From li.zhaoping at tuebingen.mpg.de Sat Aug 1 04:13:40 2020 From: li.zhaoping at tuebingen.mpg.de (Li Zhaoping) Date: Sat, 1 Aug 2020 10:13:40 +0200 Subject: Connectionists: Lab manager position available in Zhaoping lab in Tuebingen Germany In-Reply-To: <1b8ade9c-3b50-c14c-2cb4-923c328ad5c2@tuebingen.mpg.de> References: <1b8ade9c-3b50-c14c-2cb4-923c328ad5c2@tuebingen.mpg.de> Message-ID: <549ab29b-a376-8ace-cd01-048ba38beee2@tuebingen.mpg.de> We have a lab manager position available, see https://webdav.tuebingen.mpg.de/agzl/data/LabManager_270720.pdf We study sensory and sensorimotor functions in the brain, in Max Planck Institute for Biological Cybernetics and University of Tuebingen, combining experimental (behavoiral and neural) and computational approaches. See http://www.lizhaoping.org/ for more information. For other position possibilities see http://www.lizhaoping.org/jobs.html Enquiries welcome. Li Zhaoping -- Li Zhaoping, Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Department 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 fabio.bellavia at unifi.it Sat Aug 1 05:32:46 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Sat, 1 Aug 2020 11:32:46 +0200 Subject: Connectionists: Call for papers - FAPER2020 workshop at ICPR2020 Message-ID: <0bbb93d1-699d-c5bd-f0f9-fb102968b034@unifi.it> ?????????????????? 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?? 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 javier.minguez.mail at gmail.com Sat Aug 1 07:00:03 2020 From: javier.minguez.mail at gmail.com (javier Minguez) Date: Sat, 1 Aug 2020 13:00:03 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Projects=3A_Grants_of_up_to_15?= =?utf-8?q?0K=E2=82=AC_of_equipment_for_research_projects_in_the_ar?= =?utf-8?q?eas_of_human_behavior_research_and_brain-computer_interf?= =?utf-8?q?aces_=28Bitbrain=2C_Javier_Minguez=29?= Message-ID: Call for Projects: Grants of up to 150K? of equipment for research projects in the areas of human behavior research and brain-computer interfaces. *Aim of the Call* This year has been unexpectedly complicated for all of us. We have had an ongoing threat to public health with a strong impact on economic activity in every country and organization. Scientific endeavors have been delayed in most research fields, and many research conferences and symposiums have been delayed or canceled. The aim of this call is to catalyze and mobilize research in human behavior and brain-computer interfaces during this difficult time, by supporting outstanding research projects for 2 years of duration starting in 2021. This is our way of giving back to the scientific community and helping research projects start-up in the wake of COVID 19. Bitbrain's mission is to boost real-world research and real-life applications that enhance people's lives. For this reason, we particularly welcome project proposals from academia or research institutions that are exploring neuroscience research in real-world settings. The deadline for submissions is September 21st, 2020. More info here: https://www.bitbrain.com/call-for-projects-2020 *The Awards* This initiative awards projects with up to a total of 150K? in Bitbrain equipment plus software licenses. Bitbrain systems are specifically designed to facilitate research in real-world settings and include high-tech EEG brain sensing devices and 35+ complementary monitoring technologies, as well as human behavior research software solutions for synchronized multimodal data acquisition and analysis. *Call topics* - Topic 1: Human Behavior Research: We are looking for projects that expand the understanding of human behavior using multimodal approaches, preferably in ecological and natural conditions. The research includes, but is not limited to, cognitive sciences, clinical research, education, developmental psychology, human performance, UX or human factors, neuroeconomics, hyperscanning, neuroaesthetics, etc. Awards: According to the research needs of the project, the award may include the following: 1) Hardware: dry/semi-dry EEG systems in combination with a wide range of biosensors (GSR, BVP, ExG, etc) specifically developed to carry out real-world research, while favoring signal quality, usability, set up time, and user comfort. 2) Software: SDK for real-time I/O and third-party data processing (LSL, Matlab, Python, BCI200, etc); SennsLab software for synchronized data collection of 35+ types of biosensors and other research modalities including eye-tracking, cameras, microphones, etc, and other 3rd party options such as E-prime; SennsMetrics software for computation and data analysis of behavioral metrics. - Topic 2: Brain-Computer Interfaces (BCI): We are looking for projects that expand the introduction or usage of brain-computer interfaces in ecological and natural conditions. Research project proposals should focus on the application of brain-computer interfaces in real-world scenarios, in areas such as immersive environments, neurorehabilitation, neuroadaptive technologies, hyperscanning, neuroprosthetics, etc. Awards: According to the research needs of the project, the award may include the following: 1) Hardware: Mobile EEG systems for brain-computer interfaces including dry-EEG devices and semi-dry EEG systems (8, 16, 32 and 64ch), with a very quick and easy setup and comfortable interface. 2) Software: programming tools with great compatibility with real-time I/O and third-party data processing (LSL, Matlab, Python, BCI2000, OpenVibe, etc). *Jury* - Dima Amso, PhD. Professor, Department of Psychology at Columbia University. - Alan Kingstone, PhD. Professor, Department of Psychology, University of British Columbia. - Ander Ramos, PhD. Head of the Neurorehabilitation Lab. University of Tubingen. Germany - Gernot Muller-Putz, PhD. Professor and Head of the Institute of Neural Engineering. Graz University of Technology. Austria - Tiago Falk, PhD. Associate Professor and Multimedia/Multimodal Signal Analysis and Enhancement (MuSAE) Laboratory. University of Toronto. Canada - Marco Congedo, PhD. Charge de Research (CNRS), France. *Important Dates* - Submission of applications: 21st September - Communication of the awards: 6th October - Contracts: 12th October - Equipment delivering: 20th December - Kick-off Meetings: 11th January *More info here*: https://www.bitbrain.com/call-for-projects-2020 -- Javier M?nguez Chief Scientific Officer (CSO) R&D Department of www.bitbrain.com javierminguez at bitbrain.com Twitter Scholar LinkedIn -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.vandemeent at northeastern.edu Sun Aug 2 17:14:20 2020 From: j.vandemeent at northeastern.edu (Van De Meent, Jan-Willem) Date: Sun, 2 Aug 2020 21:14:20 +0000 Subject: Connectionists: PROBPROG 2020 Call for Late-breaking Submissions Message-ID: Conference Dates: Oct 22 - 24 2020 (previously Apr 23 ? 25 2020) Deadline: Mon Sep 14, 2020 11:59 PM AOE Submissions: https://cmt3.research.microsoft.com/PROBPROG2020 Instructions: https://probprog.cc/submissions/ The International Conference on Probabilistic Programming (PROBPROG 2020) has been rescheduled to Oct 22 - 24 and will take place in a fully online format. Owing to the 5-month gap relative to the original conference dates, we would like to invite authors who did not have a chance to submit in January to do so in September. The PROBPROG 2020 conference invites two kinds of submissions: 1. Extended Abstracts: Authors may submit work in the form of an extended abstract of 2-6 pages for consideration for a poster presentation, talk, or full-length proceedings submission. Extended abstracts are intended as a mechanism for discussing work that may be preliminary, and for this reason are non-archival. Titles for accepted poster presentations and talks will be listed on the conference website. Our aim is to enable researchers to get feedback from the PROBPROG community that helps mature the research, strengthen the probabilistic programming content, and improve the chances of acceptance in top venues aligned with other fields. 2. Syndicated Submissions: Authors may submit work that has been accepted for publication in another venue within the last 12 months for consideration as a poster presentation or talk. These submissions may be full-length and are also non-archival, but will be listed on the conference website. Note: Authors of previously accepted submissions need to resubmit this cycle. Authors of submissions that were not accepted are encouraged to resubmit an updated abstract. Organizers * Vikash Mansinghka (MIT) * Jean-Baptiste Tristan (Boston College) * Jan-Willem van de Meent (Northeastern University) * Avi Pfeffer (Charles River Analytics) Program Information - Thursday 22 October: Industry day and Tutorials - Friday 23 October: Main conference - Saturday 24 October: Main conference Probabilistic programming is an emergent field based on the idea that probabilistic models can be efficiently represented as executable code. This idea has enabled researchers to formalize, automate, and scale up many aspects of modeling and inference; to make modeling and inference accessible to a broader audience of developers and domain experts; and to develop new programmable AI systems that integrate modeling and inference approaches from multiple domains. PROBPROG is the first international conference dedicated to probabilistic programming. PROBPROG includes presentations on basic research, applied research, open source, and the practice of probabilistic programming. PROBPROG attendees come from academia, industry, non-profits, and government. The conference aims to achieve three goals: 1. Create a venue where researchers from multiple fields ? e.g. programming languages, statistics, machine learning, and artificial intelligence ? can meet, interact, and exchange ideas. 2. Grow a diverse and inclusive probabilistic programming community, by actively seeking participation from under-represented groups, and providing networking opportunities, mentorship, and feedback to all members. 3. Support the development of the practice of probabilistic programming, including open-source systems and real-world applications, and provide a bridge between the practice of probabilistic programming and basic research. PROBPROG welcomes abstract submissions for contributed research presentations, demonstrations, open-source systems, participants in open discussions, and consideration for invited publication in an online journal. Submissions should indicate alignment with one or more of the following themes: 1. Artificial and Natural Intelligence. Probabilistic programs and probabilistic programming technology for formulating and solving the core problems of intelligence, including research relevant for engineering artificial intelligence and for reverse-engineering natural intelligence. A central theme in this track is new AI architectures based on probabilistic programming that integrate statistical, symbolic, neural, Bayesian, and simulation-based approaches to knowledge representation and learning. Another central theme is proposals for learning probabilistic programs from data, and modeling high-level forms of human learning using probabilistic program synthesis. This track also includes research at the intersection of probabilistic programming and intelligence augmentation, collective intelligence, machine learning, and the development and analysis of intelligent infrastructure. 2. Statistics and Data Analysis. Probabilistic programs and probabilistic programming technology for formulating and solving problems in statistics and data analysis. Topics include latent variable models, parameter estimation, automated data modeling, Bayesian inference, calibration, model checking, model criticism, visualization, and testing of statistical models and inference algorithms. This track also includes statistical applications and deployments of probabilistic programming for data analysis. 3. Languages, Tools, and Systems. The design, implementation, and formal semantics of probabilistic programming languages and systems, including domain-specific and general-purpose languages, interpreters, compilers, probabilistic meta-programming techniques, probabilistic meta-programming languages, and runtime systems. This track also includes research on dynamic and static analysis of probabilistic programs, and empirical and theoretical study of the usability, performance, and accuracy of probabilistic programming languages and systems. 4. The Practice of Probabilistic Programming. This track is centered on four themes: (i) probabilistic programs and systems based on probabilistic programming that solve problems in industry, government, philanthropic work, applied research, and teaching, as well as potential use cases for probabilistic programs or probabilistic programming technology in these areas; (ii) challenges that arise when using probabilistic programming in practice, including inspection, debugging, testing, and performance engineering; (iii) human-centric design of probabilistic programs and probabilistic programming technology; and (iv) probabilistic programming tools, probabilistic program analyses, probabilistic programming styles/workflows, probabilistic programming practices/guidelines/experience reports, and probabilistic programming environments with the potential to address issues faced by practitioners. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sun Aug 2 23:56:24 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Mon, 3 Aug 2020 03:56:24 +0000 Subject: Connectionists: Call for Participation: Workshop on Plant Image Analysis -- one week to go In-Reply-To: References: , Message-ID: We apologize if you receive multiple copies. As part of the NSF Big Data SPOKE project on "Integrating Biological Big Data Research into Student Training and Education" we would like to invite you to participate in the Workshop on Plant Image Analysis. The workshop will be held on August 10, 2020. This will be held remotely as a virtual workshop. Please visit the website: http://community.wvu.edu/~daadjeroh/workshops/plantImages/ for more information on the workshop, and to register. Workshop attendees are expected to be undergraduate seniors, graduate students, faculty, and others with appropriate background or interests. Level of treatment will be appropriate for a senior undergraduate/first year graduate student, with a general background in science, engineering, or in agriculture. 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 Mon Aug 3 04:51:26 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Mon, 3 Aug 2020 10:51:26 +0200 Subject: Connectionists: [CfP - Extended deadline] PLP-2020: The Seventh Workshop on Probabilistic Logic Programming Message-ID: 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/ **** Extended deadline for submissions: Aug, 22nd 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, 22nd 2020 (extended) Notification to authors: Sep, 5th 2020 (extended) 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 ----- Nicos Angelopoulos (Sanger Institute, UK) Elena Bellodi (University of Ferrara, Italy) Krysia Broda (Imperial College, UK) Henning Christiansen (Roskilde University, Denmark) Giuseppe Cota (University of Ferrara, Italy) Fabio Cozman (University of S?o Paulo, Brazil) James Cussens (University of York, UK) Luke Dickens (University College London, UK) Arjen Hommersom (Open University of the Netherlands, The Netherlands) Matthias Nickles (National University of Ireland, Ireland) David Poole (The University of British Columbia, Canada) Fabrizio Riguzzi (University of Ferrara, Italy) Joost Vennekens (Katholieke Universiteit Leuven, Belgium) Riccardo Zese (University of Ferrara, Italy) -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From nicholas.cummins at ieee.org Mon Aug 3 13:48:33 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Mon, 3 Aug 2020 18:48:33 +0100 Subject: Connectionists: ICMI 2020: Call for Late-Breaking Results -- DEADLINE EXTENSION Message-ID: *Call for Late-Breaking Results **-- DEADLINE EXTENSION* *ICMI2020 will be held as a 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: Precision Conference . *Highlights* - *Submission deadline: August 19th, 2020 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 short paper, four-page paper, not including references, in the ICMI format ( http://icmi.acm.org/2020/index.php?id=authors). 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* Similar rules for registration and attendance will be applied for authors of LBR papers than for regular papers. Further information will be available later on. *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 (Catherine Pelachaud catherine.pelachaud at upmc.fr, Elizabeth Shriberg elizabeth.shriberg at gmail.com ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From tserra at gmail.com Mon Aug 3 14:15:54 2020 From: tserra at gmail.com (Thiago Serra) Date: Mon, 3 Aug 2020 14:15:54 -0400 Subject: Connectionists: CFP: Innovative Applications of Artificial Intelligence (IAAI-21), virtually co-located with AAAI-21 Message-ID: Dear colleagues, The 33rd Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21) will be virtually held on February 4-6, 2021 along with the 35th AAAI Conference on Artificial Intelligence (AAAI-21). IAAI-21 is a venue for papers describing highly innovative realizations of AI technology. The objective of the conference is to showcase successful applications and novel uses of AI. The conference will use technical papers, best practice papers, invited talks, and panel discussions to explore issues, methods, and lessons learned in the development and deployment of AI applications; and to promote an interchange of ideas between basic and applied AI and the discourse on the actual deployment of AI in practice. IAAI-21 will consider: (1) papers that showcase novel, deployed applications of AI, and potential applications on this trajectory; (2) papers that present tools for faster AI solutions development and deployment; (3) papers that showcase original ways of integrating methodologies from different areas of AI for practical realization; as well as (4) best practice papers. Submissions should clearly identify which track they are intended for, as the tracks are judged on different criteria. All submissions must be original. *The submission deadline is September 16, 2020*. Tracks and Topics 1. Highly Innovative Applications of AI Papers submitted to this track must describe deployed applications with measurable benefits that include an innovative use of AI technology. Applications are defined as deployed once they are in production use by their final end-users and the in-use experience can be meaningfully collected and reported. The study may evaluate either a stand-alone application or a component of a complex system. Papers will be judged primarily by the quality of: the task or problem description; the application description; the innovative use of AI technology; the application use and payoff; and the lessons learned during application development, deployment and maintenance. Original papers on the aspects of deploying AI applications in practice are welcome, and papers, while expected to exhibit both innovative use of AI as well as demonstrated impact, may focus more on one of these aspects. Each accepted deployed application paper will receive the IAAI ?Innovative Application? Award. Papers in this track may have up to 8 pages in the prescribed AAAI style, plus at most one more page which may only contain references. 2. Emerging Applications of AI Emerging applications papers ?bridge the gap? between basic AI research and case studies of deployed AI applications, by discussing efforts to apply AI tools, techniques, or methods to real-world problems in novel ways. Emerging applications focus on aspects of AI applications that are not yet sufficiently deployed to be submitted as case studies in the first track. This track is distinguished from reports of purely scientific AI research appropriate for the AAAI-21 Conference in that the objective of the efforts reported here should be the potential application of AI technologies, including engineering considerations. A requirement for papers is to discuss the path forward for achieving deployment of the technology. Papers will be judged primarily by the following criteria: significance (of the problem, and the tool or methodology); relevance of AI technology to the problem; innovation; path to deployment; content; evaluation; technical quality; and clarity. Authors are advised to bear these questions in mind while writing their papers. Papers in this track may have up to 6 pages in the prescribed AAAI style, plus at most one more page which may only contain references. 3. Innovative Tools for Enabling AI Application Within this track, we solicit papers describing tools to improve applied AI innovation and deployment of AI systems. Areas of interest include, but are not limited to: - Process organization: Tools that help manage and assure the development, evaluation or deployment of AI systems. - Data cleaning: Tools to ease the pain point of processing raw data for its use in AI systems. - Modelling: Tools that facilitate AI modelling, for example approaches to facilitate deriving models from examples or demonstrations. - Meta-algorithmics: Tools to improve AI systems, algorithm configurators, algorithm portfolios, and hyper-parameter tuners. - Platforms: Tools in the form of platforms designed for AI research, especially those with connections to real world systems and domains. - Novel computational models: Tools to exploit new computational hardware, for example neuromorphic co-processors, quantum computers, and chips approximating quantum computation. - Interaction: Tools that facilitate the interaction design of or user experience with AI systems, or improve user evaluations. - Trusted AI: Tools that generate explanations, justifications, and persuasions for data-driven models. Papers will be judged primarily by the following criteria: the extent to which the tool presented yields solutions with demonstrated improved quality; lower development, deployment and maintenance costs; better productivity; fewer errors; and higher ability to scale. Reviewers will pay attention to how well designed is the tool, how easy is it to use and how well is it documented, and how many users it has. Note the focus is on the tool, not on foundational research. Papers in this track may have up to 6 pages in the prescribed AAAI style, plus at most one more page which may only contain references. 4. Innovative Inter-disciplinary AI Integration This track is devoted to the integration of AI components with the focus on how the orchestration of methods from different AI silos requires the adaptation of existing technologies to allow them to work together well for application of AI in practice. Papers must pay attention to engineering considerations and, where relevant, to human?computer interaction. Examples for such orchestrated new capabilities and applications include but are not limited to: - Learning search algorithms: Implementations of systematic and heuristic search algorithms that are capable to improve their performance by learning from experience or during search. - Decision support under uncertainty: Implementations that combine statistical and deterministic reasoning to provide scalable decision support under uncertainty for applications that are inherently stochastic. - Knowledge representation: Representations that work effectively for downstream analytics, e.g., the innovative use of a knowledge graph for feature generation of a downstream machine learning model. - Auto-configuration: The adaptation of search methods from combinatorial optimization to optimize knowledge bases or to design superior forecasting algorithms. - Other research prototypes that integrate algorithms and methods from traditionally different AI sub-communities. A clear, transparent, and reproducible case must be presented that allows the community to judge objectively the value of the innovation of the integration when compared to existing or ad-hoc approaches. Computational experiments on benchmarks (that either already are or will be made public) and in comparison with existing state-of-the-art baseline methods are expected. At least a portion of the experiments is expected to consider real-world (not synthetic generated) benchmarks to demonstrate the practical importance of the problem studied. Papers in this track may have up to 6 pages in the prescribed AAAI style, plus at most one more page which may only contain references. 5. AI Best Practices, Challenge Problems, Training AI Users In this final short paper track, we welcome papers that review best practices when deploying AI, that communicate novel challenge applications, and that review contributions that lower the barrier to applying AI by practitioners outside the AI community. These papers will be reviewed based on different criteria than the longer papers of the main IAAI tracks. Best practice papers must tie the recommendations to concrete learning from prior experience when deploying AI methods. Challenge problem papers must (this is a hard requirement) make non-generated, real-world benchmarks publicly available. AI training papers must focus on the particular challenges when bridging knowledge from application domain experts and AI expertise and how the domain experts can effectively and efficiently learn enough about the AI tools they use to apply them successfully. For all topics in the scope of this track, papers that challenge the status quo are particularly welcome. Papers in this track may have up to 4 pages in the prescribed AAAI style, including references. Submission Instructions Electronic submissions are required. Papers must be in trouble-free, high resolution PDF format and formatted for United States letter (8.5? x 11?) paper. Submissions need to be in AAAI two-column format (Author Kit will be available soon). Deployed papers can be up to eight (8) pages plus one more page which may contain only references. Emerging, Tools and Integration papers can be up to six (6) pages plus one more page which may contain only references. Best practice, Challenge and Training papers are up to four (4) pages long only including references. Note that submissions to IAAI-21 may contain identifying information of the authors and their affiliations: reviewing is single-blind. Authors should register on the IAAI-21 EasyChair paper submission site: https://easychair.org/conferences/?conf=iaai21 Authors must submit a formatted electronic version of their paper through EasyChair no later than September 16, 2020. We cannot accept papers submitted by email or fax. Submissions received after the deadline, or that do not meet the length or formatting requirements detailed above, will not be accepted for review. Notification of receipt of the electronic paper will be mailed to the first author (or designated contact author) soon after receipt. By submitting a paper to IAAI, the authors agree that the Program Chairs have the final decision on the acceptance of publication at the conference. Papers will be reviewed by the Program Committee and notification of acceptance or rejection will be mailed to the contact author on November 13, 2020. PDFs of accepted papers will be due on December 18, 2020. Authors will be required to transfer copyright at that time. All submissions must be original. IAAI-21 will not consider any paper that, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Once submitted to IAAI-21, authors may not submit the paper elsewhere during IAAI?s review period. These restrictions apply only to refereed journals and conferences, not to preliminary versions that are posted as preprints to arXiv.org or other unrefereed forums, or to workshops with a limited audience and without archival proceedings. Authors must confirm that their submissions to IAAI conform to these requirements at the time of submission. Organization Correspondence may be sent to IAAI at iaai21 at aaai.org. IAAI-21 Chairs: Meinolf Sellmann (GE Research, USA) Neil Yorke-Smith (Delft University of Technology, Netherlands) IAAI-21 Outreach Chair: Thiago Serra (Bucknell University, USA) -- Thiago Serra, Ph.D. Assistant Professor of Analytics and Operations Management Freeman College of Management Bucknell University -------------- next part -------------- An HTML attachment was scrubbed... URL: From sanjay.ankur at gmail.com Tue Aug 4 05:10:04 2020 From: sanjay.ankur at gmail.com (Ankur Sinha) Date: Tue, 4 Aug 2020 10:10:04 +0100 Subject: Connectionists: OCNS Software/Tools/Infrastructure Special Interest Group (SIG) Message-ID: <20200804091004.4roonm7kkwrsn2kj@ankur-pc.Home> Hello everyone, (Please excuse the cross posts.) At this year's annual CNS meeting[0], the Organization for Computational Neurosciences (OCNS) discussed the formation of OCNS Special Interest Groups (SIGs). The idea is for the OCNS membership to be able to self-organise, based on common interests, to work on various tasks/projects to develop themselves and computational neuroscience in general[1]. The OCNS Board will enable SIGs by providing them with the necessary resources. As you will see on the Neurostars topic, a number of OCNS members have expressed interest in different SIGs. In my capacity as the current OCNS webmaster, I'd like to focus on the software/tools/infrastructure that is critical for computational neuroscience research. From the topic on Neurostars[2]: "Computational neuroscience cannot exist without the tools that we all rely on. So, this SIG will focus on these. We?ll find and discuss tools, we will learn how to use them, we will test and review them, we will file bugs to inform the developers of issues, and finally we will try to learn how they work and try to get involved in their development---to ensure that these tools that we rely on remain in good shape by having communities looking after them. While we do all of this, we will improve our knowledge of transferable skills: anything involved in modern software development (which are not limited to only writing tools, but are extremely important/useful when developing models using these tools)." Please join the discussion on Neurostars if this interests you. We will start to mobilise in the next few weeks. You can learn more about OCNS membership here[3]. [0] https://www.cnsorg.org/cns-2020 [1] https://neurostars.org/t/cns-2020-ocns-members-meeting/15273/3?u=sanjayankur31 [2] https://neurostars.org/t/ocns-infrastructure-software-tools-sig-meet-and-greet-initial-discussions/15560 [3] https://www.cnsorg.org/join-ocns -- Thanks, Regards, Ankur Sinha (He / Him / His) OCNS webmaster | https://www.cnsorg.org/ Research Fellow at the Silver Lab | http://silverlab.org/ Time zone: Europe/London From lucas.bechberger at uni-osnabrueck.de Tue Aug 4 07:41:41 2020 From: lucas.bechberger at uni-osnabrueck.de (Lucas Bechberger) Date: Tue, 4 Aug 2020 13:41:41 +0200 Subject: Connectionists: Call for Participation: CARLA 2020 @ Bolzano Summer of Knowledge Message-ID: <35771b21-3a10-6131-992c-ae04021f0aac@uni-osnabrueck.de> "Concepts in Action: Representation, Learning, and Application" (CARLA) is an international workshop aimed at fostering interdisciplinary exchange about research on concepts. It invites contributions from all fields related to cognitive science, including (but not limited to) linguistics, artificial intelligence, psychology, philosophy, logic, and computer science. Although the workshop is open for research on any aspect of concepts, there exists a set of core topics that are of special interest: * *Representation*: /How can we formally describe and model concepts?/ * *Learning*: /Where do concepts come from and how are they acquired?/ * *Application*: /How are concepts used in cognitive tasks?/ *This workshop provides an excellent opportunity to present and discuss ongoing research on concepts. We **therefore **invite concept researchers from all fields related to cognitive science to **participate in this workshop.* *Time and Venue: * September 22 and September 23, 2020, virtual, as part of the Bolzano Summer of Knowledge (https://summerofknowledge.inf.unibz.it/) *Invited **Talks**:* /Mattis List //(//https://www.shh.mpg.de/person/51419/2375//), Max Planck Institute for the Science of Human History, Jena (Germany): ?//Representing concepts for the purpose of cross-linguistic language comparison//?/ /Marianna Bolognesi (//https://www.unibo.it/sitoweb/m.bolognesi/en//), University of Bologna, Bologna (Italy): ?//Two dimensions of conceptual representation: concreteness and specificity//?/ *Contributed Talks:* *The abstracts of all contributed talks have been published via **OpenReview.net: **https://openreview.net/group?id=conceptuccino.uni-osnabrueck.de/CARLA/2020/Workshop* *Registration:* We take part in the general registration procedure of the Bolzano Summer of Knowledge. Attending the CARLA workshop is for free, but registration is mandatory to receive the login information for the videoconference. Please register by the end of August (i.e., 31.08.2020) via the official registration site: https://summerofknowledge.inf.unibz.it/registration/. We will provide the login information to all registered participants about one week before the workshop. *Further Information:* More information (including a tentative schedule) can be found on our website: https://www.conceptuccino.uni-osnabrueck.de/carla_workshop/carla_2020.html Should you have any further questions, please contact us anytime at concepts at uni-osnabrueck.de . Best regards, The organizing committee (Lucas Bechberger, Mingya Liu , Kai-Uwe K?hnberger) -- Lucas Bechberger Artificial Intelligence Research Group Institute of Cognitive Science Osnabr?ck University Wachsbleiche 27, Room 50/310 D-49090 Osnabr?ck Phone: +49-541-969-3400 E-Mail: lucas.bechberger at uni-osnabrueck.de Homepage: https://www.lucas-bechberger.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5406 bytes Desc: S/MIME Cryptographic Signature URL: From a.dorrn at fz-juelich.de Tue Aug 4 08:59:51 2020 From: a.dorrn at fz-juelich.de (a.dorrn at fz-juelich.de) Date: Tue, 4 Aug 2020 14:59:51 +0200 Subject: Connectionists: =?utf-8?q?Bernstein_Conference_2020_=E2=80=93_reg?= =?utf-8?q?istration_now_open?= Message-ID: Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. This year?s Bernstein Conference will take place September 29 - October 1, 2020 and will be held entirely online for the first time. It will be followed by the online Bernstein PhD Symposium on October 2, 2020. www.bernstein-conference.de ____ NEWS ? Registration is now open: bit.ly/BC20_Registration ? Participation will be free of charge ? Abstract submission deadline is approaching on August 21 Please find more information here: bit.ly/BC20abstracts ? Program for online Bernstein PhD symposium is now online: bit.ly/bc20_phd ____ INVITED SPEAKERS William Bialek (Princeton University, USA) Michael Brecht (Humboldt Universit?t zu Berlin, Germany) Laura Busse (LMU Munich, Germany) Megan Carey (Champalimaud Center for the Unknown, Lisbon, Portugal) Rosa Cossart (Institut de neurobiologie de la m?diterran?, Marseille, France) Ann Hermundstad (Janelia Research Campus, Ashburn, USA) Roozbeh Kiani (New York University, New York City, USA) Vanessa Ruta (The Rockefeller University, New York City, USA) David Sussillo (Google AI, Mountain View, USA) Srdjan Ostojic (L'?cole normale sup?rieure, Paris, France) Fred Wolf (Max-Planck Institute for Dynamics and Self-Organization, G?ttingen, Germany) ____ CONFERENCE COMMITTEE Udo Ernst (Conference Chair) Elad Schneidmann (Program Chair) Julijana Gjiorgjieva (Program Vice Chair) Tim Vogels (Workshop Chair) Marion Silies (Workshop Vice Chair) Henning Sprekeler (Conference Host) Danielle Bassett, Matthew Botvinick, Peter Dayan, Alain Destexhe, Tim Gollisch, Stephanie Palmer, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Tue Aug 4 09:17:14 2020 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Tue, 4 Aug 2020 13:17:14 +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 michael.zock at lis-lab.fr Tue Aug 4 18:46:59 2020 From: michael.zock at lis-lab.fr (Michael Zock) Date: Wed, 5 Aug 2020 00:46:59 +0200 Subject: Connectionists: 3d and final cfp of CogALex (a COLING workshop) Message-ID: *CogALex-VI*(*Cog*nitive *A*spects of the *Lex*icon) workshop co-located with COLING 2020 (12/12/2020) Paper submission *deadline*: September 1st, 2020 https://sites.google.com/view/cogalex-2020 *1 BACKGROUND * Supporting us in many tasks (thinking, searching, memorising and communicating) words are important. Hence, one may wonder how to build tools supporting its learning and usage (access/navigation). Alas the answer is not quite as straightforward as it may seem. It depends on various factors: the questioner's background (lexicography, psychology, computer science), the task (production/reception), and the material support (hardware). Words in books, computers and the human brain are not the same. Obviously, being aware of this, different communities have focused on different issues ?(dictionary building; creation of navigational tools; representation and organisation of words; time course for accessing a word, etc.)? yet, ?their views and ?respective goals have changed considerably over time. Rather than considering the lexicon as a static entity, where discrete units (words) are organised alphabetically (database view), dictionaries are now viewed dynamically, i.e., as lexical graphs, whose entities are linked in various ways (topical relations; associations) and whose weight links may vary over time. While lexicographers view words as products (holistic entities), psychologists and neuroscientists view them as processes (decomposition), involving various steps or layers (representations) between an input and an output. Computational linguists have their own ways to look at words, and their proposals have also changed quite a bit during the last decade. Discrete count-based vector representations have successively been replaced by continuous vectors (i.e., word embeddings) and then by language-model-based contextualised representations. These latter are more powerful than any of the other forms, as they are able to account for context ambiguity, outperforming the static models (including word-embeddings) in a broad range of tasks. As one can see, different communities look at words from different angles, which can be an asset, as complementary views may help us to broaden and deepen our understanding of this fundamental cognitive resource. Yet, this diversity of perspectives can also a problem, in particular if the field is rapidly moving on, as in our case. Hence it becomes harder and harder for everyone, including experts, to remain fully informed about the latest changes (state of the art). This is one of the reasons why we organise this workshop. More precisely, our goal is not only to keep people informed without getting them crushed by the information glut, but also to help them to perceive clearly what is new, relevant, hence important. Last, but not least, we would like to connect people from different communities in the hope that this may help them to gain new insights or inspirations. * 2 SCOPE and TOPICS* This workshop is about possible enhancements of lexical resources (representation, organisation of the data, etc.). To allow for this we invite researchers to submit their contributions. The idea is to discuss the limitations of existing resources and to explore possible enhancements that take into account the users? and the engineers' needs (computational aspects). Also, given the success of the shared task devoted to the corpus-based identification of semantic relations (CogALex-V., 2016), we propose anotheredition byadding this time a multilingual component. Our special focus will be on paradigmatic semantic relations, such as synonymy, antonymy and hypernymy, which are notoriously difficult to be distinguished by the classical word embedding models. For this workshop we solicit papers including but not limited to the following topics, each of which can be considered from various points of view: linguistics (lexicography, computational- or corpus linguistics), neuro- or psycholinguistics (tip-of-the-tongue problem, word associations), network-related sciences (vector-based approaches, graph theory, small-world problem), and so on. *Organization, i.e. structure of the lexicon * - Micro- and macrostructure of the lexicon; - Indexical categories (taxonomies, thesaurus-like topical structures, etc.); - Map of the lexicon (topology) and relations between words (word associations). *The meaning of words and how to reveal it* - Lexical representation (holistic, decomposed); - Meaning representation (concept based, primitives); - Distributional semantics (count models, neural embeddings, etc. ) ***Analysis of the conceptual input given by a dictionary user* - What information do language producers typically provide when looking for a word (terms, relations)? - What kind of relational information do they give: typed or untyped relations? - Which relations are typically used? *Methods for crafting dictionaries or indexes * - Manual, automatic or collaborative building of dictionaries and indexes (crowdsourcing, serious games, etc.); - Extraction of associations from corpora to build semantic networks supporting navigation; - (Semi-) automatic induction of the link type (e.g., synonym, hypernym, meronym, ...). ***Creation of new types of dictionaries** * - Concept dictionary; - Dictionary of larger segments than words (clauses, phrasal elements); - Dictionary of patterns or concept-patterns; - Dictionary of syllables. ***Dictionary access*(navigation and search strategies), interface issues - Search based on sound (rhymes), meaning or contextually related words (associations); - Determination of appropriate search space based on the user?s cognitive state (information available at the onset: query) and meta-knowledge (knowledge concerning the relationship between the input and the target word), ... - Identification of typical word access strategies (navigational patterns) used by people; - Interface problems, data visualisation. *3 ?WORKSHOP SUBMISSIONS* The workshop features two tracks: - A regular research track, where the submissions must be substantially original. For details, see: https://sites.google.com/view/cogalex-2020/home/submissions - A shared task track, with submissions consisting of system description papers. ? For details see : https://sites.google.com/view/cogalex-2020/home/shared-task https://sites.google.com/site/cogalexvisharedtask/ ** *4 IMPORTANT DATES* Workshop papers - Paper submission deadline: September 1, 2020 - Notification of acceptance: October 10, 2020 - Camera-ready papers due: October 25, 2020 Shared task - Release of development data : August 1st, 2020 - Release of test data : September 1st, 2020 - Announcement of winners : October 1st, 2020 - Shared task papers due: October20, 2020 ** *5 INVITED SPEAKER* Alex Arenas (http://deim.urv.cat/~alexandre.arenas/ ) ??? Alephsys Lab, Computer Science & Mathematics, ??? Universidad Rovira i Virgili, 43007 Tarragona, Spain *6 WORKSHOP ORGANISERS* - Michael Zock (LIS, CNRS, AMU, Marseille, France) - Alessandro Lenci (Comput. Linguistics Laboratory, University of Pisa, Italy) - Enrico Santus (Bayer, Whippany, NJ, 07981, USA) - Emmanuele Chersoni (Hong Kong Polytechnic University, Hong Kong, China) *7 PROGRAM COMMITTEE* see : https://sites.google.com/view/cogalex-2020/home/programme-committee *8 CONTACTS* For general questions, please get in touch with Michael Zock (michael.zock at lis-lab.fr ). Concerning the shared task, contact Rong Xiang (csrxiang at comp.polyu.edu.hk )or Emmanuele Chersoni (emmanuelechersoni at gmail.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From compsens at medizin.uni-tuebingen.de Wed Aug 5 06:24:19 2020 From: compsens at medizin.uni-tuebingen.de (Compsens) Date: Wed, 05 Aug 2020 12:24:19 +0200 Subject: Connectionists: =?utf-8?q?PhD_Student_/_Postdoc_positions_in_comp?= =?utf-8?q?uter_science/_computer_graphics=2C_University_of_T=C3=BCbingen?= Message-ID: <20200805122419.Horde.18k3rIoRiwMrVVmJwT7KGMm@webmail.uni-tuebingen.de> PhD Student / Postdoc positions at the Hertie Institute for Clinical Brain Research and Center for Integrative Neuroscience, University of T?bingen The positions are part of the ERC-Synergy grant RELEVANCE that supports research on the neural and computational processing of bodies, which is realized in collaboration between T?bingen University and the Universities of Leuven and Maastricht. The project aims to understand how the brain evolved special structures to process highly relevant social stimuli, such as bodies, and how social vision sustains adaptive behavior. Specifically, the project aims at the development of a mechanistic and computational understanding of the visual processing of bodies, combining experimental research (physiology and fMRI) with computational neuroscience (neural networks) and computer graphics and VR methods for stimulus generation and control. We are looking for individuals with an interest in, or possibly even partial expertise in one or multiple of the following areas: - physiologically- inspired neural modeling - neural data analysis - deep learning and its relationship to biological neural networks - motion capture and tracking - computer animation or game engines (Maya, Unreal, Unity) - VR technology The successful students / postdocs will be integrated in the research taking place in the Section for Computational Sensomotorics (http://www.compsens.uni-tuebingen.de/), which is part of the Dept. of Cognitive Neurology. The group works on neural modeling, machine learning techniques related to social recognition, computer animation, and human motion modeling, e.g. realizing highly-realistic avatars and VR applications for experiments in neuroscience and clinical research. The group is part of the Cybervalley initiative (https://cyber-valley.de/) that links groups related to machine learning and industry applications in T?bingen. Talented students will have the opportunity to pursue a PhD in the International Max Planck Research Schools or for ?Mechanisms of Mental Function and Dysfunction? at the Graduate Training Center for Neuroscience (https://www.neuroschool-tuebingen.de/), or for ?Intelligent Systems? (https://imprs.is.mpg.de/). Requirements: Candidates should have a (research) master degree in one of the following disciplines: (Biomedical) Engineering, Computer Science, (Cognitive) Neuroscience, Mathematics, or Computer Animation/Visual Effects. In addition to these requirements, candidates should have a theoretical interest in the area of visual neuroscience, and experience with scientific programming (Matlab, Python or any other language), as well as basic programing languages such as C++. Additional information: Section for Computational Sensomotorics, Dept. for Cognitive Neurology, Hertie Institute for Clinical Brain Research & Centre for Integrative Neurocience, University Clinic T?bingen Email: martin.giese at uni-tuebingen.de. Web: http://www.compsens.uni-tuebingen.de/ From jdrugo at gmail.com Wed Aug 5 08:21:41 2020 From: jdrugo at gmail.com (Jan Drugowitsch) Date: Wed, 5 Aug 2020 08:21:41 -0400 Subject: Connectionists: Postdoctoral, predoctoral, and data scientist positions: causal inference Message-ID: How do our brains interpret sensory inputs to determine how we move through the world? How do the objects we perceive in the environment shape these interpretations? And what happens when these objects are themselves moving? We will address these questions in a multi-institution project that examines neural and computation mechanisms of causal inference in the context of interactions between perception of object motion, self-motion, and depth. We are looking for talented and creative scientists to join our effort. We are offering multiple positions for postdoctoral fellows, graduate research assistants, and a data scientist as part of a BRAIN Initiative U19 project focused on the neural mechanisms of causal inference. This multi-institution project involves experimental and computational/theoretical laboratories at the University of Rochester (Drs. Greg DeAngelis and Ralf Haefner), Harvard Medical School (Dr. Jan Drugowitsch), New York University (Dr. Dora Angelaki), Baylor College of Medicine / Rice University (Dr. Xaq Pitkow), and the University of Washington (Dr. Greg Horwitz). The project is highly collaborative and interactive, involving high-density electrophysiological recordings in both macaque monkeys and mice, optogenetic manipulations in monkeys, development of novel dynamical theoretical frameworks, application of high-dimensional neural analyses, and establishment of a data analysis and storage platform across laboratories. For the theoretical/computational efforts, candidates are expected to have a background in a quantitative field like computational neuroscience, machine learning, reinforcement learning, statistics, physics, etc.. For the experimental efforts, candidates are expected to have a background in neuroscience, experimental psychology, biomedical engineering, or a related field, and previous research experience in systems neuroscience is highly beneficial. Successful candidates will work primarily at one of the participating institutions but will collaborate broadly with team members across institutions. Candidates should submit their CV, a statement of research interests, and the names and contact information for three references. Please consult https://www.indeed.com/job/postdoctoral-predoctoral-and-data-scientist-positions-causal-inference-e2d1b547bec4c131 for further details, and for how to apply. From bls at ieee.org Wed Aug 5 10:10:30 2020 From: bls at ieee.org (Bertrand Le Saux) Date: Wed, 5 Aug 2020 16:10:30 +0200 Subject: Connectionists: =?utf-8?b?TGFzdCBDZlAg4oCcU3BhY2UgYW5kIEFJ4oCd?= =?utf-8?q?_conference_=28w/_ECAI2020=29=3A_extended_deadline_on_07?= =?utf-8?q?/08?= Message-ID: Dear connectionnists, Final call for contributions: Online conference ?Space and AI?, September 4 (in association with ECAI2020) http://spaceandai.ijs.si/ 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://digital.ecai2020.eu/ ), will be a full-day event and will take place on Friday, September 4th (a tutorial and workshop day for ECAI). *Call for contributions: *The program of the event will include several keynote talks. We are also inviting contributed 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). 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. We have *at most 7 (SEVEN) slots lef**t* for contributed presentations, so please send us your contributions as soon as possible. Please send to spaceandai at uni.lu 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) *Deadline: **August 7th (AOE)* *C**onfirmed keynote speakers*: - Xiaoxiang Zhu, Technical University Munich and DLR, Wessling, Germany - Kiri Wagstaff, JPL/NASA, Pasadena, CA, USA - Lucien Rapp, University of Toulouse 1 and HEC Paris, France - James Parr, Frontier Development Laboratory (FDL), NASA and FDL Europe, ESA, London, UK *Participation: *Participation at the event will be free of charge. Prior registration will be mandatory. Details on registration and the technical platform where the event will take place will be available after the event's program/ schedule is finalized (cca August 10th). -------------- next part -------------- An HTML attachment was scrubbed... URL: From renoust at ids.osaka-u.ac.jp Wed Aug 5 15:37:37 2020 From: renoust at ids.osaka-u.ac.jp (Benjamin Renoust) Date: Wed, 5 Aug 2020 21:37:37 +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 m.lengyel at eng.cam.ac.uk Thu Aug 6 03:50:49 2020 From: m.lengyel at eng.cam.ac.uk (=?utf-8?B?TcOhdMOpIExlbmd5ZWw=?=) Date: Thu, 6 Aug 2020 09:50:49 +0200 Subject: Connectionists: Two Open-Rank Faculty Positions in Cognitive Science et CEU Message-ID: <9330FEC1-EB6E-4C31-9A12-CF1A117C4417@eng.cam.ac.uk> Two Open-Rank Faculty Positions in Cognitive Science Department of Cognitive Science, Central European University https://www.ceu.edu/job/two-open-rank-faculty-positions-cognitive-science Review of applications will begin September 1, 2020 and will continue until the position is filled Location: Vienna, Austria Starting date: August 2021(negotiable) Academic enquiries to: Gergely Csibra, Chair of the Search Committee (csibrag at ceu.edu) -- Mate Lengyel Professor of Computational Neuroscience Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 765 587 email: m.lengyel at eng.cam.ac.uk web: lengyellab.org From marcin at amu.edu.pl Wed Aug 5 17:18:19 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 5 Aug 2020 23:18:19 +0200 Subject: Connectionists: =?utf-8?q?Preliminary_CFP_--=3E_2021_IEEE_Congres?= =?utf-8?q?s_on_Evolutionary_Computation_--=3E_Krak=C3=B3w=3B_June_2021?= In-Reply-To: <4212d5ff-a039-a57c-8275-8632a6624754@ibspan.waw.pl> References: <4212d5ff-a039-a57c-8275-8632a6624754@ibspan.waw.pl> Message-ID: ---Apologies if you receive multiple copies of this CFP---- 2021 IEEE Congress on Evolutionary Computation Krakow, Poland June 28 - July 1, 2021 http://cec2021.mini.pw.edu.pl/ On behalf of the IEEE CEC 2021 Organizing Committee, it is our great pleasure to invite you to the annual IEEE Congress on Evolutionary Computation (CEC), which is one of the leading events in the area of evolutionary computation. The IEEE CEC 2021 will be held at Auditorium Maximum of the Jagiellonian University, Krakow, Poland. The city of Krakow is regarded as one of Europe's most beautiful cities *** Call for Papers Papers for IEEE CEC 2021 should be submitted electronically through the Congress website at http://cec2021.mini.pw.edu.pl, and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. *** Call for Special Sessions Special session proposals are invited to IEEE CEC 2021. A special session proposal should include the title, aim and scope (including a list of main topics), and the names of the organizers of the special session, together with short biographies of all organizers. A list of potential contributors would be helpful. All special sessions proposals should be submitted to the Special Session Chairs: Sung-Bae Cho (sbcho at yonsei.ac.kr) and Jaroslaw Arabas (jaroslaw.arabas at pw.edu.pl). *** Call for Workshops IEEE CEC 2021 will host a few pre-Congress workshops, focusing on discussing contemporary topics in Evolutionary Computation. Workshops may include tutorials, keynote / invited lectures, contributed papers and presentations, or panel discussions. A workshop proposal should include a workshop title and a short introduction to the topic, a short description of 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. Prospective workshop organizers are invited to submit their proposals to the Workshop Chair: Maria Ganzha (m.ganzha at mini.pw.edu.pl). *** Call for Competitions IEEE CEC 2021 will host competitions to stimulate research in Evolutionary Computation, promote fair evaluations, and attract congress participants. The 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 short biographies of the main organizers. Prospective competition organizers are invited to submit their proposals to the Competition Chairs: Simon Lucas (simon.lucas at qmul.ac.uk) and Julian Togelius (julian at togelius.com). *** Call for Tutorials The IEEE CEC 2021 solicits proposals for tutorials aimed at researchers, students and practicing professionals. A tutorial proposal should include the title, short introduction to the topic, an outline of the tutorial, expected length of the tutorial (two, four or six houres), the level of the tutorial (introductory or advanced), and names, affiliations, websites, and bios of presenters. If you are interested in proposing a tutorial, would like to recommend someone who might be interested, or have questions about tutorials, please contact the Tutorial Chair: Mengjie Zhang (mengjie.zhang at ecs.vuw.ac.nz). *** Important Dates Special Session Proposal Deadline: 19 November 2020 Workshop Proposal Deadline: 19 November 2020 Competition Proposal Deadline: 17 December 2020 Tutorial Proposal Deadline: 17 December 2020 Paper Submission Deadline: 31 January 2021 Paper Acceptance Notification Date: 22 March 2021 Final Paper Submission Deadline: 7 April 2021 Early Registration Deadline: 7 April 2021 IEEE CEC 2021 dates: June 28 - July 1, 2021 For more information on the congress, please visit: http://cec2021.mini.pw.edu.pl We can also be reached on the social media platforms: https://www.facebook.com/cec2021 https://www.twitter.com/CEC2021 https://www.linkedin.com/company/cec2021 and by email: cec2021 at mini.pw.edu.pl We look forward to welcoming you in Krakow next year! Best regards, Jacek Mandziuk and Hussein Abbass IEEE CEC 2021 General Co-Chairs -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From d.goodman at imperial.ac.uk Thu Aug 6 12:17:18 2020 From: d.goodman at imperial.ac.uk (Dan Goodman) Date: Thu, 6 Aug 2020 17:17:18 +0100 Subject: Connectionists: Free online workshop on spiking neural networks as universal function approximators, Aug 31-Sep 1 Message-ID: <8e9b7705-28e3-dc7a-f125-65a2c606a7d4@imperial.ac.uk> We are holding a free, online workshop on new approaches to training spiking neural networks. Details and registration at: https://neural-reckoning.github.io/snn_workshop_2020/ The last years have seen many exciting new developments to train spiking neural networks to perform complex information processing. This online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. Speakers: * *Sander Bohte* (CWI) * *Iulia M. Comsa* (Google) * *Franz Scherr* (TUG) * *Emre Neftci* (UC Irvine) * *Timothee Masquelier* (CNRS Toulouse) * *Claudia Clopath* (Imperial College) * *Richard Naud* (U Ottawa) * *Julian Goeltz* (Uni Bern) Please pass this message on to anyone you think would be interested. Many thanks, Dan Goodman and Friedemann Zenke -------------- next part -------------- An HTML attachment was scrubbed... URL: From luzhou at ksu.edu Thu Aug 6 15:18:49 2020 From: luzhou at ksu.edu (Lu Zhou) Date: Thu, 6 Aug 2020 19:18:49 +0000 Subject: Connectionists: CfP Deadline Extension : WOP2020@ISWC2020 Workshop on Ontology and Semantic Web Patterns Message-ID: The deadline for the paper submission is now extended to August 17. The WOP website is currently experiencing technical difficulties. But we are working on it. If the website is inaccessible, and you would like to submit the paper, here is the submission link of easychair: 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 17, 2020 4th Call for Papers: Deadline Extension --- 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 a 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 the 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 modeling 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 17, 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 maximilian.scherer at uni-tuebingen.de Fri Aug 7 02:56:19 2020 From: maximilian.scherer at uni-tuebingen.de (Maximilian Scherer) Date: Fri, 7 Aug 2020 08:56:19 +0200 Subject: Connectionists: Multiple PhD and Postdoc positions open in the Institute for Neuromodulation and Neurotechnology at the University of Tuebingen, Germany Message-ID: <050e9132-b22b-9e48-a3dd-a234ad3eba7c@uni-tuebingen.de> Postdocs and PhD students (f/m/d) positions open The Institute for Neuromodulation and Neurotechnology at the University of Tuebingen, Germany, unites neuroscientists, engineers, computer scientists and physicians following a common goal: To improve the lives of patients with neurological disorders using state-dependent stimulation and adaptive neurotechnology for neuromodulation of the nervous system. As a translational group, we develop novel neuromodulation tools and work closely together with biomedical companies to gain access to innovative neurotechnology. We combine basic studies on healthy subjects with clinical studies on patient populations, and apply the knowledge gained from these studies to refine our treatment protocols.? We offer * Access to novel brain stimulation paradigms to expand the understanding of the human brain and develop new therapies. * Opportunity to work with in vivo electrophysiological data from patients and healthy controls. * Support of your work with a broad range of pre-built analysis tools and assistance in designing your own approaches. * Access to state-of-the-art technologies to generate reliable results. * A team that is united by one vision: to enhance the understanding of the human brain in order to invent and implement new and more effective therapies. Qualifications * Master?s degree or PhD in the field of Neuroscience, Cognitive Science, Biology, Computer Science, Engineering, Data Science or related fields. * Solid understanding of statistical data analysis, digital signal processing and/or programming principles. * Programming skills in Python or MATLAB and/or experience in applying statistical tools and/or machine learning for data analysis. * Experience with relevant neuromodulation and/or electrophysiological techniques, e.g., BCI/BMI, tDCS/tACS, TMS, VNS, NMES, DBS, M/EEG, LFP, MER and/or EMG. Application Please include in your application within one pdf-file: * Cover letter outlining (i) how you meet the requirements for the position, (ii) which techniques/methods you would like to be involved in, (iii) relevant details of your past research projects, and (iv) an explanation of how your previous experience lends itself to your research program. (~750 words) * Curriculum vitae (including publication record: research manuscripts, journal papers, conference contributions, etc.) * Names and email addresses of three professional references (e.g. current or previous research advisors) * Transcript of Records * TOEFL scores or other evidence of English and/or German proficiency * GRE scores (optional) ??? Application deadline:? 15.09.2020 Send it electronically to:? neuromodulation at med.uni-tuebingen.de Prof. Dr. Alireza Gharabaghi Institute for Neuromodulation and Neurotechnology Department of Neurosurgery and Neurotechnology University Hospital and University of Tuebingen Otfried-Mueller-Str. 45 | D-72076 T?bingen | Germany Phone +49-7071-29-85849 | Fax +49-7071-29-25104 -- Maximilian Scherer Institute for Neuromodulation and Neurotechnology Department of Neurosurgery and Neurotechnology University Hospital and University of Tuebingen Otfried-Mueller-Str. 45 | D-72076 T?bingen | Germany From smart at neuralcorrelate.com Fri Aug 7 21:10:46 2020 From: smart at neuralcorrelate.com (smart at neuralcorrelate.com) Date: Fri, 7 Aug 2020 21:10:46 -0400 Subject: Connectionists: illusion submission deadline EXTENDED until August 17th: the 2020 Best Illusion of the Year Contest In-Reply-To: <0cd601d66d20$96a7aac0$c3f70040$@neuralcorrelate.com> References: <0c9401d66d1c$d6fb8cd0$84f2a670$@neuralcorrelate.com> <0cd601d66d20$96a7aac0$c3f70040$@neuralcorrelate.com> Message-ID: <0ce501d66d20$c2323660$4696a320$@neuralcorrelate.com> ***Due to popular demand, and in consideration of work restrictions imposed by the Covid-19 crisis*** The deadline for the 16th annual Best Illusion of the YearSM Contest has been extended. The FINAL submission date is now *Monday, August 17th* 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 Monday, August 17th, 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 Professor of Ophthalmology, Neurology, and Physiology & Pharmacology Director, Laboratory of Integrative Neuroscience Author, Champions of Illusion and Sleights of Mind 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 georg.martius at tuebingen.mpg.de Fri Aug 7 05:57:09 2020 From: georg.martius at tuebingen.mpg.de (Georg Martius) Date: Fri, 7 Aug 2020 11:57:09 +0200 Subject: Connectionists: Real robot challenge Message-ID: Dear colleagues, jointly many colleagues at Max Planck and NYU we are organizing a challenge for learning dexterous manipulation on real robots [1]. The challenge starts with a simulation phase on 10th of August where anyone can participate. This will serve as a qualification round to get access to the real platforms. We currently host multiple robotic platforms at the Max Planck Institute for Intelligent Systems. Participants will submit their code as they would for a cluster. This will allow teams to gather hundreds of hours of real robot data with minimal effort. We provide a simulator in PyBullet, tutorials and an easy to use interface. Please check our website [1] and twitter [2] for more details. Best wishes, Georg [1] https://real-robot-challenge.com [2] https://twitter.com/robo_challenge -- ----------------------------------------------------------------- Dr. Georg Martius Phone: +49 7071 601 1719 Office: N-1.015/1 Group Leader Autonomous Learning Group Max Planck Institute for Intelligent Systems Max-Planck-Ring 4 (former Spemannstr 34), 72076 Tuebingen, Germany -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 195 bytes Desc: OpenPGP digital signature URL: From Donald.Adjeroh at mail.wvu.edu Sat Aug 8 00:51:13 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sat, 8 Aug 2020 04:51:13 +0000 Subject: Connectionists: SBP-BRiMS'2020 -- now going virtual; see also New Dates In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies We hope this email finds you well. We also hope that everyone is safe and healthy. Given the recent disruptions caused by the COVID-19 pandemic, we would like to announce some further changes related to this year's SBP-BRiMS conference (http://sbp-brims.org/). The conference will now be held as an online/virtual conference. Conference dates still remain the same. Conference Dates: 2020 SBP-BRiMS conference: October 18 - 21, 2020 October 18: Tutorials October 19 - 21: Main conference. Venue: Online/Virtual Two New Special Tracks: Validation Track: For details, see the CFP at the conference website: http://sbp-brims.org/ COVID-19 Pandemic Track: For details, see the CFP at the conference website: http://sbp-brims.org/ New Deadlines for Short Papers, Special Track Papers, Doctoral Consortium: Old Deadline: August 15, 2020 New Deadline: Sept. 1, 2020 Decision Notification : Sept. 21, 2020 Camera-ready deadline: Sept. 30, 2020 Special issues are planned for selected papers from the main conference, and for the COVID-19 special track. Deadline for submission for Journal Special Issues: Nov. 15, 2020 For more details on paper submission, see the CFP at the conference website: http://sbp-brims.org/ Conference Format: The conference will now be held as an online/virtual conference. More details on this will be forthcoming. Please contact me if you have any questions or comments. Don Adjeroh SBP-BRiMS Publicity Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From huiyu_kang at fudan.edu.cn Sat Aug 8 04:02:03 2020 From: huiyu_kang at fudan.edu.cn (=?utf-8?Q?huiyu=5Fkang?=) Date: Sat, 8 Aug 2020 16:02:03 +0800 Subject: Connectionists: =?utf-8?q?=E3=80=90TRiBS_Online_Journal_Club_04?= =?utf-8?q?=E3=80=91ISTBI=2CFudan_University?= In-Reply-To: References: Message-ID: <71A469ED-EFCF-47EA-B0BF-A2F169F6294B@fudan.edu.cn> An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: A690D28A-B310-49D3-94F6-DD9865A6AE6F.png Type: image/png Size: 95217 bytes Desc: not available URL: From weickert at mia.uni-saarland.de Fri Aug 7 18:52:58 2020 From: weickert at mia.uni-saarland.de (Joachim Weickert) Date: Sat, 8 Aug 2020 00:52:58 +0200 (CEST) Subject: Connectionists: Professor Position, Mathematical Data Analysis, Univ. Saarbruecken Message-ID: The Faculty of Mathematics and Computer Science at Saarland University (Saarbr?cken, Germany) is inviting applications for the following position (tenured full professorship, German salary scale W3) commencing at the earliest opportunity: Professorship (W3) for Mathematics and Computer Science with a Focus on Mathematical Data Analysis (reference number W1731) The successful candidate will have exceptional research and teaching skills, international visibility, and a research direction in mathematical data analysis, with a preferred focus on the mathematical foundations of deep learning. Expertise in at least one of the following areas should be demonstrated: continuous optimization, applied harmonic analysis, compressed sensing, modelling and numerical methods for differential equations, inverse problems, control theory, and information geometry. Additional connections to analytic areas such as convex analysis, differential geometry or Lie groups are welcome. We expect a willingness to collaborate with other groups of the Faculty of Mathematics and Computer Science as well as interest in interdisciplinary co-operations, including within larger collaborative projects. Online application deadline: August 16, 2020. More information: https://www.mia.uni-saarland.de/mda.pdf From contact.projectshort at gmail.com Sat Aug 8 12:52:11 2020 From: contact.projectshort at gmail.com (Project Short) Date: Sat, 8 Aug 2020 12:52:11 -0400 Subject: Connectionists: Pro-bono consulting for med and grad school applicants Message-ID: Hi all, I direct an organization called Project SHORT that provides pro-bono mentorship for applicants to medical and graduate programs. We have a team of over 200 mentors who have worked with over 130 applicants, and our goal is to help diversify the pool of applicants to graduate and medical schools. We're composed of volunteer MD, PhD, and MD/PhD students, all aiming to combat socioeconomic and systemic inequalities in the medical and graduate school admissions processes. Would love it if you could share with your students/any other interested individuals about this opportunity! I've attached a flyer as well; feel free to reach out with any questions. Thanks! Best, Hannah -- Hannah Loo Project SHORT Founder Graduate Student, University of Pennsylvania -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ProjectSHORT-Info.pdf Type: application/pdf Size: 199510 bytes Desc: not available URL: From liang.zhou.18 at ucl.ac.uk Sat Aug 8 15:17:59 2020 From: liang.zhou.18 at ucl.ac.uk (Liang Zhou) Date: Sat, 8 Aug 2020 20:17:59 +0100 Subject: Connectionists: Free Symposium - Neural Interfaces for Neurobiological Insights Message-ID: <5A996D88-1FBD-4FC4-B4D4-F8BFA83EE168@ucl.ac.uk> We are excited to announce this year's virtual SWC / GCNU Student Symposium titled: Neural Interfaces for Neurobiological Insights Brain-machine interfaces (BMIs) leverage neural activity to control external effectors ? from cursors on two-dimensional screens to artificial limbs with many degrees of freedom. Best known for their use in neuroprosthetics, BMIs provide a powerful tool for basic neurobiological research by enabling experimental control over otherwise inaccessible neural and behavioural parameters. ?????????????????????????????????????????? 9th October, 9:45-18:00 BST on Crowdcast . For more information, visit the SWC website . Free ?????????????????????????????????????????? Our stellar list of speakers: Aaron Batista (University of Pittsburgh) Amy Orsborn (University of Washington) Juan Gallego (Imperial College London) Tamar Makin (University College London) Kelly Clancy (DeepMind) Edward Chang (University of California, San Francisco) We will also hear from companies developing neural interfaces: BIOS icibici Facebook Reality Labs Best, SWC / GCNU Systems Seminars team -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sat Aug 8 22:23:28 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sun, 9 Aug 2020 02:23:28 +0000 Subject: Connectionists: Just a reminder -- Workshop on Plant Image Analysis (Monday, Aug. 10 -- 2 days to go) In-Reply-To: References: , , Message-ID: We apologize if you receive multiple copies. As part of the NSF Big Data SPOKE project on "Integrating Biological Big Data Research into Student Training and Education" we would like to invite you to participate in the Workshop on Plant Image Analysis. The workshop will be held on August 10, 2020. This will be held remotely as a virtual workshop. Please visit the website: http://community.wvu.edu/~daadjeroh/workshops/plantImages/ for more information on the workshop, and to register. Workshop attendees are expected to be undergraduate seniors, graduate students, faculty, and others with appropriate background or interests. Level of treatment will be appropriate for a senior undergraduate/first year graduate student, with a general background in science, engineering, or in agriculture. 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 tomislav.milekovic at epfl.ch Sun Aug 9 06:30:24 2020 From: tomislav.milekovic at epfl.ch (Milekovic Tomislav) Date: Sun, 9 Aug 2020 10:30:24 +0000 Subject: Connectionists: Postdoc in machine learning at EPFL (Lausanne, Switzerland) Message-ID: <50cb4371d6c84c25a5e9b889ebdb46f0@epfl.ch> Postdoc position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) Machine learning techniques to develop and enhance clinical treatments based on electrical stimulation of the spinal cord Location: The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded postdoc position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. Postdoc salaries at EPFL rank the highest in the world. Opportunity: The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL's lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Description: Therapies based on epidural electrical stimulation (EES) of the spinal cord can restore the ability to walk to people paralyzed by spinal cord injury, and alleviate gait deficits of people with Parkinson's disease. EES does this by recruiting sensory axons within dorsal spinal roots that enter the spinal cord between the vertebrae to increase the activation of the spinal motor pools that, in turn, move the muscles. Yet, the efficacy of the EES-based therapies relies on synchronizing users' movement intentions with the spatiotemporal stimulation protocols that reliably and accurately generate paralyzed movements. Due to the large state space of all the stimulation parameters (location, amplitude, frequency, etc.) efficacy of the therapy depends on the fast and accurate initialization of the stimulation protocols. As the patients use the stimulation, small movements of the array, as well as changes in spine position due to users' posture can reduce the usability of the stimulation. Stimulation efficacy can be enhanced by dynamically adjusting the stimulation protocols to changes to the way how to users' spinal cord reacts to stimulation. Finally, the functional use of the stimulation largely depends on the accurate timing of stimulation delivery. Machine learning approaches that infer users' intentions based on behavioral, physiological or neural recordings can vastly improve the synchronization between intended and therapy-supported movements and, therefore, play a critical role in achieving functional recovery of patients. While the current medical devices mostly support block-based stimulation protocols that remain constant for hundreds of milliseconds, upcoming devices will enable changes of stimulation at a millisecond resolution, thus opening a new field for machine learning approaches that exploit these capabilities. The successful candidate will work to develop, implement and apply machine learning algorithms and approaches to enhance EES-based therapies. Specifically, he will: * Design the mapping procedures for the generation of transfer functions that relate the continuously-controlled stimulation to the evoked muscle activity. * Develop algorithms that automatically adjust these transfer functions as the interaction between patients and their EES-based therapy evolves. * Implement machine learning techniques that utilize users' behavioral, physiological and neural signals to continuously synchronize the delivery of stimulation with the users' movement intentions. * Lead the team that develops machine learning methods to initialize and adjust block-based EES protocols. * Assist and oversee the development and implementation of machine learning methods that use inference of discrete motor events to synchronize block-based EES protocols with the users' intentions. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge machine learning concepts within medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. The successful candidate will have access to these animal platforms and will work within the framework of multiple NeuroRestore clinical trials with people with spinal cord injury and Parkinson's disease. They will benefit from the possibility of validating their concepts in animal experiments and implementing them within the therapies being tested in the clinical trials. Prerequisites: * Doctoral degree (PhD) * Proficiency in Python, Matlab and C++ * Strong background in quantitative data analysis * Experience with applying multiple machine learning techniques to behavioral, physiological, biological and/or neural datasets * Good written and verbal skills in English Contact: Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic at epfl.ch. Informal inquiries are welcome. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomislav.milekovic at epfl.ch Sun Aug 9 06:24:07 2020 From: tomislav.milekovic at epfl.ch (Milekovic Tomislav) Date: Sun, 9 Aug 2020 10:24:07 +0000 Subject: Connectionists: PhD position in machine learning at EPFL (Lausanne, Switzerland) Message-ID: <9950271914ed4fb1b2a9ae4267822cdc@epfl.ch> PhD position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) Machine learning techniques to develop and enhance computational models of the spinal cord Location: The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded PhD position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. PhD salaries at EPFL rank the highest in the world. Opportunity: The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL's lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Description: A therapy based on epidural electrical stimulation (EES) of the spinal cord can restore the ability to walk to people paralyzed by spinal cord injury. EES does this by recruiting sensory axons within dorsal spinal roots that enter the spinal cord between the vertebrae. Yet, clinically available electrode arrays used to deliver the EES were not designed to target individual spinal roots. Data-driven design of the electrode arrays has the potential to substantially improve the specificity of spinal EES and, therefore, dramatically improve the recovery of people with spinal cord injury. The efficacy of EES can be enhanced through computational algorithms capable of designing EES protocols that fully utilize the interaction between the electrode array and patient's anatomy. These two developments are critical for deployment of the EES-based therapy to clinics around the world to help millions of people suffering from spinal cord injury. We have created a computational pipeline capable of creating detailed computational models of spinal columns from CT, MRI and fMRI recordings. These hybrid models are composed of 3D finite element models (FEM) to characterize the electric current and potential in the spinal cord of individuals, and various abstractions of compartmental cable models and network models of spinal cord neuronal populations and their connections to calculate the effects of EES on the spinal networks and, in turn, the activation of muscles. This computational approach has the potential to optimize the efficacy of EES on a personalized basis, lead to novel superior electrode array designs, and further our understanding of the mechanisms by which spinal cord controls movement. The successful candidate will work to automatize our computational pipeline in order to make the described approaches useful in applied clinical practice. They will work on the development of efficient and robust computer vision algorithms to automatically segment medical imaging datasets. They will also further develop our computational pipeline to enable automatic definition of personalized EES stimulation protocols. Furthermore, they will implement a computational framework around our pipeline that can perform a large-scale and diverse sensitivity and uncertainty analysis. This framework will be critical to enhance the efficacy and explore possible novel applications of spinal cord EES. Prerequisites: - Master's Degree in Physics, Computer Science, Mathematics, Microengineering, Electrical Engineering or related - Proficiency in Python, Matlab and C++ - Experience with computer vision and / or other machine learning techniques - Good written and verbal skills in English Contact: Applications including a CV and a cover letter describing your background and interest should be sent to MachineLearningPhD.Courtine at gmail.com. Informal inquiries are welcome. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomislav.milekovic at epfl.ch Sun Aug 9 06:28:25 2020 From: tomislav.milekovic at epfl.ch (Milekovic Tomislav) Date: Sun, 9 Aug 2020 10:28:25 +0000 Subject: Connectionists: Postdoc in computational modelling at EPFL (Lausanne, Switzerland) Message-ID: Postdoc position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) Data-driven computational modelling to develop and enhance clinical treatments based on electrical stimulation of the spinal cord Location: The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded postdoc position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. Postdoc salaries at EPFL rank the highest in the world. Opportunity: The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL's lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Description: Therapies based on epidural electrical stimulation (EES) of the spinal cord can restore the ability to walk to people paralyzed by spinal cord injury, and alleviate gait deficits of people with Parkinson's disease. EES does this by recruiting sensory axons within dorsal spinal roots that enter the spinal cord between the vertebrae. Yet, clinically available electrode arrays used to deliver the EES were not designed to target individual spinal roots. Data driven design of the electrode arrays has the potential to substantially improve the specificity of spinal EES and, therefore, dramatically improve the recovery of patients. Pre-operative planning and intra-operative assistance based on accurate models of the spine can de-risk the surgery needed to implant the electrode arrays and increase the efficacy of the EES-based therapies. The efficacy of EES can be further enhanced through computational algorithms capable of designing EES protocols that fully utilize the interaction between the electrode array and patient's anatomy. These developments are critical for deployment of the EES-based therapy to clinics around the world to help millions of people suffering from spinal cord injury and Parkinson's disease. We have created a computational pipeline capable of creating detailed computational models of individual persons' spinal columns from CT, MRI and fMRI scans. These hybrid models are composed of: * 3D finite element models (FEM) to characterize the electric current and potential in the spinal cord of individuals. * Compartmental cable models to characterize numerous axon pathways that distribute the information from the spinal cord to rest of the body. * Network models of spinal cord neuronal populations to calculate the effects of EES on the spinal networks and, in turn, the activation of muscles. This computational approach has the potential to optimize the efficacy of EES on a personalized basis, lead to novel superior electrode array designs, and further our understanding of the mechanisms by which spinal cord controls movement. The successful candidate will work to generate highly accurate models of individual human and animal model spines and apply those models to revolutionize the EES-based therapies. Specifically, he will: * Use spinal models to generate new spinal electrode array designs, develop procedures for pre-operative planning and intra-operative assistance, and create methods that determine stimulation protocols from the spinal models. * Lead the work to extend our lumbosacral spinal cord models to thoracic and cervical spinal regions. * Integrate data from ever-more accurate invasive and non-invasive medical imagining and physiology techniques to enhance the accuracy of spinal models. * Coordinate integration of new findings on spinal neuronal populations, spinal networks and spinal pathways into our spinal models. * Assist and oversee the development of tools to automatize the process of spinal model generation. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge computational modeling concepts that support medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. The successful candidate will have access to these animal platforms and will work within the framework of multiple NeuroRestore clinical trials with people with spinal cord injury and Parkinson's disease. They will benefit from the possibility of validating their concepts in animal experiments and implementing them within the therapies being tested in the clinical trials. Prerequisites: * Doctoral degree (PhD) * Proficiency in Python, Matlab and C++ * Experience with finite element models, compartmental cable models and neurobiomechanical models * Experience in NEURON and/or NEST * Experience in OpenSim, Mujoco or Webots * Good written and verbal skills in English Contact: Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic at epfl.ch. Informal inquiries are welcome. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomislav.milekovic at epfl.ch Sun Aug 9 08:27:02 2020 From: tomislav.milekovic at epfl.ch (Milekovic Tomislav) Date: Sun, 9 Aug 2020 12:27:02 +0000 Subject: Connectionists: =?windows-1252?q?Senior_Scientist_=96_Stroke_posi?= =?windows-1252?q?tion_at_the_NeuroRestore_center_=28Lausanne=2C_Switzerla?= =?windows-1252?q?nd=29?= Message-ID: <24b69dac2a714046a79d2d68395a0ccd@epfl.ch> Senior Scientist ? Stroke position at the NeuroRestore center (Lausanne, Switzerland) Location The Defitech Center for interventional Neurotherapies (NeuroRestore) is a research and innovation center joining EPFL?s lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. We conceive, develop and apply medical therapies aimed to restore neurological functions. To this end, we integrate implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, we are committed to validate our medical therapy concepts. Our overarching goal is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Opportunity Over the last decade, research labs under the NeuroRestore umbrella have achieved breakthroughs for the treatment of spinal cord injury and Parkinson?s disease. Our recent studies indicate that similar approaches may lead to novel therapies for stroke. Therefore, we decided to build a strong research core focused on gaining deeper understanding of stroke and resulting neurological deficits, and on developing therapies that leverage the gained understanding to replace or restore motor functions impacted by stroke. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge concepts of medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. Position Summary The Senor Scientist ? Stroke will bring their expertise and experience to build and then lead the stroke research core of the NeuroRestore center. They will develop original research projects across the whole stroke therapy development spectrum, starting from mechanistic understanding of stroke and resulting neurological and motor deficits, over preclinical tests of therapy concepts designed to take advantage of uncovered mechanisms, to clinical validation of therapies designed to alleviate motor deficits secondary to stroke. They will form and lead teams of NeuroRestore postdoctoral scientists, doctoral students, engineers and clinicians to execute these projects. They will train other scientists in their expert techniques and supervise junior scientists working on their projects. They will disseminate the results of their projects through research publications and conference talks and support preparation of scientific conference presentations and publications of other NeuroRestore personnel that works on stroke-related projects. They will take part in writing grant application that will support stroke-related projects. Responsibilities - Identify unmet clinical needs of stroke survivors and monitor the development of the medical neurotech sector to find opportunities for novel, feasible and rapidly realizable stroke therapies - Conceive, organize and plan out research projects - Form and leads teams to execute conceived research projects - Utilize their academic / clinical industry network to form collaborations that will help execute conceived research projects - Assess the project needs, identify relevant personnel and resources, and take part in hiring technical and scientific personnel to build skilled project teams - Train the NeuroRestore personnel in their area of expertise - Run project progress meetings, report on project progress, plan and manage the dissemination of project results - Take part in writing of funding applications to initiate new projects, strengthen / accelerate ongoing projects, or enhance ongoing collaborations - Develop and maintain connections with science labs and clinical centers to facilitate rapid animal and clinical testing of concepts and prototypes of medical treatments - Manage efforts to obtain regulatory approvals for animal studies and clinical trials to validate the concepts of medical therapies - Represent the Neurorestore Center at symposiums and conferences through talks and presentations Personal Traits - Passionate about the development of neurotechnologies that aim to alleviate movement disabilities of stroke - Thriving in a cutting edge, fast-paced, multidisciplinary environment - Self-starter and independent worker with an ability to identify innovative approaches and solutions - Attention to detail - Independent thinker and passionate problem solver Skills - Ability to independently conceive original research projects - Capacity to supervise several research projects in parallel - Capability to successfully lead research teams, and maintain collaborations with external partners - Strong verbal and written presentation skills in English - Experience with leading animal research projects and/or projects under the framework of clinical trials and studies - Track record of obtaining regulatory approvals for animal studies and/or clinical trials - Strong experience with writing project proposals, project progress reports and research articles - Experience in disseminating project progress through talks, presentation and publications - Experience in physiological signal acquisition and signal analysis - Capacity to identify skill gaps and hire personnel to fill them - Experience with writing, filling and obtaining patents - Advanced presentation skills (PowerPoint, Photoshop, Illustrator) - Willingness to travel in order to form / maintain collaborations - Possessing a strong academic, clinical, regulatory and industry network and the ability to use it to organize collaborative projects Experience - Doctoral degree (PhD) - 6 or more years of experience working in the fields of neuroscience / neuroengineering (including the PhD studies) - 3 or more years of experience in stroke-related research - Strong publication record in the stroke field Contact Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic at epfl.ch. Informal inquiries are welcome. -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Mon Aug 10 05:00:10 2020 From: junfeng989 at gmail.com (Jun Feng) Date: Mon, 10 Aug 2020 17:00:10 +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: From hongzhi.kuai at gmail.com Mon Aug 10 05:52:56 2020 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Mon, 10 Aug 2020 18:52:56 +0900 Subject: Connectionists: Call for Papers: IEEE/WIC/ACM WI-IAT 2020 [A Fully Virtual Conference] In-Reply-To: References: Message-ID: [Apologies if you receive this more than once] +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'20) 14-17 December 2020 - A Fully Virtual Conference Homepage: http://wi2020.vcrab.com.au/ Web Intelligence (WI) = AI in the Connected World +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Full Papers Submission Deadline: Sep. 1, 2020 (last deadline extension) Due to the current Stage 4 COVID-19 lockdown in Melbourne and many requests, we have decided that the WI-IAT 2020 will be converted to an entirely virtual conference and the deadline for paper submission has been extended to 1st September 2020. JOURNAL OPPORTUNITIES (possible post conference publication) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ - Web Intelligence Journal ( https://www.iospress.nl/journal/web-intelligence-and-agent-systems/) Publisher: IOS Press - World Wide Web Journal ( https://www.springer.com/journal/11280/updates/17869608) Special Issue on "Web Intelligence = Artificial Intelligence in the Connected World" Publisher: Springer Nature - Information Fusion ( https://www.journals.elsevier.com/information-fusion/call-for-papers/multi-source-information-fusion ) Special Issue on "Multi-Source Information Fusion for Smart Health with AI" Publisher: Elsevier - International Journal of Information Technology & Decision Making ( https://www.worldscientific.com/worldscinet/ijitdm) Publisher: World Scientific - Concurrency and Computation: Practice and Experience ( https://onlinelibrary.wiley.com/journal/15320634) Publisher: Wiley - Information Sciences ( https://www.journals.elsevier.com/information-sciences) Publisher: Elsevier - IEEE Transactions on Fuzzy Systems ( https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=91) Publisher: IEEE Press - Future Generation Computer Systems ( https://www.sciencedirect.com/journal/future-generation-computer-systems) Publisher: Elsevier - Brain Informatics (https://braininformatics.springeropen.com/) Publisher: Springer Nature - Symmetry ( https://www.mdpi.com/journal/symmetry/special_issues/Biological_Network_Analysis_Synthesis_Symmetry ) Special Issue on "Biological Network Analysis and Synthesis for Symmetry" Publisher: MDPI *** Call for papers *** Full Papers Submission Deadline: Sep. 1, 2020 Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance knowledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web?s entities, phenomena, and developments. Web Intelligence and Intelligent Agent Technology (WI-IAT) aims to achieve a multi-disciplinary balance between research advances in theories and methods usually associated with collective intelligence, data science, human-centric computing, knowledge management, network science, autonomous agents and multi-agent systems. It is committed to addressing research that both deepen the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enable the development and application of intelligent technologies. WI-IAT ?20 provides a premier forum and features high-quality, original research papers and real-world applications in all theoretical and technology areas that make up the field of Web Intelligence and Intelligent Agent Technology. WI-IAT ?20 welcomes research, application as well as Industry/Demo-Track paper submissions. Tutorial, Workshop and Special-Session proposals and papers are also welcome. WI-IAT ?20 is officially sponsored by IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), Web Intelligence Consortium (WIC), ACM-SIGAI, Swinburne University of Technology, Deakin University, and technically sponsored by University of Melbourne. WI-IAT ?20 will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings and strategies in utilizing the power of human brains and man-made networks to create a better world. More specifically, the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, and emerging Web in health and smart living in the 5G Era. The main theme for the WI-IAT '20 is "Web Intelligence = AI in the Connected World". It will also feature an industrial session, to embrace innovative concepts, architecture, evaluation and novel applications from industry. TRACKS AND TOPICS ++++++++++++++++++ Track 1: Web of People * Crowdsourcing and Social Data Mining * Human-Centric Computing * Information Diffusion * Knowledge Community Support * Modelling Crowd-Sourcing * Opinion Mining * People Oriented Applications and Services * Recommendation Engines * Sentiment Analysis * Situational Awareness Social Network Analysis * Social Groups and Dynamics * Social Media and Dynamics * Social Networks Analytics * User and Behavioural Modelling Track 2: Web of Data * Algorithms and Knowledge Management * Autonomy-Oriented Computing (AOC) * Big Data Analytics * Big Data and Human Brain Complex Systems * Cognitive Models * Computational Models * Data-Driven Services and Applications * Data Integration and Data Provenance * Data Science and Machine Learning * Graph Isomorphism * Graph Theory * Information Search and Retrieval * Knowledge Graph * Knowledge Graph and Semantic Networks * Linked Data Management and Analytics * Self-Organizing Networks * Semantic Networks * Sensor Networks * Web Science Track 3: Web of Things * Complex Networks * Distributed Systems and Devices * Dynamics of Networks * Industrial Multi-Domain Web * Intelligent Ubiquitous Web of Things * IoT Data Analytics * Location and Time Awareness * Open Autonomous Systems * Streaming Data Analysis * Web Infrastructures and Devices Mobile Web * Wisdom Web of Things (W2T) Track 4: Web of Trust * Blockchain analytics and technologies * Fake content and fraud detection * Hidden Web Analytics * Monetization Services and Applications * Trust Models for Agents * Ubiquitous Computing * Web Cryptography * Monetization services and applications * Web safety and openness Track 5: Web of Agents * Agent Networks * Autonomy Remembrance Agents * Autonomy-oriented Computing * Behaviour Modelling * Distributed Problem-Solving Global Brain * Edge Computing * Individual-based Modelling Knowledge * Information Agents * Local-Global Behavioural Interactions * Mechanism Design * Multi-Agent Systems * Network Autonomy Remembrance Agents * Self-adaptive Evolutionary Systems * Self-organizing Systems * Social Groups and Dynamics Special Track: Emerging Web in Health and Smart Living * Big Data in Medicine * City Brain and Global Brain * Digital Ecosystems * Digital Epidemiology * Health Data Exchange and Sharing * Healthcare and Medical Applications and Services * Omics Research and Trends * Personalized Health Management and Analytics * Smart City Applications and Services * Time Awareness and Location Awareness Smart City * Wellbeing and Healthcare in the 5G Era IMPORTANT DATES +++++++++++++++ Sep 1st, 2020: Full Papers Submission Oct 20th, 2020: Notification of Paper Acceptance/Rejection Dec 14th-17th, 2020: Virtual Conference (Including the main conference and workshops/special sessions) PAPER SUBMISSION GUIDELINES (including Main Conference and Workshops/Special Session Papers) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++ Papers must be submitted electronically in standard IEEE Conference Proceedings format (max 8 pages, templates at https://www.ieee.org/conferences/publishing/templates.html). Submitted papers will undergo a peer-review process, coordinated by the International Program Committee. Paper submission will be done through CyberChair system: https://wi-lab.com/cyberchair/2020/wi20/scripts/submit.php?subarea=WI ACCEPTED WORKSHOPS/SPECIAL SESSIONS +++++++++++++++++++++++++++++++++++ - The 13th International Workshop on Natural Language Processing and Ontology Engineering (NLPOE2020) http://rcei.jiangnan.edu.cn/info/1004/1485.htm Organizers: Yao Liu, Institute of Scientific and Technical Information, China Meng Wang, Jiangnan University, China Yi Huang, Institute of Scientific and Technical Information, China - The 5th International Workshop on Application of Big Data for Computational Social Science (ABCSS2020) https://css-japan.com/abcss2020/ Organizers: Fujio Toriumi, The University of Tokyo, Japan Akira Ishii, Tottori University, Japan Hiroki Takikawa, Tohoku University, Japan Mitsuo Yoshida, Toyohashi University of Technology, Japan Isamu Okada, Soka University, Japan - The 7th International Workshop on Complex Methods for Data and Web Mining (CMDWM) http://feds.ac.cn/index.php/zh-cn/tzgg/2848-call-for-paper-the-7th-workshop-on-complex-methods-for-data-and-web-mining-cmdwm Organizers: Yong Shi, University of Chinese Academy of Sciences, China Lingfeng Niu, University of Chinese Academy of Sciences, China - Social Media Analytics for Health Intelligence: How Artificial Intelligence Transforms Healthcare (SMA4H) http://sma4h.icar.cnr.it Organizers: Carmela Comito, CNR-ICAR, Italy Agostino Forestiero, CNR-ICAR, Italy Clara Pizzuti, CNR-ICAR, Italy - The International Workshop on Data Analytics on Social Media (DASM) https://www.dasm-workshop.qut.edu.au/ Organizers: Yue Xu, Queensland University of Technology, Australia Xiaoying Gao, Victoria University of Wellington, New Zealand Yuefeng Li, Queensland University of Technology, Australia - The 9th International Workshop on Intelligent Data Processing (IDP) -- Online Education Amid COVID19 https://www.comp.hkbu.edu.hk/~csyxli/IDP2020/index.html Organizers: Haolan Zhang, Zhejiang University, China Junwei Wang, Zhejiang University, China Kristen Yuanxi Li, Hong Kong Baptist University, HK, China Paolo Mengoni, Hong Kong Baptist University, HK, China Zhenyu Shu, Zhejiang University, China - Topics of Internet Censorship and Surveillance https://tics.site/ Organizers: Vasilis Ververis, Humboldt University of Berlin, Germany Marios Isaakidis, University College London, United Kingdom Gunnar Wolf, National Autonomous University of Mexico, Mexico We are looking forward to your contributions! ORGANIZATION STRUCTURE ++++++++++++++++++++++ General Chairs * Yuefeng Li, Queensland University of Technology, Australia * Rainer Unland, University of Duisburg-Essen, Germany * Eugene Santos Jr., Dartmouth College, USA Program Committee Chairs * Jing He, Swinburne University of Technology, Australia * Hemant Purohit, George Mason University, USA * Willem-Jan van den Heuvel, The Netherlands * John Yearwood, Deakin University, Australia Local Organizing Chairs * Chi Hung Chi, CSIRO, Australia * Anwaar Ulhaq, Charles Sturt University, Australia * Vicky Mak-Hau, Deakin University, Australia Workshop/Special Session Chairs * Jian Cao, Shanghai Jiaotong University, China * Ke Deng, RMIT University, Australia * Xiaoying Gao, Victoria University of Wellington, New Zealand Tutorial Chair * Rui Zhang, University of Melbourne, Australia Demo Chair * Juan D. Velasquez Silva, University of Chile, Chile Industry Track Chairs * Qing Liu, CSIRO, Australia * Yimu Ji, Nanjing University of Posts and Communications, China Publication Chairs * Guangyan Huang, Deakin University, Australia * Yanfeng Shu, CSIRO, Australia * Ruchuan Wang, Nanjing University of Posts and Communications, China Publicity Chairs * Karin Becker, Universidade Federal do Rio Grande Do Sul, Brasil * Yang Liu, Hong Kong Baptist University, HK, China * Muhammad Abulaish, South Asian University, India * Leonidas Anthopoulos, University of Thessaly, Greece * Yuanfang Li, Monash University, Australia WebMaster * Mengjiao Guo, Swinburne University of Technology, Australia CyberChairMaster * Hongzhi Kuai, Maebashi Institute of Technology, Japan WIC Steering Committee Chairs * Ning Zhong, Maebashi Institute of Technology, Japan * Jiming Liu, Hong Kong Baptist University, HK, China WIC Executive Secretary * Xiaohui Tao, University of Southern Queensland, Australia Contact Information Academic Matters Prof. Jing He, Swinburne University of Technology, Australia Email:jinghe at swin.edu.au Local Arrangement wi.iat.2020.12 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From dimitrije.markovic at tu-dresden.de Mon Aug 10 07:34:20 2020 From: dimitrije.markovic at tu-dresden.de (Dimitrije Markovic) Date: Mon, 10 Aug 2020 11:34:20 +0000 Subject: Connectionists: Special Entropy Issue "Information Theory in Computational Neuroscience" Message-ID: <1597059260864.8635@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 julian.zapata at ceipa.edu.co Mon Aug 10 12:27:49 2020 From: julian.zapata at ceipa.edu.co (Julian Andres Zapata Cortes) Date: Mon, 10 Aug 2020 16:27:49 +0000 Subject: Connectionists: New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques In-Reply-To: References: Message-ID: Call for Chapters Proposals ?New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques? To be published by Springer Verlag on Studies in Computational Intelligence book series Overview Artificial Intelligence (AI) techniques cover the automation of cognitive and physical tasks. These techniques help people perform tasks faster and better and make better decisions. It enables the automation of decision making without human intervention. AI techniques can enhance automation thus reducing intensive human labor and tedious tasks. There are many more ways in which Artificial Intelligence is making a difference for enterprises in marketing decision-making, Customer Relationship Management, Recommender Systems, Problem Solving, Opinion Mining, Augmented Analytics, to mention but a few. In marketing, it is necessary to understand customer needs and desires and aligning products to those needs and desires. A handle on changing customer behavior is vital to make the best marketing decisions. AI simulation and modeling techniques provide reliable insight into the consumers? persona. This will help predict consumers? behavior. Through real-time data gathering, trend analysis and forecasting, an AI system can help businesses make insightful marketing decisions. Furthermore, organizations can identify a consumer?s lifetime value with the help of AI?s buyer persona modeling. It can help organizations manage multiple inputs. During a complex decision-making process, AI can efficiently manage and control different factors at the same point in time. It can source and process large amounts of data within minutes while providing valuable business-based insights. While we humans face decision fatigue, algorithms do not have such limitations, which make AI-based decisions faster and better. Also, AI techniques has provided businesses invaluable insight about consumers, which helps them enhance their communication with the consumers. It also helps retailers predict product demand and respond to it quickly. To that end, opinion mining helps businesses understand why people feel the way they feel. Most often a single customer?s concerns might be common among others. When sufficient opinions are gathered and analyzed correctly, the information gleaned will help organizations gauge and predict the concerns of the silent majority. AI has improved this mining process through automation, which is quicker and more reliable, helping organizations in making critical business decisions. In e-commerce, an AI system learns a consumer?s preference based on ?explicit? or ?implicit? feedbacks. This kind of systems are called recommender systems. A recommender system can provide information helping the organization to reduce bounce rate and craft better customer- specific targeted content. Wise business decisions are made when business executives and decision- makers have reliable data and recommendations. AI not only improves the performance of both the individual members of the team but also the competitive edge of the business. According to above, the main objective of this book is to collect and consolidate innovative and high- quality research contributions regarding to the implementation of conceptual frameworks, strategies, techniques, methodologies, informatics platforms and models about Enterprise Decision- Making Applying Artificial Intelligence Techniques. Topic Coverage Topics of interest in this book include, but are not restricted to: - Expert systems for Optimization Process - Application of Knowledge-Based Methods - Software Tools for Knowledge-Based Systems construction - Artificial Intelligence Applying In Supply Chain - Artificial Intelligence and Block Chain Technology in Logistics and Supply Chain Management - Inventory Control, Production Planning and Scheduling Applying Artificial Intelligence - Decision-Support mechanisms - Knowledge Acquisition & Representation - Business Intelligence - Knowledge-Based Implementation techniques and System Architectures - Decision Support Systems - Intelligent Systems for E-commerce and Electronic Business - Internet of Things (Iot) in Logistics and Supply Chain Management - Case-Based Reasoning - Big Data and Data Mining in Logistics and Supply Chain Management - Fintech o Financial Technology - Context-aware/context-sensitive mobile applications - Machine Learning-based Applications - Neural Networks and Deep Learning Applications - Sentiment Analysis and Opinion Mining in social media - Natural Language Processing Techniques - Simulation in Logistics and Supply Chain Target audience The target audience includes researchers, practitioners and (Masters/PhD) students. Therefore, chapters need to address both scientific and practical implications of the research. * Type of contributions and length - Case studies: In-depth reports of Semantic Web implementations in an organization or business. - Full research papers: Contributions about frameworks, strategies, techniques, methodologies, informatics platforms and models about Enterprise Decision-Making Applying Artificial Intelligence Techniques. - Conceptual papers: Contributions that synthesize existing studies. This type of contributions are typically 18 to 22 pages in length (excluding references) when applying the Springer formatting instructions. Contributions should be original and not be submitted elsewhere. Submission Guidelines and Other Considerations Chapters submitted must not have been previously published or be under consideration for publication in other journals, books, though they may represent significant extensions of prior work. All submitted chapters will undergo a rigorous peer-review process (with at least two reviewers) that will consider programmatic relevance, scientific quality, significance, originality, style and clarity. The acceptance process will focus on chapters that address relevant contributions in the form of theoretical and experimental research and case studies applying new perspectives for Enterprise Decision-Making Applying Artificial Intelligence Techniques. Before submitting a chapter proposal, authors must carefully read over the Springer?s Author Guidelines. Authors should submit their complete chapter via email to: julian.zapata at ceipa.edu.co, galor at ito- depi.edu.mx, csanchezr at ito-depi.edu.mx and jorge.garcia at uacj.mx . The subject of the email should be: ?Chapter Submission: New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques. Publication Fees There are not publication fees for accepted chapters. Important Dates - Submission deadline: October 1th, 2020 - Reviews and acceptance notification: October 15th, 2020 - Camera-Ready papers due: October 30th, 2020 -Publication (tentative): February 2021 Editors Julian Andres Zapata-Cortes, PhD. CEIPA Business School, Colombia. Email: julian.zapata at ceipa.edu.co Giner Alor-Hern?ndez, Ph.D. Instituto Tecnol?gico de Orizaba, M?xico Email: galor at ito-depi.edu.mx Cuauhtemoc Sanchez-Ramirez, Ph.D. Instituto Tecnol?gico de Orizaba, M?xico. Email: csanchezr at ito-depi.edu.mx Jorge Luis Garc?a-Alcaraz, Ph.D. Universidad Aut?noma de Ciudad Ju?rez, Mexico Email: jorge.garcia at uacj.mx -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: CFC New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques.rtfd.zip Type: application/zip Size: 4454 bytes Desc: CFC New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques.rtfd.zip URL: From etsalapati at gmail.com Tue Aug 11 10:53:39 2020 From: etsalapati at gmail.com (Eleni Tsalapati) Date: Tue, 11 Aug 2020 17:53:39 +0300 Subject: Connectionists: CfP: AI4LEGAL2020 Workshop Message-ID: CALL FOR PAPERS ================ International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL2020) In the context of the International Semantic Web Conference 2020 (ISWC 2020) Virtual Event November 2 or 3, 2020 http://ai.di.uoa.gr/#iswc20-workshop Legislation applies to every aspect of people?s living and evolves continuously building a huge network of interlinked legal documents. Therefore, it is important for a government to offer services that make legislation easily accessible to the citizens aiming at informing them, enabling them to defend their rights, or to use legislation as part of their job. It is equally important to have law professionals (lawyers, judges, etc.) access legislation in ways that allow them to do their job easily (e.g., they might need to be able to see the evolution of a law over time). Finally, in the age of the Web, it is important to enable software developers to develop applications for citizens and law professionals easily, by connecting the available laws with other kinds of government or private sector information. Towards this direction, there are already many countries in Europe and elsewhere that have computerized the legislative process by developing platforms for archiving legislation documents and offering on-line access to them using standards such as Akoma Ntoso (aka LegalDocML) which is an OASIS standard, the European standard CEN-MetaLex, the European Legislation Identifier, the European Case Law Identifier etc. There also private companies (e.g., ROSS Intelligence, LexisNexis, RAVEL, LexMachina etc.) that specialize on providing digital services for law, case law, compliance, contracts, etc. The vision of the AI4LEGAL international workshop is to bring together Artificial Intelligence researchers and practitioners to work on the problem of digitization of legislation and legal documents in today?s interconnected world. Topics of Interest =================== Topics of interest include, but are not limited to: -Natural language processing techniques for legal documents -Legal knowledge graphs -Knowledge representation and reasoning techniques for legal documents -Explainable AI for legal documents -Linked data for legal documents -Machine learning techniques for legal documents -Scalable deep learning techniques for legal text analytics -Question answering for legal documents -Chatbots for legal documents -Language resources for digital legal document research and development -National or international initiatives and digital platforms for legislation -Multilingualism -Specific application areas (legislation, judicial decisions, case law, compliance, contracts) Submissions =========== Contributions to the workshop can be made in terms of long or short papers. Long papers should be at most 16 pages including references. Short papers should be of at most 8 pages including references. All contributions should be prepared in PDF format and should be submitted through the workshop submission site. -All papers and abstracts have to be submitted electronically via https://easychair.org/conferences/?conf=ai4legal2020 -All submissions must be in English. -Submissions must be in PDF formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer?s Author Instructions. -Accepted papers will be published as AI4LEGAL workshop proceedings. At least one author of each accepted paper must register for the workshop to present the paper. -The proceedings of the workshop will be made publicly available before the workshop on the platform http://ceur-ws.org/ Important Dates =============== Activities |Due Date -------------------------------------------- Papers due |August 17, 2020 Notification of acceptance or rejection |September 11, 2020 Camera ready paper due |September 25, 2020 All deadlines are midnight Athens time (GMT+2). Workshop Format =============== The workshop will follow the traditional format (invited talks, presentations by paper authors, questions from the audience) but will encourage discussion and identification of open issues by giving enough time for questions after presentations. Venue ====== There is no physical venue. The workshop will be held on-line like the rest of ISWC 2020. Program Chairs =============== Grigoris Antoniou, University of Huddersfield, United Kingdom ( https://pure.hud.ac.uk/en/persons/grigoris-antoniou) Guido Governatori, Data 61 CSIRO, Australia ( http://www.governatori.net/research/index.html) Manolis Koubarakis, National and Kapodistrian University of Athens and Leader of Nomothesia project, Greece (http://cgi.di.uoa.gr/~koubarak/) Elena Montiel Ponsoda, Universidad Polit?cnica de Madrid, Spain ( http://mayor2.dia.fi.upm.es/oeg-upm/index.php/en/teachers/52-emontiel/) Eleni Tsalapati, National and Kapodistrian University of Athens, Greece Program Committee ================== Nikolaos Aletras, University of Sheffield, United Kingdom Ion Androutsopoulos, Athens University of Economics and Business, Greece Karim Benyekhlef, Cyberjustice Laboratory, University of Montreal, Canada Ilias Chalkidis, Athens University of Economics and Business and NCSR Demokritos, Greece Jack G. Conrad, Thomson Reuters, United States of America Randy Goebel, University of Alberta and ROSS Intelligence, Canada Martin Kaltenb?ck, Semantic Web Company, Austria George Karvelis, Ministry of Digital Governance and European Public Law Organization, Greece John P. McCrae, Insight Centre for Data Analytics, NUI Galway, Ireland Marc van Opijnen, Publications Office of the Netherlands and European Case Law Identifier expert group, The Netherlands Jeff Z. Pan, The University of Aberdeen, UK V?ctor Rodr?guez-Doncel, Universidad Polit?cnica de Madrid, Spain Pompeu Casanovas Romeu, Autonomous University of Barcelona, Spain, and La Trobe University, Australia Ken Satoh, National Institute of Informatics and Sokendai, Japan Clara Smith, Universidad Nacional de La Plata, Argentina Martin Theobald, University of Luxembourg, Luxembourg Leon van de Torre, University of Luxembourg, Luxembourg John Zeleznikow, Victoria University, Australia Contact ======= For more information please contact us at etsalapati at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From mihaela.rozman at tuwien.ac.at Tue Aug 11 10:13:20 2020 From: mihaela.rozman at tuwien.ac.at (Mihaela Rozman) Date: Tue, 11 Aug 2020 16:13:20 +0200 Subject: Connectionists: Call for Participation - CONCUR 2020 - 31th International Conference on Concurrency Theory part of QONFEST 2020 - ONLINE (Vienna, Austria) - September 1-4, 2020 References: <08e401d66fe8$589edb70$09dc9250$@tuwien.ac.at> Message-ID: <0a7701d66fe9$915c80b0$b4158210$@tuwien.ac.at> CONCUR 2020 - Call for Participation ==================================== Early Registration Deadline: 13 August 2020 https://concur2020.forsyte.at ==================================== The 31th International Conference on Concurrency Theory (CONCUR) will be held online on 1-4 September 2020. The purpose of the CONCUR conferences is to bring together researchers, developers, and students in order to advance the theory of concurrency, and promote its applications. It is held as part of the QONFEST 2020, the umbrella conference comprising the joint international 2020 meetings alongside with several workshops and tutorials. ================ Keynote speakers ================ -Roderick Bloem - TU Graz (Austria) -Thomas A. Henzinger - IST (Austria) -Annabelle McIver - Macquarie University (Australia) -Catuscia Palamidessi - INRIA Saclay and LIX (France) ================ High-quality papers =================== CONCUR 2020 features 45 high-quality papers: https://concur2020.forsyte.at/accepted.html The program of CONCUR 2020 can be found at: https://easychair.org/smart-program/CONCUR20 ==================================== Co-located conferences and workshops ==================================== CONCUR 2020 is part of the umbrella conference QONFEST 2020 comprising the joint international 2020 meetings CONCUR, FMICS, FORMATS, QEST, alongside with tutorials and the workshops EXPRESS/SOS, FRIDA, SNR, TRENDS, and QAVS. More details to be found at: https://qonfest2020.github.io and https://concur2020.forsyte.at/workshops.html ============ Registration ============ This year, the early registration fee (August 13, 2020) for the whole of QONFEST is only 10 EUR. The early workshop registration fee is 5 EUR. Late registration is 50% more expensive (15 EUR and 8 EUR, respectively). More information at: https://qonfest2020.github.io/registration.html ================== Organizing Committee ================== QONFEST General Chair: -Ezio Bartocci (TU Wien, Austria) Workshop Chair: -Florian Zuleger (TU Wien, Austria) Program Co-chairs: -Igor Konnov (Informal Systems, Austria) -Laura Kovacs (TU Wien, Austria) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dominik.endres at uni-marburg.de Tue Aug 11 09:05:12 2020 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Tue, 11 Aug 2020 15:05:12 +0200 Subject: Connectionists: PhD position on human resource rationality Message-ID: <2605260.LeIl216Htx@pc04174> We offer a PhD position in the research training group RTG 2271 "Breaking Expectations" https://www.uni-marburg.de/en/fb04/rtg-2271[1] in the department of Psychology at the Philipps-Universit?t Marburg. In this sub-project, we investigate whether individual humans are Bayesian resource- rational learners under naturalistic conditions where possible (virtual reality), and in online experiments. Specifically, we will compare the learning dynamics of these models and their dealing with expectation violations to human behavior. One possible application direction are models of chronic and acute pain perception and prediction. The project requires a keen interest in the computational and mathematical modeling of human experimental data. Interest in designing and carrying out such experiments is a plus. Benefits of membership in the GRK 2271 include: - scientific exchange with a vibrant community of PhD students and PIs of the other projects - possibility of (funded) lab visits with international mentors/collaborators - yearly retreats in the scenic Kleinwalsertal Formal requirements are: * a qualified degree in psychology, or computer science, or cognitive science, or engineering, or physics (Master, Diploma, or comparable) as well as * demonstrable programming experience in a high-level language, e.g. Python or Matlab. We expect you to be interested in: * the topic of the project (to be documented in a motivation letter [1 page max], in which you may refer to prior experiences, for instance, a thematically pertinent thesis, student research assistant positions, etc.) * quantitative modeling * developing virtual-reality scenarios and technology for research purposes Advantageous qualifications are: * prior exposure to machine learning, associative, Bayesian or other mathematical learning models and Bayesian statistics * willing to learn basic German language skills Application deadline: 28.08.20 For further information, please contact Prof. Dominik Endres (dominik.endres at uni- marburg.de[2]). The official job advert can be found here (deadline has been extended to 28.08.20): https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezernat2/ personalabteilung/bewerber/stellen/wissenschaftliche-stellen/fb04-0026-wmz-310720- engl.pdf[3] -- Prof. Dr. Dominik Endres AE Theoretische Kognitionswissenschaft Allgemeine und Biologische Psychologie FB Psychologie, Gutenbergstr 18, 35032 Marburg, Germany Tel. +49-(0)6421-28-23818 -------- [1] https://www.uni-marburg.de/en/fb04/rtg-2271/beschreibung [2] mailto:dominik.endres at uni-marburg.de [3] https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezernat2/ personalabteilung/bewerber/stellen/wissenschaftliche-stellen/fb04-0026-wmz-310720- engl.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From inesdomingues at gmail.com Tue Aug 11 10:09:43 2020 From: inesdomingues at gmail.com (=?UTF-8?Q?In=C3=AAs_Domingues?=) Date: Tue, 11 Aug 2020 15:09:43 +0100 Subject: Connectionists: RECPAD 2020 - Call for Papers - Deadline: September, 11th In-Reply-To: References: Message-ID: Apologies if you receive this more than once. ============================================================ CALL FOR SUBMISSIONS (Deadline: September 11th, 2020) https://recpad2020.uevora.pt/ ============================================================ 26th RECPAD - Portuguese Conference on Pattern Recognition October 30, 2020, Online event RECPAD is the annual Portuguese Conference on Pattern Recognition, sponsored by APRP (Portuguese Association for Pattern Recognition). It is a one-day conference with an invited keynote speaker and poster session. This year, RECPAD 2020 will be organized by the University of ?vora and held online on October 30th, 2020. Authors willing to participate in the RECPAD 2020 should submit extended abstracts (2 pages) until September 11th via EasyChair. All submissions will be subject to blind review by members of the Scientific Committee before acceptance. The accepted works will be presented as a poster and will be compiled and distributed only in electronic format; they will not be indexed. It is a good opportunity for sharing experiences between young and senior researchers, showcasing their work and looking ahead to the future. RECPAD aims to promote the collaboration between the Portuguese scientific community in the fields of Pattern Recognition, Image Analysis and Processing, Soft Computing, and related areas, including, but not limited to: ? Statistical, structural, syntactic pattern recognition; ? Neural networks, machine learning, data mining; ? Discrete geometry, algebraic, graph-based techniques for pattern recognition; ? Signal analysis, image coding and processing, shape and texture analysis; ? Computer vision, robotics, remote sensing; ? Document processing, text and graphics recognition, digital libraries; ? Speech recognition, music analysis, multimedia systems; ? Natural language analysis, information retrieval; ? Biometrics, biomedical pattern analysis and information systems; ? Special hardware architectures, software packages for pattern recognition. ============================================================ PAPER SUBMISSION https://easychair.org/conferences/?conf=recpad2020 ============================================================ IMPORTANT DATES September 11 - Submission Deadline October 2 - Notification October 9 - Camera-Ready Deadline https://recpad2020.uevora.pt/ ============================================================ The Organizing Committee of RECPAD 2020 Teresa Gon?alves, Universidade de ?vora Lu?s Rato, Universidade de ?vora Pedro Salgueiro, Universidade de ?vora Miguel Bar?o, Universidade de ?vora Eduardo Medeiros, Universidade de ?vora -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.c.kampffmeyer at uit.no Wed Aug 12 03:59:25 2020 From: michael.c.kampffmeyer at uit.no (Michael Kampffmeyer) Date: Wed, 12 Aug 2020 07:59:25 +0000 Subject: Connectionists: Open 3-year postdoctoral position in the Machine Learning Group at UiT The Arctic University of Norway Message-ID: Open 3-year postdoctoral position in the Machine Learning Group at UiT The Arctic University of Norway (application deadline 3rd September 2020). We are seeking a postdoctoral research fellow to take an active role in the group?s research on advancing machine learning methodology. Special emphasis will be given to candidates who have experience working with modern machine learning, deep learning and data-driven health. Experience working with unsupervised or semi-supervised methods is desired. The overarching basic research idea is to develop unsupervised and semi-supervised approaches for machine learning and deep learning. The candidate will seek to develop novel methodology for use within the applied fields of the group. This includes data-driven health (close collaboration with the University Hospital of North Norway), as well as image analysis research together with collaborating partners, in addition to industrial research. The candidate is expected to master tools such as e.g. TensorFlow and/or Pytorch. For details, please see: https://www.jobbnorge.no/en/available-jobs/job/190781/postdoctoral-research-fellow-in-machine-learning The successful candidate will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections. Please contact Michael Kampffmeyer (michael.c.kampffmeyer at uit.no) or Robert Jenssen (Robert.jenssen at uit.no) for more info. Best, Michael -------------- next part -------------- An HTML attachment was scrubbed... URL: From dorien.herremans at gmail.com Wed Aug 12 23:42:03 2020 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Thu, 13 Aug 2020 11:42:03 +0800 Subject: Connectionists: Exclusive PhD studentships in AI and audio/music/finance/emotion Message-ID: Dear community, AI.SG is offering scholarships to top students who are interested in AI research. My lab at Singapore University of Technology and Design has positions for those interested in research on *AI for audio/music/finance and NLP/emotion.* More information about the lab and our projects: dorienherremans.com Since this is an elite scholarship you can only apply if you have: - high GPA - Master's degree, or existing core ranked publications More information on the scholarship: https://www.aisingapore.org/research/aisg-phd-fellowship-programme/ If you are interested in applying, please send me an email with subject [PhD AISG] at dorien_herremans at sutd.edu.sg Best Dorien -- Dorien Herremans, PhD Assistant Professor http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 1.502-18 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sbminna at gmail.com Thu Aug 13 03:47:46 2020 From: sbminna at gmail.com (Inna S) Date: Thu, 13 Aug 2020 10:47:46 +0300 Subject: Connectionists: Computational Neuroscientist Faculty Position at the Gonda Multidisciplinary Brain Research Center, Bar-Ilan University In-Reply-To: References: Message-ID: The Gonda Multidisciplinary Brain Research Center at Bar-Ilan University looking for excellent early-stage scientist for tenure track position (rank commensurate with qualifications and experience) starting in the academic year 2021-2022. The position is open for a candidate with a focus in *computational neuroscience*, including theoretical neuroscience and modelling. All applicants will be evaluated for merit. The appointments are subject to budgetary approval. The Gonda Multidisciplinary Brain Research Center at Bar-Ilan University brings together researchers from a variety of fields essential for understanding the brain, including life sciences, neurophysiology, psychology, linguistics, computer science, mathematics and physics. Research at the Center addresses the brain at all levels - from behavior and cognitive processing through neural circuits, all the way to molecular mechanisms, in health and in disease. Candidates are expected to have a doctorate and post-doctoral training in relevant fields, and to show an excellent track-record for their stage of career. Interested candidates should submit a letter of application, CV and a research statement. For more information, inquiries and applications, please contact Dr. Inna Sukhotinsky (Inna.Sukhotinsky at biu.ac.il). BIU is an equal opportunity employer and all qualified applicants will receive consideration for employment. *Submission deadline:* October 12, 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sebastiano.vascon at unive.it Wed Aug 12 07:15:04 2020 From: sebastiano.vascon at unive.it (Sebastiano VASCON) Date: Wed, 12 Aug 2020 13:15:04 +0200 Subject: Connectionists: Postdoc at University of Venice - Knowledge Graph and Graph Neural Network Message-ID: Dear all, we have one open position in the Artificial Intelligence Unit of the European Centre for Living Technology @ Ca? Foscari University of Venice, Italy. *Knowledge Graph and Graph Neural Network* This project aims to develop advanced (deep) machine learning techniques for information extraction from knowledge graphs in the context of cultural heritage. The research activity will focus on the development of innovative methods for static and dynamic clustering on top of knowledge graphs. In this context, graph neural networks will play a central role in generating highly expressive latent representations of knowledge graph nodes. The work will be carried out within the EU funded project H2020, MEMEX: MEMories and EXperiences for inclusive digital storytelling. *Deadline: August 14, 2020 at 12:00 Italian Time Zone (CET)* Italian call: https://apps.unive.it/common2/file/download/assegni_ricerca/5f16a9dd0f3d9 English call: https://apps.unive.it/common2/file/download/assegni_ricerca/5f16a9dd1088c *Deadline: August 14, 2020 at 12:00 Italian Time Zone (CET)* Candidates should possess a Ph.D. degree in Computer Science or related disciplines. In addition, they should have a good background in machine learning, and solid programming skills. They must have the ability to work independently and with an interdisciplinary team. We are offering a competitive salary (~28.5K euro per year) and the opportunity to work closely with high-profile members of the project consortia across Europe, in the heart of one of the world's most fascinating cities. The initial appointment will be for one year. For more information do not hesitate to contact me Best regards Sebastiano -- Assistant Professor @ Department of Environmental Sciences, Informatics and Statistics Ca' Foscari University of Venice European Center for Living Technology -------------- next part -------------- An HTML attachment was scrubbed... URL: From ezio.bartocci at tuwien.ac.at Wed Aug 12 06:47:46 2020 From: ezio.bartocci at tuwien.ac.at (Ezio Bartocci) Date: Wed, 12 Aug 2020 12:47:46 +0200 Subject: Connectionists: QONFEST 2020 (CONCUR, FMICS, FORMATS, QEST + WORKSHOPS) - Call for Participation (Early Registration Deadline: 13 August 2020) Message-ID: <66AC7DB7-C3E2-4754-A52C-9E311FC4AAA3@tuwien.ac.at> QONFEST 2020 - Call for Participation ==================================== August 31st - September 5, 2020 (CEST Time Zone) Amid the recent COVID-19 situation, the organization committee decided that QONFEST 2020, will be organized online on ZOOM. Early Registration Deadline: 13 August 2020 https://qonfest2020.github.io/ QONFEST is the umbrella conference comprising the joint international 2020 meetings: CONCUR 2020, the 31st International Conference on Concurrency Theory FMICS 2020, the 25th International Conference on Formal Methods for Industrial Critical Systems FORMATS 2020, the 18th International Conference on Formal Modeling and Analysis of Timed Systems QEST 2020, the 17th International Conference on Quantitative Evaluation of SysTems alongside with several workshops (EXPRESS/SOS, FRIDA, QAVS, TRENDS, SNR) and QEST tutorials. The topics covered are Theory, Formal Modelling, Verification, Performance Evaluation and Engineering of concurrent, timed, industrial critical, and other systems. Keynote speakers ================ - Alessandro Abate - University of Oxford (UK) - Roderick Bloem - TU Graz (Austria) - Thomas A. Henzinger - IST (Austria) - Annabelle McIver - Macquarie University (Australia) - Catuscia Palamidessi - INRIA Saclay and LIX (France) - Stefan Resch - Thales, (Austria) - Evgenia Smirni - College of William and Mary, (USA) Registration ============ This year, the early registration fee (August 13, 2020) for the whole of QONFEST is only 10 EUR. The early workshop registration fee is 5 EUR. Late registration is 50% more expensive (15 EUR and 8 EUR, respectively). More information at: https://qonfest2020.github.io/registration.html Organizing Committee ================== General Chair - Ezio Bartocci, TU Wien, Austria Workshops Chair - Florian Zuleger, TU Wien, Austria CONCUR PC-Chairs - Igor Konnov, INRIA Nancy, France - Laura Kovacs, TU Wien, Austria FMICS PC-Chairs - Dejan Nickovic, AIT, Austria - Maurice ter Beek, ISTI-CNR, Italy FORMATS PC-Chairs - Nathalie Bertrand, INRIA, France - Nils Jansen, Radboud University Nijmegen, Netherlands QEST PC-Chairs - Marco Gribaudo, Politecnico di Milano, Italy - David N. Jansen, Chinese Academy of Sciences, China - Anne Remke, University of M?nster, Germany Publicity Chairs - Carlos E. Budde, University of Twente, Netherlands - Panagiotis Katsaros, Aristotle University of Thessaloniki, Greece - Ana Sokolova, University of Salzburg, Austria -- Prof. Ezio Bartocci Faculty of Informatics TU Wien, Vienna University of Technology, Austria Treitlstra?e 3, 1040 Vienna, Austria E-Mail: ezio.bartocci at tuwien.ac.at -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro.adamou at insight-centre.org Thu Aug 13 14:28:35 2020 From: alessandro.adamou at insight-centre.org (Alessandro Adamou) Date: Thu, 13 Aug 2020 19:28:35 +0100 Subject: Connectionists: PhD position at VU Amsterdam on Meaning and Understanding in Human-centric AI Message-ID: Dear fellow Connectionists, A full-time, research position is available at Vrije Universiteit Amsterdam on developing hybrid, human-centric intelligent systems in the EU funded MUHAI project (/Meaning and Understanding in Human-centric AI/). https://workingat.vu.nl/ad/phd-student-position-on-meaning-and-understanding-in-human-centric-ai-systems/jmabk3* Location: * AMSTERDAM *FTE: * 1 Job description The MUHAI project aims to create human-centric AI technologies able to better convey meaning and understanding. We will investigate how to create meaning of experiences through descriptions of events, actors, entities and their roles; intentions, values and motivations of the actors; and temporal, spatial and causal relations between events. These representations will be cast into coherent narratives that will allow an intelligent system to understand new situations through past experiences. This innovative project? will significantly advance the systems? ability to capture rich and complex understanding by combining a number of AI techniques (deep networks, knowledge graphs, simulation engines). Requirements Candidates are expected to have a background (Master or completed Ph.D.) in Computer Science or Artificial Intelligence. Expertise in data modelling and semantic technologies is required, knowledge of machine learning is a plus. Good communication and presentation skills in English are required, as well as the ability to work in an international team. *Your duties* The position will be held in collaboration with prof. Frank van Harmelen and dr. Annette ten Teije in the Knowledge Representation & Reasoning group, a world-leading group in knowledge representation and semantic technologies. Regular contacts with the project partners (University of Bremen, Venice International University, Vrije Universiteit Brussel, Sony Europe BV) are also foreseen. -------------- next part -------------- An HTML attachment was scrubbed... URL: From behnke at cs.uni-bonn.de Thu Aug 13 07:03:18 2020 From: behnke at cs.uni-bonn.de (Sven Behnke) Date: Thu, 13 Aug 2020 13:03:18 +0200 Subject: Connectionists: Assistant Professorship Embedded Visual Computing @ University of Bonn Message-ID: <1b2c6775-a61e-de0a-d413-25c3185db2ef@cs.uni-bonn.de> The Computer Science Institute at the Faculty of Mathematics and Natural Sciences of the University of Bonn, Germany, invites applications for a ? *W1-Professorship (Tenure Track W2) for Embedded Visual Computing* starting as soon as possible. The institute is looking for excellent candidates holding a doctoral degree who are about to establish their own research agenda, complementing our current activities in the areas of Visual Computing, Artificial Intelligence, Intelligent Systems, and Robotics. Applicants must have demonstrated scientific excellence in at least one of the following areas: - Deep learning for visual computing - Parallel architectures for visual learning or inference - Embedded systems for visual perception or display - Energy-efficient computing - Edge computing - Novel computing paradigms, such as computing with stochastic elements or ? neuromorphic computing. The successful candidate has a strong publication record. It is expected that the successful candidate actively participates in collaborative research initiatives of the Computer Science Institute. Initial teaching duties are four hours per week during lecture periods, e.g., in our English Master Computer Science programme. The initial employment of three years will be extended for three more years after a positive intermediate evaluation. After successful tenure evaluation, the position will be permanent with W2 denomination. This professorate is funded by the Tenure Track Program of the German Federal Government and the Federal States. Awarding tenure is not subject to a vacancy at the time when the fixed-term contract of the tenuretrack position expires. This call is aimed at early-career researchers. Candidates must have changed universities following the doctorate or have been working in academic research outside of the University of Bonn for at least two years prior to applying. Formal requirements are defined by $36 of the Higher Education Act of North Rhine-Westphalia (Hochschulgesetz Nordrhein-Westfalen). Regulations on tenure track at the University of Bonn and further information on tenure track professorates at the University of Bonn are available at https://www.uni-bonn. de/research/argelander-program/after-your-doctoral-studies/tenuretrack The University of Bonn actively supports diversity and equal opportunities. The University of Bonn has been certified as a family-friendly university and has a dual career service. Its aim is to increase the proportion of women in those fields in which women are underrepresented and to place a special focus on promoting their careers. Therefore, the university specifically requests applications from suitably qualified women. Applications will be handled in accordance with the Equal Opportunities Act of North Rhine-Westphalia. Applications from suitably qualified people with severe disabilities that have already been verified or from people with an equivalent status will be particularly welcomed. Applicants are asked to send their applications, including a CV with list of ten most important publications, full list of publications, research statement, teaching statement, and copies of degree certificates, as one PDF file to fachgruppe at informatik.uni-bonn.de. Applications received by September 15, 2020 are guaranteed full consideration. https://www.uni-bonn.de/die-universitaet/stellenangebote/dez.-3/w1-embedded-visual-computing-eng-eva-krit From xiaochun.cheng at gmail.com Thu Aug 13 10:28:14 2020 From: xiaochun.cheng at gmail.com (Xiaochun Cheng) Date: Thu, 13 Aug 2020 15:28:14 +0100 Subject: Connectionists: Special Issue on Deep Learning for 5G IoT Systems Message-ID: <012a01d6717d$fdc40120$f94c0360$@gmail.com> Special Issue on Deep Learning for 5G IoT Systems http://www.springer.com/cda/content/document/cda_downloaddocument/CFP+JMLC+S pecial+Issue+-+DL+for+5G+IoT.pdf?SGWID=0-0-45-1661559-p173917603 Submission of manuscript by August 28, 2020 International Journal of Machine Learning and Cybernetics https://link.springer.com/journal/13042 Indexed in Science Citation Index Expanded, JCR Q1. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Thu Aug 13 18:21:12 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Thu, 13 Aug 2020 22:21:12 +0000 Subject: Connectionists: Fwd: CFP - DEVIANCE 2020 In-Reply-To: References: , , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies We hope this email finds you well. We also hope that everyone is safe and healthy. Please consider submitting your valuable work to DEVIANCE 2020 workshop. Below is the CFP along with contact information (in case needed). Workshop Link: https://cosmos.ualr.edu/workshops/deviance/2020/ Wiki CFP link: http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=110196©ownerid=164458 =================== DEVIANCE 2020 | Call for Papers =================== DEVIANCE 2020, Workshop on Deviant Activities on Social Media In conjunction with 2020 IEEE Conference on BigData (IEEE BigData 2020) Event Schedule: December 10-13, 2020 @ Atlanta, GA, USA (due to COVID-19 the workshop will be held virtually). Workshop page: https://cosmos.ualr.edu/workshops/deviance/2020/ Submission page: https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=S41&undisplay_detail=1&wh=/cyberchair/2020/bigdata20/scripts/ws_submit.php DEVIANCE 2020: ------------- With the proliferation of smart devices, mobile applications, and social network platforms, the social side effects of these technologies have become more profound, especially in social and political disintegration. Several journalistic and academic investigations have reported that modern communication platforms such as social media (e.g., Twitter, Facebook, blogs, YouTube, and the ?deep web? channels) are strategically used to coordinate cyber propaganda campaigns. Several researchers have studied these campaigns and identified various tactics, techniques, and procedures used by various online deviant groups, e.g., online propagandists? groups or terrorist groups sympathizers. Various social media platforms utilized the research findings to detect and curb some of these campaigns, however, the techniques that are used evolve and adapt to go undetected. This is a growing problem. In this workshop, our aim is to have a scientific discussion among the experts who study deviant activities on social media, including but not limited to, detection of deviant/disruptive behaviors on social media; misinformation detection, identification, and dissemination; case studies of misinformation; etc. This includes the following topics: - Misinformation detection - Misinformation dissemination strategies - Cross-platform dissemination - Hashtag Latching - Propaganda dissemination - Deviant behaviors on social media platforms - Coordination strategies and detection - Cyber Flash Mobs - Spamming - Algorithmic Manipulation such as Recommendation Manipulation - Inorganic behaviors - Bots behaviors, evolution, and detection - Online Trolls detection and strategies, - Hate Speech (Toxic or polarizing or disruptive content) - Narratives in misinformation campaigns **In the light of the COVID-19 pandemic and the upcoming the US. elections, we also solicit papers focused on disinformation and misinformation being disseminated related to these events.** Tentative Dates: --------------- Submission due: August 28, 2020 Notification to authors: October 25, 2020 Camera ready due: November 8, 2020 Submission Info: --------------- Full paper manuscripts must be in English with a maximum length of 10 pages (using the IEEE two-column template). Submissions should be in PDF and include the title, author(s), affiliation(s), e-mail address(es) and abstract on the first page. Workshop papers can be submitted through the submission portal. Papers should be formatted according to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see links to "formatting instructions" below). Formatting Instructions: ----------------------- 8.5" x 11" (DOC, PDF) LaTex Formatting Macros All papers accepted for the workshop will be included in the Conference Proceedings published by the IEEE Computer Society Press. Workshop Program Chairs: ----------------------- Muhammad Nihal Hussain, Ph.D. Postdoc Researcher, COSMOS research lab at University of Arkansas at Little Rock mnhussain at ualr.edu Kiran Kumar Bandeli, Ph.D. Data Scientist, Walmart Inc. KiranKumar.Bandeli at walmart.com Samer Al-khateeb, Ph.D. Assistant Professor, Creighton University SamerAl-Khateeb1 at creighton.edu Nitin Agarwal, Ph.D. Distinguished Professor, COSMOS research lab at University of Arkansas at Little Rock nxagarwal at ualr.edu Web Chair: --------- Thomas Marcoux, Ph.D. Student, COSMOS research lab at University of Arkansas at Little Rock txmarcoux at ualr.edu Very respectfully, Samer Samer Al-khateeb, Ph.D. Assistant Professor of Computer Science & Informatics. Department of Computer Science, Design and Journalism. College of Arts and Sciences. Creighton University. Office: Hitchcock Communication Arts Building, Room 203A Office Tel: (402) 280-5022 Web: sameral-khateeb.github.io -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Thu Aug 13 19:27:52 2020 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 13 Aug 2020 16:27:52 -0700 Subject: Connectionists: NEURAL COMPUTATION - July/August 2020 In-Reply-To: Message-ID: Neural Computation - Volume 32, Number 7 - July 1, 2020 Available online for download now: http://www.mitpressjournals.org/toc/neco/32/7 http://cognet.mit.edu/content/neural-computation ----- View Any Target Function Exists in a Neighborhood of Any Sufficiently Wide Random Network: A Geometrical Perspective Shun-ichi Amari Article Inference of a Mesoscopic Population Model From Population Spike Trains Alexandre Rene, Andre Longtin, and Jakob Macke Letters Stochastic Multi-Channel Ranking With Brain Dynamics Preferences Yuangang Pan, Ivor W. Tsang, Avinash Singh, Chin-teng Lin, and Masashi Sugiyama A Discrete-time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization Xinqi Li, Jun Wang, and Sam Kwong On a Scalable Entropic Breaching of the Overfitting Barrier for Small Data Problems in Machine Learning Illia Horenko Theory and Algorithms for Shapelet-based Multiple-Instance Learning Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai, and Akiko takeda ------------ Neural Computation - Volume 32, Number 8 - August 1, 2020 available online for download now: http://www.mitpressjournals.org/toc/neco/32/8 http://cognet.mit.edu/content/neural-computation ----- Article Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise Pratik Singh Sachdeva, Jesse A Livezey, and Mike DeWeese Letters A Model for the Study of the Increase in Stimulus and Change Point Detection With Small and Variable Spiking Delays Benjamin Straub, Gaby Schneider A Mathematical Analysis of Memory Lifetime in a Simple Network Model of Memory Pascal Helson Shapley Homology: Topological Analysis of Sample Influence ' for Neural Networks Kaixuan Zhang, Qinglong Wang, Xue Liu, and Lee Giles Generation of Scale-invariant Sequential Activity in Linear Recurrent Networks Yue Liu, M.A., Marc W. Howard Minimal Spiking Neuron for Solving Multi-label Classification Tasks Jakub Fil, Dominique Chu ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From marcin at amu.edu.pl Sat Aug 15 16:57:04 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sat, 15 Aug 2020 22:57:04 +0200 Subject: Connectionists: CFP; Information Communication Technology and Society Conference (ICTAS2021); IEEE #50802; Durban, South Africa; March 2021 In-Reply-To: <23d2dc1f-baae-f65d-011b-572dc896a452@ibspan.waw.pl> References: <23d2dc1f-baae-f65d-011b-572dc896a452@ibspan.waw.pl> Message-ID: <15277381-463e-fb38-0514-424e87473c01@amu.edu.pl> Call for Papers Information Communication Technology and Society Conference (ICTAS2021) IEEE #50802 March 10-11, 2021 Durban, South Africa www.ictas.org After four extremely successful ICTAS conferences, we are proud to announce that we will be hosting the conference again next year, 2021. It will be the 5th ICTAS conference. Please feel free to forward this CFP to your colleagues. *** COVID NOTE *** In case of COVID pandemia still being present, hybrid / video-based conference will be realized. ****************** Information Communication Technology (ICT) is becoming more pervasive within societies and our personal lives. Recognizing this increasing role, this conference was conceived to provide a forum for researchers in both academia and industry to share their latest research contributions in the field, while promoting networking of people and ideas. This conference allows attendees to recognize emerging research trends and directions while evaluating present challenges with their proposed solutions. Topics of Interest: We invite submissions of previously unpublished work on the following themes of interest (but not limited to): * ICT4D * Cloud Computing with e-applications * Internet of Things (IoT) * Machine learning and artificial intelligence * E-Learning * Computer networks and engineering * Big data * Cyber-security, including biometrics * Soft computing * Software engineering * Enterprise computing and accounting * Image processing Keynote Speakers: 1) Maria Ganzha, Warsaw University of Technology, Warsaw, Poland 2) Marcin Paprzycki, Polish Academy of Sciences, Warsaw, Poland 3) Marie Schuld, University of Kwazulu-Natal, Durban, South Africa Paper publication: All papers presented at the conference will be submitted to IEEE for inclusion in the IEEE Xplore Digital Library. Those accepted will qualify for DHET subsidy. Important Dates: Final date for paper submission: 10 Oct 2020 Date for notification: 28 Nov 2020 Camera Ready: 5 Feb 2021 Final Date for Registration: 1 Mar 2021 Submission Instructions: Submitted papers should not exceed 6 pages (including reference list) in IEEE format (double- column, 10pt font). Paper review is double-blind; therefore, submitted papers should not include author names and their affiliations. However, the ?Camera Ready? paper must include author names and their affiliations. CONTACT: Prof R C Millham Dr Jeanette Wing +27 31 3735542 RichardM1 at dut.ac.za jwing at dut.ac.za -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From huiyu_kang at fudan.edu.cn Sat Aug 15 00:16:57 2020 From: huiyu_kang at fudan.edu.cn (=?utf-8?Q?huiyu=5Fkang?=) Date: Sat, 15 Aug 2020 12:16:57 +0800 Subject: Connectionists: =?utf-8?b?44CQVFJpQlMgT25saW5lIFRhbGsgMDXjgJFJ?= =?utf-8?q?STBI=2CFudan_University?= In-Reply-To: <07707F4E-D097-422E-93CE-09F675042829@fudan.edu.cn> References: <07707F4E-D097-422E-93CE-09F675042829@fudan.edu.cn> Message-ID: <8376E600-CF68-44C0-BA15-D9BB5D325D53@fudan.edu.cn> An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 1DE067DF-7A34-4371-AD90-86C144AEB063.png Type: image/png Size: 93362 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: 9B5F1FB5-A9B7-4529-BC1C-E563E2A8469C.png Type: image/png Size: 85542 bytes Desc: not available URL: From luzhou at ksu.edu Sun Aug 16 01:04:40 2020 From: luzhou at ksu.edu (Lu Zhou) Date: Sun, 16 Aug 2020 05:04:40 +0000 Subject: Connectionists: CfP Deadline Extension : WOP2020@ISWC2020 Workshop on Ontology and Semantic Web Patterns Message-ID: The deadline for the paper submission is now extended to September 2. The easychair submission link is . Authors of select papers will be also invited to contribute extended versions to a new book to be published by IOS Press. 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 September 2, 2020 4th Call for Papers: Deadline Extension --- 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 a 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 the 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 modeling 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 September 2, 2020 Papers notifications: August 3, 2020 September 30, 2020 Camera-ready submissions: September 2, 2020 TBD 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 luzhou at ksu.edu Sun Aug 16 15:14:08 2020 From: luzhou at ksu.edu (Lu Zhou) Date: Sun, 16 Aug 2020 19:14:08 +0000 Subject: Connectionists: CfP Paper Submission Deadline Extended to September 8 : WOP2020@ISWC2020 Workshop on Ontology and Semantic Web Patterns In-Reply-To: References: Message-ID: The deadline for the paper submission is now extended to September 08. The easychair submission link is . Authors of select papers will be also invited to contribute extended versions to a new book to be published by IOS Press. 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 September 08, 2020 Call for Papers: Deadline Extension --- 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 a 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 the 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 modeling 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 September 08, 2020 Papers notifications: August 3, 2020 September 30, 2020 Camera-ready submissions: September 2, 2020 TBD 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 etsalapati at gmail.com Sun Aug 16 16:54:50 2020 From: etsalapati at gmail.com (Eleni Tsalapati) Date: Sun, 16 Aug 2020 23:54:50 +0300 Subject: Connectionists: AI4LEGAL2020 (revised deadlines) Message-ID: CALL FOR PAPERS ================ International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL2020) In the context of the International Semantic Web Conference 2020 (ISWC 2020) Virtual Event November 2 or 3, 2020 http://ai.di.uoa.gr/#iswc20-workshop Legislation applies to every aspect of people?s living and evolves continuously building a huge network of interlinked legal documents. Therefore, it is important for a government to offer services that make legislation easily accessible to the citizens aiming at informing them, enabling them to defend their rights, or to use legislation as part of their job. It is equally important to have law professionals (lawyers, judges, etc.) access legislation in ways that allow them to do their job easily (e.g., they might need to be able to see the evolution of a law over time). Finally, in the age of the Web, it is important to enable software developers to develop applications for citizens and law professionals easily, by connecting the available laws with other kinds of government or private sector information. Towards this direction, there are already many countries in Europe and elsewhere that have computerized the legislative process by developing platforms for archiving legislation documents and offering on-line access to them using standards such as Akoma Ntoso (aka LegalDocML) which is an OASIS standard, the European standard CEN-MetaLex, the European Legislation Identifier, the European Case Law Identifier etc. There also private companies (e.g., ROSS Intelligence, LexisNexis, RAVEL, LexMachina etc.) that specialize on providing digital services for law, case law, compliance, contracts, etc. The vision of the AI4LEGAL2020 international workshop is to bring together Artificial Intelligence researchers and practitioners to work on the problem of digitization of legislation and legal documents in today?s interconnected world. Topics of Interest =================== Topics of interest include, but are not limited to: -Natural language processing techniques for legal documents -Legal knowledge graphs -Knowledge representation and reasoning techniques for legal documents -Explainable AI for legal documents -Linked data for legal documents -Machine learning techniques for legal documents -Scalable deep learning techniques for legal text analytics -Question answering for legal documents -Chatbots for legal documents -Language resources for digital legal document research and development -National or international initiatives and digital platforms for legislation -Multilingualism -Specific application areas (legislation, judicial decisions, case law, compliance, contracts) Submissions =========== Contributions to the workshop can be made in terms of long or short papers. Long papers should be at most 16 pages including references. Short papers should be of at most 8 pages including references. All contributions should be prepared in PDF format and should be submitted through the workshop submission site. -All papers and abstracts have to be submitted electronically via https://easychair.org/conferences/?conf=ai4legal2020 -All submissions must be in English. -Submissions must be in PDF formatted in the style of the Springer Publications format for Lecture Notes in Computer Science (LNCS). For details on the LNCS style, see Springer?s Author Instructions. -Accepted papers will be published as AI4LEGAL2020 workshop proceedings. At least one author of each accepted paper must register for the workshop to present the paper. -The proceedings of the workshop will be made publicly available before the workshop on the platform http://ceur-ws.org/ Important Dates ****REVISED***** =============== Activities |Due Date -------------------------------------------- Papers due |September 8, 2020 (extended) Notification of acceptance or rejection |September 30, 2020 (extended) Camera ready paper due |October 7, 2020 (extended) All deadlines are midnight Athens time (GMT+2). Workshop Format =============== The workshop will follow the traditional format (invited talks, presentations by paper authors, questions from the audience) but will encourage discussion and identification of open issues by giving enough time for questions after presentations. Venue ====== There is no physical venue. The workshop will be held on-line like the rest of ISWC 2020. Program Chairs =============== Grigoris Antoniou, University of Huddersfield, United Kingdom ( G.Antoniou at hud.ac.uk, https://pure.hud.ac.uk/en/persons/grigoris-antoniou) Guido Governatori, Data 61 CSIRO, Australia ( Guido.Governatori at data61.csiro.au, http://www.governatori.net/research/index.html) Manolis Koubarakis, National and Kapodistrian University of Athens and Leader of Nomothesia project, Greece (koubarak at di.uoa.gr, http://cgi.di.uoa.gr/~koubarak/) Elena Montiel Ponsoda, Universidad Polit?cnica de Madrid, Spain ( emontiel at fi.upm.es, http://mayor2.dia.fi.upm.es/oeg-upm/index.php/en/teachers/52-emontiel/) Eleni Tsalapati, National and Kapodistrian University of Athens, Greece ( etsalapati at lboro.ac.uk) Program Committee ================== Nikolaos Aletras, University of Sheffield, United Kingdom Ion Androutsopoulos, Athens University of Economics and Business, Greece Karim Benyekhlef, Cyberjustice Laboratory, University of Montreal, Canada Ilias Chalkidis, Athens University of Economics and Business and NCSR Demokritos, Greece Jack G. Conrad, Thomson Reuters, United States of America Randy Goebel, University of Alberta and ROSS Intelligence, Canada Martin Kaltenb?ck, Semantic Web Company, Austria George Karvelis, Ministry of Digital Governance and European Public Law Organization, Greece John P. McCrae, Insight Centre for Data Analytics, NUI Galway, Ireland Marc van Opijnen, Publications Office of the Netherlands and European Case Law Identifier expert group, The Netherlands Jeff Z. Pan, The University of Aberdeen, UK V?ctor Rodr?guez-Doncel, Universidad Polit?cnica de Madrid, Spain Pompeu Casanovas Romeu, Autonomous University of Barcelona, Spain, and La Trobe University, Australia Ken Satoh, National Institute of Informatics and Sokendai, Japan Clara Smith, Universidad Nacional de La Plata, Argentina Martin Theobald, University of Luxembourg, Luxembourg Leon van de Torre, University of Luxembourg, Luxembourg John Zeleznikow, Victoria University, Australia -------------- next part -------------- An HTML attachment was scrubbed... URL: From lmelloni at gmail.com Mon Aug 17 03:47:22 2020 From: lmelloni at gmail.com (Lucia Melloni) Date: Mon, 17 Aug 2020 09:47:22 +0200 Subject: Connectionists: Special issue: Consciousness Science and Its Theories Message-ID: <30D75D8C-B63A-4349-817B-1F5A63CBE0F2@gmail.com> Dear Colleagues We cordially invite you to submit a manuscript to the special issue for Neuroscience of Consciousness entitled: Consciousness Science and Its Theories to be published in Neuroscience of Consciousness. This special issue aims at taking stock of the progress made in consciousness research and discuss future directions. More details can be found here: https://academic.oup.com/nc/pages/call-for-papers . The submission deadline is 30 September 2020. Looking forward to your submissions! Best wishes, Lucia Special Issue guest-editors: Thomas Andrillon Lucia Melloni Andrew Haun Claire Sergent Jakob Hohwy Confirmed contributors: Stanislas Dehaene Catherine Tallon-Baudry Biyu Jade He Rafael Malach Athena Dermertzi Axel Cleeremans Submission process All submissions will be processed through the submission site of Neuroscience of Consciousness, and will be reviewed as usual. Pre-submission inquiries should be sent to the editors at nconsc.sitheories at gmail.com . Deadlines and publication schedule - September 30, 2020: deadline for abstract (presubmission enquiry, response in two weeks) - December 15, 2020: submission of manuscript - February 1, 2020: First round of peer-review finalised Open Access Neuroscience of Consciousness is a fully Open Access journal published by Oxford University Press. The Open Access fee for contributions is US$1848/?1155/?1502 (plus VAT or other taxes applicable in your country). Reduced Rate Developing country charge* - ?578 / $924 / ?751.Free Developing country charge* - ?0 /$0 / ?0. Members of the Association for the Scientific Study of Consciousness will receive a 20% discount for open access charges, therefore the open access fee for members is ?924/$1478/?1201. Members of the editorial board enjoy one free submission. -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Mon Aug 17 09:37:19 2020 From: interdonatos at gmail.com (Roberto Interdonato) Date: Mon, 17 Aug 2020 15:37:19 +0200 Subject: Connectionists: CfP - Soc2Net: 2nd International workshop on Modeling and mining Social-Media-driven Complex Networks @ ASONAM 2020 Message-ID: Soc2Net: 2nd International workshop on Modeling and Mining Social-Media-driven Complex Networks @ ASONAM 2020 Virtual Event: Due to the uncertainty about sanitary measures and travel restrictions, Soc2Net 2020 is planned fully online as a virtual event. http://events.dimes.unical.it/soc2net KEY DATES ---------------- Paper submission deadline: September 28, 2020 Acceptance notification: October 23, 2020 ____________________________ CONTEXT The growing availability of multi-faceted social media data gives rise to unprecedented opportunities for unveiling complex real-world online behaviors. This also supports the proliferation of complex network models where the expressive power of the graph-based relational structure is enhanced through exposing several types of features that are peculiar of the social media platforms. This workshop aims to explore innovative methods that are designed to improve our understanding of behaviors and relations underlying feature-rich networks built upon social media, here called social-media-driven complex networks. Exemplary network models of such kind include heterogeneous, multilayer/multiplex/multirelational networks, temporal, location-aware, and probabilistic networks, and any other type of data-driven network that can be inferred from social media data contexts. The aim of the Soc2Net workshop, that will be held as a virtual event in conjunction with The 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2020), is to bring together researchers and practitioners from around the world interested in 1) exploring different perspectives and approaches to mine social-media-driven complex networks, 2) analyzing user behavior and evolution in social-media-driven complex networks, and 3) building models and frameworks for evaluating the respective approaches. Authors are encouraged to evaluate their models, methods, metrics and algorithms on real-world social networks built upon publicly available datasets. We solicit interdisciplinary submissions focusing on topics of interest to different research communities, including social science, economics and digital humanities. TOPICS - Foundations of Learning and Mining in social-media-driven complex networks - Centrality and Ranking in social-media-driven complex networks - Community Detection in social-media-driven complex networks - Link Prediction in social-media-driven complex networks - Simplification/pruning/sampling of social-media-driven complex networks - User Behavior Modeling in social-media-driven complex networks - Influence propagation in social-media-driven complex networks - Reputation and Trust computing in social-media-driven complex networks - Embedding and Deep Learning in social-media-driven complex networks - Probabilistic and Uncertain social-media-driven complex networks - Time-evolving social-media-driven complex networks - Hypergraph-based modeling, analysis and learning problems - Cross-Domain problems in social-media-driven complex networks - Visualization of social-media-driven complex networks - Personalization and Recommendation in social-media-driven complex networks - Mobility in social-media-driven complex networks - Vertex similarity in multiplex and social-media-driven complex networks - Multiplex and social-media-driven complex networks evolution models - Multiplex network and dynamic network mining - Ensemble learning for social-media-driven complex networks mining - Pattern mining in social-media-driven complex networks SUBMISSION We welcome original contributions, including papers discussing ongoing research projects. Contributions can be of two types: either short position papers (2 to 3 pages including references) or full research papers (6 to 8 pages including references). Papers must follow the IEEE two-column template, in compliance to the main conference. Accepted contributions will be made available electronically through the CEUR Workshop Proceedings platform (http://ceur-ws.org). Authors of selected contributions will be invited to submit an extended version of their accepted paper (either type) to the Frontiers in Big Data journal (https://www.frontiersin.org/journals/big-data). SUBMISSION WEBSITE: https://easychair.org/conferences/?conf=soc2net KEY DATES Paper submission deadline: September 28, 2020 Acceptance notification: October 23, 2020 Final manuscripts due: October 30, 2020 PC-CHAIRS Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato at cirad.fr Sabrina Gaito, Universit? degli Studi di Milano, Italy, gaito at di.unimi.it Alessandra Sala, Nokia Bell Labs, Dublin, Ireland, alessandra.sala at nokia-bell-labs.com Andrea Tagarelli, University of Calabria, Italy, andrea.tagarelli at unical.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue Aug 18 01:54:33 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 18 Aug 2020 07:54:33 +0200 Subject: Connectionists: COMPLEX NETWORKS 2020: SUBMISSION DEADLINE APPROACHING 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 maass at igi.tugraz.at Tue Aug 18 08:22:43 2020 From: maass at igi.tugraz.at (Wolfgang Maass) Date: Tue, 18 Aug 2020 14:22:43 +0200 Subject: Connectionists: Phd/Postdoc position for research on interpretable Deep Learning and brain modelling Message-ID: We are looking for a highly talented and motivated Phd student or Postdoc to complement our team in the Faculty for Computer Science and Biomedical Engineering of Graz University of Technology in Austria. The researcher will work on advancing Deep Learning and methods for understanding its outcomes ("interpretable AI") for applications to large data-based cortical microcircuit models, using state-of-the-art supercomputing facilities. The goals are to elucidate the organization of computing and learning in neural networks of the brain, and to develop on this basis spike-based AI methods. The research will be based on recently developed algorithms and TensorFlow software for spiking neural networks, as published for example in G. Bellec, D. Salaj, A. Subramoney, R. Legenstein, and W. Maass. Long short-term memory and learning-to-learn in networks of spiking neurons. 32nd Conference on Neural Information Processing Systems (NIPS 2018), https://igi-web.tugraz.at/PDF/243.pdf G. Bellec, F. Scherr, A. Subramoney, E. Hajek, D. Salaj, R. Legenstein, and W. Maass. A solution to the learning dilemma for recurrent networks of spiking neurons. Nature Communications, 2020. .https://www.nature.com/articles/s41467-020-17236-y.pdf F. Scherr, C. Stoeckl, and W. Maass. One-shot learning with spiking neural networks. bioRxiv, 2020. https://igi-web.tugraz.at/PDF/256.pdf This is a fully funded research position in the Human Brain Project of the EU, which offers an exciting international interdisciplinary research environment. Requirements: --strong mathematical background and analytical skills --deep interest in understanding the function of neural networks in the brain --excellent programming skills --very good knowledge in Machine Learning Please send your CV, grades, motivation letter, and links to pdf of your master thesis and other relevant preceding work to charlotte.rumpf at tugraz.at -- Prof. Dr. Wolfgang Maass Institut fuer Grundlagen der Informationsverarbeitung Technische Universitaet Graz http://www.igi.tugraz.at/maass/Welcome.html From alekhyamandali at gmail.com Tue Aug 18 17:59:06 2020 From: alekhyamandali at gmail.com (alekhya mandali) Date: Tue, 18 Aug 2020 22:59:06 +0100 Subject: Connectionists: Call for submissions to frontier research topic Message-ID: Dear Connectionists We invite contributions to the Frontier's Research topic - ' Exploring Psychopathology: Utility, Action-Selection and Beyond' ABSTRACT ---------------------------------------------------------------------------------------------------------- A huge body of work on understanding each of many psychiatric conditions in the context of behaviors, neural correlates, and intervention is available and still on-going. One area of research that is rapidly gaining ground is that of impaired decision making in psychiatric disorders such as anxiety, OCD, schizophrenia, etc. The role of more abstract constructs such as emotion, effort, and motivation in utility or value computation and action selection or policymaking is still quite nascent. This Research Topic attempts to bring together research projects that address this need. We welcome theoretical and experimental studies that apply ?reward or utility maximization and action-selection? framework to psychiatric conditions such as impulsive (e.g. gambling, addiction), mood and anxiety, and compulsive disorders. Novel approaches that expand this framework and incorporate constructs such as emotion, effort, and motivation are of special focus. The call is open but not restricted to: ? Novel experimental studies/paradigms that investigate effort, motivation, mood, and anxiety in a reward-utility framework in health and disease such as OCD, depression, anxiety, and mood disorders. ? Computational models that utilize either data-driven, simulation-based approaches, and reinforcement learning models where the abstract factors such as effort, motivation, mood, and anxiety are represented in terms of value or utility. ? Research that focuses on studying the causal relationship between decision making and effort, motivation, mood, and anxiety ? Translation research such as pharmacological interventions where insights gained could potentially help design novel treatment/ diagnostic methods. SUBMISSION DATES ---------------------------------------------------------------------------------------------------------- Abstract deadline: 30th September 2020 Manuscript deadline: 01 Jan 2021 DETAILS ---------------------------------------------------------------------------------------------------------- https://www.frontiersin.org/research-topics/15163/exploring-psychopathology-utility-action-selection-and-beyond -- https://sites.google.com/view/alekhyamandali/home -------------- next part -------------- An HTML attachment was scrubbed... URL: From mgalle at gmail.com Wed Aug 19 04:00:37 2020 From: mgalle at gmail.com (=?UTF-8?Q?Matthias_Gall=C3=A9?=) Date: Wed, 19 Aug 2020 10:00:37 +0200 Subject: Connectionists: Final call for application: Advanced Language Processing School (ALPS) - January, 17-22 2021 Message-ID: Advanced Language Processing School (ALPS) January, 17-22 2021 Autrans (Grenoble area) - France We are about to close the application process for the first Advanced Language Processing School (ALPS) in Grenoble, co-organized by University Grenoble Alpes and Naver Labs Europe. *Target Audience* This is a winter school covering advanced topics in NLP, and we are primarily targeting doctoral students and advanced (research) masters. A few slots will also be reserved for academics and persons working in research-heavy positions in industry. *Characteristics* This winter school aims to provide talks of renowned NLP researchers, as well as creating an ideal environment to foster collaborations The speakers are: - Isabelle Augenstein: _Interpretability and Explainability for NLP_ - Tim Baldwin: _Natural Language Processing for User Generated Content_ - Kyunghyun Cho: _Neural Sequence Modeling: Learning and Inference_ - Yejin Choi: _Neural Commonsense Knowledge and Reasoning_ - Grzegorz Chrupa?a: _Visually Grounded Models of Spoken Language and their Analysis_ - Claire Gardent: _Neural approaches to Natural Language Generation_ - Sanjeev Khudanpur: _Recent Advances in Automatic Speech Recognition (TBC)_ In addition to the talks, an important aspect of this school is the interaction between participants. The registration fee covers full board in a residence close to a ski resort, and some of the afternoons we will organise social activities. In view of the current public health situation, we are preparing to hold the event virtually in case it will not be possible to do so physically in January. Registration fees will be adapted in that case. *In any case, if you would like to participate you should apply before the* deadline of Sept 6th*.* *Application* To apply to this winter school, please follow the instructions at http:// alps.imag.fr/index.php/application/ . We will notify acceptance early October. *Contact* Website: http://alps.imag.fr/ Contact: alps2021 at univ-grenoble-alpes.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonas.n.myhre at uit.no Wed Aug 19 03:59:28 2020 From: jonas.n.myhre at uit.no (Jonas Nordhaug Myhre) Date: Wed, 19 Aug 2020 07:59:28 +0000 Subject: Connectionists: =?utf-8?q?Call_for_Contributions=3A_4th_Northern_?= =?utf-8?q?Lights_Deep_Learning_Workshop=2C_19-20_January_2021=2C_Troms?= =?utf-8?b?w7ggKCJOb3J0aCBQb2xlIiksIE5vcndheQ==?= Message-ID: Following the "tradition", we are organizing the 4th Northern Lights Deep Learning Workshop on 19-20 January 2021. Like the past years, it will be an informal workshop on deep learning theory and applications in Troms?, Norway*. Please see http://www.nldl.org for more information. We are happy to have top international keynote speakers, including * Lars Kai Hansen, Department of Applied Mathematics and Computer Science ? DTU Compute * Laura Leal-Taixe, Dynamic Vision and Learning Group - The Technical University of M?nich. * Arthur Gretton, Centre for Computational Statistics and Machine Learning (CSML) at University College London. * Elsa D. Angelini, Imperial Biomedical Research Centre - National Institute of Healthcare Research (UK). * Roland Vollgraf, Zalando Research This year, we are accepting two alternatives for contributions: (1) Full paper submissions (6 pages) will be presented either as orals or as posters and made published in the conference proceedings after the workshop; (2) Extended abstracts (2 pages) will be presented either as orals or as posters (but not published in the conference proceedings). Deadline for both types of submissions: 9th November 2021. Instructions on template etc. can be found on http://www.nldl.org. Further, we will be holding a mini deep learning school on January 18th for all participants. More info will be made available on https://www.nldl.org/program. We hope to see many participants for a nice scientific gathering on the "north pole", including social events, and hopefully some northern lights ? * If traveling to Troms? is not possible due to the COVID-19 situation, the workshop will be held virtually. Kind regards, The NLDL 2021 Organizing committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Tue Aug 18 14:49:27 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Tue, 18 Aug 2020 20:49:27 +0200 Subject: Connectionists: SDM 2021 call for participation Message-ID: An HTML attachment was scrubbed... URL: From Pavis at iit.it Wed Aug 19 09:17:01 2020 From: Pavis at iit.it (Pavis) Date: Wed, 19 Aug 2020 13:17:01 +0000 Subject: Connectionists: PostDoc position on deep learning for online 3D scene understanding from images - MEMEX H2020 EU project In-Reply-To: References: Message-ID: The Pattern Analysis and Computer Vision (PAVIS) research line at IIT (Istituto Italiano di Tecnologia) invites qualified applicants to submit their CV?s for a Postdoc position in Genoa, Italy, under the supervision of Dr. Alessio Del Bue. PAVIS research line is actively developing an Artificial Intelligence (AI) infrastructure to understand our physical space and the human behaviors within it. The focus of the group is on creating intelligent systems that jointly accomplish two main goals: - Spatial AI: Perceive and understand autonomously the real physical world, both static and dynamic, with its corresponding spatial semantic (where are things, what is their function, which is the dynamic of the scene). - Social AI: Perceive and understand humans and their behaviors as observed by cameras in relation to the physical spaces they are interacting with. This open position, up to two years, is financed in the context of the H2020 European Project MEMEX (MEMories and EXperiences for inclusive digital storytelling ? Grant Agreement 870743 -https://www.memexproject.eu) ? an interdisciplinary effort to provide Augmented Reality (AR) systems to impact the European society at large. The candidate will have the opportunity to work on realistic problems involving leading European research centers and companies with the aim to create a novel AR platform able to understand the semantic scene structure of the environment using an RGB video stream from a smartphone. The research topics on 3D scene understanding are related to the recent PAVIS achievements on Spatial AI related to 3D semantic mapping, object 3D localization, graph neural networks (GNNs) for scene modelling and active visual reasoning by integrating deep learning models with multi-view geometry approaches. Such methods will leverage massive worldwide geolocalised data as provided by project partners to finally deploy a mobile app that understands, localizes and reason about the semantic elements present in a generic scene. A relevant scientific track record on major computer vision conferences/journals (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is a criteria for the selection as well as experience on DNN models and in particular related to GNN. Experience on multi-view geometry is considered a plus for this position. At the time of the application, eligible candidates should have a Ph.D. degree in Computer Vision, Machine Learning, Robotics or related fields. The successful candidate will be offered a competitive salary commensurate to qualifications and experience. Please submit your application using the online form available at this link: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2000002K Remember to include a detailed curriculum vitae with publication list brief description of research interests and main accomplishments and names and contacts of 2 referees. The call will remain open until the position is filled but a first deadline for evaluation of candidates will be September 30, 2020. The position will be approved pending signature of the grant agreement by the European Commission. Fondazione Istituto Italiano di Tecnologia - IIT - was founded with the objective of promoting Italy?s technological development and further education in science and technology. In this sense, IIT is committed to achieving its scientific program, which sees a major inspirational principle in the integration between basic scientific research and the development of technical applications. Research activities at IIT cover areas of high innovative content, representing the most advanced frontiers of modern technology with wide application possibilities in various fields from medicine to industry, from computer science to robotics, life sciences and nanobiotechnology. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. Please note that the data that you provide will be used exclusively for the purpose of professional profiles? evaluation and selection, and in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo[at]iit.it). -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Wed Aug 19 09:22:47 2020 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Wed, 19 Aug 2020 15:22:47 +0200 Subject: Connectionists: Job opening: computational linguist Message-ID: <5F3D27A7020000AE002FCDE3@v-pgw-nlx2.p.nwu.ac.za> COMPUTATIONAL LINGUIST P002385 Introduction NORTH-WEST UNIVERSITY (POTCHEFSTROOM CAMPUS) FACULTY OF HUMANITIES SCHOOL OF LANGUAGES / (CTexT) POSITION NUMBER: P002385 PEROMNES: 10 VACANCY: COMPUTATIONAL LINGUIST FIXED TERM POSITION Purpose of the position: To assist in the research and development of computer software products, and to develop resources relevant to human language technology Description Responsibilities: Design, development and implementation of computer software Resource development relevant to human language technology Conduct research in the field of computational linguistics and natural language processing ENQUIRIES: Jason Neumann, 018 299 1022 or Moratuwa Motsemme 018 388 4958 CLOSING DATE: 04 September 2020 COMMENCEMENT OF DUTIES: 1 November 2020, or as soon as possible TO APPLY: https://www.pnet.co.za/jobs--COMPUTATIONAL-LINGUIST-P002385-Potchefstroom-North-West-University--3167239-inline.html NWU CORONA VIRUS: http://www.nwu.ac.za/coronavirus/ Vrywaringsklousule / Disclaimer: http://www.nwu.ac.za/it/gov-man/disclaimer.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Wed Aug 19 09:20:38 2020 From: Pavis at iit.it (Pavis) Date: Wed, 19 Aug 2020 13:20:38 +0000 Subject: Connectionists: =?windows-1252?q?Position_for_Computer_Vision_Eng?= =?windows-1252?q?ineer_at_IIT_Genova_=96_MEMEX_H2020_EU_project_=5BJobs?= =?windows-1252?q?=5D?= In-Reply-To: <1baee9a9cc2f4ce2bb6c4b2366110d72@iit.it> References: <1baee9a9cc2f4ce2bb6c4b2366110d72@iit.it> Message-ID: The Pattern Analysis and Computer Vision (PAVIS) research line at IIT (Istituto Italiano di Tecnologia) invites qualified applicants to submit their CV?s for a Computer Vision Engineer position in Genoa, Italy, under the supervision of Dr. Alessio Del Bue. PAVIS research line is actively developing an artificial intelligence (AI) infrastructure to understand our physical space and the human behaviors within it. The focus of the group is on creating intelligent systems that jointly accomplish two main goals: - Spatial AI: Perceive and understand autonomously the real physical world, both static and dynamic, with its corresponding spatial semantic (where are things, what is their function, which is the dynamic of the scene). - Social AI: Perceive and understand humans and their behaviors as observed by cameras in relation to the physical spaces they are interacting with. This open position, up to two years, is financed in the context of the H2020 European Project MEMEX (MEMories and EXperiences for inclusive digital storytelling ? Grant Agreement 870743 - https://www.memexproject.eu) ? an interdisciplinary effort to provide Augmented Reality (AR) systems to impact the European society at large. The candidate will have the opportunity to work on realistic problems involving leading European research centers and companies with the aim to create a novel AR platform able to understand the semantic scene structure of the environment using an RGB video stream from a smartphone. The skills requested for the position are the following: - Bachelor/Master degree on Computer Vision, Machine Learning, Robotics or related Engineering fields; - 2 years relevant experience on implementing and deploying Computer Vision and Deep Learning algorithms; - Experience on AWS (preferred), or other relevant cloud services; - Strong proficiency in programming languages, in particular Python, C++ and Java/Javascript; - Good knowledge of English language. While preferable skills related to the project activities are: - Managing of HPC infrastructures for Machine Learning and Computer Vision methods deployment; - Experience on Deep Learning models training and ML dataset management A relevant scientific track record on major computer vision conferences/journals (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is a criteria for the selection as well as experience on DNN models and in particular related to GNN. Experience on multi-view geometry is considered a plus for this position. The successful candidate will be offered a competitive salary commensurate to qualifications and experience. Please submit your application using the online form https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2000002M including a detailed curriculum vitae with publication list brief description of research interests and main accomplishments and names and contacts of 2 referees. The call will remain open until the position is filled but a first deadline for evaluation of candidates will be September 30, 2020. The position will be approved pending signature of the grant agreement by the European Commission. Fondazione Istituto Italiano di Tecnologia - IIT - was founded with the objective of promoting Italy?s technological development and further education in science and technology. In this sense, IIT is committed to achieving its scientific program, which sees a major inspirational principle in the integration between basic scientific research and the development of technical applications. Research activities at IIT cover areas of high innovative content, representing the most advanced frontiers of modern technology with wide application possibilities in various fields from medicine to industry, from computer science to robotics, life sciences and nanobiotechnology. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. Please note that the data that you provide will be used exclusively for the purpose of professional profiles? evaluation and selection, and in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo[at]iit.it). -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Wed Aug 19 21:14:04 2020 From: junfeng989 at gmail.com (Jun Feng) Date: Thu, 20 Aug 2020 09:14:04 +0800 Subject: Connectionists: [*14+ Special Issues*] CFP IEEE DependSys 2020: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications [Submission Deadline: Sep. 1] 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: From wittawatj at gmail.com Thu Aug 20 07:02:52 2020 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Thu, 20 Aug 2020 13:02:52 +0200 Subject: Connectionists: AISTATS 2021 Call for Papers Message-ID: Dear all, (Posting on behalf of the AISTATS 2021 organizing committee) We invite submissions to the 2021 International Conference on Artificial Intelligence and Statistics (AISTATS), and welcome paper submissions on artificial intelligence, machine learning, statistics, and related areas. ar Key dates The tentative dates are as follow: - Abstract submission: October 8, 2020, 08:00 AM PDT - Paper submission date: October 15, 2020, 08:00 AM PDT - Reviews released: November 23, 2020 - Author rebuttals due: November 28, 2020 - Final decisions: January 08, 2021 - Conference dates: April 13-15, 2021 Summary AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them. We encourage the submission of all papers which are in keeping with this objective at AISTATS. Current website: https://www.aistats.org/aistats2021/ Paper Submission: Proceedings track: This is the standard AISTATS paper submission track. Papers will be selected via a rigorous double-blind peer-review process. All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the Proceedings. Solicited topics include, but are not limited to: - Models and estimation: graphical models, causality, Gaussian processes, approximate inference, kernel methods, nonparametric models, statistical and computational learning theory, manifolds and embedding, sparsity and compressed sensing, ... - Classification, regression, density estimation, unsupervised and semi-supervised learning, clustering, topic models, ... - Structured prediction, relational learning, logic and probability - Reinforcement learning, planning, control - Game theory, no-regret learning, multi-agent systems - Algorithms and architectures for high-performance computation in AI and statistics - Software for and applications of AI and statistics - Deep learning including optimization, generalization and architectures - Trustworthy learning, including learning with privacy and fairness, interpretability, and robustness Formatting and Supplementary Material Submissions are limited to 8 pages excluding references using the LaTeX style file we provide. The number of pages containing citations alone is not limited. You can also submit a single file of additional supplementary material which may be either a pdf file (such as proof details) or a zip file for other formats/more files (such as code or videos). Note that reviewers are under no obligation to examine your supplementary material. If you have only one supplementary pdf file, please upload it as is; otherwise gather everything to the single zip file. Submissions will be through CMT ( https://cmt3.research.microsoft.com/AISTATS2021) and *will be open a month* before the abstract submission deadline. Formatting information (including LaTeX style files) *will be made available**.* We do not support submission in preparation systems other than LaTeX. Please do not modify the layout given by the style file. If you have questions about the style file or its usage, please contact the publications chair. Anonymization Requirements The AISTATS review process is double-blind. Please remove all identifying information from your submission, including author names, affiliations, and any acknowledgments. Self-citations can present a special problem: we recommend leaving in a moderate number of self-citations for published or otherwise well-known work. For unpublished or less-well-known work, or for large numbers of self-citations, it is up to the author's discretion how best to preserve anonymity. Possibilities include leaving out a citation altogether, including it but replacing the citation text with "removed for anonymous submission," or leaving the citation as-is; authors should choose for each citation the treatment which is least likely to reveal authorship. Previous tech-report or workshop versions of a paper can similarly present a problem for anonymization. We suggest leaving out any identifying information for such versions, but bringing them to the attention of the program committee via the submission page. Reviewers will be instructed that tech reports (including reports on sites such as arXiv ) and papers in workshops without archival proceedings do not count as prior publication. Previous or Concurrent Submissions Submitted manuscripts should not have been previously published in a journal or in the proceedings of a conference, and should not be under consideration for publication at another conference at any point during the AISTATS review process. It is acceptable to have a substantially extended version of the submitted paper under consideration simultaneously for journal publication, so long as the journal version's planned publication date is in *May 2021* or later, the journal submission does not interfere with AISTATS's right to publish the paper, and the situation is clearly described at the time of AISTATS submission. Please describe the situation in the appropriate box on the submission page (and do not include author information in the submission itself, to avoid accidental unblinding). As mentioned above, reviewers will be instructed that tech reports (including reports on sites such as arXiv) and papers in workshops without archival proceedings do not count as prior publication. All accepted papers will be presented at the Conference either as contributed talks or as posters, and will be published in the AISTATS Conference Proceedings in the Journal of Machine Learning Research Workshop and Conference Proceedings series. Papers for talks and posters will be treated equally in publication. Please contact us with any questions at aistats2021pc at gmail.com. Arindam Banerjee and Kenji Fukumizu AISTATS 2021 Program Chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From bariscancam at gmail.com Thu Aug 20 06:34:54 2020 From: bariscancam at gmail.com (Baris Can Cam) Date: Thu, 20 Aug 2020 13:34:54 +0300 Subject: Connectionists: Call for Participation-ECCV2020 Workshop on Imbalance Problems in Computer Vision (IPCV) Message-ID: We cordially invite those interested to our ECCV2020 workshop on Imbalance Problems in Computer Vision (IPCV) to be held online on 28 August 2020. IPCV aims to bring together researchers tackling imbalance problems in computer vision tasks. IPCV will be formed of four invited talks and seven paper presentations. Following the ECCV guidelines, all presentations will be available as pre-recorded videos and there will be two live sessions. The workshop will be hosted at the conference?s virtual platform at the following address: https://workshopsandtutorials.eccv2020.eu/papers/subject/imbalance-problems-in-computer-vision/ **Invited Speakers** Bernt Schiele Max Planck Director at the Max Planck Institute for Informatics; Professor at Saarland University Ming-Hsuan Yang Professor at the University of California Merced; Research Scientist at Google Vittorio Ferrari Research Scientist at Google; Honorary Professor at the University of Edinburgh Tengyu Ma Professor of Computer Science and Statistics at the Stanford University Kelam Oksuz Middle East Technical University **Contributed Papers** ?A Machine Learning Approach to Assess Student Group Collaboration Using Individual Level Behavioral Cues? by Anirudh Som, Sujeong Kim, Bladimir Lopez-Prado, Svati Dhamija, Nonye Alozie, Amir Tamrakar ?Remix: Rebalanced Mixup? by Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan ?Generalized Many-Way Few-Shot Video Classification? by Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani ?GAN-Based Anomaly Detection in Imbalance Problems? by Junbong Kim, kwanghee Jeong, Hyomin Choi, Kisung Seo ?Active Class Incremental Learning for Imbalanced Datasets? by Eden Belouadah, Adrian Popescu, Umang Aggarwal, L?o Saci ?Knowledge Distillation for Multi-task Learning? by Wei-Hong Li, Hakan Bilen ?Mitigating Dataset Imbalance via Joint Generation and Classification? by Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogerio Feris, Abir Das **Participation Details** Participation to our workshop requires registration at https://eccv2020.eu/ The pre-recorded videos and session recordings will be made available openly after the conference. **Program** Pre-recorded Session: 10 min: Welcome & introduction to the workshop 45 min: Invited Talk by Bernt Schiele 45 min: "Imbalance Problems in Object Detection", Kemal Oksuz 45 min: Invited Talk by Ming-Hsuan Yang 70 min: Paper Presentations (10 min for each paper) 45 min: Invited Talk by Vittorio Ferrari 45 min: Invited Talk by Tengyu Ma Two Live Sessions (in UTC+1 timezone): Session 1 (10:00-12:00am) Session 2 (18:00-20:00) Please check our webpage for up-to-date program: https://sites.google.com/view/ipcv2020/program IPCV Organizing Committee 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From vassilisvas at gmail.com Thu Aug 20 08:36:36 2020 From: vassilisvas at gmail.com (Vassilis Vassiliades) Date: Thu, 20 Aug 2020 15:36:36 +0300 Subject: Connectionists: [jobs] PhD Fellowships at RISE Cyprus / Deadline: 18 September 2020 Message-ID: Dear colleagues, We are accepting applications for doctoral student fellowships at the Research Centre on Interactive Media, Smart Systems, and Emerging Technologies (RISE), located in sunny Nicosia, Cyprus. RISE?s Doctoral Training Program (DTP) aims to provide the best possible experience of impactful collaboration, following best practices from across Europe. RISE?s DTP is a far more valuable and engaging experience compared to working only with an individual supervisor or a small group in a University. The RISE DTP experience provides a collaborative cohort environment, in addition to offering a wide range of projects, research and innovation activities and training opportunities fostering knowledge transfer and student engagement with the wider community and the partner institutions. For more information regarding applications and thematic areas please visit: https://www.rise.org.cy/en-gb/vacancies/job-listings/research-department/phd-fellowships-rise-doctoral-training-program-1/ Please help us spread the word to any interested students. Regards, Vassilis Vassiliades -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.soto at cs.uns.edu.ar Fri Aug 21 08:16:34 2020 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Fri, 21 Aug 2020 09:16:34 -0300 Subject: Connectionists: ACM IUI 2021: Call for workshop proposals Message-ID: ACM IUI 2021 2nd 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 xavier.hinaut at inria.fr Thu Aug 20 20:30:29 2020 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Fri, 21 Aug 2020 02:30:29 +0200 Subject: Connectionists: SMILES virtual workshop @ICDL 2020 In-Reply-To: <3C8BDD1D-CB33-4D46-977D-AFFC91779A28@inria.fr> References: <5d4afc96011b44fd8d6a6a19c51cba5a@ac3e.cl> <733A2658-E810-4264-B479-F728088E63BB@inria.fr> <2794045E-DC0D-4349-8002-2780809CCF23@gmail.com> <18F7C3A3-5E45-4668-893D-4875C15A3531@inria.fr> <3C8BDD1D-CB33-4D46-977D-AFFC91779A28@inria.fr> Message-ID: <090EF4B3-8B59-4A20-8BD8-6148DC3B205C@inria.fr> The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place virtually at the ICDL 2020 (International Conference on Developmental Learning). * Call for abstracts and papers: - Deadline: 25th of September 2020 - papers abstracts: 2 pages - long papers: 4-6 pages - Submissions: smiles.conf at gmail.com - Papers format: same as ICDL conference https://cis.ieee.org/publications/t-cognitive-and-developmental-systems/tcds-information-for-authors - Workshop dates (coming soon): the days before or after the ICDL conference (26-30 October 2020) * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through -an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Sensori-motor learning, - Symbol grounding and symbol emergence, - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf at gmail.com - organizers: Xavier Hinaut, Clement Moulin-Frier, Silvia Pagliarini, Joni Zhong, Loo CHU KIONG, Michael Spranger, Tadahiro Taniguchi - invited speakers (coming soon) - workshop website (comming soon): https://sites.google.com/view/smiles-workshop/ - ICDL conference website: https://cdstc.gitlab.io/icdl-2020/ * Workshop Long Description Recently Deep Learning networks have broken many benchmarks in Natural Language Processing (NLP), e.g. [1]. Such breakthroughs are realized by a few mechanisms (e.g. continuous representations like word embedding, attention mechanism, ...). However, no equivalent finding happened towards the understanding of which mechanisms enable the brain to perform similar functions. Deep Learning does not reproduce learning mechanisms nor the dynamics of the brain. The brain needs to parse incoming stimuli and learn from them incrementally, it cannot unfold time like deep learning algorithms such as Back-propagation through time (BPTT). Thus, we still lack the key neuronal mechanisms needed to properly model the (hierarchies of) functions in language perception and production. Other models of language processing reproducing the behavior of brain dynamics (Event-Related-Potentials (ERPs) [2] or functional Magnetic Resonance Imaging (fMRI) [3]) have been developed. However, such model softens lack explanatory power demonstrating the causes of such observed dynamics: i.e. what is computed and why is it computed ? for which purpose? We need more biologically plausible learning mechanisms while producing causal explanations of the experimental data modelled. There is converging evidence that language production and comprehension are not separated processes in a modular mind, they are rather interwoven, and this interweaving is what enables people to predict themselves and each other [4].Interweaving of action and perception is important because it allows a learning agent (or a baby) to learn from its own actions: for instance, by learning the perceptual consequences(e.g. the heard sounds) of its own actions (e.g. vocal productions) during babbling [5]. Thus, the agent learns in a self-supervised way instead of relying only on supervised learning, which in contrast, imply non-biological teacher signals cleverly designed by the modeler. Explicit neuronal models explaining which are the mechanisms shaping these perceptuo-motor units through development are missing. The existence of sensorimotor (i.e. mirror) neurons at abstract representation levels (often called action-perception circuits [6]), jointly with the perceptuo-motor shaping of sensorimotor gestures [5], suggest the existence of similar action-perception mechanisms implemented at different levels of hierarchy. How could we go towards such hierarchical architectures based on action-perception mechanisms? Importantly, a language processing model needs a way to acquire the semantics of the (symbolic) perceptuo-motor gestures and of the more abstract representations, otherwise it would consider only morphosyntactic and prosodic featuresof language. These symbolic gestures, i.e. signs, need to be grounded to the mental concept, i.e. signified, they are representing. Several theories and robotic experiments give examples of how symbols could be grounded or how symbols could emerge [7]. However, current neurocomputational models aiming to explain brain processes are not grounded. Robotics have an important role here for the grounding of semantics by experiencing the world through interactions with the physical world and with humans. We need mechanisms that start from raw sensory perception and raw motor commands in order to let emerge plausible representations through development, instead of arbitrary representations. Finally, computational models of emergent communication in agent populations are currently gaining interest in the machine learning community [8], [9]. These contributions show how a communication system can emerge to solve cooperative tasks in sequential environments. However, they are still relatively disconnected from the earlier theoretical and computational literature aiming at understanding how language might have emerged from a prelinguistic substance [10], [11]. We need to conceive communication as the emergent result of a collective behavior optimization process and to ground the resulting computational models into the theoretical literature from language evolution research. The SMILES workshop will aim at discussing each of the questions mentioned above, together with original approaches on how to integrate them. [1] J. Devlin et al., 2018. [2] H. Brouwer and J. C. J. Hoeks, 2013. [3] M. Garagnani et al. 2008. [4] M. J. Pickering and S. Garrod, 2013. [5] J.-L. Schwartz et al., 2012. [6] F. Pulverm?ller and L. Fadiga, 2010. [7] T. Taniguchi et al., 2016. [8] S. Sukhbaatar et al.,2016. [9] I. Mordatch and P. Abbeel, 2017. [10] M. Tomasello et al., 2005. [11] P.-Y. Oudeyer and L. Smith, 2015. Xavier Hinaut Inria Researcher (CR) Mnemosyne team, Inria LaBRI, Universit? de Bordeaux Institut des Maladies Neurod?g?n?ratives +33 5 33 51 48 01 www.xavierhinaut.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From andreas.wichert at tecnico.ulisboa.pt Fri Aug 21 04:32:23 2020 From: andreas.wichert at tecnico.ulisboa.pt (Andrzej Wichert) Date: Fri, 21 Aug 2020 09:32:23 +0100 Subject: Connectionists: Book on Quantum Artificial Intelligence and Quantum Machine Learning Message-ID: Dear All, Recently the 2nd edition of my book "Principles of Quantum Artificial Intelligence: Quantum Problem Solving and Machine Learning? was published from World Scientific, https://www.worldscientific.com/worldscibooks/10.1142/11938 Most of the chapters were rewritten and extensive new materials were updated. New topics include quantum machine learning including Linear-Algebra Based Quantum Machine Learning and Adiabatic Quantum Computation and Quantum Annealing, quantum-like Bayesian networks and mind in Everett many-worlds. Maybe it is of some interest to you. Best Wishes, Andreas Wichert --------------------------------------------------------------------------------------------------- Prof. Auxiliar Andreas Wichert http://web.tecnico.ulisboa.pt/~andreas.wichert/ Instituto Superior T?cnico - Universidade de Lisboa Campus IST-Taguspark Avenida Professor Cavaco Silva Phone: +351 214233231 2744-016 Porto Salvo, Portugal -------------- next part -------------- An HTML attachment was scrubbed... URL: From cognitivium at sciencebeam.com Sun Aug 23 06:43:46 2020 From: cognitivium at sciencebeam.com (Maryam) Date: Sun, 23 Aug 2020 15:13:46 +0430 Subject: Connectionists: Neural Data Analysis Online Course Invitation Message-ID: <202008231043.07NAhm1f080050@scs-mx-03.andrew.cmu.edu> You are invited to ?Neural Data Analysis Online Course? Dear researcher; ScienceBeam, which is a forefront technology provider of neuroscience applications, would like to take the opportunity to invite you for 10-sessions ?Neural Data Analysis Online Course? that is going to start on September 7, 2020. During this course you will learn: (?????? Programming fundamentals: Variables, plots, loops (?????? How to compare ERPs in a statistical way: confidence intervals and bootstrapping (?????? EEG spectrum and spectrogram: from time to frequency and time-frequency (?????? More on spectrum: windowing and zero padding (?????? Analysis of coupled rhythms: covariance and coherence (?????? Filtering, filtering, and filtering! (?????? Cross-frequency coupling and Hilbert transform (?????? Brain states in sleep and Hidden Markov Model Hamed Yeganegi, PhD researcher in systems neuroscience, Technical University of Munich, Germany, is the instructor of this course. He is also a member of German Neuroscience Society (NWG) and Member of Federation of European Neuroscience Societies (FENS). Registration is open until September 4, 2020. Special discount is considered for students. You won?t want to miss this! Don?t hesitate and register from the link below: https://sciencebeam.com/register-form-neural-data-analysis-online-course/ If you needed more information please contact us via Whatsapp or Mail: Whatsapp number: +86 133 8078 1282 Email: workshop at sciencebeam.com www.sciencebeam.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From notebleue at gmail.com Sun Aug 23 21:09:36 2020 From: notebleue at gmail.com (Y-Lan Boureau) Date: Sun, 23 Aug 2020 21:09:36 -0400 Subject: Connectionists: Neurips 2020 workshop on Human in the loop dialogue systems: call for papers Message-ID: ************************ *Call for papers* *Workshop Title: **Human in the loop dialogue systems Workshop @ NeurIPS 2020* *Website:* https://sites.google.com/view/hlds-2020/home *Workshop Date:* Will fall on between 12/6/2020 ? 12/12/2020 *Submission:* https://cmt3.research.microsoft.com/HLDS2020/Submission/Index *Submission Deadline:* October 2nd 2020 (Anywhere on Earth) *Contact:* *hld-2020-organizers @googlegroups.com * ************************* *Description:* Conversational interaction systems such as Amazon Alexa, Google Assistant, Apple Siri, and Microsoft Cortana have become very popular over the recent years. Such systems have allowed users to interact with a wide variety of content on the web through a conversational interface. Research challenges such as the Dialogue System Technology Challenges, Dialogue Dodecathlon, Amazon Alexa Prize and the Vision and Language Navigation task have continued to inspire research in conversational AI. These challenges have brought together researchers from different communities such as speech recognition, spoken language understanding, reinforcement learning, language generation, and multi-modal question answering. Unlike other popular NLP tasks, dialogue frequently has humans in the loop, whether it is for evaluation, active learning or online reward estimation. Through this workshop we aim to bring together researchers from academia and industry to discuss the challenges and opportunities in such human in the loop setups. We hope that this sparks interesting discussions about conversational agents, interactive systems, and how we can use humans most effectively when building such systems. We will highlight areas such as human evaluation setups, reliability in human evaluation, human in the loop training, interactive learning and user modeling. We also highly encourage non-English based dialogue systems in these areas. The one-day workshop will include talks from senior technical leaders and researchers to share insights associated with training and evaluating dialogue systems. We also plan on having oral presentations and poster sessions on the works related to the workshop. Finally, we will end the workshop with an interactive panel of speakers. As an outcome we expect the participants from the NeurIPS community to walk away with better understanding of human in the loop dialogue modeling as well as key areas of research in this field. Additionally we would like to see discussions around the unification of human evaluation setups in a standardized way. *Scope and topics included but not limited to:* - Human Evaluation - Human evaluation setups and best practices - Cost effective setups - Reliability and dealing with bias of evaluation results - Interpretability of dialogue systems - User Modeling - Model based evaluation - User simulation - Human-in-the-loop - Online and offline reinforcement learning - Active learning - Visual and language learning *Invited Speakers:* - Zhou Yu (Columbia University) - Alexander Rudnicky (Carnegie Mellon University) - Maxine Eskenazi (Carnegie Mellon University) - Gokhan Tur (Amazon) - Jason Weston (Facebook) - Milica Gasic (Heinrich Heine University D?sseldorf) - Ankur Parikh (Google) - Percy Liang (Stanford) - Larry Heck (Samsung) *Organizers:* - Behnam Hedayatnia (Amazon) - Rahul Goel (Google) - Shereen Oraby (Amazon) - Abigail See (Stanford) - Chandra Khatri (Uber) - Y-Lan Boureau (Facebook) - Alborz Geramifard (Facebook) - Marylin Walker (UC Santa Cruz) - Dilek Hakkani-Tur (Amazon) -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonghyun.harry.lee at hawaii.edu Sun Aug 23 11:22:41 2020 From: jonghyun.harry.lee at hawaii.edu (Jonghyun Harry Lee) Date: Sun, 23 Aug 2020 05:22:41 -1000 Subject: Connectionists: Extended deadline (1st September) - AAAI 2020 Fall Symposium on Physics-guided AI Message-ID: Dear Colleagues, **** The submission deadline has now been extended to September 1, 11:59 PM Pacific Time to encourage more participation from the community amidst the COVID-19 crisis. If you have already made a submission, you are welcome to update it on Easychair till September 1. Please check the updates to the important dates! **** 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: *September 1, 11:59 PM Pacific Time: Paper submissions due* September 14: Acceptance/rejection letters sent to participants September 17: Registration Deadline September 25, 11:59 PM Pacific Time: Camera-ready papers due November 13-14: Symposium date 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 asaffio at aass.oru.se Mon Aug 24 07:00:17 2020 From: asaffio at aass.oru.se (Alessandro Saffiotti) Date: Mon, 24 Aug 2020 13:00:17 +0200 Subject: Connectionists: [meetings] Call for Participation: New Foundations for Human-Centered AI In-Reply-To: <501f8b34-044e-04ac-c10c-03e1843cf151@aass.oru.se> References: <501f8b34-044e-04ac-c10c-03e1843cf151@aass.oru.se> Message-ID: <9bcb504d-c0e6-0efb-6b39-b65779080d82@aass.oru.se> ====================================================================== = 1st International Workshop on New Foundations for Human-Centered AI = September 4, part of ECAI-2020, free registration ====================================================================== SYNOPSIS -------- In June 2018, the European Commission has appointed a "AI High Level Expert Group" (AI-HLEG) to support the implementation of the European Strategy on Artificial Intelligence. One of the first results of the AI-HLEG has been to deliver ethics guidelines on Artificial Intelligence (https://ec.europa.eu/futurium/en/ai-alliance-consultation/guidelines). These guidelines put forward a human-centered approach to AI, and list seven key requirements that human-centered, trustworthy AI systems should meet. Many of today's most popular AI methods, however, fail to meet these guidelines: making them compliant is a scientific endeavor that is as crucial as it is challenging and stimulating. This full day workshop will collectively address the fundamental questions of what are the scientific and technological gaps that we have to fill in order to make AI systems "human-centered" in terms of the above guidelines. PROGRAM ------- See the full program at the workshop web site: http://nehuai2020.aass.oru.se/ REGISTRATION ------------ The workshop is part of ECAI-2020, the European Conference on AI. To attend the workshop, you must register at https://digital.ecai2020.eu (free registration). ORGANIZERS ---------- Alessandro Saffiotti (Orebro University, Sweden) Luciano Serafini (Fondazione Bruno Kessler, Trento, Italy) Paul Lukowicz (DFKI, Kaiserslautern, Germany) SUPPORTING ORGANIZATIONS ------------------------ This worskhop is jointly organized by AI4EU (ai4eu.eu), the EU landmark project to develop a European AI on-demand platform and ecosystem; and by Humane-AI (humane-ai.eu), the EU FET preparatory action devoted to designing a European research agenda for Human Centered AI. ====================================================================== From adeel.razi at gmail.com Sun Aug 23 20:21:27 2020 From: adeel.razi at gmail.com (Adeel Razi) Date: Mon, 24 Aug 2020 10:21:27 +1000 Subject: Connectionists: Reminder: PhD Positions in Computational Neuroscience @ Monash Australia In-Reply-To: References: Message-ID: Dear all, This is a reminder regarding the PhD positions in our lab. Please see below. Best wishes, Adeel On Sun, Jul 19, 2020 at 5:19 AM Adeel Razi wrote: > 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 as soon as possible 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 compsens at medizin.uni-tuebingen.de Mon Aug 24 07:06:46 2020 From: compsens at medizin.uni-tuebingen.de (Compsens) Date: Mon, 24 Aug 2020 13:06:46 +0200 Subject: Connectionists: =?utf-8?q?PhD_Student_/_Postdoc_positions_in_Theo?= =?utf-8?q?retical_Neuroscience=2C_University_of_T=C3=BCbingen?= Message-ID: <20200824130646.Horde.Ep9jneDDMwgkhfM6KweL8kV@webmail.uni-tuebingen.de> PhD Student / Postdoc positions in Theoretical Neuroscience, Hertie Institute for Clinical Brain Research / Center for Integrative Neuroscience, University of T?bingen The positions are part of the ERC-Synergy grant RELEVANCE that investigates the neural and computational processing of bodies, which is realized in collaboration with the Universities of Leuven and Maastricht. The project aims at the investigation of the computational neural mechanisms of the visual processing of social stimuli, combining theoretical modeling with experimental research in physiology and imaging in humans as well as in animal models (realized by the other partners). The theoretical work will combine neural network modeling, machine learning, and advanced methods for stimulus control from computer graphics. We are looking for individuals with an interest, or possibly even partial expertise in one or multiple of the following areas: - physiologically-inspired neural modeling or neural data analysis - deep learning, biologically-inspired neural networks - machine learning with applications in cognitive science - motion capture and tracking - computer animation, virtual reality, game engines (e.g. Unreal, Unity) In addition, we are looking for individuals with interest to develop computer-animation or virtual reality technology for non-standard applications. Successful students / postdocs will be integrated in the research taking place in the Section for Computational Sensomotorics (http://www.compsens.uni-tuebingen.de/), which is part of the Dept. of Cognitive Neurology. The group works on neural modeling, machine learning techniques related to social recognition, computer animation, and human motion modeling, e.g. realizing highly-realistic avatars and VR applications for experiments in neuroscience and clinical research. The group is part of the CyberValley initiative (https://cyber-valley.de/) that links groups related to machine learning and industry applications in T?bingen. Talented students will have the opportunity to pursue a PhD in the International Max Planck Research Schools or for ?Mechanisms of Mental Function and Dysfunction? at the Graduate Training Center for Neuroscience (https://www.neuroschool-tuebingen.de/), or at the International Max Planck Research School for Intelligent Systems (https://imprs.is.mpg.de/). Requirements: Candidates should have a (research) master degree in one of the following disciplines: (Biomedical) Engineering, Computer Science, (Cognitive) Neuroscience, Mathematics, Physics, or Computer Animation/Visual Effects. In addition to these requirements, candidates should have a theoretical interest in the area of visual neuroscience, and experience with scientific programming (Matlab, Python, or any other language), as well as basic programing languages such as C++. Additional information: Section for Computational Sensomotorics, Dept. for Cognitive Neurology, Hertie Institute for Clinical Brain Research & Centre for Integrative Neuroscience, University Clinic T?bingen. Email: martin.giese at uni-tuebingen.de. Web: http://www.compsens.uni-tuebingen.de/ From jorgecbalmeida at gmail.com Mon Aug 24 13:57:49 2020 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Mon, 24 Aug 2020 18:57:49 +0100 Subject: Connectionists: Accepting applications for the Inter-university Master program in Clinical and Experimental Neuropsychology (IMCEN) in Portugal! Message-ID: The Inter-university Master program in Clinical and Experimental Neuropsychology (IMCEN) is accepting applications! IMCEN is an innovative graduate program joining the faculty and research resources from three of the top Portuguese Universities (Universities of Coimbra, Lisbon and Minho). We aim at selecting an international group of psychology graduates with solid background in psychology and neurosciences, highly motivated to pursue a career in clinical and/or experimental neuropsychology. Students will be provided with extensive training in cognitive neuroscience along with training in neuropsychological assessment and rehabilitation. This is accomplished through a 4 semester training program. Information on the program and courses can be found here: https://www.psi.uminho.pt/en/education/imcen/Pages/student-candidates.aspx A total of 18 students will be selected and allocated to one of three residence campi (University of Coimbra, University of Lisbon or University of Minho) according to the application process (6 per campus). The official teaching language is English. Applicants have to have a BA in Psychology or Psychological Sciences. Depending on who they want to work with, specific skills may be desirable ? strong programming skills, experience with fMRI data collection and analysis, etc. Applicants should select one of the faculty as a potential supervisor based on shared interests ? faculty include European Research Council grantees and very dynamic and active international researchers in the area. Specifically, the faculty includes ?scar Gon?alves ( *https://www.researchgate.net/profile/Oscar_Goncalves* ), M?rio Sim?es ( *ORCID: 0000-0002-1311-1338*), Adriana Sampaio ( https://www.researchgate.net/profile/Adriana_Sampaio2), Ana Pinheiro ( https://www.researchgate.net/profile/Ana_Pinheiro4/contributions), Ana Raposo (http://www.araposo.com/) and Jorge Almeida ( *https://scholar.google.com/citations?hl=en&user=ejJVE0wAAAAJ&view_op=list_works&sortby=pubdate* ). For more information see: https://www.psi.uminho.pt/en/education/imcen/Pages/faculty.aspx Call for applications is open until September 4, but we recommend contacting the faculty as a demonstration of interest. Specifically, if you want to work with Jorge Almeida you are strongly advised to contact him directly at (jorgealmeida at fpce.uc.pt). The application process will take place online, and will require the following items: - Official university transcripts (candidates area required to have a Psychology or Psychological Sciences degree with at least 180 ECTS completed by the time of registration); - A Curriculum Vitae; - A personal statement that clear shows how the candidate fits at least one of the faculty (see attached); - Name of potential referees. All candidates will be individually interviewed (international candidates may be interviewed online). For costs, please see: https://www.psi.uminho.pt/en/education/imcen/Pages/student-candidates.aspx Portugal is a fantastic country to live in, with a very attractive cost of living, superb standards of living and diverse points of interest ? an extensive ocean front, mountains, world heritage monuments, etc! We will be waiting for you! -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Untitled-1.jpg Type: image/jpeg Size: 202856 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Motivation_Letter_MINCE(1).docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 42215 bytes Desc: not available URL: From hocine.cherifi at gmail.com Tue Aug 25 05:15:37 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 25 Aug 2020 11:15:37 +0200 Subject: Connectionists: COMPLEX NETWORKS 2020 SUBMISSION DEADLINE APPROACHING 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 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 doug.leith at scss.tcd.ie Tue Aug 25 06:45:24 2020 From: doug.leith at scss.tcd.ie (Doug Leith) Date: Tue, 25 Aug 2020 11:45:24 +0100 Subject: Connectionists: PhD Scholarships - privacy and data analytics for online services, Trinity College Dublin Ireland Message-ID: <32FDAED8-65FF-4E39-A930-B40231BCD3AC@scss.tcd.ie> Successful applicants will have excellent analytical skills with an interest in machine learning, privacy and programming - the positions would suit a strong CS or Engineering graduate or a math graduate looking to gain experience of more applied problems in IT/Data Analytics. You will be joining a high profile research group with an excellent track record in high impact research. TCD is the leading university in Ireland and the School of Computer Science & Statistics is the top ranked Computer Science department. The lively university campus is located in the centre of Dublin. We have active international visitor programme and students have the opportunity for international and industry exchange visits. These positions are open to both EU and international applicants. Stipend The postgraduate scholarship is open to Irish, EU and international students and carry a stipend of ?18,500 (tax free). To apply, candidates should submit a detailed CV, transcripts of undergraduate grades and the names and contact details of two referees for letters of recommendation to Prof. Doug Leith, email: doug.leith at tcd.ie. See www.scss.tcd.ie/doug.leith for further details. From donatello.conte at univ-tours.fr Tue Aug 25 09:15:15 2020 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Tue, 25 Aug 2020 15:15:15 +0200 Subject: Connectionists: Second 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: <013c01d67ae1$c5657800$50306800$@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 (Track chairs) -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.langer at psychologie.uzh.ch Tue Aug 25 12:32:23 2020 From: n.langer at psychologie.uzh.ch (Nicolas Langer) Date: Tue, 25 Aug 2020 18:32:23 +0200 Subject: Connectionists: Full professorship in Neuropsychology and Cognitive Neuroscience at the University of Zurich Message-ID: <3A1FCC7F-C559-4631-9859-5F3919A7D4B5@psychologie.uzh.ch> ***Please excuse cross-posting *** The University of Zurich invites applications for a professorship in Neuropsychology and Cognitive Neuroscience (chair). The applicant should be an internationally recognized expert in one or several fields of Neuropsychology and Cognitive Neuroscience with a strong record of empirical research. Candidates should hold a PhD degree at the time of application and have an excellent record of academic achievements in the relevant field. The applicant should have acquired international reputation in this field and demonstrated substantial research activities and expertise as documented by publications in high-ranking journals in this field, as well as by successful grant applications. The applicant is expected to have substantial expertise in teaching Neuropsychology and Cognitive Neuroscience. The University of Zurich is an equal opportunities employer and in particular strives to increase the percentage of women in leading positions. Therefore, qualified female researchers are particularly encouraged to apply. The Department of Psychology values transparent, reproducible and replicable research and supports open science practices. Applicants are asked to document how they have pursued open science practices in the past and/or will do so in the future. The Department of Psychology of the University of Zurich with its broad research and teaching spectrum and Zurich as a center for higher education offers a research and teaching environment with plenty of opportunities for scientific exchange and cooperation. The position is a chaired, tenured Professorship at the associate or full professor level and should be filled by August 1, 2022. Teaching may be carried out in English. Non-German speaking candidates are expected to acquire a working knowledge of German within the first three years of appointment. The closing date for applications is 30 September 2020. Details on the application procedure are available on www.phil.uzh.ch/jobs.html . For further information please contact Prof. Klaus Oberauer (k.oberauer at psychologie.uzh.ch ). https://jobs.uzh.ch/offene-stellen/professorship-in-neuropsychology-and-cognitive-neuroscience/02b85d3e-d305-4d09-babe-c6cc46e3fc66 Nicolas Langer Assistant Professor of Methods of Plasticity Research University of Zurich Andreasstrasse 15 (Office AND.4.56) 8050, Zurich, Switzerland n.langer at psychologie.uzh.ch phone: (+41) 44 635 34 14 http://www.psychology.uzh.ch/en/areas/nec/plafor.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From rmcichy at googlemail.com Tue Aug 25 20:56:49 2020 From: rmcichy at googlemail.com (radoslaw martin cichy) Date: Wed, 26 Aug 2020 02:56:49 +0200 Subject: Connectionists: 3 Postdoc positions on human vision @ FU Berlin using 7T layer-fMRI/ deep learning, with MIT, CBS.MPG, LIN and GU In-Reply-To: References: Message-ID: The ERC project ?CRACK- Cracking the Neural Code of Human Object Vision? addresses open questions of where, when and how human neural activity enables visual cognition. We are offering three PostDoc positions in Radek Cichy?s Neural Dynamics of Visual Cognition Group at the Department of Education and Psychology and Education. Link: https://www.ewi-psy.fu-berlin.de/en/einrichtungen/arbeitsbereiche/neural_dyn_of_vis_cog/index.html . The positions are in two different directions of research: 1) 7T Layer-fMRI for resolving information flow (Reference code: CICHY-ERC-7T) We will distinguish, map and understand the role of feed-forward and feed-back information flow in human cortex for visual cognition. This will be done by resolving neural activity in space at the level of cortical layers using 7T-MRI, and in time through time-frequency decomposition of M/EEG data (e.g. Xie et al. 2020, Curr Biol), and their integration (Cichy et al., 2014 Nat Neuro; summarized in Cichy & Oliva, 2020 Neuron). This work is in (already established) collaboration with Nik Weiskopf (MPI for Cognitive and Brain Sciences) and Oliver Speck (LIN/OVGU). 2) Deep learning models of visual cortex (Reference code: CICHY-ERC-deep-learn) We will develop, compare and use artificial neural networks as models to better understand the neural code for visual contents. An example of primary work is Cichy at al., 2016 Sci Rep, a high-level perspective on our approach is summarized in Cichy & Kaiser 2020, Trends Cogn Sci. This work is in (also already established) collaboration with Aude Oliva (CSAIL/MIT) and Gemma Roig (Goethe University Frankfurt). An example of collaborative work in this spirit is the Algonauts Project, which will be further conducted as part of CCN in 2021. Funding is available immediately but maximally until 30.04.2024 (end of the funding period). Please find further details about the positions, the lab in general, and how to apply here: https://www.ewi-psy.fu-berlin.de/en/einrichtungen/arbeitsbereiche/neural_dyn_of_vis_cog/ERC-postdoc-call/index.html . The application deadline is September 27th. For informal inquiries please contact me (rmcichy at zedat.fu-berlin.de) directly. Best, Radek ERC StG / Emmy Noether Group Leader Department of Education and Psychology Freie Universit?t Berlin Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Tue Aug 25 15:16:19 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 25 Aug 2020 19:16:19 +0000 Subject: Connectionists: SBP-BRiMS'2020 -- Deadline for special tracks and short papers now 1 week away In-Reply-To: References: , , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies We hope this email finds you well. We also hope that everyone is safe and healthy. Deadline for special tracks and short papers is now just one week away !! The conference will now be held as an online/virtual conference. Conference dates still remain the same. Conference Dates: 2020 SBP-BRiMS conference: October 18 - 21, 2020 October 18: Tutorials October 19 - 21: Main conference. Venue: Online/Virtual Two New Special Tracks: Validation Track: For details, see the CFP at the conference website: http://sbp-brims.org/ COVID-19 Pandemic Track: For details, see the CFP at the conference website: http://sbp-brims.org/ New Deadlines for Short Papers, Special Track Papers, Doctoral Consortium: Old Deadline: August 15, 2020 New Deadline: Sept. 1, 2020 Decision Notification : Sept. 21, 2020 Camera-ready deadline: Sept. 30, 2020 Special issues are planned for selected papers from the main conference, and for the COVID-19 special track. Deadline for submission for Journal Special Issues: Nov. 15, 2020 For more details on paper submission, see the CFP at the conference website: http://sbp-brims.org/ Conference Format: The conference will now be held as an online/virtual conference. More details on this will be forthcoming. Please contact me if you have any questions or comments. Don Adjeroh SBP-BRiMS Publicity Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Tue Aug 25 17:20:56 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 25 Aug 2020 21:20:56 +0000 Subject: Connectionists: Postdoc position -- Computer Vision in Digital Health In-Reply-To: References: 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 ezio.bartocci at tuwien.ac.at Tue Aug 25 14:03:38 2020 From: ezio.bartocci at tuwien.ac.at (Ezio Bartocci) Date: Tue, 25 Aug 2020 20:03:38 +0200 Subject: Connectionists: QONFEST 2020 (CONCUR, FMICS, FORMATS, QEST + WORKSHOPS) - Last Call for Participation Message-ID: QONFEST 2020 - Call for Participation ==================================== Amid the recent COVID-19 situation, the organization committee decided that QONFEST 2020, will be organized online on ZOOM. Website: https://qonfest2020.github.io/ Twitter: https://twitter.com/qonfest2020 Facebook: https://www.facebook.com/search/top?q=wien%20qonfest2020 Youtube: https://www.youtube.com/channel/UCK9p1Z8nIPTP4Uv5Qodb1og/ (Watch the teasers of the conferences' talks) Platinum Sponsor: Interchain Foundation (https://interchain.io/ , https://youtu.be/hAgWLU4JW4U ) QONFEST is the umbrella conference comprising the joint international 2020 meetings: CONCUR 2020, the 31st International Conference on Concurrency Theory FMICS 2020, the 25th International Conference on Formal Methods for Industrial Critical Systems FORMATS 2020, the 18th International Conference on Formal Modeling and Analysis of Timed Systems QEST 2020, the 17th International Conference on Quantitative Evaluation of SysTems alongside with several workshops (EXPRESS/SOS, FRIDA, QAVS, TRENDS, SNR) and QEST tutorials. The topics covered are Theory, Formal Modelling, Verification, Performance Evaluation and Engineering of concurrent, timed, industrial critical, and other systems. Keynote speakers ================ - Alessandro Abate - University of Oxford (UK) - Roderick Bloem - TU Graz (Austria) - Thomas A. Henzinger - IST (Austria) - Annabelle McIver - Macquarie University (Australia) - Catuscia Palamidessi - INRIA Saclay and LIX (France) - Stefan Resch - Thales, (Austria) - Evgenia Smirni - College of William and Mary, (USA) Registration at https://qonfest2020.github.io/registration.html Organizing Committee ================== General Chair - Ezio Bartocci, TU Wien, Austria Workshops Chair - Florian Zuleger, TU Wien, Austria CONCUR PC-Chairs - Igor Konnov, INRIA Nancy, France - Laura Kovacs, TU Wien, Austria FMICS PC-Chairs - Dejan Nickovic, AIT, Austria - Maurice ter Beek, ISTI-CNR, Italy FORMATS PC-Chairs - Nathalie Bertrand, INRIA, France - Nils Jansen, Radboud University Nijmegen, Netherlands QEST PC-Chairs - Marco Gribaudo, Politecnico di Milano, Italy - David N. Jansen, Chinese Academy of Sciences, China - Anne Remke, University of M?nster, Germany Publicity Chairs - Carlos E. Budde, University of Twente, Netherlands - Panagiotis Katsaros, Aristotle University of Thessaloniki, Greece - Ana Sokolova, University of Salzburg, Austria -------------- next part -------------- An HTML attachment was scrubbed... URL: From kc.w at cityu.edu.hk Tue Aug 25 23:50:16 2020 From: kc.w at cityu.edu.hk (Dr. Ka Chun WONG) Date: Wed, 26 Aug 2020 03:50:16 +0000 Subject: Connectionists: Postdoc Recruitment in Computational Intelligence / Bioinformatics at City University of Hong Kong Message-ID: Postdoc Recruitment in Computational Intelligence / Bioinformatics at City University of Hong Kong Dear Sir/Madam, I am writing for a postdoc recruitment in Evolutionary Computation / Computational Intelligence / Bioinformatics at City University of Hong Kong. A suitable candidate should have ALL of the following good (not necessarily excellent) qualifications: Good Ability to Withstand and Profit from Criticism from Everybody (e.g. Thinking in Different Angles) Good Technical Skills (e.g. GPA > 3 out of 4) Good Judgement Ability (e.g. Job Prioritization) Good English Writing (e.g. TOEFL and IELTS) Good Adaptation to Different Environments Good Ability to Work Independently The candidate is also expected to deliver independent research works published on good journals for his/her career advancements in the future. Interested candidates should contact Dr. Ka-Chun Wong directly at kc.w at cityu.edu.hk Thanks for attention. Kind Regards, Ka-Chun ---------------------------------------------- Ka-Chun Wong BEng, MPhil (CUHK), PhD (Toronto) Assistant Professor Computer Science City University of Hong Kong Office: B6424 (YEUNG) Phone: (852)34428618 Email: kc.w at cityu.edu.hk Web: http://www6.cityu.edu.hk/stfprofile/kc.w.htm Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dftschool at ini.rub.de Wed Aug 26 05:49:46 2020 From: dftschool at ini.rub.de (DFT Summer School) Date: Wed, 26 Aug 2020 11:49:46 +0200 Subject: Connectionists: Open Virtual Summer School on Neuronal dynamics for embodied cognition starts next week! Message-ID: Please forward this advertisement to whoever you think might be interested. The deadline for applications is Aug 30, 2020! Thanks, Raul Grieben and Jan Tek?lve --- Virtual DFT School 2020 This year our summer school "Neural Dynamics for Embodied Cognition" will take place in virtual form from August 31 until September 5, 2020. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and practical introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science, and robotics. Topics addressed include neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. This virtual edition of our summer school will consist of two parts: A live-lecture series and a hands-on workshop. The lecture series will be held as a video conference and provides a step-by-step introduction to Dynamic Field Theory. This year's lectures will be open for everyone,? while the one-on-one tutoring limits the number of participants who can take part in the workshop. Participants for the workshop have already been selected and thus application for the workshop is no longer possible. The lecture series will be held from August 31 until September 4 and the workshop takes place September 3-5. Lectures will take place from 3 to 6 p.m. (CET) on each day. Participation in any part of the school is free of charge. To apply for the lecture series, please visit our web page: https://dynamicfieldtheory.org/events/summer_school_2020/ From axel.soto at cs.uns.edu.ar Wed Aug 26 08:20:57 2020 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Wed, 26 Aug 2020 09:20:57 -0300 Subject: Connectionists: ACM IUI 2021 - Call for tutorial proposals Message-ID: ACM IUI 2021 - CALL FOR TUTORIAL PROPOSALS In conjunction with the 26th International Conference on Intelligent User Interfaces (IUI 2021) College Station, Texas April 13-17, 2021 https://iui.acm.org/2021/ Tutorial co-chairs Osnat Mokryn, University of Haifa Vijay Drajanna, Sensel Emails: ossimo at gmail.com vijay.drajanna at gmail.com CALL FOR PROPOSALS We are pleased to invite proposals for tutorials to be held in conjunction with the conference. The goal of the tutorials is to provide a venue for presenting research on focused topics of interest and an informal forum to discuss research questions and challenges. Tutorials are designed to provide fundamental knowledge and experience on topics related to intelligent user interfaces, and the intersection between Human-Computer Interaction (HCI) and Artificial Intelligence (AI). Note: We encourage you to contact the chairs with your ideas (emails above), and work together to prepare an exciting proposal. We encourage proposals for a wide range of tutorials, including but not limited to: - "Hands-on" or ?project-centric? tutorials around a specific problem or topic. - Tutorials on a specific topic relevant to IUI; for example, methods and approaches in HCI and/or AI, specific techniques or algorithms to develop intelligent user interfaces, etc. Tutorials will be held on the first day of the conference. We invite submissions of proposals for half-day (3 hours) or full-day (6 hours) tutorials. Proposals will be reviewed and evaluated by the tutorial chairs. We encourage you to consider virtual and semi-virtual options for the tutorial in the submission. The organizers of accepted tutorials 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. Tutorial organizers are also required to set up their own website with information about the tutorial and the IUI 2021 web site will refer to this website. PROPOSAL FORMAT Tutorial proposals should be maximum 2 pages long and follow the formatting instructions at https://www.acm.org/publications/proceedings-template. Please either use the Word interim template with Libertine fonts downloaded and embedded, or the LaTex sigconf template. The proposals should be organized as follows: - Name and title: A one-word acronym and a full title. - Description of tutorial topic: This description should discuss the relevance of the suggested topic to IUI and its interest for the IUI2021 audience. Include a brief discussion of why and for which audience the tutorial is of particular interest. - Organizer(s): Names, affiliations, emails, and web pages of the organizer(s). Provide a brief description of the background of the organiser(s). Strong proposals normally include organizers who bring differing perspectives on the topic and are actively connected to the communities of potential participants. Also please provide a list of other tutorials organized by the organizers in the past. - Participants: A statement saying how many participants you expect and how you plan to invite participants for the tutorial. If possible, include the names of at least 10 people who have expressed interest to participate in the tutorial. -Tutorial format: A brief description of the format regarding the mix of events or activities, such as teaching activities, hands-on practical exercises, and general discussion. Please also list here any material you will make available to tutorial participants, e.g. slides, access to hardware/software, handouts, etc. - Planned outcomes of the tutorial: What are you hoping to achieve by the end of the tutorial. - Length: Half-day or Full-day. Please submit your proposal via https://new.precisionconference.com/ selecting the IUI 2021 Tutorials track. IMPORTANT DATES Discuss your topic with the workshop and tutorials chairs: ASAP Proposals due: 23 October 2021 Reviews Sent: Monday, 30 November 2021 Revised Proposal Submissions: 20 December 2021 Notifications to authors: Tuesday, 14 January 2021 Camera-ready for Tutorial summary: February 10, 2021 Tutorials held: 13 April 2021 From scik at zhaw.ch Wed Aug 26 10:13:31 2020 From: scik at zhaw.ch (Schilling Frank-Peter (scik)) Date: Wed, 26 Aug 2020 14:13:31 +0000 Subject: Connectionists: ANNPR 2020: One week to go! 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. 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 available at https://annpr2020.ch/program/ Registration is still open. Day passes are available! 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 suashdeb at gmail.com Wed Aug 26 10:47:34 2020 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 26 Aug 2020 20:17:34 +0530 Subject: Connectionists: Final Extension of deadline, ISCMI 2020 (Conference in memory of life & work of Prof. Lotfi Zadeh) Message-ID: Dear esteemed colleagues, Trust all of you and your near and dear ones are safe and doing well amidst the prevailing unprecedented situation. Pls. stay vigilant and take utmost care. Thanks very much for your overwhelming support for ISCMI20 http://iscmi.us/ , the annual flagship event of IICCI http://iicci.in/ , especially in such tumultuous time. As you know, due to the covid-19 pandemic, this year the conference would be held in virtual mode. At the end of paper submission deadline (yesterday), many peers had expressed disappointment at not being able to finish and submit papers due to the current situation and had solicited more time for doing the needful. By considering the current global scenario & paying heed to their request, we have extended the deadline for a last time till 20th Sept, 2020. Hope if not being able to submit so far, you will avail the opportunity & upload your papers too. Just to refresh your memory, a few pertinent points of ISCMI20 are : *Proceedings* The proceedings of all the previous 6 lSCMl conferences (2014-19) are available at IEEE Xplore. Also the papers of all the hitherto held lSCMl are indexed by Scopus & Ei Compendex Apart from the lEEE published proceedings & availability at Xplore etc., there is scope for a selected subset of papers to be considered for publication at a special issue of the NCAA journal (a Springer publication with 2018 Impact Factor & 5 year Impact Factor of 4.664 & 3.570 respectively https://www.springer.com/journal/521). *Prof. Zadeh Memorial lecture * The annual llCCl Prof. Zadeh Memorial lecture at ISCMI 2020 will be delivered by Prof. B-M Bernadette, the current President of IEEE Computational Intelligence Society (Life Fellow, IEEE & also Fellow, IFSA). Best regards, Suash Deb General Chair, ISCMI20 -------------- next part -------------- An HTML attachment was scrubbed... URL: From alekhyamandali at gmail.com Wed Aug 26 12:48:32 2020 From: alekhyamandali at gmail.com (alekhya mandali) Date: Wed, 26 Aug 2020 17:48:32 +0100 Subject: Connectionists: Call for submissions to frontier research topic Message-ID: Dear Connectionists We invite contributions to the Frontier's Research topic - ' Exploring Psychopathology: Utility, Action-Selection and Beyond' ABSTRACT ---------------------------------------------------------------------------------------------------------- A huge body of work on understanding each of many psychiatric conditions in the context of behaviors, neural correlates, and intervention is available and still on-going. One area of research that is rapidly gaining ground is that of impaired decision making in psychiatric disorders such as anxiety, OCD, schizophrenia, etc. The role of more abstract constructs such as emotion, effort, and motivation in utility or value computation and action selection or policymaking is still quite nascent. This Research Topic attempts to bring together research projects that address this need. We welcome theoretical and experimental studies that apply ?reward or utility maximization and action-selection? framework to psychiatric conditions such as impulsive (e.g. gambling, addiction), mood and anxiety, and compulsive disorders. Novel approaches that expand this framework and incorporate constructs such as emotion, effort, and motivation are of special focus. The call is open but not restricted to: ? Novel experimental studies/paradigms that investigate effort, motivation, mood, and anxiety in a reward-utility framework in health and disease such as OCD, depression, anxiety, and mood disorders. ? Computational models that utilize either data-driven, simulation-based approaches, and reinforcement learning models where the abstract factors such as effort, motivation, mood, and anxiety are represented in terms of value or utility. ? Research that focuses on studying the causal relationship between decision making and effort, motivation, mood, and anxiety ? Translation research such as pharmacological interventions where insights gained could potentially help design novel treatment/ diagnostic methods. SUBMISSION DATES ---------------------------------------------------------------------------------------------------------- Abstract deadline: 30th September 2020 Manuscript deadline: 01 Jan 2021 DETAILS ---------------------------------------------------------------------------------------------------------- https://www.frontiersin.org/research-topics/15163/exploring-psychopathology-utility-action-selection-and-beyond -- https://sites.google.com/view/alekhyamandali/home -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Wed Aug 26 15:06:20 2020 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Wed, 26 Aug 2020 19:06:20 +0000 Subject: Connectionists: Call for Nominations: Neural Networks Best Paper Award Message-ID: Please see this year's Call for Nominations with the deadline of Sept. 30: https://www.journals.elsevier.com/neural-networks/awards/neural-networks-best-paper-award-neunet Information about the award is given below: https://www.journals.elsevier.com/neural-networks/news/neural-networks-best-paper-award Thanks, Kenji Doya and DeLiang Wang Co-Editors-in-Chief, Neural Networks -------------- next part -------------- An HTML attachment was scrubbed... URL: From william.smith at york.ac.uk Fri Aug 28 09:48:01 2020 From: william.smith at york.ac.uk (William Smith) Date: Fri, 28 Aug 2020 14:48:01 +0100 Subject: Connectionists: BMVC 2020 call for participation Message-ID: We are pleased to announce that registration for the virtual conference is available at: https://bmvc2020.github.io/attending/registration/ We have worked hard to keep the costs of the conference as low as possible to allow as many people as possible to attend the interactive parts of the virtual conference. For attendees, the virtual interactive conference registration is only ?25 for the four days of the conference. This year?s BMVC will be held virtually over four days with a keynote talk, two oral presentation sessions and a poster session on each day in the traditional single-track format. Please see the schedule on the website for the detailed timetable for the different sessions. We are delighted to announce that our four keynote speakers will be Sanja Fidler, Laura Leal-Taix?, Kate Saenko and Andrew Davison. The details of the accepted papers and their presentation times are now available on the website. The virtual conference will consist of a live-stream of the keynotes and oral sessions, with the opportunity for questions and answers with the presenters, as well as poster sessions consisting of pre-recorded videos for all papers as well as interactive discussions with authors over text, audio and video via rocket.chat channels during the poster sessions. In addition there will be scheduled activities from sponsors and discussion/networking forums including a BMVA town hall meeting for future ideas and how to get involved with BMVA activities, the vision community and next year?s BMVC. Best Wishes, BMVC 2020 Chairs Neill Campbell, Oisin Mac Aodha, Lourdes Agapito, William Smith, Moi Hoon Yap, Martin Fergie -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at aalto.fi Fri Aug 28 05:00:54 2020 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Fri, 28 Aug 2020 09:00:54 +0000 Subject: Connectionists: =?utf-8?q?22_postdoc=2C_research_fellow_and_PhD_s?= =?utf-8?q?tudent_positions_in_artificial_intelligence_and_machine_learnin?= =?utf-8?q?g_=E2=80=93_Finnish_Center_for_Artificial_Intelligence_FCAI_=28?= =?utf-8?q?Helsinki=2C_Finland=29?= Message-ID: <640BAAF9-6D06-4A3D-A023-B665353CF8B1@aalto.fi> Are you an ambitious researcher looking for an interesting postdoc, research fellow or PhD position? Finnish Center for Artificial Intelligence FCAI offers a possibility for 22 new researchers to join a unique research community with an attractive joint mission. FCAI is a community of experts that brings together top talents in academia, industry, and public sector to solve real-life problems using both existing and novel AI. Our research mission is to create a new type of AI that is data efficient, trustworthy, and understandable. We develop AI techniques needed for systems which can help their users make better decisions and design better solutions across a range of tasks from personalized medicine to materials design. A core insight in developing such AIs is that they need to have world models for understanding the world and interacting with it, and user models for understanding the user and interacting with them. Depending on the position, we are looking for mainly postdocs, but also excellent research fellow and PhD student candidates can be considered for some of the positions. The positions are negotiated on an individual basis and may include e.g. relocation bonus and independent travel budget. We welcome applicants with diverse backgrounds, and qualified female candidates are explicitly encouraged to apply. The deadline for applications is October 5, 2020 (midnight UTC+02:00) Read more and apply here: https://fcai.fi/we-are-hiring From jenny.benois-pineau at u-bordeaux.fr Thu Aug 27 11:11:18 2020 From: jenny.benois-pineau at u-bordeaux.fr (jbenoisp) Date: Thu, 27 Aug 2020 17:11:18 +0200 Subject: Connectionists: CFP ICPR'2020 WS Explainable DL-AI Message-ID: ----------------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 https://edl-ai-icpr.labri.fr 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) Due to COVID situation, the WorkShop may be held in a hybrid or Online Format. ALL ACCEPTED PAPERS WILL BE PUBLISHED. 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 hongzhi.kuai at gmail.com Fri Aug 28 10:11:16 2020 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Fri, 28 Aug 2020 23:11:16 +0900 Subject: Connectionists: IEEE/WIC/ACM WI-IAT 2020 Paper submission deadline: Sept 1, 2020 In-Reply-To: References: Message-ID: > > > > [Apologies if you receive this more than once] > > +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ > The 2020 IEEE/WIC/ACM International Joint Conference on > Web Intelligence and Intelligent Agent Technology (WI-IAT'20) > 14-17 December 2020 - A Fully Virtual Conference > Homepage: http://wi2020.vcrab.com.au/ > > Web Intelligence (WI) = AI in the Connected World > +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ > Full Papers Submission Deadline: Sep. 1, 2020 (last deadline extension) > > Due to the current Stage 4 COVID-19 lockdown in Melbourne and many > requests, > we have decided that the WI-IAT 2020 will be converted to an entirely > virtual conference > and the deadline for paper submission has been extended to 1st September > 2020. > > JOURNAL OPPORTUNITIES (possible post conference publication) > ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ > - Web Intelligence Journal ( > https://www.iospress.nl/journal/web-intelligence-and-agent-systems/) > Publisher: IOS Press > > - World Wide Web Journal ( > https://www.springer.com/journal/11280/updates/17869608) > Special Issue on "Web Intelligence = Artificial Intelligence in the > Connected World" > Publisher: Springer Nature > > - Information Fusion ( > https://www.journals.elsevier.com/information-fusion/call-for-papers/multi-source-information-fusion > ) > Special Issue on "Multi-Source Information Fusion for Smart Health with > AI" > Publisher: Elsevier > > - International Journal of Information Technology & Decision Making ( > https://www.worldscientific.com/worldscinet/ijitdm) > Publisher: World Scientific > > - Concurrency and Computation: Practice and Experience ( > https://onlinelibrary.wiley.com/journal/15320634) > Publisher: Wiley > > - Information Sciences ( > https://www.journals.elsevier.com/information-sciences) > Publisher: Elsevier > > - IEEE Transactions on Fuzzy Systems ( > https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=91) > Publisher: IEEE Press > > - Future Generation Computer Systems ( > https://www.sciencedirect.com/journal/future-generation-computer-systems) > Publisher: Elsevier > > - Brain Informatics (https://braininformatics.springeropen.com/) > Publisher: Springer Nature > > - Symmetry ( > https://www.mdpi.com/journal/symmetry/special_issues/Biological_Network_Analysis_Synthesis_Symmetry > ) > Special Issue on "Biological Network Analysis and Synthesis for Symmetry" > Publisher: MDPI > > *** Call for papers *** > Full Papers Submission Deadline: Sep. 1, 2020 > > Web has evolved as an omnipresent system which highly impacts science, > education, industry and everyday life. Web is now a vast data production > and consumption platform at which threads of data evolve from multiple > devices, by different human interactions, over worldwide locations under > divergent distributed settings. Such a dynamic complex system demands > adaptive intelligent solutions, which will advance knowledge, human > interactions and innovation. Web intelligence is now a cutting edge area > which must address all open issues towards deepening the understanding of > all Web?s entities, phenomena, and developments. > > Web Intelligence and Intelligent Agent Technology (WI-IAT) aims to achieve > a multi-disciplinary balance between research advances in theories and > methods usually associated with collective intelligence, data science, > human-centric computing, knowledge management, network science, autonomous > agents and multi-agent systems. It is committed to addressing research that > both deepen the understanding of computational, logical, cognitive, > physical, and social foundations of the future Web, and enable the > development and application of intelligent technologies. WI-IAT ?20 > provides a premier forum and features high-quality, original research > papers and real-world applications in all theoretical and technology areas > that make up the field of Web Intelligence and Intelligent Agent > Technology. WI-IAT ?20 welcomes research, application as well as > Industry/Demo-Track paper submissions. Tutorial, Workshop and > Special-Session proposals and papers are also welcome. WI-IAT ?20 is > officially > sponsored by IEEE Computer Society Technical Committee on Intelligent > Informatics (TCII), Web Intelligence Consortium (WIC), ACM-SIGAI, Swinburne > University of Technology, Deakin University, and technically sponsored by > University of Melbourne. > > WI-IAT ?20 will provide a broad forum that academia, professionals and > industry people can exchange their ideas, findings and strategies in > utilizing the power of human brains and man-made networks to create a > better world. More specifically, the fields of how intelligence is > impacting the Web of People, the Web of Data, the Web of Things, the Web of > Trust, the Web of Agents, and emerging Web in health and smart living in > the 5G Era. > > The main theme for the WI-IAT '20 is "Web Intelligence = AI in the > Connected World". It will also feature an industrial session, to embrace > innovative concepts, architecture, evaluation and novel applications from > industry. > > TRACKS AND TOPICS > ++++++++++++++++++ > Track 1: Web of People > > * Crowdsourcing and Social Data Mining > * Human-Centric Computing > * Information Diffusion > * Knowledge Community Support > * Modelling Crowd-Sourcing > * Opinion Mining > * People Oriented Applications and Services > * Recommendation Engines > * Sentiment Analysis > * Situational Awareness Social Network Analysis > * Social Groups and Dynamics > * Social Media and Dynamics > * Social Networks Analytics > * User and Behavioural Modelling > > Track 2: Web of Data > > * Algorithms and Knowledge Management > * Autonomy-Oriented Computing (AOC) > * Big Data Analytics > * Big Data and Human Brain Complex Systems > * Cognitive Models > * Computational Models > * Data-Driven Services and Applications > * Data Integration and Data Provenance > * Data Science and Machine Learning > * Graph Isomorphism > * Graph Theory > * Information Search and Retrieval > * Knowledge Graph > * Knowledge Graph and Semantic Networks > * Linked Data Management and Analytics > * Self-Organizing Networks > * Semantic Networks > * Sensor Networks > * Web Science > > Track 3: Web of Things > > * Complex Networks > * Distributed Systems and Devices > * Dynamics of Networks > * Industrial Multi-Domain Web > * Intelligent Ubiquitous Web of Things > * IoT Data Analytics > * Location and Time Awareness > * Open Autonomous Systems > * Streaming Data Analysis > * Web Infrastructures and Devices Mobile Web > * Wisdom Web of Things (W2T) > > Track 4: Web of Trust > > * Blockchain analytics and technologies > * Fake content and fraud detection > * Hidden Web Analytics > * Monetization Services and Applications > * Trust Models for Agents > * Ubiquitous Computing > * Web Cryptography > * Monetization services and applications > * Web safety and openness > > Track 5: Web of Agents > > * Agent Networks > * Autonomy Remembrance Agents > * Autonomy-oriented Computing > * Behaviour Modelling > * Distributed Problem-Solving Global Brain > * Edge Computing > * Individual-based Modelling Knowledge > * Information Agents > * Local-Global Behavioural Interactions > * Mechanism Design > * Multi-Agent Systems > * Network Autonomy Remembrance Agents > * Self-adaptive Evolutionary Systems > * Self-organizing Systems > * Social Groups and Dynamics > > Special Track: Emerging Web in Health and Smart Living > > * Big Data in Medicine > * City Brain and Global Brain > * Digital Ecosystems > * Digital Epidemiology > * Health Data Exchange and Sharing > * Healthcare and Medical Applications and Services > * Omics Research and Trends > * Personalized Health Management and Analytics > * Smart City Applications and Services > * Time Awareness and Location Awareness Smart City > * Wellbeing and Healthcare in the 5G Era > > > IMPORTANT DATES > +++++++++++++++ > Sep 1st, 2020: Full Papers Submission > Oct 20th, 2020: Notification of Paper Acceptance/Rejection > Dec 14th-17th, 2020: Virtual Conference (Including the main conference and > workshops/special sessions) > > PAPER SUBMISSION GUIDELINES (including Main Conference and > Workshops/Special Session Papers) > > ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ > Papers must be submitted electronically in standard IEEE Conference > Proceedings format (max 8 pages, templates at > https://www.ieee.org/conferences/publishing/templates.html). > Submitted papers will undergo a peer-review process, coordinated by the > International Program Committee. > > Paper submission will be done through CyberChair system: > https://wi-lab.com/cyberchair/2020/wi20/scripts/submit.php?subarea=WI > > ACCEPTED WORKSHOPS/SPECIAL SESSIONS > +++++++++++++++++++++++++++++++++++ > - The 13th International Workshop on Natural Language Processing and > Ontology Engineering (NLPOE2020) > http://rcei.jiangnan.edu.cn/info/1004/1485.htm > Organizers: > Yao Liu, Institute of Scientific and Technical Information, China > Meng Wang, Jiangnan University, China > Yi Huang, Institute of Scientific and Technical Information, China > > - The 5th International Workshop on Application of Big Data for > Computational Social Science (ABCSS2020) > https://css-japan.com/abcss2020/ > Organizers: > Fujio Toriumi, The University of Tokyo, Japan > Akira Ishii, Tottori University, Japan > Hiroki Takikawa, Tohoku University, Japan > Mitsuo Yoshida, Toyohashi University of Technology, Japan > Isamu Okada, Soka University, Japan > > - The 7th International Workshop on Complex Methods for Data and Web > Mining (CMDWM) > > http://feds.ac.cn/index.php/zh-cn/tzgg/2848-call-for-paper-the-7th-workshop-on-complex-methods-for-data-and-web-mining-cmdwm > Organizers: > Yong Shi, University of Chinese Academy of Sciences, China > Lingfeng Niu, University of Chinese Academy of Sciences, China > > - Social Media Analytics for Health Intelligence: How Artificial > Intelligence Transforms Healthcare (SMA4H) > http://sma4h.icar.cnr.it > Organizers: > Carmela Comito, CNR-ICAR, Italy > Agostino Forestiero, CNR-ICAR, Italy > Clara Pizzuti, CNR-ICAR, Italy > > - The International Workshop on Data Analytics on Social Media (DASM) > https://www.dasm-workshop.qut.edu.au/ > Organizers: > Yue Xu, Queensland University of Technology, Australia > Xiaoying Gao, Victoria University of Wellington, New Zealand > Yuefeng Li, Queensland University of Technology, Australia > > - The 9th International Workshop on Intelligent Data Processing (IDP) -- > Online Education Amid COVID19 > https://www.comp.hkbu.edu.hk/~csyxli/IDP2020/index.html > Organizers: > Haolan Zhang, Zhejiang University, China > Junwei Wang, Zhejiang University, China > Kristen Yuanxi Li, Hong Kong Baptist University, HK, China > Paolo Mengoni, Hong Kong Baptist University, HK, China > Zhenyu Shu, Zhejiang University, China > > - Topics of Internet Censorship and Surveillance > https://tics.site/ > Organizers: > Vasilis Ververis, Humboldt University of Berlin, Germany > Marios Isaakidis, University College London, United Kingdom > Gunnar Wolf, National Autonomous University of Mexico, Mexico > > We are looking forward to your contributions! > > > ORGANIZATION STRUCTURE > ++++++++++++++++++++++ > General Chairs > * Yuefeng Li, Queensland University of Technology, Australia > * Rainer Unland, University of Duisburg-Essen, Germany > * Eugene Santos Jr., Dartmouth College, USA > > Program Committee Chairs > * Jing He, Swinburne University of Technology, Australia > * Hemant Purohit, George Mason University, USA > * Willem-Jan van den Heuvel, The Netherlands > * John Yearwood, Deakin University, Australia > > Local Organizing Chairs > * Chi Hung Chi, CSIRO, Australia > * Anwaar Ulhaq, Charles Sturt University, Australia > * Vicky Mak-Hau, Deakin University, Australia > > Workshop/Special Session Chairs > * Jian Cao, Shanghai Jiaotong University, China > * Ke Deng, RMIT University, Australia > * Xiaoying Gao, Victoria University of Wellington, New Zealand > > Tutorial Chair > * Rui Zhang, University of Melbourne, Australia > > Demo Chair > * Juan D. Velasquez Silva, University of Chile, Chile > > Industry Track Chairs > * Qing Liu, CSIRO, Australia > * Yimu Ji, Nanjing University of Posts and Communications, China > > Publication Chairs > * Guangyan Huang, Deakin University, Australia > * Yanfeng Shu, CSIRO, Australia > * Ruchuan Wang, Nanjing University of Posts and Communications, China > > Publicity Chairs > * Karin Becker, Universidade Federal do Rio Grande Do Sul, Brasil > * Yang Liu, Hong Kong Baptist University, HK, China > * Muhammad Abulaish, South Asian University, India > * Leonidas Anthopoulos, University of Thessaly, Greece > * Yuanfang Li, Monash University, Australia > > WebMaster > * Mengjiao Guo, Swinburne University of Technology, Australia > > CyberChairMaster > * Hongzhi Kuai, Maebashi Institute of Technology, Japan > > WIC Steering Committee Chairs > * Ning Zhong, Maebashi Institute of Technology, Japan > * Jiming Liu, Hong Kong Baptist University, HK, China > > WIC Executive Secretary > * Xiaohui Tao, University of Southern Queensland, Australia > > Contact Information > Academic Matters > Prof. Jing He, Swinburne University of Technology, Australia > Email:jinghe at swin.edu.au > > Local Arrangement > wi.iat.2020.12 at gmail.com > ________________________________________________________________________ > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Fri Aug 28 15:17:04 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Fri, 28 Aug 2020 21:17:04 +0200 Subject: Connectionists: Call for Papers -- Big Data Journal Special Issue on Evaluation and Experimental Design in Data Mining and Machine Learning Message-ID: An HTML attachment was scrubbed... URL: From Vittorio.Murino at iit.it Fri Aug 28 12:28:23 2020 From: Vittorio.Murino at iit.it (Vittorio Murino) Date: Fri, 28 Aug 2020 18:28:23 +0200 Subject: Connectionists: =?utf-8?q?5th_HUAWEI_INTERNATIONAL_VIDEO_INTELLIG?= =?utf-8?q?ENCE_FORUM_--_September_7th_=E2=80=93_11th=2C_2020?= Message-ID: <0fa930c7-a0d9-7f4d-5b6f-60ffadfe8739@iit.it> Apologise for multiple postings ====================================================== HUAWEI 5th INTERNATIONAL VIDEO INTELLIGENCE FORUM September 7th ? 11th, 2020 THE IMPACT OF AI IN COMPUTER VISION Huawei Ireland Research Center (Video Lab) is inviting you to the Huawei 5th International Video Intelligence Forum, planned to be held during the week from Sep 7th to 11th, 2020. This summit is held each year and we are inviting leading experts and scientists discussing and addressing broad topics such as behaviour analysis, recognition, AR/VR and related applications. See the speakers of this edition! Based on the current situation of Covid-19, this year the event will go virtual so that you are free to safely join the forum from your home or office. To attend the event, it is mandatory to be registered. For more information, please check our registration website: www.huaweiinternationalvideointelligenceforum.com We look forward to meeting you in this virtual forum! Vittorio Murino Nicu Sebe ========================== Speakers and Talks Prof. Bernt Schiele Saarland University The Bright and Dark Sides of Computer Vision and Machine Learning ? Challenges and Opportunities for Robustness and Security Prof. Cees Snoek University of Amsterdam Unseen Video Understanding Prof. Davide Scaramuzza University of Zurich Event cameras: Current status and the road ahead Prof. Andrea Vedaldi University of Oxford TBD Prof. Elisa Ricci University of Trento Learning Continuously and Adaptively: a Deeper Look at Domain Adaptation and Continual Learning for Visual Recognition in Real-world Environments Prof. Jiri Matas Czech Technical University in Prague Establishing Correspondences in Computer Vision Problems: State-of-the-art, Benchmarking, Applications ?Prof. Pascal Fua ?cole polytechnique f?d?rale de Lausanne (EPFL) Deep Surface Meshes Prof. Sean Gong Queen Mary University of London Less is More: Visual Search without Image and with User Ownership at the Edge Prof. Bastian Leibe RWTH Aachen University TBD ============================ ******************************************* Prof. Vittorio Murino, Ph.D. Dept. of Computer Science University of Verona Verona, Italy Ireland Research Center Huawei Technologies Ltd. Dublin, Ireland PAVIS - Pattern Analysis & Computer Vision Istituto Italiano di Tecnologia ******************************************** From marcin at amu.edu.pl Sat Aug 29 06:51:13 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sat, 29 Aug 2020 12:51:13 +0200 Subject: Connectionists: TOC: Scalable Computing: Practice and Experience (SCPE); Vol. 21 No. 1 (2020): Special Issue on Role of Scalable Computing and Data Analytics in Evolution of Internet of Things In-Reply-To: References: Message-ID: Table of Contents; Scalable Computing: Practice and Experience (SCPE); Vol. 21 No. 1 (2020): Special Issue on Role of Scalable Computing and Data Analytics in Evolution of Internet of Things + 1 research paper * SCPE does NOT charge any fees for publishing Open Access papers and is Indexed in SCOPUS and in Clarivate Analytics (former Thompson Reuters) Emerging Sources Citation Index* All papers available (open access) via: http://scpe.org/index.php/scpe/issue/view/148 Introduction to the Special Issue on Role of Scalable Computing and Data Analytics in Evolution of Internet of Things Swaminathan JN, Gopi Ram, Sureka Lanka Special Issue Papers Brain Tumor Detection from MRI using Adaptive Thresholding and Histogram based Techniques E Murali, K Meena An Ensemble Integrated Security System with Cross Breed Algorithm Suresh Mundru, K Meena Background Modelling using a Q-Tree Based Foreground Segmentation S Shahidha Banu, N Maheswari Topological Ordering Signal Selection Technique for Internet of Things based on Combinational Gate for Visibility Enhancement Agalya Rajendran, Muthaiah Rajappa Secured Identity Based Cryptosystem Approach for Intelligent Routing Protocol in VANET A Karthikeyan, P G Kuppusamy, Iraj S Amiri An Application based Efficient Thread Level Parallelism Scheme on Heterogeneous Multicore Embedded System for Real Time Image Processing. K Indragandhi, Jawahar P K A Study to Analyze Enhancement Techniques on Sound Quality for Bone Conduction and Air Conduction Speech Processing Putta Venkata Subbaiah, Hima Deepthi A Novel Approach Based on Modified Cycle Generative Adversarial Networks for Image Steganography P G Kuppusamy, K C Ramya, S Sheebha Rani, M Sivaram, Vigneswaran Dhasarathan Minimizing Deadline Misses and Total Run-time with Load Balancing for a Connected Car Systems in Fog Computing K Jairam Naik, D Hanumanth Naik Long and Strong Security using Reputation and ECC for Cloud Assisted Wireless Sensor Networks D Antony Joseph Rajan, E R Naganathan Detection and Classification of 2D and 3D Hyper Spectral Image using Enhanced Harris Corner Detector A Karthikeyan, S Pavithra, P M Anu SPCACF: Secured Privacy-Conserving Authentication Scheme using Cuckoo Filter in VANET A Rengarajan, M Mohammed Thaha Logistics Optimization in Supply Chain Management using Clustering Algorithms R Mahesh Prabhu, G Hema, Srilatha Chepure, M. Nageswara Guptha Acoustic Feedback Cancellation in Efficient Hearing Aids using Genetic Algorithm G Jayanthi, Latha Parthiban Analysis on Deep Learning methods for ECG based Cardiovascular Disease prediction S Kusuma, J Divya Udayan A Hybrid Intrusion Detection System for Mobile AdHoc Networks using FBID Protocol D Rajalakshmi, K Meena Research Papers Monte Carlo Simulations of Coupled Transient Seepage Flow and Soil Deformation in Levees Fred Thomas Tracy, Jodi L. Ryder, Martin T. Schultz, Ghada S. Ellithy, Benjamin R. Breland, T. Chris Massey, Maureen K. Corcoran -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From junfeng989 at gmail.com Sun Aug 30 10:31:23 2020 From: junfeng989 at gmail.com (Jun Feng) Date: Sun, 30 Aug 2020 22:31:23 +0800 Subject: Connectionists: [Last day for submission][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: From lpandolfo at uniss.it Mon Aug 31 10:55:29 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Mon, 31 Aug 2020 16:55:29 +0200 Subject: Connectionists: [ICLP 2020] Autumn School - Call for participation Message-ID: <5cd50079-aaf3-f246-6edc-67565dbdbeab@uniss.it> [Apologies for cross-posting] [Please redistribute] The organization of the autumn school on logic and constraint programming invites you to participate in this year?s school (September, 18-19, virtually in Calabria), co-located with ICLP. It promises to be an interesting session -- for students, as well as for more senior researchers -- in which Marc Denecker discusses the *informal semantics* of logic programs (is negation-as-failure actually classical?), Peter Stuckey takes on the role of Trojan horse, convincing us to use *Minizinc* instead of logic programming, Martin Gebser provides unique insights in the magic he uses for tackling *industrial applications* with answer set programming, and Elena Bellodi will probably talk about *probabilistic logic programming*. The courses will be run as a hybrid model in which the first two hours are thought live, and for the last two hours, a recording will be made available. The abstracts of these talks are included below. Registration is included in the ICLP registration and can be done via https://iclp2020.unical.it/registration (early bird registration ends at September 13th) The talks will be a mixture of live sessions and pre-recorded videos. More information will be made available on https://sites.google.com/view/iclp-dc-2020/autumn-school-on-logic-programming?authuser=0 Spread the word, and we hope to see you soon in virtual Calabria. Best regards, Daniela Inclezan, Gopal Gupta, and Bart Bogaerts -------------------------------- *Martin Gebser (Klagenfurt University): Applications of Answer Set Programming** **Abstract:* Answer Set Programming (ASP) is a paradigm of knowledge representation and reasoning that has become a popular means for declarative problem solving. The basic idea is to represent a complex application problem by a logic program such that specific interpretations, called answer sets, correspond to problem solutions. Powerful off-the-shelf ASP systems, such as clingo, dlv and idp, automate the problem solving process by first grounding a general problem encoding relative to an instance given by facts, and then performing Boolean constraint solving to compute (optimal) answer sets. The application areas of ASP include a variety of domains ranging from artificial intelligence, databases, mathematical and scientific fields to industrial use cases. For instance, the clingo system has been utilized for radio spectrum reallocation in the first-ever incentive auction conducted by the Federal Communications Commission, which in 2016 yielded about 20 billion dollars revenue. Likewise, the dlv system has been deployed as a core tool in enterprise software for e-medicine, e-tourism, intelligent call routing and workforce management. Last but not least, the idp system has been harnessed for interactive configuration in the banking sector. Starting from the expressive modeling language, this tutorial presents and illustrates central features making ASP attractive for solving application problems. We particularly demonstrate the proficient usage of optimization, which is of crucial importance in virtually all realistic settings. Beyond traditional single-shot solving, we also outline recent advancements in multi-shot solving, driving the application of ASP in dynamic areas like automated planning, robotics control and stream reasoning. *Marc Denecker (KU Leuven): On the? informal semantics of knowledge representation languages and the case of Logic Programming.** **Abstract:* The? informal semantics of a formal language aims to explain the ``intuitive'' meaning of the logical symbols, and of the formulas and theories of the language. In the context of a KR language, it aims to express the knowledge conveyed by formulas and theories about the application domain, in a precise and systematic way.? It is a controversial concept.? In formal science, one often? avoids to talk about such soft informal topics. For this reason, many may prefer to view? a (declarative) formal language as a tool to encode computational problems. In that view, the question of its informal ``intuitive'' semantics seems of no scientific relevance. Strictly speaking,? the meaning of negation as failure is not a scientific question here. In this course, we will view a formal KR language as a formal study of certain types of knowledge. The question of its informal semantics then becomes the corner stone of such a study, as it relates the formal entities (the formulas) to the informal objects that they intend to represent (the knowledge). The? scientific thesis of such a study?? is then that a formal semantics correctly formalizes the informal semantics. The course starts with some considerations on viewing a formal language as a? formal study of some forms of knowledge. The discussion is based on, a.o., Poppers ideas of formal science. The? goal of this discussion is to derive insights? needed to understand the current status of informal semantics? in Logic Programming, and instruments to analyze it. In the second part of the lecture, we apply the above ideas and instruments on Logic Programming. A brief historical overview is given on the topic of informal semantics.? Three main ideas for informal semantics were proposed: the Closed World Assumption by Ray Reiter, logic programs as definitions by Keith Clark, and the (auto)epistemic/default interpretation by Michael Gelfond. We then analyze these informal semantics using the instruments introduced in the first part: where these informal semantics agree and disagree, how they were formalized, how to interpret semantical objects, what is the meaning of negation and the rule operator in them and which informal semantics applies in the context of concrete examples. The last part of the lecture is devoted to (inductive) definitions and the definitional view of LP. We argue that it is the most precise and the most widely applicable. Definitions extend CWA but are more precise and more general. They are not equivalent with the epistemic view and neither subsumes the other. But there are more applications for definitions than for epistemic theories.? In the view of logic programs as definitions, we argue that negation is classical but the rule operator is not (which confirms what Clark suggested long ago). We recall Harel's critique on completion semantics for expressing inductive definitions, and give? the proof that in general, inductive definitions cannot be expressed? in FO. We discuss the integration of definitional knowledge with the knowledge representation paradigm of classical logic, as it was done in the logic FO(ID). We end with considering what the declarative view of a logic program as a definition can contribute in the view of LP as a programming language, as a query language and as a KR language. *Peter Stuckey (Monash University): MiniZinc for high-level solver-independent modelling** **Abstract: *In this tutorial we will introduce you to modelling discrete optimization problems using MiniZinc. MiniZinc allows you to model a discrete optimization problem without committing to a particular? solver or solver technology.? Thus you can avoid committing to the wrong solver technology to your problem. MiniZinc supports Constraint Programming, Mixed Integer Programming, Boolean SATisfiability, SAT Modulo Theories and Constraint-Based Local Search solvers. The tutorial will cover basic modelling, modelling viewpoints, and debugging models. The tutorial will involve a series of hands-on tasks using MiniZinc. *Elena Bellodi (University of Ferrara): Probabilistic Logic Programming** **Abstract:* Recently much work in Machine Learning has concentrated on representation languages able to combine aspects of logic and probability, in order to model domains characterized by both complex and uncertain relationships among entities. Machine Learning approaches based on such combinations have recently achieved important results, originating the fields of Statistical Relational Learning, Probabilistic Logic Programming and, more generally, Statistical Relational Artificial Intelligence. The course will concentrate on Probabilistic Logic Programming (PLP), which has received an increasing attention for its ability to incorporate probability in Logic Programming. Among various proposals for PLP, the one based on the distribution semantics has gained popularity being at the basis of many PLP languages. The course will describe syntax and semantics for the main PLP languages under the distribution semantics, and overview several systems for inference and learning. Then, it will provide an overview of hybrid Probabilistic Logic Programs, in which random variables may be both discrete and continuous. The course will present the main application areas and will include a hands-on experience with the PLP system cplint using the web application http://cplint.eu. -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Roderick.Murray-Smith at glasgow.ac.uk Mon Aug 31 09:38:31 2020 From: Roderick.Murray-Smith at glasgow.ac.uk (Roderick Murray-Smith) Date: Mon, 31 Aug 2020 13:38:31 +0000 Subject: Connectionists: PhD in Computing Science - Computational Intelligence for algorithmic support of teams in data-intensive contexts Message-ID: PhD in Computing Science - Computational Intelligence for algorithmic support of teams in data-intensive contexts A key challenge in data science and AI is how best to bring human insight, sophisticated analysis algorithms and large amounts of time-critical data. Many environments such as emergency or military services present a highly complex environment in which crews need to make potentially critical decisions relating to platform command and control, threat evaluation and interactions with other elements of the service. To make those decisions effectively they must be able to assimilate large quantities of information regarding their surroundings. Thales is involved in systems design for vehicles with rapidly increasing levels of sensor and information systems, designed to give crew improved situation awareness. Such systems require Sensor Fusion to combine data from multiple sources. They apply Information Management and Information Exploitation (IM/IX) to filter raw data into information that is useful to the crew and require Information Presentation to provide the information such that vehicle crews can make correct and timely decisions. This Ph.D. studentship between the University of Glasgow, Quantic and Thales Scotland will explore the topic of Human-Machine teaming in situations with time-sensitive decision making, cognitive and data overload and significant information uncertainty. The project will explore the use of machine learning and other AI techniques to help fuse multi-source information and provide decision support for a team of humans. Collaboration background Thales and the University are already working together in a project with QinetiQ and other industrial partners relating to how best to design information and control systems for vehicles in challenging urban environments. The student will have the opportunity to work with topics such as machine learning, sensor fusion algorithms and human-computer interaction. Thales will provide access to vehicle subsystems and data gathering tool sets. The Information, Data and Analysis Section of the University of Glasgow has wide-ranging skills in Machine learning, Computational Interaction Design and Vision systems, and is also part of the Quantum Imaging Hub, all of which are highly relevant for this task, so the student will have a range of skill sets and approaches to support them within the University. The work has Computational Interaction at its heart: Computational interaction applies computational thinking (abstraction, automation, analysis) to explain and enhance interaction between a user and a system. It is underpinned by modelling which admits formal reasoning, and which is amenable to computational approaches, and draws on insight from machine learning, signal processing, information theory, optimisation, Bayesian inference, control theory and formal modelling. This is an area the University of Glasgow has been leading development in, so the research brings together leading edge machine learning and developments in computational interaction to address challenging problems in human/data/algorithm interaction. Research structure The research will involve analysis of the team roles, the design of example artificial agents which will act as virtual team members, will track team member attention and behaviour to monitor whether they are currently performing appropriately, or whether data or cognitive overload is kicking in, and decide whether they need extra support. This could include: a) Dynamically changing degrees of freedom in sensing and control for different participants depending on their load, reducing the data flow to a level that is achievable in the current context. b) Dynamic approaches to transitioning between human and machine control in a team setting, such that algorithmic semi-autonomous agents take over certain tasks, to permit the human team members to focus on critical aspects. c) Use of Machine learning tools to analyse variability and uncertainty in information flows, with the goal of using this information to prioritise the most important and reliable information for decision makers. The work will be based around a number of mini-projects, together with colleagues at Thales, where adaptations of specific challenges associated with their ongoing projects are linked in to the ongoing fundamental research in the Ph.D. The student will be primarily based at the University, but is expected to spend time at the Thales offices in Glasgow appropriate to the project work scope, and which could include data gathering and experimentation. This will allow novel ideas to be tested in a context that is relevant to the company, and where the staff at Thales have strong benchmarks to compare the performance with. Students will gain experience of both academic research and industry. [X] Funding Notes Funding is available to cover tuition fees for UK/EU applicants for 3.5 years, as well as paying a stipend at the Research Council rate (estimated ?15,285 for Session 2020-21). This role will require Security Check (SC) Clearance. If not currently held it is expected that the post holder will undergo SC Clearance, please visit the UKSV website for further guidance. View Website How to Apply: Please refer to the following website for details on how to apply: http://www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree/. https://www.gla.ac.uk/study/applyonline/?CAREER=PGR&PLAN_CODES=G500A-7201 and please contact me directly on Roderick.Murray-Smith at glasgow.ac.uk Professor Roderick Murray-Smith Head of Section, Information, Data and Analysis Section, Inference, Dynamics and Interaction Research Group School of Computing Science University of Glasgow Phone: +44 141 330 4984 Web: http://www.dcs.gla.ac.uk/~rod An t-Ollamh Ruairidh Murray-Smith Ceannard Roinne, Roinn Fiosrachaidh, D?ta agus Anailis Buidheann Rannsachaidh air Oidheam, Dinimigeachd agus Eadar-obrachadh Sgoil Saidheans na Coimpiutaireachd Oilthigh Ghlaschu -------------- next part -------------- An HTML attachment was scrubbed... URL: From Roderick.Murray-Smith at glasgow.ac.uk Mon Aug 31 09:27:41 2020 From: Roderick.Murray-Smith at glasgow.ac.uk (Roderick Murray-Smith) Date: Mon, 31 Aug 2020 13:27:41 +0000 Subject: Connectionists: 4 academic vacancies at School of Computing Science at the University of Glasgow Message-ID: The School of Computing Science at the University of Glasgow is recruiting to 11 new academic positions https://www.gla.ac.uk/schools/computing/worldchangerswelcome/priorityareas/ 4 of which are in data science and might be of interest to this mailing list. The deadline for the data science posts is 16th September 2020. * 2 x Research & Teaching permanent academic positions https://www.jobs.ac.uk/job/CBF821/lecturer-senior-lecturer-reader-in-data-science (at Lecturer / Senior Lecturer / Reader, as appropriate to experience) Applications for the post are welcome in any research areas of Computing Science that complement the existing strengths in the School within the general area of Data Science of interest to the Section for Information, Data and Analytics. This includes topics such as Information Retrieval, Machine Learning, ML in Science, Fairness, Transparency & Explainability, Algorithmic Bias & Ethics, Vision systems, Computational Interaction, Conversational systems/agents, Knowledge Bases & NLP, Recommender Systems, Media & Data Science. * 2 x Learning & Teaching fixed contract posts https://www.jobs.ac.uk/job/CBF827/lecturer-in-data-science To contribute to the delivery of an excellent student experience by contributing to teaching, assessment and administration processes associated with undergraduate and postgraduate programmes and to undertake scholarship to enhance learning and teaching in the School of Science, in the area of Data Science. This will typically include strengths in Python, Pandas and database system skills, as well as data visualization and data manipulation. Experience with cloud-based systems would be beneficial. Applicants should have core Machine Learning practical and theoretical skills and, ideally, some advanced skills in ML, such as deep learning experience with Tensorflow or pyTorch and NLP. This is primarily a teaching-related post. Data science academics with an interest in a research and teaching post are recommended to apply for Vacancy ref: 040667 above instead. If you have any interest in these posts, please contact me on Roderick.Murray-Smith at glasgow.ac.uk , or apply directly. Professor Roderick Murray-Smith Head of Section, Information, Data and Analysis Section, Inference, Dynamics and Interaction Research Group School of Computing Science University of Glasgow Phone: +44 141 330 4984 Web: http://www.dcs.gla.ac.uk/~rod An t-Ollamh Ruairidh Murray-Smith Ceannard Roinne, Roinn Fiosrachaidh, D?ta agus Anailis Buidheann Rannsachaidh air Oidheam, Dinimigeachd agus Eadar-obrachadh Sgoil Saidheans na Coimpiutaireachd Oilthigh Ghlaschu -------------- next part -------------- An HTML attachment was scrubbed... URL: From macasal96 at gmail.com Mon Aug 31 11:26:22 2020 From: macasal96 at gmail.com (Miguel Casal Santiago) Date: Mon, 31 Aug 2020 17:26:22 +0200 Subject: Connectionists: NeuTouch Summer School Message-ID: <54FCE918-E725-48B3-A787-7E4690C5D724@gmail.com> The Horizon 2020 project Neutouch is glad to announce that the first summer school of the project about ?Touch for prosthetics? will be held online the 21 & 28 September and 5 & 12 October 2020. The school will have talks from cutting-edge professors and students in the field of touch, including topics such as neuromorphic engineering, brain-computer interfaces, computational neuroscience and machine learning, among others. We invite you to take a look at the program together with a small description of the talks in this link , where you can also subscribe for free. You can contact neutouchboard at gmail.com for doubts and requests Neutouch Editorial Board -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.soto at cs.uns.edu.ar Mon Aug 31 11:40:05 2020 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Mon, 31 Aug 2020 12:40:05 -0300 Subject: Connectionists: ACM IUI 2021: 2nd Call for papers 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 interdonatos at gmail.com Mon Aug 31 04:28:35 2020 From: interdonatos at gmail.com (Roberto Interdonato) Date: Mon, 31 Aug 2020 10:28:35 +0200 Subject: Connectionists: CfP - Soc2Net: 2nd International workshop on Modeling and mining Social-Media-driven Complex Networks @ ASONAM 2020 Message-ID: Soc2Net: 2nd International workshop on Modeling and Mining Social-Media-driven Complex Networks @ ASONAM 2020 Virtual Event: Due to the uncertainty about sanitary measures and travel restrictions, Soc2Net 2020 is planned fully online as a virtual event. http://events.dimes.unical.it/soc2net KEY DATES ---------------- Paper submission deadline: September 28, 2020 Acceptance notification: October 23, 2020 ____________________________ CONTEXT The growing availability of multi-faceted social media data gives rise to unprecedented opportunities for unveiling complex real-world online behaviors. This also supports the proliferation of complex network models where the expressive power of the graph-based relational structure is enhanced through exposing several types of features that are peculiar of the social media platforms. This workshop aims to explore innovative methods that are designed to improve our understanding of behaviors and relations underlying feature-rich networks built upon social media, here called social-media-driven complex networks. Exemplary network models of such kind include heterogeneous, multilayer/multiplex/multirelational networks, temporal, location-aware, and probabilistic networks, and any other type of data-driven network that can be inferred from social media data contexts. The aim of the Soc2Net workshop, that will be held as a virtual event in conjunction with The 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2020), is to bring together researchers and practitioners from around the world interested in 1) exploring different perspectives and approaches to mine social-media-driven complex networks, 2) analyzing user behavior and evolution in social-media-driven complex networks, and 3) building models and frameworks for evaluating the respective approaches. Authors are encouraged to evaluate their models, methods, metrics and algorithms on real-world social networks built upon publicly available datasets. We solicit interdisciplinary submissions focusing on topics of interest to different research communities, including social science, economics and digital humanities. TOPICS - Foundations of Learning and Mining in social-media-driven complex networks - Centrality and Ranking in social-media-driven complex networks - Community Detection in social-media-driven complex networks - Link Prediction in social-media-driven complex networks - Simplification/pruning/sampling of social-media-driven complex networks - User Behavior Modeling in social-media-driven complex networks - Influence propagation in social-media-driven complex networks - Reputation and Trust computing in social-media-driven complex networks - Embedding and Deep Learning in social-media-driven complex networks - Probabilistic and Uncertain social-media-driven complex networks - Time-evolving social-media-driven complex networks - Hypergraph-based modeling, analysis and learning problems - Cross-Domain problems in social-media-driven complex networks - Visualization of social-media-driven complex networks - Personalization and Recommendation in social-media-driven complex networks - Mobility in social-media-driven complex networks - Vertex similarity in multiplex and social-media-driven complex networks - Multiplex and social-media-driven complex networks evolution models - Multiplex network and dynamic network mining - Ensemble learning for social-media-driven complex networks mining - Pattern mining in social-media-driven complex networks SUBMISSION We welcome original contributions, including papers discussing ongoing research projects. Contributions can be of two types: either short position papers (2 to 3 pages including references) or full research papers (6 to 8 pages including references). Papers must follow the IEEE two-column template, in compliance to the main conference. Accepted contributions will be made available electronically through the CEUR Workshop Proceedings platform (http://ceur-ws.org). Authors of selected contributions will be invited to submit an extended version of their accepted paper (either type) to the Frontiers in Big Data journal (https://www.frontiersin.org/journals/big-data). SUBMISSION WEBSITE: https://easychair.org/conferences/?conf=soc2net KEY DATES Paper submission deadline: September 28, 2020 Acceptance notification: October 23, 2020 Final manuscripts due: October 30, 2020 PC-CHAIRS Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato at cirad.fr Sabrina Gaito, Universit? degli Studi di Milano, Italy, gaito at di.unimi.it Alessandra Sala, Nokia Bell Labs, Dublin, Ireland, alessandra.sala at nokia-bell-labs.com Andrea Tagarelli, University of Calabria, Italy, andrea.tagarelli at unical.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From mlsp at NEURO.KULEUVEN.BE Mon Aug 31 05:40:36 2020 From: mlsp at NEURO.KULEUVEN.BE (2020 IEEE International Workshop on Machine Learning fo Signal Processing) Date: Mon, 31 Aug 2020 11:40:36 +0200 Subject: Connectionists: IEEE International Workshop on Machine Learning for Signal Processing (September 21=?UTF-8?Q?=E2=80=9324=2C_?=online) Message-ID: <94b23e6f-de64-9237-28c1-4c787151407c@neuro.kuleuven.be> IEEE International Workshop on Machine Learning for Signal Processing (September 21?24 2020, online) The 30th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will take place at the Aalto University campus, Finland, but with a fully virtual program due to the pandemic, and present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, special and regular single-track sessions as well as matchmaking events. Invited speakers: Aki Vehtari (Aalto University) will give a tutorial on the Stan probabilistic programming language, Michael Unser (?cole polytechnique f?d?rale de Lausanne) a keynote on "Deep splines", Ole Winther (University of Copenhagen / Technical University of Denmark) on "Latent variable models from independent components to VAEs and flows", Mihaela van der Schaar (University of Cambridge) on "Machine learning: Changing the future of healthcare", and Razvan Pascanu (DeepMind) on "Improving learning efficiency for deep neural networks". The technical program includes 82 oral/poster presentations. Registration is **free of charge** and closes Sep 13. For full program and registration, seehttps://ieeemlsp.cc/ -------------- next part -------------- An HTML attachment was scrubbed... URL: