From nicholas.cummins at ieee.org Tue Jun 1 05:30:33 2021 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Tue, 1 Jun 2021 10:30:33 +0100 Subject: Connectionists: UK Healthcare text analytics conference (HealTAC) 2021 - 2nd call for participation + pre-conference tutorials Message-ID: *[Apologies for cross-posting]* ************************************************* * Healthcare Text Analytics Conference HealTAC 2021 June 16-18, 2021 http://healtex.org/healtac-2021/ ************************************************ The HealTAC 2021 organising committee is delighted to invite participation in this year's conference and pre-conference tutorials. 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 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 tutorials is now open! Register here: http://healtex.org/healtac-2021/registration/ *Registration fees:* - Non-students: ?10 - Students: Free *Dates:* - Tutorials: 16 June - Main conference:17 & 18 June *Tutorials: * *MedCAT/CogStack (12:30-14:30)* This session will introduce the MedCAT/CogStack framework , which is a stack of software that facilitates user-friendly concept annotation and information extraction from clinical text. The tutorial will start by describing different components of the software, and finish with an application of a text mining model to data. *Exploring Text-derived Patient Phenotype Profiles (15:00-17:00)* This tutorial will introduce Komenti , and discuss the construction and use of text-derived patient phenotype profiles. This will consist in learning definitions, building phenotype profiles from clinical text, and using semantic methods to employ these profiles for ranking/classification outcomes, e.g. differential diagnosis. *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), who will talk about the "Opportunities, challenges and progress in longitudinal natural language processing for mental health" HealTAC 2021 is happy to be sponsored by Frontiers . -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Tue Jun 1 11:06:25 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Tue, 1 Jun 2021 17:06:25 +0200 Subject: Connectionists: Call for POSITION PAPERS; FedCSIS 2021 (all events); FedCSIS is ranked B in CORE 2021; IEEE #52320; deadline: June 14th, 2021, 23:59 UCT In-Reply-To: References: Message-ID: CALL FOR POSITION PAPERS 16th Conference on Computer Science and Intelligence Systems (FedCSIS?2021) Online, 2-5 September, 2021 www.fedcsis.org Strict submission deadline: June 14th, 2021, 23:59 UCT (no extensions) FedCSIS IEEE conference number: #52320 FedCSIS is ranked B in CORE2021 ********************** 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. The FedCSIS 2021 Federated Conference invites submissions of POSITION PAPERS to its respective events. Position papers must not exceed 8 pages and they should relate to an ongoing research or experience. Position papers will be presented by the authors alongside regular papers. Position papers may be also submitted as DEMO PAPERS and presented as demonstrations of software tools and products. They should describe non-for-profit software tools in a prototype-, alpha-, or beta-version. We invite TWO TYPES OF POSITION PAPERS: - EMERGING RESEARCH PAPERS present preliminary research results from work-in-progress based on sound scientific approach but presenting work not completely validated as yet. They must describe precisely the research problem and its rationale. They must also define the intended future work including the expected benefits from solution to the tackled problem. - CHALLENGE PAPERS propose and describe research challenges in theory or practice of computer science and information systems. The papers in this category must be based on deep understanding of existing research or industrial problems and should be defining new promising research directions. FedCSIS TRACKS AND TECHNICAL SESSIONS The FedCSIS 2021 consists of five conference Tracks, hosting Technical Sessions, and a Doctoral Symposium: 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 POSITION PAPER SUBMISSION AND PUBLICATION: Position papers will be published as a Volume of the Annals of Computer Science and Information Systems series (https://annals-csis.org/), with an ISBN, ISSN and DOI numbers. The papers will be submitted for indexing to DBLP Computer Science Bibliography and Google Scholar (see, also: https://annals-csis.org/indexation). The Annals-CSIS volume will NOT be placed in the IEEE Digital Library and will NOT be submitted to Clarivate Analytics Web of Science. Authors should submit a position paper in English, carefully checked for correct grammar and spelling, using the on-line submission procedure. The guidelines for paper formatting provided at the conference website ought to be used for all submitted papers. The required submission format is the same as the camera-ready format. Please check, and carefully follow, the instructions and templates provided. Papers that are out of the conference scope of the selected event, or that contain any form of (self)plagiarism will be rejected without reviews. All position papers will be refereed before inclusion in the conference program. IMPORTANT DATES + Position paper submission: 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 ABOUT FedCSIS Conference Series FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and information systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions focused on their scientific and professional interests in computer science and information systems. -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From rbianchi at fei.edu.br Tue Jun 1 12:44:20 2021 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Tue, 1 Jun 2021 16:44:20 +0000 Subject: Connectionists: STIL 2021 - First Call For Papers Message-ID: <91447089-A73A-4F18-A36D-DD6E23841CE3@fei.edu.br> STIL 2021, online event 13th Brazilian Symposium in Information and Human Language Technology November 29th - December 3rd, 2021. >>>> Deadline for paper submissions: August 9th, 2021 <<< STIL is the bi-annual Language Technology event supported by the Brazilian Computer Society (SBC - http://www.sbc.org.br) and by the Brazilian Special Interest Group on Natural Language Processing (CE-PLN - https://sites.google.com/view/ce-pln/inicio). In 2021, STIL will be held as an online event collocated with BRACIS 2021 (The 10th Brazilian Conference on Intelligent Systems), ENIAC 2021 (The 18th National Meeting on Artificial and Computational Intelligence), and KDD-BR2021 (5th Brazilian Competition on Knowledge Discovery In Databases). STIL will feature the following collocated events: the VII Workshop on Portuguese Description (JDP), the VII Student Workshop on Information and Human Language Technology (TILic). The conference is multidisciplinary and covers a broad spectrum of disciplines related to Human Language Technology, such as Linguistics, Computer Science, Psycholinguistics, and Information Science. It aims at bringing together both academic and industrial participants working on those areas. STIL 2021 welcomes research work in human language technology in general (not only applied to Portuguese) in various fields. Topics of interest include, but are not limited to: * Applications of Natural Language Processing * Corpus Linguistics * Discourse Models, Coreference, Dialogue, and Pragmatics * Evaluation Methods for NLP tasks * Information Retrieval, Extraction, Classification * Knowledge Representation and Ontologies for Natural Language * Machine Translation * Morphological Analysis, Parts-of-Speech Tagging, Text Preprocessing * Multilinguality and Multimodality * Natural Language Generation and Summarization * Natural Language Tools and Resources * Neural and Vector Space Models Applied to Natural Language Processing * Phonetics and Phonology applied to Information Technology * Psycholinguistics, Cognitive Modelling and Linguistic Theories applied to NLP * Question Answering * Semantic Representations and Processing * Sentiment Analysis, Opinion and Argument Mining * Spoken Language Processing * Statistical and Corpus-Based Natural Language Processing * Syntactic Representations and Parsing * Syntax and Morphology applied to Information Technology * Terminology, Terminography, Lexicology, Lexicography, Phraseology, Lexical Semantics * Text Inference GUIDELINES FOR PAPER SUBMISSION Language All papers submitted to STIL must be written in English. Length We accept submissions of long and short papers. Long papers should describe complete work with significant results. Short papers may report work in progress, negative results, opinion papers, or application/demo papers. Long papers may have up to eight (8) pages of content (including tables and pictures), additional pages of references, and presented orally. Short papers should have up to four (4) pages of content, additional pages of references, and will be presented as posters. Authors should also indicate whether they accept their long paper to be reallocated as a poster should the reviewers recommend. Format Paper formatting must follow the SBC guidelines available at this address: http://bit.ly/2jFbJTa Reviewing Process All submitted papers will be reviewed by at least two experts in the field. The reviewing process will be double blind and therefore papers should not display any information regarding their authorship in the header or body of the text. Self-references that reveal the author?s identity, e.g., ?As we previously showed (Silva, 2005) ...?, must be avoided. Instead, authors should use ?Silva previously showed (Silva, 2005) ...?. Submission Policy By submitting papers to STIL 2021, authors agree that at least one author will register for the conference and present the paper in case of acceptance. Furthermore, it is the conference policy that at least one of the authors of accepted papers has to register *before* the deadline for sending the camera-ready paper. Accepted papers whose author(s) do not register *before* the camera-ready deadline will not be included in the online proceedings. Important Dates (all deadlines are 11:59 p.m. UTC-12:00 - anywhere on Earth!) - Beginning of submission period: June 10th, 2021 - Deadline for long and short paper submissions: August 9th, 2021 - Notification of acceptance: September 27th, 2021 - Camera-ready versions due: October 11th, 2021 Submission System Long and short papers should only be submitted in PDF files via the JEMS system https://jems.sbc.org.br/ by the deadline indicated above. PROGRAM CHAIRS Evandro Eduardo Seron Ruiz (USP, Brazil) Tiago Timponi Torrent (UFJF, Brazil) -------------- next part -------------- An HTML attachment was scrubbed... URL: From cirstea.bogdanionut at gmail.com Tue Jun 1 13:37:49 2021 From: cirstea.bogdanionut at gmail.com (Bogdan Ionut Cirstea) Date: Tue, 1 Jun 2021 18:37:49 +0100 Subject: Connectionists: [Journals] 2nd CFP: Special Issue on "Theory of Mind in Humans and in Machines" Message-ID: Dear colleagues, Apologies for cross-posting. Together with Prof. Fabio Cuzzolin (Oxford Brookes University, UK), Prof. Barbara Jacquelyn Sahakian (University of Cambridge, UK) and Dr. Christelle Langley (University of Cambridge, UK), we are organizing a special issue (Frontiers Research Topic) on the emerging topic of "Theory of Mind in Humans and in Machines" under the "Frontiers in Artificial Intelligence" and "Frontiers in Computational Neuroscience" journals. We would like to invite you to contribute articles to the Research Topic. For more information on this special issue, please visit the website at https://www.frontiersin.org/research-topics/16802/theory-of-mind-in-humans-and-in-machines Papers may be submitted until the 30th of July 2021 (manuscript submission extended deadline). Submitted papers should not be under consideration for publication elsewhere. We also encourage authors to send a short abstract (via the platform) to ensure compliance with the topic and scope of the Frontiers journals as early as possible. Topics of interest include, but are not limited to, theoretical proposals, computational experiments, and case studies of: ? Computational Theory of Mind ? Learning from Demonstrations ? Cognitive Models for Learning from Demonstration and Planning ? Neuroscience-inspired models of Theory of Mind ? Human-Robot Interaction ? Cooperative Inverse Reinforcement Learning (assistance games) ? Learning from Preferences If you intend to send an article to the special issue, please do let us know by hitting the "Participate" button in the web interface. If you have any questions or need any kind of assistance from us, please do not hesitate to let us know. On behalf of the topic editors, -- Bogdan-Ionut Cirstea Topic Editors: Prof. Fabio Cuzzolin, Oxford Brookes University, UK < fabio.cuzzolin at brookes.ac.uk> Prof. Barbara Jacquelyn Sahakian, University of Cambridge, UK < bjs1001 at cam.ac.uk> Dr. Bogdan-Ionut Cirstea, Oxford Brookes University, UK < bcirstea at brookes.ac.uk> Dr. Christelle Langley, University of Cambridge, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue Jun 1 17:57:21 2021 From: cgf at isep.ipp.pt (Carlos) Date: Tue, 1 Jun 2021 22:57:21 +0100 Subject: Connectionists: IEEE/ACM/ASA DSAA'2021: Last Deadline June 6, 2021 (Anywhere on Earth) 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 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: From mmolano0 at hotmail.com Wed Jun 2 03:27:00 2021 From: mmolano0 at hotmail.com (manuel molano) Date: Wed, 2 Jun 2021 07:27:00 +0000 Subject: Connectionists: Evolving Neural Networks workshop Message-ID: Dear all, We are glad to announce the 1st Evolving Neural Networks Workshop (June 17, 2021). The goal of the workshop is to bring together experts from Systems and Computational Neuroscience, Machine Learning and the Evo-Devo field to discuss if and how knowing the evolutionary history of neural circuits can help us understand the way the brain works, as well as the relative importance of learned VS innate neural mechanisms. We have a great list of speakers from the fields of Systems and Computational Neuroscience, Machine Learning and Evolutionary Developmental (Evo-Devo) biology. If you are interested REGISTER HERE, it is free! For more information visit our webpage or contact evolvingneuralnetworks at gmail.com We hope to see you soon! SCHEDULE (Eastern Time) 8-8.10 Intro 8.10-8.35 Pamela Lyon What basal cognition can do for you (neuroscientists) 8.35-9.00 Luis Puelles Brain evolution crosses an ontogenetic 'ant's country' that escapes analysis 9.00-9.25 Paul Cisek The evolution of the human brain, long before humans 9.25-9.50 Robert Yang Evolving the Olfactory System with Machine Learning 09.50-10.20 Discussion 10.20-10.40 Break 10.40-10.50 Intro 10.50-11.15 Linda Wilbrecht Considering contextual factors at acute and evolutionary timescales in the study of learning and decision making 11.15-11.40 Ida Momennejad TBA 11.40-12.05 Dayu Lin Neural mechanisms of aggression 12.05-12.30 Tony Zador Learning through the Genomic Bottleneck 12.30-13.00 Discussion -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Jun 2 06:45:39 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 2 Jun 2021 12:45:39 +0200 Subject: Connectionists: CFP CSS Chapters Workshop 2021 @CCS2021 Message-ID: *C*omplex *S*ystems *S*ociety *C*hapters Workshop October 27 - 28, 2021 An Online Workshop Satellite of the Conference on Complex Systems 2021 Submission deadline: July 05, 2021 Acceptance notification: July 09, 2021 The Chapters Workshop is a collaborative space that seeks to integrate the knowledge, experience, and diversity of the Complex Systems Community. This meeting aims to strengthen the capacities and leadership necessary to work on our organizational mission and vision. Based on the CSS recommendations to organize local chapters, experiences on how such guidelines can be adapted to the different national or regional contexts to be as inclusive and efficient as possible. Priorities of actions that could be set up will be discussed. Feedback from existing chapters and initiatives will be reported. *INVITED SPEAKERS (TBU)* Guido Calderelli - *Ca' Foscari University of Venice* Manlio De Domenico - *Bruno Kessler Foundation* Alfredo Morales ? *MIT Media Lab* Elisa Omodei ? *UN World Food Programme* Hiroki Sayama - *Binghamton University* Samir Suweiss. *- University of Padova* Sofia Teixeira - *Hospital da Luz Learning Health* *TOPICS* Objectives of the workshop are: ? To share national specific issues ? To share best practices on Chapter-specific development and governance issues ? To create synergies between Chapters ? To strengthen the community *CONTRIBUTIONS* Your contribution is welcome. If you want to share ideas, experiences about the topics, please submit an extended abstract (1 to 2 pages in pdf format) *SUBMISSION WEBSITE* https://easychair.org/conferences/?conf=csschapters2021. *ORGANIZING COMMITTEE * Cyrille Bertelle - *LITIS, Normastic, Le Havre* David Chavalarias - *ISC PIF, Paris* Chantal Cherifi - *DISP, Lyon* Hocine Cherifi - *LIB, Dijon* Laura Hernandez - *LPTM, Cergy-Pontoise* Bertrand Jouve - *LISST, Toulouse* Hamamache Kheddouci - *LIRIS, Lyon* Benjamin Renoust - *Median Technologies, Sophia Antipolis* 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 m.biehl at rug.nl Wed Jun 2 06:56:37 2021 From: m.biehl at rug.nl (Michael Biehl) Date: Wed, 2 Jun 2021 12:56:37 +0200 Subject: Connectionists: Research Fellowships at Univ. of Birmingham Message-ID: *Two research fellowships at the * *Centre for Systems Modelling and Quantitative Biomedicine, College of Medical and Dental SciencesUniversity of Birmingham /UK **Full time, fixed term for 3.5 years* *Closing Date *27th June 2021. Online interviews will take place on 20th July 2021 For further details and information about how to apply visit *https://www.jobs.ac.uk/job/CGC736/research-fellows * (do not reply to this message, do not contact M. Biehl directly) The successful candidates will be educated to PhD level and have experience in one or more of the following areas: Position 1: mathematical models; complex networks, (nonautonomous) dynamical systems, bifurcation theory or numerical continuation. Having relevant experience in biology or medicine will be advantageous. Position 2: computational methods; machine learning, neural networks, data visualisation and analytics, artificial intelligence, Bayesian inference, or algorithm development. Having relevant aligned experience in biology, medicine, or wearable technologies will be advantageous. -- ---------------------------------------------------------- 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 rmcichy at googlemail.com Wed Jun 2 07:55:25 2021 From: rmcichy at googlemail.com (radoslaw martin cichy) Date: Wed, 2 Jun 2021 13:55:25 +0200 Subject: Connectionists: PostDoc in Berlin: sensory-to-semantic transformations in human brains (fMRI, EEG, deep nets, encoding models) Message-ID: A (fully funded) PostDoc position is available, shared between the Neural Dynamics of Visual Cognition Lab of Prof. Radoslaw Cichy and the division of Experimental and Neurocognitive Psychology led by Prof. Arthur Jacobs (link ). The aim of the project is to determine how the human brain transforms both pictorial and verbal sensory information into affective-semantic concepts via a combination of methods (computational modelling ? deep learning nets, neuroimaging ? EEG, fMRI, multivariate encoding and decoding models). Appointment is for 3 years. The position is funded by the German Research Foundation. Preferred starting date is 1st of October 2021, but the exact data is flexible and open to negotiation. We seek a highly qualified PostDoc with a doctorate in a relevant field (e.g., data science, cognitive science, computer science, psychology, etc.) and strong interest in the research topic. The ideal candidate would have excellent programming skills (python, alternatively Matlab) and previous knowledge of deep neural network modelling (either visual or linguistic data) and experience with neuroimaging (fMRI or M/EEG). There is ample space for the successful candidate shaping the project conceptually and methodologically. We encourage informal inquiries to rmcichy at zedat.fu-berlin.de. For formal application please send a CV, a brief statement of research interests and the names and contact details of two academic references to daniela.satici.thies at fu-berlin.de until 28th of June, but later applications will be considered until the position is filled. Looking forward to hearing from you! Radek --- Prof. Dr. Radoslaw Martin Cichy Neural Dynamics of Visual Cognition Lab Prof. Dr. Arthur Jacobs Experimental and Neurocognitive Psychology Department of Education and Psychology Freie Universit?t Berlin Habelschwerdter Allee 45 14195 Berlin Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Jun 2 10:40:16 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 2 Jun 2021 16:40:16 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2021 MADRID Message-ID: *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:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* Join us at COMPLEX NETWORKS 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 jiangdm at nwpu.edu.cn Wed Jun 2 18:44:26 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Thu, 3 Jun 2021 06:44:26 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Call for Doctoral Consortium Calls Message-ID: <3d812683.18202.179cee63f9f.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 terry at salk.edu Wed Jun 2 23:01:12 2021 From: terry at salk.edu (Terry Sejnowski) Date: Wed, 02 Jun 2021 20:01:12 -0700 Subject: Connectionists: NEURAL COMPUTATION - June 1, 2021 In-Reply-To: Message-ID: Neural Computation - Volume 33, Number 6 - June 1, 2021 available online for download now: http://www.mitpressjournals.org/toc/neco/33/6 http://cognet.mit.edu/content/neural-computation ----- Articles On the Achievability of Blind Source Separation for High-dimensional Nonlinear Source Mixtures Takuya Isomura, Taro Toyoizumi Critical Point-Finding Methods Reveal Gradient-Flat Regions of Deep Network Losses Charles G Frye, James Simon, Neha S Wadia, Andrew Ligeralde, Mike DeWeese, and Kristofer E Bouchard Letters Reinforcement Learning in Sparse-Reward Environments with Hindsight Policy Gradients Paulo Eduardo Rauber, Avinash Ummadisingu, Filipe Mutz, and Jurgen Schmidhuber Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree? Ilenna Simone Jones, Konrad Paul Kording Shaping Dynamics With Multiple Populations in Low-rank Recurrent Networks Manuel Beiran, Alexis Dubreuil, Adrian Valente, Francesca Mastrogiuseppe, and Srdjan Ostojic Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation Yuangang Pan, Ivor W. Tsang, Yueming Lyu, Avinash Singh, and Chin-teng Lin A Framework of Learning Through Empirical Gain Maximization Yunlong Feng, Qiang Wu Noise Robust Projection Rule for Klein Hopfield Neural Networks Masaki Kobayashi ----- ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From miguel-areias at dcc.fc.up.pt Thu Jun 3 10:17:40 2021 From: miguel-areias at dcc.fc.up.pt (Miguel Areias) Date: Thu, 3 Jun 2021 15:17:40 +0100 Subject: Connectionists: CFP - Workshop on Causal Reasoning and Explanation in Logic Programming (CAUSAL 2021) Message-ID: ========================================================================= ????????????????????????? CALL FOR PAPERS ???????? CAUSAL 2021: Workshop on Causal Reasoning and Explanation ????????????????????? in Logic Programming ????????????????? https://sites.google.com/view/causal2021/ ========================================================================= ?? A workshop of 37th International Conference on Logic Programming ?????????????????????? September 20-27, 2021 ???????????????????? (the event will be virtual) ========================================================================= Important Dates *************** * Paper submission:? July 17th 2021 * Notification:????? July 31st 2021 * Final Versions:??? August 15th 2021 * Workshop Date:???? TBA (in September 20-27, 2021) Overview ******** Sophisticated causal reasoning has long been prevalent in human society and continues to have an undeniable impact on the advancement of science, technology, medicine, and other significant fields. From the development of ancient tools to modern roots of causal analysis in business and industry, reasoning about causality and having the ability to explain causal mechanisms enables us to identify how an outcome of interest came to be and gives insight into how to bring about, or even prevent, similar outcomes in future scenarios. This workshop aims to bring together researchers and practitioners of logic programming with a dedicated focus on methods and trends emerging from the study of causality and explanation. We welcome the submission of papers on systems, tools, and applications of logic programming methods for causal reasoning and explanation. In particular, we encourage submissions presenting recent developments, including works in progress. The workshop will present the latest research and application developments in these areas and provide opportunities to discuss current and future research directions and relationships to other fields (e.g. Machine Learning, Diagnosis, Natural Language Processing and Understanding, Philosophy of Science). An important expected outcome of this workshop is to collect first-hand feedback from the ICLP community about the role and placement of causal reasoning and explanation in the landscape of modern computer theory as well as in the software industry. Topics of interests include (but are not limited to): ***************************************************** * Modeling causal theories in logic programming * Formalization of types of causes: sufficient, necessary, actual, etc * Causality, temporal reasoning and action theories * Causality and counterfactual reasoning * Causality, learning and experimental design * Causality and probability * Causality and equivalence * Causality and ontology * Learning causal relations and information * Novel causal benchmarks * Relating LP based causality and Causal Networks * Challenging problems and benchmark examples * Justifications and argumentation * Explainable AI * Explanations for diagnosis and debugging * Tools, systems and applications Submissions must describe original research and be prepared using the Springer LNAI/LNCS format, available at: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines The workshop invites submissions of two types: * Full papers not exceeding 13 pages (excluding references) * Extended abstracts not exceeding 3 pages (excluding references) Please submit your paper via EasyChair: https://easychair.org/conferences/?conf=causal2021 At least one co-author of each accepted paper must register for and attend the workshop.? Please check the ICLP 2021 website (https://iclp2021.dcc.fc.up.pt/) for registration procedure and fees. We are planning to publish a special issue with selected workshop papers. Organizers ********** * Emily LeBlanc, US Naval Research Lab, USA ? (emily.leblanc at nrl.navy.mil) * Joost Vennekens, KU Leuven, Belgium * Tran Cao Son, New Mexico State University, USA * Pedro Cabalar, Corunna University, Spain * Jorge Fandi?o, University of Nebraska at Omaha, USA * Marcello Balduccini, Saint Joseph's University, USA * Yuliya Lierler, University of Nebraska at Omaha, USA ========================================================================= From pablo.alvesdebarros at iit.it Thu Jun 3 12:45:21 2021 From: pablo.alvesdebarros at iit.it (Pablo Vinicius Alves De Barros) Date: Thu, 3 Jun 2021 16:45:21 +0000 Subject: Connectionists: [news] Call for Participation - The Chef's Hat Cup @ IJCAI2021 Message-ID: <6685bdab365049b8bc55c9e9064a4f80@iit.it> Deadline Extended! - The Chef's Hat Cup @ IJCAI2021 I. Aim and Scope Most of the current Reinforcement-Learning solutions, although having real-world-inspired scenarios, focus on a direct space-action-reward mapping between the agent's actions and the environment?s state. That translates to agents that can adapt to dynamic scenarios, but, when applied to competitive and/or cooperative cases, fail to assess and deal with the impact of their opponents. In most cases, when these agents choose an action, they do not take into consideration how other agents can affect the state of the scenario. In competitive scenarios, the agents have to learn decisions that a) maximize their chances of winning the game, and b) minimize their adversaries' goals, while in cooperative scenarios b) is inverted. Besides dealing with complex scenarios, such solutions would have to deal with the dynamics between the agents themselves. In this regard, social reinforcement learning is still behind the mainstream applications and demonstrations of the last years. We introduce here the Chef's Hat Cup, a competition that aims at the development of the most challenging artificial players! The competition is separated into two tracks: a competitive and a cooperative scenario. In the first track, the participants will use the already available simulation environment to develop the most effective agents to play the Chef?s Hat card game and be the winner. In the second track, they will have to develop an agent that can increase the chances of a dummy agent winning the game. More information: https://www.whisperproject.eu/chefshat#competition II. Deadlines Starting Date: April 20, 2021 Final submission: July 15, 2021 Winners Announcement: July 29, 2021 III. Team Registration Teams of up to five persons are invited to participate in the competition. You can register by sending the following information: Team name Participant Names and affiliation to this email: pablo.alvesdebarros at iit.it IV. Prizes The prizes will be sponsored by the Contact Unit at the Italian Institute of Technology, and will be organized as follows: Competitive Track - Winner ? 300 EUR - Second ? 150 EUR - Third ? 50 EUR Cooperative Track - Winner ? 300 EUR - Second ? 150 EUR - Third ? 50 EUR V. Organizers Pablo Barros, Italian Institute of Technology (IIT), Italy Leandro Honorato, University of Pernambuco, Brazil Marco Matarese, Italian Institute of Technology (IIT), Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Italy ---------------------------------------- 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 ioannakoroni at csd.auth.gr Fri Jun 4 01:19:12 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Fri, 4 Jun 2021 08:19:12 +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?= References: <091e01d752e3$a5a46ff0$f0ed4fd0$@csd.auth.gr> <000801d75395$6232fc20$2698f460$@csd.auth.gr> Message-ID: <0d4001d75901$2874edb0$795ec910$@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 lmuller2 at uwo.ca Thu Jun 3 23:10:28 2021 From: lmuller2 at uwo.ca (Lyle Muller) Date: Fri, 4 Jun 2021 03:10:28 +0000 Subject: Connectionists: Western-Fields Seminar Series: Networks, Random Graphs, and Neuroscience Message-ID: <183DA7CA-C4F7-4DC2-8C01-A773EE8CCCAE@uwo.ca> The third talk in the 2021 Western-Fields Seminar Series in?Networks, Random Graphs, and Neuroscience is next Thursday (10 June) at noon EST. Sudeshna Sinha (IISER Mohali) will give a talk titled ?Chaos and Noise in the aid of Logic? (abstract below). Dr. Sinha is an expert on dynamics-based computation and wrote foundational papers on computing with networks of nonlinear units (Sinha and Ditto, PRL, 1998; Sinha and Ditto, PRE, 1999). This seminar series features monthly virtual talks from a diverse group of researchers across machine learning, physics, and graph theory. Upcoming speakers include Bard Ermentrout (University of Pittsburgh), Todd Coleman (University of California, San Diego), Krystal Guo (University of Amsterdam), Alexander Lubotzky (Hebrew University of Jerusalem), Frances Skinner (Krembil Institute), and more. Registration link: https://zoom.us/meeting/register/tJYuf-GppzkjHt0W5HMDpME2UpUiE7ntO5JS -- Chaos and Noise in the aid of Logic We discuss how understanding the nature of chaotic dynamics allows us to manipulate these complex systems, and such a controlled chaotic system can then serve as a versatile pattern generator that can be used for a range of applications. Specifically we will discuss the application of chaos to the design of reconfigurable logic gates. Further we indicate how one can exploit the interplay of nonlinearity and noise to obtain more consistent and robust logic operations. We also suggest how these concepts may be applied to systems ranging from electronic circuits and synthetic genetic circuits to nanomechanical oscillators. -- 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 hui.liu.mdpi at gmail.com Thu Jun 3 22:29:34 2021 From: hui.liu.mdpi at gmail.com (Hui Liu) Date: Fri, 4 Jun 2021 10:29:34 +0800 Subject: Connectionists: Machine Learning and Knowledge Extraction (ISSN 2504-4990) Included in the Emerging Sources Citation Index in Web of Science Message-ID: (Apologies for multiple posting) We are pleased to announce that the journal /Machine Learning and Knowledge Extraction/ (ISSN 2504-4990) has been accepted for inclusion in the Emerging Sources Citation Index (ESCI) in the Web of Science Core Collection. We would like to extend our sincerest gratitude to all the authors, reviewers, and editors that have been involved in the journal over the years, and whose contributions have enabled this achievement. /Machine Learning and Knowledge Extraction/ (ISSN 2504-4990) is an international, interdisciplinary, cross-domain, peer-reviewed, open access journal fostering an integrated machine learning approach. It publishes original research articles, reviews, tutorials, research ideas, Topics and Special Issues that focus on machine learning and applications. The time from submission to first decision is about 21.3 days, and acceptance to publication is within 3.5 days. For more details, please visit: https://www.mdpi.com/journal/make. We also provide the following free services to the machine learning community: (1) Advertise your conference on our website: http://www.mdpi.com/journal/make/events (2) Use our mailing list for announcements, call for papers, announce your jobs, etc.: https://lists.mdpi.com/postorius/lists/machinelearning.lists.mdpi.com/ (3) Post your research vacancies on our website http://www.mdpi.com/journal/make/addjob We would also like to take this opportunity to invite contributions to MAKE journal. Early bird entries (submit before 30 September 2021) are welcome to an APC discount, please contact the Editorial Office (make at mdpi.com). We plan to hold the Best Paper Award for publications in 2021 (the prize includes CHF 500, one feature paper and an Electronic Certificate). You are also encouraged to submit a Special Issue proposal to MAKE journal via: https://www.mdpi.com/journalproposal/sendproposalspecialissue/make. Best, /MAKE/ Editorial Office St. Alban-Anlage 66, 4052 Basel, Switzerland Tel. +41 61 683 77 34; Fax: +41 61 302 89 18 E-Mail: make at mdpi.com http://www.mdpi.com/journal/make/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Fri Jun 4 03:54:34 2021 From: interdonatos at gmail.com (Roberto Interdonato) Date: Fri, 4 Jun 2021 09:54:34 +0200 Subject: Connectionists: [DEADLINE IN 2 DAYS!] 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: *6 June 2021* ** Notification of Acceptance: 25 July 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 r.bakker at donders.ru.nl Fri Jun 4 05:43:55 2021 From: r.bakker at donders.ru.nl (Rembrandt Bakker) Date: Fri, 4 Jun 2021 11:43:55 +0200 Subject: Connectionists: postdoc position in neuroinformatics, Nijmegen, The Netherlands Message-ID: <9f43be78-d002-88ba-b80c-650edd3c002c@donders.ru.nl> The FLAG-ERA project NeuronsReunited is looking for a postdoctoral research associate (Neuroinformatics/Computational Neuroscience) for a 2 year position at 0.9 fte. Each mental event or voluntary motor act involves the coordinated activity of neurons in areas of the brain far apart. Thin, branched and extremely long cellular processes called axons provide the physical substrate of these interactions. Since a few years it is possible to fully trace these long- range axons one at a time. The goal of the FlagERA research project "NeuronsReunited" (https://www.flagera.eu/wp-content/uploads/2020/06/FLAG-ERA_JTC2019_HBP_NeuronsReunited.pdf) is to create tools for speeding up the conversion of experimental data into digital axons, and to precisely place neurons into a digital reference brain to reveal their context. The tools are applied to existing and new data in mouse, and the resulting insights are incorporated into new models for brain function. The project is a collaboration between five international partners, two experimental partners (Prof. Francisco Clasca, Madrid; Prof. Egidio d'Angelo, Pavia) and three computational/theoretical partners (Prof. Paul Tiesinga, Dr. Rembrandt Bakker, Nijmegen; Prof. Michele Giugliano, Trieste; Prof. Sacha Van Albada, J?lich). As a postdoctoral research associate you will design strategies to get axonal arbors precisely registered in a brain atlas. The brain atlas consists of high-resolution 3d dataset that represents the average mouse brain anatomy, while the neuron consists of a vector representation of its morphology that can be extended with images of selected tissue sections. Depending on your field of expertise, further steps can focus on automating the process to trace neurons from stained tissue sections or to integrate the resulting database of precisely registered neurons with other data modalities to generate new knowledge. You will be part of a team that deals with atlasing and data integration (Nijmegen) and model building (J?lich, Padova, Trieste). A key deliverable will be the creation of a gold standard online catalog of precisely placed neurons that future generations of neuroscientists can contribute to and compare data to. The tools make use of an existing body of work that consists of web-based applications: HBP Morphology Viewer (https://neuroinformatics.nl/HBP/morphology-viewer), Scalable Brain Atlas (https://scalablebrainatlas.incf.org/), and interactive notebooks (Python). Besides being a member of the project team, you will also be part of the European Human Brain Project and have access to the expertise of the large neuroscience community at the Donders Institute for Brain, Cognition and Behavior. We ask: ??? ??? A PhD degree in a quantitative field (engineering, physics, computational neuroscience, ??????? etc). ??? ??? Expertise in neuroscience or interest in acquiring it. ??? ??? Excellent programming skills, preferably in JavaScript applications or Python-based ??????? pipelines. ??? ??? Experience with neuroinformatics, visualization/3d-graphics, image processing, and/or ??????? machine learning. ??? ??? Demonstrated ability to work in a multidisciplinary environment at the forefront of ??????? science. ??? ??? Excellent communication skills in spoken and written English. We are: The Donders Institute for Brain, Cognition and Behaviour, home to more than 600 researchers from 35 countries, is a world-class research centre devoted to understanding the mechanistic underpinnings of human cognition and behaviour in health and disease. The institute's mission includes conducting excellent interdisciplinary research at the unique interface between genetic, molecular and cellular processes at one end and computational, system-level neuroscience with cognitive and behavioural analysis at the other end. Within this playing field, the Neuroinformatics department plays an essential role in developing new approaches for both computational modeling and data processing, all with the aim to turn raw data into highly valuable and well-integrated resources from which neuro-scientific insights can be extracted. Radboud University We want to get the best out of science, others and ourselves. Why? Because this is what the world around us desperately needs. Leading research and education make an indispensable contribution to a healthy, free world with equal opportunities for all. This is what unites the more than 22,000 students and 5,000 employees at Radboud University. And this requires even more talent, collaboration and lifelong learning. You have a part to play! We offer: ??? ??? Employment: 0.9 FTE. ??? ??? A maximum gross monthly salary of ? 4,402 based on a 38-hour working week (salary ??????? scale 10). ??? ??? The exact salary depends on the candidate's qualifications and amount of relevant ??????? professional experience. ??? ??? In addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus. ??? ??? Duration of the contract: 25 months. ??? ??? The intended start date is 1 September 2021. ??? ??? You will be able to use our Dual Career and Family Care Services. Our Dual Career and ??????? Family Care Officer can assist you with family-related support, help your partner or ??????? spouse prepare for the local labour market, provide customized support in their search for ??????? employment and help your family settle in Nijmegen. ??? ??? Have a look at our excellent employment conditions. They include a good work-life ??????? balance (among other things because of the excellent leave arrangements), opportunities ??????? for development and a great pension scheme. Apply directly Please use this link to apply: https://www.ru.nl/english/working-at/vacature/online- solliciteren/?tk=uk&recid=1152432#apply. Address your application to Paul Tiesinga and submit it no later than 1 July 2021. Your application should include the following attachments: ??? ???? Letter of motivation. ??? ???? CV including contact details of two references. ??? ???? Your research statement. The first round of interviews will take place on 6th July 2021. The second round of interviews will take place on 13th July 2021. For more information about this vacancy, please contact: Paul Tiesinga, Full Professor Tel.: +31 24 365 22 32 Email: p.tiesinga at science.ru.nl Rembrandt Bakker, Postdoctoral Researcher Tel.: +31 24 365 26 33 Email: r.bakker at donders.ru.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From ieeemocs2021 at gmail.com Fri Jun 4 08:26:48 2021 From: ieeemocs2021 at gmail.com (MoCS 2021) Date: Fri, 4 Jun 2021 14:26:48 +0200 Subject: Connectionists: [Conferences] CFP MoCS 2021 - 11th Workshop on Management of Cloud and Smart City Systems Message-ID: Good morning, It is my pleasure to announce the Call For Papers for the "11th Workshop on Management of Cloud and Smart City Systems" (MoCS 2021). MoCS 2021 will be held in Athens, Greece September 5, 2021, and will be part of the 26th IEEE Symposium on Computers and Communications (ISCC 2021) conference. Important dates Paper submission due: July 1, 2021 Notification due: July 18, 2021 Workshop date: September 5, 2021 Those are the three reasons why you may want to submit your work to our workshop: - 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. Topics of interest include but are not limited to the following: -Application of cloud and MEC systems to smart cities services. -Models for context-aware crowdsensing techniques at urban-level scale. -Human-enabled Edge Computing (HEC) paradigm. -Cloud to Edge continuum. -Edge data center deployment in urban environments. -Cloud quantum service model. -Hybrid quantum for smart city systems. -ML- and AI-based approaches cloud/edge-based smart city applications. -AI-driven models, architectures, and frameworks for edge computing. -Experiences on the (re)use of open platforms for cloud-integrated smart cities services. -Design and evaluation tools for scalability and efficient resource allocation in smart c-cities. -Design and application of cloud/edge technologies to Intelligent Transport Systems (ITS). -Vehicular cloud architectures for provisioning of smart cities services. -Models and paradigms for the management of cloud/MEC services within/between data. -Data-driven approaches for smart transportation in urban areas. -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 information 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. Have a nice day! Sincerely, Michele La Manna. -------------- next part -------------- An HTML attachment was scrubbed... URL: From huiyu_kang at fudan.edu.cn Sun Jun 6 08:59:23 2021 From: huiyu_kang at fudan.edu.cn (Huiyu Kang) Date: Sun, 6 Jun 2021 20:59:23 +0800 Subject: Connectionists: Post-doc Position | Neural and Intelligence Engineering Center, Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China Message-ID: <60BCC6AB.341115.03518@fudan.edu.cn> The positions are supported by Shanghai Government Key Project of ?Brain and Brain-inspired Intelligence?, and are affiliated with the Neural and Intelligence Engineering Center led by Prof. Shouyan Wang, Vice-dean of Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University. The projects will collaborate with Huashan Hospital Fudan University, Beijing Tiantan Hospital Capital Medical University, The General Hospital of the People's Liberation Army, University of Oxford, University of Cambridge and Harvard University, etc. Research Projects: Research Direction I. Intelligent Algorithms and Systems of Brain-Computer Interfaces for Neurostimulation and Neuromodulation * Establish neural circuit and neural network models for diseases such as Parkinson's disease, dystonia, epilepsy, depression, etc. * Develop intelligent neuromodulation methods and technologies for functional and circuit specificity, core technologies including brain-computer interface devices and chips, and integration system platforms. * Advance studies in personalized, adaptive, function-specific and precise neuromodulation mechanisms and technology transfer for clinical applications. Project i.i. Brain-computer Interfaces for Neuromodulation Based on Reinforcement Learning and Other Machine Learning Approaches * Establish a reinforcement learning model for adaptive neuromodulation picturing stimulus-response relations, based on dynamic neural responses to electrical nerve stimulation (e.g. EEG, LFP). * Realize real-time recognition of the state of brain function and intelligent neuromodulation. * Carry out application research on closed-loop and non-invasive vagus nerve stimulation, closed-loop deep brain stimulation, etc. Project i.ii. System Integration Technologies for Brain-computer Interfaces for Neurostimulation and Neuromodulation * Integrate brain-computer interface devices and chips to remotely monitor multiple physiological parameters of brain function. * Develop multi-sensor and multi-channel stimulation system platforms, which integrate machine learning algorithms for real-time processing and analysis of large-scale neural data, to realize neuromodulatory brain-computer interfacing in the sense-computation-stimulation closed-loop. Research Direction II. Digital Therapies Based on Cognitive-Behavioral Intervention * Develop a quantitative and intelligent cognitive-behavioral therapy theory targeting to neuromodulation and intervention for neuropsychiatric disorders (e.g. insomnia, depression). * Develop key technologies, including dynamic quantitative modeling of cognitive behavior, human-computer interaction in emotional behavior, non-invasive brain-computer interface, wearable monitoring, etc. * Develop digital cognitive behavior training intervention systems to reach personalization and precision in brain intervention strategies. Project ii.i. Digital Therapy for Sleep Modulation * Develop intervention and neuromodulation technologies for cognitive behavior training. * Apply wearable multi-hop sensors and personalized smartbands for monitoring real-time sleep pattern, daily behavior, cognitive change and biological indices. * Build a sleep pattern recognition model and design personalized, real-time and digital intervention plans based on multidimensional data collected from a large sample size, leading to online, quantitative and long-term stable intelligent sleep management and intervention. Project ii.ii. Intervention in Child Anxiety and Depression * Investigate the impact of parenting styles and family relationships on children?s cognitive development, using neuroscience and cognitive neuroscience methods. * Combine developmental psychology and cognitive neuroscience theories with mobile technology to develop an application for emotion management and parent-child communication with intelligent analysis technology, grounded on cognitive behavior training. Taking individual problem as a start point, this application is designed to be a closed-loop management tool capable of learning, case study, method practice, tracking and feedback. Project ii.iii. Quantitative and Intelligent Management of Parkinson?s Disease * Monitor movements and biological status of Parkinson?s disease patients with wearable sensors. * Build a pharmacodynamic model showing the relation between patient?s status and drug effect. * Build a model for medication optimization strategy that predicts pharmacodynamic actions and suggests medication optimization, making available remote, mobile management of Parkinson?s disease. Qualifications: (1) Researchers who will receive PhD soon or graduated within last five years. (2) Under 35 years old. Excellent candidates aged 35 to 38 may be considered. (3) Research experience in machine learning, neural signal processing, biomedical electronics or neurophysiology in pain, movement disorders or depression, or related research experience in neuroscience or psychology. Benefits? 1. The initial employment period is 2 years and extendable up to 4 years according to project progress. 2. Salary is ?250k ~400k /year ($35k~58k / year). 3. Additional research funding up to $30k provided to support researchers with excellent ideas and independent capability. 4. Opportunities to top-up salaries up to $14k / year with grant from Shanghai Government. 5. Opportunities to have research visiting at University of Oxford, University of Cambridge or Harvard University. 6. Opportunities to transfer to faculty position with start-up of $72k~144k. 7. In accordance with the policies of Fudan University, assist children of the candidates to apply for admission to kindergartens or primary school affiliated to Fudan University. Application Procedure? Send CV with contact information of referees, cover letter and PDF of key publications to shouyan at fudan.edu.cn and niec_istbi at fudan.edu.cn with e-mail subject Post-doc Application Additional Information Fudan University is one of the top five universities in China, and ranked at #105 in Times Higher Education World University Ranking. ISTBI is a leading institute in brain-inspired artificial intelligence, neuroimaging, biomedical big data and neural engineering in China. More information can be found from https://www.fudan.edu.cn/en/ and https://istbi.fudan.edu.cn/lnen/. -------------- next part -------------- An HTML attachment was scrubbed... URL: From uwe.hanebeck at kit.edu Sat Jun 5 17:05:58 2021 From: uwe.hanebeck at kit.edu (Hanebeck, Uwe (IAR)) Date: Sat, 5 Jun 2021 21:05:58 +0000 Subject: Connectionists: Until June 15: Submit to IEEE MFI 2021, Karlsruhe, Germany! In-Reply-To: <85d17ec6d80f4f09a1fadef3b85259c9@kit.edu> References: <85d17ec6d80f4f09a1fadef3b85259c9@kit.edu> Message-ID: The 2021 IEEE International Conference on Multisensor Fusion and Integration (MFI 2021) invites submissions. * Extended deadline June 15, 2021 * Conference dates September 23-25, 2021 * Innovative hybrid format including real and virtual components * Remote participation and presentation is possible * Papers are published on IEEE Xplore * Sponsored by the IEEE Robotics and Automation Society (RAS) and the IEEE Industrial Electronics Society (IES) * Location: Karlsruhe, Germany For details, please see: https://mfi2021.org Best regards, Uwe (Hanebeck) and Florian (Pfaff) (MFI 2021 general chairs) --------------------------------------------------------------------------- Univ.-Prof. Dr.-Ing. habil. Uwe D. Hanebeck, Fellow IEEE Karlsruhe Institute of Technology (KIT) Department of Informatics Institute for Anthropomatics and Robotics (IAR) Chair for Intelligent Sensor-Actuator-Systems (ISAS) Adenauerring 2 D-76131 Karlsruhe Germany https://isas.iar.kit.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.passarella at iit.cnr.it Mon Jun 7 06:00:02 2021 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Mon, 7 Jun 2021 12:00:02 +0200 (CEST) Subject: Connectionists: OSNEM Special Issue: Media: Information and Opinion Diffusion in Online Social Networks and Media - Deadline July 31st Message-ID: <20210607100002.072E01630086@magneto.iit.cnr.it> ------------------------------------------------------------------------------ CALL FOR PAPERS Elsevier Online Social Networks and Media Journal (OSNEM) Special issue on Information and Opinion Diffusion in Online Social Networks and Media Submission Deadline: July 31st, 2021 http://www.journals.elsevier.com/online-social-networks-and-media/ ------------------------------------------------------------------------------ Information diffusion in Online Social Networks and Media (OSNEM) has a major role, among many others, for recommendation systems, advertising, and political campaigns. Moverover, the way information circulates in OSNEM impacts on the formation of opinions and on the social roles of users and their influence on others. The OSNEM role in information and opinion diffusion has dramatically increased since the emergence of the COVID-19 pandemic, with many physical activities being "migrated" to the online world. OSNEM are extensively used for spreading information, opinions and ideas, but also to propagate fake news and rumors and these threats to trust in information are posing even more serious socio-economic challenges during the pandemic. Therefore, prevention of spam, bots and fake accounts, information leakage, trustworthiness of information and trust between users are relevant research issues associated with information diffusion. Investigating ways through which information and opinion spread can be controlled (e.g., by modifying the underlying network structure) is also fundamental. This special issue seeks contributions pushing the state of the art in all facets of information and opinion diffusion in Online Social Networks and Media. We solicit manuscripts where quantitative and/or data-driven approach is used to investigate information and opinion diffusion in OSNEM. Topics include, but are not limited to: - Dynamics of trends, information and opinion diffusion in OSNEM - Recommendations and advertising in OSNEM - Spread of news, topics, and opinions - Trust, reputation, privacy in OSNEM information and opinion diffusion - Rumors and fake news spreading in OSNEM - Information and disinformation diffusion in OSNEM at the time of COVID-19 - Opinion formation, diffusion and polarization related to COVID-19 - Bots and fake users detection - Influence analysis and social influence - Identification of diffusion sources and influencers - Methods to modify/control/maximise information and opinion diffusion - Measurements of information and opinion diffusion in OSNEM - Models of information and opinion diffusion - Data-driven approaches to study information and opinion diffusion in OSNEM 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: July 31st, 2021 First notification: September 30th, 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: Information and Opinion'' 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 ''info diffusion''. 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 miguel-areias at dcc.fc.up.pt Mon Jun 7 06:09:09 2021 From: miguel-areias at dcc.fc.up.pt (Miguel Areias) Date: Mon, 7 Jun 2021 11:09:09 +0100 Subject: Connectionists: CFP - Workshop on Probabilistic Logic Programming (PLP 2021) Message-ID: ========================================================================= ????????????????????????? CALL FOR PAPERS ??? PLP 2021: The Eighth Workshop on Probabilistic Logic Programming ????????????????? http://stoics.org.uk/plp/plp2021 ========================================================================= ?? A workshop of 37th International Conference on Logic Programming ?????????????????????? September 20-27, 2021 ???????????????????? (the event will be virtual) ========================================================================= ** Deadline for submissions: August 1st 2021 Overview ******** Probabilistic logic programming (PLP) approaches have received much attention in this century. They address the need to reason about relational domains under uncertainty arising in a variety of application domains, such as bioinformatics, the semantic web, robotics, and many more. Developments in PLP include new languages that combine logic programming with probability theory, as well as algorithms that operate over programs in these formalisms. The workshop encompasses all aspects of combining logic, algorithms, programming and probability. PLP is part of a wider current interest in probabilistic programming. By promoting probabilities as explicit programming constructs, inference, parameter estimation and learning algorithms can be ran over programs which represent highly structured probability spaces. Due to logic programming's strong theoretical underpinnings, PLP is one of the more disciplined areas of probabilistic programming. It builds upon and benefits from the large body of existing work in logic programming, both in semantics and implementation, but also presents new challenges to the field. PLP reasoning often requires the evaluation of large number of possible states before any answers can be produced thus breaking the sequential search model of traditional logic programs. While PLP has already contributed a number of formalisms, systems and well understood and established results in: parameter estimation, tabling, marginal probabilities and Bayesian learning, many questions remain open in this exciting, expanding field in the intersection of AI, machine learning and statistics. This workshop provides a forum for the exchange of ideas, presentation of results and preliminary work, in the following areas * probabilistic logic programming formalisms * parameter estimation * statistical inference * implementations * structure learning * reasoning with uncertainty * constraint store approaches * stochastic and randomised algorithms * probabilistic knowledge representation and reasoning * constraints in statistical inference * applications, such as * * bioinformatics * * semantic web * * robotics * probabilistic graphical models * Bayesian learning * tabling for learning and stochastic inference * MCMC * stochastic search * labelled logic programs * integration of statistical software This list is by no means exhaustive. Purpose ******** After seven successful editions of this workshop, the eighth edition of PLP will be held at the ICLP virtual conference organised by the University of Porto. We hope that this encourages further collaboration between researchers in PLP and researchers working in other areas of ICLP. Submissions *********** Submissions will be managed via EasyChair (to be announced). Contributions should be prepared in the LNCS style. A mixture of papers are sought including: new results; work in progress; and technical summaries of recent substantial contributions.? Papers presenting new results should be 6-15 pages in length. Work in progress and technical summaries can be shorter (2-5 pages). The workshop proceedings will clearly indicate the type of each paper. At least one author of each accepted paper will be required to attend the workshop to present the contribution. Publication *********** Informal proceedings will be made available electronically to attendees and submitted to CEUR Workshop Proceedings repository (http://ceur-ws.org/). The proceedings will consist of clearly marked sections corresponding to the different types of submissions accepted. Deadlines ********* Papers due: August 1st, 2021 Notification to authors: September 1st, 2021 Camera ready version due: September 10th, 2021 Workshop date: September 20-27, 2021 (all dates are AoE) Invited Speaker(s) ****************** TBA Programme Committee Chairs ************************** Rafael Penaloza (University of Milano-Bicocca, Italy) Felix Weitk?mper (LMU M?nchen, Germany) Programme Committee ******************* TBA ========================================================================= From laurent.perrinet at univ-amu.fr Mon Jun 7 06:55:14 2021 From: laurent.perrinet at univ-amu.fr (PERRINET Laurent) Date: Mon, 7 Jun 2021 10:55:14 +0000 Subject: Connectionists: =?utf-8?q?=5Bjobs=5D_One-year_Postdoc_on_?= =?utf-8?q?=E2=80=9CSparse_coding_for_bio-inspired_vision_models=E2=80=9D_?= =?utf-8?q?at_CentraleSup=C3=A8lec=2C_Gif-sur-Yvette=2C_France?= Message-ID: <2409E8F8-0DAB-48DD-9374-308736DBC889@univ-amu.fr> Dear Colleagues, Applications are invited for a one-year Postdoc position, starting in September 2021 or as soon as possible thereafter, to work under the joint supervision of Dario Prandi (CNRS, Universit? Paris-Saclay), Luca Calatroni (CNRS, Universit? C?te d'Azur), and Laurent Perrinet (CNRS, Institut de Neurosciences de la Timone). The position is financed by the ANR Rubin-Vase (https://anr.fr/Projet-ANR-20-CE48-0003), and the research focus will be on linking the bio-inspired models studied by D. Prandi and L. Calatroni (see e.g. [1]) to the sparsity promoting neural architectures investigated by L. Perrinet (see, e.g., [2]). The successful applicant will have a strong applied mathematical background, ideally in the fields of sparse optimization and/or dynamical systems, and a good familiarity with neural architectures and the associated implementation issues. Strong skills in coding and programming using standard optimization/deep learning languages (e.g., Python, PyTorch, Julia, MATLAB?) are required. The gross salary is of 50k-59k euros (depending on the seniority of the applicant), and the position comes with no teaching duties. Although the position is officially based at CentraleSup?lec (Universit? Paris-Saclay), the successful applicant is expected to spend fairly long periods at the INT in Marseille and I3S in Sophia-Antipolis, to work with the co-supervisors. Candidates are asked to write directly to Dario Prandi (dario.prandi at centralesupelec.fr), attaching a CV, a short description of current research interests, and names and contact addresses of at least two reference contacts (no formal letters of recommendation are required). Applications are reviewed continuously, until positions are filled, with a first evaluation round starting on the 14th of June, 2021. Thanks for distributing this announcement to potential candidates! References [1] Bertalm?o, M., Calatroni, L., Franceschi, V. et al. Cortical-Inspired Wilson?Cowan-Type Equations for Orientation-Dependent Contrast Perception Modelling. J Math Imaging Vis 63, 263?281 (2021). https://arxiv.org/abs/1910.06808 [2] Boutin V, Franciosini A, Chavane F, Ruffier F, Perrinet L (2021) Sparse deep predictive coding captures contour integration capabilities of the early visual system. PLoS Comput Biol 17(1): e1008629. https://doi.org/10.1371/journal.pcbi.1008629 -- Laurent Perrinet - INT (UMR 7289)/CNRS https://laurentperrinet.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Mon Jun 7 10:00:22 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Mon, 7 Jun 2021 17:00:22 +0300 Subject: Connectionists: First International Conference on ICT for Health, Accessibility and Wellbeing (IHAW 2021): Fifth Call for Papers Message-ID: *** Fifth 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. Special Session on Active Assisted Living (AAL) Do you do research or commercial work in the active and healthy ageing area and you want to participate in the discussion driving the future of healthy ageing? Do you have a funded project in the AAL programme and would like to present the results of the project? Then the Special Session on AAL is the perfect opportunity for you to be involved in an ecosystem that promotes active and healthy ageing. This special session at the IHAW 2021 conference aims to bring together the community of healthy ageing to present their results and to discuss the existing opportunities in health technology and reflect on the future of ageing well in the digital world. You will be presented with the opportunity to meet and discuss with several stakeholders from universities, industry, regional and national authorities, private companies working with older adults and many more. You can use the opportunity to showcase the best practices and find solutions to challenges through presentations, discussions, workshops and networking. The Special Session on AAL is the ideal meeting place for presenting the results from cutting-edge, funded AAL projects, as well as independent research or commercial work in the active and healthy ageing area, performed from: ? Universities and research institutions ? End-user organisations and companies working with older adults ? Industry professionals involved in the technology sector with an interest in active and healthy ageing ? Health care and social care providers ? Individuals and organisations implicated in the AAL funded projects The goal of this Special Session is to engage researchers and all relevant stakeholders of the healthy ageing value chain into networking and discussions to present their experiences and provide answers and solutions to problems and issues faced by older adults. This community is of great importance since it drives and aims to achieve better conditions and a healthier and improved society for the future of older adults. The proactive involvement of the community in conceptualising, designing and developing cost-effective systems that offer services to serve our ageing society, as well as the presentation of the solutions and discussion and exchange of ideas in this special session aims to drive and cultivate innovative thinkers, creative people and change makers in the area of active and healthy ageing. Please follow the submission guidelines and important dates as they are stated below and make sure that under the abstract of your submitted paper there is the statement: "Submitted to the Special Session on AAL". Accepted papers will be published by Springer in the CCIS Series. 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: July 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 and Special Session 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 umanor at salk.edu Mon Jun 7 15:43:48 2021 From: umanor at salk.edu (Uri Manor) Date: Mon, 7 Jun 2021 19:43:48 +0000 Subject: Connectionists: Image Analysis Engineer position at the Salk Institute Message-ID: <10D1E2BB-30C8-4563-AF26-E9DAA82327EF@salk.edu> Hi everyone! We are seeking a new Image Analysis Engineer to join us at the Salk Institute's Advanced Biophotonics Core. Experience or a strong interest in machine learning are a strong plus. You can read the paper of our previous Image Analysis Engineer here in Nature Methods. Please email me at umanor at salk.edu if you are interested. More info below: WAITT ADVANCED BIOPHOTONICS CORE Job Opportunity ? Image Analysis Specialist The Waitt Advanced Biophotonics Center has been established at the Salk Institute for Biological Studies as a state-of-the-art research hub to provide advanced and emerging imaging modalities to enable unprecedented insights into the inner workings of cells, tissues and organisms. We are seeking candidates in the field of computational image analysis to serve as an Image Analysis Scientist for the Biophotonics Core Facility. The Image Analysis Scientist will have a principal responsibility to collaborate with the other light and electron microscopy researchers in the Biophotonics Core and the Salk Institute to provide specific expertise for developing custom computer algorithms for complex and novel analyses of raw imaging data, computer data management and developing algorithms for microscopy operations. The Image Analysis Scientist will also develop and publish novel imaging and image analysis techniques (including machine learning models) in collaboration with the Core Director and Salk faculty. The Image Analysis Scientist will apply existing image processing software to 2D and 3D images and videos, and will also integrate data across different platforms (e.g. correlative EM). Finally, under the supervision and training of the Core Director, the Image Analysis Scientist will become familiar with the microscopes used in the facility and develop expertise in using the equipment to acquire imaging data optimized for image analysis. Along with the Core Director, the Image Analysis Scientist will train Salk scientists on how to properly acquire high quality quantitative microscopy image data. This is a multi-faceted job that involves the following components: ? Image Processing & Data Analysis - With the support of the Core Director, the incumbent will participate in the collaborative development of custom image data analysis and algorithm solutions. ? Research Design & Participation - aiding Director and independently assisting users in design of imaging experiments. Educate facility users in the use of facility instrumentation and methods used therein for optimal acquisition of imaging data ? Data Collection & Presentation - collecting and managing data and helping to prepare data for publication & presentation. ? User Training - guide and assist Salk researchers in the use of existing image acquisition and processing software. [cid:clip_image004.jpg] To Apply: Send CV to umanor at salk.edu Uri Manor, Ph.D. ASSISTANT RESEARCH PROFESSOR DIRECTOR WAITT ADVANCED BIOPHOTONICS CORE PH (858) 453-4100 x2119 E umanor at salk.edu W http://bpho.salk.edu Sign up for Biophotonics updates here. Please report any publication that used BPHO Core resources appropriately: Waitt Foundation and Core Grant applications NCI CCSG (CA014195) and NINDS Neuroscience Center (NS072031). Salk Institute for Biological Studies 10010 N Torrey Pines Rd ? La Jolla, CA 92037 WWW.SALK.EDU -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: clip_image004.jpg Type: image/jpeg Size: 6225 bytes Desc: clip_image004.jpg URL: From TSVP at oist.jp Tue Jun 8 03:05:46 2021 From: TSVP at oist.jp (Theoretical Sciences Visiting Program) Date: Tue, 8 Jun 2021 07:05:46 +0000 Subject: Connectionists: Call for Visiting Scholars in Theoretical Sciences In-Reply-To: References: Message-ID: Dear Connectionists moderator, I am sorry to have sent the request without first subscribing. I can confirm that I am now subscribed to the mailing list. Please send out the ad below: Thank you again, Matthew "Theoretical Sciences Visiting Program at OIST As part of an initiative to develop a vibrant program in theoretical sciences, OIST invites applications for Visiting Scholars in the Theoretical Sciences. The Okinawa Institute of Science and Technology (OIST) is a research institution with a Ph.D. program. Outstanding graduate students and faculty are being attracted internationally. OIST is beautifully situated on the tropical island of Okinawa, Japan. Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. The position has a flexible term of 3 to 12 months taken continuously starting no earlier than October 1, 2021. The appointment may be taken while on leave or sabbatical from another university and comes with housing, research funds, and moving allowance. Successful candidates will be eligible to apply for support with salary, where this is necessary to facilitate the visit. No teaching duties come with the position. OIST is an institution with no departments, aiming to eliminate barriers between people working in different fields. It provides a family-friendly working environment including the multilingual Child Development Center and has proactive policies designed to promote a culture of diversity. OIST is an equal opportunity, affirmative action educator, and employer. Further details can be found at https://www.oist.jp/. Applicants should submit a CV including a list of publications, a brief description of the research to date and proposed research while visiting OIST, and the desired period of visit. All visits are subject to the availability of funding. Applications received by August 15, 2021, are guaranteed full consideration. If you have any questions, please send inquiries to: tsvp at oist.jp Interfolio Link: http://apply.interfolio.com/88541" ________________________________ From: Theoretical Sciences Visiting Program Sent: Tuesday, June 8, 2021 12:43 AM To: connectionists at mailman.srv.cs.cmu.edu Subject: Call for Visiting Scholars in Theoretical Sciences Dear Connectionists moderator, OIST would like to post the following ad for our Theoretical Sciences Visiting Program (TSVP) by mailing it to the Connectionists. Please let me know if anything further is needed. Thank you for your help Matthew (Faculty Affairs Office, OIST) "As part of an initiative to develop a vibrant program in theoretical sciences, OIST invites applications for Visiting Scholars in the Theoretical Sciences. The Okinawa Institute of Science and Technology (OIST) is a research institution with a Ph.D. program. Outstanding graduate students and faculty are being attracted internationally. OIST is beautifully situated on the tropical island of Okinawa, Japan. Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. The position has a flexible term of 3 to 12 months taken continuously starting no earlier than October 1, 2021. The appointment may be taken while on leave or sabbatical from another university and comes with housing, research funds, and moving allowance. Successful candidates will be eligible to apply for support with salary, where this is necessary to facilitate the visit. No teaching duties come with the position. OIST is an institution with no departments, aiming to eliminate barriers between people working in different fields. It provides a family-friendly working environment including the multilingual Child Development Center and has proactive policies designed to promote a culture of diversity. OIST is an equal opportunity, affirmative action educator, and employer. Further details can be found at https://www.oist.jp/. Applicants should submit a CV including a list of publications, a brief description of the research to date and proposed research while visiting OIST, and the desired period of visit. All visits are subject to the availability of funding. Applications received by August 15, 2021, are guaranteed full consideration. If you have any questions, please send inquiries to: tsvp at oist.jp Interfolio Link: http://apply.interfolio.com/88541" -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiaxiangzhang at gmail.com Tue Jun 8 04:28:01 2021 From: jiaxiangzhang at gmail.com (Jiaxiang ZHANG) Date: Tue, 8 Jun 2021 09:28:01 +0100 Subject: Connectionists: Postdoc Position at Cardiff University Brain Research Imaging Centre Message-ID: [Apologize for cross-posting] Dear all, We are seeking an enthusiastic early-career scientist for a research associate position at Cardiff University Brain Research Imaging Centre (CUBRIC). The successful candidate will join a collaborative and multidisciplinary research team to work on the neurocognitive mechanisms of human decision-making, integrating multimodal brain imaging (MEG, functional MRI and diffusion MRI) and computational modelling. The post holder will develop computational models that describe data from behavioural and brain imaging experiments, in particular to take a lead role in integrating large-scale computational simulations with imaging results from multiple modalities. The research aims to understand the computational and neurocognitive processes of human decision-making, and how decision deficits may arise due to brain injury or neurodegeneration. The research associate will also be expected to collaborate with other researchers in the team on imaging data analyses and data curation. You will have access to imaging facilities at CUBRIC and several multimodal imaging datasets. Cardiff University Brain Research Imaging Centre (CUBRIC) houses a unique combination of state-of-the-art facilities and world-leading expertise, with 4 human MRI systems (2 x Siemens Prisma, 1 x Siemens Connectom, 1 x Siemens 7T), MEG, EEG, TMS, tDCS, clinical research units and testing labs. Further details of CUBRIC can be found on our webpage (http://sites.cardiff.ac.uk/cubric). This is a full-time, fixed-term position until February 2023, available to start now. Remote working is possible if COVID-19 restrictions are in place. For informal enquiries, please contact Dr Jiaxiang Zhang ( zhangj73 at cardiff.ac.uk). A formal application needs to be submitted via the link online ( https://www.jobs.ac.uk/job/CEQ831/research-associate). *Application deadline: June 13th, 2021.* *Essential Criteria* 1. A PhD degree in a relevant discipline (e.g., mathematics, computer science, engineering, physics or psychology) 2. Research experience or a strong interest in human decision-making 3. Strong experience in computational models of cognitive processes and/or macroscopic neural systems, including the use of neural mass models or neural field models 4. Experience of analysing brain imaging data in one or more modalities (e.g., diffusion MRI, BOLD functional MRI, MEG/EEG), using common software packages 5. Strong programming skills (e.g., Matlab, Python, C/C++ or R) 6. Experience with Unix/Linux environment for data analysis, including bash scripting and parallel computing on high-performance clusters 7. Proven ability to publish high-quality research in peer-reviewed academic journals 8. Knowledge of software development cycles and best programming practices, including coding standards, version control administration, debug and code sharing, with strong commitments to open science practices 9. Excellent written and verbal communication skills, evidenced by publications and/or conference presentations 10. Strong interpersonal skills, including proven ability to work cooperatively within a team while also being able to take the initiative *Desirable Criteria * 1. Experience of brain functional and structural connectivity analyses 2. Experience in statistical methods (e.g., GLM, mixed models, multivariate statistics, hierarchical models and Bayesian statistics) and/or machine learning methods 3. Experience in deep learning models of imaging processing --- Dr. Jiaxiang Zhang Cardiff University Brain Research Imaging Centre (CUBRIC) School of Psychology Cardiff University Maindy Road, Cardiff, CF24 4HQ https://ccbrain.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Tue Jun 8 04:34:37 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Tue, 8 Jun 2021 10:34:37 +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 - Philippe Leray, Professor at University of Nantes - Stefan FENZ, key researcher at SBA Research and Senior Scientist at Vienna University of Technology - Olivier Dameron, Professor at Universit? de Rennes I, Dyliss team, Irisa / Inria Rennes-Bretagne Atlantique - Aar?n Ayll?n Benitez, Phd in bioinformatique, ontology leader at BASF digital solutions **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 giacomo.cabri at unimore.it Tue Jun 8 05:28:56 2021 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Tue, 8 Jun 2021 11:28:56 +0200 Subject: Connectionists: CfP: 18th IEEE International Conference on Networking, Sensing and Control Message-ID: <02572556-29cf-807a-e1c8-6db7f4365390@unimore.it> Call for Papers 18th IEEE International Conference on Networking, Sensing and Control November 5-7, 2021, Xiamen, China Theme: Industry 4.0 and AI The 2021 IEEE International Conference on Networking, Sensing and Control will be held in Xiamen, a historic and scenic city in Fujian Province, China. It will feature plenary speeches, panel sessions, tutorials, workshops, interactive sessions, and invited/special sessions. Contributions are expected from academia, industry, and management agencies. Important Dates July 1, 2021Workshop and Special session proposals deadline August 1, 2021 Paper submission due September 15, 2021 Notification of acceptance October 15, 2021 Camera-ready copy due November 5-7, 2021 Conference More details in the attached CfP. Best regards, Giacomo Cabri -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Rector's Delegate for Teaching | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mailgiacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| -------------- next part -------------- A non-text attachment was scrubbed... Name: CFP-ICNSC2021.pdf Type: application/pdf Size: 799704 bytes Desc: not available URL: From stmanion at gmail.com Tue Jun 8 07:51:21 2021 From: stmanion at gmail.com (Sean Manion) Date: Tue, 8 Jun 2021 07:51:21 -0400 Subject: Connectionists: Special Topic CfP: Blockchain and the Web3.0 Future of Scientific Publishing Message-ID: Hi all, Special Topic Call for Papers from Frontiers - Blockchain for Science: Blockchain and the Web3.0 Future of Scientific Publishing | Frontiers Research Topic (frontiersin.org) For more than 300 years, scientific publications have served as the foundational blocks of scientific knowledge, chained together via citations. This successful model has continued with little disruption into our current web2.0 digital age in recent decades. As we now head into a more distributed, peer-to-peer web3.0 future that rapidly transforms entire industries, we would like to look at how blockchain and associated distributed technologies may transform scientific publishing. How might blockchain and decentralized artificial intelligence transform scientific publishing and scientific knowledge translation? Will journals still exist in 20 years or will they be replaced by machine-to-machine communications that rapidly augment human knowledge, in near real time, with the latest available data? What might this non-journaled future of science look like? Or will the centuries old current publishing framework assimilate these new technologies? We invite you to submit manuscripts describing empirical experience, descriptions of theoretical applications, or unique perspectives on blockchain and other emerging technologies applied to all aspects of scientific publishing. Submission Deadlines 06 August 2021 Abstract 04 December 2021 Manuscript Cheers! Sean Manion, PhD -------------- next part -------------- An HTML attachment was scrubbed... URL: From pubconference at gmail.com Tue Jun 8 12:25:21 2021 From: pubconference at gmail.com (Pub Conference) Date: Tue, 8 Jun 2021 12:25:21 -0400 Subject: Connectionists: Knowledge-Based Systems Special Issue on Robust, Explainable, and Privacy-Preserving Deep Learning Message-ID: Robust, Explainable, and Privacy-Preserving Deep Learning https://www.journals.elsevier.com/knowledge-based-systems/call-for-papers/robust-explainable-and-privacy-preserving-deep-learning *Aim and Scope* The exponentially growing availability of data such as images, videos and speech from myriad sources, including social media and the Internet of Things, is driving the demand for high-performance data analysis algorithms. Deep learning is currently an extremely active research area in machine learning and pattern recognition. It provides computational models of multiple nonlinear processing neural network layers to learn and represent data with increasing levels of abstraction. Deep neural networks are able to implicitly capture intricate structures of large-scale data and deploy in cloud computing and high-performance computing platforms. The deep learning approach has demonstrated remarkable performances across a range of applications, including computer vision, image classification, face/speech recognition, natural language processing, and medical communications. However, deep neural networks yield ?black-box? input-output mappings that can be challenging to explain to users. Especially in the healthcare, cybersecurity, and legal fields, black-box machine learning techniques are unacceptable, since decisions may have a profound impact on peoples? lives due to the lack of interpretability. In addition, many other open problems and challenges still exist, such as computational and time costs, repeatability of the results, convergence, and the ability to learn from a very small amount of data and to evolve dynamically. Further, despite their enormous societal benefits, deep learning can pose real threats to personal privacy. For example, deep neural networks and other machine learning models are built based on patients' personal and highly sensitive data such as clinical records or tracked health data in the domain of healthcare. Moreover, they can be vulnerable to attackers trying to infer the sensitive data that was used to build the model. This raises important research questions about how to develop deep learning models that protect private data against inference attacks while still being accurate and useful predictive models. This Special Issue will present robust, explainable, and efficient next-generation deep learning algorithms with data privacy and theoretical guarantees for solving challenging artificial intelligence problems. This Special Issue aims to: 1) improve the understanding and explainability of deep neural networks; 2) improve the accuracy of deep learning leveraging new stochastic optimization and neural architecture search; 3) enhance the mathematical foundation of deep neural networks; 4) design new data privacy mechanisms to optimally tradeoff between utility and privacy; and 5) increase the computational efficiency and stability of the deep learning training process with new algorithms that will scale. Potential topics include but are not limited to the following: ? Novel theoretical insights on the deep neural networks ? Exploration of post-hoc interpretation methods which can shed light on how deep learning models produce a specific prediction and generate a representation ? Investigation of interpretable models which aim to construct self-explanatory models and incorporate interpretability directly into the structure of a deep learning model ? Quantifying or visualizing the interpretability of deep neural networks ? Stability improvement of deep neural network optimization ? Optimization methods for deep learning ? Privacy preserving machine learning (e.g., federated machine learning, learning over encrypted data) ? Novel deep learning approaches in the applications of image/signal processing, business intelligence, games, healthcare, bioinformatics, and security *Important Dates* ? Submission Deadline: August 31, 2021 ? First Review Decision: September 30, 2021 ? Revisions Due: October 31, 2021 ? Final Decision: November 30, 2021 ? Final Manuscript: December 31, 2021 *Dissemination, Composition and Review Procedures* ? A Call for Papers (CFP) will be circulated to invite submissions. ? World leading researchers will be invited as authors. ? To further attracting contributors from around the world, the CFP will be advertised across numerous society newsletters, different websites, mailing lists, conferences, associations, and social media groups, etc. This special issue will run as per the timeline given from submission to publication, while maintaining the rigorous peer review and high standards of the journal. All manuscripts submitted must be original, not under consideration elsewhere, and not previously published. A guide for authors and other relevant information for submission of manuscripts are available on the Guide for Authors? page. Authors can expect their manuscripts to be reviewed fairly, and in a skilled, conscientious manner. To enhance objectivity, and to guarantee high scientific quality and relevance to the subject, three peer reviewers will be selected to evaluate a manuscript. The peer review process shall be designed to avoid bias and conflict of interest on the part of reviewers and shall be composed of experts in the relevant field of research. A key criterion in publication decisions will be the manuscript?s fit for the special issue and the readership of KBS. Papers will be published online as soon as accepted in continuous flow. *Submission Instructions* The submission system will be open around one week before the first paper comes in. When submitting your manuscript please select the article type ?*VSI: Deep Learning*?. Please submit your manuscript before the submission deadline. All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles. Please see an example here: https://www.sciencedirect.com/journal/science-of-the-total-environment/special-issue/10SWS2W7VVV Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and the link to submit your manuscript is available on the Journal?s homepage. -------------- next part -------------- An HTML attachment was scrubbed... URL: From davy.weissenbacher at gmail.com Tue Jun 8 18:19:06 2021 From: davy.weissenbacher at gmail.com (Davy Weissenbacher) Date: Tue, 8 Jun 2021 18:19:06 -0400 Subject: Connectionists: Automatic extraction of medications in tweets @ BioCreative VII, track 3 - Call for Participation Message-ID: Automatic extraction of medications in tweets @ BioCreative VII - track 3 The goal of this task is to extract the spans of medications in tweets. The dataset consists of all tweets posted by 212 Twitter users. This data represents the natural and highly imbalanced distribution of drug mentions on Twitter, with only approximately 0.2% of the tweets mentioning a medication. Training and evaluating a sequence labeler on this data set will closely model the detection of drugs in tweets in practice. See BioCreative - Task 3 for more information. In short: ? 212 Twitter user timelines (~200,000 tweets) annotated with the spans of medications (timelines have their natural and highly imbalanced distribution, ~0.2% of the tweets mention a medication) ? Additional balanced dataset of tweets available (4,975+/4,648-) ? Baseline system available ? Codalab opened at https://competitions.codalab.org/competitions/23925 ? Evaluation period: Sept. 1st, 9:00 UTC - Sept. 4th, 23:59 UTC [Apologies for cross-posting] Best regards, Davy -------------- next part -------------- An HTML attachment was scrubbed... URL: From TSVP at oist.jp Tue Jun 8 22:48:15 2021 From: TSVP at oist.jp (Theoretical Sciences Visiting Program) Date: Wed, 9 Jun 2021 02:48:15 +0000 Subject: Connectionists: Call for Visiting Scholars in Theoretical Sciences Message-ID: As part of an initiative to develop a vibrant program in theoretical sciences, OIST invites applications for Visiting Scholars in the Theoretical Sciences. The Okinawa Institute of Science and Technology (OIST) is a research institution with a Ph.D. program. Outstanding graduate students and faculty are being attracted internationally. OIST is beautifully situated on the tropical island of Okinawa, Japan. Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. The position has a flexible term of 3 to 12 months taken continuously starting no earlier than October 1, 2021. The appointment may be taken while on leave or sabbatical from another university and comes with housing, research funds, and moving allowance. Successful candidates will be eligible to apply for support with salary, where this is necessary to facilitate the visit. No teaching duties come with the position. OIST is an institution with no departments, aiming to eliminate barriers between people working in different fields. It provides a family-friendly working environment including the multilingual Child Development Center and has proactive policies designed to promote a culture of diversity. OIST is an equal opportunity, affirmative action educator, and employer. Further details can be found at https://www.oist.jp/. Applicants should submit a CV including a list of publications, a brief description of the research to date and proposed research while visiting OIST, and the desired period of visit. All visits are subject to the availability of funding. Applications received by August 15, 2021, are guaranteed full consideration. If you have any questions, please send inquiries to: tsvp at oist.jp Interfolio Link: http://apply.interfolio.com/88541 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mengyu_Wang at meei.harvard.edu Tue Jun 8 20:49:51 2021 From: Mengyu_Wang at meei.harvard.edu (Wang, Mengyu) Date: Wed, 9 Jun 2021 00:49:51 +0000 Subject: Connectionists: Harvard Postdoctoral Fellowship in Machine Learning Modeling for Eye Diseases Message-ID: <7D8A072F-A353-4AF7-91C2-BE5D511F4311@meei.harvard.edu> A postdoctoral position is available in Harvard Ophthalmology AI Lab (https://ophai.hms.harvard.edu) under the supervision of Dr. Mengyu Wang (https://ophai.hms.harvard.edu/team/dr-wang/) at Schepens Eye Research Institute of Massachusetts Eye and Ear and Harvard Medical School. The start date is flexible, with a preference for candidates capable of starting in September 2021. The initial appointment will be for one year with the possibility of extension. Review of applications will begin immediately and will continue until the position is filled. Salary for the postdoctoral fellow will follow the NIH guideline commensurate with years of postdoctoral research experience. In the course of this interdisciplinary project, you will collaborate with a team of world-class scientists and clinicians with backgrounds in visual psychophysics, engineering, biostatistics, computer science, and ophthalmology. You will work on developing statistical and machine learning models to improve the diagnosis and prognosis of common eye diseases such as glaucoma, age-related macular degeneration, diabetic retinopathy. You will have access to abundant resources for education, career development and research both from the Harvard hospital campus and Harvard University campus. The successful applicant will: 1. possess or be on track to complete a PhD or MD with background in mathematics, computational science, computer science, statistics, machine learning, computer vision, image processing, biomedical engineering, visual science and ophthalmology or a related field. Fluency in written and spoken English is essential. 1. have strong programming skills (C++, Python, R, MATLAB, etc.) and in-depth understanding of statistics and machine learning. Experience with Linux clusters is a plus. 1. have a strong and productive publication record. 1. have a strong work ethic and time management skills along with the ability to work independently and within a multidisciplinary team as required. Your application should include: 1. curriculum vitae 1. statement of past research accomplishments, career goal and how this position will help you achieve your goals 1. two representative publications 1. contact information for three references The application should be sent to Mengyu Wang via email (mengyu_wang at meei.harvard.edu) with subject "Postdoctoral Application in Harvard Ophthalmology AI Lab". The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at http://www.massgeneralbrigham.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail. Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail. -------------- next part -------------- An HTML attachment was scrubbed... URL: From zk240 at cam.ac.uk Tue Jun 8 18:38:51 2021 From: zk240 at cam.ac.uk (Zoe Kourtzi) Date: Tue, 8 Jun 2021 22:38:51 +0000 Subject: Connectionists: Postdoc positions: Machine Learning and Clinical Informatics for dementia prediction Message-ID: EDoN is recruiting! We're looking for 2 Research Fellows in Machine Learning and Clinical Informatics to join the EDoN team (https://edon-initiative.org) at University of Cambridge. Working with Zoe Kourtzi and alongside expert teams at The Alan Turing Institute and National Physical Laboratory (NPL) these roles focus on the development and implementation of state-of-the-art machine learning approaches and image analysis techniques for early detection of neurodegenerative diseases. The successful candidates will receive multi-disciplinary research training at the interface between machine learning, neuroimaging, and clinical translation. DEADLINE: 4 July 2021 For more details: https://lnkd.in/eGpev5s From publicity at acsos.org Wed Jun 9 06:54:50 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Wed, 9 Jun 2021 12:54:50 +0200 Subject: Connectionists: [Call-for-Tutorials] ACSOS 2021 - 2nd IEEE International Conference on Autonomic Computing & Self-Organizing Systems [DEADLINE: July 2nd, 2021] In-Reply-To: References: Message-ID: *+*************************************************+* *+**************ACSOS 2021 - Call For Workshops & Tutorials ********+**** * *+*************************************************+* *+* *+* *+*? 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 *+ ***+* *+** *+++++++++++++++++++++++++++++++++++++++++++++++++++** **+++++++++++++++++++++++++++++++++++++++++++++++++++* https://conf.researchr.org/track/acsos-2021/acsos-2021-workshops-and-tutorials ***************************************************** ***************** Important? Dates******************** ***************************************************** ? - Tutorial proposal deadline: *July 2nd, 2021* ? - Tutorial acceptance notification: *July 9th, 2021* ? - ACSOS Conference: *September 27th -- October 1st, 2021* All times in Anywhere on Earth (AoE) timezone. ****************************************************** *************** Workshops & Tutorials ***************** ****************************************************** ACSOS workshops will provide a meeting place for presenting novel ideas in a less formal and possibly more focused way than the conferences themselves. Their aim is to stimulate and facilitate active exchange, interaction, and comparison of approaches, methods, and ideas. Contributions will be collected in ACSOS Companion Proceedings, published by IEEE Computer Society Press, and made available as a part of the IEEE Digital Library. For more information, please refer to the ACSOS 2021 call for workshops and tutorials. ***************************************************** ****** About ACSOS2021 Workshops and Tutorials******** ***************************************************** The IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is the premier forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive, and self-organizing. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, vision papers, posters, demos, and a doctoral symposium. ACSOS is now seeking proposals for workshops in the areas of autonomous and self-adaptive systems to run alongside the main conference. We seek workshop proposals on a very broad set of topics within these fields, including - Autonomic and Self-* system properties, theory, engineering, and practice - Data-driven management - Mechanisms and principles for self-organisation and self-adaptation - Socio-technical self-* systems - Autonomic and self-* concepts applied to hardware systems - Convergence of artificial intelligence, cloud, and Internet of Things - Self-adaptive cybersecurity - Cross disciplinary research More detail on these topics can be found in the main ACSOS CFP, which is reported below. ---------------------------------------------------------------------------------------- **************************************************** **************** Goals and Mission **************** **************************************************** The goal of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). Emerging large-scale systems (including data centers, cloud computing, smart cities, cyber-physical systems, sensor networks, and embedded or pervasive environments) are becoming increasingly complex, heterogeneous, and difficult to manage. The challenges of designing, controlling, managing, monitoring, and evolving such complex systems in a principled way led the scientific community to look for inspiration in diverse fields, such as biology, biochemistry, physics, complex systems, control theory, artificial intelligence, and sociology. To address these challenges novel modeling and engineering techniques are needed that help to understand how local behavior and global behavior relate to each other. Such models and practices are a key condition for understanding, controlling, and designing the emergent behavior in autonomic and self-adaptive systems. The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive, and self-organizing. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, vision papers, posters, demos, and a doctoral symposium. ***************************************************** ********************** Scope************************** ***************************************************** We invite novel contributions related to the fundamental understanding of autonomic computing, self-adaption and self-organization along with principles and practices of their engineering and application. The topics of interest include, but are not limited to: ?* /Autonomic and Self-* system properties/: robustness; resilience; efficient resource management; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness; ?* /Autonomic and Self-* systems theory/: bio-inspired and socially-inspired paradigms and heuristics; theoretical frameworks and models; languages and formal methods; queuing and control theory; requirement and goal expression techniques; uncertainty as a first class entity; ?* /Autonomic and Self-* systems engineering/: reusable mechanisms and algorithms; design patterns; programming languages; architectures; operating systems and middlewares; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems; ?* /Autonomic and Self-* systems practice/: case studies from industry, experimental setups and data sets, experience reports with established autonomic and self-* software; ?* /Data-driven management/: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage the behavior of complex systems or establishing self-awareness; ?* /Mechanisms and principles for self-organisation and self-adaptation/: inter-operation of self-* mechanisms; evolution, logic, and learning; addressing large-scale and decentralized system; ?* /Socio-technical self-* systems/: human and social factors; visualization; crowdsourcing and collective awareness; ?* /Autonomic and self-* concepts applied to hardware systems/: self-* materials; self-construction; reconfigurable hardware, self-* properties for quantum computing; ?* /Convergence of artificial intelligence, cloud, and Internet of Things/: moving artificial intelligence to the edge, collective decision processes, in-network learning, distributed reinforcement learning; ?* /Self-adaptive cybersecurity/: intrusion detection, malware attribution, zero-trust networks and blockchain-based approaches, privacy in self-* systems; ?* /Cross disciplinary research/: approaches that draw inspiration from complex systems, artificial intelligence, physics, chemistry, psychology, sociology, biology, and ethology. We invite research papers applying autonomic and self-* approaches to a wide range of application areas, including (but not limited to): ?* smart environments: -grids, -cities, -homes, and -manufacturing; ?* Internet of things and cyber-physical systems; ?* robotics, autonomous vehicles, and traffic management; ?* cloud (including serverless), fog, edge computing and data centers; ?* hypervisors, containerization services, orchestration, operating systems, and middleware; ?* biological and bio-inspired systems. Note that separate calls for Poster, Demo, and In-Practice Report Submissions will also be issued, as well as a call for participation in the Doctoral Symposium. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dftschool at ini.rub.de Wed Jun 9 10:33:35 2021 From: dftschool at ini.rub.de (DFT Summer School) Date: Wed, 9 Jun 2021 16:33:35 +0200 Subject: Connectionists: Neuronal Dynamics for Embodied Cognition - Virtual Summer School 2021 Message-ID: <50b769fb-b212-8413-4a0c-6536d969daea@ini.rub.de> Please forward this advertisement to whoever you think might be interested. This virtual edition of our summer school will consist of two parts: A live-lecture series and a hands-on workshop. Participation in any part of the school is free of charge. The deadline for workshop applications is Aug 11, 2021! Thanks, Raul Grieben and Jan Tek?lve --- Virtual DFT School 2021 This year our summer school "Neural Dynamics for Embodied Cognition" will take place in virtual form from the 6th to the 11th of September, 2021. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and practical introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science, and robotics. Topics addressed include neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. This virtual edition of our summer school will consist of two parts: A live-lecture series and a hands-on workshop. The lecture series will be held as a video conference and provides a step-by-step introduction to Dynamic Field Theory. The two-and-a-half-day project workshop gives students the opportunity to put to use the newly acquired skills in a concrete hands-on modeling project. Students solve the task in our open-source simulation environment under the guidance of a personal tutor. This year's lectures will be open for everyone,? while the one-on-one tutoring limits the number of participants who can take part in the workshop. We also encourage workshop applications by small groups of participants, maybe two or three colleagues who will work together locally on the same project and may share a tutor. Although this format will not retain the appeal of meeting other students in person, we will make this year's experience as interactive as possible. The lecture series will be held from the 6th to the 11th of September and the workshop takes place from the 9th to the 11th of September. Lectures will take place from 3 to 6 p.m. (CET) on each day and personal tutoring will be available on each workshop day. Participation in any part of the school is free of charge. To apply for the lecture series and/or the workshop, please visit our webpage: https://dynamicfieldtheory.org/events/summer_school_2021/ From interdonatos at gmail.com Thu Jun 10 03:51:13 2021 From: interdonatos at gmail.com (Roberto Interdonato) Date: Thu, 10 Jun 2021 09:51:13 +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 *Invited Speakers * *F?bio Duarte MIT Senseable City Lab, USA* *Neave O' Cleary UCL, UK* *Daniel B. Neill NYU, USA* *Michael Szell ITU Copenhagen, Denmark* 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 aclapes at cvc.uab.es Wed Jun 9 12:40:15 2021 From: aclapes at cvc.uab.es (=?utf-8?Q?Albert_Clap=C3=A9s?=) Date: Wed, 09 Jun 2021 18:40:15 +0200 Subject: Connectionists: Call for Papers | Participation: ICCV'2021 Understanding Social Behavior in Dyadic and Small Group Interactions Workshop and Challenge Message-ID: We cordially invite you to participate in our?ICCV?2021 Understanding Social Behavior in Dyadic and Small Group Interactions Workshop & Challenge Workshop?description http://chalearnlap.cvc.uab.es/workshop/44/description/ Human interaction has been a central topic in psychology and social sciences, aiming at explaining the complex underlying mechanisms of communication with respect to cognitive, affective and behavioral perspectives. From a computational point of view, research in dyadic and small group interactions enables the development of automatic approaches for detection, understanding, modeling and synthesis of individual and interpersonal social signals and dynamics. Many human-centered applications for good (e.g., early diagnosis and intervention, augmented telepresence and personalized agents) depend on devising solutions for such tasks. Verbal and nonverbal communication channels are used in dyadic and small group interactions to convey our goals and intentions while building a common ground. During interactions, people influence each other based on the cues they perceive. However, the way we perceive, interpret, react, and adapt to them depends on a myriad of factors (e.g., our personal characteristics, either stable or transient; the relationship and shared history between individuals; the characteristics of the situation and task at hand; societal norms; and environmental factors). To analyze individual behaviors during a conversation, the joint modeling of participants is required due to the existing dyadic or group interdependencies. While these aspects are usually contemplated in non-computational dyadic research, context- and interlocutor-aware computational approaches are still scarce, largely due to the lack of datasets providing contextual metadata in different situations and populations. Topics and Motivation: In line with these, we would like to bring together researchers in the field and from related disciplines to discuss the advances and new challenges on the topic of dyadic and small group interactions. We want to put a spotlight on the strengths and limitations of the existing approaches, and define the future directions of the field. In this context, we accept papers addressing the issues related to, but not limited to, these topics: ? 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 methods in dyadic and small groups; ? Interpretability / Explainability in dyadic and small groups; Workshop papers will be published in two different venues, detailed next. 1. Papers submitted following our ?ICCV Workshop schedule? will use the ICCV format and will be published in the proceedings of ICCV?2021. ? Paper submission (ICCV): July 25, 2021 ? Author notification (ICCV): September 10th, 2021 ? Camera-ready (ICCV): September 16th, 2021 1. Papers submitted following our ?PMLR Workshop schedule? will use the PMLR format and will be published in Proceedings of Machine Learning Research (PMLR). ? Paper submission (PMLR): October 31th, 2021 ? Author notification (PMLR): November 30th, 2021 ? Camera-ready (PMLR): December 20th, 2021 INVITED SPEAKERS: Louis-Philippe Morency, Carnegie Mellon University, USA Alexander Todorov, Princeton University, USA Hatice Gunes, University of Cambridge, UK Daniel Gatica-Perez, IDIAP, Switzerland Qiang Ji, Rensselaer Polytechnic Institute, USA Yaser Sheikh, Carnegie Mellon University, USA Norah Dunbar, UC Santa Barbara, USA Challenge?description http://chalearnlap.cvc.uab.es/challenge/45/description/ To advance and motivate the research on visual human behavior analysis in dyadic and small group interactions, the 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/). 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. -------------- next part -------------- An HTML attachment was scrubbed... URL: From stdm at zhaw.ch Wed Jun 9 11:18:23 2021 From: stdm at zhaw.ch (Stadelmann Thilo (stdm)) Date: Wed, 9 Jun 2021 15:18:23 +0000 Subject: Connectionists: JImaging Special Issue on "Advances in Deep Neural Networks for Visual Pattern Recognition" Message-ID: Dear colleagues, we cordially invite you to submit methodical or applied contributions on advances in deep neural networks for visual pattern recognition to our upcoming special issue in the Journal of Imaging. For details, please see https://www.mdpi.com/journal/jimaging/special_issues/deep_neural_network. Topics of interest include, but are not limited to: - supervised, semisupervised, and unsupervised deep learning - deep reinforcement learning and active vision - principles and best practices for neural network architecture design - generative models for pattern recognition - interpretability and explainability of neural networks - robustness and generalization of neural networks (e.g., confidence, sample efficiency, out-of-distribution performance) - metalearning, Auto-ML - image classification and segmentation - object detection - document analysis, e.g., handwriting recognition - biometrics - industrial applications such as predictive maintenance, automatic quality control, etc. - medical image processing, digital histopathology Best reargds, Thilo Stadelmann & Frank-Peter Schilling Guest Editors -------------- next part -------------- An HTML attachment was scrubbed... URL: From miguel-areias at dcc.fc.up.pt Wed Jun 9 13:17:10 2021 From: miguel-areias at dcc.fc.up.pt (Miguel Areias) Date: Wed, 9 Jun 2021 18:17:10 +0100 Subject: Connectionists: CFP - Workshop on Machine Ethics and Explainability - The Role of Logic Programming (MEandE-LP 2021) Message-ID: <6dde9778-0436-31c5-cfef-50d096571ca7@dcc.fc.up.pt> ========================================================================= ????????????????????????? CALL FOR PAPERS ????????????? MEandE-LP 2021: 1st Workshop on Machine Ethics ????????????? and Explainability-The Role of Logic Programming ????????????????? https://sites.google.com/view/meande2021 ========================================================================= ?? A workshop of 37th International Conference on Logic Programming ?????????????????????? September 20-27, 2021 ???????????????????? (the event will be virtual) ========================================================================= AIMS AND SCOPE ************** Machine Ethics, Explainability are two recent topics that have been attracting a lot of attention and concern in the last years. This global concern has manifested in many initiatives at different levels. There is an intrinsic relation between these two topics. It is not enough for an autonomous agent to behave ethically, it should also be able to explain its behavior, i.e. there is a need for both ethical component and explanation component. Furthermore, an explainable behavior is obviously not acceptable if it is not ethical (i.e., does not follow the ethical norms of the society). In many application domains especially when human lives are involved (and ethical decisions must be made), users need to understand well the system recommendations, so as to be able to explain the reasons for their decisions to other people.One of the most important ultimate goals of explainable AI systems is the efficient mapping between explainability and causality. Explainability is the system ability to explain itself in natural language to average user by being able to say, "I generated this output because x,y,z". In other words, the ability of the system to state the causes behind its decision is central for explainability. However, when critical systems (ethical decisions) are concerned, is it enough to explain system's decisions to the human user? Do we need to go beyond the boundaries of the predictive model to be able to observe a cause and effect within the system? There exists a big corpus of research work on explainability, trying to explain the output of some blackbox model following different approaches. Some of them try to generate logical rules as explanations. However, It is worth noting that most methods for generating post-hoc explanations are themselves based on statistical tools, that are subject to uncertainty or errors. Many of the post-hoc explainability techniques try to approximate deep-learning black-box models with simpler interpretable models that can be inspected to explain the black-box models. However, these approximate models are not provably loyal with respect to the original model, as there are always trade-offs between explainability and fidelity. On the other side, a good corpus of researchers have used inherently interpretable approaches to design and implement their ethical autonomous agents. Most of them are based on logic programming, from deontic logics to non-monotonic logics and other formalisms. Logic Programming has a great potential in these two emerging areas of research, as logic rules are easily comprehensible by humans, and favors causality which is crucial for ethical decision making . Anyway, in spite of the significant amount of interest that machine ethics has received over the last decade mainly from ethicists and artificial intelligence experts, the question "are artificial moral agents possible?" is still roaming around.There have been several attempts for implementing ethical decision making into intelligent autonomous agents using different approaches. But, so far, no fully descriptive and widely acceptable model of moral judgment and decision making exists. None of the developed solutions seem to be fully convincing to provide a trusted moral behavior. The same goes for explainability, in spite of the global concern about the explainability of the autonomous agents' behaviour, existing approaches do not seem to be satisfactory enough. There are many questions that remain open in these two exciting, expanding fields. This workshop aims to bring together researchers working in all aspects of machine ethics and explainability, including theoretical work, system implementations, and applications. The co-location of this workshop with ICLP is intended also to encourage more collaboration with researchers from different fields of logic programming.This workshop provides a forum to facilitate discussions regarding these topics and a productive exchange of ideas. Topics of interest include (but not limited to): ************************************************ * New approaches to programming machine ethics; * New approaches to explainability of blackbox models; * Evaluation and comparison of existing approaches; * Approaches to verification of ethical behavior; * Logic programming applications in machine ethics; * Integrating logic programing with methods for machine ethics; * Integrating logic programing with methods for explainability. SUBMISSIONS *********** The workshop invites two types of submissions: * original papers describing original research. * non-original paper already published on formal proceedings or journals. Original papers must be formatted using the Springer LNCS style available here: * regular papers must not exceed 14 pages (including references) * extended abstract must not exceed 4 pages (excluding references) 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=meandelp2021 IMPORTANT DATES **************** * Paper submission deadline:? August 2, 2021 * Author Notification:??????? August 18, 2021 * Camera-ready articles due:? August 25, 2021 Workshop:???????????????????? TBA (in September 20-27, 2021) PROCEEDINGS *********** Authors of all accepted original contributions can opt for to publish their work on formal proceedings.? Accepted non-original contributions will be given visibility on the workshop web site including a link to the original publication, if already published. Accepted original papers will be published (details will be added soon). LOCATION ******** Fully Virtual. WORKSHOP CHAIRS *************** * Abeer Dyoub, DISIM, University of L'Aquila. * Fabio Aurelio D?Asaro, Logic Group, Department of Philosophy, University of Milan. * Ari Saptawijaya, Faculty of Computer Science, University of ? Indonesia. PROGRAM COMMITTEE ***************** TBA ========================================================================= From joseph.lizier at sydney.edu.au Wed Jun 9 20:11:31 2021 From: joseph.lizier at sydney.edu.au (Joseph Lizier) Date: Thu, 10 Jun 2021 00:11:31 +0000 Subject: Connectionists: Information theory workshop at CNS*2021 -- call for contributed talks Message-ID: Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience will be held once again at the CNS*2021 conference, online. The workshop will be held during sessions over two days of the main conference, July 6 and 7 (time TBA). Our confirmed speakers so far include the following (schedule available soon): * Tatyana Sharpee, Salk Institute * Raul Vicente, University of Tartu * Viola Priesemann, Max Planck Institute for Dynamics and Self-Organization * Fernando Rosas, Imperial College London * Fleur Zeldenrust, Radboud University * Aaron Gutcknecht, University of Goettingen * Lucas Rudelt, Max Planck Institute for Dynamics and Self-Organization * ... more TBA! Also, we would like to call for contributions of talks. If you are interested in contributing a talk, please send a title and abstract to Abdullah Makkeh (abdullah.alimakkeh at uni-goettingen.de) at your earliest convenience (earlier submissions will be prioritised). Please pay attention to the registration for CNS*2021 (early bird deadline and fees), and see our website for more details. We hope you will join us there! Organising Committee: Michael Wibral (co-chair) Abdullah Makkeh (co-chair) Joseph Lizier -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhammer at techfak.uni-bielefeld.de Thu Jun 10 04:48:00 2021 From: bhammer at techfak.uni-bielefeld.de (Barbara Hammer) Date: Thu, 10 Jun 2021 10:48:00 +0200 Subject: Connectionists: Two PhD positions in explainable AI Message-ID: We are happy to announce two open PhD positions in the field of explainable AI in a newly established collaborative research center (TRR318 Constructung Explainability) Where: Machine Learning group chaired by Prof. Barbara Hammer at Bielefeld University, Germany What: two PhD positions in explainable machine learning, salary TVL13, 100%, funded until June 2025 Requirements: Master in Computer Science, Math, Data Science or equivalent, good programming skills, good knowledge of machine learning, enthusiasm for research Applications are welcome until June 23rd. Expected start is September 2021. Details can be found here: Subproject 'Healthy Distrust in Machine Learning Models': https://uni-bielefeld.hr4you.org/job/view/557/research-position-for-the-sfb-trr-318-subproject-c01-bh?page_lang=en Subproject 'Explaning Change': https://uni-bielefeld.hr4you.org/job/view/559/research-position-for-the-sfb-trr-318-subproject-c03-bh?page_lang=en Collaborative research center TRR318: https://www.uni-paderborn.de/en/trr318 -- Prof. Dr. Barbara Hammer Machine Learning Group, CITEC Bielefeld University D-33594 Bielefeld Phone: +49 521 / 106 12115 From marcin at amu.edu.pl Wed Jun 9 16:40:50 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 9 Jun 2021 22:40:50 +0200 Subject: Connectionists: =?utf-8?q?FINAL_Call_for_Position_Papers_--_16th_?= =?utf-8?q?Conference_on_Computer_Science_and_Intelligence_Systems_=28FedC?= =?utf-8?q?SIS=E2=80=992021=3B_ranked_B_in_CORE2021=29_--_ONLINE=2C_2-5_Se?= =?utf-8?q?ptember=2C_2021?= In-Reply-To: <16a6a0be-504e-1f7c-3dc7-2b5469b178f2@ibspan.waw.pl> References: <16a6a0be-504e-1f7c-3dc7-2b5469b178f2@ibspan.waw.pl> Message-ID: CALL FOR POSITION PAPERS 16th Conference on Computer Science and Intelligence Systems (FedCSIS?2021) Online, 2-5 September, 2021 FedCSIS is ranked B in CORE2021 FedCSIS IEEE conference number: #52320 Strict submission deadline: June 14th, 2021, 23:59 UCT (no extensions) www.fedcsis.org ********************* 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. The FedCSIS 2021 Federated Conference invites submissions of POSITION PAPERS to its respective events. Position papers must not exceed 8 pages and they should relate to an ongoing research or experience. Position papers will be presented by the authors alongside regular papers. Position papers may be also submitted as DEMO PAPERS and presented as demonstrations of software tools and products. They should describe non-for-profit software tools in a prototype-, alpha-, or beta-version. We invite TWO TYPES OF POSITION PAPERS: - EMERGING RESEARCH PAPERS present preliminary research results from work-in-progress based on sound scientific approach but presenting work not completely validated as yet. They must describe precisely the research problem and its rationale. They must also define the intended future work including the expected benefits from solution to the tackled problem. - CHALLENGE PAPERS propose and describe research challenges in theory or practice of computer science and information systems. The papers in this category must be based on deep understanding of existing research or industrial problems and should be defining new promising research directions. FedCSIS TRACKS AND TECHNICAL SESSIONS The FedCSIS 2021 consists of five conference Tracks, hosting Technical Sessions, and a Doctoral Symposium: 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 POSITION PAPER SUBMISSION AND PUBLICATION: Position papers will be published as a Volume of the Annals of Computer Science and Information Systems series (https://annals-csis.org/), with an ISBN, ISSN and DOI numbers. The papers will be submitted for indexing to DBLP Computer Science Bibliography and Google Scholar (see, also: https://annals-csis.org/indexation). The Annals-CSIS volume will NOT be placed in the IEEE Digital Library and will NOT be submitted to Clarivate Analytics Web of Science. Authors should submit a position paper in English, carefully checked for correct grammar and spelling, using the on-line submission procedure. The guidelines for paper formatting provided at the conference website ought to be used for all submitted papers. The required submission format is the same as the camera-ready format. Please check, and carefully follow, the instructions and templates provided. Papers that are out of the conference scope of the selected event, or that contain any form of (self)plagiarism will be rejected without reviews. All position papers will be refereed before inclusion in the conference program. IMPORTANT DATES + Position paper submission: 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 ABOUT FedCSIS Conference Series FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and information systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions focused on their scientific and professional interests in computer science and information systems. -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From thanh.dinhvan at gmail.com Thu Jun 10 10:47:30 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Thu, 10 Jun 2021 21:47:30 +0700 Subject: Connectionists: Call for Papers: Recently Published Research Track at KR 2021 (deadline: June 27) Message-ID: <77767ee7-8083-1721-a84e-f9185e64d9a5@gmail.com> Call for Papers *Recently Published Research Track* at the 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 3-12, 2021, Virtual (originally: Hanoi, Vietnam) https://kr2021.kbsg.rwth-aachen.de ------------------ Important Dates ------------------ Submission deadline: June 27, 2021, Notification: July 30, 2021 Conference: November 3-12, 2021 ------------------ The 18th International Conference on Principles of Knowledge Representation and Reasoning, KR 2021, invites submissions of abstracts of papers previously published in journals and conference proceedings for the Recently Published Research Track. The track is designed to provide a forum to discuss recent research on topics related to KR that may not be immediately familiar or easily accessible to the KR community. The track seeks papers that fall into one or both of the following two categories: 1) Papers that -- bridge KR to other areas of AI, computer science, or to other disciplines for which an interface with KR exists (this includes database theory, game theory, social choice, logic and philosophy, etc.); -- bridge KR to areas that make use of KR, such as multi-agent systems, planning, natural language understanding, machine learning, explainable AI; or -- go beyond the commonly-understood boundaries of KR. 2) Papers that are tightly related to KR and -- have been published in journals but have not been presented at workshops or conferences; -- have been presented at conferences that are not typically attended by the KR community; or -- have been accepted at general high-profile AI conferences such as IJCAI, ECAI, or AAAI, where the time allotted has not allowed for full discussion of all key aspects of the paper. Submitted papers need only be of interest to a subcommunity in KR (like DL, argumentation, NMR, etc.). However, they need to be made friendly to a KR audience. Submission materials: ? A cover page (single page) listing the title, the authors, a complete reference to the original paper, and a public or privately accessible url from which the paper can be downloaded. A list of keywords is also expected. Finally, the cover page must contain a statement that the work the submission is based on has not been already presented to a KR audience in a major forum. ? A one-page (preferred) and no more than two-page extended abstract of the paper following the format for regular paper KR 2021 submissions. The abstract should present the main contributions of the paper, discuss the relevance of the paper to KR, and explain the significance of the results. ? A single pdf file with the materials should be submitted to the KR submission site at EasyChair. The authors should mark the submission as Recently Published Research. Submissions must meet the following criteria: a. Candidate papers must have been published in a journal or a conference proceedings in 2019 or later. b. Papers that are in press may be submitted as long as the final camera-ready version is available. c. Extensions of papers that have been previously presented at a KR conference are not eligible for this track. Extended abstracts of the accepted papers will be linked from the conference website. Authors of accepted papers will present their work at the KR conference, focussing on its significance and relevance to KR. Significant time will be allocated for discussion of the interdisciplinary aspects of the work and its potential impact on future research opportunities for KR. Note that due to the ongoing global Covid-19 pandemic, KR 2021 will take place as a fully online event. For any questions regarding suitability of a submission or any other aspect of the track, please email the special track program co-chairs: Vladimir Lifschitz, vl at cs.utexas.edu Pierre Marquis, marquis at cril.univ-artois.fr From thanh.dinhvan at gmail.com Thu Jun 10 10:50:20 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Thu, 10 Jun 2021 21:50:20 +0700 Subject: Connectionists: Call for Applications: Doctoral Consortium of KR 2021 (deadline: June 30) Message-ID: <67ebc28b-470f-8681-1b23-43f211c05bc6@gmail.com> KR Doctoral Consortium Call for Applications November 3-12, 2021 Virtual (Originally: Hanoi, Vietnam) https://kr2021.kbsg.rwth-aachen.de The 18th International Conference on Principles of Knowledge Representation and Reasoning (KR 2021) invites PhD students to apply for the Doctoral Consortium program. 1) AIMS AND SCOPE The Doctoral Consortium (DC) is a student mentoring program bringing together PhD students and senior researchers from the area of KR. The aims of the consortium are: * to provide a forum for students to present their current research, ? and receive feedback from other students and senior researchers; * to promote contacts among PhD students working in similar areas; * to support students with information and advice on academic, ? research, and industrial careers. The DC is intended for PhD students who have a specific research proposal and some preliminary results, but who have sufficient time prior to completing their dissertation to benefit from the consortium experience. Preference will be given to students satisfying these criteria, but well-motivated applications from students who are at earlier or later stages of their doctoral studies will still be considered. Accepted students will participate in several dedicated DC events, which are planned to include a lightning talk session, a poster session, a mentoring event, and a DC invited talk. Details will be announced in due time. Each student will be given ample time to present their work and therefore be able to fully benefit from direct feedback from the assigned senior researcher mentor and the wider KR conference audience. Note that due to the ongoing global Covid-19 pandemic, KR 2021 and all of the DC events will take place online. 2) APPLICATION SUBMISSION Applications must be submitted through the EasyChair conference system (a link will be provided later). Each application must contain the following elements combined into a single PDF document: (1) Thesis summary. A description of the problem being addressed, your ??? motivation for addressing the problem, proposed plan of research, ??? the progress to date (what you have already achieved and what ??? remains to be done), and related work. It must be four pages ??? maximum and use the same style as for KR paper submissions. (2) Curriculum Vitae. A description of your background and relevant ??? experience (research, education, employment), of two pages ??? maximum. (3) Letter of recommendation. A letter from your thesis advisor that ??? states that he/she supports your participation in the DC. (4) Optionally, a suggestion of up to 5 potential mentors with similar ??? research interests, who could give good advice on technical ??? aspects related to the work, and/or career opportunities. The selection process will consider the quality of the submitted proposal and the stage of the student's PhD project. Doctoral students who submit to the DC are permitted to have previously published their research, and are encouraged to submit papers to workshops associated to KR 2021. 3) IMPORTANT DATES Application deadline: June 30, 2021 Acceptance notification: July 21, 2021 Doctoral Consortium: November 3 - 12, 2021 For further information, please contact the DC chairs: Jens Classen, Simon Fraser University (jens_classen at sfu.ca) Magdalena Ortiz, TU Vienna (ortiz at kr.tuwien.ac.at) From laszlojeni at cmu.edu Thu Jun 10 18:52:35 2021 From: laszlojeni at cmu.edu (Laszlo A. Jeni) Date: Thu, 10 Jun 2021 18:52:35 -0400 Subject: Connectionists: Call for papers & challenge participation: 1st Vision for Vitals Challenge & Workshop @ ICCV 2021 Message-ID: ********************************************************************** 1st Vision for Vitals Challenge & Workshop In conjunction with ICCV 2021 (virtual) (Oct 11th- Oct 17th, 2021) Website: https://vision4vitals.github.io Codalab: https://competitions.codalab.org/competitions/31978 CMT is open: https://cmt3.research.microsoft.com/V4V2021 ********************************************************************** --------------- CALL FOR PAPERS --------------- Over the past few years a number of research groups have made rapid advances in remote PPG methods for estimating heart rate from digital video and obtained impressive results. How these various methods compare in naturalistic conditions, where spontaneous movements, facial expressions, or illumination changes are present, is relatively unknown. Most previous benchmarking efforts focused on posed situations. No commonly accepted evaluation protocol exists for estimating vital signs in spontaneous behavior with which to compare them. To enable comparisons among alternative methods, we present the 1st Vision for Vitals Workshop & Challenge (V4V 2021). This topic is germane to both computer vision and multimedia communities. For computer vision, it is an exciting approach to longstanding limitations of vital signs estimating approaches. For multimedia, remote vital signs estimation would enable more powerful applications. Workshop (main) track ~~~~~~~~~~~~~~~~~~~~~ The main track is intended to bring together computer vision researchers whose work is related to vision based vital signs estimation. We are soliciting original contributions which address a wide range of theoretical and application issues of remote vital signs estimation, including but not limited to: - Methods for extracting vital signals from videos, including pulse rate, respiration rate, blood oxygen, and body temperature. - Vision-based methods to support and augment vital signs monitoring systems, such as face/skin detection, motion tracking, video segmentation, and optimization. - Vision-based vital signs measurement for affective, emotional, or cognitive states. - Vision-based vital signs measurement to assist video surveillance in-the-wild. - Vision-based vital signs measurement to detect human liveness or manipulated images (deep fake detection). - Applications of vision-based vital signs monitoring - User interfaces employing vision-based vital signs estimation Challenge Track ~~~~~~~~~~~~~~~ V4V Challenge evaluates remote PPG methods for vital signs estimation on a new large corpora of face videos annotated with corresponding high-resolution videos and vital signs from contact sensors. The goal of the challenge is to reconstruct the vital signs of the subjects from the video sources. The participants will receive an annotated training set and a test set without annotations. ---------- SUBMISSION ---------- For paper submission, please use the CMT site: https://cmt3.research.microsoft.com/V4V2021 For participating in the challenge, please visit the CodaLab page for more details: https://competitions.codalab.org/competitions/31978 https://vision4vitals.github.io --------------- IMPORTANT DATES --------------- Challenge Track May 21th: Challenge site opens, training data available July 9th: Testing phase begins July 30th: Competition ends (challenge paper submission - optional) Workshop Track July 26th: Paper submission deadline August 9th: Notification of acceptance August 16th: Camera ready submission ------------------- WORKSHOP ORGANIZERS ------------------- Laszlo A. Jeni, Carnegie Mellon University, USA Lijun Yin, Binghamton University, USA Data chairs: Ambareesh Revanur, Carnegie Mellon University, USA Zhihua Li, Binghamton University, USA Umur A. Ciftci, Binghamton University, USA -- +------------------------------------------ | Laszlo A. Jeni, PhD | Systems Scientist (faculty) | Robotics Institute | Carnegie Mellon University, | Web: http://www.laszlojeni.com | Email: laszlojeni at cmu.edu | Tel: (+1) 412-268-4461 +------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From smzhouy at gmail.com Thu Jun 10 16:18:12 2021 From: smzhouy at gmail.com (Shangming Zhou) Date: Thu, 10 Jun 2021 21:18:12 +0100 Subject: Connectionists: PhD Studentship in AI Driven Population Health Study In-Reply-To: References: Message-ID: Dear All, Applications are invited for a three-year PhD studentship. The studentship will start on* 1 October, 2021, or as soon as possible after that.* *Project Description* Medication errors, including those in prescribing, dispensing, or administration of a drug, are the single most preventable cause of patient harm. They have a significant impact on the efficiency of the workflow in pharmacy, raise safety concerns for patients, and result in a financial burden on the healthcare systems. Within cancer treatment, emphasis on reducing the number of medication errors has been an active research area for many years, with understanding that interdisciplinary approaches are vital to assure continuous improvement. Opportunities created by the reduction of transaction times for complex computational processes and use of machine learning to support clinical decision making, create a potential catalyst for the development of tools for reduction in medication errors. This PhD studentship offers an exciting opportunity of exploring AI and machine learning with large clinical data sets residing within electronic health records to create methods to assure the effective use of systemic anticancer treatment (including traditional cytotoxic chemotherapy, immunotherapy, novel oral therapies etc.) without compromising patient safety. The studentship will require application of interdisciplinary skills to enable cooperation between the research, clinical, industry and patient communities in the development of a novel approach which could enhance clinical outcomes. *Supervision Team* - Professor Shang-Ming Zhou (shangming.zhou at plymouth.ac.uk) https://scholar.google.com/citations?user=iWiXGWMAAAAJ&hl - Dr Edward Meinert ( edward.meinert at plymouth.ac.uk) https://scholar.google.com/citations?hl=en&user=7V-WsrwAAAAJ - Mrs Andrea Preston (Andrea.Preston at uhbw.nhs.uk) This PhD student will be academically advised by Professor Shang-Ming Zhou and Dr Edward Meinert, research scientists with research interests in applied artificial intelligence and machine learning, computing science in health and care. The student will also be advised by Mrs Andrea Preston, a Macmillan Divisional Lead Haematology & SW Cancer Commissioning Pharmacist. This supervision team will assure the execution of a world-class PhD embedded into the wider digital health ecosystem at the University of Plymouth. *Eligibility* ? This PhD studentship is offered for UK and international applicants. ? Applicants should have: 1) A first or upper second-class honours degree, and a relevant Master?s qualification in Computing Science, Data Science, Statistics, Health Informatics, Medical Informatics, Bioinformatics, or any areas related; 2) Interest in working with real-world problems and large data sets; 3) Excellent proficiency in English and outstanding communication skills; 4) Strong analytical and programming skills; 5) A ?can do?, positive attitude with an aspiration to change the world. ? Experience in machine learning is advantageous. ? Experience in publication of peer-reviewed literature is desirable. *International Students* International applicants should meet the English language requirements, please see the details from the University?s website https://www.plymouth.ac.uk/international/how-to-apply/english-language-requirements . IELTS Academic 6.5 or above (or equivalent) with 5.5 in each individual category is commonly required by the University?s Doctoral College. *How to Apply* *To apply for this position, *please visit: https://www.plymouth.ac.uk/student-life/your-studies/research-degrees/postgraduate-research-studentships and select the studentship you would like to apply for. *Please clearly state the name of the studentship that you are applying for on your Personal Statement.* A research proposal is required. Please see: https://www.plymouth.ac.uk/student-life/your-studies/research-degrees/applicants-and-enquirers for a list of supporting documents to upload with your application. *Enquiry * If you wish to discuss this project further informally, please contact Professor Shang-Ming Zhou (shangming.zhou at plymouth.ac.uk), Dr Edward Meinert (edward.meinert at plymouth.ac.uk), or Mrs Andrea Preston ( Andrea.Preston at uhbw.nhs.uk). For more information on the admissions process, please contact doctoralcollege at plymouth.ac.uk. *Closing Date* *The closing date for applications is 30 July 2021. *Shortlisted candidates will be invited for interview. Best wishes Shangming Zhou _______________________________________________________ Shang-Ming Zhou Professor in e-Health, Fellow of the Higher Education Academy, Centre for Health Technology, Faculty of Health, University of Plymouth, Plymouth, PL4 8AA, UK Tel: +44 (0)1752 586513 Email: shangming.zhou at plymouth.ac.uk ; smzhou at ieee.org https://www.plymouth.ac.uk/staff/shang-ming-zhou https://www.hdruk.ac.uk/people/dr-shang-ming-zhou https://www.plymouth.ac.uk/research/centre-for-health-technology -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Sun Jun 13 08:37:14 2021 From: mtanveer at iiti.ac.in (M Tanveer) Date: Sun, 13 Jun 2021 18:07:14 +0530 Subject: Connectionists: Call for Papers - ICONIP 2021 (Paper Submission Deadline: June 30, 2021) Message-ID: *Call for Submissions* 28th International Conference on Neural Information Processing (ICONIP 2021), December 8 ? 12, 2021, Bali, Indonesia (Hybrid Conference) ICONIP is the annual flagship conference organized by the Asia Pacific Neural Network Society (APNNS). ICONIP 2021 aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress and achievement, through its regular sessions, special sessions, tutorials, and workshops. *Conference Page*: https://iconip2021.apnns.org/ *Submission Page:* https://easychair.org/my/conference?conf=iconip2021 *Special Sessions Page:* https://iconip2021.apnns.org/call-for-special-sessions/ *Tutorials Page:* https://iconip2021.apnns.org/call-for-tutorials/ *Plenary Speakers* 1. Prof. J?rgen Schmidhuber, University of Lugano, Switzerland 2. Prof. Soo-Young Lee, Korea Advanced Institute of Science and Technology, Korea 3. Prof. P.N. Suganthan, Nanyang Technological University, Singapore 4. Prof. Guang-Bin Huang, Nanyang Technological University, Singapore *Invited Speakers* 1. Prof. Naoyuki Kubota, Tokyo Metropolitan University, Japan 2. Prof. Tom Gedeon, Australian National University, Australia 3. Prof. Nojun Kwak, Seoul National University, Korea The Proceedings will be published in Springer?s series of Lecture Notes in Computer Science and Communications in Computer and Information Science. Selected papers will be published in a special issue of an SCI journal. Previous ICONIPs in LNCS, Springer: https://link.springer.com/conference/ iconip Final papers after acceptance will normally be 10 pages up to be a maximum of 12 pages in length, including references and appendices. Submitted papers should be no longer than 12 pages. Submission Page: https://easychair.org/ Important Dates ? Paper Submissions: June 30, 2021 ? Tutorial Proposal Submissions: July 1, 2021 ? Tutorial Proposal Acceptance: July 8, 2021 ? Paper Acceptance: August 31, 2021 ? Camera Ready: September 30, 2021 ? Conference Date: December 8 ? 12, 2021 ICONIP2021 features two Special Events 14th International Workshop on Artificial Intelligence and Cyber Security 2021 [AICS2021] CDMC2021 data mining competition If you have any queries, please contact us: iconip2021 at apnns.org Best regards, Publicity Co-Chair - ICONIP 2021 ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ieee.besc2021 at gmail.com Mon Jun 14 00:38:09 2021 From: ieee.besc2021 at gmail.com (Md Rafiqul Islam) Date: Mon, 14 Jun 2021 14:38:09 +1000 Subject: Connectionists: Special Issue on "Robust Visual Analytics and Its Applications" Message-ID: Dear colleagues, We are pleased to announce the upcoming publication of a *special issue* on *Robust Visual Analytics and Its Applications*. This special issue aims to highlight recent research and developments, trends, solutions and applications of robust visual analytics. In this context, it will present recent advances in various fields. Guest Editors for this special issue are *Imran Razzak (*Deakin University, Australia), *Jianlong Zhou (*University of Technology Sydney, Australia), *Ibrahim A Hameed *(NTNU Norway), and *Md Rafiqul Islam (*University of Technology Sydney, Australia) The paper submission deadline is *October 31, 2021*. Please find the full call for papers here . *Journal Homepage*: https://www.atlantis-press.com/journals/hcis Best Regards, Md Rafiqul Islam *Guest Editor, Human-Centric Intelligent Systems* -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Call for Paper- Special Issue.pdf Type: application/pdf Size: 153644 bytes Desc: not available URL: From mtanveer at iiti.ac.in Sun Jun 13 08:38:43 2021 From: mtanveer at iiti.ac.in (M Tanveer) Date: Sun, 13 Jun 2021 18:08:43 +0530 Subject: Connectionists: BDA2021: Call for Papers and Proposals Message-ID: BDA2021: Call for Papers and Proposals Ninth International Conference on Big Data Analytics December 15-18, 2021 (BDA2021) Indian Institute of Information Technology Allahabad Prayagraj, Uttar Pradesh, India http://www.bda2021.org/ The 9th International Virtual Conference on Big Data Analytics (BDA 2021) will be held during December 15-18, 2021 in an online mode. The conference will be organized by Indian Institute of Information Technology Allahabad (IIITA). BDA 2021 provides an international forum for researchers and industry practitioners to share their original research results, practical experiences and thoughts on big data from different perspectives including storage models, data access, computing paradigms, analytics, information sharing and privacy, redesigning mining algorithms, open issues and future research trends. BDA 2021 invites original, technically sound, high-quality research papers proposing novel solutions addressing the problems related to big data analytics as well as case studies and practical experiences with big data. Major topics of interest to the conference include, but are not limited to: Analytics as a Service, Architectural Design for Big Data, Big Data Analytics for Governance, Conceptual/cognitive/programming Models for Big data analytics, Clustering of Big Data Data Fusion and Multi Modal Analytics, Data Models for Big Data Analytics, Domain-specific Analytics; Index Structures for Big Data Analytics, Interaction Design for Exploratory Analytics; Machine Learning techniques for Big Data, Large-scale recommendation systems and graph analysis; Model Discovery from Big Data, NoSQL and non-standard Data Models, Physical Data Organization for Big Data, Predictive Modelling, Rule Mining from Big Data, Scalability and Performance issues; Security, privacy and legal issues specific to big data, Semantics of Big Data, Streaming Data Analytics Summarization and Materialized views, Topic Modelling, Unstructured and Semi-structured Data Mining Research Track Submissions: Each paper should contain an abstract of approximately 300 words having a page limit of 20 pages in the LNCS style. The submissions including the title page, references and appendix. For preparing the manuscript, please see instructions for authors by Springer, in the Lecture Notes in Computer Science series (LNCS). The BDA proceedings is expected to be published by Springer's LNCS series (approval pending). Important Dates: (All times in PST) Full paper submissions: August 2, 2021, 23:59 PST Research paper notifications: October 10, 2021, 23:59 PST Camera-ready submission: October 20, 2021, 23:59 PST Workshops and Tutorials: The BDA 2021 organizing committee invites proposals for half ??? day and full - day workshops and tutorials on established and emerging topics in the areas of Big Data Analytics and other related areas. Information for submission of each type of proposal is provided on the conference website. Visit www.bda2021.org for the details of call for WORKSHOP and TUTORIAL proposals. Honorary Chair: P. Nagabhushan, Director, IIIT Allahabad, India General Chair: Sonali Agarwal, IIIT Allahabad, India Steering Committee Chair: P. Krishna Reddy, IIIT Hyderabad, India Program Committee Chairs: Satish Narayana Srirama, University of Hyderabad, India; Jerry Chun-Wei Lin, Western Norway University of Applied Sciences, Bergen, Norway; Raj Bhatnagar, University of Cincinnati, USA Proceeding Chair: Sanjay Chaudhary, Ahmedabad University, India Workshop Chairs: Partha Pratim Roy, IIT Roorkee, India; Joao Gama, University of Porto, Portugal; Pradeep Kumar, IIM, Lucknow, India Tutorial Chairs: Mukesh Prasad, University of Technology Sydney, Australia; Anirban Mondal, Asoka University, India; Pragya Dwivedi, MNNIT Allahabad, India Panel Chairs: Srinath Srinivasa, IIIT Bangalore, India; Rajeev Gupta, Microsoft; Sanjay Kumar Madria, Missouri University of Science and Technology, USA Publicity Chairs: M Tanveer, IIT Indore, India; Deepak Gupta, NIT Arunachal Pradesh, India; Navjot Singh, IIIT Allahabad, India Organizing Committee Members: Shekhar Verma, IIIT Allahabad, India; Pavan Chakraborty, IIIT Allahabad, India; Vrijendra Singh, IIIT Allahabad, India; Manish Kumar, IIIT Allahabad, India; Krishna Pratap Singh, IIIT Allahabad, India; Triloki Pant, IIIT Allahabad, India; S. Venkatesan, IIIT Allahabad, India; Kokila Jagadeesh, IIIT Allahabad, India; Narinder Singh Punn, IIIT Allahabad, India Kind regards, ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Fri Jun 11 12:27:35 2021 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Fri, 11 Jun 2021 17:27:35 +0100 Subject: Connectionists: UK Healthcare text analytics conference (HealTAC) 2021 - final call for participation Message-ID: *[**Apologies** for cross-posting]* ************************************************* * Healthcare Text Analytics Conference HealTAC 2021 June 16-18, 2021 http://healtex.org/healtac-2021/ * ************************************************* This is the final call for participation to HealTAC 2021. The conference will be organised *online* - we already have over 100 registered participants! *Registration:* - Free for students, ?10 for all others - http://healtex.org/healtac-2021/registration/ *Keynotes:* - *Dr Aur?lie N?v?ol*: ?Responsible bioNLP in the making: contributions from ethics, reproducibility and the state of NLP? - *Prof Maria Liakata*: ?Opportunities, challenges and progress in longitudinal natural language processing for mental health?. *Panels and fora*: - PhD forum - Breaking the deadlock: working towards better access to clinical free text data for research - Healthcare Speech Analytics: challenges and opportunities - The 5th Healtex Industry Forum - Open community forum *Research presentations, posters and demos:* - 10 oral presentations - over 20 posters and demos *Tutorials (June 16th):* - MedCAT/Cogstack - Komenti *Social events:* - Virtual reception and prizes on June 17th Following the conference, there will be an open call for papers for in Frontiers in Digital Health . We are looking forward to welcoming you in June 2021! HealTAC 2021 is supported by Healtex , HDR UK and Frontiers . Follow the conference announcements at #HEALTAC2021 . -------------- next part -------------- An HTML attachment was scrubbed... URL: From toussaint at tu-berlin.de Mon Jun 14 03:26:41 2021 From: toussaint at tu-berlin.de (Marc Toussaint) Date: Mon, 14 Jun 2021 09:26:41 +0200 Subject: Connectionists: Tenure Track Professorship @ TU Berlin in Computer Science Message-ID: <600512d0-7844-0093-540c-13f3723c1cbc@tu-berlin.de> Tenure Track Professorship @ TU Berlin in Computer Science Application deadline: July 9th, 2021 TU Berlin has an open tenure track professorship position (initially W1, with tenure track option to full professorship W3). The topic is open to all "core areas of Computer Science". Please see details here: https://tub.stellenticket.de/en/offers/93380/ Best, Marc -- Marc Toussaint https://www.user.tu-berlin.de/mtoussai/ From A.Soltoggio at lboro.ac.uk Mon Jun 14 06:14:30 2021 From: A.Soltoggio at lboro.ac.uk (Andrea Soltoggio) Date: Mon, 14 Jun 2021 10:14:30 +0000 Subject: Connectionists: Adaptive Machines: Leveraging Neuroscience for Lifelong Learning Systems Message-ID: Dear Connectionists, I?d like to bring your attention to the Research Topic ?Adaptive Machines: Leveraging Neuroscience for Lifelong Learning Systems? to be co-hosted by Frontiers in Neuroscience, Robotics and AI, Big Data, Artificial Intelligence, Neurorobotics and Computational Neuroscience. The article submission deadline is the 30th of September. Link: https://www.frontiersin.org/research-topics/20053/adaptive-machines-leveraging-neuroscience-for-lifelong-learning-systems#overview Description: Artificial intelligence has always sought inspiration in the brain. Artificial neural networks (ANNs), in particular, were modeled after their biological counterparts (biological neural networks, BNNs). However, state-of-the-art deep networks are drastically different from BNNs. Their architectures (at both the single-neuron and macro levels), learning algorithms, and failure conditions share little in common with brain circuit dynamics. In particular, state-of-the-art deep learning is optimized for single, well-defined, static tasks. Deep networks struggle to learn multiple or evolving tasks over time (i.e., continual learning) or to adjust their processing based on environmental conditions. They are also less modular than BNNs, and thus less energy efficient, and utilize little-to-no feedback signals. We believe that deep networks suffer from these limitations because their modeling of brain dynamics is too superficial. Modeling more sophisticated neural mechanisms is therefore key for deep networks to achieve continual or lifelong learning and to cope with open-ended, dynamic environments. The goal of this Research Topic is to publish novel models and/or algorithms that expand the capabilities of deep learning (e.g., achieve better continual learning) by incorporating additional properties of BNNs. We are also interested in neuroscience research that elucidates mechanisms that can be leveraged by the AI community. Neuroscience has uncovered a wide range of learning and regulatory mechanisms, at scales ranging from single molecules to the entire nervous system, that help the brain learn, remember, and adapt. These include replay (systems-level consolidation), neuromodulation, neurogenesis, neuroevolution, attention, homeostatic plasticity, and synaptic consolidation. There exist some deep learning techniques motivated by these mechanisms (e.g., experience replay or attention networks), but they have rarely been used for lifelong learning. As such, our focus will be on approaches that leverage brain-like principles---ideally biologically well-grounded---to solve problems currently beyond the capabilities of the state of the art. We will also welcome neuroscience research that helps to elucidate the brain?s mechanisms, in the hope that they can be used by the next generation of machine learning models. The scope of this Research Topic covers: (1) biologically inspired techniques in deep learning (2) neuroscience research on how the brain facilitates learning and adapts to different contexts We seek to address continual or lifelong learning, transfer learning, and other ML scenarios that go beyond the traditional, train-then-test learning paradigm. Since machine learning is an experimental field, a paper must include experimental results to be accepted; however, we encourage authors to include theoretical analyses of their methods. We aim to collect the following types of manuscripts: Original Research and Brief Research Reports. Since the goal of this Research Topic is to publish highly novel, experimentally grounded work, we are not interested in Reviews (Systematic, Policy and Practice, etc.), General Commentaries, or Opinions. In addition, since the editorial board does not include medical experts, we cannot accept Clinical Trials or Study Protocols. The Research Topic will be edited by Rolando Jose Estrada, Georgia State University, USA Andrea Soltoggio, Loughborough University, UK Praveen K. Pilly, HRL Laboratories, USA Vincenzo Lomonaco, University of Pisa, Italy, Davide Maltoni, University of Bologna, Italy. Please consider submitting your original research to this Research Topic. Do not hesitate to get in touch if you wish to discuss your contribution. Best wishes, Andrea -- Dr. Andrea Soltoggio (he/him or they/them) Senior Lecturer (Associate Professor) in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio at lboro.ac.uk Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html -- Dr. Andrea Soltoggio (he/him or they/them) Senior Lecturer (Associate Professor) in Artificial Intelligence Department of Computer Science, School of Science & Intelligent Automation Centre https://www.intelligent-automation.org.uk/about-us/centre-staff & Centre for Information Management https://www.lboro.ac.uk/departments/sbe/cim/ Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Email: a.soltoggio at lboro.ac.uk Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Mon Jun 14 06:00:07 2021 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Mon, 14 Jun 2021 12:00:07 +0200 Subject: Connectionists: =?utf-8?q?18_PhD_positions_on_ICT_at_the_Departme?= =?utf-8?q?nt_of_Engineering_=E2=80=9CEnzo_Ferrari=E2=80=9D_-_University_o?= =?utf-8?q?f_Modena_and_Reggio_Emilia_-_UNIMORE_=28Italy=29?= Message-ID: <3a2737c8-d68f-f75c-bd1a-8014113a9ebf@unimore.it> We are glad to announce that 18 PhD positions are available for the PhD Course in "Information and Communication Technologies" - ICT (www.ict.unimore.it) at the Department of Engineering "Enzo Ferrari" (http://www.ingmo.unimore.it/site/en/home.html) of the University of Modena and Reggio Emilia -? UNIMORE (Italy) on advanced research topics in the fields of Computer Science and Engineering, Electronics, Telecommunications and Automation Control. ?We are looking for motivated candidates will to undertake challenging but rewarding research projects. ?The minimum duration of the course is three years and the call for applicants is available at https://www.unimore.it/didattica/doctorate.html?ID=1089 The deadline for applications is 06/07/2021, 1:00 PM (Italian time, CEST). The programme is organized in three curricula: Computer engineering and science; Electronics and telecommunications; Industrial Applications of ICT. The latter is part of the Doctoral School E4E - "Engineering for Economics - Economics for Engineering". Research areas and topics are described at www.ict.unimore.it/ResearchTopics.asp The PhD course avails itself of a board of prestigious international advisors. The activity entails a minimum four months stage in laboratories of foreign research institutions or Universities. Please take a look at our site (www.ict.unimore.it) and the testimonials of our PhDs who have acquired prestigious academic and working positions. Scholarships have a minimum annual amount of euro 15343. Additional benefits such as for instance accommodation facilities and subsidies are available. Details are available in the articles no. 9 and 10 of the call for applications. Feel free to forward this email and information to colleagues and potential applicants. Prof. Sonia Bergamaschi ICT Doctorate? Coordinator -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Rector's Delegate for Teaching | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From nicholas.cummins at ieee.org Mon Jun 14 11:02:36 2021 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Mon, 14 Jun 2021 16:02:36 +0100 Subject: Connectionists: Final CfP for Socially Informed AI for Healthcare Workshop, ACM ICMI 2021 (Extended deadline: June 27, 2021) Message-ID: Dear Colleagues, We have extended the deadline for our workshop titled ?Socially-Informed AI for Healthcare: Understanding and Generating Multimodal Nonverbal Cues? which takes place as part of the 23rd ACM International Conference on Multimodal Interaction 2021 in October 2021 in Montreal, Canada. The new deadline is June 27, 2021. For further 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 27, 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. Please follow the link https://easychair.org/conferences/?conf=socialaiforhealthcar for submitting your paper and please refer to please see https://social-ai-for-healthcare.github.io/ for more information. 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 hans.ekkehard.plesser at nmbu.no Tue Jun 15 02:58:04 2021 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 15 Jun 2021 06:58:04 +0000 Subject: Connectionists: =?utf-8?q?NEST_Conference_2021_=E2=80=94_Registra?= =?utf-8?q?tion_Deadline_21_June?= Message-ID: <1222DEC9-EB5F-42CC-8B8E-D4C3CF53B437@nmbu.no> Dear all, Just a little reminder that the registration deadline for the NEST Conference 2021 is on Monday next week, June 21. More information on the programme and how to register can be found on the conference website https://nest-simulator.org/conference This year's conference will again take place as a virtual conference on Monday/Tuesday 28/29 June 2021 followed by a virtual NEST User Hackathon until Friday 2 July. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We are looking forward to seeing you all! Hans Ekkehard Plesser & many more -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: From heinrich.stefan at ircn.jp Mon Jun 14 08:32:08 2021 From: heinrich.stefan at ircn.jp (Stefan Heinrich) Date: Mon, 14 Jun 2021 21:32:08 +0900 Subject: Connectionists: CFP Workshop on Spatio-temporal Aspects of Embodied Predictive Processing @ ICDL2021 Message-ID: <38ea23cc-3133-bb65-71c1-3f245d1e509a@ircn.jp> An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OpenPGP_0x3F7E078F1EF07893.asc Type: application/pgp-keys Size: 1769 bytes Desc: OpenPGP public key URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: OpenPGP_signature Type: application/pgp-signature Size: 495 bytes Desc: OpenPGP digital signature URL: From michele.ferrante at nih.gov Mon Jun 14 17:10:44 2021 From: michele.ferrante at nih.gov (Ferrante, Michele (NIH/NIMH) [E]) Date: Mon, 14 Jun 2021 21:10:44 +0000 Subject: Connectionists: Workshop: Advanced Statistical Methods and Dynamic Data Visualizations In-Reply-To: References: Message-ID: Dear Colleagues, The National Institute of Mental Health (NIMH) hosts a two-day workshop on Advanced Statistical Methods and Dynamic Data Visualizations for Mental Health Studies. NIMH invites basic, translational, and service and intervention researchers from different backgrounds [including but not limited to statisticians, data scientists, computational scientists, quantitative neuroscientists, psychiatrists, psychologists] to register for this timely conference. Day one: June 28, 2021, on Advances in Statistical Methods and Applications Day two: June 30, 2021, on Dynamic and Interactive Data Visualizations The workshop will have two goals: 1. Address the role of statistical methods in identifying meaningful effects in large neuro-behavioral samples, administrative data, or social media sources. While effects may be statistically significant in large samples, they may only account for a small proportion of the variance, and the opposite is also true. In addition, estimating causal effects to inform services interventions will still be challenged by confounding and other factors. One objective of this workshop is to identify best practices for evaluating and interpreting meaningful effects in mental health research. 1. Showcase advanced methods for dynamic and interactive data visualization. One objective of this workshop is to identify potential use cases and gaps for these new dynamic data visualization tools. There will also be opportunities for participants to gain hands-on experience with cutting-edge visualization tools via interactive tutorial sessions. ________________________________ The workshop is free to attend, but registration is required. Attendees may register for one or both days. Register today! For programmatic questions, please contact Michele Ferrante at michele.ferrante at nih.gov or Abera Wouhib at abera.wouhib at nih.gov. Regards, Michele --- Michele Ferrante [mi?k??le fr?aan?tee], Ph.D. (he|him|his) NIH Program Director: Computational Neuroscience & Psychiatry Please click here to schedule a call: 301-435-6782 | WebEx Computational FOAs: Behaviors | RDoC | XAI | CRCNS | Supplements | Theories | ConvergentNS [I am vaccinated signature.] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 18531 bytes Desc: image001.png URL: From mathieu.desroches at inria.fr Mon Jun 14 10:27:12 2021 From: mathieu.desroches at inria.fr (desroche) Date: Mon, 14 Jun 2021 16:27:12 +0200 Subject: Connectionists: Postdoc on Alzheimer's Disease modeling (Inria, UCL, BCAM) Message-ID: <20D1243C-732B-4A21-AE39-D2BF6B862177@inria.fr> Dear all, This is an invitation to join a multidisciplinary research on Alzheimer?s Disease (AD) for a 24-month postdoc. The project aims at combining mathematics and novel experiments to better understand the causes of the progressive symptoms of memory impairment in persons living with AD. Despite progress, AD research has hit a bottleneck and to date there are no effective treatments to prevent AD. It is now recognised that this is partially due to limitations in AD mice models that do not recapitulate human AD, to conflicting results and research focus on molecular mechanisms. We aim to overcome these limitations by exploring a gab in our understading of abnormal synaptic process (including neural-glia, inflammatory processes) and neural tissue dynamics that lead to AD. To this end, we will combine state-of-the-art experiments based on human brain tissue data, recent mice model that recapitulate human AD, mathematics and computations, which in tandem will address the multi-factorial nature of the disease for future successful drug development. The project is part of a long-standing collaboration between Mathieu Desroches (MathNeuro Project-Team, Inria Sophia Antipolis, France), Serafim Rodrigues (MCEN research group, Basque Center for Applied Mathematics, Bilbao, Spain) and Afia B Ali (School of Pharmacology, University College London, UK) on neurotransmission and its possible disruptions (see here ). The postdoc will strongly interact with these three researchers. Regarding profiles that we are seeking, familiarity of the candidate with mathematical modeling in Neuroscience. Experience with multiple-timescale systems is wishable but not mandatory. Ability and willingness to do programming, as well as analyse experimental data, will also be a strong point to select candidates. Please apply online via the following page: https://recrutement.inria.fr/public/classic/fr/offres/2021-03775 For informal enquiries, please contact me: mathieu.desroches at inria.fr --------------------------------------------------------------------- Dr. Mathieu Desroches Research Scientist (Charg? de Recherche) MathNeuro Project Team Leader Inria Sophia Antipolis - M?diterran?e, France http://www-sop.inria.fr/members/Mathieu.Desroches/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: inr_logo_rouge_petit.png Type: image/png Size: 7716 bytes Desc: not available URL: From hocine.cherifi at gmail.com Tue Jun 15 05:08:36 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 15 Jun 2021 11:08:36 +0200 Subject: Connectionists: Ph.D. Proposal: Graph Compression LIB Dijon France Message-ID: *Candidate Profile: * Master degree or Engineer in computer science, mathematics or physics with strong skills in graph algorithms/network science / Data Science/data mining and programming in Python/C++/Java. *Financing Institution: * ANR Contract Coregraphie (ANR-20-CE23-0002) Application Deadline: June 25, 2021 Contract starts: October 01, 2021 *Supervisors: * H. Cherifi (LIB, Dijon), H. S?ba (LIRIS, Lyon), O. Togni (LIB, Dijon) *Contacts: * hocine.cherifi at u-bourgogne.fr, hamida.seba at univ-lyon1.fr, olivier.togni at u- bourgogne.fr *Subject: * In this Big Data world, we face the central issue of processing massive graphs. The approach considered in the ANR project Coregraphie is to build a summary (or compressed version) of the graph and to query this summary instead of the original graph. One can distinguish between lossless and lossy compression techniques. Lossless compression (or compact coding) decreases the size of the graph representation without losing any information while controlling the cost induced by coding on the operations, like, for instance, in WebGraph [BV04]. Lossy compression allows a part of the information (nodes and edges) to be lost. If the compression is by deleting edges, one speaks of sparsification. This subclass of lossy compression allows more effective requests, such as estimating the distance between two nodes [KB+21]. Lossy compression is mainly accomplished using two approaches: Selecting a sample, i.e., a sub-graph using different technics (random walks, propagation, filtering, etc.) [HL13] and grouping nodes/edges (generalization) [CR15]. In most cases, lossy compression methods are specialized for one type of request [FL+12]. One major issue for lossy compression is determining to which extent the compression algorithms damage the initial graph and how this damage can be measured and controlled. This thesis aims to concentrate on lossy compression. We plan to investigate the impact of compression methods on the graph topological properties and/or requests performed. We propose approaching this issue starting with simple requests such as testing neighborhoods or proximity between nodes. We will then study more complex requests such as finding a given size clique, clustering [QK15] or partitioning the graph into independent sets [T19]. Among further aspects that can be explored are: ? The links with lossless compression and combined approaches; ? Links with structural properties, in particular with some orders/hierarchies ((k- shells, k-trusses, modular decomposition, twin-width, etc.); ? Links with community structure and centrality measures [GC+20]; ? Compromises between preserving properties and anonymizing [MRT20]. The main application domain is social networks. Indeed, the LIB lab has the scientific environment to handle massive online social data. Data from Medicine, Biology, Economics may also be considered. The final goal is to propose effective tailored compression methods and generic compression schemes to deal with many types of requests while controlling the bias induced by the compression. References [BV04] P. Boldi and S. Vigna, The webgraph framework i: Compression techniques. In Proceedings of the 13th International Conference on World Wide Web, WWW ?04, pages 595?602, New York, NY, USA, 2004. ACM. [CR15] J. Casa-Roma, F. Rousseau, Community-preserving generalization of social networks. In IEEE. 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). [S.l.], 2015. p. 1465?1472. [FL+12] W. Fan, J. Li, X. Wang, and Y. Wu, Query preserving graph compression. In Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data (SIGMOD '12), 2012. DOI:https://doi.org/10.1145/2213836.2213855 [GC+20] Z. Ghalmane,C. Cherifi, H. Cherifi, M. El Hassouni. Extracting backbones in weighted modular complex networks. Sci Rep 10, 15539 (2020). https://doi.org/10.1038/s41598-020-71876- [HL13] P. Hu and WC. Lau, A survey and taxonomy of graph sampling. 2013. CoRR abs/1308.5865, http://arxiv.org/abs/1308.5865,1308.5865 [KB+21] A. E. Kiouche, J. Baste, M. Haddad and H.Seba. A Neighborhood-preserving Graph Summarization, 2021, coRR abs/ 2101.11559, https://arxiv.org/abs/2101.11559. [MRT20] G. Minello, L. Rossi and A. Torsello, k-Anonymity on Graphs using the Szemer?di Regularity Lemma, IEEE Transactions on Network Science and Engineering, 2020, https://doi.org/10.1109/TNSE.2020.3020329. [QK15] F. Queyroi and S. Kirgizov. Suppression distance computation for hierarchical clusterings. Information Processing Letters, Volume 115, Issue 9, 2015. [T19] O. Togni. Coloring Large Real World Networks : the DSAT-ratio, In MARAMI 2019, 2019. [YAA21] M. I. Yousuf, I. Anwer and R.Anwar, Empirical Characterization of Graph Sampling Algorithms, 2021, coRR abs/2102.07980 , https://arxiv.org/abs/2102.07980 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 miguel-areias at dcc.fc.up.pt Tue Jun 15 06:32:40 2021 From: miguel-areias at dcc.fc.up.pt (Miguel Areias) Date: Tue, 15 Jun 2021 11:32:40 +0100 Subject: Connectionists: CFP - Workshop on Goal-directed Execution of Answer Set Programs (GDE 2021) Message-ID: <92e3865e-53d2-11e1-7a52-8f79581a0461@dcc.fc.up.pt> ========================================================================= ????????????????????????? CALL FOR PAPERS ??? GDE 2021: Workshop on Goal-directed Execution of Answer Set Programs ????????????????? https://utdallas.edu/~gupta/gde21 ========================================================================= ?? A workshop of 37th International Conference on Logic Programming ?????????????????????? September 20-27, 2021 ??????????????????? (the event will be virtual) ========================================================================= Workshop Aim: ************* Answer set programming is a successful extension of logic programming for solving combinatorial problems as well as knowledge representation and reasoning problems. Most current implementations of ASP work by grounding a program and using a SAT solver-like technology to find the answer sets. While this approach is extremely efficient, relying on grounding of the program leads to significant blow-up of the program size, and computing the whole model makes finding justification of an atom in the model hard. This limits the applicability of ASP to problems dealing with large knowledge bases. Goal-directed or query-driven execution strategies have been proposed that do not require grounding. The goal of this workshop is to foster discussion around challenges and opportunities that such approaches present. Tentative list of topics include: ********************************* * Non-grounding based implementations of ASP * Constructive Negation * Implementation Technology for Goal-directed ASP * Applications of Goal-directed ASP * Query-driven Constraint ASP * System Description * Tabling in goal-directed ASP Systems * Coinductive Logic Programming and ASP Submission Instructions: ************************ Technical papers, position papers, as well as extended abstracts are welcome.? Papers should be maximum 15 pages long and in LNCS Format. Email the paper in pdf format to the workshop organizers by the deadline date. Important Dates: **************** Paper Submission: August 5, 2021 Decision Notification: August 15, 2021 Workshop Date: TBA (During one of ICLP'21 Conference days) Invited Speakers: ***************** TBA Organizers: *********** *Gopal Gupta, The University of Texas at Dallas, USA; ?Gopal.Gupta at utdallas.edu *Joaquin Arias, Joaquin Arias, Universidad Rey Juan Carlos, Spain; ?Joaquin.Arias at urjc.es *Elmer Salazar, The University of Texas at Dallas, USA; ?Elmer.Salazar at utdallas.edu Program Committee: ****************** TBA ========================================================================= From Chloe.BOURGEOIS at univ-cotedazur.fr Wed Jun 16 04:50:14 2021 From: Chloe.BOURGEOIS at univ-cotedazur.fr (Chloe Bourgeois) Date: Wed, 16 Jun 2021 08:50:14 +0000 Subject: Connectionists: =?iso-8859-1?q?Job_position_available_at_Inria_So?= =?iso-8859-1?q?phia_/_Universit=E9_C=F4te_d=27Azur?= In-Reply-To: References: Message-ID: ***JOB POSITION AVAILABLE*** Universit? C?te d'Azur (NeuroMod Institute) is recruiting an Engineer in Software Development Innovation and Transfer, in collaboration with the Experimentation and Development Department of the French National Institute for Research in Digital Science and Technology (INRIA). * The job description is online at: https://univ-cotedazur.fr/travailler-a-universite-cote-d-azur/institut-inria-ingenieur-ou-ingenieure-developpement-logiciel-innovation-et-transfert * Application deadline: July 10, 2021 * Application (CV + cover letter) must be sent to: chloe.bourgeois at univ-cotedazur.fr and recrutement at univ-cotedazur.fr Feel free to share this information within your networks and to potentially interested persons! -------------- next part -------------- An HTML attachment was scrubbed... URL: From lars.schwabe at uni-hamburg.de Wed Jun 16 07:07:30 2021 From: lars.schwabe at uni-hamburg.de (Schwabe, Prof. Dr. Lars) Date: Wed, 16 Jun 2021 11:07:30 +0000 Subject: Connectionists: Post-doc in Cognitive Neuroscience at University of Hamburg, Germany Message-ID: <1a7906e859d84deea2a0aa06a70e48a0@uni-hamburg.de> The Cognitive Psychology lab at the University of Hamburg (Germany) directed by Dr. Lars Schwabe is seeking a post-doctoral fellow interested in Cognitive and/or Affective Neuroscience. Our lab focusses on the impact of emotion and stress on learning, memory and decision-making. We use a broad range of methods, ranging from fMRI, EEG, fNIRS, TMS to psychopharmacology or cognitive modelling, to elucidate the cognitive and neural mechanisms underlying the influence of stress and emotion on cognitive functions. For further information on our lab, please visit: https://www.psy.uni-hamburg.de/en/arbeitsbereiche/kognitionspsychologie.html The successful candidate will join an open and dynamic research environment that provides excellent access to all state-of-the-art methods in human cognitive neuroscience. There are great opportunities to initiate individual research projects based on the person's interests (sufficient project funds will be provided). The position will include 3 hours of teaching per week (during the summer and winter terms). The successful candidate is further expected to supervise BSc/MSc students and to acquire further funding for own research projects. This is a full-time employment for 3 years, with the possibility of a 3-year extension after positive evaluation. Starting date: October 1st, 2021 The successful applicant will have excellent knowledge in the fields of Psychology and Cognitive Neuroscience, excellent statistical knowledge, excellent programming skills (preferentially in MATLAB or Phython), and expertise in EEG and/or fMRI analysis. Experience in additional research techniques and/or cognitive modelling are a plus. The successful applicant should have strong scientific credentials that confirm the ability to conduct high?quality peer-reviewed research. Good command of English, both spoken and written, is a requirement. Knowledge of German is a plus but not required. We are committed to fostering an inclusive and diverse environment, and seek applications from all qualified individuals from all demographics and backgrounds. Please send your application ? including your CV, all relevant academic certificates, and two letters of reference ? directly to Dr. Lars Schwabe at Lars.Schwabe at uni-hamburg.de. Application deadline: July 11th, 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Jun 16 07:39:42 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 16 Jun 2021 14:39:42 +0300 Subject: Connectionists: Live e-Lecture by Prof. Konstantinos N Plataniotis: "Digital Pathology: On the intersection of Computer Vision and Data Science", 29th June 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures Message-ID: <020301d762a4$4ccb00d0$e6610270$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Prof. Konstantinos N Plataniotis (University of Toronto, Canada), a prominent AI researcher internationally, will deliver the e-lecture: 'Digital Pathology: On the intersection of Computer Vision and Data Science', on Tuesday 29th 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/event_cat/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/97112025406 & 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 -- 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 hocine.cherifi at gmail.com Wed Jun 16 10:15:18 2021 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 16 Jun 2021 16:15:18 +0200 Subject: Connectionists: SUBMIT YOUR WORK TO COMPLEX NETWORKS 2021 Message-ID: *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)* Templates are available on the submission webpage. If in doubt, please contact the Publication Chair (matteo.zignani at unimi.it) All contributions should be submitted via EasyChair . Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* Join us at COMPLEX NETWORKS 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 morgado.dias.uma at gmail.com Wed Jun 16 12:47:27 2021 From: morgado.dias.uma at gmail.com (Morgado Dias) Date: Wed, 16 Jun 2021 17:47:27 +0100 Subject: Connectionists: PhD Positions in a Research Project (Machine Learning) at Madeira Island Message-ID: <3F02F0FA-9A33-4951-9665-BC5AC6B0F941@gmail.com> Dear Colleagues, Can you please help spreading the information about these positions for a research project leading to PhD, which is in areas connected to your unit/list? This is a research project in the Machine Learning area that will take place in the beautiful Madeira Island, Portugal. We will select and analyse features (environmental, nutricional, and images) regarding banana trees and fruit to determine their productivity and maturation stage. We are looking for motivated candidates with Electrical/ Computer Science background willing to pursue a PhD. More details are available here: https://www.euraxess.pt/jobs/651453 Thank you, Morgado Dias Associate Professor in Electrical Engineering Electrical Engineering PhD Director BIESA Lab Coordinator morgado at uma.pt Tel.: 291-705307 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PastedGraphic-2.tiff Type: image/tiff Size: 14064 bytes Desc: not available URL: From lionel.cervera at uca.es Thu Jun 17 03:33:11 2021 From: lionel.cervera at uca.es (Lionel Cervera Gontard) Date: Thu, 17 Jun 2021 09:33:11 +0200 (CEST) Subject: Connectionists: 3 PhD positions offered within H2020 MSCA-ITN-ETN project PARENT Message-ID: <867889908.5396.1623915191839.JavaMail.tomcat@draco> Interested in AI applied to medicine? #ai #medicine We are now offering 3 PhD positions within H2020 MSCA-ITN-ETN project PARENT (https://parenth2020.com/ [ https://parenth2020.com/ ]). Detail of the positions can be found in Euraxess: (ESR5) Monitoring and Integrating Neonates Behavioral and Physiological Parameters https://euraxess.ec.europa.eu/ [ https://euraxess.ec.europa.eu/ ]jobs/651375 [ https://euraxess.ec.europa.eu/jobs/651375 ] (ESR6) Artificial Intelligence for early detection of motor/cognitive impairments in preterm children using hybrid imaging https://euraxess.ec.europa.eu/ [ https://euraxess.ec.europa.eu/ ]jobs/651373 [ https://euraxess.ec.europa.eu/jobs/651373 ] (ESR7) Machine Learning to identify significant biomarkers for early diagnose of NDD in premature - infants https://euraxess.ec.europa.eu/ [ https://euraxess.ec.europa.eu/ ]jobs/651376 [ https://euraxess.ec.europa.eu/jobs/651376 ] -- University of C?diz (Spain) -------------- next part -------------- An HTML attachment was scrubbed... URL: From perusquia at ieee.org Thu Jun 17 05:01:37 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Thu, 17 Jun 2021 10:01:37 +0100 Subject: Connectionists: ACII21 final 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. Sincerely, Monica Perusqu?a-Hern?ndez, PhD PDEng http://monicaperusquia.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtista at gmail.com Thu Jun 17 04:58:20 2021 From: mtista at gmail.com (Massimo Tistarelli) Date: Thu, 17 Jun 2021 10:58:20 +0200 Subject: Connectionists: Open Phd position in Artificial Intelligence, Machine Learning and Robotics Message-ID: <2abe04f1-a2df-9aae-880e-a92965ffe2df@gmail.com> *Open Phd position in Artificial Intelligence, Machine Learning and Robotics* The Computer Vision Laboratory at the University of Sassari is announcing two Phd scholarships available, within the framework of the National Phd AI program, for young talented students who would like to be involved in cutting edge research in the area of AI, Machine Learning, Robotics and Computer Vision. The CV Lab is a vibrant internationally recognised research center with more than 30 years experience in pursuing state of the art research and international projects related to intelligent systems. The group is composed by an international team of young and experienced staff members which has ongoing collaborations with several research centres in Europe, US and Asia. Those interested in joining our team can send an expression of interest, *no later than July 15th 2021*, to Prof. Massimo Tistarelli: tista at uniss.it More information on the Italian National Phd AI program can be found here: https://www.phd-ai.it/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From adrien.bibal at unamur.be Thu Jun 17 08:16:40 2021 From: adrien.bibal at unamur.be (Adrien Bibal) Date: Thu, 17 Jun 2021 14:16:40 +0200 Subject: Connectionists: =?utf-8?q?Job=3A_Postdoc_at_UCLouvain_=281-3_year?= =?utf-8?q?s=29=3A_automatic_assessment_of_learner=E2=80=99s_productions_i?= =?utf-8?q?n_FFL?= Message-ID: <0a1111ef-8131-3721-2ea1-17ec0f61a9c0@unamur.be> The UCLouvain is looking for a Postdoctoral researcher in Machine Learning or Natural Language Processing * Fixed-term full-time (100%) contract for one year, renewable twice * At the Centerfor Natural Language Processing (Centre de traitementautomatiquedu langage; Cental), at the Institute for Language and Communication (ILC) at the UCLouvain (Louvain-la-Neuve) * Starting date: September 2021 This postdoctoral research position is integrated within an ambitious research project conducted at the Centerfor Natural Language Processing (Centre de traitement automatique du langage; Cental; _https://uclouvain.be/fr/instituts-recherche/ilc/cental _), in collaboration with FEI (France ?ducation International; _https://www.france-education-international.fr _). Funding is available for 3 years, but employment takes the form of one-year fixed-term contracts. Renewal of the contract is contingent upon the realization of research objectives defined within the project. The project will bring together multiple researchers to develop an automated solution to assist and support the correction of writing skill tests for the French language for certificate evaluation purposes. Specifically, the project aims at developing a system that can (1) automatically evaluate the CEFR level of writing skills of test takers by training an artificial intelligence system on data provided by FEI, and (2) provide various diagnostic indicators based on pedagogical resources in French as a Foreign Language. The first objective is in line with work on English aimed at the automatic evaluation of learner productions in relation to the Common European Framework of Reference (CEFR) (Tack et al., 2017; Arnold et al., 2018; Yannakoudakis et al., 2018; Baillier et al., 2019). The second objective is in line with work conducted at the Cental on the diagnosis of complexity of written productions (CEFRLex in Fran?ois et al., 2014; Pintard and Fran?ois, 2020 or AMesure in Fran?ois et al., 2020). The tasks of the postdoctoral researcher will mainly consist in (1) preparing the FEI corpus for statistical treatment, (2) implementing a Python package for the extraction of linguistic (e.g. measuring the complexity of lexical or syntactical structures, cf. Tack et al., 2017) and pedagogical features (e.g. developmental stages, cf. Bartning and Schlyter, 2004) correlated with the CEFR level of productions of learners of French as a Foreign Language, (3) developing an AI model capable of automatically predicting this CEFR level, and (4) testing the system with human assessors. The postdoctoral researcher will also be responsible for the dissemination of results via scientific publications and yearly reports. The researcher will work in close collaboration with the other team members to ensure the successful implementation of these tasks. *Work environment* The Cental is part of the Institute for Language & Communication (_https://uclouvain.be/fr/instituts-recherche/ilc _) which is part of the University of Louvain. The university is situated in Louvain-la-Neuve (_https://uclouvain.be/fr/sites/louvain-la-neuve _), a pleasant and dynamic pedestrian city. The research project is headed by Prof. Thomas Fran?ois (_https://cental.uclouvain.be/team/tfrancois/ _), an expert in readability and automatic text simplification. Research missions to Paris (S?vres) will be organized to ensure and maintain close collaboration with FEI. FEI is internationally known for its expertise in the domain of proficiency level evaluation for French as a Foreign Language and is responsible for the organization of the main French language tests, namely TCF, DELF and DALF. *Qualifications* The ideal candidate will have: * A PhD in Information Technology, Computational Linguistics, Natural Language Processing or equivalent * Excellent computer skills: o Programminglanguages?: Python (mastery) o Experience with sckit-learn, pandas, TensorFlow, PyTorch or Keras is a plus o Web technologies: HTML, JavaScript, CSS, Flask, MySQL and PostGreSQL o Operating systems: Linux (server management) o Experience in the creation and dissemination of Python libraries via Github (or equivalent) is a plus * Knowledge of the main algorithms used in supervised machine learning is required. Knowledge of Deep Learning is a plus * Excellent knowledge of English (at least level C1) and good knowledge of French (at least level B2) * Excellent research profile (publications, conferences, etc.) * Firm grasp of the main tools and algorithms in NLP * Research experience in one of the following domains is a plus: computer-assisted language learning, readability, automated essay scoring, language assessment, etc. * Autonomy, team spirit, capacity to listen and analyzeneeds, reactivity *Employment conditions* This fixed-term postdoctoral position is subject to following conditions: * Fixed-term one-year contract, renewable twice, for a possible total of three years * Gross salary is commensurate with seniority and will vary between 4250? and 4850? per month This position normally requires a relocation to Belgium. Applicants from outside the EU are responsible for obtaining a visa and required permits, with the support of the corresponding department at the UCLouvain. *Application* Application deadline: 30 June 2021 If you are interested in this position, please send your application to Thomas Fran?ois (_thomas.francois at uclouvain.be _). The application must include: 1. A detailed CV in French or English including qualifications and required skills, publications and other academic and scientific experience 2. A letter of motivation *in French*describing your interest for the position, how your profile corresponds to the description of the position and to the objectives of the project, etc. 3. A letter of reference in French or English Short-listed candidates will be invited to participate in a video conference interview. The exact modalities will be communicated via mail. -------------- next part -------------- An HTML attachment was scrubbed... URL: From yann.sweeney at gmail.com Thu Jun 17 09:35:19 2021 From: yann.sweeney at gmail.com (Yann Sweeney) Date: Thu, 17 Jun 2021 14:35:19 +0100 Subject: Connectionists: Job: Editor with Nature Machine Intelligence (9 month locum position - London, NY, Berlin) Message-ID: Dear all, Nature Machine Intelligence are looking to recruit a locum editor. We are a new Nature Research journal that launched in 2019. It publishes both fundamental and applied research in a wide range of areas in artificial intelligence and robotics. The journal incorporates elements of computer science, electrical engineering, mathematics, physics, neuroscience, cognitive science and psychology. The journal also publishes news, commentary and perspectives on the impact of machine intelligence on science and society. We are inviting applications from those with a background in any of the above and related fields. Applicants should have completed a PhD, have a strong research record, feel driven to continually learn about new fields and trends and have a keen interest in exploring the wide implications of research on other scientific areas, industry and society. We would be interested in hearing from candidates who can demonstrate strong science writing skills. Editorial experience is not required, although applicants with significant editorial experience are encouraged to apply and will potentially be considered for a Senior Editor position. The successful candidate will report to the Chief Editor. They will participate in all aspects of the editorial process, including manuscript selection, commissioning and editing News and Views, Comments, Perspectives and Reviews, as well as writing for the journal. The successful candidate must be dynamic and outgoing, and have excellent communication and interpersonal skills. A key aspect of the job is liaising with the research community through laboratory visits and international conferences, and therefore a willingness to travel is essential. The position is offered on a full-time basis, for an initial fixed term of 9 months, and will ideally be located in our London, Berlin or New York office. The starting date is envisaged as soon as possible within the next few weeks. Full advert here, apply by 22 June: https://career5.successfactors.eu/sfcareer/jobreqcareer?jobId=33925&company=C0001215517P Feel free to email with informal inquiries. All the best, Yann Senior Editor Nature Machine Intelligence yann.sweeney at nature.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From calendarsites at insticc.org Thu Jun 17 13:18:48 2021 From: calendarsites at insticc.org (calendarsites at insticc.org) Date: Thu, 17 Jun 2021 18:18:48 +0100 Subject: Connectionists: [CFP]13th Int. Conf. on Evolutionary Computation Theory and Applications :: New Submission Deadline - June 25th Message-ID: <004101d7639c$da6d4080$8f47c180$@insticc.org> CALL FOR PAPERS 13th International Conference on Evolutionary Computation Theory and Applications New Regular/Position Paper Submission Deadline: June 25 2021 http://www.ecta.ijcci.org/ October 25 - 27, 2021 Online Streaming In Cooperation with Spanish Association of Artificial Intelligence Association for the Advancement of Artificial Intelligence Associazione Italiana per l'Intelligenza Artificiale Considered a subfield of computational intelligence focused on combinatorial optimisation problems, evolutionary computation is associated with systems that use computational models of evolutionary processes as the key elements in design and implementation, i.e. computational techniques which are based to some degree on the evolution of biological life in the natural world. A number of evolutionary computational models have been proposed, including evolutionary algorithms, genetic algorithms, the evolution strategy, evolutionary programming and swarm intelligence. These techniques form the basis of several disciplines such as artificial life and evolutionary robotics. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of evolvable systems, both theoretically and in a broad range of application fields. ECTA welcomes both theoretical research and practical applications. The conference also aims to foster hybrid approaches within evolutionary computation and also involving fuzzy computation and neural computation. Conference Chair(s) Juan Julian Merelo, University of Granada, Spain Kevin Warwick (honorary), University of Reading and Coventry University, United Kingdom Program Chair(s) Thomas B?ck, Leiden University, Netherlands With the presence of internationally distinguished keynote speakers: Susana Vieira, University of Lisbon, Portugal Joseph Rynkiewicz, Universit? de Paris 1 Panth?on-Sorbonne, France Carlos Coello, CINVESTAV-IPN, Mexico Barbara Hammer, Bielefeld University, Germany 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. 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 SCI 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 ECTA Secretariat Web: http://www.ecta.ijcci.org/ e-mail: ecta.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From marwen.belkaid at iit.it Thu Jun 17 10:35:15 2021 From: marwen.belkaid at iit.it (marwen Belkaid) Date: Thu, 17 Jun 2021 16:35:15 +0200 Subject: Connectionists: =?utf-8?q?Call_for_abstracts_-_IROS_2021_workshop?= =?utf-8?q?_=22Human-like_Behavior_and_Cognition_in_Robots=E2=80=9D?= Message-ID: <0b5ad831-bb3e-5716-f80a-c34716c11665@iit.it> *Call for Contributions* Human-like Behavior and Cognition in Robots Workshop at IROS 2021 ? October 1st, 2021 Website: https://sites.google.com/view/hbcr-workshop-2021 ***Workshop objectives*** Building robots capable of behaving in a human-like manner is a long-term goal in robotics. It is becoming even more crucial with the growing number of applications in which robots are brought closer to humans, not only trained experts, but also inexperienced users, children, the elderly, or clinical populations. Current research from different disciplines contributes to this general endeavor in various ways: * by creating robots that mimic specific aspects of human behavior, * by designing brain-inspired cognitive architectures for robots, * by implementing embodied neural models driving robots? behavior, * by reproducing human motion dynamics on robots, * by investigating how humans perceive and interact with robots, dependent on the degree of the robots? human-likeness. This workshop aims to bring together scholars from the areas of research that are involved in such endeavor (e.g., robotics, artificial intelligence, human-robot interaction, computational modeling of human cognition and behavior, psychology, cognitive neuroscience). It is conceived as a forum to encourage discussions about recent advances and future challenges related to the following questions: * How to design robots with human-like behavior and cognition? * What are the best methods for examining human-like behavior and cognition? * What are the best approaches for implementing human-like behavior and cognition in robots? * How to manipulate, control and measure robots? degree of human-likeness? * Is autonomy a prerequisite for human-likeness? * How to best measure human reception of human-likeness of robots? * What is the link between perceived human-likeness and social attunement in human-robot interaction? * How can such human-like robots inform and enable human-centered research? * How can modeling human-like behavior in robots inform us about human cognition? * In what contexts and applications do we need human-like behavior or cognition? And in what contexts it is not necessary? *Workshop format * Like the main IROS 2021 conference, the HBCR workshop will be held fully online. The event will include the following: 1. Invited and contributed talks: pre-recorded videos with Q&A Slack 2. Panel discussion: 2-hour live session on the IROS 2021 platform 3. Open discussion: 2-hour informal social session on Zoom *Organizers* * Marwen Belkaid (Istituto Italiano di Tecnologia, Italy) * Giorgio Metta (Istituto Italiano di Tecnologia, Italy) * Tony Prescott (Univ. of Sheffield, United Kingdom) * Agnieszka Wykowska (Istituto Italiano di Tecnologia, Italy) *Invited Speakers*** * Aude Billard (?cole Polytech. F?d?rale de Lausanne, Switzerland) * Yiannis Demiris (Imperial College London, United Kingdom) * Serena Ivaldi (Inria, France) * Mehdi Khamassi (Sorbonne Universit?-CNRS, France) * Ana Paiva (Univ. de Lisboa, Portugal) * Tony Prescott (Univ. of Sheffield, United Kingdom) * Agnieszka Wykowska / Marwen Belkaid (Istituto Italiano di Tecnologia, Italy) *Call for contributions* We invite participants to submit extended abstracts about their research related to the topics of the workshop. We welcome submissions about novel results, work in progress, literature review, perspectives/opinions. The goal of the workshop is to provide a forum for interdisciplinary discussion and a unique opportunity for a fruitful and in-depth exchange of ideas between early-career and advanced-career researchers. Submitted abstracts must follow the IROS template (1 page max., approx. 300-600 words, including references). Submissions should be sent to: marwen.belkaid at iit.it Among the accepted submissions, 3 best contributions will be awarded with the Springer-sponsored award. The award consists of: 1. 1-year free access to the International Journal of Social Robotics (IJSR), Springer, 2. book prize in the form of a 150 ? voucher that the recipient will be able to use to receive the book(s) of their choice in the broad selection of books from the publisher. In addition, all authors of accepted contributions will be invited to submit an extended version of their abstracts to the Special issue that we are organizing in the International Journal of Social Robotics. Acceptance of extended abstracts to the workshop is a prerequisite, but does not guarantee acceptance for publication in the Special issue. *Important dates* * Deadline for abstract submission: 25 June 2021 * Decision notification for abstracts: 15 August 2021 * Workshop: 1 October 2021 * Deadline for Special issue submission: 15 November 2021 * Decision notification for Special issue (tentative): 5 January 2022 -- Dr Marwen BELKAID Istituto Italiano di Tecnologia Center for Human Technologies Via Enrico Melen, 83 16152 Genoa, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From calendarsites at insticc.org Thu Jun 17 13:18:48 2021 From: calendarsites at insticc.org (calendarsites at insticc.org) Date: Thu, 17 Jun 2021 18:18:48 +0100 Subject: Connectionists: [CFP]13th Int. Conf. on Evolutionary Computation Theory and Applications :: New Submission Deadline - June 25th Message-ID: <006901d7639c$e067dc70$a1379550$@insticc.org> CALL FOR PAPERS 13th International Conference on Evolutionary Computation Theory and Applications New Regular/Position Paper Submission Deadline: June 25 2021 http://www.ecta.ijcci.org/ October 25 - 27, 2021 Online Streaming In Cooperation with Spanish Association of Artificial Intelligence Association for the Advancement of Artificial Intelligence Associazione Italiana per l'Intelligenza Artificiale Considered a subfield of computational intelligence focused on combinatorial optimisation problems, evolutionary computation is associated with systems that use computational models of evolutionary processes as the key elements in design and implementation, i.e. computational techniques which are based to some degree on the evolution of biological life in the natural world. A number of evolutionary computational models have been proposed, including evolutionary algorithms, genetic algorithms, the evolution strategy, evolutionary programming and swarm intelligence. These techniques form the basis of several disciplines such as artificial life and evolutionary robotics. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of evolvable systems, both theoretically and in a broad range of application fields. ECTA welcomes both theoretical research and practical applications. The conference also aims to foster hybrid approaches within evolutionary computation and also involving fuzzy computation and neural computation. Conference Chair(s) Juan Julian Merelo, University of Granada, Spain Kevin Warwick (honorary), University of Reading and Coventry University, United Kingdom Program Chair(s) Thomas B?ck, Leiden University, Netherlands With the presence of internationally distinguished keynote speakers: Susana Vieira, University of Lisbon, Portugal Joseph Rynkiewicz, Universit? de Paris 1 Panth?on-Sorbonne, France Carlos Coello, CINVESTAV-IPN, Mexico Barbara Hammer, Bielefeld University, Germany 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. 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 SCI 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 ECTA Secretariat Web: http://www.ecta.ijcci.org/ e-mail: ecta.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From pubconference at gmail.com Thu Jun 17 14:34:11 2021 From: pubconference at gmail.com (Pub Conference) Date: Thu, 17 Jun 2021 14:34:11 -0400 Subject: Connectionists: [Journal] CFP - KBS Special Issue on Deep Learning Message-ID: Robust, Explainable, and Privacy-Preserving Deep Learning https://www.journals.elsevier.com/knowledge-based-systems/call-for-papers/robust-explainable-and-privacy-preserving-deep-learning *Aim and Scope* The exponentially growing availability of data such as images, videos and speech from myriad sources, including social media and the Internet of Things, is driving the demand for high-performance data analysis algorithms. Deep learning is currently an extremely active research area in machine learning and pattern recognition. It provides computational models of multiple nonlinear processing neural network layers to learn and represent data with increasing levels of abstraction. Deep neural networks are able to implicitly capture intricate structures of large-scale data and deploy in cloud computing and high-performance computing platforms. The deep learning approach has demonstrated remarkable performances across a range of applications, including computer vision, image classification, face/speech recognition, natural language processing, and medical communications. However, deep neural networks yield ?black-box? input-output mappings that can be challenging to explain to users. Especially in the healthcare, cybersecurity, and legal fields, black-box machine learning techniques are unacceptable, since decisions may have a profound impact on peoples? lives due to the lack of interpretability. In addition, many other open problems and challenges still exist, such as computational and time costs, repeatability of the results, convergence, and the ability to learn from a very small amount of data and to evolve dynamically. Further, despite their enormous societal benefits, deep learning can pose real threats to personal privacy. For example, deep neural networks and other machine learning models are built based on patients' personal and highly sensitive data such as clinical records or tracked health data in the domain of healthcare. Moreover, they can be vulnerable to attackers trying to infer the sensitive data that was used to build the model. This raises important research questions about how to develop deep learning models that protect private data against inference attacks while still being accurate and useful predictive models. This Special Issue will present robust, explainable, and efficient next-generation deep learning algorithms with data privacy and theoretical guarantees for solving challenging artificial intelligence problems. This Special Issue aims to: 1) improve the understanding and explainability of deep neural networks; 2) improve the accuracy of deep learning leveraging new stochastic optimization and neural architecture search; 3) enhance the mathematical foundation of deep neural networks; 4) design new data privacy mechanisms to optimally tradeoff between utility and privacy; and 5) increase the computational efficiency and stability of the deep learning training process with new algorithms that will scale. Potential topics include but are not limited to the following: ? Novel theoretical insights on the deep neural networks ? Exploration of post-hoc interpretation methods which can shed light on how deep learning models produce a specific prediction and generate a representation ? Investigation of interpretable models which aim to construct self-explanatory models and incorporate interpretability directly into the structure of a deep learning model ? Quantifying or visualizing the interpretability of deep neural networks ? Stability improvement of deep neural network optimization ? Optimization methods for deep learning ? Privacy preserving machine learning (e.g., federated machine learning, learning over encrypted data) ? Novel deep learning approaches in the applications of image/signal processing, business intelligence, games, healthcare, bioinformatics, and security *Important Dates* ? Submission Deadline: August 31, 2021 ? First Review Decision: September 30, 2021 ? Revisions Due: October 31, 2021 ? Final Decision: November 30, 2021 ? Final Manuscript: December 31, 2021 *Dissemination, Composition and Review Procedures* ? A Call for Papers (CFP) will be circulated to invite submissions. ? World leading researchers will be invited as authors. ? To further attracting contributors from around the world, the CFP will be advertised across numerous society newsletters, different websites, mailing lists, conferences, associations, and social media groups, etc. This special issue will run as per the timeline given from submission to publication, while maintaining the rigorous peer review and high standards of the journal. All manuscripts submitted must be original, not under consideration elsewhere, and not previously published. A guide for authors and other relevant information for submission of manuscripts are available on the Guide for Authors? page. Authors can expect their manuscripts to be reviewed fairly, and in a skilled, conscientious manner. To enhance objectivity, and to guarantee high scientific quality and relevance to the subject, three peer reviewers will be selected to evaluate a manuscript. The peer review process shall be designed to avoid bias and conflict of interest on the part of reviewers and shall be composed of experts in the relevant field of research. A key criterion in publication decisions will be the manuscript?s fit for the special issue and the readership of KBS. Papers will be published online as soon as accepted in continuous flow. *Submission Instructions* The submission system will be open around one week before the first paper comes in. When submitting your manuscript please select the article type ?*VSI: Deep Learning*?. Please submit your manuscript before the submission deadline. All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles. Please see an example here: https://www.sciencedirect.com/journal/science-of-the-total-environment/special-issue/10SWS2W7VVV Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and the link to submit your manuscript is available on the Journal?s homepage. -------------- next part -------------- An HTML attachment was scrubbed... URL: From scik at zhaw.ch Fri Jun 18 07:01:49 2021 From: scik at zhaw.ch (Schilling Frank-Peter (scik)) Date: Fri, 18 Jun 2021 11:01:49 +0000 Subject: Connectionists: [CfP] JImaging Special Issue: Advances in Deep Neural Networks for Visual Pattern Recognition Message-ID: Dear Colleagues We are happy to announce a special isssue in JImaging: Special Issue: Advances in Deep Neural Networks for Visual Pattern Recognition Guest Editors: Prof. Dr. Thilo Stadelmann and Dr. Frank-Peter Schilling Submission Deadline: 20 February 2022 Website: https://www.mdpi.com/journal/jimaging/special_issues/deep_neural_network In this Special Issue of the Journal of Imaging, we request contributions that cover all three aspects: methodical, theoretical, and practical work addressing current issues in visual pattern recognition with novel insights and scientifically founded evaluations. Keywords: - supervised, semisupervised, and unsupervised deep learning - deep reinforcement learning and active vision - principles and best practices for neural network architecture design - generative models for pattern recognition - interpretability and explainability of neural networks - robustness and generalization of neural networks (e.g., confidence, sample efficiency, out-of-distribution performance) - metalearning, Auto-ML - image classification and segmentation - object detection - document analysis, e.g., handwriting recognition - biometrics - industrial applications such as predictive maintenance, automatic quality control, etc. - medical image processing, digital histopathology We therefore cordially invite you to submit your next research paper or review article to this Special Issue. Papers can be submitted at any time until the deadline as they will be published *on an ongoing basis*. /Journal of Imaging/ is an international, peer-reviewed Open Access journal on all multi/interdisciplinary aspects of imaging research. It has been indexed in the Emerging Sources Citation Index (ESCI - Web of Science), Inspec (IET), DBLP Computer Science Bibliography and Scopus (CiteScore 4.8). There are numerous benefits to publishing in /J. Imaging/: (1) open access and high visibility?unlimited access, broad database coverage, and various promotional activities and academic event presentations; (2) rapid turn-around? rapid turnaround: 19.3 days from submission to first decision. Best regards Frank-Peter Schilling, Thilo Stadelmann (ZHAW Centre for Artificial Intelligence) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ahmetoglu.alper at gmail.com Sat Jun 19 08:47:23 2021 From: ahmetoglu.alper at gmail.com (Alper Ahmetoglu) Date: Sat, 19 Jun 2021 15:47:23 +0300 Subject: Connectionists: CFP: RSS 2021 Workshop on Declarative and Neurosymbolic Representations in Robot Learning and Control Message-ID: <2C837447-3425-48C6-8786-A32B94E9CD74@gmail.com> Call for Papers: RSS 2021 Workshop on Declarative and Neurosymbolic Representations in Robot Learning and Control -------------------------------------------------- A Full-day Virtual Event with RSS 2021 https://dnr-rob.github.io/ Important dates (anywhere on earth): Paper Submission Deadline: June 27th (updated), 2021 Acceptance Notification: June 30th, 2021 Workshop date: July 15th (final), 2021 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 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, ahmetoglu.alper at gmail.com Shiqi Zhang (contact person), SUNY Binghamton, zhangs at binghamton.edu Roderic Grupen, UMass Amherst Yuqian Jiang, UT Austin Matteo Leonetti, U of Leeds Tiffany Liu, UMass Amherst Erhan Oztop, Ozyegin U Justus Piater, U of Innsbruck Benjamin Rosman, U of Witwatersrand Tadahiro Taniguchi, Ritsumeikan U Emre Ugur, Bogazici U -------------- next part -------------- An HTML attachment was scrubbed... URL: From editor.auto.reply1 at gmail.com Fri Jun 18 11:39:24 2021 From: editor.auto.reply1 at gmail.com (Editor-in- Chief) Date: Fri, 18 Jun 2021 21:09:24 +0530 Subject: Connectionists: [CFP] IECARTE 2021 Message-ID: *2021 Conference**CALL FOR PAPERS**(Accepted & Presented Papers will be Published by Peer Reviewed Journals and Submitted for SCI and SCOPUS)* 1st International E?Conference on Applied Research Trends in Engineering* - IECARTE 2021**14-15 December 2021**Website**:- * *http://www.ijces.com/1st-iecarte/* Greetings.,hope you are safe and doing well. The objective of this International conference is to provide opportunities for the Researchers, Academicians, Industry persons and students to interact and exchange ideas, experience and expertise in the current trend and strategies for applied research problems in engineering. Besides this, participants will also be enlightened about vast avenues, current and emerging technological developments in the field of engineering in this era and its applications, will be thoroughly explored and discussed. Authors can submit the papers in following related areas - Computer Engineering - Electrical Engineering - Electronics Engineering - Civil Engineering - Structural Engineering - Mathematical Engineering - Mechanical Engineering - Ant interdisciplinary domain in view of above *Publication* : All the papers accepted and presented in the conference is going to be published of peer reviewed journals and submitted for possible consideration in SCOPUS and SCI database. Paper Submission link *Important Dates * - *Submission Deadline: 1st August 2021* - *Acceptance Notification: 2nd Oct 2021 (On or before)* - *Camera-Ready version Submission Deadline: 5th November 2021* - *Registration Deadline: 30th November 2021* - *Conference Dates:14-15 December 2021* Note: IECARTE is organised in virtual mode because of COVID prolongs. Send your inquiries through Email to *ijces.editor at gmail.com* *With Best Regards,* *Organising Team IECARTE 2021.* -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Sat Jun 19 08:45:37 2021 From: cgf at isep.ipp.pt (Carlos) Date: Sat, 19 Jun 2021 13:45:37 +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: <7613ce3c-1cbc-0c46-69d5-c456aeb8a961@isep.ipp.pt> SoGood 2021 ? 6th Workshop on Data Science for Social Good Affiliated with ECML-PKDD 2021 (https://2021.ecmlpkdd.org/), 13-17 September 2021 Workshop paper/project submission deadline: July 5th, 2021 https://sites.google.com/view/ecmlpkddsogood2021/home 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 shyam at amrita.edu Sat Jun 19 15:55:04 2021 From: shyam at amrita.edu (Shyam Diwakar) Date: Sun, 20 Jun 2021 01:25:04 +0530 Subject: Connectionists: BrainCosmos Summer School on Neural Circuit Complexity from Aug 30-Sep 3 Message-ID: Dear Fellow Neuroscientists and Students, We would like to welcome you to a BrainCosmos Summer School titled "Neural circuit complexity: Neuroscience, Models and Robotics - Where do they lead?" organized at Lake Como, Italy from August 30-September 3, 2021. For more info: https://brco.lakecomoschool.org/ The BrainCosmos summer school focuses on the study of the brain, neuroscience of circuits and behavior in micro and macro scales, models, experiments, alongside topics of robotics and artificial intelligence and a perspective on brain diseases. The school primarily targets PhD students across all research disciplines, but applications from professionals, masters students and post-doctoral researchers are welcome as well. The School will also cater to early career researchers in Neuroscience and will aim to promote critical thinking within the field and beyond. The scope covers a very wide range of topics that we believe to be of interest to many fields related to neuroscience, modeling, robotics and artificial intelligence. PARTICIPATION: The school will run in parallel with two simultaneous batches, one in presence (20 participants) and another remotely (20 participants). The lectures will be streamed. APPLY: https://brco.lakecomoschool.org/application/ FEES: There are some nominal fees for participation. In presence attendance: ? 120, 22% VAT included (including lunches, coffee breaks, and all lectures and school materials). Online attendance: ?100, 22% VAT included (including the possibility to participate remotely to all the lectures given during the school and to the related initiatives, and to have access to the recordings of the lessons from the school portal for a period of three months after the end of the school. KEY DATES Application deadline: July 20 Acceptance notification: July 23 Registration (only accepted students): August 3 Confirmed FACULTY list: Anna Letizia Allegra Mascaro - LENS, Florence, Italy Alberto Antonietti - EPFL, Swiss Silvia Casarotto ? University of Milan, Italy Claudia Casellato - University of Pavia, Italy Marco Dal Maschio ? University of Padoa, Italy Egidio D'Angelo - University of Pavia, Italy Damien Depannemaecker - CNRS, Paris, France Shyam Diwakar - Amrita Mind Brain Center, Amrita University, India Kenji Doya ? Okinawa Institute of Science and Technology Graduate University, Japan Claudia Gandini Wheeler-Kingshott - University College London, UK & University of Pavia, Italy Alice Geminiani - University of Pavia, Italy Michele Giugliano ? SISSA, Trieste, Italy Alberto Mazzoni - Scuola Superiore Sant?Anna Pisa, Italy Michele Migliore - CNR Palermo, Italy Fulvia Palesi ? BCC Pavia, Italy Alessandra Laura Giulia Pedrocchi - Politecnico Milano, Italy Michele Piana - University of Genoa, Italy Isabella Pozzi - CWI, Amsterdam Holland Simone Sarasso ? University of Milan, Italy The School DIRECTORS: Giovanni Naldi - University of Milan, Department of Environmental Science and Policy, Italy. giovanni.naldi at unimi.it Thierry Nieus - University of Milan, Italy. thierry.nieus at unimi.it Simone Sarasso - University of Milan, Department of Biomedical and Clinical Sciences ?Luigi Sacco?, Italy. simone.sarasso at unimi.it Shyam Diwakar - Amrita Mind Brain Center, Amrita University, India. shyam at amrita.edu Please feel free to circulate! With best wishes, -- Prof. Shyam Diwakar, Ph.D. Director - Amrita Mind Brain Center Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803116 Fax:+91-476-2899722 http://amrita.edu/mindbrain [https://docs.google.com/uc?export=download&id=1_nOxaCXob6wVcuQyYI5KVk1PhMgihY8c&revid=0B234NYNYmh7xckREQjc2T3pPdUh5UGdXaytOUGlRcXFzcVFFPQ] [https://intranet.cb.amrita.edu/sig/RankingLogo.png] Disclaimer : The information transmitted in this email, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. Any views expressed in any message are those of the individual sender and may not necessarily reflect the views of Amrita Vishwa Vidyapeetham. If you received this in error, please contact the sender and destroy any copies of this information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From anacleto.correia at gmail.com Fri Jun 18 13:38:09 2021 From: anacleto.correia at gmail.com (Anacleto Correia) Date: Fri, 18 Jun 2021 18:38:09 +0100 Subject: Connectionists: [CFC] Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity In-Reply-To: References: Message-ID: *Call for Chapters* *Apologies for cross-posting, and please help to disseminate.* *Dear Researchers,* You are invited to submit a chapter proposal for a book about *Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity*. There are *no submission or acceptance fees* for manuscripts submitted to this book publication. All manuscripts are accepted based on a *double-blind peer review editorial process*. Chapter proposals (1.000 to 2.000 words) may be submitted at this https://www.igi-global.com/publish/call-for-papers/call-details/5297, on or before *June 25, 2021*. *Introduction* The growth of innovative cyber threats, many based on metamorphosing techniques, has led to security breaches and the exposure of critical information in sites that appeared to be impenetrable. The consequences of these hacking actions were, inevitably, privacy violation, data corruption, or information leaking. Machine learning, in particular deep learning, and data mining techniques have significant applications in the domains of privacy protection (e.g., authentication, privacy-preserving, data privacy compliance) and in cybersecurity (e.g., intrusion detection, malware detection, phishing/spam detection, website defacement detection). This book provides machine and deep learning methods for analysis and characterization of events regarding privacy and anomaly detection, as well as for establishing predictive models for cyber-attacks or privacy violations. It also provides case studies of the use of these techniques. Expected future developments on privacy and cybersecurity applications are also discussed including research topics, such as the potential consequences of quantum computing. *Objective* This comprehensive and timely book provides an overview of the field of Machine and Deep Learning in the areas of cybersecurity and privacy, followed by an in-depth view of emerging research exploring the theoretical aspects of machine and deep learning, as well as real-world implementations. The objective of the book is, therefore, to disseminate the latest advances regarding privacy and cybersecurity fueled by machine and deep learning techniques. The impact of the book lies in the improvements expected by the widespread implementation of the machine and deep learning techniques described. These techniques can be used by automated systems for smart data analysis and a higher success rate in threats and malware detection is expected, as well as a reduction in nonconformities with privacy rules. The value-added of the book lies on the innovative methods and techniques described that can help improve the performance and reliability of privacy and cybersecurity applications. *Target Audience* This book is designed for IT specialists, computer engineers, industry professionals, privacy specialists, security professionals, consultants, researchers, academics, and students interested in the impact of machine and deep learning in privacy and cybersecurity, and the methodologies that can help improve the effectiveness of applications related to those aspects. *Recommended Topics* Machine and Deep Learning for Privacy-Preserving; Ontologies for Machine and Deep Learning in Cyberattack Detection; Assessing Machine and Deep Learning Algorithms for Cybersecurity; Advances in Machine and Deep Learning for Malware Detection; Machine and Deep Learning Methods for Intrusion Detection; Machine and Deep Learning for Authentication; Machine and Deep Learning Algorithms for Predicting Cyberattack Rates; Cybersecurity and Privacy on the Internet of Things with Machine and Deep Learning; Machine and Deep Learning Challenges for Cybersecurity in Edge Computing; Auditing and Privacy-Preserving with Machine Learning and Blockchain; Machine and Deep Learning Algorithms for privacy compliance (GDPR and others); The consequences of Quantum Computing in Machine and Deep Learning Algorithms for Cybersecurity; Machine and Deep Learning in Automotive Cybersecurity and Privacy; Future trends on Artificial Intelligence, Machine Learning, and Deep Learning in Cybersecurity. *Submission Procedure* Researchers and practitioners are invited to submit on or before *June 25, 2021*, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by *June 30, 2021* about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by *September 23, 2021*, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. All proposals should be submitted through the eEditorial Discovery? online submission manager. *Inquiries can be forwarded electronically by mail to*: anacleto.correia at ieee.org More information: https://www.igi-global.com/publish/call-for-papers/call-details/5297 Important Dates *June 25, 2021*: Chapter Proposal Submission Deadline *June 30, 2021*: Notification of Acceptance *September 23, 2021*: Full Chapter Submission *November 21, 2021*: Review Results Returned *January 2, 2022*: Final Acceptance Notification *January 16, 2022*: Final Chapter Submission Kind regards, Editors *Victor Lobo*, Full Professor, Nova-IMS, Naval Academy, Portugal *Anacleto Correia*, Associate Professor, Naval Academy, Portugal -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimo.srt at gmail.com Fri Jun 18 15:01:49 2021 From: massimo.srt at gmail.com (Massimo Sartori) Date: Fri, 18 Jun 2021 21:01:49 +0200 Subject: Connectionists: [Job] Software developer for biomechanics and biorobotics In-Reply-To: References: Message-ID: Are you seeking challenging projects at the edge of what is technically possible? Are you interested in joining an open-source software initiative aimed at improving human movement and health? Do you want to oversee the software management and working process of an R&D Lab? The Department of Biomechanical Engineering, Faculty of Engineering Technology, at the University of Twente is seeking for a creative and motivated software developer as part of the ERC Project INTERACT. Within INTERACT we develop advanced physics-based modelling software to simulate how humans move (e.g., how our brain controls our muscles to create different movements) and to control wearable robots (e.g., bionic limbs and exoskeletons). We use specialized and advanced measurement setups, some of which we even develop and integrate ourselves. We are a rapidly growing Department. You will become one of the architects of a large-scale software framework to model and simulate human movement (and injury) assisted by advanced wearable robots, such as bionic prostheses and exoskeletons. You will also manage the working process and organization of the Neuromechanics Lab. Our department currently employs more than 70 people, including scientists, teachers and technicians, of different nationalities. You will be part of a team of R&D Engineering Technicians who complement each other. Many of our R&D projects are in collaboration with other research institutions and companies from the Netherlands and abroad. Please, apply from the link below by *July 4th, 2021*: https://www.utwente.nl/en/organisation/careers/!/2021-410/software-ict-developer-for-biomechanics-and-bio-robotics *University of Twente (UT)* has entered the new decade with an ambitious, new vision, mission and strategy. As ?the ultimate people-first university of technology' we are rapidly expanding on our High Tech Human Touch philosophy and the unique role it affords us in society. Everything we do is aimed at maximum impact on people, society and connections through the sustainable utilisation of science and technology. We want to contribute to the development of a fair, digital and sustainable society through our open, inclusive and entrepreneurial attitude. This attitude permeates everything we do and is present in every one of UT's departments and faculties. Building on our rich legacy in merging technical and social sciences, we focus on five distinguishing research domains: Improving healthcare by personalised technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world. As an employer, the University of Twente offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With us, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customisable conditions. --- Massimo Sartori, Ph.D. Associate Professor Director, Neuromechanical Modeling & Engineering Lab University of Twente TechMed Centre Department of Biomechanical Engineering 7500 AE, The Netherlands Personal: https://people.utwente.nl/m.sartori Lab: https://bit.ly/NMLab YouTube: https://bit.ly/NMLTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.nolfi at cnr.it Mon Jun 21 02:51:48 2021 From: stefano.nolfi at cnr.it (Stefano Nolfi) Date: Mon, 21 Jun 2021 08:51:48 +0200 Subject: Connectionists: =?utf-8?q?Open_access_book_on_=E2=80=9CBehavioral?= =?utf-8?q?_and_Cognitive_Robotics=3A_An_Adaptive_Perspective=22?= Message-ID: <79B71F99-B61B-4847-9010-5C21155362C2@cnr.it> This new book (available from https://bacrobotics.com) which is targeted toward researchers, Phd, and master students with an interest in neural networks and robotics: * introduces autonomous robots, neuro-evolution, reinforcement learning and learning by demonstration methods; * uses concrete experiments to illustrate the fundamental aspects of embodied intelligence; * provides theoretical and practical knowledge, including tutorials and exercises; * illustrates in an integrated manner the research carried in partially separated research communities. best regards, Stefano Author?s Bio: Stefano is a research director of the Institute of Cognitive Sciences and Technologies of the Italian National Research Council and head of the Laboratory of Autonomous Robots and Artificial Life. He conducted pioneering research in Artificial Life and is one of the founders of Evolutionary Robotics. His main research interest is in the study of how embodied and situated agents can develop behavioral and cognitive skills autonomously by adapting to their task/environment. Stefano authored and co-authored more than 200 peer-review scientific publications including a monograph book on Evolutionary Robotics published by MIT (2000) and a book on Evolution of Communication and Language in Embodied Agents published by Springer Verlag (2010). He coordinated and participated to several international research projects. Stefano Nolfi Institute of Cognitive Sciences and Technologies Consiglio Nazionale delle Ricerche (CNR-ISTC) Via S. Martino della Battaglia 44, 00185, Roma, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.bach at ucl.ac.uk Mon Jun 21 03:06:40 2021 From: d.bach at ucl.ac.uk (Dominik R. Bach) Date: Mon, 21 Jun 2021 09:06:40 +0200 Subject: Connectionists: Post doc in Cognitive-Computational Neuroscience at University College London (discrete and continuous human action control under threat) Message-ID: *Post doc in Cognitive-Computational Neuroscience at University College London: discrete and continuous human action control under threat* We are looking for a research fellow in an ERC-funded research project "Action selection under threat - the complex control of human defence" led by Dr Dominik Bach (http://bachlab.org ) and based at University College London, Max-Planck UCL Centre for Computational Psychiatry (https://www.mps-ucl-centre.mpg.de/en ) and Wellcome Centre for Human Neuroimaging (http://www.fil.ion.ucl.ac.uk/ ). The overarching goal of the project is to understand the cognitive-computational control of human motor behaviour under acute, immediate threat. We investigate this in an immersive virtual reality (VR) environment, in which people can move to avoid a large number of different threats. As part of this project, the candidate will build and test explicit computational models of discrete and continuous action control and action updating under constraints of time pressure and unaffordable costs. We seek applicants with established cognitive-computational modelling skills and a PhD in computational neuroscience, robotics with focus on action planning, computer science/mathematics/physics with a focus on decision science,? or in a related area. We are looking for an individual who is strongly motivated to pursue an academic career and is excited by the opportunities for personal and career development this position can provide. The post is available from October 2021 and funded for up to 3 years with initial appointment for 1 year. Starting salary is on UCL grade 7, ranging from ?36,028 to ?43,533 per annum, inclusive of London Allowance, superannuable. More information and access to the UCL online application portal: https://is.gd/VwTJCA Please contact d.bach at ucl.ac.uk for any queries about the project or role. *Closing date: 16 July 2021* Interviews will be held remotely in July. Apologies for cross-posting. -- ----------------------- Dominik R Bach MBBS PhD Principal Research Fellow Max Planck UCL Centre for Computational Psychiatry and Ageing Research Wellcome Centre for Human Neuroimaging, University College London http://bachlab.org | @bachlab_cog -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.passarella at iit.cnr.it Mon Jun 21 06:00:01 2021 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Mon, 21 Jun 2021 12:00:01 +0200 (CEST) Subject: Connectionists: Scouting for PhD students at IIT-CNR, Pisa, Italy - DEADLINE approaching Message-ID: <20210621100001.73A2F1630086@magneto.iit.cnr.it> The Ubiquitous Internet Research Unit @ IIT-CNR, Pisa, Italy, is scouting for PhDs on the topics indicated below. ************************************************************************* * Full information available at http://turig.iit.cnr.it/ui-positions/ * * Deadline: continuous evaluation, up until 10th July 2021 * ************************************************************************* The Institute is funding several PhD positions on cutting-edge topics, due to start in November 2021, in one of the several PhD programmes it is part of. Please see the dedicated section at http://turig.iit.cnr.it/ui-positions/ for specific information. Selected candidates identified through the interviews will be invited to apply to one of the specific PhD programmes where the PhD positions are funded. Available PhD positions -------------------------- Human-centric Artificial Intelligence Decentralised AI for resource-constrained edge systems Quantum Internet: Interconnection of Quantum and Legacy-Internet Networks Resource allocation and slicing in MEC systems for latency-sensitive IoT applications AI-based Decision Support Systems for Smart Healthcare applications ** Hosting Universities for PhDs: 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 an interview on the specific topic. From maneetsingh18 at gmail.com Mon Jun 21 01:41:25 2021 From: maneetsingh18 at gmail.com (Maneet Singh) Date: Mon, 21 Jun 2021 11:11:25 +0530 Subject: Connectionists: CFP: CIKM2021 International Workshop on Modelling Uncertainty in the Financial World (MUFin21) Message-ID: Dear Researcher, We invite you to submit at the MUFin21 workshop! The workshop provides a platform for experts across industry and academia to discuss and present challenges, novel solutions, and pave the way for future directions in modelling sequential data uncertainty for the financial world. *We invite papers focused on modelling uncertainty for financial applications.* Topics of interest include, but are not limited to the following: *Application Topics:* - Evaluating financial risk - Forecasting stock market - Modelling seasonality in market trends - Fraud prediction - Modelling temporal social media activity - Recommendation systems - Adversarial Attacks on financial models *Technical Topics:* - Temporal/Sequential data modelling ? clustering, classification - Modelling uncertainty in financial data - Temporal graphs - Time Series Forecasting - Text analytics of financial reports, forecasts, and documents - Explainable/interpretable sequential modelling - Exploring fairness and robustness towards bias in financial models - Representation learning from temporal/sequential data - Modelling financial data as temporal point processes *Submission Deadline: 15th July 2021* Website: https://sites.google.com/view/mufin21/home The best paper of the workshop will be awarded a *Best Paper Award* worth $500! Please refer to the website for more details. Incase of any queries, please reach out to Maneet Singh at maneet.singh at mastercard.com. Best, Maneet -------------- next part -------------- An HTML attachment was scrubbed... URL: From mgalle at gmail.com Mon Jun 21 08:20:25 2021 From: mgalle at gmail.com (=?UTF-8?Q?Matthias_Gall=C3=A9?=) Date: Mon, 21 Jun 2021 14:20:25 +0200 Subject: Connectionists: internship: adapter layers for speech-to-text translation Message-ID: At Naver Labs Europe we have been exploring adapter layers for multi-lingual & domain translation models. We are now looking for a motivated intern to continue this exploration for speech translation models. This is an exciting opportunity for an advanced research master or PhD student interested in working alongside experienced researchers in a world-class industrial research lab. Publications of results is strongly encouraged More details and applications instructions: https://europe.naverlabs.com/job/unsupervised-speech-to-text-translation-using-adapter-modules/ --mg -------------- next part -------------- An HTML attachment was scrubbed... URL: From helena at incf.org Mon Jun 21 08:35:01 2021 From: helena at incf.org (Helena Ledmyr) Date: Mon, 21 Jun 2021 14:35:01 +0200 Subject: Connectionists: Q&A about INCF activities and membership Message-ID: Hello! Are you an open neuroscience practitioner or want to become one? Do you want to have input on global strategies for data sharing in neuroscience? Join the INCF network! INCF directors Helena Ledmyr and Mathew Birdsall Abrams will answer all your questions about INCF participation in our webinar on June 29th at 10am EDT / 4pm CEST, where long-time community member Samir Das (McGill U) will reflect on how he has benefited from membership. Register at bit.ly/INCFwebinar Information about INCF and memberships can be found on our website . All the best, Helena Ledmyr ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels v?g 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr at incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tom.Hanika at cs.uni-kassel.de Mon Jun 21 10:08:09 2021 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Mon, 21 Jun 2021 16:08:09 +0200 Subject: Connectionists: [ICFCA 2021] Call for Participation (Virtual Event): 16th International Conference on Formal Concept Analysis Message-ID: <61a891f7-6431-b68d-3ede-39b4e6e36cd4@cs.uni-kassel.de> ================================================================================ ?16th International Conference on Formal Concept Analysis (ICFCA 2021) ?June 29 -- July 2, 2021, Strasbourg, France ?Web: Mail: icfca2021 at sciencesconf.org ?*Scientific Program*: https://icfca2021.sciencesconf.org/program *** *REGISTRATION IS FREE BUT MANDATORY* *** ================================================================================ * 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 IAIS, Germany). * *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. * Conference Chairs and Program Chairs Florence Le Ber, ICUBE, Universit? de Strasbourg, CNRS, ENGEES, France Agn?s Braud, ICUBE, Universit? de Strasbourg,? CNRS, France Aleksey Buzmakov, Higher School of Economics, Russia Tom Hanika, Universit?t Kassel, Germany From jiangdm at nwpu.edu.cn Mon Jun 21 04:53:34 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Mon, 21 Jun 2021 16:53:34 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Call for Demonstrations and Exhibits Message-ID: <705c8267.78cf.17a2dc66571.Coremail.jiangdm@nwpu.edu.cn> Call for Demonstrations and Exhibits *************************************** ACM ICMI 2021: Call for Demonstrations and Exhibits https://icmi.acm.org/2021/index.php?id=cfd 18-22 Oct 2021, Montreal, Canada *************************************** We invite you to submit your proposals for demonstrations and exhibits to be held during the 23rd ACM International Conference on Multimodal Interaction (ACM ICMI 2021), located in Montreal, Canada, October 18-22nd, 2021. This year's conference theme is on multimodal interaction for behavioural health and virtual connectivity. Demonstrations and Exhibits: The ACM ICMI 2021 Demonstrations & Exhibits session is intended to provide a forum to showcase innovative implementations, systems and technologies demonstrating new ideas about interactive multimodal interfaces. It can also serve to introduce commercial products. Proposals may be of two types: Demonstrations or Exhibits. The main difference is that demonstrations include a 1-2 page paper, which will be included in the ACM ICMI main proceedings, while the exhibits only need to include a brief outline (no more than one page; not included in ICMI proceedings). We encourage both the submission of early research prototypes and interesting mature systems. In addition, authors of accepted regular research papers may be invited to participate in the demonstration sessions as well. Demonstration Submission: Please submit a 1-2 page description of the demonstration through the main ICMI conference management system (https://new.precisionconference.com/sigchi). Demonstration description(s) must be in PDF format, according to the ACM conference format, of no more than 2 pages in length including references (see submission format). Demonstration proposals should include a description with photographs and/or screen captures of the demonstration. A video of the proposed demo should accompany the submission (no larger than 200MB), which can be in PowerPoint format (no more than 10 slides). The demo and exhibit paper submissions are not anonymous. However, all ACM rules and guidelines related to paper submission should be followed (e.g. plagiarism, including self-plagiarism).. The demonstration submissions will be peer reviewed, according to the following criteria: suitability as a demo, scientific or engineering feasibility of the proposed demo system, application, or interactivity, alignment with the conference focus, potential to engage the audience, and overall quality and presentation of the written proposal. Authors are encouraged to address such criteria in their proposals, along with preparing the short papers mindful of the quality and rigorous scientific expectations of an ACM publication. The demo program will include the accepted proposals and may additionally include invited demos from among full-length papers accepted for presentation at the conference. Please note that the accepted descriptions will be included in the ICMI main proceedings. Exhibit Submission: Exhibit proposals should be submitted following the same guidelines, formatting, and due dates as for demonstration proposals. Exhibit proposals must be shorter in length (up to one page) and more suitable for mature systems. Exhibits will not have a paper published in the ICMI 2021 proceedings. Facilities: Once accepted, demonstrators and video presenters will be provided with a table, poster board, power outlet and wireless (shared) Internet. Demo and video presenters are expected to bring with themselves everything else needed for their demo and video presentations, such as hardware, laptops, sensors, PCs, etc. However, if you have special requests such as a larger space, special lighting conditions and so on, we will do our best to arrange them. Important note for the authors: 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 the conference. The official publication date affects the deadline for any patent filings related to published work. Attendance: At least one author of all accepted Demonstrations and Exhibits submissions must register for and attend the conference, including the conference demonstrations and exhibits session(s). Important Dates: Submission of demo and exhibit proposals July 19, 2021 Demo and exhibit notification of acceptanceAugust 2, 2021 Submission of demo final papers August 17, 2021 Questions? For further questions, contact the Demonstrations and Exhibits co-chairs: Yelin Kim and Fabien Ringeval (icmi2021-demo-chairs at acm.org). ------------------------------------------------------------------------------- Dongmei Jiang Professor, 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 riccardo.guidotti at unipi.it Mon Jun 21 09:19:39 2021 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Mon, 21 Jun 2021 15:19:39 +0200 Subject: Connectionists: XKDD 2021 - Call for Papers - Extended Deadline Message-ID: XKDD 2021 - Call for Papers ------------------------------------------------------------------------- 3rd International Workshop on eXplainable Knowledge Discovery in Data Mining ------------------------------------------------------------------------- IMPORTANT DATES Paper Submission deadline: July 7, 2021 Accept/Reject Notification: July 21, 2021 Camera-ready deadline: Aug 14, 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, Sweden - 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 calendarsites at insticc.org Mon Jun 21 11:27:54 2021 From: calendarsites at insticc.org (calendarsites at insticc.org) Date: Mon, 21 Jun 2021 16:27:54 +0100 Subject: Connectionists: [CFP]13th Int. Conf. on on Neural Computation Theory and Applications :: New Submission Deadline - June 25th Message-ID: <009101d766b2$05561b60$10025220$@insticc.org> CALL FOR PAPERS 13th International Conference on Neural Computation Theory and Applications New Regular/Position Paper Submission Deadline: June 25 2021 http://www.ncta.ijcci.org/ October 25 - 27, 2021 Online Streaming In Cooperation with Spanish Association of Artificial Intelligence Association for the Advancement of Artificial Intelligence Associazione Italiana per l'Intelligenza Artificiale Neural computation and artificial neural networks, especially in relation to deep learning, have seen an explosion of interest over the recent decades, and are being successfully applied across an extraordinary range of problem domains, in areas as diverse as finance, medicine, engineering, geology and physics, in problems of complex dynamics and complex behavior prediction, classification or control. Several architectures, learning strategies and algorithms have been introduced in this highly dynamic field in the last couple of decades. Nowadays, having reached notable scientific and applicative maturity, neural computation and related techniques are considered as major basis toward the completion of intelligent artificial systems. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of neural computing systems, both theoretically and in a broad range of application fields. Conference Chair(s) Juan Julian Merelo, University of Granada, Spain Kevin Warwick (honorary), University of Reading and Coventry University, United Kingdom Program Chair(s) H. K. Lam, King's College London, United Kingdom Marie Cottrell, Universit? Paris1, France With the presence of internationally distinguished keynote speakers: Susana Vieira, University of Lisbon, Portugal Joseph Rynkiewicz, Universit? de Paris 1 Panth?on-Sorbonne, France Carlos Coello, CINVESTAV-IPN, Mexico Barbara Hammer, Bielefeld University, Germany 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. 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 SCI 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 NCTA Secretariat Web: http://www.ncta.ijcci.org/ e-mail: ncta.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From sanjay.ankur at gmail.com Mon Jun 21 10:09:49 2021 From: sanjay.ankur at gmail.com (Ankur Sinha) Date: Mon, 21 Jun 2021 15:09:49 +0100 Subject: Connectionists: NeuroML hands-on satellite tutorial at CNS*2021 on July 2nd 2021 at 1500 UTC Message-ID: <20210621140949.rhdu6ctl4oigbhbl@ankur.workstation> Dear all, Apologies for the cross-posts. We will be running a half day satellite tutorial at the 30th annual meeting of the Organization for Computational Neurosciences (OCNS), CNS*2021 Online. The tutorial will be held on July 2nd, 2021 at 1500 UTC. https://docs.neuroml.org/Events/202107-CNS2021.html The goal of the tutorial is to teach users to build, visualise, analyse, and simulate models using NeuroML. Why take part? --------------- This tutorial is aimed at new and current NeuroML users. We will start with a quick introduction to the NeuroML standard and the associated software ecosystem, after which we will proceed to conduct hands-on sessions to show how one can build computational models with NeuroML. Times and dates ---------------- - Friday 2nd July 1500 UTC Click here for your local time: https://www.timeanddate.com/worldclock/fixedtime.html?msg=NeuroML+tutorial+at+CNS%2A2021&iso=20210702T11&p1=179&ah=3 Registration ------------- To take part in the tutorial, please register here for the CNS*2021 meeting: https://www.cnsorg.org/cns-2021 Pre-requisites --------------- The sessions will make use of the NeuroML Python tools. Please follow the documentation to install them on your system if you wish to use them locally: - PyNeuroML: https://docs.neuroml.org/Userdocs/Software/pyNeuroML.html#pyneuroml - libNeuroML: https://docs.neuroml.org/Userdocs/Software/libNeuroML.html#libneuroml You can also use the interactive Jupyter notebooks from the documentation if you prefer (example: https://docs.neuroml.org/Userdocs/NML2_examples/SingleNeuron.html). These can be run on Binder and Google Collab in your web browser and do not require you to install anything locally on your computer. Slack ----- To aid communication with the community during (and after) the meeting, we have a Slack channel for NeuroML related discussions. Please contact Padraig Gleeson (p DOT gleeson AT ucl DOT ac DOT uk) or Ankur Sinha (ankur DOT sinha AT ucl DOT ac DOT uk) for an invite. You can also contact the NeuroML community using one of our other channels: https://docs.neuroml.org/NeuroMLOrg/CommunicationChannels.html#contact-chat We look forward to working with the community to drive further uptake of NeuroML compliant models and tools! -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London From mbaroni at gmail.com Mon Jun 21 09:56:00 2021 From: mbaroni at gmail.com (Marco Baroni) Date: Mon, 21 Jun 2021 15:56:00 +0200 Subject: Connectionists: PhD and postdoc positions in emergent deep net communication Message-ID: We are offering a number of 5-year postdoc positions and 4-year PhD fellowships to work on the ALiEN project at Universitat Pompeu Fabra in Barcelona. Selected candidates will have competitive salaries and enjoy considerable freedom to lead basic research work within the framework of the project. ALiEN (Autonomous Linguistic Emergence in Neural Networks) is an ERC-funded project investigating spontaneous communication in populations of deep neural networks, with the aim to improve their flexibility in solving complex AI tasks and the interpretability of their behavior. You can find more information, including postdoc and PhD calls, on the project site: http://marcobaroni.org/alien/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ssliu at coe.neu.edu Mon Jun 21 17:14:04 2021 From: ssliu at coe.neu.edu (Shanshan Liu) Date: Mon, 21 Jun 2021 21:14:04 +0000 Subject: Connectionists: [IEEE TCAS-I Special Section] Call for Papers: Circuits and Systems For Emerging Computing Paradigms Message-ID: <20210621211404.Horde.qEftWBbt3v0BZmVwvOSqAA2@webmail.coe.neu.edu> Dear Colleague, ? IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I) seeks submissions for the upcoming Special Issue on?"CIRCUITS AND SYSTEMS FOR EMERGING COMPUTING PARADIGMS"[1]. ? As Dennard?s law is coming to an end, on-chip power consumption reduction and throughput improvement due to technology scaling pose serious challenges; workloads of today?s applications (such as AI, Big Data, and IoT) have also reached extremely high levels of complex computation. Power dissipation has become the fundamental barrier to scale computing performance across all technology platforms. Computation at nanosclaes requires innovative approaches. Moreover, many emerging computing paradigms have been widely studied (e.g., approximate, stochastic, neuromorphic, in-memory), mostly at system level to alleviate the encountered hurdles; however, their successful evolution necessitates implementations that require efficient circuits in a multitude of modules (such as memory, arithmetic, and control). Substantial challenges still remain also at architectural and system levels. Although bridging of technology with circuit design has attracted significant attention from academic and industrial communities in the past decade, it still requires considerable efforts to accomplish implementations that are energy-efficient and high-performance for systems in diverse computing applications. ? Authors are invited to submit Regular papers following the IEEE TCAS-I guidelines within the scope of this Special Issue. Topics in scope for ?Circuits and systems for emerging computing paradigms? include (but are not limited to): * Computing using circuit-level emerging technologies * Architectural and system-level support for emerging computing paradigms * Emerging paradigms using novel computational approaches * Circuits for emerging error-tolerant and dependable designs * Design methodologies and automation tools for emerging computing paradigms * Hardware accelerators and architectures * Hybrid circuits for high throughput computation * Applications and experimental case studies SUBMISSION GUIDELINES:?All submitted manuscripts must * conform to TCAS-I?s formatting requirements and page count; * incorporate no less than 50% of new (unpublished) technical material; * be submitted online at?https://mc.manuscriptcentral.com/tcas1. Please select ?SPECIAL ISSUE ON EMERGING COMPUTING PARADIGMS? when submitting a manuscript to this Special Issue. DEADLINES: * Paper Submission:?SEP. 15, 2021 * Completion of First Review:?DEC. 15, 2021 * Completion of Final Review:?FEB. 15, 2022 * Target Publication:?APR. 15, 2022 ? GUEST EDITORS: Dr. Shanshan Liu Northeastern University, USA E-mail:?ssliu at coe.neu.edu Dr. Bi Wu Nanjing University of Aeronautics and Astronautics, China E-mail:?wubi_sl at nuaa.edu.cn Dr. Ke Chen Nanjing University of Aeronautics and Astronautics, China E-mail:?chen.ke at nuaa.edu.cn Prof. Weiqiang Liu Nanjing University of Aeronautics and Astronautics, China E-mail:?liuweiqiang at nuaa.edu.cn Prof. Maire O?Neill Queen?s University Belfast, UK E-mail:?m.oneill at ecit.qub.ac.uk Prof. Fabrizio Lombardi Northeastern University, USA E-mail:?lombardi at ece.neu.edu Further details are?available?at?https://ieee-cas.org/pubs/tcas1/call-papers-special-issue-circuits-and-systems-emerging-computing-paradigms Links: ------ [1] https://ieee-cas.org/pubs/tcas1/call-papers-special-issue-circuits-and-systems-emerging-computing-paradigms -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahidullahmd at gmail.com Tue Jun 22 03:07:01 2021 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Tue, 22 Jun 2021 09:07:01 +0200 Subject: Connectionists: Final Call for ASVspoof 2021: Audio DeepFake Detection Challenge (Registration Deadline: June 23, 2021) Message-ID: *Apologies for possible cross-posting* ============================= Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2021) accepts registrations until June 23, 2021: https://www.asvspoof.org/ . The challenge includes three different scenarios, each of which can be attended independent of the other two: physical access (PA), logical access (LA), and speech deepfake (DF). How to participate? 1. Read the evaluation plan: https://www.asvspoof.org/asvspoof2021/asvspoof2021_evaluation_plan.pdf 2. Register: https://www.spsc-sig.org/form/asvspoof-2021-registration-form 3. Join e-mail list: send an e-mail to sympa at lists.asvspoof.org with with 'subscribe ASVspoof2021' as the subject line. 4. Download the challenge data: - LA (~ 8 GB): https://zenodo.org/record/4837263 - PA (~46 GB): https://zenodo.org/record/4834716 - DF (~34 GB): https://zenodo.org/record/4835108 5. Create account in Codalab (https://competitions.codalab.org/ ) and request access to the scenario(s) of your interest: - LA: https://competitions.codalab.org/competitions/32343 - PA: https://competitions.codalab.org/competitions/32347 - DF: https://competitions.codalab.org/competitions/32345 6. Official challenge baselines codes: http://github.com/asvspoof-challenge/2021 7. Challenge metric (tandem detection cost function) reference implementations: - Python: https://www.asvspoof.org/resources/tDCF_python_v2.zip - Matlab: https://www.asvspoof.org/resources/tDCF_matlab_v2.zip Please note that you need to separately register for the challenge, AND to request challenge access in Codalab (preferably using the same e-mail address). Both will be manually validated by the organizers. Access to Codalab will be granted to registered participants only. The challenge will run in 2 phases, a 'progress' phase and the main 'evaluation' phase. For further details, refer to the evaluation plan. Best regards, The ASVspoof 2021 challenge organizers -- Md Sahidullah website: *https://sites.google.com/site/iitkgpsahi/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Tue Jun 22 06:31:26 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Tue, 22 Jun 2021 12:31:26 +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 - Philippe Leray, Professor at University of Nantes - Stefan FENZ, key researcher at SBA Research and Senior Scientist at Vienna University of Technology - Olivier Dameron, Professor at Universit? de Rennes I, Dyliss team, Irisa / Inria Rennes-Bretagne Atlantique - Aar?n Ayll?n Benitez, Phd in bioinformatique, ontology leader at BASF digital solutions - Fran?ois Scharffe, Researcher on Knowledge based AI, New York, United States - Maxime Lefran?ois, Associate Professor at Saint Etienne University, France - Pierre Maret, The QA Company & Saint Etienne University, France **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 hcomp.publicity at gmail.com Mon Jun 21 23:51:13 2021 From: hcomp.publicity at gmail.com (HCOMP Publicity) Date: Mon, 21 Jun 2021 23:51:13 -0400 Subject: Connectionists: HCOMP 2021: Call for papers Message-ID: *We apologize for cross-posting* Dear Colleagues, We invite your participation at the 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021) to be held virtually, *November 14-18, 2021*. HCOMP is the home of the human computation and crowdsourcing community. It is the premier venue for presenting the latest findings from research and practice into frameworks, methods and systems that bring together people and machine intelligence to achieve better results. The conference invites various types of submissions for full research papers, Blue Sky Ideas, workshops to be held at the conference, and works-in-progress and demos. The conference also invites submission to the Graduate Consortium and to CrowdCamp, two events that complement the main conference. The full Call for Papers is available at https://www.humancomputation.com. Please note the upcoming deadlines: June 25, 2021: Abstract submission (required to submit a full paper) July 2, 2021: Full papers due August 20, 2021: Notification of acceptance September 3, 2021: Final camera-ready papers due Electronic abstract and paper submission through the HCOMP-21 EasyChair paper submission site (https://easychair.org/conferences/?conf=hcomp2021) is required on or before the deadlines listed above. Please contact us at hcomp21 at aaai.org if you have any questions. We look forward to your participation at HCOMP 2021 this fall! - The Organizing Committee for HCOMP2021 Website: https://www.humancomputation.com Twitter: @hcomp_conf -------------- next part -------------- An HTML attachment was scrubbed... URL: From li.zhaoping at tuebingen.mpg.de Tue Jun 22 08:18:00 2021 From: li.zhaoping at tuebingen.mpg.de (Zhaoping Li) Date: Tue, 22 Jun 2021 14:18:00 +0200 Subject: Connectionists: Tutorial on "Understanding early visual receptive fields from efficient coding principles" In-Reply-To: <2bd5efa7-7cd1-302b-ee22-5486457143cc@tuebingen.mpg.de> References: <2f2e15b4-c27b-4d39-c816-f2a6e5afca1a@tuebingen.mpg.de> <2bd5efa7-7cd1-302b-ee22-5486457143cc@tuebingen.mpg.de> Message-ID: <71ba19d2-be07-fcd4-1fb4-a5c506c6cc82@tuebingen.mpg.de> Understanding principles of efficient coding can enable you to answer questions such as: why should the input contrast response function of a neuron take its particular form? Why do retinal ganglion cells have center-surround receptive fields? How correlated or uncorrelated should the visual responses from different retinal ganglion cells be? Why do receptive fields of retinal ganglion cells increase their sizes in dim light? How could visual coding depend on animal species? Why are color selective V1 neurons less sensitive to visual motion signals? How can one predict the ocular dominance properties of V1 neurons from developmental conditions? How should neurons adapt to changes in visual environment? This tutorial guides you on how to answer such questions. It contains: (1) A list of 45 short video lecture clips (about 10 minutes each on average) on YouTube, see http://www.lizhaoping.org/zhaoping/EfficientVisualCoding_Playlist.html (2) In addition to (1), you can join CNS *2021 (see https://www.cnsorg.org/cns-2021-tutorials#T3 ), which enables social interactions with the lecturer and other students via Discord, and on July 3rd (the tutorial day) for highlights, Q&As, and discussions. best, Li Zhaoping -- Li Zhaoping Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Dept of Sensory and Sensorimotor Systems, Max Planck Institute of Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org * * -------------- next part -------------- An HTML attachment was scrubbed... URL: From antona at alleninstitute.org Wed Jun 23 13:56:50 2021 From: antona at alleninstitute.org (Anton Arkhipov) Date: Wed, 23 Jun 2021 17:56:50 +0000 Subject: Connectionists: Tutorials on Allen Institute data and tools for computational neuroscience at CNS*2021 Message-ID: <36F0752A-DF0B-40D0-911E-F57F2C05314D@alleninstitute.org> Dear all, Please join us for pre-CNS*2021 tutorials on June 30 and July 1: ?From synapses to behavior ? using open data, tools, and models from the Allen Institute in computational neuroscience?. https://www.cnsorg.org/cns-2021-tutorials#SA5 The Allen Institute recently released multiple free resources focusing on the structure and function of brain circuits, including data, associated analysis software, and models integrating the data to enable bio-realistic simulations. We will introduce several of these resources in a series of 1-hour sessions. The resources covered will include characterization of cell types and synapse types, 2-photon calcium imaging and Neuropixels electrophysiology in vivo, a visual behavior dataset, and bio-realistic models and modeling software. Wednesday, June 30, 2021 11:30 am ? 11:45 am EST (8:30 am ? 8:45 am PST) - Introduction 11:45 am ? 12:45 pm EST (8:45 am ? 9:45 am PST) - Synaptic Physiology (Luke Campagnola) 12:45 pm ? 1:00 pm EST (9:45 am ? 10:00 am PST) - Break 1:00 pm ? 2:00 pm EST (10:00 am ? 11:00 am PST) - Visual Coding 2-photon (Saskia de Vries) 2:00 pm ? 3:00 pm EST (11:00 am ? 12:00 pm PST) - Visual Coding Neuropixels (Josh Siegle) Thursday, July 1, 2021 11:30 am ? 11:45 am EST (8:30 am ? 8:45 am PST) - Introduction 11:45 am ? 12:45 pm EST (8:45 am ? 9:45 am PST) - PatchSeq (Nathan Gouwens) 12:45 pm ? 1:00 pm EST (9:45 am ? 10:00 am PST) - Break 1:00 pm ? 2:00 pm EST (10:00 am ? 11:00 am PST) - Visual Behavior (Alex Piet) 2:00 pm ? 3:00 pm EST (11:00 am ? 12:00 pm PST) - Bio-realistic model of the mouse primary visual cortex (Anton Arkhipov and Kael Dai) Please register for CNS*2021 and join us for the tutorials! https://www.cnsorg.org/cns-2021-quick Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona at alleninstitute.org [Text Description automatically generated] alleninstitute.org brain-map.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 26603 bytes Desc: image001.png URL: From T.Nowotny at sussex.ac.uk Tue Jun 22 11:35:03 2021 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Tue, 22 Jun 2021 15:35:03 +0000 Subject: Connectionists: Three Assistant Professor Positions at University of Sussex In-Reply-To: References: Message-ID: Dear Connectionists, The School of Engineering and Informatics at the University of Sussex is seeking to hire three Assistant Professors (?Lecturers?, permanent position) in Computer Science and AI. One of the positions is particularly focused on a researcher with interests in one or more of the following areas: machine learning, ethical AI, computational Neuroscience, complexity science, consciousness science and bio-inspired AI and robotic control. They should be able to teach general subjects in Computer Science and Artificial Intelligence at Undergraduate and Taught Postgraduate levels. They will work within the Artificial Intelligence Research Group, including opportunities to interact with the robotics group in the Department of Engineering. The AI Research Group at the University of Sussex was created through the merger of the Evolutionary and Adaptive Systems (EASy) and the Data Science groups. We conduct research and teach a wide range of AI related topics, often cross-disciplinary and with a unique Sussex angle. We collaborate internationally and locally with academics, businesses, and public stakeholders, working at the frontiers of knowledge, on solving real-world problems, and in policy and public outreach. Applications should be accompanied by a full CV, and statements of future research plans and ways in which the applicant could contribute to teaching across the School. Please contact Dr Ian Mackie I.Mackie at sussex.ac.uk , Head of the Department of Informatics, for informal enquiries. The full job advert is posted at https://t.co/K0CdIYx6xH?amp=1 including a detailed person specification and details how to apply. Please get in touch if you are interested in these positions and forward to any interested colleagues. Kind regards, Thomas -- Prof Thomas Nowotny Head of the AI Research Group Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +44-1273-678593 FAX: +44-1273-877873 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sanjay.ankur at gmail.com Wed Jun 23 04:55:32 2021 From: sanjay.ankur at gmail.com (Ankur Sinha) Date: Wed, 23 Jun 2021 09:55:32 +0100 Subject: Connectionists: Software WG satellite tutorials at CNS*2021 on Bash, Git, and Python: June 28, 29 2021 Message-ID: <20210623085532.s2o2mjpf25uqxsur@ankur.workstation> Dear all, Apologies for the cross-posts. The INCF/OCNS Software Working Group is running three beginner/intermediate level satellite tutorials on Bash, Git, and Python at CNS*2021. These tutorials are on Monday and Tuesday (28/29 June). They are intended for both complete beginners and occasional/regular users who are looking to expand and refresh their skills. More information on these, including topics that we will cover can be seen on our website: https://ocns.github.io/SoftwareWG/2021/06/09/software-wg-tutorials-at-cns-2021-online-bash-git-and-python.html - Effective use of Bash (Felix B. Kern): 28 June, 2021 1200 UTC - Effective use of Git (Ankur Sinha): June 28, 2021 1700 UTC - Python for beginners (Joe Graham, Shailesh Appukuttan, Ankur Sinha): 29 June, 2021 1300 UTC One can register for CNS*2021 here to gain access to excellent set of tutorials/workshops/posters and oral presentations that are being organised this year: https://www.cnsorg.org/cns-2021 More information on the Software working group, our work, how you can contact us, and how you can join us (it is open to all) is here: https://ocns.github.io/SoftwareWG/index.html On behalf of the Software WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London From fabio.bellavia at unifi.it Wed Jun 23 06:56:56 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Wed, 23 Jun 2021 12:56:56 +0200 Subject: Connectionists: VISMAC2020 Phd summer school - UPDATES Message-ID: <0da01420-166d-066b-cadd-ff96e8b60138@unifi.it> *** UPDATES in relation to COVID-19 (Coronavirus) *** 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, Palermo, Italy https://math.unipa.it/vismac2020 ____________________________________________ === UPDATES regarding COVID-19 (coronavirus) === We would like to thank all those who have already expressed interest in attending the VISMAC summer school. The school is set to be held from the 21st to the 24th of September 2021 as a full online event through Microsoft Teams. At the conclusion of class, students will be required to perform successfully an online exam to obtain a final certification. 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 === Registration === School registrations are limited to forty participants, on a FIFS basis. 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 info and poster guidelines will come soon. === 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 pfbaldi at ics.uci.edu Tue Jun 22 10:47:07 2021 From: pfbaldi at ics.uci.edu (Baldi,Pierre) Date: Tue, 22 Jun 2021 07:47:07 -0700 Subject: Connectionists: New Book: Deep Learning in Science (Cambridge University Press) Message-ID: <3e73cc4c-bc35-61bb-b6fd-cb392901d4f0@ics.uci.edu> I would like to announce my new book: *Deep Learning in Science*.? Deep Learning in Science provides a rigorous treatment of deep learning from first principles, and demonstrates? several applications of deep learning in the natural sciences. Table of contents and draft chapters available from my web site . Synopsis and reviews available here . Book available? from Cambridge University Press , Amazon , and other vendors . -- Pierre Baldi Department of Computer Science University of California, Irvine -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.diederich at uq.edu.au Tue Jun 22 21:33:41 2021 From: j.diederich at uq.edu.au (Joachim Diederich) Date: Wed, 23 Jun 2021 01:33:41 +0000 Subject: Connectionists: New Book Chapter on Explanation and XAI Message-ID: Any form of artificial superintelligence has to be transparent, in other words, how it works must be comprehensible to humans at all times. Not just a few selected experts but to any human who requests information. This includes children and individuals with an intellectual disability. An advanced artificial intelligence must explain in human comprehensible form why certain actions were performed and how certain outcomes were achieved. These explanations must take the form of videos, multimedia content or demonstrations so that anybody can understand them. If humans want to have any trust in an artificial superintelligence then explanation is a core requirement. Diederich J. (2021) Explanation. In: The Psychology of Artificial Superintelligence. Cognitive Systems Monographs, vol 42. Springer, Cham. https://doi.org/10.1007/978-3-030-71842-8_3 From pfbaldi at ics.uci.edu Wed Jun 23 13:40:06 2021 From: pfbaldi at ics.uci.edu (Baldi,Pierre) Date: Wed, 23 Jun 2021 10:40:06 -0700 Subject: Connectionists: New Book: Deep Learning in Science (Cambridge University Press) Message-ID: <38cfb75b-0cb8-baf9-b213-41908b500d91@ics.uci.edu> I would like to announce my new book: *Deep Learning in Science*.? Deep Learning in Science provides a rigorous treatment of deep learning from first principles, and demonstrates? several applications of deep learning in the natural sciences. Table of contents and draft chapters available from my web site . Synopsis and reviews available here . Book available? from Cambridge University Press , Amazon , and other vendors . -- Pierre Baldi Department of Computer Science University of California, Irvine -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Tue Jun 22 08:30:26 2021 From: jonizhong at msn.com (Joni Zhong) Date: Tue, 22 Jun 2021 12:30:26 +0000 Subject: Connectionists: [CFP] Frontiers in Neurorobotics: Special Issue on Biological-Inspired Autonomous Mobile Manipulation: Message-ID: ================================================================================= Call for Papers: Frontiers in Neurorobotics Special Issue on Biological-Inspired Autonomous Mobile Manipulation: Challenges in Design, Control, and Real-World Applications ================================================================================= https://www.frontiersin.org/research-topics/21266/biological-inspired-autonomous-mobile-manipulation-challenges-in-design-control-and-real-world-appli Deadline for submission: Dec 15, 2021 Research in autonomous mobile manipulation aims to develop mobile robotic systems with manipulation capabilities to perform complex tasks in dynamic, unstructured, and field environments, in which task-tailored design, control, and novel application methods are required. Some widely used applications include, but not limited to, logistic, industrial maintenance, remote medical examination, and service robotic tasks. For this purpose, autonomous mobile manipulation systems should be able to perform and coordinate different skills, such as locomotion, perception, manipulation and grasping. To acquire more advanced autonomy and operate within the real world, such systems should be further investigated with the following capacities: (1) generality and be adaptive across unseen tasks; (2) perceiving their environments via sensors that typically deliver high-dimensional data with low response latency and energy efficiency; (3) travelling in challenging scenarios and performing complex tasks with uncertainty; (4) great system stability and complexity to integrate many hardware components as well as software algorithms for different functionalities. In nature, biological intelligence has great capabilities and generalities to locomote, perceive, and act in the real world exceptionally well and outperforms state-of-the-art robots in almost every aspect of life. Nowadays, more and more works are investigating biological-inspired for robotic studies in many areas, ranging from the biomimetic mechanical design of robots, neuromorphic sensing and computing to brain-inspired navigation. This research topic seeks to invite theoretical and experimental results dealing with biological-inspired and conventional techniques for the design, control, and real-world applications for autonomous mobile manipulation systems. Specifically, this research topic investigates interdisciplinary innovation in many areas of robots, such as information perception, novel control architectures, biomimetic mechanism, motion planning, grasping and manipulation, human-robot interaction, and artificial intelligence and machine learning. We welcome research articles, reviews, datasets or benchmarks tested in real-world applications. Topics of interest include, but are not limited to: ? Biomimetic mechanical design of novel autonomous mobile manipulation systems. ? Task-tailored design, control, and real-world applications for autonomous mobile manipulation ? Biological-inspired control architecture for autonomous mobile manipulation ? Neuromorphic sensing and data fusion for handling high-dimensional state spaces for autonomous mobile manipulation ? Biological-inspired motion planning methods for co-control of manipulation and mobile locomotion. ? Biological-inspired learning for grasping, manipulation, and navigation skills. ? Mapping and localization ? Benchmarking and datasets on autonomous mobile manipulation in real-world experiments Keywords: Autonomous mobile manipulation, Biological-inspired mechanism design, Biological-inspired control, Neuromorphic sensing and computation Guest Editors Zhenshan Bing, Technical University of Munich, Munich, Germany Fei Chen, Italian Institute of Technology (IIT), Genova, Italy Rui LI, Chongqing University, Chongqing, China Junpei Zhong, The Hong Kong Polytechnic University, Kowloon, Hong Kong Qiang Li, Bielefeld University, Bielefeld, Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From almayalanis at gmail.com Tue Jun 22 12:17:49 2021 From: almayalanis at gmail.com (Alma Y. Alanis) Date: Tue, 22 Jun 2021 11:17:49 -0500 Subject: Connectionists: Special Issue "Bioinspired Intelligent Algorithms for Optimization, Modeling and Control: Theory and Applications" Message-ID: Dear colleagues, I am happy to invite you to contribute to this special issue. Likewise, I would appreciate it if you share it among your collaborators who may be interested in the subject. *Special Issue "Bioinspired Intelligent Algorithms for Optimization, Modeling and Control: Theory and Applications"* https://www.mdpi.com/journal/mathematics/special_issues/Bioinspired_Intelligent_Algorithms_Optimization_Modeling_Control_Theory_Applications A special issue of *Mathematics* (ISSN 2227-7390). This special issue belongs to the section "*Mathematics and Computer Science* ". Deadline for manuscript submissions: *10 February 2022*. *Special Issue Information* Nowadays, the relevance of artificial intelligence in our daily lives is evident, this has led to recent great advances in the development and implementation of bioinspired intelligent algorithms to solve a wide variety of real-world problems, in addition to the growing interest in the analysis of its mathematical properties. Although artificial intelligence has been developed mainly based on its applications, it is currently not possible to conceive it without its respective theoretical and algorithmic analysis, furthermore to its multidisciplinary motivation and applications. These applications vary from mechatronic systems, artificial vision, biomedical systems, energy systems, transportation, economics, classification, complex networks, economic systems, industry, transportation, among others. The aim of this special issue is to highlight recent advances in the development and application of bioinspired intelligent algorithms to solve real-world problems related to optimization, modeling and control, to provide a space for collaboration between researchers from different disciplines to solve real-world applications with their respective constraints and features in different fields of research. Papers with mathematical analysis and real-world application are particularly welcome. Topics of interest include, but are not limited to: - Bioinspired intelligent algorithms for modeling - Bioinspired intelligent algorithms for control - Bioinspired intelligent algorithms for optimization - Data-driven bioinspired intelligent algorithms - Deep learning bioinspired intelligent algorithms - Mathematical analysis of bioinspired intelligent algorithms - Bioinspired intelligent algorithms applications to: robotics, dynamic systems, complex networks, classification, forecasting, biomedical systems, energy systems, industry, transportation, mechatronics, others. Prof. Dr. Alma Y. Alanis *Guest Editor* *University of Guadalajara, Mexico* -- Saludos Alma Yolanda -------------- next part -------------- An HTML attachment was scrubbed... URL: From junichiro.hirayama at aist.go.jp Tue Jun 22 23:52:25 2021 From: junichiro.hirayama at aist.go.jp (=?iso-2022-jp?B?GyRCSj87Mz1fMGxPOhsoQg==?=) Date: Wed, 23 Jun 2021 03:52:25 +0000 Subject: Connectionists: Post-doc position on machine learning and human motion/physiological data analysis at AIST, Japan Message-ID: Dear colleagues, We invite applications for a postdoctoral researcher position on machine learning and human motion/physiological data analysis, available at Mathematical Neuroscience Research Group, Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) (https://www.aist.go.jp/index_en.html), Japan. The successful candidate will join a collaborative project with ATR, Kyoto University and Hokkaido University on human-AI co-evolution, funded by NEDO (https://www.nedo.go.jp/english/), and conduct research on machine learning modeling and analysis of human motion data and/or related physiological signals from the brain and body, depending on his/her interests. The starting date is negotiable, with a preference for candidates who can start early. The initial appointment will be until March 2022, with the possibility of extension until March 31, 2025. Salary for the postdoctoral fellow will follow the AIST guideline. To apply, please visit https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=3&ln=1&id=D121020014&ln_jor=1 and send the required application documents to junichiro.hirayama at aist.go.jp. The deadline of application is August 31, 2021. The deadline may be extended until the position is filled. -- Jun-ichiro Hirayama Senior Researcher Human Informatics and Interaction Research Institute National Institute of Advanced Industrial Science and Technology (AIST) junichiro.hirayama at aist.go.jp https://staff.aist.go.jp/junichiro.hirayama From interdonatos at gmail.com Tue Jun 22 09:17:51 2021 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 22 Jun 2021 15:17:51 +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 *Invited Speakers* *F?bio Duarte MIT Senseable City Lab, USA* *Neave O' Cleary UCL, UK* *Daniel B. Neill NYU, USA* *Michael Szell ITU Copenhagen, Denmark* 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 yaningchang at gmail.com Wed Jun 23 08:58:40 2021 From: yaningchang at gmail.com (Ya-Ning Chang) Date: Wed, 23 Jun 2021 13:58:40 +0100 Subject: Connectionists: Invitation to Attend: Digital Language Learning, June 30 In-Reply-To: References: Message-ID: Dear colleagues, You are invited to join an online talk on digital language learning with rapidly developing technologies including VR, AI, and big data analytics. You can join Zoom (link via Here ). *Talk title: Digital Language Learning (DLL): Insights from Behavior, Cognition, and the Brain* Date and time: June 30 2021, 15:00?16:30 HK time Translate to your time zone. Speaker: Ping Li , The Hong Kong Polytechnic University Link for talk abstract & bio of the speaker: https://cuhklpl.github.io/forum.html Best regards, Virtual Psycholinguistics Forum Organising Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.gilra at sheffield.ac.uk Tue Jun 22 08:05:03 2021 From: a.gilra at sheffield.ac.uk (Aditya Gilra) Date: Tue, 22 Jun 2021 13:05:03 +0100 Subject: Connectionists: Post-doc / research associate position in neural reinforcement learning using causal models (Sheffield, UK, 33 months, deadline 4th July) Message-ID: Dear All, We're looking for a post-doc / research associate to work on bio-plausible neural networks that learn causal models of the environment and utilize these to plan and explain actions in reinforcement learning. The position is for 33 months at the University of Sheffield, UK. Read more at: https://www.chistera.eu/projects/causalxrl . Apply via (deadline: 4th July): https://jobs.shef.ac.uk/sap/bc/webdynpro/sap/hrrcf_a_posting_apply?PARAM=cG9zdF9pbnN0X2d1aWQ9NjBDN0UwNDVFNUVEMjZFN0UxMDAwMDAwQUMxRTg4NzgmY2FuZF90eXBlPUVYVA# Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group & Neuroscience Institute , Department of Computer Science, University of Sheffield, UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Jun 24 03:57:29 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 24 Jun 2021 10:57:29 +0300 Subject: Connectionists: =?iso-8859-1?q?Live_e-Lecture_by_Prof=2E_Konstant?= =?iso-8859-1?q?inos_N_Plataniotis=3A_=22Digital_Pathology=3A_On_th?= =?iso-8859-1?q?e_intersection_of_Computer_Vision_and_Data_Science?= =?iso-8859-1?q?=22=2C_29th_June_2021_17=3A00-18=3A00_CET=2E_Upcomi?= =?iso-8859-1?q?ng_AIDA_AI_excellence_lectures?= Message-ID: <00e701d768ce$95355110$bf9ff330$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Konstantinos N Plataniotis (University of Toronto, Canada), a prominent AI researcher internationally, will deliver the e-lecture: ?Digital Pathology: On the intersection of Computer Vision and Data Science?, on Tuesday 29th 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/event_cat/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/97112025406 & 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. Bernhard Sch?lkopf (ETH Z?rich, Switzerland): ?Symbolic, Statistical, and Causal Representations?, 13th July 2021 17:00 ? 18:00 CET. More lecture infos in: http://www.i-aida.org/event_cat/ai-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 calendarsites at insticc.org Thu Jun 24 07:09:19 2021 From: calendarsites at insticc.org (calendarsites at insticc.org) Date: Thu, 24 Jun 2021 12:09:19 +0100 Subject: Connectionists: [CFP]13th Int. Conf. on Fuzzy Computation Theory and Applications :: New Submission Deadline - July 2nd Message-ID: <003201d768e9$64cc7ab0$2e657010$@insticc.org> CALL FOR PAPERS 13th International Conference on Fuzzy Computation Theory and Applications New Regular/Position Paper Submission Deadline: July 02, 2021 http://www.fcta.ijcci.org/ October 25 - 27, 2021 Online Streaming In Cooperation with Spanish Association of Artificial Intelligence Association for the Advancement of Artificial Intelligence Associazione Italiana per l'Intelligenza Artificiale Fuzzy computation is a field that encompasses the theory and application of fuzzy sets and fuzzy logic to the solution of information processing, systems analysis and synthesis problems. Bolstered by information technology developments, the extraordinary growth of fuzzy computation in recent years has led to major applications in fields ranging from medical diagnosis and automated learning to image understanding, decision and systems control. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of fuzzy systems, both theoretically and in a broad range of application fields. Conference Chair(s) Juan Julian Merelo, University of Granada, Spain Kevin Warwick (honorary), University of Reading and Coventry University, United Kingdom Program Chair(s) Christian Wagner, University of Nottingham, United Kingdom Jonathan Garibaldi, University of Nottingham, United Kingdom With the presence of internationally distinguished keynote speakers: Susana Vieira, University of Lisbon, Portugal Joseph Rynkiewicz, Universit? de Paris 1 Panth?on-Sorbonne, France Carlos Coello, CINVESTAV-IPN, Mexico Barbara Hammer, Bielefeld University, Germany 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. 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 SCI 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 FCTA Secretariat Web: http://www.fcta.ijcci.org/ e-mail: fcta.secretariat at insticc.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From r.herzallah at aston.ac.uk Thu Jun 24 03:23:03 2021 From: r.herzallah at aston.ac.uk (Herzallah, Randa) Date: Thu, 24 Jun 2021 07:23:03 +0000 Subject: Connectionists: =?windows-1252?q?=5BInformation=5D_Invitation=3A_?= =?windows-1252?q?Special_Issue_on_=93Biomedical_Signal_Processing_and_Dat?= =?windows-1252?q?a_Analytics_in_Healthcare_Systems=94?= Message-ID: Dear colleagues, I am happy to invite you to contribute to the special Issue on "Biomedical Signal Processing and Data Analytics in Healthcare Systems" to be published in the journal Information (http://www.mdpi.com/journal/information/, ISSN 2078-2489), an EI, Scopus et al. indexed, open access journal. I would appreciate if you could share this invitation with your collaborators who may be interested in the subject. The manuscript submission deadline is 31 January 2022. This Special Issue on ?Biomedical Signal Processing and Data Analytics in Healthcare Systems?, aim to bring together original research and review articles researching the signal and pattern processing potential of extracting physiological parameters using traditional and modern advances in principled signal processing. Topics of interest include signal processing methods, machine learning, and intelligent methods to analyse biomedical signals, pattern processing, new measuring trends and analysis, and decision making. ? Analysis of biomedical signals and images ? Real-time decision making, prognosis, and diagnosis ? Statistical analysis, machine learning, and deep learning for biomedical signals ? Signal processing of data collected using noninvasive sensors ? Frequency and time-domain analysis of biomedical signals ? New classification, filtering, and visualization methods ? New advancements and applications of advanced and intelligent processing of biosignals for various applications ? New measuring trends and analysis ? Current and future trends in analyzing the most popular biosignals such as EEG, ECG, and EMG ? Uncertainty characterization and incorporation for more robust clinical decisions ? Differences between adult, infant, and neonate biomedical signals and image analysis. For more details, please visit the special issue website: https://www.mdpi.com/journal/information/special_issues/biomedical_signal_processing_data_analytics Kind regards, Randa ____________________________________________ Dr Randa Herzallah Systems Analytics Research Institute Aston University Aston Triangle Birmingham, B4 7ET UK tel: +44 121 204 3674 fax: +44 121 204 3685 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ahtan at smu.edu.sg Thu Jun 24 23:36:42 2021 From: ahtan at smu.edu.sg (TAN Ah Hwee) Date: Fri, 25 Jun 2021 03:36:42 +0000 Subject: Connectionists: Job: Multiple Research Positions And PhD Scholarships Available at School of Computing and Information Systems, Singapore Management University Message-ID: <4bfd76c1c2524dc99cd412fdad7067f9@smu.edu.sg> Dear Connectionists The Neural and Cognitive Computing group at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU) is looking to fill a number of fully funded research positions, including Postdoctoral Research Fellows, Research Associates/Engineers and Postgraduate Students. Members in the group have been working on computational principles and modelling of neural and cognitive functions, including perception, learning, memory, language, reasoning, decision making, and self-awareness. Our research is funded through competitive grants from multiple public agencies and industry sector, and we are running several externally funded projects, involving modelling and learning of domain knowledge from text documents, large scale simulation of adaptive Computer Generated Forces (CGF) and trustworthy federated learning etc. Successful candidate will join an active research team led by Ah-Hwee TAN, Zhaoxia WANG, and Budhitama SUBAGDJA. The group is part of the vibrant collaborative research network in Singapore and collaborates closely with Nanyang Technological University (NTU), Agency for Science, Technology and Research (A*STAR) and DSO National Laboratories. About the Postdoctoral Research Fellow position: The main responsibilities of the postdoctoral fellow position include: a) Research and development of computational models for multi-agent reinforcement learning and trustworthy federated Learning; b) Leading the design, development and evaluation of simulation prototypes; and c) Documentation, preparation of technical publications and reports Academic / Professional Qualifications . PhD degree in Computer Science, Cognitive Science, or closely related disciplines from a reputable institution of higher learning . Minimum 3-4 years of relevant research experience in artificial intelligence, cognitive science, or related fields. Knowledge / Skills / Competencies . Good analytical, technical and problem solving skills . Knowledge/Proficiency in programming languages, in particular Python and Java . Competency in application prototype design and development . Good writing, communication and interpersonal skills . Applicants with research publications in artificial intelligence and cognitive science areas will be advantageous About the Research Associate/Engineer position The main responsibilities of the research associate/engineer position include: a) Study, design, development and integration of computational models for knowledge representation, association and reasoning b) Responsible for the design and development of application prototype for demonstration c) Documentation, preparation of technical publications and reports Academic / Professional Qualifications . BSc/Master degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning . Minimum 1-2 years of relevant research experience in artificial intelligence, cognitive science, or related fields will be an advantage. Knowledge / Skills / Competencies . Good analytical, technical and problem solving skills . Knowledge/Proficiency in programming languages, in particular Python, Java and C/C++ . Competency in application prototype design and development . Good writing, communication and interpersonal skills . Applicants with research publications in artificial intelligence and cognitive science areas will be advantageous The appointment will typically be for one year initially and renewable for multiple years. The salary and benefits provided will be highly competitive and commensurate with the candidate's profile and experience. We also welcome candidates who are keen to pursue a PhD in the field of AI, machine learning, neural networks, and cognitive computing. Fully funded scholarships with stipends are available. Visiting students and researchers are also encouraged to contact us to discuss opportunities. Interested candidate please send a cover letter and CV with email addresses of three referees to ahtan at smu.edu.sg . Your email should have the subject heading of "Application for Research Position" or "Application for Postgraduate Study". We are looking to fill the positions as early as possible. Reviews of applications will begin immediately and continue until all positions are filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4925 bytes Desc: not available URL: From marcin at amu.edu.pl Thu Jun 24 15:56:02 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Thu, 24 Jun 2021 21:56:02 +0200 Subject: Connectionists: Call for Contributions -- Young Researchers Workshop on Artificial Intelligence and Cybersecurity -- deadline July 16th, 2021 -- part of CORE B ranked conference In-Reply-To: <51100ae9-2f31-7f79-274c-622917fadc0a@ibspan.waw.pl> References: <51100ae9-2f31-7f79-274c-622917fadc0a@ibspan.waw.pl> Message-ID: <6f546fa0-60b8-59fd-6571-b5293731ac98@amu.edu.pl> Young Researchers Workshop on Artificial Intelligence and Cybersecurity (YRW?2021) Online, 2-5 September, 2021 FedCSIS is ranked B in CORE2021 ranking FedCSIS IEEE conference number: #52320 Strict submission deadline: July 16th, 2021, 23:59 UCT (no extensions) www.fedcsis.org ******************** 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. ************************************************************** Workshop is intended for young researchers only ? Engineering or MSc students ? who intend to design computer systems, in the domains of, broadly understood, Artificial Intelligence or Cybersecurity. The presentations are aimed to be practical-application-oriented ? and should consist of a short theoretical introduction, accompanied by a demonstration of a system prototype. The acceptance of the participants will be based on the short description of ideas that are going to be presented/discussed, submitted by July 16th 2021 (UTC+12). The length of the description should be between 500 and 800 words long (Extended Abstract of about 2 pages). It should be formatted according to the instructions for the authors, found at the For Authors page within the FedCSIS conference portal. Presentations will be divided into topical sessions. Awards will be given to the most valuable presentation in each session. Selected presentations will be shown (in a shortened version) to the general audience of the FedCSIS conference. TOPICS: Invited are proposals covering industrial applications and academic research that include, but are not limited to the following topics: Artificial Intelligence ? Natural Language Processing ? Language Models ? Machine Translation ? Computer Vision ? Data Mining and Knowledge Discovery ? Neural Networks and Deep Learning ? Reinforcement Learning ? Web Mining and Social Networks ? Evolutionary Algorithms and Evolutionary Computation Cybersecurity ? Cryptography and cryptanalysis ? Digital right management and data protection ? Threats and countermeasures for cyber crimes ? Cyber and physical security infrastructures ? Steganography and watermarking ? Digital forensics and crime science ? Misuse and intrusion detection ? Cloud and big data security ? Computer network security PAPER SUBMISSION: ? Authors should submit extended abctracts (as Postscript, PDF or MSWord file). ? The total length of an extended abstract should not exceed 2 pages IEEE style. IEEE style templates are available at the For Authors page. ? Contributions will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. ? Extended abstracts of accepted presentations will be published (with ISBN, ISSN and DOI numbers) in a volume of Annals of Computer Science and Information Systems (ACSIS) series. The volume will be entitled ?Communications of FedCSIS 2021". They will not be submitted to theIEEE Xplore DL. This means that they will not be submitted to indexing in Web of Science, but will be submitted to all remaining indexing services. Current indexation information for ACSIS is available at the ACSIS WWW site. IMPORTANT DATES: Extended abstract submission (sharp): July 16th, 2021 Author notification: July 26, 2021 Final submission, registration: July 30, 2021 Payment: August 19, 2021 Conference date: September 2-5, 2021 COMMITTEE: Technical Session Chair ? Jassem, Krzysztof, Adam Mickiewicz University, Pozna?, Poland Deputy Chair ? Pi?ka, Tomasz, Adam Mickiewicz University, Pozna?, Poland CONTACT: Tomasz Pi?ka (AMU) ABOUT FedCSIS Conference Series: FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and information systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions focused on their scientific and professional interests in computer science and information systems. -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From jiangdm at nwpu.edu.cn Fri Jun 25 03:39:26 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Fri, 25 Jun 2021 15:39:26 +0800 (GMT+08:00) Subject: Connectionists: ACM ICMI 2021: Call for Doctoral Consortium Calls Message-ID: <5db2c401.b3e6.17a421bf469.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: Please describe your PhD research plan and progress as a seven-page paper in a single column format. The instructions and templates are on the following link: https://www.acm.org/publications/taps/word-template-workflow. 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, 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 george at cs.ucy.ac.cy Sun Jun 27 06:17:47 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sun, 27 Jun 2021 13:17:47 +0300 Subject: Connectionists: First International Conference on ICT for Health, Accessibility and Wellbeing (IHAW 2021): Last Call for Papers Message-ID: *** Last 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 Session on AAL, see below; 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. Special Session on Active Assisted Living (AAL) Do you do research or commercial work in the active and healthy ageing area and you want to participate in the discussion driving the future of healthy ageing? Do you have a funded project in the AAL programme and would like to present the results of the project? Then the Special Session on AAL is the perfect opportunity for you to be involved in an ecosystem that promotes active and healthy ageing. This special session at the IHAW 2021 conference aims to bring together the community of healthy ageing to present their results and to discuss the existing opportunities in health technology and reflect on the future of ageing well in the digital world. You will be presented with the opportunity to meet and discuss with several stakeholders from universities, industry, regional and national authorities, private companies working with older adults and many more. You can use the opportunity to showcase the best practices and find solutions to challenges through presentations, discussions, workshops and networking. The Special Session on AAL is the ideal meeting place for presenting the results from cutting-edge, funded AAL projects, as well as independent research or commercial work in the active and healthy ageing area, performed from: ? Universities and research institutions ? End-user organisations and companies working with older adults ? Industry professionals involved in the technology sector with an interest in active and healthy ageing ? Health care and social care providers ? Individuals and organisations implicated in the AAL funded projects The goal of this Special Session is to engage researchers and all relevant stakeholders of the healthy ageing value chain into networking and discussions to present their experiences and provide answers and solutions to problems and issues faced by older adults. This community is of great importance since it drives and aims to achieve better conditions and a healthier and improved society for the future of older adults. The proactive involvement of the community in conceptualising, designing and developing cost-effective systems that offer services to serve our ageing society, as well as the presentation of the solutions and discussion and exchange of ideas in this special session aims to drive and cultivate innovative thinkers, creative people and change makers in the area of active and healthy ageing. Please follow the submission guidelines and important dates as they are stated below and make sure that under the abstract of your submitted paper there is the statement: "Submitted to the Special Session on AAL". Accepted papers will be published by Springer in the CCIS Series. 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: July 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 and Special Session 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 angela.j.langdon at gmail.com Fri Jun 25 15:00:30 2021 From: angela.j.langdon at gmail.com (Angela Langdon) Date: Fri, 25 Jun 2021 15:00:30 -0400 Subject: Connectionists: Open postdoctoral position in Niv lab at Princeton University Message-ID: <90EEC3EA-F8AC-4D23-92A3-4075346B13C8@gmail.com> The lab of Dr Yael Niv in the Princeton Neuroscience Institute and Department of Psychology at Princeton University is looking for a talented and motivated postdoctoral researcher to join our team to study the neural mechanisms of reward prediction and learning in animals. This position is to work primarily with Dr Angela Langdon on a NIDA-funded project modeling behavior and neural recording data from rodents in a reward learning task (start date: as soon as possible). The ideal candidate will 1) have experience in computational or theoretical modeling, such as reinforcement learning, Bayesian inference, machine learning and/or neural circuit modeling; 2) be excited about mapping theories of learning and decision making onto behavior and its neural basis; 3) be keen to work in a collaborative and interdisciplinary scientific environment. More broadly, members of the lab study the behavioral and neural computations that support learning and decision making, and their interaction with attention and memory mechanisms. Our research spans a diverse set of theoretical tools from reinforcement learning, Bayesian inference and machine learning alongside various empirical techniques, including targeted behavioral experiments, eye tracking and fMRI. In addition, we work closely with our collaborators on model-guided analysis of animal behavior and neural activity across a number of learning paradigms ? the current position is for a project in this domain, working with existing neural and behavioral data from rodents. We have a particular interest in research that can shed light on the changes to learning and decision making that are prevalent in a range of clinical disorders. The Princeton Neuroscience Institute and the Psychology Department at Princeton are highly interdisciplinary and collaborative, and provide excellent support for career development. You will be joining a vibrant and international research group, and will have opportunities to interact with and learn from a large number of researchers in cognitive and computational neuroscience. To apply, send your CV and statement of research interests to Yael Niv: yael at princeton.edu and Angela Langdon: alangdon at princeton.edu . -------------- next part -------------- An HTML attachment was scrubbed... URL: From zapotocky at biomed.cas.cz Sun Jun 27 19:20:49 2021 From: zapotocky at biomed.cas.cz (Martin Zapotocky) Date: Mon, 28 Jun 2021 01:20:49 +0200 Subject: Connectionists: Program and preliminary schedule for CNS*2021 Online Message-ID: <320c8817-67ec-554e-4639-da6cb3905b7b@biomed.cas.cz> **Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA*** Program and preliminary schedule available for 30th Annual Computational Neuroscience Meeting (CNS*2021 Online, **July 3-7)***** The program of the CNS*2021 Meeting can now be viewed at https://www.cnsorg.org/cns-2021-calendar Please note that this year, the main days of the meeting (*July 3-7*) are preceded by software tutorials on *J**une 28-29*, and satellite tutorials on *June 30 - July 2*. For registration information, please visit https://www.cnsorg.org/cns-2021-registration-fees Following registration, the attendees can use the conference Sched page to access detailed information for each session and to assemble a personalized schedule. Instructions are sent upon registration. Please follow the Sched page for up-to-date information on the event schedule. -------------------------------------------------------------------------------------------- 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: https://www.cnsorg.org -------------------------------------------------------------------------------------------- ------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From belizugur at gmail.com Sun Jun 27 16:17:54 2021 From: belizugur at gmail.com (Beliz Ugurhan Gokkaya) Date: Sun, 27 Jun 2021 13:17:54 -0700 Subject: Connectionists: Call for Participation for the 2nd WiML Un-Workshop co-located with ICML In-Reply-To: References: Message-ID: Dear colleagues, We invite you to participate at the 2nd WiML Un-Workshop , co-located with ICML on Wednesday, July 21st, 2021. Deadline for submission is* July 4th, 2021*. Read the full CFP here . Application form is available here . Students, postdocs & researchers in all areas of #ML who primarily identify as woman and/or nonbinary are encouraged to submit a proposal (1 page PDF) to lead a breakout session on a certain research topic. Please note that proposal and poster submissions are open now! To find other participants to submit a breakout session proposal with as co-leaders/facilitators, use this . WiML registration fee funding is prioritized for accepted breakout session leaders who fulfill certain eligibility criteria (see CFP file) and do not have any other sources of funding. While breakout session leaders and poster presenters will identify primarily as woman and/or nonbinary, all genders are invited to attend. If you only wish to attend, we still recommend you still fill in the application form to provide your timezone and topic preferences. The form does not constitute registration for the WiML Un-Workshop. To attend the un-workshop, you need to register for ICML at https://icml.cc . We look forward to seeing you! *Organizers* Beliz Gokkaya (Facebook) Wenshuo Guo (University of California, Berkeley) Hadia Mohmmed Osman Ahmed Samil (Mila) Vaidheeswaran Archana (Continental Automotive) Liyue Shen (Stanford University) Berivan Isik (Stanford University) Olivia Choudhury (Amazon) Arushi Majha (University of Cambridge) -------------- next part -------------- An HTML attachment was scrubbed... URL: From sen.cheng at rub.de Mon Jun 28 02:56:39 2021 From: sen.cheng at rub.de (Sen Cheng) Date: Mon, 28 Jun 2021 08:56:39 +0200 Subject: Connectionists: Tenure-Track Position in Neural Data Science Message-ID: Ruhr-Universit?t Bochum (RUB) is one of Germany?s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB?s declared aim. The Institute for Neural Computation is hiring a W2 professor for initially five years (with Tenure-Track to W2) in Neural Data Science to start on 1st April 2022. The successful candidate will represent the field of Neural Data Science in education and research. A research focus on the application of modern machine learning methods in the analysis of imaging and/or electrophysiological data as well as in modelling of the neural basis of cognitive processes is desirable. Teaching is expected in the degree programs Bachelor and Master of Applied Computer Science as well as the international Master in Cognitive Science. Evidence of superior qualification for excellent research, acquisition of third-party funding, academic teaching, interdisciplinary collaborations and the contribution to academic self-administration are required. The professorship is part of an initiative for the interdisciplinary integration of research in cognitive neuroscience at Ruhr-Universit?t Bochum and Universit?t Duisburg-Essen. The prerequisites for employment are: a completed university degree; a positively evaluated junior professorship, habilitation or equivalent achievements; an aptitude for scientific research with a track record of excellent publications; as well as teaching skills. Experience in acquiring and leading third-party funded research projects as primary principal investigator, interdisciplinary collaborations as well as international networking are expected. Applications with all relevant documents (academic CV; transcripts; proof of aptitude for academic teaching, preferably with evaluation results; list of publications; list of acquired third-party funding with respective grant number) should be submitted electronically by 01.08.2021 to the Managing Director, Prof. Dr. Gregor Sch?ner (gregor.schoener at ini.rub.de), Institute for Neural Computation, Ruhr-Universit?t Bochum. Subject-specific questions relating to the position can be directed to Professor Dr. Sen Cheng ( sen.cheng at rub.de). At RUB, we are committed to promote the careers of women and people of color in the areas in which they are underrepresented. We therefore encourage and welcome relevant applications as well as those from non-binary or gender-queer applicants. Applications from persons with disabilities or equal status are very welcome. Ruhr-Universit?t Bochum is an equal opportunities employer. Information on the collection of personal data at the application process: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process . --- Prof. Dr. Sen Cheng Ruhr-Universit?t Bochum Institut f?r Neuroinformatik Universit?tsstr. 150 Postfach 110 44801 Bochum B?ro: NB 3/33 | +49-234- 32 29486 | FAX: +49-234- 32 14210 sen.cheng at rub.de | rub.de/cns | for2812.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From jenny.benois-pineau at u-bordeaux.fr Mon Jun 28 03:22:06 2021 From: jenny.benois-pineau at u-bordeaux.fr (jbenoisp) Date: Mon, 28 Jun 2021 09:22:06 +0200 Subject: Connectionists: Call for Special sessions ICPRAI'2022 Paris, June 1-3 2022 References: Message-ID: <2E957630-CC55-4D1E-850B-98998FED7C66@u-bordeaux.fr> > Dear Colleagues, > > We apologize if you have received this call several times > Call for Special sessions ICPRAI?2022 Paris > > https://icprai2022.sciencesconf.org/ > > June 1st to 3rd, 2022 > ICPRAI 2022 is seeking innovative, high-quality and potentially interdisciplinary proposals for Special Sessions (SS) that complement the regular program of the conference. > > We consider two major opportunities: > > SS focused on theory of Pattern Recognition and Artificial Intelligence: proofs, new algorithms and models? > SS focused on application area, e.g. cultural heritage, medical applications, remote sensing, etc. > Number of expected papers per SS: 5 > > Submission procedure > > Reasearchers willing to submit a proposal for a special session should provide a proposition in a single pdf file. The submission file should be prepared using the following?template and should contain the following information: > > A title for the Special Session and the names of the organizers; > Brief biographies of the session organizer(s) and their contact information; > Brief description of the theme and importance of the Session, number of submissions expected (1 page); > Proposal of particular PC committee (name, country, institution/research lab); > List of potential contributors and topics of interest. > Proposals should be sent directly by email to the Special Session Chairs: jenny.benois-pineau at u-bordeaux.fr and rdl at ufpe.br > The SS propositions will be evaluated based on the timeliness of the topic as well as the qualifications of the organizers, the authors of the expected papers and the chosen PC committee. > > Guideline for accepted special sessions > > Upon acceptance of the special session proposal, the contributed papers will be submitted in the same format as regular papers (see Author guidelines ). Organizers should not contribute more than two papers. The papers for special sessions will be managed as special tracks in our easychair CMS. Session organizers will have to invite their own Program Committees and to manage the reviewing process. Each paper will have to be reviewed by 3 reviewers chosen among the specific program committee. The special session chairs with the general program chairs will use these reviews to determine which papers will be accepted for presentation in the conference. > > Important dates > > Proposal of SS: September 1st, 2021 > Notification of acceptance for SSs: September 15th, 2021 > Deadline for paper submissions: December 15th, 2021 > We are looking forward to your participation! > > For any question, please contact the Special Session Chairs: jenny.benois-pineau at u-bordeaux.fr and rdl at ufpe.br > Jenny Benois-Pineau, Raphael Lins > Special Session Chairs > > Jenny Benois-Pineau, > Professeure en Informatique, > Charg?e de mission aux relations Internationales > Coll?ge Sciences et Technologies, > Universit? de Bordeaux > 351, crs de la Lib?ration > 33405 Talence > France > tel.: +33 (0) 5 40 00 84 24 > > Jenny Benois-Pineau, PhD, HDR, > Professor of Computer Science, > Chair of International relations > School of Sciences and Technologies > University of Bordeaux > 351, crs de la Lib?ration > 33405 Talence > tel.: +33 (0) 5 40 00 84 24 > -------------- next part -------------- An HTML attachment was scrubbed... URL: From benabbessarra at gmail.com Mon Jun 28 04:03:33 2021 From: benabbessarra at gmail.com (=?UTF-8?Q?Sarra_Ben_Abb=C3=A8s?=) Date: Mon, 28 Jun 2021 10:03:33 +0200 Subject: Connectionists: [CFP] DEADLINE EXTENSION for 1st International Workshop on Ontology Uses and Contribution to Artificial Intelligence @ KR-2021 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 *July 19, 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 - Philippe Leray, Professor at University of Nantes - Stefan FENZ, key researcher at SBA Research and Senior Scientist at Vienna University of Technology - Olivier Dameron, Professor at Universit? de Rennes I, Dyliss team, Irisa / Inria Rennes-Bretagne Atlantique - Aar?n Ayll?n Benitez, Phd in bioinformatique, ontology leader at BASF digital solutions - Fran?ois Scharffe, Researcher on Knowledge based AI, New York, United States - Maxime Lefran?ois, Associate Professor at Saint Etienne University, France - Pierre Maret, The QA Company & Saint Etienne University, France **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 marwen.belkaid at iit.it Mon Jun 28 05:38:33 2021 From: marwen.belkaid at iit.it (marwen Belkaid) Date: Mon, 28 Jun 2021 11:38:33 +0200 Subject: Connectionists: =?utf-8?q?*Deadline_extended*_Call_for_abstracts_?= =?utf-8?q?-_IROS_2021_workshop_=22Human-like_Behavior_and_Cognition_in_Ro?= =?utf-8?b?Ym90c+KAnQ==?= Message-ID: <97a2ecd1-eced-99eb-6564-0ef1025ae141@iit.it> *DEADLINE EXTENSION* We are happy to announce that the deadline for abstract submissions has been extended. The new deadline to submit contributions to the HBCR workshop is *_15 July_*. *Call for Contributions* Human-like Behavior and Cognition in Robots Workshop at IROS 2021 ? October 1st, 2021 Website: https://sites.google.com/view/hbcr-workshop-2021 ***Workshop objectives*** Building robots capable of behaving in a human-like manner is a long-term goal in robotics. It is becoming even more crucial with the growing number of applications in which robots are brought closer to humans, not only trained experts, but also inexperienced users, children, the elderly, or clinical populations. Current research from different disciplines contributes to this general endeavor in various ways: * by creating robots that mimic specific aspects of human behavior, * by designing brain-inspired cognitive architectures for robots, * by implementing embodied neural models driving robots? behavior, * by reproducing human motion dynamics on robots, * by investigating how humans perceive and interact with robots, dependent on the degree of the robots? human-likeness. This workshop aims to bring together scholars from the areas of research that are involved in such endeavor (e.g., robotics, artificial intelligence, human-robot interaction, computational modeling of human cognition and behavior, psychology, cognitive neuroscience). It is conceived as a forum to encourage discussions about recent advances and future challenges related to the following questions: * How to design robots with human-like behavior and cognition? * What are the best methods for examining human-like behavior and cognition? * What are the best approaches for implementing human-like behavior and cognition in robots? * How to manipulate, control and measure robots? degree of human-likeness? * Is autonomy a prerequisite for human-likeness? * How to best measure human reception of human-likeness of robots? * What is the link between perceived human-likeness and social attunement in human-robot interaction? * How can such human-like robots inform and enable human-centered research? * How can modeling human-like behavior in robots inform us about human cognition? * In what contexts and applications do we need human-like behavior or cognition? And in what contexts it is not necessary? *Workshop format * Like the main IROS 2021 conference, the HBCR workshop will be held fully online. The event will include the following: 1. Invited and contributed talks: pre-recorded videos with Q&A Slack 2. Panel discussion: 2-hour live session on the IROS 2021 platform 3. Open discussion: 2-hour informal social session on Zoom *Organizers* * Marwen Belkaid (Istituto Italiano di Tecnologia, Italy) * Giorgio Metta (Istituto Italiano di Tecnologia, Italy) * Tony Prescott (Univ. of Sheffield, United Kingdom) * Agnieszka Wykowska (Istituto Italiano di Tecnologia, Italy) *Invited Speakers*** * Aude Billard (?cole Polytech. F?d?rale de Lausanne, Switzerland) * Yiannis Demiris (Imperial College London, United Kingdom) * Serena Ivaldi (Inria, France) * Mehdi Khamassi (Sorbonne Universit?-CNRS, France) * Ana Paiva (Univ. de Lisboa, Portugal) * Tony Prescott (Univ. of Sheffield, United Kingdom) * Agnieszka Wykowska / Marwen Belkaid (Istituto Italiano di Tecnologia, Italy) *Call for contributions* We invite participants to submit extended abstracts about their research related to the topics of the workshop. We welcome submissions about novel results, work in progress, literature review, perspectives/opinions. The goal of the workshop is to provide a forum for interdisciplinary discussion and a unique opportunity for a fruitful and in-depth exchange of ideas between early-career and advanced-career researchers. Submitted abstracts must follow the IROS template (1 page max., approx. 300-600 words, including references). Submissions should be sent to: marwen.belkaid at iit.it Among the accepted submissions, 3 best contributions will be awarded with the Springer-sponsored award. The award consists of: 1. 1-year free access to the International Journal of Social Robotics (IJSR), Springer, 2. book prize in the form of a 150 ? voucher that the recipient will be able to use to receive the book(s) of their choice in the broad selection of books from the publisher. In addition, all authors of accepted contributions will be invited to submit an extended version of their abstracts to the Special issue that we are organizing in the International Journal of Social Robotics. Acceptance of extended abstracts to the workshop is a prerequisite, but does not guarantee acceptance for publication in the Special issue. *Important dates* * Deadline for abstract submission: 25 June 2021 15 July 2021 * Decision notification for abstracts: 26 July 2021 * Workshop: 1 October 2021 * Deadline for Special issue submission: 15 November 2021 * Decision notification for Special issue (tentative): 5 January 2022 -- Dr Marwen BELKAID Istituto Italiano di Tecnologia Center for Human Technologies Via Enrico Melen, 83 16152 Genoa, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From robert.mcdougal at yale.edu Mon Jun 28 15:12:55 2021 From: robert.mcdougal at yale.edu (McDougal, Robert) Date: Mon, 28 Jun 2021 19:12:55 +0000 Subject: Connectionists: Tutorial on NEURON and NetPyNE at CNS*2021 Message-ID: <74BF76E9-4166-416B-8A10-3DA69A9F56D2@yale.edu> (Apologies for cross-posts.) Interested in learning how to build biophysically detailed neuronal models with NEURON and NetPyNE? Join us for a tutorial at CNS*2021 on Saturday, July 3rd starting at 10am EDT: Time (New York City / EDT) Presenter Subject 10:00 - 10:30 Bill Lytton Overview: implementing the conceptual model 10:30 - 11:50 Robert McDougal NEURON scripting basics 11:50 - 12:00 coffee break 12:00 - 1:00 Adam Newton Reaction-Diffusion 1:00 - 1:30 lunch break 1:30 - 2:50 Salvador Dura-Bernal NetPyNE GUI-based tutorials 2:50 - 3:00 coffee break 3:00 - 4:00 Salvador Dura-Bernal NetPyNE programming tutorial For more information, see: https://neuron.yale.edu/neuron/courses/2021-cns-neuron-netpyne-tutorial Register for CNS*2021 to attend; see https://www.cnsorg.org/cns-2021-registration-fees -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.dorrn at fz-juelich.de Mon Jun 28 09:43:43 2021 From: a.dorrn at fz-juelich.de (Anja Dorrn) Date: Mon, 28 Jun 2021 15:43:43 +0200 Subject: Connectionists: Bernstein Conference 2021 - Deadline for Contributed Talks extended until July 7 Message-ID: <8a02d37b-7f2c-c39a-84f2-9c7d0efba18e@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 & NEWS * Bernstein Conference: September 21-23, 2021 * Abstract submission open: * Deadline for submission of abstracts to be considered for Contributed Talks: extended to July 7, 2021, 1 pm CEST * Deadline for abstract submission: August 3, 2021 * Selected Satellite Workshops are now online * Registration will open soon and be free of charge ____ 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 is open. 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, Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon Jun 28 09:23:02 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 28 Jun 2021 09:23:02 -0400 Subject: Connectionists: CfP ISWC 2021 - Call for Posters, Demos and Lightning Talks *one week left* In-Reply-To: References: Message-ID: 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org 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 jschwab at uni-osnabrueck.de Tue Jun 29 02:24:50 2021 From: jschwab at uni-osnabrueck.de (Juliane Schwab) Date: Tue, 29 Jun 2021 08:24:50 +0200 Subject: Connectionists: [CFP] 2nd call for abstracts (+deadline extended to July 16th): Computational Cognition workshop (COMCO 2021) Message-ID: <66860604-32f5-279a-d48b-d9b468061b9a@uni-osnabrueck.de> An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Mon Jun 28 13:17:32 2021 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Mon, 28 Jun 2021 19:17:32 +0200 Subject: Connectionists: PhD position with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany Message-ID: <20210628171732.GN21590@curry> The Ruhr-Universit?t Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. One particular strength of RUB is interdisciplinary research in Machine Learning and Artificial Intelligence, see https://ml-ai.rub.de/. The Institute for Neural Computation is a central research institute, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a research assistant / Phd-student in the group ?Theory of Neural Systems? of Prof. Dr. Laurenz Wiskott to be filled at 15th of September. The appointment will be for three years. Salary is 75% of salary scale TV-L E13. Task: ? Develop a cognitive system that learns to behave reasonably in new situations based on few episodic experiences. Central to the system shall be an episodic and a semantic memory. The application domain will be navigation. The candidate is free to put the focus on machine learning techniques or on the modeling of natural cognition. We offer: ? An interesting interdisciplinary environment in the field of Machine Learning / Artificial Intelligence / Computational Neuroscience. ? Room to develop your own ideas in the project. ? Infrastructure to integrate well into the institute and the group. ? Opportunity to do a PhD (Dr). Requirements: ? Very good Master in mathematics, computer science, engineering, or a related field. ? Good programming and mathematical skills. ? Interest in interdisciplinary research questions and cooperations. Advantageous: ? Experience in Machine Learning and/or Computational Neuroscience. ? Good communication and teamwork skills. ? Experience in interdisciplinary projects. ? Programming skills in Python. Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott at rub.de. Travel expenses for interviews will not be refunded. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged. From pubconference at gmail.com Mon Jun 28 20:58:48 2021 From: pubconference at gmail.com (Pub Conference) Date: Mon, 28 Jun 2021 20:58:48 -0400 Subject: Connectionists: Neural Computing and Applications (NCAA) Special Issue on Interpretation of Deep Learning Message-ID: *Neural Computing and Applications (NCAA) Special Issue **on Interpretation of Deep Learning: Prediction, Representation, Modeling and Utilization* https://www.springer.com/journal/521/updates/19187658 Aims, Scope and Objective While Big Data offers the great potential for revolutionizing all aspects of our society, harvesting of valuable knowledge from Big Data is an extremely challenging task. The large scale and rapidly growing information hidden in the unprecedented volumes of non-traditional data requires the development of decision-making algorithms. Recent successes in machine learning, particularly deep learning, has led to breakthroughs in real-world applications such as autonomous driving, healthcare, cybersecurity, speech and image recognition, personalized news feeds, and financial markets. While these models may provide the state-of-the-art and impressive prediction accuracies, they usually offer little insight into the inner workings of the model and how a decision is made. The decision-makers cannot obtain human-intelligible explanations for the decisions of models, which impede the applications in mission-critical areas. This situation is even severely worse in complex data analytics. It is, therefore, imperative to develop explainable computation intelligent learning models with excellent predictive accuracy to provide safe, reliable, and scientific basis for determination. Numerous recent works have presented various endeavors on this issue but left many important questions unresolved. The first challenging problem is how to construct self-explanatory models or how to improve the explicit understanding and explainability of a model without the loss of accuracy. In addition, high dimensional or ultra-high dimensional data are common in large and complex data analytics. In these cases, the construction of interpretable model becomes quite difficult and complex. Further, how to evaluate and quantify the explainability of a model is lack of consistent and clear description. Moreover, auditable, repeatable, and reliable process of the computational models is crucial to decision-makers. For example, decision-makers need explicit explanation and analysis of the intermediate features produced in a model, thus the interpretation of intermediate processes is requisite. Subsequently, the problem of efficient optimization exists in explainable computational intelligent models. These raise many essential issues on how to develop explainable data analytics in computational intelligence. This Topical Collection aims to bring together original research articles and review articles that will present the latest theoretical and technical advancements of machine and deep learning models. We hope that this Topical Collection will: 1) improve the understanding and explainability of machine learning and deep neural networks; 2) enhance the mathematical foundation of deep neural networks; and 3) increase the computational efficiency and stability of the machine and deep learning training process with new algorithms that will scale. Potential topics include but are not limited to the following: - Interpretability of deep learning models - Quantifying or visualizing the interpretability of deep neural networks - Neural networks, fuzzy logic, and evolutionary based interpretable control systems - Supervised, unsupervised, and reinforcement learning - Extracting understanding from large-scale and heterogeneous data - Dimensionality reduction of large scale and complex data and sparse modeling - Stability improvement of deep neural network optimization - Optimization methods for deep learning - Privacy preserving machine learning (e.g., federated machine learning, learning over encrypted data) - Novel deep learning approaches in the applications of image/signal processing, business intelligence, games, healthcare, bioinformatics, and security Guest Editors Nian Zhang (Lead Guest Editor), University of the District of Columbia, Washington, DC, USA, nzhang at udc.edu Jian Wang, China University of Petroleum (East China), Qingdao, China, wangjiannl at upc.edu.cn Leszek Rutkowski, Czestochowa University of Technology, Poland, leszek.rutkowski at pcz.pl Important Dates Deadline for Submissions: March 31, 2022 First Review Decision: May 31, 2022 Revisions Due: June 30, 2022 Deadline for 2nd Review: July 31, 2022 Final Decisions: August 31, 2022 Final Manuscript: September 30, 2022 Peer Review Process All the papers will go through peer review, and will be reviewed by at least three reviewers. A thorough check will be completed, and the guest editors will check any significant similarity between the manuscript under consideration and any published paper or submitted manuscripts of which they are aware. In such case, the article will be directly rejected without proceeding further. Guest editors will make all reasonable effort to receive the reviewer?s comments and recommendation on time. The submitted papers must provide original research that has not been published nor currently under review by other venues. Previously published conference papers should be clearly identified by the authors at the submission stage and an explanation should be provided about how such papers have been extended to be considered for this special issue (with at least 30% difference from the original works). Submission Guidelines Paper submissions for the special issue should strictly follow the submission format and guidelines ( https://www.springer.com/journal/521/submission-guidelines). Each manuscript should not exceed 16 pages in length (inclusive of figures and tables). Manuscripts must be submitted to the journal online system at https://www.editorialmanager.com/ncaa/default.aspx. Authors should select ?TC: Interpretation of Deep Learning? during the submission step ?Additional Information?. -------------- next part -------------- An HTML attachment was scrubbed... URL: From el-ghazali.talbi at univ-lille.fr Tue Jun 29 06:27:34 2021 From: el-ghazali.talbi at univ-lille.fr (El-ghazali Talbi) Date: Tue, 29 Jun 2021 12:27:34 +0200 Subject: Connectionists: Phd opprtunities @University of Lille and INRIA Message-ID: <7067b024-b6c8-e43a-b7f7-4160d3926fff@univ-lille.fr> *** Re-Posting - Please help distribute it to interested once **** 2 PhD Opportunity in optimization, metaheuristics and deep learning - Deadline July 30, 2021 1. "Multi-criteria design and optimization of deep learning models: Application to embedded systems". Collaboration with IRT-SystemX Paris Saclay. See the linkhttps://www.irt-systemx.fr/recrutement/multi-criteria-automated-design-and-optimization-of-deep-neural-networks/ for more details. 2. "Optimization of deep learning models for spacio-temporel prediction", Collaboration with EDF Paris Saclay. contact: Prof. El-Ghazali TALBI, e-mail:el-ghazali.talbi at univ-lille.fr -- ********************************************************************** META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021, Marrakech, Morocco http://meta2021.sciencesconf.org *********************************************************************** ********************************************************************** OLA'2022 International Conference on Optimization and Learning July 2022, Sicilia, Italy *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandro.dausilio at gmail.com Tue Jun 29 05:10:18 2021 From: alessandro.dausilio at gmail.com (Alessandro D'Ausilio) Date: Tue, 29 Jun 2021 11:10:18 +0200 Subject: Connectionists: [JOBS] PhD @ Italian Institute of Technology, Ferrara Message-ID: <5CE020CB-8A69-49F2-AC8D-8781CD6F74DD@gmail.com> PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), is opening 3 PhD positions starting in November 1st, 2021. Research areas: - Improving performance and biocompatibility of electrode arrays for brain-computer interfaces - Organic neuroelectronics for multimodal recordings and stimulation of the brain in vivo - Hardware and software development for innovative exploration of brain signals - Machine learning applications to multimodal brain and speech signals - Investigation of sensorimotor functions in animal models - Cortical recordings in human patients during awake Neurosurgery - Human non-invasive neurophysiology of speech and sensorimotor communication Who: chemists, physicists, materials scientists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists eager to work in an international and multidisciplinary team. Where: The CTNSC (https://www.iit.it/it/ctnsc-unife ) is hosted by the University of Ferrara (UNIFE) in a prestigious historical building in the city center. Ferrara is a well connected renaissance city (30-min to Bologna, 40-min to Padua, 60-min to Venice; 2 nearby international airports), bustling with students (https://whc.unesco.org/en/list/733 ). General INFO: http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience Application INFO: http://www.unife.it/studenti/dottorato/concorsi/selection DEADLINE: July 23rd, 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1451 bytes Desc: not available URL: From massimo.srt at gmail.com Tue Jun 29 07:27:27 2021 From: massimo.srt at gmail.com (Massimo Sartori) Date: Tue, 29 Jun 2021 13:27:27 +0200 Subject: Connectionists: [Job] Software developer for biomechanics and biorobotics Message-ID: Are you seeking challenging projects at the edge of what is technically possible? Are you interested in joining an open-source software initiative aimed at improving human movement and health? Do you want to oversee the software management and working process of an R&D Lab? The Department of Biomechanical Engineering, Faculty of Engineering Technology, at the University of Twente is seeking for a creative and motivated software developer as part of the ERC Project INTERACT. Within INTERACT we develop advanced physics-based modelling software to simulate how humans move (e.g., how our brain controls our muscles to create different movements) and to control wearable robots (e.g., bionic limbs and exoskeletons). We use specialized and advanced measurement setups, some of which we even develop and integrate ourselves. We are a rapidly growing Department. You will become one of the architects of a large-scale software framework to model and simulate human movement (and injury) assisted by advanced wearable robots, such as bionic prostheses and exoskeletons. You will also manage the working process and organization of the Neuromechanics Lab. Our department currently employs more than 70 people, including scientists, teachers and technicians, of different nationalities. You will be part of a team of R&D Engineering Technicians who complement each other. Many of our R&D projects are in collaboration with other research institutions and companies from the Netherlands and abroad. Please, apply from the link below by *July 4th, 2021*: https://www.utwente.nl/en/organisation/careers/!/2021-410/software-ict-developer-for-biomechanics-and-bio-robotics *University of Twente (UT)* has entered the new decade with an ambitious, new vision, mission and strategy. As ?the ultimate people-first university of technology' we are rapidly expanding on our High Tech Human Touch philosophy and the unique role it affords us in society. Everything we do is aimed at maximum impact on people, society and connections through the sustainable utilisation of science and technology. We want to contribute to the development of a fair, digital and sustainable society through our open, inclusive and entrepreneurial attitude. This attitude permeates everything we do and is present in every one of UT's departments and faculties. Building on our rich legacy in merging technical and social sciences, we focus on five distinguishing research domains: Improving healthcare by personalised technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world. As an employer, the University of Twente offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With us, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customisable conditions. --- Massimo Sartori, Ph.D. Associate Professor Director, Neuromechanical Modeling & Engineering Lab University of Twente TechMed Centre Department of Biomechanical Engineering 7500 AE, The Netherlands Personal: https://people.utwente.nl/m.sartori Lab: https://bit.ly/NMLab YouTube: https://bit.ly/NMLTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From miguel-areias at dcc.fc.up.pt Tue Jun 29 09:20:19 2021 From: miguel-areias at dcc.fc.up.pt (Miguel Areias) Date: Tue, 29 Jun 2021 14:20:19 +0100 Subject: Connectionists: 2nd CFP - 17th Doctoral Consortium (DC) on Logic Programming (ICLP-DC 2021) Message-ID: ========================================================================= ????????????????????????? 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 antona at alleninstitute.org Tue Jun 29 20:33:51 2021 From: antona at alleninstitute.org (Anton Arkhipov) Date: Wed, 30 Jun 2021 00:33:51 +0000 Subject: Connectionists: Tutorials on Allen Institute data and tools for computational neuroscience at CNS*2021 Message-ID: <9E1FADAE-4186-4D6C-B304-562FB18B4FEB@alleninstitute.org> Starting soon: pre-CNS*2021 tutorials ?From synapses to behavior ? using open data, tools, and models from the Allen Institute in computational neuroscience?. Please register for CNS*2021 (https://www.cnsorg.org/cns-2021-quick) and find the Zoom link on the conference Sched page. Wednesday, June 30, 2021 11:30 am ? 11:45 am ET (8:30 am ? 8:45 am PT) - Introduction 11:45 am ? 12:45 pm ET (8:45 am ? 9:45 am PT) - Synaptic Physiology (Luke Campagnola) 12:45 pm ? 1:00 pm ET (9:45 am ? 10:00 am PT) - Break 1:00 pm ? 2:00 pm ET (10:00 am ? 11:00 am PT) - Visual Coding 2-photon (Saskia de Vries) 2:00 pm ? 3:00 pm ET (11:00 am ? 12:00 pm PT) - Visual Coding Neuropixels (Josh Siegle) Thursday, July 1, 2021 11:30 am ? 11:45 am ET (8:30 am ? 8:45 am PT) - Introduction 11:45 am ? 12:45 pm ET (8:45 am ? 9:45 am PT) - PatchSeq (Nathan Gouwens) 12:45 pm ? 1:00 pm ET (9:45 am ? 10:00 am PT) - Break 1:00 pm ? 2:00 pm ET (10:00 am ? 11:00 am PT) - Visual Behavior (Alex Piet) 2:00 pm ? 3:00 pm ET (11:00 am ? 12:00 pm PT) - Bio-realistic model of the mouse primary visual cortex (Anton Arkhipov and Kael Dai) Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona at alleninstitute.org [Text Description automatically generated] alleninstitute.org brain-map.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 26603 bytes Desc: image001.png URL: From Donald.Adjeroh at mail.wvu.edu Tue Jun 29 12:14:44 2021 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 29 Jun 2021 16:14:44 +0000 Subject: Connectionists: SBP-BRiMS'2021 -- Just one week away !!! In-Reply-To: References: , , , , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies Conference Registration: Registration is now open for the 2021 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), July 6-9, 2021. Conference format is virtual/online. You can register at the website: http://sbp-brims.org/2021/registration/ Conference Fellowships: A limited number of fellowships are available for students and members of underrepresented groups to support participation in the conference. Please apply early as the slots are limited. For more details, visit the conference website http://sbp-brims.org/ , and check the menu for Scholarships, under "Conference Information". Keynotes: Keynote Speaker: Dr. Mia Bloom Professor, Communication, Middle East Studies Center, College of Arts and Sciences, Georgia State University https://communication.gsu.edu/profile/mia-bloom/ Keynote Speaker: Dr. Patricia Mabry Research Investigator, Health Partners Institute https://www.healthpartners.com/knowledgeexchange/display/person-Mabry-P-L SBP-BRiMS 2021 Jul. 6 - 9| Online/virtual www.sbp-brims.org Connect with #sbpbrims on social: Follow us on Twitter: http://twitter.com/sbpbrims Like us on Facebook: http://facebook.com/sbpbrims Follow us on LinkedIn: https://www.linkedin.com/company/sbpbrims/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From tiako at ieee.org Tue Jun 29 15:06:15 2021 From: tiako at ieee.org (Pierre F. Tiako) Date: Tue, 29 Jun 2021 14:06:15 -0500 Subject: Connectionists: (1st CFP) 2021 Intl Conf on Automated & Intelligent Systems|| Oklahoma City, USA|| Nov 15-18, 2021 In-Reply-To: References: Message-ID: [Apologies if you receive multiple copies, we fell behind our schedule in making this Call for Papers months earlier due to difficulties in securing a location that provides ample space for social distancing.] =========================================== --- 1st Call for Abstracts and Papers ------------- 2021 OkIP International Conference on Automated and Intelligent Systems (CAIS) MNTC Conference Center, Oklahoma City, OK, USA & Online November 15-18, 2021 https://eventutor.com/e/CAIS001 Oklahoma International Publishing (OkIP) is pleased to host the 1st International Conference on Automated and Intelligent Systems (CAIS). The conference aims to bring together scholars from different disciplinary backgrounds to emphasize the dissemination of ongoing research and development in the field. Proposals are solicited describing original works in fields below and related technologies. CAIS will include a peer-reviewed program of technical, industrial, and poster sessions. Accepted and presented full papers from the tracks below will be published by OkIP and submitted for indexation in major abstract and citation databases of peer-reviewed literature. Extended versions of best papers will be considered for the inaugural issue of the International Journal of Information Technology Research ISSN 1553-653X. >> Agent-based, Automated, and Distributed Supports - Multi-Agent Systems - Software Agents - Decentralized Intelligence - Distributed Intelligence - Context-Aware Computing - Group Decision Support Systems - Intelligent Structures - Intelligent Networks - Design Approaches - Automation Approaches - Sensor Networks Architectures - Path Planning - Complex Manufacturing Processes - Analytical Models - Multistage Assembly Line - Automated Inspection >> Intelligent Systems and Applications - Medical Nanorobotics - Sensory Systems - Embedded Systems - Microsatellite - Embedded Systems - Digital Manufacturing - Optimization Algorithms - Evolutionary Algorithms - Bioinformatics Applications - Biotechnology Applications - Computer Vision Applications - Sensor Networks Applications - Intelligent Design - Soft Computing - Ubiquitous Computing - Pervasive Computing - Wearable Computing - Fuzzy Systems - Intelligence Manufacturing - Cyber-physical Systems - Kinematics >> Knowledge-based and Control Supports - Expert Systems - Decision Support Systems - Intelligent Control Systems - Intelligent Supervision Systems - Knowledge Engineering - Complex Systems - Neural Networks - Structural Optimization - Intelligent Teleoperation - Intelligent Shopfloor - Collision Avoidance - Object Detection and Tracking - Path Planning - Position Control - Fault Diagnosis - Quality Control - Motion Control - Preventive Maintenance - Defect Detection - Predictive Control >> Robotics and Vehicles - Unmanned Vehicles - Unmanned Robots - Autonomous Vehicles - Autonomous Robots - Human-Robot Interfaces - Human-Robot Interactions - Robotic Applications - Intelligent Telrobotics - Service Robots - Robotic Manipulators - Self-driving Vehicles - Cloud-based Driving - Robotic Arms - Vehicular ad hoc Networks - Traffic Detection - Vehicle-to-Vehicle Communication - Vehicle Platooning - Steering Systems - Vehicle dynamics - Traffic Computing >> Technical Research & Industry Contribution - Full Paper: Accomplished research results (6 pages) - Short Paper: Work in progress/fresh developments (3 pages) - Poster/Journal First: Displayed/Oral presented (1 page) >> Corporate Showcase & Exhibition - Booth: Display product and/or service offerings (1 page) - Oral: Present product and/or service offerings (1 page) >> Student Poster & Career Fair - Graduate & Doctoral: Peer-reviewed Poster (1 page) - Undergraduate/High School: Selected Poster (1 page) - Recruiter Booth: Product/Service & Job offerings (1 page) >> Workshop, Tutorial, Forum & Panel - Workshop, Tutorial & Tour: Proposal (1 page) - Executive Forum, Panel & Talk: Proposal (1 page) >> Important Dates: - Submission: Aug 31, 2021 - Notification: Sep 26, 2021 - Conference: Nov 15-18, 2021 >> Technical Program Committee https://eventutor.com/event/6/page/12-committee >> Venue https://eventutor.com/event/4/page/9-venue >> Co-located Conferences and Events https://eventutor.com/event/4/page/4-conferences >> For more information, submission details, and important dates visit: https://eventutor.com/e/CAIS001 Please feel free to contact us for any inquiry at: info at okipublishing.com -------- Pierre Tiako 2021 OkIP CAIS General Chair tiako at ieee.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From franciscocruzhh at gmail.com Wed Jun 30 03:42:49 2021 From: franciscocruzhh at gmail.com (Francisco Cruz) Date: Wed, 30 Jun 2021 17:42:49 +1000 Subject: Connectionists: Deadline extension: IEEE ICDL Workshop on Human-aligned Reinforcement Learning for Autonomous Agents and Robots Message-ID: Call for Papers: IEEE ICDL 2021 Workshop: Human-aligned Reinforcement Learning for Autonomous Agents and Robots Website: https://harlworkshop.github.io/ Virtual conference Date: August 27th, 2021 **Submission Deadline extended to: July 12th, 2021 (11:59pm AOE)** **We particularly encourage authors to share their in-progress works in the form of extended abstracts and short papers.** ============================= **Call for Papers:** 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 We invite submissions of both extended abstracts (upto 2 pages including references) as well as full papers (upto 6 pages including references). Submissions must be in PDF, formatted using the IEEE conference style in two columns. PDF manuscripts may be submitted through EasyChair. 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. **Key Dates:** Submission Deadline: July 12, 2021 (11:59pm AOE) (EXTENDED) Acceptance Notification: July 30, 2021 Camera-ready version: August 12, 2021 (11:59pm AOE) Workshop: August 27 (Tentative), 2021 **Confirmed list of 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 mtkostecki at gmail.com Wed Jun 30 11:34:03 2021 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Wed, 30 Jun 2021 17:34:03 +0200 Subject: Connectionists: Preprogrammed: Innateness inNeuroscience and AI Symposium, Sept 9th Message-ID: Hello! We are happy to announce the symposium *Preprogrammed: Innateness in Neuroscience and AI, *which will be held online, Sept 9th. The concept of innateness has many meanings ? it was many times claimed to be hazy, not well-defined, and useless. Yet it is still there: used in next reincarnations of the nature-nurture debate, political and social discussions, and ? most recently ? in debates over the future of AI. With our speakers ? philosophers, psychologists, neuroscientists, and AI researchers ? we will try to map different meanings of innateness in different fields, discuss if those meanings are compatible and what are implications of it; we will think about how this concept can be used and what are the limits of its usefulness. We will conclude our meeting with an online discussion. *Please find more info & registration form on our webpage* - https://nenckiopenlab.org/innateness/ Best, Mateusz Kostecki -------------- next part -------------- An HTML attachment was scrubbed... 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Name: plakat_sympozjum_2021_internet_3.png Type: image/png Size: 3144507 bytes Desc: not available URL: From fabio.bellavia at unifi.it Wed Jun 30 18:32:33 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Thu, 1 Jul 2021 00:32:33 +0200 Subject: Connectionists: VISMAC2020 Phd summer school - REGISTRATION OPEN AND FINAL PROGRAM AVAILABLE Message-ID: <0af19a7a-62d4-22e8-a611-d1772f8bd1f9@unifi.it> 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, Palermo, Italy https://math.unipa.it/vismac2020 ____________________________________________ === 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. The school will be from the 21st to the 24th of September 2021 as a full online event through Microsoft Teams. At the conclusion of class, students will be required to perform successfully an online exam to obtain a final certification. === 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 === Final program with daytime schedule is available here: https://math.unipa.it/vismac2020/markdown/ 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