From ieao at colourfig.com Sat May 1 01:50:22 2021 From: ieao at colourfig.com (Ifedayo-Emmanuel Adeyefa-Olasupo) Date: Sat, 1 May 2021 05:50:22 +0000 Subject: Connectionists: Excellent platform for junior scholars looking for additional academic mentors and scholars looking for mentees Message-ID: Dear All, I would like to share with the community the mentor-mentee platform called Figbox: https://figbox.co/. Though the academic platform is still in its beta stage, it already allows junior scholars to find mentors around the world in their respective fields, willing to provide general advice on the following: thesis topics, experimental designs, publication, and more. It also allows junior scholars the ability to receive mock double-blind reviews of their working papers before they officially submit to a given journal. For those who are curious about the benefits of mentoring junior scholars, see: https://figbox.co/benefit/ Both mentors and mentees can sign up in under 20 seconds using their ORCID account. With best regards, Emmanuel -------------- next part -------------- An HTML attachment was scrubbed... URL: From li.zhaoping at tuebingen.mpg.de Sat May 1 06:22:29 2021 From: li.zhaoping at tuebingen.mpg.de (Li Zhaoping) Date: Sat, 1 May 2021 12:22:29 +0200 Subject: Connectionists: postdoc/Ph.D./other position in Zhaoping group in Tuebingen Germany In-Reply-To: <2f2e15b4-c27b-4d39-c816-f2a6e5afca1a@tuebingen.mpg.de> References: <2f2e15b4-c27b-4d39-c816-f2a6e5afca1a@tuebingen.mpg.de> Message-ID: <2bd5efa7-7cd1-302b-ee22-5486457143cc@tuebingen.mpg.de> We have the following positions open, lab engineer/technician https://webdav.tuebingen.mpg.de/agzl/data/LabEngineer_Technician_March21.pdf lab manager https://webdav.tuebingen.mpg.de/agzl/data/LabManager_March21.pdf Postdoc https://webdav.tuebingen.mpg.de/agzl/data/Postdoc_Psychophysics_March21.pdf Ph.D. https://webdav.tuebingen.mpg.de/agzl/data/PhD_Psychophysics_March21.pdf and other possibilities, see http://www.lizhaoping.org/jobs.html Positions are open until filled/or when funding is available, inquiries welcome. Li Zhaoping -------------- next part -------------- An HTML attachment was scrubbed... URL: From sias at sscc.fr Sat May 1 06:28:41 2021 From: sias at sscc.fr (Symposium IAS ) Date: Sat, 1 May 2021 12:28:41 +0200 Subject: Connectionists: [SIAS 2021, Extended deadline] Symposium on Intelligent and Autonomous Systems Message-ID: <01e801d73e74$ca2d16c0$5e874440$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Virtual. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture ? IAS modeling (formal models, SysML, UML, etc) ? Correct-by-construction in IAS ? MBSE, MDA and DDA for IAS ? Virtualization and digital twins for IAS ? Blockchains and decentralized architecture for IAS ? IAS smart Networking ? Communication protocols for IAS ? Edges, Fog, and Cloud in IAS ? Distributed database for IAS ? Web services for IAS ? Social aspects and human interaction in IAS IAS Analysis ? Artificial intelligence, deep learning, and machine learning in IAS ? Model checking and theorem proving for IAS ? Abstraction and compositional verification for IAS ? Optimization and SAT solvers for IAS ? Dynamic and static analysis for IAS ? Statistical analysis for IAS ? Testing for IAS ? Smart decision making in IAS ? Fog and edge computing for IAS IAS Assurance ? Security specification, requirements, and management in IAS ? Security in distributed IAS ? Modeling, analysis and detection of attacks in IAS ? Data mining for cybersecurity in IAS ? Security protocols for IAS ? Safety policies for IAS ? Safety reinforcement models in IAS ? Safety standard analysis for IAS ? Resilience metrics and models for IAS ? Resilience strategies and plans for IAS ? Recovery systems for IAS resiliency ? Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases ? Applications and Software Platforms for IAS ? IoT and CPS for IAS ? Smart cities ? IAS for industrial and production CPS ? Autonomous robots and vehicles ? Human-Robot Interaction ? Smart logistics (transportation, supply chain, etc) Important Dates ? Submission Date : 09th May,2021 ? Notification to Authors: 25 May, 2021 ? Camera Ready Submission: 4 June, 2021 Submission System ? https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From francesco.masulli at unige.it Sun May 2 10:56:14 2021 From: francesco.masulli at unige.it (Francesco Masulli) Date: Sun, 2 May 2021 16:56:14 +0200 Subject: Connectionists: Post-Doc position in Computational Intelligence at DIBRIS - Genova (Italy) Message-ID: <7fb44381-7aea-da15-c297-1783f4408561@unige.it> An one-year funded Post-Doc position ("Assegno di ricerca") on the Applications of Computational Intelligence is available at DIBRIS - University of Genoa, (Italy). The deadline for application is 26/05/2021 at 12.00 (Italian time) and the fellowship should start in Sept-Oct 2021. Required qualification: Machine learning, deep learning, computational intelligence; Implementation of deep learning algorithms on GPU architectures; Programming of embedded systems and edge AI. For more details see https://person.dibris.unige.it/masulli-francesco/ricerca/Post-Doc-in-Genoa2021.html From perusquia at ieee.org Sun May 2 21:22:44 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Mon, 3 May 2021 10:22:44 +0900 Subject: Connectionists: ACII21 - Last call for Tutorials Message-ID: ======================================================= Affective Computing and Intelligent Interaction (ACII) 2021 Call for Tutorial Proposals 28 Sep ? 1 Oct 2021, Virtual event http://www.acii-conf.net/2021/ ======================================================= The Conference series on Affective Computing and Intelligent Interaction (ACII) is the premier international forum for interdisciplinary research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. Affective Computing aims at the study and development of systems and devices that use emotion. The theme of the 2021 edition of the conference is ?Ethical Affective Computing? considering ethical uses, fairness, and bias in emotional AI. We encourage tutorial proposals which address topics of affective computing and intelligent interaction in introductory or advanced levels to complement the conference?s program. In general, tutorials may introduce an uprising issue to the related research discussed at ACII 2021, or reflect an overview of an important, but already established topic, both presented in an illustrative fashion. For this, we expect that the tutors focus on the state-of-the-art or the main ideas of the proposed topic rather than primarily on the presenters? own research interests. Tutorials oriented toward more applied aspects of affective computing and intelligent interaction are also welcome, such as the presentation of tools and methodologies common for the processing of affective data. The tutorials can be organised as either half-day (preferred) or full-day events and will take place at the same venue as the main conference. The proposals will be evaluated based on the impact, quality, interdisciplinary character, presentation format as well as the theme and relevance to the conference. Proposal Submission Instructions Tutorial proposals should not exceed 4 pages and have to be emailed to Shogo Okada and Guillaume Chanel. Please use ?[ACII2021] Tutorial Proposal? in the subject line. All proposals should be prepared in PDF providing the following information: - Tutorial Title - Duration: half-day, full-day Note: Half-day (3h) tutorials are preferred and are the common ACII tutorial format; Full-day (6h) tutorial proposals have to justify for the additional value - Presenter(s) Name and Affiliation - Contact Information of the Tutorial Organiser - Description of the Proposal (including a few relevant references and links to material useful for review) - Explanation of Relevance of the Proposed Tutorial - Description of Presentation Format and Style (several presenters, video conferencing, specific media, etc.) - Equipment required for the Tutorial - CV of Presenter(s) - Key Publications of Presenter(s) (especially on the Tutorial Topic) - Target Audience (e.g. early-stage or advanced researchers in the field, students, etc.) - Provided accompanying Material (specific requirements) - Other Considerations/Comments related to the Proposal or the Reviewing The tutorial organisers will take care of any specific requirements which are related to the tutorial such as specific handouts, mass storages, rights of distribution (material, handouts, etc.), copyrights, etc. **Important Dates** Tutorial Proposal Deadline: May 10, 2021 Tutorial Acceptance Notification: May 31, 2021 Tutorial day: September 28, 2021 Tutorial Contacts Please forward any questions about tutorial proposals to the tutorial chairs: Shogo Okada: [okada-s_at_jaist.ac.jp] Guillaume Chanel: [guillaume.chanel_at_unige.ch] -------------- next part -------------- An HTML attachment was scrubbed... URL: From tommasi.t at gmail.com Mon May 3 06:17:43 2021 From: tommasi.t at gmail.com (Tatiana Tommasi) Date: Mon, 3 May 2021 12:17:43 +0200 Subject: Connectionists: CALL FOR PARTICIPATION - Learning from Limited and Imperfect Data (L2ID) Challenges Message-ID: *Learning from Limited and Imperfect Data (L2ID) Challenges* In conjunction with the L2ID Workshop at CVPR 2021 June 20, 2021 (Full Day, Virtual Online) https://l2id.github.io/ ****************************** *CALL FOR PARTICIPATION* As part of the CVPR 2021 L2ID workshop, we have two sets of challenges on weakly supervised learning and multi-domain few-shot classification. We invite you to participate! Winners will be able to present their works during the workshop. *Localization* Check the rules at https://l2id.github.io/challenge_localization.html Track 1 - Weakly Supervised Semantic Segmentation This track targets on learning to perform object semantic segmentation using image-level annotations as supervision. Track 2 - Weakly supervised product detection and retrieval Given a photo containing multiple product instances and a user-provided description, the track aims to detect the boxes of each product and retrieve the correct single product image in the gallery. Track 3 - Weakly-supervised Object Localization This track targets on making the classification networks be equipped with the ability of object localization. Track 4 - High-resolution Human Parsing This track aims to recognize human parts within high-resolution images by learning with low-resolution ones. *Multi-Domain Few Shot Classification* Check the rules at https://l2id.github.io/challenge_classification.html Track 1 - Cross Domain, small scale This track calls for the development of cross-domain few-shot learning models starting from multiple sources and with no explicit label overlap between sources and target. Track 2 - Cross Domain, large scale In this track additional datasets to both source and target datasets have been added for participants with sufficient compute resources. In addition to the multiple sources, *multiple tasks* from which to draw source data or models are provided. Track 3 - Cross Domain, larger number of classes In this track, the ?wayness? of few-shot learning is increased, bringing it closer to semi-supervised learning. ****************************** *IMPORTANT DATES* Submission Deadline: May 14th Leaderboard Published / Invitations Sent: May 21th ****************************** *WORKSHOP ORGANIZERS:* Zsolt Kira (Georgia Tech, USA) Shuai (Kyle) Zheng (Dawnlight Technologies Inc, USA) Noel C. F. Codella (Microsoft, USA) Yunchao Wei (University of Technology Sydney, AU) Tatiana Tommasi (Politecnico di Torino, IT) Ming-Ming Cheng (Nankai University, CN) Judy Hoffman (Georgia Tech, USA) Antonio Torralba (MIT, USA) Xiaojuan Qi (University of Hong Kong, HK) Sadeep Jayasumana (Google, USA) Hang Zhao (MIT, USA) Liwei Wang (Chinese University of Hong Kong, HK) Yunhui Guo (UC Berkeley/ICSI, USA) Lin-Zhuo Chen (Nankai University, CN) -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Mon May 3 06:56:55 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Mon, 3 May 2021 12:56:55 +0200 Subject: Connectionists: Call for Papers -- 16th Conference on Computer Science and Intelligence Systems -- IEEE #52320 -- deadline 24.05.2021 In-Reply-To: <3908bd54-0cfb-cf6f-6b8a-796397ddd844@ibspan.waw.pl> References: <3908bd54-0cfb-cf6f-6b8a-796397ddd844@ibspan.waw.pl> Message-ID: <5053e9a0-6e1a-03fd-23bb-fb232da18725@amu.edu.pl> CALL FOR PAPERS 16th Conference on Computer Science and Intelligence Systems (FedCSIS?2021) Online, 2-5 September, 2021 www.fedcsis.org Strict submission deadline: May 24, 2021, 23:59:59 pm HST (no extensions) (FedCSIS IEEE conference number: #52320) *********************** COVID-19 Information ************************** While we have planned the 2021 conference to take place in Sofia, Bulgaria, slow progress in fighting the global pandemic has forced us to switch to the fully online mode. Therefore, we plan to organize FedCSIS 2022 in Sofia, and hope that by that time COVID will be over, and we will be able to meet in person. *********************************************************************** Please feel free to forward this announcement to your colleagues and associates who could be interested in it. KEY FACTS: expected Proceedings: IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 13 Technical Sessions in 5 Tracks; Doctoral Symposium; online conference; conference fee covers preparation of the proceedings volume. FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. It is technically sponsored by a number of IEEE units and other professional organizations (for the full list, see the conference site). The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and intelligence systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions, focused on their scientific and professional interests in computer science and intelligence systems. Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science, SCOPUS, DBLP and other indexing services. This already includes Proceedings of FedCSIS 2018 (we are awaiting the decision for the FedCSIS 2019 and 2020; we are told that, recently, WoS is experiencing unusual delays). Information about FedCSIS indexing / bibliometry / rankings can be found at: https://www.fedcsis.org/2021/indexation. FedCSIS TRACKS AND TECHNICAL SESSIONS The FedCSIS 2021 consists of five conference Tracks, hosting Technical Sessions: Track 1: Advanced Artificial Intelligence in Applications (16th Symposium AAIA'21) *Computational Optimization (14th Workshop WCO'21) Track 2: Computer Science & Systems (CSS'21) * Actors, Agents, Assistants, Avatars (1st Workshop 4A'21) * Computer Aspects of Numerical Algorithms (14th Workshop CANA'21) * Multimedia Applications and Processing (14th International Symposium MMAP'21) * Scalable Computing (12th Workshop WSC'21) Track 3: Network Systems and Applications (NSA'21) * Internet of Things - Enablers, Challenges and Applications (5th Workshop IoT-ECAW'21) * Cyber Security, Privacy and Trust (2nd International Forum NEMESIS'21) Track 4: Advances in Information Systems and Technologies (AIST'21) * Data Science in Health, Ecology and Commerce (3rd Special Session DSH'21) * Information Systems Management (16th Conference ISM'21) * Knowledge Acquisition and Management (27th Conference KAM'21) Track 5: Software, System and Service Engineering (S3E'21) * Cyber-Physical Systems (8th Workshop IWCPS-8) * Software Engineering (41th IEEE Workshop SEW-41) * Advances in Programming Languages (8th Workshop WAPL'21) Recent Advances in Information Technology (7th Doctoral Symposium DS?RAIT'21) KEYNOTE SPEAKERS * David Bader New Jersey Institute of Technology Keynote title: Solving Global Grand Challenges with High Performance Data Analytics * Rajkumar Buyya, Cloud Computing and Distributed Systems (CLOUDS) Lab, The University of Melbourne, Australia; and CEO, Manjrasoft Pvt Ltd, Melbourne, Australia Keynote title: Neoteric Frontiers in Cloud and Edge Computing * Hristo Djidjev Los Alamos National Laboratory Keynote title: Using quantum annealing for discrete optimization * Moshe Y. Vardi Rice University Keynote title: Lessons from COVID-19: Efficiency vs Resilience ZDZIS?AW PAWLAK BEST PAPER AWARD The Professor Zdzis?aw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Award (?300) ? Intergenerational Cooperation Award (?300) ? Industry Cooperation Award (?300) ? International Cooperation Award (?300) All papers accepted to FedCSIS are eligible to be considered as the award winners. This award will be awarded independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2021/zp_award PAPER SUBMISSION AND PUBLICATION + Papers should be submitted by May 24, 2021 (strict deadline, no extensions, submission system is open, via EasyChair https://easychair.org/my/conference?conf=fedcsis2021). + Preprints will be published online. + Only papers presented during the conference will be submitted to the IEEE for inclusion in the Xplore Digital Library. Furthermore, proceedings, published in a volume with ISBN, ISSN and DOI numbers, will be posted within the conference Web portal. Moreover, most Technical Session organizers arrange quality journals, edited volumes, etc., and may invite selected extended and revised papers for post-conference publications (information can be found at the websites of individual events, or by contacting Chairs of said events). IMPORTANT DATES + Paper submission (strict deadline): May 24, 2021, 23:59:59 (UCT-12; there will be no extension) + Position paper submission: June 14, 2021 + Author notification: July 5, 2021 + Final paper submission and registration: July 26, 2021 + Conference date: September 2-5, 2021 CHAIRS OF FedCSIS CONFERENCE SERIES Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki CONTACT FedCSIS at: secretariat at fedcsis.org FedCSIS in Social Media: FedCSIS on Facebook: http://tinyurl.com/FedCSISFacebook FedCSIS on LinkedIN: https://tinyurl.com/FedCSISonLinkedIN FedCSIS on Twitter: https://twitter.com/FedCSIS FedCSIS on XING: http://preview.tinyurl.com/FedCSISonXING -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From ashutosh at coli.uni-sb.de Mon May 3 06:26:50 2021 From: ashutosh at coli.uni-sb.de (Ashutosh Modi) Date: Mon, 3 May 2021 15:56:50 +0530 Subject: Connectionists: Symposium on Artificial Intelligence and Law (SAIL) Message-ID: APOLOGIES FOR CROSS-POSTING Dear all, We are organizing a virtual Symposium on Artificial Intelligence and Law (SAIL) on 31 May - 04 June, 2021 (https://sites.google.com/view/sail-2021/ ) CALL FOR PARTICIPATION The Symposium on Artificial Intelligence and Law (SAIL) aims to bring together experts from Industry and Academia to discuss the future of AI and Law. The Symposium aims to provide a venue for academic and industrial/governmental AI-Law researchers and law professionals to come together, present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from applications of AI in the Legal Domain. The Symposium is organized by Computer Science and AI researchers from IIT Kharagpur, IIT Kanpur, IISER Kolkata, TCG CREST (all from India) and CSIRO Australia, and Law researchers from the WB National University of Juridical Sciences (WBNUJS) and Vidhi Centre for Legal Policy, India. Details of organizers can be found on the website. == Invited talks == The symposium will have invited talks from eminent Law-AI researchers from both academia and industry (details available on the symposium website): * Kevin Ashley -- Professor of Law and Intelligent Systems, University of Pittsburgh, USA * Maura Grossman -- Professor, University of Waterloo; Adjunct Professor at Osgoode Hall Law School, USA * Jack G. Conrad -- Director and Lead Researcher, Center for AI and Cognitive Computing, Thomson Reuters, USA * Lyria Bennett Moses -- Director of the Allens Hub for Technology, Law and Innovation; Professor in the Faculty of Law and Justice at UNSW Sydney, Australia * Christoph Sorge -- Professor of Legal Informatics, University of Saarland, Germany * Dave Lewis -- Executive Vice President for AI Research and Ethics at Reveal-Brainspace, USA * Adam Wyner -- Faculty of Law and Computer Science, Hillary Rodham Clinton School of Law, Swansea University, UK * Guido Governatori -- Group Leader, Software Systems Research Group, CSIRO, Australia * Sachin Kumar -- Senior Data Scientist at LexisNexis, Raleigh, North Carolina, USA * Arthur Dyevre -- Faculty of Empirical Jurisprudence, KU Leuven, Belgium * Shiri Krebs -- Faculty, Deakin Law School, Australia * Suzan Verberne -- Group leader of Text Mining & Retrieval, Leiden University, Netherlands * Angshuman Hazarika -- Faculty, IIM Ranchi, India; Doctor of Law, Saarland Uni, Germany * Matthias Grabmair -- Faculty, LegalTech, TU Munich, Germany; Adjunct Professor, CMU LTI * Sshubham Joshi -- Founder, Lawnics, India == Panel Discussions == The symposium will have panel discussions on the future of AI and Law, with a special focus on the Law-AI scenario in India. Details will be uploaded on the website. == Participation == The symposium will be fully online. Anyone interested in Law or the application of AI in the legal domain is welcome to attend. Participation is free of cost, but prior registration is necessary. Interested participants need to register themselves on the symposium website https://sites.google.com/view/sail-2021/ (under the "Participate" tab). Best, Ashutosh Modi (https://www.cse.iitk.ac.in/users/ashutoshm/ ) Co-Organizer SAIL -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefanos at cs.ntua.gr Mon May 3 06:53:33 2021 From: stefanos at cs.ntua.gr (stefanos) Date: Mon, 03 May 2021 13:53:33 +0300 Subject: Connectionists: (CfP) ICCV 2021 Workshop and Competition: MIA-COV19D Message-ID: <27a799c5cb848a5368875702be5a939b@cs.ntua.gr> (CfP) ICCV 2021 Workshop and Competition: MIA-COV19D The Workshop "AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (MIA-COV19D)" will be held in conjunction with the International Conference on Computer Vision (ICCV) 2021 in Montreal, Canada, October 11- 17, 2021. Please visit the workshop & competition page at https://mlearn.lincoln.ac.uk/mia-cov19d/ For any requests or enquiries, please contact: stefanos at cs.ntua.gr Organizers: * Stefanos Kollias, National Technical University of Athens * Xujiong Ye, University of Lincoln * Luc Bidaut. University of Lincoln * Francesco Rundo, STMicroelectronics ADG--Central R&D * Dimitrios Kollias, University of Greenwich * Giuseppe Banna, Portsmouth Hospitals Univ. NHS Trust Call for Papers: * _ AI-enabled Medical Image Analysis (MIA) Workshop_ AI-enabled Medical Image Analysis (MIA) Workshop will emphasize on radiological quantitative image analysis for diagnosis of diseases. Our focus is placed on Artificial Intelligence (AI), Machine and Deep Learning (ML, DL) approaches that target effective and adaptive diagnosis, as well as on approaches that enforce trustworthiness and create justifications of the decision making process. Important Dates: July 19, 2021: Paper submission deadline; Start of review period August 6, 2021: End of review period August 10, 2021: Review decisions sent to authors; Notification of acceptance August 17, 2021: Camera ready version deadline The peer review process for the papers will be double blind, with at least two distinct reviews per submission, and will follow ICCV standards and policies. The accepted papers will be published in the ICCV proceedings. All submissions must adhere to ICCV style, format and length restrictions. * _ COVID19 Competition_ COV19D Competition is based on a new large database of chest CT scan series that is manually annotated for Covid-19/non-Covid-19 diagnosis. The training and validation partitions along with their annotations will be provided to the participating teams to develop AI/ML/DL models for Covid-19/non-Covid-19 prediction. Performance of approaches will be evaluated on the test set. Important Dates: May 3, 2021: Opening of Competition; start of registration of research groups; provision of training and validation datasets, of respective annotations and of the baseline approach July 5, 2021: Final submission deadline (Results, Code and ArXiv paper) July 6, 2021: Winners announcement There will be one Competition winning team. The top-3 performing teams are expected to contribute a paper describing their approach and results to the MIA Workshop. All other teams will be able to submit a paper describing their solutions and final results to the MIA Workshop. For registration and further information,please contact D.Kollias at greenwich.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From salvador.limalopez at gmail.com Mon May 3 07:39:51 2021 From: salvador.limalopez at gmail.com (Salvador Lima) Date: Mon, 3 May 2021 13:39:51 +0200 Subject: Connectionists: [CFP] MEDDOPROF Shared Task: Occupation detection and normalization in Spanish clinical documents Message-ID: Taking advantage of the fact that the past May 1st was the International Workers' Day, we want to share the CFP of the MEDDOPROF shared task, focused on professions and employment statuses in health data. MEDDOPROF Shared Task (IberLEF - SEPLN 2021) Medical Documents Profession Recognition shared task https://temu.bsc.es/meddoprof/ MEDDOPROF Cup Awards by BSC-Plan TL [3,000?] We are organizing the first shared task focusing on automatic recognition of professions and occupational status (and normalization to standard multilingual terminologies) in medical documents. The relevance of text mining of professions and occupational status encompasses multiple human-interest areas, from health and social services, competitive intelligence, human resources, legal NLP and even gender studies. The need to implement advanced NER systems to detect professions in medical texts has been underscored by the current pandemic, in which the risk of selected occupational groups has resulted in higher mortality and morbidity for these segments of the population. The relationships between disorders and professions may be explained by different factors like increased contact/exposure to hazardous substances, allergens or pathogens; physical injuries due to occupational accidents; higher degrees of social interaction of some professions, or even work-related conditions affecting mental health, just to name a few. Additionally, targeted vaccination plans also benefit from better characterization of patient professions. Following the success of previously organized shared tasks (i.e. Cantemist, PharmaCoNER, or Meddocan), we are now launching the MEDDOPROF shared task as part of the IberLEF 2021 evaluation initiative (co-located with SEPLN 2021), with the following sub-tracks: MEDDOPROF-NER: automatic detection of mentions of occupations (profession, employment status and activities). MEDDOPROF-CLASS: finding mentions of occupations and classifying them, whether they refer to the patients themselves, their family members or healthcare professionals. MEDDOPROF-NORM: mapping detected occupation mentions to their corresponding concept identifiers from standard multilingual occupation terminologies (ESCO and SNOMED-CT). Key information: MEDDOPROF web: https://temu.bsc.es/meddoprof/ Data: https://doi.org/10.5281/zenodo.4694768 Annotation guidelines: https://doi.org/10.5281/zenodo.4694675 Registration: https://temu.bsc.es/meddoprof/registration Google Group for updates: https://groups.google.com/g/meddoprof-shared-task Schedule Test set release (start of evaluation period): June 1st, 2021 End of evaluation period (system submissions): June 7th, 2021 Working papers submission: June 21st, 2021 Notification of acceptance (peer-reviews): June 27th, 2021 Camera-ready system descriptions: July 4th, 2021 IberLEF @ SEPLN 2021: September 2021 Publications and IBERLEF/SEPLN2021 workshop Teams participating in MEDDOPROF will be invited to contribute a systems description paper for the IberLEF (SEPLN 2021) Working Notes proceedings, and a short presentation of their approach at the IberLEF 2021 workshop. Main Organizers - Martin Krallinger, Barcelona Supercomputing Center, Spain - Eul?lia Farr?, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Vicent Briva-Iglesias, D-REAL, Dublin City University, Ireland - Antonio Miranda-Escalada, Barcelona Supercomputing Center, Spain Scientific Committee - Sophia Ananadiou, Department of Computer Science, University of Manchester, UK - Josep Maria Haro Abad, Institut de Recerca Sant Joan de D?u - Goran Nenadic, Department of Computer Science, University of Manchester, UK - Aur?lie N?v?ol, LIMSI-CNRS, Universit? Paris-Sud, France - ?ystein Nytr?, Department of Computer and Information Science, Norges Teknisk-Naturvitenskapelige Universitet (NTNU) - Carlos Luis Parra Calder?n, Head of Technological Innovation at Virgen del Roc?o University Hospital, Institute of Biomedicine of Seville, Spain - Francisco Javier Sanz Valero, Escuela Nacional de Medicina del Trabajo, Instituto de Salud Carlos III, Spain - Ashish Tendulkar, Machine Learning Specialist at Google - Michelle Turner, Assistant Research Professor at Barcelona Institute for Global Health, Secretary-Treasurer International Society for Environmental Epidemiology (ISEE) - Ozlem Uzuner, George Mason University - Alfonso Valencia Herrera, Barcelona Supercomputing Center (BSC-CNS), Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From rbianchi at fei.edu.br Mon May 3 14:08:11 2021 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Mon, 3 May 2021 18:08:11 +0000 Subject: Connectionists: Call For Papers - 10th Brazilian Conference on Intelligent Systems - LNCS/LNAI Message-ID: Call For Papers 10th Brazilian Conference on Intelligent Systems (BRACIS) http://c4ai.inova.usp.br/bracis/ Online Event November 29 - December 03, 2021 >>>> Deadline for paper submissions: May 31, 2021 <<<< >>>> CALL FOR PAPERS <<<< The Program Committee of the 10th Brazilian Conference on Intelligent System (BRACIS) invites submissions of original research papers for the conference from November 29th to December 3th, 2021. Due to the COVID pandemic and the sanitary and economical related issues, the conference will be held online. BRACIS 2021 will be organized by C4AI Center for Artificial Intelligence (https://c4ai.inova.usp.br/). BRACIS is the most important event in Brazil for researchers in the fields of Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most traditional scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (21 editions ), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). The conference aims to promote theory and applications of Artificial and Computational Intelligence. BRACIS also aims for the promotion of international level research by exchanging scientific ideas among researchers, practitioners, scientists, and engineers. IMPORTANT DATES - Paper submission - May 31, 2021 - Notification to authors - July 30, 2021 - Camera-ready copy due - August 19, 2021 SPECIAL ISSUES Authors of selected papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference. SUBMISSION DETAILS *** Please, note that BRACIS submission is double-blind *** This means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI). Submission format Submitted papers must be written in English, and not exceed 15 pages, including all tables, figures, references, and appendices. Formatting instructions, as well as templates for Word and LaTeX, are available at Conference Proceedings guidelines. Springer?s proceedings LaTeX templates are also available in Overleaf . All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings, and submitted for publication in Springer in Lecture Notes in Computer Science (LNCS) / Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded in the submission system. [https://lh4.googleusercontent.com/xwaxllhOIN13dQFkte-nagMpMdx47tP-Nhb_5Nqfr2_kJ4RcJ6MpbAX4KU2bIVK2aBopgDsrs0MY-C9Mjct3-TKepGjXDwrH2fX3Fa174njQgnqkt6wIRnebKVZgmuG5HBCig2Km] SUBMISSION SYSTEM JEMS - Journal and Event Management System https://jems.sbc.org.br/jems2/ TOPICS OF INTEREST Topics of interest include (but are not restricted to): * Agent-based and Multi-Agent Systems * AI in Emerging Countries: Public Policies and the Future of Work * Bioinformatics and Biomedical Engineering * Cognitive Modeling and Human Interaction * Combinatorial and Numerical Optimization * Computer Vision * Constraints and Search * Decision Making in Food Production Networks * Deep Learning * Distributed AI * Education * Evolutionary Computation and Metaheuristics * Forecasting * Foundations of AI * Fuzzy Systems * Game Playing and Intelligent Interactive Entertainment * Graph-Oriented Machine Learning * Hybrid Systems * Information Retrieval, Integration, and Extraction * Intelligent Robotics * Knowledge-Enhanced Machine Learning * Knowledge Representation and Reasoning (including Commonsense Reasoning, Model-Based Reasoning, Probabilistic Reasoning, Approximate Reasoning) * Knowledge Representation and Reasoning in Ontologies and the Semantic Web * Logic-based Knowledge Representation and Reasoning * Machine Learning and Data Mining * Machine Learning for Medical Diagnosis * Meta-learning * Molecular and Quantum Computing * Multidisciplinary AI and CI * Natural Language Processing * Natural Language Processing in Portuguese * Neural Networks * Pattern Recognition and Cluster Analysis * Planning and Scheduling * Reinforcement Learning GENERAL CHAIR Reinaldo A. C. Bianchi, Centro Universit?rio FEI and C4AI Zhao Liang, Universidade de S?o Paulo (USP) and C4AI PROGRAM CHAIRS: Andr? Britto, Universidade Federal de Sergipe (UFS) (andre at dcomp.ufs.br) Karina Valdivia Delgado, Universidade de S?o Paulo (USP) (kvd at usp.br) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Mon May 3 11:08:17 2021 From: Pavis at iit.it (Pavis) Date: Mon, 3 May 2021 15:08:17 +0000 Subject: Connectionists: 2 Postdoc positions on Computer Vision for scene understanding and social behaviour analysis (2100002Z) In-Reply-To: <2a35c2af7a464d2090bcee1a8ee9ab2f@iit.it> References: <2a35c2af7a464d2090bcee1a8ee9ab2f@iit.it> Message-ID: 2 Postdoc positions on Computer Vision for scene understanding and social behaviour analysis (2100002Z) Istituto Italiano di Tecnologia, Genova, Italy The Pattern Analysis and Computer Vision (PAVIS, https://pavis.iit.it) Research Line at Fondazione Istituto Italiano di Tecnologia - IIT invites qualified candidates to submit their applications for two Postdoc positions in Genoa, Italy under the supervision of Dr. Alessio Del Bue. PAVIS mission is to research and deploy novel Artificial Intelligence (AI) systems to understand our 3D physical space and the human behaviours within it. The aim is to create assistive AI systems that can automatically react and support humans in their daily life by analysing and forecasting activities and their interaction with the environment. We work towards this goal by developing new Computer Vision and Machine (Deep) Learning methodologies that can be readily applied in realistic applications. PAVIS collaborates in EU-funded international research projects, as well with industrial partners. Join a team of 30 international Researchers, Postdocs, Ph.D. and Engineers that enjoy working in cutting-edge Computer Vision and Machine Learning research topics. PAVIS infrastructure comprises a multi-modal sensor network (RGB, depth, event-based, thermal, lidar cameras) used for deploying AI systems for scene understanding and behavioural analysis and the availability of an HPC with 62 GPU nodes to run large scale training and deployment of ML models. Research Topics: - Object 3D localization from multi-modal sensors; - Estimation of human proxemics and behaviours from cameras; - 2D/3D scene understanding using Graph Neural Networks; - Integrating deep learning models with multi-view geometry reasoning; - Semantic Simultaneous Localization and Mapping and Structure from Motion; - Retrieval and Knowledge-based Computer Vision. Requirements: - PhD degree in Computer Vision, Machine Learning, Robotics or related fields; - Relevant scientific track record on major computer vision conferences/journals (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.); - Experience in Deep Learning and GNN in particular; - Good communication skills and ability to cooperate; - Proficient in English language (written and oral). Desired but not compulsory: - Experience in multi-view geometry, 3D vision and scene understanding; - Experience in tracking, multiple object detection and matching; - Experience in deploying models on HPC platforms; - Experience in collaborative software development; - Good knowledge of tools like GIT and object-oriented programming languages like Python and/or C/C++; - Experience in Linux operating system and familiarity with deep learning libraries and dependencies (CUDA, Pytorch, Pytorch3D, Tensorflow, Tensorflow3D). Interested applicants should submit their application in electronic form at https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2100002Z The requested documentation includes: a detailed curriculum vitae outlining experience and qualifications, a cover letter explaining your interest in PAVIS and your research interests, publication list or Google Scholar profile, names and contact details of 2 referees (Deadline May 12th, 2021). The successful candidate will be offered a highly competitive salary which will be commensurate with qualifications and experience. 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. We inform you that the information you provide will be used solely for the purposes of evaluating and selecting professional profiles in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo[at]iit.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.dorrn at fz-juelich.de Mon May 3 10:13:06 2021 From: a.dorrn at fz-juelich.de (Anja Dorrn) Date: Mon, 3 May 2021 16:13:06 +0200 Subject: Connectionists: Bernstein Conference 2021 - Submission of Satellite Workshop Proposals - Deadline approaching on May 10 Message-ID: <01b7fde1-8887-6ec1-f763-ce749b682afc@fz-juelich.de> The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops at the online Bernstein Conference 2021 ____ BERNSTEIN CONFERENCE 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. Due to the ongoing pandemic the Bernstein Conference will be held online, from Sep 21-23, 2021. www.bernstein-conference.de ____ IMPORTANT DATES - Satellite Workshops: September 21, 2021, 2 pm ? 10 pm CEST - Main Conference: September 22-23, 2021 - Deadline for Satellite Workshop proposal submission: May 10, 2021 - Notification of workshop acceptance: planned in June 2021 ____ WORKSHOP PROPOSALS Satellite Workshops of the Bernstein Conference provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a series of talks. The Workshop Selection Committee will take scientific excellence, topical relevance gender diversity and variety of career levels into account as their selection criteria. Workshop proposals are welcome as flexible formats of 4-8 hours (all workshops will start at 2 pm CEST, but will end based on individual schedules) Workshop Proposal Forms can be downloaded here: https://bit.ly/BC21_workshops Please submit the completed form to bernstein.conference at fz-juelich.de Deadline: May 10, 2021 ? not to be extended Workshop organizers and all speakers will receive a waiver for the online conference. ____ WORKSHOP SELECTION COMMITTEE Marion Silies (Workshop Chair) Moritz Helias (Workshop Vice Chair) Matthew Botvinick Megan Carey Peter Dayan Brent Doiron Rainer Friedrich Julijana Gjiorgjieva (Program Chair) Ann Hermundstad Christian Machens (Program Vice Chair) Srdjan Ostojic Nathalie Rochefort Nicole Rust Gasper Tkacik ____ For any further questions, please contact: bernstein.conference at fz-juelich.de -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 web: www.bernstein-network.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From pokornam at cs.cas.cz Mon May 3 10:49:00 2021 From: pokornam at cs.cas.cz (pokornam) Date: Mon, 03 May 2021 16:49:00 +0200 Subject: Connectionists: Research Fellow / Postdoc positions in Complex Networks and Brain Dynamics Message-ID: We are looking for new team members to join the Complex Networks and Brain Dynamics group to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group at http://cobra.cs.cas.cz/. For details about the positions please see: https://www.cs.cas.cz/job-offer/COBRA-postdoc-positions-Hlinka3/cs Informal inquires can be sent to the group leader Ing. Mgr. Jaroslav Hlinka, Ph.D., hlinka at cs.cas.cz Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic From samuel.kaski at aalto.fi Mon May 3 11:32:51 2021 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Mon, 3 May 2021 15:32:51 +0000 Subject: Connectionists: 2 Senior Lecturer / Lecturer (Asst Prof) Positions in Machine Learning in Manchester, UK Message-ID: <833A9AB0-F5CD-47DA-9AB7-A1755F6D99A5@aalto.fi> 2 Senior Lecturer / Lecturer (Asst Prof) Positions in Machine Learning in Manchester, UK https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=20016 Now is the time to join the University of Manchester when it is significantly boosting its activities in Machine Learning. The University of Manchester is making a strategic investment in fundamentals of AI, to complement its existing strengths in AI applications across several prominent research fields in the University, which give high-profile application and collaboration opportunities for the outcomes of fundamental AI research. The university is one of the most active partners of the national Alan Turing Institute, hosts 27 Turing Fellows and Fellows of the European Laboratory of Learning and Intelligent Systems ELLIS. The university?s ambition is to establish a leading AI centre at the cross section of these opportunities. The university has recently appointed three AI Chairs, and these two lectureships are the first in a series of additional positions in establishing a new Centre for Fundamental AI research. Applications are welcome in any area of machine learning, in particular probabilistic modelling, deep learning, reinforcement learning, causal modelling, human-in-the-loop ML, explainable AI, ethics, privacy and security.These positions are meant to contribute to machine learning methodologies and not only to their applications, but note that applications of ML are highly valued within the University. You are expected to be interested in building your career by contributing to the new centre and exploring collaboration opportunities in both methods and applications in the university, in addition to building international networks. You will be located in the Department of Computer Science and, in addition to the new centre for Fundamental AI research, you will belong to a large community of machine learning, data science and AI researchers. The university takes pride in its ability to collaborate seamlessly across its departments, schools and faculties. Some of the most useful links include the Alan Turing Institute, ELLIS, the Institute for Data Science and Artificial Intelligence, and the new Pankhurst Institute for Health Technology. DL May 19, 2021 More information: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=20016 ? From nnavarin at math.unipd.it Mon May 3 11:18:58 2021 From: nnavarin at math.unipd.it (=?utf-8?Q?Nicol=C3=B2_Navarin?=) Date: Mon, 3 May 2021 17:18:58 +0200 Subject: Connectionists: [ESANN 2021 SS CFP - Deadline approaching] Complex Data: Learning Trustworthily, Automatically, and with Guarantees Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Complex Data: Learning Trustworthily, Automatically, and with Guarantees" at ESANN 2021 - https://www.esann.org/special-sessions European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021). 6-8 October 2021, Bruges, Belgium - http://www.esann.org DESCRIPTION: Machine Learning (ML) achievements enabled automatic extraction of actionable information from data in a wide range of decision-making scenarios (e.g. health care, cybersecurity, and education). ML models are nowadays ubiquitous pushing even further the process of digitalization and datafication of the real and digital world producing more and more complex and interrelated data. This demands for improving both ML technical aspects (e.g. design and automation) and human-related metrics (e.g. fairness, robustness, privacy, and explainability), with performance guarantees at both levels. The aforementioned scenario posed three main challenges: (i) Learning from Complex Data (i.e. sequence, tree and graph data), (ii) Learning Trustworthily, and (iii) Learning Automatically with Guarantees. The scope of this special session is then to address one or more of these challenges with the final goal of Learning Trustworthily, Automatically, and with Guarantees from Complex Data. The focus of this special session is to attract both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations between the different fields of machine learning and other fields of research in solving real world problems. Both theoretical and practical results are welcome to our special session. TOPICS OF INTEREST: - efficient and effective models capable of directly learning from data natively structured or collected from interrelated heterogeneous sources (e.g. social and relational data, knowledge graphs), characterized by entities, attributes, and relationships, without relying on human skills to encode this complexity into a rich and expressive (vectorial) representation; - design ML models from a human-centered perspective, making ML trustworthy by design, by removing human biases from the data (e.g. gender discrimination), increasing robustness (e.g. to adversarial data perturbation), preserving individuals? privacy (e.g. protecting ML models from differential attacks), and increasing transparency (e.g. via ML models and output explanation); - automatizing the ML design and deployment parts which are currently handcrafted by highly skilled and trained specialists. For this reason, ML is required to be empowered with self-tuning properties (e.g. architecture and hyperparameter automatic selection), understanding and guaranteeing the final performance (e.g. with worst case and statistical bounds) with respect to both technical and human relevant metrics. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6 Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: Submission of papers: 10 May 2021 Notification of acceptance: 20 July 2021 ESANN conference: 6-8 April 2021 SPECIAL SESSION ORGANISERS: Luca Oneto, University of Genoa (Italy) Nicol? Navarin, University of Padua (Italy) Battista Biggio, University of Cagliari (Italy) Federico Errica, University of Pisa (Italy) Alessio Micheli, University of Pisa (Italy) Franco Scarselli, University of Siena (Italy) Monica Bianchini, University of Siena (Italy) Alessandro Sperduti, University of Padua (Italy) ? Nicol? Navarin, PhD Assistant Professor University of Padova - Department of Mathematics via Trieste 63, 35121 Padova - Italy Office: 416 Tel. +39 049 8271427 E-mail: ?nnavarin at math.unipd.it Web: http://www.math.unipd.it/~nnavarin CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From gracewlindsay at gmail.com Mon May 3 12:25:52 2021 From: gracewlindsay at gmail.com (Grace Lindsay) Date: Mon, 3 May 2021 17:25:52 +0100 Subject: Connectionists: New Book: Models of the Mind: How physics, mathematics, and engineering have shaped our understanding of the brain Message-ID: *Models of the Mind: How physics, mathematics, and engineering have shaped our understanding of the brain* by Grace Lindsay Models of the Mind is a popular science book that covers the history and present of computational neuroscience. Each chapter focuses on an individual topic ranging from single neuron models (e.g., leaky integrate-and-fire and Hodgkin-Huxley) through to population models such as the Hopfield Network and onto models of behavior. The book is geared toward a general audience and may be a useful resource for undergraduate courses. More information on the book and how to get it here: https://gracewlindsay.com/2021/02/10/models-of-the-mind-how-physics-engineering-and-mathematics-have-shaped-our-understanding-of-the-brain/ What reviewers have said: "This book is an anthology of the scientific poetry that has illuminated our studies and conceptions of the brain" - Larry Abbott "An engrossing history of science and enlightening guide to neuroscience's current frontiers." - Liam Drew "Grace Lindsay provides a masterful tour of this important frontier, tackling intimidating topics with verve and wit." - Sean Carroll -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Mon May 3 23:05:28 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Tue, 4 May 2021 11:05:28 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021 - Call for Doctoral Consortium Contributions Message-ID: <830f4a3.1a51.1793556728d.Coremail.jiangdm@nwpu.edu.cn> Doctoral Consortium - Call for Contributions *************************************** ACM ICMI 2021: Call for Doctoral Consortium Calls https://icmi.acm.org/2021/index.php?id=cfdc 18-22 Oct 2021, Montreal, Canada *************************************** The goal of the ACM ICMI Doctoral Consortium (DC) is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in designing and developing multimodal interfaces and interaction. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of designing and developing multimodal interfaces. We expect to provide economic support to most attendees that will cover part of their costs (travel, registration, meals etc.). Who should apply? While we encourage applications from students at any stage of doctoral training, the doctoral consortium will benefit most the students who are in the process of forming or developing their doctoral research. These students will have passed their qualifiers or have completed the majority of their coursework, will be planning or developing their dissertation research, and will not be very close to completing their dissertation research. Students from any PhD granting institution whose research falls within designing and developing multimodal interfaces and interaction are encouraged to apply. Why should you attend? The DC provides an opportunity to build a social network that includes the cohort of DC students, senior students, recent graduates, and senior mentors. Not only is this an opportunity to get feedback on research directions, it is also an opportunity to learn more about the process and to understand what comes next. We aim to connect you with a mentor who will give specific feedback on your research and whom you can talk to during lunch. We specifically aim to create an informal setting where students feel supported in their professional development. Agenda: 09:00 - 09:30: Invited talk 09:30 - 11:00: DC talks 1 11:00 - 11:30: Coffee break 11:30 - 13:00: DC talks 2 13:00 - 14:30: Lunch mentoring session 14:30 - 15:15: Panel discussion (senior PhD students and recent graduates) 15:15 - 15:45: Coffee break 15:45 - 17:00: Table discussions (small group discussions about topics of interest) Submission Guidelines: Graduate students pursuing a PhD degree in a field related to designing multimodal interfaces should submit the following materials: 1. Extended Abstract: A four-page description of your PhD research plan and progress in the ACM SigConf format. Your extended abstract should follow the same outline, details, and format of the ICMI short papers. The submissions will not be anonymous. In particular, it should cover: - The key research questions and motivation of your research; - Background and related work that informs your research; - A statement of hypotheses or a description of the scope of the technical problem; - Your research plan, outlining stages of system development or series of studies; - The research approach and methodology; - Your results to date (if any) and a description of remaining work; - A statement of research contributions to date (if any) and expected contributions of your PhD work; 2. Advisor Letter: A one-page letter of nomination from the student's PhD advisor. This letter is not a letter of support. Instead, it should focus on the student's PhD plan and how the Doctoral Consortium event might contribute to the student's PhD training and research. 3. CV: A two-page curriculum vitae of the student. All materials should be prepared in PDF format and submitted through the ICMI submission system. Review Process: The Doctoral Consortium will follow a review process in which submissions will be evaluated by a number of factors including (1) the quality of the submission, (2) the expected benefits of the consortium for the student's PhD research, and (3) the student's contribution to the diversity of topics, backgrounds, and institutions, in order of importance. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Finally, we hope to achieve a diversity of research topics, disciplinary backgrounds, methodological approaches, and home institutions in this year's Doctoral Consortium cohort. We do not expect more than two students to be invited from each institution to represent a diverse sample. Women and other underrepresented groups are especially encouraged to apply. Financial Support: The conference is pleased to offer partial financial support for doctoral students participating in the Doctoral Consortium and attending the conference. Only students who apply and are accepted for participation in the Doctoral Consortium can be considered for financial support. The number and size of the offers of financial support are contingent upon the number of invited student participants. Attendance: All authors of accepted submissions are expected to attend the Doctoral Consortium and the main conference poster session. The attendees will present their PhD work as a short talk at the Consortium and as a poster at the conference poster session. A detailed program for the Consortium and the participation guidelines for the poster session will be available after the camera-ready deadline. Process: - Submission format: Four-page extended abstract using the ACM format (https://www.acm.org/publications/proceedings-template#aL2) - Submission system: https://new.precisionconference.com/sigchi - Selection process: Peer-Reviewed - Presentation format: Talk on consortium day and participation in the conference poster session - Proceedings: Included in conference proceedings and ACM Digital Library - Doctoral Consortium Co-chairs: Iolanda Leite (KTH Royal Institute of Technology) and Alessandro Vinciarelli (University of Glasgow). Submission: July 2nd Notification: Camera ready: August 16th Important Dates: Submission deadline July 2nd, 2021 Notifications August 6th, 2021 Camera-ready August 16th, 2021 Questions? For more information and updates on the ICMI 2021 Doctoral Consortium, visit the Doctoral Consortium page of the main conference website (https://icmi.acm.org/2021) For further questions, contact the Doctoral Consortium co-chairs: - Iolanda Leite (iolanda at kth.se) - Alessandro Vinciarelli (Alessandro.Vinciarelli at glasgow.ac.uk) ------------------------------------------------------------------------------- Dongmei Jiang Professor, Head of Dept. Computer Information Engineering, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From avellido at cs.upc.edu Tue May 4 05:49:27 2021 From: avellido at cs.upc.edu (Alfredo Vellido) Date: Tue, 4 May 2021 11:49:27 +0200 Subject: Connectionists: ESANN 2021, DEADLINE EXTENSION: CFP Interpretable Models in ML and Explainable AI_ SPECIAL SESSION Message-ID: <02ff09de-7618-58cd-bec5-2de08f8511ad@cs.upc.edu> *** apologies for cross-posting *** *DEADLINE EXTENSION: 17/05* ESANN 2021 The 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium: 6-8 October 2021. https://www.esann.org *CFP SPECIAL SESSION*: Interpretable Models in Machine Learning and Explainable Artificial Intelligence =================== Machine learning models are currently dominated by neural networks and, in particular, by deep variants of those networks. Frequently, these models achieve promising results. However, usually deep networks act as black-box, as do many other machine learning models. Further, due to powerful tools, the learning process, which is often a gradient descent approach, is hidden for the developer as well as for the applicant of the model. Therefore, the possibilities to assess the network are mainly performance evaluations. However, this is problematic for many application for example in medicine, engineering and economy/finance applications, which require a transparent decision or prediction process. Recently there has been considerable effort to develop interpretable models in machine learning and approaches to explain the decision/prediction processes to the user. The aim of this special session is to make these new approaches and models more highly visible to the community. We invite papers highlighting different aspects of interpretable models and explaining decision support processes and inference models involving artificial intelligence. The session covers a broad range of this topic, ranging from theoretical considerations and new machine learning models to machine learning applications requiring or benefitting from interpretability and explainability. Topics include, but are not limited to: Machine learning models with inherent interpretability Methods to explain existing models Model verification Visualization and visual inspection of the operation of machine learning models Confidence and trustworthiness in AI Prediction confidence and quantification of uncertainty Trade-off between interpretability and performance Model transparency in safety critical applications We welcome both, new theoretical developments as well as practical applications. =========== ORGANIZERS: Sascha Saralajew (Bosch Center for Artificial Intelligence, Germany), Alfredo Vellido (Universitat Polit?cnica de Catalunya - UPC BarcelonaTech, Espa?a), Thomas Villmann (University of Applied Sciences Mittweida, Saxony Institute for Computational Intelligence and Machine Learning, Deutschland), Paulo Lisboa (Liverpool John Moores University, United Kingdom) DATES: Paper submission (extended):*17/05/21* Decisions: 20/07/21 SUBMISSION: https://www.esann.org/node/6 -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.felsberg at liu.se Tue May 4 08:43:36 2021 From: michael.felsberg at liu.se (Michael Felsberg) Date: Tue, 4 May 2021 12:43:36 +0000 Subject: Connectionists: Reminder: Assistant Professor (tenure track) in Computer Vision with focus on Machine Learning Message-ID: A gentle reminder (deadline in one week): Link?ping University (Sweden) is looking for good candidates for a position as Assistant Professor (tenure track) in Computer Vision with focus on Machine Learning Deadline is May 11, for further details, see https://liu.se/en/article/open-positions-at-isy Note also that Swedish Universities grant their employees keeping their IPR, which is perfect for own entrepreneurship! Best regards Michael Felsberg -- Professor Michael Felsberg Tel: +46 13 282460 Computer Vision Laboratory Mobile:+46 702 202460 Link?ping University email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden http://users.isy.liu.se/cvl/mfe/ -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4823 bytes Desc: not available URL: From kendrick.kay at gmail.com Tue May 4 08:50:57 2021 From: kendrick.kay at gmail.com (Kendrick Kay) Date: Tue, 4 May 2021 07:50:57 -0500 Subject: Connectionists: Cognitive Computational Neuroscience 2021 Announcement Message-ID: CCN 2021 is happening! This year, CCN will host a series of innovative online events from September 7?24, 2021. We have three planned events: 1. Generative Adversarial Collaborations: Gather a team of allies and rivals for an open discussion of controversies in cognitive computational neuroscience! Deadline for proposals: *June 21*. We?ll also have an update from last year?s GAC teams! 2. Keynotes & Tutorials: Deliver a keynote address on your research! Afterward, you and your team will guide participants through an interactive tutorial on key methods used in the research. Deadline for proposals: *July 15*. 3. Algonauts: Compete to model and predict human fMRI responses to dynamic videos. Results will be announced at CCN 2021. Submissions due: *August 15*. For more information on these events, please see the CCN web site at http://ccneuro.org . --CCN organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From Peter.Taylor at newcastle.ac.uk Tue May 4 09:52:35 2021 From: Peter.Taylor at newcastle.ac.uk (Peter Taylor) Date: Tue, 4 May 2021 13:52:35 +0000 Subject: Connectionists: Postdoc in Computational Neurology (Epilepsy) (Newcastle, UK) Message-ID: <7370BC84-FE3B-4A0B-97F7-4B10B39DBFA9@newcastle.ac.uk> Dear all, A postdoc position is currently available in my lab working on brain networks & epilepsy. Start date is flexible for up to two years duration in the first instance. Application deadline is 24 May. Details below, or see the following link if you are interested: https://www.jobs.ac.uk/job/CFF909/research-assistant-associate-in-computational-neurology-epilepsy Cheers, Peter The Role You are invited for a Research Assistant/Associate in Computational Neurology to work on an exciting project entitled: "SurgeryNet: Epilepsy surgery induced brain network changes: relation to patient outcomes". Focal epilepsy is a serious neurological disorder in which patients have repeated seizures thought to originate from localised brain tissue. Surgery as a treatment for epilepsy is effective in stopping seizures for many patients. However, for the remainder, seizures continue even after such an invasive procedure. Currently a wide range of clinical data is collected from patients during pre-surgical evaluation from MRI, EEG, MEG to localise the epileptogenic tissue. We recently developed advanced computational methods to identify abnormal brain areas and predict subsequent outcomes from surgery using such data. You will extend our existing analysis techniques and apply them to new data from patients with epilepsy. Your goal is to improve localisation of epileptogenic tissue and predict subsequent patient outcomes. Experience required: ? You will have substantial experience in processing of at least one of the following imaging modalities (multiple preferred): Diffusion weighted MRI, EEG, MEG, Functional MRI. ? You will have experience of at least one of the following analysis techniques (multiple preferred): Source localisation, Network analysis, graph theory, Dynamical systems theory, Dimensionality reduction, Machine learning. You will join the CNNP lab (http://www.cnnp-lab.com/) which is well supported with recent epilepsy funding of over ?1.5m. The lab currently has expertise across a range of techniques and access to data from over 300 individuals with epilepsy. The lab is based in the School of Computing at the Newcastle Helix site in Newcastle City Centre (http://www.newcastlehelix.com/), with state-of-the-art facilities. Extensive support and mentoring are available to all team members, and a generous budget for travel and computing equipment will be provided. The post is available immediately and is offered on a full-time, fixed-term basis for 24 months from date of appointment. We would be happy to discuss arrangements for flexible and/or blended working. We are committed to building and maintaining a fair and inclusive working environment. We appoint on merit and particularly welcome applications from groups that are currently underrepresented in computing such as LGBTQ+, Black, Asian and Minority Ethnic (BAME) colleagues and individuals who legally identify as female. Informal enquiries can be made in confidence to Dr Peter Taylor (mailto:peter.taylor at newcastle.ac.uk). https://www.jobs.ac.uk/job/CFF909/research-assistant-associate-in-computational-neurology-epilepsy -- Dr Peter Neal Taylor, UKRI Future Leaders Fellow, Lecturer in Data Science, Computational Neurology, Neuroscience & Psychiatry Lab, ICOS group, School of Computing, Newcastle Helix, Newcastle University, UK www.cnnp-lab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From pablo.alvesdebarros at iit.it Tue May 4 16:13:54 2021 From: pablo.alvesdebarros at iit.it (Pablo Vinicius Alves De Barros) Date: Tue, 4 May 2021 20:13:54 +0000 Subject: Connectionists: CFP Workshop on Competitive and Cooperative Social Interactions @ IJCAI2021 In-Reply-To: References: , Message-ID: <6158210214e74796999d3f42f77666d1@iit.it> Deadline Extended!!! Call For Papers - The Workshop on Competitive and Cooperative Social Interactions @ IJCAI2021 I. Aim and Scope In this workshop, we put together the top-tier researchers on machine learning, in particular social signal processing, and human-robot interaction to discuss, understand and propose possible solutions for our overall topic ?Competition and Cooperation: How to integrate machine learning and human-robot interaction in meaningful applications??. Our intention is to leverage an enriching discussion of the existing problems on competitive and cooperative interactions on the multidisciplinary view of our contributors, and not to present individual solutions for each of the related topics. Our invited speakers, all experts in their respective areas, will discuss the open problems involving social agents' interactions within their specialty. We also invite the submissions of position papers that present a critical view on this topic to complement and widen our discussions. More information: https://www.whisperproject.eu/compcoop II. Potential Topics Topics of interest include, but are not limited to: - Supervised, Unsupervised, and Self-supervised models for social signal processing. - Reinforcement Learning for Multi-agent interaction. - Representation Learning and Decision Making applied for - Competitive and/or Cooperative Scenarios. - Human-Robot interactions in Real-world Competitive and/or Cooperative scenarios. - Ethical aspects of artificial agents and social interactions. - Affective Computing Models and Applications for Multi-Agent Interactions. - Cognitive Models for Social Interaction. - Lifelong and Continual Learning for Interactions with Humans. - Learning with Humans in the Loop. - Developmental Learning for Social Signal Processing. - Explainable Social Agents. - Social Impact of novel Developments on Artificial Agents and Social Interactions. - Cognitive models for Social Interaction. III. Submission The workshop holds a public call for short (up to 4 pages) and long papers (up to 8 pages) that address any of the related topics. We encourage the participants to submit not only contribution papers but also position arguments about the current problems involving any of the related topics. The authors should follow the IJCAI paper template. - Paper submission deadline: May 14, 2021 - Decisions: May 21, 2021 - Camera-ready papers due: June 14, 2020 Submission website: https://cmt3.research.microsoft.com/CompCoop2021 IV. Organizers Pablo Barros, Italian Institute of Technology (IIT), Italy Doreen Jirak, Italian Institute of Technology (IIT), Italy Francisco Cruz, School of IT, Deakin University, Australia German I. Parisi, McD Tech Labs, USA ________________________________ From: Pablo Vinicius Alves De Barros Sent: Monday, March 29, 2021 9:03:43 PM To: Pablo Vinicius Alves De Barros Cc: Doreen Jirak; Francisco Cruz; German I. Parisi Subject: CFP Workshop on Competitive and Cooperative Social Interactions @ IJCAI2021 Call For Papers - The Workshop on Competitive and Cooperative Social Interactions @ IJCAI2021 I. Aim and Scope In this workshop, we put together the top-tier researchers on machine learning, in particular social signal processing, and human-robot interaction to discuss, understand and propose possible solutions for our overall topic ?Competition and Cooperation: How to integrate machine learning and human-robot interaction in meaningful applications??. Our intention is to leverage an enriching discussion of the existing problems on competitive and cooperative interactions on the multidisciplinary view of our contributors, and not to present individual solutions for each of the related topics. Our invited speakers, all experts in their respective areas, will discuss the open problems involving social agents' interactions within their specialty. We also invite the submissions of position papers that present a critical view on this topic to complement and widen our discussions. More information: https://www.whisperproject.eu/compcoop II. Potential Topics Topics of interest include, but are not limited to: - Supervised, Unsupervised, and Self-supervised models for social signal processing. - Reinforcement Learning for Multi-agent interaction. - Representation Learning and Decision Making applied for - Competitive and/or Cooperative Scenarios. - Human-Robot interactions in Real-world Competitive and/or Cooperative scenarios. - Ethical aspects of artificial agents and social interactions. - Affective Computing Models and Applications for Multi-Agent Interactions. - Cognitive Models for Social Interaction. - Lifelong and Continual Learning for Interactions with Humans. - Learning with Humans in the Loop. - Developmental Learning for Social Signal Processing. - Explainable Social Agents. - Social Impact of novel Developments on Artificial Agents and Social Interactions. - Cognitive models for Social Interaction. III. Submission The workshop holds a public call for short (up to 4 pages) and long papers (up to 8 pages) that address any of the related topics. We encourage the participants to submit not only contribution papers but also position arguments about the current problems involving any of the related topics. The authors should follow the IJCAI paper template. - Paper submission deadline: May 4, 2021 - Decisions: May 18, 2021 - Camera-ready papers due: June 14, 2020 Submission website: https://cmt3.research.microsoft.com/CompCoop2021 IV. Organizers Pablo Barros, Italian Institute of Technology (IIT), Italy Doreen Jirak, Italian Institute of Technology (IIT), Italy Francisco Cruz, School of IT, Deakin University, Australia German I. Parisi, McD Tech Labs, USA ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia ? Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros at iit.it website: https://www.pablobarros.net twitter: @PBarros_br -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue May 4 19:27:58 2021 From: cgf at isep.ipp.pt (Carlos) Date: Wed, 5 May 2021 00:27:58 +0100 Subject: Connectionists: IEEE/ACM/ASA DSAA'2021: CFPs Research, Application, Industrial, PhD and Special Sessions Tracks Message-ID: <7ff97066-c782-3a58-c013-80a9cacd52c2@isep.ipp.pt> =============================================================== IEEE/ACM/ASA DSAA'2021 CALL FOR PAPERS: Research, Application, Industrial, PhD and Special Sessions Tracks Research & Application Tracks: https://dsaa2021.dcc.fc.up.pt/calls/research-applications-tracks Industrial Track: https://dsaa2021.dcc.fc.up.pt/calls/industrial-track PhD Track: https://dsaa2021.dcc.fc.up.pt/calls/phd-track Special Sessions: https://dsaa2021.dcc.fc.up.pt/calls/special-sessions =========== Important Dates =========== Research, Application, Special Session, and Tutorials: submission deadline: 23 May 2021 Research, Application, and Special Session tracks notification: 25 Jul. 2021 Research, Application, and Special Session tracks camera ready due: 8 Aug. 2021 PhD Track submission deadline: 1 July 2021 PhD Track notification: 15 July 2021 =========== Attached to this e-mail you can find a document containing detailed information about the Call For Papers. Best Regards, Carlos Ferreira Publicity Chair Carlos Ferreira [https://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt -------------- next part -------------- A non-text attachment was scrubbed... Name: Call for Papers.pdf Type: application/pdf Size: 220419 bytes Desc: not available URL: From fmschleif at googlemail.com Tue May 4 14:26:39 2021 From: fmschleif at googlemail.com (Frank-Michael Schleif) Date: Tue, 4 May 2021 20:26:39 +0200 Subject: Connectionists: ESANN 2021 SS CFP - Federated Learning - Methods, Applications and Beyond (Deadline approaching, extended to 17 May 2021) Message-ID: -- Apologies in advance for multiple postings -- Call for Papers Special Session on 'Federated Learning ? Methods, Applications and Beyond' 06-08 October 2021, Bruges, Belgium https://www.esann.org/ AIMS AND SCOPE In today's world, important data is often distributed over different facilities or devices. E. g. in the context of the internet of things, smart devices, or the health care domain. In the latter one, different hospitals and private doctors, will hold different information of the same patient and models can be derived in a federated learning scheme to avoid data transmissions and to ensure privacy constraints. Just collecting data from all facilities/devices as it is, is mostly forbidden due to data privacy reasons. One direction to address this issue is given by means of differential privacy concepts. Another problem is, that in some scenarios, the data in some of the facilities are changing rapidly, and thus updated data would need to be sent to the model very frequently. Thus, minimizing communication effort is also a challenge. To address this issue, there currently exist different algorithms of the Federated Learning domain, like Federated Averaging (FedAvg), which address these problems. This special session welcomes novel research and applications in the field of Federated Learning and beyond. Especially addressing the challenges of expensive communication, systems heterogeneity, statistical heterogeneity, and privacy concerns. TOPICS We encourage the submission of papers on novel Federated Learning methods by means of computational intelligence and machine learning approaches, including but not limited to: - data analysis and pattern recognition approaches for federated environments - preprocessing approaches in collaborative learning - learning in heterogeneous systems - effective communication for updating distributed models - representation and modelling of distributed models - approximation techniques for Federated Learning - online and incremental learning (dimensionality reduction, classification, clustering and regression, outlier detection) with a particular design for federated environments - Federated Transfer Learning algorithms - Vertical Federated Learning algorithms - Horizontal Federated Learning algorithms - security and privacy preservation in federated environments - differential privacy techniques - model compression and adaptive model aggregation - application of Deep Learning in the Federated Learning context - particular interesting applications for Federated Learning e.g. in IoT, recommendation systems, medicine, sensor networks, text processing... SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6 Each paper will undergo a peer reviewing process for its acceptance. IMPORTANT DATES: ? Paper submission deadline: 10 May 2021 (Extended to 17.05.21) ? Notification of acceptance: 20 July 2021 ? Deadline for final papers: 20 August 2021 ? The ESANN 2021 conference: 06-08 October 2021 SPECIAL SESSION ORGANIZERS: ? Frank-Michael Schleif, University of Birmingham, Birmingham, UK ? Fabrice Rossi, CEREMADE, University Paris Dauphine PSL ? Christoph Raab, University of Bielefeld, Germany ? Moritz Heusinger, University of Appl. Sc. Wuerzburg-Schweinfurt, Germany -- ------------------------------------------------------- Prof. Dr. rer. nat. habil. Frank-Michael Schleif School of Computer Science University of Applied Sciences W?rzburg-Schweinfurt Sanderheinrichsleitenweg 20 Raum I-3.35 Tel.: +49(0) 931 351 18127 97074 W?rzburg Honorable Research Fellow The University of Birmingham Edgbaston Birmingham B15 2TT United Kingdom - email: frank-michael.schleif at fhws.de http://promos-science.blogspot.de/ https://www.techfak.uni-bielefeld.de/~fschleif/ ------------------------------------------------------- From el-ghazali.talbi at univ-lille.fr Wed May 5 08:38:25 2021 From: el-ghazali.talbi at univ-lille.fr (El-ghazali Talbi) Date: Wed, 5 May 2021 14:38:25 +0200 Subject: Connectionists: CFP META'2021 @Marrakech Message-ID: <06525be1-785e-1afa-7f40-9c49b5dd49cb@univ-lille.fr> Dear colleagues, please distribute the CFP of META Conf. in your networks. Thanks for your collaboration. Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. ********************************************************************** ????????????????????????????? META'2021 International Conference on Metaheuristics and Nature Inspired Computing ??????????????????????????? 27-30 Oct 2021 ????????????????????????? Marrakech, Morocco ??????????????? http://meta2021.sciencesconf.org/ ********************************************************************** META is one of the main event focusing on the progress of the area of metaheuristics and their applications. As in previous editions, META?2021 will provide an opportunity to the international research community in metaheuristics to discuss recent research results, to develop new ideas and collaborations, and to meet old friends and make new ones in a friendly and relaxed atmosphere. All selected long papers will be published in the Springer (SCOPUS, ISI, DBLP) conference proceedings. At least, 2 special special issues in ISI and SCOPUS journals are also confirmed. META'2021 welcomes presentations that cover any aspects of metaheuristic research such as new algorithmic developments, high-impact applications, new research challenges, theoretical developments, implementation issues, and in-depth experimental studies. META'2021 strives for a high-quality program that will be completed by a number of invited talks, tutorials, workshops and special sessions. The scope of the META conference includes, but is not limited to: ??? * Local search, tabu search, simulated annealing, VNS, ILS, ? ??? * Evolutionary algorithms, swarm intelligence, bio-inspired algorithms, ? ??? * Emergent nature inspired algorithms: artificial immune systems, bee colony, DNA computing, ? ??? * Quantum computing, neuromorphic computing ??? * Parallel and distributed algorithms ??? * Decomposition methods ??? * Hybrid methods with machine learning, game theory, mathematical programming, constraint programming, co-evolutionary, ? ??? * Application to: logistics and transportation, networks, scheduling, data mining, engineering design, energy, cloud, bio-medical, ? ??? * Theory of metaheuristics, landscape analysis, convergence, problem difficulty, very large neighbourhoods, ? ??? * Multi-objective optimization, bi-level optimization ??? * Dynamic optimization, problems with uncertainty, stochastic optimization, ? ??? * Parameter tuning (static, dynamic, adaptive, self-adaptive) ??? * Hyper-heuristics, cross-domain metaheuristics ??? * Software frameworks for metaheuristics and nature inspired computing Submission of papers: ____________________ - Submission of papers via the website ??? S1) Short papers: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages. ??? S2) Long papers: Original research contributions of a maximum of 10 pages. ??? S3) Journal papers: High-quality manuscripts that have recently, within the last year, been submitted or accepted for journal publication. For this special case, the submission should have the same title that the accepted work, the abstract AND the complete reference of the work. - Proceedings of the conference will be provided. Selected papers of type S2 will be published in a Springer book (SCOPUS, ISI, DBLP). - Predefined styles are available on the website http://meta2021.sciencesconf.org/ - Proposals for invited sessions, workshops and tutorials: Deadline April 9, 2021, contact meta2021 at sciencesconf.org Important dates _______________ - Submission deadline: May 30, 2021 - Notification of acceptance: June 18, 2021 -- ********************************************************************** META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021, Marrakech, Morocco http://meta2021.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com From andrea.simonelli at unitn.it Wed May 5 09:46:58 2021 From: andrea.simonelli at unitn.it (Andrea Simonelli) Date: Wed, 5 May 2021 15:46:58 +0200 Subject: Connectionists: ICCV21 Workshop on 3D Object Detection from Images (3DODI) Message-ID: Workshop on 3D Object Detection from Images (3DODI) Virtual @ ICCV 2021 https://sites.google.com/unitn.it/3dodi Description The 1st Workshop on 3D Object Detection from Images aims to gather researchers and engineers from academia and industry to discuss the latest advances in Image-based 3D object detection. In this half-day workshop, we will have invited speakers, regular paper presentations and paper prizes to present the current state of the art in terms of methodologies and applications, limitations and future directions in this challenging research area. Invited Speakers - Andreas Geiger, University of Tubingen - Adrien Gaidon, Toyota Research Institute - Laura Leal-Taix?, Technical University of Munich - Fisher Yu, ETH Zurich - Xiaoming Liu, Michigan State University Call for Papers The suggested list of topics is (but is not limited to): - 3D object detection methods from images in a monocular setting, stereo or other calibrated multi-camera settings, or from multiple image frames or video streams - Exploration of novel representations, e.g. like Pseudo-LiDAR, for image-based 3D object detection - Exploitation of semi-supervised or self-supervised techniques in the context of image-based 3D object detection - Domain adaptation or transfer learning with image-based 3D object detectors - Exploring adversarial attacks in the context of image-based 3D object detection - Advances on depth estimation for the purpose of improving 3D Object Detection pipelines - Novel metrics to benchmark 3D object detectors as well as critical analyses of the existing metrics and evaluation protocols - Novel benchmark datasets for image-based 3D object detection methods, or critical analyses of existing benchmarks and methods - Novel strategies for investigating the limits of existing monocular 3D object detection models - Applications of image-based 3D object detections (robotics, autonomous driving, Augmented reality, etc.) Prizes In order to solicit high-quality submissions we will have two best paper prizes: - Best paper: 2k USD - Runner-up: 1k USD Dates - Submission: July 25th 11:59PM Pacific Time - Notification: August 12th 11:59PM Pacific Time - Camera ready: August 16th 11:59PM Pacific Time Contact For any information contact 3dodi.workshop at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Wed May 5 10:55:23 2021 From: gangluo at cs.wisc.edu (GANG LUO) Date: Wed, 5 May 2021 14:55:23 +0000 Subject: Connectionists: Call for Papers - International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2021) In-Reply-To: References: Message-ID: -- Call for Papers -- The Seventh International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2021) In Conjunction with VLDB 2021 Copenhagen, Denmark - virtual event August 20, 2021 https://sites.google.com/view/vldbdmah2021/ DMAH will be held online this year. Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic- data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field. This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. Topics of interest include, but not limited to: Big data management for medical data; Blockchain for healthcare; Biomedical data integration; Biomedical knowledge management and decision support; Semantics and interoperability for healthcare data; Clinical natural language processing and text mining; Predictive modeling for diagnosis and treatment; Visual analytics for medical data; Medical image analytics; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health (public health 2.0); Data analytics for pervasive computing for medical care. DMAH 2021 accept two types of papers: 1) Regular research papers reporting original research results or significant case studies (18 pages). 2) Extended abstracts presenting novel research directions or challenging problems (4 pages). Important Dates: Abstract (optional): May 10, 2021 Individual Workshop Papers: May 16, 2021 Notification of Acceptance: June 10, 2021 Camera Ready: June 25, 2021 Workshop date: August 20, 2021 All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer LNCS. Workshop Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Alevtina Dubovitskaya, Lucerne University of Applied Sciences and Arts and Swisscom, Switzerland Jun Kong, Georgia State University, USA From vincentthunder2011 at gmail.com Wed May 5 10:55:52 2021 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Wed, 5 May 2021 22:55:52 +0800 Subject: Connectionists: [Deadline Extended] IEEE GLOBECOM 2021 - Social Networks SAC Message-ID: IEEE Global Communications Conference 7-11 December 2021 Madrid, Spain Selected Areas in Communication Symposium: Social Networks Track SCOPE AND MOTIVATION Recently, social network research has advanced rapidly with the prevalence of online social applications and mobile social communications systems. Moreover, the ongoing pandemic via contact social networks has caused tremendous human life and economic loss around the world, and infodemic is one of the major social impacts that make people difficult to discriminate trustworthy sources, from false and manipulative information sources. Therefore, researchers are increasingly interested in addressing a wide spectrum of challenges in social networks, such as developing social-aware algorithms for communications systems, identifying the topological common structures and information/influence flows, analyzing the social media and evolutions of social graphs, and exploiting location-based and contextual information embedded in mobile social networks to create innovative applications. Due to the interdisciplinary nature, social networks have also attracted intensive research interests across multiple disciplines, including artificial intelligence, blockchain, big data analytics, information security and privacy protection, psychology, and marketing. In light of the above crucial needs, Selected Areas in Communication Symposium in Social Networks will serve as a forum for researchers and technologists to discuss the state-of-the-art, present their contributions, and set future directions in social networks. TOPICS OF INTEREST - Infrastructure, platform, protocol design, and optimization for mobile social networks, mobile social clouds, and social Internet-of-Things with Artificial Intelligence - Social-aware network solutions and social network influence on (wireless) communications systems - Cross-layer design for social networks and the underlying communications and network platforms, and subsequent new design paradigm for future (wireless) communications - Network graph modeling, measurements, simulations, and experiments - Analysis of dynamics and control of belief, influence, and rumor propagations in the evolutions of social networks - Data mining, machine learning, information retrieval, signal processing, and artificial intelligence in social media and social contexts - Trusted networking, privacy and security, user behaviors and dynamics, and digital right management, for big data in social networks - Innovative social network applications and services to mobile Internet, multimedia networks, mobile-commerce, cyber-physical systems, and their potential social, economic, and cultural impacts - Multidisciplinary and interdisciplinary research on social networks IMPORTANT DATES Deadline for paper submission: 28 May 2021 (Firm) Date for notification: 25 July 2021 Deadline for final paper submission: 1 September 2021 SUBMISSION INSTRUCTIONS All papers for technical symposia should be submitted via EDAS through the following link. https://edas.info/newPaper.php?c=27498&track=102700 -------------- next part -------------- An HTML attachment was scrubbed... URL: From fbln at ecomp.poli.br Wed May 5 11:18:52 2021 From: fbln at ecomp.poli.br (Prof. Fernando Buarque) Date: Wed, 5 May 2021 12:18:52 -0300 Subject: Connectionists: 2nd CFP 7th IEEE Latin-American Conference on Computational Intelligence (IEEE LA-CCI2021) Message-ID: Dear Colleagues, On the behalf of the organizers, I am glad to invite you and your collaborators to submit your recent research-results to the: -7th IEEE Latin-American Conference on Computational Intelligence (IEEE LA-CCI2021) [NOV., 2-4th] Your students may also be willing to participate at the inspiring: -XVII IEEE Latin American Summer School on Computational Intelligence, EVIC 2021. [NOV., 4-5th] -2021 LA-CCI Theses Contest on Computational Intelligence & Applications [NOV., 2-4th] This year LA-CCI and EVIC will be held ***completely on-line*** in November (2-5th); our base will be in Temuco-Chile. WEBSITE LINK ==>> http://la-cci.org/ ORGANIZERS EMAIL ==>> LA-CCIchairs at ufrontera.cl (Prof. Millaray Curilem) * (A PDF version of this 2nd CFP is attached)* CONFIRMED SPEAKERS: -Carlos Coello, CINVESTAV-IPN, MEXICO -Alice Smith, Auburn University, USA -Piero Bonissone, San Diego, USA -Hava Siegelmann, University of Massachusetts Amherst, USA -Pablo Huijse, Universidad Austral de Chile, Chile -B?rbara Poblete, Universidad de Chile, Chile IMPORTANT DATES Papers: -Submissions: June 21st -Notification of acceptance: August 31st -Final version of all accepted papers: September 30th School (EVIC): -Poster Deadline: September 15th -Poster Notification: September 29th Theses context: -Submissions: July 31, 2021 -Notification of acceptance: September 30th CONFERENCE-TRACKS: I) Evolutionary & Swarm Computation: Genetic Algorithms, Genetic Programming, Artificial Immune Systems, Swarm Intelligence, Collective Intelligence, Evolvable Hardware, Bio-inspired Methods. II) Neural & Learning Systems: Neural Networks, Machine Learning, Complex Systems, Molecular and Quantum Computing, Complex Networks. III) Fuzzy & Stochastic Modeling: Fuzzy Systems, Fuzzy Control & Decision Making, Uncertainty Analysis, Rough Sets, Fractals, Multiagent Systems, Reinforcement Learning, Game Theory. IV) Ethical, Environmental, and Social implications of AI. Cordially, Fernando Buarque - Steering Committee Coordinator of LA-CCI Series Millaray Curilem - General Chair of LA-CCI 2021 *"LA-CCI is an exciting international event on Computational Intelligence held in Latin America to CI Researchers worldwide".* Prof. Dr. Fernando Buarque, BSc MSc DIC-PhD(Imperial College(UK) Hab(BR) SM IEEE(USA) Humboldt-Fellow(DE) Fellow-Academy of Science (PE/BR) Senior Associate Professor ? PostGrad/Undergrad Program on Computing Engineering of UPE, Brazil (PPG-EC / E-Comp ) Honorary Professor ? College of Engineering, Mathematics & Physical Sciences of U.of Exeter, England (CEMPS ) Visiting Int'l Professor ? School of Business and Economics-European Research Center for IS-WWU M?nster, Germany (ERCIS ) Visiting Professor ? School of Electrical Engineering of the University of Johannesburg, South Africa (FEBE at UJ ) Adjunct Professor (external) ? Dept Electrical & Computer Engineering of Texas A&M University, USA (ECE at TAMU ) Board Member ? Science and Technology State (of Pernambuco) Foundation, Brazil (FACEPE ) Research Ambassador ? University of M?nster, Germany (WWU ) Research Group Head ? Computational Intelligence Research Group of UPE, Brazil (CIRG at UPE ) Steering Committee Chair ? Latin American Conference on Computational Intelligence Conference Series (LA-CCI ) Advisory Board Member ? Institute for Intelligent Systems of the University of Johannesburg, South Africa (IIS at UJ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2nd CFP Document LA-CCI 2021.pdf Type: application/pdf Size: 334409 bytes Desc: not available URL: From calendarsites at insticc.org Wed May 5 13:09:47 2021 From: calendarsites at insticc.org (calendarsites at insticc.org) Date: Wed, 5 May 2021 18:09:47 +0100 Subject: Connectionists: [CFP] Call for Abstracts and Call for the e-Business 2021 Doctoral Consortium (Submission Deadline :: 12th of May) Message-ID: <004601d741d1$7485b910$5d912b30$@insticc.org> Dear Colleagues, ICE-B 2021 is welcoming abstract submissions and also contributions to the e-Business 2021 Doctoral Consortium, until the 12th of May. ABSTRACT TRACK: In order to ensure a proper and fair review of the abstracts, we encourage authors to submit abstracts with clear insights and background of the work, and to include complementing material that can help the panel understand its contribution and relevance to the conference. Complementing material could include, for example, previously published papers or videos related to the abstract, to enrich the abstract submission. Abstracts that bring an appropriate complementing material are eligible for oral or poster presentation; otherwise, they are eligible for poster presentation only. Oral presentations are given a 20' minutes time slot. Abstracts will be advertised in the conference program and in the conference book of abstracts (in the printed and digital version), but not published DOCTORAL CONSORTIUM: The ICE-B 2021 Doctoral Consortium aims to improve the research of PhD students and broaden their perspectives by giving them the opportunity to share and develop their research ideas in a supportive environment, get feedback from senior members, improve their communication skills, exchange ideas, and build relationships with other PhD students. Accepted contributions will be presented in a dedicated conference session where participants will discuss their research ideas and results, and receive constructive feedback from an audience consisting of their peers as well as more senior experts in the field. In addition to that, students will be invited to participate at poster sessions so that they also receive comments of other participants in the conference. IMPORTANT DATES: Submission deadline: May 12, 2021 Notification of acceptance: May 25, 2021 Camera Ready and Registration: June 3, 2021 For more information, you may send an email to: ice-b.secretariat at insticc.org or visit the conference website: http://www.ice-business.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From eneftci at uci.edu Wed May 5 13:20:11 2021 From: eneftci at uci.edu (Emre Neftci) Date: Wed, 05 May 2021 10:20:11 -0700 Subject: Connectionists: =?utf-8?q?Phd_and_Postdoc_Positions_in_Neuromorph?= =?utf-8?q?ic_Computing_and_Software_at_Forschungzentrum_Juelich?= Message-ID: <3f739285-5c21-4f5d-a56f-2c409e99e234@www.fastmail.com> The newly created Peter Gruenberg Institute-15 led by Emre Neftci at Forschungzentrum Juelich is excited to offer PhD and Postdoc positions in the area of neuromorphic engineering. We are looking for creative researchers with interest in brain-inspired machine learning and neuromorphic hardware. To see full descriptions and apply, please follow these links: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021D-049-EN-PGI-15.html https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021-175-EN-PGI-15.html Applications are due May 10 and 21 respectively, but we'll continue reading applications until the positions are filled. Please contact me directly for any questions. Emre Neftci -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/), Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100 From rava at ens.fr Wed May 5 14:55:49 2021 From: rava at ens.fr (Rava A. da Silveira) Date: Wed, 5 May 2021 20:55:49 +0200 Subject: Connectionists: ONLINE SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, August 2021 Message-ID: *CN**EURO**2021* *Theoretical and Computational Neuroscience Summer School* *14 to 21 August 2021 ? Online, hosted by Tsinghua University, Beijing and IOB, Basel* *www.cneuro.net * *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists, as the complex algorithmics of brain function and the intricate interactions among neurons cannot be approached with experiments alone. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The course will bring together leading scientists in the field, who will deliver lectures, take part in small-group discussions, and share their personal experience and views on a range of research topics. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. *Faculty* Vijay Balasubramanian (University of Pennsylvania) Dmitrii Chklovskii (Flatiron Institute) Julijana Gjorgjieva (MPI for Brain Research) Christian Machens (Champalimaud Center) Kanaka Rajan (Mount Sinai) Eric Shea-Brown (University of Washington) *Organizers* Rava Azeredo da Silveira (ENS) Stella Christie (Tsinghua University) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University) Quan Wen (USTC) *Application and deadline* Please apply by 31 May 2021; details at www.cneuro.net/cneuro2021. -------------- next part -------------- An HTML attachment was scrubbed... URL: From lmuller2 at uwo.ca Wed May 5 22:41:15 2021 From: lmuller2 at uwo.ca (Lyle Muller) Date: Thu, 6 May 2021 02:41:15 +0000 Subject: Connectionists: Western-Fields Seminar Series: Networks, Random Graphs, and Neuroscience Message-ID: The second talk in the 2021 Western-Fields Seminar Series?in Networks, Random Graphs, and Neuroscience is next Thursday (13 May) at noon EST. Lee Smolin (Perimeter Institute) will speak about random graph theory. Dr. Smolin has made foundational contributions to loop quantum gravity and is an influential modern thinker in mathematical physics. Dr. Smolin is known for excellent expositions in books, articles, and lectures spanning scientific domains. This seminar series features monthly virtual talks from a diverse group of researchers across machine learning, physics, computational neuroscience, and graph theory. Upcoming speakers include Sudeshna Sinha (Indian Institute of Science Education and Research), Todd Coleman (University of California, San Diego), Alexander Lubotzky (Hebrew University of Jerusalem), Frances Skinner (Krembil Institute), and more. Registration link: https://zoom.us/meeting/register/tJYuf-GppzkjHt0W5HMDpME2UpUiE7ntO5JS -- Lyle Muller http://mullerlab.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1590 bytes Desc: not available URL: From aldo.lipani at acm.org Wed May 5 12:47:09 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Wed, 5 May 2021 18:47:09 +0200 Subject: Connectionists: CIKM 2021 - 2nd Call for Full Papers (First Deadline, May 19) In-Reply-To: References: Message-ID: ============================================================ ?? ? ?CIKM 2021: The 30th ACM International Conference ?? ? ? ? ?on Information and Knowledge Management ?? ? ? ? ? ? ? ?1 - 5 November 2021, Online ?? ? ? ? ? ? ? ? ?(Queensland, Australia) ?? ? ? ? ? ? ? ? ?http://www.cikm2021.org ?? ? ?https://easychair.org/conferences/?conf=cikm2021 ============================================================ The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner. The Applied Research Track aims at attracting submissions from both industry and academia that either solve or advance the understanding of issues related to deploying AI, IR and big data technologies as part of actual applications. The Applied Research Track is distinct from the Research Track in that submissions focus on applied work describing e.g. the implementation of a system, the acquisition of data, or the application of a methodology, that solves a significant real-world problem and demonstrates benefits as well as impact. Submissions must clearly describe how their work has been deployed or released, and for how long. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) --------------- Key Dates --------------- Applied Paper Abstract Submission: ?? ?May 19, 2021 (anywhere in the world) Applied Paper Submission Deadline: ?? ?May 26, 2021 (anywhere in the world) Acceptance Notification: ? ?August 9, 2021 (anywhere in the world) Final Version Submission: ? ?Aug 23, 2021 (anywhere in the world) ------------------ Topics of Interest ------------------ We encourage submissions in the same area of relevance as the CIKM2021 Research Track (http://www.cikm2021.org/cfp/full-papers), but that describe applied and in-use work, with evidence of a system launch, data release, or other application. The areas of interest include: * Business Intelligence (e.g., Advertising and E-commerce, Finance, Marketing and Crowds, Recommender systems, Gig Economy) * Social Networks (e.g., Crowdsourcing, Network sciences, Social media and publishing, Social sciences, User modeling, Web mining) * Social Good and Fairness (e.g. Fair and Inclusive Systems, Humanitarian Crisis Support, Emergency Detection, Citizen Participation) * Knowledge Diffusion (e.g. Monitoring Disinformation, Data Journalism, Fact-checking, Bibliometrics) * Healthcare and Bioinformatics (e.g., Clinical Decision Support, Clinical Research, Healthcare and Caregiving, Patient Empowerment, Genomic applications) * Computing Infrastructures (e.g., Big Data infrastructures Cloud?Map-Reduce, MPI, Data protection, Design of experiments, Interpretable models, Large-scale optimization, Scalable algorithms) * Data Quality and its impact on systems (for AI, DBMS, Web, etc.) * Emerging Applications (e.g., AI in Education, Internet of Things, Cyber Security, Intelligent Transportation) ----------------- Paper Submissions ----------------- Authors are invited to submit original applied research results that have not been previously published, are not accepted to be published, and are not currently being considered for publication in any other conference or journal. Submissions do not need to be double-blind, i.e., authors? names and affiliations can be included in the submission if desired, but they are not required. Manuscripts should be submitted electronically, as PDF files of max 9 pages plus unlimited references, formatted using the ACM camera-ready templates, using the double column template ?sig-conf?. Papers should be submitted through the CIKM 2021 online submission system using the ?Applied Research Track?. To facilitate review, each paper should provide the topics that it belongs to. ----------------- Dual Submission Policy ----------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule: * Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published. * Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity. --------------------------------- ACM Policy Against Discrimination --------------------------------- All authors and participants must adhere the ACM discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment ---------------------------- PC Chair Contact Information ---------------------------- For more information, contact the appropriate PC chairs: Applied Paper Track Email: cikm2021-applied at easychair.org Miriam Redi, Wikimedia Foundation, USA Chris Welty, Google Research, USA Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Thu May 6 03:47:56 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Thu, 6 May 2021 09:47:56 +0200 Subject: Connectionists: Call for Papers -- AAIA'21 - 16th International Symposium on Advances in Artificial Intelligence and Applications -- FedCSIS'21 Track; IEEE #52320 -- deadline May 24, 2021 In-Reply-To: <8e872c8c-3979-32df-c90d-1e6d1aa95b2b@ibspan.waw.pl> References: <8e872c8c-3979-32df-c90d-1e6d1aa95b2b@ibspan.waw.pl> Message-ID: <311d064c-3215-bacf-ab53-0307cddf2c02@amu.edu.pl> CALL FOR PAPERS AAIA'21 - 16th International Symposium on Advances in Artificial Intelligence and Applications Track within 2021 Federated Conference on Computer Science and Intelligence Systems (FedCSIS'21; IEEE #52320) https://fedcsis.org/2021/aaia ************************* COVID-19 Information ************************* While we have planned the 2021 conference to take place in Sofia, Bulgaria, slow progress in fighting the global pandemic has forced us to switch to the fully online mode. Therefore, we plan to organize FedCSIS 2022 in Sofia, and hope that by that time COVID will be over, and we will be able to meet in person. FedCSIS organizers ************************************************************************ FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE This track is a continuation of international AAIA symposiums, which have been held since 2006. It aims at establishing the synergy between technical sessions, which encompass wide range of aspects of AI. With its longest-tradition threads, such as WCO focusing on Computational Optimization, it is also open to new initiatives categorized with respect to both, the emerging AI-related methodologies and practical usage areas. Nowadays, AI is usually perceived as closely related to the data, therefore, this track?s scope includes the elements of Machine Learning, Data Quality, Big Data, etc. However, the realm of AI is far richer and our ultimate goal is to show relationships between all of its subareas, emphasizing a cross-disciplinary nature of the research branches such as XAI, HCI, and many others. AAIA'21 brings together scientists and practitioners to discuss their latest results and ideas in all areas of Artificial Intelligence. We hope that successful applications presented at AAIA'21 will be of interest to researchers who want to know about both theoretical advances and latest applied developments in AI. AAIA?21 is technically supported by: International Rough Sets Society. AAIA'21 TOPICS ? Decision Support ? Machine Learning ? Fuzzy Sets and Soft Computing ? Rough Sets and Approximate Reasoning ? Data Mining and Knowledge Discovery ? Data Modeling and Feature Engineering ? Data Integration and Information Fusion ? Hybrid and Hierarchical Intelligent Systems ? Neural Networks and Deep Learning ? Reinforcement Learning ? Bayesian Networks and Bayesian Reasoning ? Case-based Reasoning and Similarity ? Web Mining and Social Networks ? Business Intelligence and Online Analytics ? Robotics and Cyber-Physical Systems ? AI-centered Systems and Large-Scale Applications ? AI for Combinatorial Games, Video Games and Serious Games ? Evolutionary Algorithms and Evolutionary Computation Track includes technical session: ? WCO'20 - 13th International Workshop on Computational Optimization https://fedcsis.org/2020/wco FedCSIS'21 KEYNOTE SPEAKERS: * David Bader; New Jersey Institute of Technology Keynote title: Solving Global Grand Challenges with High Performance Data Analytics * Rajkumar Buyya; Cloud Computing and Distributed Systems (CLOUDS) Lab, The University of Melbourne, Australia; and CEO, Manjrasoft Pvt Ltd, Melbourne, Australia Keynote title: Neoteric Frontiers in Cloud and Edge Computing * Hristo Djidjev; Los Alamos National Laboratory Keynote title: Using quantum annealing for discrete optimization * Moshe Y. Vardi; Rice University Keynote title: Lessons from COVID-19: Efficiency vs Resilience ZDZIS?AW PAWLAK BEST PAPER AWARD The Professor Zdzis?aw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS are eligible to be considered as the award winners. This award will be awarded independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2021/zp_award PAPER PUBLICATION: + Papers should be submitted by May 24, 2021 (strict deadline, no extensions, submission system is open, via EasyChair https://easychair.org/my/conference?conf=fedcsis2021). + Preprints will be published online. + Only papers presented during the conference will be submitted to the IEEE for inclusion in the Xplore Digital Library. Furthermore, proceedings, published in a volume with ISBN, ISSN and DOI numbers, will be posted within the conference Web portal. + Authors of selected papers of AAIA 2021 will be invited to submit extended versions of their papers to the following journals: Natural Language Processing Research and Human-Centric Intelligent Systems, depending on the paper's topic. IMPORTANT DATES: + Paper submission (strict deadline): May 24, 2021, 23:59:59 (UCT-12; there will be no extension) + Position paper submission: June 14, 2021 + Author notification: July 5, 2021 + Final paper submission and registration: July 26, 2021 + Conference date: September 2-5, 2021 Please forward this announcement to your colleagues and associates who could be interested in it. Track Chairs ? ?l?zak, Dominik, University of Warsaw, Poland ? Matwin, Stan, Dalhousie University, Canada Contact: aaia-track at fedcsis.org Program Chairs ? ?wiechowski, Maciej, QED Software, Poland ? Sosnowski, ?ukasz, Dituel, Poland Contact: aaia-program at fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From alberto.nogales at ceiec.es Thu May 6 05:03:19 2021 From: alberto.nogales at ceiec.es (Alberto Nogales Moyano) Date: Thu, 6 May 2021 11:03:19 +0200 Subject: Connectionists: EEGraph a Python library to model EEGs as graphs Message-ID: Dear all, let me introduce this library that can help scientists involved in biosignal processing. This library lets you model your EEGs as graphs taking into account brain connectivity and different measures. Once you obtain these graphs you can work with convolutional neural networks or graph convolutional neural networks. https://github.com/ufvceiec/EEGRAPH Hope you find it useful. -- [image: Mailtrack] Remitente notificado con Mailtrack 06/05/21 11:02:49 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Thu May 6 10:41:17 2021 From: Francesco.Rea at iit.it (Francesco Rea) Date: Thu, 6 May 2021 14:41:17 +0000 Subject: Connectionists: =?windows-1252?q?Summer_School_Social_connections?= =?windows-1252?q?_and_well-being_in_the_digital_era_=96_Lake_Como_=28Ital?= =?windows-1252?q?y=29_=96_Registration_is_open!?= Message-ID: We are pleased to announce the summer school on Social connections and well-being in the digital era. It will take place in presence on Lake Como (Italy) from 23 to 27 August 2021. The Summer School aims at offering an overview of the most cutting-edge psychological theories and research on the social impacts of digital technologies. The impacts of various platforms and devices will be considered, including already widespread (e.g., smartphones, social media) and frontier ones (e.g., social chatbots, social robots, and virtual reality). Four primary focuses will be discussed: social connections in the digital era (day 1), connecting and interacting with social robots (day 2), exploring the social dimension in technology-enhanced learning processes (day 3), and digital interventions to foster well-being (day 4). For more details on the program and the list of speakers, visit the school?s homepage: https://cwde.lakecomoschool.org/ Registration is now open, and the deadline for the registration is 7th of June 2021. To apply, fill out the online form at ConnectionsDigitalEraSchool To inquire about logistics issues (e.g., travel arrangements, accommodation options), please contact chiara.stefanetti at fondazionealessandrovolta.it. To inquire about the scientific program, please contact ConnectionsDigitalEraSchool at gmail.com Best Wishes, Paolo Riva, Luca Andrighetto, Francesca Pozzi, & Natale Canale -------------- next part -------------- An HTML attachment was scrubbed... URL: From Fabrice.Rossi at apiacoa.org Thu May 6 11:52:17 2021 From: Fabrice.Rossi at apiacoa.org (Fabrice Rossi) Date: Thu, 6 May 2021 17:52:17 +0200 Subject: Connectionists: ESANN 2021 SS CFP - Anomaly and change point detection, in geometric and non-vector data (deadline extension: May 17) Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Anomaly and change point detection in geometric and non-vector data" at ESANN 2021 - https://www.esann.org/special-sessions European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021). 6-8 October 2021, Bruges, Belgium - http://www.esann.org Non vector data are ubiquitous in contemporary data science applications. They take various forms, from simple categorical observations to dynamic graphs. In some cases, they also integrate a temporal component. Because of the geometry implied by their quantized nature, non-vector data raise specific challenges in the context of abnormal behaviour detection. Consider for instance a time series which values are vertices of a graph: how can we extend the notion of change point detection in such a series? What about a time series of full graphs? Numerous research directions have been explored in this context, including, among others the following ones: - vector embedding - dissimilarity based methods - generative models - kernel methods - deep learning - etc. This special session is driven by two related and complementary issues: - detecting outliers in non-vector data - detecting anomalies and change-points in non-vector data with a temporal dimension, whether in online and/or offline fashion. Non-vector data may include, but are not limited to, the following cases: - categorical data, especially when the number of categories is high or when some structure exists over the categories (such as a taxonomy) - texts, for instance organized in collections or evolving through time as the results of editions - graphs, including temporal graphs, attributed graphs, etc. - other (semi)structured data such as for instance computer programs in binary or source form, XML documents, etc. We encourage submission of theoretical results, methodological advances and novel applications. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.esann.org/node/6. Papers will undergo a peer reviewing process for acceptance. IMPORTANT DATES: - Paper submission (updated) deadline: 17 May 2021 - Notification of acceptance: 20 July 2021 - Deadline for final papers: 20 August 2021 - The ESANN 2021 conference: 06-08 October 2021 Organisers: - Madalina Olteanu (Madalina.Olteanu at dauphine.psl.eu) CEREMADE - Universit? Paris Dauphine PSL - Fabrice Rossi (Fabrice.Rossi at dauphine.psl.eu) CEREMADE - Universit? Paris Dauphine PSL - Florian Yger (Florian.Yger at dauphine.psl.eu) LAMSADE - Universit? Paris Dauphine PSL From pjthomas at case.edu Thu May 6 14:17:39 2021 From: pjthomas at case.edu (Peter Thomas) Date: Thu, 6 May 2021 14:17:39 -0400 Subject: Connectionists: Fwd: ICMNS 2021 - First announcement In-Reply-To: References: Message-ID: We are delighted to announce the 7th International Conference on Mathematical Neuroscience (ICMNS 2021). Owing to the Coronavirus outbreak, the 7th edition will take place in a virtual format, via Zoom, from the 28th of June to the 1st of July 2021, between 15:00 and 18:00 (GMT+2). ICMNS is an interdisciplinary conference series, bringing together theoretical neuroscientists and mathematicians. The conferences are aimed at scientists interested in using or developing mathematical techniques for neuroscience problems. Plenary speakers will be - Olivier Faugeras (Inria Sophia Antipolis M?diterran?e, France) - Kre?imir Josi? (University of Houston, USA) - Kathrin Ohla (HSU, University of the Federal Armed Forces Hamburg, Germany) This year, 3 out of 4 talks will be given by Early Career speakers, and there is an open call for micro-talks, delivered to the whole audience. A broad set of topics will be covered, including: - Single cell and network dynamics - Mean field and probabilistic descriptions of neural networks - Mathematical models of synaptic plasticity - Phase-amplitude reduction, and data-driven modelling - Mathematical modelling of perception Please visit our website to view the preliminary programme, and subscribe to our mailing list and YouTube channel: - https://www.danieleavitabile.com/icmns2021digital/ - https://www.youtube.com/channel/UCXClLvVl35uBrYIgN8dOZsw See you online at ICMNS2021! The Organising Committee Peter Ashwin (University of Exeter, UK) Daniele Avitabile (Vrije Universiteit Amsterdam, The Netherlands) Evelyn Buckwar (Johannes Kepler University, Austria) Gr?gory Faye (University Paul Sabatier, Toulouse, France) Eva L?cherbach (Universit? Paris 1, Panth?on Sorbonne, France) Wilhelm Stannat (Technische Universit?t Berlin, Germany) Etienne Tanr? (Inria Sophia Antipolis M?diterran?e, France) Peter J. Thomas (Case Western Reserve University, USA) Our mailing address is: ICMNS 2020 De Boelelaan 1111 Amsterdam, 1081 HV Netherlands Add us to your address book Want to change how you receive these emails? You can update your preferences or unsubscribe [image: Email Marketing Powered by Mailchimp] -------------- next part -------------- An HTML attachment was scrubbed... URL: From mcruz at uni-osnabrueck.de Fri May 7 02:01:23 2021 From: mcruz at uni-osnabrueck.de (mcruz at uni-osnabrueck.de) Date: Fri, 7 May 2021 08:01:23 +0200 Subject: Connectionists: Now Open for Applications! Cognitive Science M.Sc. References: <5f9ccc66-91fe-4f53-ba7a-d171bef9d0d2@Spark> Message-ID: <934c7700-c5a0-4545-b53d-f29ffe402a7a@Spark> Dear all, We?re officially accepting students from all over the world for our new remote?and digital?program of the Cognitive Science M.Sc. program! Apply now and join us this Winter Semester 2021/22! The Institute of Cognitive Science at Osnabr?ck University is offering a new digital track of the Cognitive Science M.Sc. program, which is set to start this Winter Semester 2021/22. The DAAD-funded program targets international students who can complete most of the coursework remotely. Possible focus areas include Artificial Intelligence, Neuroinformatics, and Neuroscience. Visit our website for more details: https://vt.uos.de/cosmos Please do not hesitate to contact us (os-cosmos at uni-osnabrueck.de) with further inquiries! We look forward to hearing from you. Feel free to forward this to anyone you think would be interested. Best wishes, Misha Cruz Wissenschaftliche Mitarbeiterin OS-COSMOS mishael.g.cruz at uni-osnabrueck.de Institut f?r Kognitionswissenschaften und virtUOS Universit?t Osnabr?ck -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.j.geras at nyu.edu Thu May 6 14:26:12 2021 From: k.j.geras at nyu.edu (Krzysztof Jerzy Geras) Date: Thu, 6 May 2021 14:26:12 -0400 Subject: Connectionists: Postdoctoral researcher position in deep learning at NYU Message-ID: *Postdoctoral researcher position in deep learning at NYU* We are looking for a postdoctoral researcher to join our efforts in developing deep learning methods for computer vision, especially medical image analysis. The candidates are expected to have strong machine learning skills to work on methodological advances - improving accuracy, robustness, and explainability of deep neural networks. We are particularly interested in candidates who wish to work on some of the following topics: - reinforcement learning, - vision transformers, - Bayesian neural networks, - causal inference, - transfer learning, - self-supervised learning. The candidate will be based primarily at the NYU School of Medicine and will also work in close collaboration with researchers at NYU Center for Data Science, NYU Courant, and NYU Abu Dhabi. Regular collaborators of our group include Kyunghyun Cho , Carlos Fernandez-Granda , Farah Shamout , and Sumit Chopra . Expected qualifications: - PhD (or near completion) in machine learning or related discipline, - experience with training deep neural networks for computer vision tasks, - excellent programming skills, - ability to work in an interdisciplinary team with members at various levels. Some examples of our recent work: - The break-even point on optimization trajectories of deep neural networks , - An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization , - Differences between human and machine perception in medical diagnosis , - Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization , - Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability . For full consideration, please apply no later than the 30th of June 2021. Start date: as soon as possible. The initial appointment will be for a year, with the option to renew further, depending on performance. To be considered for this position, please send your CV with a list of publications and a brief motivation letter (3-5 sentences is enough) to k.j.geras at nyu.edu. Please use the string ?[deep learning postdoc 2021]? as the subject of the email. Best, Krzysztof J. Geras NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sias at sscc.fr Fri May 7 06:04:24 2021 From: sias at sscc.fr (Symposium IAS ) Date: Fri, 7 May 2021 12:04:24 +0200 Subject: Connectionists: [SIAS 2021, Last Call] Symposium on Intelligent and Autonomous Systems Message-ID: <007901d74328$65877d10$30967730$@sscc.fr> Symposium on Intelligent and Autonomous Systems (SIAS 2021) Virtual. June 21-23, 2021. https://www.sscc.fr/SIAS2021/ SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture ? IAS modeling (formal models, SysML, UML, etc) ? Correct-by-construction in IAS ? MBSE, MDA and DDA for IAS ? Virtualization and digital twins for IAS ? Blockchains and decentralized architecture for IAS ? IAS smart Networking ? Communication protocols for IAS ? Edges, Fog, and Cloud in IAS ? Distributed database for IAS ? Web services for IAS ? Social aspects and human interaction in IAS IAS Analysis ? Artificial intelligence, deep learning, and machine learning in IAS ? Model checking and theorem proving for IAS ? Abstraction and compositional verification for IAS ? Optimization and SAT solvers for IAS ? Dynamic and static analysis for IAS ? Statistical analysis for IAS ? Testing for IAS ? Smart decision making in IAS ? Fog and edge computing for IAS IAS Assurance ? Security specification, requirements, and management in IAS ? Security in distributed IAS ? Modeling, analysis and detection of attacks in IAS ? Data mining for cybersecurity in IAS ? Security protocols for IAS ? Safety policies for IAS ? Safety reinforcement models in IAS ? Safety standard analysis for IAS ? Resilience metrics and models for IAS ? Resilience strategies and plans for IAS ? Recovery systems for IAS resiliency ? Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases ? Applications and Software Platforms for IAS ? IoT and CPS for IAS ? Smart cities ? IAS for industrial and production CPS ? Autonomous robots and vehicles ? Human-Robot Interaction ? Smart logistics (transportation, supply chain, etc) Important Dates ? Submission Date : 09th May,2021 ? Notification to Authors: 25 May, 2021 ? Camera Ready Submission: 4 June, 2021 Submission System ? https://easychair.org/conferences/?conf=sias2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From navlakha at cshl.edu Sat May 8 09:20:57 2021 From: navlakha at cshl.edu (Navlakha, Saket) Date: Sat, 8 May 2021 13:20:57 +0000 Subject: Connectionists: =?utf-8?q?BDA_2021_=E2=80=94_Final_call_for_prese?= =?utf-8?q?ntations?= Message-ID: <70BFB806-1134-4CBA-9D4E-68AD0ADC2CA8@cshl.edu> ======================================================= The 8th Workshop on Biological Distributed Algorithms (BDA 2021) July 29-30, 2021. Virtual event, in conjunction with PODC 2021 https://www.navlakhalab.net/BDA/2021/ ======================================================= We are excited to announce the 8th workshop on Biological Distributed Algorithms (BDA). The aim of the workshop is to foster collaborative research between biologists and distributed computing theory researchers. Such research can lead to a better understanding of the behavior of the biological systems, while at the same time developing novel algorithms that can be used to solve basic distributed computing problems. We invite presentations related to any biological system. The workshop will be virtual, spanning the following two time slots: Thursday, Jul 29, 19:00-21:00 CEST Friday, Jul 30, 17:00-21:00 CEST =========== SUBMISSIONS =========== We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and a 4-page extended abstract. Submission link: https://easychair.org/conferences/?conf=bda20210 Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues. =============== IMPORTANT DATES =============== May 15, 2021 ? Extended abstract submission deadline June 5, 2021 ? Decision notifications July 29-30, 2021 ? Workshop ========================= INVITED SPEAKERS ========================= Dave Ackley - Univ. of New Mexico George Bassel - Univ. of Warwick Josh Bongard - Univ. of Vermont Anne Condon - Univ. of British Columbia Stephanie Forrest - Arizona State Univ. Mike Levin - Tufts Christos Papadimitriou - Columbia Dana Randall - Georgia Tech ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph - CMU Anna Dornhaus - Univ. of Arizona Yuval Emek - Technion (co-chair) Ile Fiete - MIT Amos Korman - CNRS and Univ. of Paris Diderot Nancy Lynch - MIT Frederik Mallmann-Trenn - King's College London Melanie Moses, Univ. of New Mexico Saket Navlakha - Cold Spring Harbor Laboratory (co-chair) Calvin Newport - Georgetown Merav Parter - Weizmann Institute Ted Pavlic - Arizona State Univ. Andrea Richa - Arizona State Univ. From jorgecbalmeida at gmail.com Fri May 7 13:37:24 2021 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Fri, 7 May 2021 18:37:24 +0100 Subject: Connectionists: =?utf-8?q?MarieSk=C5=82odowska-Curie_Postdoctoral?= =?utf-8?q?_Fellowships_at_the_University_of_Coimbra_and_the_Proact?= =?utf-8?q?ion_Lab?= Message-ID: Apologies for cross-posting. Are you (or someone you know) interested in applying to a Marie Sk?odowska-Curie Postdoctoral Fellowships (MSCA-PF) to work on object perception and recognition using neuroimaging, behavioral and computational approaches (fMRI, 256 ch EEG, MRI/EEG fusion, tDCS, DNNs, etc)? A MSCA-PF can be a great boost to your career if you are looking for a prestigious Fellowship that allows you to pursue your own independent research! And are you interested in coming to Portugal and widen your research abilities in this beautiful and welcoming country? Then please contact us: Jorge Almeida and the Proaction Lab, at the University of Coimbra, Portugal, are looking for strong postdoctoral candidates for a conjoint application to a MSCA-PF! The University of Coimbra and the Proaction Lab (Jorge Almeida?s lab) will provide support on the application. At the University of Coimbra we are committed to provide you with individualized support for the success of your application. We offer help in writing the technical/content (from the Proaction Lab) and non-technical sections (from the Proaction Lab and a group of specialized science communicators and managers) of your application, a wide range of re-location services should you become a Fellow and competitive conditions to maximize the transfer of knowledge and impact of your research (please see more info here ). We particularly encourage applications from women, and from underrepresented groups in academia. About the Proaction Lab : The lab is now funded by an ERC grant to Jorge Almeida, as well as several national grants. We are interested in how we recognize objects, how different brain regions encode information and constrain encoding and information processing in different distal areas, and how information is organized in the brain. We are currently moving towards a temporal understanding of these phenomena and so we are now also interested in EEG approaches. We have access to a large pool of participants (close to 200 participants per semester), and to behavioral data collection and presentation equipment. We have access to eyetracking and motion tracking techniques. We also have access to a 3T MRI scanner with a 64-channel coil (with EEG inside the scanner), to a 256 Ch EEG that we have just purchased, and to tDCS with neuronavigation. The University and the City: The University of Coimbra just celebrated our 730-year-old birthday and it has been selected as a UNESCO world Heritage site. It is one of the most prestigious Universities in Portugal, has attracted the largest amount of European funding of all Portuguese Universities, and has the largest international community of students and researchers. The University of Coimbra aims at supporting excellent research to be conducted within its premises and works to attract young researchers to carry out high-quality, innovative research. The University of Coimbra is among the best major science and technology hubs for applied and fundamental research in Portugal. Also, the UC is a founding member of the network Coimbra Group , a group of leading European universities. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. You should contact us as soon as you can! The interested candidates should email Jorge Almeida for questions and applications. Please send an email with the subject ?MSCA-PF - Proaction? with your curriculum vitae, list of publications, 2 reference letters, and a short description of your experience in the field and how you fulfill the requirements (fit with the position) to:jorgealmeida at fpce.uc.pt. We particularly encourage applications from women, and from underrepresented groups in academia. *Choosing the University of Coimbra as your Host Institution* Arrival & Integration A number of services are directly available to provide a smooth arrival and integration in the country and city: ? Welcome by the International Relations Unit (Welcome Centre). ? Help in registration, visa issues and social services, e.g. access to translation phone service Family Support ? Help finding accommodation, kindergarten /school ? Spousal job search department ? Child care and education: - Bilingual schools, such as St. Paul?s School - Public nursery and kindergarten from the Social Services of the University of Coimbra - Other subsidized nursery and kindergarten services Landscape, Tourism & Heritage Coimbra is 2 hours drive away from the airports of Oporto and Lisbon. With a population of roughly 150.000, its size creates a picturesque community-based urban centre around the University of Coimbra . Classified as UNESCO World heritage site in 2013, the monuments, history and culture of Coimbra hold a prominent position. The landscape and nature of the central region of Portugal offers an exceptionally high standard of quality of life to Coimbra?s inhabitants. 1 h away from the surrounding mountains, Coimbra provides easy access to explore hiking routes, natural waterfalls, natural lakes, among others. 45 min away from the Atlantic Coast, Coimbra is well-positioned to reach the beach and practice aquatic sports, such as surfing. The gastronomy of the central region is also not to be missed. *Support services @UC* Type of incentive UC Entity Support with the submission process DAPI: dapi at uc.pt Support for international degree recognition by UC/Portugal PT: https://www.uc.pt/academicos/graus/reconhecimentos EN: https://www.uc.pt/en/academicos/graus/reconhecimentos +Inf: iii at uc.pt Support for housing SASUC PT: https://www.uc.pt/sasuc EN: https://www.uc.pt/en/sasuc Welcome services DRI PT: https://www.uc.pt/driic EN: https://www.uc.pt/en/driic Travel and visa support DRI PT: https://www.uc.pt/driic EN: https://www.uc.pt/en/driic *To be discussed with your host institution or research centre at UC to maximise impact:* ? Teaching opportunities in post-graduate courses ? Training opportunities ? Opportunities for mentoring and formal supervision of masters? and doctoral students ? Opportunities for tenure-track career applications ? Support in the dissemination and communication of the results -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sat May 8 07:47:02 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sat, 8 May 2021 14:47:02 +0300 Subject: Connectionists: First International Conference on ICT for Health, Accessibility and Wellbeing (IHAW 2021): Fourth Call for Papers Message-ID: *** Fourth Call for Papers *** First International Conference on ICT for Health, Accessibility and Wellbeing (IHAW 2021) November 8-10, 2021, Golden Bay Hotel 5*, Larnaca, Cyprus http://cyprusconferences.org/ihaw2021/ (Proceedings to be published by Springer; Special Journal Issue with SN Computer Science) ICT for Health, Accessibility and Wellbeing (IHAW 2021) is the first of the series of International Conferences on "ICT for Societal Challenges". It is a showcase for high quality oral and poster presentations and demonstrations sessions. This conference aims to be a platform for multi and interdisciplinary research at the interplay between Information and Communication Technologies, Biomedical, Neuro-cognitive, and Experimental research. This research includes the design, experimental evaluation and standardization of new ICT scalable systems and in-silico systems for new and future inclusive and sustainable technologies that benefit all: healthy people, people with disabilities or other impairments, people having chronic diseases, etc. User-centered design and innovation, new intuitive ways of human -computer interaction, and user acceptance are the topics of particular interest. Conference Topics Relevant topics include (but are not limited to) the following: ? AI and Cognition, Cognitive Mechatronics, Human-Machine Interaction, Cobotics, Model-based design and configuration tools for healthcare and well-being, AI methods for medical device testing ? Systems for management of health and care (mental health, pain, neurological disorders, sight, hearing, balance, space awareness; sensory based physiological and psychological non-invasive measurements, preventive healthcare, m-healthcare, e-healthcare, integrated care, serious games, electronic health record, self-management, patient-centered systems for survivorship, palliation and/or end-of-life care) ? Precision medicine ? ICT for in-silico trials ? Implantable medical devices ? Computational methods for medical device ? Models for human-device interaction for medicine ? Systems promoting access to the socio-economical and cultural environment ? Age-friendly systems for active and healthy aging (telepresence, robotics solutions, innovative solutions for independent living, innovative elderly care, integrated care, age-related risks prevention/detection) ? Multimodal assistive ICT devices to empower people with sensory, cognitive, motor, balance and spatial impairments ? ICT systems to improve the quality of life and for daily life activities assistance (education, recreation, and nutrition) ? Smart living homes and wearables (Intelligent and personalized digital solutions for sustaining and extending healthy and independent living; personalized early risk detection and intervention) ? New experimental validation methods with end-users ? Standardization, certification, labeling, privacy, security and communication issues (related to aging well, to sensory impairment) High-quality original submissions that address such future issues, show the design and evaluation in (near-) real scenarios, explain how to benchmark systems, and outline the education and training procedures for acquiring new perceptual skills while using such systems are welcome. Research and technical papers are expected to present significant and original contributions validated with the targeted end-users. Early works and works- in-progress are invited to submit a short or demo paper. Submissions should clearly state the progress beyond the existing state-of- the-art and the expected societal benefits of the developed technology. When possible, validate scenarios with the target user groups and well-identified technology readiness levels (https://en.wikipedia.org/wiki/Technology_readiness_level) should be at least outlined. Submissions We invite three types of paper submissions: 1. Research and Technical papers, up to 15 pages, describing original unpublished research, making a substantial contribution to the research field 2. Short papers, up to 6 pages, describing original unpublished research, making a small but solid contribution to the field 3. Demos, up to 4 pages, describing innovative tools that address topics relevant to the conference All submissions will be reviewed by the Program Committee. Accepted contributions will appear in the archival proceedings of IHAW 2021, published by Springer in the Communications in Computer and Information Science (CCIS) series (https://www.springer.com/series/7899), and will be presented in plenary sessions of the conference. The authors of the best papers accepted for IHAW2021 will be invited to submit extended versions for a special issue with SN Computer Science (https://www.springer.com/journal/42979). Submissions of all types should be carefully formatted according to the Springer format for conference proceedings: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines and should specify on the first page the type of submission ("R&T", "Short", "Demo"). The submission process will be handled through Easy Chair and the submission link is: https://easychair.org/conferences/?conf=icihaw2021 . Important Dates ? Submission Deadline: June 7, 2021 (AoE) ? Notification: August 23, 2021 ? Camera-Ready Submission Deadline: September 6, 2021 ? Author Registration Deadline: September 6, 2021 Organizers Honorary General Chair ? Edwige Pissaloux, University of Rouen Normandy, France General Chair ? George A. Papadopoulos, University of Cyprus, Cyprus Scientific Chair ? Salim Bouhlel, University of Sfax, Tunisia Scientific Vice-Chair ? Achilleas Achilleos, Frederick University, Cyprus Publicity Chair ? Ramiro Velazquez, Universidad Panamericana, Mexico Finance Chair ? Petros Stratis, Easy Conferences LTD., Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Fri May 7 19:02:09 2021 From: cgf at isep.ipp.pt (Carlos) Date: Sat, 8 May 2021 00:02:09 +0100 Subject: Connectionists: =?utf-8?q?CFP=3A_SoGood_2021=E2=80=93_6th_Worksho?= =?utf-8?q?p_on_Data_Science_for_Social_Good_=28ECML-PKDD_2021=29?= Message-ID: <7aa6a75c-88af-0b10-1502-a3b910483c67@isep.ipp.pt> Call for papers SoGood 2021 ? 6th Workshop on Data Science for Social Good Affiliated with ECML-PKDD 2021, 13-17 September 2021 Workshop URL: https://sites.google.com/view/ecmlpkddsogood2021 This is the sixth edition of the workshop; the previous workshops were held jointly with ECML-PKDD 2016, 2017, 2018, 2019 and 2020. The possibilities of Data Science for contributing to social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models" or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of social impact of the application. This workshop aims to attract papers presenting applications of Data Science for Social Good (which may, or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes: * Government transparency and IT against corruption * Public safety and disaster relief * Access to food, water, and utilities * Efficiency and sustainability * Data journalism * Economic, social, and personal development * Transportation * Energy * Smart city services * Education * Social services, unemployment and homeless * Healthcare * Ethical issues, fairness, and accountability. * Trustability and interpretability Topics aligned with the UN development goals The major selection criteria will be the novelty of the application and its social impact. Position papers are welcome too. We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organisations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects, which may not be strictly "non-profit" but have Social Good as their main focus. There will be an award for the best paper. Paper submission: Authors should submit a PDF version in Springer LNCS style using EasyChair. The maximum length of papers is 16 pages, consistent with the ECML PKDD conference submissions. Submitting a paper to the workshop means that if the paper is accepted, at least one author will attend the workshop and present the paper. Papers not presented at the workshop will not be included in the proceedings. In light of COVID-19, we will follow ECML PKDD?s policy for virtual attendance and presentation. Paper publication: Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops. Workshop format: Full-day workshop 1-2 keynote talks, speakers to be announced Oral presentation of accepted papers Panel discussion with the audience Carlos Ferreira [https://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Fri May 7 14:16:04 2021 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Fri, 7 May 2021 19:16:04 +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 . 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* ). Call for applications will open in July, 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). 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: From m.biehl at rug.nl Mon May 10 04:33:48 2021 From: m.biehl at rug.nl (Michael Biehl) Date: Mon, 10 May 2021 10:33:48 +0200 Subject: Connectionists: Tenure Track Assistant Professorships (educational profile) Message-ID: If you have a background and strong interest in Machine Learning, Neural Networks, Data Science etc. consider applying (deadline: 16 May) for one of *several Tenure Track Assistant Professorships* *with* *educational profile* at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence: The positions will be devoted to Data Science and Systems Complexity: vacancy text - Human Centred Artificial Intelligence: vacancy text - Machine Learning: vacancy text - Programming Languages and Systems: vacancy text - - Mathematics with a focus on Interdisciplinary Mathematics Education: vacancy text - ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From naotsugu.tsuchiya at monash.edu Sun May 9 22:01:58 2021 From: naotsugu.tsuchiya at monash.edu (Nao Tsuchiya) Date: Mon, 10 May 2021 12:01:58 +1000 Subject: Connectionists: Information Structure of Brain and Qualia Symposium In-Reply-To: References: Message-ID: Dear all, Please see the announcement of the zoom-based symposium on Information Structure of Brain and Qualia Symposium. Date and Time: 8:00 - 10:10 (JST) Wednesday, May 12th Translate to your time zone. Title: Information Structure of Brain and Qualia Symposium We are excited to announce our Information Structure of Brain and Qualia Symposium! Our two speakers are Dr. Marieke Mur from Western University in Canada and Dr. Shinji Nishimoto from CiNet in Japan. All details can be found below. Please fill in the registration form here to receive the information about the zoom. The content of the symposium will be live broadcasted on Youtube and archived as well. Schedule: 8:00-8:10 Introduction 8:10-8:40 Talk 1: Dr. Marieke Mur, ?Predicting perceptual representations from brain activity? 8:40-9:00 Panel Discussion Q&A 9:00-9:15 Break 9:15-9:45 Talk 2: Dr. Shinji Nishimoto, ?Predicting perceptual representations from brain activity? 9:45-10:00 Panel Discussion Q&A 10:00-10:10 Closing Regards Nao Tsuchiya Predicting perceptual representations from brain activity Object representations in human high-level visual cortex are at the interface between perception and cognition. What is the nature of these representations, and how are they computed? Furthermore, can they predict human perception? I will address these questions using representational similarity analysis, an experimental and data-analytical framework for relating brain activity data, behaviour, and computational models. I will focus on experimental data acquired in healthy human participants while they were viewing object images from a wide range of natural categories, including faces and places. The data consist of functional magnetic resonance imaging (fMRI) data from visual cortex and object-similarity judgments, which were acquired outside the fMRI scanner. I will show that object representations in high-level visual cortex are at once categorical and continuous, and can be explained similarly well by category labels, visual features of intermediate complexity, and deep convolutional neural networks. Among the visual features, it is those correlated with category membership that explain the high-level visual object representation. I will further show that the high-level object representation predicts human object-similarity judgments reasonably well, but fails to capture evolutionary more recent category divisions present in the judgments. These more recent category divisions are human-related and reflect the distinction between humans and nonhuman animals, and between manmade and natural objects. Together, these findings suggest that high-level visual cortex has developed feature detectors that distinguish between categories of long-standing evolutionary relevance, and that other brain systems might adaptively read out or introduce category divisions that serve current behavioural goals. Encoding and decoding of cognitive functions Shinji Nishimoto Predictive modeling of brain activity has been used to reveal how the brain represents diverse perceptual phenomena, including visual, auditory, semantic, emotional, and linguistic experiences. These studies have provided the representational structure of perceptual contents, the macroscopic functional structure across the brain, and the quantitative frameworks to decode experiences from brain activity. However, many of these studies focused on passive experiences, and relatively little was known about how such studies might be generalized to explain more active cognitive experiences. Recently, we have extended the modeling approach to cognitive functions. We recorded brain activity while human participants performed 103 cognitive tasks, including audiovisual recognition, memory formation and recall, logical judgement, introspections, time perception, prediction, decisions on ethics and beauty, and motor controls. We built encoding and decoding models of the evoked brain activity using latent cognitive features. These models revealed internal structures and fine-scale cortical mappings of cognitive features and decoded brain activity that can be generalized even under novel tasks. Our framework provides a powerful step toward the comprehensive and quantitative understanding of human perceptual and cognitive experiences. -- -- Professor Nao (Naotsugu) Tsuchiya, PhD School of Psychological Sciences Turner Institute for Brain and Mental Health * Brain Mapping and Modelling Program* Monash University 770 Blackburn Monash Biomedical Imaging facility, Clayton, VIC 3168 Australia T: +61 3 9905 4564 E: naotsugu.tsuchiya at monash.edu W: homepage : Tw: @conscious_tlab YouTube : neural basis of consciousness 2. Visiting Researcher at Department of Dynamic Brain Imaging, Advanced Telecommunications Research (ATR), Japan 3. Visiting Researcher at CiNet, Osaka University, Japan orcid.org/0000-0003-4216-8701 -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.M.Bohte at cwi.nl Mon May 10 05:13:04 2021 From: S.M.Bohte at cwi.nl (Sander Bohte) Date: Mon, 10 May 2021 11:13:04 +0200 Subject: Connectionists: Spiking Neural Network positions at CWI Bohte-lab Message-ID: <9F9CC7AC-92E9-4DA6-86D5-D1F99346D507@cwi.nl> Two SNN related positions at the Machine Learning group at CWI, with Sander Bohte: - a tenure-track position on -broadly defined- neuromorphic computing - a postdoc position on spiking neural networks in the broader context of autonomous agents. CWI is the Netherlands' national research institute for mathematics and computer science, the place where Guido van Rossum developed Python and David Chaum developed DigiCash. CWI has a friendly, cooperative and innovative research atmosphere, excellent support staff and is located centrally in Amsterdam. Details for the positions and guidelines for how to apply can be found here: - tenure-track position: https://www.cwi.nl/jobs/vacancies/877543 - postdoc: https://www.cwi.nl/jobs/vacancies/878076 Sander Bohte From a.passarella at iit.cnr.it Mon May 10 06:00:01 2021 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Mon, 10 May 2021 12:00:01 +0200 (CEST) Subject: Connectionists: OSNEM Special Issue: Online Social Networks and Media: human behaviour under big data microscopes - Deadline June 30th Message-ID: <20210510100001.255481630086@magneto.iit.cnr.it> ------------------------------------------------------------------------------ CALL FOR PAPERS Elsevier Online Social Networks and Media Journal (OSNEM) Special issue on Online Social Networks and Media: human behaviour under big data microscopes Submission Deadline: June 30th, 2021 https://www.journals.elsevier.com/online-social-networks-and-media ------------------------------------------------------------------------------ Online Social Networks and Media are a fundamental component of the cyber-physical convergences, representing one of the main bridges between the human behaviour across the physical and virtual worlds. Therefore, the ???trails??? users leave behind while using OSNEM can be mined, via big data analytics and AI, to characterize individual and social human behaviours at an unprecedented scale. Moreover, the speed at which events can be detected via OSNEM data analysis makes OSNEM a prime way to monitor the evolution of human behaviours and nowcast their development and consequences in both the physical and virtual worlds. For example, OSNEM can be used to shed light, through big data analysis, on the diffusion of COVID-19 in the real world. This special issue seeks contributions pushing the state of the art in all facets of the use of OSNEM as big data microscopes to investigate complex human individual and social behaviours. We solicit manuscripts presenting quantitative analysis and modelling based on BigData collected from OSNEM. Within this framework, topics include, but are not limited to: - Analysis of social structures via OSNEM - Analysis and modelling of information and opinion dynamics in OSNEM - Early detection of critical phenomena in the cyber and physical worlds - Prediction of (near-)future events based on OSNEM data analysis - OSNEM monitoring and analysis for the protection of users and critical infrastructures - Mobility characterization and modelling - Characterisation of users??? behaviour in smart cities - OSNEM data-driven approaches to study COVID-19 related phenomena - Pandemic tracking and control via OSNEM big data analysis - Models of individual and social behaviour through OSNEM big data during the pandemic - OSNEM users??? characterization for mass customization of products and services - Analysis of large social phenomena (e.g., political movements) via OSNEM big data - Privacy-preserving big data analytics for human behaviour characterisation - Efficient methodologies for large-scale OSNEM data collection and analysis Online Social Networks and Media is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behaviour. Manuscripts only based on questionnaires, even focused on the reported use of social media, are outside the scope of the journal. On the other hand, the journal welcomes papers which present analyses based on big data mined from social networks/media. ----------------------------------------------------------------------------- Schedule Manuscript submission deadline: June 30th, 2021 First notification: August 31th, 2021 Expected publication: Q4, 2021 Guest Editors Marco Conti, IIT-CNR, Italy Andrea Passarella, IIT-CNR, Italy ------------------------------------------------------------------------------ Instructions for submission Manuscripts must not have been previously published nor currently under review by other journals or conferences. Papers previously published in conference proceedings are eligible for submission if the submitted manuscript is a substantial revision and extension of the conference version. In this case, authors should indicate the previous publication(s) in the cover letter and are also required to submit their published conference article(s) and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www.editorialmanager.com/osnem/default.aspx. Please select ''VSI:big data microscope'' when you reach the ''Article Type'' step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on ''big data microscope''. Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published in the journal website. For further information, please contact the guest editors at osnem at iit.cnr.it From kc.w at cityu.edu.hk Mon May 10 05:48:10 2021 From: kc.w at cityu.edu.hk (Dr. Ka Chun WONG) Date: Mon, 10 May 2021 09:48:10 +0000 Subject: Connectionists: [2nd CFP] 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2021) Message-ID: 2nd CFP: 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2021) The 2021 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2021) will be held in Cairo, Egypt during November 21-22, 2021. The main objective of ISCMI 2021 is to present the latest research and results of scientists related to Soft Computing & Machine Intelligence topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up- to- date scientific fields. ISCMI 2021 is organized by India International Congress on Computational Intelligence(IICCI), and technically sponsored by the IEEE Africa Council and and IEEE Computational Intelligence Society (Egypt Chapter). All submissions will be peer reviewed, and all accepted papers will be published in ISCMI 2021 conference proceedings which are expected to be included in IEEE Xplore and indexed by EI Compendex, Scopus, etc. A special issue of "Neural Computing & Applications", a Springer Publication [SCIE indexed, 2019 lmpact Factor : 4.774, 5 Year Impact Factor : 4.627; ISSN: 0941-0643 (print version) ISSN: 1433-3058 (electronic version)], will publish a selected set of extended versions of ISCMI21 papers (to be shortlisted after the conference), after the usual reviewing of those papers. (ISCMI 2014 & ISCMI2015 & ISCMI2016 & ISCMI2017 & ISCMI2018 & ISCMI2019 have been included in the IEEE Xplore?) Papers of ISCMI2014 & ISCMI2015 & ISCMI2016 & ISCMI2017 & ISCMI2018 & ISCMI2019 have all been indexed by Ei Compendex and Scopus! Topics of interest for submission include, but are not limited to: Advanced Intelligent Systems Ant Colony Optimization and Swarm Intelligence Artificial Immune Systems Artificial Intelligence Artificial Life Associative Memory Automatic Annotation Bioinformatics and Biological Computing Case-Based and Temporal Reasoning Cognitive Science Computational Intelligence Computational Intelligence in Bioinformatics and Computational Biology Computer Vision Systems Connectionism Data Fusion Data Mining and Data Fusion Data Mining and Knowledge Discovery Decision Support Systems Distributed Artificial Intelligence DNA Computing Emotional Intelligence Evaluation and Refinement of Intelligent Systems Evolutionary Computation Evolutionary Optimization Evolutionary Strategies Feature Extraction Firefly Algorithm Fuzziness in Chaotic Systems Fuzziness in Multi-Agent Systems Fuzzy Aggregation Techniques Fuzzy Control Fuzzy Decision Making Fuzzy Inference Fuzzy Logic and Systems Fuzzy Mathematics Fuzzy Optimisation Fuzzy Reconfigurable Systems Fuzzy Systems and Hardware Genetic Algorithms Human-machine Interaction Intelligent Classification Intelligent Control Intelligent Distributed Sensor Networks Intelligent Hybrid Systems Intelligent Image Processing Intelligent Information Retrieval Intelligent Information Systems Intelligent Measurement Intelligent Signal Processing Intelligent Systems Intelligent Tutoring Systems Interval Computation Knowledge Discovery Knowledge Representation Learning and Memory Logical and Probabilistic Inference Machine Learning Mechatronics Modeling the Real World through Contexts Multi-Agent Systems Multimedia Mining Natural Language Processing Neural Networks Neuro-fuzzy Systems Ontology-based Intelligent Systems Particle Swarm Optimization Pattern Recognition Probabilistic Reasoning Reinforcement Learning Robotic Technologies Rough Sets Spatio-Temporal Reasoning Statistical and Structural Pattern Recognition Support Vector Machines Swarm Intelligence Syntactic and Semantic Processing Uncertain Reasoning Web Mining Submission Methods 1.Full Paper (Presentation and Publication) Accepted full paper will be invited to give the oral presentation at the conference and be published in the conference proceeding. 2.Abstract (Presentation only) Accepted abstract will be invited to give the oral presentation at the conference, the presentation will not be published. Please log in the Electronic Submission System; ( .pdf only) to submit your full paper and abstract. http://iscmi.us/index.html http://iscmi.us/submission.html For any inquiry about the conference, please feel free to contact us at: s... at iscmi.us. Page Requirements Each paper should have no less than 4 pages normally, including all figures, tables, and references. One regular registration is within FIVE Pages. Extra pages will be charged. Submission Requests All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated. If an author is found to commit an act of plagiarism, the following acts of sanction will be taken: 1. Reject the article submitted or delete the article from the final publications. 2. Report the authors violation to his/her supervisor(s) and affiliated institution(s) 3. Report the authors violation to the appropriate overseeing office of academic ethics and research funding agency. 4. Reserve the right to publish the authors name(s), the title of the article, the name(s) of the affiliated institution and the details of misconduct, etc. of the plagiarist?. Thanks for attention. Kind Regards, Ka-Chun ---------------------------------------------- Ka-Chun Wong BEng, MPhil (CUHK), PhD (Toronto) Department of Computer Science City University of Hong Kong kc.w at cityu.edu.hk 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 Sofia.Delafuente at ed.ac.uk Mon May 10 06:33:51 2021 From: Sofia.Delafuente at ed.ac.uk (DE LA FUENTE GARCIA Sofia) Date: Mon, 10 May 2021 10:33:51 +0000 Subject: Connectionists: FW: Corpus Curiosum series In-Reply-To: References: , , Message-ID: Dear Fellow Neuroscientists, I would like to introduce you the Corpus Curiosum, a lecture series catering to early career researchers in Neuroscience which aims to promote critical thinking within the field and beyond. The scope covers a very wide range of topics that I believe to be of interest to all of us. The third edition of lectures is in June ? see attached a PDF with more details. Please use this link to register: https://www.eventbrite.co.uk/e/copy-of-corpus-curiosum-lecture-series-iii-registration-154071739721?aff=uk Please feel free to circulate! Best wishes, Sofia de la Fuente Garcia As Corpus Curiosum Ambassador Research Fellow Usher Institute College of Medicine and Veterinary Medicine University of Edinburgh https://www.ed.ac.uk/profile/sofia-de-la-fuente [Graphical user interface, text, application Description automatically generated] [Text Description automatically generated with medium confidence] The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th? ann an Oilthigh Dh?n ?ideann, cl?raichte an Alba, ?ireamh cl?raidh SC005336. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: Corpus Curiosum Lecture Series - Edition III - Invite.pdf Type: application/pdf Size: 1589643 bytes Desc: Corpus Curiosum Lecture Series - Edition III - Invite.pdf URL: From benabbessarra at gmail.com Mon May 10 08:42:05 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Mon, 10 May 2021 14:42:05 +0200 Subject: Connectionists: [CFP] 1st International Workshop on Ontology Uses and Contribution to Artificial Intelligence Message-ID: Dear colleagues and researchers, Please consider submitting a paper for the 1st International workshop on "Ontology Uses and Contribution to Artificial Intelligence" which will be held online or in Hanoi, Vietnam - November 6-12, 2021. ***** OnUCAI - CALL FOR PAPERS **** * *Ontology Uses and Contribution to Artificial Intelligence* * 1st International Workshop, in conjunction with *KR 2021 * November 6-12, 2021 - Online or in Hanoi, Vietnam* https://sites.google.com/view/onucai-kr2021 ** Important dates ** - *Workshop paper submission due: *July 02, 2021 - *Workshop paper notifications: *August 06, 2021 - *Workshop paper camera-ready versions due: *September 06, 2021 - *Workshop registration deadline: *TBA - *Workshop: *November 06-12, 2021 All deadlines are 23:59 anywhere on earth (UTC-12) ** Workshop description ** An ontology is well known to be the best way to represent knowledge in a domain of interest. It is defined by Gruber as ?an explicit specification of a conceptualization?. It allows us to represent explicitly and formally existing entities, their relationships and their constraints in an application domain. This representation is the most suitable and beneficial way to solve many challenging problems related to the information domain (e.g., knowledge representation, knowledge sharing, knowledge reusing, automated reasoning, knowledge capitalizing and ensuring semantic interoperability among heterogeneous systems). Using ontology has many advantages, among them we can cite ontology reusing, reasoning and explanation, commitment and agreement on a domain of discourse, ontology evolution and mapping, etc. As a field of artificial intelligence (AI), ontology aims at representing knowledge based on declarative and symbolic formalization. Combining this symbolic field with computational fields of IA such as Machine Learning (ML), Deep Learning (DL), Probabilistic Graphical Models (PGMs), Computer Vision (CV) and Natural Languages Processing (NLP) is a promising association. Indeed, ontological modeling plays a vital role to help AI reducing the complexity of the studied domain and organizing information inside it. It broadens AI?s scope allowing it to include any data type as it supports unstructured, semi-structured, or structured data format which enables smoother data integration. The ontology also assists AI for interpretation process, learning, enrichment, prediction, semantic disambiguation and discovering of complex inferences. Finally, the ultimate goal of ontologies is the ability to be integrated in a software to make sense of all information. In the last decade, ontologies are increasingly being used to provide background knowledge for several AI domains in different sectors (e.g. energy, transport, health, banking and insurance, etc.). Some of these AI domains are: - Machine learning and deep learning: semantic data selection, semantic data pre-processing, semantic data transformation, semantic data prediction, semantic clustering correction of the outputs, semantic enrichment with ontological concepts, use the semantic structure for promoting distance measure, etc. - Probabilistic Graphical Models: learning PGM (structure or parameters) using ontologies, probabilistic semantic reasoning, semantic causality and probability, etc. - Computer Vision: semantic image processing, semantic image classification, semantic object recognition/classification, etc. - Blockchain: semantic transactions, interoperable blockchain systems, etc. - Natural Language Processing: semantic text mining, semantic text classification, semantic role labelling, semantic machine translation, semantic question answering, ontology based text summarizing, semantic recommendation systems, etc. - Robotics: semantic task composition, task assignment, communication, cooperation and coordination, etc. - Voice-video-speech: semantic voice recognition, semantic speech annotation, etc. - Game Theory: semantic definition of specific games, semantic rules and goals definition, etc. - etc. ** Objective ** This workshop aims at highlighting recent and future advances on the role of ontologies and knowledge graphs in different domains of AI and how it can be used in order to reduce the semantic gap between the data, applications, machine learning process, etc., in order to obtain a semantic-aware approaches. In addition, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in ontologies and AI approaches. We invite the submission of original works that is related -- but are not limited to -- the topics below. ** Topics of interests ** - Ontology for Machine Learning/Deep Learning - Ontology for Probabilistic Graphical Models - Ontology for Federated Machine Learning - Ontology for Smart Contracts - Ontology for Computer Vision - Ontology for Natural Language Processing - Ontology for Robotics and Multi-agent Systems - Ontology for Voice-video-speech - Ontology for Game Theory - and so on. ** Submission * * The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions are not anonymous and must be PDF documents written in English and formatted using the following style files: *KR2021_authors_kit * Papers are to be submitted through the workshop's *EasyChair * submission page. We welcome the following types of contributions: - *Full papers* of up to 9 pages, including abstract, figures and appendices (if any), but excluding references and acknowledgements: Finished or consolidated R&D works, to be included in one of the Workshop topics. - *Short papers* of up to 4 pages, excluding references and acknowledgements: Ongoing works with relevant preliminary results, opened to discussion. At least one author of each accepted paper must register for the workshop, in order to present the paper. For further instructions, please refer to the *KR 2021 * page. ** Workshop chairs ** - Sarra Ben Abb?s, Engie, France - Lynda Temal, Engie, France - Nada Mimouni, CNAM, France - Ahmed Mabrouk, Engie, France - Philippe Calvez, Engie, France ** Program Committee ** - TBD **Publication* The best papers from this workshop may be included in the supplementary proceedings of KR 2021. -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon May 10 09:36:16 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 10 May 2021 09:36:16 -0400 Subject: Connectionists: CfP ISWC 2021 - Call for Industry papers, Posters, Demos and Lightning Talks In-Reply-To: References: Message-ID: 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org In this announcement: 1. Call for Industry Papers 2. Call for Posters, Demos, and Lightning Talks 1. Call for Industry Papers ******************************************* The Industry Track at ISWC 2021 covers all aspects of innovative commercial or industrial-strength knowledge graphs and semantic technologies in order to showcase the state of adoption. Knowledge graphs and semantic technologies are being used in various industries, including automotive, manufacturing, retail, e-commerce, media, finance, telecommunications, healthcare, life sciences, energy, government, intelligence, smart cities, cultural heritage among many others. It enables applications capabilities as varied as business intelligence, analytics, search, content management, knowledge management, recommendation systems, information extraction, master data management, data integration and more. We welcome contributions about case studies of success stories, as well as discussion reports of obstacles that stand in the way of large-scale adoption of knowledge graph and semantic technologies. We also welcome experience reports in applying recent research advances to relevant industry problems. Track details: https://iswc2021.semanticweb.org/industry-track-call Track chairs: - Juan Sequeda (data.world, Austin, US) - Lorena Etcheverry (Instituto de Computaci?n, Universidad de la Rep?blica, Uruguay) ***** Important Dates ***** - Papers due: 2 August 2021 - Notifications: 1 September 2021 - Camera-ready paper due: 20 September 2021 2. Call for Posters, Demos, and Lightning Talks ******************************************* The ISWC 2021 Posters and Demos Track complements the paper tracks of the conference by offering an opportunity to present late-breaking research results, on-going research or resource projects, and speculative or innovative work in progress. The Lightning Talks track will open a few weeks before ISWC 2021 takes place. We invite submissions relevant to the area of the Semantic Web and which address, but are not limited to, the topics of the Research Track, the Resources Track, the In-Use Track, and the Industry Track. We also invite Visionary ideas, Position statements, Negative results, Outrageous ideas, Novel but thoughtful speculation, and Humorous thoughts (or similar). Track details: https://iswc2021.semanticweb.org/posters-demos Track chairs: - Catia Pesquita (Universidade de Lisboa, Portugal) - Oshani Seneviratne (Rensselaer Polytechnic Institute, NY, USA) Contact: iswc2021-poster-demo at easychair.org ***** Important Dates ***** - Papers due: 5 July 2021 - Notifications: 28 July 2021 - Camera-ready paper due: 1 September 2021 *** All deadlines are AoE (Anywhere on Earth) *** Submission link for all papers: https://easychair.org/conferences/?conf=iswc2021 Follow ISWC on social media: - Twitter: @iswc_conf #iswc_conf (https://twitter.com/iswc_conf) - LinkedIn: https://www.linkedin.com/groups/13612370 - Facebook: https://www.facebook.com/ISWConf The ISWC 2021 Organising Team https://iswc2021.semanticweb.org/organizing-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Mon May 10 09:32:12 2021 From: m.biehl at rug.nl (Michael Biehl) Date: Mon, 10 May 2021 15:32:12 +0200 Subject: Connectionists: Postdoctoral fellowships at SMQB, Birmingham / UK Message-ID: Three 3-year research fellowships (Centre Fellows) are available within the Centre for Systems Modelling and Quantitative Biomedicine (SMQB): a new strategic activity at the University of Birmingham/UK. Relevant and up to date knowledge in one or more of the following areas: Dynamical Systems, Complex Networks Parameter Inference (including Bayesian Methods) Machine Learning, Neural Networks, Artificial Intelligence Clinical Data Analytics and Visualisation Advanced (Medical) Imaging Diagnostics and Clinical Decision Support Systems For details, see https://www.jobs.ac.uk/job/CFN306/centre-fellow -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 https://www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From amulya at psu.edu Mon May 10 11:23:11 2021 From: amulya at psu.edu (Amulya Yadav) Date: Mon, 10 May 2021 20:53:11 +0530 Subject: Connectionists: Paper Extension Deadline: IJCAI Workshop on Artificial Intelligence for Social Good (AI4SG 2021) Message-ID: Dear all, The deadline for paper submission at the Artificial Intelligence for Social Good Workshop at IJCAI 2021 has been moved by a week. The new deadline is 17th May at 11:59 PM AOE (anywhere on earth). Please consider submitting your work to this venue. *-----------------------------------------------------------------------------------* *Apologies for cross-posting!* *3rd International Virtual IJCAI Workshop on Artificial Intelligence for Social Good (AI4SG 2021)* *Website*: https://amulyayadav.github.io/AI4SG2021/ *Submission Link*: https://easychair.org/conferences/?conf=ai4sg2021 *Important Dates:* Paper Submission Deadline: May 17th, 2021 AOE Notification of Acceptance/Rejection: June 1st, 2021 Workshop Date: August 21st, 2021 *Scope* The field of Artificial Intelligence stands at an inflection point, and there could be many different directions in which the future of AI research could unfold. Accordingly, there is a growing interest to ensure that current and future AI research is used in a responsible manner for the benefit of humanity (i.e., for social good). To achieve this goal, a wide range of perspectives and contributions are needed, spanning the full spectrum from fundamental research to sustained deployments in the real-world. This workshop will explore how AI research can contribute to solving challenging problems faced by current-day societies. For example, what role can AI research play in promoting health, sustainable development and infrastructure security? How can AI initiatives be used to achieve consensus among a set of negotiating self-interested entities (e.g., finding resolutions to trade talks between countries)? To address such questions, this workshop will bring together researchers and practitioners across different strands of AI research and a wide range of important real-world application domains. The objective is to share the current state of research and practice, explore directions for future work, and create opportunities for collaboration. In addition, the workshop will place a special emphasis on highlighting AI approaches for tackling the COVID-19 pandemic. The organizers believe that AI research has an important role to play in providing unique insights about the pandemic and developing targeted responses; we encourage submissions from both AI researchers as well as epidemiologists, health policy researchers, and other domain experts who are interested in engaging with the IJCAI community. *Topics of Interest* We are interested in a broad range of research topics, both foundational and applied. Topics of interest include, but are not limited to: - Applications of Learning and Optimization in Societally Beneficial Domains - AI Approaches for COVID-19 - Real-world applications of game theory for security - Cybersecurity - Security applications of machine learning - Foundations of game theory for security - Adversarial/robust learning - Fake news control - Privacy protection - Agent/human interaction for preference elicitation and optimization - Protection against environmental crime - Explainable Artificial Intelligence - AI Environmental Sustainability - AI for Democracy in the Developing World *Submission Details* Submission Types - Technical Papers: Full-length research papers of up to 6 pages (excluding references and appendices) detailing high quality work in progress or work that could potentially be published at a major conference in IJCAI format. - Short Papers: Position or short papers of up to 4 pages (excluding references and appendices) in IJCAI format that describe initial work or the release of privacy-preserving benchmarks and datasets on the topics of interest. All papers must be submitted in PDF format, using the IJCAI-21 author kit . Submissions should include the name(s), affiliations, and email addresses of all authors. Submissions will be refereed on the basis of technical quality, novelty, significance, and clarity. Each submission will be thoroughly reviewed by at least two program committee members. Submissions of papers rejected from the AAMAS 2021 and IJCAI 2021 technical program are welcomed. Regards, Amulya Yadav PNC Career Development Assistant Professor Penn State University http://amulyayadav.com (On behalf of the AI4SG Organizing Committee) Regards, Amulya Yadav PNC Career Development Assistant Professor Penn State University http://amulyayadav.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Mon May 10 20:28:05 2021 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 11 May 2021 00:28:05 +0000 Subject: Connectionists: SBP-BRiMS'2021 -- Still time for Late-breaking papers, Doctoral Consortium, Tutorials, Challenge Problems In-Reply-To: References: , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2021 2021 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 6--9, 2021 Conference will be Virtual http://sbp-brims.org/ #sbpbrims SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. IMPORTANT DATES: Regular Paper Submission: 16-April-2021 (Midnight EST) Author Notification: 06-May-2021 Camera-ready Submission (Regular Papers): 16-May-2021 Working/Late-breaking Paper: 23-May-2021 Doctoral Consortium: 1-June-2021 Tutorial, Demo Submission: 23-May-2021 Acceptance Notification: 14-June-2021 Challenge Submission: 23-May-2021 Challenge Notification: 14-June-2021 Final Video and PowerPoint Submission: 28-June-2021 Submit your paper here. Until the final paper deadline, you will be able to update your submission. Note, all papers undergo a rigorous peer review process for presentation in the plenary, regular, or poster sessions. All papers accepted to the plenary sessions will be published in the archival proceedings - the Springer LNCS volume. Only Regular papers will be evaluated for either the archival or online proceedings. The remaining tracks will be published online for 1 year on our non-archival conference website. Each accepted paper requires confirmation of conference registration and requires a separate registration prior to being considered for a plenary session (oral or poster). PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. Special Track on Human-Agent Teaming This year we are soliciting papers for a special workshop on human-agent teaming (or human-AI teaming) to be held during the conference. When submitting your paper in EasyChair please whether you want to be considered for this track. Special Track on COVID-19 & Validation This year we are soliciting papers for a special workshop on the COVID-19 pandemic to be held during the conference. We are particularly interested in papers focused on validation studies of models and tools used for COVID-19 response efforts. Validation studies evaluate the influence of important threats to validity, such as missing data, measurement error, and confounding. Validation studies are particularly important for assessing the utility of models and tools outside of similar settings (e.g., application of models and tools to the next pandemic or global disaster). When submitting your paper in EasyChair please indicate whether you want to be considered for this track. CHALLENGE PROBLEM: The conference expects to announce a computational challenge as in previous years. Additional details will be posted in December. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of travel scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. TOPICS: Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interest include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling Agent-based modeling * Group formation, interaction, and/or evolution * Collective action and governance * Cultural patterns & representation * Social conventions, social contexts and processes * Influence process, recognition, and diffusion * Public opinion representation, identification and modeling Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes overtime * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military, Cyber, & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. * Late breaking and short papers are now referred to as working papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: From aldo.lipani at acm.org Tue May 11 02:49:44 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Tue, 11 May 2021 08:49:44 +0200 Subject: Connectionists: CIKM 2021 - 2nd Call for Short Papers (First Deadline, June 2) In-Reply-To: <2f33fa9b-d704-4b72-9f62-fa16b7644f98@Spark> References: <2f33fa9b-d704-4b72-9f62-fa16b7644f98@Spark> Message-ID: Apologies for cross-postings. ============================================================ ?? ? ?CIKM 2021: The 30th ACM International Conference ?? ? ? ? ?on Information and Knowledge Management ?? ? ? ? ? ? ? ?1 - 5 November 2021, Online ?? ? ? ? ? ? ? ? ?(Queensland, Australia) ?? ? ? ? ? ? ? ? ?http://www.cikm2021.org ?? ? ?https://easychair.org/conferences/?conf=cikm2021 ============================================================ The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) --------------- Key Dates --------------- Short Paper Abstract Submission: ?? ?June 2, 2021 (anywhere in the world) Short Paper Submission Deadline: ?? ?June 9, 2021 (anywhere in the world) Acceptance Notification: ? ?August 9, 2021 (anywhere in the world) Final Version Submission: ? ?Aug 23, 2021 (anywhere in the world) ------------------ Topics of Interest ------------------ We encourage submissions of high quality research papers on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information ??credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation,??best practices) * Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) ----------------- Paper Submissions ----------------- Authors are invited to submit original short papers that have not been previously published, and are not being considered for publication in any other forum. Short papers should describe ongoing work, recent insights, or summaries of significant research, that address research problems targeting top-tier research venues. Short papers should be particularly well suited to poster presentation. Manuscripts should be submitted electronically, as PDF formatted using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template, with the author names removed to conform with double-blind submission requirements. Papers should be 4 pages in length plus unlimited references. Papers should be submitted through the CIKM 2021 online submission system, choosing the ?Short Research Paper Track? option. ----------------- Dual Submission Policy ----------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule: * Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published. * Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity. --------------------------------- ACM Policy Against Discrimination --------------------------------- All authors and participants must adhere the ACM discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment ---------------------------- PC Chair Contact Information ---------------------------- For more information, contact the appropriate PC chairs: Short Paper Track Email: cikm2021-short at easychair.org Krisztian Balog, University of Stavanger, Norway Louiqa Raschid, University of Maryland, USA Lina Yao, University of New South Wales, Australia Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From davidjrohde at gmail.com Tue May 11 07:38:16 2021 From: davidjrohde at gmail.com (david rohde) Date: Tue, 11 May 2021 13:38:16 +0200 Subject: Connectionists: BCIRWIS 2021: Bayesian causal inference for real world interactive systems - (KDD 2021 Workshop) Message-ID: Call For Papers (reminder) BCIRWIS 2021: Bayesian causal inference for real world interactive systems - (KDD 2021 Workshop) https://bcirwis2021.github.io/cfp.html Deadline extended to May 20 2021 Increasingly we use machine learning to build interactive systems that learn from past actions and the reward obtained. Theory suggests several possible approaches, such as contextual bandits, reinforcement learning, the do-calculus, or plain old Bayesian decision theory. What are the most theoretically appropriate and practical approaches to doing causal inference for interactive systems? We are particularly interested in case studies of applying machine learning methods to interactive systems that did or did not use Bayesian or likelihood based methods, with a discussion about why this choice was made in terms of practical or theoretical arguments. We also welcome submissions in the following areas: Offline evaluation of recommender and interactive systems. Comparison of Bayesian, off-policy and other heuristic approaches for offline metrics. Probabilistic approaches applied to contextual bandits and reinforcement learning approaches. Probabilistic approaches to incrementality and attribution. Non-Bayesian approaches and trade-offs with Bayesian/Likelihood approaches. Bayesian methods in a production environment. Papers should be a three (3) page extended abstract, excluding references and appendices, and will be selected for contributed talks or for posters. Papers should be in PDF format and use the anonymized ACM Proceedings Template. Please submit your papers to the CMT web site. If the research has previously appeared in a journal, workshop, or conference (including KDD 2021), the workshop submission should extend that previous work. Parallel submissions (such as to other conferences) are permitted. Paper Submission Deadline: May 20th, 2021, 11:59 PM Anywhere on Earth Paper Notification: June 10th, 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgios.yannakakis at um.edu.mt Tue May 11 10:20:12 2021 From: georgios.yannakakis at um.edu.mt (Georgios N Yannakakis) Date: Tue, 11 May 2021 16:20:12 +0200 Subject: Connectionists: =?utf-8?q?What=E2=80=99s_Next_in_Affect_Modeling?= =?utf-8?q?=3F_-_ACII_Workshop_=7C_Deadline=3A_May_28?= In-Reply-To: References: Message-ID: *** Apologies for cross-postings*** The first workshop on ?What's next in Affect Modeling?? ( http://whatnext.tamed-project.eu/) will be held online in conjunction with ACII 2021 (https://www.acii-conf.net/2021/). *** Description *** The valid and reliable evaluation of affect and affective interaction is key for the advancement of affective computing (AC). Recent breakthroughs in deep (machine) learning and generative AI have boosted the efficiency and generality of affect models by discovering novel representations of users and their context acting on high resolutions of multimodal signals. Such representations, however, are data-hungry and in need of large datasets that AC is not able to offer. Moreover, as affect models gradually become larger and more complex, their expressivity, explainability, and transparency become increasingly opaque. This workshop puts an emphasis on SoTA methods in machine learning and their suitability for advancing the reliability, validity, and generality of affective models. We will be investigating entirely new methods, untried in AC, but also methods that can be coupled with traditional and dominant practices in affective modeling. In particular, we encourage submissions that offer visions of particular algorithmic advancements for affect modeling and proof-of-concept case studies showcasing the potential of new sophisticated machine learning methods. Topics include but are not limited to: - Representation learning of affect - Signal tensorization for affect modelling - Unsupervised tensor subspace learning and supervised (semi- and self-) tensor-based machine learning for affect modeling - RL as an affective computing paradigm - Manifold learning and feature learning - Contrastive learning paradigms and models for affect modeling - Neural architecture search and open-ended evolution for affect - Distributed and Disentangled Affect Representation - Sophisticated multimodal fusion (e.g. via tensors) of affective signals - Explainable affect models - Applications studies in education, art, creativity, health, psychology, and beyond *** Important dates *** - Paper submission: 28 May 2021 - Notification of acceptance: 12 July 2021 - Camera-ready submission: 26 July 2021 Keynote Speaker - Prof. Michel Valstar, School of Computer Science, University of Nottingham Organizers - Konstantinos Makantasis, Georgios N. Yannakakis, Bjoern Schuller ** Endorsed by *** TAMED project: http://www.tamed-project.eu/project sustAGE project: https://www.sustage.eu -- Georgios N. Yannakakis | Professor Director Institute of Digital Games 20 Triq L-Esperanto +356 2340 3510 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dorien.herremans at gmail.com Wed May 12 03:34:02 2021 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Wed, 12 May 2021 15:34:02 +0800 Subject: Connectionists: HEAR 2021 NeurIPS Challenge: "Holistic Evaluation of Audio Representations": Message-ID: Dear everyone, We are excited to announce HEAR 2021 NeurIPS Challenge: "Holistic Evaluation of Audio Representations": https://neuralaudio.ai/hear2021-holistic-evaluation-of-audio-representations.html The aim of this challenge is to develop a general-purpose audio representation that provides a strong basis for learning in a wide variety of tasks and scenarios. HEAR 2021 will evaluate audio representations using a benchmark suite across a variety of domains, including speech, environmental sound, medical audio, and music. Best, Dorien -- Dorien Herremans, PhD Assistant Professor, ISTD & DAI Director, SUTD Game Lab Lead, AMAAI (Audio, Music and AI Lab) 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 hocine.cherifi at gmail.com Wed May 12 04:16:46 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 12 May 2021 10:16:46 +0200 Subject: Connectionists: CFP ComNets @Networks 2021 July 01, 2021 Message-ID: Microsoft Word - CFP Comnet2.docx Communities in Networks July 01, 2021 An Online Workshop Satellite of Networks 2021 Submission deadline: May 17, 2021 Acceptance notification: May 30, 2021 Invited Speakers Mark Newman University of Michigan, USA Tiago Peixoto Central European University, Hungary Martin Rosvall Umea? University, Sweden Renaud Lambiotte University of Oxford, U.K Community structure is one of the most relevant features encountered in numerous real- world applications of networked systems. Despite the tremendous effort of a large interdisciplinary community of scientists working on this subject over the past few years to characterize, model, and analyze communities, more investigations are needed in order to better understand the impact of their structure and dynamics on networked systems. Therefore, the primary goal of this satellite workshop is to demonstrate the cutting-edge research advances on community structures in networks, in order to provide a landscape of research progresses and application potentials in related areas. Papers ranging from a broad nature, to various aspects of community structure with strong algorithmic innovations, but also application-oriented works are solicited. Topics relevant to this satellite session include, but are not limited to, the following: Models of Communities Embedding Models of Communities Evolution/Temporal Communities Dynamic and/of Communities Community Detection Communities in Uncertain Data Entropy Metrics for Communities Visual Representation of Communities Parallel Algorithms for Communities Hierarchy and Ego-Networks Communities and Sampling Communities and Controllability Communities and Synchronization Communities and Machine Learning Communities and Resilience Communities and Link Prediction Communities in Social Networks Communities in Multiplex Communities in Economics & Finance Communities in Epidemics Communities in Rumor Spreading Communities in Mobile Networks Communities in Biological Networks Communities in Brain Communities in Technological Networks CONTRIBUTION: Extended Abstracts about published or unpublished research (2 to 4 pages including references). They must follow the BioMed Central article template available at: https://appliednetsci.springeropen.com/submission-guidelines/preparing-your- manuscript/research-articles PUBLICATION: Selected contributions will be invited to submit an extended version to a special issue of Applied Network Science edited by Springer SUBMISSION WEBSITE https://easychair.org/conferences/?conf=comnet2021 ORGANIZERS Hocine Cherifi University of Burgundy, France Gergely Palla Eo?tvo?s Lora?nd University, Hungary Boleslaw Szymanski, Rensselaer Polytechnic Institute, Troy, NY, USA Join us at COMPLEX NETWORKS 2021 Madrid Spain *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From calendarsites at insticc.org Wed May 12 10:29:38 2021 From: calendarsites at insticc.org (calendarsites at insticc.org) Date: Wed, 12 May 2021 15:29:38 +0100 Subject: Connectionists: [CFP] Last Call :: 18th Int. Conf. on Signal Processing and Multimedia Applications (Deadline 21st of May) Message-ID: <04ad01d7473b$3e700410$bb500c30$@insticc.org> Dear Colleagues, It is our pleasure to invite you to submit your latest research results (regular or position papers) to the 18th International Conference on Signal Processing and Multimedia Applications (SIGMAP 2021), that will be held Online from July 06 to July 08, 2021, until the 21st of May. Please notice this is a hard deadline and will not be extended. SIGMAP 2021 is an annual conference whose goal is to bring together researchers, engineers and practitioners interested on information systems and applications, including theory and practice in various heterogeneous and interrelated fields including image, video and audio data processing, new sources of multimodal data (text, social, health, etc.) and Multimedia Applications related to representation, storage, authentication and communication of multimedia information. Multimedia is a research field that includes computing methods in which different modalities are integrated and combined, with the aim to take advantage from each data source. The conference will be held in cooperation with the ACM Special Interest Group on Multimedia and will include in its technical program remarkable distinguished speakers, such as: Amarnath Gupta, University of California San Diego, United States Henning Schulzrinne, United States Noel O?Connor, Dublin City University, Ireland The conference proceedings will be submitted for indexation by: SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index and a short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a CCIS Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Also, a short list of best papers will be invited for a post-conference special issue of the Springer Nature Computer Science journal. Kind regards, M?nica Saramago On behalf of Conference Chair Andrew Sung, University of Southern Mississippi, United States Program Chair Simone Santini, Universidad Aut?noma de Madrid, Spain Web: http://www.sigmap.org e-mail: sigmap.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Wed May 12 10:06:23 2021 From: Pavis at iit.it (Pavis) Date: Wed, 12 May 2021 14:06:23 +0000 Subject: Connectionists: 2 PHD POSITIONS ON COMPUTER VISION AT IIT PAVIS IN COLLABORATION WITH UNIVERSITY OF GENOA, ITALY In-Reply-To: References: Message-ID: <0e841753f33c415bbaee7eeb126d7c46@iit.it> 2 PHD POSITIONS ON COMPUTER VISION AT IIT ? PAVIS IN COLLABORATION WITH UNIVERSITY OF GENOA, ITALY IIT, Italian Institute of Technology - www.iit.it, in collaboration with University of Genoa - https://unige.it/en funds 2 PhD scholarships on Computer Vision, Pattern Recognition and Machine Learning. Research and training activities are jointly conducted between the DITEN Department of University of Genova http://phd-stiet.diten.unige.it/ and IIT infrastructures in Genoa, at the PAVIS - Pattern Analysis and Computer Vision Research line https://pavis.iit.it/ led by its Principal Investigator, Alessio Del Bue - https://www.iit.it/it/people-details/-/people/alessio-delbue RESEARCH TOPICS: Theme A: 3D scene understanding with geometrical and deep learning reasoning Theme B: Artificial Intelligence for Human Behavior Analysis Theme C: Deep Learning for Multi-modal scene understanding Theme D: Self-Supervised and Unsupervised Deep Learning Theme E: Visual Reasoning with Knowledge and Graph Neural Networks for scene understanding Detailed description at: https://pavisdata.iit.it/data/phd/2022_PhD_research_topics_PAVIS_IIT.pdf PAVIS The PhD program on the listed topics will take place at the PAVIS research line of Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it). The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, even multidisciplinary, in collaboration with other research groups in IIT. PAVIS staff has a wide expertise in computer vision and pattern recognition, machine learning, image processing, and related applications (related to assistive and monitoring AI systems). For more information, you can also browse the PAVIS webpage http://pavis.iit.it/ to see our activities and research. Successful candidates will be part of an exciting and international working environment and will work in brand new laboratories equipped with state-of-the-art instrumentation. Excellent communication skills in English, as well as ability to interact effectively with members of the research team, are mandatory. HOW TO APPLY Full information, official call and course description are available at ITALIAN https://unige.it/usg/it/dottorati-di-ricerca ENGLISH https://unige.it/en/usg/en/phd-programmes Official call: https://unige.it/sites/contenuti.unige.it/files/documents/Bando_XXXVII_English.pdf Course description for XXXVII Phd Course in Science and Technology for Electronic and Telecommunication Engineering, curriculum in Computer Vision, Pattern Recognition and Machine Learning (CODE 8718) is on page 108 of the list of PhD programmes: https://unige.it/sites/contenuti.unige.it/files/documents/ANNEX_A_XXXVII%20-%20EN_0.pdf Please follow the steps listed: 1. Choose the programme, 2. Review the application, 3. Apply, following the detailed instructions https://unige.it/sites/contenuti.unige.it/files/documents/Guida_eng_XXXVII.pdf and using the online procedure https://servizionline.unige.it/studenti/post-laurea/dottorato/domanda WHAT TO SUBMIT A detailed CV, a research proposal under one or more topics chosen among those above indicated, reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. Refer also to the indications stated at pg. 108 of the course description document, above mentioned. IMPORTANT: In order to apply, candidates must prepare the research proposal based on the research topics above mentioned. Please, follow these indications to prepare it https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf For FURTHER INFORMATION on the research topics contact Dr. Del Bue at pavis at iit.it DEADLINE Deadline for application is June 15, 2021 at 12 PM (noon, Italian time/CEST) STRICT DEADLINE, NO EXTENSION. Apply before deadline, the application process is not immediate: don?t wait for the final day. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Thu May 13 07:03:09 2021 From: jose at rubic.rutgers.edu (Stephen =?ISO-8859-1?Q?Jos=E9?= Hanson) Date: Thu, 13 May 2021 07:03:09 -0400 Subject: Connectionists: FRONTIERS: BRAIN CONNECTIVITY, DYNAMICS AND COMPLEXITY: Update! Message-ID: <418d1a6ad80a005db7290a901559e0e02896b3a6.camel@rubic.rutgers.edu> Frontiers Topic: Brain Connectivity, Dynamics and Complexity. https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynamics-and-complexity Frontiers in Human Neuroscience Cognitive Neuroscience Frontiers in Computational Neuroscience Submission deadlines have been updated; JUNE 30, 2021: Abstracts due NOVEMBER 30, 2021: Manuscripts due You may send in submissions at any time now. Please send any enquires to any of the Co-Editors concerning your submissions. S. Hanson R. Romero-Sanchez P. Antonio Valdez-Sosa B. Biswal -- Stephen Jos? Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB) From ieeemocs2021 at gmail.com Thu May 13 05:09:42 2021 From: ieeemocs2021 at gmail.com (MoCS 2021) Date: Thu, 13 May 2021 11:09:42 +0200 Subject: Connectionists: [Conferences] CFP MoCS 2021 - 11th Workshop on Management of Cloud and Smart City Systems Message-ID: Greetings Research Fellow Fellow Researcher! I don't know you, and you don't know me, but if you received this mail you may be interested in publishing an article! Yeah! This is a Call For Papers for the "11th Workshop on Management of Cloud and Smart City Systems" (MoCS 2021) which will be held in Athens, Greece September 5, 2021. MoCS will be Part of the 26th IEEE Symposium on Computers and Communications (ISCC 2021) conference. Before deleting this e-mail, take a look at least at the reasons why you should consider submitting your work to us! - Accepted papers will be included in the ISCC 2021 Conference Proceedings (Indexed by Scopus and WebOfScience!); - Accepted papers will be included in the IEEE Xplore? Digital Library; - Best Paper Award will be presented; - MoCS is a decade-old Workshop held in the quarter-century-old ISCC Conference, it doesn't get better than this! On a more serious note, those are some of the topics we are interested in: * Human-enabled Edge Computing (HEC) paradigm. * Cloud to Edge continuum. * Edge data center deployment in urban environments. * AI-driven models, architectures, and frameworks for edge computing. * Design and evaluation tools for scalability and efficient resource allocation in smart cities. * Blockchain solutions for secure and reliable transactions between the counterparts in data sharing/trading. * Security and privacy techniques to cloud/edge-based smart city applications. * Post-quantum security and privacy for smart city applications. You can find more topics on our website: https://sites.google.com/view/mocs-2021/ And this is the link to our CFP: http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=133748 Make sure to follow us on Twitter @cfp_mocs2021 for updates, news, and more reasons to submit to us. Important dates Paper submission due: July 1, 2021 Notification due: July 18, 2021 Workshop date: September 5, 2021 Have a nice day! Sincerely, Yet Another Annoying Publicity Chair. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marinella.petrocchi at iit.cnr.it Thu May 13 11:14:42 2021 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Thu, 13 May 2021 17:14:42 +0200 Subject: Connectionists: Programme is Online! -- ACM Symposium on Access Control Models and Technologies -- SACMAT 2021 Message-ID: <8463c9cbc5fac50c22e883312477f49a@iit.cnr.it> Apologies for cross-posting ---- ACM Symposium on Access Control Models and Technologies -- SACMAT 2021 June 16-18, 2021, Barcelona, Spain http://sacmat.dista.uninsubria.it/2021/about.php --- Dear colleagues, the Full Programme is now available online! A rich set of events, regular presentations, 3 invited speakers, 1 experts' panel... Have a look at http://sacmat.dista.uninsubria.it/2021/advance.php Early deadline for registration is May 31, 2021 A taster: Registration fee for students is 5$ !! Join us at SACMAT 2021! -- Marinella Petrocchi Senior Researcher @Institute of Informatics and Telematics (IIT) National Research Council (CNR) Pisa (Italy) Mobile: +39 348 8260773 Skype: m_arinell_a Web: https://marinellapetrocchi.wixsite.com/mysite `Luck is a matter of geography' (Bandabardo') From Pavis at iit.it Thu May 13 10:45:51 2021 From: Pavis at iit.it (Pavis) Date: Thu, 13 May 2021 14:45:51 +0000 Subject: Connectionists: Computer Vision Research Engineer at IIT, Genoa, Italy - (21000042) Message-ID: <58cfcb5de78b4172a1dfeff3baa1791e@iit.it> The Pattern Analysis and Computer Vision (PAVIS) Research Line at Fondazione Istituto Italiano di Tecnologia - IIT 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 is financed in the context of a commercial collaboration focused on 3D perception of spaces, object segmentation and object classification. The candidate will have the opportunity to work on real and simulated scenarios using color and depth technologies alongside with state of the art algorithms and computational models, with the goal of designing and prototyping working solutions for the problems under investigation. 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 Deep Learning models training and ML dataset management; - Strong proficiency in programming languages, in particular Python and C++ and hands on experience with libraries such as OpenCV, Tensorflow, and PyTorch; - Good knowledge of English language. The following skills are considered a plus for this position: - Experience in working with hardware systems including sensors such as RGBD cameras, depth sensors, LIDAR, etc; - Experience in working with object detection and segmentation algorithms; - Experience with fast prototyping of code and hardware; - Good communication and teamwork skills. - 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=it&job=21000042 Include: a detailed curriculum vitae with publication list, a 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 May 31st, 2021. The position is pending signature of the commercial contract. Istituto Italiano di Tecnologia, with its headquarters in Genova, Italy, is a non-profit institution with the primary goal of creating and disseminating scientific knowledge and strengthening Italy?s technological competitiveness. The institute offers state-of-the-art equipment and a top-level interdisciplinary research environment focused on robotics and computer vision, neuroscience, drug discovery, nanoscience and technology. Fondazione Istituto Italiano di Tecnologia ? IIT (www.iit.it) was founded with the objective of promoting Italy?s technological development and further education in science and technology. In this sense, IIT's scientific program is based on the combination of basic scientific research with the development of technical applications, a major inspirational principle. The research areas cover scientific topics of high innovative content representing the most advanced frontiers of modern technology, with wide application possibilities in various fields ranging 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. We inform you that the data you provide will be processed for the sole purpose of evaluating professional profiles and selecting them according to the needs of the Fondazione Istituto Italiano di Tecnologia. Your data will be processed by the Fondazione Istituto Italiano di Tecnologia, based in Genova, Via Morego, 30, as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. We also inform you that, pursuant to article 15 and following articles of EU Regulation 2016/679 ("General Data Protection Regulation"), you may exercise your rights at any time by contacting the Data Protection Officer (telephone 010 28961 - email: dpo[at]iit.it). -------------- next part -------------- An HTML attachment was scrubbed... URL: From cognitivium at sciencebeam.com Sun May 16 09:41:08 2021 From: cognitivium at sciencebeam.com (Mary) Date: Sun, 16 May 2021 18:11:08 +0430 Subject: Connectionists: You don't want to miss the "Modeling Electrophysiological Activities" Online Course Message-ID: <202105161341.14GDfALU026522@scs-mx-01.andrew.cmu.edu> Dear researchers, We are less than two weeks away from the "Modeling Electrophysiological Activities: From Single Neuron to Nervous Tissue" Online Course, which will be held by Dr. Damien Depannemaecker, Post-Doc researcher at Department of Integrative and Computational Neuroscience, Paris Saclay Institute of Neuroscience, France (Click HERE for more information about his researches and background). This course is coming after an introductory webinar, which you can watch now using the link below: https://sciencebeam.com/modeling-electrophysiological-activities/ This course aims to discuss models in neuroscience and particularly models of electrophysiological activities. During the course, we will discuss the field of application of such models. We will introduce the concepts of dynamical systems. Then we will implement these models during lab sessions. Finally, we will discuss the results of simulations in relation to the data obtained experimentally. Prospective Overview of Sessions: ? Session 1 (May 25th): ? Systems and complex system in neurosciences ? Origines of electrophysiological signals and measurements ? Electrophysiology and relevant features for computational modeling (Membrane potential, Raster plot, Local field potential) ? Session 2: ? Understanding the time evolution of the electrophysiological signals from a dynamical systems point of view. ? Introduction to dynamical systems for neurosciences (Differential equations, Phase space representation, Stability and domain of attraction) ? Unidimensional and bi-dimensional models (Dynamics of integrate-and-fire models, Repertoire of 2 D models, Reduction of Hodgkin-Huxley model) ? Session 3: ? 2D and Higher dimensions models (Particular role of the reset, Possibility of chaos) ? Models of synapses ? Limits of models (Biophysical and mechanistic description, Phenomenology) ? Introduction to the first lab session (with Brian2 simulator) ? Session 4: ? First Lab Session: - Repertoire of electrophysiological patterns - Models of networks - Global measure on simulations ? Session 5: ? Second lab session: - analysis of the results - relations to the data ? Conclusive discussion ? Due to time zone differences, the recorded sessions will be provided for the participants. ? A certificate is granted by ScienceBeam upon completion of the course. ? In case of group registration (more than 3 people), you benefit from a 15% discount on your registration fees. Register NOW using the link below: https://sciencebeam.com/online-course-modeling-electrophysiological-activities-from-single-neuron-to-nervous-tissue/ If you require more information, don?t hesitate to contact me. Sincerely Mary Reae Human Neuroscience Department Manager www.ScienceBeam.com WhatsAppno: 008613380781282 -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Sun May 16 06:49:48 2021 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Sun, 16 May 2021 11:49:48 +0100 Subject: Connectionists: 2nd Call for Paper: Socially Informed AI for Healthcare Workshop - ACM ICMI 2021 Message-ID: The ?Socially-Informed AI for Healthcare: Understanding and Generating Multimodal Nonverbal Cues? is co-located with the 23rd ACM International Conference on Multimodal Interaction 2021 in October 2021 in Montreal, Canada. For more information, please see https://social-ai-for-healthcare.github.io/. *CALL FOR PAPERS* Advances in the areas of face and gesture analysis, computational paralinguistics, multimodal interaction, and human-computer interaction have all played a major role in shaping research into assistive technologies over the last decade, resulting in a breadth of practical applications ranging from diagnosis and treatment tools to social companion technologies. While nonverbal cues play an essential role, there are still many key issues to overcome, which affect both the development and the deployment of multimodal technologies in real-world settings. The key aim of this multidisciplinary workshop is to foster cross-pollination by bringing together computer scientists and social psychologists to discuss innovative ideas, challenges and opportunities for understanding and generating multimodal nonverbal cues within the scope of healthcare applications. Topics include, but are not limited to: - Analysis and synthesis of multimodal nonverbal cues, including facial expressions, paralinguistics, eye gaze and head movements, body postures and hand gestures, audio (e.g., turn-taking, vocal outbursts, etc.) within an interaction context, - Co-modelling of nonverbal and verbal cues, - Cross-modality learning for the analysis and synthesis of nonverbal cues, - Novel methodologies for modelling long-term interactions through multiple modalities, - Modelling of interpersonal coordination such as convergence, synchrony or mimicry, - Personalisation and adaptation mechanisms for healthcare applications, - Automatic detection of non-conforming patterns and/or violations in social norms and expectations (expectancy violations theory) in nonverbal interaction, - Clinical applications (e.g., autism, depression, anxiety, etc.), including defining appropriate qualitative and quantitative evaluation methods, - Privacy-preserving approaches to data collection or synthetic data generation, - Novel technological devices or robotics platforms specifically for healthcare applications, - Explainable AI techniques focused towards clinical applications. *KEYNOTE SPEAKERS* Prof. Antonia Hamilton, University College London, UK Dr Stefan Scherer, Embodied, Inc., USA Prof. Laurel Riek, University of California, San Diego, USA *KEY DATES* Paper submission: June 18, 2021 Paper notification: August 9, 2021 Camera-ready paper submission: September 10, 2021 Workshop day: TBA (held in conjunction with ACM ICMI 2021) *INFORMATION FOR AUTHORS* Submissions will be via Easychair and should follow the ICMI template, more information can be found at the workshop website https://social-ai-for-healthcare.github.io/. We welcome research papers in the following formats: - Workshop Full Paper =8 Page Limit + extra pages for references - Workshop Short Paper =4 Page Limit + extra pages for references - Workshop Poster Abstract =3 Page Limit + extra pages for references Please share this message with interested colleagues. With many thanks and best wishes, Oya Celiktutan Alexandra Georgescu Nicholas Cummins Organisers, Socially Informed AI for Healthcare 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Mon May 17 00:45:48 2021 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Mon, 17 May 2021 00:45:48 -0400 Subject: Connectionists: 2021 NEURON Online Course Message-ID: The 2021 NEURON Online Course will start on Thursday, June 3, 2021, and will meet Tuesdays and Thursdays thereafter until Tuesday, August 3. This course maps the first half of the NEURON Summer Course into a series of interactive online workshops about building and working with models of single neurons. It is suitable for individuals at all levels of expertise. Although it focuses on modeling individual cells, the topics it covers are the foundation for modeling networks with NEURON. Space is limited, and applications will be considered in the order received. The registration deadline is Monday, May 31, 2021. No applications will be accepted after that date. For more information and the on-line registration form, see https://neuron.yale.edu/neuron/static/courses/web2021/june.html --Ted From xiaoxuan.lei.claire at gmail.com Fri May 14 20:48:44 2021 From: xiaoxuan.lei.claire at gmail.com (=?utf-8?B?6Zu35pmT55KH?=) Date: Sat, 15 May 2021 08:48:44 +0800 Subject: Connectionists: Invitation to join UNIQUE Student Symposium 2021 In-Reply-To: References: Message-ID: <0165DCA1-7F16-437A-ABF6-96E461ABD938@gmail.com> > On May 15, 2021, at 8:37 AM, ??? wrote: > > Please spread the word around! > > TL;DR: UNIQUE Student Symposium , a 2-half-days conference at the crossroads between AI and neuroscience will take place on June 7-8th. > > Registrations and submissions of abstracts are open! > Link for registration: https://forms.gle/dkzE2zBwTk6Ga5Ft9 > Link for lightning talk submission: https://forms.gle/WLjjGrY18ZFRjDGh9 > > Four weeks counting down and we are happy to present a fantastic program with keynote talks and educational sessions, all with an amazing line-up of speakers! This year, we are organizing the 2nd edition of UNIQUE Student Symposium (USS) on new directions in #neuroscience and #AI. USS 2021 is a two-day free and open event. With a theme focus on #consciousness and #ethics, we are honored to have Dr. Megan Peters and Dr. W.F.G. Haselager (Pim) as keynote speakers on Day 1 (June 7th), followed by a panel discussion with additional speakers to be announced very soon. The first day will include a lightning talk session especially thought for students to submit their recent work or proposals. We encourage you and your students to participate! This is a great opportunity to share your work with like-minded people and sharpen your presentation skills.Day 2 (June 8th) consists of parallel educational and discussion sessions. We will host a round table on mental health, and two workshops on open science and equity, diversity and inclusion. Simultaneously, we will have interactive discussion sessions on machine learning for neuroscience, memory and learning and decision making, led by three experts in the fields: Guillaume Lajoie, Thomas Shultz and Paul Cisek. The keynotes and panel sessions on Day 1 will be streamed on Crowdcast and Day 2 will take place on Gather.town so we can mimic in-person interaction as much as possible (Spoil alert: there will be a social beach on the venue which you should not forget to visit!) > > Save the date for this year's UNIQUE Student Symposium, 7-8 June! Registration (for participation) closes on Friday, May 28th, and Submission for lightning talks closes on Friday, May 20th. > > For detailed info of speakers and schedule, please check our website: https://uss2021.github.io > Twitter: @ai_unique https://twitter.com/ai_unique > > > Alex and Xiaoxuan > On behalf of USS2021 organization committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Sun May 16 23:07:20 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Mon, 17 May 2021 11:07:20 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021 - Announcement of Blue Sky Paper Track Message-ID: <1878778c.b5eb.179784ad4ad.Coremail.jiangdm@nwpu.edu.cn> Announcing New Blue Sky Papers Track *************************************** ACM ICMI 2021: Announcing New Blue Sky Papers Track http://icmi.acm.org/2021/index.php?id=cfp 18-22 Oct 2021, Montreal, Canada *************************************** Announcing New ICMI 2021 Blue Sky Papers Track ACM's ICMI Conference 2021 is pleased to partner with the Computing Community Consortium (CCC) to initiate a new Blue Sky paper track that emphasizes innovative, visionary, and highimpact contributions. This track solicits papers relevant to ICMI content that go beyond the usual research paper to present new visions that stimulate the community to pursue innovative new research directions. They may challenge existing assumptions and methodologies, or propose new applications or theories. The papers are encouraged to present high-risk controversial ideas. Submitted papers are expected to represent deep reflection, to argue rigorously, and to present ideas from a high-level synthetic viewpoint (e.g., multidisciplinary, based on multiple methodologies). Submissions should be 4 pages, independent of references, and will be due on May 26th, 2021. The CCC will distribute and publicize papers published in this track, and sponsor awards to honor the first ($1,000), second ($750), and third ($500) place papers in the form of travel grants. The 23rd ACM International Conference on Multimodal Interaction (ICMI 2021) will be held in Montreal, Canada October 18-22, 2021. ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The main conference themes in 2021 will be behavioral health and virtual connectivity, but other major topics of central interest include human communication and multimodal language/dialogue processing, human-robot/agent interaction, affective computing and social interaction, cognitive modeling, multimodal representations and fusion-based architectures, machine learning for multimodal interaction and system applications, speech, gesture, haptics, olfaction, gaze and vision, multimodal datasets and platforms, mobile and ubiquitous interfaces, interfaces for virtual/augmented reality, smart environments, and assistive technologies. For further details about the conference, see http://icmi.acm.org/2021/index.php?id=cfp Important Dates Paper Submission: May 26, 2021 Reviews to authors: July 7, 2021 Rebuttal due: July 12, 2021 Paper notification: July 26, 2021 Camera-ready paper: August 16, 2021 Presenting at main conference: October 18-22, 2021 ------------------------------------------------------------------------------- Dongmei Jiang Professor, Head of Dept. Computer Information Engineering, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From zapotocky at biomed.cas.cz Fri May 14 18:20:33 2021 From: zapotocky at biomed.cas.cz (Martin Zapotocky) Date: Sat, 15 May 2021 00:20:33 +0200 Subject: Connectionists: Abstracts DEADLINE EXTENDED for CNS*2021 Meeting Message-ID: <24482a4f-6054-1c7e-7695-904039685fa5@biomed.cas.cz> Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA* **30th Annual Computational Neuroscience Meeting (CNS*2021)* - ONLINE July 3--7, 2021 https://www.cnsorg.org/cns-2021-online The CNS*2021 *abstract submission deadline* has been extended to *Saturday, May 22* at 11:00 pm Pacific Time. Note that one of the authors must register as sponsoring author for the main meeting *before abstract submission*. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Registration: https://ocns.memberclicks.net/cns-2021-online-registration Abstract Submission: https://cns.confmaster.net/ -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists Become a member to be eligible for awards and other benefits. Visit our website for more information: http://www.cnsorg.org -------------------------------------------------------------------------------------------- Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vladan at temple.edu Sun May 16 02:51:19 2021 From: vladan at temple.edu (Vladan Radosavljevic) Date: Sun, 16 May 2021 06:51:19 +0000 Subject: Connectionists: Privacy-preserving ML Competition @ AdKDD Message-ID: Criteo is organizing a competition of machine learning on aggregated, differentially private data in conjunction with the AdKDD'21 workshop. We thought it could be of interest to you and to the community of researchers and practitioners interested in machine learning and privacy. In two words, the tasks are to learn click and sales prediction models that operate on aggregated, noisy data. We believe that the aggregation (features + labels), the noise level, and the high cardinality of features present novel, unique challenges. The competition will last until July 31st and the top 3 winners of each task will share $20,000 of prize money and be invited to present their solution to the workshop at KDD'21. Important information: * Workshop website: https://www.adkdd.org/ * Competition website: https://competitions.codalab.org/competitions/31485 * Contact address: adkdd21challenge at googlegroups.com Data and evaluation code will be open-sourced at the end of the challenge to permit publication of original solutions in relevant research venues. Eustache Diemert, for the challenge organization team at Criteo -------------- next part -------------- An HTML attachment was scrubbed... URL: From D.Kollias at greenwich.ac.uk Fri May 14 10:56:47 2021 From: D.Kollias at greenwich.ac.uk (Dimitrios Kollias) Date: Fri, 14 May 2021 14:56:47 +0000 Subject: Connectionists: (CfP) ICCV 2021 Workshop and Competition: ABAW2 Message-ID: Dear All, Please find below the invitation to contribute to the 2nd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the International Conference on Computer Vision (ICCV) 2021. (1): The Competition is split into three Challenges-Tracks, which are based on the same database, Aff-Wild2, which is the first comprehensive benchmark for the three affect recognition tasks in-the-wild: * dimensional affect recognition (valence and arousal estimation) * categorical affect classification (seven basic expression classification) * facial action unit detection Aff-Wild2 is an audiovisual in-the-wild database of 564 videos of around 2.8M frames. Participants are invited to participate in one or more of these Challenges. There will be one winner per Challenge-Track; the winners are expected to contribute a paper describing their approach, methodology and results; the accepted winning papers will be part of the ICCV 2021 proceedings; all other teams are also able to submit a paper describing their solutions and final results; the accepted papers will be part of the ICCV 2021 proceedings. For more information about the challenge, see here. Important Dates: * Call for participation announced, team registration begins, data available: 12 May, 2021 * Final submission deadline: 10 July, 2021 * Winners Announcement: 11 July, 2021 * Final paper submission deadline: 21 July, 2021 * Review decisions sent to authors; Notification of acceptance: 10 August, 2021 * Camera ready version deadline: 17 August, 2021 Chairs: Dimitrios Kollias, University of Greenwich, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Middlesex University London, UK Elnar Hajiyev, Realeyes - Emotional Intelligence (2): The Workshop solicits contributions on the recent progress of recognition, analysis, generation and modelling of face, body, and gesture, while embracing the most advanced systems available for face and gesture analysis, particularly, in-the-wild (i.e., in unconstrained environments) and across modalities like face to voice. Original high-quality contributions, including: - databases or - surveys and comparative studies or - Artificial Intelligence / Machine Learning / Deep Learning / AutoML / (Data-driven or physics-based) Generative Modelling Methodologies (either Uni-Modal or Multi-Modal ones) are solicited on the following topics: i) "in-the-wild" facial expression or micro-expression analysis, ii) "in-the-wild" facial action unit detection, iii) "in-the-wild" valence-arousal estimation, iv) "in-the-wild" physiological-based (e.g., EEG, EDA) affect analysis, v) domain adaptation for affect recognition in the previous 4 cases vi) "in-the-wild" face recognition, detection or tracking, vii) "in-the-wild" body recognition, detection or tracking, viii) "in-the-wild" gesture recognition or detection, ix) "in-the-wild" pose estimation or tracking, x) "in-the-wild" activity recognition or tracking, xi) "in-the-wild" lip reading and voice understanding, xii) "in-the-wild" face and body characterization (e.g., behavioral understanding), xiii) "in-the-wild" characteristic analysis (e.g., gait, age, gender, ethnicity recognition), xiv) "in-the-wild" group understanding via social cues (e.g., kinship, non-blood relationships, personality) Accepted papers will appear at ICCV 2021 proceedings. Important Dates: Paper Submission Deadline: 21 July, 2021 Review decisions sent to authors; Notification of acceptance: 10 August, 2021 Camera ready version 17 August, 2021 Accepted workshop papers will appear at ICCV 2021 proceedings. Chairs: Dimitrios Kollias, University of Greenwich, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Middlesex University London, UK Elnar Hajiyev, Realeyes - Emotional Intelligence In case of any queries, please contact D.Kollias at greenwich.ac.uk Kind Regards, Dimitrios Kollias, on behalf of the organising committee ? Kind Regards, Dimitris =================================================== Dr Dimitrios Kollias Senior Lecturer in Computer Science (Artificial Intelligence) School of Computing and Mathematical Sciences University of Greenwich ==================================================== University of Greenwich, a charity and company limited by guarantee, registered in England (reg no. 986729). Registered Office: Old Royal Naval College, Park Row, Greenwich SE10 9LS. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vladan at temple.edu Sun May 16 02:49:20 2021 From: vladan at temple.edu (Vladan Radosavljevic) Date: Sun, 16 May 2021 06:49:20 +0000 Subject: Connectionists: 2nd CfP - AdKDD @ KDD2021 Message-ID: Call for Workshop Papers AdKDD 2021 in conjunction with The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021) Virtual event , August 14th-18th, 2021 http://www.adkdd.org ??Today, the average consumer spends 8+ hours a day across all devices interacting with online content almost entirely sponsored by advertisements. At over $300B global market size in 2021 and expected to pass $1T by 2027, online advertising has already surpassed traditional ads in global spend. Moreover, computational advertising in particular is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads help us enrich our lives and creep us out when done badly. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving, however, from ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences in new feeds on mobile devices and even on TV?all utilizing data amassed from petabytes of stored user data. Ads are far from done. The AdKDD workshops have had a lot of interest and success in the past years. A total of fourteen workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. We look forward to seeing you virtually to discuss the past, present, and future of computational advertising! Topics: The workshop focuses on three main aspects of computational advertising. ? Evolution of computational advertising: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers and others, challenge the traditional notions of advertising. There also continues to exist controversial issues in advertising such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. ? Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. ? Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data and audience insights, as well as position papers on the future of online advertising. Submission Instructions: Following KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. ? Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here. All accepted papers will be eligible to be published in the ACM Digital Library and will be archived on the AdKDD website. Important Deadlines: Submission : May 25th, 2021 Decisions : June 10th, 2021 Camera-ready : June 20th, 2021 Video Submission: July 24, 2021 Workshop : August 14th, 2021 Best Paper Awards: We are happy to announce that we will award the best accepted papers for this year?s workshop. Details are to be disclosed shortly. ML Challenge (organized and sponsored by Criteo): Machine Learning Challenge on Aggregated, Differentially Private Data The Online Advertising industry is seeing a major shift today in its operational constraints with a global movement towards more privacy. Popular techniques for privacy-compliant advertising such as aggregation and differential privacy mechanisms were shown to match high privacy standards but also raise concerns about the possibility to learn relevant machine learning models for ad placement. We propose in this challenge to explore the trade-off between privacy level and prediction performance, on data donated by Criteo - an industry leader that already released several open datasets for research purposes. To anchor the competition in reality, the challenge design is inspired by (and as close as possible/convenient to) current propositions in the Privacy Sandbox discussed in the Improving Web Advertising forum at W3C. Important info: * Competition website: https://competitions.codalab.org/competitions/31485 * Contact address: adkdd21challenge at googlegroups.com The top 3 winners of each task will share $20,000 of prize money that is sponsored by Criteo, and be invited to present their solution to the workshop. Tentative timeline (anywhere on Earth): * Apr 10th: Competition announcement * May 1st: Final tasks description and evaluation metrics published * May 10th: Competition starts * July 31th: Competition ends * Workshop day: Winners present their solutions and prizes awarded Submission Website: https://easychair.org/conferences/?conf=adkdd2021 Program Committee Chairs: Abraham Bagherjeiran (eBay) Nemanja Djuric (Aurora Innovation) Mihajlo Grbovic (AirBnB) Kuang-chih Lee (Alibaba) Kun Liu (Amazon) Vladan Radosavljevic (Spotify) Suju Rajan (LinkedIn) For further questions please contact the organizers at organizers at adkdd.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From auke.ijspeert at epfl.ch Sun May 16 06:21:09 2021 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Sun, 16 May 2021 12:21:09 +0200 Subject: Connectionists: PhD position in computational neuroscience and modeling of salamander spinal locomotor circuits, EPFL, Lausanne Switzerland Message-ID: The Biorobotics laboratory (Biorob, https://www.epfl.ch/labs/biorob/ ) at EPFL (Lausanne, Switzerland) has one open *PhD student position* in *computational neuroscience and modeling of salamander spinal locomotor circuits*. The position is part of the ERC Synergy Salamandra project that will start in September 2021, together with Prof. Andras Simon (KI Sweden) and Prof. Dimitri Ryczko (U. Sherbrooke, Canada). See some info here: https://actu.epfl.ch/news/salamanders-provide-a-model-for-spinal-cord-rege-3/ The goals of the position are (i) to develop numerical models and simulations of the locomotor circuits in the spinal cord of the salamander, (ii) to analyze their dynamics when coupled to a simulated mechanical model of the body (interactions between central and peripheral mechanisms), and (iii) to? investigate their regenerative properties after spinal cord lesions. The models will be based on integrate-and-fire neuron models. The positions are fully funded for 4 years. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Requirements:* Candidates need to have a Master degree in a field related to computational neuroscience, e.g. in computer science, neuroscience, or physics. The ideal candidate for this position should have a strong numerical modeling background, good programming skills, good math background (e.g. in dynamical systems), and interest in locomotion and robotics. *How to apply for the position:* Step 1: The position is only open to applicants who have been accepted by the EPFL doctoral school (see http://phd.epfl.ch/ ). The first step is therefore to fill the applications for one of the relevant EPFL doctoral programs? in neuroscience, or related fields (e.g. computer science or robotics). Step 2: In parallel to step 1, or once accepted by one of the doctoral programs (please specify which doctoral program and the date of acceptance), the application to the position should be sent by email to Prof. Auke Ijspeert and consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it) and a copy of the doctoral program application. Informal inquiries about the relevance of an application can be sent to auke.ijspeert at epfl.ch (e.g. before or while submitting an application to the doctoral school), but responses can be slow because of a heavy schedule and a filled mail box. *Deadline and starting date:* *The ideal starting date is September 2021* (with some flexibility). Applications will be considered starting *from May 31 2021*, and then continuously until the positions are filled. *Instructions to apply* can be found here: https://www.epfl.ch/labs/biorob/openings/ Best regards, Auke Ijspeert -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique F?d?rale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert at epfl.ch ----------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From ghumana at upmc.edu Sun May 16 22:31:45 2021 From: ghumana at upmc.edu (Ghuman, Avniel) Date: Mon, 17 May 2021 02:31:45 +0000 Subject: Connectionists: Lab Manager Position in Visual Neuroscience using Human Intracranial Recordings in Pittsburgh, PA, USA Message-ID: The Laboratory of Cognitive Neurodynamics (LCND; PI: Avniel Ghuman) at the University of Pittsburgh is seeking a Lab Manager to start June 2021. The LCND studies how our brains turn what we see into the rich meaningful experience we perceive in the world around us. We use direct neural recordings in epilepsy patients (intracranial electroencepholography) and non-invasive magnetoencephalography to measure the neural response to objects, faces, words, and social and affective visual stimuli with millisecond temporal resolution. We combine these high fidelity recordings with advanced signal processing, network analysis, and machine learning to understand how information flows through the visual processing networks of our brain. We use these recordings and analysis methods together to understand the computations that allow the human brain to read, recognize faces, comprehend facial expressions and gestures, and recognize objects. Key responsibilities include assisting with experimental design, data collection, interfacing with the clinical epilepsy team, data preprocessing, and managing all aspects of lab life. Many opportunities exist to be involved with research at all levels, including having your own projects. The work involves extensive interaction with patients at their hospital bed, therefore a professional and empathetic bedside manner is critical as are strong organizational skills. We are looking for a bright, organized, empathetic, and driven candidate dedicated to neuroscience research. Candidates should have degree in neuroscience, biology, psychology, engineering, computer science or a related field, and familiarity with programming is highly desirable. Administrative experience managing Institutional Review Board protocols is preferred, but not required. Interested candidates please send a CV and a statement of interest to Dr. Avniel Ghuman (ghumana at upmc.edu) with the subject line ?Lab manager application.? Applications will be accepted until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Mon May 17 05:35:10 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Mon, 17 May 2021 11:35:10 +0200 Subject: Connectionists: Fwd: Call for Papers -- Computer Science and Systems -- FedCSIS event; IEEE #52320 -- Deadline May 24, 2021 In-Reply-To: <50927f5b-571c-3af9-93c7-78997b714d94@ibspan.waw.pl> References: <50927f5b-571c-3af9-93c7-78997b714d94@ibspan.waw.pl> Message-ID: <138d315e-eef9-dd8d-266d-04d4cd5f7f33@amu.edu.pl> -------- Forwarded Message -------- Subject: Call for Papers -- Computer Science and Systems -- FedCSIS event; IEEE #52320 -- Deadline May 24, 2021 Date: Mon, 17 May 2021 11:17:11 +0200 From: Marcin Paprzycki Reply-To: Marcin Paprzycki To: Marcin Paprzycki CALL FOR PAPERS Computer Science and Systems (CSS'21; https://fedcsis.org/2021/css) Organized within 2021 Federated Conference on Computer Science and Intelligence Systems (FedCSIS'21; IEEE #52320) ************************* COVID-19 Information ************************* While we have planned the 2021 conference to take place in Sofia, Bulgaria, slow progress in fighting the global pandemic has forced us to switch to the fully online mode. Therefore, we plan to organize FedCSIS 2022 in Sofia, and hope that by that time COVID will be over, and we will be able to meet in person. FedCSIS organizers *********************************************************************** FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE CSS is a FedCSIS track aiming at integrating and creating synergy between FedCSIS technical sessions which thematically subscribe to more technical (or applicable) aspects of computer science and related disciplines. The CSS track spans themes ranging from hardware issues close to the discipline of computer engineering via software issues tackled by the theory and applications of computer science and to communications issues of interest to distributed, smart, multimedia and network systems. The track is oriented on the research where the computer science meets the real world problems, real constraints, model objectives, etc. However the scope is not limited to applications, we all know that all of them were born from the innovative theory developed in laboratory. We want to show the fusion of these two worlds. Therefore one of the goals for the session is to show how the idea is transformed into application, since the history of modern science show that most of successful research experiments had their continuation in real world. CSS track is going to give an international panel where researchers will have a chance to promote their recent advances in applied computer science both from theoretical and practical side. Scope: ? Applied Artificial Intelligence ? Applied Parallel Computing ? Applied methods of multimodal, constrained and heuristic optimization ? Applied computer systems in technology, medicine, ecology, environment, economy, etc. ? Theoretical models of the above computer sciences developed into the practical use Track 2 includes technical sessions: ? Actors, Agents, Assistants, Avatars (1st Workshop 4A?21; http://fedcsis.org/2021/4A) ? Computer Aspects of Numerical Algorithms (14th Workshop CANA?21; https://www.fedcsis.org/2021/cana) ? Multimedia Applications and Processing (14th International Symposium MMAP?21; https://fedcsis.org/2021/mmap) ? Scalable Computing (12th Workshop WSC?21; https://www.fedcsis.org/2021/wsc) FedCSIS'21 KEYNOTE SPEAKERS: * David Bader; New Jersey Institute of Technology Keynote title: Solving Global Grand Challenges with High Performance Data Analytics * Rajkumar Buyya; Cloud Computing and Distributed Systems (CLOUDS) Lab, The University of Melbourne, Australia; and CEO, Manjrasoft Pvt Ltd, Melbourne, Australia Keynote title: Neoteric Frontiers in Cloud and Edge Computing * Hristo Djidjev; Los Alamos National Laboratory Keynote title: Using quantum annealing for discrete optimization * Moshe Y. Vardi; Rice University Keynote title: Lessons from COVID-19: Efficiency vs Resilience ZDZIS?AW PAWLAK BEST PAPER AWARD The Professor Zdzis?aw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS are eligible to be considered as the award winners. This award will be awarded independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2021/zp_award PAPER PUBLICATION: ? Authors should submit draft papers (as Postscript, PDF or MSWord file). ? The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. ? Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. ? Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. ? Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. ? Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. ? Conference proceedings will be indexed in BazEkon and?submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec,?Index Copernicus,?DBLP Computer Science Bibliography and?Google Scholar ? Organizers reserve right to move accepted papers between FedCSIS technical sessions. IMPORTANT DATES: + Paper submission (strict deadline): May 24, 2021, 23:59:59 (UCT-12; there will be no extension) + Position paper submission: June 14, 2021 + Author notification: July 5, 2021 + Final paper submission and registration: July 26, 2021 + Conference date: September 2-5, 2021 Please forward this announcement to your colleagues and associates who could be interested in it. Track Chairs ? Dimov, Ivan, Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Bulgaria ? Wasielewska-Michniewska, Katarzyna, Systems Research Institute, Polish Academy of Sciences, Poland Contact: css-program at fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus . -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From kaseris at csd.auth.gr Mon May 17 03:26:02 2021 From: kaseris at csd.auth.gr (Michail Kaseris) Date: Mon, 17 May 2021 10:26:02 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_John_Shawe-Ta?= =?utf-8?q?ylor=3A_=E2=80=9CAn_Introduction_to_PAC-Bayesian_Analysi?= =?utf-8?q?s=E2=80=9D=2C_18th_May_2021_17=3A00-18=3A00_CET=2E_Upcom?= =?utf-8?q?ing_AIDA_AI_excellence_lectures?= Message-ID: Dear AI scientist/engineer/student/enthusiast, Prof. *John Shawe-Taylor (University College London, UK), *a prominent AI researcher internationally, will deliver the e-lecture: *?An Introduction to PAC-Bayesian Analysis?*, on Tuesday 18th May 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/98708421450 & Passcode: 148148 The *International AI Doctoral Academy (AIDA)* , a joint initiative of the European R&D projects AI4Media , ELISE , Humane AI Net , TAILOR , VISION , currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: *Top highly-cited senior AI scientists internationally or* *Young AI scientists with promise of excellence (AI sprint lectures)* Lectures are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list . Best regards Profs. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe -------------- next part -------------- An HTML attachment was scrubbed... URL: From kripa.ghosh at gmail.com Mon May 17 06:52:17 2021 From: kripa.ghosh at gmail.com (Kripa Ghosh) Date: Mon, 17 May 2021 16:22:17 +0530 Subject: Connectionists: 2nd CFP: Symposium on Artificial Intelligence and Law (SAIL) Message-ID: [apologies for cross-posting ] *Symposium on Artificial Intelligence and Law (SAIL)* 31 May - 04 June, 2021 | Virtual event https://sites.google.com/view/sail-2021/ CALL FOR PARTICIPATION The Symposium on Artificial Intelligence and Law (SAIL) aims to bring together experts from Industry and Academia to discuss the future of AI and Law. The Symposium aims to provide a venue for academic and industrial/governmental AI-Law researchers and law professionals to come together, present and discuss research results, use cases, innovative ideas, challenges, and opportunities that arise from applications of AI in the Legal Domain. The Symposium is organized by Computer Science and AI researchers from IIT Kharagpur, IIT Kanpur, IISER Kolkata, TCG CREST (all from India) and CSIRO Australia, and Law researchers from the WB National University of Juridical Sciences (WBNUJS) and Vidhi Centre for Legal Policy, India. Details of organizers can be found on the website. == Invited talks == The symposium will have invited talks from eminent Law-AI researchers from both academia and industry (details available on the symposium website): * Kevin Ashley -- Professor of Law and Intelligent Systems, University of Pittsburgh, USA * Maura Grossman -- Professor, University of Waterloo; Adjunct Professor at Osgoode Hall Law School, USA * Jack G. Conrad -- Director and Lead Researcher, Center for AI and Cognitive Computing, Thomson Reuters, USA * Lyria Bennett Moses -- Director of the Allens Hub for Technology, Law and Innovation; Professor in the Faculty of Law and Justice at UNSW Sydney, Australia * Christoph Sorge -- Professor of Legal Informatics, University of Saarland, Germany * Dave Lewis -- Executive Vice President for AI Research and Ethics at Reveal-Brainspace, USA * Adam Wyner -- Faculty of Law and Computer Science, Hillary Rodham Clinton School of Law, Swansea University, UK * Guido Governatori -- Group Leader, Software Systems Research Group, CSIRO, Australia * Sachin Kumar -- Senior Data Scientist at LexisNexis, Raleigh, North Carolina, USA * Arthur Dyevre -- Faculty of Empirical Jurisprudence, KU Leuven, Belgium * Shiri Krebs -- Faculty, Deakin Law School, Australia * Suzan Verberne -- Group leader of Text Mining & Retrieval, Leiden University, Netherlands * Angshuman Hazarika -- Faculty, IIM Ranchi, India; Doctor of Law, Saarland Uni, Germany * Matthias Grabmair -- Faculty, LegalTech, TU Munich, Germany; Adjunct Professor, CMU LTI * Sshubham Joshi -- Founder, Lawnics, India == Panel Discussions == The symposium will have panel discussions on the future of AI and Law, with a special focus on the Law-AI scenario in India. Details are uploaded on the website. == Participation == The symposium will be fully online. Anyone interested in Law or application of AI in the legal domain is welcome to attend. Participation is free of cost, but prior registration is necessary. Interested participants need to register themselves on the symposium website https://sites.google.com/view/ sail-2021/ (under the "Participate" tab). Kind Regards, *Kripabandhu Ghosh* Co-organizer SAIL -------------- next part -------------- An HTML attachment was scrubbed... URL: From ssliu at coe.neu.edu Mon May 17 11:21:27 2021 From: ssliu at coe.neu.edu (Shanshan Liu) Date: Mon, 17 May 2021 15:21:27 +0000 Subject: Connectionists: [IEEE TETC Special Section] Call for Papers: Emerging Techniques for Trusted and Reliable Machine Learning Message-ID: <20210517152127.Horde.HvKDaykr-4EJvdm_gj1wEQ1@webmail.coe.neu.edu> Dear Colleague, ? IEEE Transactions on Emerging Topics in Computing (/TETC/) seeks submissions for the upcoming special section on??TO BE SAFE AND DEPENDABLE IN THE ERA OF ARTIFICIAL INTELLIGENCE: EMERGING TECHNIQUES FOR TRUSTED AND RELIABLE MACHINE LEARNING?[1].? ? During the last decade, advances in areas such as convolutional neural networks, deep learning, and hardware accelerators have enabled the widespread and ubiquitous adoption of machine learning (ML) in real-world systems. This trend is expected to continue and expand in the coming years, leading to a world that depends heavily on ML-based systems. ? To be safe and dependable in this new era of artificial intelligence, these innovative systems have to be reliable and secure. This poses many research challenges. For example, fault tolerance is commonly achieved by redundant design, but the implementation of deep neural networks is already challenging, so there is little room to add additional elements for fault tolerance. Similarly, understanding the vulnerabilities of advanced ML systems is a complex issue, as shown by recent attacks on image classification implementations. Therefore, it is essential to learn how to build ML systems that cannot be manipulated or corrupted by malicious attackers and that can operate reliably when its underlying hardware or software suffers from errors. ? This special section is devoted to: 1) recent advances in techniques, algorithms, and implementations for error-tolerant ML systems and 2) trust/reliable aspects of ML systems and algorithms, including vulnerabilities, management, protection, and mitigation schemes. Original papers with substantial technical contribution are solicited on the following topics: * Design and analysis of trusted/reliable ML algorithms and systems * Innovative computational paradigms for ML, such as approximate/stochastic computing * Fault/error-tolerant ML systems and techniques * Trust, dependability, reliability, and security in ML implementations * Adversarial and related techniques for ML systems and algorithms * Techniques for trustworthy ML inclusive of detection, mitigation, and defense * Evaluation of ML for applications such as in safety-critical and secure systems ? SCHEDULE * DEADLINE FOR SUBMISSIONS: October 15, 2021 * First decision (accept/reject/revise, tentative): January 15, 2022 * Submission of revised papers: March 15, 2022 * Notification of final decision (tentative): May 1, 2022 * Journal publication (tentative): second half of 2022 SUBMISSION GUIDELINES Submitted papers must include new significant research-based technical contributions in the scope of the journal. Purely theoretical, technological, or lacking methodological-and-generality papers are not suitable for this special section. The submissions must include clear evaluations of the proposed solutions (based on simulation and/or implementation results) and comparison to state-of-the-art solutions. Papers under review elsewhere are not acceptable for submission. Extended versions of published conference papers (to be included as part of the submission together with a summary of differences) are welcome but there must have at least 40% of new impacting technical/scientific material in the submitted journal version, and there should be less than 50% verbatim similarity level as reported by a tool (such as CrossRef). Guidelines concerning the submission process, LaTeX, and Word templates can be found on?the Author Information page[2]. While submitting through?ScholarOne[3], please select this special-section option. As per?/TETC/?policies, only full-length papers (10-16 pages with technical material, double column ? papers beyond 12 pages will be subject to MOPC, as per CS policies -) can be submitted to special sections. The bibliography should not exceed 45 items and each author?s bio should not exceed 150 words. QUESTIONS? Contact the guest editors at?ftsmltetcss at gmail.com[4]. ? GUEST EDITORS: Shanshan Liu, Northeastern University, USA (IEEE Member) Pedro Reviriego, Universidad Carlos III de Madrid, Spain (IEEE Senior Member) Fabrizio Lombardi, Northeastern University, USA (IEEE Fellow) CORRESPONDING?/TETC/?EDITOR: Patrick Girard, LIRMM, France (IEEE Fellow) Further details are?available?at?https://www.computer.org/digital-library/journals/ec/call-for-papers-special-section-on-to-be-safe-and-dependable-in-the-era-of-artificial-intelligence-emerging-techniques-for-trusted-and-reliable-machine-learning Links: ------ [1] http://www.computer.org/digital-library/journals/ec/call-for-papers-special-section-on-to-be-safe-and-dependable-in-the-era-of-artificial-intelligence-emerging-techniques-for-trusted-and-reliable-machine-learning [2] https://www.computer.org/csdl/journals/ec/write-for-us/15071?title=Author%20Information&periodical=IEEE%20Transactions%20on%20Emerging%20Topics%20in%20Computing [3] https://mc.manuscriptcentral.com/tetc-cs [4] -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Mon May 17 08:29:17 2021 From: cgf at isep.ipp.pt (Carlos) Date: Mon, 17 May 2021 13:29:17 +0100 Subject: Connectionists: IEEE/ACM/ASA DSAA'2021: CFPs Research, Application, Industrial, PhD and Special Sessions Tracks Message-ID: =============================================================== IEEE/ACM/ASA DSAA'2021 CALL FOR PAPERS: Research, Application, Industrial, PhD and Special Sessions Tracks Research & Application Tracks: https://dsaa2021.dcc.fc.up.pt/calls/research-applications-tracks Industrial Track: https://dsaa2021.dcc.fc.up.pt/calls/industrial-track PhD Track: https://dsaa2021.dcc.fc.up.pt/calls/phd-track Special Sessions: https://dsaa2021.dcc.fc.up.pt/calls/special-sessions =========== Important Dates =========== Research, Application, Special Session, and Tutorials: submission deadline: 23 May 2021 Research, Application, and Special Session tracks notification: 25 Jul. 2021 Research, Application, and Special Session tracks camera ready due: 8 Aug. 2021 PhD Track submission deadline: 1 July 2021 PhD Track notification: 15 July 2021 =========== Attached to this e-mail you can find a document containing detailed information about the Call For Papers. Best Regards, Carlos Ferreira Publicity Chair Carlos Ferreira [https://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt -------------- next part -------------- A non-text attachment was scrubbed... Name: Call for Papers.pdf Type: application/pdf Size: 220419 bytes Desc: not available URL: From max.garagnani at gmail.com Mon May 17 13:25:29 2021 From: max.garagnani at gmail.com (Max Garagnani) Date: Mon, 17 May 2021 18:25:29 +0100 Subject: Connectionists: Applications are OPEN:: MSc in Computational Cognitive Neuroscience in London (UK) Message-ID: <20E35543-2B2A-4D63-95CB-8E2EEE5414F4@campus.goldsmiths.ac.uk> ********************************************************************************** The MSc in COMPUTATIONAL COGNITIVE NEUROSCIENCE at Goldsmiths, University of London (UK) ********************************************************************************** is now ACCEPTING APPLICATIONS for 2021-22 ENTRY. Note that places are limited and will be allocated on a first-come first-served basis. If you are considering this programme, we recommend applying now rather than later to avoid disappointment. For INFORMATION ABOUT THE COURSE please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ HOW TO APPLY: ============= To submit a free-of-cost online application, simply click on the following link: https://bit.ly/2Fi86SB and follow the instructions. COURSE OUTLINE: =============== This cutting-edge Masters course, a combined effort of the Computing and Psychology Departments, builds on the multi-disciplinary and strong research profiles of our staff. It equips students with a solid theoretical basis and knowledge of experimental methods in computational cognitive neuroscience, providing them also with an opportunity to consolidate their skills in a practical research project, possibly carried out in collaboration with a partner from industry. Here is a the recording of a short live presentation of this MSc programme: https://coconeuro.com/wp-content/uploads/2020/11/24.11.20-PGOpen.mp4 This is a one-year (full-time) or two-years (part-time) MSc degree programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: international / EU students, who need a Tier-4 VISA to study in the UK, can only register for full-time studies). It is designed for students with a good degree in the biological / life (psychology, neuroscience, biology, medicine, etc.) or physical (computer science, mathematics, physics, engineering) sciences, however, individuals with different backgrounds but commensurate experience will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out ?in house? or in collaboration with an external partner, either from academia or industry. For samples of previous MSc final Research projects, visit: https://coconeuro.com/ For information about funding opportunities and tuition fees, please visit: https://www.gold.ac.uk/pg/fees-funding/ LINKS WITH INDUSTRY: ==================== The programme prides itself of having active partnerships with a number of collaborators from industry, including representatives from international companies with headquarters in UK, Germany, Italy, USA and Japan. Carrying out your final project in collaboration with one of our industry partners (or securing a placement with them after completion of your degree) will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you very competitive on the job market. Here is what our alumni have to say about this course: https://coconeuro.com/ For any other specific questions, please do not hesitate to get in touch. Kind regards, Max Garagnani -- Joint Programme Leader, MSc in Computational Cognitive Neuroscience Lecturer in Computer Science Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK https://www.gold.ac.uk/computing/people/garagnani-max/ ******************************************************************************* -------------- next part -------------- An HTML attachment was scrubbed... URL: From tommasi.t at gmail.com Mon May 17 20:36:42 2021 From: tommasi.t at gmail.com (Tatiana Tommasi) Date: Tue, 18 May 2021 02:36:42 +0200 Subject: Connectionists: CFP Extended Deadline - Learning from Limited and Imperfect Data (L2ID) Challenges Message-ID: *Learning from Limited and Imperfect Data (L2ID) Challenges* In conjunction with the L2ID Workshop at CVPR 2021 June 20, 2021 (Full Day, Virtual Online) https://l2id.github.io/ ****************************** *CALL FOR PARTICIPATION* As part of the CVPR 2021 L2ID workshop, we have two sets of challenges on weakly supervised learning and multi-domain few-shot classification. We invite you to participate! Winners will be able to present their works during the workshop. *Localization* Check the rules at https://l2id.github.io/challenge_localization.html Track 1 - Weakly Supervised Semantic Segmentation This track targets on learning to perform object semantic segmentation using image-level annotations as supervision. Track 2 - Weakly supervised product detection and retrieval Given a photo containing multiple product instances and a user-provided description, the track aims to detect the boxes of each product and retrieve the correct single product image in the gallery. Track 3 - Weakly-supervised Object Localization This track targets on making the classification networks be equipped with the ability of object localization. Track 4 - High-resolution Human Parsing This track aims to recognize human parts within high-resolution images by learning with low-resolution ones. *Multi-Domain Few Shot Classification* Check the rules at https://l2id.github.io/challenge_classification.html Track 1 - Cross Domain, small scale This track calls for the development of cross-domain few-shot learning models starting from multiple sources and with no explicit label overlap between sources and target. Track 2 - Cross Domain, large scale In this track additional datasets to both source and target datasets have been added for participants with sufficient compute resources. In addition to the multiple sources, *multiple tasks* from which to draw source data or models are provided. Track 3 - Cross Domain, larger number of classes In this track, the ?wayness? of few-shot learning is increased, bringing it closer to semi-supervised learning. ****************************** *IMPORTANT DATES* Submission Deadline: May 14th *May 28th* Leaderboard Published / Invitations Sent: May 21th* June 4th* ****************************** *WORKSHOP ORGANIZERS:* Zsolt Kira (Georgia Tech, USA) Shuai (Kyle) Zheng (Dawnlight Technologies Inc, USA) Noel C. F. Codella (Microsoft, USA) Yunchao Wei (University of Technology Sydney, AU) Tatiana Tommasi (Politecnico di Torino, IT) Ming-Ming Cheng (Nankai University, CN) Judy Hoffman (Georgia Tech, USA) Antonio Torralba (MIT, USA) Xiaojuan Qi (University of Hong Kong, HK) Sadeep Jayasumana (Google, USA) Hang Zhao (MIT, USA) Liwei Wang (Chinese University of Hong Kong, HK) Yunhui Guo (UC Berkeley/ICSI, USA) Lin-Zhuo Chen (Nankai University, CN) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Mon May 17 12:31:04 2021 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 17 May 2021 18:31:04 +0200 Subject: Connectionists: #ACDL2021, 4th Online & Onsite Advanced Course on Data Science & Machine Learning | July 19-23, 2021 | Certosa di Pontignano, Italy - Early Registration: by Tuesday June 15, 2021 Message-ID: #ACDL2021, 4th Online & Onsite Advanced Course on Data Science & Machine Learning | July 19-23, 2021 | Certosa di Pontignano, Italy - Early Registration: by Tuesday June 15, 2021 #ACDL2021, An Interdisciplinary Course: #BigData, #DeepLearning & #ArtificialIntelligence without Borders ACDL 2021 ? A Unique Experience: #DataScience, #MachineLearning & #ArtificialIntelligence with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano (Online attendance available) Certosa di Pontignano, Siena - #Tuscany, Italy July 19-23 https://acdl2021.icas.cc acdl at icas.cc ACDL 2021 (as ACDL 2020): an #OnlineAndOnsiteCourse https://acdl2021.icas.cc/acdl-2021-as-acdl-2020-an-online-onsite-course/ REGISTRATION: Early Registration: by Tuesday June 15, 2021 https://acdl2021.icas.cc/registration/ DEADLINES: o Early Registration: by Tuesday June 15, 2021 (GMT+01) o Oral/Poster Presentation Submission Deadline: Tuesday June 15, 2021 (GMT+01) o Late Registration: from Wednesday June 16, 2021 o Accommodation Reservation at Reservation at the Certosa di Pontignano: by Saturday July 10, 2021 o Notification of Decision for Oral/Poster Presentation: by Wednesday June 30, 2021 LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. https://acdl2021.icas.cc/lecturers/ * Pierre Baldi, University of California Irvine, USA * Bettina Berendt, KU Leuven, Belgium * Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian Federation * Chris Bishop, Microsoft, Cambridge, UK Laboratory Director at Microsoft Research Cambridge & University of Edinburgh * Silvia Chiappa, DeepMind, London, UK * Oren Etzioni, Allen Institute for AI, USA CEO at Allen Institute for AI * Marco Gori, University of Siena, Italy * Georg Gottlob, Computer Science Dept, University of Oxford, UK * Michael I. Jordan, University of California, Berkeley, USA * Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK * Panos Pardalos, University of Florida, USA * Daniela Rus, MIT, USA Director of CSAIL * Silvio Savarese, Stanford, University, USA Institute for Human-Centered Artificial Intelligence * Cristina Savin, New York University, Center for Neural Science and Center for Data Science, USA * Naftali Tishby, Hebrew University, Israel * Isabel Valera, Saarland University, Germany Max Planck Institute for Intelligent Systems, T?bingen, Germany * Mihaela van der Schaar, University of Cambridge, UK More Keynote Speakers to be announced soon. TUTORIAL SPEAKER: * Roman Belavkin, Middlesex University London, UK PAST LECTURERS: https://acdl2021.icas.cc/past-lecturers/ * Ioannis Antonoglou, Google DeepMind, UK * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Roman Belavkin, Middlesex University London, UK * Yoshua Bengio, University of Montreal, Canada * Michael Bronstein, Twitter & Imperial College London, UK * Sergiy Butenko, Texas A&M University, USA * Giuseppe Di Fatta, University of Reading, UK * Marco Gori, University of Siena, Italy * Yi-Ke Guo, Imperial College London, UK & Founding Director of Data Science Institute * Phillip Isola, MIT, USA * Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Ilias S. Kotsireas, Wilfrid Laurier University, Canada * Risto Miikkulainen, University of Texas at Austin, USA * Peter Norvig, Director of Research, Google * Panos Pardalos, University of Florida, USA * Alex 'Sandy' Pentland, MIT & Director of MIT?s Human Dynamics Laboratory, USA * Jos? C. Principe, University of Florida, USA * Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA * Dolores Romero Morales, Copenhagen Business School, Denmark * Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple, USA * Guido Sanguinetti, The University of Edinburgh, UK * Josh Tenenbaum, MIT, USA * Naftali Tishby, Hebrew University, Israel * Mihaela van der Schaar, University of Cambridge * Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands * Oriol Vinyals, Google DeepMind, UK SCOPE: MSc students, PhD students, postdocs, junior/senior academics, and industry practitioners will be typical profiles of the attendants. In fact, the Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. VENUE: The venue of ACDL 2021 will be The Certosa di Pontignano ? Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2021.icas.cc/venue/ ACCOMMODATION: https://acdl2021.icas.cc/accommodation/ PAST EDITIONS https://acdl2021.icas.cc/past-editions/ https://acdl2018.icas.xyz https://acdl2019.icas.xyz https://acdl2020.icas.xyz/ REGISTRATION: https://acdl2021.icas.cc/registration/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. ACDL 2021 Poster: https://acdl2021.icas.cc/wp-content/uploads/sites/15/2021/02/poster-ACDL-2021.png Anyone interested in participating in ACDL 2021 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in 3D or 2D :) in Tuscany next July! ACDL 2021 Organizing Committee. https://acdl2021.icas.cc/category/news/ https://acdl2021.icas.cc/faq/ acdl at icas.cc https://acdl2021.icas.cc https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Mon May 17 22:47:00 2021 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 18 May 2021 08:17:00 +0530 Subject: Connectionists: ISCMI21 (in memory of Life & Work of Prof. Lotfi Zadeh) - A virtual conference Message-ID: Dear colleagues, This is to update you that after taking stock of the current global covid situation, the core committee of IICCI has decided to hold 2021 8th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI21) in virtual form. The formal announcement regarding the same has been uploaded at the conference web site http://iscmi.us/ Thanks very much & hope to receive your manuscripts (deadline : 30th June) in the coming days. With kind rgds, Suash General Chair, ISCMI21 -------------- next part -------------- An HTML attachment was scrubbed... URL: From guidomontufar at gmail.com Mon May 17 12:50:00 2021 From: guidomontufar at gmail.com (Guido F. Montufar) Date: Mon, 17 May 2021 18:50:00 +0200 Subject: Connectionists: Conference on Mathematics of Machine Learning at ZIF Message-ID: Conference on Mathematics of Machine Learning at ZIF Dear Colleagues, We are pleased to announce the conference "Mathematics of Machine Learning" to be held at ZIF (in a hybrid in person - online format), Bielefeld, Germany on August 04 - 07, 2021. The conference will have a main session and a session for contributed talks and posters. Confirmed speakers: Yasaman Bahri (Google Brain, USA) Pierre Baldi (University of California, Irvine, USA) Peter Bartlett (University of California, Berkeley, USA) Lenaic Chizat (Universite Paris-Saclay, France) Minh Ha Quang (RIKEN-AIP, Japan) Matthias Hein (University of T?bingen, Germany) Stefanie Jegelka (Massachusetts Institute of Technology, USA) Arnulf Jentzen (Universit?t M?nster, Germany) Kathlen Kohn (KTH - Royal Institute of Technology, Sweden) V?ra K?rkov? (Czech Academy of Sciences, Czech Republic) Jason Lee (Princeton University, USA) Stanley Osher (University of California, Los Angeles, USA) Jeffrey Pennington (Google Brain, USA) Stefano Soatto (University of California, Los Angeles, USA) Ingo Steinwart (University of Stuttgart, Germany) Dmitry Yarotski (Skoltech, Russia) Lenka Zdeborov? (EPFL - ?cole Polytechnique F?d?rale de Lausanne, Switzerland) If you would like to participate at the conference, you are kindly invited to register at the conference webpage (https://www.mis.mpg.de/calendar/conferences/2021/mml2021), where you can indicate your preference to participate online or in person, and also submit a title and abstract in case you would like to contribute a talk or poster. We also welcome the submission of extended abstracts (up to 4 pages excluding references and appendices). Accepted submissions will be presented during poster sessions or selected for contributed talks. Submitted work will be posted on the conference site under a non-archival status. The deadline for pre-registration is June 01, 2021. This conference has no registration fee and is open to all interested participants, but ZIF has a limited number of places. A notification for in person participation and contributed talks and posters will be sent around mid June 2021. The website of the conference is: https://www.mis.mpg.de/calendar/conferences/2021/mml2021.html Further information can be found on the website which will be regularly updated. Please feel free to pass on this announcement to anyone who might be interested in the conference. With best regards, Benjamin Gess, Guido Montufar, Nihat Ay -- GUIDO F. MONTUFAR -------------- next part -------------- An HTML attachment was scrubbed... URL: From riccardo.guidotti at unipi.it Mon May 17 10:19:10 2021 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Mon, 17 May 2021 16:19:10 +0200 Subject: Connectionists: XKDD 2021 - Call for Papers Message-ID: XKDD 2021 - Call for Papers ------------------------------------------------------------------------- 3rd International Workshop on eXplainable Knowledge Discovery in Data Mining ------------------------------------------------------------------------- IMPORTANT DATES Paper Submission deadline: June 23, 2021 Accept/Reject Notification: July 10, 2021 Camera-ready deadline: July 31, 2021 Workshop: September 13, 2021 CONTEXT & OBJECTIVES In the past decade, machine learning based decision systems have been widely used in a wide range of application domains, like for example credit score, insurance risk, and health monitoring, in which accuracy is of the utmost importance. Although the support of these systems has a big potential to improve the decision in different fields, their use may present ethical and legal risks, such as codifying biases, jeopardizing transparency and privacy, reducing accountability. Unfortunately, these risks arise in different applications and they are made even more serious and subtly by the opacity of recent decision support systems, which often are complex and their internal logic is usually inaccessible to humans. Nowadays most of the Artificial Intelligence (AI) systems are based on Machine Learning algorithms. The relevance and need of ethics in AI is supported and highlighted by various initiatives arising from the researches to provide recommendations and guidelines in the direction of making AI-based decision systems explainable and compliant with legal and ethical issues. These include the EU's GDPR regulation which introduces, to some extent, a right for all individuals to obtain ``meaningful explanations of the logic involved'' when automated decision making takes place, the ``ACM Statement on Algorithmic Transparency and Accountability'', the Informatics Europe's ``European Recommendations on Machine-Learned Automated Decision Making'' and ``The ethics guidelines for trustworthy AI'' provided by the EU High-Level Expert Group on AI. The challenge to design and develop trustworthy AI-based decision systems is still open and requires a joint effort across technical, legal, sociological and ethical domains. The purpose of XKDD, eXaplaining Knowledge Discovery in Data Mining, is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining and machine learning. XKDD is an event organized into two moments: a tutorial to introduce audience to the topic, and a workshop to discuss recent advances in the research field. The tutorial will provide a broad overview of the state of the art on the major applications for explainable and transparent approaches and their relationship with fairness and privacy. Moreover, it will present Python/R libraries that practically shows how explainability and fairness tasks can be addressed. The workshop will seek top-quality submissions addressing uncovered important issues related to ethical, fair, explainable and transparent data mining and machine learning. Papers should present research results in any of the topics of interest for the workshop as well as application experiences, tools and promising preliminary ideas. XKDD asks for contributions from researchers, academia and industries, working on topics addressing these challenges primarily from a technical point of view, but also from a legal, ethical or sociological perspective. Topics of interest include, but are not limited to: TOPICS - Explainable Artificial Intelligence - Interpretable Machine Learning - Transparent Data Mining - Explainability in Clustering Analysis - Technical Aspects of Algorithms for Explanation - Explaining Black Box Decision Systems - Adversarial Attack-based Models - Counterfactual and Prototype-based Explanations - Causal Discovery for Machine Learning Explanation - Fairness Checking - Fair Machine Learning - Explanation for Privacy Risk - Ethics Discovery for Explainable AI - Privacy-Preserving Explanations - Transparent Classification Approaches - Anonymity and Information Hiding Problems in Comprehensible Models - Case Study Analysis - Experiments on Simulated and Real Decision Systems - Monitoring and Understanding System Behavior - Privacy Risk Assessment - Privacy by Design Approaches for Human Data - Statistical Aspects, Bias Detection and Causal Inference - Explanation, Accountability and Liability from an Ethical and Legal Perspective - Benchmarking and Measuring Explanation - Visualization-based Explanations - Iterative Dialogue Explanations - Explanatory Model Analysis - Human-Model Interfaces - Human-Centered Artificial Intelligence - Human-in-the-Loop Interactions SUBMISSION & PUBLICATION All contributions will be reviewed by at least three members of the Program Committee. As regards size, contributions can be up to 16 pages in LNCS format, i.e., the ECML PKDD 2021 submission format. All papers should be written in English and be in LNCS format. The following kinds of submissions will be considered: research papers, tool papers, case study papers and position papers. Detailed information on the submission procedure are available at the workshop web page: https://kdd.isti.cnr.it/xkdd2021/ Accepted papers will be published after the workshop by Springer in a volume of Lecture Notes in Computer Science (LNCS). Condition for inclusion in the post-proceedings is that at least one of the co-authors has presented the paper at the workshop. Pre-proceedings will be available online before the workshop. We also allow accepted papers to be presented without publication in the conference proceedings, if the authors choose to do so. Some of the full paper submissions may be accepted as short papers after review by the Program Committee. A special issue of a relevant international journal with extended versions of selected papers is under consideration. The submission link is: https://easychair.org/conferences/?conf=xkdd2021 KEYNOTE SPEAKER - Andreas Holzinger, Human-Centered AI Lab, Medical University of Graz, Austria PROGRAM COMMITEE - Avishek Anand, Leibniz University, Germany - Umang Bhatt, University of Cambridge, UK - Francesco Bodria, Scuola Normale Superiore, Italy - Giuseppe Casalicchio, Ludwig-Maximilians-University of Munich, Germany - Chaofan Chen, University of Maine, US - Miguel Couceiro, INFRIA, France - Josep Domingo-Ferrer, Universitat Rovira i Virgili, Spain - Thibault Laugel, AXA, France - Paulo Lisboa, Liverpool John Moores University, UK - Michael Loizos, Open University of Cyprus, Cyprus - Marcin Luckner, Warsaw University of Technology, Poland - Stan Matwin, Dalhousie University, Canada - Ramaravind Kommiya Mothilal, Everwell Health Solutions, India - Francesca Naretto, Scuola Normale Superiore, Italy - Roberto Prevete, University of Napoli Federico II, Italy - Antonio Rago, Imperial College London, UK - Jan Ramon, INFRIA, France - Xavier Renard, AXA, France - Mahtab Sarvmaili, Dalhousie University, Canada - Dominik Slezak, University of Warsaw, Poland - Myra Spiliopoulou, University Magdeburg, Germany - Kacper Sokol, University of Bristol, UK - Vicenc Torra, Umea University, Sweden - Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece - Cagatay Turkay, University of Warwick, UK - Marco Virgolin, Chalmers University of Technology, Netherlands - Wendy Hui Wang, Stevens Institute, USA - Guangyi Zhang, KTH Royal Institute of Technology, Sweden PROGRAM CO-CHAIRS * Przemyslaw Biecek, Warsaw University of Technology, Poland * Riccardo Guidotti, University of Pisa, Italy * Anna Monreale, University of Pisa, Italy * Salvatore Rinzivillo, ISTI-CNR, Pisa, Italy CONTACT All inquires should be sent to xkdd2021 at easychair.org -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at unipi.it Web: http://kdd.isti.cnr.it/homes/guidotti/ KDD Lab, Room: 286 Phone: +39 050 221 3134 -------------- next part -------------- An HTML attachment was scrubbed... URL: From renoust at ids.osaka-u.ac.jp Mon May 17 16:29:59 2021 From: renoust at ids.osaka-u.ac.jp (Benjamin Renoust) Date: Mon, 17 May 2021 22:29:59 +0200 Subject: Connectionists: [CFP COMPLEX NETWORKS 2021] Madrid Spain November 30 - December 02, 2021 Message-ID: [Apologies for multiple posting] CFP COMPLEX NETWORKS 2021 Madrid Spain November 30 - December 02, 2021 10th International Conference on Complex Networks & Their Applications Madrid, Spain November 30 - December 02, 2021 COMPLEX NETWORKS 2021 You are cordially invited to submit your contribution until September 02, 2021. SPEAKERS - Marc Barth?l?my CEA France - Ginestra Bianconi Queen Mary University of London UK - Jo?o Gama University of Porto Portugal - Dirk Helbing ETH Z?rich Switzerland - Yizhou Sun UCLA USA - Alessandro Vespignani Northeastern University USA TUTORIALS (November 29, 2021) - Elisabeth Lex Graz University of Technology Austria - Giovanni Petri ISI Foundation Italy PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. - Papers will be included in the conference proceedings edited by Springer - Extended abstracts will be published in the Book of Abstracts (with ISBN) Extended versions will be invited for publication in special issues of international journals: - Applied Network Science edited by Springer - Complex Systems - Computational Social Networks edited by Springer - Network Science edited by Cambridge University Press - PLOS one - Social Network Analysis and Mining edited by Springer TOPICS Topics include, but are not limited to: - Models of Complex Networks - Structural Network Properties and Analysis - Complex Networks and Epidemics - Community Structure in Networks - Community Discovery in Complex Networks - Motif Discovery in Complex Networks - Network Mining - Network embedding methods - Machine learning with graphs - Dynamics and Evolution Patterns of Complex Networks - Link Prediction - Multilayer Networks - Network Controllability - Synchronization in Networks - Visual Representation of Complex Networks - Large-scale Graph Analytics - Social Reputation, Influence, and Trust - Information Spreading in Social Media - Rumour and Viral Marketing in Social Networks - Recommendation Systems and Complex Networks - Financial and Economic Networks - Complex Networks and Mobility - Biological and Technological Networks - Mobile call Networks - Bioinformatics and Earth Sciences Applications - Resilience and Robustness of Complex Networks - Complex Networks for Physical Infrastructures - Complex Networks, Smart Cities and Smart Grids - Political networks - Supply chain networks - Complex networks and information systems - Complex networks and CPS/IoT - Graph signal processing - Cognitive Network Science - Network Medicine - Network Neuroscience - Quantifying success through network analysis - Temporal and spatial networks - Historical Networks GENERAL CHAIRS Rosa Maria Benito Universidad Politecnica de Madrid, Spain Hocine Cherifi University of Burgundy, France Esteban Moro Universidad Carlos III de Madrid, Spain ADVISORY BOARD Jon Crowcroft University of Cambridge, UK Raissa D'Souza UC Davis, USA Eugene Stanley Boston University, USA Ben Y. Zhao University of Chicago, USA PROGRAM CHAIRS Chantal Cherifi University of Lyon, France Luis M. Rocha Indiana University, USA Marta Sales-Pardo Universitat Rovira i Virgili, Spain LIGHTNING CHAIRS Jes?s Gomez Garde?es University of Zaragoza, Spain Regino Criado Universidad Rey Juan Carlos de Madrid, Spain Huijuan Wang TU Delft, Netherlands POSTER CHAIRS Manuel Marques Pita Universidade Lus?fona, Portugal Taha Yasseri University of Oxford, UK Jos? Javier Ramasco IFISC, Spain TUTORIAL CHAIRS Luca Maria Aiello Nokia-Bell Labs, UK Leto Peel Universit? Catholique de Louvain, Belgium SATELLITE CHAIR Javier Galeano Universidad Politecnica de Madrid, Spain PUBLICITY CHAIRS Benjamin Renoust Osaka University, Japan Xiangjie Kong Dalian University of Technology, China SPONSOR CHAIR Roberto Interdonato CIRAD, France STUDENT GRANT CHAIR Sabrina Gaito Universit? degli Studi di Milano, Italy PUBLICATION CHAIR Matteo Zignani Universit? degli Studi di Milano, Italy WEB CHAIR Stephany Rajeh University of Burgundy, France LOCAL COMMITTEE CHAIR Juan Carlos Losada Universidad Politecnica de Madrid, Spain -- 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 redish at umn.edu Tue May 18 09:47:00 2021 From: redish at umn.edu (David Redish) Date: Tue, 18 May 2021 08:47:00 -0500 Subject: Connectionists: Postdoctoral position in computational psychiatry available at the University of Minnesota Message-ID: Direct link to position: https://hr.myu.umn.edu/jobs/ext/340888 Postdoctoral position in theoretical neuroscience/computational psychiatry A postdoctoral position is available immediately to study the dynamics of neural ensembles and their variation in health and disease. The postdoc will be supervised by Dr. Audrey Sederberg and Dr. David Redish as a part of the computational core of the new NIMH-funded Conte Center at the University of Minnesota, a multi-lab collaboration to determine the mechanisms of information processing breakdown in psychosis and ultimately develop optimized treatments for people suffering from this disorder. More information on the Conte Center at UMN is available at neuroprsmh.umn.edu. The postdoctoral fellow will be responsible for modeling the dynamics of ensembles of neurons using data that are being recorded across multiple species, including rodents and non-human primates, during complex decision-making tasks. The patterns of errors in these tasks vary with disease status, and the overarching goal is to use this modeling framework to determine the dynamical basis of failures in information processing in local circuits. A secondary goal is to determine the extent to which different failure modes could be detected based on non-invasive measurements in humans (e.g. EEG, MEG, fMRI). The postdoc will be primarily in Dr. Sederberg's group, which is affiliated with the Medical Discovery Team (MDT) for Optical Imaging and Brain Science, housed in the Center for Magnetic Resonance Research. A fraction of the postdoc?s time will be reserved for projects of their choice, with many opportunities for collaboration in the MDT and elsewhere throughout the neuroscience and computational communities at the University of Minnesota. Candidates must have a Ph.D. in neuroscience or a related field, with a strong quantitative background. Coding skills are required (MATLAB or python) and experience with statistical models of populations of neurons is desired. Salary will be commensurate with experience, within the postdoctoral salary range of the University of Minnesota. The position is initially for one year, but funding is available for multiple years upon mutual agreement. To apply, please send: ? your CV, ? a link to the paper you wrote that you are most proud of, ? a cover letter including a short paragraph (300 words or less) describing your research interests, and ? the names of two people we can contact for references. The University is an equal-opportunity employer. Candidates from all backgrounds are encouraged to apply. *The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.* *The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: * *http://diversity.umn.edu**.* ------------------------------------------------------------------- A. David Redish redish at umn.edu http://www.umn.edu/~redish ----------------------------- Distinguished McKnight University Professor and J. B. Johnston Land Grant Chair Department of Neuroscience University of Minnesota ------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Tue May 18 08:36:04 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Tue, 18 May 2021 14:36:04 +0200 Subject: Connectionists: VISMAC2020 PhD summer school - REGISTRATION IS NOW OPEN! Message-ID: Call for Participation - VISMAC2020 === Apologies for multiple posting === Please distribute this call to interested parties ____________________________________________ V I S M A C (VISione delle MACchine) [in English, "Machine Vision"] International Summer School September 21st - 24th, 2021, Palermo, Italy https://math.unipa.it/vismac2020 ____________________________________________ === UPDATES regarding COVID-19 (coronavirus) === VISMAC2020 is half a year away and hopefully the COVID-19 emergency will be over by then. We would like to thank all those who have already expressed interest in attending the VISMAC summer school. The school is now set to be held from the 21st to the 24th of September 2021, either as a full online event or in mixed online / live mode, depending on the developments related to COVID-19 pandemic. Please, feel free to express your interest by emailing us: we will add you to our mailing list and keep you promptly informed of any new development. Take care of yourselves, and see you soon. === Aim & Scope === The international summer school VISMAC "VISione delle MACchine" (in English, "Machine Vision") is organized every two years by the "Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning" (CVPL - ex-GIRPR) affiliated to International Association for Pattern Recognition (IAPR). It represents a stimulating opportunity for doctoral students, young researchers from universities, research institutions and industry. The primary objective of the Summer School is to provide a common scientific and cultural background on the subjects of computer vision and pattern recognition. This edition of VISMAC will mainly focus on four renowned research topics: Bio-imaging, Automotive, Cultural Heritage, Image forensics. === List of Speakers === Bio-imaging - Carlo Sansone, UNINA Federico II - Elena Casiraghi, UNIMI - Paolo Soda, UCBM - Francesco Tortorella, UNISA - Joseph Stancanello, Elekta Automotive - Sergio Saponara, UNIPI - Roberto Vezzani, UNIMORE - Alessandro Rizzi, UNIMI - Alberto Broggi, VisLab/Ambarella Cultural Heritage - Gabriele Guidi, POLIMI - Carlo Colombo, UNIFI - Andrea Fusiello, UNIUD - Francesca Odone, UNIGE - Fabio Remondino, FBK Trento - Alessandro Dal Colle, Klain Robotics Image forensics - Francesco De Natale, UNITN - Gian Luca Marcialis, UNICA - Luisa Verdoliva, UNINA Federico II - Jerian Martino, Amped Software === Program === Book of abstracts can be downloaded here: https://math.unipa.it/vismac2020/resources/VISMAC2020-2021-BoA-Onine.pdf === Registration === School registrations are limited to forty participants, on a FIFS basis. The registration fee is 100 Euro. Accepted students can submit a poster to present their research activity. The best poster selected by the school committee will receive a prize sponsored by CVPL. Registration form and info are available here: https://math.unipa.it/vismac2020/markdown-2/ === Scientific Committee === - Domenico Tegolo, UNIPA - Cesare Valenti, UNIPA - Roberto Pirrone, UNIPA - Filippo Stanco, UNICT === Local Committee === - Marco E. Tabacchi, UNIPA - Fabio Bellavia, UNIPA === Sponsors === - CVPL (ex-GIRPR) - Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning - Universita' degli Studi di Palermo - Universita' degli Studi di Catania - CITC - Centro Interdipartimentale di Tecnologie della Conoscenza, Universita' degli Studi di Palermo - DMI - Dipartimento di Matematica e Informatica, Universita' degli Studi di Palermo ____________________________________________ Contacts https://math.unipa.it/vismac2020 vismac2020 at gmail.com From Donald.Adjeroh at mail.wvu.edu Tue May 18 12:22:29 2021 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 18 May 2021 16:22:29 +0000 Subject: Connectionists: Postdoc opportunity in Machine Learning and Forensics In-Reply-To: References: Message-ID: Postdoctoral Research Associate - Department of Forensic and Investigative Sciences (ECAS). Position Number 16807 Description The Department of Forensic and Investigative Sciences (FIS) in the Eberly College of Arts and Sciences at West Virginia University is seeking applications for a Postdoctoral Research Associate to join Dr. Tatiana Trejos research group to support the project ?Assessing the Strength of Trace Evidence Fracture Fits through a Comprehensive, Systematic, and Quantifiable Approach? The position is funded for 18 months and requires a proactive and independent researcher to work in collaboration with Dr. Tatiana Trejos at the FIS Department and Dr. Aldo Romero at the Physics and Astronomy Department. The position will be involved in the development of deep learning machine learning algorithms and databases to quantify the quality of a physical edge fit of materials of forensic interest. Successful candidates will perform independent research in the areas of machine learning and imaging, computer science, and statistics, will mentor undergraduate and graduate students, disseminate and publish research in peer-reviewed forensic journals. In order to be successful in this position, the ideal candidate will: * Conduct individual and collaborative multidisciplinary research with intersection of forensic science, physics, mathematics, statistics, and computer science. * Develop, validate, and implement programming codes, statistical algorithms, and a database for the comparison of fracture fit?s images. * Supervise graduate and undergraduate students in research. * Assist the PIs writing reports to the funding agency. * Publish high quality peer-reviewed journal articles under the direction of the Principal Investigator (PI). Qualifications * Ph.D. in Physics, Computer Science, Statistics, or a related field with a focus on data imaging. Ph.D. must be earned before the start date of the post, or with verification that will be earned within 3 months of the appointment date. * A minimum of two (2) years of research experience. * Strong experimental background or experience in computer programming skills (e.g., Python, R) and machine learning algorithms * Strong organizational and managerial skills. * Ability to lead undergraduate and graduate students. * Ability to communicate effectively, both orally and in writing, as demonstrated by journal publications, technical reports, and presentations at professional and scientific meetings. How to apply: This position is funded for up to 18 months, with an anticipated start date of July 1st, 2021. To apply, please visit https://careers.wvu.edu and navigate to the position title listed above. For General Questions about the position: Please contact Prof. Aldo Romero About Research Corporation West Virginia University Research Corporation is proud to be an Equal Opportunity employer. West Virginia University Research Corporation values diversity among its employees and invites applications from all qualified applicants regardless of race, ethnicity, color, religion, gender identity, sexual orientation, age, nationality, genetics, disability, or Veteran status. ------------------------------------------------------------------------------------- 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 constantin.rothkopf at cogsci.tu-darmstadt.de Tue May 18 13:15:13 2021 From: constantin.rothkopf at cogsci.tu-darmstadt.de (Constantin Rothkopf) Date: Tue, 18 May 2021 19:15:13 +0200 Subject: Connectionists: =?utf-8?b?4oCeQnJpZGdpbmcgZ3JhbnTigJ0gZnJvbSB0?= =?utf-8?q?he_German_Society_for_Cognitive_Science_=28GK=29_for_BA-=2C_MA-?= =?utf-8?q?_and_PhD_students?= Message-ID: <553b87c9-f6f1-c479-5044-5e8143d16be7@cogsci.tu-darmstadt.de> The German Society for Cognitive Science (GK) would like to support students who find themselves in a difficult (emergency) situation caused by the Corona pandemic with a bridging grant. The grant consists a funding for maximum of three months ? 500 ? per month. The GK is able to offer up to eight grants. The grant is meant as financial support allowing to finish the respective degree (Bachelor or Master) or providing some financial relief during an important PhD thesis phase (e.g. finishing a paper). The selection will be done by the members of the steering committee of the German Society for Cognitive Science (GK). The committee will consider all emergency cases as long as they have been caused by the Corona pandemic within the context of the studies and/or doctoral programme and are sufficiently substantiated with proof. Target group: This funding is intended for students who are enrolled and/or registered in a German university. In particular, only the following persons are eligible for funding: (1) Bachelor or Master students within a Cognitive Science Programme who, ideally, will be able to graduate soon, and (2) PhD students registered in one of the subjects belonging to Cognitive Science (e.g. Philosophy, Psychology, Informatics, AI, Linguistics, Neurosciences) who are working on a cognitive science project. Persons who already received a bridging grant from the GK are not eligible to apply. Paradigmatic case: A student pursuing a Master degree has fallen behind with her master thesis because due to the Corona-pandemic she could not arrange the childcare and had to take care of the child herself. The funding could be used to pay for a privately organised childcare. Application and Proof: To submit: - a statement comprehensibly describing applicant?s emergency situation (cases with evidence are preferred) and indicating the use of the funding. - BA and MA students: - - Enrollment confirmation and Transcript of Record - - A letter from the faculty?s/program?s advisor confirming the regular continuation of studies, anticipated graduation (within the winter term 2021/2022) - PhD students: - - A short statement from the first supervisor roughly sketching the cognitive science related project and describing the project?s progress The application shall be emailed with the subject ?Application Bridging Grant? to the following email: Chair of the GK, Prof. Dr. Barbara Kaup, barbara.kaup at uni-tuebingen.de; Application deadline: 15.06.2021 From nicholas.cummins at ieee.org Tue May 18 14:58:08 2021 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Tue, 18 May 2021 19:58:08 +0100 Subject: Connectionists: UK Healthcare text analytics conference (HealTAC) 2021 - call for participation Message-ID: ************************************************ * * Healthcare Text Analytics Conference* * HealTAC 2021* * June 17-18, 2021 http://healtex.org/healtac-2021/ * ************************************************* The HealTAC 2021 organising committee is delighted to invite participation in this year's conference and pre-conference workshops. *HealTAC 2021 will bring the academic, clinical, industrial and patient communities together to discuss the current state of the art in processing healthcare free text and share experience, results and challenges. The programme (here ) will include keynote talks, research papers, discussion panels, an industry forum, software demos, a PhD forum and poster sessions. Given the ongoing situation with the COVID-19 pandemic, HealTAC 2021 will be an online event.* *Registration* for the main conference and pre-conference workshops is now open! Register here: http://healtex.org/healtac-2021/registration/ *Registration fees:* - Non-students: ?10 - Students: Free *Dates:* - Pre-conference workshops 16 June - Main conference 17 & 18 June *Keynotes:* - *Dr Aur?lie N?v?ol* (Universit? Paris-Saclay, CNRS, LIMSI), who will discuss ?Responsible bioNLP in the making: contributions from ethics, reproducibility and the state of NLP? - *Prof Maria Liakata* (Queen Mary University, the Alan Turing Institute), "Opportunities, challenges and progress in longitudinal natural language processing for mental health" -------------- next part -------------- An HTML attachment was scrubbed... URL: From marieke.van.erp at dh.huc.knaw.nl Tue May 18 15:27:29 2021 From: marieke.van.erp at dh.huc.knaw.nl (Marieke van Erp) Date: Tue, 18 May 2021 21:27:29 +0200 Subject: Connectionists: K-CAP 2021: First call for papers - deadline Message-ID: *apologies for cross-posting* K-CAP 2021 The Eleventh International Conference on Knowledge December 2 - 3, 2021 A virtual conference https://www.k-cap.org/2021/ *Call for Papers* The massive quantity and increasing availability of information on the Web have catalyzed research in a wide range of fields. Today's data-driven world, however, needs more than an abundance of information, and there is a broadening focus on information quality and accuracy. Given the increasing demand for higher quality, accurate information that can be effectively and unambiguously used, the study of precise and scalable knowledge capture is of crucial importance. Knowledge capture involves the extraction of useful knowledge from multiple, potentially heterogeneous sources, as well as its acquisition directly from human experts. The International Conference on Knowledge Capture, K-CAP, is a forum that brings together members of disparate research communities who are interested in efficiently and precisely capturing knowledge from a variety of heterogeneous sources, and in creating representations that can be useful for automated reasoning, analysis, and other forms of machine processing, as well as to support users in knowledge-intensive collaborative tasks. To discuss and advance the goals of scalable and precise knowledge capture, K-CAP 2021 aims to attract researchers from diverse areas of artificial intelligence, including knowledge representation and reasoning, knowledge acquisition, semantic web, intelligent user interfaces for knowledge acquisition and retrieval, query processing and question answering over heterogeneous knowledge bases, novel evaluation paradigms, problem-solving and reasoning, agents, information extraction from structured or unstructured data, machine learning and representation learning, information enrichment and visualization, as well as researchers interested in cyber-infrastructures to foster the publication, retrieval, reuse, and integration of data. *Topics of interest* - Knowledge acquisition - Knowledge authoring - Knowledge extraction - Knowledge management - Knowledge publication - Knowledge capture from multimodal data, e.g., text, audio, visual - Knowledge capture for the Semantic Web and the Web of Linked Data - Knowledge capture and enrichment in specific domains such as earth and life sciences - Collaborative and social approaches to knowledge management and acquisition - Crowdsourcing for knowledge capture and refinement - Handling bias in knowledge capture - Knowledge capture from social environments and contexts - Problem-solving knowledge and methods - Knowledge-based markup techniques - Modeling methodologies for ontologies and knowledge graphs - Narrative intelligence - Knowledge capture through storytelling - Provenance and trust issues in knowledge intensive systems - Services and applications that enable or utilize data capture techniques - Semantic search and query enrichment - Knowledge engineering and knowledge governance - Ontology design patterns - Similarity measurement and analogy-based reasoning - Extracting knowledge graphs from unstructured/semi-structured and multimedia data - Summarization techniques for knowledge graphs - Visualization of knowledge graphs and visual query interfaces - Services and API for knowledge graphs - Addressing scalability issues for distributed knowledge graphs - Automated construction, enrichment and cleaning of knowledge graphs and alignment to existing graphs - Hybrid approaches for knowledge capture combining knowledge engineering and machine learning - Data dynamicity, heterogeneity, and decay in knowledge intensive systems *Submissions* The eleventh International Conference on Knowledge Capture, K-CAP 2021, features a full papers track for research papers, as well as tracks for short papers, for visionary ideas, and for demos. Full papers, which describe original research, can be up to 8 pages long including references. Full papers will appear in the conference proceedings and will be citable as K-CAP 2021 publications. Short papers, which may describe (possibly preliminary or open-ended) research, applications (academic, industrial or otherwise), and late breaking results, can be up to 4 pages long, including references. Short papers will also appear in the conference proceedings and will be citable as K-CAP 2021 publications. Visionary papers, which describe outrageous ideas or potentially preliminary, but highly innovative research, can be up to 2 pages long, including references. Visionary papers will be presented as short talks in the conference program. Demo,which exemplify applications or illustrate work presented in other submissions, can be up to 4 pages long, including references. Demos will be presented as short talks in the conference program. Authors of all paper types will present their work in plenary sessions during the conference. Presentation timing for the different types of papers will be announced once the program is crafted. K-CAP is not a double-blind conference, hence authors should list their names and affiliations on the submission. Please use the ACM 2 column SIG Conference Proceedings template for your submission. Submissions in HTML format are welcome, so long as authors of HTML submissions also provide a conversion of their submission to a PDF file that adheres to the required ACM template for proceedings. Papers submitted to the main conference track should not have been published before in an archival venue, or currently be under review in an archival venue. Authors are welcome to submit papers that have been published as a preprint on arXiv, or in a non-archival venue like a workshop. All submissions to K-CAP should be made through EasyChair: https://easychair.org/conferences/?conf=kcap21 This year we will embrace the FAIR principles by collecting structured metadata of the datasets, software, ontologies and methods generated by K-CAP submissions. Authors will be encouraged to add these resources in the EasyChair submission form (together with a brief description). Accepted papers with resources will be highlighted in the main K-CAP conference page. *Important Dates* - Paper submission: September 15, 2021 - Author notification: October 13, 2021 - Camera ready version due: October 25, 2021 - Conference dates: December 2-3, 2021 All deadlines are midnight AoE (Anywhere on Earth). -- https://www.mariekevanerp.com / @merpeltje Digital Humanities Lab / dhlab.nl KNAW Humanities Cluster / huc.knaw.nl https://odeuropa.eu - Sensory mining and olfactory heritage https://cultural-ai.nl - A lab for culturally valued AI -------------- next part -------------- An HTML attachment was scrubbed... URL: From julian.togelius at gmail.com Tue May 18 17:06:09 2021 From: julian.togelius at gmail.com (Julian Togelius) Date: Tue, 18 May 2021 17:06:09 -0400 Subject: Connectionists: Job openings at Origen.AI + new research Message-ID: Origen.AI is a startup working on deep learning methods for the energy sector. In our most recent work, we show that we can model nonlinear differential equations with physics-informed deep networks using attention mechanisms: https://arxiv.org/abs/2105.07898 If you are interested in this type of research and want to contribute to pushing the limits of what deep learning-based modeling of physical processes, Origen.AI is currently looking for deep learning researchers: https://www.notion.so/origenai/OriGen-AI-Job-Board-f92859aaabe34944baf963de8ed08b7b More about the company here: https://www.origen.ai Julian -- Julian Togelius Associate Professor, New York University Department of Computer Science and Engineering Editor-in-Chief, IEEE Transactions on Games julian at togelius.com | http://julian.togelius.com From thomas_serre at brown.edu Tue May 18 15:14:31 2021 From: thomas_serre at brown.edu (Thomas Serre) Date: Tue, 18 May 2021 19:14:31 +0000 Subject: Connectionists: Postdoc position in deep learning and neuroscience | Brown U Message-ID: *Postdoc position in deep learning and neuroscience* Serre Lab, Brown University The Serre lab has an opening for a postdoctoral fellow (available immediately) to focus on the development of neuroscience-inspired deep-neural network algorithms towards the design of an intelligent spinal interface. In collaboration with other researchers at Brown, surgeons from Rhode Island Hospital and private partners, we are developing and testing a device aimed at bridging the gap in neural circuitry created by spinal cord injury, in the hope of restoring muscle control and sensation. The postdoc will be responsible for overseeing the development of an AI-based interface working with other members of the Serre lab and collaborators at Intel. The successful candidate will become involved in a number of projects, depending on their particular interests, and will also have the opportunity to develop independent projects. The fellow will be located in a new state-of-the-art facility within the Carney Institute for Brain Science and embedded within the Carney Center for Computational Brain Science. We also expect synergies with the Data Science Initiative co-located within the same building. Press release about the Intelligent Spine Interface project: https://www.brown.edu/news/2019-10-03/isi ( https://www.brown.edu/news/2019-10-03/isi ) More information about the Serre lab: https://serre-lab.clps.brown.edu ( https://serre-lab.clps.brown.edu/ ) More information about the Carney Institute for Brain Science: https://www.brown.edu/carney ( https://www.brown.edu/carney ) ** Requirements ** Candidates must have a strong background in computational neuroscience and/or machine learning, with a track record of relevant publications at top machine learning venues (e.g., NeurIPS, ICML, ICLR, etc.) and/or neuroscience journals. Excellent Python programming skills and Tensorflow and/or Pytorch experience are required. ** Application ** Please send your application to thomas_serre at brown.edu with the subject line "postdoc position." Please include: -- a brief statement of interests -- a curriculum vitae -- a list of publications -- an anticipated start date -- the name of 2-3 reference writers (no letter needed at this stage). There is no deadline for the application, but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found. ** About the Carney Institute for Brain Science and the Center for Computational Brain Science ** The Carney Institute for Brain Science at Brown University advances multidisciplinary research, technology development, and training in the brain sciences and works to establish Brown University as an internationally recognized leader in brain research. The institute was just endowed with a recent $100 million gift. Carney unites more than 100 faculty members from a diverse group of departments at Brown, spanning basic and clinical departments, and physical and biological sciences. Carney provides a mechanism to advance interdisciplinary research efforts among this broad group. The Center for Computational Brain Science (CCBS) is an energetic and enthusiastic effort that fosters synergistic collaborations across Brown departments. Groups affiliated with the center will work on two core levels of computation. The first level focuses on theoretical neuroscience, including computational perception, control over action and learning, and fundamental questions in neuronal networks (synaptic plasticity, circuits, networks, oscillations). The second level focuses on applications and neurotechnology, including brain-machine interfaces, advanced neural data analysis, computer vision, computational psychiatry, and robotics. CCBS includes nearly two dozen core computational faculty spanning six departments, and many more faculty who incorporate computation for theory development, analysis, or both. --T -------------------------------------------------------------------------------------------- Thomas Serre | Brown University | Carney Institute for Brain Science Associate Professor, Cognitive Linguistic & Psych. Sciences Director, Center for Computation & Visualization Associate Director, Center for Computational Brain Science ANR-3IA Artificial and Natural Intelligence Toulouse Institute T: +1 401-484-0750 | Hangout: tserre | Skype: thomas.serre | serre-lab.clps.brown.edu ( http://serre-lab.clps.brown.edu ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From aldo.lipani at acm.org Wed May 19 03:59:24 2021 From: aldo.lipani at acm.org (Aldo Lipani) Date: Wed, 19 May 2021 09:59:24 +0200 Subject: Connectionists: CIKM - 2nd Call for Resource Papers (Deadline, June 16) In-Reply-To: References: Message-ID: <9449e64d-b0c3-4ded-8cf2-76a4158dcced@Spark> Apologies for cross-postings. ============================================================ ?? ? ?CIKM 2021: The 30th ACM International Conference ?? ? ? ? ?on Information and Knowledge Management ?? ? ? ? ? ? ? ?1 - 5 November 2021, Online ?? ? ? ? ? ? ? ? ?(Queensland, Australia) ?? ? ? ? ? ? ? ? ?http://www.cikm2021.org ?? ? ?https://easychair.org/conferences/?conf=cikm2021 ============================================================ The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2021 will take place online in a lively and interactive manner. CIKM recognises the importance of publicly available scientific resources, such as datasets, evaluation benchmarks, tools or libraries as a necessary and important prerequisite for fostering research in core CIKM areas. The Resources Track seeks submissions from both academia and industry that describe resources available to the community.??Resources include, but are not restricted to, information retrieval test collections, labelled datasets for machine learning, and software tools and services.??Furthermore, we also seek papers describing original research on building datasets and resources for broad use as well as the lessons learnt in doing this. An ideal resource track paper will fit into one or more of the following categories: * Describing a new and innovative dataset or protocol * To support research on novel application domains; * To support novel evaluation tasks; * Created using novel methods and/or algorithms; * Labeled using novel and well-described annotation and/or crowdsourcing approaches; * Reusable research prototypes and services; * Open software frameworks, tools and libraries which support tasks and evaluation in data science, data engineering or information & knowledge management. Historically, CIKM has published research in all of these areas.??The goal of the Resource Track is to highlight artifacts of CIKM research and the process of making those artifacts available to the community.??It is expected that at the time of submission the described resource will be available under reasonably liberal terms and sufficiently well-documented such that reviewers may consult that documentation as they conduct their reviews.??(This of course means that reviews will be single-blind for this track.) AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) --------------- Key Dates --------------- Paper Submission Deadline: ?? ?June 16, 2021 (anywhere in the world) Acceptance Notification: ? ?August 9, 2021 (anywhere in the world) Final Version Submission: ? ?Aug 23, 2021 (anywhere in the world) ------------------ Topics of Interest ------------------ We encourage submissions of high-quality research papers on all topics in the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information ??credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation,??best practices) * Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) ----------------- Paper Submissions ----------------- Resource track papers should not exceed 9 pages plus unlimited references, using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Papers should include a description of the resource, an illustration of the use case(s) for the resource, explain its utility, reusability and novelty, and focus on anticipating and answering questions that CIKM reviewers and readers are likely to ask, as laid out in the review criteria below. It is expected that papers describing datasets clearly explain how the data was collected, all stages of processing from the source to the resulting dataset, and assumptions and risks presented by the collection and/or labeling strategy. The resource paper review process is single-blind, which means that reviewers are aware of the names and affiliations of paper authors. Therefore, unlike other paper tracks in CIKM 2021, there is no need to hide author information in the submission. Papers should be submitted through the CIKM online submission system, using the ?Resource Track?. Accepted resources track papers will be published within the official CIKM2021 proceedings as part of the ACM digital library. ----------------- Ethics ----------------- Resources are expected to be available as described, where ?available? means that most researchers in our community could obtain and make use of the resource without strongly limiting the research they can perform with it. Datasets are expected to be collected in accordance with institutional review board standards and ACM standards of ethics. Reviewers are instructed to not use their reviews as an advocacy platform for these issues, but to do what they can to help authors bring their resources to fruition. ----------------- Review Criteria ----------------- Novelty * What is new about this resource? * Does the resource represent an incremental advance or something more dramatic? Availability * Is the resource available to the reviewer at the time of review? * Are there discrepancies between what is described and what is available? * Are the licensing/terms of use sufficiently open as to allow most academic and industry researchers access to the resource? * If the resource is data collected from people, do appropriate human subjects control board procedures appear to have been followed? Utility * Is the resource well documented? What level of expertise do you expect is required to make use of the resource? * Are there tutorials or examples? Do they resemble actual uses or are they toy examples? * If the resource is data, are appropriate tools provided for loading that data? * If the resource is data, are the provenance (source, preprocessing, cleaning, aggregation) stages clearly documented? Predicted Impact * What CIKM research activity is enabled by the availability of this resource? * Does the resource advance a well-established research area or a brand new one? * Do you expect that this resource will be useful for a long time, or will it need to be curated or updated? If the latter, is that planned? * How large is the (anticipated) research user community? Will that grow or shrink in the next few years? ----------------- Dual Submission Policy ----------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences. Such submissions violate our dual submission policy. There are several exceptions to this rule: * Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published. * Submission is permitted for papers that have previously been made available as a technical report (or similar, e.g., in arXiv). In this case, the authors should not cite the report, so as to preserve anonymity. It is also NOT permitted to double submit the content to both resource track and other track(s) of CIKM 2021 (e.g. a resource paper for building Dataset A and a full paper containing the construction process of Dataset A in the experiment section). --------------------------------- ACM Policy Against Discrimination --------------------------------- All authors and participants must adhere to the ACM discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-manual/policy-against-discrimination-and-harassment ---------------------------- PC Chair Contact Information ---------------------------- For more information, contact the appropriate PC chairs: Resource Paper Track Email: cikm2021-resource at easychair.org Nicola Ferro, University of Padua, Italy Zhenhui Jessie Li, Pennsylvania State University, USA Dr. Aldo?Lipani?|?aldolipani.com Asst. Prof. in Machine Learning University College London (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Tue May 18 16:40:21 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Tue, 18 May 2021 22:40:21 +0200 Subject: Connectionists: Fwd: REMINDER --> FINAL Call for Papers -- Network Systems and Applications -- event within FedCSIS'21; IEEE #52320 -- SCOPUS publication -- Deadline 24.05.2021 In-Reply-To: References: Message-ID: -------- Forwarded Message -------- Subject: REMINDER --> FINAL Call for Papers -- Network Systems and Applications -- event within FedCSIS'21; IEEE #52320 -- SCOPUS publication -- Deadline 24.05.2021 Date: Tue, 18 May 2021 22:31:19 +0200 From: Marcin Paprzycki Reply-To: marcin.paprzycki at pw.edu.pl To: Marcin Paprzycki CALL FOR PAPERS Network Systems and Applications (NSA'21; https://fedcsis.org/2021/nsa) Organized within 2021 Federated Conference on Computer Science and Intelligence Systems (FedCSIS'21; IEEE #52320) ************************* COVID-19 Information ************************* While we have planned the 2021 conference to take place in Sofia, Bulgaria, slow progress in fighting the global pandemic has forced us to switch to the fully online mode. Therefore, we plan to organize FedCSIS 2022 in Sofia, and hope that by that time COVID will be over, and we will be able to meet in person. FedCSIS organizers ************************************************************************ FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE Modern network systems encompass a wide range of solutions and technologies, including wireless and wired networks, network systems, services, and applications. This results in numerous active research areas oriented towards various technical, scientific and social aspects of network systems and applications. The primary objective of Network Systems and Applications conference track is to group network-related technical sessions and promote synergy between different fields of network-related research. The rapid development of computer networks including wired and wireless networks observed today is very evolving, dynamic, and multidimensional. On the one hand, network technologies are used in virtually several areas that make human life easier and more comfortable. On the other hand, the rapid need for network deployment brings new challenges in network management and network design, which are reflected in hardware, software, services, and security-related problems. Every day, a new solution in the field of technology and applications of computer networks is released. The NSA track is devoted to emphasizing up-to-date topics in networking systems and technologies by covering problems and challenges related to the intensive multidimensional network developments. This track covers not only the technological side but also the societal and social impacts of network developments. The track is inclusive and spans a wide spectrum of networking-related topics. The NSA track is a great place to exchange ideas, conduct discussions, introduce new ideas and integrate scientists, practitioners, and scientific communities working in networking research themes. Topics The NSA track is seeking original, relevant, and high-quality research papers related, but not limited, to the following topics: ? Networks architecture ? Networks management ? Quality-of-Service enhancement ? Performance modeling and analysis ? Fault-tolerant challenges and solutions ? 5G developments and applications ? Traffic identification and classification ? Switching and routing technologies ? Protocols design and implementation ? Wireless sensor networks ? Future Internet architectures ? Networked operating systems ? Industrial networks deployment ? Software-defined networks ? Self-organizing and self-healing networks ? Mulimedia in Computer Networks ? Communication quality and reliability ? Emerging aspects of networking systems The track will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of networking technology. Track 3 includes technical sessions: ? Internet of Things - Enablers, Challenges and Applications (5th?Workshop https://www.fedcsis.org/2021/iot-ecaw) ? Cyber Security, Privacy and Trust (2nd?International Forum; https://www.fedcsis.org/2021/nemesis) FedCSIS'21 KEYNOTE SPEAKERS: * David Bader; New Jersey Institute of Technology Keynote title: Solving Global Grand Challenges with High Performance Data Analytics * Rajkumar Buyya; Cloud Computing and Distributed Systems (CLOUDS) Lab, The University of Melbourne, Australia; and CEO, Manjrasoft Pvt Ltd, Melbourne, Australia Keynote title: Neoteric Frontiers in Cloud and Edge Computing * Hristo Djidjev; Los Alamos National Laboratory Keynote title: Using quantum annealing for discrete optimization * Moshe Y. Vardi; Rice University Keynote title: Lessons from COVID-19: Efficiency vs Resilience ZDZIS?AW PAWLAK BEST PAPER AWARD The Professor Zdzis?aw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS are eligible to be considered as the award winners. This award will be awarded independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2021/zp_award PAPER PUBLICATION: ? Authors should submit draft papers (as Postscript, PDF or MSWord file). ? The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. ? Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. ? Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. ? Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. ? Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. ? Conference proceedings will be indexed in BazEkon and?submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec,?Index Copernicus,?DBLP Computer Science Bibliography and?Google Scholar ? Organizers reserve right to move accepted papers between FedCSIS technical sessions. IMPORTANT DATES: + Paper submission (strict deadline): May 24, 2021, 23:59:59 (UCT-12; there will be no extension) + Position paper submission: June 14, 2021 + Author notification: July 5, 2021 + Final paper submission and registration: July 26, 2021 + Conference date: September 2-5, 2021 Please forward this announcement to your colleagues and associates who could be interested in it. Track Chairs: ? Armando, Alessandro, University of Genova, Italy ? Awad, Ali Ismail, Lulea University of Technology, Sweden ? Furtak, Janusz, Military University of Technology, Poland ? Suri, Niranjan, Institute of Human and Machine Cognition, United States Contact: nsa-track at fedcsis.org Program Chairs: ? Awad, Ali Ismail, Lulea University of Technology, Sweden ? Furtak, Janusz, Military University of Technology ? Hodo?, Michal, University of ?ilina, Slovakia Contact: nsa-program at fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus . -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From fa.oliehoek at gmail.com Tue May 18 17:54:41 2021 From: fa.oliehoek at gmail.com (Frans Oliehoek) Date: Tue, 18 May 2021 23:54:41 +0200 Subject: Connectionists: Challenges and Opportunities in Multiagent RL: Virtual Seminar Series Message-ID: <95c3214e-9098-e957-e97a-a3bd60e44ee9@gmail.com> Dear all, After a successful series of talks earlier this year, we are excited to announce a second series of virtual seminars on the Challenges and Opportunities for Multiagent Reinforcement Learning (COMARL). The goal of the virtual seminar series is to present the latest research in multiagent reinforcement learning and game theory. Over the last few years, momentum and discussions have been rapidly building up in these interrelated fields, and we hope to support this by a virtual venue for peers to attend high-quality talks, and most importantly, interact with other researchers in multiagent RL. As such, we will be hosting fortnightly seminars on Thursdays (generally held around 4-5pm CEST time) that will be completely open for interested parties to attend, live streamed on YouTube and Google Meet, with plenty of opportunity for attendees to interact and engage with speakers! Recordings will also be made available on our website: https://sites.google.com/view/comarl-seminars/. We have a number of great speakers already lined up, including Matt Taylor, Roxana Radeluscu and Marc Lanctot. We kick off May 27th, 4PM CEST with Matt! For additional information, please see our: * Website (includes schedule, instructions on how to join, etc.) * Twitter account (for speaker announcements and more!): @ComarlSeminars * Google Group (to receive invitations): comarlseminars at googlegroups.com We look forward to seeing you there! Best regards from the organizers, Chris Amato (Northeastern University), Marta Garnelo (DeepMind), Frans Oliehoek (TU Delft), Shayegan Omidshafiei (DeepMind), Karl Tuyls (DeepMind) From sigurd.lokse at uit.no Wed May 19 03:35:39 2021 From: sigurd.lokse at uit.no (=?utf-8?B?U2lndXJkIEVpdmluZHNvbiBMw7hrc2U=?=) Date: Wed, 19 May 2021 07:35:39 +0000 Subject: Connectionists: =?utf-8?q?Call_for_Contributions=3A_5th_Northern_?= =?utf-8?q?Lights_Deep_Learning_Conference=2C_10-12_January_2022=2C_Troms?= =?utf-8?b?w7ggKCJOb3J0aCBQb2xlIiksIE5vcndheS4=?= Message-ID: Following tradition, we are organizing the 5th Northern Lights Deep Learning Conference (NLDL) on 10-12 January 2022 in Troms?, Norway. Like previous years, it will be a conference on all aspects of deep learning theory and applications. On the 10th of January, a mini deep learning school in form of tutorials will be held, followed by the main conference on the 11th and 12th. Please see http://www.nldl.org for more information. As always, we are happy to have top international speakers. This year, for instance, Serge Belongie from Cornell University and Copenhagen University, as well as Zeynep Akata from the University of T?bingen and Max Planck Institute for Informatics. We are accepting two alternatives for contributions: (1) Full paper submissions (6 pages) will be presented either as orals or as posters and will be published in the conference proceedings*; (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: October 15th, 2021. Instructions on template etc. can be found on http://www.nldl.org. We hope to see many participants for a nice scientific gathering on the "north pole", including social events, and hopefully some northern lights ? *The Proceedings of NLDL are approved as a level 1 publication in the Norwegian national list of authorized research publication channels. Kind regards, The NLDL 2022 organizing committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From amulya at psu.edu Wed May 19 04:17:39 2021 From: amulya at psu.edu (Amulya Yadav) Date: Wed, 19 May 2021 13:47:39 +0530 Subject: Connectionists: Deadline Extension: 3rd International Virtual KDD Workshop on Data Science for Social Good (DSSG 2021) Message-ID: Dear all, We are organizing a workshop on Data Science for Social Good at KDD 2021. Please consider submitting your work to this venue. CFP below! *-----------------------------------------------------------------------------------* *Apologies for cross-posting!* *3rd International Virtual KDD Workshop on Data Science for Social Good (DSSG 2021)* *Website*: https://amulyayadav.github.io/DSSG-21/ *Submission Link*: https://easychair.org/my/conference?conf=dssg21 *Important Dates:* Paper Submission Deadline: May 27th, 2021 Notification of Acceptance/Rejection: June 10th, 2021 Workshop Date: August 14st, 2021 *Scope* Machine Learning and Data Science have revolutionized and entered multiple aspects of our everyday lives, yet there is a digital divide that is broadening every single day. The BigData revolution has hit the Western world (i.e., North America and Europe) much more significantly, as compared to developing countries in Africa, Asia and South America. As a result, most of the technologies that have been developed using ML and data science solve first-world problems faced by common people in the Western world. While products like Siri and Alexa bring a lot of value to people in the Western world, they bring little value to people in Sub-Saharan Africa, who struggle on a daily basis with much graver challenges, e.g., poor sanitation, poverty, hunger, infectious diseases, etc. As a result, it is urgent to refocus the attention of the SIGKDD community towards problems faced by these underserved populations in developing countries. Accordingly, there is a growing interest to ensure that current and future data science research is used in a responsible manner for the benefit of humanity in the developing world and among marginalized communities (i.e., for social good). To achieve this goal, a wide range of perspectives and contributions are needed, spanning the full spectrum from fundamental research to sustained deployments in the real-world. Note that problems in these domains are characterized by small data, uncertainties, etc., hence new fundamental research needs to be conducted by researchers in the SIGKDD community to solve these problems. To that end, this workshop will explore how data science research can contribute to solving challenging problems faced by current-day marginalized communities around the world, especially among developing countries. For example, what role can data science research play in promoting health, sustainable development and infrastructure security? How can data science initiatives be used to achieve consensus among a set of negotiating self-interested entities (e.g., finding resolutions to trade talks between countries)? To address such questions, this workshop will bring together researchers and practitioners across different strands of data science research and a wide range of important real- world application domains. The objective is to share the current state of research and practice, explore directions for future work, and create opportunities for collaboration. In addition, the workshop will place a special emphasis on highlighting data science approaches for tackling the COVID-19 pandemic (see preliminary agenda below). The organizers believe that data science research has an important role to play in providing unique insights about the pandemic and developing targeted responses; we encourage submissions from both data science researchers as well as epidemiologists, health policy researchers, and other domain experts who are interested in engaging with the SIGKDD community. A unique feature of our workshop is that we aim to engage and invite non-profit organizations which already do significant work on the upliftment of marginalized communities such as homeless youth in North America, poor smallholder farmers in Sub-Saharan Africa, etc. We aim to create a dialogue between data science researchers (who possess the tools required to develop data-driven solutions which can benefit marginalized communities) & non-profit organizations which can inform researchers about what are the real problems that need urgent attention, and what real-world constraints do data-driven solutions need to respect in order to have real impact on the ground. Our workshop?s target audience consists of: (i) data science and machine learning researchers who have used (or are currently using) their ML research to solve important real- world problems for society?s benefit in a measurable manner; (ii) non-profit organizations who wish to explore how data-driven solutions could help them improve their day-to-day operations which enables them to amplify their real-world impact; (iii) interdisciplinary researchers combining data science research with various disciplines (e.g., social science, psychology and criminology); and (iv) engineers and scientists from organizations who aim for social good, and look to build real world systems using data science techniques. *Topics of Interest* We are interested in a broad range of research topics, both foundational and applied. Topics of interest include, but are not limited to: - Applications of Learning and Optimization in Societally Beneficial Domains - ML Approaches for COVID-19 and Epidemics - Real-world applications of game theory for security - Data Science for environmental crime - Data Science for Environmental Sustainability - Data Science for Urban Planning - Computational Sustainability - Data Science for Education - Data Science for Public Health - Data Science for International Relations - Data Science for Democracy in the Developing World - Explainable Artificial Intelligence and Machine Learning for Social Good *Submission Details* Submission Types - Technical Papers: Full-length research papers of up to 8 pages (excluding references and appendices) detailing high quality work in progress or work that could potentially be published at a major conference in KDD format. - Short Papers: Position or short papers of up to 4 pages (excluding references and appendices) in KDD format that describe initial work or the release of privacy-preserving benchmarks and datasets on the topics of interest. All papers must be submitted in PDF format, using the KDD-21 author kit . Submissions should include the name(s), affiliations, and email addresses of all authors, i.e., submissions are not double-blind. Submissions will be refereed on the basis of technical quality, novelty, significance, and clarity. Each submission will be thoroughly reviewed by at least two program committee members. Submissions of papers rejected from KDD 2021 technical program are welcomed. Regards, Amulya Yadav PNC Career Development Assistant Professor Penn State University http://amulyayadav.com (On behalf of the DSSG21 Organizing Committee) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ahmetoglu.alper at gmail.com Wed May 19 05:48:53 2021 From: ahmetoglu.alper at gmail.com (Alper Ahmetoglu) Date: Wed, 19 May 2021 12:48:53 +0300 Subject: Connectionists: Call for Papers: RSS 2021 Workshop on Declarative and Neurosymbolic Representations in Robot Learning and Control Message-ID: RSS 2021 Workshop on Declarative and Neurosymbolic Representations in Robot Learning and Control -------------------------------------------------- A Full-day Virtual Event July 12-16, 2021 (To be determined) https://dnr-rob.github.io/ Important dates - Paper Submission Deadline: June 20th, 2021 - Acceptance Notification: June 30th, 2021 - Workshop date: July 12th - 16th, 2021 (TBD) This is a joint workshop with two themes that share common interests and motivations. - Declarative knowledge in learning and control of robot behaviors: For the purposes of explainability, abstraction, efficiency, or robustness, declarative knowledge is being incorporated into the decision-making process. We aim to explore novel ways to leverage complementary features of the different forms of decision making in order to inform the future research of deliberative systems relying on declarative knowledge that can be learned from, and shared with, humans. - Neurosymbolic robotics for learning symbolic representations from sub-symbolic representations: Neurosymbolic AI has emerged to integrate successful ideas in deep learning and classical symbolic reasoning in a single framework. Such a framework will have the desirable perception abilities of deep networks for bottom-up computation whilst allowing the system to make symbolic reasoning for top-down computation. Invited Speakers: Masataro Asai, IBM Research Joyce Chai, U of Michigan Sonia Chernova, Georgia Tech Anthony Cohn, U of Leeds Katerina Fragkiadaki, CMU Nick Hawes, U of Oxford Leslie Kaelbling, MIT George Konidaris, Brown U Ben Kuipers, U of Michigan Lu?s C. Lamb, UFRGS Cynthia Matuszek, UMBC Sheila McIlraith, U of Toronto Submissions: We accept regular papers (up to 8 pages of unpublished work) and extended abstracts (up to 4 pages of novel work or from a recently published paper) in standard RSS format, excluding unlimited pages for references. The review process will be single-blind. 10 minutes will be allocated for each regular paper, and 2 minutes for each extended abstract. There will also be a poster presentation session through gather.town for discussions. Papers will be submitted through EasyChair (https://easychair.org/cfp/DNR-ROB-2021). Organizing Committee: Alper Ahmetoglu (contact person), Bogazici U (Turkey), ahmetoglu.alper at gmail.com Shiqi Zhang (contact person), SUNY Binghamton (US), zhangs at binghamton.edu Roderic Grupen, UMass Amherst, (US) Yuqian Jiang, UT Austin, (US) Matteo Leonetti, U of Leeds, (UK) Tiffany Liu, UMass Amherst, (US) Erhan Oztop, Ozyegin U / Osaka U (Turkey/Japan) Justus Piater, U of Innsbruck, (Austria) Benjamin Rosman, U of Witwatersrand, (South Africa) Tadahiro Taniguchi, Ritsumeikan U, (Japan) Emre Ugur, Bogazici U, (Turkey) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Wed May 19 05:47:06 2021 From: Francesco.Rea at iit.it (Francesco Rea) Date: Wed, 19 May 2021 09:47:06 +0000 Subject: Connectionists: [jobs] 4 PhD@IIT in Bioengineering and Robotics - Cognitive Robotics, Interaction and Rehabilitation Technologies Message-ID: <37ec51e037404ddabffc9a66874cafd4@iit.it> PhD course in Bioengineering and Robotics - Cognitive Robotics, Interaction and Rehabilitation Technologies In the spirit of the doctoral School on Bioengineering and Robotics the PhD Program for the curriculum "Cognitive Robotics, Interaction and Rehabilitation Technologies" provides interdisciplinary training at the interface between technology and life-sciences. The 4 fully funded fellowships are offered this year by the Istituto Italiano di Tecnologia (IIT) and Universit? degli studi di Genova (course code 8638) as part of this curriculum by the Robotics Brain and Cognitive Sciences Unit (RBCS) guided by Giulio Sandini and by the Unit COgNiTive Architecture for Collaborative Technologies (CONTACT) guided by Alessandra Sciutti: * ENABLING ROBOTS TO UNDERSTAND AND ADAPT TO HUMANS * ASSESSING AND TRAINING VISUO-HAPTIC EXPLORATION * PROACTIVE MEMORY IN COGNITIVE ARCHITECTURES FOR HUMAN ROBOT INTERACTION * ADAPTATION IN COGNITIVE ARCHITECTURES FOR HUMAN ROBOT INTERACTION * TRUST AND SHARED PERCEPTION IN COGNITIVE ROBOTICS http://phd.dibris.unige.it/biorob/media/PhD%20themes%2037o%20-%20Cognitive%20Robotics%20Interaction%20and%20RehabilitationTechno.pdf All IIT units involved in this curriculum are located in the "Erzelli" site of the Italian Institute of Technology and share research facilities including, beside two iCub humanoid robots, eye-tracking and motion capture facilities. All research themes are available at the Admission - Research Themes 2021 (http://phd.dibris.unige.it/biorob/index.php/how-to-apply) web page. Visit the program page (http://phd.dibris.unige.it/biorob/index.php) for more information. To apply: full information is available at the general web page of the 37th cycle Ph.D.call - 2021/2022 of the Universit? degli studi di Genova. Applicants can download the complete notice of competition (the Call for applications), with general condition on Phd Courses and the application, the list of PhD programs, containing the Course description. Please follow the steps listed: 1. Choose the programme, 2. Review the application, 3. Get in contact with the supervisors, 4. Apply, following the detailed instructions and using the online procedure . -------------- next part -------------- An HTML attachment was scrubbed... URL: From alberto.nogales at ceiec.es Wed May 19 06:49:21 2021 From: alberto.nogales at ceiec.es (Alberto Nogales Moyano) Date: Wed, 19 May 2021 12:49:21 +0200 Subject: Connectionists: Human survey to evaluate a deep learning audio restoration model Message-ID: Hello community, we have developed a deep learning model for audio restoration and need an evaluation with humans. Here is the Google form to contribute (it takes 20 minutes), please share it with your workmates, friends, and others. https://forms.gle/6cCDqX58b4ZwF1vW7 Thanks a lot. Kind regards. -- [image: Mailtrack] Remitente notificado con Mailtrack 19/05/21 12:48:48 -------------- next part -------------- An HTML attachment was scrubbed... URL: From perusquia at ieee.org Wed May 19 08:03:04 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Wed, 19 May 2021 13:03:04 +0100 Subject: Connectionists: ACII2021 - Last call for Doctoral Consortium Participation Message-ID: ACII2021 - Call for Doctoral Consortium Participation Affective Computing aims at the study and development of systems and devices that use emotion, in particular in human-computer and human-robot interaction. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. At the biennial gathering of the Association for the Advancement Of Affective Computing?s (AAAC) Affective Computing and Intelligent Interaction Conference (ACII 2021), the Doctoral Consortium (DC) will serve as a forum for PhD students to share ideas about their research, developments, and applications in the area of affective computing. The goal is to provide PhD students with an opportunity to present their work to a group of mentors and peers from an international community, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in affective computing. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of affective computing to apply for participation in the ACII 2021 DC. Who should apply? Students from any PhD granting institution whose research falls within the area of affective computing are encouraged to apply. Whereas we encourage applications from students at any stage of doctoral training, the DC will most benefit students who are in the process of forming or developing their doctoral research. These students will have passed their qualifiers or have completed the majority of their coursework, will be planning or developing their dissertation research proposal, and will not be very close to completing their dissertation research. Submissions guidelines PhD students in an area related to affective computing are invited to submit the following materials: 1. Extended Abstract (4 pages + 1 page for references): A description of the PhD research plan and progress. The submissions should not be anonymous. In particular, it should cover: - The key research questions and motivation of the research, - Background and related work that informs the research, - A statement of hypotheses or a description of the scope of the technical problem, - The methodology to achieve the objectives and the proposed solution(s), - A description of the work done so far and a tentative plan for future work, - A statement of research contributions to date (if any) and expected contributions of the PhD work to affective computing, - Reference list. 2. CV: A curriculum vitae of the student. 3. Authorship and Statement from Advisor: Students are expected to be the sole authors on their submission. The application needs to be accompanied by a note from their PhD advisor confirming student status and endorsement of the submission. The note should clearly indicate the student?s progress in the PhD program (e.g., qualifiers passed; pre-proposal stage, and so on). The advisor can simply email the note to the DC chairs (see below for contact information). Submission topics, instructions, and proceedings Paper topics should be related to the conference topics, which are given in the general call for papers (see http://acii-conf.org/2021/). The Proceedings of the Doctoral Consortium will be published as part of the main Conference Proceedings. Papers should be submitted through the conference submission system. Review process The Doctoral Consortium submissions will be evaluated on a number of factors including: (1) the quality of the submission, (2) the expected benefits of the DC towards the student?s PhD research, and (3) the student?s contribution to the diversity of topics, backgrounds, and institutions, in order of importance. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of affective computing and its impact on the field and beyond. Finally, we hope to achieve a diversity of research topics, disciplinary backgrounds, methodological approaches, and home institutions in the ACII 2021 Doctoral Consortium cohort. Attendance All authors of accepted submissions are expected to register, attend the virtual conference and present their work at the Doctoral Consortium. They will also have to identify a mentor (from a list provided by the chairs) and schedule a one-to-one online meeting with the mentor during the conference. Information about this process will be provided in due course. Important Dates - Submission deadline: May 25, 2021 - Acceptance notifications: June 30, 2021 - Camera-ready deadline: July 26, 2021 Doctoral Consortium Contacts For questions and comments, please contact the Doctoral Consortium co-chairs: Grace Ngai and Tanaya Guha. -------------- next part -------------- An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Wed May 19 08:56:48 2021 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Wed, 19 May 2021 14:56:48 +0200 Subject: Connectionists: =?utf-8?q?The_European_Neuroscience_Institute_G?= =?utf-8?q?=C3=B6ttingen_=28Germany=29_invites_applications_for_a_N?= =?utf-8?q?euroscience_data_analyst_=28f/m/d=29?= Message-ID: The European Neuroscience Institute is looking to fill the position of a data analyst (full time). We are looking for a data analyst with interest and experience in systems neuroscience. Research at the European Neuroscience Institute ranges from molecular biology to human psychophysics and involves a range of model organisms (from drosophila to non-human primates), as well as techniques and approaches (electrophysiology, two-photon imaging, fMRI, EEG, behavior). The data analyst is expected to work closely with all of the research groups at the European Neuroscience Institute, supporting research efforts, e.g. through modelling and statistical analyses of high-dimensional data, image processing, and programming/development of experiments including the opportunity to develop and publish, e.g. analytical tools that arise from this work. - The applicant should possess a university degree (minimum M. Sc. or equivalent) in a relevant field, e.g., statistics, biostatistics, informatics, or similar. Prior experience in the field of systems neuroscience is highly desired. - The applicant should have experience in a research setting utilizing quantitative methods and statistics. The applicant should also demonstrate strong analytical skills. Knowledge of novel and emerging analysis techniques is highly desirable. Future/forward thinking in the area of big data analytics/informatics and applying them to contribute to the research groups? scientific process is expected. - The applicant should be skilled in the analysis of multivariate datasets to reveal patterns and build models; conduct exploratory data analysis, and communicate with team lead/team members; identify improvements for existing data management and recommend requirements for new systems. - In addition, contribute to replicability by making suggestions for existing data management and recommend requirements for new systems and identify potential data integrity issues. We are committed to open data/open science and appreciate interest and expertise in this area. - Utilize programming languages such as Python, Matlab and/or C++. - A good command of English is mandatory. The University Medical Center G?ttingen is committed to professional equality. We therefore seek to increase the proportion of under-represented genders. Applicants with disabilities and equal qualifications will be given preferential treatment. We look forward to receiving your application by *15.06.2021*: University Medical Center G?ttingen European Neuroscience Institute G?ttingen Dr. Jan Clemens Group Leader Grisebachstr. 5 37077 G?ttingen Tel.: 0551/39-61351 E-Mail: j.clemens at eni-g.de Web: http://www.eni-g.de/ Please send your application only via e-mail as a PDF-file. Travel and application fees cannot be refunded or transferred. https://www.umg.eu/karriere/stellenangebote/stellenanzeigen-detail/?jobId=3921 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tom.Hanika at cs.uni-kassel.de Wed May 19 09:27:06 2021 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Wed, 19 May 2021 15:27:06 +0200 Subject: Connectionists: [ICFCA 2021] Call for Participation (Virtual Event): 16th International Conference on Formal Concept Analysis Message-ID: ================================================================================ ?16th International Conference on Formal Concept Analysis (ICFCA 2021) ?June 29 -- July 2, 2021, Strasbourg, France ?Web: Mail: icfca2021 at sciencesconf.org *** *REGISTRATION IS FREE BUT MANDATORY* *** ================================================================================ * Overview Formal Concept Analysis emerged in the 1980's from attempts to restructure lattice theory in order to promote better communication between lattice theorists and potential users of lattice theory. Since its early years, Formal Concept Analysis has developed into a research field in its own right with a thriving theoretical community and a rapidly expanding range of applications in information and knowledge processing including visualization, data analysis (mining) and knowledge management and discovery. The ICFCA conference series aims at bringing together researchers and practitioners working on theoretical or applied aspects of Formal Concept Analysis within major related areas such as Mathematics and Computer and Information Sciences and their diverse applications to fields like Software Engineering, Linguistics, Life and Social Sciences, etc. * ICFCA 2021 Scientific Program The program is available via https://icfca2021.sciencesconf.org/program and includes works on Theory and Practice of FCA. ** Invited Speakers - Ioana Manolescu (Inria Saclay and? Ecole Polytechnique, France) - Magdalena Ortiz (Vienna University, Austria) - Matthijs van Leeuwen (Leiden University, the Netherlands) - Stefan Wrobel (University of Bonn and Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany). The abstracts of the keynote talks can be found at https://icfca2021.sciencesconf.org/resource/page/id/7. ** Workshops and Tutorials There will be one workshop and two tutorials on Tuesday June 29th. Also, a special session for tool demonstration is scheduled on Thursday. People interested in presenting their tool should send an email to icfca2021 at sciencesconf.org . ** *Registration* This year ICFCA 2021 is organized as a virtual event. The participation is *free*, however, registration is mandatory. Please register via https://icfca2021.sciencesconf.org/resource/page/id/8. The conference links will only be sent to registered participants. Please do not hesitate to get in touch if you have any questions or require any further information. * Organization The conference will be hosted by Universit? de Strasbourg (virtually via Zoom) ** Conference Chairs Florence Le Ber, ICUBE, Universit? de Strasbourg, CNRS, ENGEES, France Agn?s Braud, ICUBE, Universit? de Strasbourg,? CNRS, France ** Program Chairs Aleksey Buzmakov, Higher School of Economics, Russia Tom Hanika, Universit?t Kassel, Germany ** Editorial Board Jaume Baixeries, Polytechnic University of Catalonia, Catalonia Karell Bertet, L3I, Universit? de La Rochelle, France Peggy Cellier, IRISA lab, Rennes, France Sebastien Ferr?, Universit? de Rennes 1, France Bernhard Ganter, Technische Universit?t Dresden, Germany Dmitry Ignatov, Higher School of Economics, Moscow, Russia Mehdi Kaytoue, INSA-Lyon, LIRIS, France Sergei Kuznetsov, Higher School of Economics, Moscow, Russia Leonard Kwuida, Bern University of Applied Sciences Rokia Missaoui, Universit? du Qu?bec en Outaouais (UQO), Canada Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, Higher School of Economics, Moscow, Russia Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenb?ttel, Germany Sebastian Rudolph, Technische Universit?t Dresden, Germany Christian Sacarea, Babes-Bolyai University of Cluj-Napoca, Romania Stefan E. Schmidt, Technische Universit?t Dresden, Germany Bar?? Sertkaya, Frankfurt University of Applied Sciences, Germany Gerd Stumme, Universit?t Kassel, Germany Petko Valtchev, Universit? du Qu?bec ? Montr?al, Canada Karl Erich Wolff, University of Applied Sciences, Darmstadt, Germany ** Program Committee Fran?ois Brucker, Centrale Marseille, France Victor Codocedo, Universidad T?cnica Federico Santa Mar?a, Chile Pablo Cordero, University of M?laga, Spain Diana Cristea, Babes-Bolyai University Cluj-Napoca, Romania Christophe Demko, L3I lab, Universit? de La Rochelle, France Jean Diatta, Universit? de la R?union, France Stephan Doerfel, MICROMATA GmbH, Germany Xavier Dolques, ICube, Universit? de Strasbourg, France Alain G?ly, Universit? Paul Verlaine, Metz, France Marianne Huchard, LIRMM, Universit? Montpellier, France Robert J?schke, IBI, Humboldt-Universit?t zu Berlin, Germany Jan Konecny, Palacky University, Olomouc, Czech Republic Michal Krupka, Palacky University, Olomouc, Czech Republic Marzena Kryszkiewicz, Warsaw University of Technology, Poland Wilfried Lex, Universit?t Clausthal, Germany Tatiana Makhalova, Universit? de Lorraine, France Jes?s Medina, Cadiz University, Spain Engelbert Mephu Nguifo, LIMOS, Universit? de Clermont Ferrand 2, France Lhouari Nourine, LIMOS, Universit? de Clermont Ferrand 2, France Jan Outrata, Palacky University of Olomouc, Czech Republic Jean-Marc Petit, LIRIS, INSA Lyon, France Pascal Poncelet, LIRMM, Universit? Montpellier, France Sandor Radeleczki, University of Miskolc, Hungary Henry Soldano, Universit? Paris 13, France Laszlo Szathmary, University of Debrecen, Hungary Andreja Tepav?evi?, University of Novi Sad, Serbia Martin Trnecka, Palacky University, Olomouc, Czech Republic Jean-Fran?ois Viaud, L3I lab, Universit? de La Rochelle, France From marcin at amu.edu.pl Wed May 19 16:52:30 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 19 May 2021 22:52:30 +0200 Subject: Connectionists: Reminder/Final CFP -- Advances in Information Systems and Technologies -- Event of FedCSIS'21; IEEE #52320 -- Deadline May 24, 2021 -- Scopus Indexed Publication In-Reply-To: <96438c5f-f03d-9190-9da0-258db26dad34@ibspan.waw.pl> References: <96438c5f-f03d-9190-9da0-258db26dad34@ibspan.waw.pl> Message-ID: <42010a69-a015-be23-a492-0e448f1e4d2b@amu.edu.pl> CALL FOR PAPERS Advances in Information Systems and Technologies (AIST'21; https://fedcsis.org/2021/aist) Organized within 2021 Federated Conference on Computer Science and Intelligence Systems (FedCSIS'21; IEEE #52320) ************************* COVID-19 Information ************************* While we have planned the 2021 conference to take place in Sofia, Bulgaria, slow progress in fighting the global pandemic has forced us to switch to the fully online mode. Therefore, we plan to organize FedCSIS 2022 in Sofia, and hope that by that time COVID will be over, and we will be able to meet in person. FedCSIS organizers ************************************************************************ FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE AIST is a FedCSIS conference track aiming at integrating and creating synergy between disciplines of information technology, information systems, and social sciences. The track addresses the issues relevant to information technology and necessary for practical, everyday needs of business, other organizations and society at large. This track takes a socio-technical view on information systems and, at the same time, relates to ethical, social and political issues raised by information systems. AIST provides a forum for academics and professionals to share the latest developments and advances in the knowledge and practice of these fields. It seeks new studies in many disciplines to foster a growing body of conceptual, theoretical, experimental, and applied research that could inform design, deployment and usage choices for information systems and technology within business and public organizations as well as households. We call for papers covering a broad spectrum?of topics which bring together?sciences of information systems, information technologies, and social sciences, i.e., economics, management, business, finance, and education. The track bridges the diversity of approaches that contributors bring to the conference. The main topics covered are: ? Advances in information systems and technologies for business; ? Advances in information systems and technologies for governments; ? Advances in information systems and technologies for education; ? Advances in information systems and technologies for healthcare; ? Advances in information systems and technologies for smart cities; and ? Advances in information systems and technologies for sustainable development. AIST invites papers covering the most recent innovations, current trends, professional experiences and new challenges in the several perspectives of information systems and technologies, i.e. design, implementation, stabilization, continuous improvement, and transformation. It seeks new works from researchers and practitioners in business intelligence, big data, data mining, machine learning, cloud computing, mobile applications, social networks, internet of thing, sustainable technologies and systems, blockchain, etc. Extended versions of high-marked papers presented at technical sessions of AIST 2015-2020 have been published with Springer in volumes of Lecture Notes in Business Information Processing: LNBIP 243, LNBIP 277, LNBIP 311, LNBIP 346, LNBIP 380, and LNBIP 413. Extended versions of selected papers presented during AIST 2021 will be published in Lecture Notes in Business Information Processing series (LNBIP, Springer). Track 4 includes technical sessions: ? Data Science in Health, Ecology and Commerce (3rd Special Session; https://fedcsis.org/2021/dsh) ? Information Systems Management (16th Conference; https://www.fedcsis.org/2021/ism) ? Knowledge Acquisition and Management (27th Conference; https://www.fedcsis.org/2021/kam) FedCSIS'21 KEYNOTE SPEAKERS: * David Bader; New Jersey Institute of Technology Keynote title: Solving Global Grand Challenges with High Performance Data Analytics * Rajkumar Buyya; Cloud Computing and Distributed Systems (CLOUDS) Lab, The University of Melbourne, Australia; and CEO, Manjrasoft Pvt Ltd, Melbourne, Australia Keynote title: Neoteric Frontiers in Cloud and Edge Computing * Hristo Djidjev; Los Alamos National Laboratory Keynote title: Using quantum annealing for discrete optimization * Moshe Y. Vardi; Rice University Keynote title: Lessons from COVID-19: Efficiency vs Resilience ZDZIS?AW PAWLAK BEST PAPER AWARD The Professor Zdzis?aw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS are eligible to be considered as the award winners. This award will be awarded independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2021/zp_award PAPER PUBLICATION: ? Authors should submit draft papers (as Postscript, PDF or MSWord file). ? The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. ? Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. ? Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. ? Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. ? Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. ? Conference proceedings will be indexed in BazEkon and?submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar ? Organizers reserve right to move accepted papers between FedCSIS technical sessions. ? Extended versions of selected papers presented during AIST'2021 will be published with Springer, in Lecture Notes in Business Information Processing series (LNBIP). ? ?The Best Paper? award will be granted to the outstanding quality paper presented at AIST?2021. IMPORTANT DATES: + Paper submission (strict deadline): May 24, 2021, 23:59:59 (UCT-12; there will be no extension) + Position paper submission: June 14, 2021 + Author notification: July 5, 2021 + Final paper submission and registration: July 26, 2021 + Conference date: September 2-5, 2021 Please forward this announcement to your colleagues and associates who could be interested in it. Track Chairs ? Ziemba, Ewa,?University of Economics in Katowice, Poland ? Chmielarz, Witold,?University of Warsaw, Poland ? Cano, Alberto, Virginia Commonwealth University, Richmond, United States Contact: aist-track at fedcsis.org Program Chairs ? Chmielarz, Witold,?University of Warsaw, Poland ? Raban, Daphne,?University of Haifa, Israel ? W?tr?bski, Jaros?aw,?University of Szczecin, Poland ? Ziemba, Ewa, University of? Economics in Katowice,?Poland Contact: aist-program at fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From crpalmec7 at alumnes.ub.edu Thu May 20 04:48:34 2021 From: crpalmec7 at alumnes.ub.edu (=?Windows-1252?Q?CRISTINA_PALMERO_CANTARI=D1O?=) Date: Thu, 20 May 2021 08:48:34 +0000 Subject: Connectionists: Call for Participation: ICCV'2021 Understanding Social Behavior in Dyadic and Small Group Interactions Challenge Message-ID: Dear colleagues, We cordially invite you to participate in our ICCV?2021 Understanding Social Behavior in Dyadic and Small Group Interactions Challenge - http://chalearnlap.cvc.uab.es/challenge/45/description/ Description: to advance and motivate the research on visual human behavior analysis in dyadic and small group interactions, this challenge will use a large scale, multimodal, and multiview (UDIVA) dataset recently collected by our group, which provides many related challenges. It will address two different problems, divided in two competition tracks: 1. Automatic self-reported personality recognition of single individuals (i.e., a target person) during a dyadic interaction, from two individual views. 2. Behavior forecasting: the focus of this track will be to estimate future (up to N frames) 2D facial landmarks, hand, and upper body pose of a target individual in a dyadic interaction. In both tasks, multiview and multimodal information (audio-visual, transcriptions, context and medatada) are expected to be exploited to solve the problem. Important Dates: * Dataset access request period open: 18th May, 2021 * Start of the Challenge (development phase): June 1st, 2021 * Start of test phase: September 1st, 2021 * End of the Challenge: September 17th, 2021 * Release of final results: September 30th, 2021 Top winning solutions will be invited to give a talk to present their work at the associated ICCV 2021 ChaLearn workshop (http://chalearnlap.cvc.uab.es/workshop/44/description/). In addition to this, challenge participants, as well as the research community in the field and from related disciplines (e.g. affective computing, social signal processing and human-computer interaction), are invited to submit a paper to be published in Proceedings of Machine Learning Research (PMLR). In line with these, we accept papers addressing the issues related to, but not limited to, these topics: * Challenge related papers, describing their methods and results; * Detection, understanding, modeling and synthesis of individual and interpersonal social signals and dynamics; * Verbal/nonverbal communication analysis in dyadic and small groups; * Contextual analysis in dyadic and small groups; * Datasets, annotation protocols, and bias discovering/mitigation in dyadic and small groups; * Interpretability/explainability in dyadic and small groups; Important Dates: * Paper submission deadline (PMLR): October 31st, 2021 * Author notification: November 30th, 2021 * Camera-ready: December 20th, 2021 ORGANIZATION and CONTACT* Sergio Escalera*, Computer Vision Center (CVC) and University of Barcelona, Spain > Cristina Palmero*, Computer Vision Center (CVC) and University of Barcelona, Spain > Wei-Wei Tu, 4Paradigm Inc., China Albert Clap?s, Computer Vision Center (CVC), Spain Julio C. S. Jacques Junior, Computer Vision Center (CVC/UAB), Spain Sponsors: This event is sponsored by ChaLearn, 4Paradigm Inc., and Facebook Reality Labs. University of Barcelona, Computer Vision Center at Autonomous University of Barcelona, and Human Pose Recovery and Behavior Analysis (HuPBA) group, are the co-sponsors of the Challenge. Prizes: Top winning solutions will be invited to give a talk to present their work at the associated ICCV 2021 ChaLearn workshop, will receive a winning certificate and will have free ICCV registration. Our sponsors are also offering the following prizes: * Track 1: Top-1 solution: 1000$ / Top-2 solution: 500$ / Top-3 solution: 300$ * Track 2: Top-1 solution: 1000$ / Top-2 solution: 500$ / Top-3 solution: 300$ Honorable mention: based on the significance of the result in a particular trait/s (track 1) or body part (track 2) and the level of novelty/originality of the solution, in addition to top-3 solutions, we may announce additional honorable mentions, which will also receive a winning certificate and a free ICCV registration. All the best, the challenge organizers Aquest missatge, i els fitxers adjunts que hi pugui haver, pot contenir informaci? confidencial o protegida legalment i s?adre?a exclusivament a la persona o entitat destinat?ria. Si no consteu com a destinatari final o no teniu l?enc?rrec de rebre?l, no esteu autoritzat a llegir-lo, retenir-lo, modificar-lo, distribuir-lo, copiar-lo ni a revelar-ne el contingut. Si l?heu rebut per error, informeu-ne el remitent i elimineu del sistema tant el missatge com els fitxers adjunts que hi pugui haver. Este mensaje, y los ficheros adjuntos que pueda incluir, puede contener informaci?n confidencial o legalmente protegida y est? exclusivamente dirigido a la persona o entidad destinataria. Si usted no consta como destinatario final ni es la persona encargada de recibirlo, no est? autorizado a leerlo, retenerlo, modificarlo, distribuirlo o copiarlo, ni a revelar su contenido. Si lo ha recibido por error, informe de ello al remitente y elimine del sistema tanto el mensaje como los ficheros adjuntos que pueda contener. This email message and any attachments it carries may contain confidential or legally protected material and are intended solely for the individual or organization to whom they are addressed. If you are not the intended recipient of this message or the person responsible for processing it, then you are not authorized to read, save, modify, send, copy or disclose any part of it. If you have received the message by mistake, please inform the sender of this and eliminate the message and any attachments it carries from your account. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at di.ku.dk Thu May 20 04:24:48 2021 From: mm at di.ku.dk (Maria Maistro) Date: Thu, 20 May 2021 08:24:48 +0000 Subject: Connectionists: Call for Participation - Malawi Data Science School Message-ID: <8D1776E9-9A99-444A-A921-8847B614E1B8@ku.dk> **** Call for Participation - Malawi Data Science School **** Important Dates ? * Registration Opens: May 10, 2021 * Scholarship Closes: July 15, 2021 * Scholarship Notifications: August 1, 2021 * Registration Closes: August 20, 2021 * Payment for accepted participants: September 1st * Python Week of Code: October 18-22 2021 * Data Science School: October 25-29 2021 Registration ?? The event registration is done separately and you may attend either or both weeks. * Week 1: Python Week of Code * Week 2: Data Science School Overview ? We invite students, scholars and professionals to participate in the First Malawi Data Science School 2021 sponsored by ACM SIGKDD and hosted at Mzuzu University, Malawi. The mission of the school is to provide a stimulating and safe environment, where a new community is created through new collaborations between participants and facilitators. The school aims at attracting and sustaining participants of diverse backgrounds in the field of data science and to support participants in their career. The target audience are (not in order of priority): a) students in Computer Science, ICT, and related fields, from the bachelor, , master and PhD and Ph.D. programmes from Malawi and the SADC region b) professionals working in the field of Data Science and c) researchers and lecturers who wish to learn Data Science. The school will offer lectures and labs on data science: the Python week will provide the students with the basic prerequisites on Python programming and the usage of libraries to process, visualize and analyse data; the data science week will focus on fundamentals of machine learning and neural networks. We invite lecturers from universities in Malawi and neighbouring countries. Program Week 1: Python Week of Code ? The first module in the event can be attended regardless of participation in Week 2. The event will introduce Python to anyone with a programming background, giving a special focus to Data Science. The Python Week of Code is co-hosted by Python Namibia and supported by Django Denmark. Program Week 2: Data Science School ? The activity is a 5-day event. Each day targets 2 lectures and 2 lab sessions. Participants will therefore both learn theoretical and practical lessons. Day 1: Introduction to data science, data, data manipulation and visualization Day 2+3: Statistical and Machine Learning for Data science Day 4: Big Data Analytics Day 5: Responsible Data Science and Applications Participation is rewarded with a certificate of participation. An option for academic credits for the Week 2 will be announced here. Location ? The 1-week bootcamp event is held at Mzuzu University?s facilities in Lilongwe, Malawi?s capital city. Both weeks of the event are hosted by Mzuzu University (MZUNI), the second national university in Malawi by enactment, with a student population of almost 10,000 and a faculty size of 500 academics, both projected to double by 2030. ICT and Mathematical Sciences are among the key areas of MZUNI?s academic agenda. Data Science and Health Informatics are among the latest programmes to be added to MZUNI?s offers. Organization * Reuben Moyo, Mzuzu University, Malawi * Stanley Ndebvu, Mzuzu University, Malawi * Michael Zimba, Mzuzu University, Malawi * Maria Maistro, University of Copenhagen, Denmark * Benjamin Balder Bach, FAIR Danmark, Denmark * Martin Dybdal, University of Copenhagen, Denmark Contact info at mwdata.science www.mwdata.science -------------- next part -------------- An HTML attachment was scrubbed... URL: From roland.w.fleming at psychol.uni-giessen.de Thu May 20 15:09:37 2021 From: roland.w.fleming at psychol.uni-giessen.de (Roland Fleming) Date: Thu, 20 May 2021 21:09:37 +0200 Subject: Connectionists: 23 positions available to study The Adaptive Mind Message-ID: <289911C8-6E76-49F0-BD5B-13A9FA14213F@psychol.uni-giessen.de> The Universities of Giessen, Marburg, and Darmstadt together with the University of Frankfurt and the Frankfurt Institute for Advanced Studies (FIAS) aim strategically to further strengthen research in the field of Mind, Brain, and Behavior by establishing a cluster project The Adaptive Mind. Supported by the Hessen State Ministry for Higher Education, Research and the Arts, applications for 11 Doctoral researcher positions (65%, 75% or 100%) and 12 PostDoc positions (100%) are invited. The positions are available immediately and are fixed maximally up to 31.03.2025. If the requirements are met, the position will be paid according to pay group 13. The place of employment will be Giessen, Marburg, Darmstadt or Frankfurt. In The Adaptive Mind, we combine rigorous behavioral and neurophysiological research methods and theories from experimental psychology, with the unique patient-oriented insights of psychiatry and clinical psychology and the power of quantitative analysis and computational modeling by artificial intelligence. Our goal is to observe empirically, describe quantitatively, and model computationally how the human mind continually adapts in an ever-changing and often unpredictable world. Further details about the cluster project, the Key Research Areas, the Principle Investigators and conditions of application can be found at www.theadaptivemind.de . For the doctoral researcher positions, we invite the application of highly qualified applicants with a Masters degree from life-, biomedical- and natural sciences including psychology, or computer science. The successful PostDoc applicants will have a doctorate in any of the following areas: experimental psychology, cognitive sciences, neuroscience, artificial intelligence, robotics, sensorimotor control, computational psychiatry, or other allied fields. Experience in motion tracking, virtual reality, machine learning or other computational approaches are beneficial. The successful applicants will join a thriving research community with strong regional, national and international connections as documented among others by numerous high-profile individual (e. g., 8 ERC grants) and group grants (e.g., the Collaborative Research Center (SFB/TRR 135) on Cardinal Mechanisms of Perception, the IRTG 1901 The Brain in Action, the Research Unit RU 2107 Neurobiology of Psychiatric Disorders, the Centre for Cognitive Science and the Hessian Center for Artificial Intelligence - hessian.AI, as well as other collaborative research endeavors). All participating institutions are committed to increasing the proportion of women in science, and female candidates are strongly encouraged to apply for the positions. All participating institutions are family-friendly institutions, applicants with children are warmly welcomed. Applicants with severe disabilities will be given preference over other candidates with equal suitability for the position. Application and interview costs cannot be refunded. For further information, please contact Dr. Filipp Schmidt (filipp.schmidt at psychol.uni-giessen.de ). Please send your application (incl. CV, Research statement, 2 Reference letters, Scans of degree certificates) mentioning reference number 293/06 as a single PDF file to Dr. Filipp Schmidt, Research Coordinator Mechanisms of Perception and Adaption (filipp.schmidt at psychol.uni-giessen.de ) before June 11, 2021. Application procedure: All applications are received centrally by the research coordinator of the priority research area "Perception and Adaptation", Dr. Filipp Schmidt at Justus-Liebig University Giessen. The application documents will be made available to the selection committee, consisting of the cluster PIs and of representatives of the partner universities, following the highest standards for data protection. Please specify in your application to which of the research fields specified below you are applying. Staff representatives of all partner universities will be invited to the job interviews. Employment is at the partner university the position is assigned to, following the salary scales applicable locally. Research areas: All research in our Cluster tries to combine Experimental Psychology and Movement Sciences, Artificial Intelligence and Computational Cognitive Science, as well as Clinical Psychology and Psychiatry. The focus for each position will be as follows:. At Justus-Liebig-Universit?t Giessen (JLU) Experimental Psychology and Movement Sciences (4 PostDoc and 4 Doctoral researcher positions 75%). At Philipps-Universit?t Marburg (UMR) Experimental Psychology (2 Doctoral researcher positions 75%), Computational Cognitive Science (1 PostDoc position), Clinical Psychology (1 PostDoc position), Psychiatry (2 PostDoc und 1 Doctoral researcher positions 75%). At Technische Universit?t Darmstadt (TUDa) Artificial Intelligence and Computational Cognitive Science (4 PostDoc and 2 Doctoral researcher positions 100%). At Goethe-Universit?t Frankfurt am Main (GU) Experimental Psychology (1 Doctoral researcher position 65%). At FIAS Computational Cognitive Science (1 Doctoral researcher position 65%). -------------- next part -------------- An HTML attachment was scrubbed... URL: From dthakur at cdt.org Thu May 20 19:02:47 2021 From: dthakur at cdt.org (Dhanaraj Thakur) Date: Thu, 20 May 2021 19:02:47 -0400 Subject: Connectionists: New CDT research report - "Do You See What I See? The Capabilities and Limitations of Automated Multimedia Content Analysis" Message-ID: <5bebbbaa-8d7c-175a-1c3e-d501d13b8d8b@cdt.org> Hi everyone, We published a new report today that explains how machine learning techniques are used to assess user-generated content online such as images, video, and audio media. It also explains what these automated tools can?and cannot?tell us about multimedia content. The report, /Do You See What I See? The Capabilities and Limitations of Automated Multimedia Content Analysis /, is accompanied by an infographic that summarizes five main limitations of using these automated tools at scale. We argue that researchers, civil society advocates, policy-makers and others should be aware of these limitations particularly when trying to address content moderation issues. We also have a twitter thread with a few highlights from the report. thanks, Dhanaraj -- *Dhanaraj Thakur* (he/him) | Research Director Center for Democracy & Technology |*cdt.org * *E:* dthakur at cdt.org | *P:*?+1 202 407 8849 | @thakurdhanaraj -------------- next part -------------- An HTML attachment was scrubbed... URL: From salvador.limalopez at gmail.com Fri May 21 03:17:45 2021 From: salvador.limalopez at gmail.com (Salvador Lima) Date: Fri, 21 May 2021 09:17:45 +0200 Subject: Connectionists: [CfP] NLP/NER applied to occupational health: professions/occupations in health related content (MEDDOPROF task updates) Message-ID: [apologies for cross-posting!] CALL FOR PARTICIPATION ENGLISH VERSION MEDDOPROF Shared Task (IberLEF - SEPLN 2021) Medical Documents Profession Recognition shared task https://temu.bsc.es/meddoprof/ MEDDOPROF Cup Awards by BSC-Plan TL [3,000?] We are organizing the first task specifically focusing on the automatic recognition and normalization (entity linking) of professions from medical documents. We foresee that MEDDOPROF will contribute in using NLP techniques to extract critical health information related to patient occupations, such as: - Exposure to toxic substances - Infectious pathogens - Allergies - Work accidents - Mental health issues The used guidelines, annotations & multi-lingual terminologies could potentially be adapted to process documents in other languages. IMPORTANT UPDATES: Firstly, the system submission date has been EXTENDED to June 9th. Secondly, we have updated the official training data to include nine complementary automatically labelled entity mentions (MEDDOPROF-CE - Complementary Entities) covering: (a) clinical entities (symptoms, diseases, procedures, drugs, living organisms) and (b) linguistic entities (negation trigger/scope and uncertainty trigger/scope). In addition to the practical relevance of the track, the workshop (talks and proceedings) we will also have awards sponsored by BSC/Plan TL As MEDDOPROF covers automatic normalization or linking to standard international multilingual terminologies (ESCO, SNOMED CT), it can also inspire the development of resources for other application scenarios (human resources, competitive intelligence, social services,..) MEDDOPROF sub-tracks: MEDDOPROF-NER: automatic detection of mentions of occupations (profession, employment status and activities). MEDDOPROF-CLASS: finding mentions of occupations and classifying them, whether they refer to the patients themselves, their family members or to healthcare professionals. MEDDOPROF-NORM: mapping detected occupation mentions to their corresponding concept identifiers from standard multilingual occupation terminologies (ESCO and SNOMED-CT). Key information: MEDDOPROF web: https://temu.bsc.es/meddoprof/ Data: https://doi.org/10.5281/zenodo.4694768 Annotation Guidelines: https://doi.org/10.5281/zenodo.4694675 Registration: https://temu.bsc.es/meddoprof/registration Schedule Test set release (start of evaluation period): June 1st, 2021 End of evaluation period (system submissions): June 9th, 2021 Working papers submission: June 21st, 2021 Notification of acceptance (peer-reviews): June 27th, 2021 Camera-ready system descriptions: July 4th, 2021 IberLEF @ SEPLN 2021: September 2021 Publications and IBERLEF/SEPLN2021 workshop Teams participating in MEDDOPROF will be invited to contribute a systems description paper for the IberLEF (SEPLN 2021) Working Notes proceedings, and a short presentation of their approach at the IberLEF 2021 workshop. Main Organizers - Martin Krallinger, Barcelona Supercomputing Center, Spain - Eul?lia Farr?, Barcelona Supercomputing Center, Spain - Salvador Lima, Barcelona Supercomputing Center, Spain - Vicent Briva-Iglesias, D-REAL, Dublin City University, Ireland - Antonio Miranda-Escalada, Barcelona Supercomputing Center, Spain Scientific Committee - Sophia Ananadiou, Department of Computer Science, University of Manchester, UK - Alec Chapman, Data Scientist, University of Utah - Dina Demner-Fushman, Tenure Track Investigator, Biomedical Informatics Branch, Lister Hill National Center for Biomedical Communications - Hercules Dalianis, Professor in Computer and Systems Science, Stockholm University, Sweden - Hongfang Liu, Professor of Biomedical Informatics, Mayo Clinic - Josep Maria Haro Abad, Institut de Recerca Sant Joan de D?u - Bradley Malin, Accenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, Vanderbilt - Goran Nenadic, Department of Computer Science, University of Manchester, UK - Aur?lie N?v?ol, LIMSI-CNRS, Universit? Paris-Sud, France - ?ystein Nytr?, Department of Computer and Information Science, Norges Teknisk-Naturvitenskapelige Universitet (NTNU) - Carlos Luis Parra Calder?n, Head of Technological Innovation at Virgen del Roc?o University Hospital, Institute of Biomedicine of Seville, Spain - Kirk E. Roberts, School of Biomedical Informatics, University of Texas Health Science Center - Francisco Javier Sanz Valero, Escuela Nacional de Medicina del Trabajo, Instituto de Salud Carlos III, Spain - Stefan Schulz, Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria - Ashish Tendulkar, Machine Learning Specialist at Google - Michelle Turner, Assistant Research Professor at Barcelona Institute for Global Health, Secretary-Treasurer International Society for Environmental Epidemiology (ISEE) - Ozlem Uzuner, George Mason University - Alfonso Valencia Herrera, Barcelona Supercomputing Center (BSC-CNS), Spain -------------- next part -------------- An HTML attachment was scrubbed... URL: From rbianchi at fei.edu.br Fri May 21 13:00:28 2021 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Fri, 21 May 2021 17:00:28 +0000 Subject: Connectionists: ENIAC 2021 - Call For Papers Message-ID: <3AAD814F-6FFF-4B8E-99BD-FA1B31A4C1C8@fei.edu.br> CALL FOR PAPERS The 18th National Meeting on Artificial and Computational Intelligence Online event, organized by C4AI Center for Artificial Intelligence, November 29 - December 03, 2021 >>> Deadline for paper submission: August 09, 2021 <<< ENIAC 2021 is the eighteenth of a series of successful meetings bringing together Artificial Intelligence and Computational Intelligence, supported by Brazilian Special Interest Groups on Artificial Intelligence and Computational Intelligence from Brazilian Computer Society. Due to the COVID-19 pandemic and the sanitary and economical related issues, the ENIAC 2021 will be held online as part of BRACIS 2021. Such event provides a forum for researchers, practitioners, educators, and students to present and discuss innovations, trends, experiences and developments in the fields of Artificial Intelligence and Computational Intelligence. In particular, it is the ideal event for undergraduate and postgraduate students to submit and present their first papers! ACTIVITIES AND THEMES Authors are encouraged to submit articles containing new ideas, discussions on existing work, practical studies, and experiments relevant to the field of Artificial and Computational Intelligence, which have not been previously published. The topics of interest include, but are not limited to: AI in Emerging Countries: Public Policies and the Future of Work Applications of Artificial Intelligence Artificial Life Artificial Neural Networks Automated Planning and Scheduling Automated Reasoning Computational Intelligence Computer Vision Data Mining Data Science Decision Making in Food Production Networks Decision Support Systems Deep Learning Distributed Artificial Intelligence and Multiagent Systems Evolutionary Computation and Metaheuristics Fundamentals of Artificial Intelligence Fuzzy Systems Graph-Oriented Machine Learning Hybrid Intelligent Systems Intelligent Human-Computer Interfaces Intelligent Information Systems Intelligent Robotic Intelligent Tutoring Systems Knowledge Acquisition Knowledge Base Construction Knowledge-Enhanced Machine Learning Knowledge Representation and Reasoning Logic Programming Machine Learning Machine Learning for Medical Diagnosis Model-Based Reasoning Natural Language Processing Natural Language Processing in Portuguese Ontologies Representation Learning Software Tools for Artificial Intelligence Text and Web Mining UNDERGRADUATE STUDENT SPECIAL TRACK AND BEST UNDERGRADUATE PAPER AWARD Following up on ENIAC 2020, we will have a special track for papers whose first author is an Undergraduate student. Such papers will undergo the same reviewing process as papers on the main track. However, the best papers in this track will be invited to make an oral presentation in a special session and will run for the Best Undergraduate Paper Award. PAPER FORMAT AND SUBMISSION Manuscripts are limited to twelve (12) pages including text, references, appendices, tables, and figures. Articles may be written either in Portuguese or English, using the SBC article style: SBC Template Papers written in Portuguese must have titles and abstracts in English. Manuscripts that do not follow the formatting guidelines might be rejected without review. Submissions should be carried out online using the JEMS system: https://jems.sbc.org.br/jems2/ Please select the appropriate track (Undergraduate track for papers whose main author is an Undergraduate student, Main track for the others). The review process will be double-blind (authors' names and institutions must be omitted in the papers). All submitted papers will be reviewed by at least two experts in the field. Authors of accepted papers will be invited to present their work either in an oral presentation or in a poster session. All accepted papers will likely be published electronically through the SBC Open Lib - SOL. There will be no distinction between papers presented in oral or poster format in the proceedings. BEST PAPER AWARD AND SPECIAL ISSUE Authors of selected papers will be invited to present their work in a special session and will run for a Best Paper Award. IMPORTANT DATES Paper submission: August 09, 2021 Notification to authors: September 27, 2021 Camera-ready copy due: October 04, 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From felipe at cos.ufrj.br Fri May 21 10:26:22 2021 From: felipe at cos.ufrj.br (=?UTF-8?Q?Felipe_Maia_Galv=C3=A3o_Fran=C3=A7a?=) Date: Fri, 21 May 2021 11:26:22 -0300 Subject: Connectionists: The 18th Annual IFIP International Conference on Network and Parallel Computing (NPC 2021) Message-ID: ********************************************************* ********************************************************* The 18th Annual IFIP International Conference on Network and Parallel Computing (NPC 2021) November 3-5, 2021 Paris, France https://npc2021.dnac.org/ In cooperation with IFIP WG 10.3, Concurrent Systems Co-sponsorships: - IEEE Technical Committee on Parallel Processing (TCPP) - IEEE Technical Committee on Cloud Computing (TCCLD) - IEEE Special Technical Community on Multicore - IEEE Special Technical Community on Parallel Models and Systems: DataFlow and Beyond ********************************************************* ********************************************************* High-Performance Computing and Big Data are two main areas where NPC 2021 will provide a dynamic forum to explore, discuss and debate state-of-the-art technology issues and challenges. High-performance computers and big-data systems are tied inextricably to the broader computing ecosystem and its designs and market adoption. We strongly believe that the stakes are high and are far beyond the boundaries of nations and continents. We invite all researchers around the world to submit papers to NPC 2021. We share the view that, during the past decade, the tools and cultures of high-performance computing and big data analytics are diverging to the detriment of both, and the international community should find a unified path that can best serve the needs of a broad spectrum of major application areas. Unlike other tools, which are limited to particular scientific domains, computational modeling and data analytics are applicable to all areas of science and engineering, as they breathe life into the underlying mathematics of scientific models. Topics of interest include, but are not limited to: ********************************************************* * Parallel and distributed applications and algorithms - Parallel and distributed issues and opportunities on artificial intelligence applications. - Parallel algorithms for computational and data-enabled scientific, engineering, biological, and medical applications. - Parallel algorithms for accelerators, neuromorphic architectures, and other emerging architectures. * Parallel and distributed architectures and systems - Domain-Specific Accelerators for AI, deep learning, and applications in industry sectors (such as health: genomics, finance: blockchain, and others) - Non-traditional Computing Technology (Quantum/Optical/Superconducting computers) - Emerging architectures and systems at all scales, from embedded to cloud. - Systems for enabling parallelism at an extreme scale. - Power-efficient and green computing systems. - Neuromorphic architectures and cognitive computing accelerators. - Heterogeneous multicore architectures and accelerators. - In-Memory and near-data computing. - Network and interconnect architectures. - Storage systems in novel big data architectures. - IoT and Edge Computing-related topics. * Parallel and distributed software environments and tools - Programming models and compilation for existing and emerging platforms. - Dataflow programming models, frameworks, languages, and environments for data-enabled platforms. - Virtualization of machines, networks, and storage. - I/O, file systems, and data management. - Resource management, scheduling, and load balancing. ********************************************************* Authors should submit the full version of the paper by July 11, 2021, AOE. The full version should be a PDF file following the submission guidelines that will be made available on the submission website. Papers should be submitted for blind review. New-idea papers, as well as papers that significantly advance established areas, are strongly encouraged. Submission issues should be directed to program chairs, Jean-Luc Gaudiot, Guangming Tan, and St?phane Zuckerman. We will publish top papers from NPC 2021 in a special issue of the International Journal of Parallel Programming (IJPP), and the proceedings will be published as part of Springer LNCS. ********************************************************* * Important Dates: * - Paper Submissions Due: July 11, 2021, AOE * - Results Notification: August 20, 2021 * - Camera-ready Version: August 27, 2021 * ********************************************************* * Manuscript submission Papers reporting original and unpublished research results and experience are solicited. All paper submissions will be handled electronically via EasyChair: https://easychair.org/conferences/?conf=npc2021 Papers must not exceed 12 pages in LNCS format. Authors must register and submit their papers through the online submission system. For more information, please visit the NPC 2021 conference website to be announced soon. Workshops & Tutorials will also be announced later GENERAL CO-CHAIRS Christophe C?rin, Universit? Sorbonne Paris Nord, France Depei Qian, Beihang University, PRC PROGRAM CO-CHAIRS Jean-Luc Gaudiot, University of California, Irvine, USA St?phane Zuckerman, Universit? de Cergy-Pontoise, France Guangming Tan, ICT, PRC Local Arrangements Co-Chairs Khaled Boussetta, Universit? Paris 13, France Aziza Lounis, DNAC, France Publicity Co-Chairs Khaled Boussetta, Universit? Paris 13, France Chen Liu, Clarkson, US En Shao, ICT, PRC Publication Chair ?ric Renault, ESIEE Paris, France Web Chair Elia Kallas, DNAC, France Advisory Committee Hai Jin, HUST, China (Chair) Wenguang Chen, Tsinghua University, China Yunquan Zhang, ICT, CAS, China Weisong Shi, Wayne State University, USA Shengzhong Feng, SZSC, China Victor Prasanna, USC, USA STEERING COMMITTEE Kemal Ebcioglu, Global Supercomputing, USA (Chair) Hai Jin, HUST, China (Vice Chair) Chen Ding, University of Rochester, USA Jack Dongarra, University of Tennessee, USA Guangrong Gao, University of Delaware, USA Jean-Luc Gaudiot, UCI, USA Tony Hey, Science and Technology Facilities Council, UK Guojie Li, ICT, China Yoichi Muraoka, Waseda University, Japan Viktor Prasanna, USC, USA Daniel Reed, University of Utah, USA Weisong Shi, Wayne State University, USA Ninghui Sun, ICT, China Zhiwei Xu, ICT, China PROGRAM COMMITTEE St?phane Zuckerman, CY Cergy Paris Universit?, France Christophe C?rin, University Sorbonne Paris Nord, France Anna Kobusinska, Poznan University of Technology, Poland Dezun Dong, School of Computer Science, National University of Defense Technology, China Avi Mendelson, Technion, Israel En Shao, Institute of Computing Technology, Chinese Academy of Science, China Bo Yu, PerceptIn, China Jean-Luc Gaudiot, University California Irvine, USA Quan Chen, Shanghai Jiao Tong University, China ?ric Renault, ESIEE Marne-la-Vall?e, France Philippe Clauss, INRIA, ICube, University of Strasbourg, France Bruno Raffin, INRIA & universit? of Grenoble, France Theo Ungerer, University of Augsburg, Germany Weile Jia, Institute of Computing Technology, Chinese Academy of Science, China Keqiu Li, Dalian University of Technology, China William Jalby, Universit? Versailles Saint-Quentin, France Weifeng Liu, China University of Petroleum, Beijing, China Hai Jin, Huazhong University of Science and Technology, China Won Woo Ro, Yonsei University, Korea Claude Tadonki, Mines ParisTech - CRI, France Jean-Thomas Acquaviva, DDN, France Roberto Giorgi, University of Siena, Italy Gabriel Paillard, Federal University of Cear?, Brazil William Chu, Department of Computer Science and Information Engineering, TungHai University, Taiwan Shaoshan Liu, PerceptIn, China Piyush Sao, Georgia Institute of Technology, USA Heithem Abbes, Facult? des Sciences de Tunis, Tunisia Mostapha Zbakh, ENSIAS, Mohammed V University, Rabat, Marocco Keiji Kimura, Waseda University, Japan R Govindarajan, Indian Institute of Science, India Albert Cohen, INRIA, France Sven Groppe, University of Lubeck, Germany Felix Freitag, Universitat Polit?cnica de Catalunya, Spain Marc Perache, CEA DAM, France Arnaud Lallouet, Huawei Technologies Ltd, France Cezary Mazurek, Poznan Supercomputing and Networking Center, Poland Arthur Stoutchinin, ST Microelectronics, France Pierre Manneback, University of Mons, Belgium Patrice Darmon, Umanis R&D, France Yiannis Papadopoulos, AMD Alba Cristina M. A. Melo, University of Brasilia, Brazil Roberto Hsu, Asia University, Taiwan -- ??????????????????????????????? Felipe M. G. Fran?a, PhD Invited Professor of Computer Science and Engineering Systems Engineering and Computer Science Program, COPPE Universidade Federal do Rio de Janeiro Centro de Tecnologia, Av Horacio Macedo 2030, Sala H-319, 21941-914, Rio de Janeiro, RJ, Brazil felipe at cos.ufrj.br felipe at coppe.ufrj.br felipe at ieee.org ??????????????????????????????? -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandra.sciutti at gmail.com Fri May 21 08:49:25 2021 From: alessandra.sciutti at gmail.com (Alessandra) Date: Fri, 21 May 2021 14:49:25 +0200 Subject: Connectionists: [meetings] CFP Journal Track submissions to the IEEE International Conference on Development and Learning ICDL 2021 (11th edition of the ICDL-EPIROB Conference). Message-ID: <002d01d74e3f$bb564ba0$3202e2e0$@gmail.com> Dear colleagues, There are still few days to submit a Journal Track Submission to ICDL 2021 The extended deadline is May 28th, 2021. We highly recommend a submission to the ICDL Journal Track to discuss important results related to cognitive and developmental systems recently published as journal articles (i.e. during 2020 or 2021), but not previously presented as conference papers. All submissions must include in a single PDF the details of the original journal paper and a cover letter to explain why the authors believe that the paper is central for ICDL. The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/#journal IEEE International Conference on Development and Learning (ICDL) 2021 (11th ICDL-EPIROB) Conference dates: August 23rd-26th, 2021 Web page: https://icdl-2021.org/ An IEEE Computational Society-sponsored conference Location: Beijing, China (Due to the influence of COVID-19, IEEE ICDL 2021 will be held in hybrid format) The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental science. We invite submissions for the conference in 2021 to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ---------------------------------------- Alessandra Sciutti (PhD) Researcher Tenure Track - P.I. CONTACT Unit Istituto Italiano di Tecnologia - Via Enrico Melen 83, Building B 16152 Genova, Italy email: alessandra.sciutti at iit.it website: https://www.iit.it/people/alessandra-sciutti ERC website: https://www.whisperproject.eu/ An intro on my research (Video, Eng): https://youtu.be/LCkOjR_cvxI TEDx talk (Italian): https://www.youtube.com/watch?reload=9&v=e0eMayWU_lc Our book on Modeling Human Motion: https://www.springer.com/gp/book/9783030467319 twitter: @alefreedot -------------- next part -------------- An HTML attachment was scrubbed... URL: From rbianchi at fei.edu.br Fri May 21 13:00:03 2021 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Fri, 21 May 2021 17:00:03 +0000 Subject: Connectionists: BRACIS 2021 - Call For Papers Message-ID: <4B6445AF-B04C-411C-84C8-C059888CACB3@fei.edu.br> Call For Papers 10th Brazilian Conference on Intelligent Systems (BRACIS) http://c4ai.inova.usp.br/bracis/ Online Event November 29 - December 03, 2021 >>>> Deadline for paper submissions: June 20, 2021 (extended) <<<< >>>> CALL FOR PAPERS <<<< The Program Committee of the 10th Brazilian Conference on Intelligent System (BRACIS) invites submissions of original research papers for the conference from November 29th to December 3th, 2021. Due to the COVID pandemic and the sanitary and economical related issues, the conference will be held online. BRACIS 2021 will be organized by C4AI Center for Artificial Intelligence (https://c4ai.inova.usp.br/). BRACIS is the most important event in Brazil for researchers in the fields of Artificial and Computational Intelligence. The Brazilian Conference on Intelligent Systems (BRACIS) originated from the combination of the two most traditional scientific events in Brazil in Artificial Intelligence (AI) and Computational Intelligence (CI): the Brazilian Symposium on Artificial Intelligence - SBIA (21 editions ), and the Brazilian Symposium on Neural Networks - SBRN (12 editions). The conference aims to promote theory and applications of Artificial and Computational Intelligence. BRACIS also aims for the promotion of international level research by exchanging scientific ideas among researchers, practitioners, scientists, and engineers. IMPORTANT DATES - Paper submission - June 20, 2021 (extended) - Notification to authors - July 30, 2021 - Camera-ready copy due - August 19, 2021 SPECIAL ISSUES Authors of selected papers will be invited to submit extended versions of their work to be appreciated for publication in special issues after the conference. SUBMISSION DETAILS *** Please, note that BRACIS submission is double-blind *** This means that both the reviewer and author identities are concealed from the reviewers, and vice versa, throughout the review process. To facilitate this, authors need to ensure that their manuscripts are prepared in a way that does not reveal their identity. Submissions should include significant and unpublished research on all aspects of Artificial Intelligence (AI) or Computational Intelligence (CI). Submission format Submitted papers must be written in English, and not exceed 15 pages, including all tables, figures, references, and appendices. Formatting instructions, as well as templates for Word and LaTeX, are available at Conference Proceedings guidelines. Springer?s proceedings LaTeX templates are also available in Overleaf . All submitted papers will be reviewed by at least three experts in the field. Accepted papers will be included in the BRACIS proceedings, and submitted for publication in Springer in Lecture Notes in Computer Science (LNCS) / Lecture Notes in Artificial Intelligence (LNAI) series. Only PDF files can be uploaded in the submission system. [https://lh5.googleusercontent.com/IhrJhR4_lPr0gjUtatcXK5qAr38MvNaZVAPBX9bFxQ_ryOpVXA0nfco3OUXxfqiyhcJ9WoDAu0ndCdoe44PWAT8mx0WFFwakst8QJWKD_aBPiPSScUfXLLFyHdcQYkDwieyPyjbo] SUBMISSION SYSTEM JEMS - Journal and Event Management System (Coming soon) https://jems.sbc.org.br/jems2/ TOPICS OF INTEREST Topics of interest include (but are not restricted to): * Agent-based and Multi-Agent Systems * AI in Emerging Countries: Public Policies and the Future of Work * Bioinformatics and Biomedical Engineering * Cognitive Modeling and Human Interaction * Combinatorial and Numerical Optimization * Computer Vision * Constraints and Search * Decision Making in Food Production Networks * Deep Learning * Distributed AI * Education * Evolutionary Computation and Metaheuristics * Forecasting * Foundations of AI * Fuzzy Systems * Game Playing and Intelligent Interactive Entertainment * Graph-Oriented Machine Learning * Hybrid Systems * Information Retrieval, Integration, and Extraction * Intelligent Robotics * Knowledge-Enhanced Machine Learning * Knowledge Representation and Reasoning (including Commonsense Reasoning, Model-Based Reasoning, Probabilistic Reasoning, Approximate Reasoning) * Knowledge Representation and Reasoning in Ontologies and the Semantic Web * Logic-based Knowledge Representation and Reasoning * Machine Learning and Data Mining * Machine Learning for Medical Diagnosis * Meta-learning * Molecular and Quantum Computing * Multidisciplinary AI and CI * Natural Language Processing * Natural Language Processing in Portuguese * Neural Networks * Pattern Recognition and Cluster Analysis * Planning and Scheduling * Reinforcement Learning GENERAL CHAIR Reinaldo A. C. Bianchi, Centro Universit?rio FEI and C4AI Zhao Liang, Universidade de S?o Paulo (USP) and C4AI PROGRAM CHAIRS: Andr? Britto, Universidade Federal de Sergipe (UFS) (andre at dcomp.ufs.br) Karina Valdivia Delgado, Universidade de S?o Paulo (USP) (kvd at usp.br) -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sat May 22 12:21:48 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sat, 22 May 2021 18:21:48 +0200 Subject: Connectionists: Final Call for Papers -- Software, System and Service Engineering -- event of FedCSIS 2021; IEEE #52320 -- deadline 24.05.2021 -- Scopus Indexed Proceedings In-Reply-To: References: Message-ID: <3bbf4416-cdd3-5171-9ecb-59a444779690@amu.edu.pl> CALL FOR PAPERS Track 5: Software, System and Service Engineering (S3E'21; https://fedcsis.org/2021/s3se) Organized within 2021 Federated Conference on Computer Science and Intelligence Systems (FedCSIS'21; IEEE #52320) ************************* COVID-19 Information ************************* While we have planned the 2021 conference to take place in Sofia, Bulgaria, slow progress in fighting the global pandemic has forced us to switch to the fully online mode. Therefore, we plan to organize FedCSIS 2022 in Sofia, and hope that by that time COVID will be over, and we will be able to meet in person. FedCSIS organizers ************************************************************************ FOR PAPER SUBMISSION DEADLINES SEE THE BOTTOM OF THIS MESSAGE The S3E track emphasizes the issues relevant to developing and maintaining software systems that behave reliably, efficiently and effectively. This track investigates both established traditional approaches and modern emerging approaches to large software production and evolution. For decades, it is still an open question in software industry, how to provide fast and effective software process and software services, and how to come to the software systems, embedded systems, autonomous systems, or cyber-physical systems that will address the open issue of supporting information management process in many, particularly complex organization systems. Even more, it is a hot issue how to provide a synergy between systems in common and software services as mandatory component of each modern organization, particularly in terms of IoT, Big Data, and Industry 4.0 paradigms. In recent years, we are the witnesses of great movements in the area of software, system and service engineering (S3E). Such movements are both of technological and methodological nature. By this, today we have a huge selection of various technologies, tools, and methods in S3E as a discipline that helps in a support of the whole information life cycle in organization systems. Despite that, one of the hot issues in practice is still how to effectively develop and maintain complex systems from various aspects, particularly when software components are crucial for addressing declared system goals, and their successful operation. It seems that nowadays we have great theoretical potentials for application of new and more effective approaches in S3E. However, it is more likely that real deployment of such approaches in industry practice is far behind their theoretical potentials. The main goal of Track 5 is to address open questions and real potentials for various applications of modern approaches and technologies in S3E so as to develop and implement effective software services in a support of information management and system engineering. We intend to address interdisciplinary character of a set of theories, methodologies, processes, architectures, and technologies in disciplines such as: Software Engineering Methods, Techniques, and Technologies, Cyber-Physical Systems, Lean and Agile Software Development, Design of Multimedia and Interaction Systems, Model Driven Approaches in System Development, Development of Effective Software Services and Intelligent Systems, as well as applications in various problem domains. We invite researchers from all over the world who will present their contributions, interdisciplinary approaches or case studies related to modern approaches in S3E. We express an interest in gathering scientists and practitioners interested in applying these disciplines in industry sector, as well as public and government sectors, such as healthcare, education, or security services. Experts from all sectors are welcomed. Topics: Submissions to S3E are expected from, but not limited to the following topics: ? Advanced methodology approaches in S3E ? new research and development issues ? Advanced S3E Process Models ? Applications of S3E in various problem domains ? problems and lessons learned ? Applications of S3E in Lean Production and Lean Software Development ? Total Quality Management and Standardization for S3E ? Artificial Intelligence and Machine Learning methods in advancing S3E approaches ? S3E for Information and Business Intelligence Systems ? S3E for Embedded, Agent, Intelligent, Autonomous, and Cyber-Physical Systems ? S3E for Design of Multimedia and Interaction Systems ? S3E with User Experience and Interaction Design Methods ? S3E with Big Data and Data Science methods ? S3E with Blockchain and IoT Systems ? S3E for Cloud and Service-Oriented Systems ? S3E for Smart Data, Smart Products, and Smart Services World ? S3E in Digital Transformation Track 5 includes technical sessions: ? Cyber-Physical Systems (8th?Workshop; https://www.fedcsis.org/2021/sew-iwcps) ? Software Engineering (41th?IEEE Workshop; https://www.fedcsis.org/2021/sew-iwcps) ? Advances in Programming Languages (8th?Workshop; https://fedcsis.org/2021/wapl) There is a possibility of selecting extended versions of the best papers from Track 5 presented during the conference for further procedure in the journals: ComSIS, (http://www.comsis.org/ ISI IF(2019) = 0.927), and COLA, (https://www.journals.elsevier.com/journal-of-computer-languages ISI IF(2019) = 1.250). FedCSIS'21 KEYNOTE SPEAKERS: * David Bader; New Jersey Institute of Technology Keynote title: Solving Global Grand Challenges with High Performance Data Analytics * Rajkumar Buyya; Cloud Computing and Distributed Systems (CLOUDS) Lab, The University of Melbourne, Australia; and CEO, Manjrasoft Pvt Ltd, Melbourne, Australia Keynote title: Neoteric Frontiers in Cloud and Edge Computing * Hristo Djidjev; Los Alamos National Laboratory Keynote title: Using quantum annealing for discrete optimization * Moshe Y. Vardi; Rice University Keynote title: Lessons from COVID-19: Efficiency vs Resilience ZDZIS?AW PAWLAK BEST PAPER AWARD The Professor Zdzis?aw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS are eligible to be considered as the award winners. This award will be awarded independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2021/zp_award PAPER PUBLICATION: ? Authors should submit draft papers (as Postscript, PDF or MSWord file). ? The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. ? Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. ? Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. ? Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. ? Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. ? Conference proceedings will be indexed in BazEkon and?submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar ? Organizers reserve right to move accepted papers between FedCSIS technical sessions. IMPORTANT DATES: + Paper submission (strict deadline): May 24, 2021, 23:59:59 (UCT-12; there will be no extension) + Position paper submission: June 14, 2021 + Author notification: July 5, 2021 + Final paper submission and registration: July 26, 2021 + Conference date: September 2-5, 2021 Please forward this announcement to your colleagues and associates who could be interested in it. Track Chairs ? Lukovi?, Ivan,?University of Novi Sad, Serbia ? Kardas,?Geylani,?Ege University International Computer Institute, Turkey ? Mazzara,?Manuel,?Innopolis University, Russia Contact: s3e-track at fedcsis.org Program Chairs ? Bowen, Jonathan,?Museophile Ltd., United Kingdom ? Hinchey, Mike?(Lead Chair),?Lero-the Irish Software Engineering Research Centre, Ireland ? Szmuc, Tomasz,?AGH University of Science and Technology, Poland ? Zalewski, Janusz,?Florida Gulf Coast University, UnitedStates ? Seyed Hossein Haeri,?Catholic University of Louvain,?Louvain-la-Neuve, Belgium and University of Bergen, Norway Contact: s3e-program at fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From miguel-areias at dcc.fc.up.pt Fri May 21 11:22:29 2021 From: miguel-areias at dcc.fc.up.pt (Miguel Areias) Date: Fri, 21 May 2021 16:22:29 +0100 Subject: Connectionists: CFP - 17th Doctoral Consortium (DC) on Logic Programming (ICLP-DC 2021) Message-ID: <7e47e1ac-deaf-f71e-3614-af8a901f0ef1@dcc.fc.up.pt> ========================================================================= ????????????????????????? CALL FOR PAPERS ???? ICLP DC 2021 - 17th Doctoral Consortium (DC) on Logic Programming ========================================================================= The 17th Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. The preliminary website of the DC can be found at: https://sites.google.com/view/iclp-dc-2021/iclp-2021-doctoral-consortium The DC will take place during the 37th International Conference on Logic Programming (ICLP) https://iclp2021.dcc.fc.up.pt (September 20-27, 2021), as a fully virtual event. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. Important Dates *************** Paper submission: July 15, 2021 Notification: August 01, 2021 Camera-ready copy: August 10, 2021 DC presentations: TBA (fully virtual event) DC students are highly recommended to attend the Autumn School on Logic Programming and Constraint Programming (https://sites.google.com/view/iclp-dc-2021/autumn-school-on-logic-programming). Audience ******** The DC is designed for students currently enrolled in a Ph.D. program, though we are also open to exceptions (e.g., students currently in a Master's program and interested in doctoral studies). Students at any stage in their doctoral studies are encouraged to apply for participation in the DC. Applicants are expected to conduct research in areas related to logic and constraint programming; topics of interest include (but are not limited to): ** Foundations: Semantics, Formalisms, Nonmonotonic reasoning, ?? Knowledge representation. ** Languages: Concurrency, Objects, Coordination, Mobility, Higher ?? Order, Types, Modes, Assertions, Modules, Meta-programming, ?? Logic-based domain-specific languages, Programming Techniques. ** Declarative programming: Declarative program development, Analysis, ?? Type and mode inference, Partial evaluation, Abstract ?? interpretation, Transformation, Validation, Verification, ?? Debugging, Profiling, Testing, Execution visualization. ** Implementation: Virtual machines, Compilation, Memory management, ?? Parallel/distributed execution, Constraint handling rules, Tabling, ?? Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and Co-inductive Logic ?? Programming, Constraint Logic Programming, Answer Set Programming, ?? Interaction with SAT, SMT and CSP solvers, Logic programming ?? techniques for type inference and theorem proving, Argumentation, ?? Probabilistic Logic Programming, Relations to object-oriented and ?? Functional programming. ** Applications: Databases, Big Data, Data integration and federation, ?? Software engineering, Natural language processing, Web and Semantic ?? Web, Agents, Artificial intelligence, Computational life sciences, ?? Education, Cybersecurity, and Robotics. Submissions by students who have presented their work at previous ICLP DC editions are allowed, but should occur only if there are substantial changes or improvements to the student's work. The DC offers participants a convenient, more informal way to interact with established researchers and fellow students, through presentations, question-answer sessions, panel discussions, and invited presentations. The Doctoral Consortium will also provide the possibility to reflect - through short activities, information sessions, and discussions - on the process and lessons of research and life in academia. Each participant will give a short, critiqued, research presentation. Discussants *********** Renowned experts and researchers in the fields of logic and constraint programming will join in evaluating submissions and will participate in the DC, providing valuable feedback to DC participants. Goals ***** ** To provide doctoral students working in the fields of logic and ?? constraint programming with a friendly and open forum to present ?? their research ideas, listen to ongoing work from peer students, ?? and receive constructive feedback. ** To provide students with relevant information about important ?? issues for doctoral candidates and future academics. ** To develop a supportive community of scholars and a spirit of ?? collaborative research. ** To support a new generation of researchers with information and ?? advice on academic, research, industrial, and non-traditional ?? career paths. Submission Details ****************** Submissions of the research summary must be made in EPTCS format (http://info.eptcs.org/) and submitted via EasyChair. All papers must be written in English and should be between 5 and 10 pages. For all accepted DC papers, the student is required to attend the DC program and give a presentation during the DC. A program committee consisting of experts in various areas related to logic and constraint programming reviews the submissions. Papers are reviewed by at least two, and usually three, referees.? The submission package should consist of the research summary in the format mentioned above, a short vita or cover letter of the applicant, a letter of recommendation from applicant's faculty advisor, and one paragraph statement outlining how the school will benefit the applicant. All material is to be submitted electronically, in PDF format on the Easychair system. Easychair link: https://easychair.org/conferences/?conf=iclp2021 (Doctoral Consortium track) Research summary (make sure to include your complete name, address, and affiliation): The body of your research summary (no more than 10 pages, but 5 is fine as well!) should provide a clear overview of your research, its potential impact, and its current status. You are encouraged to include the following sections: ** Introduction and problem description ** Background and overview of the existing literature ** Goal of the research ** Current status of the research ** Preliminary results accomplished (if any) ** Open issues and expected achievements ** Bibliographical references Review Criteria *************** The DC program committee will select participants based on their anticipated contribution to the DC objectives. Participants typically have settled on their thesis directions and have their research proposal accepted by their thesis committee. Students will be selected based on clarity and completeness of their submission package, relevance of their research area w.r.t. the focus of ICLP, stage of research, recommendation letter, and evidence of promise towards a successful career in research and academia, such as published papers or technical reports. Registration ************ Registration is part of the ICLP 2021 registration. Registration costs for ICLP will be lower than usual since it is virtual this year. We aim to find sponsoring to cover the registration cost of students participating in the DC, but this still has to be confirmed. Program co-chairs ***************** Bart Bogaerts, Vrije Universiteit Brussel Carmine Dodaro, University of Calabria Program Committee ***************** Daniela Inclezan, Miami University OH Johannes Fichte, TU Dresden Fabio Fioravanti, University of Chieti-Pescara Gregory Gelfond, University of Nebraska at Omaha Zeynep G. Saribatur, Vienna University of Technology Frank Valencia, LIX, Ecole Polytechnique Matthias Van der Hallen, KU Leuven Yi Wang, Arizona State University Jessica Zangari, University of Calabria From cgf at isep.ipp.pt Sun May 23 05:29:04 2021 From: cgf at isep.ipp.pt (Carlos) Date: Sun, 23 May 2021 10:29:04 +0100 Subject: Connectionists: [Extended] IEEE/ACM/ASA DSAA'2021: CFPs Research, Application, Industrial, PhD and Special Sessions Tracks Message-ID: =============================================================== IEEE/ACM/ASA DSAA'2021 CALL FOR PAPERS: Research, Application, Industrial, PhD and Special Sessions Tracks Research & Application Tracks: https://dsaa2021.dcc.fc.up.pt/calls/research-applications-tracks Industrial Track: https://dsaa2021.dcc.fc.up.pt/calls/industrial-track PhD Track: https://dsaa2021.dcc.fc.up.pt/calls/phd-track Special Sessions: https://dsaa2021.dcc.fc.up.pt/calls/special-sessions =========== Important Dates =========== Research, Application, Special Session, and Tutorials: submission deadline: June 6, 2021 (extended) Research, Application, and Special Session tracks notification: 25 Jul. 2021 Research, Application, and Special Session tracks camera ready due: 8 Aug. 2021 PhD Track submission deadline: 1 July 2021 PhD Track notification: 15 July 2021 =========== Attached to this e-mail you can find a document containing detailed information about the Call For Papers. Best Regards, Carlos Ferreira Publicity Chair Carlos Ferreira [https://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Call for Papers.pdf Type: application/pdf Size: 220419 bytes Desc: not available URL: From aurel at ee.columbia.edu Fri May 21 07:20:27 2021 From: aurel at ee.columbia.edu (Aurel A. Lazar) Date: Fri, 21 May 2021 07:20:27 -0400 Subject: Connectionists: Registration for the Virtual Workshop on Functional Logic of Neural Circuits: Diamonds in the Rough Message-ID: Registration for the Virtual Workshop on Functional Logic of Neural Circuits: Diamonds in the Rough, June 10-11, is now open at https://sites.google.com/njit.edu/diamonds . Aurel http://www.bionet.ee.columbia.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sun May 23 10:48:24 2021 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sun, 23 May 2021 14:48:24 +0000 Subject: Connectionists: SBP-BRiMS'2021: New deadlines for Late-breaking papers, Doctoral Consortium, Tutorials, Challenge Problems In-Reply-To: References: , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2021 2021 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 6--9, 2021 Conference will be Virtual http://sbp-brims.org/ #sbpbrims SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. IMPORTANT DATES: Regular Paper Submission: 16-April-2021 (Midnight EST) Author Notification: 06-May-2021 Camera-ready Submission (Regular Papers): 16-May-2021 Working/Late-breaking Paper: 1-June-2021 Doctoral Consortium: 1-June-2021 Tutorial Proposal: 1-June-2021 Demo Submission: 1-June-2021 Acceptance Notification: 14-June-2021 Challenge Submission: 1-June-2021 Challenge Notification: 14-June-2021 Final Video and PowerPoint Submission: 28-June-2021 Submit your paper here. Until the final paper deadline, you will be able to update your submission. Note, all papers undergo a rigorous peer review process for presentation in the plenary, regular, or poster sessions. All papers accepted to the plenary sessions will be published in the archival proceedings - the Springer LNCS volume. Only Regular papers will be evaluated for either the archival or online proceedings. The remaining tracks will be published online for 1 year on our non-archival conference website. Each accepted paper requires confirmation of conference registration and requires a separate registration prior to being considered for a plenary session (oral or poster). PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. Special Track on Human-Agent Teaming This year we are soliciting papers for a special workshop on human-agent teaming (or human-AI teaming) to be held during the conference. When submitting your paper in EasyChair please whether you want to be considered for this track. Special Track on COVID-19 & Validation This year we are soliciting papers for a special workshop on the COVID-19 pandemic to be held during the conference. We are particularly interested in papers focused on validation studies of models and tools used for COVID-19 response efforts. Validation studies evaluate the influence of important threats to validity, such as missing data, measurement error, and confounding. Validation studies are particularly important for assessing the utility of models and tools outside of similar settings (e.g., application of models and tools to the next pandemic or global disaster). When submitting your paper in EasyChair please indicate whether you want to be considered for this track. CHALLENGE PROBLEM: The conference expects to announce a computational challenge as in previous years. Additional details will be posted in December. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of travel scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. TOPICS: Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interest include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling Agent-based modeling * Group formation, interaction, and/or evolution * Collective action and governance * Cultural patterns & representation * Social conventions, social contexts and processes * Influence process, recognition, and diffusion * Public opinion representation, identification and modeling Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes overtime * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military, Cyber, & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. * Late breaking and short papers are now referred to as working papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sun May 23 12:31:45 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 23 May 2021 18:31:45 +0200 Subject: Connectionists: Fianl Call for Papers -- FedCSIS 2021 (and all of its events) -- IEEE # 52320 -- Deadline 24.05.2021 -- still time to compete for 600 EURO Prof. Z. Pawlak prize for best paper In-Reply-To: References: Message-ID: FINAL CALL FOR PAPERS 16th Conference on Computer Science and Intelligence Systems (FedCSIS?2021) Online, 2-5 September, 2021 www.fedcsis.org Strict submission deadline: May 24, 2021, 23:59:59 pm HST (no extensions) (FedCSIS IEEE conference number: #52320) ************************* COVID-19 Information ************************* While we have planned the 2021 conference to take place in Sofia, Bulgaria, slow progress in fighting the global pandemic has forced us to switch to the fully online mode. Therefore, we plan to organize FedCSIS 2022 in Sofia, and hope that by that time COVID will be over, and we will be able to meet in person. ************************************************************************ Please feel free to forward this announcement to your colleagues and associates who could be interested in it. KEY FACTS: expected Proceedings: IEEE Digital Library; indexing: DBLP, Scopus and Web of Science; 13 Technical Sessions in 5 Tracks; Doctoral Symposium; conference fee covers preparation of the proceedings volume. FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. It is technically sponsored by a number of IEEE units and other professional organizations (for the full list, see the conference site). The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and intelligence systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions, focused on their scientific and professional interests in computer science and intelligence systems. Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science, SCOPUS, DBLP and other indexing services. This already includes Proceedings of FedCSIS 2018 (we are awaiting the decision for the FedCSIS 2019 and 2020; we are told that, recently, WoS is experiencing unusual delays). Information about FedCSIS indexing / bibliometry / rankings can be found at: https://www.fedcsis.org/2021/indexation. FedCSIS TRACKS AND TECHNICAL SESSIONS The FedCSIS 2021 consists of five conference Tracks, hosting Technical Sessions: Track 1: Advanced Artificial Intelligence in Applications (16th Symposium AAIA'21) *Computational Optimization (14th Workshop WCO'21) Track 2: Computer Science & Systems (CSS'21) * Actors, Agents, Assistants, Avatars (1st Workshop 4A'21) * Computer Aspects of Numerical Algorithms (14th Workshop CANA'21) * Multimedia Applications and Processing (14th International Symposium MMAP'21) * Scalable Computing (12th Workshop WSC'21) Track 3: Network Systems and Applications (NSA'21) * Internet of Things - Enablers, Challenges and Applications (5th Workshop IoT-ECAW'21) * Cyber Security, Privacy and Trust (2nd International Forum NEMESIS'21) Track 4: Advances in Information Systems and Technologies (AIST'21) * Data Science in Health, Ecology and Commerce (3rd Special Session DSH'21) * Information Systems Management (16th Conference ISM'21) * Knowledge Acquisition and Management (27th Conference KAM'21) Track 5: Software, System and Service Engineering (S3E'21) * Cyber-Physical Systems (8th Workshop IWCPS-8) * Software Engineering (41th IEEE Workshop SEW-41) * Advances in Programming Languages (8th Workshop WAPL'21) Recent Advances in Information Technology (7th Doctoral Symposium DS?RAIT'21) KEYNOTE SPEAKERS * David Bader New Jersey Institute of Technology Keynote title: Solving Global Grand Challenges with High Performance Data Analytics * Rajkumar Buyya, Cloud Computing and Distributed Systems (CLOUDS) Lab, The University of Melbourne, Australia; and CEO, Manjrasoft Pvt Ltd, Melbourne, Australia Keynote title: Neoteric Frontiers in Cloud and Edge Computing * Hristo Djidjev Los Alamos National Laboratory Keynote title: Using quantum annealing for discrete optimization * Moshe Y. Vardi Rice University Keynote title: Lessons from COVID-19: Efficiency vs Resilience ZDZIS?AW PAWLAK BEST PAPER AWARD The Professor Zdzis?aw Pawlak Awards are given in the following categories: ? Best Paper Award (?600) ? Young Researcher Paper Award (?400) ? Industry Cooperation Award (?400) ? International Cooperation Award (?400) All papers accepted to FedCSIS are eligible to be considered as the award winners. This award will be awarded independently from awards given by individual FedCSIS events (Tracks and/or Technical Sessions). Past Award winners can be found here: https://fedcsis.org/2021/zp_award PAPER SUBMISSION AND PUBLICATION + Papers should be submitted by May 24, 2021 (strict deadline, no extensions, submission system is open, via EasyChair https://easychair.org/my/conference?conf=fedcsis2021). + Preprints will be published online. + Only papers presented during the conference will be submitted to the IEEE for inclusion in the Xplore Digital Library. Furthermore, proceedings, published in a volume with ISBN, ISSN and DOI numbers, will be posted within the conference Web portal. Moreover, most Technical Session organizers arrange quality journals, edited volumes, etc., and may invite selected extended and revised papers for post-conference publications (information can be found at the websites of individual events, or by contacting Chairs of said events). IMPORTANT DATES + Paper submission (strict deadline): May 24, 2021, 23:59:59 (UCT-12; there will be no extension) + Position paper submission: June 14, 2021 + Author notification: July 5, 2021 + Final paper submission and registration: July 26, 2021 + Conference date: September 2-5, 2021 CHAIRS OF FedCSIS CONFERENCE SERIES Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki CONTACT FedCSIS at: secretariat at fedcsis.org FedCSIS in Social Media: FedCSIS on Facebook: http://tinyurl.com/FedCSISFacebook FedCSIS on LinkedIN: https://tinyurl.com/FedCSISonLinkedIN FedCSIS on Twitter: https://twitter.com/FedCSIS FedCSIS on XING: http://preview.tinyurl.com/FedCSISonXING -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From naotsugu.tsuchiya at monash.edu Sun May 23 21:37:04 2021 From: naotsugu.tsuchiya at monash.edu (Nao Tsuchiya) Date: Mon, 24 May 2021 11:37:04 +1000 Subject: Connectionists: Consciousness Talks on June 3 Message-ID: Dear members, This is an advertisement of the following two talks+discussion on color qualia, which you can join either Youtube (see below) or Zoom (link info available at APCN Slack ). Event name: Consciousness Talks 3 Date and time: June 3, 9:00 am (JST) Translate to your time zone. Speaker: 1. Shigeki Nakauchi, Toyohashi University of Technology, Japan (webpage ). Title: How can we know about color appearance of dichromats? 2. Shin'ya Nishida, Kyoto University, Japan (webpage ) Title: Color is not only for color qualia. Link to talk abstracts & bio of the speakers. YouTube: https://youtu.be/qELzSd-10mE Regards Nao Tsuchiya -- -- Professor Nao (Naotsugu) Tsuchiya, PhD School of Psychological Sciences Turner Institute for Brain and Mental Health * Brain Mapping and Modelling Program* Monash University 770 Blackburn Monash Biomedical Imaging facility, Clayton, VIC 3168 Australia T: +61 3 9905 4564 E: naotsugu.tsuchiya at monash.edu W: homepage : Tw: @conscious_tlab YouTube : neural basis of consciousness 2. Visiting Researcher at Department of Dynamic Brain Imaging, Advanced Telecommunications Research (ATR), Japan 3. Visiting Researcher at CiNet, Osaka University, Japan orcid.org/0000-0003-4216-8701 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Mon May 24 00:09:54 2021 From: jkrichma at uci.edu (Jeffrey Krichmar) Date: Sun, 23 May 2021 21:09:54 -0700 Subject: Connectionists: Steps Toward A Conscious Artifact Message-ID: <0EB7457A-E002-4C8E-A695-B403A6D49144@uci.edu> Dear Connectionists, I thought some of you might be interested in this event that occurred a number of years ago. The paper is available on arXiv: https://arxiv.org/abs/2105.10461 Title: Edelman's Steps Toward a Conscious Artifact Authors: Jeffrey L. Krichmar In 2006, during a meeting of a working group of scientists in La Jolla, California at The Neurosciences Institute (NSI), Gerald Edelman described a roadmap towards the creation of a Conscious Artifact. As far as I know, this roadmap was not published. However, it did shape my thinking and that of many others in the years since that meeting. This short paper, which is based on my notes taken during the meeting, describes the key steps in this roadmap. I believe it is as groundbreaking today as it was more than 15 years ago. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From interdonatos at gmail.com Mon May 24 05:51:01 2021 From: interdonatos at gmail.com (Roberto Interdonato) Date: Mon, 24 May 2021 11:51:01 +0200 Subject: Connectionists: [DEADLINE EXTENDED] CfP DSAA 2021 Special Session : Data Science Approaches for Modeling, Analyzing and Mining Networks on Networks Message-ID: ****** Apologies for any cross-posting ****** -------------------------------------------------------------- CALL FOR PAPERS Special Session on Data Science Approaches for Modeling, Analyzing and Mining Networks on Networks to be held on October 6-9 (Online Event) co-located with DSAA 2021 https://lipn.fr/dsaa21/ -------------------------------------------------------------- Important Dates: ================ ** Submission Deadline: *10 June 2021* ** Notification of Acceptance: 5 August 2021 ** Camera-Ready Versions Due: 4 September 2021 Objectives: =========== Structures built upon great quantities of networked entities, such as computer networks and social networks, have an undeniable central role in our everyday life. The need to study these complex real-world topologies, together with the growing ability to carry out these studies thanks to technological advances, recently made the use of complex network models pervasive in many disciplines such as computer science, physics, social science, as well as in interdisciplinary research environments. A special focus among others can be made on cyber-physical networks, which refers to multi-layer networks depicting at least two related sets of interactions of different types; some occur in the physical world while others take place in the cyberspace. Social systems, with the ubiquitous use of on-line social media combined with the ubiquitous use of connected devices (smart phones, connected objects) are one obvious example of targeted systems. Modern critical infra-structure systems such as power grids, public transportation systems, financial networks, the World Wide Web and the Internet are further additional examples. In all these different systems, cyber and physical layers evolve at different paces but the evolution of one layer is tightly influencing the dynamic of and on other layers. We use the term Networks on Networks to designate the fact that even if each network (or layer) can be studied separately as frequently done today, our goal is to study the mutual influence among different layers of the same cyber-physical network. The aim of this special session, is to get an insight into the current status of research in network on networks modeling, analysis and mining, showing how modeling information in Networks on Networks can make it possible to focus on domains and research questions that have not been deeply investigated so far and to improve solutions to classic tasks. We encourage contributions on methods and techniques that are both domain-specific but also transversal to different application domains. We will consider the two main aspects of network analysis: modeling and knowledge discovery. The session should point out this differentiation, and enforce the interaction between researchers from different domains. In particular, we solicit contributions that aim to focus on the analysis of networks on networks, addressing important principles, methods, tools and future research directions in this emerging field. The special session will increase the visibility of the above research themes, and will also bridge research tasks from different fields of data science. Even though the focus is on computer science, the themes of the special session also encourage interdisciplinary discussion about topics touching different fields such as physics, social science and humanities. Overall, we are interested in receiving papers related to the following topics which include but are not limited to: ? Foundations of Learning and Mining in Networks on Networks ? Layer Correlation in Networks on Networks ? Centrality and Ranking in Networks on Networks ? Community Detection in Networks on Networks ? Link Prediction in Networks on Networks ? Simplification/pruning/sampling of Networks on Networks ? Embedding and Deep Learning in Networks on Networks ? Visualization of Networks on Networks ? Pattern mining in Networks on Networks ? Probabilistic and Uncertain Networks on Networks ? Domain-driven applications The special session will in particular target applications in areas related to: ? agricultural monitoring ? cyber-physical systems ? cyber-security ? environmental analytics ? human sensing ? industrial risk studies ? landscape analysis Submissions: ============ All submitted papers must be written in English. The paper length allowed for papers submitted to the special session is a maximum of ten (10) pages. The format of papers is the standard 2-column U.S. letter style IEEE Conference template. See the IEEE Proceedings Author Guidelines: https://www.ieee.org/conferences/publishing/templates.html for further information and instructions. All submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference?s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews. Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA?2021. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to DSAA?2021 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper?s title and abstract are different from the one appearing in arXiv. Papers that appear in arXiv from the DSAA?2021 submission deadline until the review process has ended, will be rejected without reviews. Authors are also encouraged to support their papers by providing through a git-type public repository the code and data to support the reproducibility of their results. Workshop Organizers: ==================== Martin Atzmueller, Osnabr?ck University Roberto Interdonato, CIRAD, Montpellier Rushed Kanawati, University Sorbonne Paris Nord -------------- next part -------------- An HTML attachment was scrubbed... URL: From arafferty at carleton.edu Mon May 24 09:00:35 2021 From: arafferty at carleton.edu (Anna Rafferty) Date: Mon, 24 May 2021 08:00:35 -0500 Subject: Connectionists: CFP: RL4ED - EDM'21 Workshop on Reinforcement Learning for Education Message-ID: ================================== ***Call for Papers*** Workshop on Reinforcement Learning for Education (RL4ED) at the International Conference on Educational Data Mining (EDM 2021) https://rl4ed.org/edm2021/ Workshop Date: 29 June 2021 Paper Submission Deadline: 31 May 2021, 5:00:00 PM PST Author Notification: 10 June 2021, 5:00:00 PM PST ================================== ***Overview*** This workshop aims to bring together researchers and practitioners interested in the broad areas of reinforcement learning (RL) and education (ED). The workshop will focus on two thrusts: (1) Exploring how we can leverage recent advances in RL methods to improve the state-of-the art technology for ED. (2) Identifying unique challenges in ED that are beyond the current methodology, but can help nurture technical innovations and next breakthroughs in RL. Speakers include Joe Austerweil (University of Wisconsin-Madison), Emma Brunskill (Stanford University), Min Chi (NOrth Carolina State University), Shayan Doroudi (University of California Irvine), Jos? Miguel Hern?ndez Lobato (University of Cambridge), and Simon Woodhead (Eedi). ================================== ***Topics of Interest*** Topics of interests in the workshop include (but are not limited to) the following: * Survey papers summarizing recent advances in RL with applicability to ED. * Developing toolkits, datasets, and challenges for applying RL methods to ED. * Using RL for online evaluation and A/B testing of different intervention strategies in ED. * Novel applications of RL for ED problem settings. * Using pedagogical theories to narrow the policy space of RL methods. * Using RL methodology as a computational model of students in open-ended domains. * Developing novel offline RL methods that can efficiently leverage historical student data. * Combining statistical power of RL with symbolic reasoning to ensure the robustness for ED. ================================== ***Submissions*** We solicit submissions of two types: * Research track papers reporting the results of ongoing or new research, which have not been published before. In particular, we encourage papers covering late-breaking results and work-in-progress research. Submissions should follow the EDM'21 format and are encouraged to be up to four pages, excluding references and appendices. Papers submitted for review do not need to be anonymized. There will be no official proceedings, but the accepted papers will be made available on the workshop website. Accepted papers will be either presented as a talk or poster. * Encore track papers that have been recently published, or accepted for publication in a conference or journal. For this track, authors only need to submit the Title and Abstract of their paper to the submission site, and no PDF needs to be uploaded. At the end of the Abstract, authors should clearly state the venue where the paper was previously published and provide a URL link to access the PDF of the paper online. Accepted papers will be presented as a poster. This is a unique opportunity for the researchers to further broaden the dissemination and impact of their important work. Submission site: https://easychair.org/conferences/?conf=rl4ededm21 ================================== ***Organizers*** * Neil T. Heffernan. Worcester Polytechnic Institute (Worcester, USA). * Goran Radanovic. Max Planck Institute for Software Systems (Saarbrucken, Germany). * Anna N. Rafferty. Carleton College (Northfield, USA). * Adish Singla. Max Planck Institute for Software Systems (Saarbrucken, Germany). ================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.passarella at iit.cnr.it Mon May 24 06:00:01 2021 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Mon, 24 May 2021 12:00:01 +0200 (CEST) Subject: Connectionists: Scouting for PhD and post-doc topics at IIT-CNR, Pisa, Italy Message-ID: <20210524100001.DFD621630086@magneto.iit.cnr.it> The Ubiqiutous Internet Research Unit @ IIT-CNR, Pisa, Italy, is scouting for PhD and/or Post-docs on the following topics #1: Human-centric Artificial Intelligence #2: Decentralised AI for resource-constrained edge systems #3: Architectures, Algorithms, and Protocols for the Quantum Internet #4: Quantum Internet: Interconnection of Quantum and Legacy-Internet Networks #5: Resource allocation and slicing in MEC systems for latency-sensitive IoT applications #6: AI-based Decision Support Systems for Smart Healthcare applications #7: Cooperative Ubiquitous Opportunistic Charging with Intelligent Battery Aging Mitigation #8 Cross-layer network design for heterogeneous RF/VLC 6G vehicular networks ** Hosting Universities for PhD topics: IIT-CNR is part of the newly-established national PhD programme on Artificial Intelligence (https://www.phd-ai.it/), and has multiple agreements for joint PhD programmes with the University of Pisa (https://www.unipi.it/index.php/english) and the University of Florence (http://www.unifi.it/changelang-eng.html). Interested people are requested send an Expression of Interest (EoI) to the reference person for each topic as described in the following, for possibly scheduling a specific session of p2p discussion on the topic. ** EoI deadline: continuous, up until the end of July 2021 Details available here http://turig.iit.cnr.it/ui-positions/ From pokornam at cs.cas.cz Tue May 25 04:07:19 2021 From: pokornam at cs.cas.cz (pokornam) Date: Tue, 25 May 2021 10:07:19 +0200 Subject: Connectionists: Last Call: Postdoctoral Fellowship / Fellowship for Junior Researchers, Prague, Czech Republic Message-ID: <0596372f97d764f807db8adc47951faa@cs.cas.cz> The Institute of Computer Science (ICS) of the Czech Academy of Sciences (CAS) offers FELLOWSHIPS FOR OUTSTANDING AND ENTHUSIASTIC JUNIOR RESEARCHERS, PhD holders, open to cooperation with some of the researchers of the Institute (www.cs.cas.cz). For more information on the position please see https://www.cs.cas.cz/job-offer/ics-postdoctoral-fellowship-2021/en THE CLOSING DATE FOR APPLICATION IS 31ST MAY 2021. The Czech Academy of Sciences is the biggest institution conducting basic research in the Czech Republic. It covers 54 research institutes, the Institute fo Computer Science being one of them. From amir.kalfat at gmail.com Mon May 24 14:28:28 2021 From: amir.kalfat at gmail.com (Amir Aly) Date: Mon, 24 May 2021 19:28:28 +0100 Subject: Connectionists: CFP Ro-Man 2021 Workshop: Robot Behavior Adaptation to Human Social Norms Message-ID: *CALL FOR PAPERS * **Apologies for cross-posting ** The *full-day virtual *workshop: "*Robot Behavior Adaptation to Human Social Norms (TSAR)*" In conjunction with the *30th IEEE International Conference on Robot and Human Interactive Communication (Ro-Man) - August 12, 2021* Webpage: *https://tsar2021.ai.vub.ac.be* *I. Aim and Scope * A key factor for the acceptance of robots as regular partners in human-centered environments is the appropriateness and predictability of their behavior. The behavior of human-human interactions is governed by customary rules that define how people should behave in different situations, thereby governing their expectations. Socially compliant behavior is usually rewarded by group acceptance, while non-compliant behavior might have consequences including isolation from a social group. Making robots able to understand human social norms allows for improving the naturalness and effectiveness of human-robot interaction and collaboration. Since social norms can differ greatly between different cultures and social groups, it is essential that robots are able to learn and adapt their behavior based on feedback and observations from the environment. This workshop aims to attract the latest research studies and expertise in human-robot interaction and collaboration at the intersection of rapidly growing communities, including social and cognitive robotics, machine learning, and artificial intelligence, to present novel approaches aiming at learning, producing, and evaluating human-aware robot behavior. Furthermore, it will provide a venue to discuss the limitations of the current approaches and future directions towards creating intelligent human-aware robot behaviors. *II. Keynote Speakers and Panelists * 1. *Brian Scassellati* ? Yale University ? USA 2. *Greg Trafton *? Naval Research Laboratory ? USA 3. *Ana Paiva* ? University of Lisbon ? Portugal 4. *Matthias Scheutz* ? Tufts University ? USA 5. * Amit Kumar Pandey* ? Hanson Robotics ? Hong Kong *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission * . 2. Use the RO-MAN 2021 format: *Ro-Man Papers Templates * . 3. Submitted papers should be 6-pages for regular papers and 2-pages for position papers. The primary list of topics covers the following points (but not limited to): - Human-human vs human-robot social norms - Influence of cultural and social background on robot behavior perception - Learning of socially accepted behavior - Behavior adaptation based on social feedback - Transfer learning of social norms experience - The role of robot appearance on applied social norms - Perception of socially normative robot behavior - Human-aware collaboration and navigation - Social norms and trust in human-robot interaction - Representation and modeling techniques for social norms - Metrics and evaluation criteria for socially compliant robot behavior *IV. Important Dates * 1. Paper submission: *June 30, 2021 (AoE)* 2. Notification of acceptance: *July 28, 2021 (AoE)* 3. Workshop: *August 12, 2021* *V. Organizers * 1. *Oliver Roesler* ? Vrije Universiteit Brussel ? Belgium 2. *Elahe Bagheri* ? Vrije Universiteit Brussel ? Belgium 3. *Amir Aly* ? University of Plymouth ? UK 4. * Silvia Rossi* ? University of Naples Federico II ? Italy 5. *Rachid Alami **? CNRS-LAAS ? France* *----------------------* *Dr. Amir Aly* Lecturer in Computer Science Centre for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, Plymouth PL4 8AA University of Plymouth, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From pokornam at cs.cas.cz Tue May 25 03:42:02 2021 From: pokornam at cs.cas.cz (pokornam) Date: Tue, 25 May 2021 09:42:02 +0200 Subject: Connectionists: LAST CALL: Tenure Track Research Position - Computer Science, Prague, Czech Republic Message-ID: The Czech Academy of Sciences is the biggest institution conducting basic research in the Czech Republic. It covers 54 research institutes, the Institute of Computer Science being one of them. LAST CALL: The Institute of Computer Sciences of the Czech Academy of Sciences (ICS CAS), Prague, Czech Republic, invites applications for one tenure?track position in Computer Science and related areas fitting and/or expanding its current research focus, consisting mainly of: artificial intelligence, combinatorics, complex dynamic systems, computational complexity, data-mining, mathematical logic, statistics. The closing date for application is 31st May 2021. For more information on the position please see https://www.cs.cas.cz/job-offer/Tenure-Track-Position-Computer-Science-2021/en, or contact us at posinfo at cs.cas.cz Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic http://www.cs.cas.cz From interdonatos at gmail.com Tue May 25 05:27:22 2021 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 25 May 2021 11:27:22 +0200 Subject: Connectionists: CFP Urban Complex Systems 2021 @CCS2021 Message-ID: Urban Complex Systems October 27 - 28, 2021 An Online Workshop Satellite of the Conference on Complex Systems 2021 Submission deadline: July 06, 2021 Acceptance notification: July 09, 2021 Cities are massive systems whose tremendous complexity requires even greater efforts to be modeled, analyzed, understood and governed. The city is the expression of a multitude of strongly intertwined systems that vary from people sociality to transport systems, from the cultural fabric to urban planning. Each of these city facets already represents in itself a complex system but their interconnection represents what is certainly one of the systems created by human beings with highest complexity in the world. The aim of this event is to bring together researchers and practitioners from around the world interested in urban systems from the perspective of complexity science. Topics of interest include but are not limited to theoretical aspects, algorithms, methods, and fields of applications, such as: ? Urban Analytics ? Social networks ? Human behavior ? Information diffusion ? Epidemic spreading ? Mobility and transportation ? City services & infrastructures ? City monitoring ? Urban planning ? Communication systems ? Economic and financial systems ? Healthcare ? Emergency management ? Smart environment & ecosystems ? Digital city and smart growth ? Sustainability and energy efficiency ? Smart buildings and smart grids ? Manufacturing and logistics ? Intelligent infrastructure ? Blockchain for Smart City Applications *CONTRIBUTION: * Two types of contributions are welcome: ? *Extended Abstracts* about published or unpublished research (2to 3 pages including references). ? *Original research papers* discussing ongoing research projects (10 to 12 pages including references). They must follow the BioMed Central article template available at: https://appliednetsci.springeropen.com/submission-guidelines/preparing-your-manuscript/research-articles *PUBLICATION: * Accepted submission will be invited to submit an extended version of their contribution (either type) to a special issue of Applied Network Science edited by Springer *SUBMISSION WEBSITE* https://easychair.org/conferences/?conf=urbancomplexsystems20210. *PC-CHAIRS* Hocine Cherifi *LIB University of Burgundy, France, **hocine.cherifi at gmail.com* Sabrina Gaito *Universit? degli Studi di Milano, Italy, **sabrina.gaito at unimi.it* Roberto Interdonato *CIRAD, UMR Tetis, Montpellier, France, **roberto.interdonato at cirad.fr* Hamamache Kheddouci *LIRIS Univ. of Lyon, France * *hamamache.kheddouci at univ-lyon1.fr* Matteo Zignani *Universit? degli Studi di Milano, Italy, **matteo.zignani at unimi.it* -------------- next part -------------- An HTML attachment was scrubbed... URL: From vincentthunder2011 at gmail.com Tue May 25 06:55:58 2021 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Tue, 25 May 2021 18:55:58 +0800 Subject: Connectionists: [Last Call] IEEE GLOBECOM 2021 - Social Networks SAC Message-ID: IEEE Global Communications Conference 7-11 December 2021 Madrid, Spain Selected Areas in Communication Symposium: Social Networks Track SCOPE AND MOTIVATION Recently, social network research has advanced rapidly with the prevalence of online social applications and mobile social communications systems. Moreover, the ongoing pandemic via contact social networks has caused tremendous human life and economic loss around the world, and infodemic is one of the major social impacts that make people difficult to discriminate trustworthy sources, from false and manipulative information sources. Therefore, researchers are increasingly interested in addressing a wide spectrum of challenges in social networks, such as developing social-aware algorithms for communications systems, identifying the topological common structures and information/influence flows, analyzing the social media and evolutions of social graphs, and exploiting location-based and contextual information embedded in mobile social networks to create innovative applications. Due to the interdisciplinary nature, social networks have also attracted intensive research interests across multiple disciplines, including artificial intelligence, blockchain, big data analytics, information security and privacy protection, psychology, and marketing. In light of the above crucial needs, Selected Areas in Communication Symposium in Social Networks will serve as a forum for researchers and technologists to discuss the state-of-the-art, present their contributions, and set future directions in social networks. TOPICS OF INTEREST - Infrastructure, platform, protocol design, and optimization for mobile social networks, mobile social clouds, and social Internet-of-Things with Artificial Intelligence - Social-aware network solutions and social network influence on (wireless) communications systems - Cross-layer design for social networks and the underlying communications and network platforms, and subsequent new design paradigm for future (wireless) communications - Network graph modeling, measurements, simulations, and experiments - Analysis of dynamics and control of belief, influence, and rumor propagations in the evolutions of social networks - Data mining, machine learning, information retrieval, signal processing, and artificial intelligence in social media and social contexts - Trusted networking, privacy and security, user behaviors and dynamics, and digital right management, for big data in social networks - Innovative social network applications and services to mobile Internet, multimedia networks, mobile-commerce, cyber-physical systems, and their potential social, economic, and cultural impacts - Multidisciplinary and interdisciplinary research on social networks IMPORTANT DATES Deadline for paper submission: 28 May 2021 (Firm) Date for notification: 25 July 2021 Deadline for final paper submission: 1 September 2021 SUBMISSION INSTRUCTIONS All papers for technical symposia should be submitted via EDAS through the following link. https://edas.info/newPaper.php?c=27498&track=102700 -------------- next part -------------- An HTML attachment was scrubbed... URL: From yuliasid at ucm.es Tue May 25 07:59:11 2021 From: yuliasid at ucm.es (YULIA SIDOROVA) Date: Tue, 25 May 2021 13:59:11 +0200 Subject: Connectionists: PhD forum at ECML PKDD 2021 (Virtual) Message-ID: **Our apologies if you receive multiple copies of this CFP** *CALL FOR PAPERS* for the PhD forum at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Spain (ONLINE). https://2021.ecmlpkdd.org/ *SCOPE AND MOTIVATION* The premier European machine learning and data mining conference (ECML PKDD) includes a PhD student forum on machine learning and knowledge discovery. During the forum, researchers with experience in supervising and examining doctoral students will participate and provide constructive feedback and advice to the participants. This is an excellent opportunity for developing person-to-person networks to the benefit of the PhD students in their future careers. The criterion for acceptance: the submission is clearly structured and written and is of sufficient maturity to enable the advisors to provide constructive feedback. Papers will not be formally published. However, unless the authors object, they will be made publicly available through the conference website. *IMPORTANT DATES* - Submission deadline: June 21, 2021. - Notification of Acceptance: July 12, 2021. - PhD Forum: September 13, 2021 (ONLINE). For more information see https://2021.ecmlpkdd.org/?page_id=1591 We look forward to welcoming you in Bilbao. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Tue May 25 05:54:10 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Tue, 25 May 2021 17:54:10 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Call for Long, Short and Blue Sky Papers *Deadline Extended to June 2* Message-ID: Call for Long and Short Papers *************************************** ACM ICMI 2021: Call for Long and Short Papers http://icmi.acm.org/2021/index.php?id=cfp 18-22 Oct 2021, Montreal, Canada *************************************** Call for Long, Short and Blue Sky Papers *Deadline Extended to June 2* The 23rd ACM International Conference on Multimodal Interaction (ACM ICMI 2021) will be held in Montreal, Canada. ACM ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction analysis, interface design, and system development. We are keen to showcase novel input and output modalities and interactions to the ICMI community. ACM ICMI 2021 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), Blue Sky papers, demonstrations, exhibits, doctoral spotlight papers, and late-breaking papers. The conference will also feature workshops and grand challenges. The proceedings of ICMI 2021 will be published by ACM as part of their series of International Conference Proceedings and Digital Library, and the adjunct proceedings will feature the workshop papers We also want to welcome conference papers from behavioral and social sciences. These papers allow us to understand how technology can be used to increase our scientific knowledge and may focus less on presenting technical or algorithmic novelty. For this reason, the "novelty" criteria used during ICMI 2021 review will be based on two sub-criteria (i.e., scientific novelty and technical novelty as described below). Accepted papers at ICMI 2021 only need to be novel on one of these sub-criteria. In other words, a paper which is strong on scientific knowledge contribution but low on algorithmic novelty should be ranked similarly to a paper that is high on algorithmic novelty but low on knowledge discovery. - Scientific Novelty: Papers should bring some new knowledge to the scientific community. For example, discovering new behavioral markers that are predictive of mental health or how new behavioral patterns relate to children's interactions during learning. It is the responsibility of the authors to perform a proper literature review and clearly discuss the novelty in the scientific discoveries made in their paper. - Technical Novelty: Papers reviewed with this sub-criterion should include novelty in their computational approach for recognizing, generating or modeling data. Examples include: novelty in the learning and prediction algorithms, in the neural architecture, or in the data representation. Novelty can also be associated with new usages of an existing approach. This year's conference theme: In the past years and specially 2020, the questions of Behavioral Health and Virtual Connectivity have become central to our life. In particular, COVID-19 has disrupted our normal social life and interactions at work, bringing challenges but also opportunities to improve our team sociability and productivity. This situation calls for multimodal systems to enhance social and emotional remote interaction as well as to increase productivity during remote collaboration. Our behavioral health has been severely impacted the past months. The needs for non-intrusive sensing technology, smart environments (e.g., elderly home monitoring), wearable and assistive devices for rehabilitation, well-being and ageing population and multimodal interfaces to support behavioral changes have become a crucial necessity. As such, this year, ICMI welcomes contributions on our theme for Behavioral Health and Virtual Connectivity. Additional topics of interest include but are not limited to: - Affective computing and interaction - Cognitive modeling and multimodal interaction - Gesture, touch and haptics - Healthcare, assistive technologies - Human communication dynamics - Human-robot/agent multimodal interaction - Interaction with smart environment - Machine learning for multimodal interaction - Mobile multimodal systems - Multimodal behavior generation - Multimodal datasets and validation - Multimodal dialogue modeling - Multimodal fusion and representation - Multimodal interactive applications - Speech behaviors in social interaction - System components and multimodal platforms - Visual behaviours in social interaction - Virtual/augmented reality and multimodal interaction Blue Sky Papers ACM ICMI 2021 is pleased to partner with the Computing Community Consortium (CCC) to initiate a new Blue Sky paper track that emphasizes innovative, visionary, and high-impact contributions. This track solicits papers relevant to ICMI content that go beyond the usual research paper to present new visions that stimulate the ICMI community to pursue innovative new directions. They may challenge existing assumptions and methodologies, or propose new applications or theories. The papers are encouraged to present high-risk controversial ideas. Submitted papers are expected to represent deep reflection, to argue rigorously, and to present ideas from a high-level synthetic viewpoint (e.g., multidisciplinary, based on multiple methodologies). Submissions should be 4 pages, independent of references. The CCC will further distribute and publicize any papers published in this track, and they will sponsor awards to honor the first ($1,000), second ($750), and third ($500) place papers, in the form of travel grants. The submission deadline is the same with main conference papers. Important Dates Paper Submission: June 2, 2021 Reviews to authors: July 7, 2021 Rebuttal due: July 12, 2021 Paper notification: July 26, 2021 Camera-ready paper: August 16, 2021 Presenting at main conference: October 18-22, 2021 ------------------------------------------------------------------------------- Dongmei Jiang Professor, Head of Dept. Computer Information Engineering, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.c.kampffmeyer at uit.no Tue May 25 13:14:32 2021 From: michael.c.kampffmeyer at uit.no (Michael Kampffmeyer) Date: Tue, 25 May 2021 17:14:32 +0000 Subject: Connectionists: PhD position in Machine Learning/Computer Vision - Learning from limited labels, Machine Learning Group at UiT The Arctic University of Norway Message-ID: PhD position in Machine Learning/Computer Vision - Learning from limited labels, Machine Learning Group at UiT The Arctic University of Norway. We are seeking a PhD Fellow to take an active role in the group's research on developing novel machine learning/computer vision methodology. Special focus in this project will be on developing novel approaches for learning from limited labeled data, such as few-shot/zero-shot/semi-supervised /self-supervised learning, domain adaptation, and/or deep clustering. The position will be part of the already ongoing effort to design deep learning methodology for limited labeled data and will synergize well with some of our recent work [1-3]. The successful candidate will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections. For details, please see: https://www.jobbnorge.no/en/available-jobs/job/206309/phd-fellow-in-machine-learning-computer-vision Please contact Michael Kampffmeyer (michael.c.kampffmeyer at uit.no) for more info. [1] Trosten, D. J., L?kse, S., Jenssen, R., & Kampffmeyer, M. (2021). Reconsidering Representation Alignment for Multi-view Clustering. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021. [2] Nguyen, N., L?kse, S., Wickstr?m, K., Kampffmeyer, M., Roverso, D., & Jenssen, R. (2020). SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks. In Proceedings of the European Conference on Computer Vision 2020. [3] Kampffmeyer, M., Chen, Y., Liang, X., Wang, H., Zhang, Y., & Xing, E. P. (2019). Rethinking knowledge graph propagation for zero-shot learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2019. --- Michael Kampffmeyer Associate Professor UiT Machine Learning Group http://machine-learning.uit.no UiT The Arctic University of Norway -------------- next part -------------- An HTML attachment was scrubbed... URL: From perusquia at ieee.org Wed May 26 03:23:36 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Wed, 26 May 2021 08:23:36 +0100 Subject: Connectionists: ACII21 second call for demos Message-ID: ======================================================= Affective Computing and Intelligent Interaction (ACII) 2021 Call for Demos 28 Sep - 1 Oct 2021, Virtual event http://www.acii-conf.net/2021/ ======================================================= Call for Demos Affective Computing aims at the study and development of systems and devices that use emotion, in particular in human-computer and human-robot interaction. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. The biennial gathering of the Association for the Advancement Of Affective Computing?s (AAAC) 2021 Affective Computing and Intelligent Interaction Conference (ACII 2021) is the perfect opportunity to showcase recent technologies, products, and prototypes and to engage with an international community of experts from various corners of social science, computer science, and data science. Demo presenters will benefit from heightened exposure for their work, as well as feedback from many of the most renowned scientists in the field. Demos are also an excellent opportunity to find beta testers and other collaborators. Two-page extended abstracts will be published in the conference proceedings for all accepted demos. Important Dates ? Paper submission deadline: 24 June, 2021 ? Notification of acceptance: 5 July, 2021 ? Camera-ready paper: 12 July, 2021 Submission Instructions Theme for 2021 We strongly encourage the submission of demos that align with the ACII 2021 theme of Ethical Affective Computing. Thus, special consideration will be provided for demos that focus on the consideration of ethical uses, fairness, and bias in emotional AI. We welcome submissions from academic researchers, companies, and startups in domains ranging from entertainment and marketing to education and healthcare. Requirements Submissions of demonstrations of research prototypes and innovative commercial products related to applications of affective computing and intelligent interaction are welcome. Since ACII 2021 is going to be a fully virtual conference, demonstrations will be accepted in three formats: live demos, video recordings and slideshows. Evaluation Criteria Each demo paper will be reviewed and selected based on its scientific contribution, originality and innovation, social impact, potential for widespread use, and relevance to topics of ACII. Demo papers should include detailed technical explanations of the methods used. Similar demos will be grouped together in order to maximize the visibility of the presenters and their technologies. What to Submit The submission materials should be combined into a single document including the following: ? A two-page (+ one additional page for references) extended abstract to be published in the ACII 2021 proceedings in the conference paper format (LaTeX/Word templates). The abstract should include (1) a brief background introduction and description of the system, (2) a summary of the technical contributions of the system, and (3) results of a formal evaluation or an experiment to be conducted during the demo (if applicable). ? A URL link to a video recording or screenshots demonstrating how the system works. The demo papers submission process will be handled through the EasyChair system (https://easychair.org/conferences/?conf=acii2021). Please note that the demo presenters must be registered for the conference. Contacts Please forward any questions about demo submissions to the Demo Chairs: Shaun Canavan and Kalin Stefanov. -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Tue May 25 10:54:36 2021 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 25 May 2021 16:54:36 +0200 Subject: Connectionists: Post-doctoral position (18 to 24 months) at INRAE - UMR TETIS, Montpellier, France Message-ID: *Topic * Spatio-Temporal analysis of epidemiological events on complex networks issued from large volumes of heterogeneous data *Keywords * Complex networks, network analysis, multi-scale, spatio-temporal resolution, heterogeneous data *Context * In recent years, the amount of data generated on human and animal health events has increased significantly. Epidemiologists must therefore regularly analyze these data with various spatial and temporal resolutions. The proposed postdoc contract is part of the H2020 MOOD project "Monitoring Outbreak events for Disease surveillance in a data science context" ( https://mood-h2020.eu), which brings together 25 partners from 10 countries. This project is led by CIRAD (UMR ASTRE) and aims at improving the detection, monitoring and evaluation of emerging infectious diseases in Europe by using advanced data science techniques on massive multisource data. The work package 3 "data ingestion and integration" is centered on the linking of heterogeneous data collected and processed in the context of the MOOD project. These data are heterogeneous in terms of domain (e.g., medical, environmental, social) and in terms of format (e.g., textual data, satellite imagery, multivariate quantitative data), and can be originated by both official (e.g., medical institutes, scientific laboratories) and unofficial (e.g., newspapers, social media) sources. By consequence, this diversity is also reflected in the spatial and temporal scales of the data. More precisely, in the context of this post-doc, we are interested in modeling information about epidemiological events (detected from various data sources that are syntactically and semantically heterogeneous) into complex networks models that can allow advanced spatio-temporal analyses. *Methodology* The postdoc is focused on the possibility to model the heterogeneous data collected and processed in the context of the MOOD project into advanced complex network models, i.e., networks that integrate spatial and temporal information about the data. The objective is twofold: (i) to show how heterogeneous data about an epidemiological event can be integrated, aggregated and analyzed into complex network models in order to allow an analysis of the complex spatio-temporal phenomena that characterize the life cycle of an epidemic, and (ii) to define original networks analysis and data science techniques in order fully exploit the information modeled in such spatio-temporal networks. The research question at the center of this postdoc can be formulated as follows: How can we relate spatio-temporal information from epidemic-related data in order to have a spatio-temporal analysis framework in the One Health context? More precisely, we wish to propose generic methods to link and aggregate information from heterogeneous sources (in particular official and unofficial sources) into feature-rich networks able to embed spatio-temporal features, that will allow to analyze the life cycle of an epidemic according to its spatial and temporal evolution. The final aim is then to bring new knowledge to experts, that will represent a precious complement to the classic source of information already exploited in the project. This spatio-temporal linking process will have to take into account some reliability and quality factors associated with the different descriptors, i.e., depending on source types and on the confidence of the algorithms in use. *Gross Salary * 2300 to 2900 based on previous professional experience. *Candidate profile* PhD in computer science. Preference will be given to highly motivated candidates with research experience in complex network analysis, heterogeneous data science and data science applied to epidemiology related tasks. *Application instructions:* Qualified applicants are invited to send their application to Maguelonne Teisseire (maguelonne.teisseire at inrae.fr) and Roberto Interdonato ( roberto.interdonato at cirad.fr) as a single pdf file containing a cover letter describing their research background and motivation, a detailed CV and the contact details of up to three referees. *Application deadline:* June 28, 2021 *Interviews for selected candidates* : July 2, 2021 *Bibliography* R. Adderley, P. Seidler, A. Badii, M. Tiemann, F. Neri, M. Raffaelli. Semantic Mining and Analysis of Heterogeneous Data for Novel Intelligence Insights. Proc. of The Fourth International Conference on Advances in Information Mining and Management, IARIA, p.36-40, 2014 Goel R., Sallaberry A., Fadloun S., Roche M., Valentin S., Poncelet P. EpidNews: An epidemiological news explorer for monitoring animal diseases. In : Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI 2018), V?xj?, Su?de, Ao?t 2018. P. Cimiano, L. Schmidt-Thieme, A. Pivk, S. Staab. Buchtitel: Learning Taxonomic Relations from Heterogeneous Evidence. Proc. of the ECAI 2004 Ontology Learning and Population Workshop, 2004 A. Henriksson, J. Zhao, H. Bostr?m, H. Dalianis. Modeling Heterogeneous Clinical Sequence Data in Semantic Space for Adverse Drug Event Detection. Proc. of IEEE Int. Conf. on Data Science and Adv. Analytics, 2015 Roberto Interdonato, Raffaele Gaetano, Danny Lo Seen, Mathieu Roche, Giuseppe Scarpa: Extracting multilayer networks from Sentinel-2 satellite image time series. Netw. Sci. 8(S1): S26-S42 (2020) Roberto Interdonato, Matteo Magnani, Diego Perna, Andrea Tagarelli, Davide Vega: Multilayer network simplification: Approaches, models and methods. Comput. Sci. Rev. 36: 100246 (2020) Roberto Interdonato, Martin Atzmueller, Sabrina Gaito, Rushed Kanawati, Christine Largeron, Alessandra Sala: Feature-rich networks: going beyond complex network topologies. Appl. Netw. Sci. 4(1): 4:1-4:13 (2019) Matteo Magnani, Obaida Hanteer, Roberto Interdonato, Luca Rossi, and Andrea Tagarelli. Commu- nity detection in multiplex networks. CoRR, abs/1910.07646, 2021. *(to appear on ACM Computing Surveys)* -------------- next part -------------- An HTML attachment was scrubbed... URL: From jschwab at uni-osnabrueck.de Wed May 26 12:26:52 2021 From: jschwab at uni-osnabrueck.de (Juliane Schwab) Date: Wed, 26 May 2021 18:26:52 +0200 Subject: Connectionists: [CFP] Call for abstracts: Computational Cognition workshop (COMCO 2021) Message-ID: <0ed8d0a2-ddd6-912b-8813-dc67f4fe3bdc@uni-osnabrueck.de> We are pleased to announce the 2nd "Computational Cognition" workshop, hosted by the DFG-funded Research Training Group by the same name at the Institute of Cognitive, Osnabr?ck University (Germany). The workshop will be held remotely on September 23 ? 24, 2021. In this workshop, we pursue to (re-)integrate research from areas concerned with low- and high-level cognition. Much is understood regarding the neural signals underlying basic sensorimotor processes, as well as the cognitive processes involved in reasoning, problem solving, and language. However, understanding how high-level cognition can arise from low-level mechanisms is a long-standing open problem in cognitive science. Artificial intelligence has recently made great progress on many cognitive tasks using (deep) neural networks. At the same time, cognitive scientists have explored similar ideas, such as predictive coding for unified neural theories of learning. Thus, by bringing together ideas from cognitive science and Al we hope to generate new insights into human and machine intelligence alike. ***Confirmed invited speakers*** Jacob Andreas (MIT), Richard Baraniuk (Rice University), Tom Griffiths (Princeton University), Andrea E. Martin (Max Planck Institute for Psycholinguistics), Claire Sergent (Universit? de Paris), Agnieszka Wykowska (Istituto Italiano di Tecnologia) *****Call for abstracts***** We invite abstracts for papers from all areas of cognitive science. Submissions should have a strong computational focus, and may concern research questions in low- or high-level cognition. Topics include but are not limited to? -Computational neuroscience -Artificial intelligence -Mathematical and computational models of higher-order cognition (e.g., language, decision making, inference) -Mathematical and computational models of low-level cognition (e.g., signal processing, semantic classification) -Natural language processing and computational models of language -Machine learning and Deep Learning -Empirical studies conducted in relation to either of the above Abstracts should be submitted anonymously. The main text should not exceed one A4 page (12pt font, 2.54 cm/1 inch margins), with an optional second page for additional materials such as tables, figures, and references. Abstracts can be considered for a 30-minute talk or poster. Please indicate when submitting whether you would like the abstract to be considered for a talk, poster, or both. To do so, add the labels "talk", "poster", or "talk/poster" to the title in the submission form (e.g., title: "My first submission (talk/poster)"). The deadline for submission is June 30, 2021 (11:59 pm CEST). We expect to notify authors of the decision by early August 2021. You may submit your abstracts here: https://easychair.org/conferences/?conf=comco2021 Further information is available on the conference website: https://comco2021.uni-osnabrueck.de/ For any inquiries please contact: comco at uni-osnabrueck.de Kind regards The COMCO 2021 organizing committee Michael Marino, Xenia Ohmer, Gabriela Pipa, and Juliane Schwab -- -- Juliane Schwab, M.Sc. RTG Computational Cognition Research Group Psycho- and Neurolinguistics Osnabr?ck University Institute of Cognitive Science Wachsbleiche 27 49090 Osnabr?ck Germany office: 50/104 email: jschwab at uos.de phone: +49-541-969-2247 From wiegandrp at winthrop.edu Wed May 26 12:55:28 2021 From: wiegandrp at winthrop.edu (Wiegand, Rudolf Paul) Date: Wed, 26 May 2021 16:55:28 +0000 Subject: Connectionists: Special Issue "Big Data Visualization" Message-ID: Please note that the submission deadline for the special issue on "Big Data Visualization" in the International Journal on Human Computer Interaction (IJHCI) has been extended to August 31, 2021. See http://bit.ly/Big_Data_Visualization for additional details. We hope that the new timeline will give some needed flexibility to authors to complete the work for submission. Sincerely, Sumanta Pattanaik and Paul Wiegand Special Editors, IJHCI Special Issue on Big Data Visualization From miguel-areias at dcc.fc.up.pt Wed May 26 14:49:34 2021 From: miguel-areias at dcc.fc.up.pt (Miguel Areias) Date: Wed, 26 May 2021 19:49:34 +0100 Subject: Connectionists: Call For Short Papers - 37th International Conference on Logic Programming (ICLP 2021) Message-ID: <3c96a7ae-62a0-6ed8-f726-05b940dd2c73@dcc.fc.up.pt> ========================================================================= ????????????????????????? CALL FOR SHORT PAPERS ??? The 37th International Conference on Logic Programming (ICLP 2021) ========================================================================= We are pleased to announce our distinguished invited speakers. ** William W. Cohen, Google AI ** John Hooker, CMU ** Phokion Kolaitis, UC Santa Cruz and IBM Almaden ** Stuart Russell, UC Berkeley ** Jeffrey Ullman, Stanford University ========================================================================= Contributions are sought in all areas of logic programming, including but not restricted to: ** Foundations: Semantics, Formalisms, Nonmonotonic reasoning, ?? Knowledge representation. ** Languages issues: Concurrency, Objects, Coordination, Mobility, ?? Higher order, Types, Modes, Assertions, Modules, Meta-programming, ?? Logic-based domain-specific languages, Programming techniques. ** Programming support: Program analysis, Transformation, Validation, ?? Verification, Debugging, Profiling, Testing, Execution ?? visualization. ** Implementation: Compilation, Virtual machines, Memory management, ?? Parallel/distributed execution, Constraint handling rules, Tabling, ?? Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and coinductive logic ?? programming, Constraint logic programming, Answer set programming, ?? Interaction with SAT, SMT and CSP solvers, Theorem proving, ?? Argumentation, Probabilistic programming, Machine learning. ** Applications: Databases, Big data, Data integration and federation, ?? Software engineering, Natural language processing, Web and semantic ?? web, Agents, Artificial intelligence, Computational life sciences, ?? Cybersecurity, Robotics, Education. Important Dates *************** ** Short Paper Submission: July 4, 2021 ** Notification: July 30, 2021 ** Camera-ready copy due: August 10, 2021 ** Conference: September 20--27, 2021 Submission Details ****************** Expected submissions must follow the instructions: ** Short papers (7 pages in EPTCS format (http://info.eptcs.org/), ?? including references) can describe published research. ?? The accepted short papers that describe original and previously ?? unpublished work will be published as technical communications, ?? along with the selected ICLP technical communications papers. ?? The accepted short papers that describe published research will be ?? made available at the conference webpage, with the permission of ?? the authors. All submissions must be written in English. Accepted technical communications will be presented during the conference. Authors of accepted technical communications will, by default, be automatically included in the list of ALP members, who will receive quarterly updates from the Logic Programming Newsletter at no cost. Submissions will be done via EasyChair. The submission Web page for ICLP2021 is https://easychair.org/conferences/?conf=iclp2021 More details ************ https://iclp2021.dcc.fc.up.pt Any additional question can be directed towards ICLP Chairs: iclp2021 at easychair.org ========================================================================= From filippombianchi at gmail.com Wed May 26 16:08:40 2021 From: filippombianchi at gmail.com (filippo bianchi) Date: Wed, 26 May 2021 22:08:40 +0200 Subject: Connectionists: PhD position in Machine Learning and Statistics Message-ID: We are seeking a PhD Fellow that will: - Develop new statistical and machine learning methodologies to study dynamical processes that evolve both over time and space. - Apply the new methodologies to tackle energy analytics applications such as: energy load forecasting, anomalies and fault detection, optimization of the power flows on the energy grid. The methodological part will focus on the design of models to process data represented as time series and / or graphs to perform inference tasks, such as prediction and classification. Possible research directions are: - Develop Graph Neural Networks to model diffusion processes over a complex network or, in general, to predict the evolution of dynamically interacting systems; - Couple non-linear time series analysis and Bayesian inference to design novel Recurrent and Convolutional Neural Network architectures; - Exploit random matrix theory and matrix sampling to compute similarities between time series and graphs; - Develop deep learning architectures for graphs to solve combinatorial optimization problems, such as cluster assignment, set cover, and routing. The PhD student will join the Statistics and Complex System Modeling groups at the Mathematics and Statistics Department at UiT. More information are available at: https://www.jobbnorge.no/en/available-jobs/job/206271/phd-fellow-in-statistics-and-machine-learning -------------- next part -------------- An HTML attachment was scrubbed... URL: From darmeshi at gmail.com Wed May 26 11:26:01 2021 From: darmeshi at gmail.com (Dar Meshi) Date: Wed, 26 May 2021 11:26:01 -0400 Subject: Connectionists: Postdoc position at Michigan State University Message-ID: Dr. Dar Meshi in the College of Communication Arts and Sciences at Michigan State University is seeking a postdoctoral researcher for a 2-year appointment starting in Fall or Winter 2021. The postdoctoral researcher will spearhead an fMRI project investigating how the human brain processes information in an urban environment. This position is part of a broad, multi-center initiative titled eMotional Cities, which was recently funded by the European Commission?s Horizon 2020 program. The overall goal of this project is to characterize the intensity and complexity of urban health challenges and inequalities. The postdoctoral researcher will have the freedom to develop their own studies and collaborate with other researchers in the lab, while devoting approximately two-thirds of their effort to supporting the eMotional Cities project. This position involves: - Designing fMRI and behavioral experiments - Managing data collection - Analyzing data - Preparing manuscripts for publication - Assisting and supervising the work of other lab members. This position provides a transition to career independence by honing professional skills, an individualized mentoring plan to support training goals, and publication of research during the appointment period. Minimum Requirements: - Doctoral degree in psychology, neuroscience, or related fields - Experience in designing behavioral and fMRI experiments - Experience in statistics and analyzing fMRI data (e.g., FSL, SPM, etc.) - Experience in programming (e.g., MATLAB, Python, etc.) - Excellent organizational, interpersonal, and communication skills Required Application Materials: Applications should include: (1) a cover letter indicating research experience, qualifications, and career goals, (2) a curriculum vita, and (3) names and contact information for three professional references. Review of applications will begin immediately and continue until the position is filled. For more information, please contact Dar Meshi at darmeshi(at)msu.edu. To apply: https://careers.msu.edu/en-us/job/506616/research-associatefixed-term MSU is an affirmative action, equal opportunity employer. MSU is committed to achieving excellence through cultural diversity. The university actively encourages applications and/or nominations of women, persons of color, veterans and persons with disabilities. ----- Dar Meshi, Ph.D. (he/him) Assistant Professor, Department of Advertising + Public Relations Faculty Member, Neuroscience Program Michigan State University Phone: 517-355-1282 Website: Social & Media Neuroscience Lab -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Thu May 27 04:29:38 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Thu, 27 May 2021 10:29:38 +0200 Subject: Connectionists: [CFP] 1st International Workshop on Ontology Uses and Contribution to Artificial Intelligence Message-ID: Dear colleagues and researchers, Please consider submitting a paper for the 1st International workshop on "Ontology Uses and Contribution to Artificial Intelligence" which will be held online or in Hanoi, Vietnam - November 6-12, 2021. ***** OnUCAI - CALL FOR PAPERS **** * *Ontology Uses and Contribution to Artificial Intelligence* * 1st International Workshop, in conjunction with *KR 2021 * November 6-12, 2021 - Online or in Hanoi, Vietnam* https://sites.google.com/view/ onucai-kr2021 ** Important dates ** - *Workshop paper submission due: *July 02, 2021 - *Workshop paper notifications: *August 06, 2021 - *Workshop paper camera-ready versions due: *September 06, 2021 - *Workshop registration deadline: *TBA - *Workshop: *November 06-12, 2021 All deadlines are 23:59 anywhere on earth (UTC-12) ** Workshop description ** An ontology is well known to be the best way to represent knowledge in a domain of interest. It is defined by Gruber as ?an explicit specification of a conceptualization?. It allows us to represent explicitly and formally existing entities, their relationships and their constraints in an application domain. This representation is the most suitable and beneficial way to solve many challenging problems related to the information domain (e.g., knowledge representation, knowledge sharing, knowledge reusing, automated reasoning, knowledge capitalizing and ensuring semantic interoperability among heterogeneous systems). Using ontology has many advantages, among them we can cite ontology reusing, reasoning and explanation, commitment and agreement on a domain of discourse, ontology evolution and mapping, etc. As a field of artificial intelligence (AI), ontology aims at representing knowledge based on declarative and symbolic formalization. Combining this symbolic field with computational fields of IA such as Machine Learning (ML), Deep Learning (DL), Probabilistic Graphical Models (PGMs), Computer Vision (CV) and Natural Languages Processing (NLP) is a promising association. Indeed, ontological modeling plays a vital role to help AI reducing the complexity of the studied domain and organizing information inside it. It broadens AI?s scope allowing it to include any data type as it supports unstructured, semi-structured, or structured data format which enables smoother data integration. The ontology also assists AI for interpretation process, learning, enrichment, prediction, semantic disambiguation and discovering of complex inferences. Finally, the ultimate goal of ontologies is the ability to be integrated in a software to make sense of all information. In the last decade, ontologies are increasingly being used to provide background knowledge for several AI domains in different sectors (e.g. energy, transport, health, banking and insurance, etc.). Some of these AI domains are: - Machine learning and deep learning: semantic data selection, semantic data pre-processing, semantic data transformation, semantic data prediction, semantic clustering correction of the outputs, semantic enrichment with ontological concepts, use the semantic structure for promoting distance measure, etc. - Probabilistic Graphical Models: learning PGM (structure or parameters) using ontologies, probabilistic semantic reasoning, semantic causality and probability, etc. - Computer Vision: semantic image processing, semantic image classification, semantic object recognition/classification, etc. - Blockchain: semantic transactions, interoperable blockchain systems, etc. - Natural Language Processing: semantic text mining, semantic text classification, semantic role labelling, semantic machine translation, semantic question answering, ontology based text summarizing, semantic recommendation systems, etc. - Robotics: semantic task composition, task assignment, communication, cooperation and coordination, etc. - Voice-video-speech: semantic voice recognition, semantic speech annotation, etc. - Game Theory: semantic definition of specific games, semantic rules and goals definition, etc. - etc. ** Objective ** This workshop aims at highlighting recent and future advances on the role of ontologies and knowledge graphs in different domains of AI and how it can be used in order to reduce the semantic gap between the data, applications, machine learning process, etc., in order to obtain a semantic-aware approaches. In addition, the goal of this workshop is to bring together an area for experts from industry, science and academia to exchange ideas and discuss results of on-going research in ontologies and AI approaches. We invite the submission of original works that is related -- but are not limited to -- the topics below. ** Topics of interests ** - Ontology for Machine Learning/Deep Learning - Ontology for Probabilistic Graphical Models - Ontology for Federated Machine Learning - Ontology for Smart Contracts - Ontology for Computer Vision - Ontology for Natural Language Processing - Ontology for Robotics and Multi-agent Systems - Ontology for Voice-video-speech - Ontology for Game Theory - and so on. ** Submission * * The workshop is open to submit unpublished work resulting from research that presents original scientific results, methodological aspects, concepts and approaches. All submissions are not anonymous and must be PDF documents written in English and formatted using the following style files: *KR2021_authors_kit * Papers are to be submitted through the workshop's *EasyChair * submission page. We welcome the following types of contributions: - *Full papers* of up to 9 pages, including abstract, figures and appendices (if any), but excluding references and acknowledgements: Finished or consolidated R&D works, to be included in one of the Workshop topics. - *Short papers* of up to 4 pages, excluding references and acknowledgements: Ongoing works with relevant preliminary results, opened to discussion. At least one author of each accepted paper must register for the workshop, in order to present the paper. For further instructions, please refer to the *KR 2021 * page. ** Workshop chairs ** - Sarra Ben Abb?s, Engie, France - Lynda Temal, Engie, France - Nada Mimouni, CNAM, France - Ahmed Mabrouk, Engie, France - Philippe Calvez, Engie, France ** Program Committee ** - Shridhar Devamane, Physical Design Engineer, Tecsec Technologies, Bangalore, India **Publication* The best papers from this workshop may be included in the supplementary proceedings of KR 2021. -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.dorrn at fz-juelich.de Thu May 27 05:09:20 2021 From: a.dorrn at fz-juelich.de (Anja Dorrn) Date: Thu, 27 May 2021 11:09:20 +0200 Subject: Connectionists: Bernstein Conference 2021 - call for abstracts Message-ID: <6464a8be-5bad-339b-9ae4-c6744007e69f@fz-juelich.de> 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. Due to the ongoing pandemic the Bernstein Conference will be held online. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 21-23, 2021 * Abstract submission open: June 1, 2021 * Deadline for submission of abstracts to be considered for Contributed Talks: July 1, 2021 * Deadline for abstract submission: August 3, 2021 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Abstract submission will open on June 1. Further information can be found here: https://bit.ly/BC21_abstracts ____ INVITED SPEAKERS Keynote Timothy Behrens (University of Oxford, UK) Invited Talks Athena Akrami (University College London, UK) Nadine Gogolla (Max Planck Institute for Neurobiology, Martinsried, Germany) Guillaume Hennequin (University of Cambridge, UK) Jennifer Li & Drew Robson (Max Planck Institute for Biological Cybernetics, T?bingen, Germany) Scott Lindermann (Stanford University, USA) Ashok Litwin-Kumar (Columbia University, New York City, USA) Ida Momennejad (Microsoft Research, New York City, USA) Cristina Savin (New York University, USA) Marion Silies (Johannes Gutenberg University, Mainz, Germany) Daniela Vallentin (Max Planck Institute for Ornithology, Seewiesen, Germany) ____ CONFERENCE COMMITTEE Christian Leibold (Conference Chair) Julijana Gjiorgjieva (Program Chair) Christian Machens (Program Vice Chair) Marion Silies (Workshop Chair) Moritz Helias (Workshop Vice Chair) & Matthew Botvinick, Megan Carey, Peter Dayan, Brent Doiron, Rainer Friedrich, Ann Hermundstad, Srdjan Ostojic, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference at fz-juelich.de -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 web: www.bernstein-network.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessio.ferone at uniparthenope.it Thu May 27 10:16:24 2021 From: alessio.ferone at uniparthenope.it (ALESSIO FERONE) Date: Thu, 27 May 2021 14:16:24 +0000 Subject: Connectionists: [CfP] Workshop WILF 2021 (13th International Workshop on Fuzzy Logic and Applications) Message-ID: ... Apologize for multiple posting ... Back together again! ------------------------------------------------------------------- Workshop WILF 2021 (13th International Workshop on Fuzzy Logic and Applications) from Dec. 20th to Dec. 22th at Vietri sul Mare (SA), Italy (IIASS) and online Full CfP at https://sites.google.com/view/wilf-2021/home ------------------------------------------------------------------- Important Dates Paper submission: July 30, 2021 Notification of acceptance + early registration opening: October 29, 2021 Aim and Scope The 13th International Workshop on Fuzzy Logic and Applications (WILF 2021) covers all topics in theoretical, experimental and applied Fuzzy and Computational Intelligence techniques and systems. It is aimed to bring together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances in this field, and to demonstrate the state-of-the-art systems. Three types of talks The main aim of WILF 2021 is to allow scientific communication and fruitful exchange of opinions. A lightweight approach is adopted to foster participation and promote the exchange of ideas. To provide room for discussing present, past and future research topics, the following types of talks are called for: * Regular communications - Current, unpublished work that is being presented for the first time. * Ideas - New research directions, opinions, position talks: promising or interesting work that does not fit the standards for conventional publication. * Research highlights - Talks summarising work that was recently (3 years) published in prominent journals, intended to increase awareness about interesting work. Publication * Short-form papers for all presentations will be published in a volume of CEUR Workshop Proceedings in the AI*IA proceedings series (http://ceur-ws.org/aixia.html). * Special issues of high-rank journals will be organised as a follow-up for possible submission of full papers on the topics of the workshop. EUSFLAT Student grants EUSFLAT will provide four students with a 150? grant. Contact wilf.2021.vsm at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From uwe.aickelin at unimelb.edu.au Fri May 28 01:18:56 2021 From: uwe.aickelin at unimelb.edu.au (Uwe Aickelin) Date: Fri, 28 May 2021 05:18:56 +0000 Subject: Connectionists: 3 Postdoc Research Fellow Vacacnies in Optimisation Message-ID: We are looking for 3 Postdoc Research Fellows in Optimisation for our joint Science-IT ARC ITTTC OPTIMA at the University of Melbourne. Each Research Fellow is expected to conduct world-class research and provide training for research students working in industrial optimisation. A multidisciplinary approach is expected, drawing from techniques developed in mathematics, computer science, statistics, engineering, and economics. More details: http://jobs.unimelb.edu.au/caw/en/job/904801/optima-postdoctoral-research-fellow Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect ? 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin at unimelb.edu.au http://aickelin.com/ | http://linkedin.com/in/aickelin [A close up of a sign Description automatically generated] [Join R U OK?Day | R U OK?] I acknowledge the Traditional Owners of the land on which I work, and pay my respects to the Elders, past and present. This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error, please delete it and notify us by return email. CRICOS: 00116K -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 20420 bytes Desc: image001.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 33349 bytes Desc: image002.png URL: From S.Qiu-1 at tudelft.nl Fri May 28 06:04:44 2021 From: S.Qiu-1 at tudelft.nl (Sihang Qiu - EWI) Date: Fri, 28 May 2021 10:04:44 +0000 Subject: Connectionists: BHCC 2021 - Call for Contributions Message-ID: Third Symposium on Biases in Human Computation and Crowdsourcing 10 - 12 November 2021, Delft, Netherlands (Online) Organized by TU Delft, CHI Nederland, and the Academic Fringe Festival --- Apologies for cross-posting --- Website: https://www.bhcc-symposium.com/ *Overview* The goal of this symposium is to analyse both existing human biases in hybrid systems, and methods to manage bias via crowdsourcing and human computation. We will discuss different types of biases, measures and methods to track bias, as well as methodologies to prevent and solve bias. We welcome the submission of research papers and abstracts which describe original work that has not been submitted or currently under review, has not been previously published nor accepted for publication elsewhere, in any other journal or conference. We welcome the submission of the following types of contributions: - Full papers should be at most 10 pages in length (including figures, tables, appendices, and references), - Short papers should be at most 5 pages in length (including figures, tables, appendices, and references), - Abstracts should contain just a title and the abstract, and should detail demos or relevant work or ideas which are under development. They can not contain references. More details: https://www.bhcc-symposium.com/submission *Important Dates* Time zone: Anywhere on Earth (AoE) - Full Papers and Short papers due: 26 August 2021 - Abstracts due: 2 September 2021 - Notifications: 22 October 2021 - Conference: 10-12 November 2021 *Submission* We implement a double-blind review process. Submissions must be anonymous and the submission must be made via EasyChair: https://easychair.org/conferences/?conf=bhcc2021 We are committed to create an equal opportunity environment, without regard to race, gender identity or expression, age, disability, or any other status. For this reason, if you feel that you are in a disadvantaged situation or you require assistance please reach out to us (bhcc2021 at easychair.org). We?ll be more than happy to help and allow everyone to submit a paper. We are keen to create a fair working environment for the crowd workers and annotators. For this reason, each submission should clearly state the policies implemented to pursue this aim; each paper should be clear about the amount of work required for an annotator to submit the task, the payment, the time spent by the annotators to finish the task, and all the relevant details aimed at making clear that workers and annotators obtained a fair compensation and treatment for their work. From marinella.petrocchi at iit.cnr.it Fri May 28 06:36:05 2021 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Fri, 28 May 2021 12:36:05 +0200 Subject: Connectionists: SACMAT approaching! -- ACM Symposium on Access Control Models and Technologies -- SACMAT 2021 Message-ID: Apologies for cross-posting ---- ACM Symposium on Access Control Models and Technologies -- SACMAT 2021 June 16-18, 2021, Barcelona, Spain http://sacmat.dista.uninsubria.it/2021/about.php --- Dear colleagues, the Full Programme is now available online! A rich set of events, regular presentations, 3 invited speakers, 1 experts' panel... Have a look at http://sacmat.dista.uninsubria.it/2021/advance.php Early deadline for registration is May 31, 2021 A taster: Registration fee for students is 5$ !! Join us at SACMAT 2021! -- Marinella Petrocchi Senior Researcher @Institute of Informatics and Telematics (IIT) National Research Council (CNR) Pisa (Italy) Mobile: +39 348 8260773 Skype: m_arinell_a Web: https://marinellapetrocchi.wixsite.com/mysite `Luck is a matter of geography' (Bandabardo') From dwang at cse.ohio-state.edu Fri May 28 15:23:14 2021 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Fri, 28 May 2021 19:23:14 +0000 Subject: Connectionists: NEURAL NETWORKS, June 2021 Message-ID: Neural Networks - Volume 138, June 2021 https://www.journals.elsevier.com/neural-networks A survey on modern trainable activation functions Andrea Apicella, Francesco Donnarumma, Francesco Isgro, Roberto Prevete General stochastic separation theorems with optimal bounds Bogdan Grechuk, Alexander N. Gorban, Ivan Y. Tyukin SAM-GAN: Self-Attention supporting Multi-stage Generative Adversarial Networks for text-to-image synthesis Dunlu Peng, Wuchen Yang, Cong Liu, Shuairui Lu Towards effective deep transfer via attentive feature alignment Zheng Xie, Zhiquan Wen, Yaowei Wang, Qingyao Wu, Mingkui Tan A new recursive least squares-based learning algorithm for spiking neurons Yun Zhang, Hong Qu, Xiaoling Luo, Yi Chen, ... Zefang Li Fading memory echo state networks are universal Lukas Gonon, Juan-Pablo Ortega Paradoxical sensory reactivity induced by functional disconnection in a robot model of neurodevelopmental disorder Hayato Idei, Shingo Murata, Yuichi Yamashita, Tetsuya Ogata Explanation of emotion regulation mechanism of mindfulness using a brain function model Haruka Nakamura, Yoshimasa Tawatsuji, Siyuan Fang, Tatsunori Matsui Unsupervised cross-domain named entity recognition using entity-aware adversarial training Qi Peng, Changmeng Zheng, Yi Cai, Tao Wang, ... Qing Li Self-augmentation: Generalizing deep networks to unseen classes for few-shot learning Jin-Woo Seo, Hong-Gyu Jung, Seong-Whan Lee A proximal neurodynamic model for solving inverse mixed variational inequalities Xingxing Ju, Chuandong Li, Xing He, Gang Feng Small universal spiking neural P systems with dendritic/axonal delays and dendritic trunk/feedback Luis Garcia, Giovanny Sanchez, Eduardo Vazquez, Gerardo Avalos, ... Hector Perez Fast convergence rates of deep neural networks for classification Yongdai Kim, Ilsang Ohn, Dongha Kim Compositional memory in attractor neural networks with one-step learning Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia Recurrent neural network with noise rejection for cyclic motion generation of robotic manipulators Mei Liu, Li He, Bin Hu, Shuai Li -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Fri May 28 11:55:35 2021 From: m.plumbley at surrey.ac.uk (Mark Plumbley) Date: Fri, 28 May 2021 15:55:35 +0000 Subject: Connectionists: JOB: Research Fellow in Machine Learning for Sound Message-ID: Dear Connectionists, We are recruiting for a Research Fellow in Machine Learning for Sound, as part of the project AI for Sound (https://ai4s.surrey.ac.uk/). Please forward the information below to any colleagues who may be interested. I would particularly like to encourage applications from women, disabled and Black, Asian & Minority Ethnic candidates, since these groups are currently underrepresented in our area. Many thanks, Mark ------ Research Fellow in Machine Learning for Sound Location: University of Surrey, Guildford, UK Closing Date: Wednesday 16 June 2021 (23:00 GMT) Applications are invited for a 3-year Research Fellow in Machine Learning for Sound, to work full-time on an EPSRC-funded Fellowship project "AI for Sound" (https://ai4s.surrey.ac.uk/), to start on 1 July 2021 or as soon as possible thereafter. The aim of the project is to undertake research in computational analysis of everyday sounds, in the context of a set of real-world use cases in assisted living in the home, smart buildings, smart cities, and the creative sector. The postholder will be responsible for the core machine learning parts of the project, investigating advanced machine learning methods applied to sound signals. The postholder will be based in the Centre for Vision, Speech and Signal Processing (CVSSP) and work under the direction of PI (EPSRC Fellow) Prof Mark Plumbley. The successful applicant is expected to have a PhD (gained or near completion) in electronic engineering, computer science or a related subject; and research experience in machine learning and audio signal processing. Research experience in one or more of the following is desirable: deep learning; model compression; differential privacy; active learning; audio feature extraction; and publication of research software and/or datasets. CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 170 researchers, a grant portfolio of ?30M (?21M EPSRC) from EPSRC, EU, InnovateUK, charity and industry, and a turnover of ?7M/annum. The Centre has state-of-the-art acoustic capture and analysis facilities and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with over 200 GPUs for deep learning and >1PB of high-speed secure storage. For more information about the posts and how to apply, please visit: https://jobs.surrey.ac.uk/026021 Deadline: Wednesday 16 June 2021 (23:00 GMT) For informal inquiries about the position, please contact Prof Mark Plumbley (m.plumbley at surrey.ac.uk). -- Prof Mark D Plumbley Head of School of Computer Science and Electronic Engineering Email: Head-of-School-CSEE at surrey.ac.uk Professor of Signal Processing University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk PA: Kelly Green Email: k.d.green at surrey.ac.uk From Michiel.Remme at inait.ai Sun May 30 05:50:11 2021 From: Michiel.Remme at inait.ai (Michiel Remme) Date: Sun, 30 May 2021 09:50:11 +0000 Subject: Connectionists: Job opening: Research Scientist - Computational Neuroscience and Machine Learning/AI Message-ID: <247E595A-7634-472D-8D4B-265AB1F3AC9B@inait.ai> Dear Colleagues, Our startup INAIT, based in Lausanne, Switzerland, is seeking a permanent and full-time Research Scientist at the intersection of computational neuroscience and machine learning/AI. Are you interested in developing new machine learning/AI methods based on neuroscientific insights, and apply them to business problems? Then come join us! Major duties and responsibilities: * Contribute to the research and development of the next generation of neuroscience-inspired machine learning/AI methods * Contribute to the development of computational models of detailed and/or simplified neuronal networks * Work closely with a team of computational neuroscientists, machine learning engineers and software developers towards business solutions Essential skills and experience required: * PhD in computational neuroscience or related field (or equal experience: Masters and 4+ years of research experience) * Research involving learning and/or dynamics in rate-based and/or spiking neural networks * Experience in machine learning using frameworks such as scikit-learn, PyTorch or TensorFlow * Successful publication record * Experience in Python code development * Experience using UNIX/Linux operating systems * Excellent team player * Fluent spoken and written English Preferred: * Experience with a computational neuroscience simulation framework such as NEST, NEURON or Brian * Experience in scientific computing on shared and/or distributed parallel machines * Experience in the software development life-cycle including unit testing, continuous integration, version control, debugging and documentation * Successful track record in designing, developing and maintaining software projects Where: Lausanne, Switzerland Start date: As soon as possible Activity rate: 100% Duration of contract: CDI Competitive salary & benefits Cutting edge research, Positive work environment, Hybrid work model (combination of WFH and work from the office) For applications visit apply.workable.com/inait INAIT SA https://www.inait.ai Avenue du Tribunal F?d?ral 34 1005 Lausanne Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From csohler at uni-koeln.de Sat May 29 11:40:08 2021 From: csohler at uni-koeln.de (csohler at uni-koeln.de) Date: Sat, 29 May 2021 17:40:08 +0200 Subject: Connectionists: Professorship in Computer Science (W3) (f/m/d) at University of Cologne Message-ID: <20210529174008.Horde.ZcV9VL-iRaQx_S_TZ8sRE1k@webmail.uni-koeln.de> The University of Cologne is one of the largest and most research-intensive universities in Germany, offering a wide range of subjects. With its six faculties and its interfaculty centres, it offers a broad spectrum of scientific disciplines and internationally outstanding profile areas, supported by the administration with its services. YOUR TASKS In the context of expanding the Division of Computer Science, the Department of Mathematics and Computer Science aims to increase its expertise in the field of information and data science. Possible research topics include, but are not limited to data analytics, machine learning, artificial intelligence, information retrieval, knowledge discovery, and computer vision. YOUR PROFILE We are looking for applicants with an outstanding research and teaching track record in the field of information and data science with successful acquisition of competitive third-party funding. Interdisciplinary applications, e.g., in medicine, science, or industry as well as interactions with existing research topics in the Department of Mathematics and Computer Science are expected. High-performance computing capabilities are available at the Regional Computing Center Cologne (RRZK) and participation in the Center for Data and Simulation Science (CDS) is intended. Furthermore, applicants should actively engage in the expansion of the Division of Computer Science at University of Cologne. Participation in the mathematics, economathematics and the planned Computer Science programs of the department as well as in the offered service courses in the area of computer science is expected. WE OFFER YOU The University of Cologne provides a stimulating academic environment with a wide range of career development opportunities as well as support services for dual career couples and family-friendly working conditions. The position is available at the earliest possible date. Formal requirements are detailed in Section 36 of the Higher Education Act of North Rhine-Westphalia (Hochschulgesetz ? HG NRW). As a rule, the teaching load comprises nine semester hours per week (i.e., two hours per week is one 90-minute course per semester). The University of Cologne is committed to equal opportunities and diversity. Women are especially encouraged to apply and will be considered preferentially in accordance with the Equal Opportunities Act of North Rhine-Westphalia (Landesgleichstellungsgesetz ? LGG NRW). We also expressly welcome applications from people with disabilities / special needs or of equal status. Please submit your application via the University of Cologne?s Academic Job Portal (https://professorships.uni-koeln.de) by July 2, 2021. Your application should be addressed to the Dean of the Faculty of Mathematics and Natural Sciences. Please also provide informative documentation of your research and teaching. From publicity at acsos.org Sat May 29 09:03:05 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Sat, 29 May 2021 15:03:05 +0200 Subject: Connectionists: [Call-for-Papers] ACSOS'21 WORKSHOPS - Consolidated CFP of Workshops at the Conference on Autonomic Computing & Self-Organizing Systems In-Reply-To: References: Message-ID: <25e0cdba-3a88-2d4b-3a5a-5a567c89e4dc@acsos.org> *************************************************** *********** ACSOS 2021 WORKSHOPS - CFP ************ *************************************************** *? 2nd IEEE International Conference on?????????? * *? Autonomic Computing & Self-Organizing Systems? * *???????????????????????????????????????????????? * *? 27 September -- 1 October 2021???????????????? * *? Washington, DC, USA??????????????????????????? * *???????????????????????????????????????????????? * *? http://2021.acsos.org/???????????????????????? * *? https://twitter.com/ACSOSconf????????????????? * *???????????????????????????????????????????????? * *************************************************** *************************************************** The ACSOS will be accompanied by a diverse set of workshops. Workshops will take place before and after the conference. ACSOS features the following Workshops. * Autonomic Management of high-performance Grid and Cloud Computing (AMGCC) ? ? Paper submission deadline: June 30, 2021 * Engineering Collective Adaptive Systems (eCAS) ? ? Paper submission deadline: July 09, 2021 * Self-Aware Computing (SeAC) ? ? Paper submission deadline: July 09, 2021 * Self-Improving Systems Integration (SISSY) ? ? Paper submission deadline: June 14th, 2021 * Self-Organised Construction (SOCO) ? ? Paper submission deadline: June 20, 2021 * Self-Protecting Systems (SPS) ? ? Paper submission deadline: June 14th, 2021 * Ubiquitous and Pervasive Computing for self-organizing systems: software engineering challenges ? ? Paper submission deadline: June 15th, 2021 ### Autonomic Management of high-performance Grid and Cloud Computing (AMGCC) - - Paper submission deadline: June 30, 2021 Grid computing leverages enormous computing resources scattered over the internet in order to integrate and? form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as ?utility computing? where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days. Managing hybrid, virtualized computing resources in a large-scale cloud computing environment, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large-scale federated hybrid computing infrastructure are crucial. In this workshop, we would like to bring researchers around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management. ### Engineering Collective Adaptive Systems (eCAS) - - Paper submission deadline: July 09, 2021 The eCAS?21 workshop focusses on the various aspects of the ?engineering of collective adaptive systems, including ?principles, theories, languages, methodologies, tools, and applications. It especially welcomes contributions related adaptive ?multi-agent systems, coordination of ensembles, collective intelligence ?and decision-making, cooperative problem-solving. Inter-disciplinary ?works are also encouraged. In general, we seek contributions with insights ?as well as practical or theoretical studies supporting the development ?of collective systems (e.g., crowds of augment people, swarms of robots, ?or computational ecosystems) across the various (software-)engineering ?phases (from analysis to deployment). ### Self-Aware Computing (SeAC) - - Paper submission deadline: July 09, 2021 The workshop on self-aware computing (SeAC) provides a forum for ?exchanging ideas and experiences in the interdisciplinary area of ?self-aware computing, fostering interaction and collaborations between ?the different research communities interested in self-aware computing systems. The workshop was initiated by the 2015 Dagstuhl Seminar 15041 on model-driven ?algorithms and architectures for self-aware computing systems, which brought ?together 45 international experts. We seek all types of works concerning ?theory, applications, and evaluation of SeAC systems and related disciplines. ### Self-Improving Systems Integration (SISSY) - - Paper submission deadline: June 14th, 2021 The workshop intends to focus on applying self-X principles to the integration ?of ?Interwoven Systems? (where an ?Interwoven System? is a system cutting ?across several technical domains, combining traditionally engineered systems, ?systems making use of self-X properties and methods, and human systems). The goal of the workshop is to identify key challenges involved in ?creating self-integrating systems and consider methods to achieve ?continuous self-improvement for this integration process. ### Self-Organised Construction (SOCO) - - Paper submission deadline: June 20, 2021 The SOCO workshop is on self-organised construction. Originally inspired by ?nest construction in social insects, the general concept relies on a ?large number of agents that collaborate, coordinating their construction ?efforts. Given a clear focus on a computational perspective, relevant ?research areas include empirical, theoretical, practical, or ?explorative approaches to self-organised construction, maintenance and renovation. In addition to original contributions to this field, we especially would ?like to encourage vision papers, presenting challenges for the future of ?self-organised construction. ### Self-Protecting Systems (SPS) - - Paper submission deadline: June 14th, 2021 Automatically defending a computer system encompasses a large number of ?activities, that range from data capture, management and analysis, ?to automated decision making and automated system operations. In this workshop, we solicit high quality contributions that fit ?with any of the aforementioned activities and/or the overarching idea of ?creating a fully automated protection system. ### Ubiquitous and Pervasive Computing for self-organizing systems: software engineering challenges - - Paper submission deadline: June 15th, 2021 Ubiquitous Computing intends to provide computing and communication services ?anytime and everywhere. Pervasive Computing aims to provide spontaneous services ?created on the fly by mobiles that interact by adhoc connections. Therefore, ?the aim of these paradigms is to move forward computational services ?from conventional mode based on users/computer interactions into a new mode ?based on users/environment interactions. The aim of this workshop is to identify ?new approaches and relevant research activities in the design of agent-based ?architectures, distributed algorithms, emergence and self-Adaptive systems ?for Ubiquitous and Pervasive environments. From franciscocruzhh at gmail.com Mon May 31 04:26:44 2021 From: franciscocruzhh at gmail.com (Francisco Cruz) Date: Mon, 31 May 2021 18:26:44 +1000 Subject: Connectionists: CfP: Workshop on Human Aligned Reinforcement Learning for Autonomous Agents and Robots Message-ID: Call for Papers: ICDL 2021 Workshop: *Human Aligned Reinforcement Learning for Autonomous Agents and Robots* Website: https://harlworkshop.github.io/ Date: August 27th, 2021 Virtual (submission deadline: July 02, 2021) ============================= We invite researchers from the reinforcement learning and robotics community to submit their recent works pertaining to the issue of incorporating human-related aspects into (deep) reinforcement learning agents and robots. The focus of this workshop is to bring together researchers from the fields of robotics and reinforcement learning to discuss and share state-of-the-art methods, challenges and novel solutions pertaining to the issue of incorporating human-related aspects into reinforcement learning agents and robots. We hope to provide an opportunity to discuss fundamental, current issues and future research directions to foster the presence of autonomous agents and robots in real-world scenarios. The main topics of interest are explainability, interactivity, safety, and ethics in social robotics and autonomous agents, especially from a reinforcement learning perspective. In this regard, approaches with special interest for this workshop are (but not limited to): - Explainability, interpretability, and transparency methods for feature-oriented and goal-driven RL - Explainable robotic systems with RL approaches - Assisted and interactive RL in human-robot and human-agent scenarios - Human-in-the-loop RL and applications - RL from demonstrations and imperfect demonstrations - Robot and agent learning from multiple human sources - Multi-robot systems with human collaboration - Safe exploration during learning - Ethical reasoning and moral uncertainty - Fairness in RL and multi-agent systems - Theory of mind based RL frameworks - Use of human priors in RL Submissions must be in PDF, formatted using the IEEE conference style in two columns. We invite submissions of both: - Extended abstracts (up to 2 pages including references) - Full papers (up to 6 pages including references) Selected contributions will be presented during the workshop as spotlight talks and in a poster session. Accepted papers will be uploaded to the workshop website, but are free to appear in other journals or conference proceedings. Contributors to the workshop will be invited to submit extended versions of the manuscripts to a topical collection (special issue) at Neural Computing and Applications (https://www.springer.com/journal/521/updates/19055662). *Key Dates:* Submission Deadline: July 2, 2021 (11:59 pm AOE) Acceptance Notification: July 30, 2021 Camera-ready version: August 12, 2021 (11:59 pm AOE) Workshop: August 27, 2021 *Invited Speakers:* Matthew Taylor, University of Alberta, Canada. Alessandra Sciutti, IIT, Italy. Stefan Wermter, University of Hamburg, Germany. Peter Vamplew, Federation University, Australia. Bradley Knox, Bosch, USA. Benjamin Rosman, University of the Witwatersrand, South Africa. Felipe Leno da Silva, S?o Paulo State University UNESP, Brazil. Jens Kober, Delft University of Technology, The Netherlands. Bruno Fernandes, University of Pernambuco, Brazil. Nicolas Navarro-Guerrero, Aarhus University, Denmark. George Konidaris, Brown University, USA. Richard Dazeley, Deakin University, Australia. *Organizers:* Francisco Cruz (School of Information Technology, Deakin University, Australia) Thommen George Karimpanal (Applied Artificial Intelligence Institute, Deakin University, Australia) Miguel Solis (Facultad de Ingenier?a, Universidad Andr?s Bello, Chile) Pablo Barros (Cognitive Architecture for Collaborative Technologies Unit, Istituto Italiano di Tecnologia, Italy) Richard Dazeley (Machine Intelligence Lab, Deakin University, Australia) From ioannakoroni at csd.auth.gr Mon May 31 04:47:19 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 31 May 2021 11:47:19 +0300 Subject: Connectionists: =?utf-8?q?Live_e-Lecture_by_Prof=2E_Isabelle_Bloc?= =?utf-8?q?h=3A_=E2=80=9CHybrid_AI_for_knowledge_representation_and?= =?utf-8?q?_model-based_medical_image_understanding=E2=80=9D=2C_8th?= =?utf-8?q?_June_2021_17=3A00-18=3A00_CET=2E_Upcoming_AIDA_AI_excel?= =?utf-8?q?lence_lectures?= Message-ID: <03db01d755f9$91765cf0$b46316d0$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Isabelle Bloch (Sorbonne Universit?, France), a prominent AI researcher internationally, will deliver the e-lecture: ?Hybrid AI for knowledge representation and model-based medical image understanding?, on Tuesday 8th June 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/94165524933 & Passcode: 148148 The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE , Humane AI Net , TAILOR , VISION , currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: Prof. Konstantinos N. Plataniotis (University of Toronto, Canada): ?Digital Pathology: On the intersect of Computer Vision and Data Science?, 29th June 2021 17:00 ? 18:00 CET. More lecture infos in: http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Mon May 31 07:06:40 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Mon, 31 May 2021 13:06:40 +0200 Subject: Connectionists: [Call-for-Papers] 6th eCAS workshop on Engineering Collective Adaptive Systems (submission deadline in about a month) In-Reply-To: References: Message-ID: *************************************************** *********** eCAS 2021 - Call For Papers *********** *************************************************** *?????? 6th eCAS Workshop on Engineering????????? * *???????? Collective Adaptive Systems???????????? * *???????????????????????????????????????????????? * *? 27 September -- 1 October 2021???????????????? * *? VIRTUAL (originally Washington, DC, USA)?????? * *???????????????????????????????????????????????? * *? http://ecas2021.apice.unibo.it/??????????????? * *???????????????????????????????????????????????? * *************************************************** *************************************************** Key facts: - the workshop will be held ONLINE, in one half-day between September 27 - October 1, 2021; - submission deadline: July 9, 2021 - accepted papers (2-6 pages) will be included in the ACSOS Companion proceedings (IEEE Xplore DL -- indexed in SCOPUS etc.) eCAS'21 is in conjunction with the 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2021, merger of the former ICAC and SASO conferences): https://2021.acsos.org *************************************************** ***************** Important Dates ***************** *************************************************** ? - Paper submission deadline: *July 9th, 2021* ? - Notification to authors: *June 31th, 2021* ? - Camera ready: *August 20th, 2021* ? - Workshop date: September 27th / October 1st, 2021 All times in Anywhere on Earth (AoE) timezone. *************************************************** *************** Aims and Motivation *************** *************************************************** Modern computing systems tend to be composed of many distributed and heterogeneous entities interacting with one another and with their environment to pursue a variety of goals and functionality. These systems typically operate under continuous perturbations, making manual adjustments and open-loop approaches infeasible, hence requiring self-* features (e.g., self-organisation, self-adaptation, self-configuration...). For a collective system to be resilient, its adaptation must also be collective, in the sense that multiple entities must adapt in a way that addresses critical runtime conditions while preserving the benefits of collaborative interdependencies. Decision-making in such systems is distributed and possibly highly dispersed, and interaction between the entities may lead to the emergence of unexpected phenomena. To engineer such collective adaptive systems (CAS), new approaches for and understanding of collective adaptation are needed, to allow: i) multiple entities to adapt in a coordinated or complementary way, with ii) negotiations or other mechanisms to decide which collective changes are suitable. Collective adaptation also raises a second important challenge: Which parts of the system (things, services, people) should be engaged in an adaptation, and how? This is nontrivial, as multiple solutions to the same problem may be generated at different levels, and individuals in the collective often have partial information. The challenge is to understand these levels and create mechanisms to decide the right scope for an adaptation for a given problem. This workshop solicits papers that address new methodologies, theories, principles, and fundamental understanding, that can be used to underpin the design, operation, and analysis of CASs. Case studies, applications showing such approaches in action, and interdisciplinary work are particularly welcome. Research on CAS engineering can benefit from advances in related areas looking ?beyond individual devices?, including (but not limited to) multi-agent systems, coordination, concurrency theory, self-* systems, collective intelligence, nature-inspired computing, organisational paradigms, and so on. Suggested Topics include (but are not limited to): - Novel theories relating to operating principles of CAS - Novel design principles for building CAS systems - Insights into the short and long-term adaptation of CAS systems - Insights into emergent properties of CAS - Insights into general properties of large scale, distributed CAS - Comparing and analyzing approaches to CAS (e.g., distributed and centralized) - Decision-making approaches in CAS - Methodologies for studying, analyzing, and building CAS - Frameworks for analyzing or developing CAS case studies - Languages, platforms, APIs and other tools for CAS - Scenarios, case studies, and experience reports of CAS in different contexts (e.g., Smart Mobility, Smart Energy/Smart Grid, Smart Buildings, traffic management, emergency response, etc.) *************************************************** ********************** Scope ********************** *************************************************** The workshop is expected to attract participants from many disciplines, including (but not limited to) Autonomic Computing, Biology, Game Theory, Evolutionary Computing, Network Science, Self-Organizing Systems, Pervasive Computing, Collective Intelligence, and to be of interest to anyone working with the domain of large-scale self-adaptive systems. In addition, the European Commission has funded seven scientific projects and a Coordination Action in this area, with projects starting at the beginning of 2013. The proposed workshop provides a natural base for the projects to meet and share ideas, yet we stress that the workshop is in no way limited to this audience, and is likely to have broad appeal to a wide range of researchers. Potential audience members might work in application areas relating to large-scale distributed systems, or may come from any of the many disciplines that can provide insights into the operation and design of such systems. *************************************************** ************* Submission Instructions ************* *************************************************** We solicit the following types of contributions: - Workshop papers, limited to 6 pages, including references: these provide research contributions and should include proper motivation and evaluation. - Position papers, limited to 2 pages, including references: these provide research ideas, should include proper motivation and arguments, but may include only preliminary forms of evaluation. Both workshop papers and position papers will be published on IEEE Xplore in parallel with the main IEEE ACSOS conference proceedings. All contributions should follow IEEE Computer Society Press proceedings style guide and be submitted in PDF format using the Easychair login page: https://easychair.org/conferences/?conf=ecas2021 By submitting, the authors confirm that in case of acceptance, at least one author will present the work at the workshop. All papers will be reviewed by an International Technical Program Committee with a minimum of 3 reviews per paper. Contributions will be peer reviewed for originality, clarity and readability, relevance to themes, soundness, and overall quality. *************************************************** ****************** Registration ******************* *************************************************** All attendees at the workshop must register for ACSOS through the conference website: https://2021.acsos.org *************************************************** **************** Workshop Format ****************** *************************************************** We anticipate a half-day workshop comprising the following items: Presentation of the papers, which will be arranged into sessions organized to maximize the chance of interaction and discussion among the participants and the authors. Future Directions & Challenges for CAS: an interactive session at the end of the day to map out the research landscape of CAS. The workshop is structured to promote interaction and collaboration. In the past, discussions have led to joint activities on themes such as CAS and society. --- For more information, please contact the workshop organizers: - Roberto Casadei, Alma Mater Studiorum - Universit? di Bologna, Italy - Lukas Esterle, Aarhus University, Denmark From elisanitamaria at gmail.com Mon May 31 10:24:08 2021 From: elisanitamaria at gmail.com (Elisa Tartaglia) Date: Mon, 31 May 2021 16:24:08 +0200 Subject: Connectionists: PhD offer in Paris/ conditioned by the ANRT/CIFRE successful grant application Message-ID: Hi, Would you please publish the following PhD offer (Vision Neuroscience, EEG, BCI) thanks a lot Elisa Tartaglia -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Offre_CIFRE_Essilor.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 60054 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Offre_CIFRE_English.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 43629 bytes Desc: not available URL: From miguel-areias at dcc.fc.up.pt Mon May 31 13:36:53 2021 From: miguel-areias at dcc.fc.up.pt (Miguel Areias) Date: Mon, 31 May 2021 18:36:53 +0100 Subject: Connectionists: CFP - 14th Workshop on Answer Set Programming and Other Computing Paradigms (ASPOCP 2021) Message-ID: ========================================================================= ????????????????????????? CALL FOR PAPERS ??????????? ASPOCP 2021: 14th Workshop on Answer Set Programming and ?????????????????????? Other Computing Paradigms ????????????????? https://sites.google.com/site/aspocp2021 ========================================================================= ?? A workshop of 37th International Conference on Logic Programming ?????????????????????? September 20-27, 2021 ???????????????????? (the event will be virtual) ========================================================================= AIMS AND SCOPE ************** Since its introduction in the late 1980s, Answer Set Programming (ASP) has been widely applied to various knowledge-intensive tasks and combinatorial search problems. ASP was found to be closely related to SAT, which led to a new method of computing answer sets using SAT solvers and techniques adapted from SAT. This has been a much studied relationship, and is currently extended towards satisfiability modulo theories (SMT). The relationship of ASP to other computing paradigms, such as constraint satisfaction, quantified Boolean formulas (QBF), Constraint Logic Programming (CLP), first-order logic (FOL), and FO(ID) is also the subject of active research. Consequently, new methods of computing answer sets are being developed based on relationships to these formalisms. Furthermore, the practical applications of ASP also foster work on multi-paradigm problem-solving, and in particular language and solver integration. The most prominent examples in this area currently are the integration of ASP with description logics (in the realm of the Semantic Web) and constraint satisfaction (which recently led to the Constraint Answer Set Programming (CASP) research direction). A large body of general results regarding ASP is available and several efficient ASP solvers have been implemented. However, there are still significant challenges in applying ASP to real life applications, and more interest in relating ASP to other computing paradigms is emerging. This workshop will provide opportunities for researchers to identify these challenges and to exchange ideas for overcoming them. TOPICS Topics of interests include (but are not limited to): ***************************************************** * ASP and classical logic formalisms (SAT/FOL/QBF/SMT/DL). * ASP and constraint programming. * ASP and other logic programming paradigms, e.g., FO(ID). * ASP and other nonmonotonic languages, e.g., action languages. * ASP and external means of computation. * ASP and probabilistic reasoning. * ASP and knowledge compilation. * ASP and machine learning. * New methods of computing answer sets using algorithms or systems of ? other paradigms. * Language extensions to ASP. * ASP and multi-agent systems. * ASP and multi-context systems. * Modularity and ASP. * ASP and argumentation. * Multi-paradigm problem solving involving ASP. * Evaluation and comparison of ASP to other paradigms. * ASP and related paradigms in applications. * Hybridizing ASP with procedural approaches. * Enhanced grounding or beyond grounding. SUBMISSIONS *********** The workshop invites two types of submissions: * papers describing original research, * non-original papers already published on formal proceedings or ? journals. Original papers must not exceed 13 pages (excluding references) and must be formatted using the Springer LNCS style available here. Authors are requested to clearly specify whether their submission is original or not with a footnote on the first page. Authors are invited to submit their manuscripts in PDF via the EasyChair system at the link: https://easychair.org/conferences/?conf=aspocp2021 IMPORTANT DATES *************** * All dates are 'Anywhere on Earth', namely 23:59 UTC-12. * Abstract registration:????? July 1, 2021 * Paper submission:?????????? July 8, 2021 * Notification:?????????????? July 31, 2021 * Camera-ready articles due:? August 10, 2021 PROCEEDINGS *********** Authors of all accepted original contributions can opt to publish their work on formal proceedings. Accepted non-original contributions will be given visibility on the conference web site including a link to the original publication, if already published. A selection of extended and revised versions of accepted papers could appear in a special issue. Extended versions of accepted non-original contributions, if not published in a journal yet, might be included in the issue. LOCATION ******** Virtual WORKSHOP CO-CHAIRS ****************** * Jessica Zangari, Department of Mathematics and Computer Science, ? University of Calabria, Italy ? zangari_AT_mat.unical.it * Markus Hecher, TU Wien, Austria & University of Potsdam, Germany ? hecher_AT_dbai.tuwien.ac.at PROGRAM COMMITTEE ***************** TBA ========================================================================= From Tahrima.Rahman at utdallas.edu Mon May 31 22:38:47 2021 From: Tahrima.Rahman at utdallas.edu (Rahman, Tahrima) Date: Tue, 1 Jun 2021 02:38:47 +0000 Subject: Connectionists: [Deadline Extended] CFP: TPM @ UAI 2021 Message-ID: ***The 4th Workshop on Tractable Probabilistic Modeling (TPM) @ UAI 2021 (online)*** https://sites.google.com/view/tpm2021/home Important Dates * Paper submission deadline extended to: June 4, 2021 AOE (UTC-12:00h) * Notification to authors: July 1, 2021 * Camera-ready version: July 27, 2021 AOE (UTC-12:00h) * * Workshop Date: July 30, 2021 Overview There is an increasing need for probabilistic machine learning (ML) models that are able to deliver probabilistic inference with guarantees (reliability) while allowing to flexibly represent complex real-world scenarios (expressiveness). This edition of the workshop on tractable probabilistic models (TPMs) aims at bringing together researchers working on different fronts of this trade-off between reliable and expressive models in modern probabilistic ML. Recent years have shown how TPMs can achieve such a sensible trade-off in tasks like image classification, completion and generation, activity recognition, language and speech modeling, bioinformatics, verification and diagnosis of physical systems, to name but a few. Examples of TPMs comprise - but are not limited to - i) neural autoregressive models; ii) normalizing flows; iii) bounded-treewidth probabilistic graphical models (PGMs); iv) determinantal point processes; v) PGMs with high girth or weak potentials; vi) exchangeable probabilistic models and models exploiting symmetries and invariances and vii) probabilistic circuits (arithmetic circuits, sum-product networks, probabilistic sentential decision diagrams, cutset networks, etc.). Topics We especially encourage submissions highlighting the challenges and opportunities for tractable inference, including, but not limited to: * New tractable representations in discrete, continuous and hybrid domains, * Learning algorithms for TPMs * Theoretical and empirical analysis of tractable models * Connections between TPM classes * TPMs for responsible, robust and explainable AI * Retrospective works, tutorials, and surveys * Approximate inference algorithms with guarantees * Tractable neuro-symbolic and/or relational modeling * Applications of tractable probabilistic modeling Submission Instructions We invite three types of submissions: * Original research papers: advances in TPM, not previously published in an archival conference or journal. * Recently published research papers: advances in TPM, already published at a recent venue. * Position papers (abstracts): discussing tendencies, issues or future venues of interest for the TPM community. All submissions must be electronic (through the link below), and must closely follow the formatting guidelines at https://sites.google.com/view/tpm2021/call-for-papers. Reviewing for TPM 2021 is single-blind. We recommend that you refer to your prior work in the third person wherever possible. We also encourage links to public repositories such as github to share code and/or data. Submission Link: https://openreview.net/group?id=auai.org/UAI/2021/Workshop/TPM ***Accepted papers will be considered for the best paper award*** Organizers Antonio Vergari (University of California, Los Angeles) Tahrima Rahman (University of Texas, Dallas) Robert Peharz (TU Eindhoven) Alejandro Molina (TU Darmstadt) Pedram Rooshenas (University of North Carolina, Charlotte) Daniel Lowd (University of Oregon) Zoubin Ghahramani (Google AI) For any questions, contact us at tpmwork... at gmail.com ***Please consider sharing this CFP in your network*** -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahidullahmd at gmail.com Mon May 31 11:30:21 2021 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Mon, 31 May 2021 17:30:21 +0200 Subject: Connectionists: ASVspoof 2021 Challenge: Release of the Evaluation Data Message-ID: *Apologies for cross-posting* ====================== Dear list, we are delighted to announce the release of evaluation data for the ASVspoof 2021 challenge. There are three databases, one for each of the three tasks, all available from the Zenodo website: Logical Access: https://zenodo.org/record/4837263 Physical Access: https://zenodo.org/record/4834716 Speech Deepfake: https://zenodo.org/record/4835108 Further details of each database are available in the ASVspoof 2021 challenge evaluation plan which we are in the process of updating. We expect to release a new version early next week. The ASVspoof 2021 challenge will be hosted on CodaLab. https://codalab.org Further details will be communicated to registered participants via this list early next week. Best regards, Sahid On behalf of the ASVspoof 2021 challenge organisers -- Md Sahidullah website: *https://sites.google.com/site/iitkgpsahi/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.kalfat at gmail.com Mon May 31 11:22:40 2021 From: amir.kalfat at gmail.com (Amir Aly) Date: Mon, 31 May 2021 16:22:40 +0100 Subject: Connectionists: [meetings] RSS'21 workshop on Robotics for People (R4P) Message-ID: Dear Colleagues, We are now accepting submissions to the *Robotics for People: Perspectives on Interaction, Learning, and Safety* workshop, to be held at the Robotics: Science and Systems 2021 conference. This is a full-day workshop that aims to bring together experts from the Human-Robot Interaction, Machine Learning, and Motion Planning communities to create a road map for safer, smarter robots. Our workshop accepts *extended abstracts* (2 pgs excluding references) and *short/position papers* (4 pgs excluding references) in IEEE two column format. Papers will undergo a double-blind peer review process, and accepted papers and posters will be hosted on our website. We are a non-archival workshop, meaning we also accept iterations on previous or ongoing work. The workshop will include keynote talks, a panel debate, a poster session, and short talks for accepted papers. Topics for submission include (but are not limited to): - Decision-making under uncertainty and safety-oriented approaches - Safety considerations in uncertain, interactive settings - Safety-critical applications for HRI - Probabilistic models for robot learning - Social navigation - Human-robot collaboration and human behavior modeling - Multi-agent approaches for human-robot teams - Calibrating and estimating uncertainty in learned models - Learning from demonstration - Human-interactive robot learning - Cognitive architectures for interactive robots - HRI datasets, metrics, and benchmarks - Robot-interpretable human models - Explainability, transparency, and interpretability More information is available at our website: https://sites.google.com/view/r4p2021/ **** Important Dates **** Paper Submission: June 20th, 2021, anywhere on Earth Notification of Acceptance: July 1st, 2021, anywhere on Earth Camera-ready Deadline: July 12th, 2021, anywhere on Earth **** Confirmed Speakers ****Yiannis Demiris, Imperial College London, UK Stefanie Tellex, Brown University, USA Dan Bohus, Microsoft AI Research, USA Changliu Liu, Carnegie Mellon University, USA **** Organizing Committee **** *General Chairs:* Matthew Gombolay (Georgia Institute of Technology) Shreyas Kousik (Stanford University) *Program Chairs:* Tesca Fitzgerald (Carnegie Mellon University) Amir Aly (University of Plymouth) *Invited Speaker Chairs:* Kim Baraka (Vrije Universiteit Amsterdam) Filipa Correia (University of Lisbon) *Social Chairs:* Andrea Bajcsy (University of California Berkeley) SiQi Zhou (University of Toronto) David Fridovich-Keil (Stanford University) Angela P. Schoellig (University of Toronto) *Web and Publishing Chairs:* Nakul Gopalan (Georgia Institute of Technology) Ransalu Senanayake (Stanford University) *----------------------* *Dr. Amir Aly* Lecturer in Computer Science Centre for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room B332, Portland Square, Drake Circus, Plymouth PL4 8AA University of Plymouth, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: