apologies for multiple copies) =================================================================== CALL FOR PAPERS * Special Issue on Computer Vision and Deep Learning for Remote Sensing Applications * Journal: Remote Sensing (MDPI), IF 4.118 Guest Editors: Hyungtae Lee, Sungmin Eum, Claudio Piciarelli Full info: http://mdpi.com/si/46402 Deadline: accepted papers will be published continuously (as soon as accepted) till the deadline (31 March 2021) =================================================================== Abstract: Today, the field of computer vision and deep learning is rapidly progressing into many applications, including remote sensing, due to its remarkable performance. Especially for remote sensing, a myriad of challenges due to difficult data acquisition and annotation have not been fully solved yet. The remote sensing community is waiting for a breakthrough to address these challenges by utilizing high-performance deep learning-based models that typically require large-scale annotated datasets. This issue is looking for such breakthroughs focusing on the advances in remote sensing using computer vision, deep learning and artificial intelligence. Although broad in scope, contributions with a specific focus are expected. For this special issue, we welcome the most recent advancements related, but not limited to: * Deep learning architecture for remote sensing * Machine learning for remote sensing * Computer vision method for remote sensing * Classification / Detection / Regression * Unsupervised feature learning for remote sensing * Domain adaptation and transfer learning with computer vision and deep learning for remote sensing * Anomaly/novelty detection for remote sensing * New dataset and task for remote sensing * Remote sensing data analysis * New remote sensing application * Synthetic remote sensing data generation * Real-time remote sensing * Deep learning-based image registration Dr. Hyungtae Lee Dr. Sungmin Eum Dr. Claudio Piciarelli Guest Editors -------------- next part -------------- An HTML attachment was scrubbed... URL: From bruno.colas at icm-institute.org Fri Jul 3 06:03:51 2020 From: bruno.colas at icm-institute.org (COLAS Bruno) Date: Fri, 3 Jul 2020 10:03:51 +0000 Subject: Connectionists: Engineer or PhD position for student with experience in Machine Learning and Big Data Quantum Computing Message-ID: Dear all, We are coordinating the international training network (ITN) ZENITH for PhD and engineers who would like to apply their expertise to neuroscience (https://zenith-etn.com). We are looking to hire an Engineer or PhD candidate to enroll in the ZENITH programme holding a master in Machine Learning and Big Data Quantum Computing applied to neuronal networks in neuroscience (see ad attached). We are investigating the algorithm used by zebrafish larvae performing chemotaxis and analysing the causal links with activity of neuronal networks recruited during this computation. The 3 years position (starting in the fall 2020) is in the Paris Brain Institute in collaboration with labs throughout Europe (https://zenith-etn.com/partners), very well funded and with a special package for training and attending schools and workshops. The applicant will need to demonstrate autonomy in machine learning, data processing and curiosity for questions of neuroscience. Thank you very much Best regards ____________________________ Bruno Colas Charg? de projet europ?en ITN - ZENITH ITN European project manager - ZENITH Wyart Lab Institut du Cerveau - ICM 47, bd de l'H?pital - CS 21414 - 75646 Paris Cedex 13 T?l. + 33 (0)1 57 27 40 93 www.icm-institute.org [cid:image001.png at 01D26A6A.660E5A60][logo-360x360] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: Wyart_PhD_Data_Scientist_AcquisitionSystem_Modelling_V2.pdf Type: application/pdf Size: 60516 bytes Desc: Wyart_PhD_Data_Scientist_AcquisitionSystem_Modelling_V2.pdf URL: From nicholas.cummins at ieee.org Fri Jul 3 06:50:14 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Fri, 3 Jul 2020 12:50:14 +0200 Subject: Connectionists: ICMI 2020: Last Call for Demonstrations and Exhibits Message-ID: ******************************************************* ICMI 2020: Last Call for Demonstrations and Exhibits http://icmi.acm.org/2020/index.php?id=cfd 25-29 Oct 2020, Utrecht, The Netherlands ******************************************************* ICMI2020 will be held as a virtual conference or partially virtual conference. =============================== 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 huiyu_kang at fudan.edu.cn Fri Jul 3 07:14:11 2020 From: huiyu_kang at fudan.edu.cn (=?utf-8?Q?huiyu=5Fkang?=) Date: Fri, 3 Jul 2020 19:14:11 +0800 Subject: Connectionists: =?utf-8?q?Online_Journal_Club=2C_International_Co?= =?utf-8?q?nference_on_Translational__Research_in_Brain_Stimulation?= Message-ID: <238765D7-46C5-42B4-A6BC-CE93957496C3@fudan.edu.cn> An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: E14D4181-0DE8-4AF1-8C9B-ECA19E2C9CA7.png Type: image/png Size: 1107647 bytes Desc: not available URL: From boubchir at ai.univ-paris8.fr Fri Jul 3 08:20:31 2020 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Fri, 3 Jul 2020 14:20:31 +0200 Subject: Connectionists: CFP: Special Issue on "Advanced Machine Learning Algorithms for Biometrics and Its Applications" In-Reply-To: <02849b02-5aab-e7d1-2ebd-2d09a6a92ed3@ai.univ-paris8.fr> References: <5cecfa3f-de70-96c0-502d-69d6953a0698@ai.univ-paris8.fr> <02849b02-5aab-e7d1-2ebd-2d09a6a92ed3@ai.univ-paris8.fr> Message-ID: <8ce60aca-78a3-4e51-2331-24fb02a4d153@ai.univ-paris8.fr> *Special Issue on "Advanced Machine Learning Algorithms for Biometrics and Its Applications"* Journal: *Applied Sciences* (ISSN 2076-3417). Deadline for manuscript submissions: *31 December 2020*. URL:https://www.mdpi.com/journal/applsci/special_issues/Machine_Learning_Biometrics Flyer: https://www.mdpi.com/journal/applsci/special_issue_flyer_pdf/Machine_Learning_Biometrics/web Dear colleagues, Biometrics has become a burgeoning research area due to the industrial and government needs for recognition and security concerns. It has also become a center of focus for many applications, such as identity authentication and identification in civil and forensic fields. Recently, advanced machine learning has received a great deal of attention in solving difficult and complex problems related to biometric recognition and security, where conventional machine learning techniques have shown their limitations. This Special Issue aims to solicit original research papers, as well as review articles focusing on biometrics and its applications based on advanced machine learning algorithms. We are inviting original research works covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in the biometrics domain. Topics of interest include but are not limited to the following: ??? - Biometrics-based authentication and identification; ??? - Physiological and behavioral biometrics (e.g., finger, palm, face, eye, ear, iris, retina, vein, gait, handwriting, voice); ??? - Biometric feature extraction and matching; ??? - Signal, image, and video processing in biometrics; ??? - Advanced pattern recognition in biometrics; ??? - Machine learning and deep learning in biometrics; ??? - Artificial intelligence in biometrics; ??? - Fusion techniques in biometrics; ??? - Soft biometrics; ??? - Multimodal biometrics; ??? - Security and privacy in biometrics; ??? - Big data challenges in biometrics; ??? - Embedded biometric systems; ??? - Emerging biometrics; ??? - Related applications. Assoc. Prof. Dr. Larbi Boubchir Prof. Dr. Elhadj Benkhelifa Prof. Dr. Boubaker Daachi Guest Editors *Manuscript Submission Information* Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. *Special Issue Editors:* Assoc. Prof. Dr. Larbi Boubchir (larbi.boubchir at ai.univ-paris8.fr) Guest Editor LIASD research Lab. ? University of Paris 8, 2 Rue de la Libert?, 93526 Saint-Denis, France Interests: biomedical signal processing; EEG; image processing; machine learning; brain?computer interface; biometrics Prof. Dr. Elhadj Benkhelifa (E.Benkhelifa at staffs.ac.uk) Guest Editor Cloud Computing and Applications Research Lab, School of Computing and Digital Technologies, Staffordshire University, Stoke-on-Trent ST4 2DE, UK Interests: cloud computing; cybersecurity; software engineering; software defined systems; cloud forensics; IoT; data governance Prof. Dr. Boubaker Daachi (bd at ai.univ-paris8.fr) Guest Editor LIASD research Lab. ? University of Paris 8, 2 Rue de la Libert?, 93526 Saint-Denis, France Interests: robotics; soft computing; BCI; WSN; biometrics -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Fri Jul 3 08:41:27 2020 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Fri, 3 Jul 2020 14:41:27 +0200 Subject: Connectionists: CFP: Special Issue on "Machine Learning for EEG Signal Processing" In-Reply-To: <8ce60aca-78a3-4e51-2331-24fb02a4d153@ai.univ-paris8.fr> References: <5cecfa3f-de70-96c0-502d-69d6953a0698@ai.univ-paris8.fr> <02849b02-5aab-e7d1-2ebd-2d09a6a92ed3@ai.univ-paris8.fr> <8ce60aca-78a3-4e51-2331-24fb02a4d153@ai.univ-paris8.fr> Message-ID: <1199830f-aa01-f78b-c02d-04f476f45a74@ai.univ-paris8.fr> --------------------------------------------------- Apologies for multiple posting. Please distribute this call to interested parties. --------------------------------------------------- *Special Issue on "Machine Learning for EEG Signal Processing"* Journal: *Computers *(ISSN 2073-431X). Deadline for manuscript submissions: *15 September 2020*. URL:https://www.mdpi.com/journal/computers/special_issues/MLESP_2018 Flyer: https://www.mdpi.com/journal/computers/special_issue_flyer_pdf/MLESP_2018/web -------------- next part -------------- An HTML attachment was scrubbed... URL: From bariscancam at gmail.com Fri Jul 3 13:48:10 2020 From: bariscancam at gmail.com (Baris Can Cam) Date: Fri, 3 Jul 2020 20:48:10 +0300 Subject: Connectionists: Deadlines Updated: ECCV2020 Workshop on Imbalance Problems in Computer Vision (IPCV) Message-ID: Deadlines for the IPCV workshop at ECCV 2020 are updated. You can find the details below. **ECCV Workshop on Imbalance Problems in Computer Vision (IPCV)** 28 August 2020, Glasgow https://sites.google.com/view/ipcv2020/ **Dates:** Paper submission: 12 July 2020. 7 July 2020. Notification: 10 August 2020. 28 July 2020. Camera ready: 17 August 2020. 7 August 2020. Video Uploads: 21 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 lpandolfo at uniss.it Fri Jul 3 11:06:59 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Fri, 3 Jul 2020 17:06:59 +0200 Subject: Connectionists: [CfP] EELP 2020 - The Second Workshop on Epistemic Extensions of Logic Programming Message-ID: <6c0fa141-f478-6b37-58ea-1f99ef3ec75c@uniss.it> ============================================================================== CALL FOR PAPERS EELP 2020 The Second Workshop on Epistemic Extensions of Logic Programming September 18-24, 2020 Rende, Italy https://www.semsys.aau.at/events/eelp2020/ ============================================================================== AFFILIATION This workshop is part of the International Conference of Logic Programming (ICLP) 2020. In keeping with the main conference, the workshop will be held as a fully virtual event this year. AIMS AND SCOPE Several successful logic programming languages, evidenced by the availability of a multitude of solvers, industrial applications, and an active research community, have been proposed in the literature. Researchers have long recognized the need for epistemic operators in these languages. This led to a flurry of research on this topic, and renewed interest in recent years. A central question is that of the definition of a rigorous and intuitive semantics for such epistemic operators, which is still subject of ongoing research. Notions of equivalence, structural properties, and the inter-relationships between logic programming languages and established logics are all subjects being actively investigated. Another important topic is that of practical solvers to compute answers to logic programs that contain epistemic operators. Several solvers are actively developed, building on established solvers, or using rewriting-based approaches. For practical applications, additional language features are actively explored in order to be able to apply epistemic extensions of logic programming langauges to practical problems. The goal of this workshop is to facilitate discussions regarding these topics and a productive exchange of ideas. Topics of interests include (but are not limited to): - Semantics of epistemic operators in logic programming - New methods for solving epistemic extensions of logic programs - Computational properties of epistemic extensions of logic programs - Relating epistemic extensions of logic programs with other logic-based formalisms - Practical applications of logic programming extended with epistemic extensions - Additional language features - Multi-paradigm problem solving involving epistemic extensions of logic programming - Evaluation and comparison of logic programs with epistemic extensions to other paradigms - Grounding of non-ground logic programs programs with epistemic extensions SUBMISSION GUIDELINES We welcome two categories of submissions: - Full Papers, that is, original, unpublished research (at most 15 pages), and - Extended Abstracts of already published research (at most 2 pages). All submissions should be in the Springer LNCS format. Paper submission will be handled electronically by means of the Easychair system. All submissions will be peer-reviewed. The submission page is available here: http://www.easychair.org/conferences/?conf=eelp2020. EELP is a non-archival venue and there will be no published proceedings. However, informal proceedings will be provided and the papers will be posted informally on the workshop website. Submissions to other conferences and journals both in parallel and subsequent to EELP 2020 are allowed. IMPORTANT DATES Paper submission: August 7, 2020 AoE Notification: August 31, 2020 Camera-ready: September 11, 2020 Workshop Dates: September 18-24, 2020, as a workshop of ICLP 2020 ORGANIZERS AND CO-CHAIRS Wolfgang Faber, University of Klagenfurt Jorge Fandinno, University of Potsdam Michael Morak, University of Klagenfurt CONTACT Please direct any questions to eelp2020 at easychair.org. -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From tommasi.t at gmail.com Fri Jul 3 13:54:22 2020 From: tommasi.t at gmail.com (Tatiana Tommasi) Date: Fri, 3 Jul 2020 19:54:22 +0200 Subject: Connectionists: 2nd CFP - ECCV Workshop on Transferring and Adapting Source Knowledge in Computer Vision & VisDA Challenge Message-ID: *7th Workshop on Transferring and Adapting Source Knowledge in Computer Vision & 4th VisDA Challenge* In conjunction with European Conference on Computer Vision (ECCV) 2020 23 August 2020 Workshop website: https://sites.google.com/view/task-cv2020/home VisDA challenge website: http://ai.bu.edu/visda-2020/ ****************************** *CALL FOR PAPERS* This is the 7th annual workshop that brings together computer vision researchers interested in domain adaptation and knowledge transfer techniques. A key ingredient of the recent successes of computer vision methods is the availability of large sets of annotated data. However, collecting them is prohibitive in many real applications and it is natural to search for an alternative source of knowledge that needs to be transferred or adapted to provide sufficient learning support. Our workshop aims to bring together researchers in various sub-areas of Transfer Learning (TL) and Domain Adaptation (DA) for computer vision. *Check the website to see the amazing list of speakers of this year!* https://sites.google.com/view/task-cv2020/invited-speakers ****************************** *TOPICS* ? TL/DA learning methods for challenging paradigms like unsupervised, incremental, open set, universal, online and federated learning ? TL/DA CNN architectures with new adaptation techniques, fine-tuning strategies, regularization approaches, weights transfer solutions etc. ? TL/DA focusing on specific computer vision tasks (e.g., image classification, object detection, semantic segmentation, retrieval, tracking, etc.) and applications (biomedical, robotics, multimedia, autonomous driving, etc.) ? TL/DA methods working at feature and pixel (generative) level as well as jointly applied with other learning paradigms such as reinforcement learning ? DA in case of sensor differences (e.g., low-vs-high resolution, power spectrum sensitivity, different RGB/Depth modalities) and compression schemes ? Datasets and protocols for evaluating TL/DA methods ? Going beyond TL/DA towards Domain Generalization (DG) ? Multi-Task, Zero- One- and Few-Shot Learning This is not a closed list, we welcome other interesting and relevant research for TASK-CV. ****************************** *NEW!* IMPORTANT DATES ***EXTENDED** Submission deadline: July 23rd, 2020* Supplementary material deadline: July 30th, 2020 Author notification: August 13th, 2020 Video submission deadline: August 15th, 2020 Camera-ready: September 13th, 2020 *NEW!* PAPER FORMAT - short papers: these contributions will consist in Extended Abstracts of 4 pages (including references). They may share contents with papers accepted at ECCV or under review for any other conference. - long papers: these contributions will consist of papers of the same format of ECCV submissions: maximum 14 pages (excluding references). They should be original works, not sharing content with papers under review. *NEW!* VIDEO SUPPLEMENTARY MATERIAL The authors are highly encouraged to submit in their supplementary material a 5 min pre-recorded oral presentation. The spotlight will be included in the workshop upon acceptance. Note that all the accepted papers will need a video, so a second call for spotlights will come after author notification, but with a short deadline (August 15th). As tradition we will have a best paper award supported by our sponsor Naver Labs Europe. ****************************** *VISDA-2020 CHALLENGE* This year the VisDA Challenge brings on board a new task, domain adaptive pedestrian re-identification. More challenging and practical settings are set, characterized by a synthetic-to-real domain adaptation procedure. ? Registration started: April 1st, 2020 ? Training data released: May 1st, 2020 ? Testing data released: June 25st, 2020 ? Final submission: July 25th, 2020, 11:59am EDT / 3:59pm UTC ? Winners notification: August, 2020 ****************************** *WORKSHOP ORGANIZERS*: Tatiana Tommasi (Politecnico di Torino, Italy) Antonio M. Lopez (CVC & UAB, Spain) David Vazquez (Element AI, Canada) Gabriela Csurka (Naver Labs Europe, France) VISDA CHALLENGE ORGANIZERS: Kate Saenko (Boston University, USA) Liang Zheng (Australian National University, Australia) Xingchao Peng (Boston University, USA) Weijian Deng (Australian National University, Australia) -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Mon Jul 6 05:16:45 2020 From: suashdeb at gmail.com (Suash Deb) Date: Mon, 6 Jul 2020 14:46:45 +0530 Subject: Connectionists: Virtual conference, ISCMI 2020 (Stockholm) Message-ID: Dear Colleauges, This is to share with you that lSCMl20 (Stockholm), technically co sponsored by lEEE Sweden Section, IEEE Computational Intelligence society etc. had been converted to a full fledged virtual conference on the same date(s). For formal announcement, pls. visit the conference web site http://iscmi.us/ Thanks & rgds, Suash -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Mon Jul 6 05:57:48 2020 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Mon, 6 Jul 2020 11:57:48 +0200 Subject: Connectionists: Final CFP CANTEMIST shared task: Cancer named entity recognition (IberLEF/SEPLN2020) In-Reply-To: References: Message-ID: **** Final CFP Cantemist: CANcer TExt Mining Shared Task (IberLEF - SEPLN 2020) **** *Named Entity Recognition of Tumor Morphology Mentions and ICD-O-3 coding track at SEPLN 2020* *https://temu.bsc.es/cantemist/ * Plan TL Award for the Cantemist Track winners We are organizing the first shared task specifically focusing on named entity recognition of a critical type of concept related to cancer, namely *tumor morphology*. *The Cantemist sub-tracks:* *CANTEMIST-NER*: finding mentions of tumor morphology in clinical case documents. *CANTEMIST-NORM:* tumor morphology mention recognition and mapping to concept identifiers from ICD-O-3. *CANTEMIST-CODING: *clinical coding (multi-label classification) assigning ICD-O-3 codes to clinical case documents. *Key information* Cantemist web: *https://temu.bsc.es/cantemist/ * Datasets: https://zenodo.org/record/3929739 Registration: *https://temu.bsc.es/cantemist/?p=3956 * *Task motivation* There is a pressing need to apply NLP to process clinical texts to unlock critical information that enables better clinical decision-making. *Understanding diseases requires the extraction of key entities like diseases, treatments or symptoms* from textual data. This has become clear from the recent COVID-19 (SARS-CoV-2, coronavirus disease) pandemic, which showed the current struggle in processing clinical documents. Results of systems capable of automatically processing clinical texts are of interest for the medical user community, researchers, the pharmaceutical industry as well as patients. Due to the special relevance of cancer as one of the leading causes of death and the growing healthcare expenditures for oncological treatments, the CANTEMIST track tries to promote the development of cancer-relevant NER resources. *Important dates* June, 5: Train set and guidelines release June, 12: First development set release July, 3: Test and Background set release Aug, 3: End of the evaluation period Aug, 14: Paper submission Sep 1: Camera-ready paper submission Sep 23-25: SEPLN 2020 Conference *Publications and workshop* There will be an *online evaluation workshop at IberLEF/SEPLN 2020* where participating teams can present their systems and results. Moreover, participating teams will be invited to submit their system description papers for publication at the *SEPLN 2020 Working Notes proceedings*. *Cantemist awards* We will grant 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). *Organizers* - *Martin Krallinger*, Text Mining Unit, Barcelona Supercomputing Center, Spain - *Antonio Miranda*, Text Mining Unit, Barcelona Supercomputing Center, Spain - *Eul?lia Farr?*, Text Mining Unit, Barcelona Supercomputing Center, Spain - *Jose Antonio Lopez-Martin*, Medical Oncology, Hospital Universitario 12 de Octubre; Instituto de Investigaci?n Hospital 12 de Octubre (i+12), Spain *Scientific Committee* - *Kirk Roberts*, School of Biomedical Informatics, University of Texas Health Science Center, USA - *Parminder Bhatia*, Amazon Health AI, USA - *Irene Spasic*, School of Computer Science & Informatics, co-Director of the Data Innovation Research Institute, Cardiff University, UK - *Tristan Naumann*, Microsoft Research Healthcare NExT, USA - *Carlos Luis Parra Calder?n*, Head of Technological Innovation, Virgen del Roc?o University Hospital, Institute of Biomedicine of Seville, Spain - *Ashish Tendulkar*, Google Research - *Alfonso Valencia Herrera*, Barcelona Supercomputing Center (BSC-CNS), Spain - *Hercules Dalianis*, Department of Computer and Systems Sciences, Stockholm University, Sweden - *Kevin Bretonnel Cohen*, Colorado School of Medicine, USA; LIMSI, CNRS, Universit? Paris-Saclay, France - *Karin Verspoor*, School of Computing and Information Systems, Health and Biomedical Informatics Centre, University of Melbourne, Australia - *Aur?lie N?v?ol*, LIMSI-CNRS, Universit? Paris-Sud, France - *Goran Nenadic*, Department of Computer Science, University of Manchester - *Antonio Martinez*, Head Pathology, Director National EQAS GCP, Spanish Society of Pathology, SEAP-IAP - *Zhiyong Lu*, Deputy Director for Literature Search, National Center for Biotechnology Information (NCBI) - *Ashish Tendulkar*, Machine Learning Architect, Google -------------- next part -------------- An HTML attachment was scrubbed... URL: From Darren.Hurley-Smith at rhul.ac.uk Mon Jul 6 10:04:31 2020 From: Darren.Hurley-Smith at rhul.ac.uk (Hurley-Smith, Darren) Date: Mon, 6 Jul 2020 14:04:31 +0000 Subject: Connectionists: [CfP] ~DEADLINE EXTENDED~ Security and Trust Management 2020 Call for Papers In-Reply-To: References: , , Message-ID: Today is the deadline for STM2020 submissions, but you still have time! The deadline is 11:59PM American Samoa Time, 6th July 2020. We look forwards to receiving your submissions. COVID-19 UPDATE After assessment of the COVID-19 Pandemic, the ESORICS 2020 Organizing Committee has made the decision to move the conference and all associated workshops to an online format. Arrangements for the virtual format are being made and we will post updates as they are announced. This new format will not affect our proceedings, which will be published as Springer LNCS proceedings. =========================================================================== STM 2020 The 16th International Workshop on Security and Trust Management Co-located with: ESORICS 2020 September 17-18, 2020, University of Surrey, Guildford, UK ***Due to COVID-19 this is now a Virtual Event*** https://www.iit.cnr.it/stm2020/ =========================================================================== SCOPE STM (Security and Trust Management) is a working group of ERCIM (European Research Consortium in Informatics and Mathematics). STM 2020 is the sixteenth workshop in this series and will be held at the University of Surrey, Guildford, UK, in conjunction with the 25th European Symposium On Research in Computer Security (ESORICS 2020). The workshop seeks submissions from academia, industry, and government presenting novel research on all theoretical and practical aspects of security and trust in ICTs. TOPICS OF INTEREST * Access control * Anonymity * Applied cryptography * Authentication * Data and application security * Data protection * Data/system integrity * Digital rights management * Economics of security and privacy * Formal methods for security and trust * Identity management * Legal and ethical issues * Mobile security * Networked systems security * Operating systems security * Privacy * Security and trust metrics * Security and trust policies * Security and trust management architectures * Security and trust for big data * Security and trust in cloud environments * Security and trust in content delivery networks * Security and trust in crowdsourcing * Security and trust in social networks * Security and trust in the Internet of Things * Security and trust in pervasive computing * Security and trust in services * Security and trust in edge computing * Security and trust in embedded systems and associated applications * Security and trust in blockchain protocols and applications * Social implications of security and trust IMPORTANT DATES All deadlines are at 11.59PM / 23:59 American Samoa Time Submission: June 22, 2020 July 6, 2020 Notification: August 3, 2020 Camera-ready: August 10, 2020 INSTRUCTIONS FOR PAPER SUBMISSION All submissions should be appropriately anonymized (i.e., papers should not contain author names or affiliations, or obvious citations). Submissions should be at most 16 pages in the LNCS format, including the bibliography and well-marked appendices. All submissions must be written in English, and only PDF files will be accepted (a Latex source file will be required for the final version of accepted papers). The final version of an accepted paper must be in the format required for publication in the LNCS series. Authors should consult Springer?s authors? guidelines and use their proceedings templates. Springer encourages authors to include their ORCIDs https://goo.gl/hbsa4D in their papers. Submissions not meeting these guidelines risk rejection without consideration of their merits. Submissions are to be made to the submission web site at: https://easychair.org/conferences/?conf=stm2020 Papers must be received by the deadline of June 22 (11:59 p.m. American Samoa time). At least one author of accepted papers must guarantee that they will present their paper at the workshop. As in previous years, the proceedings are planned to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. A paper submitted to STM 2020 cannot be under review for any other conference or journal during the time it is being considered for STM 2020. Furthermore, after you submit to STM 2020, you must await our response before submitting elsewhere. If you submit your paper to another conference or journal either before or after submission of the paper to STM 2020, we will reject your paper without review and will also notify the other conference/journal. This restriction applies to identical as well as to substantially similar papers. In addition, the corresponding author of each accepted paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. PROGRAM CHAIRS Kostantinos Markantonakis, Information Security Dept., Royal Holloway, UK Marinella Petrocchi, Institute for Informatics and Telematics, CNR, Pisa, Italy WEB CHAIR Michela Fazzolari, Institute for Informatics and Telematics, CNR, Pisa, Italy PROGRAM COMMITTEE Sara Abugazalah, King Khalid University, Saudi Arabia Raja Naeem Akram, Information Security Dept., Royal Holloway, UK Cristina Alcaraz, University of Malaga, Spain Stefano Calzavara, Universit? Ca? Foscari Venezia, Italy Madeline Cheah, Horiba Mira, UK Mauro Conti, University of Padua, Italy Gabriele Costa, IMT School for Advanced Studies, Lucca, Italy Haitham Cruickshank, University of Surrey, UK Jorge Cuellar, Siemens AG, Germany Sabrina De Capitani di Vimercati, University of Milano, Italy Rocco De Nicola, IMT School for Advanced Studies, Lucca, Italy Roberto Di Pietro, Hamad Bin Khalifa University, Doha, Qatar Michela Fazzolari, IIT-CNR, Italy Sara Foresti, Universit? degli Studi di Milano, Italy Lettiero Galletta, IMT School for Advanced Studies, Lucca, Italy Olga Gadyatskaya, LIACS, Leiden University, The Netherlands Gerhard Hancke, City University of Hong Kong, Hong Kong Thibaut Heckmann, ISG Smart Card and IoT Security Centre, London, UK Julio Hernandez, University of Kent, UK Darren Hurley-Smith, Information Security Dept., Royal Holloway, UK Christos Kaloniatis, University of the Aegean, Greece Ghassan Karame, NEC Laboratories Europe, Germany Nikos Komninos, City University of London, UK Giovanni Livraga, Universit? degli Studi di Milano, Italy Eleonora Losiouk, University of Padua, Italy Emmanuel Magkos, Ionian University, Greece Luigi Mancini, Universit? di Roma La Sapienza, Roma, Italy Fabio Martinelli, IIT-CNR, Italy Ilaria Matteucci, IIT-CNR, Italy Sjouke Mauw, University of Luxembourg, Luxembourg Keith Mayes, Information Security Group, Royal Holloway, UK Nikolaos Petroulakis, Foundation for Research and Technology-Hellas (FORTH), Greece Nikos Pitropakis, Edinburgh Napier University, UK Joachim Posegga, University of Passau, Germany Konstantinos Rantos, Eastern Macedonia and Thrace Institute of Technology, Greece Michael Rusinowitch, LORIA ? INRIA Nancy, France Pierangela Samarati, University of Milano, Italy Damien Sauveron,University of Limoges, France Daniele Sgandurra, Royal Holloway, UK Angelo Spognardi, Universit? di Roma La Sapienza, Roma, Italy Mark Strembeck, Vienna University of Economics and Business, Vienna Tom Van Goethem, KU Leuven, Belgium Mathy Vanhoef, NYU Abu Dhabi, United Arab Emirates Chan Yeob Yeun, Khalifa University, Abu Dhabi, United Arab Emirates Chia-Mu Yu, National Chung Hsing University, Taiwan We look forwards to receiving your submissions. Kind regards, Darren Hurley-Smith, Ph.D., Publicity Chair Lecturer in Information Security Information Security group Royal Holloway University of London darren.hurley-smith at rhul.ac.uk This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free. -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Mon Jul 6 11:43:51 2020 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Mon, 6 Jul 2020 11:43:51 -0400 Subject: Connectionists: Contents Alert for JEMR's Special Thematic Issue on "Microsaccades: Empirical Research and Methodological Advances" (Part 1) In-Reply-To: <10c001d653ac$20e383f0$62aa8bd0$@neuralcorrelate.com> References: <104f01d653a8$42329270$c697b750$@neuralcorrelate.com> <10c001d653ac$20e383f0$62aa8bd0$@neuralcorrelate.com> Message-ID: <10de01d653ac$4296fcc0$c7c4f640$@neuralcorrelate.com> Dear Colleagues, On behalf of the Journal of Eye Movement Research, it is my pleasure to announce that Part 1 of the Special Thematic Issue on ?Microsaccades: Empirical Research and Methodological Advances? is now complete, comprising 14 articles by research teams around the world. Contributions include the characterization of fixational eye movements and saccadic intrusions in neurological impairments and in visual disease, methodological developments in microsaccade detection, the measurement of fixational eye movements in applied and ecological scenarios, and advances in the current understanding of the relationship between microsaccades and cognition. We invite you to read the Table of Contents below, and download articles of interest: * Microsaccades: Empirical Research and Methodological Advances - Introduction to Part 1 of the Thematic Special Issue Susana Martinez-Conde, Ralf Engbert, Rudolf Groner * Microsaccades distinguish looking from seeing Eva Krueger, Andrea Schneider, Ben Sawyer, Alain Chavaillaz, Andreas Sonderegger, Rudolf Groner, Peter Hancock * PDF * Anticipation of cognitive conflict is reflected in microsaccades: Evidence from a cued-flanker task Mario Dalmaso, Luigi Castelli, Giovanni Galfano * PDF * Motion tracking of iris features to detect small eye movements Aayush K. Chaudhary, Jeff B. Pelz * PDF * VisME: Visual microsaccades explorer Tanja Munz, Lewis L. Chuang, Sebastian Pannasch, Daniel Weiskopf * PDF * Microsaccades and covert attention: Evidence from a continuous, divided attention task Aimee Elizabeth Ryan, Brendan Keane, Guy Wallis * PDF * Microsaccades reflect the dynamics of misdirected attention in magic Anthony S. Barnhart, Francisco M. Costela, Susana Martinez-Conde, Stephen L. Macknik, Stephen D. Goldinger * PDF * Saccadic intrusions in amyotrophic lateral sclerosis (ALS) Wolfgang Becker, Martin Gorges, Doroth?e Lul?, Elmar Pinkhardt, Albert Christian Ludolph, Jan Kassubek * PDF * Fixational eye movement waveforms in amblyopia: Characteristics of fast and slow eye movements Sarah Linda Kang, Sinem B. Beylergil, Jorge Otero-Millan, Aasef Shaikh, Fatema Ghasia * PDF * Effects of visual blur on microsaccades during visual exploration Sherry Tang, Peggy Skelly, Jorge Otero-Millan, Jonathan Jacobs, Jordan Murray, Aasef G. Shaikh, Fatema F. Ghasia * PDF * Reliability and correlates of intra-individual variability in the oculomotor system Marlou Nadine Perquin, Aline Bompas * PDF * Can microsaccade rate predict drug response? Tom Stafford, Paul G. Overton, Elliot Hampsey * PDF * What makes a microsaccade? A review of 70 years research prompts a new detection method Anna-Katharina Hauperich, Laura K. Young, Hannah E. Smithson * PDF * Microsaccade generation requires a foveal anchor Jorge Otero-Millan, Rachel E Langston, Francisco Costela, Stephen L Macknik, Susana Martinez-Conde * PDF * Microsaccades in applied environments: Real-world applications of fixational eye movement measurements Robert G Alexander, Stephen L Macknik, Susana Martinez-Conde * PDF * Part 2 of the Special Thematic Issue is already in progress and articles there will be published immediately after acceptance. Thank you for your interest and best wishes, Susana Martinez Conde, Ralf Engbert, & Rudolf Groner, editors of the Special Thematic Issue ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience 2014 Society for Neuroscience?s Science Educator Award 2014 Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.Psarrou1 at westminster.ac.uk Mon Jul 6 11:33:19 2020 From: A.Psarrou1 at westminster.ac.uk (Alexandra Psarrou) Date: Mon, 6 Jul 2020 15:33:19 +0000 Subject: Connectionists: MOI2QDN Workshop at ICPR2020 In-Reply-To: References: , , Message-ID: MOI2QDN Workshop at ICPR2020 International Workshop on Metrification and Optimization of Input Image Quality in Deep Networks (MOI2QDN) workshop in conjunction with the 25th International Conference on Pattern Recognition (ICPR2020) Milan, Italy, January 11, 2021 https://sites.google.com/my.westminster.ac.uk/moi2qdn/home P A P E R S U B M I S S I O N I S N O W O P E N ! * PLEASE NOTE THAT PAPERS NOT ACCEPTED IN THE ICPR2020 GENERAL * SESSION AND FITTING MOI2QDN2020 TOPICS COULD BE SUBMITTED HERE *** Submission deadline: October 10, 2020 *** CALL FOR PAPERS: Recent years have seen significant advances in image processing and computer vision applications based on Deep Neural Networks (DNNs). Often deep neural networks for such applications are trained and validated based on the assumption that the images are artefact-free. However, in most real-time embedded system applications the images input to the networks, in addition to any variations of external conditions, have artefacts introduced by the Image Signal Processing (ISP) pipelines. Despite recent advances in interpretability and explainability of deep neural models, DNNs remain widely systems whose operational boundaries cannot be explained or otherwise quantified. It is therefore not clear the level of ISP distortions critical networks can tolerate, or the exact reasons for any performance degradation. This workshop addresses the issues of performance quantification in DNNs and explore recent advances in the systematic analysis of the performance of deep neural networks with respect to degradations in the input image quality due to the ISP pipeline and their proposed solutions. Topics of interest include (but are not limited) to: * Case studies investigating the performance of deep neural networks with respect to change in input image quality * Operational boundaries of DNNs with respect to input image quality * Input image quality metrics for deep neural networks * Optimisation of physical camera parameters and ISP pipelines for integrated DNNs embedded systems * Architectural structures of DNNs for optimising integrated ISP embedded systems PAPER SUBMISSON: Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines. The following paper categories are welcome: * Full papers (12-15 pages, including references) * Short papers (6-8 pages, including references) Accepted manuscripts will be included in the ICPR 2020 Workshop Proceedings Springer volume. Once accepted, at least one author is expected to attend the event and orally present the paper. Papers can be submitted using Microsoft CMT DATES: Paper submission: 10 October 2020 Notification: 10 November 2020 Camera ready: 15 November 2020 Workshop: 11 January 2021 ORGANIZERS: For any information please sent an email to one of the organisers: Alexandra Psarrou > Sophie Triantaphillidou > Markos Mentzelopoulos The University of Westminster is a charity and a company limited by guarantee. Registration number: 977818 England. Registered Office: 309 Regent Street, London W1B 2HW. This message and its attachments are private and confidential. If you have received this message in error, please notify the sender and remove it and its attachments from your system. -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.soto at cs.uns.edu.ar Mon Jul 6 08:59:35 2020 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Mon, 06 Jul 2020 09:59:35 -0300 Subject: Connectionists: ACM IUI 2021: Call for papers [corrected dates] Message-ID: *** ACM IUI 2021: Call for Papers *** * College Station, TX * April 13-17, 2021 * http://iui.acm.org/2021/ * Contact: program2021 at iui.acm.org ## Upcoming deadlines Abstract: Oct 2, 2020 (compulsory) Paper submission: Oct 9, 2020 ## ACM IUI 2021 ACM IUI 2021 is the 26th annual premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) and Artificial Intelligence (AI) communities meet, with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is on improving the interaction between humans and digital technology, by leveraging both HCI approaches and state-of-the art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. ### Why you should submit to ACM IUI While other conferences focus on either the AI or HCI side of this research, we address the complex interaction between the two. We strongly encourage submissions that simultaneously discuss research from both HCI and AI. We also welcome works that focus more on one side or the other, but still highlight the connections between the two. We value papers that contribute methodology or theory for the evaluation of intelligent user interfaces. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contributions. ACM IUI welcomes contribution from all relevant arenas?academia, industry, government, and non-profit organizations?and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. The conference is large enough to be diverse and lively, but small enough to allow for extensive interaction among attendees and easy attendance to the events that the conference offers, ranging from oral paper presentations, poster sessions, workshops, panels and a doctoral consortium for graduate students. ### COVID-19 statement We are monitoring the situation regarding the global pandemic and associated travel restrictions. If needed, we will offer a virtual presentation option if the conference cannot take place due to the global pandemic, or if registered authors from specific parts of the world cannot attend the conference. ## Papers We accept two forms of contributions: full and short papers. They should both make novel contributions to IUI, however full papers should make more substantial and significant contributions, while short papers can contain more focused contributions. Accepted papers will appear in the ACM Digital Library and citation indices. A selected set of accepted top quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS, http://tiis.acm.org) special issue titled "Highlights of IUI 2021". ## Topics IUI topics of interest include, but are not limited to: * Application areas * Internet of Things (IoT) * Education and learning-related technologies * Health and intelligent health technologies * Assistive technologies * Social media and other Web technologies * Mobile applications * Artificial personal assistants * Information retrieval, search, and recommendation systems * Interface types * Affective and aesthetic interfaces * Collaborative interfaces * Speech-based interfaces * AR/VR interfaces * Intelligent wearable and mobile interfaces * Ubiquitous smart environments * Modalities * Agent based interfaces (e.g., embodied agents, virtual assistants) * Multi-modal interfaces (speech, gestures, eye gaze, face, physiological information etc.) * Conversational interfaces * Tangible interfaces * Intelligent visualization * Methods and approaches * Methods for explanations (e.g., transparency, control, and trust) * Persuasive technologies in IUI * Privacy and security of IUI * Planning and plan recognition for IUI * Knowledge-based approaches to user interface design and generation * User Modelling for Intelligent Interfaces * User-Adaptive interaction and personalization * Crowd computing and human computation * Human-in-the loop machine learning * Evaluations of intelligent user interfaces * User experiments * User studies * Reproducibility (including benchmarks, datasets, and challenges) * Meta-analyses * Mixed-methods evaluations ## Dates * Oct 2, 2020: Abstract deadline (compulsory) * Oct 9, 2020: Papers deadline * Dec 14, 2020: Notification * Feb 8, 2021: Camera ready due * Apr 13, 2021: Conference starts ## Submission Guidelines Check the submission guidelines on the conference page: https://iui.acm.org/2021/call_for_papers.html ## Program Chairs * John O?Donovan, University of California, Santa Barbara * Bart Knijnenburg, Clemson University * Paul Teale, Texas A&M * Jeeeun Kim, Texas A&M * Aaron Adler, Raytheon BBN Technologies * Manoj Prasad, Microsoft * Contact: program2021 at iui.acm.org From cgf at isep.ipp.pt Mon Jul 6 12:44:09 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Mon, 6 Jul 2020 17:44:09 +0100 Subject: Connectionists: CFP: Special Issue on Foundations of Data Science - Machine Learning Journal Message-ID: 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 bogdanlapi at gmail.com Mon Jul 6 17:06:50 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Tue, 7 Jul 2020 00:06:50 +0300 Subject: Connectionists: Call-for-Lab-Proposals @ CLEF 2021 Conference and Labs of the Evaluation Forum Message-ID: ***************************** CLEF 2021 Conference and Labs of the Evaluation Forum Bucharest, Romania, September 21-24, 2021 http://clef2021.clef-initiative.eu/ ***************************** #Call-for-Lab-Proposals CLEF is a leading annual international conference exploring topics in information access technologies. CLEF uniquely combines evaluation laboratories and workshops with research presentations, panels, poster and demo sessions. CLEF 2021 (http://clef2021.clef-initiative.eu/) will be held on 21-24 September 2021 with University "Politehnica" of Bucharest, in Bucharest, Romania. Researchers and practitioners from all areas of information access and related communities are invited to submit proposals for Evaluation Labs for consideration for inclusion in CLEF 2021 lab programme. Lab proposals will be reviewed by the lab selection committee. #Background The CLEF Initiative (http://www.clef-initiative.eu/) is a self-organized body whose main mission is to promote research, innovation, and development of information access systems with an emphasis on multilingual information in different modalities - including text and multimedia - with various levels of structure. CLEF promotes research and development by providing an infrastructure for: - independent evaluation of information access systems, - investigation of the use of unstructured, semi-structured, highly-structured, and semantically enriched data in information access, - creation of reusable test collections for benchmarking, - exploration of new evaluation methodologies and innovative ways of using experimental data, - discussion of results, comparison of approaches, exchange of ideas, and transfer of knowledge. CLEF 2021 will be the twenty second edition of the current CLEF conference launched as a continuation of the annual CLEF evaluation campaign series which ran with great success from 2000 to 2009 contributing to the systematic evaluation of information access systems, primarily through experimentation on shared tasks. #Scope of CLEF Labs Proposals are accepted for two different types of labs (see also the 2020 Labs at https://clef2020.clef-initiative.eu/index.php?page=Pages/labs.html): - Evaluation Labs that are a "campaign-style" evaluation for specific information access problems (during the twelve month period preceding the conference), similar in nature to the traditional CLEF campaign "tracks". Topics covered by campaign-style labs can be inspired by any information access-related domain or task. - Labs that follow a more classical "workshop" pattern, exploring issues of evaluation methodology, metrics, processes, etc. in information access and closely related fields, such as natural language processing, machine translation, and human-computer interaction. If the lab organisers of the proposal are new to CLEF or other shared task evaluation campaigns, we highly recommend that a lab workshop first be organised to discuss the format, the problem space, and the practicalities of the shared task. The CLEF 2021 programme will reserve about half of the conference schedule for lab sessions. The labs will present their overall results "overview presentations" during the plenary scientific paper sessions to allow non-participants to get a sense of where the research frontiers are moving. Organisers of each lab are expected to organise the separate sessions for their lab at the conference so that they contain ample time for general discussion and engagement by all participants - not just those presenting campaign results and papers. Lab organisers should plan time in their sessions for activities such as panels, demos, poster sessions etc. as appropriate. CLEF is always interested in receiving and facilitating innovative lab proposals. Potential task proposers who are unsure of the suitability of their task proposal or its format for inclusion at CLEF are encouraged to contact the CLEF 2021 Lab Organizing Committee Chairs to discuss its suitability or design at an early stage. #Proposal Submission Lab proposals must provide sufficient information to judge the relevance, timeliness, scientific quality, benefits for the research community, and the competence of the proposers to coordinate the lab. Each lab proposal should identify one or more organizers as responsible for ensuring the timely execution of the lab. Proposals should be 3 to 4 pages long and should provide the following information: - Title of the proposed lab. - A brief description of the lab topic and goals, its relevance to CLEF and the significance for the field. - A brief but clear statement of usage scenarios or domain to which the activity is intended to contribute, including the evaluation setup and metrics. - Details on the lab organizer(s), including identifying the task chair(s) responsible for ensuring the running of the task. This should include details of any previous involvement in organising or participating in evaluation tasks at CLEF or similar campaigns. - The planned format of the lab, i.e., campaign-style ("track") or workshop. - Is the lab a continuation of an activity from previous year(s) or a new activity? For activities continued from previous year(s): Statistics from previous years (number of participants/runs for each task), a clear statement on why another edition is needed, an explicit listing of the changes proposed, and a discussion of lessons to be learned or insights to be made. For new activities: A statement on why a new evaluation campaign is needed and how the community would benefit from the activity. - Details of the expected target audience, i.e., who do you expect to participate in the task(s), and how do you propose to reach them. - Brief details of tasks to be carried out in the lab. The proposal should clearly motivate the need for each of the proposed tasks and provide evidence of its capability of attracting enough participation. The dataset which will be adopted by the Lab needs to be described and motivated in the perspective of the goals of the Labs; also indications on how the dataset will be shared are useful. It is fine for a lab to have a single task, but labs often contain multiple closely related tasks, needing a strong motivation for more than 3 tasks, to avoid useless fragmentation. - Expected length of the lab session at the conference: half-day, one day, two days. This should include very high level details of the planned structure of the session, e.g., participant presentations, invited speaker(s), panels, etc., to justify the requested session length. - Arrangements for the organization of the lab campaign: who will be responsible for activities within the task; how will data be acquired or created, what tools or methods will be used, e.g., how will necessary queries be created or relevance assessment carried out; any other information which is relevant to the conduct of your lab. - If the lab proposes to set up a steering committee to oversee and advise its activities, include names, addresses, and homepage links of people you propose to be involved. Lab proposals have to be submitted at the following address: https://easychair.org/conferences/?conf=clef2021 choosing the ?CLEF 2021 Lab Proposals? track. #Reviewing Process Each submitted proposal will be reviewed by the CLEF 2021 Lab Organizing Committee. The decision will be sent by email to the responsible organizer by September 15, 2020. The final length of the lab session will be determined based on the overall organization of the conference and the number of participant submissions received by a lab. #Advertising Labs at CLEF 2020 and ECIR 2021 Organizers of accepted labs are expected to advertise their labs at both CLEF 2020 (22-25 September 2020, online event, Thessaloniki, Greece) and ECIR 2021 (March 28 - April 1st 2021, Lucca, Italy). At least one lab representative should participate in these events. Advertising at CLEF 2020 will consist of running a break-out session to discuss the lab with prospective participants, and advertising/announcing it during the closing session. Advertising at ECIR 2021 will consist of submitting a short lab description to be included in the ECIR 2021 proceedings (submission by 15 October 2020), advertising the lab in a booster session during ECIR 2021, and presenting a poster about the lab. #Mentorship Program for Lab Proposals from newcomers As in the last year, CLEF 2021 will run a mentorship program to support the preparation of lab proposals for newcomers to CLEF. However due to the COVID-19 pandemic and the schedule shift, this year will be a lighter and more accelerated process than in the previous year. We encourage newcomers to refer to Friedberg et al. (2015) for initial guidance on preparing their proposal: Friedberg I, Wass MN, Mooney SD, Radivojac P. Ten simple rules for a community computational challenge. PLoS Comput Biol. 2015 Apr 23;11(4):e1004150. The CLEF newcomers mentoring program offers help, guidance, and feedback on the writing of your draft lab proposal by assigning a mentor to you, who help you in preparing and maturing the lab proposal for submission. If your lab proposal falls into the scope of an already existing CLEF lab, the mentor will help you to get in touch with those lab organizers and team up forces. Lab proposals for mentorship have to be submitted at the following address: https://easychair.org/conferences/?conf=clef2021 choosing the ?CLEF 2021 Lab Mentorship? track. #Important Dates Due to the COVID-19 pandemic, this year?s schedule for the lab proposal submission has been significantly changed: - Requests for accelerated mentorship submission (only newcomers): 24 July 2020 - Accelerated mentorship period starts: 27 July 2020 Lab proposals submission (both newcomers and veterans): 26 August 2020 - Notification of lab acceptance: 15 September 2020 - Advertising labs at CLEF 2020: 22-25 Sept. 2020, online event - Submission of short lab description for ECIR 2021: 15 October 2020 - Lab registration opens: 5 November 2020 - Advertising labs at ECIR 2021: 28 March-1st April 2021, Lucca, Italy #CLEF 2021 Lab Chairs Alexis Joly, Inria, LIRMM, University of Montpellier, France Maria Maistro, University of Copenhagen, Denmark Florina Piroi, Vienna University of Technology, Austria #CLEF 2021 Lab Accelerated Mentorship Chairs Lorraine Goeuriot, Universit? Grenoble Alpes, France Henning M?ller, University of Applied Sciences Western Switzerland, Switzerland On behalf of the General Chairs, Prof. Bogdan IONESCU ETTI - University Politehnica of Bucharest http://campus.pub.ro/lab7/bionescu/ From eneftci at uci.edu Mon Jul 6 23:02:22 2020 From: eneftci at uci.edu (Emre Neftci) Date: Mon, 06 Jul 2020 20:02:22 -0700 Subject: Connectionists: Virtual Telluride Neuromorphic Engineering Workshop (July 27-31 2020) Message-ID: <0d37bacd-2356-4e42-b1b6-c691de95dbce@www.fastmail.com> We are happy to announce a Virtual Telluride Neuromorphic Cognition Engineering Workshop 2020 (https://tellurideneuromorphic.org/) this year in replacement of our usual Workshop in Telluride. The workshop will take place from July 27 to July 31 (8am to 10am PDT, or 17:00 to 19:00 CET). The format will be a week of lectures and tutorials on current topics in neuromorphic engineering (two hours per day) followed by four hands-on, collaborative challenges which will be carried out in the month of August. The results of the challenges will be presented on September 10 and 11, 2020. More up-to-date information on the list of speakers and the challenges can be found at the 2020 Neuromorphic Workshop website (https://sites.google.com/view/telluride2020/home). The workshop is free to attend and is open to everyone upon registration. Regards, The Telluride Neuromorphic Cognition Engineering 2020 Organizing Committee -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/), Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100 From hocine.cherifi at gmail.com Tue Jul 7 05:07:18 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 7 Jul 2020 11:07:18 +0200 Subject: Connectionists: Last CFP Special Issue on EPIDEMICS DYNAMICS & CONTROL ON NETWORKS Message-ID: *Applied Network Science Special Issue on* *EPIDEMICS DYNAMICS & CONTROL ON NETWORKS* https://appliednetsci.springeropen.com/call-for-papers Networks are ubiquitous in natural, technological and social systems. They offer a fertile framework for understanding and controlling the diffusion of ideas, rumors, and infectious diseases of plants, animals, and humans. Despite recent advances, many challenging scientific questions remain about the correct tools and their practical role in epidemics dynamics and effective strategies supporting public health decision making. The goal of this special issue is to offer a platform to the interdisciplinary community of scientists working on the diffusion process on networks and its plethora of applications. We hope for a broad range of topics to be covered, across theory, methodology, and application to empirical data with a special emphasis on epidemic spreading. Survey and review papers are welcome. *Important dates* Expression of interest and abstract submission: July 13, 2020 Abstract feedback notification: July 17, 2020 Paper submission deadline: September 21, 2020 Target publication: November 01, 2020 *Papers are published upon acceptance, regardless of the Special Issue publication date**.* *Submission Instructions * We invite authors to submit a brief expression of interest containing a short outline or extended abstract (approx. 1000 words), including the topic, key concepts, methods, expected results, and conclusions. Abstracts should be submitted via easy chair to ANSEDC20 (Applied Network Science: Special Issue on Epidemics Dynamics & Control on networks) at the address: https://easychair.org/conferences/?conf=ansepidemics20 They will be reviewed to determine if the submission is in the scope of this special issue. Authors with accepted abstracts will be invited to submit their papers through the journal submission system for a full review and publication. The Lead guest editor Matja? Perc matjaz.perc at gmail.com *University of Maribor, Slovenia* The Guest editors Benjamin M. Althouse bma85 at uw.edu *University of Washington, USA* Hocine Cherifi hocine.cherifi at u-bourgogne.fr *University of Burgundy, France* Joel C Miller joel.c.miller.research at gmail.com *La Trobe University, Australia* Chiara Poletto chiara.poletto at inserm.fr *Inserm, France* Giulio Rosseti giulio.rossetti at isti.cnr.it *University of Pisa, Italy* Onur Varol ovarol at northeastern.edu *Northeastern University, USA* *Join us at *: COMPLEX NETWORKS 2020 Madrid Spain *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From renoust at ids.osaka-u.ac.jp Tue Jul 7 03:51:47 2020 From: renoust at ids.osaka-u.ac.jp (Benjamin Renoust) Date: Tue, 7 Jul 2020 09:51:47 +0200 Subject: Connectionists: [CFP] COMPLEX NETWORKS 2020 Message-ID: CFP COMPLEX NETWORKS 2020 Madrid Spain December 1-3, 2020 **COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions in many countries, COMPLEX NETWORKS 2020 is planned fully online. Registration fees will be adjusted accordingly**. (**Apologies for any cross posting)* *Ninth** International Conference on Complex Networks & Their Applications* *Madrid, Spain December 1- 3, 2020* http://www.complexnetworks.org You are cordially invited to submit your contribution until September 02, 2020. *Speakers * ? Leman Akogu Carnegie Mellon University, USA ? Stefano Boccaletti ISC CNR, Italy ? Fosca Giannotti KDD Lab Pisa, Italy ? J?nos Kert?sz Central European University Hungary ? Vito Latora Queen Mary, University of London UK ? Alex ?Sandy? Pentland MIT Media Lab, USA ? Nata?a Pr?ulj Barcelona Supercomputing Center Spain *Tutorials** (**November 30, 2020**)* ? David Garcia Complexity Science Hub Vienna Austria ? Mikko Kivel? Aalto University Finland *Conference publications* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome*.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* *Post-conference publications* Extended versions of unpublished contributions (papers & abstracts) will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Frontiers in Big Data o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *Topics * include, but are not limited to o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *General Chairs* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* *Program Chairs* Chantal Cherifi *University of Lyon, France* Luis M. Rocha *Indiana University, USA* Marta Sales-Pardo *Universitat Rovira i Virgili, Spain* -- Benjamin Renoust Guest Associate Professor Osaka University, Institute for Datability Science Suita Campus, TechnoAlliance Building #C503 2-8, Yamadaoka, Suita, Osaka, 565-0871, Japan tel: +81-6-6105-6073 fax:+81-6-6105-6075 renoust at ids.osaka-u.ac.jp -------------- next part -------------- An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Tue Jul 7 05:47:14 2020 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Tue, 7 Jul 2020 11:47:14 +0200 Subject: Connectionists: =?utf-8?q?The_European_Neuroscience_Institute_in_?= =?utf-8?q?G=C3=B6ttingen_=28ENI-G=29_Germany_announces_positions_f?= =?utf-8?q?or_Group_Leaders_=28m/f/d=29?= Message-ID: The European Neuroscience Institute in G?ttingen (ENI-G) Germany announces positions for Group Leaders (m/f/d) - Limitation: fixed-term - Working period: full-time - Tariff: salary according to TV-L - Announcement published on 06.07.2020 - Vacancy from 01.01.2021 - Application deadline: 31.08.2020 The ENI-G, a joint initiative between the University Medical Center G?ttingen and the Max-Planck-Society, provides an exceptional environment for excellent young researchers in the neurosciences. *We seek:* Applicants with an outstanding record of research in neuroscience. Topics range from molecular and cellular physiology, neuronal circuit analysis, imaging (at all scales), to computational and cognitive neuroscience. Current work at the ENI-G focuses on physiology, sensory processing and plasticity in multiple species, from invertebrates to humans. Research that complements these already established topics, including computational approaches at the ENI-G is also welcome. *We offer:* Group leaders a maximal amount of independence while also providing the support necessary to build up a new research program. ENI-G will provide office and laboratory space as well as a generous start-up. State of the art equipment, including dedicated microscopy infrastructure, animal facilities, a precision workshop, IT and administrative support are available in house. Unparalleled opportunities for scientific collaboration and interaction exist within the G?ttingen Research Campus, including the University of G?ttingen and its Medical School, three Max Planck Institutes (Biophysical Chemistry, Experimental Medicine, and Dynamics and Self Organization), the German Primate Center and the Bernstein Center for Computational Neuroscience. We will work closely with the recently established Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells (https://mbexc.de/en/)" as well as the newly starting Heart and Brain Center G?ttingen. In addition to the excellent research environment that ENI-G provides, its independent group leaders can benefit from the resources and funding opportunities offered by the Collaborative Research Centers (CRC / SFB) within the G?ttingen Neuroscience community. The ENI-G also houses the distinguished graduate program ?IMPRS Neurosciences?, facilitating interactions with excellent students and providing opportunities for teaching. You will have an experienced mentor by your side, receive broad administrative support, professional leadership training, and help with relocation and establishing a life in Germany, including visa application, housing, schooling, and day-care. Successful group leaders will have the opportunity to obtain a permanent position after a two step internal and external evaluation. *We look forward to:* Applications from outstanding researchers who are enthusiastic about pursuing an independent research program in an environment that supports cutting edge research. The successful candidate is expected to develop a vigorous research program with a Ph.D. received within the last five years. Relevant research training and outstanding research reflected by high-impact publications are a prerequisite for consideration. The applicant is expected to acquire competitive third-party funding, and eligibility for ERC Starting Grant / DFG Emmy Noether level funding (or comparable) is a requirement. Details about funding opportunities can be found at http://www.eni-g.de/career/group-leader. Interested candidates should submit their curriculum vitae and record of publications highlighting their 3-5 most significant publications, as well as a research statement (3-5 pages), and a copy of their PhD degree, preferably in one pdf. Application deadline: 31 August 2020. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. We look forward to receiving your application by *31.08.2020*: University Medical Center G?ttingen European Neuroscience Institute G?ttingen Christiane Becker Administration Manager Grisebachstr. 5 37077 G?ttingen Tel.: 0551/39-61300 Fax: 0551/39-61399 E-Mail: c.becker at eni-g.de Web: http://www.eni-g.de/index.php?id=groupleader Please send your application only via e-mail as a PDF-file. Travel and application fees cannot be refunded or transferred. https://www.umg.eu/karriere/stellenangebote/stellenanzeigen-detail/?jobId=3342 -------------- next part -------------- An HTML attachment was scrubbed... URL: From heinrich.stefan at ircn.jp Tue Jul 7 09:11:45 2020 From: heinrich.stefan at ircn.jp (Stefan Heinrich) Date: Tue, 7 Jul 2020 22:11:45 +0900 Subject: Connectionists: Assistant Professor / Postdoc position in computational neuroscience and/or developmental robotics at the University of Tokyo Message-ID: Dear colleagues, The International Research Center for Neurointelligence (IRCN) at the University of Tokyo is looking for highly motivated full-time Assistant Professor / Postdoc researchers in the field of computational neuroscience and/or developmental robotics. The selected candidates will join Cognitive Developmental Robotics Laboratory (Prof. Yukie Nagai) and have the opportunity to pursue interdisciplinary research integrating computer science, neuroscience, cognitive science, psychology, robotics, etc. If you are interested in being considered, please send the required documents to yukie at ircn.jp. Assistant Professor / Postdoc Researcher at IRCN, the University of Tokyo https://ircn.jp/en/careers/Postdoctoral-Fellow-Project-Researcher-Nagai-Laboratory Cognitive Developmental Robotics Laboratory (Nagai Lab), the University of Tokyo http://developmental-robotics.jp/en/ --------------------------------------------------------------------------------- 1. Job title: Project Assistant Professor / Project Researcher (Postdoctoral Fellow) 2. Starting Date: Negotiable 3. Term: The first contract will be ended on March 31, 2021. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract duration is until March 31, 2023. 4. Place of Work International Research Center for Neurointelligence The University of Tokyo, Institutes for Advanced Study 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN 5. Qualifications (Required) - Ph.D. in Engineering, Ph.D. in Computer Science or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in computational neuroscience, neural network, machine learning, and/or developmental robotics will be preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees? pension, employment insurance, and workers? accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications and Selection Process - Applications deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie at ircn.jp - Selection Process: All applications will be screened, and only those qualified will be scheduled for an interview (on-site or via video). --------------------------------------------------------------------------------- -- ************************************************************* Dr. Stefan Heinrich Postdoctoral Project Researcher Cognitive Developmental Robotics Lab The University of Tokyo, Institutes for Advanced Studies, International Research Center for Neurointelligence Email: heinrich.stefan at ircn.jp https://developmental-robotics.jp/en/members/stefan_heinrich/ https://ircn.jp/en/ ************************************************************* From zapotocky at biomed.cas.cz Tue Jul 7 18:55:41 2020 From: zapotocky at biomed.cas.cz (Martin Zapotocky) Date: Wed, 8 Jul 2020 00:55:41 +0200 Subject: Connectionists: CNS*2020 Online Meeting starts **July 18** Message-ID: <74cab9fa-794e-6a1a-2e90-a5c9e30a8527@biomed.cas.cz> Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA* * The *29th Annual Computational Neuroscience Meeting (CNS*2020) *will take place online on *July 18--22*. *Registration is free of charge*. In addition to the Main Meeting sessions, the conference hosts 10 tutorials/showcases and 10 workshops, for a total of *over 200 oral and 200 poster presentations*. Keynote addresses will be given by Matt Botvinick, Zhaoping Li, Geoff Goodhill, and Daniel Polani. To gain access to the meeting schedule and the online sessions, please register at https://www.cnsorg.org/cns-2020 You can then use the CNS*2020 Sched instance to assemble a personalized meeting agenda. We hope that you will join us and the 1,200 already registered participants at the CNS*2020 Online Meeting. -- 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 axel.soto at cs.uns.edu.ar Tue Jul 7 10:40:16 2020 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Tue, 07 Jul 2020 11:40:16 -0300 Subject: Connectionists: ACM IUI 2021: Call for workshop proposals Message-ID: ACM IUI 2021 CALL FOR WORKSHOP PROPOSALS In conjunction with the 26th International Conference on Intelligent User Interfaces (IUI 2021) College Station, TX, USA April 13 - 17, 2021 http://iui.acm.org/ IUI 2021 is pleased to invite proposals for workshops to be held in conjunction with the conference. The goal of the workshops is to provide a venue for presenting research on focused topics of interest and an informal forum to discuss research questions and challenges. Workshops will be held on the first day of the conference. We invite submissions of full-day (6 hours) and half-day (3 hours) workshop proposals on any of the conference topics (or related). This year we are particularly interested in workshops that have an interactive aspect. Preference will be given to workshops with interactive and hands-on sessions where participants can team up or work together towards the common goal of the workshop. We encourage proposals for a wide range of workshops, including but not limited to: - "Mini-conferences" on specialized topics; such workshops may have their own paper submission and review processes. - "Late breaking work" meetings; such workshops usually have a lighter review process (e.g. based on abstracts only). - "Hands-on" workshops around a specific problem or topic that may wish to ask participants to submit a position statement. - "Mini-competitions", challenges, or hackathons around selected topics with individual or team participation. == PROPOSAL FORMAT == Note: One of the keys to a successful workshop submission is to CONTACT THE CHAIRS WITH YOUR IDEAS (workshops2021 at iui.acm.org), and work together to prepare an exciting proposal! Workshop proposals should be maximum 2 pages long and follow the standard sigconf format, using one of the Interim ACM templates available at http://www.acm.org/publications/article-templates/proceedings-template.html Please submit your proposal via the PCS 2.0 submission system (https://new.precisionconference.com). The proposals should be organized as follows: - Name and title: A one-word workshop acronym and a full title. - Description of workshop topic and goal: This description should discuss the relevance of the suggested topic to the IUI audience. Include a brief discussion of why and for which audience the workshop is of particular interest. - Organizers: Names, affiliations, emails, and web pages of the workshop organizers. This can be a single person or a group of people. Strong proposals normally include organizers who bring differing perspectives on the topic and are actively connected to the communities of potential participants. Please indicate the primary contact person and the organizers who plan to attend the workshop. - Previous history: List of previous workshops that were held on the topic including the conferences that hosted past workshops and the number of participants. Also please provide the list of other workshops organized by workshop organizers in the past. - Workshop program committee: Names and affiliation of the members of the (tentative) workshop program committee that will evaluate the workshop submissions. - Participants: A statement saying how many participants you expect and how you plan to invite participants for the workshop. We recommend the proposal to include the names of at least 10 people who have expressed interest to participate in, or contribute a paper to, the workshop. - Workshop format: A brief description of the workshop format regarding the mix of events such as paper presentations, invited talks, panels, demonstrations, and general discussion. - Length: Full-day or half-day. - Proposal format: Workshop proposals should be maximum 2 pages long and follow the formatting instructions from (sigconf): http://www.acm.org/publications/article-templates/proceedings-template.html Additional guidelines: ---------------------- - Workshop proposals will be reviewed and evaluated by the workshop chairs. - Organizers: We strongly encourage all of the workshop organizers to attend IUI and take part in their workshop. This can make the workshops more appealing for the participants and strengthen the discussion part. - Workshop summary: An extended abstract with a summary of the workshop goals and an overview of the workshop topics will be included in the ACM Digital Library for IUI 2021. - Workshop proceedings: At the convenience of the workshop organizers, we will arrange a joint volume of online proceedings for the workshop papers. Workshops should request the authors to submit papers in the ACM SIGCHI Paper Format. - Cancellation: Workshops with few submissions by January 3 2021 may be cancelled, shortened, merged with other workshops, or otherwise restructured. This will be done in consultation between the IUI 2021 workshop chairs and the workshop organizers. Additionally, we strongly encourage to have workshop organizers from different institutions and research communities, bringing different perspectives to the workshop topic. We welcome workshops with a creative structure that attracts various types of contributions and ensures rich interactions. The organizers of accepted workshops are responsible for producing a call for participation and publicizing it, such as distributing the call to relevant newsgroups and electronic mailing lists, and especially to potential audiences from outside the IUI conference community. Workshop organizers will maintain their own website with updated information about the workshops and the IUI 2021 web site will refer to the workshop site. The workshop organizers will coordinate the paper solicitation, collection, and review process, and coordinate the production of the joint online proceedings with IUI 2021 workshop chairs. == IMPORTANT DATES == Discuss your topic with the workshop chairs: ASAP Workshop date: Proposals Due: September 15, 2020 Decisions sent: October 07, 2020 Submissions due: December 23, 2020 Reporting of status: January 03, 2021 Final go/no-go decisions: January 05, 2021 Notification to authors: January 31, 2021 Camera-ready for workshop summary [ACM Companion] February 10, 2021 Camera-ready for accepted papers February 28, 2021 From mtkostecki at gmail.com Tue Jul 7 13:28:56 2020 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Tue, 7 Jul 2020 19:28:56 +0200 Subject: Connectionists: Nencki Open Lab Systems Neuroscience Seminars in July Message-ID: Dear all, I would like to invite you to the Nencki Open Lab Systems Neuroscience Seminars series in July that we organize every Wednesday, 3:30 GMT +2. Our seminars are organized via zoom -* please contact us to get an invitation*. Please find a schedule for July below. *8.7*. *How does seeing help listening? A role for vision in shaping scene analysis in auditory cortex* - Jennifer Bizley (UCL) *15.7* *Predictive processing in cortical circuits -* Georg Keller (FMI) *22.7* *The Desire to Know: Non-Instrumental Information Seeking in Mice *- Jenifer Bussel (Columbia University) *29.7* *Reward foraging task and model-based analysis reveal how fruit flies learn the value of available options -* Duda Kvitsiani (Aarhus University) Best, Mateusz Kostecki -------------- next part -------------- An HTML attachment was scrubbed... URL: From julian.togelius at gmail.com Tue Jul 7 13:26:57 2020 From: julian.togelius at gmail.com (Julian Togelius) Date: Tue, 7 Jul 2020 13:26:57 -0400 Subject: Connectionists: CEC 2021: call for competitions Message-ID: Simon Lucas and I are competition chairs for next year's IEEE Congress on Evolutionary Computation, and we welcome your proposals for competitions! Proposals for competitions should include descriptions of the problems addressed, motivations and expected impact on evolutionary computation, data description, evaluation procedures and established baselines, schedules, anticipated number of participants, and a biography of the main team members. Please submit your proposals to us: Simon M. Lucas simon.lucas at qmul.ac.uk and Julian Togelius julian at togelius.com. https://cec2021.mini.pw.edu.pl/en/calls/call-for-competitions -- Julian Togelius Associate Professor, New York University Department of Computer Science and Engineering Editor-in-Chief, IEEE Transactions on Games julian at togelius.com | http://julian.togelius.com From Darren.Hurley-Smith at rhul.ac.uk Tue Jul 7 14:37:15 2020 From: Darren.Hurley-Smith at rhul.ac.uk (Hurley-Smith, Darren) Date: Tue, 7 Jul 2020 18:37:15 +0000 Subject: Connectionists: [CfP] ~DEADLINE EXTENDED~ Security and Trust Management 2020 Call for Papers In-Reply-To: References: , , Message-ID: The deadline to submit your manuscripts to STM2020 has been extended until 11:59PM American Samoa Time, 13th July 2020! We look forwards to receiving your submissions. COVID-19 UPDATE After assessment of the COVID-19 Pandemic, the ESORICS 2020 Organizing Committee has made the decision to move the conference and all associated workshops to an online format. Arrangements for the virtual format are being made and we will post updates as they are announced. This new format will not affect our proceedings, which will be published as Springer LNCS proceedings. =========================================================================== STM 2020 The 16th International Workshop on Security and Trust Management Co-located with: ESORICS 2020 September 17-18, 2020, University of Surrey, Guildford, UK ***Due to COVID-19 this is now a Virtual Event*** https://www.iit.cnr.it/stm2020/ =========================================================================== SCOPE STM (Security and Trust Management) is a working group of ERCIM (European Research Consortium in Informatics and Mathematics). STM 2020 is the sixteenth workshop in this series and will be held at the University of Surrey, Guildford, UK, in conjunction with the 25th European Symposium On Research in Computer Security (ESORICS 2020). The workshop seeks submissions from academia, industry, and government presenting novel research on all theoretical and practical aspects of security and trust in ICTs. TOPICS OF INTEREST * Access control * Anonymity * Applied cryptography * Authentication * Data and application security * Data protection * Data/system integrity * Digital rights management * Economics of security and privacy * Formal methods for security and trust * Identity management * Legal and ethical issues * Mobile security * Networked systems security * Operating systems security * Privacy * Security and trust metrics * Security and trust policies * Security and trust management architectures * Security and trust for big data * Security and trust in cloud environments * Security and trust in content delivery networks * Security and trust in crowdsourcing * Security and trust in social networks * Security and trust in the Internet of Things * Security and trust in pervasive computing * Security and trust in services * Security and trust in edge computing * Security and trust in embedded systems and associated applications * Security and trust in blockchain protocols and applications * Social implications of security and trust IMPORTANT DATES All deadlines are at 11.59PM / 23:59 American Samoa Time Submission: June 22, 2020 July 6, 2020 Notification: August 3, 2020 Camera-ready: August 10, 2020 INSTRUCTIONS FOR PAPER SUBMISSION All submissions should be appropriately anonymized (i.e., papers should not contain author names or affiliations, or obvious citations). Submissions should be at most 16 pages in the LNCS format, including the bibliography and well-marked appendices. All submissions must be written in English, and only PDF files will be accepted (a Latex source file will be required for the final version of accepted papers). The final version of an accepted paper must be in the format required for publication in the LNCS series. Authors should consult Springer?s authors? guidelines and use their proceedings templates. Springer encourages authors to include their ORCIDs https://goo.gl/hbsa4D in their papers. Submissions not meeting these guidelines risk rejection without consideration of their merits. Submissions are to be made to the submission web site at: https://easychair.org/conferences/?conf=stm2020 Papers must be received by the deadline of June 22 (11:59 p.m. American Samoa time). At least one author of accepted papers must guarantee that they will present their paper at the workshop. As in previous years, the proceedings are planned to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. A paper submitted to STM 2020 cannot be under review for any other conference or journal during the time it is being considered for STM 2020. Furthermore, after you submit to STM 2020, you must await our response before submitting elsewhere. If you submit your paper to another conference or journal either before or after submission of the paper to STM 2020, we will reject your paper without review and will also notify the other conference/journal. This restriction applies to identical as well as to substantially similar papers. In addition, the corresponding author of each accepted paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. PROGRAM CHAIRS Kostantinos Markantonakis, Information Security Dept., Royal Holloway, UK Marinella Petrocchi, Institute for Informatics and Telematics, CNR, Pisa, Italy WEB CHAIR Michela Fazzolari, Institute for Informatics and Telematics, CNR, Pisa, Italy PROGRAM COMMITTEE Sara Abugazalah, King Khalid University, Saudi Arabia Raja Naeem Akram, Information Security Dept., Royal Holloway, UK Cristina Alcaraz, University of Malaga, Spain Stefano Calzavara, Universit? Ca? Foscari Venezia, Italy Madeline Cheah, Horiba Mira, UK Mauro Conti, University of Padua, Italy Gabriele Costa, IMT School for Advanced Studies, Lucca, Italy Haitham Cruickshank, University of Surrey, UK Jorge Cuellar, Siemens AG, Germany Sabrina De Capitani di Vimercati, University of Milano, Italy Rocco De Nicola, IMT School for Advanced Studies, Lucca, Italy Roberto Di Pietro, Hamad Bin Khalifa University, Doha, Qatar Michela Fazzolari, IIT-CNR, Italy Sara Foresti, Universit? degli Studi di Milano, Italy Lettiero Galletta, IMT School for Advanced Studies, Lucca, Italy Olga Gadyatskaya, LIACS, Leiden University, The Netherlands Gerhard Hancke, City University of Hong Kong, Hong Kong Thibaut Heckmann, ISG Smart Card and IoT Security Centre, London, UK Julio Hernandez, University of Kent, UK Darren Hurley-Smith, Information Security Dept., Royal Holloway, UK Christos Kaloniatis, University of the Aegean, Greece Ghassan Karame, NEC Laboratories Europe, Germany Nikos Komninos, City University of London, UK Giovanni Livraga, Universit? degli Studi di Milano, Italy Eleonora Losiouk, University of Padua, Italy Emmanuel Magkos, Ionian University, Greece Luigi Mancini, Universit? di Roma La Sapienza, Roma, Italy Fabio Martinelli, IIT-CNR, Italy Ilaria Matteucci, IIT-CNR, Italy Sjouke Mauw, University of Luxembourg, Luxembourg Keith Mayes, Information Security Group, Royal Holloway, UK Nikolaos Petroulakis, Foundation for Research and Technology-Hellas (FORTH), Greece Nikos Pitropakis, Edinburgh Napier University, UK Joachim Posegga, University of Passau, Germany Konstantinos Rantos, Eastern Macedonia and Thrace Institute of Technology, Greece Michael Rusinowitch, LORIA ? INRIA Nancy, France Pierangela Samarati, University of Milano, Italy Damien Sauveron,University of Limoges, France Daniele Sgandurra, Royal Holloway, UK Angelo Spognardi, Universit? di Roma La Sapienza, Roma, Italy Mark Strembeck, Vienna University of Economics and Business, Vienna Tom Van Goethem, KU Leuven, Belgium Mathy Vanhoef, NYU Abu Dhabi, United Arab Emirates Chan Yeob Yeun, Khalifa University, Abu Dhabi, United Arab Emirates Chia-Mu Yu, National Chung Hsing University, Taiwan We look forwards to receiving your submissions. Kind regards, Darren Hurley-Smith, Ph.D., Publicity Chair Lecturer in Information Security Information Security group Royal Holloway University of London darren.hurley-smith at rhul.ac.uk This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free. -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Tue Jul 7 22:56:56 2020 From: junfeng989 at gmail.com (Jun Feng) Date: Wed, 8 Jul 2020 10:56:56 +0800 Subject: Connectionists: [Submission Deadline: Sep. 1][*9+ Special Issues*] CFP IEEE DependSys 2020: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, Dec. 14-16, Fiji Message-ID: [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (IEEE DependSys 2020), 14-16 December 2020, Fiji [Submission Deadline: Sep. 1][9+ Special Issues] http://cse.stfx.ca/~dependsys/2020/index.html IEEE DependSys 2020 conference is the 6th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2020 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 9+ SCI & EI indexed prestigious journals (confirmed). 1. Information Fusion (IF: 13.669) SI on Fusion from Big Data to Smart Data https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-fusion-from-big-data-to-smart-data 2. Information Fusion (IF: 13.669) SI on Data Fusion for Trust Evaluation https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-data-fusion-for-trust-evaluation 3. IEEE Transactions on Industrial Informatics (IF: 9.112) SI on Digital Twinning: Integration AI-ML and Big Data Analytics for Virtual Representation http://www.ieee-ies.org/images/files/tii/ss/2020/Digital_Twinning_Integrating_AI-ML_and_Big_Data_Analytics_for_Virtual_Representation_2020-4-30.pdf 4. Future Generation Computer Systems (IF: 6.125) SI on Artificial Intelligence for Cyber Defence and Smart Policing https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/artificial-intelligence-for-cyber-defence-and-smart-policing 5. Journal of Cloud Computing (IF: 2.788) SI on Security and Privacy Issues for AI in Edge-Cloud Computing https://journalofcloudcomputing.springeropen.com/securityprivacyaiedgecloud?from=singlemessage 6. Software: Practice and Experience SI on Software and Hardware Co-Design for Sustainable Cyber-Physical Systems https://onlinelibrary.wiley.com/pb-assets/assets/page/journal/1097024x/SI_softandhard.pdf 7. MDPI Electronics (IF: 2.412) SI on Blockchain-based Technology for Mobile Application https://www.mdpi.com/journal/electronics/special_issues/BTMA 8. IEEE/CAA Journal of Automatics Sinica (IF: 5.129) SI on Blockchain for Internet-of-Things and Cyber-Physical Systems: Emerging Trends, Issues and Challenges http://www.ieee-jas.org/news/news_en/9248195c-6d90-4868-9962-263ed9ba12f3_en.htm 9. IEEE Transactions on Network Science and Engineering (IF: 5.213) SI on Computing and Networking for Cyber-Physical-Social Systems https://www.comsoc.org/publications/journals/ieee-tnse/cfp/computing-and-networking-cyber-physical-social-systems * More special issues will be added later. ================== Important Dates ================== Workshop Proposal/Special Session Due: 30 June 2020 Submission Deadline: 1 September 2020 Authors Notification Date: 15 October 2020 Final Manuscript Due: 10 November 2020 Conference Date: 14-16 December 2020 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N27703) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Mohammad Zulkernine, Queen's University, Canada - Aniello Castiglione, University of Naples Parthenope, Italy - Alireza Jolfaei, Macquarie University, Australia Program Chairs - Salimur Choudhury, Lakehead University, Canada - Qinghua Lu, CSIRO, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Fiji, Fiji - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.Qiu-1 at tudelft.nl Wed Jul 8 05:34:20 2020 From: S.Qiu-1 at tudelft.nl (Sihang Qiu - EWI) Date: Wed, 8 Jul 2020 09:34:20 +0000 Subject: Connectionists: Call for Participation - Hypertext 2020 Fair Access Initiative Message-ID: <1810C014-992E-45C7-A614-478B3B2506F4@tudelft.nl> * We apologize for cross-posting * Website: https://projects.cah.ucf.edu/ht2020/hypertext-2020-fair-access-initiative/ The Hypertext 2020 organizing team wants to help ensure broad participation in the conference and so has created the HT 2020 Fair Access Initiative. This initiative is a response to the COVID-19 pandemic and its disruption to daily life and the economies of many countries, especially those considered to be developing countries. The Fair Access Initiative is making available several dozen free registrations to this year?s virtual conference. Applicants may be students, researchers, or professionals, though students in developing countries are especially encouraged to apply. To apply: - Submit a short statement (1-2 paragraphs) explaining your interest in participating in HT 2020 in an email Dr. Ethan Munson (munson at uwm.edu). - Submit evidence of your connection to a university, research laboratory, or relevant IT business. This evidence can be a link to one or more institutional web pages (sent in the email from item #1) or it can be a brief letter or email from a supervisor or advising professor. Again, this evidence should be sent to Dr. Ethan Munson (munson at uwm.edu). Applications should be sent no later than July 12, 2020. From suashdeb at gmail.com Wed Jul 8 09:37:50 2020 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 8 Jul 2020 19:07:50 +0530 Subject: Connectionists: 5th ISMSI21 (Seychelles) Message-ID: Dear Colleagues, Warm greetings. Hope all is well. I am happy to present the website of 5th ISMSI21 http://ismsi.org/index.html Pls. promote the event among your peers and motivate them to submit manuscripts for the conference. Thanks so much & best rgds, Suash -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.wong-lin at ulster.ac.uk Wed Jul 8 17:47:19 2020 From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt) Date: Wed, 8 Jul 2020 21:47:19 +0000 Subject: Connectionists: Fully funded Ph.D. Studentship in Cognitive Computational Neuroscience In-Reply-To: References: Message-ID: Applications are invited for a fully funded 3-year Ph.D. studentship in Cognitive Computational Neuroscience at Ulster University, UK. This Ph.D. project aims to develop computational modelling techniques to understand brain and behavioural data across primate species, and to apply techniques in computational neuroscience particularly biologically based neural network modelling to elucidate the mechanisms underlying abstract decision making. This Ph.D. project is part of an externally funded international collaboration: Prof. Michael Shadlen at Columbia University (USA), Prof. Stephan Bickel at Northwell-Hofstra School of Medicine (USA), Prof. Redmond O'Connell at Trinity College Dublin (Ireland), Prof. Simon Kelly at University College Dublin (Ireland), and Dr. KongFatt Wong-Lin at Ulster University (UK). Some relevant references: (i) O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci. 2018;41(11):838?852. doi:10.1016/j.tins.2018.06.005 (ii) Atiya NAA, Ra?? I, Prasad G, Wong-Lin K. A neural circuit model of decision uncertainty and change-of-mind. Nat Commun. 2019;10(1):2287. doi:10.1038/s41467-019-10316-8 (iii) O'Connell RG, Dockree PM, Kelly SP. A supramodal accumulation-to-bound signal that determines perceptual decisions in humans. Nat Neurosci. 2012;15(12):1729?1735. doi:10.1038/nn.3248 This timely and exciting project is available in the Computer Science Research Institute and is tenable in the Faculty of Computing, Engineering and the Built Environment at Magee Campus. The successful Ph.D. candidate will benefit from the expertise of Ulster?s Cognitive and Computational Neuroscience, Machine Learning, and Computational Biology communities, and will interact closely with experimental collaborators. The student will gain valuable skills and knowledge in computational and mathematical modelling, biological signal processing, machine learning, high-performance computing, mathematics/statistics, and brain sciences. All applicants should hold a first or upper second class honours degree (or equivalent) in Physics, Mathematics, Computer Science, Mathematics, Engineering, Statistics, Neuroscience, Biology, or a cognate area. Applications will be considered on a competitive basis with regard to the candidate?s qualifications, skills, experience and interests. Successful candidates will enrol as of 1st January 2021, on a full-time programme of research studies leading to the award of the degree of Doctor of Philosophy. The Ph.D. studentship will comprise fees together with an annual stipend and will be awarded for a period of up to three years subject to satisfactory progress. Additional financial support may be available from research funding. If you wish to discuss your proposal or receive advice on this project please contact: Dr. KongFatt Wong-Lin, email: k.wong-lin at ulster.ac.uk . Procedure: For more information on applying: https://www.ulster.ac.uk/doctoralcollege Apply online: https://www.ulster.ac.uk/doctoralcollege/find-a-phd?type=funded The closing date for receipt of completed applications is 31st August 2020. Interviews will be held in September 2020, and starting date is on 1st January 2021. ------------------- Dr. KongFatt Wong-Lin Reader Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems Ulster University, 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 malini.vinita.samarasinghe at ini.rub.de Thu Jul 9 08:14:21 2020 From: malini.vinita.samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Thu, 9 Jul 2020 14:14:21 +0200 Subject: Connectionists: Call for papers: GEM 2021 - workshop on generative episodic memory Message-ID: Call For Papers: *GEM 2021**- Generative Episodic Memory: Interdisciplinary perspectives from psychology, neuroscience and philosophy* https://for2812.rub.de/gem2021 16-18 February 2021 /Ruhr University Bochum, Germany/ The DFG-funded research consortium ?FOR 2812 ? Constructing scenarios of the past? https://for2812.rub.de is proud to announce a call for papers for its first workshop on generative episodic memory. Depending on the public health situation in February next year, the workshop will be in-person, virtual or a hybrid event. We invite submissions for talks and posters https://easychair.org/cfp/gem2021. Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is ? at least to a certain degree ? constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary workshop therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. FOR 2812 ?Constructing scenarios of the past: A new framework in episodic memory? consists of 9 researchers. Seven from the Ruhr University Bochum and two from the University of M?nster. The consortium adopts an interdisciplinary approach and investigates generative episodic memory from a conceptual, modeling, and experimental perspective using a common conceptual framework: scenario construction. Keynote Speakers: Karl-Heinz B?uml - University Regensburg, Germany Dorthe Berntsen - Aarhus University, Denmark Amy Criss - University of Syracuse, USA Dorothea Debus - University of Konstanz, Germany David Huber - University of Massachusetts, USA Sarah Robins - University of Kansas, USA Deadlines [GMT +1 (CET)]: Abstract submission - 15.11.2020 Notification of acceptance - 19.12.2020 Submission guidelines: Abstracts must be submitted in English and be no longer than 1 page. Submitted work must be original and unpublished. Abstracts must be submitted electronically through the GEM 2021 paper submission site on EasyChair https://easychair.org/cfp/gem2021. Authors will receive confirmation of receipt of their abstracts including an ID number after submission. You can edit your submission at any time before the deadline. We will consider only the final version. Program committee: Nikolai Axmacher - Faculty of Psychology - Ruhr University Bochum Sen Cheng - Institute for Neural Computation - Ruhr University Bochum Gerald Echterhoff - Faculty of Psychology - University of M?nster Albert Newen - Faculty of Philosophy - Ruhr University Bochum Ricarda Schubotz - Faculty of Psychology - University of M?nster Markus Werning - Faculty of Philosophy - Ruhr University Bochum Laurenz Wiskott - Institute for Neural Computation - Ruhr University Bochum Oliver Wolf - Faculty of Psychology - Ruhr University Bochum All questions regarding the workshop should be emailed to for2812 at rub.de Coordinator - Vinita Samarasinghe Secretary - Christiane Dahl -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Postfachnummer 110 Universit?tstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email: samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Fri Jul 10 01:48:45 2020 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Fri, 10 Jul 2020 05:48:45 +0000 Subject: Connectionists: [jobs] Robotics Researcher Position - Privacy, Security and Safety at Univ. of Oslo, Noway Message-ID: <5648827F-D57B-4AD5-8714-C49542ADD370@ifi.uio.no> [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to potential candidates who might be interested.] One Researcher Position in Reducing Vulnerability Regarding (Healthcare) Robotics The goal of the position is to develop knowledge about and technology for reducing vulnerabilities regarding robotics. The focus will be on privacy, security and safety, particularly in healthcare contexts. The scope will be dependent on the background of the recruited candidate, but with a planned main focus within either robot sensing with regards to privacy, machine ethics for robot security, or motion preferences for robot safety. The position is a part of the Research Council of Norway funded project Vulnerability in the Robot Society (VIROS, 2019-2023) see https://www.jus.uio.no/ifp/english/research/projects/nrccl/viros/index.html ). The project is a cross-disciplinary collaboration between the Department of Private Law and Department of Informatics at the University of Oslo and some other departments and partners. Its aims at developing technology and proposals for regulatory measures to reduce vulnerabilities regarding robotics. Transparent and explainable systems can also be relevant. The technology for sensing, design and control within robotics should be relevant to reducing vulnerabilities within healthcare contexts. The Researcher position will be for a period of three years, but with the possibility of an extension of the employment period if additional external funding becomes available. We have several international collaborators and having a stay of up to 6 months with one of these could be possible. The University of Oslo is Norway?s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Currently (July 2020), there is a low corona pandemic impact in Norway (https://www.nrk.no/korona/status/ translate in Google chrome). Qualifications: Applicants must have a PhD degree or other education equivalent to a Norwegian doctoral degree in computer science including robotics and machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming, robotics and machine learning/artificial intelligence. Moreover, knowledge in the fields of motion tracking and analysis, sensor data analysis, biology-inspired techniques, rapid prototyping, simulation, and behavior modeling would be an advantage. A number of partners are involved in the project so collaboration skills would also be assessed. Pay grade (depending on qualifications and seniority): NOK 523 200 ? 640 200 per year, approx.: ?49,350 ? 60,400 / $56,250 ? 68,840 Announcement: https://www.jobbnorge.no/en/available-jobs/job/185082/researcher-in-reducing-vulnerability-regarding-healthcare-robotics Closing date for applications: 16th August, 2020 Applications are to be submitted through a web page and NOT by e-mail. Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From joerg.luecke at uni-oldenburg.de Fri Jul 10 03:51:51 2020 From: joerg.luecke at uni-oldenburg.de (=?UTF-8?B?SsO2cmcgTMO8Y2tl?=) Date: Fri, 10 Jul 2020 09:51:51 +0200 Subject: Connectionists: Two Research (PhD) Positions in Machine Learning Theory and Applications - Oldenburg University, Germany Message-ID: <857f7b57-342b-4f4e-ab7f-81e2647bf036@uni-oldenburg.de> The Machine Learning Lab at the University of Oldenburg, Germany, is seeking to fill two positions for doctoral researchers Our Machine Learning Lab conducts mathematically grounded research on novel approaches in Machine Learning with a focus on probabilistic generative approaches including deep generative models. Examples are deep variational autoencoders, deep mixture models, and Bayesian networks. Our research projects are conducted in collaboration with leading international labs, and we publish in leading international journals and present on leading conferences. Our interests are in understanding methods and in developing novel approaches to solve difficult problems in Machine Learning. We are interested in problems with strong data corruptions, strong noise and in problems with few data or few labels. Furthermore, we are in general interested in the development of novel approaches that significantly improve learning efficiency (with applications to Big Data). At the same time, we model neural information processing using Machine Learning models in order to understand the nature of biological intelligence. The two positions will both allow for basic research, and they will both allow for applications to data for tasks such as data enhancement (denoising, inpainting, deblurring), unsupervised and semi-supervised learning, super-resolution, outlier detection etc. Part of one position has a focus on addressing such tasks for medical data. Ideal candidates have a strong background in a theoretical subject and/or a high interest in further advancing Machine Learning methods such as variational optimization. Example degrees that qualify for the positions are degrees in Physics, Mathematics, Statistics, in the Data Sciences or degrees of related disciplines. Strong programming skills are a big plus. Candidates have to hold a MSc degree or have to be sufficiently close to obtaining one. Interested researchers are invited to apply for both positions simultaneously (please indicate in the cover letter). This is an informal description of the positions. The only officially relevant descriptions can be found here (please follow the instructions therein): https://uol.de/stellen/?stelle=67425 https://uol.de/stellen/?stelle=67430 Both positions are funded for 2.5 / 3 years with an intention for extensions. Oldenburg is a nice and affordable place to live, and is located within 40mins travel time of the North Sea coast. It is part of the Bremen/Oldenburg metropolitan region of Germany with close cultural and academic links to Dutch cities like Groningen across the German/Dutch border. The application deadline for the positions is July 19, 2020. -- Prof. Dr. J?rg L?cke Leiter Abteilung Machine Learning Department f?r Medizinische Physik und Akustik Fakult?t f?r Medizin und Gesundheitswissenschaften Carl von Ossietzky Universit?t Oldenburg D-26111 Oldenburg www.uol.de/ml From Donald.Adjeroh at mail.wvu.edu Thu Jul 9 16:09:59 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Thu, 9 Jul 2020 20:09:59 +0000 Subject: Connectionists: Postdoc position -- Computer Vision in Digital Health Message-ID: We apologize if you receive multiple copies. Please forward to your colleagues, and others that may be interested. ------------------------------------------------------------------------------------------------ Postdoc position -- Computer Vision in Digital Health The West Virginia-Arkansas Center for Research and Education in Smart Health (WVAR-CRESH) is a key part of a recent large NSF funding to enhance collaboration between researchers in West Virginia and Arkansas on problems in healthcare in the two states. The long term goal of the collaboration is to improve health and well-being by accelerating decision making for smart health applications, through the development and application of advanced artificial intelligence (AI) techniques, exploiting the available massive heterogeneous biomedical datasets. Activities under this collaboration will lead to improved workforce development in leading-edge technology areas of data science, AI, and smart health. (See the website: http://community.wvu.edu/~daadjeroh/projects/cresh/) Applicants are invited for a postdoc position to work with researchers at the center. We are looking for a postdoc with a strong background in computer vision, deep learning, and biomedical image analysis, especially ultrasound images. The center is focused on developing new algorithms and techniques that use advances in AI and machine learning to analyze different types of biomedical data. Emphasis is on cardiovascular health (especially on the analysis of cardiac images, such as echocardiographs, MRI, CT images, etc), health disinformation, and privacy preserving health data analytics. The postdoc will conduct research on one or more of the topics above. Together with the project team members, the postdoc will have the opportunity to determine the specific direction of their research project, depending on their interests. The successful candidate should have a PhD in computer science, electrical engineering, computer engineering, biomedical engineering, physics or other related fields. Expertise in machine learning/deep learning is a requirement, and proficiency in scientific computing using one or more of the major programming languages/environments (python, PyTorch, Matlab, C/C++, or R) is essential. For further information, please contact any of the following: Don Adjeroh, PhD Lane Dept. Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV 26506 Email: donald.adjeroh at mail.wvu.edu http://community.wvu.edu/~daadjeroh/ Gianfranco Doretto, PhD Lane Dept. Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV 26506 gianfranco.doretto at mail.wvu.edu http://vision.csee.wvu.edu/~doretto/ Partho P Sengupta, MD, DM, FACC Abnash C Jain Chair & Professor of Cardiology, Director of Cardiac Imaging, WVU Heart & Vascular Institute, West Virginia University School of Medicine partho.sengupta at hsc.wvu.edu https://directory.hsc.wvu.edu/Profile/47668 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sepand.haghighi at yahoo.com Thu Jul 9 11:07:09 2020 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Thu, 9 Jul 2020 15:07:09 +0000 (UTC) Subject: Connectionists: PyCM 2.8 released: Machine learning library for confusion matrix statistical analysis References: <1295045042.4885542.1594307229561.ref@mail.yahoo.com> Message-ID: <1295045042.4885542.1594307229561@mail.yahoo.com> https://github.com/sepandhaghighi/pycm https://www.pycm.ir http://list.pycm.ir - label_map attribute added?#256?#323 - positions attribute added?#256 - position method added?#256 - Krippendorff's Alpha added?#313 - Aickin's Alpha added?#317 - weighted_alpha method added?#313 - Single class bug fixed?#310 - CLASS_NUMBER_ERROR error type changed to pycmMatrixError - relabel method bug fixed?#323 - Document modified - README modified Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Thu Jul 9 18:11:45 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 10 Jul 2020 00:11:45 +0200 Subject: Connectionists: FedCSIS 2020' Call for POSITION PAPERS; Deadline July 17, 2020; FedCSIS IEEE number: #49059 In-Reply-To: <901bb19e-3122-c85b-7ede-878b793527ab@amu.edu.pl> References: <901bb19e-3122-c85b-7ede-878b793527ab@amu.edu.pl> Message-ID: CALL FOR POSITION PAPERS 15th Conference on Computer Science and Information Systems (FedCSIS?2020) Sofia, Bulgaria, 6-9 September, 2020 www.fedcsis.org Strict submission deadline: July 17, 2020, 23:59:59 pm HST (no extensions) (FedCSIS IEEE conference number: #49059) *********************** COVID-19 Information *************************** Taking into account lack of certainty that it will be possible to organize the conference on-site (in Sofia) in September, we have decided that there is no other way but to organize the conference 100% telepresence/video-based. This decision makes us very sad, but we believe that this is the best one we can make. This decision has consequences. First, the new conference fee has been reduced to 150 euro (for each contributed and accepted paper). Second, since we do not have to deal with local arrangements, we can use the extra time and we have established the new submission deadline. It is now July 17, 2020 for the position papers. We are looking forward to e-meet you. FedCSIS organizers ************************************************************************ The FedCSIS 2020 Federated Conference invites submissions of POSITION PAPERS to its respective events. Position papers must not exceed 8 pages and they should relate to an ongoing research or experience. Position papers will be presented by the authors alongside regular papers. Position papers may be also submitted as DEMO PAPERS and presented as demonstrations of software tools and products. They should describe non-for-profit software tools in a prototype-, alpha-, or beta-version. We invite TWO TYPES OF POSITION PAPERS: - EMERGING RESEARCH PAPERS present preliminary research results from work-in-progress based on sound scientific approach but presenting work not completely validated as yet. They must describe precisely the research problem and its rationale. They must also define the intended future work including the expected benefits from solution to the tackled problem. - CHALLENGE PAPERS propose and describe research challenges in theory or practice of computer science and information systems. The papers in this category must be based on deep understanding of existing research or industrial problems and should be defining new promising research directions. +++ FedCSIS TRACKS AND TECHNICAL SESSIONS The FedCSIS 2020 consists of five conference Tracks, hosting Technical Sessions: Track 1: Artificial Intelligence * Advanced Artificial Intelligence in Applications (15th Symposium AAIA'20) * Advances in Semantic Information Retrieval (9th International Workshop ASIR'20) * Formal Approaches to Vagueness in Relation to Mereology (1st Symposium FVRM'20) * Language Technologies and Applications (5th Workshop LTA'20) * Computational Optimization (13th Workshop WCO'20) Track 2: Computer Science & Systems * Advances in Computer Science & Systems (ACSS'20) * Actors, Agents, Assistants, Avatars (1st Workshop 4A'20) * Computer Aspects of Numerical Algorithms (13th Workshop CANA'20) * Multimedia Applications and Processing (13th Symposium MMAP'20) * Scalable Computing (11th Workshop WSC'20) Track 3: Network Systems and Applications * Advances in Network Systems and Applications (ANSA'20) * Internet of Things - Enablers, Challenges and Applications (4rd Workshop IoT-ECAW'20) * Cyber Security, Privacy and Trust (1st International Forum NEMESIS'20) Track 4: Information Systems and Technologies * Advances in Information Systems and Technologies (AIST'20) * Data Science in Health (DSH'19) (2nd Special Session DSH'20) * Information Systems Management (15th Conference ISM'20) * Knowledge Acquisition and Management (26th Conference KAM'20) Track 5: Software and System Engineering * Advances in Software and System Engineering (ASSE'20) * Cyber-Physical Systems (7th Workshop IWCPS?20) * Lean and Agile Software Development (4th International Conference LASD'20) * Model Driven Approaches in System Development (6th Workshop MDASD'20) * Software Engineering (40th IEEE Workshop SEW?20) Track 6: DS-RAIT'20 - 7th Doctoral Symposium on Recent Advances in Information Technology +++ KEYNOTE SPEAKERS * Christian Blum, Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain Keynote title: Are you a Hybrid? Yes, of course, everyone is a Hybrid nowadays! * George Boustras, European University Cyprus Keynote title: Critical Infrastructure Protection ? on the interface of safety and security * Hans-Georg Fill, University of Fribourg, Switzerland Keynote title: From Digital Transformation to Digital Ubiquity: The Role of Enterprise Modeling +++ POSITION PAPER SUBMISSION AND PUBLICATION: Position papers will be published as a Volume of the Annals of Computer Science and Information Systems series (https://annals-csis.org/), with an ISBN, ISSN and DOI numbers. The papers will be submitted for indexing to DBLP Computer Science Bibliography and Google Scholar. The Annals-CSIS volume will NOT be placed in the IEEE Digital Library and will NOT be submitted to Clarivate Analytics Web of Science. Authors should submit a position paper in English, carefully checked for correct grammar and spelling, using the on-line submission procedure. The guidelines for paper formatting provided at the conference website ought to be used for all submitted papers. The required submission format is the same as the camera-ready format. Please check, and carefully follow, the instructions and templates provided. Papers that are out of the conference scope of the selected event, or that contain any form of (self)plagiarism will be rejected without reviews. All position papers will be refereed before inclusion in the conference program. +++ IMPORTANT DATES + Position paper submission: July 17, 2020 + Author notification: August 1, 2020 + Final paper submission, registration and payment: August 14, 2020 + Conference date: September 6-9, 2020 +++ CHAIRS OF FedCSIS CONFERENCE SERIES Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki +++ CONTACT FedCSIS AT: secretariat at fedcsis.org +++ ABOUT FedCSIS Conference Series FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and information systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions focused on their scientific and professional interests in computer science and information systems. -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From michael.schaub at rwth-aachen.de Thu Jul 9 13:07:06 2020 From: michael.schaub at rwth-aachen.de (Michael Schaub) Date: Thu, 9 Jul 2020 19:07:06 +0200 Subject: Connectionists: Fully funded PhD position in Network Science at RWTH Aachen University Message-ID: <7af3fd7c-b3e6-8101-41cc-3b03b22784c0@rwth-aachen.de> Fully funded PhD position in Network Science at RWTH Aachen University The newly established Computational Network Science group at RWTH Aachen, headed by Michael Schaub, focusses on analyzing complex networks and graph data using a blend of tools from control theory, dynamical systems, stochastic processes, machine learning and statistics. Our research combines ?bottom-up? dynamical models, and ?top-down? data-driven approaches to understand a variety of systems, ranging from social to biological networks. ? [See https://michaelschaub.github.io/? for more information about our research portfolio] ? What we offer Supported by the NRW return program, valued at 1.25 Mio Euro, we are offering a number of PhD positions within the area of 'learning from data on networks with uncertainty'. ? You will do cutting-edge research, present your work at national and international conferences and publish in leading journals and conferences. You may supervise Bachelor and Master students working on related topics and have a limited involvement in teaching. Successful candidates will be employed as a regular employee with a full time position initially for 1 year, with an anticipated extension for 3 or more year, based upon successful completion of the initial period. The starting date is as soon as possible, but later starting dates are negotiable. ? Your profile As an ideal candidate, you will have strong mathematical and analytical skills and a degree in Computer Science or a related discipline such as Statistics, Applied Mathematics, or Operations Research. You have a genuine interest in graph analysis & network science and have good programming and computational skills and you are able to implement and test your ideas with code. You are an ambitious team-player, eager and able to (co-)supervise undergraduate students and take an important role in research projects. You have excellent communicative skills. ? Application procedure Your application should ideally include a brief cover letter, a CV, transcripts, and contact information of at least two referees. Please submit your application documents (as one PDF file) to michael.schaub at rwth-aachen.de using the subject "PhD Position in Network Science". ? Application Deadline: July 31, 2020 (late application may be considered until positions are filled) -------------- next part -------------- An HTML attachment was scrubbed... URL: From luzhou at ksu.edu Thu Jul 9 19:26:10 2020 From: luzhou at ksu.edu (Lu Zhou) Date: Thu, 9 Jul 2020 23:26:10 +0000 Subject: Connectionists: 3nd CfP: WOP2020@ISWC2020 Workshop on Ontology and Semantic Web Patterns Message-ID: Workshop on Ontology and Semantic Web Patterns (11th edition) ? WOP2020 will take place at the 19th International Semantic Web Conference, ISWC2020, in Athens, Greece in November 2020 . WOP2020 will be **virtual**. Workshop Website: Submission deadline (papers and patterns): June 26, 2020 August 10, 2020 3nd Call for Papers --- We invite submissions to the 11th Workshop on Ontology Design and Patterns (WOP2020) to be held in conjunction with the International Semantic Web Conference (ISWC) that will take place in Athens from Nov. 2 to 6, 2020. WOP2020 is a full-day workshop consisting of three parts: paper presentations, a poster session, and an interactive breakout discussion session. The workshop aims to discuss issues of quality in ontology design. In particular, it focuses on the role and use of ontology design patterns (ODPs) for data and knowledge engineering in the Semantic Web, as related to the ontologydesignpatterns.org initiative. The increased attention to ODPs in recent years through their interaction with emerging trends of Semantic Web such as knowledge graphs can be attributed to their benefit for knowledge engineers and Semantic Web developers. Such benefits come in the form of direct link to requirements, reuse, guidance, and better communication. The workshop?s aim is to: 1) provide an arena for discussing patterns, pattern-based ontologies, systems, datasets, and 2) broaden the pattern community by developing its own "discourse" for discussing and describing relevant problems and their solutions. Topics --- We particularly welcome contributions on topics concerning development of high-quality ontologies in general (with or without the help of ODPs) as well as studies and applications of ODPs for knowledge graph construction and maintenance. In addition, as usual we also welcome pattern descriptions of all sorts, including patterns geared towards applications in specific domains such as geosciences, biomedical science, digital humanities, or e-commerce. The main topics of interest are: 1) Use of ontology design patterns for any kind of knowledge engineering, including ? Pattern-based ontology design, conceptual modeling or knowledge engineering broadly ? Use in knowledge graphs or linked data settings (including pattern-driven linking or data publishing) ? Pattern-based information extraction, ontology learning, and relation to NLP ? Use in streaming, ingesting or evolving knowledge ? Use of patterns for ontology evaluation, quality assurance, ontology selection, integration or alignment ? Pattern-based development of semantic applications ? Reasoning with patterns (including automated reasoning, verification, or contextual reasoning) 2) Methods and tools for developing high-quality ontologies (with or without the help of patterns), including ? Ontology engineering by domain experts ? Quality attributes or metrics in ontologies and ontology engineering ? Quality assurance approaches for ontology engineering 3) Development or analysis of ontology design patterns, including ? Pattern extraction ? Analyses of ontology design patterns or their uses ? Antipatterns and their relations to ODPs 4) Development and use of patterns in specific domains, including ? Date lakes, business intelligence, or Big Data integration ? Geosciences, life sciences, engineering, digital humanities, cultural preservation ? IoT, smart homes & cities, smart agriculture ? Semantic technology including social networks, semantic wikis or blogs Submissions --- We invite the submission of original research results related to the focus areas of the workshop, in one of three categories given below. All submissions are requested through EasyChair. 1) Research papers (maximum 15 pages LNCS style) presenting mature work and established results. 2) Short papers (maximum 5 pages LNCS style) presenting proposed research directions, novel ideas, or more general positions or discussions. 3) Ontology Design Patterns (5-12 pages LNCS style) should solve a particular modelling problem, of relevance either to the broader ontology engineering community, or to some specific knowledge domain, in a novel and reusable manner. Note that accepted pattern submissions are presented through a poster session. These must additionally be submitted through the ontologydesignpatterns.org community portal, as described on that page. Submissions should be made via . Detailed instructions can be found at the submission page . Important Dates --- Papers submissions: June 26, 2020 August 10, 2020 Papers notifications: August 3, 2020 September 11, 2020 Camera-ready submissions: September 2, 2020 September 21, 2020 Workshop will be held on: November 2 or 3, 2020 Proceedings --- Accepted research papers and pattern descriptions will be published online as CEUR-Workshop Proceedings. Authors of select papers will be also invited to contribute extended versions to a book to be published by IOS Press. WOP2020 Chairs --- ? Pascal Hitzler, Kansas State University, USA (general chair) ? Torsten Hahmann, University of Maine, USA (papers co-chair) ? Cogan Shimizu, Kansas State University, USA (papers co-chair) ? Raghava Mutharaju, IIIT-Delhi, India (patterns co-chair) ? Monika Solanki, Agrimetrics Ltd., UK (patterns co-chair) ? Lu Zhou, Kansas State University, USA (proceedings chair) For general inquiries, please contact Pascal Hitzler at or Lu Zhou at . -- Lu Zhou Data Semantics Laboratory Department of Computer Science? Kansas State University, Manhattan, KS, USA https://daselab.cs.ksu.edu/people/lu-zhou -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.villavicencio at sheffield.ac.uk Fri Jul 10 14:17:12 2020 From: a.villavicencio at sheffield.ac.uk (Aline Villavicencio) Date: Fri, 10 Jul 2020 19:17:12 +0100 Subject: Connectionists: Post-doctoral position on Machine Learning applied to Natural Language Processing Message-ID: <63D403DA-DF80-4384-B565-7B29022C37B7@sheffield.ac.uk> Postdoctoral Researcher ? Machine Learning applied to Natural Language Processing Application Deadline: 29.07.2020 The University of Sheffield invites applications for a three-year full-time postdoctoral researcher in Machine Learning applied to Natural Language Processing. The position is part of the EPSRC project on MIA: Modeling Idiomaticity in Human and Artificial Language Processing, a collaboration led by Prof. Aline Villavicencio, Dr. Carolina Scarton, and Prof. Anna Korhonen. We are looking to make an appointment as soon as possible with a deadline for September 2020 (or as soon as possible thereafter). The initial appointment will be until August 2021, with an extension until at least August 2023. The position is remunerated according to Grade 7 pay scale: ?31,866 - ?40,322 per annum (with the potential to progress to ?44,045 per annum, according to experience). The responsibility of the postdoctoral researcher is to research strategies for more transparent machine learning models to generate accurate cross-lingual representations for idiomatic language, as well as to contribute to the design and development of resources and evaluation of downstream tasks, like machine translation. The researcher will also be required to collaborate with the University of Cambridge (UK) and the Aix Marseille University (France), partners in this project (there is funding available for short visits to these institutions). Furthermore, The ideal candidate will have: - A PhD in Machine Learning/Natural Language Processing or related field; - A strong publication record commensurate with career stage; - Expertise in machine learning (applied to NLP), with experience in the analysis and development of classical and deep learning models; - Experience in using libraries for NLP and deep learning, such as Tensorflow and Keras; - Experience in data annotation, data collection, and creating new benchmark datasets for evaluation; - A willingness to further improve methods skills and to transfer knowledge to doctoral researchers and student assistants. Expertise in at least one of the following areas is advantageous but not required: - Track record in ML/NLP methods for developing word embedding models; - Knowledge of machine translation models. MIA project: MIA is part of the EPSRC call for Responsible NLP for Intelligent Interfaces. In MIA, we will develop idiomatically-aware word/phrase representation models with the ability to process idiomatic (non-literal) language, by incorporating clues that are linguistically-motivated and cognitively-inspired by human processing data. Equipping natural language processing (NLP) models with the ability to process idiomatic expressions is important for obtaining more accurate representations that can lead to gains in downstream tasks, such as machine translation (MT) and text simplification (TS). MIA targets a crucial limitation in standard NLP models, as idiomaticity is part of human communication, with potential benefits to applications that include natural language interfaces, like conversational agents, question answering and information retrieval systems. Host institution: The project is hosted by the Department of Computer Science at the University of Sheffield, a leading international center for research in the UK. We are ranked in the top five for research excellence as part of the 2014 Research Excellence Framework, with 92% of our research outputs being world-leading or internationally-excellent. Our research environment is the best in the country (as measured by the 4* and 3* REF environment score). The NLP and Speech and Hearing groups have over 60 academics, maintaining an active program of seminars, with exceptional facilities for research, and ample opportunities for collaboration. It is one of the largest and most successful NLP groups in Europe, with multiple worldwide collaborations. Sheffield is a vibrant city with a rich cultural life, with a large number of parks and the Peak District just nearby, perfect for outdoor activities and a high quality of life. Applications must be submitted using the University of Sheffield system. More information can be found here: https://www.jobs.ac.uk/job/CAN635/research-associate-in-machine-learning-for-natural-language-processing-nlp The University of Sheffield is an equal opportunity employer. Applicants from underrepresented minorities are highly encouraged to apply. Remote working arrangements will be discussed upon request. The Department of Computer Science holds a Silver Athena SWAN award, in recognition of our commitment to equality and diversity. Application Deadline: 29.07.2020 For informal enquiries about this job and the recruiting department, contact: Professor Aline Villavicencio on a.villavicencio at sheffield.ac.uk . For administration queries and details on the application process, contact the lead recruiter: Marianne Lewis on com-researchrecruitment at sheffield.ac.uk . For all online application system queries and support, visit: www.sheffield.ac.uk/jobs/applying -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonghyun.harry.lee at hawaii.edu Fri Jul 10 14:16:25 2020 From: jonghyun.harry.lee at hawaii.edu (Jonghyun Harry Lee) Date: Fri, 10 Jul 2020 08:16:25 -1000 Subject: Connectionists: CfP: AAAI 2020 Fall Symposium on Physics-guided AI Message-ID: Dear Colleagues, We are organizing a symposium on ?*Physics-guided AI to Accelerate Scientific Discovery*? at the AAAI Fall Symposium Series to be held from November 11 to 14, 2020 and very much welcome your participation in this symposium. The goal of this symposium is to nurture the community of researchers working at the intersection of AI and scientific areas and shape the vision of the rapidly growing field of physics-guided AI, which aims to systematize the integration of scientific knowledge with AI to produce generalizable and physically consistent or meaningful solutions. We encourage participation on topics that explore any form of synergy between scientific principles and AI methods in any interdisciplinary domain of science and engineering. Examples of relevant topics include (but are not limited to): - Use of physical constraints or priors in supervised and unsupervised AI methods, - Approaches to encode scientific knowledge in deep learning architectures, - Physics-guided generative and reinforcement learning methods, - Discovery of physically interpretable laws from data, - Hybrid constructions of physics-based and machine learning models, - Architectural and algorithmic improvements enabled by AI in scientific computing, - Software development facilitating the inclusion of physics in AI, and - Use of AI to calibrate parameters and system states in scientific models. We are currently accepting paper submissions for position, review, or research articles in two formats: (i) *short papers* (2-4 pages) and (ii) *full papers* (6-8 pages). Extended versions of articles in submission at other venues are acceptable as long as they do not violate the dual-submission policy of the other venue. We also encourage early drafts of on-going research with preliminary insights/results that contribute to the symposium agenda. All submissions will undergo peer review and authors will have the option to publish their work in an open access proceedings site. Submissions should be formatted according to the AAAI template (see https://www.aaai.org/Publications/Templates/AuthorKit20.zip) and submitted via EasyChair (https://easychair.org/my/conference?conf=fss20). More details and regular updates about our symposium can be found at our supplemental website: https://sites.google.com/vt.edu/pgai-aaai-20 Here are some key dates for our symposium: *August 21, 11:59 PM Pacific Time: Paper submissions due* September 7: Acceptance/rejection letters sent to participants September 17: Registration Deadline September 25, 11:59 PM Pacific Time: Camera-ready papers due We look forward to your participation! Please feel free to contact us if you have any questions and circulate this CFP in your network. Thank you, Anuj Karpatne (Virginia Tech) Ramakrishnan Kannan (ORNL) Yan Liu (USC) Jonghyun 'Harry' Lee (University of Hawaii at Manoa) Vipin Kumar (University of Minnesota) -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Fri Jul 10 12:07:02 2020 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Fri, 10 Jul 2020 16:07:02 +0000 Subject: Connectionists: [jobs] Robotics Researcher Position - Privacy, Security and Safety at Univ. of Oslo, Norway Message-ID: [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to potential candidates who might be interested.] One Researcher Position in Reducing Vulnerability Regarding (Healthcare) Robotics The goal of the position is to develop knowledge about and technology for reducing vulnerabilities regarding robotics. The focus will be on privacy, security and safety, particularly in healthcare contexts. The scope will be dependent on the background of the recruited candidate, but with a planned main focus within either robot sensing with regards to privacy, machine ethics for robot security, or motion preferences for robot safety. The position is a part of the Research Council of Norway funded project Vulnerability in the Robot Society (VIROS, 2019-2023) see https://www.jus.uio.no/ifp/english/research/projects/nrccl/viros/index.html ). The project is a cross-disciplinary collaboration between the Department of Private Law and Department of Informatics at the University of Oslo and some other departments and partners. Its aims at developing technology and proposals for regulatory measures to reduce vulnerabilities regarding robotics. Transparent and explainable systems can also be relevant. The technology for sensing, design and control within robotics should be relevant to reducing vulnerabilities within healthcare contexts. The Researcher position will be for a period of three years, but with the possibility of an extension of the employment period if additional external funding becomes available. We have several international collaborators and having a stay of up to 6 months with one of these could be possible. The University of Oslo is Norway?s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Currently (July 2020), there is a low corona pandemic impact in Norway (https://www.fhi.no/en/id/infectious-diseases/coronavirus/daily-reports/daily-reports-COVID19/). Qualifications: Applicants must have a PhD degree or other education equivalent to a Norwegian doctoral degree in computer science including robotics and machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming, robotics and machine learning/artificial intelligence. Moreover, knowledge in the fields of motion tracking and analysis, sensor data analysis, biology-inspired techniques, rapid prototyping, simulation, and behavior modeling would be an advantage. A number of partners are involved in the project so collaboration skills would also be assessed. Pay grade (depending on qualifications and seniority): NOK 523 200 ? 640 200 per year, approx.: ?49,350 ? 60,400 / $56,250 ? 68,840 Announcement: https://www.jobbnorge.no/en/available-jobs/job/190449/researcher-in-reducing-vulnerability-regarding-healthcare-robotics Closing date for applications: 16th August, 2020 Applications are to be submitted through a web page and NOT by e-mail. Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at pdx.edu Sun Jul 12 13:08:14 2020 From: mm at pdx.edu (Melanie Mitchell) Date: Sun, 12 Jul 2020 11:08:14 -0600 Subject: Connectionists: AAAI 2020 Fall Symposium on Conceptual Abstraction and Analogy Message-ID: Call for participation in the AAAI 2020 Fall Symposium on Conceptual Abstraction and Analogy in Natural and Artificial Intelligence. Organized by Melanie Mitchell (Santa Fe Institute), Fran?ois Chollet (Google), and Kevin Ellis (MIT). See https://sites.google.com/pdx.edu/abstractionfall2020 for more information and submission information. Short description: Current AI systems largely lack the abilities to form humanlike concepts and abstractions. Understanding what concepts are?how they are formed, can be abstracted and flexibly used in diverse situations via analogy, how they compose to produce new concepts?is not only key to a deeper understanding of intelligence, but will be essential for engineering non-brittle AI systems, ones that can robustly adapt their knowledge to diverse situations and modalities. Such an understanding will require collaboration among AI researchers and cognitive scientists studying the nature and development of concepts from different perspectives. This symposium will bring together leading researchers across disciplines to discuss the mechanisms underlying concepts, abstraction, and analogy in natural and artificial intelligence. Important Dates: - Submissions due: August 7 - Notifications of acceptance sent by organizers: August 21 - Final papers due: September 25 - Registration deadline: September 17 For more information, go to https://sites.google.com/pdx.edu/abstractionfall2020 or contact mm at pdx.edu. -------------- next part -------------- An HTML attachment was scrubbed... URL: From francisco.pereira at gmail.com Sun Jul 12 16:14:55 2020 From: francisco.pereira at gmail.com (Francisco Pereira) Date: Sun, 12 Jul 2020 16:14:55 -0400 Subject: Connectionists: job post: machine learning research scientist at NIMH Message-ID: *** HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the lead federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). *** About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address a diverse set of research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of GPUs for deep learning) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and publications at https://cmn.nimh.nih.gov/mlt *** About the position We are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Desirable experience that is not required, but will be considered very favorably: - neuroimaging data processing and analysis (any MRI modality, as well as MEG and EEG) - other types of neural data (e.g. neural recording, calcium imaging) - modelling of human and animal learning and decision-making - Bayesian statistical modelling Finally, you should have demonstrable experience coding in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. Experience with handling large datasets in high performance computing settings is also very valuable. Although this position requires a Ph.D. in a STEM discipline, we will consider applicants from a variety of backgrounds, as their research experience is the most important factor. This is an ideal position for someone who wants to establish a research career in method development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests. If you would like to be considered for this position, please send francisco.pereira at nih.gov a CV, with your email serving as cover letter. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest! From ioannakoroni at csd.auth.gr Mon Jul 13 05:41:54 2020 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 13 Jul 2020 12:41:54 +0300 Subject: Connectionists: CORRECTED VERSION: Invitation for the 2020 Summer e-School on Autonomous Systems, 17-21th August 2020, Aristotle University of Thessaloniki, Thessaloniki, Greece Message-ID: Dear Autonomous Systems (cars, drones) engineers, scientists, and enthusiasts, you are welcomed to register to the 2020 Summer e-School on Autonomous Systems having focus on autonomous drones, cars and marine vessels: http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2020/ It will take place on 17-21/8/2020 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The summer e-school consists of two short e-courses: a) 'Short e-course on Deep Learning and Computer Vision for Autonomous Systems 2020', 17-18th August 2020: http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/ b) 'Programming short e-course and workshop on Deep Learning and Computer Vision for Autonomous Systems', 19-21th August 2020: http://icarus.csd.auth.gr/autonomous-systems-2020/ You can follow the above-mentioned links for registration on either or both e-courses. For questions, please contact: Ioanna Koroni > The first e-course contains 16 live (and recorded) lectures providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous drones, cars and marine vessels. The second programming short e-course and workshop offers a mix of live (and recorded) lectures and programming workshops (hands-on lab exercises) and aims at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on drone planning/control and imaging. Both short e-courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is AUTH prime investigation for H2020 project AerialCore, Coordinator of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece and Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018). Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally. Relevant links: 1. European Horizon2020 R&D projects Aerial-Core: https://aerial-core.eu/, Multidrone: https://multidrone.eu/, AI4Media: https://ai4media.eu/ 2. AIIA Lab: http://www.aiia.csd.auth.gr/ 3. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el Course descriptions a) 'Short e-course on Deep Learning and Computer Vision for Autonomous Systems 2020', 17-18th August 2020. http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/ Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Introduction in computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Introduction to neural networks. Perceptron, backpropagation 6. Deep neural networks. Convolutional NNs 7. Introduction to multiple drone imaging 8. Drone mission planning and control Part B (8 hours) Deep learning topic list 1. Localization and mapping 2. Deep learning for object/target detection 3. Object tracking and 3D target localization 4. Parallel GPU and multicore CPU programming. GPU programming 5. Fast convolution algorithms 6. Drone cinematography 7. Introduction to car vision 8. Introduction to autonomous marine vehicles b) 'Programming short e-course and workshop on Deep Learning and Computer Vision for Autonomous Systems', 19-21th August 2020. http://icarus.csd.auth.gr/autonomous-systems-2020/ Part A (8 hours), Deep learning sample topic list 1. Deep neural networks. Convolutional NNs 2. Deep learning for target detection 3. PyTorch basics 4. Target detection with PyTorch 5. Object oriented Tensorflow in Google Colab Part B (8 hours), Computer vision sample topic list 6. 2D target tracking 7. Parallel GPU and multi-core CPU architectures . GPU programming 8. CUDA programming 9. OpenCV programming for object tracking 10. Drone mission simulations Part C (8 hours), Drone planning/control sample topic list 11. Drone mission planning and control 12. Drones with ROS and Gazebo simulations 13. Sincerely yours Prof. I. Pitas -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Tue Jul 14 01:15:46 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 14 Jul 2020 05:15:46 +0000 Subject: Connectionists: Fwd: Summer School on AI & Smart Health -- one week to go; updated info on website In-Reply-To: References: Message-ID: We apologize if you receive multiple copies. As part of the NSF Track-2 project on "Multi-Scale Integrative Approach to Digital Health: Collaborative Research and Education in Smart Health in West Virginia and Arkansas" (http://community.wvu.edu/~daadjeroh/projects/cresh/ ) we would like to announce a Summer School on Artificial Intelligence & Smart Health. The summer school will be from July 20 - 21, 2020. This will be held remotely as a virtual summer school. Please visit the website: http://community.wvu.edu/~daadjeroh/projects/cresh/activity/summersch2020/ for more information on the summer school, and to register. Please help us to forward this to students, colleagues, and others that may be interested. Regards, Don Adjeroh, PhD Professor and Associate Chair Graduate Coordinator of Computer Science West Virginia University Morgantown, WV 26506 http://community.wvu.edu/~daadjeroh/ Tel: 304-293-9681 Fax: 304-293-8602 -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Tue Jul 14 02:04:47 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Tue, 14 Jul 2020 08:04:47 +0200 Subject: Connectionists: [CfP-Extended Deadline] ICLP DC 2020 - 16th Doctoral Consortium (DC) on Logic Programming Message-ID: <69162536-5a6a-57d5-f8e8-bdcfbea5d2d6@uniss.it> *** ICLP DC 2020 - 16th Doctoral Consortium (DC) on Logic Programming Extended Deadline: July 18, 2020! *** The deadline for applying for the ICLP Doctoral Consortium has been prolonged by one week; you now have until July 18th to submit your application! We would like to stress that despite COVID and the virtual nature of the event, our goal is to provide ample opportunity for networking and contact with fellow students and experts. *** The 16th Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. The preliminary website of the DC can be found at: https://sites.google.com/view/iclp-dc-2020/iclp-2020-doctoral-consortium The DC will take place during the 36th International Conference on Logic Programming (ICLP) https://iclp2020.unical.it/ (September 18-24, 2020), hosted by the University of Calabria, Italy, as a fully virtual event. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. We aim to find sponsoring to cover the registration cost of students participating in the DC, but this still has to be confirmed. Important Dates Paper submission: July 18, 2020 (extended) Notification: July 30, 2020 Camera-ready copy: August 6, 2020 DC presentations: Sunday, September 20, 2020 (fully virtual event) However, DC students are highly recommended to attend the Autumn School on Logic Programming and Constraint Programming on: Friday and Saturday, September 18-19, 2020: https://sites.google.com/view/iclp-dc-2020/autumn-school-on-logic-programming Audience The DC is designed for students currently enrolled in a Ph.D. program, though we are also open to exceptions (e.g., students currently in a Master's program and interested in doctoral studies). Students at any stage in their doctoral studies are encouraged to apply for participation in the DC. Applicants are expected to conduct research in areas related to logic and constraint programming; topics of interest include (but are not limited to): Theoretical Foundations of Logic and Constraint Logic Programming Sequential and Parallel Implementation Technology Static and Dynamic Analysis, Abstract Interpretation, Compilation Technology, Verification Logic-based Paradigms (e.g., Answer Set Programming, Concurrent Logic Programming, Inductive Logic Programming) Innovative Applications of Logic Programming Submissions by students who have presented their work at previous ICLP DC editions are allowed, but should occur only if there are substantial changes or improvements to the student's work. The DC offers participants a convenient, more informal way to interact with established researchers and fellow students, through presentations, question-answer sessions, panel discussions, and invited presentations. The Doctoral Consortium will also provide the possibility to reflect - through short activities, information sessions, and discussions - on the process and lessons of research and life in academia. Each participant will give a short, critiqued, research presentation. Discussants Renowned experts and researchers in the fields of logic and constraint programming will join in evaluating submissions and will participate in the DC, providing valuable feedback to DC participants. Goals To provide doctoral students working in the fields of logic and constraint programming with a friendly and open forum to present their research ideas, listen to ongoing work from peer students, and receive constructive feedback. To provide students with relevant information about important issues for doctoral candidates and future academics. To develop a supportive community of scholars and a spirit of collaborative research. To support a new generation of researchers with information and advice on academic, research, industrial, and non-traditional career paths. Submission Details The DC is designed for students currently enrolled in a Ph.D. program, however Master's students who are actively involved in research (please see the list of topics below) can also participate in the DC program. Applicants are expected to conduct research in areas related to logic and constraint programming. Topics included, but not limited to: Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. Languages: Concurrency, Objects, Coordination, Mobility, Higher Order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming Techniques. Declarative programming: Declarative program development, Analysis, Type and mode inference, Partial evaluation, Abstract interpretation, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. Implementation: Virtual machines, Compilation, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. Related Paradigms and Synergies: Inductive and Co-inductive Logic Programming, Constraint Logic Programming, Answer Set Programming, Interaction with SAT, SMT and CSP solvers, Logic programming techniques for type inference and theorem proving, Argumentation, Probabilistic Logic Programming, Relations to object-oriented and Functional programming. Applications: Databases, Big Data, Data integration and federation, Software engineering, Natural language processing, Web and Semantic Web, Agents, Artificial intelligence, Computational life sciences, Education, Cybersecurity, and Robotics. Submissions of the research summary must be made in EPTCS format (http://info.eptcs.org/) and submitted via EasyChair. All papers must be written in English and should be between 5 and 10 pages. For all accepted DC papers, the student is required to attend the DC program and give a presentation during the DC. A program committee consisting of experts in various areas related to logic and constraint programming reviews the submissions. Papers are reviewed by at least two, and usually three, referees. The submission package should consist of the research summary in the format mentioned above, a short vita or cover letter of the applicant, a letter of recommendation from applicant's faculty advisor, and one paragraph statement outlining how the school will benefit the applicant. All material is to be submitted electronically, in PDF format on the Easychair system. Easychair link: https://easychair.org/conferences/?conf=iclp20200 (Doctoral Consortium track) Research summary (make sure to include your complete name, address, and affiliation): The body of your research summary (no more than 10 pages, but 5 is fine as well!) should provide a clear overview of your research, its potential impact, and its current status. You are encouraged to include the following sections: Introduction and problem description Background and overview of the existing literature Goal of the research Current status of the research Preliminary results accomplished (if any) Open issues and expected achievements Bibliographical references Review Criteria The DC program committee will select participants based on their anticipated contribution to the DC objectives. Participants typically have settled on their thesis directions and have their research proposal accepted by their thesis committee. Students will be selected based on clarity and completeness of their submission package, relevance of their research area w.r.t. the focus of ICLP, stage of research, recommendation letter, and evidence of promise towards a successful career in research and academia, such as published papers or technical reports. Registration Registration is part of the ICLP 2020 registration. Registration costs for ICLP will be lower than usual since it is virtual this year. We aim to find sponsoring to cover the registration cost of students participating in the DC, but this still has to be confirmed. Program co-chairs Bart Bogaerts, Vrije Universiteit Brussel Daniela Inclezan, Miami University Program Committee Carmine Dodaro, University of Calabria Jorge Fandinno, Potsdam University Fabio Fioravanti, University of Chieti-Pescara Paul Fodor, Stony Brook University Martin Gebser, University of Klagenfurt Jose F. Morales, IMDEA Software Research Institute Zeynep G. Saribatur, Vienna University of Technology Frank Valencia, LIX, Ecole Polytechnique -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From h.dibeklioglu at gmail.com Mon Jul 13 16:42:49 2020 From: h.dibeklioglu at gmail.com (Hamdi Dibeklioglu) Date: Mon, 13 Jul 2020 23:42:49 +0300 Subject: Connectionists: CFP: ICMI 2020 Workshop on Multimodal Interaction in Psychopathology Message-ID: *ICMI 2020 Workshop on Multimodal Interaction in Psychopathology* https://sites.google.com/view/mi-psychopathology *Dates:*- Paper submission deadline: August 7, 2020 - Notification to authors: September 7, 2020 - Camera ready deadline: September 15, 2020 - Workshop date: October 25 or 29, 2020 (virtual) *Call for Papers:*Millions of people worldwide are affected by mental disorders that span depression, bipolar disorder, obsessive-compulsive disorder, schizophrenia, and dementia. Reliable assessment, monitoring, and evaluation are important to identify individuals in need of treatment, evaluate treatment response, and achieve remission or moderate impact. Many indicators of presence or severity of mental disorders are observable. Indicators include psychomotor agitation (inability to sit still, pacing, hand wringing) or retardation (slowed speech and body movements, speech that is decreased in volume or vocal quality), changes in facial expression, gaze, body movements, and cognition. Attempts at diagnosis, screening and evaluation of treatment response from behavioral indicators have focused primarily on the individual alone and individual modalities. Yet, disorders strongly impact social interaction and relationships in family members, work settings, and on social media and are multimodal as well as interpersonal. For these reasons, it is critical to use multimodal indicators in a variety of interpersonal contexts. The proposed Multimodal Interaction in Psychopathology workshop aims to bring together computer scientists, psychologists, behavioral scientists, neuroscientists, and clinicians with a focus on multimodal interaction in psychopathology. This workshop will provide an opportunity to present recent advancements for diagnosis and treatment of mental disorders, to share knowledge, and generate interdisciplinary networking and collaborations. We are soliciting original contributions that address advancements and challenges in multimodal interaction in psychopathology including but not limited to the following topics: - Assessment of psychopathology (detection of depression, obsessive-compulsive disorder, dementia, autism, suicidal ideation or behavior, and other conditions) - Monitoring psychopathology - Evaluation of treatment response - Interpersonal indicators and mechanisms - Patient-clinician interaction - Family interaction - Group therapy - Human interaction on social media (e.g., detection of early signals of psychopathology, suicidal behavior) - Multimodal behavioral indicators of psychopathology occurrence and severity, especially those concerned with change over time - Face and gesture analysis - Speech and language processing - Wearable sensors for monitoring psychopathology *Paper Submission:*We invite submissions of long papers (up to 8 pages not including references), short papers (up to 4 pages not including references) and abstracts (1 page not including references) formatted according to ICMI guidelines. Papers and abstracts should be submitted through: https://easychair.org/conferences/?conf=mipsychopathology20 *Organizers:*Itir Onal Ertugrul, Carnegie Mellon University Jeffrey F. Cohn, University of Pittsburgh Hamdi Dibeklioglu, Bilkent University -- Dr. Hamdi Dibeklioglu Assistant Professor Department of Computer Engineering Bilkent University 06800 Ankara, Turkey http://www.cs.bilkent.edu.tr/~dibeklioglu -------------- next part -------------- An HTML attachment was scrubbed... URL: From abby at ldv.co Mon Jul 13 15:02:41 2020 From: abby at ldv.co (Abby Hunter-Syed) Date: Mon, 13 Jul 2020 15:02:41 -0400 Subject: Connectionists: Free, Virtual Event - Visual Technologies Revolutionizing Food + Ag July 29 Message-ID: *Visual Tech Revolutionizing Food + Ag , July 29 Free, Virtual Event:* To safely feed our growing population while the coronavirus pandemic rages, global warming accelerates, supply chains get strained and the global economy nose dives, we need visual tech solutions. Join LDV Capital, John Deere and more to discuss how cameras, sensors and other visual technologies will impact the future of food and generate business opportunities. Learn more and register now! -- *Abby Hunter-Syed* *VP of Operations* *LDV Capital * -- *Abby Hunter-Syed* *VP of Operations* *LDV Capital * -------------- next part -------------- An HTML attachment was scrubbed... URL: From fateme.khatami at gmail.com Tue Jul 14 00:36:17 2020 From: fateme.khatami at gmail.com (Fateme Khatami) Date: Mon, 13 Jul 2020 21:36:17 -0700 Subject: Connectionists: New publication at Pols Computational Biology:Spiking network optimized for word recognition in noise predicts auditory system hierarchy Message-ID: Dear Colleagues, We would like to introduce you to our recent publication "Spiking network optimized for word recognition in noise predicts auditory system hierarchy", on Plos Computational Biology. In this research, we talked about the brain?s ability to recognize sounds in the presence of competing sounds or background noise . How the brain accomplishes noise resiliency, however, is poorly understood. Using neural recordings from the ascending auditory pathway and an auditory spiking network model trained for sound recognition in noise we explore the computational strategies that enable noise robustness. Our results suggest that the hierarchical feature organization of the ascending auditory pathway and the resulting computations are critical for sound recognition in the presence of noise. Please find the article in below link: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007558 Best Regards, -- Fatemeh Khatami -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.schaub at rwth-aachen.de Tue Jul 14 03:32:21 2020 From: michael.schaub at rwth-aachen.de (Michael Schaub) Date: Tue, 14 Jul 2020 09:32:21 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2020 Madrid Spain December 1-3, 2020 Message-ID: /_*COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions in many countries, COMPLEX NETWORKS 2020 is planned fully online. Registration fees will be adjusted accordingly_//. (//_Apologies for any cross posting)_/ /?/ */Ninth/*/*International Conference on Complex Networks & Their Applications*/ /Madrid, Spain December 1- 3, 2020/ http://www.complexnetworks.org __ ? You are cordially invited to submit your contribution until September 02, 2020. *Speakers * ??????? Leman Akogu Carnegie Mellon University, USA ??????? Stefano Boccaletti ISC CNR, Italy ??????? Fosca Giannotti KDD Lab Pisa, Italy ??????? J?nos Kert?sz Central European University Hungary ??????? Vito Latora Queen Mary, University of London UK ??????? Alex ?Sandy? Pentland MIT Media Lab, USA ??????? Nata?a Pr?ulj Barcelona Supercomputing Center Spain ? *Tutorials**?(**November 30, 2020**)* ??????? David Garcia Complexity Science Hub Vienna Austria ??????? Mikko Kivel? Aalto University Finland *Conference publications* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome*.* ??????? *Papers *will be included in the conference *proceedings edited by Springer* ??????? *Extended abstracts*will be published in the *Book of Abstracts (with ISBN)* ? *Post-conference publications* Extended versions of unpublished contributions (papers & abstracts) will be invited for publication in *special issues of international journals:*** o?? Applied Network Science edited by Springer o?? Complex Systems? __ o?? Computational Social Networks edited by Springer o?? Frontiers in Big Data__ o?? Network Science edited by Cambridge University Press o?? PLOS one o?? Social Network Analysis and Mining edited by Springer ? *Topics * include, but are not limited to** o?? Models of Complex Networks o?? Structural Network Properties and Analysis o?? Complex Networks and Epidemics o?? Community Structure in Networks o?? Community Discovery in Complex Networks o?? Motif Discovery in Complex Networks o?? Network Mining o?? Network embedding methods o?? Machine learning with graphs o?? Dynamics and Evolution Patterns of Complex Networks o?? Link Prediction o?? Multilayer Networks o?? Network Controllability o?? Synchronization in Networks o?? Visual Representation of Complex Networks o?? Large-scale Graph Analytics o?? Social Reputation, Influence, and Trust o?? Information Spreading in Social Media o?? Rumour and Viral Marketing in Social Networks o?? Recommendation Systems and Complex Networks o?? Financial and Economic Networks o?? Complex Networks and Mobility o?? Biological and Technological Networks o?? Mobile call Networks o?? Bioinformatics and Earth Sciences Applications o?? Resilience and Robustness of Complex Networks o?? Complex Networks for Physical Infrastructures o?? Complex Networks, Smart Cities and Smart Grids o?? Political networks o?? Supply chain networks o?? Complex networks and information systems o?? Complex networks and CPS/IoT o?? Graph signal processing o?? Cognitive Network Science o?? Network Medicine o?? Network Neuroscience o?? Quantifying success through network analysis o?? Temporal and spatial networks o?? Historical Networks *?* *General Chairs* Rosa Maria Benito /Universidad Politecnica de Madrid, Spain/ Hocine Cherifi /University of Burgundy, France/ Esteban Moro /Universidad Carlos III de Madrid, Spain/ /?/ *Program Chairs* Chantal Cherifi /University of Lyon, France/ Luis M. Rocha /Indiana University, USA/ Marta Sales-Pardo /Universitat Rovira i Virgili, Spain/ ? ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From aletzil10 at gmail.com Tue Jul 14 09:49:36 2020 From: aletzil10 at gmail.com (Alexandra Tzilivaki) Date: Tue, 14 Jul 2020 16:49:36 +0300 Subject: Connectionists: CNS-2020 Workshop on modelling interneurons function during memory Message-ID: Dear colleagues, It is our great pleasure to announce our upcoming CNS 2020 workshop entitled: "Dissecting the role of interneurons in mnemonic functions using computational modelling approaches." Invited Speakers: 1) Prof. Roger D Traub (IBM Research Center USA) 2) Prof. Frances Skinner (Krembil Research Institute, Canada) 3) Prof. Wilten Nicola (Hotchkiss Brain Institute, University of Calgary, Canada) 4) Prof. Tim Vogels ( IST Austria, Oxford University UK) 5) Dr. Jiannis Taxidis (UCLA, USA) Date: July 21st, 5-9 pm (CEST Berlin time) Location: CNS 2020 Crowdcast platform Organizers: Alexandra Tzilivaki (Chair) Charite Medical School Berlin, Einstein Center of Neurosciences Berlin, IMBB FORTH Dr. Spiros Chavlis (co-organizer) IMBB FORTH Please note that registration to the main meeting is free but required! For info, please see: https://www.cnsorg.org/cns-2020-quick For more information please visit our workshop website https://spiroschv.github.io/ or email me at aletzil10 at gmail.com / alexandra.tzilivaki at charite.de Looking forward to welcoming you all. On behalf of the organizers, Alexandra Tzilivaki. -------------------------------------------------------------------------------- Alexandra Tzilivaki, MSc PhD candidate Einstein Center for Neurosciences Berlin (ECN) https://www.ecn-berlin.de/fellows.html Schmitz Lab https://schmitz.neurocure.de/ Charite Medical School Berlin Charit?platz 1, 10117 Berlin, Germany -- Foundation for Research and Technology Hellas (FORTH) Institute of Molecular Biology and Biotechnology (IMBB) Poirazi Lab http://dendrites.gr/ Nikolaou Plastira 70013 Heraklion Greece Tel +30 2810 391243 ----------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From jean-marc.odobez at epfl.ch Tue Jul 14 09:47:53 2020 From: jean-marc.odobez at epfl.ch (Jean-Marc Odobez) Date: Tue, 14 Jul 2020 15:47:53 +0200 Subject: Connectionists: [jobs] Idiap/EPFL (Switzerland): 1 PhD positions in perception for gesture and activity recognition Message-ID: <4C31ABA3-5AF8-4555-9DA5-4A86FA9EE295@epfl.ch> The Perception and Activity Understanding group (Jean-Marc Odobez, http://www.idiap.ch/~odobez/ ) seeks one PhD candidate for a Swiss NSF funded project aiming to study robot skills acquisition through active learning and social interaction strategies (ROSALIS). The PhD candidate will work on the multimodal perception of persons and objects, and in particular on gesture analysis, with tasks going from the accurate estimation and tracking of upper-body pose or hands, the contextual recognition of gestures from RGB-Depth data, their temporal segmentation, and the exploitation of different cues like gaze or speech. Experiments on standard datasets from the computer vision and multimodal domains is expected. Collection of project specific data might also be envisioned. The ideal PhD candidate should hold a MS degree in computer science, engineering, physics or applied mathematics. S/he should have a good background in statistics, linear algebra, signal processing and programming, machine learning. Experience in computer vision and deep learning are definitely a plus. The successful applicant will have good analytical skills, written and oral communication skills. The position is for 4 years, provided successful progress, and should lead to a dissertation. The selected candidates will become doctoral students at EPFL provided acceptance by the Doctoral School at EPFL (http://phd.epfl.ch/applicants ). Annual gross salary ranges from 47,000 CHF (first year) to 50,000 CHF (last year). Interested candidates should inquire to Dr Jean-Marc Odobez and submit a cover letter, a detailed CV, and the names of three references (or recommendation letters) through the Idiap online recruitment system:? https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710293%27%7D Interviews will start upon reception of applications until the position is filled. -- Jean-Marc Odobez, IDIAP & EPFL Senior Researcher (EPFL MER) Perception and Activity Understanding group Tel: +41 (0)27 721 77 26 Web: http://people.epfl.ch/jean-marc.odobez http://www.idiap.ch/~odobez -------------- next part -------------- An HTML attachment was scrubbed... URL: From scik at zhaw.ch Tue Jul 14 11:27:08 2020 From: scik at zhaw.ch (Schilling Frank-Peter (scik)) Date: Tue, 14 Jul 2020 15:27:08 +0000 Subject: Connectionists: ANNPR 2020 (ONLINE): Program ready, early registration ends July 31! Message-ID: ANNPR 2020 (https://annpr2020.ch/), the 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, will be held from September 2nd-4th, 2020, organized by Zurich University of Applied Sciences ZHAW (Winterthur, Switzerland). Due to the COVID-19 situation, ANNPR 2020 will take place as online event. We are going to create an immersive and engaging virtual conference experience for our participants and sponsors. The workshop will consist of keynote talks, several sessions for presentations of accepted papers, and a poster session. Keynote speakers are J?rgen Schmidhuber (The Swiss AI Lab IDSIA, Lugano, Switzerland), Naftali Tishby (Hebrew University of Jerusalem, Israel), Bernd Freisleben (University of Marburg, Germany) and Pascal Paysan (Varian Medical Systems). In addition, there will be a dedicated applied research/industry session featuring a sponsored keynote, applied research presentations and virtual industry exhibits / booths / demos, which will provide networking opportunities. The full conference program is now available at https://annpr2020.ch/program/ Registration, at significantly lower fees than planned, is open. Early bird registration at reduced fee is available until July 31! Every registered participant will receive a printed copy of the conference proceedings, published by Springer LNCS, free of charge. We look forward to an exciting workshop and to welcoming you virtually from Winterthur! Dr. Frank-Peter Schilling (chair) Prof. Dr. Thilo Stadelmann (co-chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From notify at teuscher.ch Tue Jul 14 09:55:00 2020 From: notify at teuscher.ch (Notify) Date: Tue, 14 Jul 2020 06:55:00 -0700 Subject: Connectionists: Call for Participation: Free DAC'2020 e-Workshop on Neuromorphic Computing (Sun 7/19) Message-ID: 2020 Design Automation Conference (DAC'2020) e-Workshop on Neuromorphic Computing: Opportunities, Challenges, and Perspectives https://teuscher-lab.com/dac2020_neuromorphic_workshop Sunday, July 19, 2020 9:00am - 3:40pm PDT | 12:00pm - 5:40pm EDT (Zoom) Program: https://teuscher-lab.com/dac2020_neuromorphic_workshop/program Organizers: Priya Panda, Yale University Christof Teuscher, Portland State University Speakers: Kaushik Roy, Purdue University Yiran Chen, Duke University Priya Panda, Yale University Rajit Manohar, Yale University Jae-sun Seo, Arizona State University Yu Cao, Arizona State University Gert Cauwenberghs, UC San Diego Abhronil Sengupta, Pennsylvania State University Emre Neftci, UC Irvine Joshua Yang, University of Southern California John Paul Strachan, HP Labs Hsinyu Tsai, IBM Narayan Srinivasa, Intel Registration: Registration for the free e-workshop (via Zoom) at https://teuscher-lab.com/dac2020_neuromorphic_workshop/registration -- Christof Teuscher, PhD Portland State University Department of Electrical and Computer Engineering http://www.teuscher-lab.com From publicity at acsos.org Tue Jul 14 17:01:53 2020 From: publicity at acsos.org (ACSOS 2020) Date: Tue, 14 Jul 2020 22:01:53 +0100 Subject: Connectionists: ACSOS 2020: Call for Participation Message-ID: <18b32170-80e0-8076-8f88-6f64fae88be4@acsos.org> *** IEEE ACSOS 2020 - Call for Participation ***1st IEEE International Joint ICAC/SASO Conference onAutonomic Computing and Self-Organizing Systems17-21 August 2020 ? Online 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!*** Call for Participation ****Registration is now open for IEEE ACSOS 2020! * Due to the ongoing COVID-19 situation, the ACSOS conference will be *fully virtual*. As a result, we are pleased to announce that the fees can be kept at a very low level: - Registration for participants is just $50 (USD) and gives you access to all keynotes, technical and social sessions, workshops and tutorials. - Registration for publishing authors is $350 (USD). - Student registration grants are available! (See below for details.) Please visit https://2020.acsos.org/info/registration to register. *** Keynote Announcement! *** We are delighted to present three international research leaders as keynotes at the inaugural IEEE ACSOS conference: - *Hiroki Sayama ? Self-Organization of Society: Fragmentation, Disagreement, and How to Overcome Those* - *Susan Stepney ? Cyber-bio-physical systems engineering, or: can we grow a skyscraper?* - *Wendy Zhao **? **Towards Self-driving Cloud Infrastructure Management** *Please visit https://2020.acsos.org/info/keynotes for full details of the keynotes. * *** Accepted Papers ****With an acceptance rate of 25%, we are pleased to present a very high quality technical program of contributed papers. To see the list of accepted papers, please visit: https://2020.acsos.org/info/program*** Workshops ***In addition to the main technical track, ACSOS also plays host to a number of satellite workshops.This year, these are:- The 6th Workshop on *Self-Aware Computing* (SeAC 2020)http://seac2020.informatik.uni-wuerzburg.de/- The 2nd International Workshop on *Self-Protecting Systems* (SPS 2020)https://sites.google.com/view/sps20/home- The 8th International Workshop on *Autonomic Management of high-performance Grid and Cloud Computing* (AMGCC 2020)http://htcaas.kisti.re.kr/wiki/index.php/AMGCC20- The 5th Workshop on*Engineering Collective Adaptive Systems* (eCAS 2020)http://ecas2020.apice.unibo.it/- The 7th *Self-Improving Systems Integration* Workshop (SISSY 2020)https://sissy.telecom-paristech.fr/*** Tutorials ***We are also pleased this year to present three tutorials:- *Ethics in Self-* Sociotechnical Systems*Nirav Ajmeri, North Carolina State UniversityPradeep K. Murukannaiah, Delft University of TechnologyMunindar P. Singh, North Carolina State University- *SoftwarePilot: Fully Autonomous Aerial Systems Made Easier*Jayson Boubin and Christopher Stewart, The Ohio State University- *Autonomous Multi-Cloud Application Deployment and Optimized Management Using Open Source Frameworks*Marta R??a?ska and Geir Horn, University of Oslo, Norway*** Student Registration Grants ***With the help from the National Science Foundation of the United States, Chalmers University of Technology, and the Technical Committee on the Internet of the IEEE Computer Society (IEEE-CS TCI), funds are available to support doctoral students to participate in ACSOS 2020 conference. Doctoral students from the world are encouraged to apply for the student registration grant to cover the registration cost of the conference. Students from underrepresented groups, including women and minorities (African Americans/Blacks, Hispanic Americans, American Indians, Alaska Natives, Native Hawaiians, Native Pacific Islanders, and persons from economically disadvantaged backgrounds) are especially welcomed to apply in order to promote the Broadening Participation in Computing (BPC) effort from NSF.Important dates:- Deadline for applications for student registration grants: 24th July- Notification of grant decisions: 31st JulyPlease visit https://2020.acsos.org/info/student-grant for more information and to apply. -------------- next part -------------- An HTML attachment was scrubbed... URL: From joerg.luecke at uni-oldenburg.de Wed Jul 15 05:01:41 2020 From: joerg.luecke at uni-oldenburg.de (=?UTF-8?B?SsO2cmcgTMO8Y2tl?=) Date: Wed, 15 Jul 2020 11:01:41 +0200 Subject: Connectionists: Professorship position in explainable/interpretable Machine Learning Message-ID: <7a6102ef-330e-282f-51a2-1c9db0d3ab6a@uni-oldenburg.de> Dear list, Let me draw your attention to a currently advertised position on explainable / interpretable learning algorithms. The position is in the Health Sciences but researchers with a Machine Learning / Data Science background are generally of interest if they want to develop in the direction of medical data processing. Also candidates with a computational neuroscience background or a robotics background are of interest. So the spectrum of potential candidate profiles is relatively broad. Please see the following link for the official advertisement. https://uol.de/stellen/?stelle=67364 The position is a German W2 Professorship position (similar Associate Professor). Thanks and best wishes, J?rg L?cke -- J?rg L?cke (PhD) Professor and Head of the Machine Learning Lab Department of Medical Physics and Acoustics School of Medicine and Health Sciences University of Oldenburg 26111 Oldenburg Germany www.uol.de/ml From donatello.conte at univ-tours.fr Wed Jul 15 07:33:11 2020 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Wed, 15 Jul 2020 13:33:11 +0200 Subject: Connectionists: First CfP for the Second Edition of Video Processing for Human Behavioral Analysis (VP-HBA) Track at 36th ACM-SAC 2021 in Gwangju, Korea Message-ID: <034d01d65a9b$b8a944e0$29fbcea0$@univ-tours.fr> --------------------------------------------------------- Apologies for multiples copies --------------------------------------------------------- Call for Papers Video Processing for Human Behavioral Analysis (VP-HBA) Track http://phuselab.di.unimi.it/VP-HBA2021/ Motivations and topics The ACM Symposium on Applied Computing (SAC) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2021 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Gwangju, Korea. The Second Edition of the technical track on Video Processing for Human Behavioral Analysis (VP-HBA) will be organized in SAC 2021. The automated understanding of a wide range of human activities from visual as well as multimodal data still remains a source of challenging topics. This track mainly intends to focus on all aspects of computer vision, pattern recognition and machine intelligence devoted to the automatic analysis of human behavior by applying recent or novel video and multimodal data processing techniques. The scope of VP-HBA includes, but is not limited to, the following topics: - Human behavior analysis from visual and multimodal information - Information fusion for the analysis of human behavior - Affective computing and interaction - Cognitive interaction understanding - Visual attention models and systems - Crowd and social behavior understanding - Human and group action recognition - Human-machine interaction - Databases for human-human interaction - Scene understanding - Automatic tracking in videos - Social networks analysis - Modeling and simulation of human interactions - Multimodal dyadic interaction - Artificial intelligence for human interaction analysis - Pervasive computing for human interaction understanding - Computer vision for health emergencies - Gesture and gait analysis - Applications of behavior analysis methods, e.g., in medicine, sports and games, well-being, security, environment Submission Guidelines Authors are invited to submit original and unpublished papers of research and applications for this track. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review. Please, visit the website for more information about submission SAC No-Show Policy Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. Important Dates Submission of regular papers: September 15, 2020 Notification of acceptance/rejection: November 10, 2020 Camera-ready copies of accepted papers: November 25, 2020 SAC Conference: March 22 - 26, 2021 Donatello Conte Giuliano Grossi Jianyi Lin Jean-Yves Ramel (General chairs) -------------- next part -------------- An HTML attachment was scrubbed... URL: From mihaela.rozman at tuwien.ac.at Wed Jul 15 08:36:18 2020 From: mihaela.rozman at tuwien.ac.at (Mihaela Rozman) Date: Wed, 15 Jul 2020 14:36:18 +0200 Subject: Connectionists: Awardees of the VCLA International Student Awards for Outstanding Master and Undergraduate Theses in Logic and Computer Science - 2020 Message-ID: <028b01d65aa4$89e06810$9da13830$@tuwien.ac.at> The Vienna Center for Logic and Algorithms of TU Wien (VCLA) has the pleasure to announce the recipients of the VCLA International Student Awards for Outstanding Master and Undergraduate Theses in Logic and Computer Science. The highly successful fifth edition of the VCLA International Student Awards was concluded in July 2020. The awardees of the 2020 edition of the VCLA International Student Awards are: ***OUTSTANDING MASTER THESIS AWARD*** Karolina Okrasa (Poland Warsaw University of Technology) Thesis: Complexity of variants of graph homomorphism problem in selected graph classes Under the supervision of Pawe? Rz??ewski http://www.vcla.at/2020/07/fifth-edition-of-the-vcla-international-student-awards-2020/ ***OUTSTANDING UNDERGRADUATE RESEARCH AWARD*** Antonin Callard (France ENS Paris-Saclay) Thesis: Topological analysis of represented spaces and computable maps, cb0 spaces and non-countably-based spaces Under the supervision of Mathieu Hoyrup http://www.vcla.at/2020/07/fifth-edition-of-the-vcla-international-student-awards-2020/ ============= AWARDS ============= The annually awarded VCLA Awards are dedicated to the memory of Helmut Veith, the brilliant computer scientist who tragically passed away in March 2016, and aim to carry on his commitment to promoting young talent and promising researchers in these areas. The awardees receive: ? Outstanding Master Thesis Award: 1200 EUR ? Outstanding Undergraduate Research (Bachelor) Award: 800 EUR ? The awardees will be invited to present their work at an award ceremony (TBA due to COVID -19) =================== (SELF-)NOMINATIONS =================== The nominated theses had to be awarded between 15 November 2018 and 31 December 2019. The 2021 call will be issued in January 2021, for theses awarded between 15 November 2019 and 31 December 2020: http://www.vcla.at/vcla-awards =================== FORMER AWARDEES =================== *Mart?n Mu?oz (Pontificia Universidad Cat?lica de Chile): Descriptive Complexity for Counting Complexity Classes *Alexej Rotar (TU M?nchen): The Satisfiability Problem for Fragments of PCTL *Tom?? Lamser (Masaryk University): Algorithmic Analysis of Patrolling Games *Jeremy Liang An Kong (Imperial College London): MCMAS-Dynamic: Symbolic Model Checking Linear Dynamic Logic *Felix D?rre (Karlsruhe Institute of Technology): Verification of Random Number Generators *Valeria Vignudelli (University of Bologna): The Discriminating Power of Higher-Order Languages: A Process Algebraic Approach *Maximilian Schleich (Oxford University): Learning Regression Models over Factorised Joins *Pablo Mu?oz (University of Chile): New Complexity Bounds for Evaluating CRPQs with Path Comparisons *Kuldeep S. Meel (Rice University): Sampling Techniques for Boolean Satisfiability *Luke Schaeffer (University of Waterloo): Deciding Properties of Automatic Sequences *Sophie Spirkl (University of Bonn): Boolean Circuit Optimization =========================== VCLA AWARD COMMITTEE 2020 =========================== *Shqiponja Ahmetaj *Ezio Bartocci *Ekaterina Fokina *Robert Ganian, co-chair *Benjamin Kiesl *Martin Lackner *Bjoern Lellmann *Anna Lukina *Laura Nenzi *Johannes Oetsch *Magdalena Ortiz, chair *Revantha Ramanayake, co-chair *Zeynep G. Saribatur *Mantas Simkus *Sebastian Skritek *Friedrich Slivovsky *Max Tschaikowski *Johannes P. Wallner -------------- next part -------------- An HTML attachment was scrubbed... URL: From Samuel.Neymotin at nki.rfmh.org Wed Jul 15 10:37:19 2020 From: Samuel.Neymotin at nki.rfmh.org (Neymotin, Samuel (NKI)) Date: Wed, 15 Jul 2020 14:37:19 +0000 Subject: Connectionists: Multiscale modeling workshops and tutorial at CNS'2020 Message-ID: This year's Annual Computational Neuroscience meeting (CNS'2020) will be held online on July 18-22 and will be FREE. As part of the meeting, we are organizing a Tutorial and 2 Workshops on brain multiscale modeling and machine learning tools and resources, including several projects funded by NIH and ARO. The events are organized by SUNY, Yale, UCL, the Allen Brain Institute, and the Nathan Kline Institute for Psychiatric Research. We have over 20 speakers, all leaders in their fields and representing a wide range of modeling tools/resources. Here are the links: * CNS'2020 Tutorial: "Building mechanistic multiscale models, from molecules to networks, using NEURON and NetPyNE", July 18; https://sites.google.com/neurosim.downstate.edu/cns2020-tutorial * CNS'2020 Workshop: "Tools and resources for developing and sharing models in computational neuroscience", July 21-22; https://neuralensemble.github.io/Networks_SIG/CNS2020 * Workshop: "Machine learning and mechanistic modeling for understanding brain in health and disease", July 22, https://sites.google.com/view/cns-ml-msm-workshop-2020/ To register visit the links above or go directly to http://cnsorg.org/cns-2020. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Wed Jul 15 13:02:47 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Wed, 15 Jul 2020 19:02:47 +0200 Subject: Connectionists: ICMI 2020: Second Call for Late-Breaking Results Message-ID: ICMI 2020: Second Call for Late-Breaking Results ************************************ http://icmi.acm.org/2020/index.php?id=cflbr 25-29 Oct 2020, Utrecht, The Netherlands ************************************ ICMI2020 will be held as a virtual conference or partially virtual conference. LBR will be published as scheduled. ************************************ Based on the success of the LBR in ICMI 2018 and 2019, the ACM International Conference on Multimodal Interaction (ICMI) 2020 continues soliciting submissions for the special venue titled Late-Breaking Results (LBR). The goal of the LBR venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the new Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues. Online Submission For online paper submissions, please click on the following link: https://new.precisionconference.com/user/login?society=sigchi Highlights - Submission deadline: *August 12th, 2020* - Notifications: September 8th, 2020 - Camera-ready deadline: September 30th, 2020 - Conference Dates: October 24-25, 2020 - Submission format: Anonymized, short paper (four pages not including references), following the submission guidelines (http://icmi .acm.org/2020/index.php?id=authors) - Selection process: Peer-Reviewed - Presentation format: Participation in the conference poster session - Proceedings: Included in Adjunct Proceedings and ACM Digital Library - LBR Co-chairs: Elizabeth Shriberg (Berkeley University) and Catherine Pelachaud (CNRS-Sorbonne University) What are Late-Breaking Results? Late-Breaking Work (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting edge or emerging work that is still in exploratory stages, smaller-scale studies, or in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track. Why submit to the Late-Breaking Results track at ICMI? Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR (posters) track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field. Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are "significant" revisions from the original, as per the ACM and ACM SIGCHI policies. Submission Guidelines Extended Abstract: An anonymized, four-page paper, not including references, in the 2015 ACM SIGCHI Extended Abstracts format ( https://sigchi.org/templates). The paper should be submitted in PDF format and through the ICMI submission system in the "Late-Breaking Results" track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version and no deadline extensions can be granted. Anonymization: Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR to prior work, authors should not remove or anonymize references to their own prior work. Instead, we recommend that authors obscure references to their own prior work by referring to it in the third person during submission. If desired, after acceptance, such references can be changed to first-person. Review Process LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it "fits" the LBR track (e.g., in-progress results). More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Attendance At least one author of all accepted LBR submissions must register for and attend the conference, including the conference poster session. Questions? For more information and updates on the ICMI 2020 Late-Breaking Results (LBR), visit the LBR page of the main conference website: https://icmi .acm.org/2020/index.php?id=cflbr. For further questions, contact the LBR co-chairs (Elizabeth Shriberg elizabeth.shriberg at gmail.com, Catherine Pelachaud catherine.pelachaud at upmc.fr) -------------- next part -------------- An HTML attachment was scrubbed... URL: From vildan.salikutluk at tu-darmstadt.de Wed Jul 15 12:17:46 2020 From: vildan.salikutluk at tu-darmstadt.de (Vildan Salikutluk) Date: Wed, 15 Jul 2020 18:17:46 +0200 Subject: Connectionists: PhD position - Robotics and Interactive ML Message-ID: <76DC5C67-E90C-4421-B546-C7B13D024D5A@tu-darmstadt.de> Robotics & Interactive Machine Learning Ph.D. Student Position @ TU Darmstadt ==================================== The Intelligent Autonomous Systems Lab (IAS) in cooperation with the Center for Cognitive Science at the Technical University of Darmstadt (TU Darmstadt) is seeking for a Ph.D. student with a strong interest in one or more of the following research topics: * Interactive Robot Skill Learning and Learning from Demonstration * Interactive Reinforcement Learning * Human-Robot and Human-AI Interaction The Ph.D. student will work in a highly interdisciplinary team of young researchers who work on the intersection of robotics, machine learning, and cognitive science. The overall goal is hereby to develop interactive AI methods for robot skill learning and automated data processing that benefit, learn and improve through direct interaction with users. Such direct interaction with humans and AI systems can potentially facilitate broader access to robot learning and AI methods to society and may additionally increase performance as well as acceptance of such systems. Please relate clearly to the research topics and your past experience in robotics and Machine Learning in your Research Statement. Note that we favor heavily PhD students with real robot experience. Outstanding students and researchers from the areas of robotics and robotics-related areas including machine learning, control engineering or computer vision are welcome to apply. The candidates are expected to conduct independent research and at the same time contribute to the research topics listed above. ABOUT THE APPLICANT Ph.D. position applicants need to have a Master's degree in a relevant field (e.g., Robotics, Computer Science, Engineering, Statistics & Optimization, Math and Physics). Expertise in working with real robot systems (including e.g. programming in ROS and sensor data processing) and strong interest or past experience to work in an interdisciplinary team is a big plus. THE POSITION The position is for a 36 month contract. Payment will be according to the German TVL payment scheme. HOW TO APPLY? All complete applications submitted through our online application system found at https://www.ias.informatik.tu-darmstadt.de/Jobs/Application will be considered. ?The deadline for applications is 15.08.2020. The position is planned to start between Oktober 2020 and March 2021 depending on the candidate's availability. Ph.D. applicants should provide at least a research statement, a PDF with their CV, degrees, and grade-sheets, and two references who are willing to write a recommendation letter. Please ensure to include your date of availability for starting the Ph.D. position. Please, after submitting the application, send a quick notification with subject line ?Ph.D. student applicant ? to Dr. Dorothea Koert (?koert at ias.tu-darmstadt.de ?) and include your application number in the e-mail. ABOUT IAS AND CENTER FOR COGNITIVE SCIENCE The Intelligent Autonomous Systems (IAS) institute of TUDa (?https://www.ias.informatik.tu-darmstadt.de/ ?) is considered one of the strongest robot learning groups in Europe with expertise ranging from the development of novel machine learning methods (e.g., novel reinforcement learning approaches, policy search, imitation learning, regression approaches, etc.) over semi-autonomy of intelligent systems (e.g., shared control, interaction primitives, human-collaboration during manufacturing) to fully autonomous robotics (e.g., robot learning architectures, motor skill representation acquisition & refinement, grasping, manipulation, tactile sensing, nonlinear control, operational space control, robot table tennis). IAS members are well-known researchers both in the machine learning and the robotics community. The lab collaborates with numerous universities in Germany, Europe, the USA, and Japan as well as companies such as ABB, Honda Research, Franka Emika, and Porsche Motorsport. The Centre for Cognitive Science (?https://www.tu-darmstadt.de/cogsci/ccs/index.en.jsp ?) at Technische Universita?t Darmstadt unites faculty members across multiple disciplines, who joined forces in the scientific study of adaptive, intelligent behavior in humans and machines. At the Centre of Cognitive Science researchers work towards a computational-representational understanding of human perception, cognition, and action through a tight integration of artificial intelligence and cognitive science. TU Darmstadt is one of the preeminent research universities in artificial intelligence (AI), machine learning (ML), and robotics in Germany and Europe. Research is hereby driven by the belief that cognitive science can help to drastically improve future interaction with and explainability of artificial intelligence. The IAS lab and the Centre for Cognitive Science are located in the city center campus of TU-Darmstadt close to the beautiful Herrngarten park. ABOUT TU DARMSTADT TU Darmstadt is one of the top technical universities in Germany, and is well known for its research and teaching. It was one of the first universities in the world to introduce programs in electrical engineering and it is Germany's first fully autonomous university. More information can be found on: ?https://en.wikipedia.org/wiki/Technische_Universit%C3%A4t_Darmstadt ABOUT DARMSTADT Darmstadt is well known high-tech center with important activities in space craft operations (e.g., through the European Space Operations Centre, the European Organization for Exploitation of Meteorological Satellites), chemistry, pharmacy, information technology, biotechnology, telecommunications and mechatronics, and consistently ranked among the top high-tech regions in Germany. Darmstadt's important centers for arts, music and theatre allow for versatile cultural activities, while the proximity of the Odenwald forest and the Rhine valley allows for many outdoor sports. The 33,547 students of Darmstadt's three universities constitute a major part of Darmstadt's 140,000 inhabitants. Darmstadt is located close to the center of Europe. With just 17 minutes driving distance to the Frankfurt airport (closer than Frankfurt itself), it is one of best connected cities in Europe. Most major European cities can be reached within less than 2.5h from Darmstadt. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: page1image674745648.png Type: image/png Size: 252 bytes Desc: not available URL: From buenoandfine at gmail.com Wed Jul 15 19:19:16 2020 From: buenoandfine at gmail.com (Neuro Future) Date: Thu, 16 Jul 2020 01:19:16 +0200 Subject: Connectionists: Connecting your brain to video games: NeurotechGaming 2020 free online conference Message-ID: Connecting your brain to video games: NeurotechGaming 2020 free online conference. On July 18-19, join leaders from the gaming and neurotechnology industries to find out more about why neurotechnology is one of the next directions for video game development. *Click here to join * Day 1: 1. Mike Ambinder - Principal Experimental Psychologist at Valve corporation (Counter-Strike, Half-Life, Steam, Portal 2) 2. Maciej Rudzinski - Founder of Brainattach sp. z o.o. (Brain-Computer Interface for professional players) 3. Dimitri Mikhalchuk - Co-Founder of TESLASUIT (Full body haptic feedback suit) Day 2: 1. Adam Eizenberg Molnar - Co-Founder of Neurable (Everyday BCI that combines VR and EEG) 2. Erin Reynolds - Founder of Flying Mollusk, LLC (Biofeedback-enhanced games) 3. Erik Lloyd - CEO at Brink Bionics (A device for increasing the speed of reaction in games) -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Wed Jul 15 13:06:55 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Wed, 15 Jul 2020 20:06:55 +0300 Subject: Connectionists: 2nd round 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, 11 January, 2021 http://campus.pub.ro/RISS2020/ https://easychair.org/conferences/?conf=riss2020 *Please note that given the COVID-19 situation in Italy and all over the globe, the ICPR2020 Chairs have decided to shift the Conference schedule to 10-15 January 2021* *** Call for papers *** * Paper submission due: October 10th, 2020 * Acceptance notification: November 10th, 2020 * Workshop @ ICPR 2020: January 11th, 2021 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 vildan.salikutluk at tu-darmstadt.de Thu Jul 16 05:05:09 2020 From: vildan.salikutluk at tu-darmstadt.de (Vildan Salikutluk) Date: Thu, 16 Jul 2020 11:05:09 +0200 Subject: Connectionists: PhD position - Robotics and Interactive ML Message-ID: Robotics & Interactive Machine Learning Ph.D. Student Position @ TU Darmstadt ==================================== The Intelligent Autonomous Systems Lab (IAS) in cooperation with the Center for Cognitive Science at the Technical University of Darmstadt (TU Darmstadt) is seeking for a Ph.D. student with a strong interest in one or more of the following research topics: * Interactive Robot Skill Learning and Learning from Demonstration * Interactive Reinforcement Learning * Human-Robot and Human-AI Interaction The Ph.D. student will work in a highly interdisciplinary team of young researchers who work on the intersection of robotics, machine learning, and cognitive science. The overall goal is hereby to develop interactive AI methods for robot skill learning and automated data processing that benefit, learn and improve through direct interaction with users. Such direct interaction with humans and AI systems can potentially facilitate broader access to robot learning and AI methods to society and may additionally increase performance as well as acceptance of such systems. Please relate clearly to the research topics and your past experience in robotics and Machine Learning in your Research Statement. Note that we favor heavily PhD students with real robot experience. Outstanding students and researchers from the areas of robotics and robotics-related areas including machine learning, control engineering or computer vision are welcome to apply. The candidates are expected to conduct independent research and at the same time contribute to the research topics listed above. ABOUT THE APPLICANT Ph.D. position applicants need to have a Master's degree in a relevant field (e.g., Robotics, Computer Science, Engineering, Statistics & Optimization, Math and Physics). Expertise in working with real robot systems (including e.g. programming in ROS and sensor data processing) and strong interest or past experience to work in an interdisciplinary team is a big plus. THE POSITION The position is for a 36 month contract. Payment will be according to the German TVL payment scheme. HOW TO APPLY? All complete applications submitted through our online application system found at https://www.ias.informatik.tu-darmstadt.de/Jobs/Application will be considered. ?The deadline for applications is 15.08.2020. The position is planned to start between Oktober 2020 and March 2021 depending on the candidate's availability. Ph.D. applicants should provide at least a research statement, a PDF with their CV, degrees, and grade-sheets, and two references who are willing to write a recommendation letter. Please ensure to include your date of availability for starting the Ph.D. position. Please, after submitting the application, send a quick notification with subject line ?Ph.D. student applicant ? to Dr. Dorothea Koert (?koert at ias.tu-darmstadt.de ?) and include your application number in the e-mail. ABOUT IAS AND CENTER FOR COGNITIVE SCIENCE The Intelligent Autonomous Systems (IAS) institute of TUDa (?https://www.ias.informatik.tu-darmstadt.de/ ?) is considered one of the strongest robot learning groups in Europe with expertise ranging from the development of novel machine learning methods (e.g., novel reinforcement learning approaches, policy search, imitation learning, regression approaches, etc.) over semi-autonomy of intelligent systems (e.g., shared control, interaction primitives, human-collaboration during manufacturing) to fully autonomous robotics (e.g., robot learning architectures, motor skill representation acquisition & refinement, grasping, manipulation, tactile sensing, nonlinear control, operational space control, robot table tennis). IAS members are well-known researchers both in the machine learning and the robotics community. The lab collaborates with numerous universities in Germany, Europe, the USA, and Japan as well as companies such as ABB, Honda Research, Franka Emika, and Porsche Motorsport. The Centre for Cognitive Science (?https://www.tu-darmstadt.de/cogsci/ccs/index.en.jsp ?) at Technische Universita?t Darmstadt unites faculty members across multiple disciplines, who joined forces in the scientific study of adaptive, intelligent behavior in humans and machines. At the Centre of Cognitive Science researchers work towards a computational-representational understanding of human perception, cognition, and action through a tight integration of artificial intelligence and cognitive science. TU Darmstadt is one of the preeminent research universities in artificial intelligence (AI), machine learning (ML), and robotics in Germany and Europe. Research is hereby driven by the belief that cognitive science can help to drastically improve future interaction with and explainability of artificial intelligence. The IAS lab and the Centre for Cognitive Science are located in the city center campus of TU-Darmstadt close to the beautiful Herrngarten park. ABOUT TU DARMSTADT TU Darmstadt is one of the top technical universities in Germany, and is well known for its research and teaching. It was one of the first universities in the world to introduce programs in electrical engineering and it is Germany's first fully autonomous university. More information can be found on: ?https://en.wikipedia.org/wiki/Technische_Universit%C3%A4t_Darmstadt ABOUT DARMSTADT Darmstadt is well known high-tech center with important activities in space craft operations (e.g., through the European Space Operations Centre, the European Organization for Exploitation of Meteorological Satellites), chemistry, pharmacy, information technology, biotechnology, telecommunications and mechatronics, and consistently ranked among the top high-tech regions in Germany. Darmstadt's important centers for arts, music and theatre allow for versatile cultural activities, while the proximity of the Odenwald forest and the Rhine valley allows for many outdoor sports. The 33,547 students of Darmstadt's three universities constitute a major part of Darmstadt's 140,000 inhabitants. Darmstadt is located close to the center of Europe. With just 17 minutes driving distance to the Frankfurt airport (closer than Frankfurt itself), it is one of best connected cities in Europe. Most major European cities can be reached within less than 2.5h from Darmstadt. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: page1image674745648.png Type: image/png Size: 252 bytes Desc: not available URL: From connectionists at turingbirds.com Thu Jul 16 09:40:40 2020 From: connectionists at turingbirds.com (Charl Linssen) Date: Thu, 16 Jul 2020 15:40:40 +0200 Subject: Connectionists: =?utf-8?q?Scientific_software_developer_position_?= =?utf-8?q?at_the_SimLab_Neuroscience=2C_Juelich=2C_Germany?= Message-ID: <88e28036-2064-4190-af99-94628fefe21c@www.fastmail.com> (with apologies for any cross-posting) Dear colleagues, We have a Scientific software developer position available in the SimLab Neuroscience at the J?lich Supercomputing Centre, J?lich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in further developing NESTML, a modelling language and corresponding toolchain for the convenient specification of neuron and synapse models and the automatic generation of efficient C++ code from this specification modelling language. For a full description and details of how to apply, please see the announcement on our website: *Scientific Software Developer in Computational Neuroscience* https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-230-EN-JSC.html The application deadline for the position is August 5th. Thank you for your consideration! With kind regards, Charl Linssen _____________________________________ Charl Linssen Ir. MSc SimLab Neuroscience / IAS-6 J?lich Supercomputer Centre (JSC) Institute for Advanced Simulation Forschungszentrum J?lich GmbH c.linssen at fz-juelich.de +49 (0)2461 61-5269 _____________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Thu Jul 16 11:55:13 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Thu, 16 Jul 2020 17:55:13 +0200 Subject: Connectionists: ICMI 2020 Doctoral Consortium - Deadline Extended to 10th Aug Message-ID: ICMI 2020 Doctoral Consortium - *Submission extended to 10th Aug* ************************************************************** http://icmi.acm.org/2020/index.php?id=cfdc 25-29 Oct 2020, Utrecht, The Netherlands ************************************************************** ICMI2020 will be held as a virtual conference or partially virtual conference. ************************************************************** The goal of the ICMI Doctoral Consortium (DC) is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in designing and developing multimodal interfaces and interaction. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of designing and developing multimodal interfaces. We expect to provide economic support to most attendees that will cover part of their costs (travel, registration, meals etc.). = Who should apply? = While we encourage applications from students at any stage of doctoral training, the doctoral consortium will benefit most the students who are in the process of forming or developing their doctoral research. These students will have passed their qualifiers or have completed the majority of their coursework, will be planning or developing their dissertation research, and will not be very close to completing their dissertation research. Students from any PhD granting institution whose research falls within designing and developing multimodal interfaces and interaction are encouraged to apply. = Why should you attend? = The DC provides an opportunity to build a social network that includes the cohort of DC students, senior students, recent graduates, and senior mentors. Not only is this an opportunity to get feedback on research directions, it is also an opportunity to learn more about the process and to understand what comes next. We aim to connect you with a mentor who will give specific feedback on your research and whom you can talk to during the lunch. We specifically aim to create an informal setting where students feel supported in their professional development. = Agenda = - 09:00 - 09:30: Invited talk - 09:30 - 11:00: DC talks 1 - 11:00 - 11:30: Coffee break - 11:30 - 13:00: DC talks 2 - 13:00 - 14:30: Lunch mentoring session - 14:30 - 15:15: Panel discussion (senior PhD students and recent graduates) - 15:15 - 15:45: Coffee break - 15:45 - 17:00: Table discussions (small group discussions about topics of interest) = Submission Guidelines = Graduate students pursuing a PhD degree in a field related to designing multimodal interfaces should submit the following materials: 1. Extended Abstract: A four-page description of your PhD research plan and progress in the ACM SigConf format. Your extended abstract should follow the same outline, details, and format of the ICMI short papers. The submissions will not be anonymous. In particular, it should cover: - The key research questions and motivation of your research; - Background and related work that informs your research; - A statement of hypotheses or a description of the scope of the technical problem; - Your research plan, outlining stages of system development or series of studies; - The research approach and methodology; - Your results to date (if any) and a description of remaining work; - A statement of research contributions to date (if any) and expected contributions of your PhD work; 2. Advisor Letter: A one-page letter of nomination from the student's PhD advisor. This letter is not a letter of support. Instead, it should focus on the student's PhD plan and how the Doctoral Consortium event might contribute to the student's PhD training and research. 3. CV: A two-page curriculum vitae of the student. All materials should be prepared in PDF format and submitted through the ICMI submission system. = Review Process = The Doctoral Consortium will follow a review process in which submissions will be evaluated by a number of factors including (1) the quality of the submission, (2) the expected benefits of the consortium for the student's PhD research, and (3) the student's contribution to the diversity of topics, backgrounds, and institutions, in order of importance. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Finally, we hope to achieve a diversity of research topics, disciplinary backgrounds, methodological approaches, and home institutions in this year's Doctoral Consortium cohort. We do not expect more than two students to be invited from each institution to represent a diverse sample. Women and other underrepresented groups are especially encouraged to apply. = Financial Support = The conference is pleased to offer partial financial support for doctoral students participating in the Doctoral Consortium and attending the conference. Only students who apply and are accepted for participation in the Doctoral Consortium can be considered for financial support. The number and size of the offers of financial support are contingent upon the number of invited student participants. = Attendance = All authors of accepted submissions are expected to attend the Doctoral Consortium and the main conference poster session. The attendees will present their PhD work as a short talk at the Consortium and as a poster at the conference poster session. A detailed program for the Consortium and the participation guidelines for the poster session will be available after the camera-ready deadline. = Process = ? Submission format: Four-page extended abstract using the ACM format ( https://www.acm.org/publications/proceedings-template#aL2) ? Submission system: https://new.precisionconference.com/user/login?society=sigchi/ ? Selection process: Peer-Reviewed ? Presentation format: Talk on consortium day and participation in the conference poster session ? Proceedings: Included in conference proceedings and ACM Digital Library ? Doctoral Consortium Co-chairs: Juliet Haarman (University of Twente) Emily Mower Provost (University of Michigan) and Catharine Oertel (TU Delft). = Important Dates = *Submission deadline (extended): Aug 10, 2020 (23:59PM, PST)* Notifications: August 17, 2020 Camera-ready: September 2nd, 2020 Doctoral Consortium date: October 25, 2020 = Questions? = For more information and updates on the ICMI 2020 Doctoral Consortium, visit the Doctoral Consortium page of the main conference website ( http://icmi.acm.org/2020/index.php?id=cfdc) For further questions, contact the Doctoral Consortium co-chairs: - Emily Mower Provost (emilykmp at umich.edu) - Catharine Oertel (C.R.M.M.Oertel at tudelft.nl) - Juliet Haarman (j.a.m.haarman at utwente.nl) -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.bilen at ed.ac.uk Fri Jul 17 06:47:41 2020 From: h.bilen at ed.ac.uk (Hakan Bilen) Date: Fri, 17 Jul 2020 11:47:41 +0100 Subject: Connectionists: PhD Studentship in Computer Vision and Machine Learning Message-ID: <8ed3c716-1872-25de-10d2-f8cd220ab860@ed.ac.uk> Dear all, We are seeking an exceptional United Kingdom/European Union (UK/EU) PhD candidate to study in the Visual Computing Group (http://groups.inf.ed.ac.uk/vico/) at the University of Edinburgh. The successful candidate will have an opportunity to work on cutting-edge computer vision and machine learning research projects in multi-task learning. The goal of this project is to develop the next generation of deep learning systems for computer vision with a focus on multiple-task learning from images and videos. The successful candidate will have the opportunity to collaborate with leading computer vision and machine learning groups in the UK and Europe. The position is available from January 2021. PhD candidate requirements We are looking for creative and motivated applicants with, or expected to obtain soon, a 1st Class Honours degree in a relevant discipline, including Informatics, Computer Science, Electrical Engineering but not limited to. Basic programming skills (eg in python) are required. Previous experience on machine learning and computer vision is appreciated. Funding This is an industry funded award and will provide an annual stipend for three years plus University fees for UK/EU students. Any eligible non-EU candidates must fund the remainder of the overseas tuition fee. Application If you are interested in the position, please provide a CV, a personal statement detailing your research interests and reasons for applying (max 1 page), marks for your degree(s) and an email address for one academic reference. There is no application deadline, the position will be open till the candidate is appointed. All documents should be in electronic format and sent via e-mail me as soon as possible (Email: h.bilen at ed.ac.uk). Hakan Bilen -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From adeel.razi at gmail.com Sat Jul 18 00:30:55 2020 From: adeel.razi at gmail.com (Adeel Razi) Date: Sat, 18 Jul 2020 14:30:55 +1000 Subject: Connectionists: PhD Positions in Computational Neuroscience @ Monash Australia Message-ID: Dear all, We are soliciting expressions of interest for PhD positions. The research program of our ?Computational Neuroscience Laboratory? has a couple of directions that may be of interest for Engineering/Computer Science/Physics/Maths students with interest in machine learning / artificial intelligence as applied to answer questions grounded in neurobiology. Our research is broadly directed towards: i) development of neuroscience-inspired artificial intelligence schemes to understand how parts of the brain work together to implement cognition ii) development of multi-modal & multi-scale Bayesian framework (i.e. dynamic causal modelling), to characterise brain network dynamics (and how these brain dynamics reorganise with different brain pathologies) The candidates may like to get further information on the application process here: http://www.adeelrazi.org/openings.html or get in touch by emailing adeel.razi at monash.edu The Monash International Doctoral Program deadline is 31st Aug, 2020. So please get in touch at least 3-4 weeks in advance to discuss suitability of your profile. With very best wishes, Adeel ? *Adeel Razi, PhD* *Director, Computational Neuroscience Laboratory* Associate Professor | ARC DECRA Fellow | Deputy Head - Brain Mapping & Modelling Research Program *Turner Institute for Brain and Mental Health* Monash University, Australia adeelrazi.org | monash.edu/turner-institute Honorary Senior Research Fellow *Wellcome Centre for Human Neuroimaging* University College London, United Kingdom *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 sildomar at ieee.org Fri Jul 17 18:22:39 2020 From: sildomar at ieee.org (Sildomar Takahashi Monteiro) Date: Fri, 17 Jul 2020 18:22:39 -0400 Subject: Connectionists: [jobs] AI/ML Research Engineer multiple positions at Aurora (Boeing) in Boston Message-ID: Aurora Flight Sciences (a Boeing subsidiary) is hiring several AI/ML research engineer/scientist positions in Cambridge, MA. For junior candidates, we are looking for a solid general AI/ML background knowledge. For senior candidates, a PhD (or Masters) in machine learning or related fields - artificial intelligence, robotics, computer vision - is highly desirable. Publications in selective conferences and journals would be a big plus. Aurora offers a dynamic working environment with lots of opportunity for career growth as a subsidiary of a large corporation. The successful candidates will support R&D projects for the aerospace industry and defense customers, such as DARPA, in collaborations with top universities, such as MIT. *Candidates must be US persons (US citizens or US permanent residents)* Please apply directly at https://www.aurora.aero/aurora-job-search --- *Sildomar Monteiro, PhD | Program Manager | Sr Research Scientist* *Aurora Flight Sciences, A Boeing Company* https://aurora.aero/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From yue.xu at qut.edu.au Sat Jul 18 21:54:08 2020 From: yue.xu at qut.edu.au (Yue Xu) Date: Sun, 19 Jul 2020 01:54:08 +0000 Subject: Connectionists: CFP: DASM'20 International Workshop on Data Analytics on Social Media Message-ID: [Apologies for multiple postings] Call for Papers DASM'20: International Workshop on Data Analytics on Social Media Conjunction with the 2020 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT'20), Melbourne, Australia, 14 December 2020. Workshop website: https://www.dasm-workshop.qut.edu.au/ Important Dates: Electronic submission of full papers: 30 September, 2020 Notification of paper acceptance:31 Oct. 2020 Workshop: 14 Dec. 2020 Conference: 15 - 17 Dec. 2020 Paper Submission: Your paper should be limited to a maximum of 4 pages in the IEEE conference proceedings format. Online submission page: https://wi-lab.com/cyberchair/2020/wi20/scripts/ws_submit.php?subarea=S Motivations and topics With the explosive growth of resources available through the Internet, information overload has become a serious issue. Especially the emergence of social media has created highly interactive platforms for users to create, share, exchange information and build social networks. Web users are commonly overwhelmed by huge volume of information and are faced with the challenge of finding the most relevant information. Recent years, the research area of data analytics has been developing rapidly. Many data analytics techniques have been developed for analysing raw data gathered from various data sources to generate valuable hidden insights and useful information which can help human beings make wise decisions. Social media analytics is the process of gathering and analyzing data from social networks and online communities. This area has not yet been well-exploited; difficulties arise while selecting resources through data analytics systems from technology perspective and social perspective; also solutions are needed for effective interaction & collaboration between users and maintain trustworthiness and reliability of information on social media. The aim of this workshop is to promote high quality research in technical and human aspects related to Web personalization, social media and resource selection, data analysis and mining, through data analytics systems. The workshop will provide a forum for academic and industrial researchers to exchange ideas about past, present and future trends in social media data analytics, and for discussing new and innovative approaches. The topics include, but are not limited to: User behaviour modelling and personalization techniques Collaborative and content based filtering Security and trust on social media Trust and reputation management Ontology learning and semantic web technologies Content management and modelling Product modelling, user opinion mining and data extraction Adaptive user interfaces Ownership of social media content Text summarization and topic modelling on social media Trustworthiness and reliability on social media Recommender applications for social media sites Explanation and justification in recommender systems Measuring personalization effectiveness Modelling decision making in e-commerce systems Measuring personalization effectiveness Evaluation methods for recommender systems Security and Privacy in social media Incorporation of domain knowledge and business processes Healthcare data analytics Applications of data analytics Organizers: Yue Xu, Queensland University of Technology, Australia, yue.xu at qut.edu.au Xiaoying Gao, Victoria University of Wellington, New Zealand, xiaoying.gao at ecs.vuw.ac.nz Yuefeng Li, Queensland University of Technology, Australia, y2.li at qut.edu.au Audun J?sang, University of Oslo, Norway, josang at mn.uio.no From jkrichma at uci.edu Sun Jul 19 18:04:58 2020 From: jkrichma at uci.edu (Jeffrey Krichmar) Date: Sun, 19 Jul 2020 15:04:58 -0700 Subject: Connectionists: Release of CARLsim5 - Latest version of our GPU-accelerated Spiking Neural Network Simulator Message-ID: Dear Colleagues, We are pleased to announce the release of CARLsim5. CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. CARLsim allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic x86 CPUs and standard off-the-shelf GPUs. The simulator provides an intuitive programming interface in C/C++, which allows for details and parameters to be specified at the synapse, neuron, and network level. The new release has a python frontend that is compatible with PyNN. Software and user documentation can be found at: https://github.com/UCI-CARL/CARLsim5 New and improved features in CARLsim5 include: ? PyNN compatibility ? Neuron monitor for observing the voltage and current traces of individual neurons ? Improved installation for the Evolutionary Computations in Java (ECJ) interface (coming soon) ? Docker images for Windows users and computer cluster users ? Saving and loading simulations For those interested in the pyCARL interface, our IJCNN paper will be presented at the Plenary Poster Session I-P7: Spiking Neural Networks, Tuesday, July 21, 2:30PM-4:30PM GMT+1), IJCNN Poster Room 1: P1317 PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network [#20903] Sincerely, The CARLsim team Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From alish.dipani at gmail.com Sun Jul 19 16:46:32 2020 From: alish.dipani at gmail.com (alish dipani) Date: Mon, 20 Jul 2020 02:16:32 +0530 Subject: Connectionists: Invitation for Summer Symposium on AI Research | 25th & 26th July 2020 Message-ID: Greetings from *SAiDL*, We are enthralled to present our first-ever "*Summer Symposium on AI Research*" in association with *Anuradha and Prashanth Palakurthi Centre for Artificial Intelligence Research** (APPCAIR) (* https://www.bits-pilani.ac.in/Goa/appcair/home*)*. It will be a *two-day virtual event* so that you can attend this from the comfort of your home, and it is completely *free*. Talks will cover *the current advancements in Artificial Intelligence*. This event will also serve as a forum for interaction between students pursuing similar career interests in AI. We have a fantastic lineup of speakers already confirmed, including:- - *Dr. Manish Gupta*, Director at Google AI Research India, - *Dr. Manik Varma*, Principal Researcher at Microsoft Research, - *Prof. Jayashree Kalpathy-Cramer*, Associate Professor at Harvard Medical School, - *Prof. Ross D. King*, Turing Fellow at Turing Institute, - *Prof. Vijay Janapa Reddi*, Associate Professor at Harvard University, - *Prof. Balaraman Ravindran*, Professor at IIT Madras, - *Dr. Aleksandra Faust*, Staff Research Scientist at Google Brain, CA - *Dr. Carsen Stringer*, Group Leader at Stringer Lab, HHMI Janelia Research Campus - *Dr. Lovekesh Vig*, Senior Scientist at TCS Research. And this isn't even the complete list yet. You can find out more details about this event on our website: ( https://sites.google.com/view/aisymposium2020/home). Dates: *25th & 26th July 2020* To register, fill out the form: https://forms.gle/hdJDL9NgMjDWtSys9 For more updates, follow SAiDL on twitter: https://twitter.com/SforAiDL. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dimitrije.markovic at tu-dresden.de Mon Jul 20 05:45:03 2020 From: dimitrije.markovic at tu-dresden.de (Dimitrije Markovic) Date: Mon, 20 Jul 2020 09:45:03 +0000 Subject: Connectionists: Special Entropy Issue "Information Theory in Computational Neuroscience" Message-ID: <1595238303351.91631@tu-dresden.de> Dear Colleagues, We cordially invite you to submit a manuscript for possible publication in a Special Issue on "Information Theory in Computational Neuroscience" to be published in the journal Entropy (ISSN 1099-4300, IF 2.530, http://www.mdpi.com/journal/entropy). The aim of the Special Issue is to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. You can see full details of the scope and submission details at: https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscience The submission deadline is 30 September 2020. You may send your manuscript at any time before the deadline or a bit later. Submitted papers should not be under consideration for publication elsewhere. Entropy is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Please kindly note that an Article Processing Charge (APC) of CHF 1600 currently applies to all accepted papers. Please do not hesitate to come back to us if there is anything further that we can help with. We look forward to hearing from you. Kind regards, Dimitrije Markovic and Claudius Gros ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universit?t Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ ============================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From angus.chadwick at ed.ac.uk Mon Jul 20 08:34:39 2020 From: angus.chadwick at ed.ac.uk (CHADWICK Angus) Date: Mon, 20 Jul 2020 12:34:39 +0000 Subject: Connectionists: PhD Position in Computational Neuroscience at the University of Edinburgh Message-ID: Applications are invited for a fully-funded 3 year PhD studentship in Computational Neuroscience with Dr. Angus Chadwick at the Institute for Adaptive and Neural Computation in the School of Informatics, University of Edinburgh. Applicants should hold, or be close to completion of, an undergraduate or masters degree in physics, mathematics, computer science, engineering, or a related subject, and be interested in applying their analytical skills to tackle problems in neuroscience. Highly motivated students with other backgrounds may also apply. Research in our group focuses on the neural circuit computations underlying perceptual and cognitive function, with a focus on vision and spatial navigation. We use a combination of approaches, including 1) analysis and simulation of biological neural networks, 2) development of novel data analytic methods for large-scale neural recordings, and 3) normative models of neural circuit function informed by machine learning and artificial intelligence. Typical techniques used include dynamical systems theory, statistical physics, signal processing and machine learning. We collaborate closely with experimental neuroscience laboratories both in Edinburgh and further afield. A number of projects are available, and there is flexibility to develop a project to suit the interests and skills of the candidate. Edinburgh is a vibrant and international city with a large student population, and has been voted as ?best place to live in Britain?. The School of Informatics hosts an internationally-leading research environment in Computational Neuroscience, Machine Learning and Robotics, with close links to the Centre for Discovery Brain Sciences and the School of Philosophy, Psychology and Language Sciences. Applicants should email Dr. Angus Chadwick directly at angus.chadwick at ed.ac.uk with their CV and a brief statement of interest, or for informal enquiries and discussion. Applications will be considered until the position is filled. The start date for the position is flexible (with earliest possible start September 2020). The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: From boris.gutkin at ens.fr Mon Jul 20 09:03:20 2020 From: boris.gutkin at ens.fr (boris gutkin) Date: Mon, 20 Jul 2020 15:03:20 +0200 Subject: Connectionists: Invitation to submit papers to In Silico Pharmacology Message-ID: On behalf of the In Silico Pharmacology (Springer) editorial board, we would like to invite papers at the interface between computational neuroscience, artificial intelligence, machine learning and neuropharmacology. In Silico Pharmacology provides a forum for peer-reviewed research articles at the cross-roads of computation, neuroscience, pharmacology and toxicology. It is anticipated that all computational and experimental approaches are represented within In Silico Pharmacology. The journal primarily publishes interdisciplinary papers that address computational approaches in multi-scale analysis of bioactive substances from the cellular up to behavioral level as well as drug-design. The journal especially encourages deterministic and stochastic modeling of biological (e.g., biochemical, biophysical and immunological) processes leading to therapeutic advancements, as well as mathematical methods characterizing the pharmacology of substances within the living organism. Papers investigating substance- or material-induced morphological and genetic alterations are also welcome. More information can be found at the journal website: https://www.springer.com/journal/40203/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From nagai.yukie at mail.u-tokyo.ac.jp Mon Jul 20 20:55:02 2020 From: nagai.yukie at mail.u-tokyo.ac.jp (Yukie Nagai) Date: Tue, 21 Jul 2020 09:55:02 +0900 Subject: Connectionists: Postdoc position at International Research Center for Neurointelligence (IRCN), the University of Tokyo Message-ID: Dear colleagues, Nagai, Yazaki and Tsuji labs at the International Research Center for Neurointelligence (IRCN), the University of Tokyo are seeking a postdoctoral candidate for the transdisciplinary project ?The Development of Social Intelligence?. The goal of this project is to identify the neuronal and biological basis of social effects on learning. The successful candidate will be involved in developing experiments in songbirds and human infants in interaction with robots, including the recording and analysis of behavioral, auditory, and physiological measures. The candidate will primarily be supervised by Dr. Nagai, and co-supervised by Dr. Yazaki and Dr. Tsuji. https://ircn.jp/en/careers/20200720-socialintelligence If you are interested in being considered, please send the required documents to yukie at ircn.jp. --------------------------------------------------------------------------------- 1. Job title Project Researcher (Postdoctoral Fellow) 2. Starting Date Negotiable 3. Term The first contract will be ended on March 31, 2021. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract can be extended for up to 3 years. 4. Place of Work International Research Center for Neurointelligence The University of Tokyo, Institutes for Advanced Study 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN *This can be changed due to work circumstances. 5. Qualifications (Required) - Ph.D. or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in computer science, cognitive science, neuroscience, and/or psychology will be preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees? pension, employment insurance, and workers? accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications and Selection Process - Applications deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie at ircn.jp with a subject "Application for Project Researcher in Social Intelligence?. - Selection Process: All applications will be screened, and only those qualified will be scheduled for an interview. --------------------------------------------------------------------------------- ? Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie at mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org From biaswatchneuro at gmail.com Mon Jul 20 14:12:04 2020 From: biaswatchneuro at gmail.com (Bias WatchNeuro) Date: Mon, 20 Jul 2020 14:12:04 -0400 Subject: Connectionists: The Annual BiasWatchNeuro Award for Equity and Inclusivity Message-ID: We wanted to let you know of this new award, for a department/institute/program that is making special (and effective) efforts to ensure inclusivity and equity for trainees from minoritized and historically marginalized group. We hope you will circulate the below call for nomination among trainees in your department. Letters of nomination are due by end of August, for a September award date (in time for graduate recruiting season). Even if your department does not win this year, letters of nomination for the winning departments will be made public, so other departments can learn and copy their best practices. We are looking forward to a day where all neuroscientists feel welcome and supported in any university. The call for nominations is below, and also at https://biaswatchneuro.com/bwn-award/. > Call for nominations The Annual BiasWatchNeuro Award for Equity and Inclusivity > > Diverse voices and ideas deserve to be heard equitably in science. Since > 2015, BiasWatchNeuro has worked to increase the representation of women in > neuroscience and related fields, emphasizing in particular the > representation of women as invited speakers at conferences. However, women > are not the only group that is confronted with implicit biases and systemic > obstacles in science. Minoritized groups are severely underrepresented at > every level of the academic career path ? from undergraduate education to > faculty. Attempts to diversify departments have increased, but the reality > is that many universities and institutions still embody and perpetuate both > the historical influence of being established by men of privilege, and the > persisting effects of systemic racism in our society. Even as more diverse > student bodies are recruited, the culture in many departments and > institutions is not welcoming to and supportive of those that belong to > minoritized groups. Intersectionality adds another layer of disadvantage, > with minoritized women being especially underrepresented and unsupported. > > It is time to change this reality and build a new one, in our departments > and institutions. Black scientists matter. Latinx scientists matter. > LGBTQAI+ scientists matter. First generation scientists matter. Low income > scientists matter. Intersectionality matters. > > BiasWatchNeuro is excited to announce a new Annual Award for Equity and > Inclusivity, awarded to a neuroscience or neuroscience-related department, > institute or program that demonstrates the exceptional creation of a > culture where individuals underrepresented and/or marginalized in STEM feel > integral to the community and thrive. > > We recognize that no department/institute/program is perfect. However, > some are doing much better than others, and should be recognized for this. > Nomination letters for winners and runner ups will be made public (without > the list of signatories, which will remain confidential), to showcase > successful methods for creating an inclusive and equitable culture, and to > provide prospective trainees at all levels with information that can inform > their decisions of where to apply to. We hope that this will help us all > improve our practices and move toward a day in which all neuroscientists > feel seen, respected, and supported. > > Nominations for the 2020 award will be accepted through *August 31, 2020*. Awards > will be announced in September. > > Letter of nomination signed by one or more trainees (current and/or > alumni; including post-bacc/RAs; faculty cannot nominate their current > program) should be sent to biaswatchneuro at gmail.com. Letters should > describe in detail specific actions and elements that promote inclusivity > and equity, and their impact on underrepresented/marginalized groups. More > than one letter and/or letters with multiple signatories will be viewed > favorably. > Sincerely, The BiasWatchNeuro team ----------------------------------------------------- Please feel free to send conferences and meetings our way by filling out this form. For more information: www.biaswatchneuro.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From li.zhaoping at tuebingen.mpg.de Tue Jul 21 07:57:45 2020 From: li.zhaoping at tuebingen.mpg.de (Zhaoping Li) Date: Tue, 21 Jul 2020 13:57:45 +0200 Subject: Connectionists: Rodent Neuroscience Postdoc/Ph.D. positions available in Zhaoping lab in Tuebingen Germany In-Reply-To: References: Message-ID: <1b8ade9c-3b50-c14c-2cb4-923c328ad5c2@tuebingen.mpg.de> The positions are focused on behavioral, electrophysiological, and imaging experiments on rodents. See https://uni-tuebingen.de/universitaet/stellenangebote/newsfullview-stellenangebote/article/postdoctoral-position-in-neuroscience-mfd-tv-l-e13-100/ and https://uni-tuebingen.de/universitaet/stellenangebote/newsfullview-stellenangebote/article/phd-position-in-neuroscience-mfd-tv-l-e13-65/ for detailed position information. Also see http://www.lizhaoping.org/jobs.html Our lab has an interdisciplinary team combining computational and experimental methods, each team member does not need to master all disciplines of methods but our environment enables and encourages learning and collaboration between team members.? More information of the lab's research is available at www.lizhaoping.org -- Li Zhaoping Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Dept of Sensory and Sensorimotor Systems, Max Planck Institute of Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org From li.zhaoping at tuebingen.mpg.de Tue Jul 21 07:52:37 2020 From: li.zhaoping at tuebingen.mpg.de (Zhaoping Li) Date: Tue, 21 Jul 2020 13:52:37 +0200 Subject: Connectionists: Postdoc/Ph.D. positions available in human neuroscience/psychophysics available in Zhaoping lab in Tuebingen Germany Message-ID: Possible projects include, but are not limited to, visual attention (e.g., in visual search or object recognition experiments), visual recognition/discrimination (e.g., in color vision, stereo/dichoptic vision, illusions in central and/or peripheral vision), and visual adaptation. We use a variety of techniques including eye tracking, fMRI, EEG, and other psychology and neuroimaging methods. Please see position adverts in http://www.lizhaoping.org/jobs.html Our lab has an interdisciplinary team combining computational and experimental methods, each team member does not need to master all disciplines of methods but our environment enables and encourages learning and collaboration between team members.? More information of the lab's research is available at www.lizhaoping.org -- Li Zhaoping Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Dept of Sensory and Sensorimotor Systems, Max Planck Institute of Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org From moritz.grosse-wentrup at univie.ac.at Tue Jul 21 12:36:55 2020 From: moritz.grosse-wentrup at univie.ac.at (Moritz Grosse-Wentrup) Date: Tue, 21 Jul 2020 18:36:55 +0200 Subject: Connectionists: [BCI-UC] Final program online In-Reply-To: References: <591cf8aa-c57b-8aad-1e57-23e2c7fbe9fc@univie.ac.at> <426c80fa-0803-e44e-30d2-ef66da571980@univie.ac.at> Message-ID: Dear colleagues: The final program of the 1st BCI Un-Conference is now online: https://bciunconference.univie.ac.at/program/ In addition to the keynotes by Mariska J Vansteensel and Christian Herff, the BCI-UC features nine contributed talks. These talks were selected from 31 submissions by 190 registered participants casting a total of 427 votes. All lectures will be streamed free of charge via Crowdcast this Thursday, July 23rd, from 3 pm to 9:15 pm (CEST) under the following URL: https://www.crowdcast.io/e/1st-brain-computer-interface-unconference/ If you would like to receive future updates about the BCI-UC series, please sign up to the mailing list: https://lists.univie.ac.at/mailman/listinfo/bciuc You are very welcome to also use this mailing list for any announcements that are of interest to the BCI community at large. Best regards, The BCI-UC Organizing Committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Anita Resch Jiachen Xu -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna H?rlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup at univie.ac.at +43-1-4277-79610 http://neural.engineering/ From smart at neuralcorrelate.com Tue Jul 21 23:36:51 2020 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Tue, 21 Jul 2020 23:36:51 -0400 Subject: Connectionists: 2ND CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 16TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST In-Reply-To: <1b9b01d65fd9$06ae5a80$140b0f80$@neuralcorrelate.com> References: <1b9b01d65fd9$06ae5a80$140b0f80$@neuralcorrelate.com> Message-ID: <1bc401d65fd9$59874eb0$0c95ec10$@neuralcorrelate.com> ****2ND CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 16TH ANNUAL BEST ILLUSION OF THE YEAR CONTEST**** http://illusionoftheyear.com We are happy to announce the 16th edition of world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can now participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! We thank the Museum of Mind, Gold Sponsor of the 2020 Best Illusion of the Year Contest, for its generous support. Contestants are invited to submit 1-minute YouTube or mp4 videos featuring novel illusions (unpublished, or published no earlier than 2019) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * A video of yourself describing your illusion * A video animation/theatrical performance of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * Significance to our understanding of the human mind and brain * Simplicity of the description * Sheer beauty * Counterintuitive quality * Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2020 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( smart at neuralcorrelate.com) until August 7th, 2020. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse ---------------------------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience 2014 Society for Neuroscience's Science Educator Award 2014 Empire Innovator Scholar State University of New York (SUNY) Downstate Health Sciences University 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From eneftci at uci.edu Wed Jul 22 00:27:24 2020 From: eneftci at uci.edu (Emre Neftci) Date: Tue, 21 Jul 2020 21:27:24 -0700 Subject: Connectionists: =?utf-8?q?Virtual_Telluride_Neuromorphic_Engineer?= =?utf-8?q?ing_Workshop_Postponed_=28Aug_3-7=29?= In-Reply-To: <0d37bacd-2356-4e42-b1b6-c691de95dbce@www.fastmail.com> References: <0d37bacd-2356-4e42-b1b6-c691de95dbce@www.fastmail.com> Message-ID: <065036aa-37f3-4a25-9a4c-fc8d24878bfb@www.fastmail.com> Dear all, The Virtual Telluride Neuromorphic Engineering Workshop has been postponed to Aug 3-7 (8am to 10am PDT, or 17:00 to 19:00 CET) due to conflicts with other workshops. Please visit the website for more information (https://sites.google.com/view/telluride2020/home). Regards, The Telluride Neuromorphic Cognition Engineering 2020 (Virtual) Organizing Team On Mon, Jul 6, 2020, at 20:02, Emre Neftci wrote: > We are happy to announce a Virtual Telluride Neuromorphic Cognition > Engineering Workshop 2020 (https://tellurideneuromorphic.org/) this > year in replacement of our usual Workshop in Telluride. The workshop > will take place from July 27 to July 31 (8am to 10am PDT, or 17:00 to > 19:00 CET). > > The format will be a week of lectures and tutorials on current topics > in neuromorphic engineering (two hours per day) followed by four > hands-on, collaborative challenges which will be carried out in the > month of August. The results of the challenges will be presented on > September 10 and 11, 2020. > > More up-to-date information on the list of speakers and the challenges > can be found at the 2020 Neuromorphic Workshop website > (https://sites.google.com/view/telluride2020/home). The workshop is > free to attend and is open to everyone upon registration. > > Regards, > > The Telluride Neuromorphic Cognition Engineering 2020 Organizing Team > > -- > Emre Neftci, PhD, > Assistant Professor, Neuromorphic Machine Intelligence Lab > (http://nmi-lab.org/), > Department of Cognitive Sciences, > 2308 Social & Behavioral Sciences Gateway Building, > UC Irvine 92697-5100 -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/), Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100 From huiyu_kang at fudan.edu.cn Wed Jul 22 04:53:30 2020 From: huiyu_kang at fudan.edu.cn (=?utf-8?Q?huiyu=5Fkang?=) Date: Wed, 22 Jul 2020 16:53:30 +0800 Subject: Connectionists: =?utf-8?q?=E3=80=90TRiBS_Online_Journal_Club_02?= =?utf-8?q?=E3=80=91ISTBI=2CFudan_University?= Message-ID: An HTML attachment was scrubbed... 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Name: 5B1137EB-F861-415B-B870-03A429DEFA75.png Type: image/png Size: 73484 bytes Desc: not available URL: From hcomp.publicity at gmail.com Wed Jul 22 05:50:58 2020 From: hcomp.publicity at gmail.com (HCOMP Publicity) Date: Wed, 22 Jul 2020 12:50:58 +0300 Subject: Connectionists: HCOMP 2020: Second round of applications for Doctoral Consortium Message-ID: <2835A60E-C8D2-496F-A101-86F7F0D8BA2D@gmail.com> * We apologize for cross-posting * *** Covid-19 announcement *** The HCOMP organisers are monitoring the ongoing situation around Covid-19 closely. We plan to hold the conference at the same dates, either online, or, if it?s safe and the restrictions allow it, at the planned venue in the Netherlands. We aim to disclose further details in a few months. In the meantime, we?re looking forward to your submissions! *** HCOMP 2020: Second round of applications for Doctoral Consortium *** ? Hilversum, the Netherlands ? October 26-28 2020 ? Website: https://www.humancomputation.com ? Twitter: @hcomp_conf IMPORTANT DATES (Deadline extension) - ALL TIMES ARE MIDNIGHT CEST (AMSTERDAM TIME) ? August 11: Second round of Doctoral Consortium applications due ? September 8: Second round of Doctoral Consortium notifications sent HCOMP?s annual Doctoral Consortium provides doctoral students with a unique opportunity to meet each other and experienced researchers in the field. Students will be mentored by a group of faculty who are leaders in the diverse specialties that make up the HCOMP field. The objectives of the Doctoral Consortium are to provide students with an opportunity: ? To present and discuss their research with experienced researchers: the Doctoral Consortium Mentors; ? To establish a supportive community, including other doctoral students at a similar stage of their dissertation research; ? To provide a platform for broader exposure for their research, both in general and in support of future a job search. AREAS OF INTEREST HCOMP is unique in the diversity of disciplines it draws upon, and contributes to, ranging from computer science, artificial intelligence, and human-computer interaction, to economics and the social sciences, all the way to digital humanities, policy, and ethics. This year, we especially encourage works that generate new insights into the quality (or qualities) of human-annotated datasets, including elements such as reliability and replicability of human computation and crowdsourcing experiments, novel metrics for aggregation of results, and holistic approaches to deal with bias, fairness, and interpretability. ELIGIBILITY Applicants must be currently enrolled in a full-time PhD program and have written, or be close to completing, a thesis proposal (or equivalent). We will give preference to students who have proposed or are about to propose but are far enough from completing their thesis that the feedback they receive at the event can impact their work. Before submitting, students should discuss this criterion with their advisor or supervisor. ATTENDANCE Those accepted are required to present their work at the Doctoral Consortium. Participants will also likely be required to present a poster on their work during the poster session at the main conference. SELECTION Submissions will be reviewed by a Program Committee of Doctoral Committee Mentors, with selection based upon the expected potential of both the student and their proposed work, as well as the expected benefit to the student from participation. Priority will be given to students whose research goes beyond locally available expertise at their home institutions. FINANCIAL SUPPORT More information about financial support coming soon. APPLICATION Applicants must submit a solely-authored paper in English containing: 1) a Doctoral Research Overview; and 2) a Supplemental Paragraph. DOCTORAL RESEARCH OVERVIEW. Please summarize your doctoral research, including the following sections: ? Motivation for the proposed research; ? Background and related work (including key references); ? Description of the proposed research, including key research questions and planned methodology to be used for investigating these research questions; ? Proposed experiments if appropriate; Any preliminary evaluation and findings are welcomed, but this is not required.; ? Specific research issues and/or challenges (do not skip these; the consortium is about helping you solve issues, not boasting about the issues you already solved!). SUPPLEMENTAL PARAGRAPH. Please write a paragraph explaining: ? Why you want to participate in the consortium at this point in your doctoral studies and how you expect to benefit from the consortium; ? The status of your dissertation proposal (writing, submitted, presented, or approved); ? Your expected (approximate) defense date. LENGTH AND ORGANIZATION. Your paper should be no more than 4 pages in total: 3 pages for the Doctoral Research Overview (including all figures and references), and the 4th page being the Supplemental Paragraph. The first page must contain the title of the paper, full author name, affiliation and contact details, an abstract of up to 250 words, and up to 3 keywords describing the research topic areas. FORMATTING. Papers must be formatted in AAAI two-column, camera-ready style; please refer to the AAAI 2019 Author Kit for details. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5? x 11?) paper, using Type 1 or TrueType fonts. It is the responsibility of the student to ensure that their submission uses no unusual formatting and is printable on a standard printer. The AAAI copyright block is not required for works-in-progress or demo submissions, as they are not included in the formal proceedings. Please see below for information regarding dissemination. SUBMISSION. Electronic submission through the HCOMP-20 EasyChair (https://easychair.org/conferences/?conf=hcomp2020 ) paper submission site is required on or before the deadline listed above. We cannot accept submissions by e-mail or fax. Authors will receive confirmation of receipt of their submissions, including an ID number, shortly after submission. HCOMP will contact authors again only if problems are encountered with papers. DISSEMINATION. Submissions will be distributed only to mentors and other attendees of the doctoral consortium. Proceedings of the Doctoral Consortium will NOT be archived. As such, students may freely submit their research contributions for official publication in other venues. Participant names and university affiliations, as well as paper titles and abstracts, will be publicized on the conference website and in the conference program for the poster session. QUESTIONS? Please contact the Doctoral Consortium Chairs. Maribel Acosta, at maribel.acosta at kit.edu Markus Krause, at public.markus.krause at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From ben.s.allnewsletters at gmail.com Wed Jul 22 09:26:35 2020 From: ben.s.allnewsletters at gmail.com (Benjamin Stauch) Date: Wed, 22 Jul 2020 15:26:35 +0200 Subject: Connectionists: FW: ESI SyNC 2020 - the virtual edition! In-Reply-To: <5a6a05c0dc3646009d55d50a4645d379@esi-frankfurt.de> References: <5a6a05c0dc3646009d55d50a4645d379@esi-frankfurt.de> Message-ID: <005b01d6602b$b9364490$2ba2cdb0$@gmail.com> Dear Neuroscience community, we are happy to announce the 7th ESI Systems Neuroscience Conference. Given the current situation this year will be a special one. ESI SyNC will be a fully virtual conference! We will do our best to make it as authentic of an experience as we can and hope you'll help us with your enthusiastic participation. This year's topic will be Causal Approaches in Neuroscience, including a focus session on Viral Approaches in Monkeys. The conference will take place 24th - 26th August 2020 in the afternoon of each day. Confirmed speakers ---------------------------------------------------------------------------- ----------------------- Conference: Focus session: Richard Born Michael Schmid Viviana Gradinaru Stefan Treue Ken-ichi Inoue Azadeh Yazdan Anna Mitchell Eyal Seidemann Hamutal Slovin Bozhi Tian ---------------------------------------------------------------------------- ------------------------ Registration is now open. Limited places are available. For registration please follow this link https://survey3.gwdg.de/index.php?r=survey/index &sid=131388&lang=enor check here: https://www.esi-frankfurt.de/newevent/ or our Twitter announcement: https://twitter.com/ESIneuroscience/status/1285109935391625216 We are looking forward to an exciting conference with you! The ESI SyNC 2020 organizing committee: Wolf Singer Pascal Fries Renata Vajda Athanasia Tzanou Benjamin Stauch Eleni Psarou Frederike Klein Iris Grothe Rasmus Roese -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 261480 bytes Desc: not available URL: From junfeng989 at gmail.com Wed Jul 22 09:42:13 2020 From: junfeng989 at gmail.com (Jun Feng) Date: Wed, 22 Jul 2020 21:42:13 +0800 Subject: Connectionists: [Submission Deadline: Sep. 1][10+ Special Issues] CFP IEEE DependSys 2020: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, Dec. 14-16, Fiji Message-ID: [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (IEEE DependSys 2020), 14-16 December 2020, Fiji [Submission Deadline: Sep. 1][10+ Special Issues] http://cse.stfx.ca/~dependsys/2020/index.html IEEE DependSys 2020 conference is the 6th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2020 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 10+ SCI & EI indexed prestigious journals (confirmed). 1. Information Fusion (IF: 13.669) SI on Fusion from Big Data to Smart Data https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-fusion-from-big-data-to-smart-data 2. Information Fusion (IF: 13.669) SI on Data Fusion for Trust Evaluation https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-data-fusion-for-trust-evaluation 3. IEEE Transactions on Industrial Informatics (IF: 9.112) SI on Digital Twinning: Integration AI-ML and Big Data Analytics for Virtual Representation http://www.ieee-ies.org/images/files/tii/ss/2020/Digital_Twinning_Integrating_AI-ML_and_Big_Data_Analytics_for_Virtual_Representation_2020-4-30.pdf 4. Future Generation Computer Systems (IF: 6.125) SI on Artificial Intelligence for Cyber Defence and Smart Policing https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/artificial-intelligence-for-cyber-defence-and-smart-policing 5. Journal of Cloud Computing (IF: 2.788) SI on Security and Privacy Issues for AI in Edge-Cloud Computing https://journalofcloudcomputing.springeropen.com/securityprivacyaiedgecloud?from=singlemessage 6. Software: Practice and Experience SI on Software and Hardware Co-Design for Sustainable Cyber-Physical Systems https://onlinelibrary.wiley.com/pb-assets/assets/page/journal/1097024x/SI_softandhard.pdf 7. MDPI Electronics (IF: 2.412) SI on Blockchain-based Technology for Mobile Application https://www.mdpi.com/journal/electronics/special_issues/BTMA 8. IEEE/CAA Journal of Automatics Sinica (IF: 5.129) SI on Blockchain for Internet-of-Things and Cyber-Physical Systems: Emerging Trends, Issues and Challenges http://www.ieee-jas.org/news/news_en/9248195c-6d90-4868-9962-263ed9ba12f3_en.htm 9. IEEE Transactions on Network Science and Engineering (IF: 5.213) SI on Computing and Networking for Cyber-Physical-Social Systems https://www.comsoc.org/publications/journals/ieee-tnse/cfp/computing-and-networking-cyber-physical-social-systems 10. IEEE Access (IF: 3.745) SI on Reliability in Sensor-Cloud Systems and Applications (SCSA) https://ieeeaccess.ieee.org/special-sections/reliability-in-sensor-cloud-systems-and-applications-scsa/ * More special issues will be added later. ================== Important Dates ================== Workshop Proposal/Special Session Due: 30 June 2020 Submission Deadline: 1 September 2020 Authors Notification Date: 15 October 2020 Final Manuscript Due: 10 November 2020 Conference Date: 14-16 December 2020 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N27703) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Mohammad Zulkernine, Queen's University, Canada - Aniello Castiglione, University of Naples Parthenope, Italy - Alireza Jolfaei, Macquarie University, Australia Program Chairs - Salimur Choudhury, Lakehead University, Canada - Qinghua Lu, CSIRO, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Fiji, Fiji - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.bilen at ed.ac.uk Wed Jul 22 14:16:07 2020 From: h.bilen at ed.ac.uk (Hakan Bilen) Date: Wed, 22 Jul 2020 19:16:07 +0100 Subject: Connectionists: Two Postdoc Positions in Computer Vision at the University of Edinburgh Message-ID: <717f8c3c-e52d-fa97-1e86-ddae3f63671b@ed.ac.uk> Dear all, We are looking for two creative and motivated postdoc candidates to work with us in Computer Vision to join Dr Bilen 's research group in the School of Informatics, the University of Edinburgh. The positions are for a year with a possible extension to second year. The research projects aim to learn multi-domain/task deep representations for various computer vision problems and involve collaboration with the Visual Geometry Group in the University of Oxford and University of Bristol. Essential requirements are: * PhD in Computer Vision, Machine Learning, or closely related area, * Strong publication record at top computer vision and/or machine learning conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR) and journals (PAMI, IJCV), * Ability to work independently and manage own academic research and associated activities, * Highly motivated and willing to work with PhD students, * Proficient in English, both written and spoken. If you are interested, please provide a CV with your publication list and a brief statement of research interests (describing how past experience and future plans fit with the advertised position). The positions are available from 1 December 2020. There is no application deadline, the position will be open till the candidate is appointed. All documents should be in electronic format and sent via e-mail to Dr Hakan Bilen with the title [Prospective Postdoc] as soon as possible (Email: hbilen at ed.ac.uk). Hakan Bilen -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: not available URL: From hocine.cherifi at gmail.com Thu Jul 23 08:56:45 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 23 Jul 2020 14:56:45 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2020 Madrid Spain December 1-3, 2020 Message-ID: **COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions in many countries, COMPLEX NETWORKS 2020 is planned fully online. Registration fees will be adjusted accordingly**. (**Apologies for any cross posting)* *Ninth** International Conference on Complex Networks & Their Applications* *Madrid, Spain December 1- 3, 2020* *http://www.complexnetworks.org * You are cordially invited to submit your contribution until September 02, 2020. *Speakers * ? Leman Akogu Carnegie Mellon University, USA ? Stefano Boccaletti ISC CNR, Italy ? Fosca Giannotti KDD Lab Pisa, Italy ? J?nos Kert?sz Central European University Hungary ? Vito Latora Queen Mary, University of London UK ? Alex ?Sandy? Pentland MIT Media Lab, USA ? Nata?a Pr?ulj Barcelona Supercomputing Center Spain *Tutorials** (**November 30, 2020**)* ? David Garcia Complexity Science Hub Vienna Austria ? Mikko Kivel? Aalto University Finland *Conference publications* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome*.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* *Post-conference publications* Extended versions of unpublished contributions (papers & abstracts) will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Frontiers in Big Data o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *Topics * include, but are not limited to o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *General Chairs* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* *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 bls at ieee.org Thu Jul 23 10:46:21 2020 From: bls at ieee.org (Bertrand Le Saux) Date: Thu, 23 Jul 2020 16:46:21 +0200 Subject: Connectionists: =?utf-8?q?Call_for_contributions=3A__Online_confe?= =?utf-8?b?cmVuY2Ug4oCcU3BhY2UgYW5kIEFJ4oCdLCBTZXB0ZW1iZXIgNCAoY29s?= =?utf-8?q?ocated_with_ECAI2020=29?= Message-ID: ----------------------------------------------------------------------------------------------------- Call for contributions: Online conference ?Space and AI?, September 4 (colocated with ECAI2020) The ESA-CLAIRE AI Special Interest Group on Space ( http://claire-ai.org/sig-space/) is organizing its first online conference on the use of artificial intelligence (AI) for applications in space technology. The conference, organized in association with ECAI ( http://ecai2020.eu/), will be a full-day event and will take place on Friday, SEP 4 (a tutorial and workshop day for ECAI). We are inviting presentations on topics concerning different AI methods (including, but not limited to, e.g., planning, machine learning) and different areas of space technology (including, but not limited to, e.g., space operations, earth observation). Please send to spaceandai at uni.lu before July 31th an email containing: - names and affiliations of authors - designated speaker - the title of your talk - a 200-word abstract - the desired length of your presentation (10 or 20 minutes including Q&A) Presentations of original unpublished work or of recently published work are both welcome: In the latter case, please include a reference to and a copy of the relevant publication. ----------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabrizio.pastore at uni.lu Thu Jul 23 12:24:28 2020 From: fabrizio.pastore at uni.lu (Fabrizio PASTORE) Date: Thu, 23 Jul 2020 16:24:28 +0000 Subject: Connectionists: University of Luxembourg: Research Associate (Postdoc) in Machine Learning and Software Engineering Message-ID: <2CC10923-9E00-4692-9856-E75A05138DC6@uni.lu> The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD holders in the general areas of machine learning and software engineering within its SVV research group. For further information, you may refer to http://emea3.mrted.ly/2i5w2 ? Fixed-term contract 2 years (CDD), full-time 40 hrs/week ? Number of positions: 1 ? Start day: Fall 2020, upon agreement ? Ref: RCREQ0004458 ? Highly competitive salary ***Your Role This is a fully funded position for 2 years within the research project "FUNTASY - Functional Safety for Autonomous Systems". A possible extension for one additional year is already covered by the project funding. FUNTASY concerns the development of automated techniques to support functional safety practices in autonomous systems. Autonomous systems like self-driving cars have the potential to reshape our future by automating complex tasks and preventing human errors; unfortunately, their adoption in safety-critical contexts remains under debate. Indeed, being based on black-box machine learning solutions such as Deep Neural Networks, they cannot undergo traditional software safety certification processes that rely on the understandability of the system implementation. FUNTASY will overcome such limitations by providing automated solutions to (1) verify autonomous systems software, (2) generate explanations for software behaviour, (3) improve autonomous systems software. Enabling solutions will be simulation technology, evolutionary algorithms, and methods to capture and explain the internal DNN behaviour. FUNTASY will be a collaboration between the University of Luxembourg?s SnT Centre and IEE ? an international sensing systems supplier based in Luxembourg (www.iee.lu). The project research directions include, but are not limited to, the automated generation of inputs to verify DNN-based components, the interpretation and explanation of DNNs, the identification of strategies to retrain DNNs efficiently, the improvement of DNN robustness, adversarial testing. The successful candidate will work with Dr. Fabrizio Pastore, Chief Scientist II at SnT, industrial supervisors from IEE, and will join the SVV research group, headed by Prof. Lionel Briand. SVV focuses on the development and design of reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, primarily software testing and analysis. For further information, you may refer to https://wwwfr.uni.lu/snt/research/software_verification_and_validation_lab The position holder will be required to perform the following tasks: - Contribute to the project ?FUNTASY - Functional Safety for Autonomous Systems? - Carry out research in the predefined areas - Disseminate results through scientific publications - Present results in well-known international conferences and workshops - Coordinate research activities and deliver outputs - Implement solutions - Provide guidance to PhD and MSc students - Organize relevant workshops and demonstrations ***Your Profile Qualification: The candidate should possess a PhD degree in Computer Science, Machine Learning, or Software Engineering. Experience: The ideal candidate should have some knowledge and experience in a number of the following topics: ***We offer The University offers a two-year employment contract and may be extended up to five years. The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created university. ***Further Information Applications, written in English, should be submitted ONLINE and should include: - Curriculum Vitae (including your contact address and work experience, list of publications) - Cover letter indicating the research area of interest and your motivation - A research statement (max 1 page) - Contact information for 3 referees - Early submission is encouraged, applications will be processed upon arrival. ***Further information For further information, go to http://emea3.mrted.ly/2i5w2 or contact fabrizio.pastore at uni.lu Please apply ONLINE formally through http://emea3.mrted.ly/2i5w2. Applications by email will not be considered. From lpandolfo at uniss.it Fri Jul 24 01:51:46 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Fri, 24 Jul 2020 07:51:46 +0200 Subject: Connectionists: [Last CfP- Extended Deadline] CAUSAL 2020: Workshop on Causal Reasoning and Explanation in Logic Programming Message-ID: <4318cb36-56b4-a512-7191-5948a7424f26@uniss.it> [EXTENDED DEADLINE: Submission deadline August 1st 2020] Workshop on Causal Reasoning and Explanation in Logic Programming ????????????????????????????? CALL FOR PAPERS ?????????????????????????? *** CAUSAL 2020 *** ????????????????????????? (September 17 or 18, 2020) ???? Workshop on Causal Reasoning and Explanation in Logic Programming ????????? CAUSAL 2020 is a workshop co-located with ICLP 2020 ???????????????? in University of Calabria, Rende, Italy. ????? NOTE ABOUT COVID-19: We will follow advice from the ICLP2020 organizers on the situation, and we will revise our workshop timeline and ???????????????? other procedures accordingly if needed. CAUSAL 2020 will be a fully virtual workshop. More details will be announced soon. CAUSAL 2020 IMPORTANT DATES ----------------------- * Paper submission: August 1 2020 * Notification: August 15 2020 * Final Versions: August 30th 2020 * Workshop Date: September 17th or 18th 2020 ------------------------ Sophisticated causal reasoning has long been prevalent in human society and continues to have an undeniable impact on the advancement of science, technology, medicine, and other significant fields. From the development of ancient tools to modern roots of causal analysis in business and industry, reasoning about causality and having the ability to explain causal mechanisms enables us to identify how an outcome of interest came to be and gives insight into how to bring about, or even prevent, similar outcomes in future scenarios. This workshop aims to bring together researchers and practitioners of logic programming with a dedicated focus on methods and trends emerging from the study of causality and explanation. We welcome the submission of papers on systems, tools, and applications of logic programming methods for causal reasoning and explanation. In particular, we encourage submissions presenting recent developments, including works in progress. The workshop will present the latest research and application developments in these areas and provide opportunities to discuss current and future research directions and relationships to other fields (e.g. Machine Learning, Explainable AI, Diagnosis, ?Natural Language Processing and Understanding, Philosophy of Science). An important expected outcome of this workshop is to collect first-hand feedback from the ICLP community about the role and placement of causal reasoning and explanation in the landscape of modern computer theory as well as in the software industry. TOPICS ------ Topics of interests include (but are not limited to): * Modeling causal theories in logic programming * Formalization of types of causes: sufficient, necessary, actual, etc * Causality, temporal reasoning and action theories * Causality and counterfactual reasoning * Causality, learning and experimental design * Causality and probability * Causality and equivalence * Causality and ontology * Relating LP based causality and Causal Networks * Challenging problems and benchmark examples * Justifications and argumentation * Explanations for diagnosis and debugging * Tools, systems and applications Submissions must describe original research and be prepared using the Springer LNAI/LNCS format.? The workshop invites submissions of two types: * Full papers no longer than 13 pages (excluding references) * Extended abstracts no longer than 3 pages (excluding references) https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines Please submit your paper via EasyChair: https://easychair.org/my/conference?conf=causal2020 At least one co-author of each accepted paper must register for and attend the workshop. Please check the ICLP 2020 website for registration procedure and fees. https://iclp2020.unical.it/ ORGANIZERS ---------- Emily LeBlanc, US Naval Research Lab, USA, emily.leblanc at nrl.navy.mil Joost Vennekens, KU Leuven, Belgium Tran Cao Son, New Mexico State University, USA Pedro Cabalar, Corunna University, Spain Jorge Fandi?o, University of Potsdam, Germany Marcello Balduccini, Saint Joseph's University, USA Yuliya Lierler, University of Nebraska at Omaha, USA -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From felix.putze at uni-bremen.de Fri Jul 24 17:34:09 2020 From: felix.putze at uni-bremen.de (Felix Putze) Date: Fri, 24 Jul 2020 23:34:09 +0200 Subject: Connectionists: Workshop @ IEEE ISMAR: Workshop on Combining Mixed Reality and Brain-Computer Interfaces: Challenges and Opportunities (MR&BCI) Message-ID: In the context of Mixed Reality (MR), a neural user interface (or Brain-Computer Interfaces, BCI) can either be used as an explicit input modality (e.g. for entry of text or commands) or as an implicit channel to proactively adapt the 3D user interface, reducing the need for manual adjustments by the user or by the designer. Beyond real-time applications, neural and physiological data can also be used for evaluation purposes to test and improve MR interfaces and interaction paradigms, giving continuous data for important aspects of user experience which can be hard to assess otherwise, such as presence, workload, or attention. The topic of bringing MR technologies together with neural and physiological data is gaining more and more interest in the field as the necessary technical components are becoming more mature and widespread. In this workshop, at the (virtual) IEEE ISMAR 2020 conference, we will feature presentations of original research, work-in-progress, tools and data sets, as well as challenge and perspective papers on the combination of neural and/or physiological interfaces with MR technologies and applications. Given the restrictions on research involving participants during the COVID-19 pandemic, we also encourage interested participants to submit synthesizing works (e.g., reviews and meta-analyses) or planned and formally preregistered studies of relevance. Organizers: Felix Putze, University of Bremen Hakim Si-Mohammed, University of Lille Anatole L?cuyer, Inria Rennes Lisa-Marie Vortmann, University of Bremen See also our workshop website to keep up to date about news regarding the submission process, announcement of keynote speakers, the workshop program and other important information: https://www.uni-bremen.de/csl/ismar-mr-bci-workshop-2020 Submission deadline: August 21th, 2020 Notification of acceptance: September 11th, 2020 Camera-ready manuscript due: September 21st, 2020 Workshop date: November 9th or 13th, 2020 -- Dr.-Ing. Felix Putze (he/him/his) E-Mail: felix.putze at uni-bremen.de Phone: +49 421 218 64272 University of Bremen Cognitive Systems Lab (CSL) Enrique-Schmidt-Stra?e 5 (Cartesium) 28359 Bremen -------------- next part -------------- An HTML attachment was scrubbed... URL: From alish.dipani at gmail.com Fri Jul 24 16:06:23 2020 From: alish.dipani at gmail.com (alish dipani) Date: Sat, 25 Jul 2020 01:36:23 +0530 Subject: Connectionists: Invitation for Summer Symposium on AI Research | 25th & 26th July 2020 In-Reply-To: References: Message-ID: Greetings from *SAiDL , BITS Pilani, Goa Campus!* Hope you are doing well. This email is to remind you to register on the crowdcast link below for our Summer Symposium on AI Research. After registering on crowdcast, you will get a reminder 10 minutes before the event starts. We hope to see all of you tomorrow and day after (*25th and 26th July*). The link for the Summer Symposium is as follows: https://www.crowdcast.io/e/summer-symposium-on-ai The schedule and time slots for the list of talks by our fantastic speakers are up on our website!! Check it out now by visiting the 'Schedule' page at https://bp-gc.in/symposium_2020 We will be live streaming the presentations simultaneously on YouTube, so you can use that link to watch in the event that the Crowdcast call is full. Note that the recorded live stream will be available on YouTube after the symposium is over. https://www.youtube.com/watch?v=Je2cETG-8o8 Best, SAiDL https://www.saidl.in/ On Mon, Jul 20, 2020 at 2:16 AM alish dipani wrote: > Greetings from *SAiDL*, > > We are enthralled to present our first-ever "*Summer Symposium on AI > Research*" in association with *Anuradha and Prashanth Palakurthi Centre > for Artificial Intelligence Research** (APPCAIR) (* > https://www.bits-pilani.ac.in/Goa/appcair/home*)*. It will be a *two-day > virtual event* so that you can attend this from the comfort of your home, > and it is completely *free*. Talks will cover *the current advancements > in Artificial Intelligence*. This event will also serve as a forum for > interaction between students pursuing similar career interests in AI. > > We have a fantastic lineup of speakers already confirmed, including:- > - *Dr. Manish Gupta*, Director at Google AI Research India, > - *Dr. Manik Varma*, Principal Researcher at Microsoft Research, > - *Prof. Jayashree Kalpathy-Cramer*, Associate Professor at Harvard > Medical School, > - *Prof. Ross D. King*, Turing Fellow at Turing Institute, > - *Prof. Vijay Janapa Reddi*, Associate Professor at Harvard University, > - *Prof. Balaraman Ravindran*, Professor at IIT Madras, > - *Dr. Aleksandra Faust*, Staff Research Scientist at Google Brain, CA > - *Dr. Carsen Stringer*, Group Leader at Stringer Lab, HHMI Janelia > Research Campus > - *Dr. Lovekesh Vig*, Senior Scientist at TCS Research. > > And this isn't even the complete list yet. > > You can find out more details about this event on our website: ( > https://sites.google.com/view/aisymposium2020/home). > Dates: *25th & 26th July 2020* > > To register, fill out the form: https://forms.gle/hdJDL9NgMjDWtSys9 > > For more updates, follow SAiDL on twitter: https://twitter.com/SforAiDL. > -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Fri Jul 24 17:23:12 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 24 Jul 2020 23:23:12 +0200 Subject: Connectionists: IEEE Congress on, Evolutionary Computation 2021 -- Call for Workshops In-Reply-To: <624a5289-66fa-ee1a-9dfe-a393b662b102@ibspan.waw.pl> References: <624a5289-66fa-ee1a-9dfe-a393b662b102@ibspan.waw.pl> Message-ID: <6e6a51d0-6afe-155d-4811-0adfafb5cae7@amu.edu.pl> Call for Workshops IEEE Congress on Evolutionary Computation 2021 Krak?w, Poland, 28.06-1.07.2021 https://cec2021.mini.pw.edu.pl IEEE CEC 2021 will host a few pre-Congress workshops, focusing on discussing contemporary topics in the Congress area. Workshops offer a technical community the opportunity to polarize ideas towards a common vision for a sub-field, or the development of a position on topic. Workshops can be organized around emerging research areas, challenging problems and industrial applications. Workshops may include tutorials, keynote / invited lectures, contributed papers and presentations, panel discussions. Other forms, structures and content are also possible. Organizers of accepted workshops are expected to prepare a workshop website and call for papers, publicize the workshop, gather submissions, conduct the reviewing process and decide upon the final workshop program. A workshop proposal should include * a workshop title and a short introduction to the topic, * aims and relevance of the proposed workshop to IEEE CEC 2021, * a list of potential speakers, * the expected length of the workshop (half a day or a full day), * the workshop tentative form and structure, * names, affiliations, websites and bios of the organizers. Papers accepted at a workshop will not be published in the main proceedings. Workshop organizers may, either, seek an independent publication such as a post-even special issue in a journal, or, organize a special session within IEEE CEC 2021. In the latter case, accepted papers will appear in the main conference proceedings. Proposals and inquiries, regarding workshops, should be addressed to the Workshop Chair: Maria Ganzha m.ganzha at mini.pw.edu.pl. ** Workshop proposals should be submitted by November 19th, 2020. ** All workshops will be held on June 28th, 2021. -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From nicolas.rougier at inria.fr Fri Jul 24 07:53:17 2020 From: nicolas.rougier at inria.fr (Nicolas P. Rougier) Date: Fri, 24 Jul 2020 13:53:17 +0200 Subject: Connectionists: PhD position in theoretical and experimental neuroscience Message-ID: PhD position in theoretical and experimental neuroscience Application deadline: 15/08/2020 What: PhD position in theoretical and experimental neuroscience Where: Bordeaux, France When: October 2020 (3 years duration) Who: Nicolas Rougier (Inria) & Arthur Leblois (CNRS) A PhD position is available at Inria Bordeaux Sud-Ouest center and the Institute of Neurodegenerative Disease in Bordeaux, France. Candidate profile ================= The future PhD candidate must have a ?strong experience at both the theoretical and experimental level?. In particular, the following qualities and skills will be highly valued, if not required: * Solid bases in maths and/or physics; * Previous experience in experimental neuroscience; * Programming experience (Python or similar coding language); * Experience in machine learning or data mining is a plus; * Good English reading/speaking skills. How to apply ============ Please send your application (CV, letter of motivation, and the names and email addresses of one or two persons who can provide recommendation letters) to Dr. Nicolas Rougier (nicolas.rougier at inria.fr) and Arthur Leblois (arthur.leblois at u-bordeaux.fr) before the 15/08/2020. Proposed research ================= Temporally precise movement patterns underlie many motor skills and innate actions, yet the origin of temporal control in motor behaviors remains unclear. While cortical motor regions traditionally have been viewed as encoding features of motor gestures, these models do not address how sequences of motor gestures are produced or appropriately timed. Recently, a number of studies have suggested that, beyond just representing features of motor output, motor regions may have intrinsic oscillatory dynamics or sequential dynamics to act as their own pattern generators. However, in the order of milliseconds, the neural and anatomical correlates of time processing are still largely unknown because the dominant model, which is based on internal clock fails at giving account on experimental data. Understanding the neural dynamics underlying the acquisition and performance of complex sensorimotor tasks has been hindered by the complexity of the underlying brain networks in common animal models used in neuroscience (e.g. rodents or primates). In particular, the complex interactions between cortical areas (primary and secondary motor cortex in rodents, motor, premotor and supplementary motor areas in primates) related to many different sensorimotor associations and motor skills is daunting. Conversely, in birds, the sensorimotor skill of song production and its learning has a dedicated set of interconnected brain nuclei known as the ?song system?, making them an outstanding model to study the neural mechanisms of vocal learning and more generally, of sensorimotor learning. Songbirds indeed rely on learned vocalizations to communicate during courtship or aggressive behaviours. Just as speech learning in humans, vocal learning in young birds requires the coordination of vocal muscles to reproduce previously experienced adult vocalizations. Song learning is also limited to a critical period during development and heavily relies on auditory feedback. The proposed research lies at the interface of neurophysiology, cognitive science, applied mathematics, and theoretical physics. The concepts and methods that will be used will draw on single neuron physiology, electrophysiological studies in behaving animals, statistical mechanics, dynamical system theory, and stochastic differential equations. To this end, we will combine a theoretical approach (development of a mathematical model of the timing system) and an experimental one (chronic neural recording in awake birds, behavioural manipulations). Therefore, a collaboration with a team of physiologists at the Institute of Neurodegenerative Diseases, and in particular with Arthur Leblois who has a long-established expertise in the neural mechanisms underlying vocal learning in songbirds. The model will be designed under the supervision of Nicolas Rougier who has extensive experience in computational modelling. Predictions of the model will then be tested experimentally by measuring neuronal activity in the brain areas controlling song timing in songbirds under the supervision of Arthur Leblois. Chronic electrophysiological recordings in singing birds are routinely performed in the lab of Arthur Leblois, and will be implemented in a protocol allowing the induction of plasticity in the duration of song syllables in young adult birds over short periods of time. From risto at cs.utexas.edu Sun Jul 26 23:42:31 2020 From: risto at cs.utexas.edu (Risto Miikkulainen) Date: Sun, 26 Jul 2020 20:42:31 -0700 Subject: Connectionists: "The Pulse of AI" podcasts Message-ID: <0E7EB725-315C-4C8B-BCE8-A0067951B689@cs.utexas.edu> Jason Stoughton?s ?The Pulse of AI? podcast series recently featured discussions with Stephanie Forrest, Joydeep Ghosh, Babak Hodjat, Quoc Le, Risto Miikkulainen, Jordan Pollack, and Ken Stanley on topics such as AutoML, Trustworthy AI, Open-ended AI, Biological vs. Computational Evolution, and Demystifying AI. The links to these podcasts, together with a more detailed list of questions discussed, are listed at https://evolution.ml/podcasts ? we hope you find them inspiring! -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Jul 27 07:40:43 2020 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 27 Jul 2020 14:40:43 +0300 Subject: Connectionists: Invitation to Summer short e-course on Deep Learning and Computer Vision for Autonomous Systems 2020, 17-18th August 2020 Message-ID: <04ba01d6640a$c31aeaa0$4950bfe0$@csd.auth.gr> Dear Autonomous Systems engineers, scientists and enthusiasts, you are welcomed to register in the 'Summer short e-course on Deep Learning and Computer Vision for Autonomous Systems 2020' with applications on autonomous cars, drones and marine vessels. It will take place on 17-18/8/2020 as an e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable everybody to study at own pace. The short e-course consists of 16 1-hour lectures organized in two parts (one per day): Part A lectures provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Mapping and Localization) and machine learning (Introduction to neural networks, Perceptron, backpropagation, Deep neural networks, Convolutional NNs). Part B lectures provide in-depth views of the various topics encountered in autonomous systems perception, ranging from vehicle localization and mapping, to target detection and tracking, autonomous systems communications and embedded CPU/GPU CVML computing environments. They also contain application-oriented lectures on autonomous drones, cars and marine vessels (e.g. for land/marine surveillance, search&rescue missions, infrastructure/building inspection and modeling). You can use the following link for course registration: http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/ Lecture topics, sample lecture ppts and videos can be found therein. For questions, please contact: Ioanna Koroni > You may also want to register to the complementing ?Programming course on Autonomous Systems? 19-21/08/2020: http://icarus.csd.auth.gr/autonomous-systems-2020/ providing skills for programming autonomous systems, focusing on drones (Pytorch, Tensorflow, OpenCV, CUDA, ROS, Gazebo, AirSim). The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Course description Part A (8 hours) 1. Introduction to autonomous systems imaging 2. Introduction in computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Introduction to neural networks, Perceptron, 6. Multilayer perceptron. Backpropagation 7. Deep neural networks. Convolutional NNs 8. Introduction to multiple drone imaging Part B (8 hours) 1. Localization and mapping 2. Deep learning for object/target detection 3. Object tracking and 3D localization 4. CVML software development tools 5. Fast convolution algorithms 6. Drone mission planning and control 7. Introduction to car vision 8. Introduction to autonomous marine vehicles Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Mon Jul 27 07:13:09 2020 From: suashdeb at gmail.com (Suash Deb) Date: Mon, 27 Jul 2020 16:43:09 +0530 Subject: Connectionists: Extn. of deadline lSCMl20 , in memory of life & work of Prof. L. Zadeh Message-ID: Hello esteemed colleagues, Warmest greetings. Hope all of you are well amidst the current unprecedented global scenario. Pls. stay vigilant & take utmost care. Thanks so much for all your help for 7th *lSCMl20, (technically co sponsored by IEEE Sweden Section, IEEE Computational Intelligence Society & IFSA), the annual flagship event of India Intl. Congress on Computational Intelligence & which is held in memory of life & work of Prof. Lotfi Zadeh * http://www.iscmi.us As already shared, the covid-19 pandemic had compelled us to organize lSCMl20 in *virtual mode*. Due to your effective promotional efforts, we have recd. very good response for the CFP*.* At the same time taking into account of the prevailing global academic scenario & accordingly on numerous requests from a no. of peers, we have extended the deadline for paper submission till *25th August, 2020*. Pls. share this info with your peers/students & if not already, urge them to consider submission. Thanks once more & with my personal best rgds to all, Suash General Chair, lSCMl20 -------------- next part -------------- An HTML attachment was scrubbed... URL: From vvsharma at mit.edu Mon Jul 27 08:20:14 2020 From: vvsharma at mit.edu (Vivek Sharma) Date: Mon, 27 Jul 2020 12:20:14 +0000 Subject: Connectionists: The Responsible Data Summit starts Tuesday In-Reply-To: <561d013c71b5797371fbe55c4.074ead013d.20200727055923.607284d9ff.5fc2b1f4@mail151.suw101.mcdlv.net> References: <561d013c71b5797371fbe55c4.074ead013d.20200727055923.607284d9ff.5fc2b1f4@mail151.suw101.mcdlv.net> Message-ID: Dear Friends and Colleagues, Together with MIT and UC Berkeley, we are organizing our Responsible Data Summit on Privacy, AI and the future of the data economy. I'm excited to cordially invite you all to our summit dated between 28-30th July, 0900-1530 hrs, PDT. The event will provide a unique opportunity for a group of researchers to have in-depth discussions on emerging technologies and projects at the frontier of Privacy, AI and DataEconomy. The event is free of charge. We are organizing a live event that will be streamed via YouTube with live (Twitter) Q&A's. Schedule and youtube link is available on https://responsibledata.ai/agenda-0728 and https://responsibledata.ai/agenda-0730. Stay tuned and don't hesitate to reach out to me in case of any questions. We would be thrilled if you could attend and kindly ask that you register here http://responsibledata.ai/. Join us and spread the word! If you would like to stay in touch, you are welcome to join us on slack and twitter : Slack channel: https://join.slack.com/t/responsibledataai/shared_invite/zt-g47mlb3p-bZlyoYA9Q_VsbM9YBp1Qig Twitter: https://twitter.com/dataeconomyai On behalf of the Organizing Committee: Dawn Song, Ramesh Raskar, Vivek Sharma, Evgenios M. Kornaropoulos, Xiaoyuan Liu, Alex Feerst, Moti Yung, Andrew Trask, Richard Janda, Yun William Yu, Kareem Shehata, Praneeth Vepakoma, Greg Storm, and Abhishek Singh best, Vivek -- Vivek Sharma, Karlsruhe Institute of Technology (KIT), Germany Massachusetts Institute of Technology (MIT), USA Harvard Medical School, Harvard University, USA Web: https://vivoutlaw.github.io/ ________________________________ From: Responsible Data Summit Subject: The Responsible Data Summit starts Tuesday View this email in your browser [https://mcusercontent.com/561d013c71b5797371fbe55c4/images/16762336-0162-46a5-882a-841ebcfc5f9e.png] See you at the Responsible Data Summit July 28 - 30 >From July 28 to July 30, we will be hosting live sessions for the Responsible Data in the Time of Pandemic track (July 28-29, see agenda) and the Responsible Data Technology and Policy in the Real World track (July 30, see agenda). Turing Award Winner Yoshua Bengio, Ron Rivest, Shafi Goldwasser, Godel Prize Winner Dan Boneh as well as many top leaders, innovators, thinkers will give talks, join panel sessions to share their thoughts. And, don't forget to forward this to others you think may be interested! Join Us During the summit, we will also host live Q&As on twitter in order to interact with the speakers. Please follow @dataeconomyai by clicking the button below and join the conversation. Follow us on Twitter In live sessions, we will explore: * How can we use data responsibly to fight both the current pandemic and infectious diseases in the future? * What are the new privacy technologies that are making the promise of big data a reality? * How can we better understand the nature of data and responsible use of data; what are workable definitions, potential narratives, economic theories, and legal frameworks? How can we help users to better control their data and rights to data and benefit more from a responsible data economy? Our goal is to tackle a single mission: building a responsible data economy. And this online convening is just the beginning. Join us in founding a new ethos on responsible data! [https://mcusercontent.com/561d013c71b5797371fbe55c4/images/76e53b58-de73-4150-856a-8ae358a3c2f0.png] Organized by researchers from [https://mcusercontent.com/561d013c71b5797371fbe55c4/images/24d79b75-6679-4a4a-bd11-bd362def4e47.png] Powered by the [https://mcusercontent.com/561d013c71b5797371fbe55c4/images/d231f39a-0c23-4160-aa01-4c4dfd1c9330.png] Copyright ? 2020 Oasis Labs, All rights reserved. Want to change how you receive these emails? You can update your preferences or unsubscribe from this list. -------------- next part -------------- An HTML attachment was scrubbed... URL: From brad at kairos-research.com Mon Jul 27 11:23:55 2020 From: brad at kairos-research.com (Brandon Minnery) Date: Mon, 27 Jul 2020 15:23:55 +0000 Subject: Connectionists: Industry Job Opportunity - Cognitive Scientist Message-ID: Greetings! Kairos Research is seeking to hire a creative, PhD-level Cognitive Scientist to help support our expanding Government-funded research portfolio in human and machine cognition. BACKGROUND: Kairos Research is a small business located in Dayton, OH, performing basic and applied research at the intersection of human and artificial intelligence. Current projects span topics such as human and machine collective intelligence, explainable AI, counterfactual reasoning in intelligence analysis, human performance optimization, and social media bot detection and threat characterization. The Cognitive Scientist position is a full-time, permanent position. As the company grows, the Cognitive Scientist will have the opportunity to initiate, lead and contribute to a wide range of research projects involving human and machine cognition. REQUIRED: 1) PhD in Cognitive Science, Psychology, Neuroscience, or Social Behavioral Sciences. Individuals with doctoral degrees in related disciplines may also apply. 2) Creative mindset. We seek candidates who enjoy developing their own original research ideas, who appreciate lively brainstorming sessions, and who are willing to venture outside their technical comfort zones. 3) Experience in designing and running experiments involving human participants, including familiarity with IRB procedures and processes. 4) Exceptional computational and data analysis skills. The candidate must be familiar with current best practices in statistical data analysis. 5) Strong interpersonal and communication skills. 6) Candidates must be either US citizens, permanent residents (green card holders), or eligible for permanent resident status. PREFERRED: (NOTE: No single candidate is expected to have all of these attributes.) 1) 2 years or more of postdoctoral experience. 2) Prior experience on research projects funded by the US Department of Defense (e.g., DARPA, ONR, AFRL, ARO) involving national security-related topics and use cases. 3) Experience with collective intelligence research topics and paradigms, including "wisdom of crowds" and team cognition. 4) Experience running experiments using online, distributed participant populations (e.g., Amazon Mechanical Turk). 5) Expertise in one or more cognitive modeling paradigms, such as ACT-R or Bayesian modeling frameworks. 6) Familiarity with current approaches in statistical AI and machine learning. COMPENSATION: Kairos Research offers a competitive compensation and benefits package, with salary commensurate with experience. CONTACT: Interested individuals should send CVs to: Brandon (Brad) Minnery, PhD brad at kairos-research.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From srodrigues at bcamath.org Mon Jul 27 10:50:08 2020 From: srodrigues at bcamath.org (Serafim Rodrigues) Date: Mon, 27 Jul 2020 16:50:08 +0200 Subject: Connectionists: Applications for prestigious La Caixa Junior Leader Fellowships Message-ID: To experienced postdocs, We are looking for candidates who have an interest in being hosted within our research group Mathematical, Computational and Experimental Neuroscience (MCEN) at BCAM (Basque Centre for Applied Mathematics): http://www.bcamath.org/en/ The La Caixa Foundation has announced 45 very competitive Junior Leader Fellowships.The Postdoctoral Junior Leader fellowships programme is aimed at hiring excellent researchers, of any nationality, who wish to continue their research career in Spain or Portugal in the STEM area (Science, Technology, Engineering and Mathematics). The objectives of this programme are to foster high-quality, innovative research in Spain and Portugal and to support the best scientific talent by providing them with an attractive, competitive environment in which to conduct excellent research. The fellows can carry their research at any university or research centre in Spain or Portugal. For details please refer to the links below: https://fundacionlacaixa.org/en/investigacion-y-becas/becas-de-la-caixa/posdoctorado-junior-leader/descripcion-del-programa?utm_source=newsletter&utm_medium=email&utm_campaign=junior-leader-en&utm_content=junio&utm_term= Programme Rules: https://fundacionlacaixa.org/documents/10280/675659/programme-rules-junior-leader-retaining-2021.pdf/3f179574-f435-aeda-68b7-df6388cc978d?t=1594278654148 If you are interested, please contact: srodrigues at bcamath.org regards Serafim -- Serafim Rodrigues Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues at bcamath.org | www.bcamath.org/srodrigues *(**matematika mugaz bestalde)* -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Tue Jul 28 05:36:29 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Tue, 28 Jul 2020 12:36:29 +0300 Subject: Connectionists: Multimedia Evaluation Benchmark (MediaEval 2020): Registration Now Open Message-ID: ******************************************************* Multimedia Evaluation Benchmark (MediaEval) MediaEval 2020 Registration Now Open https://multimediaeval.github.io ******************************************************* The Multimedia Evaluation Benchmark (MediaEval) offers challenges in the form of shared tasks. The goal of MediaEval is to develop and evaluate new algorithms and technologies for multimedia retrieval, analysis and exploration. MediaEval tasks are innovative, involving multiple modalities, (e.g., images, video, music, user interaction data, sensor data, lifelogging data) and focusing on the human and social aspects of multimedia. Our larger aim is to promote reproducible research that makes multimedia a positive force for society. MediaEval 2020 Tasks: Emotion and theme recognition in music Emotional Mario: Believable AI agents in video games FakeNews detection on social media Flood-related multimedia: Analyzing social media on natural disasters Insight for wellbeing: Multimodal personal health lifelog data analysis Medico medical multimedia NewsImages: The role of images in online news No-audio multimodal speech detection Pixel privacy: Quality camouflage for social images Predicting media memorability Scene change: Fun faux photos Sports video classification For details of the tasks and information on how to register visit: https://multimediaeval.github.io/editions/2020/ Tasks will start to release data at the end of July and submissions will be due 31 October. The MediaEval 2020 workshop will be an online event. It will be held at the beginning of December, exact dates to be announced. For more information see https://multimediaeval.github.io or contact Martha Larson m.larson at cs.ru.nl From cgf at isep.ipp.pt Tue Jul 28 05:46:39 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Tue, 28 Jul 2020 10:46:39 +0100 Subject: Connectionists: CFP: Special Issue on Foundations of Data Science - Machine Learning Journal Message-ID: 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 anna.gld at gmail.com Tue Jul 28 09:18:19 2020 From: anna.gld at gmail.com (Anna Rogers) Date: Tue, 28 Jul 2020 15:18:19 +0200 Subject: Connectionists: Final Call For Papers: Workshop on Insights from Negative Results (EMNLP 2020) Message-ID: (apologies for cross-posting) Final Call For Papers: Workshop on Insights from Negative Results (Nov 19 2020, co-located with EMNLP 2020) Workshop website: https://insights-workshop.github.io/ ======= Overview ======= Publication of negative results is difficult in most fields, but in NLP the problem is exacerbated by the near-universal focus on improvements in benchmarks. This situation implicitly discourages hypothesis-driven research, and it turns creation and fine-tuning of NLP models into art rather than science. Furthermore, it increases the time, effort, and carbon emissions spent on developing and tuning models, as the researchers have no opportunity to learn what has already been tried and failed. This workshop invites both practical and theoretical unexpected or negative results that have important implications for future research, highlight methodological issues with existing approaches, and/or point out pervasive misunderstandings or bad practices. In particular, the most successful NLP models currently rely on different kinds of pretrained meaning representations (from word embeddings to Transformer-based models like BERT). To complement all the success stories, it would be insightful to see where and possibly why they fail. Any NLP tasks are welcome: sequence labeling, question answering, inference, dialogue, machine translation - you name it. A successful negative results paper would contribute one of the following: * experiments on (in)stability of the previously published results due to hardware, random initializations, etc.; * ablation studies of components in previously proposed models, showing that their contributions are different from the initially reported; * datasets or probing tasks showing that previous approaches do not generalize to other domains or language phenomena; * extensions or annotations of existing datasets which show that prior successes are due to spurious statistical factors or annotation artifacts; * the respective contributions of pre-training vs fine-tuning to the end result; * cross-lingual studies showing that a technique X is only successful for a certain language or language family; * broadly applicable recommendations for training/fine-tuning, especially if the X that didn?t work is something that many practitioners would think reasonable to try, and if the demonstration of X?s failure is accompanied by some explanation/hypothesis. Some examples of insightful negative results papers are listed on the workshop website: https://insights-workshop.github.io/papers ============ Important Dates ============ * Anonymity period begins: July 15, 2020 * Submission deadline: August 15, 2020 * Notification of acceptance: September 29, 2020 * Camera-ready papers due: October 10, 2020 * Workshop: November 19, 2020 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). ========== Submissions ========== Submission is electronic, using the Softconf START conference management system. Submission link: https://www.softconf.com/emnlp2020/insights2020/ The workshop will accept short papers (up to 4 pages, excluding references), as well as 1-2 page non-archival abstract submissions for papers published elsewhere (e.g. in one of the main conferences or in non-NLP venues). The goal of this event is to stimulate a meaningful community-wide discussion of the deep issues in NLP methodology, and the authors of both types of submissions will be welcome to take part in our virtual get-togethers. Both research papers and abstracts must follow the EMNLP 2020 two-column format. Official style sheets: https://2020.emnlp.org/files/emnlp2020-templates.zip Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. ======== Authorship ======== The author list for submissions should include all (and only) individuals who made substantial contributions to the work presented. No changes to the order or composition of authorship may be made after the paper submission deadline. =================== Citation and Comparison =================== You are expected to cite all refereed publications relevant to your submission, but you may be excused for not knowing about all unpublished work (especially work that has been recently posted and/or is not widely cited). In cases where a preprint has been superseded by a refereed publication, the refereed publication should be cited instead of the preprint version. Papers (whether refereed or not) appearing less than 3 months before the submission deadline are considered contemporaneous to your submission, and you are therefore not obliged to make detailed comparisons that require additional experimentation and/or in-depth analysis. For more information, see the ACL Policies for Submission, Review, and Citation. =================================== Multiple Submission Policy and Fast-Tracking =================================== We welcome dual submissions, as long as they are specified at the time of submission time. The authors submitting a paper that is under review for EMNLP 2020 should specify that in the submission form. The organizers would then be able to access the reviews and may decide to fast-track the paper to the workshop without additional reviews, if the paper is rejected from the main conference. If the paper has been rejected from another venue, the authors will have the option to provide the original reviews and the author response. The new reviewers will not have access to this information, but the organizers will be able to take into account the fact that the paper has already been revised and improved. =============== NEW: Ethics Policy =============== EMNLP workshops follow the conference guidelines for honouring the ACM Code of Ethics: https://www.acm.org/code-of-ethics Per conference guidelines, a paper that may raise ethical issues needs to explicitly discuss them, and that discussion will be taken into account in the review process. Specific to the topic of negative results is the problem of revisiting published papers that cannot be reproduced. In most cases irreproducibility comes down to general methodological problems, but if you have reason to believe the unreproducible result was deliberately fabricated, that should be discussed. =========== Reproducibility =========== Publishing negative results is not easy, partly because the author has the burden of proof that something truly does not work, rather than is caused by a bug. We encourage the authors to link code repositories in the camera-ready versions. At submission time, each submission can be accompanied by one PDF appendix for the paper, one PDF for prior reviews and author response, one .tgz or .zip archive containing software, and one.tgz or .zip archive containing data (all fully anonymized). The appendix can document preprocessing decisions, model parameters, feature templates, lengthy proofs or derivations, pseudocode, sample system inputs/outputs, and other details that are necessary for the exact replication of the work (see the official EMNLP reproducibility guidelines). However, the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review or download them. ============= Anonymity Period ============= We follow EMNLP anonymity policy. The anonymity period runs from 1 month before the submission deadline (starting July 15, 2020) up to the date when your paper is accepted or rejected (September 29, 2020). The papers should be properly anonymized and not publicized up until the acceptance notifications come out. ========== Presentation ========== All accepted papers must be presented at the workshop to appear in the proceedings. Authors of accepted papers must notify the program chairs by the camera-ready deadline if they wish to withdraw the paper. At least one author of each accepted paper must register for the workshop. Previous presentations of the work (e.g. preprints on arXiv.org) should be noted in a footnote in the camera-ready version (but not in the anonymized version of the paper). The workshop will take place online on November 19 2020, incorporating the best practices from other online conferences this year (such as ICLR and ACL). For now we are expecting to have pre-recorded oral presentations of the papers, live Q&A sessions (in which more than one author for each paper can take part), and also community discussion sessions and/or panels. -------------- next part -------------- An HTML attachment was scrubbed... URL: From eduardo.lopez at bitbrain.es Tue Jul 28 09:17:33 2020 From: eduardo.lopez at bitbrain.es (=?UTF-8?Q?Eduardo_L=C3=B3pez=2DLarraz?=) Date: Tue, 28 Jul 2020 15:17:33 +0200 Subject: Connectionists: Postdoctoral researcher - Sleep expert for neurotechnology research project at Bitbrain (Zaragoza, Spain) Message-ID: We are looking for a postdoctoral sleep researcher to join Bitbrain and work on an EU-funded neurotechnology research project. The main objective will be to exploit some of the most recent advances in sleep research to develop interventions based on cutting-edge wearable neurotechnology for sleep (and sleep-mediated cognitive processes) improvement. The candidate will join Bitbrain ?s interdisciplinary R&D department of applied neuroscience and neurotechnology and will lead all the R&D activities related to sleep. The candidate will have to: 1) design the R&D strategy of this new area in the company, which will require attending and participating in international events and networks, and 2) design and carry out a feasibility study in sleep improvement using innovative and practical technologies that can be used outside the lab. The position is initially offered for 12 months and includes a relocation and training package. *Requirements*: Sleep expert with a PhD degree in Neuroscience, Psychology, Biomedical Engineering or similar. Strong background in sleep research, understanding of EEG (required) and brain stimulation (desirable). Project management skills. Problem solving and potential of growth. English is required, Spanish is a plus. *Application Deadline*: 01.11.2020 More information and application procedure: https://euraxess.ec.europa.eu/jobs/545040 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Tue Jul 28 12:00:30 2020 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Tue, 28 Jul 2020 12:00:30 -0400 Subject: Connectionists: NEURAL NETWORKS, Aug. 2020 Message-ID: Neural Networks - Volume 128, August 2020 https://www.journals.elsevier.com/neural-networks Deep learning from label proportions with labeled samples Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, YingJie Tian A unified robust framework for multi-view feature extraction with L2,1-norm constraint Jinxin Zhang, Liming Liu, Ling Zhen, Ling Jing Training memristor-based multilayer neuromorphic networks with SGD, momentum and adaptive learning rates Zheng Yan, Jiadong Chen, Rui Hu, Tingwen Huang, ... Shiping Wen Generalized Guerra's interpolation schemes for dense associative neural networks Elena Agliari, Francesco Alemanno, Adriano Barra, Alberto Fachechi Regularized least squares locality preserving projections with applications to image recognition Wei Wei, Hua Dai, Weitai Liang Deep Multi-Critic Network for accelerating Policy Learning in multi-agent environments Joosep Hook, Varuna De Silva, Ahmet Kondoz Graph transform learning Angshul Majumdar Theory of adaptive SVD regularization for deep neural networks Mohammad Mahdi Bejani, Mehdi Ghatee Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences Izaskun Oregi, Javier Del Ser, Aritz Perez, Jose A. Lozano Sequential vessel segmentation via deep channel attention network Dongdong Hao, Song Ding, Linwei Qiu, Yisong Lv, ... Binjie Qin Fast Haar Transforms for Graph Neural Networks Ming Li, Zheng Ma, Yu Guang Wang, Xiaosheng Zhuang T-Net: Nested encoder-decoder architecture for the main vessel segmentation in coronary angiography Tae Joon Jun, Jihoon Kweon, Young-Hak Kim, Daeyoung Kim Accurate and efficient sequential ensemble learning for highly imbalanced multi-class data Chi-Man Vong, Jie Du Uni-image: Universal image construction for robust neural model Jiacang Ho, Byung-Gook Lee, Dae-Ki Kang Cross-modality paired-images generation and augmentation for RGB-infrared person re-identification Guan'an Wang, Yang Yang, Tianzhu Zhang, Jian Cheng, ... Hari Mohan Pandey Sparsity through evolutionary pruning prevents neuronal networks from overfitting Richard C. Gerum, Andr?Erpenbeck, Patrick Krauss, Achim Schilling Progressive learning: A deep learning framework for continual learning Haytham M. Fayek, Lawrence Cavedon, Hong Ren Wu Fixed-time synchronization of delayed Cohen-Grossberg neural networks based on a novel sliding mode Jian Xiao, Zhigang Zeng, Ailong Wu, Shiping Wen Common stochastic inputs induce neuronal transient synchronization with partial reset Siyang Leng, Kazuyuki Aihara Performance metrics for online seizure prediction Hsiang-Han Chen, Vladimir Cherkassky Multi-projection of unequal dimension optimal transport theory for Generative Adversary Networks Judy Yangjun Lin, Shaoyan Guo, Longhan Xie, Gu Xu Synchronization criteria for quaternion-valued coupled neural networks with impulses Xingnan Qi, Haibo Bao, Jinde Cao Impulsive synchronization of coupled delayed neural networks with actuator saturation and its application to image encryption Deqiang Ouyang, Jie Shao, Haijun Jiang, Sing Kiong Nguang, Heng Tao Shen Analog neuron hierarchy Jiri Sima Embedding and approximation theorems for echo state networks Allen Hart, James Hook, Jonathan Dawes Generalized norm for existence, uniqueness and stability of Hopfield neural networks with discrete and distributed delays Huamin Wang, Guoliang Wei, Shiping Wen, Tingwen Huang Approximation rates for neural networks with general activation functions Jonathan W. Siegel, Jinchao Xu Real-time multiple spatiotemporal action localization and prediction approach using deep learning Ahmed Ali Hammam, Mona M. Soliman, Aboul Ella Hassanien Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network Navarun Das, Elima Hussain, Lipi B. Mahanta BPGAN: Bidirectional CT-to-MRI prediction using multi-generative multi-adversarial nets with spectral normalization and localization Liming Xu, Xianhua Zeng, He Zhang, Weisheng Li, ... Zhiwei Huang From kordjams at msu.edu Tue Jul 28 17:36:54 2020 From: kordjams at msu.edu (Kordjamshidi, Parisa) Date: Tue, 28 Jul 2020 21:36:54 +0000 Subject: Connectionists: [CFP] Third Workshop on Spatial Language Understanding (SpLU) @EMNLP-2020 Message-ID: <9371863F-FAC5-4A66-AA20-E561E5B68BDB@msu.edu> --------------------------------------------------------------- CALL FOR PAPERS ---------------------------------------------------------------- Third Workshop on Spatial Language Understanding (SpLU) @EMNLP-2020 [https://spatial-language.github.io] Submission Deadline: August 15th, 2020 --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- One of the essential functions of natural language is to express spatial relationships between objects. The workshop aims to advance research on how spatial information is processed, extracted, understood and used in natural languages. Spatial language understanding is useful in many research areas and real-world applications including robotics, navigation, geographic information systems, traffic management, human-machine interaction, query answering and translation systems. Compared to other semantically specialized linguistic tasks, standardizing tasks related to spatial language seem to be more challenging as it is harder to obtain an agreeable set of concepts and relationships and a formal spatial meaning representation that is domain independent and that allows quantitative and qualitative reasoning. This has made research results on spatial language learning and reasoning diverse, task-specific and, to some extent, not comparable. Attempts to arrive at a common set of basic concepts and relationships as well as making existing corpora inter-operable, however, can help avoid duplicated efforts within as well as across fields and instead focus on further developments in the respective fields for automatic learning and reasoning. Existing qualitative and quantitative representation and reasoning models can be used for investigation of interoperability of machine learning and reasoning over spatial semantics. Research endeavors in this area could provide insights into many challenges of language understanding in general. Spatial semantics is also very well-connected and relevant to visualization of natural language and grounding language into perception, central to dealing with configurations in the physical world and motivating a combination of vision and language for richer spatial understanding. --------------------------------------------------------------- TOPICS OF INTEREST --------------------------------------------------------------- The topics include but not limited to: -Spatial meaning representations, ontologies, annotation schemes, linguistic corpora -Spatial information extraction from natural language -Spatial information extraction in robotics, navigational instructions -Text mining for spatial information in GIS systems -Quantitative and qualitative reasoning with spatial information -Spatial question answering -Extraction of spatial common sense knowledge -Visualization of spatial language in 2-D and 3-D (Combining spatial language & vision) -Spatial natural language generation -Grounded spatial language and dialogue systems --------------------------------------------------------------- IMPORTANT DATES --------------------------------------------------------------- Important Dates ? Submission Deadline: August 15th, 2020 ? Notification: September 29th, 2020 ? Camera Ready deadline: Oct 10, 2020 ? Workshop Day: November 19/20, 2020 --------------------------------------------------------------- INVITED SPEAKERS --------------------------------------------------------------- James Pustejovsky, Brandeis University Julia Hockenmaier, University of Illinois at Urbana-Champaign Yoav Artzi, Cornell University Douwe Kiela, Facebook Bonnie Dorr, Institute for Human and Machine Cognition --------------------------------------------------------------- SUBMISSION AND SELECTION PROCESS --------------------------------------------------------------- We encourage contributions with technical papers (EMNLP style, 8 pages without references) or shorter papers on position statements describing previously unpublished work or demos (EMNLP style, 4 pages maximum). EMNLP Style files are available [Here (https://2020.emnlp.org/files/emnlp2020-templates.zip)]. Please make submissions via Softconf [Here (https://www.softconf.com/emnlp2020/spatial-language/)]. Non-Archival option: EMNLP workshops are traditionally archival. To allow dual submission of work to SpLU and other conferences/journals, we are also including a non-archival track. Space permitting, these submissions will still participate and present their work in the workshop, will be hosted on the workshop website, but will not be included in the official proceedings. Please submit through softconf but indicate that this is a cross submission at the bottom of the submission form. --------------------------------------------------------------- ORGANIZING COMMITTEE --------------------------------------------------------------- Parisa Kordjamshidi, Michigan State University Archna Bhatia, Florida Institute for Human and Machine Cognition Malihe Alikhani, University of Pittsburgh Jason Baldrige, Google Mohit Bansal, UNC Chapel Hill Marie-Francine Moens, KU Leuven --------------------------------------------------------------- CURRENT PROGRAM COMMITTEE --------------------------------------------------------------- Steven Bethard, The University of Arizona Raffaella Bernardi, University of Trento Mehul Bhatt, ?rebro University - CoDesign Lab Yonatan Bisk, Carniege Mellon University Johan Bos, University of Groningen Asli Celikyilmaz Microsoft Research Joyce Chai, University of Michigan Angel Xuan Chang, Simon Fraser University Anthony Cohn, University of Leeds Guillem Collell, KU Leuven Simon Dobnik, University of Gothenburg Bonnie Dorr, IHMC Ekaterina Egorova, University of Zurich Zoe Falomir, Universitat Bremen Francis Ferraro, University of Maryland Baltimore Lucian Galescu, IHMC Lei Li, Bytedance Julia Hockenmaier, University of Illinois at Urbana-Champaign Bruno Martins, University of Lisbon Srini Narayanan, Google Inc. Mari Broman Olsen, Lionbridge AI Martijn van Otterlo, Tilburg University Kirk Roberts, UT Health Manolis Savva, Stanford University Jesse Thomason, University of Washington Clare Voss, ARL --------------------------------------------------------------- CONTACT --------------------------------------------------------------- Feel free to contact Organizing Committee at splu-2020 at googlegroups.com. ------------------------------------------- ------------------------------------------------ Kordjamshidi, Parisa Assistant Professor Computer Science and Engineering Michigan State University http://www.cse.msu.edu/~kordjams/ ------------------------------------------------ Kordjamshidi, Parisa Assistant Professor Computer Science and Engineering Michigan State University http://www.cse.msu.edu/~kordjams/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From crpalmec7 at alumnes.ub.edu Tue Jul 28 11:13:25 2020 From: crpalmec7 at alumnes.ub.edu (=?Windows-1252?Q?CRISTINA_PALMERO_CANTARI=D1O?=) Date: Tue, 28 Jul 2020 15:13:25 +0000 Subject: Connectionists: [CfP] Deadline extended - Special Issue on Computer Vision and Machine Learning for Healthcare Applications (PAA) In-Reply-To: References: , , , , , , , , Message-ID: [Apologies for multiples copies] Final call for papers Special Issue on Computer Vision and Machine Learning for Healthcare Applications (Pattern Analysis and Applications journal) Description The Computer Vision and Machine Learning for Healthcare Applications special issue aims to collect latest approaches and findings, as well as to discuss the current challenges of machine learning and computer vision based e-health and welfare applications. The focus is on the employment of single or multi-modal face, gesture and pose analysis. We expect this special issue to increase the visibility and importance of this area, and contribute, in the short term, in pushing the state of the art in the automatic analysis of human behaviors for health and wellbeing applications. Topics of interest include, but are not limited to: * Multi-modal integration * Psychological profiling from (audio)-visual and/or multi-modal data * Approaches based on psychology behavioral models * Mobile-based and human-computer interaction applications * User-understanding in human-computer interaction * Human behavior analysis for health and well-being support * Assistive technologies for supporting vulnerable people * Virtual avatars and coaching * Physical and psychological therapy systems * Assistive care * User acceptance of empathic assistive systems * Real-time applications * Datasets Important dates - extended! Paper submission deadline: 30th August, 2020. Acceptance notification: 30th November, 2020. Tentative publication date: January, 2021. Guest Editors Cristina Palmero (Universitat de Barcelona and Computer Vision Center, Spain) Sergio Escalera (Universitat de Barcelona and Computer Vision Center, Spain) Maria In?s Torres (University of the Basque Country (UPV/EHU) and SPIN RG, Spain) Anna Esposito (Universit? della Campania ?Luigi Vanvitelli", Italy) Alexa Mosegu? (Universitat de Barcelona and Computer Vision Center, Spain) Advisory Editors Bjorn W. Schuller (Imperial College London, UK, and University of Augsburg, Germany) Jeffrey Cohn (University of Pittsburgh and Carnegie Mellon University, USA) More information https://www.springer.com/journal/10044/updates/17569830 http://chalearnlap.cvc.uab.es/special-issue/39/description/ Aquest missatge, i els fitxers adjunts que hi pugui haver, pot contenir informaci? confidencial o protegida legalment i s?adre?a exclusivament a la persona o entitat destinat?ria. Si no consteu com a destinatari final o no teniu l?enc?rrec de rebre?l, no esteu autoritzat a llegir-lo, retenir-lo, modificar-lo, distribuir-lo, copiar-lo ni a revelar-ne el contingut. Si l?heu rebut per error, informeu-ne el remitent i elimineu del sistema tant el missatge com els fitxers adjunts que hi pugui haver. Este mensaje, y los ficheros adjuntos que pueda incluir, puede contener informaci?n confidencial o legalmente protegida y est? exclusivamente dirigido a la persona o entidad destinataria. Si usted no consta como destinatario final ni es la persona encargada de recibirlo, no est? autorizado a leerlo, retenerlo, modificarlo, distribuirlo o copiarlo, ni a revelar su contenido. Si lo ha recibido por error, informe de ello al remitente y elimine del sistema tanto el mensaje como los ficheros adjuntos que pueda contener. This email message and any attachments it carries may contain confidential or legally protected material and are intended solely for the individual or organization to whom they are addressed. If you are not the intended recipient of this message or the person responsible for processing it, then you are not authorized to read, save, modify, send, copy or disclose any part of it. If you have received the message by mistake, please inform the sender of this and eliminate the message and any attachments it carries from your account. -------------- next part -------------- An HTML attachment was scrubbed... URL: From steve at bu.edu Wed Jul 29 16:44:38 2020 From: steve at bu.edu (Grossberg, Stephen) Date: Wed, 29 Jul 2020 20:44:38 +0000 Subject: Connectionists: Lecture video about brain mechanisms that cause mental disorders In-Reply-To: References: , Message-ID: Dear Colleagues, I gave a pre-recorded keynote lecture on Zoom to the World Congress on Computational Intelligence on July 22 about how particular brain dysfunctions can cause symptoms of mental disorders like Alzheimer's disease, autism, amnesia, and neglect: http://sites.bu.edu/steveg/files/2020/07/Grossberg-WCCI-keynote-Glasgow-video.mp4 The lecture can also be found on my web page sites.bu.edu/steveg along with a pdf of its powerpoint slides. Best, Steve Grossberg Stephen Grossberg http://en.wikipedia.org/wiki/Stephen_Grossberg http://scholar.google.com/citations?user=3BIV70wAAAAJ&hl=en https://youtu.be/9n5AnvFur7I https://www.youtube.com/watch?v=_hBye6JQCh4 Wang Professor of Cognitive and Neural Systems Director, Center for Adaptive Systems Professor Emeritus of Mathematics & Statistics, Psychological & Brain Sciences, and Biomedical Engineering Boston University sites.bu.edu/steveg steve at bu.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From iccc.conference at gmail.com Wed Jul 29 07:09:10 2020 From: iccc.conference at gmail.com (Int. Conference on Computational Creativity) Date: Wed, 29 Jul 2020 12:09:10 +0100 Subject: Connectionists: =?utf-8?q?11th_International_Conference_on_Comput?= =?utf-8?q?ational_Creativity_=E2=80=93_Registration_open?= Message-ID: Dear Colleague, we are writing you as we understand you may be interested in the next edition of the International Conference on Computational Creativity (ICCC?20), which will happen between 7-11 September, fully online. Register before July 31 to get the following fees: ? Students 65? (+10? for extra events) ? Regular 120? (+15? for extra events) https://computationalcreativity.net/iccc20/registration/ In addition to the main conference, the following events will also take place: ? 4 Workshops: ? Casual Creators ? Future of Co-creative Systems ? Knowledge-based Systems in Computational Design ? Introduction to Generative Drawing with pencils, paper, C++ and openFrameworks (hands-on workshop) ? 3 Tutorials: ? A Deep Dive into Latent Space: Image Generation and Manipulation with StyleGAN2 ? Building Generative Art Tools ? Quantum Algorithms for Artistic Experiences ? Doctoral Consortium (still accepting submissions: https://computationalcreativity.net/iccc20/doctoral-consortium/) ? Sound Art Event For more information: https://computationalcreativity.net/iccc20/ Thank you and we hope to see you in ICCC?20! If you wish to receive more information about ICCC?20 subscribe: https://mailchi.mp/4eb141859ac4/iccc20registration 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 hcomp.publicity at gmail.com Wed Jul 29 08:36:14 2020 From: hcomp.publicity at gmail.com (HCOMP Publicity) Date: Wed, 29 Jul 2020 14:36:14 +0200 Subject: Connectionists: =?utf-8?q?HCOMP_2020=3A_Call_for_=E2=80=9CBlue_Sk?= =?utf-8?q?y_Ideas=22_Track?= Message-ID: <0A86DD64-76EE-45F1-AA69-63CF53683445@gmail.com> * We apologize for cross-posting * *** HCOMP 2020 is going virtual *** Over the last months, we have been closely monitoring the ongoing situation around Covid-19. Given the measures that have been put into place around the world, and the uncertainty about how the situation will evolve between now and the end of October, the HCOMP organising committee and AAAI have decided that in 2020 HCOMP will be a virtual conference. Our main concerns are with the members of our community and the challenges they might be facing in these unprecedented times. More details here: https://www.humancomputation.com/hcomp_goes_virtual.html . *** HCOMP 2020: Call for ?Blue Sky Ideas" Track *** Virtually from Hilversum, the Netherlands October 26-28 2020 Website: https://www.humancomputation.com Twitter: @hcomp_conf IMPORTANT DATES - All times are midnight CEST (Amsterdam time) August 7, 2020: Paper due August 20, 2020: Notification of acceptance September 20, 2020: Final camera-ready papers due SUBMISSION In cooperation with the Computing Community Consortium (CCC) , HCOMP 2020 invites submissions to a special ?Blue Sky Ideas? track. The emphasis of this track will be on visionary ideas, long term challenges, and opportunities in research that are outside of the current mainstream topics of the field. Submissions will be judged on the extent to which they expand the possibilities and horizons of the field or challenge existing assumptions prevalent in the field. Submissions to this track should follow the same formatting guidelines as submissions to the research track, but are limited to at most four pages in length for both submission and final publication. Accepted papers will be published in the conference proceedings and on the web. To encourage researchers to present truly visionary concepts, the CCC is offering prizes for up to three top papers in this special track: first prize $1000, second prize $750, and third prize $500, to be awarded. Note that paper submissions in this track will not receive full-fledged reviews as in the other tracks at HCOMP 2020. All submissions however will be screened to ensure that they meet the required criteria of being visionary in nature. A committee of experts will adjudicate the top-3 submissions to this track and nominate them for awards sponsored by CCC. Questions? Please contact the Blue Sky Ideas track Chairs. Ujwal Gadiraju, at u.k.gadiraju at tudelft.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.passarella at iit.cnr.it Wed Jul 29 05:15:01 2020 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Wed, 29 Jul 2020 11:15:01 +0200 (CEST) Subject: Connectionists: Extended deadline (31st August) - OSNEM Special Issue: Online/Mobile Social Networking at the time of COVID-19 Message-ID: <20200729091501.7A4B91630080@magneto.iit.cnr.it> ------------------------------------------------------------------------------ CALL FOR PAPERS Elsevier Online Social Networks and Media Journal (OSNEM) *** just received first SCIMAGO ranking: Q2 *** https://www.scimagojr.com/journalsearch.php?q=21100901582&tip=sid&clean=0 Special issue on Online/Mobile Social Networking at the time of COVID-19 ****** EXTENDED SUBMISSION DEADLINE ******** Submission Deadline: August 31st, 2020 ******************************************** http://www.journals.elsevier.com/online-social-networks-and-media/ ------------------------------------------------------------------------------ The outbreak of COVID-19 is revolutionising our daily habits and individual/social behaviour, with many physical activities being ''migrated'' to the online world. On the other hand, we are relying more and more on online services to track and fight the diffusion of the new virus. While these phenomena are a consequence of an emergency situation, it is very likely that such changes will have a significant long-term impact. Online and Mobile Social Networks are a particularly intriguing environment in this framework. The OSNEM usage has changed dramatically since the emergence of the pandemic. Moreover, OSNEM can be used to shed light, through big data analysis, on novel individual and social behaviours of people. Last but not least, OSNEM are increasingly used to track the pandemic, via Online and Mobile Social Platforms helping to track physical contacts between people. As the role of OSNEM is becoming ever more important, challenges and threats to privacy, trust in information, fake news, malicious behaviour are posing even more serious threats. This special issue seeks high-quality scientific articles (both theoretical and experimental) on the use of OSNEM at the time of COVID-19, to either characterise the human behaviour via large-scale OSNEM data analysis, or using OSNEM to fight the pandemic. Papers describing the process used to collect and use large-scale datasets from OSNEM platforms are welcome, provided datasets are made available to the research community. Topics include, but are not limited to: - Characterisation of OSNEM usage at the time of COVID-19 via OSNEM big data analysis - Models of individual and social behaviour through OSNEM big data during the pandemic - Characterisation of social network structures during pandemic via OSNEM large-scale data - Opinion formation, information diffusion and polarization related to COVID-19 - Tracking of COVID-19 diffusion through Online Social Networks analysis - Mobile Social Networking applications and services to fight the COVID-19 diffusion - COVID-19 e-health services based on OSNEM - Privacy issues in the use of Online and Mobile Social Networks to fight COVID-19 - Tools to detect and counteract disinformation and malicious behaviours related the COVID-19 phenomena - Tools to assess and verify trustworthiness of COVID-19 related information and accounts - OSNEM data-driven approaches to study COVID-19 related phenomena - Multidisciplinary applications of OSNEM (economics, medicine, society, politics, homeland security, etc.) to fight COVID-19 - COVID-19 publicly available OSNEM datasets: collection, usage and sharing Online Social Networks and Media is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behaviour. Manuscripts only based on questionnaires, even focused on the reported use of social media, are outside the scope of the journal. On the other hand, the journal welcomes papers which present analyses based on big data mined from social networks/media. ----------------------------------------------------------------------------- Schedule Manuscript submission deadline: August 31st, 2020 First notification: October 15th, 2020 Submission of revised paper: November 15th, 2020 Notification of acceptance: December 15th, 2020 Guest Editors Marco Conti, IIT-CNR, Italy Andrea Passarella, IIT-CNR, Italy ------------------------------------------------------------------------------ Instructions for submission Manuscripts must not have been previously published nor currently under review by other journals or conferences. Papers previously published in conference proceedings are eligible for submission if the submitted manuscript is a substantial revision and extension of the conference version. In this case, authors should indicate the previous publication(s) in the cover letter and are also required to submit their published conference article(s) and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www.editorialmanager.com/osnem/default.aspx. Please select ''VSI:COVID-19'' when you reach the ''Article Type'' step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on ''Online/Mobile Social Networking at the time of COVID-19''. Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website. For further information, please contact the guest editors at osnem at iit.cnr.it From hcomp.publicity at gmail.com Wed Jul 29 08:02:30 2020 From: hcomp.publicity at gmail.com (HCOMP Publicity) Date: Wed, 29 Jul 2020 14:02:30 +0200 Subject: Connectionists: HCOMP 2020: Second Call for Work-in-Progress and Demonstration Papers Message-ID: * We apologize for cross-posting * *** HCOMP 2020 is going virtual *** Over the last months, we have been closely monitoring the ongoing situation around Covid-19. Given the measures that have been put into place around the world, and the uncertainty about how the situation will evolve between now and the end of October, the HCOMP organising committee and AAAI have decided that in 2020 HCOMP will be a virtual conference. Our main concerns are with the members of our community and the challenges they might be facing in these unprecedented times. More details here: https://www.humancomputation.com/hcomp_goes_virtual.html . *** HCOMP 2020: Second Call for Work-in-Progress and Demonstration Papers *** Virtually from Hilversum, the Netherlands October 26-28 2020 Website: https://www.humancomputation.com Twitter: @hcomp_conf IMPORTANT DATES - All times are midnight CEST (Amsterdam time) August 7, 2020: Paper due August 20, 2020: Notification of acceptance September 20, 2020: Final camera-ready papers due OVERVIEW The Work-in-Progress and Demonstration track focuses on recent findings or other types of innovative or thought-provoking work, hands-on demonstration, novel interactive technologies and experiences relevant to the HCOMP community. We encourage practitioners and researchers to submit Works-in-Progress & Demo Track as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. To maximise visibility this year accepted Works-in-Progress and Demonstration submissions will also be presented with a 1-2 min PechaKucha presentation dedicated to the Works-in-Progress & Demonstration Track within the HCOMP plenary programme. Submissions are welcome from any area of computer science, artificial intelligence, and human-computer interaction, to economics and the social sciences, all the way to digital humanities, policy, and ethics. This year, we especially encourage work that generate new insights into the ?human computation? side of HCOMP, such as new understandings about human cognition, human-in-the-loop intelligence systems, human-AI interaction and collaboration, algorithmic and interface techniques for augmenting human abilities to perform tasks, and other issues that affect how humans collaborate with AI systems (such as bias, fairness, and interpretability). Works-in-progress A Work-in-Progress is a concise report of recent findings or other types of innovative or thought-provoking work relevant to the HCOMP community. The difference between Works-in-Progress and other contribution types is that Work-in-Progress submissions represent work that has not reached a level of completion that would warrant the full Refereed selection process. That said, appropriate submissions should make some contribution to the body of HCOMP knowledge, whether realized or promised. A significant benefit of a Work-in-Progress derives from the discussion between the author and conference attendees that will be fostered by the synchronous virtual presentation of the work. Work-in-Progress submissions are in the form of a ~2 page extended abstract, see Submission section. Demonstrations A demonstration is a high-visibility, high-impact forum of the HCOMP program that allows you to present your hands-on demonstration, share novel interactive technologies, and stage interactive experiences. Demonstrations will showcase this year?s most exciting human computation and collaborative human-AI prototypes and systems. If you have an interesting prototype, system, exhibit or installation, we want to know about it. Sharing hands-on experiences of your work is often the best way to communicate what you have created. The demonstration submission should describe the nature of the system as well as the expected form of interaction with the user and the audience. We advise preparing a demo video to address connectivity issues during the virtual demo session. Demonstrations submissions are in the form of a ~2 page extended abstract, see Submission section. SUBMISSION All submitted Works-in-Progress and Demos must represent original work, not previously published or under simultaneous peer-review for any other peer-reviewed, archival conference or journal. Submissions must be done in the form of up to 2 pages Extended Abstract (references can extend beyond the 2 pages) via the HCOMP-20 EasyChair Website . Submissions to Easychair is required on or before the deadline listed above. We cannot accept submissions by e-mail or fax. Authors will receive confirmation of receipt of their submissions, including an ID number, shortly after submission. HCOMP will contact authors again only if problems are encountered with papers. Formatting Extended Abstracts must be formatted in AAAI two-column, camera-ready style; please refer to the AAAI 2020 Author Kit for details. Papers must be in trouble-free, high-resolution PDF format, formatted for US Letter (8.5? x 11?) paper, using Type 1 or TrueType fonts. The AAAI copyright block is not required for works-in-progress or demo submissions, as they are not included in the formal proceedings. Please see below for information about publication. Supplemental Materials Authors are invited, but not required, to include supplemental materials such as executables and data files so that reviewers can reproduce results in the paper, images, additional videos, related papers, more detailed explanations, derivations, or results. These materials will be viewed only at the discretion of the reviewers, who are only obligated to read your paper itself. NOT Anonymized Authors should include information identifying themselves and their institutions for single-blind review. REVIEWS Submissions to the Works-in-Progress & Demonstration Track will be curated. This means that submissions will only be evaluated by the Works-in-Progress & Demonstration chairs (in coordination with other relevant conference chairs). Authors should expect to receive only very light feedback on their submissions. PUBLICATION AND PROCEEDINGS Accepted papers will NOT be included in official conference proceedings, and so may be submitted later to other conferences or journals for official publication. Accepted papers will be made available online on the conference website, and a summary of the WiP and Demo session will be provided in the AAAI AI Magazine. PRESENTING AT THE CONFERENCE Accepted submissions will be presented at the conference in two main modalities: 1) with a 1-2 min PechaKucha presentation in a plenary session dedicated to the Works-in-Progress & Demonstration Track within the HCOMP plenary programme, and 2) with an dedicated streaming session in which authors can present their work in their preferred presentation format (PPT presentation, open discussion, virtual poster, live demo, video demo etc). For organisation purposes authors are invited to mention their desired presentation format(s) at the time of submission, including (but not limited to) virtual poster, interactive demo, short video, short presentation. WORK-IN-PROGRESS AND DEMO AWARD HCOMP 2020 will recognize one best Works-in-Progress and one best Demonstration. Announcement of the winners will be done at the conference in a virtual plenary session together with the other conference award. The Works-in-Progress and Demonstration chairs will assess the Works-in-Progress and Demonstrations submissions to determine the winners (considering both quality of paper submission and presentation at the conference). CONTACTS Please contact the Works-in-progress and Demonstration Co-Chairs if you have any questions. Anna De Liddo, at anna.deliddo at open.ac.uk Alessandro Checco, at a.checco at sheffield.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Thu Jul 30 06:25:17 2020 From: evomusart at gmail.com (Juan Romero) Date: Thu, 30 Jul 2020 12:25:17 +0200 Subject: Connectionists: Call for Papers - EvoMUSART 2021 - 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (Seville, Spain, 7-9 April 2021) Message-ID: ------------------------------------------------ Call for papers for the 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) Please distribute (apologies for cross-posting) ------------------------------------------------ The 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will be held in Seville, Spain, on 7?9 April 2021, as part of the evo* event. EvoMUSART webpage: www.evostar.org/2021/evomusart The main goal of EvoMUSART is to bring together researchers who are using Artificial Intelligence techniques (e.g. Artificial Neural Network, Evolutionary Computation, Swarm, Cellular Automata, Alife) for artistic tasks such as Visual Art, Music, Architecture, Video, Digital Games, Poetry, or Design. The conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area. Accepted papers will be published by Springer Verlag in the Lecture Notes in Computer Science series. IMPORTANT DATES Submission deadline: 1 November 2020 Conference: 7-9 April 2021 We welcome submissions which use Artificial Intelligence techniques in the generation, analysis and interpretation of Art, Music, Design, Architecture and other artistic fields. Submissions must be at most 16 pages long, in Springer LNCS format. Each submission must be anonymised for a double-blind review process. The deadline for submission is 1 November 2020. Accepted papers will be presented orally or as posters at the event and included in the EvoMUSART proceedings published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. Indicative topics include but are not limited to: * Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.; * Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.; * Systems that create artefacts such as game content, architecture, furniture, based on aesthetic and/or functional criteria; * Systems that resort to artificial intelligence to perform the analysis of image, music, sound, sculpture, or some other types of artistic object; * Systems in which artificial intelligence is used to promote the creativity of a human user; * Theories or models of computational aesthetics; * Computational models of emotional response, surprise, novelty; * Representation techniques for images, videos, music, etc.; * Surveys of the current state-of-the-art in the area; * New ways of integrating the user in the process (e.g. improvisation, co-creation, participation). More information on the submission process and the topics of EvoMUSART can be found at: www.evostar.org/2021/evomusart Papers published in EvoMUSART can be found at: https://evomusart-index.dei.uc.pt We look forward to seeing you in Seville in 2021! The EvoMUSART 2021 organisers Juan Romero Tiago Martins Nereida Rodriguez-Fernandez (publication chair) -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Thu Jul 30 11:38:40 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Thu, 30 Jul 2020 17:38:40 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2020 Message-ID: **COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions in many countries, COMPLEX NETWORKS 2020 is planned fully online. Registration fees will be adjusted accordingly**. (**Apologies for any cross posting)* *Ninth** International Conference on Complex Networks & Their Applications* *Madrid, Spain December 1- 3, 2020* http://www.complexnetworks.org You are cordially invited to submit your contribution until September 02, 2020. *Speakers * ? Leman Akogu Carnegie Mellon University, USA ? Stefano Boccaletti ISC CNR, Italy ? Fosca Giannotti KDD Lab Pisa, Italy ? J?nos Kert?sz Central European University Hungary ? Vito Latora Queen Mary, University of London UK ? Alex ?Sandy? Pentland MIT Media Lab, USA ? Nata?a Pr?ulj Barcelona Supercomputing Center Spain *Tutorials** (**November 30, 2020**)* ? David Garcia Complexity Science Hub Vienna Austria ? Mikko Kivel? Aalto University Finland *Conference publications* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome*.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* *Post-conference publications* Extended versions of unpublished contributions (papers & abstracts) will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Frontiers in Big Data o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *Topics * include, but are not limited to o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *General Chairs* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* *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 bogdanlapi at gmail.com Fri Jul 31 17:22:01 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Sat, 1 Aug 2020 00:22:01 +0300 Subject: Connectionists: 1st Call-for-Participation: MediaEval 2020 Predicting Media Memorability Task Message-ID: [Apologies for cross-postings] ******************************************************* Predicting Media Memorability Task 2020 MediaEval Benchmarking Initiative for Multimedia Evaluation https://multimediaeval.github.io/editions/2020/tasks/memorability/ ******************************************************* Register here to participate: https://docs.google.com/forms/d/e/1FAIpQLSfxS4LPBhLQUTXSPT5vogtiSy7BuAKrPs6u6pZXcSV1Xs7XEQ/viewform ******************************************************* Help us with the annotations: https://annotator.uk/mediaeval/index.php ******************************************************* The Predicting Media Memorability Task focuses on the problem of predicting how memorable a video will be. It requires participants to automatically predict memorability scores for videos, which reflect the probability of a video being remembered. Participants will be provided with an extensive data set of videos with memorability annotations, and pre-extracted state-of-the-art visual features. The ground truth has been collected through recognition tests, and, for this reason, it reflects objective measures of memory performance. In contrast to previous work on image memorability prediction, where memorability was measured a few minutes after memorisation, the data set comes with short-term and long-term memorability annotations. Because memories continue to evolve in long-term memory, in particular during the first day following memorisation, we expect long-term memorability annotations to be more representative of long-term memory performance, which is used preferably in numerous applications. Participants will be required to train computational models capable of inferring video memorability from visual content. Models will be evaluated through standard evaluation metrics used in ranking tasks. *********************** Target communities *********************** Researchers will find this task interesting if they work in the areas of human perception and scene understanding, such as image and video interestingness, memorability, attractiveness, aesthetics prediction, event detection, multimedia affect and perceptual analysis, multimedia content analysis, machine learning (though not limited to). *********************** Data & ground truth *********************** Data is composed of 6,000 short videos retrieved from TRECVid 2019 Video to Text data set. Each video consists of a coherent unit in terms of meaning and is associated with two scores of memorability that refer to its probability to be remembered after two different durations of memory retention. Similar to previous editions of the task, memorability has been measured using recognition tests, i.e., through an objective measure, a few minutes after the memorisation of the videos (short term), and then 24 to 72 hours later (long term). The videos are shared under Creative Commons licenses that allow their redistribution. They come with a set of pre-extracted features, such as: Aesthetic Features, C3D, Captions, Colour Histograms, HMP, HoG, Fc7 layer from InceptionV3, LBP, or ORP. In comparison to the videos used in this task in 2018 and 2019, the TRECVid videos have much more action happening in them and thus are more interesting for subjects to view. *********************** MediaEval Workshop *********************** Participants to the task are invited to present their results during the annual MediaEval Workshop, which will be held online in early December 2020. Working notes proceedings are to appear with CEUR Workshop Proceedings (ceur-ws.org). *********************** Important dates (tentative) *********************** (open) Participant registration: July Development data release: 21 August Test data release: 21 September Runs due: 15 October Working notes papers due: 30 November MediaEval Workshop, online: Early December *********************** Task coordination *********************** Alba Garcia Seco de Herrera, Rukiye Savran Kiziltepe, Faiyaz Doctor, University of Essex, UK Mihai Gabriel Constantin, Bogdan Ionescu, University Politehnica of Bucharest, Romania Alan Smeaton, Graham Healy, Dublin City University, Ireland Claire-Helene Demarty, InterDigital, France On behalf of the Organizers, Prof. Bogdan IONESCU http://campus.pub.ro/lab7/bionescu/ From junfeng989 at gmail.com Fri Jul 31 22:21:05 2020 From: junfeng989 at gmail.com (Jun Feng) Date: Sat, 1 Aug 2020 10:21:05 +0800 Subject: Connectionists: [Submission Deadline: Sep. 1][*14+ Special Issues*] CFP IEEE DependSys 2020: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, Dec. 14-16, Fiji Message-ID: [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (IEEE DependSys 2020), 14-16 December 2020, Fiji [Submission Deadline: Sep. 1][14+ Special Issues] http://cse.stfx.ca/~dependsys/2020/index.html IEEE DependSys 2020 conference is the 6th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2020 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 14+ SCI & EI indexed prestigious journals (confirmed). 1. Information Fusion (IF: 13.669) SI on Fusion from Big Data to Smart Data https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-fusion-from-big-data-to-smart-data 2. Information Fusion (IF: 13.669) SI on Data Fusion for Trust Evaluation https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-data-fusion-for-trust-evaluation 3. IEEE Transactions on Industrial Informatics (IF: 9.112) SI on Digital Twinning: Integration AI-ML and Big Data Analytics for Virtual Representation http://www.ieee-ies.org/images/files/tii/ss/2020/Digital_Twinning_Integrating_AI-ML_and_Big_Data_Analytics_for_Virtual_Representation_2020-4-30.pdf 4. Future Generation Computer Systems (IF: 6.125) SI on Artificial Intelligence for Cyber Defence and Smart Policing https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/artificial-intelligence-for-cyber-defence-and-smart-policing 5. Digital Communications and Networks (IF: 5.382) SI on Blockchain-enabled Technologies for Cyber-Physical Systems and Big Data Applications http://www.keaipublishing.com/en/journals/digital-communications-and-networks/call-for-papers/blockchainenabled-technologies-for-cyberphysica/ 6. IEEE Transactions on Network Science and Engineering (IF: 5.213) SI on Computing and Networking for Cyber-Physical-Social Systems https://www.comsoc.org/publications/journals/ieee-tnse/cfp/computing-and-networking-cyber-physical-social-systems 7. IEEE/CAA Journal of Automatics Sinica (IF: 5.129) SI on Blockchain for Internet-of-Things and Cyber-Physical Systems: Emerging Trends, Issues and Challenges http://www.ieee-jas.org/news/news_en/9248195c-6d90-4868-9962-263ed9ba12f3_en.htm 8. Neurocomputing (IF: 4.438) SI on Edge Intelligence: Neurocomputing Meets Edge Computing https://www.journals.elsevier.com/neurocomputing/call-for-papers/edge-intelligence-neurocomputing-meets-edge-computing 9. IEEE Access (IF: 3.745) SI on Reliability in Sensor-Cloud Systems and Applications (SCSA) https://ieeeaccess.ieee.org/special-sections/reliability-in-sensor-cloud-systems-and-applications-scsa/ 10. Journal of Cloud Computing (IF: 2.788) SI on Security and Privacy Issues for AI in Edge-Cloud Computing https://journalofcloudcomputing.springeropen.com/securityprivacyaiedgecloud?from=singlemessage 11. Journal of Systems Architecture (IF: 2.552) SI on Ubiquitous Edge Computing for Next Generation IoT and 6G: Architecture, Modelling and Systems https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/ubiquitous-edge-computing-for-next-generation 12. Journal of Systems Architecture (IF: 2.552) SI on High-Performance-Computing-Communications for Cyber-Physical-Social Systems https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/high-performance-computing-communications 13. MDPI Electronics (IF: 2.412) SI on Blockchain-based Technology for Mobile Application https://www.mdpi.com/journal/electronics/special_issues/BTMA 14. Software: Practice and Experience SI on Software and Hardware Co-Design for Sustainable Cyber-Physical Systems https://onlinelibrary.wiley.com/pb-assets/assets/page/journal/1097024x/SI_softandhard.pdf * More special issues will be added later. ================== Important Dates ================== Workshop Proposal/Special Session Due: 30 June 2020 Submission Deadline: 1 September 2020 Authors Notification Date: 15 October 2020 Final Manuscript Due: 10 November 2020 Conference Date: 14-16 December 2020 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N27703) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Mohammad Zulkernine, Queen's University, Canada - Aniello Castiglione, University of Naples Parthenope, Italy - Alireza Jolfaei, Macquarie University, Australia Program Chairs - Salimur Choudhury, Lakehead University, Canada - Qinghua Lu, CSIRO, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Fiji, Fiji - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: