From marcin at amu.edu.pl Fri Jan 1 06:24:57 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 1 Jan 2021 12:24:57 +0100 Subject: Connectionists: New ComSIS issue: Parallel Computing, Edge Computing, Advances in DB and IS In-Reply-To: References: Message-ID: <42cab4a5-ca13-2aac-5c01-e9e47f2e8d9b@amu.edu.pl> ComSIS SCI Journal: http://www.comsis.org/index.php Two-year impact factor (2019): 0.927. Five-year impact factor (2019): 0.775. Volume 17, Issue 3 (October 2020) - Special Sections: Special Section: Parallel Computing and Applications A New Model for Predicting the Attributes of Suspects Chuyue Zhang, Xiaofan Zhao, Manchun Cai, Dawei Wang and Luzhe Cao An Improved Heuristic-Dynamic Programming Algorithm for Rectangular Cutting Problem Aihua Yin, Chong Chen, Dongping Hu, Jianghai Huang and Fan Yang Energy-Efficient Non-linear K-barrier Coverage in Mobile Sensor Network Zijing Ma, Shuangjuan Li, Longkun Guo and Guohua Wang Maximize Concurrent Data Flows in Multi-radio Multi-channel Wireless Mesh Networks Zhanmao Cao, Qisong Huang and Chase Q. Wu An Improved MCB Localization Algorithm Based on Weighted RSSI and Motion Prediction Chunyue Zhou, Hui Tian and Baitong Zhong Special Section: Edge Computing VDRF: Sensing the Defect Information to Risk Level of Vehicle Recall based on Bert Communication Model Xindong You, Jiangwei Ma, Yuwen Zhang, Xueqiang Lv and Junmei Han A Homomorphic-encryption-based Vertical Federated Learning Scheme for Rick Management Wei Ou, Jianhuan Zeng, Zijun Guo, Wanqin Yan, Dingwan Liu and Stelios Fuentes A Novel Data-Driven Intelligent Computing Method for the Secure Control of a Benchmark Microgrid System Shunjiang Wang, Yan Zhao, He Jiang, Rong Chen and Lina Cao A Recommendations Model with Multiaspect Awareness and Hierarchical User-Product Attention Mechanisms Zhongqin Bi, Shuming Dou, Zhe liu and Yongbin Li A Study on the Development of a Light Scattering Particulate Matter Sensor and Monitoring System Jun-hee Choi and Hyun-Sug Cho A Load Balancing Scheme for Gaming Server applying Reinforcement Learning in IoT Hye-Young Kim and Jin-Sul Kim Graph Embedding Code Prediction Model Integrating Semantic Features Kang Yang, Huiqun Yu, Guisheng Fan and Xingguang Yang Special Section: Advances in Databases and Information Systems Improving the Performance of Process Discovery Algorithms by Instance Selection Mohammadreza Fani Sani, Sebastiaan J. van Zelst and Wil van der Aalst Crowd counting ? la Bourdieu, Automated estimation of the number of people Karolina Przybylek and Illia Shkroba Visual E-Commerce Values Filtering Framework with Spatial Database metric M. Kopecky and P. Vojtas -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From mjose.escobar at gmail.com Sat Jan 2 10:20:14 2021 From: mjose.escobar at gmail.com (Maria Jose Escobar) Date: Sat, 2 Jan 2021 12:20:14 -0300 Subject: Connectionists: REMINDER: IEEE TCDS Special Issue on Emergent Topics on Development and Learning Message-ID: *Special Issue on Emerging Topics on Development and Learning* IEEE Transactions on Cognitive and Developmental Systems https://mc.manuscriptcentral.com/tcds-ieee This special issue will include state-of-the-art research on emerging topics on development and learning in natural and artificial systems. This special issue has a focus on development and learning from a multidisciplinary perspective gathering researchers from computer science, robotics, psychology, and developmental studies. We invite researchers to share knowledge and research on how humans and animals develop sensing, reasoning and actions, and how to exploit robots as research tools to test models of development and learning. We expect the submitted contributions emphasize the interaction with social and physical environments and how cognitive and developmental capabilities can be transferred to computing systems and robotics. This approach goes hand in hand with the goals of both understanding human and animal development and applying this knowledge to improve future intelligent technology, including for robots that will be in close interaction with humans. Important Dates - Special Issue Submission Deadline: Friday, 15th January 2021 - Special Issue Notification: Monday, 15th March 2021 - Special Issue Revised Manuscripts: Thursday, 10th June 2021 - Special Issue Final Version: Saturday, 10th July 2021 The primary list of topics of interest include, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. Guest Editors: Giulio Sandini, Italian Institute of Technology and University of Genoa, Italy https://www.iit.it/people/giulio-sandini Javier Ruiz-del-Solar, Universidad de Chile https://scholar.google.com/citations?user=U0XHBs8AAAAJ Nicol?s Navarro-Guerrero, Department of Engineering, Aarhus University, Denmark https://nicolas-navarro-guerrero.github.io/ Mar?a-Jos? Escobar, Department of Electronic Engineering, Universidad T?cnica Federico Santa Mar?a, Chile http://profesores.elo.utfsm.cl/~mjescobar/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Sun Jan 3 08:22:13 2021 From: max.garagnani at gmail.com (Max Garagnani) Date: Sun, 03 Jan 2021 14:22:13 +0100 Subject: Connectionists: MSc in Computational Cognitive Neuroscience -- 2021-22 applications now OPEN In-Reply-To: References: Message-ID: *********************************************************************************************************************** The MSc in Computational Cognitive Neuroscience programme at Goldsmiths, University of London (UK) is now accepting application for part-time and full-time studies in 2021-22. This cutting-edge Masters course, a combined effort of the Computing and Psychology Departments, builds on the multi-disciplinary and strong research profiles of our staff. It equips students with a solid theoretical basis and knowledge of experimental methods in computational cognitive neuroscience, providing them also with an opportunity to consolidate their skills in a practical research project, possibly carried out in collaboration with a partner from industry. Applications for the 2021-22 Academic Year are now open. To submit an online application (free of any costs), click on this link and follow the instructions: https://bit.ly/2Fi86SB NOTE: places on this course are limited and allocated on a first-come, first-served basis. COURSE OUTLINE =============== This is a one-year (full-time) or two-years (part-time) MSc degree programme, consisting of taught courses (120 credits) plus research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for the full-time pathway). It is designed for students with a good degree in the biological / life (psychology, neuroscience, biology, medicine, etc.) or physical (computer science, mathematics, physics, engineering) sciences, however, individuals with different backgrounds but commensurate experience will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (Modelling Cognitive Functions, Cognitive Neuroscience, Cortical Modelling, and Advanced Quantitative Methods). Unlike other standard computational neuroscience programmes (which focus predominantly on modelling low-level aspects of brain function), one of the distinctive features of this course is that it includes the study of biologically constrained models of cognitive processes (including, e.g., language and decision making). The final research project can be carried out ?in house? or in collaboration with an external partner, either from academia or industry. For samples of previous MSc projects, visit: https://coconeuro.com/ LINKS WITH INDUSTRY =================== The programme has active links with a number of collaborators from industry, including representatives from international companies with headquarters in UK, Germany, Italy, and Japan. Carrying out your final project in collaboration with one of our industry partners will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you particularly competitive on the job market. For any further information, including funding opportunities and tuition fees, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ For any other specific questions, please do not hesitate to get in touch. Max Garagnani Maria Herrojo Ruiz -- Joint Programme Leaders, MSc in Computational Cognitive Neuroscience Department of Computing Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW, UK https://www.gold.ac.uk/computing/people/garagnani-max/ https://www.gold.ac.uk/psychology/staff/herrojo-ruiz-maria/ Check out what our alumni have to say about this course: https://coconeuro.com/ *************************************************************************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sun Jan 3 15:22:14 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 3 Jan 2021 21:22:14 +0100 Subject: Connectionists: Information Technology And Control -- New Issue Published -- Vol. 49 No. 4 (2020) -- Published: 2020-12-19 -- open access In-Reply-To: References: Message-ID: <6c7d496d-cfd8-2ce7-e4a3-dc7f8a1653f6@amu.edu.pl> Information Technology And Control -- Vol. 49 No. 4 (2020) https://itc.ktu.lt/index.php/ITC/issue/current HAPPY 2021! Marcin Paprzycki -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From alessandra.sciutti at gmail.com Sun Jan 3 10:24:32 2021 From: alessandra.sciutti at gmail.com (Alessandra) Date: Sun, 3 Jan 2021 16:24:32 +0100 Subject: Connectionists: Call for papers for the IEEE International Conference on Development and Learning ICDL 2021 (11th edition of the ICDL-EPIROB Conference) Message-ID: <002d01d6e1e4$89e86430$9db92c90$@gmail.com> Happy 2021! For a good start, here it is the second call for papers for ICDL 2021. --- CALL FOR PAPERS IEEE International Conference on Development and Learning (ICDL) 2021 (11th edition of ICDL-EPIROB) Conference dates: August 23rd-26th, 2021 Web page: https://icdl-2021.org/ An IEEE Computational Society-sponsored conference Location: Beijing, China (Due to the influence of COVID-19, IEEE ICDL 2021 may be held virtually.) Paper Submission Deadline: February 15th, 2021 Tutorial and Workshops Submission Deadline: February 1st, 2021 Journal Track Submission Deadline: April 28th, 2021 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental science. We invite submissions for the conference in 2021 to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field, in the form of full papers, workshop and tutorials and of submissions to the journal track. We also invite your participation in the REAL 2021 competition. ==== Topics ==== The primary list of topics of interest include (but are not limited to): . General principles of development and learning; . Development of skills in biological systems and robots; . Nature VS nurture, critical periods and developmental stages; . Models on active learning; . Architectures for cognitive development and life-long learning; . Emergence of body knowledge and affordance perception; . Analysis and modelling of human motion and state; . Models for prediction, planning and problem solving; . Models of human-human and human-robot interaction; . Emergence of verbal and non-verbal communication skills; . Epistemological foundations and philosophical issues; . Models of child development from experimental psychology. ==== Full Papers ==== Papers of at most 6 pages in IEEE double column format will undergo peer-review, and accepted and presented submissions will be included in the conference proceedings published by IEEE Xplore. The authors of the best conference papers will be invited to extend their contributions for a Special Issue of IEEE Transaction on Cognitive and Developmental Systems (IEEE TCDS). The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/ ==== Workshops and Tutorials === We invite experts in different areas to organize either a tutorial or a workshop to be held on the first day of the conference. The submission should be of maximum two pages including title, list of speakers, concept and target audience. It should include also a description of the structure of the event, the indication of the duration (half day or full day) and it should state whether the event is open to paper/poster submissions. If possible, a link to the event website should be provided. The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/#tutorial ==== Journal Track and Competition ==== We highly recommend the submission in Journal Track to discuss important results related to cognitive and developmental systems recently published as journal articles, but not been previously presented as conference papers. All submissions must include in a single PDF the details of the original journal paper and a cover letter to explain why the authors believe that the paper is central for ICDL. The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/#journal We also strongly expect your participation in the REAL 2021 competition. The REAL competition addresses open-ended learning with a focus on "Robot open-Ended Autonomous Learning" (REAL)", that is, on systems that: (a) acquire sensorimotor competence that allows them to interact with objects and physical environments; (b) learn in a fully autonomous way, i.e. with no human intervention. Find all the details here: https://icdl-2021.org/competition/ ==== Important Dates ==== Conference dates: August 23rd-26th, 2021 Paper Submission deadline: February 15th, 2021 Paper Author notification: April 15th, 2021 Camera ready due: May 15th, 2021 Tutorial and Workshops Submission Deadline: February 1st, 2021 Tutorial and Workshops Author notification: April 15th, 2021 Journal Track Submission Deadline: April 28th, 2021 Journal Track Notification: May 20th, 2021 ================= Best regards, Program Chairs Alessandra Sciutti (Italian Institute of Technology, Italy) Jing Chen (Peking University, China) Publication Chair Weiwei Wan (Osaka University, Japan) General Chairs Dingsheng Luo (Peking University, China) Angelo Cangelosi (University of Manchester, UK) ---------------------------------------- Alessandra Sciutti (PhD) Researcher Tenure Track - P.I. CONTACT Unit Istituto Italiano di Tecnologia - Genova, Italy tel: +39 010 2897 327 ************* Currently editing a Research Topic on Affective Shared Perception Frontiers in Integrative Neuroscience and Frontiers in Robotics and AI. Interested in submitting? https://www.frontiersin.org/research-topics/16086/affective-shared-perceptio n ************* website: https://www.iit.it/people/alessandra-sciutti ERC website: https://www.whisperproject.eu/ TEDx talk (Italian): https://www.youtube.com/watch?reload=9&v=e0eMayWU_lc twitter: @alefreedot -------------- next part -------------- An HTML attachment was scrubbed... URL: From malin.sandstrom at incf.org Mon Jan 4 09:58:34 2021 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Mon, 4 Jan 2021 15:58:34 +0100 Subject: Connectionists: Call for community project proposals and mentors for INCF's participation in GSoC 2021 - expression of interest due January 15 Message-ID: Hello all, ------- Please forward this email to prospective mentors you might have in your network ---- INCF will be applying again to Google Summer of Code, for the 11th time running. Last year was a record year in the number and diversity of projects, we hope to do at least as well this year! A note on scope: we are looking for open source project ideas with some sort of *neuro connection* - fixes or extensions to big/broadly applicable or small/niche tools used by neuroscience researchers, efforts and initiatives in the broad field of computational neuroscience. If your project supports or implements *neuroscience standards or best practices*, we are especially happy (but all projects are treated equally, when it comes to slot assignments). This year, we are *also looking for mentors who come without their own projects *and are willing to take on student-proposed projects that fit their interests. As you may have seen earlier this year, Google has announced some changes to the program . Projects will now be SHORTER (10 weeks instead of 12) and entry thresholds for students will be diversified, which will allow more varied student backgrounds. In compensation, there will be more projects. This means, if you have a running project from previous years that you want to continue, you may need to *re-scope* its contents and aims a bit, maybe even split it in two (independent) parts. With a shorter time span and a more varied student body, where not all students will be as near to full-fledged computer scientists, we will need to put a bit more effort into *introductions, support *and *confidence-building*. INCF will help with this, please refer interested students to us at an early stage so we can onboard them into our 'potential students' community. Another important change: this time (and in years forward), we aim to *keep all prospective students in the INCF community*, regardless of if they are accepted to a project or not. They may well be candidates for next year, and also, since you will be putting actual effort into project discussions, we want to make sure it is useful. Also, the usual reminder: there is no guarantee that INCF is accepted this year until we hear from Google on *March 9*. Please be clear with this in your communication with students. The* timeline * is similar to the years before: Applications open near the *end of January (29th)*, they close near *mid February (19th)*. We aim to have a live project ideas list in mid January. Orgs are announced on *March 9*, and student applications are open *March 21 - April 19*. *Important*: last year we were near peak capacity in the number of project ideas on our final list, with a flurry of last-minute activity. We therefore want interested mentors to contact us (gsoc at incf.org or malin at incf.org) *early* with a declaration of interest and a short summary of the intended project, latest *January 15*. If you want to mentor but don't have a project idea, you are still welcome to join our list of potential mentors for ideas that originate with students. Actual project descriptions should ideally come by *January 22*, a week before we officially go live with the project list on *January 29*, but we will take on late requests from *previous mentors only* (including mentors of previous non-accepted projects) on a case-by-case basis if they are well described and properly scoped. Project template: Each submission should come *by email* and contain: 1) An *informative title* with relevant keywords (good-to-have: name of tool/project, name of programming language) 2) A *project description* including a brief general intro, motivation, aims, scope and skills/skill level needed. Please indicate 2-5 tech keywords (Python, C++, Java, SQL, REST, CUDA, ...) 3) Name of *lead mentor* + a *named co-mentor or backup mentor* who would be able and willing to back the main/contact mentor up in mentoring in case something unforeseen happens (can be more than one, as long as you are internally clear on who does what) 4) Any planned *longer absences* during the lead up/student interaction period (*February 1 - April 19*, especially the last week) or the project period (May 17 - *August 30*), and the plan for covering them. 5)* Format*: your choice - txt, doc, docx, pdf or a link to a webpage with the full description(s). Anything that can be copied and pasted. NB: Project ideas will be posted on *Neurostars.org* after the ideas list goes live, and prospective mentors are expected to *join the forum and be available* for questions from students during the run up to the announcement (late Jan - early March) and the student interactions period (March-April). This can be handled by email, mostly, if you prefer, once you have set your NeuroStars account up. Questions and project submissions: please email *malin at incf.org * AND cc *gsoc at incf.org *. Happy new year of coding! /Malin -- Malin Sandstr?m, PhD Community Engagement Officer malin.sandstrom at incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels v?g 15 A SE-171 77 Stockholm Sweden http://www.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From ivan.ezhov at tum.de Mon Jan 4 08:21:45 2021 From: ivan.ezhov at tum.de (Ezhov, Ivan) Date: Mon, 4 Jan 2021 13:21:45 +0000 Subject: Connectionists: PhD position on the Inverse Biophysical Modeling and Machine Learning in Personalized Oncology, UZH/TUM Message-ID: We, at IBBM lab (UZH/TUM), seek PhD candidates to further develop computational approaches for solving the inverse problem in the context of brain tumor modeling with the aim to improve radiotherapy planning. ********** Description. Understanding the dynamics of brain tumor progression is essential for optimal treatment planning. Cast in a mathematical formulation, it can be viewed as an evaluation of a system of partial differential equations, wherein the underlying physiological processes that govern the growth of the tumor, such as diffusion and proliferation of tumor cells, are considered. To personalize the model, i.e. find a relevant set of parameters, with respect to the tumor dynamics of a particular patient, the model can be informed from empirical data, e.g., medical images obtained from different diagnostic modalities, such as magnetic-resonance imaging (MRI) or positron-emission tomography (PET). ******** Keywords. Computational physiology, statistical inference, physics-informed deep learning *********** Prerequisites. Python/C++, ability to understand some math (probability theory, partial differential equations). For contact details and further information please visit http://campar.in.tum.de/Students/phdDcomex -------------- next part -------------- An HTML attachment was scrubbed... URL: From christian.hardmeier at lingfil.uu.se Mon Jan 4 13:06:35 2021 From: christian.hardmeier at lingfil.uu.se (Christian Hardmeier) Date: Mon, 4 Jan 2021 18:06:35 +0000 Subject: Connectionists: Deadline approaching: Postdoctoral Researcher - Pronouns and MT - Uppsala University Message-ID: Postdoctoral Researcher in Computational Linguistics (18-22 months) Uppsala University Application deadline: 11 January 2021 We are offering a position for a postdoctoral researcher in Computational Linguistics at Uppsala University. The position is available for 18 months of full-time research, or up to 22 months assuming a 20% teaching load throughout the employment. The researcher will work on the development of multilingual neural models for the translation of pronouns and other referring expressions in neural machine translation as part of a project funded by the Swedish Research Council and supervised by Christian Hardmeier (https://christianhardmeier.rax.ch/). The researcher will be part of the NLP group at Uppsala University (https://cl.lingfil.uu.se/people/). The position also offers opportunities for collaboration with the NLP group at the IT University of Copenhagen. If you have any questions, don't hesitate to get in touch with me: christian.hardmeier at lingfil.uu.se More information and application link in the official job posting: https://uu.se/en/about-uu/join-us/details/?positionId=368356 N?r du har kontakt med oss p? Uppsala universitet med e-post s? inneb?r det att vi behandlar dina personuppgifter. F?r att l?sa mer om hur vi g?r det kan du l?sa h?r: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy From george at cs.ucy.ac.cy Mon Jan 4 08:35:37 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Mon, 4 Jan 2021 15:35:37 +0200 Subject: Connectionists: 15th International Conference on Research Challenges in Information Science (RCIS 2021): Third Joint Call for Doctoral Consortium, Posters & Demos, Research Projects and Tutorials Message-ID: *** Third Joint Call for Doctoral Consortium, Posters & Demos, Research Projects and Tutorials *** 15th International Conference on Research Challenges in Information Science (RCIS 2021) May 12-14, 2021, Royal Apollonia Beach Hotel 5*, Limassol, Cyprus http://www.rcis-conf.com/rcis2021/ Submission deadline (except tutorials): February 9, 2021 (AoE) Submission deadline only for tutorials: March 19, 2021 (AoE) (Proceedings to be published by Springer) RCIS has become a recognized conference on research challenges in Information Science. Organized for the 15th time in a row, RCIS 2021 will be held from May 12-14, 2021, in Limassol, Cyprus. The topics of interest are organized into some major categories (more details in the call for papers http://www.rcis-conf.com/rcis2021/callPapers.php): ? Information Systems and their Engineering ? User-Oriented Approaches ? Data and Information Management ? Business Process Management ? Domain-specific IS Engineering ? Data Science ? Information Infrastructures ? Reflective Research and Practice IMPORTANT DATES FOR ALL SATELLITE EVENTS ? Submission deadline (except tutorials): February 9, 2021 (AoE) ? Submission deadline for tutorial proposals: March 19, 2021 (AoE) ? Notification to authors and registration opening: March 12, 2021 ? Notification for tutorial proposals: March 22, 2021 ? Author registration deadline for all paper types: March 29, 2021 ? Camera-ready copy deadline for all paper types: March 29, 2021 ? Conference: May 12-14, 2021 DOCTORAL CONSORTIUM The RCIS 2021 Doctoral Consortium is an opportunity for doctoral students to present, discuss and develop their research project in an interdisciplinary workshop, under the guidance of a panel of senior researchers. The Doctoral Consortium offers nice opportunities for PhD students. Firstly, the feedback received during the Doctoral Consortium will really benefit students who have defined their topic, research plan and have obtained early results, but who still have room for improving their longer-term plan. Secondly, students at all stages of their doctoral project can meet the welcoming RCIS community and widen their network of contacts. The Doctoral Consortium has the following objectives: ? Provide a platform for students to present their work and to meet other peers and be familiar with different research topics and methods. ? Provide feedback on students' current research and guidance on future research directions. ? Promote the development of a supportive community of scholars and a spirit of collaborative research and networking. ? Contribute to the conference goals through interaction with other researchers. Interested PhD students are invited to submit papers, in agreement with their supervisors, addressing the instructions that are provided on the online call: http://www.rcis-conf.com/rcis2021/callDoctoral.php . Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Submissions must be written in English, and must be authored by the student only. The maximum length of the paper should be eight (8) pages, including references, appendices, etc. The submission site address is https://easychair.org/my/conference?conf=rcis2021 where you can choose the "RCIS2021_Doctoral_Consortium" track. Doctoral Consortium Chairs ? Xavier Franch, Universitat Polit?cnica de Catalunya, Spain ? Renata Guizzardi, University of Twente, The Netherlands Doctoral Consortium Student Co-Chair ? Blagovesta Kostova, EPFL, Switzerland POSTERS AND DEMOS The posters & demos track will showcase prototypes and new research ideas in Information Science. This track provides a forum for researchers and practitioners to present their work, interact with conference participants, and obtain feedback on on-going research. We invite two types of submissions: ? Posters are intended to convey a research result and are not advertisements for commercial software packages. While posters need not describe completed work, they should report on research for which at least some preliminary results are available. ? Demonstrations should directly and actively involve the exhibition and display of tools/prototypes and associated materials that illustrate research work in progress and serve as ground for discussion of research ideas. Posters and demonstrations proposals must be submitted as a single PDF file with no more than 6 pages in Springer LNCS/LNBIP format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) including references and appendices. Proposals that exceed the limit of 6 pages will be rejected without review. Proposals that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2021. The submission site address is http://www.rcis-conf.com/rcis2021/ where you can choose the "RCIS2021 Posters & Demos" track. More details on the submission and presentation format is online: http://www.rcis-conf.com/rcis2021/callPostersDemo.php . Posters & Demos Chairs ? Dominik Bork, TU Wien, Austria ? Giovanni Meroni, Politecnico di Milano, Italy RESEARCH PROJECTS @RCIS RCIS 2021 features a track entirely devoted to presenting future or ongoing research projects (e.g., H2020 or ERC projects, national grants) in the context of information science. This track features a good opportunity for presenters to get feedback before submitting research project or to disseminate the intermediate results of their projects, and for participants to get an updated view of innovative ongoing research while getting in touch with potential research partners. The Research Projects @RCIS Track follows a two-step publication process. Firstly, the authors should submit a 2 pages paper summarizing the objectives of the project and relevant results. Each submission will be peer reviewed on the relevance of the submitted paper in the context of RCIS. If the paper is accepted, the authors will have to register to the conference in order to present their work as a poster at the "Research Projects @ RCIS" session at RCIS. A discussant system will be organized to ensure proper feedback and discussions about the projects. Furthermore, the accepted 2 pages paper will be published in the conference proceedings to be published by Springer in the LNBIP series. Beyond the special topic for RCIS 2021, the conference welcomes Research Projects submissions from any domain of Information Science. More information about the special topic and the range of topics that RCIS traditionally addresses can be found in: http://www.rcis-conf.com/rcis2021/callPapers.php . The submission site address is https://easychair.org/my/conference?conf=rcis2021 where you can choose the "ResearchProjects at RCIS2021" track. More information about preparing and submitting contributions related to this track can be found here: http://www.rcis-conf.com/rcis2021/researchProjects.php . Research Projects @RCIS Chairs ? Denisse Mu?ante, T?l?com SudParis, Institut Polytechnique de Paris, France ? Anthony Simonofski, UNamur and KU Leuven, Belgium TUTORIALS Tutorials are intended to provide independent instruction (know-how) on a topic of relevance for the RCIS academic and practitioner community. However, we discourage commercial or sales-oriented tutorials. Potential presenters should keep in mind that there might be a varied audience, including novice graduate students, seasoned practitioners, and specialised researchers. Tutorial speakers should be prepared to cope with this diversity. The conference has specific slots for tutorials. They will be organised in sessions of 90 minutes with a free format. Tutorials run in parallel with other conference tracks, and participation in the tutorials is included in the attendees' conference fee. We invite proposals for tutorials that may address one or more of the listed topics below, although authors should not feel limited by them. A 2-page summary of the tutorials that end up being accepted and delivered will be published in the conference proceedings, which will be published by Springer in the Lecture Notes in Business Information Processing series. Furthermore, a free registration for the conference will be offered to the main presenter (i.e. to one speaker), unless they are the only paying author of a paper presented at the conference. Beyond the special topic for RCIS 2021, the conference welcomes tutorial proposals from any domain of Information Science. More information about the special topic and the range of topics that RCIS traditionally addresses can be found in: http://www.rcis-conf.com/rcis2021/callPapers.php . Tutorial proposals are limited to 5 pages in Springer LNCS/LNBIP format and should be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . The submission site address is https://easychair.org/my/conference?conf=rcis2021 where you can choose the "RCIS2021_Tutorials" track. More information about preparing and submitting contributions related to this track can be found here: http://www.rcis-conf.com/rcis2021/tutorials.php . Tutorial Chairs ? Sergio Espa?a, Utrecht University, The Netherlands ? Patricia Mart?n-Rodilla, University of A Coruna, Spain CONFERENCE COMMITTEES General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Selmin Nurcan, Universit? Paris 1 Panth?on-Sorbonne, France Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Samira Cherfi, CNAM, France ? Anna Perini, FBK, Italy Proceedings Chair ? Raihana Ferdous, FBK, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.langer at psychologie.uzh.ch Mon Jan 4 06:08:41 2021 From: n.langer at psychologie.uzh.ch (Nicolas Langer) Date: Mon, 4 Jan 2021 12:08:41 +0100 Subject: Connectionists: Postdoctoral position available at University of Zurich, Switzerland Message-ID: <9EA007F0-6DE3-4434-BB39-C2F4B223395B@psychologie.uzh.ch> Postdoctoral Researcher in multimodal Cognitive Neuroscience Department: Department of Psychology at the University of Zurich (Switzerland), Methods of Plasticity Research (http://www.psychology.uzh.ch/en/chairs/plafor.html ) Position: Postdoctoral Researcher (salary 98?000 USD/year; funding 2 years with the possibility of extension) Description of UZH unit: Our lab develops novel methodological approaches to study variations in cognitive performance across the lifespan and along the continuum from healthy to pathological functioning. Specifically, we investigate the potential for plasticity, mechanisms for stabilization and compensation across the lifespan. For this, we acquire and analyze multimodal data sets, such as structural MR, diffusion weighted data (DWI), simultaneous EEG and eye-tracking as well as behavioral data. From these rich data sets, we extract multivariate parameters and apply state-of-the-art methods, such as machine learning, functional network modelling, and longitudinal analyses. Responsibilities: The successful candidate will work on research in large scale multimodal projects to predict future cognitive decline from multimodal brain imaging data and non-brain risk factors (see project description below). Main responsibilities include the analysis of structural MRI data (optionally also DWI data), dissemination of study results in peer reviewed journals, and the supervision of PhD and Master students. The candidate will take part in ongoing projects and initiate new research within the team of Prof. Nicolas Langer, who is also part of the Neuroscience Center Zurich (ZNZ) (https://www.neuroscience.uzh.ch/en.html ), closely collaborating with the University Research Priority Programme from the University of Zurich ?Dynamics of Healthy Aging? (https://www.dynage.uzh.ch/en.html ), the Healthy Brain Network of the Child Mind Institute (US), (http://fcon_1000.projects.nitrc.org/indi/cmi_healthy_brain_network/) and the Department of Computer Science at the ETH Zurich (https://www.systems.ethz.ch/ ). Workload %: 80 - 100% Qualifications: ? PhD degree in a field related to cognitive neuroscience (e.g., cognitive neuroscience, (neuro-)psychology, computer science, biomedical or electrical engineering) ? Expertise in structural MRI analyses is a must ? Proficiency in programming in Python is a must (Matlab or R is a plus) ? Proficiency in machine learning (e.g. random forest regression models) ? Experience with DWI analysis is desirable ? Knowledge in resting state fMRI is a plus ? Excellent verbal and written English skills ? Interest in teaching about methods (e.g. applications of machine learning in neuroscience) Language requirements: English We offer: ? To work in a team of highly motivated young researchers who are passionate about neuroscience, psychology and computer science ? A very competitive salary (98?000 USD/year) and generous social benefits ? Employment 2 years with the possibility of extension ? Generous support for professional travel and research needs (~5?000 USD/year) ? An inspiring work environment within the Department of Psychology and the University of Zurich and part of the Neuroscience Center Zurich (ZNZ) with many high-caliber collaborations (Frontlab, ICM, Paris, France; University of Montreal, Canada; University of Texas at Austin, USA; Neurospin, Saclay, France) ? The opportunity to live in Zurich, one of the world?s most attractive cities Please visit?https://www.pa.uzh.ch/en/Willkommen-an-der-UZH.html for further information. This position opens on: 1.3.2021 (earliest, starting data is flexible) More information: Prof. Nicolas Langer, n.langer at psychologie.uzh.ch Application To be considered please stick to the following application format: ? CV including publication list and contact details of two referees (max. 3 pages) ? Statement describing motivations, personal qualifications and research interests (max. 2 pages) ? Save application in one single pdf file with the file name ?Methlab_[SURNAME]_[name].pdf? ? Send application by email to: n.langer at psychologie.uzh Applications will be considered until the position is filled (ideally submit your application before 31st of January 2021). Description of the Project: Predicting future cognitive decline from non-brain risk factors and multimodal brain imaging data The present project aims to develop a framework to predict individual future cognitive decline in healthy and pathological aging based on existing data from multimodal neuroimaging and non-brain risk factors like demographics, baseline cognitive state, health, health behaviors, and genetic (i.e. APOE) data. The project will use data from the Open Access Series of Imaging Studies (OASIS-3) database (oasis-brains.org ) and the Alzheimer's Disease Neuroimaging Initiative (ADNI) (http://adni.loni.usc.edu/ ). This databases provides longitudinal data from multiple neuroimaging and risk factor data sources, allowing to characterize cognitive decline over multiple years in healthy and pathological aging in a large sample of over 1?000 participants. The multimodal neuroimaging and risk factors, from the baseline session will be used to predict cognitive decline at follow-up sessions via predictive models. The pilot experiment suggests that a combination of non-brain and structural data give the best predictions of future cognitive decline. The model needs to be refined by benchmarking different data processing strategies for input and further improving the generalizability by increasing the model?s robustness against site-effects. Nicolas Langer Assistant Professor of Methods of Plasticity Research University of Zurich Andreasstrasse 15 (Office AND.4.56) 8050, Zurich, Switzerland n.langer at psychologie.uzh.ch phone: (+41) 44 635 34 14 http://www.psychology.uzh.ch/en/areas/nec/plafor.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Jan 4 03:14:32 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 4 Jan 2021 10:14:32 +0200 Subject: Connectionists: =?utf-8?q?CfP_IEEE_International_Conference_on_Au?= =?utf-8?q?tonomous_Systems__=28IEEE_ICAS_2021=29_Conference=2C_11-?= =?utf-8?q?13th_August_2021=2C_Montr=C3=A9al=2C_Qu=C3=A9bec=2C_Cana?= =?utf-8?q?da?= References: <002e01d6e26e$3f6d83b0$be488b10$@csd.auth.gr> Message-ID: <020d01d6e271$a270c690$e75253b0$@csd.auth.gr> %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ** Call for Papers | IEEE ICAS 2021 ------------------------------------------------------------ ** IEEE International Conference on Autonomous Systems ------------------------------------------------------------ On behalf of the IEEE Signal Processing Society (SPS) and IEEE SPS Autonomous Systems Initiative (ASI), the organizing committee is delighted to invite you to the IEEE International Conference on Autonomous Systems (ICAS 2021), to be held in Montr?al, Qu?bec, Canada between August 11 and August 13, 2021. The IEEE ICAS 2021 will be a premier international forum for presenting the technological advances and research results in the fields of theoretical, experimental, and applied Autonomous Systems (AS). View Call for Papers ( https://2021.ieee-icas.org/sites/icas21/files/documents/call-docs/icas2021-cfp_web.pdf) Original papers are invited from multidisciplinary, interdisciplinary and transdisciplinary perspectives on subject topics in Autonomous Systems (AS): * Theoretical Foundations of Autonomous Systems * Emerging Fields of Autonomous Systems * Autonomous Systems Engineering View all topic areas HERE ( https://2021.ieee-icas.org/#topics) . The following special tracks will also accept papers from the main submissions: * Security of Autonomous Cyber Physical Systems * Autonomous Medical Robotic Systems * Autonomous Control Systems * Autonomous Transportation Systems * Signal Processing for Self-Aware and Social Autonomous Systems ** Important Dates ------------------------------------------------------------ February 3, 2021: Paper Submission Deadline May 1, 2021: Notification of Paper Acceptance June 1, 2021: Final Submission of Accepted Papers %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% -- 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 tomg at princeton.edu Mon Jan 4 14:10:28 2021 From: tomg at princeton.edu (Tom Griffiths) Date: Mon, 4 Jan 2021 19:10:28 +0000 Subject: Connectionists: Postdoctoral position in machine learning and cognitive science Message-ID: <44AEC7FE-A958-4DAB-8F4B-29759B8D5C68@princeton.edu> Dear colleagues, Please see the ad below for a postdoctoral position (the deadline is January 15). I?m looking for excellent candidates who are interested in the intersection of machine learning and cognitive science broadly construed, but particularly people who want to work on problems like integrating more structure into reinforcement learning, approaches to and applications of meta-learning, or using machine learning as a tool in the analysis of large behavioral datasets (particularly decision-making). Start date is more flexible than the ad suggests. Best wishes, Tom. -- Postdoctoral position in machine learning and cognitive science The Computational Cognitive Science Lab and the Computer Science Department at Princeton University is seeking to hire a postdoctoral or more senior researcher at the intersection of machine learning and cognitive science. Positions are for one year anticipated to start in July 2021 with the possibility of renewal contingent upon satisfactory performance and continued funding. Potential research topics include hierarchical reinforcement learning, meta-learning and lifelong learning, and use of machine learning techniques to predict human decision-making. Familiarity with machine learning, statistics, or computational models of cognition as a prerequisite, but researchers with PhDs in disciplines other than computer science are eligible to apply. Applicants must apply at https://www.princeton.edu/acad-positions/position/18661 and submit a CV, research statement, and contact information for three references. This position is subject to the University's background check policy. Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. -- Tom Griffiths Henry R. Luce Professor of Information Technology, Consciousness and Culture Departments of Psychology and Computer Science Princeton University http://cocosci.princeton.edu/tom/ From terry at salk.edu Mon Jan 4 16:31:51 2021 From: terry at salk.edu (Terry Sejnowski) Date: Mon, 04 Jan 2021 13:31:51 -0800 Subject: Connectionists: NEURAL COMPUTATION - December 1, 2020 In-Reply-To: Message-ID: Neural Computation - Volume 32, Number 12 - December 1, 2020 available online for download now: http://www.mitpressjournals.org/toc/neco/32/12 http://cognet.mit.edu/content/neural-computation ----- Articles Resonator Networks Outperform Optimization Methods at Solving High-dimensional Vector Factorization Spencer Kent, E. Paxon Frady, Friedrich T Sommer, and Bruno A. Olshausen Resonator Networks for Factoring Distributed Representations of Data Structures E. Paxon Frady, Spencer Kent, Bruno A. Olshausen, and Friedrich T Sommer Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI Tiger W. Lin, Yusi Chen, Qasim Bukhari, Giri P. Krishnan, Maxim Bazhenov, and Terrence J. Sejnowski Letters Synchrony and Complexity in State-related EEG Networks: An Application of Spectral Graph Theory Amir Hossein Ghaderi, Bianca R. Baltaretu, Masood Nemati Andevari, Vishal Bharmauria, and Fuat Balci Toward a Unified Framework for Cognitive Maps Woori Kim, Yongseok Yoo Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, and Ichiro Takeuchi Redundancy-aware Pruning of Convolutional Neural Networks GuoTian Xie Analyzing and Accelerating the Bottlenecks of Training Deep SNNs With Backpropagation Ruizhi Chen, Ling Li ------------ 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 graduateprograms at bccn-berlin.de Tue Jan 5 05:05:41 2021 From: graduateprograms at bccn-berlin.de (Graduate Programs) Date: Tue, 5 Jan 2021 11:05:41 +0100 Subject: Connectionists: Digital Info Day - International Master & PhD in Computational Neuroscience @ BCCN Berlin - 27.01.21 Message-ID: <6aa562f9-66f9-bb8c-1968-102e97d2487a@bccn-berlin.de> Dear Connectionists, Please share the following event information with anyone who may be interested. We at the Bernstein Center for Computational Neuroscience (BCCN) Berlin will hold a "Digital Info Day" to discuss our International Master & Doctoral Programs in Computational Neuroscience on Wednesday, January 27th, at 3pm (CET). The event will consist of talks by: * Prof. Dr. Klaus Obermayer (head of the programs) * Lisa Velenosi (teaching coordinator) * Current master and doctoral students Attendees will also have the opportunity to meet & discuss with current students and ask any questions or concerns that they may have. See our website for a more detailed schedule and registration link. Best regards and happy new year, Lisa Velenosi -- Lisa Velenosi Teaching Coordinator Bernstein Center for Computational Neuroscience Humboldt-Universit?t zu Berlin Philippstra?e 13, Haus 6; 10115 Berlin; Germany Tel: +49 (0)30 2093 6773 Technische Universit?t Berlin Marchstra?e 23; Raum 5.061; 10587 Berlin; Germany Tel: +49 (0)30 314 72006 SFB1315 - Network Outreach Coordinator PhD & Postdoc Cohort -------------- next part -------------- An HTML attachment was scrubbed... URL: From taislee at andrew.cmu.edu Tue Jan 5 16:46:59 2021 From: taislee at andrew.cmu.edu (Tai-Sing Lee) Date: Tue, 5 Jan 2021 16:46:59 -0500 Subject: Connectionists: Carnegie Mellon - University of Pittsburgh Joint Summer Undergraduate Program in Computational Neuroscience Message-ID: <894E1F68-DEED-4951-A004-99C8CCF5C7A9@andrew.cmu.edu> Please encourage computationally oriented undergraduates to apply to the Summer 2021 undergraduate program in computational neuroscience in Pittsburgh! Undergraduates interested in receiving research training in computational neuroscience are encouraged to apply to an NIH-sponsored summer program at the Center for the Neural Basis of Cognition (CNBC) in Pittsburgh, PA. The CNBC is a joint interdisciplinary program of Carnegie Mellon University and the University of Pittsburgh. Starting in late May or early June each year, a select group of talented undergraduates will embark on a 10-week residential program that provides intensive, mentored research experiences in computational and theoretical neuroscience. Admitted students will receive a stipend. In the summer of 2020, the program was successfully run entirely virtually via Zoom. While it is likely that the program will start virtually in summer of 2021, in the case that COVID-19 safety protocols allow research to be conducted in person in Pittsburgh, students will then also receive university dormitory housing, and travel expenses will be covered. The core of the program is the opportunity to carry out an individual mentored research project working closely with a faculty mentor. Other aspects of the scientific program include faculty research talks, student presentations and discussion of articles from the scientific literature, presentations on career options and scientific ethics, and a concluding symposium in which students present their research. This program is intended for students who wish to pursue a Ph.D. after graduation. Any undergraduate may apply, but we are especially interested in attracting students with strong quantitative backgrounds. Many of our trainees are from colleges and universities that do not have extensive research programs, but all must be United States citizens or permanent residents, must be enrolled at a 4-year accredited institution, and must be in their sophomore or junior year at the time of application. CNBC is dedicated to creating an inclusive and welcoming environment for all students and we encourage applications from women, under-represented minorities, and individuals with disabilities. Additional information and the application can be found here . A showcase of past years? undergraduate mentored research and program schedules is available. Application Receipt Deadline: February 15, 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From pstone at cs.utexas.edu Tue Jan 5 10:52:17 2021 From: pstone at cs.utexas.edu (Peter Stone) Date: Tue, 05 Jan 2021 09:52:17 -0600 Subject: Connectionists: Postdoc opportunity - UT Austin (Learning Agents Research Group) Message-ID: <3808.1609861937@cs.utexas.edu> DEPARTMENT OF COMPUTER SCIENCE, THE UNIVERSITY OF TEXAS AT AUSTIN, USA POSITION: Post-doctoral fellow on Robotics, Multiagent Systems, and Reinforcement Learning CONTACT: Prof. Peter Stone The University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712 USA pstone at cs.utexas.edu www.cs.utexas.edu/~pstone Applications are invited for a postdoctoral fellow of one year, possibly renewable for additional years, in the Department of Computer Science in the Learning Agents Research Group headed by Prof. Peter Stone. Primary responsibilities include performing cutting-edge research in collaboration with faculty, Ph.D. students, and other researchers. The research will focus on developing and testing novel algorithms for in connection with a range of projects related to robotics and multiagent reinforcement learning. Motivating use cases include long-term autonomous service robots and adaptive autonomous driving and traffic management. QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or related field. Experience with machine learning and intelligent robotics is essential. Experience in deep reinforcement learning, multiagent systems, and/or ROS is desired. TO APPLY: Applicants should send by email to pstone at cs.utexas.edu - a curriculum vitae - names of two references with contact information - a two-page summary of past research and relevant qualifications - a personal Web page, if available, where further details can be found This position is to start as early as March of 2021 or at any agreed upon later date. Applications will be reviewed as they are received. From sageev at vectorinstitute.ai Tue Jan 5 18:21:54 2021 From: sageev at vectorinstitute.ai (Sageev Oore) Date: Tue, 5 Jan 2021 19:21:54 -0400 Subject: Connectionists: multiple tenure-stream positions (restricted to women) in CS at Dalhousie University (Halifax, Canada) Message-ID: All details are available here : https://dal.peopleadmin.ca/postings/5007 This set of positions is restricted to candidates who self-identify as women. Note: A successful candidate with a high level of research activity in the area of Artificial Intelligence may be recommended for a Canada CIFAR Artificial Intelligence Chair (https://cifar.ca ) and/or an affiliation to the Vector Institute (http://vectorinstitute.ai/ ). Dr. Sageev Oore Canada CIFAR AI Chair, Faculty of Computer Science, Dalhousie University (Halifax) Vector Institute for Artificial Intelligence (Toronto) -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Tue Jan 5 06:55:10 2021 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Tue, 5 Jan 2021 12:55:10 +0100 Subject: Connectionists: CFP - MDPI Journal of Imaging special issue on "Fine Art Pattern Extraction and Recognition" Message-ID: apologies for multiple posting, please distribute among interested parties __________________________________________________________________________ ??????????????? ? ?? Call for Papers - Special Issue ?? ???????????????? of the MDPI Journal of Imaging on ? ? ????????? _____________________________________________ ?? ? ????????? Fine Art Pattern Extraction and Recognition ??? ? ??????? _____________________________________________ -->>> https://www.mdpi.com/journal/jimaging/special_issues/faper2020 <<<-- __________________________________________________________________________ ___________ Aim & Scope Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites. This special issue will provide the researchers from diverse areas such as pattern recognition, computer vision, artificial intelligence, and image processing, with the opportunity to present advancements in the state of the art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for the better understanding and fruition of fine arts. _______________________________________ Topics include, but are not limited to: - Application of machine learning and deep learning to cultural heritage - Computer vision and multimedia data - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Historical document analysis - Content-based retrieval in the art domain - Speech, audio, and music analysis from historical archives - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Projects, products, or prototypes for cultural heritage restoration, preservation, and fruition _______________________________________ Submission Deadline:? 28 February 2021 _______________________________________ Submit your paper to manuscript submission and peer review site via the following link: ->> https://www.mdpi.com/journal/jimaging/special_issues/faper2020 <<- The Article Processing Charge (APC) for publication in the MDPI Journal of Imaging is 1000 CHF (Swiss Francs). ________________ Editor-in-Chief ________________ Prof. Gonzalo Pajares Martinsanz, Universitad Complutense de Madrid, Spain ______________ Guest Editors ______________ Giovanna Castellano, Universita' di Bari, Italy Gennaro Vessio, Universita' di Bari, Italy Fabio Bellavia, Universita' di Palermo, Italy From tomislav.milekovic at epfl.ch Tue Jan 5 06:17:02 2021 From: tomislav.milekovic at epfl.ch (Milekovic Tomislav) Date: Tue, 5 Jan 2021 11:17:02 +0000 Subject: Connectionists: Postdoc in machine learning at EPFL (Lausanne, Switzerland) Message-ID: ???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? mso-level-number-position:left; text-indent:-18.0pt;} @list l0:level9 {mso-level-number-format:roman-lower; mso-level-tab-stop:none; mso-level-number-position:right; text-indent:-9.0pt;} @list l1 {mso-list-id:1091468200; mso-list-type:hybrid; mso-list-template-ids:1280710644 269221889 67698691 67698693 67698689 67698691 67698693 67698689 67698691 67698693;} @list l1:level1 {mso-level-number-format:bullet; mso-level-text:\F0B7; mso-level-tab-stop:none; mso-level-number-position:left; margin-left:38.5pt; text-indent:-18.0pt; font-family:Symbol;} @list l1:level2 {mso-level-number-format:bullet; mso-level-text:o; mso-level-tab-stop:none; mso-level-number-position:left; margin-left:74.5pt; text-indent:-18.0pt; font-family:"Courier New";} @list l1:level3 {mso-level-number-format:bullet; mso-level-text:\F0A7; mso-level-tab-stop:none; mso-level-number-position:left; margin-left:110.5pt; text-indent:-18.0pt; font-family:Wingdings;} @list l1:level4 {mso-level-number-format:bullet; mso-level-text:\F0B7; mso-level-tab-stop:none; mso-level-number-position:left; margin-left:146.5pt; text-indent:-18.0pt; font-family:Symbol;} @list l1:level5 {mso-level-number-format:bullet; mso-level-text:o; mso-level-tab-stop:none; mso-level-number-position:left; margin-left:182.5pt; text-indent:-18.0pt; font-family:"Courier New";} @list l1:level6 {mso-level-number-format:bullet; mso-level-text:\F0A7; mso-level-tab-stop:none; mso-level-number-position:left; margin-left:218.5pt; text-indent:-18.0pt; font-family:Wingdings;} @list l1:level7 {mso-level-number-format:bullet; mso-level-text:\F0B7; mso-level-tab-stop:none; mso-level-number-position:left; margin-left:254.5pt; text-indent:-18.0pt; font-family:Symbol;} @list l1:level8 {mso-level-number-format:bullet; mso-level-text:o; mso-level-tab-stop:none; mso-level-number-position:left; margin-left:290.5pt; text-indent:-18.0pt; font-family:"Courier New";} @list l1:level9 {mso-level-number-format:bullet; mso-level-text:\F0A7; mso-level-tab-stop:none; mso-level-number-position:left; margin-left:326.5pt; text-indent:-18.0pt; font-family:Wingdings;} ol {margin-bottom:0cm;} ul {margin-bottom:0cm;} --> Postdoc position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) Machine learning techniques to develop and enhance clinical treatments based on electrical stimulation of the spinal cord Location: The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded postdoc position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. Postdoc salaries at EPFL rank the highest in the world. Opportunity: The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL?s lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Description: Therapies based on epidural electrical stimulation (EES) of the spinal cord can restore the ability to walk to people paralyzed by spinal cord injury, and alleviate gait deficits of people with Parkinson?s disease. EES does this by recruiting sensory axons within dorsal spinal roots that enter the spinal cord between the vertebrae to increase the activation of the spinal motor pools that, in turn, move the muscles. Yet, the efficacy of the EES-based therapies relies on synchronizing users? movement intentions with the spatiotemporal stimulation protocols that reliably and accurately generate paralyzed movements. Due to the large state space of all the stimulation parameters (location, amplitude, frequency, etc.) efficacy of the therapy depends on the fast and accurate initialization of the stimulation protocols. As the patients use the stimulation, small movements of the array, as well as changes in spine position due to users? posture can reduce the usability of the stimulation. Stimulation efficacy can be enhanced by dynamically adjusting the stimulation protocols to changes to the way how to users? spinal cord reacts to stimulation. Finally, the functional use of the stimulation largely depends on the accurate timing of stimulation delivery. Machine learning approaches that infer users? intentions based on behavioral, physiological or neural recordings can vastly improve the synchronization between intended and therapy-supported movements and, therefore, play a critical role in achieving functional recovery of patients. While the current medical devices mostly support block-based stimulation protocols that remain constant for hundreds of milliseconds, upcoming devices will enable changes of stimulation at a millisecond resolution, thus opening a new field for machine learning approaches that exploit these capabilities. The successful candidate will work to develop, implement and apply machine learning algorithms and approaches to enhance EES-based therapies. Specifically, he will: * Design the mapping procedures for the generation of transfer functions that relate the continuously-controlled stimulation to the evoked muscle activity. * Develop algorithms that automatically adjust these transfer functions as the interaction between patients and their EES-based therapy evolves. * Implement machine learning techniques that utilize users? behavioral, physiological and neural signals to continuously synchronize the delivery of stimulation with the users? movement intentions. * Lead the team that develops machine learning methods to initialize and adjust block-based EES protocols. * Assist and oversee the development and implementation of machine learning methods that use inference of discrete motor events to synchronize block-based EES protocols with the users? intentions. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge machine learning concepts within medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. The successful candidate will have access to these animal platforms and will work within the framework of multiple NeuroRestore clinical trials with people with spinal cord injury and Parkinson?s disease. They will benefit from the possibility of validating their concepts in animal experiments and implementing them within the therapies being tested in the clinical trials. Prerequisites: * Doctoral degree (PhD) * Proficiency in Python, Matlab and C++ * Strong background in quantitative data analysis * Experience with applying multiple machine learning techniques to behavioral, physiological, biological and/or neural datasets * Good written and verbal skills in English Contact: Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic at epfl.ch. Informal inquiries are welcome. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pgarner at idiap.ch Tue Jan 5 05:06:06 2021 From: pgarner at idiap.ch (Phil Garner) Date: Tue, 5 Jan 2021 11:06:06 +0100 Subject: Connectionists: PhD position in neural speech processing Message-ID: Dear Colleagues, There is a fully funded PhD position open at Idiap Research Institute on "Neural Architectures for Speech Technology". The research will build on work done over the past few years at Idiap on creating tools for physiologically plausible modelling of speech. The current "toolbox" contains rudimentary muscle models and means to drive these using conventional (deep) neural networks. More recently, the focus has been on theoretical underpinnings via rigorous Bayesian techniques. Although the project remit is quite open, a significant research thread will be to factorise current neural vocoders into physiological and probabilistic components; this will be with a focus on identifying how they may be controlled by external agents such as dialogue managers. Another possible thread is to examine these models in the context of speech recognition. In doing this, we hope not only to enable the next generation of expressive speech recognition and synthesis, but also to make inference about the underlying physiological mechanisms of speech production and perception. For more information, and to apply, please follow this link: https://www.idiap.ch/education-and-jobs/job-10313 Idiap is located in Martigny in French speaking Switzerland, but functions in English and hosts many nationalities. PhD students are typically registered at EPFL. All positions offer quite generous salaries. Martigny is a local art, culture and viticulture hub, and is close to all manner of skiing, hiking and mountain life. There are other open positions on Idiap's main page: https://www.idiap.ch/en/join-us/job-opportunities Sincerely, -- Phil Garner http://www.idiap.ch/~pgarner From nsmattei at gmail.com Tue Jan 5 13:35:59 2021 From: nsmattei at gmail.com (Nicholas Mattei) Date: Tue, 5 Jan 2021 12:35:59 -0600 Subject: Connectionists: Last Call for Nominations: ACM SIGAI Autonomous Agents Research Award 2021 Message-ID: [Apologies for multiple postings, please pass on to interested people!] Please nominate individuals for the AA Award! Note that we are interested in individuals whose past and *current work* is important to the field! We encourage mid-career nominations! Nominations are solicited for the 2021 ACM SIGAI Autonomous Agents Research Award. This award is made for excellence in research in the area of autonomous agents. It is intended to recognize researchers in autonomous agents whose current work is an important influence on the field. The award is an official ACM award, funded by an endowment created by ACM SIGAI from the proceeds of previous Autonomous Agents conferences. The recipient of the award will receive a monetary prize and a certificate, and will be invited to present a plenary talk at the AAMAS 2021 conference in London, United Kingdom. Anyone can make a nomination. Nominations should be made by email to the chair of the award committee, Stacy Marsella (stacymarsella at gmail.com), and should consist of a short (< 1 page) *statement that emphasizes not only the research contributions that the individual has made that merit the award but also how the individual?s current work is an important influence on the field.* * 15 January 2021 -- Deadline for nominations * 12 February 2021 -- Announcement of winner * 3-7 May 2021 -- AAMAS-2021 conference in London, United Kingdom Call as a PDF: https://rebrand.ly/SIGAI-AA-Award -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 402B +1 504 862 8391 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From kc.w at cityu.edu.hk Wed Jan 6 02:44:23 2021 From: kc.w at cityu.edu.hk (Dr. Ka Chun WONG) Date: Wed, 6 Jan 2021 07:44:23 +0000 Subject: Connectionists: Second Call for Journal Special Issue Papers on Springer Nature journal (i.e. SN Operation Research Forum) for Metaheuristics Message-ID: https://www.springer.com/journal/43069/updates/18357818 Advances, Applications & Challenges in Metaheuristics: In Celebration of the Cuckoo Search Algorithm Overview Cuckoo Search, a nature inspired optimization algorithm, was invented by Xin-She Yang (UK) & Suash Deb (India) 10 years ago. Since then it had been proved to be an important & a very useful tool for addressing myriads of optimization problems, both for industrial applications as well as for theoretical ones. Recently the 1st publication of Cuckoo search, published in the year 2009, reached 5000 citations (Google Scholar). In order to celebrate these milestones, SN Operations Research Forum intends to publish a special topical collection by assembling a collection of papers and showcasing the recent efforts in the areas of metaheuristics and nature inspired computing. Accordingly, the journal invites manuscripts, which neither had been published already nor submitted for consideration elsewhere, for this special issue highlighting "Advances, Applications & Challenges in Metaheuristics" to be guest edited by Ka-Chun Wong (Hong Kong) & Thomas Hanne (Switzerland) & due for publication in 2021. The aim here is to present academicians/researchers/industry professionals/post graduate students some of state-of-the-art research on metaheuristics and the cuckoo algorithm through a cluster of original research contributions in any aspect of the below areas as well as their novel applications. Articles highlighting the challenges as faced by the researchers and/or envisaged by them as well as comprehensive surveys are also welcome in the aforesaid areas. Along with Cuckoo Search (CS) and the other well-known metaheuristics algorithms like Particle swarm optimization (PSO), Ant colony optimization (ACO), Memetic algorithms, Evolutionary algorithms, Simulated annealing, Artificial bee colony etc., articles dealing with the following (but not limited to) areas are also solicited: * Artificial immune systems * Chaos optimization * Central Force Optimization * Chicken Swarm Optimization * Earthworm Optimization * Elephant Herding Optimization * Firefly algorithm * Grey wolf optimization * Harmony search * Monarch butterfly optimization * Rainfall optimization * Sperm Swarm optimization * Tabu search * Wolf search optimization * Whale optimization Guest Editors * Ka-Chun Wong, Dept. of Computer Science, City University of Hong Kong, Hong Kong (kc.w at cityu.edu.hk) * Thomas Hanne, Inst. of Information Systems, University of Applied Sciences and Arts Northwestern Switzerland, Switzerland (thomas.hanne at fhnw.ch) Submission Procedure * Papers should be submitted at the SN Operations Research Forum website: https://www.editorialmanager.com/orfo/default.aspx * Select Article Type: Manuscript * Upload your files. When the system asks, "Does this manuscript belong to a special issue?" reply: Yes, then choose the option "Advances, Applications & Challenges in Metaheuristics: In Celebration of the Cuckoo Search" * Complete the the submission process as required. Important Dates * Submission Deadline: March 30, 2021 * Publication Date: Upon acceptance of each paper Papers are published upon acceptance, regardless of the Special Issue publication date. Thanks for attention. Kind Regards, Ka-Chun ---------------------------------------------- Ka-Chun Wong BEng, MPhil (CUHK), PhD (Toronto) Department of Computer Science City University of Hong Kong kc.w at cityu.edu.hk Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.hutt at inria.fr Wed Jan 6 08:24:30 2021 From: axel.hutt at inria.fr (Axel Hutt) Date: Wed, 6 Jan 2021 14:24:30 +0100 (CET) Subject: Connectionists: Permanent position in computational modeling of neurostimulation in mental disorders Message-ID: <656066251.14386646.1609939470524.JavaMail.zimbra@inria.fr> ------------------------------------------------------------------------------------ Permanent position in computational modeling of neurostimulation in mental disorders ------------------------------------------------------------------------------------ The research of the INRIA-team MIMESIS in Strasbourg / France (https://mimesis.inria.fr) aims to create a synergy between clinicians and scientists to develop new healthcare technologies. The team researchers collaborate closely with clinicians and choose their research focus along the clinical applications. Major scientific objectives are the development of advanced online- and offline simulations involving new numerical techniques for real-time computation and data-driven simulation dedicated to patient-specific modelling. One application branch is embedded in neuroscience with a specific focus on general anaesthesia and neurostimulation of patients suffering from mental disorders. For instance, members of MIMESIS work in the recently funded project A/D Drugs (https://www.inria.fr/en/ad-drugs-exploratory-action-aimed-optimising-neurostimulation) to develop novel neurostimulation techniques in psychosis that may emerge in schizophrenia patients. The team offers the possibility to apply for a permanent position as Charg? de Recherche (CR) or Directeur de Recherche (DR) in the research field of computational neuroscience with a strong focus on linking brain network modelling with experimental data. The new colleague should have a strong expertise in neurostimulation and/or modelling of experimental data observed in mental disorders. Strong programming and mathematical skills are mandatory. INRIA is a French National Institute for Research in Digital Science and Technology (https://www.inria.fr/en) with 8 research centres in France. The team MIMESIS is located in the centre of Strasbourg on the hospital campus as part of the Research Centre Nancy Grand Est. The application deadline will be mid of February 2021, but it is recommended to contact the team (by email: axel.hutt at inria.fr) in advance. For more details or sending your application documents (CV including publication list), please contact Dr. Axel Hutt (email: axel.hutt at inria.fr) . From perusquia at ieee.org Wed Jan 6 10:02:24 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Thu, 7 Jan 2021 00:02:24 +0900 Subject: Connectionists: Final call for Special Sessions (ACII21) Message-ID: ======================================================= Affective Computing and Intelligent Interaction (ACII) 2021 28 Sep ? 1 Oct 2021, Nara, Japan http://www.acii-conf.net/2021/ ======================================================= The organising committee of the 2021 Affective Computing and Intelligent Interaction (ACII) is now inviting for special session proposals. Interested parties will need to provide sufficient evidence in support of their proposed special session topic explaining why it deserves distinct focus, how it relates to the theme of the conference ?Ethical Affective Computing? (technologies and applications including but not limited to mental health monitoring/diagnosis, lie detection, and social/assistive robots which consider the full range of human diversity with respect to ability, language, culture, gender, age and other forms of human difference). It should demonstrate that there is sufficient interest to attract papers on this topic. Once accepted, the organizers of the special session will be expected to attract sufficient papers to make up one session, 1hr 40min, at the conference even after a rigorous peer review of submissions. Note, if a special session fails to receive an adequate number of accepted papers, the special sessions will be cancelled and the accepted papers will be included in regular sessions. Also, at least one of the special session organizers will be expected to attend the conference. **Submission format** Proposals must be submitted as a single PDF via email to hongying.meng at brunel.ac.uk AND youngjun.cho at ucl.ac.uk Your proposal should include the following items: ? Title of the session ? Rationale of the need for the Special Session at ACII 2021. The rationale should highlight the novelty of the topic and how it relates to the theme of the conference: Ethical Affective Computing ? Potential candidates for submission ? Potential structure of session i.e., oral, posters, mix of oral and poster, or other structure relevant for the special session ? Short biography of the organizers **Review Process of Special Session Submissions** Papers will be treated as regular papers from both the perspective of the review process and of the proceedings (e.g., length, timeline). The special session will have its own keyword and session organizers will be asked to nominate reviewers. **Key Dates for Special Session Proposal (23:59pm GMT)** Submission of Special Session proposals: January 11, 2021 Notification of acceptance for the Special Sessions: January 18, 2021 Paper Submission to the accepted Special Sessions Deadline: April 9, 2021 (regular paper submission deadline) Notification of acceptance for the papers: 25 June, 2021 Camera-ready papers due: 30 July, 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From rickys at sethi.org Wed Jan 6 11:57:01 2021 From: rickys at sethi.org (Ricky J. Sethi) Date: Wed, 6 Jan 2021 11:57:01 -0500 Subject: Connectionists: CFP: Identifying, Tracking, and Fact-Checking Misinformation Message-ID: <20210106165701.GB32515@siddhartha.sethi.org> *** Please advertise widely -- Apologies for crossposting *** ====================================================================== CFP: Frontiers in Big Data Special Issue Research Topic Topic: Fact-Checking Misinformation Title: Identifying, Tracking, and Fact-Checking Misinformation Abstract Submission URL: https://www.frontiersin.org/research-topics/16605/identifying-tracking-and-fact-checking-misinformation Abstract Submission Deadline: January 22, 2021 ====================================================================== Background: The phenomena of fake news and the rise of "alternative facts" often dominate news cycles globally. Although these terms are new, reliance upon propaganda and misinformation predates the Internet, not just in politics but in communication exchange in general. Indeed, the proliferation of fake news in today???s digital world has moved beyond a specific election cycle and now commands headlines all over the world. Misinformation, disinformation, and propaganda are shared on social networks and spread like wildfire across all sorts of media using automation technologies like social bots and coordinated activities orchestrated by malicious entities. Being able to distinguish credible information from misinformation is essential to curbing the propagation and amplification of such disinformation. Goal: As the spread of misinformation threatens to become a virtual pandemic, tools are needed to combat disinformation analogously to the way we mitigate biological pathogens: approaches to identify, track, and verify potential misinformation. We therefore invite novel theoretical, experimental, survey-based, substantial works-in-progress, and industry or military experience contributions to a special issue of Frontiers in Big Data titled "Identifying, Tracking, and Fact-Checking Misinformation." This issue covers challenging topics in fact-checking misinformation using automated, computational, and crowd-sourced approaches to fact-checking, including provenance and sources, critical thinking, knowledge graphs, network flows, social media proliferation, emotion, viral models, contexts, satire, manipulated content, imposter content, deep fakes, social bots, malicious actors, reporting and tracking of real world events, rating and reviewing systems, recommendation systems, and more. We especially solicit approaches which leverage the massive amount of data, both structured and unstructured, that is utilized in the intelligent analysis of user-generated content as well as the understanding and establishment of social relationships in the development of potential insights, policies, and strategies for dealing with misinformation. We also encourage submissions relating to the transmission and countering of misinformation surrounding coronavirus and vaccines, psychological and legal considerations in the spread and mitigation of misinformation, as well as communication, political, and military applications of tracking and fact-checking misinformation in various forms, including hoaxes, satires, conspiracy theories, and fake news. Guest Co-Editors: * Ricky J. Sethi: http://research.sethi.org/ricky/ * Md Atiqur Rahman Ahad: http://ahadvisionlab.com/ * Prashant Shiralkar: https://sites.google.com/site/shiralkarprashant/ * Onur Varol: http://www.onurvarol.com/ Keywords: misinformation, fact-checking, fake new, political communication, intelligent analysis, user-generated content About Frontiers Research Topics: With their unique mixes of varied contributions from Original Research to Review Articles, Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author. #misinformation, #factchecking, #fakenews, #politicalcommunication, #intelligentanalysis, #usergeneratedcontent From cgf at isep.ipp.pt Wed Jan 6 07:10:05 2021 From: cgf at isep.ipp.pt (Carlos) Date: Wed, 6 Jan 2021 12:10:05 +0000 Subject: Connectionists: CFPs: IEEE/ACM/ASA DSAA'2021 Message-ID: <9b32464b-3ae6-164f-37d7-b7d542881e28@isep.ipp.pt> IEEE/ACM/ASA DSAA'2021 Porto, 06-09 October 2021 Website: https://dsaa2021.dcc.fc.up.pt/ Submission website: https://cmt3.research.microsoft.com/DSAA2021 ------------------------------------------------------------ Important Dates Research, Application and Tutorials: submission deadline: 23 May 2021 Research and Application notification: 25 Jul. 2021 Research and Application camera ready due: 8 Aug. 2021 ------------------------------------------------------------ Highlights of DSAA'2021 *A strong interdisciplinary research program spanning the areas of data science, including statistics, machine learning, computing, and analytics. *Strong Journal, Research, and Applications tracks with reproducible and open results. *Industry track session with lightning results highlighting research advances and industry?s best practices. *Special sessions on the foundations and emerging areas for data science. *Tutorials on hot topics, and hands-on tutorials *Special panel on the trends and controversies of data science and analytics. *Strong cross-domain interactions among researchers and industry and government policymakers and practitioners. *Industry and research exhibits. *Financially sponsored by IEEE CIS, proceedings by IEEE Xplore and EI indexed. *Technically supported by ACM SIGKDD and ASA. ------------------------------------------------------------ Precaution of COVID-19 Due to ongoing uncertainty about future travel due to COVID-19, DSAA'2021 commits to allowing video presentations of accepted papers by authors who are unable to attend due to COVID-19 travel restrictions. ------------------------------------------------------------ About DSAA'2021 The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA'2021) will provide a premier forum that brings together researchers, industry and government practitioners, as well as developers and users in statistics, computing science, and intelligence science for the exchange of the latest theoretical developments in Data Science and Analytics and the best practice for a wide range of applications. The conference invites submission of papers describing innovative research on all aspects of data science and advanced analytics as well as application-oriented papers that make significant, original, and reproducible contributions to improving the practice of data science and analytics in real-world scenarios. DSAA'2021 is a multi-track conference consisting of a Journal Track, Research Track, Application Track, and Industry Track. DSAA'2021 will also feature a peer-reviewed Poster session whose purpose is to showcase recent and early-stage research developments on topics that are of interest to students and industry/government practitioners in data science and analytics. ------------------------------------------------------------ Research Track The Research Track solicits the latest, original, and significant contributions related to foundations and theoretical developments of Data Science and Advanced Analytics. Topics of interest include but are not limited to: *Data Science and Advanced Analytics Methods *Mathematics, Statistics for data science and analytics *Understanding data characteristics and complexities *Deep Learning *Data quality and misinformation *Bayesian learning, optimization, inference, and regularization *Infrastructures, and systems *Evaluation, explanation, visualization, and presentation *Fairness, accountability, and trustworthy Machine Learning *Survey and review The paper submission deadline for the Research Track is May 23, 2021 (no separate abstract deadline) and the acceptance notifications will be sent out by July 25, 2021. ------------------------------------------------------------ Applications Track The Application track solicits original, impactful, and actionable application results of Data Science and Advanced Analytics across various disciplines and domains, including business, government, healthcare and medical science, physical sciences, and social sciences. Submissions address a real problem on real-life data that is reproducible ideally through a public git repository, providing inspiring results to policymakers, end-users or practitioners or highlighting new practical challenges for researchers. Topics of interest include but are not limited to: *Domain-driven data science and analytics practice *Real-world applications and case studies *Operationalizable infrastructures, platforms, and tools *Deployment, management, and decision-making *System and software demonstrations *Social and economic impact modelling *Ethics, social issues, privacy, trust, and bias ------------------------------------------------------------ Industrial Track The IEEE DSAA'2021 Industry track aims to highlight the challenges of putting together production-grade software solutions to different business verticals based on data science. Our goal is to promote the debate, the exchange of ideas and/or collaborations on how to add business value to society through data science. ------------------------------------------------------------ Submission Submissions to the main conference including Research Track & Application Track are available from CMT: https://cmt3.research.microsoft.com/DSAA2021. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From hava.siegelmann at gmail.com Wed Jan 6 10:55:02 2021 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Wed, 6 Jan 2021 10:55:02 -0500 Subject: Connectionists: MORE hiring BINDS lab University of Massachusetts Message-ID: My friends and colleagues, The BINDS lab at UMass is mainly known for its work in Lifelong Learning AI, analog computation, and previous work on super-Turing classes (which became the foundation of lifelong learning AI). We landed a DARPA DITO project - formally starting today. My lab is looking for more RAs, postdoc, collaborators in the fields of : - speedy hardware simulations including reduction in parameters, incorporating of knowledge for faster learning - modular built of neural networks - meta cognition in neural networks - meta learning in modular networks Please contact me directly if you wish to join us in this very exciting project Hava Siegelmann hava at cs.umass.edu or hava.siegelmann at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tom.Hanika at cs.uni-kassel.de Wed Jan 6 17:56:06 2021 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Wed, 6 Jan 2021 23:56:06 +0100 Subject: Connectionists: [ICFCA 2021] 2nd Call for Workshops and Tutorials Message-ID: ================================================================================ ?ICFCA 2021 ?16th International Conference on Formal Concept Analysis ?June 29 -- July 2, 2021, Strasbourg, France ?Web: ?Mail: icfca2021 at sciencesconf.org ================================================================================ * Call for Workshops and Tutorials The ICFCA?21 Organizing Committee invites proposals for workshops/tutorials to be held on the first day of the conference *(June 29, 2021)*, which will take place in Strasbourg, France. We invite proposals for both *full- and half-day workshops/tutorial* in current and emerging topics in (or related to) Formal Concept Analysis. Starting from ICFCA'2017 the workshop and tutorials provide an opportunity to discuss novel topics in an interactive atmosphere. They can concentrate in-depth on research topics, but can also be devoted to application issues. * Duration & format We welcome both full- and half-day workshop/tutorial proposals. We would like to encourage proposers to aim for a program that is both varied and interesting. For workshops, especially where the format is concerned, we would like you to think about ways of going beyond the usual list of presentations of accepted papers. Another way of extending the usual format is to include a specific challenge problem that can be addressed by the workshop participants, with a dedicated challenge session in the workshop program. Note, however, that the challenge should be only one of the components of the workshop, targeting a problem which is specific to the workshop topic(s). * Combined Tutorial & Workshop Especially for a relatively novel but rapidly maturing topic, giving an introduction of the state-of-the-art may go beyond the scope of an invited presentation. In this case, a half day tutorial followed by a half day workshop could be a good format. * Guidelines for proposals When proposing a workshop or a tutorial, please provide (at least) the following information: * A brief description of ??? * the specific issues that will be addressed, ??? * the reasons why the workshop/tutorial is of interest in these times, ??? * the main research areas involved, ??? * and what the workshop/tutorial will add to the conference (e.g., do you expect papers of a theme that would not fit the main conference?). * For workshops, ??? * a draft of the Call for Papers, including information on accepted formats (e.g., regular papers, extended abstracts, oral-only presentations of relevant recently published or submitted contributions, etc.) ??? * and expected format of the workshop (e.g., invited talks, presentations, poster sessions, panel discussions, challenge sessions, or other ideas for ensuring an interactive atmosphere). ??? * In the case of a combined tutorial-workshop, please clearly indicate the format. * Any special requirements regarding logistics (e.g., poster stands, audio equipment), if applicable. * Submission For applying or if you have any questions, please do not hesitate to [[mailto:icfca2021 at easychair.org][contact the Program Chairs]] (Aleksey Buzmakov, Tom Hanika). We are looking forward to your proposals . _Tutorial/Workshop proposal deadline:_ *Tuesday, Febrary 2, 2021* From jerchen at bu.edu Wed Jan 6 22:50:37 2021 From: jerchen at bu.edu (Chen, Jerry) Date: Thu, 7 Jan 2021 03:50:37 +0000 Subject: Connectionists: Data Scientist Position in Bioinformatics and Neuroscience at Boston University Message-ID: The Lab of Jerry Chen at Boston University is hiring a Staff-Level Data Scientist to be involved in several multi-year BRAIN Initiative related NIH and NSF funded projects. These projects focus on understanding cortical computation during behavior by combining behavior, genomics, spatial transcriptomics, anatomical reconstructions, and large-scale population recordings. This person will be involved in help to analyze experimental data, developing software tools to aid in the data analysis, and helping with data infrastructure and management. Specific Projects include: 1. Analysis of genomic data. 2. Image analysis for in situ sequencing of gene expression (ie. spatial transcriptomics) 3. Automated behavioral training and video analysis. 4. Analysis of dense electron microscope reconstructions of neuronal connectivity (ie. Connectomics). Required Skills: * BA/BS degree (MS/PhD preferred) in Computer Science, Mathematics, Engineering, Bioinformatics, Neuroscience or related technical field. * One to three years of academic or professional experience. * Programming experience in MATLAB, Python, and R is required. * Extensive background in either genomic analysis, image analysis, computer vision, or machine learning is preferred. If interested in applying, please submit a CV along with 3 references to jerry at chen-lab.org Jerry Chen, PhD Assistant Professor Department of Biology Boston University www.chen-lab.org jerry at chen-lab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From oreilly at ucdavis.edu Thu Jan 7 01:38:34 2021 From: oreilly at ucdavis.edu (Randall O'Reilly) Date: Wed, 6 Jan 2021 22:38:34 -0800 Subject: Connectionists: Postdoctoral Position in Cognitive Computational Modeling and Computational Psychiatry, UC Davis Message-ID: Postdoctoral Position in Cognitive Computational Modeling and Computational Psychiatry Center for Neuroscience and the Imaging Research Center at UC Davis PI's: Randall O'Reilly & Cameron Carter We are recruiting for a post-doctoral scholar who will be trained jointly in the labs of Randy O?Reilly and Cameron Carter at the Center for Neuroscience and the Imaging Research Center at UC Davis, focusing on the role of frontal-striatal circuitry in health and in disease. The successful candidate will have a PhD in Psychology, Neuroscience or a related field such as computer science or engineering. Training will include theoretical approaches and the development and application of neurobioloigically informed computational models of higher cognition. The candidate will focus on the validation of these models using existing or new data sets (EEG, fMRI) and the application of the models to provide a more mechanistically informed interpretation of the neural underpinnings of impaired cognition and other symptoms in serious mental illnesses such as schizophrenia and other psychoses. Experience with computational modeling and data analysis of EEG and fMRI data is very desirable and will be evaluated on an individual basis. Interested candidates should contact either Dr. O?Reilly (oreilly at ucdavis.edu) or Dr. Carter (cscarter at ucdavis.edu) with a note describing their interest in training with us and a copy of their CV and any relevant publications. UC Davis is committed to a diverse and inclusive environment and applications from individuals with diverse or under-represented backgrounds are strongly encouraged. - Randy ---- Dr. Randall C. O'Reilly Professor, Department of Psychology and Computer Science Center for Neuroscience, UC Davis 1544 Newton Court Davis CA 95618 -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1776 bytes Desc: not available URL: From Tom.Hanika at cs.uni-kassel.de Wed Jan 6 18:06:29 2021 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Thu, 7 Jan 2021 00:06:29 +0100 Subject: Connectionists: [DEADLINE APPROACHING: CfP] -- ICFCA 2021 -- 16th Intern. Conf. on Formal Concept Analysis (June 29 -- July 2, 2021, Strasbourg, France) Message-ID: ================================================================================ ?ICFCA 2021 ?16th International Conference on Formal Concept Analysis ?June 29 -- July 2, 2021, Strasbourg, France ?Web: ?Mail: icfca2021 at sciencesconf.org ================================================================================ * Overview Formal Concept Analysis emerged in the 1980's from attempts to restructure lattice theory in order to promote better communication between lattice theorists and potential users of lattice theory. Since its early years, Formal Concept Analysis has developed into a research field in its own right with a thriving theoretical community and a rapidly expanding range of applications in information and knowledge processing including visualization, data analysis (mining) and knowledge management and discovery. The ICFCA conference series aims at bringing together researchers and practitioners working on theoretical or applied aspects of Formal Concept Analysis within major related areas such as Mathematics and Computer and Information Sciences and their diverse applications to fields like Software Engineering, Linguistics, Life and Social Sciences, etc. All accepted submissions will be refereed, and the conference proceedings will be published by Springer in the LNCS/LNAI series. * Topics Main topics of interest include, but are not limited to: ** Fundamental aspects of FCA - FCA theory - Lattice theory - Lattice drawing - Philosophical foundations - Algorithms and complexity theory ** Bridging FCA to information sciences and artificial intelligence - FCA and logic, e.g., semantic web, description logics - FCA and conceptual structures, e.g., concept graphs, knowledge spaces - FCA and data analysis, e.g., hierarchical classification, data organization - FCA and data mining, e.g., pattern mining - FCA and information retrieval, e.g. exploratory search, navigation, querying - FCA and machine learning, e.g., learning with hypothesis, feature selection - FCA and database theory, e.g., dependencies, rules, data cubes - FCA and software engineering - FCA and morphological mathematics ** Understanding, modelling real-world data and phenomena with FCA - Analysis of "big data" with FCA, e.g., sampling, parallel computing - Analysis of social networks and their dynamics - Applications for scientific data analysis, e.g., in biology or health care - Applications for sensors data and user interactions traces - Other FCA applications * Submission Details We invite scientific publications on theory and applications of Formal Concept Analysis.? Papers of up to sixteen pages may be submitted in the PDF format via the Easychair system ? . Authors are requested to follow the formatting instructions for the Springer LNCS style [1].? Submissions in LaTeX2e are preferred.? Authors are encouraged to provide an ORCID alongside their submission [2]. Accepted papers have to be presented at the conference.? Therefore, at least one author per paper has to register timely. [1]: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines [2]: https://www.springer.com/gp/authors-editors/orcid * Important Dates Submission of abstract: *January 18, 2021* Submission of full paper: *January 25, 2021* Notification of acceptance: March 16, 2021 Camera ready due: April 5, 2021 Conference: June 29 -- July 2, 2021 * Organization The conference will be hosted by Universit? de Strasbourg ** Conference Chairs Florence Le Ber, ICUBE, Universit? de Strasbourg, CNRS, ENGEES, France Agn?s Braud, ICUBE, Universit? de Strasbourg,? CNRS, France ** Program Chairs Aleksey Buzmakov, Higher School of Economics, Russia Tom Hanika, Universit?t Kassel, Germany ** Editorial Board Jaume Baixeries, Polytechnic University of Catalonia, Catalonia Karell Bertet, L3I, Universit? de La Rochelle, France Peggy Cellier, IRISA lab, Rennes, France Sebastien Ferr?, Universit? de Rennes 1, France Bernhard Ganter, Technische Universit?t Dresden, Germany Dmitry Ignatov, Higher School of Economics, Moscow, Russia Mehdi Kaytoue, INSA-Lyon, LIRIS, France Sergei Kuznetsov, Higher School of Economics, Moscow, Russia Leonard Kwuida, Bern University of Applied Sciences Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, Higher School of Economics, Moscow, Russia Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenb?ttel, Germany Sebastian Rudolph, Technische Universit?t Dresden, Germany Christian Sacarea, Babes-Bolyai University of Cluj-Napoca, Romania Stefan E. Schmidt, Technische Universit?t Dresden, Germany Bar?? Sertkaya, Frankfurt University of Applied Sciences, Germany Gerd Stumme, Universit?t Kassel, Germany Petko Valtchev, Universit? du Qu?bec ? Montr?al, Canada Karl Erich Wolff, University of Applied Sciences, Darmstadt, Germany ** Program Committee (tentative) Fran?ois Brucker, Centrale Marseille, France Victor Codocedo, Universidad T?cnica Federico Santa Mar?a, Chile Pablo Cordero, University of M?laga, Spain Diana Cristea, Babes-Bolyai University Cluj-Napoca, Romania Christophe Demko, L3I lab, Universit? de La Rochelle, France Jean Diatta, Universit? de la R?union, France Stephan Doerfel, MICROMATA GmbH, Germany Xavier Dolques, ICube, Universit? de Strasbourg, France Alain G?ly, Universit? Paul Verlaine, Metz, France Marianne Huchard, LIRMM, Universit? Montpellier, France Robert J?schke, IBI, Humboldt-Universit?t zu Berlin, Germany Jan Konecny, Palacky University, Olomouc, Czech Republic Michal Krupka, Palacky University, Olomouc, Czech Republic Marzena Kryszkiewicz, Warsaw University of Technology, Poland Wilfried Lex, Universit?t Clausthal, Germany Tatiana Makhalova, Universit? de Lorraine, France Jes?s Medina, Cadiz University, Spain Engelbert Mephu Nguifo, LIMOS, Universit? de Clermont Ferrand 2, France Lhouari Nourine, LIMOS, Universit? de Clermont Ferrand 2, France Jan Outrata, Palacky University of Olomouc, Czech Republic Jean-Marc Petit, LIRIS, INSA Lyon, France Pascal Poncelet, LIRMM, Universit? Montpellier, France Sandor Radeleczki, University of Miskolc, Hungary Henry Soldano, Universit? Paris 13, France Laszlo Szathmary, University of Debrecen, Hungary Andreja Tepav?evi?, University of Novi Sad, Serbia Martin Trnecka, Palacky University, Olomouc, Czech Republic Jean-Fran?ois Viaud, L3I lab, Universit? de La Rochelle, France From O.Inel at tudelft.nl Thu Jan 7 03:15:30 2021 From: O.Inel at tudelft.nl (Oana Inel) Date: Thu, 7 Jan 2021 08:15:30 +0000 Subject: Connectionists: ACM UMAP 2021: Second Call for Workshop and Tutorial Proposals Message-ID: ? Apologies for cross-posting ? 29th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2021) Utrecht, Netherlands, and Online June 21-25, 2021 https://www.um.org/umap2021/ CALL FOR WORKSHOPS Important Dates: Proposals due: January 15, 2021 Notification to proposers: January 29, 2021 Workshop Day(s): June TBA, 2021 Submission email: umap2021-workshop at um.org ACM UMAP 2021 is pleased to invite proposals for workshops to be held in conjunction with the conference. ACM UMAP is the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and which collect, represent, and model user information. The workshops provide a venue to discuss and explore emerging areas of User Modelling and Adaptive Hypermedia research with a group of like-minded researchers and practitioners from industry and academia. Information about Hybrid Conference Format ACM UMAP 2021 is planned to be a hybrid event, which welcomes everyone who is willing, able and allowed to travel in Utrecht, the Netherlands. However, there will also be an opportunity to attend the conference and the workshops online. Please check the conference website for updates: https://www.um.org/umap2021/ Workshops can therefore be held by the presenters at Utrecht (with synchronous online streaming), or designed as fully virtual workshops. The workshops will most probably be scheduled to start in the mornings or evenings local time (UTC+1). Workshop Format In this edition, our goal is to have a balanced workshop program comprising different workshop formats, combining newly emerging, currently evolving and established research topics. Different full-day and half-day workshop schemas are possible, such as: ? Working group meetings around a specific problem or topic; participants may be asked to submit a white paper or position statement ? Mini-conferences on specialized topics, having their own paper submission and review processes ? Mini-competitions or challenges around selected topics with individual or team participation ? Interactive discussion meetings focusing on subtopics of the UMAP general research topics. ? Joint panels for different workshops Instructions for Proposers Workshop proposals should not exceed 5 pages and should be organized as follows: ? Workshop title and acronym ? Workshop chair(s), including affiliation, email address, homepage, and experiences in organizing such events ? Abstract (up to 300 words) and topics of interest ? Motivation on why the workshop is of particular interest at this time ? Workshop format, discussing the mix of events such as paper presentations, invited talks, panels, and general discussions ? Intended audience and expected number of participants ? List of (potential) members of the program committee ? Requested duration (half day or full day) ? Proposed workshop format (e.g. hybrid or fully virtual) ? When available, past editions of the workshop, including URLs, a brief statement on the development of the workshop series, e.g., in terms of topics, number of paper submissions and participants, post-workshop publications over the years and acceptance statistics Submission and Review Process Workshop proposals should be submitted in PDF by email to: umap2021-workshop at um.org We encourage both researchers and industry practitioners to submit workshop proposals. Researchers interested in submitting a workshop proposal are invited to contact us in advance, so we can help to design successful proposals. In particular, for workshop proposals with novel interactive formats, we are happy to assist in further developing and implementing the ideas. We strongly suggest involving organizers from different institutions, bringing different perspectives to the workshop topic. We welcome workshops with a creative structure that may attract various types of contributions and may ensure rich interactions. The organizers of accepted workshops will prepare a workshop web site containing the call for papers and detailed information about the workshop organization and timeline. They will be responsible for their own publicity and reviewing processes. There will be a conference adjunct proceedings published by ACM where all the workshop papers will be published. Hence, the workshop organizers will need to adhere to the adjunct proceedings publication timeline. Schedule ? Proposal submission: January 15, 2021 ? Notification of proposal acceptance: January 29, 2021 ? Send the workshop description & website URL: February 15, 2021 ? (Suggested) 1st call for papers: February 20, 2021 ? (Suggested) 2nd call for papers: March 2, 2021 ? (Suggested) paper submission: March 26, 2021 ? (Suggested) notification to authors: April 19, 2021 ? Workshop summary camera-ready deadline: May 7, 2021 ? Workshop papers camera-ready deadline: May 7, 2021 ? Workshop Date: June TBA, 2021 Proceedings and Registration Policy Workshop papers will be included in the Adjunct Proceedings published by ACM. To be included in the Proceedings, at least one author of each accepted workshop paper must register for the conference or the workshop and present the paper there. Student registration fee is allowed to students who present a student paper. A "Workshop/Tutorial Only? fee will be available as well. CALL FOR TUTORIALS Important Dates: Proposals due: January 15, 2021 Notification to proposers: January 29, 2021 Tutorial Day: June TBA, 2021 Submission email: umap2021-workshop at um.org ACM UMAP 2021 is pleased to invite proposals for tutorials to be given in conjunction with the conference. ACM UMAP is the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and which collect, represent, and model user information, Tutorials are intensive instructional sessions aimed to provide a comprehensive introduction to established or emerging research topics of interest for the UMAP community. Information about Hybrid Conference Format ACM UMAP 2021 is planned to be a hybrid event, which welcomes everyone who is willing, able and allowed to travel in Utrecht, the Netherlands. However, there will also be an opportunity to attend the conference and the tutorials online. Please check the conference website for updates: https://www.um.org/umap2021/ Tutorials can therefore be held by the presenters at Utrecht (with synchronous online streaming), or designed as fully virtual tutorials. The tutorials will most probably be scheduled to start in the morning or evening local time (UTC+1). Tutorial Topics Topics of interest include, but are not limited to: ? new user modeling technologies, methods, techniques, and trends (e.g. exploiting data mining and big data analytics for user modeling, evaluation methodologies, data visualization, etc.) ? user modeling and personalization techniques for specific domains (e.g., health sciences, e-government, e-commerce, cultural heritage, education, internet of things, mobile, music, information retrieval, human-robot interaction etc.) ? application of user modeling and personalization techniques for information retrieval and recommender systems ? eliciting and learning user preferences by taking into account users? emotional state, physical state, personality, trust, cognitive factors Instructions for Proposers An ideal tutorial should be broad enough to provide a basic introduction to the chosen area, but it should also cover the most important topics in depth. Tutorial presenters can have one page in the adjunct proceedings. Tutorial proposals should not exceed 5 pages and should contain the following information: ? Title and abstract of the tutorial for inclusion on the ACM UMAP 2021 website (200 words maximum) ? Tutorial description: ? learning objectives of the tutorial and relevance to ACM UMAP 2021 ? targeted audience (introductory, intermediate, advanced) and prerequisite knowledge or skills ? a brief outline of the tutorial structure ? Information about potential practical sessions ? Tutorial length: full (6 hours) or half day (3 hours) ? Other venues to which the tutorial or part thereof has been or will be presented, in addition to explaining how the current tutorial differs from the other editions ? Proposed tutorial format (hybrid or fully virtual) ? Name, email address, affiliation and brief professional biography of the tutorial instructor(s), indicating previous training and speaking experience Submission and Review Process Tutorial proposals should be submitted in PDF by email to: umap2021-workshop at um.org All proposals will be reviewed by the tutorial chairs. The features that will be evaluated are: ? ability of the tutorial to contribute to strengthening the foundations of UMAP research ? clarity of the tutorial, which should emerge from its description ? organization, as appearing from the outline ? background/experience of tutorial instructor(s) in teaching the target topics Timeline ? Proposals due: January 15, 2021 ? Notification of acceptance: January29, 2021 ? Adjunct proceedings camera ready: May 7, 2021 ? Tutorial Day: June TBA, 2021 Proceedings and Registration Policy A ?Workshop/Tutorial Only? fee will be available, as well as the option for student registration. Workshop and Tutorial Chairs Berardina Nadja De Carolis, University of Bari "Aldo Moro", Italy berardina.decarolis at uniba.it Dietmar Jannach, University of Klagenfurt, Austria dietmar.jannach at aau.at -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Jan 7 06:11:31 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 7 Jan 2021 13:11:31 +0200 Subject: Connectionists: Short e-course on Machine Learning and Deep Neural Networks, 17-18th February 2021 Message-ID: <09a901d6e4e5$dac3ff50$904bfdf0$@csd.auth.gr> Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in this Short e-course on 'Machine Learning and Deep Neural Networks', 17-18th February 2021: https://icarus.csd.auth.gr/cvml-short-course-machine-learning-and-deep-neura l-networks/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. Course description 'Machine Learning and Deep Neural Networks' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation of Deep Neural Networks, which are at the forefront of AI advances today, starting with introduction to Machine Learning. Then the cornerstone DNN theory and technologies are presented: a) Artificial Neural Networks, Perceptron; b) Multilayer perceptron, Backpropagation; c) Deep neural networks. Both data classification and regression problems are treated. Convolutional NNs; d) Recurrent Neural Networks. Applications follow in several image analysis, computer vision and autonomous system applications, notably: a) Deep learning for object detection and b) Deep Semantic Image Segmentation. Finally, Generative Adversarial Networks are presented that promise to revolutionize the way we create media/arts, while seriously threatening our democracy with fake data creation and spread. Part B lectures (8 hours) provide fan in-depth presentation of Machine Learning to complement DNNs. Unsupervised Learning (Data Clustering) is first detailed, allowing us to find structure and extract concepts/knowledge from huge high-dimensionality data. Then Supervised Learning (Data Classification) techniques are presented, notably: a) Decision surfaces (whose special case is DNNs and SVMs) and b) Distance based classification. Dimensionality reduction techniques are overviewed, allowing us to visualize high-dimensionality data found in most applications, ranging from Medicine to Financial Engineering. Kernel methods are presented that can boost performance of any linear ML operation (e.g., PCA, K-means etc). Bayesian learning provides a unified theoretical framework that can encompass many of the ML approaches. Deep Reinforcement Learning is also presented, as it is an essential element in novel Robotics/Control and other decision-making application domains. Finally, CVML programming tools (e.g., DNN frameworks, BLAS/cuBLAS, DNN and CV libraries) are overviewed, as they allow fast application of all the above knowledge in almost any application domain. Course lectures Part A: Deep Neural networks (first day, 8 lectures) 1. Introduction to Machine Learning 2. Artificial Neural Networks, Perceptron 3. Multilayer perceptron. Backpropagation 4. Deep neural networks. Convolutional NNs 5. Deep learning for object detection 6. Deep Semantic Image Segmentation 7. Generative Adversarial Networks 8. Recurrent Neural Networks. LSTMs Part B: Machine Learning. Pattern Recognition (second day, 8 lectures) 1. Data Clustering 2. Decision Surfaces. Support Vector Machines 3. Distance-based Classification 4. Dimensionality Reduction 5. Kernel Methods 6. Bayesian Learning 7. Deep Reinforcement Learning 8. CVML Software Development Tools Though independent, the attendees of this short e-course will greatly benefit by attending the CVML short e-course on 'Computer Vision and Image Processing' 24-25th February 2021: https://icarus.csd.auth.gr/cvml-short-course-computer-vision-image-processin g/ You can use the following link for course registration: https://icarus.csd.auth.gr/cvml-short-course-machine-learning-and-deep-neura l-networks/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -- 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 jiangdm at nwpu.edu.cn Thu Jan 7 21:50:17 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Fri, 8 Jan 2021 10:50:17 +0800 (GMT+08:00) Subject: Connectionists: Call for ICMI 2021 Multimodal Grand Challenges Message-ID: <25be6aeb.81b.176dfe6dc0b.Coremail.jiangdm@nwpu.edu.cn> Call for Multimodal Grand Challenges *************************************** ICMI 2021: Call for Multimodal Grand Challenges http://icmi.acm.org/2021/index.php?id=challenges 18-22 Oct 2021, Montreal, Canada *************************************** We are calling for teams to propose one or more ICMI Multimodal Grand Challenges. The International Conference on Multimodal Interaction (ICMI) is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. Developing systems that can robustly understand human-human communication or respond to human input requires identifying the best algorithms and their failure modes. In fields such as computer vision, speech recognition, computational (para-) linguistics and physiological signal processing, for example, the availability of datasets and common tasks have led to great progress. We invite the ICMI community to collectively define and tackle the scientific Grand Challenges in our domain for the next 5 years. ICMI Multimodal Grand Challenges aim to inspire new ideas in the ICMI community and create momentum for future collaborative work. Analysis, synthesis, and interactive tasks are all possible. Challenge papers will be indexed in the main proceedings of ICMI. We invite organizers from various fields related to multimodal interaction to propose and run Grand Challenge events. We are looking for exciting and stimulating challenges including but not limited to the following categories: - Dataset-driven challenge: This challenge will provide a dataset that is exemplary of the complexities of current and future multimodal problems, and one or more multimodal tasks whose performance can be objectively measured and compared in rigorous conditions. Participants in the Challenge will evaluate their methods against the challenge data in order to identify areas of strengths and weaknesses. - Use-case challenge: This challenge will provide an interactive problem system (e.g. dialog-based or non-verbal-based) and the associated resources, which can allow people to participate through the integration of specific modules or alternative full systems. Proposers should also establish systematic evaluation procedures. - Health challenge: This challenge will provide a dataset that is exemplary of a health related task, whose analysis, diagnosis, treatment or prevention can be aided by Multimodal Interactions. The challenge should focus on exploring the benefits of multimodal (audio, visual, physiological, etc) solutions for the stated task. - Policy challenge: Legal, ethical, and privacy issues of Multimodal Interaction systems in the age of AI. The challenge could revolve around opinion papers, panels, discussions, etc. Prospective organizers should submit a five-page maximum proposal containing the following information: 1. Title 2. Abstract appropriate for possible Web promotion of the Challenge 3. Distinctive topics to be addressed and specific goals 4. Detailed description of the Challenge and its relevance to multimodal interaction 5. Length (full day or half day) 6. Plan for soliciting participation 7. Description of how submissions (challenge?s submissions and papers) will be evaluated, and a list of proposed reviewers 8. Proposed schedule for releasing datasets (if applicable) and/or systems (if applicable) and receiving submissions 9. Short biography of the organizers (preferably from multiple institutions) 10. Funding source (if any) that supports or could support the challenge organization 11. Draft call for papers; affiliations and email address of the organisers; summary of the Grand Challenge; list of potential Technical Program Committee members and their affiliations, important dates Proposals will be evaluated based on originality, ambition, feasibility, and implementation plan. A Challenge with dataset(s) or system(s) that has had pilot results to ensure its representativity and suitability to the proposed task will be given preference for acceptance; an additional 1 page description must be attached in such case. Continuation of or variants on the 2019 challenges are welcome, though we ask for submissions of this form to highlight the number of participants that attended during the previous year and describe what changes (if any) will be made from the previous year. The ICMI organizers will offer support with basic logistics, which includes rooms and equipment to run the Workshop, coffee breaks can be offered if synchronised with the main conference. Important Dates and Contact Details Proposals due: January 27, 2021 Proposal notification: February 3, 2021 Paper camera-ready: August 17, 2021 Grand challenge date: October 18 or 22, 2021 Proposals should be emailed to both ICMI 2021 Multimodal Grand Challenge Chairs, Jean-Marc Odobez and Dirk Heylen via icmi2021-challenge-chairs at acm.org. Prospective organizers are also encouraged to contact the co-chairs if they have any questions. Proposals are due by January 27, 2021. Notifications will be sent on February 3, 2021. ------------------------------------------------------------------------------- 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 drobotnik at fb.com Thu Jan 7 15:39:11 2021 From: drobotnik at fb.com (Nick DePalma) Date: Thu, 7 Jan 2021 20:39:11 +0000 Subject: Connectionists: HRI Workshop on Nonverbal Human-Robot Interaction In-Reply-To: References: Message-ID: You are invited to submit your research on Nonverbal Human-Robot Interaction (nHRI) to this year?s HRI Workshop on Exploring Applications for Autonomous Non-Verbal Human-Robot Interactions. Two deadlines: January 24, 2021 & February 21, 2021 Website: https://sites.google.com/view/non-verbal-hri-2021/home Nonverbal Human-Robot Interaction (nHRI) encompasses factors such as: gaze, gesture, touch, body language, the expression of affect, paralinguistics, and facial expression. nHRI has advanced beyond theoretical and computational contributions. Progress has been made through a variety of user studies and laboratory experiments as well as practical efforts such as integration of nonverbal inputs with other HRI modalities including domain specific implementations. This workshop seeks to promote collaboration between two threads of research: experimental nHRI, and application domains that can benefit from its use. The workshop will link researchers working on new approaches to nHRI in the laboratory to applied roboticists who present challenges in specific domains, such as: service robots, field robotics, socially-assistive robotics, and human-robot collaborative work that could benefit from richer nHRI. This workshop will draw participation from diverse areas to evaluate best practices and integration efforts across different research domains. We will target a broad, cross-disciplinary audience, and provide a venue for recent efforts related to multimodal interaction, system integration, data collection, and user studies. The workshop will comprise three focus areas: 1) Theory, User Studies, and Laboratory Experimentation; 2) Applications and Application Domains; and 3) Domain-Specific Challenges. Papers will include short work-in-progress and position papers (2-4 pages) and long-format integration and experimental papers (4-6 pages). This workshop will facilitate cross-pollination from disparate efforts and improve our collective ability to evaluate future nHRI contributions. Please see our website for more details. Important Dates: January 24: Submission deadline for notification before early registration January 28: Notification for first deadline January 31: Deadline for early registration February 21: Submission deadline for any remaining papers March 1: Notification for second deadline March 8: ACM/IEEE Conference on Human-Robot Interaction Workshop date: TBD - The day before or the day after HRI Relevant topics include (but are not limited to): - Advantages of systems that leverage nHRI in teamwork, companionship, and other applications - Theories and perspectives of non-verbal communication - Exchange of gesture - Studies of the interpretation of gesture and facial expression - Microexpressions and affect - Theory of mind approaches to non-verbal communication - Variations across cultures of nonverbal expression - Physical, mental, age, and gender specific expressions On behalf of the organizing committee, -- Nick DePalma - Visiting Scientist, Facebook AI Research (FAIR), Pittsburgh Justin Hart - Assistant Professor of Practice, The University of Texas at Austin Bradley Hayes - Assistant Professor, The University of Colorado Boulder Karl Kruusam?e - Associate Professor, The University of Tartu Reuth Mirsky - Postdoctoral Researcher, The University of Texas at Austin Mitch Pryor - Senior Research Scientist, University of Texas at Austin Xuesu Xiao - Postdoctoral Researcher, The University of Texas at Austin -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Thu Jan 7 10:18:14 2021 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Thu, 7 Jan 2021 15:18:14 +0000 Subject: Connectionists: Cognitive Neuroscience Research positions in Coimbra Portugal - open call for 2021 Message-ID: The Proaction Laboratory (Jorge Almeida's lab; proactionlab.fpce.uc.pt) at the University Coimbra Portugal is looking for Researchers at different levels of their career from newly phd graduates, to assistant, associate or full level researchers to be part of the lab in a joint competitive application to a Portuguese Science Foundation (FCT) independent researcher call. We particularly encourage applications from women, and from underrepresented groups in academia. The applicants should have an interest on cognitive neuroscience, vision science and preferably (but not limited to) object recognition, conceptual processing, and action and perception. We are particularly interested in motivated and independent Researchers addressing these topics with strong expertise in behavioral, motion tracking, neuromodulation, fMRI and/or EEG approaches (in particular Multivariate EEG decoding, and EEG/fMRI multimodal approaches). Good programming skills, great communication and mentoring skills, and a great command of English are a plus. The applicant and the lab will work on a competitive project to be submitted. Results from the application are expected to be out in October/November 2020. The application deadline is around February 29. The positions are as independent researchers in the Proaction Lab, are for 6 years, and the salary is the same as the Portuguese payroll for University Professors (net values for junior, assistant, associate positions, for instance are approximately 1500, 1900 and 2100 euros per month in a 14 month salary per year; these are competitive salaries for the cost of living in Portugal and especially in Coimbra). The Proaction Lab is currently very well funded as we have a set of on-going funded projects including a Starting Grant ERC to Jorge Almeida and several FCT projects. We have access to a 3T MRI scanner with a 64-channel coil (with EEG inside the scanner), to tDCS, and to a fully set psychophysics lab. We have a 256 ch EEG, motion tracking and eyetracking on site. We also have a science communication office dedicated to the lab. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. The deadline for this pre-application is January 30, but you should apply as soon as you can - the sooner the better so that we can prepare the application. If interested send an email to jorgecbalmeida at gmail.com, with a CV, and motivation/scientific proposal letter. If there is a fit, we will jointly apply to these positions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From boris.gutkin at ens.fr Thu Jan 7 11:49:16 2021 From: boris.gutkin at ens.fr (boris gutkin) Date: Thu, 7 Jan 2021 17:49:16 +0100 Subject: Connectionists: Fully funded doctoral position at Ecole Normale Superieure and CentraleSupelec Paris in AI/Cognitive Computational Neuroscience/Quantitative Finance from fall 2021 References: <90E1AE14-46E6-4B6D-BD91-9CF44DC76A24@ens.fr> Message-ID: Fully funded doctoral position in multi-agent modelling of financial markets and cognitive computational neuroscience. Laboratory for Cognitive and Computational Neuroscience at the Ecole Normale Superieure Paris and the Chair for Quantitative Finance at CentraleSupelec are looking for exceptional candidates to work on a doctorate as a part of a collaborative project spanning development of multi-agent models of stock markets (e.g. see Lussange et al 2020, Bavard et al 2018, da Gamma Battista 2017) and the effects of human cognitive traits and bounded rationality on the market dynamics. The candidate will be physically based at ENS. The student will be advised by Damien Challet (Chair for Quantative Finance, CentraleSupelec) and Boris Gutkin (Mathematics of Neural Circuits Team, LNC2, ENS) and collaborate closely with Stefano Palminteri (Human Reinforcement Learning Team, LNC2, ENS). The student will have an opportunity to be involved in all aspects of the project, from computational modelling to behavioral experiments to data mining. Industrial applications of the project outcomes can also be explored as well as a potential collaboration with Capital Fund Management, Paris. More information can be found at: https://psl.eu/recherche/grands-projets-de-recherche/projets-europeens/programme-doctoral-ai4thesciences https://euraxess.ec.europa.eu/jobs/580403 Start expected in fall 2021. Elibigibility: Master?s degree or equivalent in a quantitative discipline. There is no nationality or age criteria, but applicants must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately before the deadline of the call Interested candidates should contact boris.gutkin at ens.fr before January 30 to discuss their application to the program Bavard S, *Lebreton M, Khamassi M, Coricelli G, Palminteri S. Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences . Nature Communications (2018). da Gama Batista, Joao, Domenico Massaro, Jean-Philippe Bouchaud, Damien Challet, and Cars Hommes. "Do investors trade too much? A laboratory experiment." Journal of Economic Behavior & Organization 140 (2017): 18-34. Lussange, J., Lazarevich, I., Bourgeois-Gironde, S., Palminteri, S., Gutkin, B. (2020) Modelling Stock Markets by Multi-agent Reinforcement Learning. Comput Econ. https://doi.org/10.1007/s10614-020-10038- w -------------- next part -------------- An HTML attachment was scrubbed... URL: From boris.gutkin at ens.fr Thu Jan 7 11:51:36 2021 From: boris.gutkin at ens.fr (boris gutkin) Date: Thu, 7 Jan 2021 17:51:36 +0100 Subject: Connectionists: Postdoctoral Positions in Theoretical Neuroscience, Higher School of Economics, Moscow Russia FEB 14 DEADLINE In-Reply-To: <894378A6-C081-4FE3-950D-A0004DF40C22@ens.fr> References: <894378A6-C081-4FE3-950D-A0004DF40C22@ens.fr> Message-ID: <1853032F-4F96-4232-A696-C28086BCF612@ens.fr> Post-doctoral position in Theoretical Neuroscience DEADLINE 14 February More Information: https://iri.hse.ru/theoretical_neuroscience2021 Application link: https://iri.hse.ru/polls/323647081.html The Higher School of Economics Centre for Cognition & Decision Making of the Institute of Cognitive Neuroscience in Moscow, Russia, invites applications for postdoctoral research positions in computational and mathematical approaches to understanding neural function and cognition at Theoretical Neuroscience Group (TNG). Research interests of the TNG at the Centre for Cognition and Decision Making are wide ranging, carried out in collaboration with the experimental labs at the Center. Current research topics include computational psychiatry, computational neuroeconomics, information processing in neurons and circuits, as well as role of oscillations in cognition. The candidate will have the opportunity to further define and expand the Group?s research programme. We are seeking highly qualified and motivated candidate with backgrounds in quantitative disciplines: applied mathematics, physics, computer science or engineering. Knowledge of biology, neuroscience and ability to work with data is highly desired. Candidates will be trained in model building, analysis and will be offered advanced training in neuroscience and cognitive psychology. Candidates will have an opportunity to develop independent research projects and collaborations under the direction of the group leading scientists. The TNG is a structural part of the HSE?s Centre for Cognition & Decision Making with ample collaboration opportunities within the Centre with other research groups, both within Russia and internationally. This new international group is tightly linked with the Group for Neural Theory at the Ecole Normale Superior in Paris, where research internships and visiting positions can be made available. Application Process Applications must be submitted online. Please provide a CV, a statement of research interest and a recent research paper submitted via an online application form. At least two letters of recommendation should be sent directly to the International Faculty Recruitment Office at fellowship at hse.ru before the application deadline. Please note that direct applications to the hiring department may not be reviewed. More information can be also obtained from bgutkin at hse.ru -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicola.bellotto at gmail.com Fri Jan 8 04:59:01 2021 From: nicola.bellotto at gmail.com (Nicola Bellotto) Date: Fri, 8 Jan 2021 09:59:01 +0000 Subject: Connectionists: [jobs] Postdoc/PhD in Robotics and AI @ University of Lincoln, UK Message-ID: The University of Lincoln is seeking to appoint a Postdoctoral Research Associate and a PhD student to join the School of Computer Science and the Lincoln Centre for Autonomous Systems (L-CAS). These positions are externally funded by the Horizon 2020-funded project "Dynamic Agile production Robots that learn and optimise Knowledge and Operations" (DARKO). The project aims to develop a new generation of agile intralogistics robots with energy-efficient actuators for highly dynamic motion, which can operate safely within changing environments, have predictive planning capabilities, and are aware of human intentions. The University of Lincoln will lead the project?s work package on Human-Robot Spatial Interaction (HRSI), including tasks for qualitative spatial modelling of human motion and causal inference for safe human-robot interaction. It will also contribute to other tasks for multi-sensor perception, human motion prediction, and robot intent communication. The successful candidates will be expected to conduct original research in the area of the project, including (but not limited to) the following topics: - causal inference and probabilistic methods for autonomous robots; - qualitative spatial reasoning for human-robot interaction; - machine learning for robot perception and navigation. The postdoc candidate should have, or expect to soon obtain, a PhD in a relevant area. The student candidate instead should have, as a minimum, an upper second-class honours degree in a relevant area. Both must possess excellent mathematical and coding skills (C++/Python). Some experience with ROS or other relevant software libraries is a plus. Both posts are funded for 3 years, with excellent opportunities for career development and progression. The roles offer also the opportunity to engage in international collaborations within an ambitious and diverse team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions at the leading international conferences and journals. For more details, including how to apply: - Postdoc application: https://jobs.lincoln.ac.uk/vacancy.aspx?ref=COS803 - PhD scholarship: https://euraxess.ec.europa.eu/jobs/592590 - Project: https://cordis.europa.eu/project/id/101017274 Informal enquiries can be made to Dr Nicola Bellotto (email: nbellotto at lincoln.ac.uk). -- Nicola Bellotto, PhD Associate Professor School of Computer Science University of Lincoln Brayford Pool Lincoln, LN6 7TS United Kingdom Tel: +44 (0)1522 886080 https://lncn.ac/nbellotto -------------- next part -------------- An HTML attachment was scrubbed... URL: From eb-ballester at bournemouth.ac.uk Fri Jan 8 06:24:00 2021 From: eb-ballester at bournemouth.ac.uk (Emili Balaguer-Ballester) Date: Fri, 8 Jan 2021 11:24:00 +0000 Subject: Connectionists: Research Topic: Early Neural Processing of Musical Melodies Message-ID: New research topic in Frontiers in Human Neuroscience:" Early Neural Processing of Musical Melodies" https://www.frontiersin.org/research-topics/17250/early-neural-processing-of-musical-melodies Tracking the pitch contour in a musical melody requires processing of multiple auditory cues at multiple time constants - how does the brain produce precise and reliable representations of those cues in such a seemingly effortless manner? In recent years, melody processing has been studied from various perspectives, including computational modeling and psychophysics as well neurophysiological experiments. This research has focused on organizational mechanisms ranging from the note-to-note level (e. g., absolute versus relative pitch) to more holistic aspects regarding adaptive (e. g., predictive coding) and Gestalt-like principles. Moreover, the proportion of bottom-up versus top-down processing and the role of the listener's musicality have also been considered. However, an integrative view on melody processing, combining the above-described approaches, is just beginning to evolve in the auditory community. The aim of this Research Topic is to bridge the gaps between neurophysiology, psychophysics and auditory modeling, in an effort to elucidate the interrelations between melodic and neural structures. Our main focus is on the early transient and sustained auditory cortical response to musical melodies, measured with electro-/magnetoencephalography (EEG/MEG); we are interested in studies that relate this activity to psychophysical observations (e. g., absolute versus relative pitch, perceptual grouping) and to computational models of auditory processing operating at multiple time scales (from single-note level to complex statistical regularities). Moreover, we invite studies that assess bottom-up and top-down influences on early melody processing; this may involve subcortical input (e. g., frequency-following responses) as well as contributions from higher regions (e. g., oscillatory coupling with frontal areas, functional imaging of large-scale cortical networks). Finally, research that investigates the impact of individual musical expertise on different stages of neural melody processing is particularly welcome; the same also applies to Review, Opinion and Perspective articles which provide an integrative methodological view on our Topic. Submission Deadlines: Abstract: 28 February 2021 Manuscript: 30 June 2021 https://www.frontiersin.org/research-topics/17250/early-neural-processing-of-musical-melodies ________________________________ BU is a Disability Confident Employer and has signed up to the Mindful Employer charter. Information about the accessibility of University buildings can be found on the BU AccessAble webpages. This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mwcole at mwcole.net Fri Jan 8 09:02:42 2021 From: mwcole at mwcole.net (Michael W. Cole) Date: Fri, 8 Jan 2021 09:02:42 -0500 Subject: Connectionists: Postdoctoral training in combining predictive computational modeling with human neuroimaging, focusing on brain connectivity and cognition Message-ID: *Postdoctoral training in combining predictive computational modeling with human neuroimaging, focusing on brain connectivity and cognition* We are looking for a highly motivated and talented scientist to join the Cole Neurocognition Lab (http://www.colelab.org) as a postdoctoral researcher. We are developing and applying exciting new approaches to understanding human brain organization and dynamics. These continuously evolving approaches are then applied to understand the neural basis of cognition, psychiatric diseases, and aging/development. Special emphasis is placed on highly flexible cognition, such as cognitive control, learning, reasoning/decision-making, and general intelligence. Computational expertise, such as with machine learning, computational neuroscience, control theory, and/or software engineering are especially desirable. Possible training in neuroimaging analysis include fMRI, EEG/MEG, tCS, TMS, and fusion approaches across modalities using computational models. Additional training is possible in computational neuroscience with neural mass models and deep learning models (artificial general intelligence and data-driven discovery of neural information transformations). The position will be at Rutgers University in Newark, NJ (13 miles from New York City) and located in a recently renovated laboratory space in the Center for Molecular and Behavioral Neuroscience (CMBN), in the same building as the Rutgers University Brain Imaging Center. The position includes competitive salary and Rutgers University's excellent benefits package. The Cole Neurocognition Lab is a fun, friendly, and hard-working environment where one can interact with and learn from experts in cognitive neuroscience, cognitive psychology, network science, and computational neuroscience, in addition to other related fields. Interactions with colleagues in other labs (and at nearby universities (NYU, NJIT, Penn, Princeton, Temple, Columbia) take the form of collaborations, seminars, social events, and regular meetings of the Integrative Neuroscience Discussion Group and the Newark Brain Connectivity Group. For more information on the lab's research visit http://www.colelab.org/ Start date is flexible, but is anticipated to be between January 2021 and September 2021. Applicants will be reviewed on an on-going basis until the position is filled. Email Michael Cole (mwcole at mwcole.net) if you are interested in the position. More information is available here: https://www.colelab.org/openpositions/ColeNeurocognitionLabPostdocSearch_2021.pdf and here: https://www.colelab.org/ Michael -- Michael W. Cole, Ph.D. Associate Professor The Cole Neurocognition Lab (http://www.colelab.org) Center for Molecular & Behavioral Neuroscience Rutgers University ? Newark -------------- next part -------------- An HTML attachment was scrubbed... URL: From dpinots at yahoo.com Fri Jan 8 10:10:40 2021 From: dpinots at yahoo.com (Dimitris Pinotsis) Date: Fri, 8 Jan 2021 15:10:40 +0000 (UTC) Subject: Connectionists: Post Doc on AI and Behavior in London References: <516217218.175845.1610118640083.ref@mail.yahoo.com> Message-ID: <516217218.175845.1610118640083@mail.yahoo.com> Post Doc on AI and Behavior in London ? The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at University of London?City is looking for a Post Doc with a strong background in AI/?Machine?Learning ?and?Behavioral?Science. ? The Lab focuses on developing new algorithms for the analysis of behavioral data and human and animal brain imaging data. These are based on computational models of neural dynamics and state of the art machine learning techniques. Particular emphasis is put on applications?in Computational Neuroscience and Psychiatry and developing models of human behavior and brain pathology. Also, the Lab develops brain theories that can explain brain function, using theoretical tools from deep neural networks and Bayesian brain theories. The lab also?performs EEG recordings. ? The Post Doc shall conduct research at the intersection of human behavior and machine learning. She or he will build computational tools using state of the art machine learning algorithms.?The position has an initial duration of 6 months. ? The successful candidate should have a PhD in machine learning, psychology, computational neuroscience, engineering or a related field. Expertise in one or more modern scientific computing programming language (Python, Matlab or R) is essential. Experience with?large databases, SQL methods for data storage, web architectures and API development is an advantage. ?? For informal inquiries, please email Dr. Dimitris Pinotsis at?pinotsis at mit.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Sat Jan 9 00:39:05 2021 From: doya at oist.jp (Kenji Doya) Date: Sat, 9 Jan 2021 05:39:05 +0000 Subject: Connectionists: Neural Networks Special Issue on Artificial Intelligence and Brain Science: deadline extended to Feb 1st In-Reply-To: References: <45c950987a4f4790a654560b11d1203e@OSBPR01MB2821.jpnprd01.prod.outlook.com> <9484abc760404e36956ecf0de874cbc3@OSBPR01MB2821.jpnprd01.prod.outlook.com> Message-ID: Given multiple requests, we are extending the submission deadline for this special issue to Monday February 1st. We welcome your contributions in brain-inspired AI and AI applications to neuroscience and neurotechnology. ******** Building on the big success of the International Symposium on Artificial Intelligence and Brain Science (AIBS 2020) http://www.brain-ai.jp/symposium2020/ we are organizing a Neural Networks Special Issue on Artificial Intelligence and Brain Science: https://www.journals.elsevier.com/neural-networks/call-for-papers/special-issue-on-artificial-intelligence-and-brain-science This special issue features perspective articles based on the discussions at AIBS 2020 and aims to capture recent advances in the crossing forefront of AI and neuroscience. We call for submissions of papers aiming at fruitful fusion of AI and brain science. Topics of interest include, but are not limited to: ? Brain-inspired Artificial Intelligence ? Deep Learning ? Reinforcement Learning ? World Model Learning and Inference ? Metacognition and Metalearning ? AI for Neuroscience ? Neuromorphic Technologies ? Social Impact and Ethics of Neuro-AI Technologies Prospective authors should submit their manuscripts online at https://www.editorialmanager.com/NEUNET/default.aspx ? Manuscript submission due: February 1, 2021 ? First review completed: April 15, 2021 ? Revised manuscript due: June 15, 2021 ? Final decisions to authors: July 15, 2021 Guest Editors: Kenji Doya, Okinawa Institute of Science and Technology (ncus at oist.jp) Karl Friston, University College London Masashi Sugiyama, RIKEN AIP and The University of Tokyo IRCN Josh Tenenbaum, Massachusetts Institute of Technology ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From perusquia at ieee.org Sat Jan 9 01:15:27 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Sat, 9 Jan 2021 15:15:27 +0900 Subject: Connectionists: First call for Tutorials (ACII21) Message-ID: ======================================================= Affective Computing and Intelligent Interaction (ACII) 2021 Call for Tutorial Proposals 28 Sep ? 1 Oct 2021, Nara, Japan http://www.acii-conf.net/2021/ ======================================================= The Conference series on Affective Computing and Intelligent Interaction (ACII) is the premier international forum for interdisciplinary research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. It is an interdisciplinary field spanning computer science, psychology, and cognitive science. Affective Computing aims at the study and development of systems and devices that use emotion. The theme of the 2021 edition of the conference is ?Ethical Affective Computing? considering ethical uses, fairness, and bias in emotional AI. We encourage tutorial proposals which address topics of affective computing and intelligent interaction in introductory or advanced levels to complement the conference?s program. In general, tutorials may introduce an uprising issue to the related research discussed at ACII 2021, or reflect an overview of an important, but already established topic, both presented in an illustrative fashion. For this, we expect that the tutors focus on the state-of-the-art or the main ideas of the proposed topic rather than primarily on the presenters? own research interests. Tutorials oriented toward more applied aspects of affective computing and intelligent interaction are also welcome, such as the presentation of tools and methodologies common for the processing of affective data. The tutorials can be organised as either half-day (preferred) or full-day events and will take place at the same venue as the main conference. The proposals will be evaluated based on the impact, quality, interdisciplinary character, presentation format as well as the theme and relevance to the conference. Proposal Submission Instructions Tutorial proposals should not exceed 4 pages and have to be emailed to Shogo Okada and Guillaume Chanel. Please use ?[ACII2021] Tutorial Proposal? in the subject line. All proposals should be prepared in PDF providing the following information: - Tutorial Title - Duration: half-day, full-day Note: Half-day (3h) tutorials are preferred and are the common ACII tutorial format; Full-day (6h) tutorial proposals have to justify for the additional value - Presenter(s) Name and Affiliation - Contact Information of the Tutorial Organiser - Description of the Proposal (including a few relevant references and links to material useful for review) - Explanation of Relevance of the Proposed Tutorial - Description of Presentation Format and Style (several presenters, video conferencing, specific media, etc.) - Equipment required for the Tutorial - CV of Presenter(s) - Key Publications of Presenter(s) (especially on the Tutorial Topic) - Target Audience (e.g. early-stage or advanced researchers in the field, students, etc.) - Provided accompanying Material (specific requirements) - Other Considerations/Comments related to the Proposal or the Reviewing The tutorial organisers will take care of any specific requirements which are related to the tutorial such as specific handouts, mass storages, rights of distribution (material, handouts, etc.), copyrights, etc. **Important Dates** Tutorial Proposal Deadline: May 10, 2021 Tutorial Acceptance Notification: May 31, 2021 Tutorial day: September 28, 2021 Tutorial Contacts Please forward any questions about tutorial proposals to the tutorial chairs: Shogo Okada: [okada-s_at_jaist.ac.jp] Guillaume Chanel: [guillaume.chanel_at_unige.ch] -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.bunte at rug.nl Sun Jan 10 06:18:16 2021 From: k.bunte at rug.nl (Kerstin Bunte) Date: Sun, 10 Jan 2021 12:18:16 +0100 Subject: Connectionists: PhD position in Machine learning with dynamic models Message-ID: <3b14f45d-ce52-5152-3780-1f75cbec327e@rug.nl> Dear colleagues, The Computer Science department at the University of Groningen in the Netherlands has a PhD position for interested candidates on "Machine Learning with dynamic models". We are accepting applications until March 1 2021. More information can be found under the following link: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S00081YP Kind regards, Kerstin Bunte -- Kerstin Bunte, Assistant Professor | Rosalind Franklin Fellow Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence Faculty of Science and Engineering University of Groningen P.O. Box 407, 9700 AK Groningen The Netherlands Email: k.bunte at rug.nl Phone: +31 (0)50 363 3966 web: http://www.cs.rug.nl/~kbunte/ From O.Inel at tudelft.nl Mon Jan 11 02:55:33 2021 From: O.Inel at tudelft.nl (Oana Inel) Date: Mon, 11 Jan 2021 07:55:33 +0000 Subject: Connectionists: ACM UMAP 2021: Third Call-for-Papers - Updated submission information Message-ID: <8B71972B-3589-4E02-823E-B94E436708C3@tudelft.nl> --- Apologies for cross-posting --- ???? Updated Submission and Review Process Information ???? ============================ Call for Papers - ACM UMAP 2021 29th ACM International Conference on User Modeling, Adaptation and Personalization Theme: "Re-Evaluating Evaluation in Personalization Research" Hybrid: Utrecht (The Netherlands) and Online June 21-25th (tentative), 2021 Website: https://www.um.org/umap2021/ ============================ Abstracts due: January 17, 2021 (mandatory) Full paper due: January 24, 2021 ============================ BACKGROUND AND SCOPE: ============================ ACM UMAP ? User Modeling, Adaptation and Personalization ? is the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB, and organized with User Modeling Inc. as the core Steering Committee, extended with past years? chairs. The proceedings are published by ACM and will be part of the ACM Digital Library. ACM UMAP covers a wide variety of research areas where personalization and adaptation may be applied. This includes a number of domains in which researchers are engendering significant innovations based on advances in user modeling and adaptation, recommender systems, adaptive educational systems, intelligent user interfaces, e-commerce, advertising, digital humanities, social networks, personalized health, entertainment, and many more. We welcome submissions related to user modeling, personalization and adaptation; the conference web site provides a detailed list. Below we present a short (but not proscriptive) list of topics of importance to the conference. As the theme for UMAP 2021 is ?Re-Evaluating Evaluation? we encourage submissions in all areas that offer a critical analysis of evaluations of personalized systems. We particularly want to acknowledge that some of the research might be influenced by Covid-19 related constraints (e.g., difficulty of running lab studies), and welcome submissions which introduce novel methodologies arising from a need to conduct research in new ways. CONFERENCE TOPICS: ============================ We welcome submissions related to user modeling, personalization and adaptation in any area. The topics listed below are not intended to limit possible contributions. Final decisions will be made on the basis of suitability for, and fit to, the overall conference (not for specific tracks). Additionally, there is no quota for the maximal number of accepted papers per track. Topics include (but are not limited to): ? Personalized Recommender Systems ? Track chairs: Alejandro Bellogin, Sole Pera, Ludovico Boratto ? Adaptive Hypermedia and the Semantic Web ? Track chairs: Maria Bielikova, Panagiotis Germanakos, Ben Steichen ? Intelligent User Interfaces ? Track chairs: Katrien Verbert, Denis Parra ? Personalized Social Web ? Track chairs: Julita Vassileva, Jie Zhang ? Technology-Enhanced Adaptive Learning ? Track chairs: Ella Haig, Manolis Mavrikis ? Fairness, Transparency, Accountability, and Privacy ? Track chairs: Christine Bauer, Michael Ekstrand ? Personalization for Persuasive and Behavior Change Systems ? Track chairs: Jaap Ham, Rita Orji SUBMISSION AND REVIEW PROCESS ============================ Papers will be submitted through EasyChair: https://easychair.org/conferences/?conf=acmumap2021 Long (14 pages + references) and Short (7 pages + references) papers in the new ACM single-column style. Appendices count toward the page limit, we recommend that supplementary material is linked to an external source using an anonymised URL. Original research papers addressing the theory and/or practice of UMAP, and papers showcasing innovative use of UMAP and exploring the benefits and challenges of applying UMAP technology in real-life applications and contexts are welcome. * Long papers should present original reports of substantive new research techniques, findings, and applications of UMAP. They should place the work within the field and clearly indicate its innovative aspects. Research procedures and technical methods should be presented in sufficient detail to ensure scrutiny and reproducibility. Results should be clearly communicated and implications of the contributions/findings for UMAP and beyond should be explicitly discussed. * Short papers should present original and highly promising research or applications. Merit will be assessed in terms of originality and importance rather than maturity, extensive technical validation, and user studies. Separation of long and short papers will be strictly enforced so papers will not compete across categories, but only within each category. Papers must be formatted according to the new workflow for ACM SIG publications. The templates and instructions are available here: Standard (SIGCONF) proceedings template: https://www.acm.org/publications/taps/word-template-workflow. Authors should submit their papers as single-column. The templates are available here (we strongly recommend the usage of LaTeX for the camera-ready papers to minimize the extent of reformatting): * LaTeX (use \documentclass[manuscript,review,anonymous]{acmart} in the sample-authordraft.tex file for single-column): https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-master.zip * Overleaf (use\documentclass[manuscript,review,anonymous]{acmart} for single-column): https://www.overleaf.com/latex/templates/acm-conference-proceedings-master-template/pnrfvrrdbfwt * MS Word: https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx NB: Accepted papers will require a further revision in order to meet the requirements and page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the papers will be provided after acceptance. UMAP uses a double blind review process. Authors must omit their names and affiliations from submissions, and avoid obvious identifying statements. For instance, citations to the authors' own prior work should be made in the third-person. All accepted papers will be published by ACM and will be available via the ACM Digital Library. To be included in the Proceedings, at least one author of each accepted paper must register for the conference and present the paper there. Student registration fee is allowed for students who present a student paper. IMPORTANT DATES ============================ Abstracts: January 17, 2021 (mandatory) Full paper: January 24, 2021 Notification: March 8, 2021 Camera-ready: April 11, 2021 Video submission: May 5th, 2021 Conference: June 21-June 25, 2021 (tentative) Note: The submissions times are 11:59pm AoE time (Anywhere on Earth) ORGANIZERS ============================ General chairs Judith Masthoff, University of Utrecht Eelco Herder, Radboud Universiteit Nijmegen Program chairs Nava Tintarev, University of Maastricht Marko Tkalcic, University of Primorska RELATED EVENTS ============================ Separate calls will be sent for Workshops and Tutorials, Doctoral Consortium, and Demo/Late Breaking Results, as these have different deadlines and submission requirements. -------------- next part -------------- An HTML attachment was scrubbed... URL: From moritz.grosse-wentrup at univie.ac.at Mon Jan 11 05:23:20 2021 From: moritz.grosse-wentrup at univie.ac.at (Moritz Grosse-Wentrup) Date: Mon, 11 Jan 2021 11:23:20 +0100 Subject: Connectionists: [2nd BCI-UC] Submit an abstract before the start of the voting period on January 13th In-Reply-To: <5f10ced6-8983-5142-7a2c-a9d27911305e@univie.ac.at> References: <591cf8aa-c57b-8aad-1e57-23e2c7fbe9fc@univie.ac.at> <5f10ced6-8983-5142-7a2c-a9d27911305e@univie.ac.at> Message-ID: <2f2cfc40-6577-0f33-1467-be4d162e9d93@univie.ac.at> Dear all, This is a friendly reminder that voting on abstracts submitted to the 2nd Brain-Computer Interface Un-Conference begins on January 13th. To maximize your chances to present your work, please submit your abstract before the start of the voting period: https://bciunconference.univie.ac.at/2nd-bci-uc/ The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna H?rlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup at univie.ac.at +43-1-4277-79610 http://neural.engineering/ From bernabe.cfp at gmail.com Mon Jan 11 06:24:01 2021 From: bernabe.cfp at gmail.com (Bernabe Dorronsoro) Date: Mon, 11 Jan 2021 12:24:01 +0100 Subject: Connectionists: OLA'2021 - Deadline extension - International Conference on Optimization and Learning Message-ID: <720056E7-D9FC-4DF3-B59C-74AE49D51AC9@gmail.com> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** OLA'2021 International Conference on Optimization and Learning 21-23 June 2021 Catania (Sicilia), Italy http://ola2021.sciencesconf.org/ **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2021 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2021 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 10 pages Important dates: =============== Paper submission deadline Feb 05, 2021 Notification of acceptance March 24, 2021 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for best accepted long papers. All proceedings will be available at the conference. From jiangdm at nwpu.edu.cn Mon Jan 11 09:43:44 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Mon, 11 Jan 2021 22:43:44 +0800 (GMT+08:00) Subject: Connectionists: Second Call for ICMI 2021 Workshops Message-ID: *********************************************************************************** ICMI 2021: Call for Workshops https://icmi.acm.org/2021/index.php?id=CfW *********************************************************************************** The International Conference on Multimodal Interaction (ICMI 2021) will be held in in Montreal, Canada, October 18-22nd, 2021. ICMI is the premier international conference for multidisciplinary research on multimodal human-human and human-computer interaction analysis, interface design, and system development. ICMI has developed a tradition of hosting workshops in conjunction with the main conference to foster discourse on new research, technologies, social science models and applications. Examples of recent workshops include: - Media Analytics for Societal Trends - Neuromanagement and Intelligent Computing - Multi-sensorial Approaches to Human-Food Interaction - Multimodal e-Coaches - Group Interaction Frontiers in Technology - Modeling Cognitive Processes from Multimodal Data - Human-Habitat for Health - Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction - Investigating Social Interactions with Artificial Agents - Child Computer Interaction - Insights on Group & Team Dynamics - Multimodal Interaction for Education We are seeking workshop proposals on emerging research areas related to the main conference topics, and those that focus on multi-disciplinary research. We would also strongly encourage workshops that will include a diverse set of keynote speakers (factors to consider include: gender, ethnic background, institutions, years of experience, geography, etc.). The content of accepted workshops are under the control of the workshop organizers. Workshops may be of a half-day or one day in duration. Workshop organizers will be expected to manage the workshop content, solicit submissions, be present to moderate the discussion and panels, invite experts in the domain, conduct the reviewing process, and maintain a website for the workshop. Workshop papers will be indexed by ACM Digital Library in an adjunct proceedings, and a short workshop summary by the organizers will be published in the main conference proceedings. Submission Prospective workshop organizers are invited to submit proposals in PDF format (Max. 3 pages). Please email proposals to the workshop chairs: Akane Sano and Emily Mower Provost (icmi2021-workshop-chairs at acm.org) The proposal should include the following: - Workshop title - List of organizers including affiliation, email address, and short biographies - Workshop motivation, expected outcomes and impact - Tentative list of keynote speakers - Workshop format (by invitation only, call for papers, etc.), anticipated number of talks/posters, workshop duration (half-day or full-day) including tentative program - Planned advertisement means, website hosting, and estimated participation - Paper review procedure (single/double-blind, internal/external, solicited/invited-only, pool of reviewers, etc.) - Paper submission and acceptance deadlines - Special space and equipment requests, if any Important Dates: Workshop proposal submission: Monday, February 8, 2021 Notification of acceptance: Monday, February 22, 2021 Workshop papers due: End of July, 2021 (suggested) Workshop Date: October 18-22, 2021 ------------------------------------------------------------------------------- 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 terese at imse-cnm.csic.es Mon Jan 11 12:23:17 2021 From: terese at imse-cnm.csic.es (Teresa Serrano) Date: Mon, 11 Jan 2021 18:23:17 +0100 Subject: Connectionists: Special session: Bio-inspired circuits, systems and algorithms for multimedia - CBMI-2021 (Lille) Message-ID: <27b47c25-328f-203d-4018-bcefbd85363d@imse-cnm.csic.es> *Special session: Bio-inspired circuits, systems and algorithms for multimedia in conjunction with CBMI-2021 (June 28-30)* CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. The Special Session on bio-inspired circuits, systems and algorithms will be a mini-venue, focusing on the state-of-the-art and research direction of the emerging field of bio-inspired circuits, systems and algorithms and in the envisioned applications and breakthrough that the application of this bioinspired technology and algorithms can bring to the content-based multimedia indexing field development. Special session papers, which can be invited or submitted, will supplement the regular research papers and be included in the proceedings of CBMI 2021. The special session would include four to five papers, which can be invited, or regular submissions. In order to ensure the high quality of all conference papers, all papers submitted to the special session will be peer-reviewed through the standard review process, including invited papers. If the special session has many high-quality submissions, some of the submissions may potentially be moved to some regular sessions. Authors are encouraged to submit previously unpublished research papers including bioinspired circuits, systems and algorithms that address the use of the bioinspired technology and algorithms in the areas of search and retrieval, multimedia content management, user interaction, large-scale search, learning in retrieval, social media indexing and retrieval, surveillance and security. Other applications areas of interest to the CBMI community not listed above maybe considered. *Organizer *: Teresa Serrano Gotarredona, IMSE-CNM ?terese at imse-cnm.csic.es andcbmi2021-organisation at univ-lille.fr Submissions of papers for special sessions are open on EasyChair:https://easychair.org/conferences/?conf=cbmi2021. Please select the special session you apply to in the submission form. *STUDENT PARTICIPATION:* We strongly encourage students to participate in CBMI-21 event and submit their research. We strongly believe in their power, and they are the future of the research in content-based multimedia indexing. For these reasons and for the first time in the history of the conference, the 2021 edition of CBMI with support of ACM SIGMM (www.sigmm.org), will sponsor several students, authors of papers submitted and accepted by CBMI-21, and being corresponding author of a paper. The student status will be recognized only to PhDs and master students. Certain students will be totally sponsored, including registration fees, accommodations and travel expenses. Other students will be partly sponsored, including substantial reduction in the registration fees, no cut-backs to the students? conference experience, and budget accommodation options and arrangement for room sharing. Furthermore, in this edition, prizes will be awarded to the best student poster presentations of CBMI2021. All the participants registered to CBMI2021 as student will be automatically admitted to the selection for the awards. All the papers accepted as poster presentation by the Technical Program Committee (TPC), from students will be considered for the awards, given that a full-paper manuscript has been submitted. The student poster awards committee will evaluate the nominated contributions during the poster sessions of CBMI2021. The evaluation criteria will be independently established by the Committee before the conference and will take into account the scientific content as well as the technical quality of the posters. The Student Poster Awards will be announced during the Gala Dinner, on June 29th. *Instructions to authors:* Special sessions papers will be included in the CBMI proceedings like regular papers. The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of certain best papers of the conference will be invited to submit extended versions of their contributions to a special issue of a leading journal in the field (e.g. MTAP - Springer), and other best papers will be invited to submit extended versions of their contributions in a book (ISTE/WILEY publisher). -- Teresa Serrano Gotarredona Investigadora Cient?fica / Research Scientist Imagen Logo IMSE-CNM C/ Am?rico Vespucio, 28 Parque Cient?fico y Tecnol?gico Cartuja 41092 Sevilla. SPAIN Ph.: +34 954 466 666 ? Fax: +34 954 466 600 -------------- next part -------------- An HTML attachment was scrubbed... URL: From nguyensmai at gmail.com Mon Jan 11 16:08:53 2021 From: nguyensmai at gmail.com (Nguyen, Sao Mai) Date: Mon, 11 Jan 2021 22:08:53 +0100 Subject: Connectionists: [jobs] Fully funded Ph.D. position at Ecole Polytechnique (LIX) and IP Paris In-Reply-To: References: Message-ID: We have a fully funded Ph.D. position to work at the intersection of Robotics and Formal Methods on the CoLeSlAw project. Continuously Learning Complex Tasks via Symbolic Analysis (CoLeSlAw) -------------------------------------------------------------------------------- Fully autonomous robots have the potential to impact real-life applications, like assisting elderly people. Autonomous robots must deal with uncertain and continuously changing environments, where it is not possible to program the robot tasks. Instead, the robot must continuously learn new tasks. The robot should further learn how to perform more complex tasks combining simpler ones (i.e., a task hierarchy). This problem is called lifelong learning of hierarchical tasks. The existing learning algorithms for hierarchical tasks are limited in that: a) they require the robot to execute a large number of real actions to sample the continuous state space of observations, hence requiring a lot of time; b) they cannot deal with subspaces without continuous interpolation, as it is the case for a hierarchy of tasks. The goal of the Ph.D. project is to explore the use of set-based and symbolic reasoning for the continuous space to tackle the above challenges (e.g., reducing the number of samples required to learn a hierarchy of tasks and allow for more effective planning of the robot tasks, further handling discontinuities in the task hierarchies). The main outcome of the project will be an algorithmic framework to effectively explore task hierarchies and new reachability algorithms for data-oriented models, such as neural networks. A detailed description of the project is available online: http://www.sergiomover.eu/others/colesaw_description.pdf Candidate -------------------------------------------------------------------------------- The ideal candidate will have a Master degree in Computer Science, Computer Engineering, or Robotics, with a strong background in at least one topic among learning algorithms, robotics, planning, and formal methods (e.g., abstract interpretation, model checking). Deadlines -------------------------------------------------------------------------------- The Ph.D. will start as soon as possible and not later than June 1st 2021. We encourage the candidates to contact us before February 28th 2021 to receive full consideration. Work environment -------------------------------------------------------------------------------- The Ph.D. will be carried out in the Laboratoire d?informatique de ?cole Polytechnique (LIX), ?cole Polytechnique, and in the Computer Science and Systems Engineering Laboratory (U2IS), ENSTA Paris, ENSTA Paris. Doctoral School -------------------------------------------------------------------------------- ?cole Polytechnique and ENSTA Paris are part of the Institut Polytechnique de Paris (IPP) and the Ph.D. will be at in the IPP doctoral school ( https://www.ip-paris.fr/en/home-en/education/phd-programs/ip-paris-doctoral-school/ ). Contacts and application -------------------------------------------------------------------------------- To apply, please send a CV, a motivation letter and a transcript. For more information and to get the information to apply contact Sergio Mover, Cosynus Team, LIX and Ecole Polytechnique, sergio.mover polytechnique.edu Nguyen Sao Mai nguyensmai at gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr | Youtube | Twitter | ResearchGate | Hal > -------------- next part -------------- An HTML attachment was scrubbed... URL: From akirapunk at gmail.com Mon Jan 11 20:35:44 2021 From: akirapunk at gmail.com (Nicola Catenacci) Date: Tue, 12 Jan 2021 01:35:44 +0000 Subject: Connectionists: PhD in Machine Learning, Decision-making and Stochastic Control at the University of Hertfordshire, UK. Message-ID: [Apologies for multiple posts; please distribute to interested people!] We are looking for applicants for a fully funded Phd (annual scholarship GBP 15,285) in the areas of Machine Learning, Decision-making and Stochastic Control at the Computer Science Department of the University of Hertfordshire, United Kingdom. *PhD Project* Recent progress in Artificial Intelligence has allowed computer scientists to solve problems that were considered unsolvable only a decade ago. The combination of Machine Learning, decision-making and stochastic control is at the heart of this success. In this project, the student will have the opportunity to master the latest techniques in reinforcement learning (RL) and contribute to design novel RL algorithms using deep learning (i.e., deep reinforcement learning) and probabilistic methods of Machine Learning (e.g, Bayesian inference or information theory). Possible topics of the project are meta-learning, meta-control and hierarchical aspects of RL, aiming at the design of agents with limited computational resources that can solve complex tasks in real-time scenarios. The applications used to benchmark the developed algorithms will include computer games or (simulated) robotic scenarios such as manipulation or intelligent autonomous vehicles. Applications including physical robots may be considered and carried out in conjunction with other labs. *Requirements* We are looking for a student with genuine interest in Artificial Intelligence. A background in computer science, engineering or mathematics, together with solid programming skills, are essential requirements. Experience in reinforcement learning, deep learning or robotics are not mandatory but desirable, and will be considered a plus during the selection process. The applicant will be expected to disseminate her/his work publishing scientific articles and/or participating at international conferences. To be fluent in English is mandatory. **Where** The PhD will take place in the SEPIA Lab (Sensor, Evolution, Processing, Information and Actuation), within the Adaptive System group of the CS department. The Lab is specialised in probabilistic approaches to Artificial Intelligence, used for a wide range of applications such as robotics, video-games and cognitive modelling. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the REF 2014, with 50% of the research submitted rated as internationally excellent or world leading.The University of Hertfordshire provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just 25 minutes by train to London. *How to Apply* The application must be done following the procedure indicated in this website: https://www.herts.ac.uk/study/schools-of-study/physics-engineering-and-computer-science/engineering-and-computer-science/research-in-engineering-and-computer-science/the-phd-programme-in-computer-science Interested applicants may want to contact Dr. Nicola Catenacci Volpi ( n.catenacci-volpi at herts.ac.uk) to discuss the project, the PhD program at the University of Hertfordshire and details about the application process. **Deadline** *29/1/2021* *-----------------------------------* Dr. Nicola Catenacci Volpi, PhD Research Fellowship in Information Theory for AI & Robotics Adaptive Systems Research Group The University of Hertfordshire Department of Computer Science College Lane Hatfield, Hertfordshire AL10 9AB United Kingdom E-mail: n.catenacci-volpi at herts.ac.uk Tel: +44-1707-28-4766 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Jan 12 04:08:02 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 12 Jan 2021 11:08:02 +0200 Subject: Connectionists: =?utf-8?q?Live_e-lecture_by_Prof=2E_Tinne_Tuytela?= =?utf-8?q?ars=3A_=E2=80=98Keep_on_learning_without_forgetting?= =?utf-8?q?=E2=80=99=2C_26th_January_2021_17=3A00-18=3A00_CET=2E_St?= =?utf-8?q?art_of_AIDA_AI_excellence_lecture_series?= References: <00bd01d6e825$17b15560$47140020$@csd.auth.gr> Message-ID: <006e01d6e8c2$6ef5cbb0$4ce16310$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Tinne Tuytelaars (KU Leuven, Belgium), a prominent AI researcher internationally, will deliver the e-lecture: ?Keep on learning without forgetting?, on Tuesday 26th January 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/96526281132?pwd=azBsNDUxb2JGVGlUOEpYcFZ6SXhLZz09 The International AI Doctoral Academy (AIDA) , an joint initiative of the European R&D projects AI4Media and Vision currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Junior AI scientists with promise of excellence (AI sprint lectures) Lectures will be 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 CVML email list. Best regards Prof. I. Pitas Artificial Intelligence and Information Analysis (AIIA) lab , AUTH and AI4Media -- 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 malini.vinita.samarasinghe at ini.rub.de Tue Jan 12 05:48:33 2021 From: malini.vinita.samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Tue, 12 Jan 2021 11:48:33 +0100 Subject: Connectionists: GEM 2021 - Registration deadline update Message-ID: <0b923b6f-89f1-112e-7630-0c7f397cc777@ini.rub.de> *GEM 2021 - Generative Episodic Memory: Interdisciplinary perspectives from psychology, neuroscience and philosophy* https://for2812.rub.de/gem2021 16-18 February 2021 This workshop will take place in virtual space and is free of charge. The program is available at https://for2812.rub.de/gem2021program *The deadline for registration has been extended to 31.01.2021*. Please visit our website to register. *Abstract:* Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is ? at least to a certain degree ? constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary workshop therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. FOR 2812 ?Constructing scenarios of the past: A new framework in episodic memory? consists of 9 projects. Seven from the Ruhr University Bochum and two from the University of M?nster. The consortium adopts an interdisciplinary approach and investigates generative episodic memory from a conceptual, modeling, and experimental perspective using a common conceptual framework: scenario construction. Keynote Speakers: Karl-Heinz B?uml - University Regensburg, Germany Dorthe Berntsen - Aarhus University, Denmark Amy Criss - Syracuse University, USA Dorothea Debus - University of Konstanz, Germany David Huber - University of Massachusetts, USA Sarah Robins - University of Kansas, USA All questions regarding the workshop should be emailed to for2812 at rub.de Coordinator - Vinita Samarasinghe Secretary - Christiane Dahl -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Postfachnummer 110 Universit?tstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email: samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Tue Jan 12 07:00:30 2021 From: suashdeb at gmail.com (Suash Deb) Date: Tue, 12 Jan 2021 17:30:30 +0530 Subject: Connectionists: lSMSl21 (Virtual conference) Message-ID: Dear Colleagues, This is to share with you that after taking stock of the current global scenario, *lSMSl21*, an annual international event of India Intl. Congress on Computational Intelligence & technically co sponsored by Euro (The Association of European Operational research Societies)/ its spl. interest group on Metaheuristics, had been converted to a *full fledged virtual conference *on the same date(s). For formal announcement, pls. visit the conference web site http://ismsi.org Thanks & rgds, Suash Prof. Suash Deb General Chair, ISMSI21 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Tue Jan 12 09:34:08 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Tue, 12 Jan 2021 22:34:08 +0800 (GMT+08:00) Subject: Connectionists: Call for ICMI 2021 Long and Short Papers Message-ID: <1a014192.12bc.176f704b249.Coremail.jiangdm@nwpu.edu.cn> Call for Long and Short Papers *************************************** ICMI 2021: Call for Long and Short Papers http://icmi.acm.org/2021/index.php?id=cfp 18-22 Oct 2021, Montreal, Canada *************************************** Call for Long, Short and Blue Sky Papers The 23rd International Conference on Multimodal Interaction (ICMI 2021) will be held in Montreal, Canada. ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction analysis, interface design, and system development. We are keen to showcase novel input and output modalities and interactions to the ICMI community. ICMI 2021 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), Blue Sky papers, demonstrations, exhibits, doctoral spotlight papers, and late-breaking papers. The conference will also feature workshops and grand challenges. The proceedings of ICMI 2021 will be published by ACM as part of their series of International Conference Proceedings and Digital Library, and the adjunct proceedings will feature the workshop papers We also want to welcome conference papers from behavioral and social sciences. These papers allow us to understand how technology can be used to increase our scientific knowledge and may focus less on presenting technical or algorithmic novelty. For this reason, the "novelty" criteria used during ICMI 2021 review will be based on two sub-criteria (i.e., scientific novelty and technical novelty as described below). Accepted papers at ICMI 2021 only need to be novel on one of these sub-criteria. In other words, a paper which is strong on scientific knowledge contribution but low on algorithmic novelty should be ranked similarly to a paper that is high on algorithmic novelty but low on knowledge discovery. - Scientific Novelty: Papers should bring some new knowledge to the scientific community. For example, discovering new behavioral markers that are predictive of mental health or how new behavioral patterns relate to children's interactions during learning. It is the responsibility of the authors to perform a proper literature review and clearly discuss the novelty in the scientific discoveries made in their paper. - Technical Novelty: Papers reviewed with this sub-criterion should include novelty in their computational approach for recognizing, generating or modeling data. Examples include: novelty in the learning and prediction algorithms, in the neural architecture, or in the data representation. Novelty can also be associated with new usages of an existing approach. This year's conference theme: In the past years and specially 2020, the questions of Behavioral Health and Virtual Connectivity have become central to our life. In particular, COVID-19 has disrupted our normal social life and interactions at work, bringing challenges but also opportunities to improve our team sociability and productivity. This situation calls for multimodal systems to enhance social and emotional remote interaction as well as to increase productivity during remote collaboration. Our behavioral health has been severely impacted the past months. The needs for non-intrusive sensing technology, smart environments (e.g., elderly home monitoring), wearable and assistive devices for rehabilitation, well-being and ageing population and multimodal interfaces to support behavioral changes have become a crucial necessity. As such, this year, ICMI welcomes contributions on our theme for Behavioral Health and Virtual Connectivity. Additional topics of interest include but are not limited to: - Affective computing and interaction - Cognitive modeling and multimodal interaction - Gesture, touch and haptics - Healthcare, assistive technologies - Human communication dynamics - Human-robot/agent multimodal interaction - Interaction with smart environment - Machine learning for multimodal interaction - Mobile multimodal systems - Multimodal behavior generation - Multimodal datasets and validation - Multimodal dialogue modeling - Multimodal fusion and representation - Multimodal interactive applications - Speech behaviors in social interaction - System components and multimodal platforms - Visual behaviours in social interaction - Virtual/augmented reality and multimodal interaction Blue Sky Papers ICMI 2021 is pleased to partner with the Computing Community Consortium (CCC) to initiate a new Blue Sky paper track that emphasizes innovative, visionary, and high-impact contributions. This track solicits papers relevant to ICMI content that go beyond the usual research paper to present new visions that stimulate the ICMI community to pursue innovative new directions. They may challenge existing assumptions and methodologies, or propose new applications or theories. The papers are encouraged to present high-risk controversial ideas. Submitted papers are expected to represent deep reflection, to argue rigorously, and to present ideas from a high-level synthetic viewpoint (e.g., multidisciplinary, based on multiple methodologies). Submissions should be 4 pages, independent of references. The CCC will further distribute and publicize any papers published in this track, and they will sponsor awards to honor the first ($1,000), second ($750), and third ($500) place papers, in the form of travel grants. The submission deadline is the same with main conference papers. Important Dates Paper Submission: May 26, 2021 Reviews to authors: July 7, 2021 Rebuttal due: July 12, 2021 Paper notification: July 26, 2021 Camera-ready paper: August 16, 2021 Presenting at main conference: October 18-22, 2021 ------------------------------------------------------------------------------- Dongmei Jiang Professor, Head of Dept. Computer Information Engineering, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.seifert at utwente.nl Tue Jan 12 12:48:15 2021 From: c.seifert at utwente.nl (Christin Seifert) Date: Tue, 12 Jan 2021 18:48:15 +0100 Subject: Connectionists: Postdoc Position at the Institute for Artificial Intelligence in Medicine (Germany) Message-ID: <4219A368-1295-4BCA-84DF-ADC778FDCB7F@utwente.nl> We are looking for a Postdoc to join an innovative and diverse research team of computer scientists at the Institute for Artificial Intelligence in Medicine, University of Duisburg-Essen (Germany). More details: https://tinyurl.com/y42agkgw Please send your application documents (cover letter, curriculum vitae, certificates, references, etc.) preferably in one single PDF file to christin.seifertATuk-essenDOTde. Kind regards, Christin Seifert From Pierre.Megevand at unige.ch Tue Jan 12 13:37:52 2021 From: Pierre.Megevand at unige.ch (Pierre Bastien Megevand) Date: Tue, 12 Jan 2021 18:37:52 +0000 Subject: Connectionists: PhD & post-doc positions: Neuronal basis of human epilepsy (UNIGE, Switzerland) Message-ID: Neuronal basis of human epilepsy: PhD student and post-doc positions PhD student and post-doctoral fellow positions are opening in May 2021 at the University of Geneva, Switzerland, to study the neuronal basis of epilepsy and cognition using microelectrode recordings in human patients. Lab and project: The Human Neuron Lab (@LabNeuron), led by Prof. Pierre M?gevand, is dedicated to advancing the detection and prediction of epileptic seizures. The lab also investigates the neuronal basis of human cognitive brain functions. For that purpose, the lab focuses on invasive neurophysiology in the human brain, including ECoG and stereo-EEG. Additionally, unique microelectrode recordings (using Utah arrays and microwire electrodes) give access to the activity of dozens of single neurons in the patient's brain in order to reveal novel markers of epileptic seizures at the neuronal population level. The lab is equipped with state-of-the-art technology for human invasive neurophysiology. It benefits from the powerful computing infrastructure of the University. Importantly, the lab is fully integrated with the epilepsy monitoring unit of Geneva University Hospitals, and thus boasts exceptional access to patients and recordings. This project focuses on defining novel markers of seizures in patients who suffer from epilepsy. Continuous intracranial EEG and microelectrode recordings will be acquired for several weeks. Single-unit activity will be tracked over time for multiple neurons. Activity within the neuronal population will be examined for the presence of patterns that are specific to the patient?s seizures. The performance of seizure detection and prediction using microelectrode recordings will be compared to existing algorithms based on intracranial EEG data. Research tasks: - Acquire, analyze, and curate a uniquely rich dataset of human intracranial EEG and microelectrode recordings - Build a pipeline for semi-automated single-neuron identification and tracking - Establish novel markers of neuronal population activity that identify seizures - Participate in the mapping of sensory, motor and language functions in epilepsy patients - Daily interactions with the patients and staff of the epilepsy monitoring unit Qualifications: - Background in biomedical engineering, signal processing, or neuroscience - Expertise with analysis of neurophysiological signals, like EEG - Expertise with microelectrode recordings or intracranial EEG is a plus - Strong expertise with scientific computing (Matlab, Python) - Expertise with machine learning is a plus - Working proficiency in English (oral and written) is essential - Conversational knowledge of French must be acquired if not yet mastered - Ability to work independently Work environment: The University of Geneva is a prestigious research hub in neuroscience, federating many labs that cover the full spectrum from basic to cognitive, translational and clinical research. The neuroscience community in Geneva is also strengthened by rich collaborations with other research institutions, including Campus Biotech, the Wyss Center, and the EPFL. This project is fully funded by a grant from the Swiss National Science Foundation. The PhD and post-doc positions are open for up to 4 years each. Swiss salaries are very attractive in international comparison. The positions will open from May 2021 onwards. Please send your application, including a letter of intent, curriculum vitae, list of publications, and at least two references, by e-mail to: Prof. Pierre M?gevand Division of neurology, Geneva University Hospitals Rue Gabrielle-Perret-Gentil 4, 1205 Geneva, Switzerland pierre.megevand at unige.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Wed Jan 13 04:00:31 2021 From: mpavone at dmi.unict.it (Mario Pavone) Date: Wed, 13 Jan 2021 10:00:31 +0100 Subject: Connectionists: MESS 2020+1 ~ Learning & Optimization from Big Data ~ 15-18 June 2021 Message-ID: <20210113100031.Horde.CImAe_ph4B9f-ravRfFWDfA@mbox.dmi.unict.it> Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- MESS 2020+1 - Metaheuristics Summer School - Learning & Optimization from Big Data - 15-18 June 2021, Catania, Italy (virtual and onsite mode) https://www.ANTs-lab.it/mess2020/ mess.school at ANTs-lab.it https://www.facebook.com/groups/MetaheuristicsSchool/ ----------------------------------------------------------------------- ** APPLICATION DEADLINE: 5th March 2021 ** https://www.ants-lab.it/mess2020/application/ MESS 2020+1 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. The main theme of this edition is ?Learning and Optimization from Big Data?, therefore MESS 2020+1 wants to focus on (i) Learning for Metaheuristics; (ii) Optimization in Machine Learning; and (iii) how Optimization and Learning affect the Metaheuristics making them relevant in handling Big Data. Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. ** LIST OF LECTURERS & LECTURES TITLES + Paolo Arena, Unviersity of Catania, Italy Lecture#1: TBA Lecture#2: TBA + Angelo Cangelosi, University of Manchester & Alan Turing Institute, UK Lecture#1: Cognitive and Developmental Robotics, part 1 Lecture#2: Cognitive and Developmental Robotics, part 2 + Swagatam Das, Indian Statistical Institute, Kolkata Lecture#1: Deep Generative Adversarial Networks and Their Application to Class-imbalanced Learning Lecture#2: Non-convex Constrained Optimization - Some Advanced Approaches + Luca Maria Gambardella, IDSIA Istituto Dalle Molle for Artificial Intelligence, Switzerland Lecture#1: TBA Lecture#2: TBA + Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK Lecture#1: TBA Lecture#2: TBA + Giuseppe F. Italiano, Luiss University, Italy Lecture#1: TBA Lecture#2: TBA + Rafael Mart?, University of Valencia, Spain Lecture#1: Optimization in Graph Drawing Lecture#2: Models and Heuristics in Discrete Diversity Maximization + Gabriela Ochoa, University of Stirling, UK Lecture#1: Fitness Landscape Analysis Lecture#2: Complex Networks in Search and Optimisation + Mauricio Resende, AMAZON, USA Lecture#1: GRASP with Path-Relinking for Real-World Optimization Problems Lecture#2: Biased Random-Key Genetic Algorithms with Applications + El-Ghazali Talbi, University of Lille 1, France Lecture#1: Machine learning for metaheuristics Lecture#2: Automated design of deep neural networks + Daniele Vigo, University of Bologna, Italy Lecture#1: Fast and scalable heuristics for vehicle routing problems Lecture#2: Integrating machine learning into vehicle routing heuristics ** METAHEURISTICS COMPETITION All participants to the school will be involved in the ?Metaheuristics Competition?, where each of them will must develop a metaheuristic solution on the given problem. The top three of the competition ranking will receive the MESS 2020+1 prize. Students whose algorithm will rank in the top ten of the competition ranking will be invited to submit a manuscript of their work to be published in the special volume MESS 2020+1 of the AIRO Springer Series. ** SHORT TALK & POSTER PRESENTATION All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. Mini-Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted by *March 5, 2020*. *See Previous Edition - MESS 2018* https://www.ants-lab.it/mess2018/ ** MORE INFORMATION: https://www.ANTs-lab.it/mess2020/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ============================================= From el-ghazali.talbi at univ-lille.fr Wed Jan 13 04:35:48 2021 From: el-ghazali.talbi at univ-lille.fr (El-ghazali Talbi) Date: Wed, 13 Jan 2021 10:35:48 +0100 Subject: Connectionists: Extended deadline OLA'2021 @Sicilia Italy Message-ID: <11ceb648-7a3f-3edd-041e-334567ac400b@univ-lille.fr> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** ????????????????????????? OLA'2021 ????????? International Conference on Optimization and Learning ????????????????????????? 21-23 June 2021 ????????????????????? Catania (Sicilia), Italy ??????????????? http://ola2021.sciencesconf.org/ **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2021 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2021 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: -?????? S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages -?????? S2: Original research contributions of a maximum of 10 pages Important dates: =============== Paper submission deadline???? Extended to Feb 05, 2021 Notification of acceptance??? March 24, 2021 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. All proceedings will be available at the conference. -- *********************************************************************** OLA'2021 International Conference on Optimization and Learning 23-25 June 2021, Catania, Italy http://ola2021.sciencesconf.org *********************************************************************** ********************************************************************** META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021, Marrakech, Morocco http://meta2021.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com From blextar at gmail.com Wed Jan 13 06:27:18 2021 From: blextar at gmail.com (Luca Rossi) Date: Wed, 13 Jan 2021 19:27:18 +0800 Subject: Connectionists: S+SSPR 2020 [Program and Registration] Message-ID: Dear all, We are pleased to inform you that the program of S+SSPR 2020 is now available at https://www.dais.unive.it/sspr2020/program/ The conference will take place over 2 days, Thursday 21 and Friday 22 January. Each day will see a 1 hour online discussion session (on Zoom) sandwiched between two keynotes, one in the morning and one in the afternoon (CET). We have an outstanding line up of speakers for this edition of S+SSPR: Michael Bronstein (Twitter, Imperial College London, and University of Lugano), Nicholas Carlini (Google Inc.), Fabio Roli (University of Cagliari, winner of the Pierre Devijver award), and Max Welling (Qualcomm and University of Amsterdam). In addition to Zoom, live-streams of the keynotes will be available on the Youtube channel of S+SSPR 2020 ( https://www.youtube.com/channel/UCjA0Mhynad2FDlNaxzqGLhQ). Video presentations of the 35 accepted papers will be made available on the conference Youtube channel later this week. The online discussion sessions during the conference will then provide an opportunity to interact with the authors. Attending this edition of S+SSPR is free of charge. Please register your interest in attending using the following Eventbrite page: https://www.eventbrite.co.uk/e/ssspr-2020-tickets-135640218545 (authors of accepted papers do not need to register via Eventbrite) Looking forward to welcoming you to S+SSPR 2020, S+SSPR organising committee -- Luca Rossi Lecturer in Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London https://blextar.github.io/luca-rossi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From aapo.hyvarinen at helsinki.fi Wed Jan 13 09:17:35 2021 From: aapo.hyvarinen at helsinki.fi (=?UTF-8?Q?Aapo_Hyv=c3=a4rinen?=) Date: Wed, 13 Jan 2021 16:17:35 +0200 Subject: Connectionists: Postdoc in AI methods for neuroimaging Message-ID: <59ef7547-5c1c-b649-4a29-4875067b99a9@helsinki.fi> As part of a general postdoc call of the Helsinki Institute for Information Technology, we have a position on AI methods for neuroimaging. The position is based in Helsinki (supervisors: Aapo Hyv?rinen and Lauri Parkkonen) in collaboration with Paris-Saclay (Alex Gramfort and Bertrand Thirion). For more information, please see project #29 in the general call at: https://www.hiit.fi/calls/postdoc-and-research-fellow-postions-winter-2020-2021/ Aapo Hyv?rinen University of Helsinki From peter.karsmakers at kuleuven.be Thu Jan 14 02:47:17 2021 From: peter.karsmakers at kuleuven.be (Peter Karsmakers) Date: Thu, 14 Jan 2021 07:47:17 +0000 Subject: Connectionists: Professor Position Artificial Intelligence For Industry (KU Leuven, Belgium) In-Reply-To: <5C1FB7D8-4828-4EFB-BB6E-D7D6F31EAD79@kuleuven.be> References: <5C1FB7D8-4828-4EFB-BB6E-D7D6F31EAD79@kuleuven.be> Message-ID: <842CB59A-624A-45CC-9342-0980837FD014@kuleuven.be> Dear Colleagues, KU Leuven has a fixed-term (5 year) part-time (95%) academic vacancy in the area of Artificial Intelligence at its campus in Bruges. We are looking for internationally oriented candidates with an excellent research record, preferably focused on deploying AI in Business and Industrial Environments, and with demonstrable didactical skills. The expected start date is October 1, 2021. The successful applicant will be appointed in the Faculty of Engineering Technology. This Faculty is part of the Science, Engineering and Technology Group of KU Leuven. The position is interdepartmental, with a joint appointment in both the Department of Computer Science and the Department of Electrical Engineering (ESAT). The successful applicant will engage in collaborations with experts in data analysis and AI and academic users of AI technology in the broader region. Overall, he/she will be an active member of the KU Leuven Institute for Artificial Intelligence (Leuven.ai). This interdisciplinary institute combines the AI expertise of 60+ professors, 100s of researchers and 500 master students. As one of the 10 most innovative universities in the world, KU Leuven has been very successful in the creation of spin-off companies, illustrating the socio-economic relevance of its research. Many of these spin-off companies are technology leaders within their domain, and their products and services are renowned internationally. More information see: https://www.kuleuven.be/personeel/jobsite/jobs/56002799?hl=en&lang=en Best regards, Peter ? prof. dr. Peter Karsmakers [signature_1075745688] [/var/folders/z8/hsb0l6j16bsg031x1w8zq02r0000gn/T/com.microsoft.Outlook/WebArchiveCopyPasteTempFiles/image][page1image8119648] KU Leuven | Faculty of Engineering Technology Geel Campus | Kleinhoefstraat 4, 2440 Geel (Belgium) tel. +32 14 72 13 58 | www.iiw.kuleuven.be/geel Departement of Computer Science | DTAI-ADVISE ADVISE - DTAI [signature_747597985] -------------- next part -------------- An HTML attachment was scrubbed... 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Name: image004.png Type: image/png Size: 1469064 bytes Desc: image004.png URL: From thomdth at eaut.edu.vn Wed Jan 13 20:57:40 2021 From: thomdth at eaut.edu.vn (=?UTF-8?B?SOG7k25nIFRoxqFtIMSQaW5oIFRo4buL?=) Date: Thu, 14 Jan 2021 08:57:40 +0700 Subject: Connectionists: Postdoc in AI methods for neuroimaging In-Reply-To: <59ef7547-5c1c-b649-4a29-4875067b99a9@helsinki.fi> References: <59ef7547-5c1c-b649-4a29-4875067b99a9@helsinki.fi> Message-ID: Thanks for your news, we appreciate if you could help to circulate the information to people who are interested in this news too Call for papers 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de Knowledge Representation and Reasoning (KR) is a well-established and lively field of research. In KR a fundamental assumption is that an agent's knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines. This assumption, that much of what an agent deals with is knowledge-based, is common in many modern intelligent systems. Consequently, KR has contributed to the theory and practice of various areas in AI, including automated planning and natural language understanding, and to fields beyond AI, including databases, verification, software engineering, and robotics. In recent years, KR has contributed also to new and emerging fields, including the semantic web, computational biology, cyber security, and the development of software agents. The KR conference series is the leading forum for timely in-depth presentation of progress in the theory and principles underlying the representation and computational management of knowledge. *SCOPE* We solicit papers presenting novel results on the principles of KR that clearly contribute to the formal foundations of relevant problems or show the applicability of results to implemented or implementable systems. We also welcome papers from other areas that show clear use of, or contributions to, the principles or practice of KR. Topics of interest include, but are not limited to: - Applications of KR - Argumentation - Belief revision and update, belief merging, information fusion - Commonsense reasoning - Computational aspects of knowledge representation - Concept formation, similarity-based reasoning - Contextual reasoning - Decision making - Description logics - Explanation finding, diagnosis, causal reasoning, abduction - Geometric, spatial, and temporal reasoning - Inconsistency- and exception-tolerant reasoning, paraconsistent logics - KR and autonomous agents and multi-agent systems - KR and cognitive robotics - KR and cyber security - KR and education - KR and game theory - KR and machine learning, inductive logic programming, knowledge acquisition - KR and natural language processing and understanding - KR and the Web, Semantic Web - Knowledge graphs and open linked data - Knowledge representation languages - Logic programming, answer set programming - Modeling and reasoning about preferences - Multi- and order-sorted representations and reasoning - Nonmonotonic logics, default logics, conditional logics - Ontology formalisms and models - Ontology-based data access, integration, and exchange - Philosophical foundations of KR - Qualitative reasoning, reasoning about physical systems - Reasoning about actions and change, action languages - Reasoning about constraints, constraint programming - Reasoning about knowledge, beliefs, and other mental attitudes - Uncertainty, vagueness, many-valued and fuzzy logics The KR2021 program will also feature workshops and tutorials, solicited by means of an open call, as well as a doctoral consortium. *TRACKS* In addition to the main conference track, KR2021 will host the following tracks and sessions: * Applications and Systems Track * Recently Published Research Track * Special Session on KR and Machine Learning * Special Session on KR and Robotics *IMPORTANT DATES* Submission of title and abstract: March 24, 2021 Paper submission deadline: March 31, 2021 Author response period: May 24-26, 2021 Notification: June 15, 2021 Camera-ready papers: July 14, 2021 Conference dates: November 6-12, 2021 The Recently Published Research track, workshops, tutorials, and the doctoral consortium will have different submission and notification dates, which will be announced separately. *AUTHOR GUIDELINES* All submissions must be written in English and in AAAI style. Papers must be submitted in PDF format, through the EasyChair conference system: https://easychair.org/conferences/?conf=kr2021 For the main conference track and additional tracks/sessions (except for the Recently Published Research track), we invite - Full papers of up to 9 pages, including abstract, figures, and appendices (if any), but excluding references and acknowledgements. - Short papers of up to 4 pages, excluding references and acknowledgements. Both full and short papers must describe original, previously unpublished research, and must not simultaneously be submitted for publication elsewhere. These restrictions do not apply to previously accepted workshop papers with a limited audience and/or without archival proceedings, and to papers uploaded at public repositories (e.g., arXiv). Accepted full papers and short papers will be published in the KR2021 proceedings. Authors may optionally submit a separate PDF containing additional information that substantiates the claims made in their paper, such as proof details, additional experimental results, further details on experimental design, etc. If authors wish to make such material available to reviewers, they should do so by submitting a file through Easy Chair, rather than by including links or references in their paper. Please note that the main paper must be self-contained, as the supplementary material will not be published. Moreover, reviewers will have the option but not the obligation to consult the supplementary material. The preceding submission guidelines apply to the main track, as well as to the Applications and Systems track, the KR & Machine Learning special session, and the KR & Robotics special session. By contrast, different submission guidelines apply to the Recently Published Research track, workshops, tutorials, and the doctoral consortium, which will be announced separately. *CONFERENCE CHAIRS:* General: Esra Erdem (Sabanci University, Turkey) Program: Meghyn Bienvenu (CNRS & University of Bordeaux, France) Gerhard Lakemeyer (RWTH Aachen University, Germany) Applications and Systems Track: Martin Gebser (University of Klagenfurt, Austria) Ulrike Sattler (University of Manchester, UK) Recently Published Research Track: Vladimir Lifschitz (University of Texas at Austin, USA) Pierre Marquis (Artois University & Institut Universitaire de France, France) Special Session on KR & Machine Learning: Vaishak Belle (University of Edinburgh, UK) Luc de Raedt (KU Leuven, Belgium) Special Session on KR & Robotics: Alessandro Saffioti (University of ?rebro, Sweden) Mary-Anne Williams (University of Technology Sydney, Australia) Workshop and Tutorials: Markus Kroetzsch (TU Dresden, Germany) Yongmei Liu (Sun Yat-sen University, China) Doctoral Consortium: Jens Classen (Simon Fraser University) Magdalena Ortiz (TU Vienna, Austria) Local Organization: Giuseppe De Giacomo (Sapienza University, Italy) Son Tran (New Mexico State University, USA) Long Tran-Thanh (University of Warwick, UK) Thanh Van Dinh (East Asia University of Technology, Vietnam) Virtual Conference Arrangements: Stefan Borgwardt (TU Dresden, Germany) Marco Console (Sapienza University Italy) Long Tran-Thanh (University of Warwick, UK) Sponsorship: Kuldeep S. Meel (NUS, Singapore) Zeynep G. Saribatur (TU Wien, Austria) Publicity: Thanh Van Dinh (East Asia University of Technology, Vietnam) Paolo Felli (Free University of Bozen-Bolzano, Italy) V?o Th 4, 13 thg 1, 2021 va?o lu?c 23:52 Aapo Hyv?rinen < aapo.hyvarinen at helsinki.fi> ?? vi?t: > As part of a general postdoc call of the Helsinki Institute for > Information Technology, we have a position on AI methods for neuroimaging. > > The position is based in Helsinki (supervisors: Aapo Hyv?rinen and Lauri > Parkkonen) in collaboration with Paris-Saclay (Alex Gramfort and > Bertrand Thirion). > > For more information, please see project #29 in the general call at: > > https://www.hiit.fi/calls/postdoc-and-research-fellow-postions-winter-2020-2021/ > > Aapo Hyv?rinen > University of Helsinki > > > -- Hong Thom *International Training and Cooperation **Institute* *East Asia University of Technology* *Add: Polyco Group Building, Tran Huu Duc St, Nam Tu Liem Dist, Ha Noi* *Mobile: + 84 939411986* Website:https://duhoc.eaut.edu.vn/# Email: esa at eaut.edu.vn; thomdth at eaut.edu.vn; -------------- next part -------------- An HTML attachment was scrubbed... URL: From dthakur at cdt.org Wed Jan 13 18:48:51 2021 From: dthakur at cdt.org (Dhanaraj Thakur) Date: Wed, 13 Jan 2021 18:48:51 -0500 Subject: Connectionists: Job opening - Postdoctoral Fellow: Explainability and Auditability of AI in Content Moderation Message-ID: <72352121-f383-6f79-035b-11073f4bef2e@cdt.org> Hello everyone (and apologies for cross-posting), We have a job opening at the Center for Democracy & Technology (CDT) for a Postdoctoral Fellow to work on developing models and tools to improve the explainability and auditability of AI-based content moderation systems. I would appreciate it if you can share with relevant colleagues and recent PhD graduates. I am also happy to answer questions from interested applicants. This should be someone who recently completed their PhD in a relevant discipline, with demonstrated research expertise related to this topic. This is a one-year full-time Fellowship, with the possibility of renewal for another year based on performance and availability of funds. Limited funding is also available for approved research expenses associated with the Fellow?s project. We offer a competitive salary and excellent benefits. The expected start date for the Fellowship is March/April 2021, so interested persons should apply as soon as possible. The position is based at CDT?s Washington, D.C. office (with remote work currently in effect due to COVID-19). Further details and application instructions are here . thanks, Dhanaraj -- *Dhanaraj Thakur* (he/him) | Research Director Center for Democracy & Technology |*cdt.org * *E:* dthakur at cdt.org | *P:*?+1 202 407 8849 | @thakurdhanaraj -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Wed Jan 13 20:10:32 2021 From: terry at salk.edu (Terry Sejnowski) Date: Wed, 13 Jan 2021 17:10:32 -0800 Subject: Connectionists: NEURAL COMPUTATION - January 1, 2021 In-Reply-To: Message-ID: Neural Computation - Volume 33, Number 1 - January 1, 2021 available online for download now: http://www.mitpressjournals.org/toc/neco/33/1 http://cognet.mit.edu/content/neural-computation ----- Articles Flexible Working Memory Through Selective Gating and Attentional Tagging Wouter Kruijne, Sander M. Bohte, Pieter R. Roelfsema, and Christian N. L. Olivers Conductance-based Adaptive Exponential Integrate-and-fire Model Tomasz Gorski, Damien Depannemaecker, and Alain Destexhe Letters NMDA Receptor Alterations After Mild Traumatic Brain Injury Induce Deficits in Memory Acquisition and Recall David Gabrieli, Samantha Nicole Schumm, Nicholas F. Vigilante, and David Meaney Passive Nonlinear Dendritic Interactions as a Computational Resource in Spiking Neural Networks Andreas Stoeckel, Chris Eliasmith Efficient Actor-critic Reinforcement Learning With Embodiment of Muscle Tone for Posture Stabilization of the Human Arm Masami Iwamoto, Daichi Kato New Insights Into Learning With Correntropy Based Regression Yunlong Feng Associated Learning: Decomposing End-to-end Backpropagation Based on Autoencoders and Target Propagation Yu-Wei Kao, Hung-Hsuan Chen An EM Algorithm for Capsule Regression Lawrence K. Saul Robust Stability Analysis of Delayed Stochastic Neural Networks via Wirtinger-based Integral Inequality Suresh Rajendran, Annamalai Manivannan Information-Theoretic Representation Learning for Positive-Unlabeled Classification Tomoya Sakai, Gang Niu, and Masashi Sugiyama ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From george at cs.ucy.ac.cy Thu Jan 14 05:08:50 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Thu, 14 Jan 2021 12:08:50 +0200 Subject: Connectionists: 15th International Conference on Research Challenges in Information Science (RCIS 2021): Last Call for Papers Message-ID: <76NTMZM-6ZTA-LXNZ-ODJY-IW2TKH6F13QG@cs.ucy.ac.cy> *** Last Call for Papers *** 15th International Conference on Research Challenges in Information Science (RCIS 2021) May 12-14, 2021, Royal Apollonia Beach Hotel 5*, Limassol, Cyprus http://www.rcis-conf.com/rcis2021/ Abstract submission deadline (recommended): January 25, 2021 (AoE) Paper submission deadline: February 1, 2021 (AoE) (*** extended! ***) (Proceedings to be published by Springer; Special Issue in DKE, Elsevier) SCOPE AND TOPICS RCIS aims to bring together scientists, researchers, engineers and practitioners from a wide range of information science fields and to provide opportunities for knowledge sharing and dissemination. RCIS 2021 will continue paying attention to traditional topics at the conference; in addition, we solicit submissions aligned with the special theme "Information Science and global crisis". Global crisis, as the pandemic we are experiencing in these days, natural disasters, wars and international political crisis, are challenging Information Science to help building effective management solutions, to learn from previous experience how to prevent them, and to support Humans keep on performing core activities, as education, and communication. The diversity of crises' causes, the quality of the collected data as well as the complexity of the underlying mechanisms are among the relevant research challenges. RCIS welcomes submissions from the whole spectrum of the information science field. The list of themes and topics includes, but is not limited to: Information Systems and their Engineering ? Requirements Engineering ? Software Testing ? Information Security and Risk ? Method Engineering User-Oriented Approaches ? Social Computing and Social Network Analysis ? User-Centred Design ? Collaborative Computing ? Human Factors in Information Systems Data and Information Management ? Databases and Information ? Information Search and Discovery ? Conceptual Modelling and Ontologies Business Process Management ? Business Process Engineering and Reengineering ? Process Mining ? Enterprise Engineering Domain-specific IS Engineering ? E-Health, e-Government, e-Commerce, ... ? Web-Based Applications and Services ? Industry 4.0 ? Web-Based Applications and Services ? Smart Cities ? Educational Technologies ? Digital Humanities Data Science ? Big Data & Business Analytics ? Decision Information Systems ? Knowledge Management ? Knowledge Discovery from Data Information Infrastructures ? Cyber-Physical Systems ? Web Information Systems ? Grid Computing and Cloud Computing ? Internet of Things ? Pervasive and Mobile Computing Reflective Research and Practice ? Research Methodologies in Information Science ? Impact of Information on the Enterprise and the Individual ? Lifecycle Models ? Design Science and Rationale Tutorials, Doctoral Consortium, Posters & Demos and Research Projects @RCIS tracks will complement the main conference. SUBMISSION PROCESS Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Papers that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2021. Papers should be in English and must be associated to one of the following categories: Technical solution papers (max 16 pages Springer) present solutions that are novel or significantly improve existing approaches. A technical solution paper must include a preliminary validation of the proposed solution, and results must be stated clearly enough so that it is possible to validate them in follow-up research. Evaluation papers (max 16 pages Springer) evaluate existing problem situations or validate proposed solutions through scientific means, i.e., by empirical studies, experiments, case studies, simulations, mathematical proofs, etc. The research method must be sound and appropriate. Industrial practice and experience papers (max 16 pages Springer) thoroughly present problems or challenges encountered in practice, elaborate on success or failure with existing approaches, or report on industrial practice (e.g., methods and tools). A paper in this category shall provide a clear context, detail the problem or the industrial practice, and explain the lessons learned. Work in progress papers (max 8 pages Springer) present relevant preliminary results across the spectrum of information science. These papers can either present a novel technical solution, or report on a preliminary evaluation of a technique. Please note that the maximum length of the paper includes references, appendices, etc. The submission site is https://easychair.org/my/conference?conf=rcis2021 . By submitting a paper, the authors agree that at least one of them will register to the conference and present the paper. The appearance of a paper in the Springer proceedings is dependent on the registration of one author within the early registration deadline on March 29, 2021. We adopt a single-blind review format, meaning that the author names are included in the paper itself under the paper title. JOURNAL SPECIAL ISSUE A selection of the best accepted papers of RCIS 2021, chosen by a dedicated committee, will be invited to submit an extended version of the RCIS paper to the Data & Knowledge Engineering (DKE) journal published by Elsevier (https://www.journals.elsevier.com/data-and-knowledge-engineering). The selection of the papers to invite will be based on the review scores and arguments, and the potential for extension. IMPORTANT DATES ? Abstract submission deadline for regular papers: January 25, 2021 (AoE) ? Regular paper submission deadline: February 1, 2021 (AoE) (extended) ? Notification to authors and registration opening: March 12, 2021 ? Author registration deadline for all paper types: March 29, 2021 ? Camera-ready copy deadline for all paper types: March 29, 2021 ? Conference: May 12-14, 2021 CONFERENCE COMMITTEES Steering Committee ? Sa?d Assar, Institut Mines-Telecom Business School, France ? Marko Bajec,University of Ljubljana, Slovenia ? Pericles Loucopoulos, Manchester University, University Kingdom ? Haralambos Moratidis, University of Brighton, United Kingdom ? Selmin Nurcan, Universit? Paris 1 Panth?on-Sorbonne, France ? Oscar Pastor, Universitat Polit?cnica de Val?ncia, Spain ? Jolita Ralyt?, CUI, University of Geneva, Suisse ? Colette Rolland, Universit? Paris 1 Panth?on-Sorbonne, France ? Jelena Zdravkovic, Stockholm University, Sweden General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Selmin Nurcan, Universit? Paris 1 Panth?on-Sorbonne, France Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Samira Cherfi, CNAM, France ? Anna Perini, FBK, Italy Social Media Chairs ? Itzel Morales Ramirez, Instituto de Ingenier?a de la UNAM, Mexico ? V?tor E. Silva Souza, UFES, Brasil Proceedings Chair ? Raihana Ferdous, FBK, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.villavicencio at sheffield.ac.uk Thu Jan 14 05:56:48 2021 From: a.villavicencio at sheffield.ac.uk (Aline Villavicencio) Date: Thu, 14 Jan 2021 10:56:48 +0000 Subject: Connectionists: PhD Studentship, Department of Computer Science, University of Sheffield (UK) Message-ID: <817D4FCE-D982-4F09-93FE-E53482E2266F@sheffield.ac.uk> Project: Automatic representation and identification of similarities in multimorbidity for large patient cohorts Department of Computer Science, University of Sheffield (UK) Supervisor: Aline Villavicencio Deadline for applications: January 29, 2021 More details: https://www.findaphd.com/phds/project/automatic-representation-and-identification-of-similarities-in-multimorbidity-for-large-patient-cohorts/?p128514 About the Project The increasing availability of Electronic Health Records (EHR) along with advances in natural language processing have contributed to the automatic extraction of information from EHRs. This can also be augmented with additional knowledge from external sources about the characteristics of diseases and clinical terms found in these records, including taxonomic and synonymy information that can help discover similarities among terms. These techniques for detecting similarities among words, sentences, documents have gained particularly in accuracy with the automatic construction of large-scale models for representing knowledge, like BERT (Devlin et al. 2019), along with specific versions developed for the clinical domain like BioBERT (Lee et al., 2019), SciBERT (Beltagy et al., 2019), ClinicalBERT (Alsentzer et al., 2019), BioMedRoBERTa (Gururangan et al., 2020) and BERT-XML (Zhang et al. 2020). This project aims to develop methods for automatically discovering similarities among different morbidities that could lead to a single unified treatment for some multimorbidities. This involves comparing similarities between diseases at a large scale to identify possible candidate combinations, extracting relevant information about diseases from sources including medical taxonomies and encyclopedias and creating a representation for each of the conditions and their properties that allows for their comparison. In addition, techniques for identifying similarities between representations will be used for large-scale comparison of diseases according to their common characteristics, including symptoms, treatments and evolution. This involves combining clinical information, codes and medical taxonomies descriptions with additional information from external sources, such as publications. We propose to use this enriched information to detect direct and indirect similarities in different morbidities. These will enable the discovery of candidate combinations of diseases that have similar characteristics and could have joint treatments. ---------------------------------------------------- Aline Villavicencio Chair in Natural Language Processing Department of Computer Science, University of Sheffield https://sites.google.com/view/alinev https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Jan 14 08:24:30 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 14 Jan 2021 15:24:30 +0200 Subject: Connectionists: Short e-course on Computer Vision and Image Processing, 24-25th February 2021 Message-ID: <014601d6ea78$978502a0$c68f07e0$@csd.auth.gr> Dear Computer Vision/Image Processing engineers, scientists and enthusiasts, you are welcomed to register in this short e-course on 'Computer Vision and Image Processing', 24-25th February 2021. It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. Course description 'Computer Vision and Image Processing' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A (8 hours) provide an in-depth presentation of Image Processing theory and its application in the above-mentioned diverse domains. First, an Introduction to Image Processing and Computer Vision will be offered to clarify concepts in a precise and mathematical way. Image formation and its issues (e.g., image noise, deformations) will then be detailed, whether based on visible light or on other modalities (e.g., Xrays, Ultrasound). Image sampling will provide the necessary background to understand the potential and limitations of digital images. 2D Signals and Systems will provide the theoretical and algorithmic tools for most image processing operations. Then notions related to Image transforms will be clarified, together with their applications in image/video analysis and compression. Fast 2D convolution algorithms will provide efficient implementation of most image processing operations. Image perception will overview the Human Visual System and its impact on image quality and image processing system design specifications. Finally, Image filtering will provide tools to reduce noise and enhance image quality, e.g., to increase contrast, perform image zooming or printing. Part B (8 hours) provide fan in-depth presentation of both 2D and 3D Computer Vision and Image Analysis theory and their applications in the above-mentioned diverse domains. Edge detection will allow to extract reliable object contours. Region segmentation and Texture description will detail segmentation of an image into homogeneous regions. Either edge or region object descriptions will be employed in 2D object shape analysis. 3D Computer Vision starts with a detailed presentation of image acquisition and camera geometry, including camera calibration. Then, two lectures on a) Stereo and Multiview imaging and b) Structure from motion will provide the theoretical and algorithmic tools to recover 3D world models from images. They will be used on Localization and mapping that is of primary importance in Autonomous Systems and Robotic perception. Finally, Object tracking is presented, as it is of primary importance (together with object detection presented in the ML DNN e-course) in practically all the above-mentioned Computer Vision applications and way beyond. Course lectures Part A Image Processing (first day, 8 lectures): 1. Introduction to Image Processing and Computer Vision 2. Image Formation 3. Image Sampling 4. 2D Systems 5. Image Transforms 6. Fast 2D Convolution Algorithms 7. Image Perception 8. Image Filtering Part B Computer Vision (second day, 8 lectures): 1. Edge Detection 2. Region Segmentation. Texture Description 3. Shape Description 4. Image Acquisition. Camera Geometry 5. Stereo and Multiview Imaging 6. Structure from Motion 7. 3D Robot Localization and Mapping 8. Object Tracking Though independent, the attendees of this short e-course will greatly benefit by attending the CVML short e-course on 'Machine Learning and Deep Neural Networks' 17-18th February 2021: CVML Short Course - Machine Learning and Deep Neural Networks You can use the following link for course registration: https://icarus.csd.auth.gr/cvml-short-course-computer-vision-image-processin g/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -- 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 r.herzallah at aston.ac.uk Thu Jan 14 13:21:06 2021 From: r.herzallah at aston.ac.uk (Herzallah, Randa) Date: Thu, 14 Jan 2021 18:21:06 +0000 Subject: Connectionists: Reminder: Postdoctoral position in Quantum control In-Reply-To: References: Message-ID: Dear colleagues, The deadline for the below position is approaching. Appreciate if you can distribute this to your network. Application deadline is 24 January 2021. I am looking for excellent candidates who are interested in the intersection of quantum physics and control theory sciences, broadly described. More details about the job are given in the job description document which can be accessed from the job ad. Applicants must apply online by clicking the ?Apply Online? button at https://jobs.aston.ac.uk/Vacancy.aspx?ref=R200352 Best wishes, 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 perusquia at ieee.org Fri Jan 15 04:30:45 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Fri, 15 Jan 2021 18:30:45 +0900 Subject: Connectionists: First call for papers ACII2021 Message-ID: ======================================================= Affective Computing and Intelligent Interaction (ACII) 2021 Call for Papers 28 Sep - 1 Oct 2021, Nara, Japan http://www.acii-conf.net/2021/ ======================================================= We are calling for papers to be presented at ACII 2021, the 9th International Conference on Affective Computing and Intelligent Interaction. All accepted papers are expected to be included in IEEE Xplore (conditional to the approval by IEEE Computer Society) and indexed by EI. A selection of the best articles at ACII2021 will be invited to submit extended versions to IEEE?s Transactions on Affective Computing. These will be published in a ?Best of ACII? special section of this premier journal. **Important dates** Conference Date: September 28 ? October 1, 2021 Paper Submission Deadline: April 9, 2021 Reviews Provided to Authors: May 25, 2021 Author Rebuttals Due: June 1, 2021 Notification of Acceptance: June 25, 2021 Camera Ready Papers Due: July 30, 2021 **General conference topics** *Ethical Issues in Affective Computing - Fairness and bias - Privacy - Transparency and explainability - Inclusive Design - Creating models for user diversity (ability, language, culture, gender, age) - Social impact of affective computing systems *Psychology & Cognition of Affect in Designing Computational Systems - Computational Models of Emotional Processes - Issues in Psychology & Cognition of Affect in Affective Computing Systems - Cultural Differences in Affective Design and Interaction *Recognition and Synthesis of Human Affect from ALL Modalities - Facial and Body Gesture Recognition, Modelling and Animation - Affective Speech Analysis, Recognition and Synthesis - Recognition and Synthesis of Auditory Affect Bursts (Laughter, Cries, etc.) - Motion Capture for Affect Recognition - Affect Recognition from Alternative Modalities (Physiology, Brain Waves, etc.) - Affective Text Processing and Sentiment Analysis - Multimodal Data Fusion for Affect Recognition - Synthesis of Multimodal Affective Behavior *Affective Interfaces - Design of Affective Loop and Affective Dialogue Systems - Human-Centred Human-Behaviour-Adaptive Interfaces - Interfaces for Attentive & Intelligent Environments - Mobile, Tangible and Virtual/Augmented Multimodal Proactive Interfaces - Distributed/Collaborative Multimodal Proactive Interfaces - Tools and System Design Issues for Building Affective and Proactive Interfaces - Evaluation of Affective, Behavioural, and Proactive Interfaces *Affective, Social and Inclusive Robotics and Virtual Agents - Emotion in Robot and Virtual Agent Cognition and Action - Embodied Emotion - Biologically-Inspired Architectures for Affective and Social Robotics - Developmental and Evolutionary Models for Affective and Social Robotics - Models of Emotion for Embodied Conversational Agents - Personality in Embodied Conversational Agents - Memory, Reasoning, and Learning in Affective Conversational Agents *Group Dynamics - Multiparty interaction - Multimodal interaction *Affective Databases and Annotation Tools *Applications - Health - Education - Entertainment - Consumer Products **Theme: Ethical Affective Computing** The Affective Computing technologies are deployed in a variety of applications, including but not limited to lie detection, mental health monitoring/diagnosis, and social/assistive robots. -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Fri Jan 15 05:24:58 2021 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Fri, 15 Jan 2021 11:24:58 +0100 Subject: Connectionists: Lecturer (assistant professor) position in the Natural Language and Information Processing research group at University of Essex Message-ID: The University of Essex's School of Computer Science and Electronic Engineering is looking to hire a new lecturer in the Natural Language and Information Processing research group (https://essexnlip.uk/) to further strengthen our research and education expertise. Most recently, the work of the NLIP group has focused around the intersection of language and vision, researching how artificial/collective intelligence and multimodal information processing can enable state-of-the-art applications in inter-disciplinary fields such as human rights monitoring, environmental science and healthcare. We are particularly interested in candidates with research expertise in one or more of the following areas: * Natural Language Processing / Text Analytics / Computational Linguistics * Information Retrieval / Enterprise Search * Information Processing / Computer Vision https://hrorganiser.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=229793NLm3&WVID=9918109NEm&LANG=USA Application deadline 3 Feb 2021. Dr Alba Garc?a Seco de Herrera PhD Lecturer Department of Computer Science and Electronic Engineering (CSEE) University of Essex T +44 (0) 1206 872907 E alba.garcia at essex.ac.uk ? *https://www.essex.ac.uk/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Fri Jan 15 07:29:01 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Fri, 15 Jan 2021 14:29:01 +0200 Subject: Connectionists: CfP ICIP 2021 Autonomous Vehicle Vision (AVVision) Special Session (Deadline Extended to February 14, 2021!) References: <009901d6eb32$c1c08480$45418d80$@csd.auth.gr> Message-ID: <013701d6eb3a$021c2dc0$06548940$@csd.auth.gr> Call for Papers ICIP 2021 Autonomous Vehicle Vision (AVVision) Special Session (Deadline Extended to February 14, 2021 by ICIP2021 organizers!) Early abstract submissions are welcome! Send us your abstract (including tentative title, abstract, author list, and corresponding author contact email) before January 18, 2021! Email: avvision at mias.group https://sites.google.com/view/avvision-icip21 Call for Papers With a number of breakthroughs in autonomous system technology over the past decade, the race to commercialize self-driving cars has become fiercer than ever. The integration of advanced sensing, computer vision, signal/image processing, and machine/deep learning into autonomous vehicles enables them to perceive the environment intelligently and navigate safely. Autonomous driving is required to ensure safe, reliable, and efficient automated mobility in complex uncontrolled real-world environments. Various applications range from automated transportation and farming to public safety and environmental exploration. Visual perception is a critical component of autonomous driving. Enabling technologies include: a) affordable sensors that can acquire useful data under varying environmental conditions, b) reliable simultaneous localization and mapping, c) machine learning that can effectively handle varying real-world conditions and unforeseen events, as well as ?machine-learning friendly? signal processing to enable more effective classification and decision making, d) hardware and software co-design for efficient real-time performance, e) resilient and robust platforms that can withstand adversarial attacks and failures, and f) end-to-end system integration of sensing, computer vision, signal/image processing and machine/deep learning. The special session will cover all these topics. Research papers are solicited in, but not limited to, the following topics: ? 3D road/environment reconstruction and understanding; ? Semantic/instance driving scene segmentation and semantic mapping; ? Self-supervised/unsupervised visual environment perception; ? Car/pedestrian/object/obstacle detection/tracking and 3D localization; ? Car/license plate/road sign detection and recognition; ? Driver status monitoring and human-car interfaces; ? Deep/machine learning and image analysis for car perception; ? Adversarial domain adaptation for autonomous driving. Organizers Dr. Rui Ranger Fan, UC San Diego Prof. Ioannis Pitas, Aristotle University of Thessaloniki Dr. Nemanja Djuric, Uber ATG Important Dates * Paper Submission Deadline: February 14, 2021 * Reviews Made Available to Authors: April 14, 2021 * Author Rebuttal Deadline: April 21, 2021 * Paper Acceptance Notification: May 19, 2021 * Final Paper Submission Deadline: June 16, 2021 * Author Registration Deadline: June 25, 2021 Submission Papers must be formatted according to the instructions in the IEEE ICIP 2021 Paper Kit. Please read the entire paper kit carefully to verify that your paper document is formatted correctly and that you have all the information you need before starting your paper submission. The paper kit contains detailed instructions on formatting your document and completing the submission process, as well as a description of how the review process works and how to prepare for your presentation at the conference if your paper is accepted. All papers must be presented and registered to be published, according to the Non-Presented Paper (No-Show) Policy. More details can be found at https://2021.ieeeicip.org/Papers.asp -- 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 terese at imse-cnm.csic.es Fri Jan 15 10:47:25 2021 From: terese at imse-cnm.csic.es (Teresa Serrano) Date: Fri, 15 Jan 2021 16:47:25 +0100 Subject: Connectionists: Special session: Bio-inspired circuits, systems and algorithms for multimedia in conjunction with CBMI-2021, deadline extended till January 31 Message-ID: <69054a66-36de-b5b3-2ee0-c75dc02920d9@imse-cnm.csic.es> *Special session: Bio-inspired circuits, systems and algorithms for multimedia in conjunction with CBMI-2021 (June 28-30) - cbmi2021.univ-lille.fr * Submission deadline extended till *January 31*, 2021 CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, ?browsing, management, visualization and analytics. The Special Session on bio-inspired circuits, systems and algorithms will be a mini-venue, focusing on the state-of-the-art and research direction of the emerging field of bio-inspired circuits, systems and algorithms and in the envisioned applications and breakthrough that the application of this bioinspired technology and algorithms can bring to the content-based multimedia indexing field development. Special session papers, which can be invited or submitted, will supplement the regular research papers and be included in the proceedings of CBMI 2021. The special session would include four to five papers, which can be invited, or regular submissions. ?In order to ensure the high quality of all conference papers, all papers submitted to the special session will be peer-reviewed through the standard review process, including invited papers. If the special session has many high-quality submissions, some of the submissions may potentially be moved to some regular sessions. Authors are encouraged to submit previously unpublished research papers including bioinspired circuits, systems and algorithms ?that address the use of the bioinspired technology and algorithms in the areas of search and retrieval, multimedia content management, user interaction, large-scale search, learning in retrieval, social media indexing and retrieval, surveillance and security. Other applications areas of interest to the CBMI community not listed above maybe considered. *Organizer *: Teresa Serrano Gotarredona, IMSE-CNM ? terese at imse-cnm.csic.es and cbmi2021-organisation at univ-lille.fr Submissions of papers for special sessions are open on EasyChair: https://easychair.org/conferences/?conf=cbmi2021 . Please select the special session you apply to in the submission form. *STUDENT PARTICIPATION:* We strongly encourage students to participate in CBMI-21 event and submit their research. We strongly believe in their power, and they are the future of the research in content-based multimedia indexing. For these reasons and for the first time in the history of the conference, the 2021 edition of CBMI with support of ACM SIGMM (www.sigmm.org ), will sponsor several students, authors of papers submitted and accepted by CBMI-21, and being corresponding author of a paper. The student status will be recognized only to PhDs and master students. Certain students will be totally sponsored, including registration fees, accommodations and travel expenses. Other students will be partly sponsored, including substantial reduction in the registration fees, no cut-backs to the students? conference experience, and budget accommodation options and arrangement for room sharing. Furthermore, in this edition, prizes will be awarded to the best student poster presentations of CBMI2021. All the participants registered to CBMI2021 as student will be automatically admitted to the selection for the awards. All the papers accepted as poster presentation by the Technical Program Committee (TPC), from students will be considered for the awards, given that a full-paper manuscript has been submitted. The student poster awards committee will evaluate the nominated contributions during the poster sessions of CBMI2021. The evaluation criteria will be independently established by the Committee before the conference and will take into account the scientific content as well as the technical quality of the posters. The Student Poster Awards will be announced during the Gala Dinner, on June 29th. *INSTRUCTIONS TO AUTHORS:* Special sessions papers will be included in the CBMI proceedings like regular papers. The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of certain best papers of the conference will be invited to submit extended versions of their contributions to a special issue of a leading journal in the field (e.g. MTAP - Springer), and other best papers will be invited to submit extended versions of their contributions in a book (ISTE/WILEY publisher). -- Teresa Serrano Gotarredona Investigadora Cient?fica / Research Scientist Imagen Logo IMSE-CNM C/ Am?rico Vespucio, 28 Parque Cient?fico y Tecnol?gico Cartuja 41092 Sevilla. SPAIN Ph.: +34 954 466 666 ? Fax: +34 954 466 600 -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Fri Jan 15 16:59:08 2021 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Fri, 15 Jan 2021 22:59:08 +0100 Subject: Connectionists: [Reminder] Call for technical Sessions -- FedCSIS 2021 -- IEEE ##52320 -- deadline 21.01.2021 In-Reply-To: <79994d90-34d6-310d-ad99-691a6d90a39f@ibspan.waw.pl> References: <79994d90-34d6-310d-ad99-691a6d90a39f@ibspan.waw.pl> Message-ID: <6625a908-046c-d143-8203-0ef191318c46@amu.edu.pl> Call for Technical Sessions 16th Conference on Computer Science and Intelligence Systems (FedCSIS 2021; IEEE #52320) Sofia, Bulgaria, 6-9 September 2020 www.fedcsis.org The 16th Conference on Computer Science and Intelligence Systems (FedCSIS 2021) cordially invites you to contribute a Technical Session (symposium, workshop, consortium meeting, project dissemination meeting, special session, etc.). The FedCSIS conferences consist of five Tracks that contain Technical Sessions. Many of them are recurring yearly events, but we solicit and welcome proposals for new Technical Sessions, until January 21, 2021. Moreover, existing events that would like to join the FedCSIS conference series, are also welcome. The Technical Sessions can run over any span of time within the conference dates; from half-day to three days. FedCSIS is a large rigorous scientific conference staged across Europe. Annually, it attracts ~300 submissions from ~30 countries from around the world. Papers are accepted in three categories: regular (full and short), position, and communication. All regular, presented, papers are submitted to IEEE Xplore Digital Library, and many are offered post-publication opportunities (journals, Springer volumes, etc.) after appropriate extensions and changes. Position and communication papers are published in separate volumes of the Annals of Computer Science and Information systems series. All papers are published with ISBN, ISSN and DOI numbers, and submitted to, and indexed in, most influential indexing services. Since 2012, FedCSIS Proceedings are indexed in SCOPUS and Web of Science. Any newly proposed Technical Session will be evaluated on the basis of scientific/technical interest and/or its relevance to practitioners in its topics, the clarity of the proposal in addressing the requested information, the innovativeness of the topics, and a ?value-added? to the denoted FedCSIS track, i.e.: * Artificial Intelligence and Applications * Computer Science and Systems * Network Systems and Applications * Information Technology for Management, Business & Society * Software and Systems Development Call for Papers, for Technical Sessions, will be announced by three means: (1) by FedCSIS Chairs in generic Calls for Conference Papers, to reach out to the computer science and information system researchers at large; (2) by Track Chairs in Calls for Track Papers, to reach out to the researchers specifically interested in track topics; (3) by Technical Session Chairs in Calls for Technical Session Papers, to reach out to the professional communities involved in research addressed by the Technical Session. All papers will have to be submitted to the FedCSIS Conference System. However, in all cases, paper submitters will have to select a Technical Session (event) within which their paper will be reviewed for acceptance. Technical Session proposals should include the following information (3 pages maximum): 1. The nature of the Technical Session (symposium, workshop, consortium meeting, project dissemination meeting, special session, etc.). 2. The title and acronym of the Technical Session, and a list of topics. 3. A brief explanation of why the proposed session will fit into the FedCSIS aims and program. 3. The contact information of the Technical Session chairs, including a link to their personal websites, and an overview of previous experiences with organization of scientific events. 4. Preliminary list of PC members who have agreed (or are likely to agree) to join. 5. Indication of the expected number of papers/attendees. 6. Information of expected post-publications of extended and revised papers in high-quality journals, edited volumes, etc. Technical Session organizers should email their proposals (in a single pdf file) by January 21, 2021 to the FedCSIS Secretariat at: secretariat at fedcsis.org More information concerning FedCSIS and its scientific, organization and financial rules can be found at: https://www.fedcsis.org -- Ta wiadomo?? zosta?a sprawdzona na obecno?? wirus?w przez oprogramowanie antywirusowe Avast. https://www.avast.com/antivirus From thanh.dinhvan at gmail.com Fri Jan 15 21:48:28 2021 From: thanh.dinhvan at gmail.com (Thanh Dinh) Date: Sat, 16 Jan 2021 09:48:28 +0700 Subject: Connectionists: Call for Papers: Applications and Systems Track (KR 2021) Message-ID: <311e9ca5-8566-cd6c-76f9-fe07a94e4f5a@gmail.com> CALL FOR PAPERS *Applications and Systems Track* of the 18th Conference on Principles of Knowledge Representation and Reasoning (KR2021) November 6-12, 2021, Hanoi, Vietnam https://kr2021.kbsg.rwth-aachen.de/ ------------------ Important Dates ------------------ Submission of title and abstract: March 24, 2021 Paper submission deadline: March 31, 2021 Author response period: May 24-26, 2021 Notification: June 15, 2021 Camera-ready papers: July 14, 2021 Conference dates: November 6-12, 2021 ------------------ Description ------------------ Systems and applications incorporating Knowledge Representation and Reasoning (KR) have made tremendous progress over the last decades and become more and more pervasive in scientific, industrial and everyday life. Popular knowledge representation formalisms range from databases, ontologies, classical, probabilistic and non-monotonic logics to natural language, offering rich means to describe a variety of static as well as dynamic phenomena. Automated reasoning systems harness machine learning, combinatorial search and optimization methods, planning, proving, design and diagnosis techniques to provide powerful tools for analyzing and deriving conclusions from complex input data. Novel, general and interdisciplinary approaches are thus vital contributions at the intersection of science, industry and society, aiming to enhance the capabilities and outreach of KR principles and technologies. This year, for the second time, KR 2021 will host a track on "Applications and Systems". This track aims at providing researchers and industrial practitioners with a dedicated forum for presentation and discussion of new ideas, research experience and emerging results on topics related to applications of KR formalisms and automated reasoning systems. This track provides the opportunity for fostering meaningful connections between researchers from both practical and theoretical areas of AI and, at the same time, offers participants the possibility to learn about progress made on these topics, share their own views and elaborate about approaches that could lead to effective cross-fertilisation among research in challenging KR applications and new innovative systems for solving them. ------------------ Expected Contributions ------------------ The Applications and Systems Track at KR 2021 invites submissions of papers on all aspects of the development, deployment, and evaluation of KR systems to solve significant and challenging application problems, including * case studies, including suitable descriptions of the problem setting, data and tools used, and ?lessons learnt?, * use cases, including task specifications, related tasks/approaches, challenges, and a sketch of possible KR solution, * benchmarks, including suitable descriptions of the dataset, reasoning tasks, and ideally some ?solution set? or gold standard, * system descriptions, including descriptions of the algorithm, implementation and empirical evaluation on a suitable dataset. We welcome the above kinds of papers on a wide range of topics, including classic KR tools/techniques as well as their usage for solving or supporting tasks in a range of areas, for example: * Computational Biology * Computer Vision and Image/Video Recognition * Creative Computing * Cybersecurity and Blockchain * Data Analytics * Databases and Query Answering * Diagnosis and Explanation * Game Theory and Social Choice * Intelligent Transportation and Logistics * Intelligent User Interfaces * Internet of Things * Machine Learning * Natural Language Processing * Digital Forensics * Robotics and Human Robot Collaboration * Semantic Web and Knowledge Graphs * Software Engineering * System Design We welcome submissions talking about interdisciplinary applications of KR, for example in economics, education, life sciences, medicine, and pharmacology. ------------------ Submission Guidelines and Evaluation Criteria ------------------ The Applications and Systems Track will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to Authors Guidelines for KR 2021. The track emphasizes applications of KR and development of KR systems, and welcomes contributions showcasing the impact of KR research as well as driving future research by presenting challenging data, use cases and problems together with observations and insights gained. Submissions will be rigorously peer reviewed by PC members, who are active in applications of KR and/or development of KR systems. Submissions will be evaluated on the basis of the overall quality of their technical contribution, including criteria such as originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art. In this track, the selection process of the highest quality papers will further apply the following criteria: - (for case studies) quality of the evaluation and significance of the ?lessons learnt? - (for use cases) importance and novelty of these use cases for KR - (for system descriptions) quality of the empirical evaluation and its reporting - (for benchmarks) reusability, coverage, and complexity of the datasets ------------------ Chairs ------------------ Martin Gebser (University of Klagenfurt & Graz University of Technology, Austria) Martin.Gebser at aau.at Uli Sattler (University of Manchester, UK) Uli.Sattler at manchester.ac.uk From mpavone at dmi.unict.it Sat Jan 16 17:04:32 2021 From: mpavone at dmi.unict.it (Mario Pavone) Date: Sat, 16 Jan 2021 23:04:32 +0100 Subject: Connectionists: Extended deadline OLA'2021 @Sicilia Italy Message-ID: <20210116230432.Horde.Aet8Veph4B9gA2LwG9KHllA@mbox.dmi.unict.it> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** OLA'2021 International Conference on Optimization and Learning 21-23 June 2021 Catania (Sicilia), Italy http://ola2021.sciencesconf.org/ **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2021 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2021 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... * KEYNOTE SPEAKER: Vittorio Maniezzo, University of Bologna, Italy "Machine Learning and combinatorial optimization, some posSible catalytic effects" * Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 10 pages Important dates: ================ Paper submission deadline Extended to Feb 05, 2021 Notification of acceptance March 24, 2021 * Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. All proceedings will be available at the conference. * Conference Steering Committee Chair El-Ghazali Talbi (Univ. Lille & INRIA, France) * Conference Chairs Mario Pavone (Univ. Catania, Italy) Lionel Amodeo (UTT, France) * Conference Program Chairs Bernab? Dorronsoro (Univ. Cadiz, Spain) Vincenzo Cutello (Univ. Catania, Italy) * Organization Committee Rocco A. Scollo (Univ. Catania, Italy) Antonio M. Spampinato (Univ. Catania, Italy) Georgia Fargetta (Univ. Catania, Italy) Carolina Crespi (Univ. Catania, Italy) Jeremy Sadet (Univ. Lille, France) Rachid Ellaia (EMI, Morocco) * Publicity Chairs Juan J. Durillo (Leibniz Supercomputing Center, Germany) Gr?goire Danoy (Univ. Luxembourg, Luxembourg) -- Mario F. Pavone, PhD Associate Professor Dept of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy --------------------------------------------- tel: +39 095 7383034 mobile: +39 3384342147 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ FB: https://www.facebook.com/mfpavone Skype: mpavone ============================================= From antona at alleninstitute.org Mon Jan 18 01:06:37 2021 From: antona at alleninstitute.org (Anton Arkhipov) Date: Mon, 18 Jan 2021 06:06:37 +0000 Subject: Connectionists: Tutorial on Modeling Tools: BMTK and SONATA Message-ID: Dear colleagues, Please join us for an online tutorial at the Allen Institute. Tools for modeling: The Brain Modeling Toolkit and SONATA data format January 28, 2021 | 10:00-11:00am PT Please register here: https://alleninstitute.org/what-we-do/brain-science/events-training/open-for-neuroscience-pre-symposium-tutorials/ The Brain Modeling Toolkit is a Python-based open software package for building, simulating, and analyzing large-scale neural network models. It supports the building and simulation of models at various scales. Dai et al., PLOS Comp. Bio., 2020a The Brain Modeling Toolkit is linked to SONATA, a standardized data format for storing networks and simulations. Dai et al., PLOS Comp. Bio., 2020b These are the software tools we used to build, simulate, and share our multi-scale models of mouse V1, which are freely available to the community. Billeh et al., Neuron, 2020 https://portal.brain-map.org/explore/models We are looking forward to seeing you there. Anton Arkhipov Associate Investigator T: 206.548.8414 [cidimage001.png at 01D5B043.A5662590] www.alleninstitute.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 7550 bytes Desc: image001.png URL: From carsten.mehring at biologie.uni-freiburg.de Sun Jan 17 15:55:25 2021 From: carsten.mehring at biologie.uni-freiburg.de (Carsten Mehring) Date: Sun, 17 Jan 2021 21:55:25 +0100 Subject: Connectionists: Postdoc position in Neurotechnology and Computational Neuroscience, University of Freiburg, Germany Message-ID: <88CF5BA2-9080-450C-B1CC-E12406AAC0FB@biologie.uni-freiburg.de> Postdoctoral research fellow in Neurotechnology and Computational Neuroscience Bernstein Centre and Institute of Biology III, University of Freiburg A postdoctoral research fellow position (German job title: ?akademischer Rat?) is available in the research group of Carsten Mehring at the Institute of Biology III and the Bernstein Center at the University of Freiburg, Germany. Our neuroscientific research group works on motor control and brain-computer interfaces and we are looking for a scientist who will work in research, teaching and academic self-administration. This is a fixed-term position that is initially limited to three years and can be extended for another three years. The position is full-time. The main responsibilities of the position are: * Research in motor control and/or brain-computer interfaces. * Teaching in the MSc./BSc. Biology and MSc. Neuroscience programs of the Faculty of Biology especially in the area of neuroscience. Conducting courses, lectures, seminars, tutorials as well as the related exams. Supervision of Bachelor students, Master students and PhD students. * Contributing to the organizational and administrative tasks of the group. * Writing grant proposals. Requirements for the position are: * Completed university studies (e.g. in neuroscience, biology, physics, computer science, mathematics, engineering or other relevant subjects). * In addition to the formal requirements for the public service position A13, a qualified doctorate in the field of neuroscience or another relevant field. * A high degree of initiative, commitment, independence, flexibility and team spirit * Very good command of English The salary will be according to A13. The opportunity for a habilitation is offered. The position is available immediately. Please send your application documents incl. a cover letter (incl. motivation for applying), CV, description of your research interests (max. 1 page), description of your teaching experience as a PDF file to Carsten Mehring, carsten.mehring at biologie.uni-freiburg.de . For further information, please contact Carsten Mehring at 0761 203-9570 or via email. -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Mon Jan 18 03:59:13 2021 From: timofte.radu at gmail.com (Radu Timofte) Date: Mon, 18 Jan 2021 09:59:13 +0100 Subject: Connectionists: CFP: CVPR 2021 New Trends in Image Restoration and Enhancement (NTIRE) workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 11 CHALLENGES NTIRE: 6th New Trends in Image Restoration and Enhancement workshop and challenges on defocus, deblurring, super-resolution, learning SR space, nonhomogeneous dehazing, image quality assessment, relighting, aerial image classification, enhancement of compressed videos, HDR In conjunction with CVPR 2021, June 15, Nashville, USA (VIRTUAL). Website: http://www.vision.ee.ethz.ch/ntire21/ Contact: radu.timofte at vision.ee.ethz.ch TOPICS ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video restoration, enhancement, manipulation on constrained settings ? Image/video processing on mobile devices ? Visual domain translation ? Multimodal translation ? Perceptual enhancement ? Perceptual manipulation ? Depth estimation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation, depth estimation ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 8 pages (excluding references) in CVPR style. http://cvpr2021.thecvf.com/node/33 The review process is double blind. Accepted and presented papers will be published after the conference in the CVPR 2021 Workshops Proceedings. Author Kit: http://cvpr2021.thecvf.com/sites/default/files/2020-09/cvpr2021AuthorKit_2.zip Submission site: https://cmt3.research.microsoft.com/NTIRE2021 WORKSHOP DATES ? *Regular Papers Submission Deadline: March 05, 2021* ? Challenge Papers Submission Deadline: March 28, 2021 IMAGE CHALLENGES 1. *Defocus Deblurring using Dual-Pixel Images* 2. *Depth Guided Relighting *(one-to-one and any-to-any) 3. *Perceptual Image Quality Assessment* 4. *Deblurring *(low resolution and JPEG artifacts) 5. *Multi-model Aerial View Classification* (SAR and EO) 6. *Learning the Super-Resolution Space * 7. *Nonhomogeneous Dehazing* VIDEO / MULTI-FRAME CHALLENGES 1. *Enhancement of Compressed Videos *(fixed bit-rate and fixed QP) 2. *Super-Resolution *(Spatial and Spatio-Temporal) 3. *Burst Super-Resolution* (Real and Synthetic) 4. *High Dynamic Range (HDR) * To learn more about the challenges, to participate in the challenges, and to access the data everybody is invited to check the NTIRE 2021 web page: http://www.vision.ee.ethz.ch/ntire21/ For those interested in constrained and efficient solutions validated on mobile devices we refer to the CVPR21* Mobile AI Workshop and Challenges:* https://ai-benchmark.com/workshops/mai/2021/ CHALLENGES DATES ? Release of train data: January 10, 2020 ? *Competitions end: March 08, 2020* ORGANIZERS ? Radu Timofte, ETH Zurich ? Shuhang Gu, OPPO & University of Sydney ? Kyoung Mu Lee, Seoul National University ? Michael S. Brown, York University ? Andreas Lugmayr, ETH Zurich ? Martin Danelljan, ETH Zurich ? Cosmin Ancuti, Universit? catholique de Louvain (UCL) ? Codruta O. Ancuti, University Politehnica Timisoara ? Lei Zhang, Alibaba & The Hong Kong Polytechnic University ? Ming-Hsuan Yang, University of California at Merced & Google ? Eli Shechtman, Creative Intelligence Lab at Adobe Research ? Seungjun Nah, Seoul National University, Korea ? Abdullah Abuolaim, York University, Canada ? Eduardo Perez-Pellitero, Huawei Noah's Ark Lab, UK ? Ales Leonardis, Huawei Noah's Ark Lab & University of Birmingham ? Seungjun Nah, Seoul National University ? Sanghyun Son, Seoul National University ? Suyoung Lee, Seoul National University ? Ren Yang, ETH Zurich ? Ruofan Zhou, EPFL ? Majed El Helou, EPFL ? Sabine S?sstrunk, EPFL ? Chao Dong, SIAT ? Jimmy Ren, SenseTime ? Oliver Nina, AF Research Lab ? Bob Lee, Wright Brothers Institute ? Jinjin Gu, University of Sydney ? Luc Van Gool, KU Leuven and ETH Zurich SPEAKERS (TBA) SPONSORS (TBA) Website: http://www.vision.ee.ethz.ch/ntire21/ Contact: radu.timofte at vision.ee.ethz.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From alberto.nogales at ceiec.es Mon Jan 18 07:27:46 2021 From: alberto.nogales at ceiec.es (Alberto Nogales Moyano) Date: Mon, 18 Jan 2021 13:27:46 +0100 Subject: Connectionists: Lecturer/researcher in Natural Language processing (NLP) with Deep Learning techniques Message-ID: At CEIEC research institute from Universidad Francisco de Vitoria, we offer a permanent position as a researcher/lecturer in the field of Natural Language Processing with Deep Learning. Find attached all the information in Spanish and English or at www.ceiec.es. Kind regards. -- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2021 Perfil puesto de investigador CEIEC.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 20969 bytes Desc: not available URL: From lucaonnix at gmail.com Mon Jan 18 13:01:04 2021 From: lucaonnix at gmail.com (luca onnis) Date: Mon, 18 Jan 2021 19:01:04 +0100 Subject: Connectionists: Research Fellow position in computational models of reading acquisition (Singapore) Message-ID: A Research Fellow position is available immediately for a project on computational models of reading acquisition in multilingual contexts, co-lead by Dr. Beth O?Brien (National Institutes of Education, Singapore) and Dr. Luca Onnis (University of Genoa, Italy). The position is based in Singapore. *Research Fellow *Centre for Research in Child Development ? *NRF2016-SOL002-11* The National Institute of Education invites suitable applications for the position of Research Fellow on a 12-month contract at the Office of Education Research (OER) Centre for Research in Child Development (CRCD). *Project Title: How language mixes contribute to effective bilingualism and biliteracy in Singapore* *Project Introduction:* The project aims to investigate how early aural language skills relate to the early stages of reading in bilingual children, and how this relationship is influenced by home exposure to different language mixes. We are seeking a highly motivated researcher with interests and expertise in computational modelling of language acquisition and literacy development, with a focus on multilingual contexts. The team has already developed a suite of in-house computational tools for simulating and analysing language and reading development, using linguistic databases, and combining simulation with experimentation. The successful applicant will be involved in the entire computational pipeline, from conception to deliverables, including: programming and testing neural network models, analysing multilingual corpora, running statistical analyses, managing the IT side of things, including workflow in the HPC. The applicant is expected to 'phase in? the ongoing project by continuing the coding of the existing tools. As such, applicants should be well versed in Python, R, and acquaintance with Unix/Linux. Experience with high-performance computing (HPC) environments and resource scheduling is preferred. *Requirements* Essential - PhD in Psychology, Cognitive Science, Linguistics, Computer science, Knowledge Engineering or equivalent work experience - Excellent programming skills - Experience in software programming, modelling and simulation, machine learning - Familiarity with Python, Unix (Lens), R, Windows, Mac OS, standard office software - Ability to work independently and as a team player - High degree of responsibility and maturity - Excellent organizational skills, task-oriented, attention to details and accuracy - Able to work within given deadlines Preferred - Prior experience with neural network modelling - Background and/or interest in Cognitive Science - Interest in high-level computational linguistics *Responsibilities* - Setting up, programming and testing computational models under supervision of coPIs - Managing and maintaining research data - Assisting with preparation of data output from modeling - Assist in central research data backup and archiving operations and procedures - Other duties as requested by PI?s *Application* Applicants should complete and submit the following item/s: - Application form for Research Positions ( https://www.nie.edu.sg/about-us/careers/submit-an-application) - Cover letter explaining how you meet the requirements of this position - Supporting documents as stated on the job application form - Other documents to support your qualifications Please send your application to: B.A. O?Brien, PhD, Principal Research Scientist Centre for Research in Child Development National Institute of Education 1 Nanyang Walk Singapore 637616 Tel: (65) 6219-6255 Email: beth.obrien at nie.edu.sg -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tom.Hanika at cs.uni-kassel.de Mon Jan 18 09:57:39 2021 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Mon, 18 Jan 2021 15:57:39 +0100 Subject: Connectionists: [DEADLINE EXTENSION: CfP] -- ICFCA 2021 -- 16th Intern. Conf. on Formal Concept Analysis (June 29 -- July 2, 2021, Strasbourg, France) Message-ID: <4a293a6b-7ae4-28f1-1376-de9b52ab84a1@cs.uni-kassel.de> ================================================================================ ?ICFCA 2021 ?16th International Conference on Formal Concept Analysis ?June 29 -- July 2, 2021, Strasbourg, France ?Web: ?Mail: icfca2021 at sciencesconf.org ================================================================================ * Important Dates Due to numerous requests, we have extended the deadlines *by one week*. Submission of abstract: *January 25, 2021* (previously *January 18, 2021*) Submission of full paper: *February 3, 2021* (previously *January 25, 2021*) Notification of acceptance: March 16, 2021 Camera ready due: April 5, 2021 Conference: June 29 -- July 2, 2021 All deadlines are 23:59 Anywhere on Earth (AoE). * Overview Formal Concept Analysis emerged in the 1980's from attempts to restructure lattice theory in order to promote better communication between lattice theorists and potential users of lattice theory. Since its early years, Formal Concept Analysis has developed into a research field in its own right with a thriving theoretical community and a rapidly expanding range of applications in information and knowledge processing including visualization, data analysis (mining) and knowledge management and discovery. The ICFCA conference series aims at bringing together researchers and practitioners working on theoretical or applied aspects of Formal Concept Analysis within major related areas such as Mathematics and Computer and Information Sciences and their diverse applications to fields like Software Engineering, Linguistics, Life and Social Sciences, etc. All accepted submissions will be refereed, and the conference proceedings will be published by Springer in the LNCS/LNAI series. * Topics Main topics of interest include, but are not limited to: ** Fundamental aspects of FCA - FCA theory - Lattice theory - Lattice drawing - Philosophical foundations - Algorithms and complexity theory ** Bridging FCA to information sciences and artificial intelligence - FCA and logic, e.g., semantic web, description logics - FCA and conceptual structures, e.g., concept graphs, knowledge spaces - FCA and data analysis, e.g., hierarchical classification, data organization - FCA and data mining, e.g., pattern mining - FCA and information retrieval, e.g. exploratory search, navigation, querying - FCA and machine learning, e.g., learning with hypothesis, feature selection - FCA and database theory, e.g., dependencies, rules, data cubes - FCA and software engineering - FCA and morphological mathematics ** Understanding, modelling real-world data and phenomena with FCA - Analysis of "big data" with FCA, e.g., sampling, parallel computing - Analysis of social networks and their dynamics - Applications for scientific data analysis, e.g., in biology or health care - Applications for sensors data and user interactions traces - Other FCA applications * Submission Details We invite scientific publications on theory and applications of Formal Concept Analysis.? Papers of up to sixteen pages may be submitted in the PDF format via the Easychair system ? . Authors are requested to follow the formatting instructions for the Springer LNCS style [1]. Submissions in LaTeX2e are preferred. Authors are encouraged to provide an ORCID alongside their submission [2]. Accepted papers have to be presented at the conference. Therefore, at least one author per paper has to register timely. [1]: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines [2]: https://www.springer.com/gp/authors-editors/orcid * Organization The conference will be hosted by Universit? de Strasbourg ** Conference Chairs Florence Le Ber, ICUBE, Universit? de Strasbourg, CNRS, ENGEES, France Agn?s Braud, ICUBE, Universit? de Strasbourg,? CNRS, France ** Program Chairs Aleksey Buzmakov, Higher School of Economics, Russia Tom Hanika, Universit?t Kassel, Germany ** Editorial Board Jaume Baixeries, Polytechnic University of Catalonia, Catalonia Karell Bertet, L3I, Universit? de La Rochelle, France Peggy Cellier, IRISA lab, Rennes, France Sebastien Ferr?, Universit? de Rennes 1, France Bernhard Ganter, Technische Universit?t Dresden, Germany Dmitry Ignatov, Higher School of Economics, Moscow, Russia Mehdi Kaytoue, INSA-Lyon, LIRIS, France Sergei Kuznetsov, Higher School of Economics, Moscow, Russia Leonard Kwuida, Bern University of Applied Sciences Rokia Missaoui, Universit? du Qu?bec en Outaouais (UQO), Canada Amedeo Napoli, LORIA, Nancy, France Sergei Obiedkov, Higher School of Economics, Moscow, Russia Manuel Ojeda-Aciego, University of Malaga, Spain Uta Priss, Ostfalia University of Applied Sciences, Wolfenb?ttel, Germany Sebastian Rudolph, Technische Universit?t Dresden, Germany Christian Sacarea, Babes-Bolyai University of Cluj-Napoca, Romania Stefan E. Schmidt, Technische Universit?t Dresden, Germany Bar?? Sertkaya, Frankfurt University of Applied Sciences, Germany Gerd Stumme, Universit?t Kassel, Germany Petko Valtchev, Universit? du Qu?bec ? Montr?al, Canada Karl Erich Wolff, University of Applied Sciences, Darmstadt, Germany ** Program Committee (tentative) Fran?ois Brucker, Centrale Marseille, France Victor Codocedo, Universidad T?cnica Federico Santa Mar?a, Chile Pablo Cordero, University of M?laga, Spain Diana Cristea, Babes-Bolyai University Cluj-Napoca, Romania Christophe Demko, L3I lab, Universit? de La Rochelle, France Jean Diatta, Universit? de la R?union, France Stephan Doerfel, MICROMATA GmbH, Germany Xavier Dolques, ICube, Universit? de Strasbourg, France Alain G?ly, Universit? Paul Verlaine, Metz, France Marianne Huchard, LIRMM, Universit? Montpellier, France Robert J?schke, IBI, Humboldt-Universit?t zu Berlin, Germany Jan Konecny, Palacky University, Olomouc, Czech Republic Michal Krupka, Palacky University, Olomouc, Czech Republic Marzena Kryszkiewicz, Warsaw University of Technology, Poland Wilfried Lex, Universit?t Clausthal, Germany Tatiana Makhalova, Universit? de Lorraine, France Jes?s Medina, Cadiz University, Spain Engelbert Mephu Nguifo, LIMOS, Universit? de Clermont Ferrand 2, France Lhouari Nourine, LIMOS, Universit? de Clermont Ferrand 2, France Jan Outrata, Palacky University of Olomouc, Czech Republic Jean-Marc Petit, LIRIS, INSA Lyon, France Pascal Poncelet, LIRMM, Universit? Montpellier, France Sandor Radeleczki, University of Miskolc, Hungary Henry Soldano, Universit? Paris 13, France Laszlo Szathmary, University of Debrecen, Hungary Andreja Tepav?evi?, University of Novi Sad, Serbia Martin Trnecka, Palacky University, Olomouc, Czech Republic Jean-Fran?ois Viaud, L3I lab, Universit? de La Rochelle, France From Tom.Hanika at cs.uni-kassel.de Mon Jan 18 11:33:31 2021 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Mon, 18 Jan 2021 17:33:31 +0100 Subject: Connectionists: [CFP] 26th International Conference on Conceptual Structures (ICCS 2021) at Bolzano Summer of Knowledge, Bolzano, Italy Message-ID: <3087b78b-00e3-b002-6935-da16e5d0ed9f@cs.uni-kassel.de> [Apologies for multiple postings.] ************************************************************ Call for Papers: 26th International Conference on Conceptual Structures (ICCS 2021) September 20th-23rd, 2021, Bolzano, Italy Website: https://iccs-conference.org Twitter: @iccs_confs Contact us:? contact at iccs-conference.org ************************************************************ *************** About ICCS: *************** The International Conferences on Conceptual Structures (ICCS) focus on the formal analysis and representation of conceptual knowledge, at the crossroads of artificial intelligence, human cognition, computational linguistics, and related areas of computer science and cognitive science. The ICCS conferences evolved from a series of seven annual workshops on conceptual graphs, starting with an informal gathering hosted by John F. Sowa in 1986. Recently, graph-based knowledge representation and reasoning (KRR) paradigms are getting more and more attention. With the rise of quasi-autonomous AI, graph-based representations provide a vehicle for making machine cognition explicit to its human users. This year ICCS 2021 is a part of ?Bolzano Summer of Knowledge? (BOSK 2021,https://summerofknowledge.inf.unibz.it/) which will take place in Bolzano, Italy during the month of September, 2021. Scholars, students and industry participants from different disciplines will meet for several weeks of conferences, workshops, summer schools, and public events, to engage with the broad topics, issues and challenges related to knowledge in the 21st century. Submissions are invited on significant, original, and previously unpublished research on the formal analysis and representation of conceptual knowledge in artificial intelligence (AI). All papers will receive mindful and rigorous reviews that will provide authors with useful critical feedback. The aim of the ICCS 2021 conference is to build upon its long-standing expertise in graph-based KRR and focus on providing modelling, formal and application results of graph-based systems. The conference welcomes contributions that address graph-based representation and reasoning paradigms (e.g. Bayesian Networks (BNs), Semantic Networks (SNs), RDF(S), Conceptual Graphs (CGs), Formal Concept Analysis (FCA), CP-Nets, GAI-Nets, Graph Databases, Diagrams, Knowledge Graphs, Semantic Web, etc.) from a modelling, theoretical and application viewpoint. ********** Topics: ********** Topics include but are not limited to: Existential and Conceptual Graphs Graph-based models for human reasoning Social network analysis Formal Concept Analysis Conceptual knowledge acquisition Data and Text mining Human and machine reasoning under inconsistency Human and machine knowledge representation and uncertainty Automated decision-making and argumentation Preferences Contextual logic Ontologies Knowledge architecture and management Semantic Web, Web of Data, Web 2.0 Conceptual structures in natural language processing and linguistics Metaphoric, cultural or semiotic considerations Constraint satisfaction Resource allocation and agreement technologies Philosophical, neural, and didactic investigations of conceptual, graphical representations ******************** Important Dates: ******************** - Abstract submission deadline: April 9th, 2021 - Full paper submission deadline: April 16th, 2021 - Poster submission deadline: April 16th, 2021 ? (Posters do not require advance abstract submission) - Paper Reviews Sent to Authors: May 28th, 2021 - Rebuttals Due: June 6th, 2021 - Notification to authors: June 6th, 2021 - Camera-ready papers due: June 25th, 2021 ******************** Submission Details: ******************** We invite scientific papers of up to *fourteen pages*, short contributions up to *eight pages* and extended poster abstracts of up to three pages. Papers and posters must be formatted according to Springer?s LNCS style guidelines and not exceed the page limit. Papers will be subject to *double-blind peer review*, in which the reviewers do not know the identity of authors, and the submission should be done via EasyChair -> see conference website. All paper submissions will be refereed and authors will have the opportunity to respond to reviewers? comments during the rebuttal phase. Accepted papers will be included in the conference proceedings, which are expected to be published by Springer in the LNCS/LNAI series. Poster submissions will also be refereed but will not be included in the conference proceedings. At least one author of each accepted paper or poster must register for the conference and present the paper or poster there. Proceedings will be submitted for indexation by DBLP (cf https://dblp.org/db/conf/iccs/index.html). *************** Organizers: *************** General Chair: Tanya Braun, Institute of Information Systems, University of L?beck, Germany Program Chairs: Marcel Gehrke, Institute of Information Systems, University of L?beck, Germany Tom Hanika, Knowledge & Data Engineering, University of Kassel, Germany Nathalie Hernandez, Institut de Recherche en Informatique de Toulouse, France ***************************************** From srodrigues at bcamath.org Mon Jan 18 16:16:29 2021 From: srodrigues at bcamath.org (Serafim Rodrigues) Date: Mon, 18 Jan 2021 22:16:29 +0100 Subject: Connectionists: ikerbasque postdoctoral fellow: Track towards permanent position Message-ID: Dear all, Ikerbasque, the Basque Foundation for Science, has launched a new international call to reinforce research and scientific careers in the Basque Country. In particular it announces the following: - 20 positions for experienced postdoctoral researchers Ikerbasque Research Fellows (see link ) - 5-year contracts, during the last year the researcher can be assessed to obtain a permanent contract - PhD degree between Jan2010 - Dec2018 As leader of the Mathematical Computational and Experimental Neuroscience (MCEN) research line I would like to support candidates for these positions Potential candidates: Please send before Feb 9th 2021 the following information: - updated CV and two reference letters to: srodrigues at bcamath.org With kind regards Serafim -- Serafim Rodrigues Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues at bcamath.org | www.bcamath.org/srodrigues *(**matematika mugaz bestalde)* -------------- next part -------------- An HTML attachment was scrubbed... URL: From pomarien at gmail.com Mon Jan 18 11:12:10 2021 From: pomarien at gmail.com (Samir ouchani) Date: Mon, 18 Jan 2021 17:12:10 +0100 Subject: Connectionists: [MEDI 2021] Call for Workshops Message-ID: Call for Workshops: 10th International Conference on Model and Data Engineering (MEDI 2021) 21 - 23 June 2021, Tallinn, Estonia https://cs.ttu.ee/events/medi2021/ The MEDI Main Conference: ----------------------- The Tenth International Conference on Model & Data Engineering (MEDI) will be held from 21 to 23 June 2021 in Tallinn, Estonia. Its main objective is to provide a forum for the dissemination of research accomplishments and to promote the interaction and collaboration between the models and data research communities. MEDI 2021 provides an international platform for the presentation of research on models and data theory, development of advanced technologies related to models and data, and their advanced applications. This international scientific event, initiated by researchers from Euro-Mediterranean countries aim at promoting the creation of north-south scientific networks, projects, and faculty/student exchanges. The conference is accompanied by satellite events, including demonstration papers and workshops. Workshops --------- Typically, workshops focus on multiple topics related to model and data engineering. For this edition, we would also like to encourage workshops focusing on practical applications of research in business/industry and on joint projects run by industry and research entities. The list of workshop topics is not limited to the aforementioned and we encourage representatives of research and business to submit workshop proposals promoting their achievements. Workshop Proposal Submission Procedure -------------------------------------- Workshop proposals should be emailed to the workshop chairs: ? George Chernishev, Saint-Petersburg University, Russia: g.chernyshev at spbu.ru ? Samir Ouchani, Lineact CESI Engineering School, France: souchani at cesi.fr ? Antonio Corral, University of Almeria, Spain: acorral at ual.es ? J?ri Vain, Tallinn University of Technology, Estonia: juri.vain at taltech.ee The proposal should include: ? Workshop title ? Estimated length (one day or half-day) ? Names, affiliations, and e-mails of PC chairs ? Short bios of the workshop PC chairs, including previous experience in organizing workshops or conferences (if applicable) ? A (tentative) list of PC (if possible) ? The main goals of the workshop ? The list of workshop topics o Preliminary CFP o How information about the workshop will be disseminated and how papers will be solicited The organizers accepted workshops are expected to organize the workshop's program committee, disseminate the workshop call for papers, solicit submissions, conduct the reviewing process and prepare the final workshop program. The official language of the workshops is English. Organizational Support ---------------------- Workshops will benefit from the MEDI 2021 organizational infrastructure and receive support w.r.t. registration, badges, lunches, coffee breaks, and publication of the workshop proceedings. Publication ----------- Workshop papers will be published by Springer in "Communications in Computer and Information Science". Best papers from all accepted workshops will be selected for a special issue. Important Dates --------------- ? Submission of workshop proposals: January 24th, 2021 ? Workshop acceptance/rejection notification: January 24th, 2021 ? Camera-ready: June 9, 2021 ? Workshops: June 21-22, 2021 A detailed workshop timeline, i.e., deadlines for submissions, reviews, camera-ready due, are proposed by the workshop PC chairs, in agreement with the MEDI 2021 workshop chairs. MEDI 2021 workshop chairs George Chernishev, Samir Ouchani, Corral Antonio, and J?ri Vain -------------- next part -------------- An HTML attachment was scrubbed... URL: From wduch at umk.pl Tue Jan 19 04:56:20 2021 From: wduch at umk.pl (Wlodzislaw Duch) Date: Tue, 19 Jan 2021 10:56:20 +0100 Subject: Connectionists: Neural Models of Conspiracy Theories. Message-ID: <018201d6ee49$5724a150$056de3f0$@umk.pl> Dear Connectionists, research on conspiracy theories has been vigorously pursued by historians, philosophers, psychologist, sociologists or political scientists (Routledge has a whole series of books on conspiracy theories), but our understanding of the brain mechanisms is completely lacking. European Union sponsors cooperation within ?Comparative Analysis of Conspiracy Theories? (COMPACT) COST action program. Unfortunately there are no members of this action concerned with brain mechanisms behind conspiracy theories. Even discussion panel ?Are We Hard-Wired to Believe in Conspiracy Theories?? during COMPACT meeting did not included neuroscience experts. This is perhaps not surprising, as not much has been written on this subject in neuroscience literature. I thought that it is time to change it, investigate deeper reasons related to brain processes that are behind believes in conspiracy theories. A few years ago I have made a model of learning and associative memory distortions, and have now updated it. This is now a very important subject so perhaps time is ripe to work on it also from the neural modeling perspective. Memetics and Neural Models of Conspiracy Theories. Abstract: Conspiracy theories, or in general seriously distorted beliefs, are widespread. How and why are they formed in the brain is still more a matter of speculation rather than science. In this paper one plausible mechanisms is investigated: rapid freezing of high neuroplasticity (RFHN). Emotional arousal increases neuroplasticity and leads to creation of new pathways spreading neural activation. Using the language of neurodynamics a meme is defined as quasi-stable associative memory attractor state. Depending on the temporal characteristics of the incoming information and the plasticity of the network, memory may self-organize creating memes with large attractor basins, linking many unrelated input patterns. Memes with fake rich associations distort relations between memory states. Simulations of various neural network models trained with competitive Hebbian learning (CHL) on stationary and non-stationary data lead to the same conclusion: short learning with high plasticity followed by rapid decrease of plasticity leads to memes with large attraction basins, distorting input pattern representations in associative memory. Such system-level models may be used to understand creation of distorted beliefs and formation of conspiracy memes, understood as strong attractor states of the neurodynamics. https://arxiv.org/abs/1508.04561 see the updated version v1 With best regards, W?odzis?aw Duch Fellow, International Neural Network Society, Past President, European Neural Network Society Head of Neuroinformatics and Artificial Intelligence Group, Center of Excellence, and Neurocognitive Laboratory, CMIT Nicolaus Copernicus University, Poland Google: Wlodzislaw Duch -------------- next part -------------- An HTML attachment was scrubbed... URL: From albagarciaseco at gmail.com Tue Jan 19 09:13:57 2021 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Tue, 19 Jan 2021 15:13:57 +0100 Subject: Connectionists: CFP: Special track on Explainable Machine Learning models in Medical Imaging @CBMS 2021 Message-ID: Call for papersSpecial track on Explainable Machine Learning models in Medical Imaging Computational medical imaging techniques aim towards enhancing the diagnostic performance of visual assessments in medical imaging, improving the early diagnosis of various diseases, helping to obtain a deeper understanding of physiology and pathology, and therefore contributing to advance the field of Quantitative Radiology. To reach these goals, medical image computing and signal processing are commonly combined with biophysical models, which describe explicitly the organ or tissue under investigation. Machine Learning (ML) models revolutionised multiple tasks in medical image computing, such as image segmentation, registration and synthesis, through the extensive analysis of big imaging data. Although ML models outperform classic approaches on the above tasks, they remain to a large extend implicit in terms of describing the data under investigation. This limits ML model interpretability, which in turn is one of the main barriers towards ML-based pathology detection assessments and generalised single- or multi-modal ML analysis in medical imaging. Moreover, in modern clinical practices and settings, detailed explanations of the model behaviours are increasingly required to support reliability towards improving clinical decision making. Model explainability becomes also critical when data integration techniques are required to cross-assess learning performance from imaging data against mutual, complementary or ?clinical reference standard? information from ?additional modalities? (either imaging, or other types of biomedical/clinical data such as invasive methods or *ex vivo *analysis, and/or other). To support further development of ML models for clinical applications, model explainability is highly important towards enhancing generalisability, trustworthiness, causality, transferability, informativeness, confidence, accessibility and interactivity. Last not least, being of the most promising topics in ML/medical imaging research, the main challenge for developing explainable models is to improve explainability whilst maintaining high learning performances. The main objective of this special issue is to attract original high-quality research and survey articles that reflect the most recent advanced on explainable ML models in medical imaging (MRI, CT, PET, SPECT, Ultrasound and other), by investigating novel methodologies either through interpreting algorithm components and/or exploring algorithm-data relationships. We welcome researchers from both academia and industry, to present their state-of- the-art scientific developments, technologies, and ideas covering all possible aspects of explainable ML models in medical imaging. Topics of interest include (but are not limited to): ? Develop and interpret ML models in single- or multi-modal (MRI, CT, Ultrasound, PET, SPECT) imaging (using either single- or multiple-inputs and thus, biophysical information) ? To improve explainability, combine ML with biophysical modelling and/or visual assessments from additional/complementary imaging modalities (e.g. multiple sequences in MRI, or combining MRI with Ultrasound, CT, PET or SPECT) ? To improve explainability, combine ML with other types of ?reference standard? input data (e.g. clinical data, electrophysiology signals, molecular analysis, invasive methods) that can enhance ML interpretability in medical imaging ? Enhance explainability through combining multiple tasks (e.g. segmentation and/ or image synthesis)/ Multi-task learning on multi-modality medical images ? Enhance explainability by incorporating graphical deep learning models for single- or multi-modality image analysis ? Solidify explainability in cross-domain image synthesis between different imaging modalities or sequences (e.g. from different MRI sequences, or MRI and CT, etc.) ? Transfer learning and transferability for single- or multi-modality medical images ? ML model explainability in semi-supervised, weakly-supervised and unsupervised learning in medical imaging ? Post-hoc explainability techniques for ML models in single- or multi-modality images ? Enhance explainability through developing ML models to detect or predict pathology versus healthy statuses ? Explain strengths and weaknesses of ML models through quantitative evaluation and interpretation of algorithm performances Paper submission guidelines Authors are invited to submit their original contributions before the deadline following the conference submission guidelines. Each contribution must be prepared following the IEEE two-column format, and should not exceed the length of 6 (six) Letter-sized pages. For detailed instructions please visit: https://cbms2021.web.ua.pt/ All submissions will be peer-reviewed by three reviewers of the Program Committee. All accepted papers will be included in the conference proceedings, and will be published by the IEEE. For each accepted paper, at least one author must register at the conference before the Author Registration Deadline. Publication in proceedings is conditioned to the registration and presentation of the paper at the conference by one of their authors. If the paper is not presented at the conference, it will not be included in the proceedings. Authors of the best papers will be invited to submit an extended contribution to a journal special issue. Important dates ? *Paper submission deadline: *February 5, 2021 ? *Notification of acceptance:* March 26, 2021 ? *Camera-ready due:* April 16, 2021 ? *Registration* ? *Early registration deadline:* April 16, 2021 ? *Conference: *June 7, 2021 More informationWebpage: https://essexnlip.uk/cbms2021/ Special Track Chairs ? Dr Giorgos Papanastasiou , University of Essex, UK [g.papanastasiou(at)essex.ac.uk] ? Dr Alba Garc?a Seco de Herrera , University of Essex, UK [alba.garcia(at)essex.ac.uk] ? Dr Chengjia Wang , University of Edinburgh, UK [Chengjia.Wang(at)ed.ac.uk] ? Professor Heye Zhang, Sun Yat-sen University, China [ZhangHeye(at) mail.sysu.edu.cn] ? Dr Guang Yang , Imperial College London, UK [G.Yang(at)imperial.ac.uk] Program committee members Sotirios A. Tsaftaris, University of Edinburgh, UK Gabriele Valvano, IMT Lucca, Italy Victor Gonzalez-Castro, University of Leon, Spain Lin Gu, RIKEN AIP, University of Tokyo, Japan Hao Dong, Peking University, China Zhangming Niu, Aladdin Healthcare Technologies, Germany Chunliang Wang, KTH Royal Institute of Technology, Sweden Sivarama Krishan Rajaraman, NIH/NLM, USA Emanuele Trucco, University of Dundee, UK George Matsopoulos, National Technical University of Athens, Greece David Rodriguez Gonzalez, University of Cantabria, Spain Sammy Danso, University of Edinburgh Xurui Jin, Duke Kunshan University, China-USA Adrian Clark, University of Essex, UK Adrian Mart?n Fern?ndez, Pompeu Fabra University, Spain Eirini Christinaki, KU Leuven, Belgium Oscar Jim?nez del Toro, University of Applied Sciences Western Switzerland, Switzerland Rakkrit Duangsoithong, Prince of Songkla University, Thailand Dr Alba Garc?a Seco de Herrera PhD Lecturer Department of Computer Science and Electronic Engineering (CSEE) University of Essex T +44 (0) 1206 872907 E alba.garcia at essex.ac.uk ? https://www.essex.ac.uk/ WE ARE ESSEX ResponderReenviar -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.mandic at imperial.ac.uk Wed Jan 20 03:37:20 2021 From: d.mandic at imperial.ac.uk (Danilo Mandic) Date: Wed, 20 Jan 2021 08:37:20 +0000 Subject: Connectionists: Free donwload: Data Analytics on Graphs, in Foundations & Trends on Machine Learning Message-ID: <12385889-428c-83e1-e62d-d6307d27dd6c@imperial.ac.uk> Hi All, Just a quick note that the publisher has made a series of our our three articles in Foundations & Trends on Machine Learning available for a free download from: Volume 13,?Issue 1 *Data Analytics on Graphs Part I: Graphs and Spectra on Graphs* By Ljubi?a Stankovic, Danilo Mandic, Milo? Dakovic, Milo? Brajovic, Bruno Scalzo, Shengxi Li and Anthony G. Constantinides https://nowpublishers.com/article/Details/MAL-078-1 Volume 13,?Issue 2-3 *Data Analytics on Graphs Part II: Signals on Graphs* By Ljubi?a Stankovic, Danilo Mandic, Milo? Dakovic, Milo? Brajovic, Bruno Scalzo, Shengxi Li and Anthony G. Constantinides https://nowpublishers.com/article/Details/MAL-078-2 Volume 13,?Issue 4 *Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications * By Ljubi?a Stankovic, Danilo Mandic, Milo? Dakovic, Milo? Brajovic, Bruno Scalzo, Shengxi Li and Anthony G. Constantinides https://nowpublishers.com/article/Details/MAL-078-3 This link will be active until the 21 January. Please help yourself! Danilo ---- Prof Danilo Mandic Imperial College London, UK www.commsp.ee.ic.ac.uk/~mandic -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.decampos at posteo.net Wed Jan 20 08:27:33 2021 From: c.decampos at posteo.net (Cassio de Campos) Date: Wed, 20 Jan 2021 14:27:33 +0100 Subject: Connectionists: CFP: UAI 2021 - Submission site is open Message-ID: <060332AC-4D72-41E9-97BB-5FC7CB34786C@posteo.net> The Conference on Uncertainty in Artificial Intelligence (UAI) is one of the premier international conferences on research related to learning and reasoning in the presence of uncertainty. UAI 2021 will be held fully online from 27 to 30 July 2021. We invite papers that describe novel theory, methodology and applications related to artificial intelligence, machine learning and statistics. Papers will be assessed based on their novelty, technical quality, potential impact and clarity of writing. More detailed information can be found on the conference website: https://www.auai.org/uai2021/ All accepted papers will be presented in poster sessions and spotlight presentations in a single plenary track to ensure good visibility. Selected papers will have longer presentations and an assigned discussant to foster debate. All accepted papers will be published in a volume of Proceedings of Machine Learning Research (PMLR). Important dates: February 19, 2021 (23:59 UTC): Paper submission deadline April 14-20, 2021: Author response period May 12, 2021: Author notification We are looking forward to building an exciting program and will do our best to leverage the advantages that an online conference can create. If you have any particular positive or negative experience that you would like to share with us, please do not hesitate to write us an email. Very soon there will be a call for workshop proposals too, stay tuned. Cassio de Campos and Marloes Maathuis UAI 2021 Program Chairs uai2021programchairs at gmail.com From matej.hoffmann at fel.cvut.cz Wed Jan 20 11:11:11 2021 From: matej.hoffmann at fel.cvut.cz (Matej Hoffmann) Date: Wed, 20 Jan 2021 17:11:11 +0100 Subject: Connectionists: [jobs] postdoc and PhD position on body schema modeling @CTU Prague Message-ID: <55ea1434-06ba-f254-349e-af757ef8c4d8@fel.cvut.cz> * Dear colleagues, there is a postdoc and PhD openingin the humanoid, cognitive, and neurorobotics group (https://cyber.felk.cvut.cz/research/groups-teams/humanoids/) coordinated by Dr. Matej Hoffmann (https://sites.google.com/site/matejhof/) at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. The topics are in the context of a 5-year project entitled ?Whole-body awareness for safe and natural interaction: from brains to collaborative robots? for excellence in fundamental research from the Czech Science Foundation (see https://cyber.felk.cvut.cz/news/new-gacr-expro-project for more information) and include: - Analysis and modeling of infant behavioral data related to reaching, reaching to the self, and mirror self-recognition - Employing humanoid robots with artificial skin to construct embodied computational models of body and peripersonal space representations - Neural network models of multisensory integration and peripersonal space - Social human-robot interaction focusing on touch and interpersonal distance Open positions: Postdoc. The postdoc will independently conduct research and will also be involved in shaping the research of the group and supervising students. The gross salary will be in the range of CZK 50 000-70 000 per month (approx. 2000-2700 EUR) depending on qualification, plus direct bonuses for scientific achievements such as top-tier publications. PhD student. The topic will be co-defined with the student depending on his skills and interests. The standard duration of the PhD study is 4 years. The funding corresponds to a gross salary of CZK 45 000 per month (approx. 1750 EUR), plus direct bonuses for scientific achievements such as top-tier publications. Robots and infrastructure The humanoids group has at its disposal several humanoid robots (iCub, 2 Naos - 1 with whole-body sensitive skin) and collaborative or lightweight manipulators (KUKA LBR iiwa, UR10e with Airskin, Kinova Gen3). Additional infrastructure includes several robot hands (Barrett Hand BH8-282, QB Soft Hand) and grippers, a 3D Motion Capture System, impact measuring devices, etc.? The group has also access to the facilities of the Research Center for Informatics such as a high-performance computational cluster. International collaborations There is a large group of international experts who have agreed to act as collaborators/advisors on the project. These include experts in - developmental psychology: Dr. Kevin O?Regan (CNRS, Paris), Prof. Jeffrey J. Lockman (Tulane University, New Orleans) - cognitive psychology and neuroscience: Prof. Matthew Longo (Birkbeck University, London), Prof. Tobias Heed (Bielefeld), Prof. Andrea Serino (University of Lausanne), Dr. Jean-Paul Noel (Center for Neural Science at New York University), Drs. M.Gori and Giulia Cappagli (Italian Institute of Technology, Dr. S. Signorini (IRCSS Fondazione Mondino Pavia) - physical human-robot interaction: Prof. Sami Haddadin (TU Munich),? Dr. Arash Ajoudani (Italian Institute of Technology), Dr. Michael Zillich (Blue Danube Robotics ? manufacturer of Airskin) - social human-robot interaction: Dr. Alessandra Sciutti (Italian Institute of Technology), Dr. Hagen Lehmann (University of Macerata) Prague There is currently a very lively international ecosystem in the areas of robotics and AI - at the Department and in Prague in general. See, for example, http://rci.cvut.cz/or https://prg.ai/en/. How to apply. The application should include: -Motivation letter (max. 1 page) - CV (including 2 reference persons) -1 Letter of recommendation (can be from 1 of the reference persons above) Please send the applications or inquiries to matej.hoffmann at fel.cvut.czwith (?PhD application? or ?postdoc application? in the subject). The positions are open until filled. Best regards, Matej Hoffmann * -- Matej Hoffmann, PhD Assistant Professor Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague https://sites.google.com/site/matejhof/home +420 224 357 387 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jiangdm at nwpu.edu.cn Wed Jan 20 20:43:05 2021 From: jiangdm at nwpu.edu.cn (=?UTF-8?B?6JKL5Yas5qKF?=) Date: Thu, 21 Jan 2021 09:43:05 +0800 (GMT+08:00) Subject: Connectionists: ICMI 2021 FINAL Call for Multimodal Grand Challenges Message-ID: <5f3c0645.4c5.177229c00f9.Coremail.jiangdm@nwpu.edu.cn> *************************************** ICMI 2021: Call for Multimodal Grand Challenges http://icmi.acm.org/2021/index.php?id=challenges 18-22 Oct 2021, Montreal, Canada *************************************** We are calling for teams to propose one or more ICMI Multimodal Grand Challenges. The International Conference on Multimodal Interaction (ICMI) is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. Developing systems that can robustly understand human-human communication or respond to human input requires identifying the best algorithms and their failure modes. In fields such as computer vision, speech recognition, computational (para-) linguistics and physiological signal processing, for example, the availability of datasets and common tasks have led to great progress. We invite the ICMI community to collectively define and tackle the scientific Grand Challenges in our domain for the next 5 years. ICMI Multimodal Grand Challenges aim to inspire new ideas in the ICMI community and create momentum for future collaborative work. Analysis, synthesis, and interactive tasks are all possible. Challenge papers will be indexed in the main proceedings of ICMI. We invite organizers from various fields related to multimodal interaction to propose and run Grand Challenge events. We are looking for exciting and stimulating challenges including but not limited to the following categories: - Dataset-driven challenge: This challenge will provide a dataset that is exemplary of the complexities of current and future multimodal problems, and one or more multimodal tasks whose performance can be objectively measured and compared in rigorous conditions. Participants in the Challenge will evaluate their methods against the challenge data in order to identify areas of strengths and weaknesses. - Use-case challenge: This challenge will provide an interactive problem system (e.g. dialog-based or non-verbal-based) and the associated resources, which can allow people to participate through the integration of specific modules or alternative full systems. Proposers should also establish systematic evaluation procedures. - Health challenge: This challenge will provide a dataset that is exemplary of a health related task, whose analysis, diagnosis, treatment or prevention can be aided by Multimodal Interactions. The challenge should focus on exploring the benefits of multimodal (audio, visual, physiological, etc) solutions for the stated task. - Policy challenge: Legal, ethical, and privacy issues of Multimodal Interaction systems in the age of AI. The challenge could revolve around opinion papers, panels, discussions, etc. Prospective organizers should submit a five-page maximum proposal containing the following information: 1.Title 2.Abstract appropriate for possible Web promotion of the Challenge 3.Distinctive topics to be addressed and specific goals 4.Detailed description of the Challenge and its relevance to multimodal interaction 5.Length (full day or half day) 6.Plan for soliciting participation 7.Description of how submissions (challenge?s submissions and papers) will be evaluated, and a list of proposed reviewers 8.Proposed schedule for releasing datasets (if applicable) and/or systems (if applicable) and receiving submissions 9.Short biography of the organizers (preferably from multiple institutions) 10.Funding source (if any) that supports or could support the challenge organization 11.Draft call for papers; affiliations and email address of the organisers; summary of the Grand Challenge; list of potential Technical Program Committee members and their affiliations, important dates Proposals will be evaluated based on originality, ambition, feasibility, and implementation plan. A Challenge with dataset(s) or system(s) that has had pilot results to ensure its representativity and suitability to the proposed task will be given preference for acceptance; an additional 1 page description must be attached in such case. Continuation of or variants on the 2019 challenges are welcome, though we ask for submissions of this form to highlight the number of participants that attended during the previous year and describe what changes (if any) will be made from the previous year. The ICMI organizers will offer support with basic logistics, which includes rooms and equipment to run the Workshop, coffee breaks can be offered if synchronised with the main conference. Important Dates and Contact Details Proposals due: January 27, 2021 Proposal notification: February 3, 2021 Paper camera-ready: August 17, 2021 Grand challenge date: October 18 or 22, 2021 Proposals should be emailed to both ICMI 2021 Multimodal Grand Challenge Chairs, Jean-Marc Odobez and Dirk Heylen via icmi2021-challenge-chairs at acm.org. Prospective organizers are also encouraged to contact the co-chairs if they have any questions. Proposals are due by January 27, 2021. Notifications will be sent on February 3, 2021. ------------------------------------------------------------------------------- Dongmei Jiang Professor, Head of Dept. Computer Information Engineering, School of Computer Science, Northwestern Polytechnical University Xi'an China. Tel: +86-29-88431532 Email: jiangdm at nwpu.edu.cn ------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From aw665 at cam.ac.uk Wed Jan 20 14:54:14 2021 From: aw665 at cam.ac.uk (Adrian Weller) Date: Wed, 20 Jan 2021 19:54:14 -0000 Subject: Connectionists: Deadline Jan 24: Come to the Turing Institute to work on Fairness, Transparency and/or Robustness Message-ID: <054101d6ef66$07b8c2e0$172a48a0$@cam.ac.uk> We have great opportunities to join our team at the Alan Turing Institute in London to work on Trustworthy Machine Learning in the Safe and Ethical AI theme, with a focus on Fairness, Transparency or Robustness. We'll be building foundational technical theory and methods, and working with partners in specific application settings in domains including healthcare, criminal justice and finance. We are looking for ambitious, creative researchers to contribute to these themes. One area of interest is trying to ensure good performance not only of the AI system, but human-machine teams. Please apply by Jan 24! You can apply for either opportunity, whichever looks a better fit (don't worry if you're not sure, we can adapt after receiving the application if it makes sense) https://cezanneondemand.intervieweb.it/turing/jobs/research_associatesenior_ research_associate_for_safe_and_ethical_ai_11935/en/ https://cezanneondemand.intervieweb.it/turing/jobs/research_fellow_for_safe_ and_ethical_ai_11932/en/ Also: We are always looking to connect with collaborators and stakeholders broadly. Please be in touch if interested. I'll soon be advertising 2 similar positions to work together in the Machine Learning group in Cambridge, UK. Best wishes, Adrian -------------------------------------------------- Adrian Weller http://mlg.eng.cam.ac.uk/adrian/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Jan 20 11:58:18 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 20 Jan 2021 18:58:18 +0200 Subject: Connectionists: =?utf-8?q?Live_e-lecture_by_Prof=2E_Tinne_Tuytela?= =?utf-8?q?ars=3A_=E2=80=98Keep_on_learning_without_forgetting?= =?utf-8?q?=E2=80=99=2C_26th_January_2021_17=3A00-18=3A00_CET=2E_Up?= =?utf-8?q?coming_AIDA_AI_excellence_lectures?= References: <01d001d6ef40$33059e80$9910db80$@csd.auth.gr> Message-ID: <02e401d6ef4d$7404cc00$5c0e6400$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Prof. Tinne Tuytelaars (KU Leuven, Belgium), a prominent AI researcher internationally, will deliver the e-lecture: ?Keep on learning without forgetting?, on Tuesday 26th January 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/96526281132?pwd=azBsNDUxb2JGVGlUOEpYcFZ6SXhLZz09 The International AI Doctoral Academy (AIDA) , a joint initiative of the European R&D projects AI4Media and Vision currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Junior AI scientists with promise of excellence (AI sprint lectures) Lectures will be 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: 1. Prof. Efstratios Gavves, ?The Machine Learning of Time: Past and Future?, 9th February 2021 17:00 ? 18:00 CET. 2. Prof. Pietro Perona, ?Measuring algorithmic bias in face analysis ? towards an experimental approach?, 23rd February 2021 17:00 ? 18:00 CET. 3. Prof. Bj?rn Schuller: ?There will be Artificial Emotional Intelligence?, 9th March 2021 17:00 ? 18:00 CET 4. Prof. Andreas Geiger, ?Towards Robust End-to-End Driving?, 23rd March 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 CVML email list . Best regards Prof. I. Pitas Artificial Intelligence and Information Analysis (AIIA) lab , AUTH and AI4Media -- 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 jimtoer at ifi.uio.no Thu Jan 21 04:42:36 2021 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Thu, 21 Jan 2021 09:42:36 +0000 Subject: Connectionists: PhD and Senior Researcher positions in Psychology-Inspired Computing for Robot Assistants Message-ID: [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to potential candidates who might be interested.] One or two PhD and one or two Senior Researcher positions in Psychology-Inspired Computing for Robot Assistants The goal of the positions is to create prediction methods for proactive planning of future robot actions and to design robot acting mechanisms for adaptive response ranging from quick and intuitive to slower well-reasoned. We combine sensing across multiple modalities with learned knowledge to predict outcomes and choose the best actions. The goal is to transfer these skills to intelligent systems in human-robot interactive scenarios to be supporting people in their own homes. This is with regard to everyday tasks and support in physical rehabilitation. Thus, it is relevant to work with implementation and research within robot perception and control for the robot tasks. In addition, user studies through human robot interaction experiments are to be performed. Three people (PhD fellows and researchers) are to be hired for the project and will complement in performing the above outlined research. The positions are a part of the research project Predictive and Intuitive Robot companion (PIRC) funded by the Research Council of Norway. The project is affiliated with the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo (see https://www.uio.no/ritmo/english/projects/pirc/ and https://www.uio.no/ritmo/english). The PhD fellowship will be for a period of three years (possibly with an option for extension of the employment period by one year depending background and qualifications for additional duty work which typically includes work on courses). The planned start date is 15 August 2021. The Senior Researcher position will be for a period of three years starting 1 September 2021, with a possibility to be extended one year if continued external funding becomes available. We have several international collaborators and having a stay of up to 6 months with one of these could be possible for both positions. The University of Oslo is Norway?s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Qualifications: Applicants must have a MSc (for the PhD fellowship) or a PhD degree (for the senior researcher position) or other corresponding education equivalent to a Norwegian MSc/doctoral degree in computer science, robotics, computational psychology or other relevant field. Thus, applicants should have a strong background in programming, as well as machine learning/artificial intelligence and/or robotics. Lack of knowledge in robot control and sensing can be compensated with knowledge and experience in human-robot interaction. Skills in psychology-inspired computing models, user-centered design, human behaviour modelling, human-robot interaction, motion tracking and analysis, and robot simulation, perception and control are considered advantageous. A number of partners are involved in the project so collaboration skills would also be assessed. Pay grade (depending on qualifications and seniority): PhD: NOK 482 200 ? 526 000 per year, approx.: ?46,300 ? 50,500 / $56,700 ? 61,900 Researcher: NOK 526 000 ? 608 200 per year, approx.: ?50,500 ? 58,400 / $61,900 ? 71,500 Announcements: ? Doctoral Research Fellowship(s) in Psychology-Inspired Computing for Robot Assistants ? Researcher position in Psychology-Inspired Computing for Robot Assistants Deadline for applications: 15 February, 2021 Applications are to be submitted through a web page and NOT by e-mail. Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From cognitivium at sciencebeam.com Thu Jan 21 06:31:15 2021 From: cognitivium at sciencebeam.com (Mary) Date: Thu, 21 Jan 2021 15:01:15 +0330 Subject: Connectionists: Registration Deadline is approaching! Message-ID: <202101211133.10LBXbBe010350@scs-mx-03.andrew.cmu.edu> Dear community, As we are approaching deadline (January 30) for registering for "EEG/ERPs Recording and Analysis: A multifaceted approach to EEG signals" Online Course, here is a reminder for the interested researchers who haven?t been registered yet. The "EEG/ERPs Recording and Analysis: A multifaceted approach to EEG signals" Online Course is going to be held by Dr. Rapha?l Fargier, PhD in Cognitive Neuroscience, Universit? Claude Bernard Lyon 1, France, who is a researcher in cognitive neuroscience with 10 years of experience and his research is focused on semantic cognition and the neurobiology of language. Through the course you will learn about the basics of EEG signal and how to record it. You will?learn different approaches to EEG signal processing, that are more or less commonly adopted?in cognitive neuroscience, including the study of Event-Related Potentials,?Microstates/Topographic patterns, and Brain oscillations. You will learn about EEG signal preprocessing and how to compute ERPs, Microstates and Time-frequency maps in relationship?with the constraints linked to experimental manipulations and designs. There will be a heavy focus on critical thinking about the choices of analyses as a function of?research questions, challenges depending on experimental designs, and parameters to pay?attention to. The variety and appropriateness of statistical methods currently used to validate?(or not) hypotheses about cognitive processes will also be discussed. All of that will be?evidenced through the presentation and discussion of case studies in electrophysiology of?language. At the end of the course, you will know the strengths and weaknesses of these tools, and will?be able to decide which measure is best adapted to your own scientific investigations about?cognition. Prospective overview of the sessions? 1. Basics of EEG signal and EEG recordings * Overview of the theory behind neural signals * Contrasting neuroimaging methods * Presentation of different EEG recording systems and their classical features * Tips on EEG recordings * Principles of experimental designs using EEG in cognitive neuroscience (events, timing etc) 2. EEG pre-processing Goal: Mastering the successive pre-processing steps including principles and challenges of: * Artifact rejection and correction (e.g. ICA; 3D Spline electrode interpolation) * Filtering (e.g. parameters, band widths etc) * Re-referencing (e.g. mastoid, average reference, Laplacian) * single-to-noise and number of trials 3. ERPs * Presentation of classical ERPs as markers of cognitive processes(e.g. N1/P2, P1, N400, etc.) * Computing single-subject and group-average ERPs: Pre-stimulus baseline correction (rationale, parameters, tips) Methods used to extract measures including amplitudes, latencies and topographies of ERPs Methods for statistical evaluation of differences across experimental manipulations * Differences between stimulus-aligned and response-aligned epochs, and associated?challenges for signal processing 4. Spatio-temporal segmentation * Origin of microstates * Rationale of Spatio-temporal segmentation (StS) and presentation of successive steps of analyses (e.g. Topography consistency test, Tanova) * Presentation of two ways to compute StS (different toolboxes) and the respective parameters to take care of * Extraction of measures, and statistical evaluations of differences across experimental manipulations via fitting (e.g. global explained variance, duration, presence, etc.) * Single-trials and mixed models 5. Time-frequency analyses * Rationale of oscillatory dynamics in EEG signal (evoked vs. induced activity) * Challenges in pre-processing to obtain time-frequency maps as compared to ERPs * Different methods used for time-frequency decomposition * Challenges of baseline normalization (the case of response-aligned epochs) * The various measures that can be extracted from time-frequency maps and the variety of?approaches for statistical validation You can watch the introductory webinar to this course using the linke below: https://sciencebeam.com/raphael-fargier-webinar/ For more information and registration click on the link below: https://sciencebeam.com/eeg-erps-recording-and-analyses/ Don?t miss this opportunity! -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.mandic at imperial.ac.uk Thu Jan 21 09:57:02 2021 From: d.mandic at imperial.ac.uk (Danilo Mandic) Date: Thu, 21 Jan 2021 14:57:02 +0000 Subject: Connectionists: International Joint Conference on Neural Networks: Submission deadline is extended to 10 February 2021 Message-ID: <31bc5093-baed-e7f9-a0b4-414060f7b536@imperial.ac.uk> Dear All, The International Joint Conference on Neural Networks is a premier conference on Neural Networks and Machine Intelligence, and is organised jointly by the International Neural Networks Society (INNS) and the IEEE. It covers a wide range of topics in the field of *neural networks*, from biological *neural networks* to artificial *neural* computation. This year, IJCNN is a virtual event, and the submission deadline is 10 February 2021. The conference will be held from 18-22 July 2021. More details? can be found at https://www.ijcnn.org/ The proceedings will appear in IEEE Xplore. See you virtually at IJCNN. Danilo ---- Prof Danilo P. Mandic Imperial College London, UK www.commsp.ee.ic.ac.uk/~mandic -------------- next part -------------- An HTML attachment was scrubbed... URL: From marinella.petrocchi at iit.cnr.it Thu Jan 21 11:13:27 2021 From: marinella.petrocchi at iit.cnr.it (Marinella Petrocchi) Date: Thu, 21 Jan 2021 17:13:27 +0100 Subject: Connectionists: 4th CfP: ACM SACMAT 2021 - Symposium of Access Control Models and Technologies Message-ID: <6224596148cf6c2362065ac52a647fbf@iit.cnr.it> Apologies for cross-posting ACM Symposium on Access Control Models and Technologies -- SACMAT 2021 June 16-18, 2021, Barcelona, Spain http://sacmat.dista.uninsubria.it/2021/about.php ---------------------------------------------------------- Important dates ---------------------------------------------------------- * Paper submission: February 15, 2021 (11:59 pm AOE) * Rebuttal: March 30 - April 2nd, 2021 * Notifications: April 15th, 2021 * Systems demo and Poster submissions: April 19th, 2021 * Systems demo and Poster notifications: April 27th, 2021 * Panel Proposal: TBD * Camera ready: May 4th, 2021 * Conference date: June 16 ? June 18, 2021 * Call for Research Papers Papers offering novel research contributions are solicited for submission. Accepted papers will be presented at the symposium and published by the ACM in the symposium proceedings. In addition to the regular research track, this year SACMAT will again host the special track -- "Blue Sky/Vision Track". Researchers are invited to submit papers describing promising new ideas and challenges of interest to the community as well as access control needs emerging from other fields. We are particularly looking for potentially disruptive and new ideas which can shape the research agenda for the next 10 years. We also encourage submissions to the newly introduced ?Work-in-progress Track? to present ideas that may have not been completely developed and experimentally evaluated. Topics of Interest Submissions to the regular track covering any relevant area of access control and computer security are welcomed. Areas of interest include, but are not limited to, the following: Systems: * Operating systems * Cloud systems and their security * Distributed systems * Fog and Edge-computing systems * Cyber-physical and Embedded systems * Mobile systems * Autonomous systems (e.g., UAV security, autonomous vehicles, ) * IoT systems (e.g., home-automation systems) * WWW Network: * Network systems (e.g., Software-defined network, Network function virtualization) * Corporate and Military-grade Networks * Wireless and Cellular Networks * Opportunistic Network (e.g., delay-tolerant network, P2P) * Overlay Network * Satellite Network Privacy and Privacy-enhancing Technologies: * Mixers and Mixnets * Anonymous protocols (e.g., Tor) * Online social networks (OSN) * Anonymous communication and censorship resistance * Access control and identity management with privacy * Cryptographic tools for privacy * Data protection technologies * Attacks on Privacy and their defenses Authentication: * Password-based Authentication * Biometric-based Authentication * Location-based Authentication * Identity management * Usable authentication Mechanisms: * Blockchain Technologies * AI/ML Technologies * Cryptographic Technologies * Programming-language based Technologies * Hardware-security Technologies (e.g., Intel SGX, ARM TrustZone) * Economic models and game theory * Trust Management * Usable mechanisms Data Security: * Big data * Databases and data management * Data leakage prevention * Data protection on untrusted infrastructure Policies and Models: * Novel policy language design * New Access Control Models * Extension of policy languages * Extension of Models * Analysis of policy languages * Analysis of Models * Policy engineering and policy mining * Verification of policy languages * Efficient enforcement of policies * Usable access control policy * Regular Track Paper Submission and Format Papers must be written in English. Authors are required to use the ACM format for papers, using the two-column SIG Proceedings Template (the sigconf template for LaTex) available in the following link: https://www.acm.org/publications/authors/submissions The length of the paper in the proceedings format must not exceed twelve US letter pages formatted for 8.5" x 11" paper and be no more than 5MB in size. It is the responsibility of the authors to ensure that their submission will print easily on simple default configurations. The submission must be anonymous, so information that might identify the authors - including author names, affiliations, acknowledgements, or obvious self-citations - must be excluded. It is the authors' responsibility to ensure that their anonymity is preserved when citing their own work. Submissions should be made to the EasyChair conference management system by the paper submission deadline of February 15, 2021 11:59 pm AOE: https://easychair.org/conferences/?conf=sacmat21 All submissions must contain a significant original contribution. That is, submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal, conference, or workshop. In particular, simultaneous submission of the same work is not allowed. Wherever appropriate, relevant related work, including that of the authors, must be cited. Submissions that are not accepted as full papers may be invited to appear as short papers. At least one author from each accepted paper much register for the conference prior to the camera-ready deadline. * Blue Sky Track Paper Submission and Format All submissions to this track should be in the same format as for the regular track, but the length must not exceed ten US letter pages, and the submission are not required to be anonymized (optional). Submissions to this track should be submitted to the EasyChair conference management system by the same deadline as for the regular track. * Work-in-progress Track Paper Submission and Format Authors are invited to submit papers in the newly introduced work-in-progress track. This track is introduced for (junior) authors, ideally Ph.D. and Masters students, to obtain early, constructive feedback on their work. Submissions in this track should follow the same format as for the regular track papers while limiting the total number of pages to six US letter pages. Paper submitted in this track should be anonymized and can be submitted to the EasyChair conference management system by the same deadline as for the regular track. * Call for Lightning Talk Participants are invited to submit proposals for 5-minute lightning talks describing recently published results, work in progress, wild ideas, etc. Lightning talks are a new feature of SACMAT, introduced this year to partially replace the informal sharing of ideas at in-person meetings. Submit at https://easychair.org/my/conference?conf=sacmat21 by May 28, 2021 (the early registration deadline). Notification of acceptance on June 2, 2021. * Call for Posters SACMAT 2021 will include a poster session to promote discussion of ongoing projects among researchers in the field of access control and computer security. Posters can cover preliminary or exploratory work with interesting ideas, or research projects in early stages with promising results in all aspects of access control and computer security. Authors interested in displaying a poster must submit a poster abstract in the same format as for the regular track, but the length must not exceed three US letter pages, and the submission should not be anonymized. The title should start with "Poster:". Accepted poster abstracts will be included in the conference proceedings. Submissions for posters should be emailed to the poster chair, Dr. Diego Perino (Diego.perino at telefonica.com), by Apr 19, 2021, 5PM PDT. The subject line should include "SACMAT 2021 Poster:" followed by the poster title. * Call for Demos A demonstration proposal should clearly describe (1) the overall architecture of the system or technology to be demonstrated, and (2) one or more demonstration scenarios that describe how the audience, interacting with the demonstration system or the demonstrator, will gain an understanding of the underlying technology. Submissions will be evaluated based on the motivation of the work behind the use of the system or technology to be demonstrated and its novelty. The subject line should include "SACMAT 2021 Demo:" followed by the demo title. Demonstration proposals should be in the same format as for the regular track, but the length must not exceed four US letter pages, and the submission should not be anonymized. A two-page description of the demonstration will be included in the conference proceedings. Submissions should be emailed to the Demonstrations Chair, Dr. Diego Perino (Diego.perino at telefonica.com), by Apr 19, 2021, 5pm PDT. * Financial Conflict of Interest (COI) Disclosure: In the interests of transparency and to help readers form their own judgements of potential bias, ACM SACMAT requires authors and PC members to declare any competing financial and/or non-financial interests in relation to the work described. * Definition For the purposes of this policy, competing interests are defined as financial and non-financial interests that could directly undermine, or be perceived to undermine the objectivity, integrity and value of a publication, through a potential influence on the judgements and actions of authors with regard to objective data presentation, analysis and interpretation. Financial competing interests include any of the following: Funding: Research support (including salaries, equipment, supplies, and other expenses) by organizations that may gain or lose financially through this publication. A specific role for the funding provider in the conceptualization, design, data collection, analysis, decision to publish, or preparation of the manuscript, should be disclosed. Employment: Recent (while engaged in the research project), present or anticipated employment by any organization that may gain or lose financially through this publication. Personal financial interests: Ownership or contractual interest in stocks or shares of companies that may gain or lose financially through publication; consultation fees or other forms of remuneration (including reimbursements for attending symposia) from organizations that may gain or lose financially; patents or patent applications (awarded or pending) filed by the authors or their institutions whose value may be affected by publication. For patents and patent applications, disclosure of the following information is requested: patent applicant (whether author or institution), name of inventor(s), application number, status of application, specific aspect of manuscript covered in patent application. It is difficult to specify a threshold at which a financial interest become significant, but note that many US universities require faculty members to disclose interests exceeding $10,000 or 5% equity in a company. Any such figure is necessarily arbitrary, so we offer as one possible practical alternative guideline: "Any undeclared competing financial interests that could embarrass you were they to become publicly known after your work was published." We do not consider diversified mutual funds or investment trusts to constitute a competing financial interest. Also, for employees in non-executive or leadership positions, we do not consider financial interest related to stocks or shares in their company to constitute a competing financial interest, as long as they are publishing under their company affiliation. Non-financial competing interests: Non-financial competing interests can take different forms, including personal or professional relations with organizations and individuals. We would encourage authors and PC members to declare any unpaid roles or relationships that might have a bearing on the publication process. Examples of non-financial competing interests include (but are not limited to): ? Unpaid membership in a government or non-governmental organization ? Unpaid membership in an advocacy or lobbying organization ? Unpaid advisory position in a commercial organization ? Writing or consulting for an educational company ? Acting as an expert witness * Conference Code of Conduct and Etiquette ACM SACMAT will follow the ACM Policy Against Harassment at ACM Activities. Please familiarize yourself with the ACM Policy Against Harassment and guide to Reporting Unacceptable Behavior. * AUTHORS TAKE NOTE The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) -- Marinella Petrocchi Senior Researcher @Institute of Informatics and Telematics (IIT) National Research Council (CNR) Pisa (Italy) From benjamin.lindner at physik.hu-berlin.de Thu Jan 21 11:19:16 2021 From: benjamin.lindner at physik.hu-berlin.de (Benjamin Lindner) Date: Thu, 21 Jan 2021 17:19:16 +0100 Subject: Connectionists: Call for Papers: Special Issue of Biological Cybernetics on Stochastic Oscillators Message-ID: <7aaf18cd-ade6-9d13-faa2-9669c70808d8@physik.hu-berlin.de> image.png Dear Colleagues: Let me call your attention to the following Call for Papers: Special Issue on Stochastic Oscillators https://www.springer.com/journal/422/updates/18744704 Target submission date: July 1, 2021 Rhythmicity and stochasticity are salient features of naturally occurring dynamical systems throughout biology and are particularly important in neuroscience.? Examples in neuroscience range from the repeated firing of nerve cells driven by steady currents to the collective oscillations observed in the EEG; in physiology more broadly we see a mixture of regular and irregular rhythms in the beating of the heart, the action of the lungs, the vibrations of sensory hair bundles in the cochlea, and the movement of the limbs.? On yet broader scales, ranging from the glycolytic oscillation in yeast to the circadian rhythm, the interplay of fluctuation and regularity structures many aspects of life. In recent years numerous mathematical frameworks have developed for understanding the interaction of stochastic and deterministic dynamics in rhythmic dynamical systems. Persistent challenges include susceptibility and sensitivity of oscillators to external inputs; encoding of information about external stimuli; analytical and approximate approaches to the statistical characterization of noisy oscillators in terms of power spectra and quality factors; reduction of stochastic dynamics via phase and amplitude variables; efficient and accurate approximation schemes for oscillatory stochastic dynamics; emergence of collective behavior in networks of stochastic oscillators; and the role of noisy fluctuations in central pattern generator and rhythmic motor control systems. Biological Cybernetics invites authors to submit papers to this special issue advancing the theory and applications of stochastic oscillators to biological systems, broadly construed. Submissions received by July 1, 2021 will be considered for inclusion in the special issue. Sincerely, Benjamin Lindner -- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics BCCN Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 82492 (new number!!) Physics Dep. Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.412, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html ----------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 52647 bytes Desc: not available URL: From michele.ferrante at nih.gov Thu Jan 21 09:58:32 2021 From: michele.ferrante at nih.gov (Ferrante, Michele (NIH/NIMH) [E]) Date: Thu, 21 Jan 2021 14:58:32 +0000 Subject: Connectionists: NIMH is hiring a Program Officer: Learning & Memory Program Message-ID: Job Vacancy Announcement- Health Scientist Administrator (Program Officer) Learning and Memory Program Health Scientist Administrator (Program Officer) Learning and Memory Program National Institute of Mental Health Department of Health and Human Services The National Institute of Mental Health, (NIMH), Division of Neuroscience and Basic Behavioral Science announces openings for Health Scientist Administrator (Program Officer) to guide and manage a grants program supporting basic research in neuroscience of learning and memory. The Program Officer will lead an extramurally funded and innovative program employing causal experimental designs, cutting edge neurobiological and behavioral approaches, and multiple levels of analysis to decipher the mechanisms underlying learning and memory at the circuit level in animals and humans. This program supports research on a range of cognitive processes, including working memory, episodic encoding, consolidation, retrieval and learning processes that encode higher cognitive functions such as spatial processing within working memory and quantitative processing. This individual will identify and formulate program needs to achieve an integrated and responsive effort in the field of learning and memory that combines causal experimental designs, cutting edge neurobiological and behavioral approaches, and multiple levels of analysis to decipher the mechanisms underlying learning and memory in healthy humans and animals. As one of the program officers in this branch, the selected candidate will stimulate, plan, advise, and direct program activities for a portfolio of research projects and grant or cooperative agreement awards in the area of learning and memory. The candidate will also develop collaborative activities among federal agencies to foster multi-disciplinary projects with a goal to develop new principles and new methodologies to expand studies of circuit-level mechanisms of learning, memory and higher order cognitive processes. The candidate will be responsible for maintaining and further developing innovative scientific directions and adopting research technologies developed through the BRAIN Initiative and Human Connectome Project. Qualifications Applicants must be a U.S. citizen and have a Ph.D. (or equivalent doctoral degree) in an academic field of the health or pertinent sciences (i.e., neuroscience, learning and memory, cognitive neuroscience, etc.) from an accredited college or university, including acceptance of the dissertation. Degrees in fields that emphasize learning and memory processes are preferred. A publication record and evidence of a familiarity with current literature in neuroscience of learning and memory and/or cognitive neuroscience are essential. Prior research experience spanning the fields of systems levels neuroscience is highly desirable. Fluency in written and spoken English is required, and motivation to serve as a team member in the Behavioral Science and Integrative Neuroscience Research Branch is necessary. This position requires working both independently and collaboratively. Strong organizational, oral, written, and communication skills are also required. Salary will be commensurate with the experience of the candidate. A full package of federal Civil Service benefits is available, including retirement, health and life insurance, long-term care insurance, leave, and a Thrift Savings Plan (401K equivalent). The successful candidate is subject to a background investigation and public financial disclosure requirements. For medical and scientific specialties, qualification requirements, evaluation criteria, and application instructions, please view the vacancy announcement at https://jobs.nih.gov/globalrecruitment/. How to Apply: Interested candidates should send a letter of interest, including a curriculum vitae, to NIMHsearch at mail.nih.gov. The NIH encourages the application and nomination of qualified women, minorities, and individuals with disabilities. HHS and NIH are Equal Opportunity Employers. **** The National Institute of Mental Health, Division of Neuroscience and Basic Behavioral Science announces openings for Health Scientist Administrator (Program Officer) to guide and manage a grants program supporting basic research in neuroscience of learning and memory. Interested candidate who wish to be considered for a position are encouraged to apply via The Global Recruitment Unit (GRU) -Health Scientist Administrator (HSA) Program Officer announcements that are open and close on 1/27/2021. See links to the vacancy announcements. * Health Scientist Administrator, GS 12-14 - https://www.usajobs.gov/GetJob/ViewDetails/589238100 - Open to US Citizens * Health Scientist Administrator, GS 12-14 - https://www.usajobs.gov/GetJob/ViewDetails/589237800 - Open to Status Candidates * Non-Supervisory GS-15, Health Scientist Administrator (Program Officer) - https://www.usajobs.gov/GetJob/ViewDetails/589302000 - Open to US Citizens * Non-Supervisory GS-15, Health Scientist Administrator (Program Officer) - https://www.usajobs.gov/GetJob/ViewDetails/589302100 - Open to Status Candidates Regards, Michele --- Michele Ferrante, PhD NIH Program Director: Computational * (Neuroscience + Psychiatry) Please click here to schedule a call: 301-435-6782 | WebEx | NSC Rm7202 FOAs:Behaviors|RDoC|XAI|CRCNS|Supplements|Theories|ConvergentNS -------------- next part -------------- An HTML attachment was scrubbed... URL: From joana.pereira at ki.se Thu Jan 21 10:48:34 2021 From: joana.pereira at ki.se (Joana Pereira) Date: Thu, 21 Jan 2021 15:48:34 +0000 Subject: Connectionists: Emerging Topics in Artificial Intelligence 2021 Conference Message-ID: Dear all, We are organizing the second edition of the conference ?Emerging Topics in Artificial Intelligence?, which will take place from 1-5 August 2021 in San Diego, USA. The aim of this conference is to bring together experts from different fields to discuss new applications of artificial intelligence to biomedicine, neuroimaging, microscopy, active matter and photonics. Importantly, this conference will also count with the participation of industry to foster commercialization and utilization opportunities. Please find more detailed information about the topics that will be covered at: http://spie.org/OP110. Despite the ongoing pandemic situation and its unusual online format, the 1st edition held in 2020 was a major success with more than 3000 visualizations and 70 video talks. We hope to replicate and even advance this success in the new edition of the conference. At the moment we are planning to make the conference in person but, depending on the circumstances, we might change it to a virtual format. The period for abstract submission is now open. Please forward this information to anyone who might be interested. Best wishes, Joana B. Pereira (Karolinska Institute) Giovanni Volpe (Gothenburg University) Aydogan Ozcan (University of California) Daniel Brunner (Institut Franche-Comte Electronique Mecanique Thermique et Optique) Follow us on twitter: @ETAIconference N?r du skickar e-post till Karolinska Institutet (KI) inneb?r detta att KI kommer att behandla dina personuppgifter. H?r finns information om hur KI behandlar personuppgifter. Sending email to Karolinska Institutet (KI) will result in KI processing your personal data. You can read more about KI?s processing of personal data here. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vinxlemons at gmail.com Thu Jan 21 12:18:44 2021 From: vinxlemons at gmail.com (Vincenzo Lomonaco) Date: Thu, 21 Jan 2021 18:18:44 +0100 Subject: Connectionists: [CFP] CVPR 2021 Continual Learning in Computer Vision Workshop (2nd Edition) Message-ID: ******************************** *CVPR 2021 Continual Learning in Computer Vision Workshop* 19th, 20th or 25th June 2021 | Nashville, USA (Virtual) https://sites.google.com/view/clvision2021 ******************************** Organized in conjunction with CVPR 2021 === *SUBMISIONS ARE NOW OPEN!!!* ==== --- Submission deadline: 20 March 2021 --- Apologies for multiple posting Feel free to distribute this call to interested parties #### Full call for Paper #### *CLVision: Workshop on Continual Learning in Computer Vision (2nd Edition) * The *CVPR 2021 Workshop on Continual Learning* (CLVision, 2nd edition) aims to gather researchers and engineers from academia and industry to discuss the latest advances in Continual Learning. In this one-day workshop, we will have regular paper presentations, invited speakers, and technical benchmark challenges to present the current state of the art, as well as the limitations and future directions for computer vision in continual learning, arguably one of the most crucial milestones of computer vision and AI in general. *You can participate in the workshop by applying a continual learning related paper (short, non-archival or full-length) or by participation in our well-tailored challenge tracks, both providing exciting prizes from our sponsors.* *Important Dates (call for papers)* - *Workshop paper submission deadline*: *March 20th 2020 (11:59 pm Pacific Time)* - Notification to authors: 7th April 2020 (11:59 pm Pacific Time) - Camera-ready deadline: Mid April 2021 (to be decided by CVPR organizers) - Workshop date: 19th, 20th or 25th June 2021 (to be decided by CVPR organizers) *Invited Speakers* - Joost Van de Weijer (Universitat Aut?noma de Barcelona) - Rahaf Aljundi (Toyota Motor Europe) - Eric Eaton (University of Pennsylvania) - Barbara Caputo (Istituto Italiano di Tecnologia) - Trevor Darrell (UC Berkeley) - Hatice Gunes (Cambridge University) - Andreas Tolias (Baylor College of Medicine) - Claudia Clopath (Imperial College London) - Jeff Clune (OpenAI) *General Chairs* - Vincenzo Lomonaco (University of Bologna & ContinualAI) - Pau Rodriguez (Element AI) - Matthias De Lange (KU Leuven) - David Vazquez (Element AI) - Irina Rish (MILA) - Tinne Tuytelaars (KU Leuven) - Rita Cucchiara (University of Modena and Reggio-Emilia) *Challenge Description* Research in continual learning has accelerated in the last five years. Sadly, the different assumptions about the data distribution and the level of supervision provided by the environment have created a plethora of evaluation settings. It can thus be difficult to evaluate the generalization capabilities of the different continual learning algorithms. For this year?s competition, we focus on the development of methods that are agnostic to the level of supervision, i.e., methods that can be instantiated in supervised learning as well as reinforcement learning. The tools offered in the provided codebase will let challengers build solutions that will automatically be tested in continual supervised learning and continual reinforcement learning benchmarks. The final score will be a combination of both performances. More information about the challenge are available at the official challenge webpage: 2nd CLVISION CVPR Workshop - Challenge *Important Dates (challenge)* *(Subject to change, check the official website)* - Beginning of the pre-selection phase (release of data and baselines): 15th Feb 2021 - Pre-selection phase ends: 3rd May 2021 - Dockerized solution + report submission deadline: 8th May 2021 - Final evaluation starts: 9th May 2021 - Final ranking will be disclosed in the workshop: June 2021 *Challenge Chairs* - Massimo Caccia (MILA & Element AI) - Fabrice Normandin (MILA & Element AI) - Alexey Ostapenko (MILA) - Matthew Riemer (MILA & IBM) - Khimya Khetarpal (MILA) - Xu Jia (Huawei) - Yu Liu (KU Leuven) - Qi She (ByteDance AI lab) Check out the Official Website for more details and contact us for any questions at contvisionworkshop at gmail.com ! ######## Vincenzo Lomonaco, PhD Postdoctoral Researcher @ University of Bologna http://www.vincenzolomonaco.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From stdm at zhaw.ch Fri Jan 22 02:39:41 2021 From: stdm at zhaw.ch (Stadelmann Thilo (stdm)) Date: Fri, 22 Jan 2021 07:39:41 +0000 Subject: Connectionists: Fully funded PhD position in Deep Learning in Winterthur/Switzerland Message-ID: My colleague Prof. Alireza Darvishy and me are looking for a PhD candidate in deep learning for making scientific PDFs accessible (page structure recognition, mathematical formula recognition, image captioning, ...) in a joint research project funded by the BRIDGE discovery programme: https://www.zhaw.ch/de/jobs/offene-stellen/stelleninserat/job/detail/SAST8166.1/ Thilo Stadelmann Prof. AI/ML & Scientific Director at ZHAW School of Engineering Web: https://stdm.github.io/research/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From perusquia at ieee.org Fri Jan 22 05:42:47 2021 From: perusquia at ieee.org (Monica Perusquia Hernandez) Date: Fri, 22 Jan 2021 19:42:47 +0900 Subject: Connectionists: ACII2021 - 2nd call for workshop and challenge proposals Message-ID: ==================================================== Affective Computing and Intelligent Interaction (ACII) 2021 28 Sep ? 1 Oct 2021, Nara, Japan http://www.acii-conf.net/2021/ ==================================================== *Call for Workshop and Challenge Proposals* *UPDATE: ACII is also inviting Challenge-type workshops in the call for workshops* The organizing committee of Affective Computing and Intelligent Interaction (ACII) 2021 is now inviting proposals for workshops and challenges. The biennial conference is the flagship conference for research in Affective Computing, covering topics related to the study of intelligent systems that read, express, or otherwise use emotion. Workshops at ACII allow a group of scientists an opportunity to get together to network and discuss a specific topic in detail. Examples of past workshops include: Emotions in Games, Affective Brain-Computer Interfaces, Affective Touch, Group Emotions, Affective Computing for Affective Disorders, etc. We want to encourage workshop proposals that draw together interdisciplinary perspectives on topics in affective computing. We also welcome Challenge-type workshops, where workshop participants would work on a shared task. Proposals are also encouraged that make a connection to the theme of the conference on ?Ethical Affective Computing?, and consider issues around the ethical use of affective computing technologies. Workshops should focus on a central question or topic, and will be held the day before the conference. Workshop organizers will be responsible for soliciting and reviewing papers, and putting together an exciting schedule. We also encourage workshop organizers to allow for time for networking and discussion. Workshop organizers are also expected to present a short summary of the workshop during the main conference to allow dissemination of the workshop outcomes to the wider community. ***Submission Procedures*** Please submit proposals as a single PDF via email to Desmond Ong ( dco at comp.nus.edu.sg) AND Luke Chang (luke.j.chang at dartmouth.edu) with the following information: ? Title of Workshop ? Organizers and affiliations, with a main contact person identified if there are multiple organizers ? Rationale for the workshop, which should cover the importance and timeliness of the proposed topic to ACII, as well as the scope of the workshop. ? Expected outcomes and impact of the workshop ? Length of workshop (full-day or half-day) ? Proposed format of workshop (e.g., oral presentations, poster session, breaks). ? List of tentative and confirmed PC members (mention, per PC member, whether tentative or confirmed) o Workshop PC members are in charge of the peer review process, and the workshop organizer will collate and recommend acceptances of the papers to ACII Workshop Chairs. ? Expected number of submissions, planned acceptance rate, and paper length, review process (with schedule) o We recommend a workshop paper submission deadline sometime in May, with notifications due back to authors by June or early July, in time for Camera-Ready papers due July 30, 2021 o We will work with workshop organizers to have access to the conference submission system that we will be using for the main conference (details TBA to accepted workshops). o For challenge-type workshops, please include details on the shared task/dataset and on the schedule (e.g., timeline for release of training data, baseline model results, etc). ? Advertising plan (e.g. listserves or conferences or other communities that you will advertise the workshop call to). Also include where you plan to host the workshop website. ? Tentative/confirmed keynote speaker(s): please include short biographical details and details on the topic. ? Any logistical requirements. ? List of related and previous workshops/conferences on this/related topics. ***Important Dates*** Feb 21, 2021: Workshop proposal submission deadline Mar 7, 2021: Notification of acceptance of Workshop proposal May (TBD by workshop organizers): Workshop paper submission deadline June/July (TBD by workshop organizers): Workshop paper notification July 30, 2021: Workshop Camera-Ready Papers Due (same as main conference) September 28, 2021: Date of Workshops -------------- next part -------------- An HTML attachment was scrubbed... URL: From pmasulli at e-nns.org Fri Jan 22 06:19:28 2021 From: pmasulli at e-nns.org (Paolo Masulli ENNS) Date: Fri, 22 Jan 2021 12:19:28 +0100 Subject: Connectionists: CFP 30th International Conference on Artificial Neural Networks ICANN 2021, Sept 14-17, Bratislava, SK Message-ID: <94136602-6920-7e63-c335-5258c9619e5f@e-nns.org> 30th International Conference on Artificial Neural Networks ICANN 2021 https://e-nns.org/icann2021 Bratislava, Slovakia 14 - 17 September 2021 ============================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2021 the Faculty of Mathematics, Physics and Informatics (FMPI), Comenius University in Bratislava, together with the Slovak Society for Cognitive Science, organize the 30th ICANN Conference from the 14th to the 17th of September 2021 in Bratislava, Slovakia. *Possibility of online/hybrid event:* in case the organization of a physical event will not be possible because of COVID-19 travel/gathering restrictions, the conference will happen online. * **CONFERENCE TOPICS* ICANN 2021 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and action. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2021 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. *Call for Special Sessions* ICANN 2021 organizers cordially invite internationally recognised experts to organise Special sessions and workshops within the general scope of the conference. Special Session Proposal request should be sent to icann2021 at fmph.uniba.sk *CALL FOR PAPERS* Authors willing to present original contributions in either oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be on the conference website: https://e-nns.org/icann2021/ *IMPORTANT DATES* Deadline for special sessions proposals: 1 Mar 2021 Opening of contribution submissions: 15 Feb 2021 Deadline for full paper and extended abstract submission: 15 Mar 2021 Notification of acceptance: 1 May 2021 Camera-ready paper and registration opening: 1 June 2021 Deadline for early registration at discount rate: 30 June 2021 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. *TRAVEL GRANTS* The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. *ORGANISATION* General Chairs: Igor Farka? (FMPI, Comenius University in Bratislava, Slovakia) ?ubica Be?u?kov? (FMPI, Comenius University in Bratislava, Slovakia) Organising Committee Chairs: Krist?na Malinovsk? (FMPI, Comenius University in Bratislava, Slovakia), Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chairs: Stefan Wermter, University in Hamburg, Germany (ENNS President) V?ra K?rkov?, Czech Academy of Sciences, Prague, Czechia (past ENNS President) Communication Chair: Paolo Masulli (Technical University of Denmark, ENNS) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: kjkkfonoiedbifel.png Type: image/png Size: 8934 bytes Desc: not available URL: From alessandra.sciutti at gmail.com Fri Jan 22 09:11:19 2021 From: alessandra.sciutti at gmail.com (Alessandra) Date: Fri, 22 Jan 2021 15:11:19 +0100 Subject: Connectionists: Call for workshop proposals and call for papers for the IEEE International Conference on Development and Learning ICDL 2021 (11th edition of the ICDL-EPIROB Conference) Message-ID: <004501d6f0c8$7543ee80$5fcbcb80$@gmail.com> The deadline for workshop and tutorial proposals is rapidly approaching. Don't miss the opportunity to contribute to ICDL! --- IEEE International Conference on Development and Learning (ICDL) 2021 (11th edition of ICDL-EPIROB) Conference dates: August 23rd-26th, 2021 Web page: https://icdl-2021.org/ An IEEE Computational Society-sponsored conference Location: Beijing, China (Due to the influence of COVID-19, IEEE ICDL 2021 may be held virtually.) Paper Submission Deadline: February 15th, 2021 Tutorial and Workshops Submission Deadline: **** February 1st, 2021 **** Journal Track Submission Deadline: April 28th, 2021 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental science. We invite submissions for the conference in 2021 to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field, in the form of full papers, workshop and tutorials and of submissions to the journal track. We also invite your participation in the REAL 2021 competition. More details on the call and the PDF version can be found at: https://icdl-2021.org/call/ ==== Topics ==== The primary list of topics of interest include (but are not limited to): . General principles of development and learning; . Development of skills in biological systems and robots; . Nature VS nurture, critical periods and developmental stages; . Models on active learning; . Architectures for cognitive development and life-long learning; . Emergence of body knowledge and affordance perception; . Analysis and modelling of human motion and state; . Models for prediction, planning and problem solving; . Models of human-human and human-robot interaction; . Emergence of verbal and non-verbal communication skills; . Epistemological foundations and philosophical issues; . Models of child development from experimental psychology. ==== Full Papers ==== Papers of at most 6 pages in IEEE double column format will undergo peer-review, and accepted and presented submissions will be included in the conference proceedings published by IEEE Xplore. The authors of the best conference papers will be invited to extend their contributions for a Special Issue of IEEE Transaction on Cognitive and Developmental Systems (IEEE TCDS). The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/ ==== Workshops and Tutorials === We invite experts in different areas to organize either a tutorial or a workshop to be held on the first day of the conference. The submission should be of maximum two pages including title, list of speakers, concept and target audience. It should include also a description of the structure of the event, the indication of the duration (half day or full day) and it should state whether the event is open to paper/poster submissions. If possible, a link to the event website should be provided. The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/#tutorial ==== Journal Track and Competition ==== We highly recommend the submission in Journal Track to discuss important results related to cognitive and developmental systems recently published as journal articles, but not been previously presented as conference papers. All submissions must include in a single PDF the details of the original journal paper and a cover letter to explain why the authors believe that the paper is central for ICDL. The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/#journal We also strongly expect your participation in the REAL 2021 competition. The REAL competition addresses open-ended learning with a focus on "Robot open-Ended Autonomous Learning" (REAL)", that is, on systems that: (a) acquire sensorimotor competence that allows them to interact with objects and physical environments; (b) learn in a fully autonomous way, i.e. with no human intervention. Find all the details here: https://icdl-2021.org/competition/ ==== Important Dates ==== Conference dates: August 23rd-26th, 2021 Paper Submission deadline: February 15th, 2021 Paper Author notification: April 15th, 2021 Camera ready due: May 15th, 2021 Tutorial and Workshops Submission Deadline: February 1st, 2021 Tutorial and Workshops Author notification: April 15th, 2021 Journal Track Submission Deadline: April 28th, 2021 Journal Track Notification: May 20th, 2021 ================= Best regards, Program Chairs Alessandra Sciutti (Italian Institute of Technology, Italy) Jing Chen (Peking University, China) Publication Chair Weiwei Wan (Osaka University, Japan) General Chairs Dingsheng Luo (Peking University, China) Angelo Cangelosi (University of Manchester, UK) Tutorial and Workshop Chair Xu Yang (Chinese Academy of Sciences, China) Competition Chairs Gianluca Baldassarre (National Research Council, Italy) Emilio Cartoni (National Research Council, Italy) Journal Track Chair Lorenzo Jamone (Queen Mary Univ. of London, UK) ---------------------------------------- Alessandra Sciutti (PhD) Researcher Tenure Track - P.I. CONTACT Unit Istituto Italiano di Tecnologia - Genova, Italy tel: +39 010 2897 327 ************* Currently editing a Research Topic on Affective Shared Perception Frontiers in Integrative Neuroscience and Frontiers in Robotics and AI. Interested in submitting? https://www.frontiersin.org/research-topics/16086/affective-shared-perceptio n ************* website: https://www.iit.it/people/alessandra-sciutti ERC website: https://www.whisperproject.eu/ TEDx talk (Italian): https://www.youtube.com/watch?reload=9&v=e0eMayWU_lc twitter: @alefreedot -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Sat Jan 23 16:32:59 2021 From: nemanja at temple.edu (Nemanja Djuric) Date: Sat, 23 Jan 2021 16:32:59 -0500 Subject: Connectionists: CfP: The 3rd Workshop on "Precognition: Seeing through the Future" @ CVPR 2021 Message-ID: Call for Workshop Papers The 3rd Workshop on "Precognition: Seeing through the Future" in conjunction with The 34th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021) Virtual conference, June 19th-25th, 2021 https://sites.google.com/view/ieeecvf-cvpr2021-precognition ================= Despite its potential and relevance for real-world applications, visual forecasting or precognition has not been in the focus of new theoretical studies and practical applications as much as detection and recognition problems. Through the organization of this workshop we aim to facilitate further discussion and interest within the research community regarding this nascent topic. The workshop will discuss recent approaches and research trends not only in anticipating human behavior from videos, but also precognition in multiple other visual applications, such as: medical imaging, health-care, human face aging prediction, early event prediction, autonomous driving forecasting, and so on. In addition, this workshop will give an opportunity for the community in both academia and industry to meet and discuss future work and research directions. It will bring together researchers from different fields and viewpoints to discuss existing major research problems and identify opportunities in further research directions in both research topics and industrial applications. This is the third Precognition workshop organized at CVPR. It follows very successful workshops organized in 2019 and 2020, which featured talks from researchers across a number of industries, insightful presentations, and large attendance. For full programs, slides, posters, and other resources, please visit the websites of Precognition 2019 and Precognition 2020, linked at the workshop website. ================= Topics: The workshop focuses on several important aspects of visual forecasting. The topics of interest for this workshop include, but are not limited to: - Early event prediction - Activity and trajectory forecasting - Multi-agent forecasting - Human behavior and pose prediction - Human face aging prediction - Predicting frames and features in videos and other sensors in autonomous driving - Traffic congestion anomaly prediction - Automated Covid-19 prediction in medical imaging - Visual DeepFake prediction - Short- and long-term prediction and diagnoses in medical imaging - Prediction of agricultural parameters from satellite imagery - Databases, evaluation and benchmarking in precognition ================= Submission Instructions: All submitted work will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted submission, at least one author must attend the workshop and present the paper. There are two ways to contribute submissions to the workshop: - Extended abstracts submissions are single-blind peer-reviewed, and author names and affiliations should be listed. Extended abstract submissions are limited to a total of four pages. Accepted abstracts will be presented at the poster session, and will not be included in the printed proceedings of the workshop. - Full paper submissions are double-blind peer-reviewed. The submissions are limited to eight pages, including figures and tables, in the CVPR style. Additional pages containing only cited references are allowed (additional information about formatting and style files is available at the website). Accepted papers will be presented at the poster session, with selected papers also being presented in an oral session. All accepted papers will be published by the CVPR in the workshop proceedings. Submission website: https://cmt3.research.microsoft.com/PRECOGNITION2021 ================= Important Deadlines: Submission : March 28th, 2021 Decisions : April 12th, 2021 Camera-ready : April 17th, 2021 Workshop : June 19th, 2021 (subject to change by the CVPR organizers) ================= Program Committee Chairs: - Dr. Khoa Luu (University of Arkansas) - Dr. Kris Kitani (Carnegie Mellon University) - Dr. Minh Hoai Nguyen (Stony Brook University) - Dr. Hien Van Nguyen (University of Houston) - Dr. Nemanja Djuric (Aurora Innovation) - Dr. Utsav Prabhu (Google) For further questions please contact a member of the organizing committee at precognition.organizers at gmail.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sun Jan 24 05:27:18 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sun, 24 Jan 2021 12:27:18 +0200 Subject: Connectionists: 15th International Conference on Research Challenges in Information Science (RCIS 2021): Last Mile for Paper Submission! Message-ID: <1163VI1X-ZQ80-3V8B-B3LR-5NVCLDRBTFQ@cs.ucy.ac.cy> *** Last Mile for Paper Submission! *** 15th International Conference on Research Challenges in Information Science (RCIS 2021) May 12-14, 2021, Royal Apollonia Beach Hotel 5*, Limassol, Cyprus http://www.rcis-conf.com/rcis2021/ Abstract submission deadline (recommended): January 25, 2021 (AoE) Paper submission deadline: February 1, 2021 (AoE) (Proceedings to be published by Springer; Special Issue in DKE, Elsevier) SCOPE AND TOPICS RCIS aims to bring together scientists, researchers, engineers and practitioners from a wide range of information science fields and to provide opportunities for knowledge sharing and dissemination. RCIS 2021 will continue paying attention to traditional topics at the conference; in addition, we solicit submissions aligned with the special theme "Information Science and global crisis". Global crisis, as the pandemic we are experiencing in these days, natural disasters, wars and international political crisis, are challenging Information Science to help building effective management solutions, to learn from previous experience how to prevent them, and to support Humans keep on performing core activities, as education, and communication. The diversity of crises' causes, the quality of the collected data as well as the complexity of the underlying mechanisms are among the relevant research challenges. RCIS welcomes submissions from the whole spectrum of the information science field. The list of themes and topics includes, but is not limited to: Information Systems and their Engineering ? Requirements Engineering ? Software Testing ? Information Security and Risk ? Method Engineering User-Oriented Approaches ? Social Computing and Social Network Analysis ? User-Centred Design ? Collaborative Computing ? Human Factors in Information Systems Data and Information Management ? Databases and Information ? Information Search and Discovery ? Conceptual Modelling and Ontologies Business Process Management ? Business Process Engineering and Reengineering ? Process Mining ? Enterprise Engineering Domain-specific IS Engineering ? E-Health, e-Government, e-Commerce, ... ? Web-Based Applications and Services ? Industry 4.0 ? Web-Based Applications and Services ? Smart Cities ? Educational Technologies ? Digital Humanities Data Science ? Big Data & Business Analytics ? Decision Information Systems ? Knowledge Management ? Knowledge Discovery from Data Information Infrastructures ? Cyber-Physical Systems ? Web Information Systems ? Grid Computing and Cloud Computing ? Internet of Things ? Pervasive and Mobile Computing Reflective Research and Practice ? Research Methodologies in Information Science ? Impact of Information on the Enterprise and the Individual ? Lifecycle Models ? Design Science and Rationale Tutorials, Doctoral Consortium, Posters & Demos and Research Projects @RCIS tracks will complement the main conference. SUBMISSION PROCESS Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Papers that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2021. Papers should be in English and must be associated to one of the following categories: Technical solution papers (max 16 pages Springer) present solutions that are novel or significantly improve existing approaches. A technical solution paper must include a preliminary validation of the proposed solution, and results must be stated clearly enough so that it is possible to validate them in follow-up research. Evaluation papers (max 16 pages Springer) evaluate existing problem situations or validate proposed solutions through scientific means, i.e., by empirical studies, experiments, case studies, simulations, mathematical proofs, etc. The research method must be sound and appropriate. Industrial practice and experience papers (max 16 pages Springer) thoroughly present problems or challenges encountered in practice, elaborate on success or failure with existing approaches, or report on industrial practice (e.g., methods and tools). A paper in this category shall provide a clear context, detail the problem or the industrial practice, and explain the lessons learned. Work in progress papers (max 8 pages Springer) present relevant preliminary results across the spectrum of information science. These papers can either present a novel technical solution, or report on a preliminary evaluation of a technique. Please note that the maximum length of the paper includes references, appendices, etc. The submission site is https://easychair.org/my/conference?conf=rcis2021 . By submitting a paper, the authors agree that at least one of them will register to the conference and present the paper. The appearance of a paper in the Springer proceedings is dependent on the registration of one author within the early registration deadline on March 29, 2021. We adopt a single-blind review format, meaning that the author names are included in the paper itself under the paper title. JOURNAL SPECIAL ISSUE A selection of the best accepted papers of RCIS 2021, chosen by a dedicated committee, will be invited to submit an extended version of the RCIS paper to the Data & Knowledge Engineering (DKE) journal published by Elsevier (https://www.journals.elsevier.com/data-and-knowledge-engineering). The selection of the papers to invite will be based on the review scores and arguments, and the potential for extension. IMPORTANT DATES ? Abstract submission deadline for regular papers: January 25, 2021 (AoE) ? Regular paper submission deadline: February 1, 2021 ? Notification to authors and registration opening: March 12, 2021 ? Author registration deadline for all paper types: March 29, 2021 ? Camera-ready copy deadline for all paper types: March 29, 2021 ? Conference: May 12-14, 2021 CONFERENCE COMMITTEES Steering Committee ? Sa?d Assar, Institut Mines-Telecom Business School, France ? Marko Bajec,University of Ljubljana, Slovenia ? Pericles Loucopoulos, Manchester University, University Kingdom ? Haralambos Moratidis, University of Brighton, United Kingdom ? Selmin Nurcan, Universit? Paris 1 Panth?on-Sorbonne, France ? Oscar Pastor, Universitat Polit?cnica de Val?ncia, Spain ? Jolita Ralyt?, CUI, University of Geneva, Suisse ? Colette Rolland, Universit? Paris 1 Panth?on-Sorbonne, France ? Jelena Zdravkovic, Stockholm University, Sweden General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Selmin Nurcan, Universit? Paris 1 Panth?on-Sorbonne, France Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Samira Cherfi, CNAM, France ? Anna Perini, FBK, Italy Social Media Chairs ? Itzel Morales Ramirez, Instituto de Ingenier?a de la UNAM, Mexico ? V?tor E. Silva Souza, UFES, Brasil Proceedings Chair ? Raihana Ferdous, FBK, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From georgios.yannakakis at um.edu.mt Sat Jan 23 04:50:02 2021 From: georgios.yannakakis at um.edu.mt (Georgios N Yannakakis) Date: Sat, 23 Jan 2021 10:50:02 +0100 Subject: Connectionists: Postdoc, PhD and Developer Posts - AI and Games (Deadline: Feb-8) In-Reply-To: References: Message-ID: ***apologies for cross-postings*** New Postdoc, PhD and developer posts at the Institute of Digital Games Are you interested in research (Postdoc/PhD) or dev work at the intersections of AI/DL/ML/evolutionary computation, affective computing, and generative systems in games, simulated worlds and architectural spaces? We are looking for candidates with an excellent output within one or more of the above areas. Join our AI research group ( https://www.um.edu.mt/digitalgames/airesearchgroup) at the Institute of Digital Games (http://www.game.edu.mt/) of the University of Malta, by applying here (by Feb-8): https://bit.ly/2LU472p -- Georgios N. Yannakakis Professor, Director Institute of Digital Games University of Malta, Msida 2080 Malta -------------- next part -------------- An HTML attachment was scrubbed... URL: From salah at boun.edu.tr Sat Jan 23 08:55:04 2021 From: salah at boun.edu.tr (Albert Ali Salah) Date: Sat, 23 Jan 2021 14:55:04 +0100 Subject: Connectionists: =?utf-8?b?W2pvdXJuYWxzXSBDZlA6IOKAnFNwZWNpYWwg?= =?utf-8?q?Issue_on_Computer_Vision_Techniques_Applied_to_Human_Beh?= =?utf-8?q?aviour_Analysis_in_the_Real-World=E2=80=9D_=5BIntelligen?= =?utf-8?q?t_Sensors=5D?= Message-ID: With apologies for cross-posting, please see below information on the?S pecial Issue titled ?Computer Vision Techniques Applied to Human Behaviour Analysis in the Real-World? in MDPI Intelligent Sensors (IF: 3.275). Submission Information ====================================== https://www.mdpi.com/journal/sensors/special_issues/human_behaviour_analysis Submission Deadline ====================================== The special issue is now open for submission. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed on the special issue website.?Manuscripts can be submitted until the 1st of August 2021. Guest Editors ====================================== Dr. Oya Celiktutan, King?s College London, United Kingdom Dr. Albert Ali Salah, Utrecht University, The Netherlands and Bogazici University, Turkey Dr. Dongmei Jiang, Northwestern Polytechnical University, China About the Special Issue ====================================== Intelligent devices, such as smart wearables, intelligent vehicles, virtual assistants and robots, are progressively becoming widespread in many aspects of our daily lives, where effective interaction is increasingly desirable. In such applications, the more information exchanged between the user and the system through multiple modalities, the more versatile, efficient and natural the interaction becomes. Currently, modern intelligent devices do not take into account the user state sufficiently into consideration and thus suffer from lack of personalization and low engagement. In particular, interaction logs and verbal data alone are not adequate for genuinely interpreting human behaviours, and therefore there has been a significant effort to analyse human behaviours from video data. Although significant progress has been made so far, there is still much room for improvement in moving from controlled and acted settings to real-world settings. The key aim of this Special Issue is to bring together cutting-edge research and innovative computer vision techniques applied to human behaviour analysis, from the recognition of gestures and activities to the interpretation of these cues at a higher level for predicting cognitive, social and emotional states. Special issue topics include, but are not limited to: - Unsupervised, semi-supervised and supervised learning-based approaches to human behaviour analysis - Face, gesture and body analysis - Activity recognition and anticipation - Affect and emotion recognition - Interactive behaviour analysis, including multiparty interaction, human-computer interaction, human-robot interaction - Multimodal behaviour analysis, in particular, combining vision with other modalities (e.g., audio, vital signs) - Societal and ethical considerations of human behaviour analysis, including explainability, bias, fairness, privacy - Real-time systems for human behaviour analysis on devices with limited on-board computational power - Databases and open-source tools for human behaviour analysis - Applications in education, healthcare, smart environments, autonomous driving, or any related field Article Processing Charges (APC) Information ====================================== A limited number of 100% APC waivers or 50% discounts to reduce APC is available for high-quality manuscripts and significant contributions. For more information about APC, please see https://www.mdpi.com/journal/sensors . We look forward to your contributions! With many thanks & best regards, Guest Editors -- Albert Ali Salah, PhD Prof. Social and Affective Computing, Department of Information and Computing Sciences, Utrecht University, www.cs.uu.nl Adjunct Prof., Department of Computer Engineering, Bogazici University, www.cmpe.boun.edu.tr Personal: http://www.staff.science.uu.nl/~salah006/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Bowers at bristol.ac.uk Sun Jan 24 14:17:59 2021 From: J.Bowers at bristol.ac.uk (Jeffrey Bowers) Date: Sun, 24 Jan 2021 19:17:59 +0000 Subject: Connectionists: Two positions in neural network modeling Message-ID: Please find link to two Research Associate (Postdoc) positions to join the ERC project "Generalisation in Mind and Machine" at University of Bristol, UK. One position is more junior (I would consider hiring talented persons with an undergraduate degree who have experience working with deep learning/NNs), and one more senior. The link will also lead you to information about our research and recent publications from our group https://mindandmachine.blogs.bristol.ac.uk/jobs/ Feel free to email me if you have any questions. Sincerely, Jeff Bowers -------------- next part -------------- An HTML attachment was scrubbed... URL: From akirapunk at gmail.com Sun Jan 24 18:58:04 2021 From: akirapunk at gmail.com (Nicola Catenacci) Date: Sun, 24 Jan 2021 23:58:04 +0000 Subject: Connectionists: PhD in Machine Learning, Decision-making and Stochastic Control at the University of Hertfordshire, UK Message-ID: [Apologies for multiple posts; please distribute to interested people!] *[LAST CALL, DEADLINE APPROACHING: 29/1/2021]* We are looking for applicants for a fully funded Phd (annual scholarship GBP 15,285) in the areas of Machine Learning, Decision-making and Stochastic Control at the Computer Science Department of the University of Hertfordshire, United Kingdom. *PhD Project* Recent progress in Artificial Intelligence has allowed computer scientists to solve problems that were considered unsolvable only a decade ago. The combination of Machine Learning, decision-making and stochastic control is at the heart of this success. In this project, the student will have the opportunity to master the latest techniques in reinforcement learning (RL) and contribute to design novel RL algorithms using deep learning (i.e., deep reinforcement learning) and probabilistic methods of Machine Learning (e.g, Bayesian inference or information theory). Possible topics of the project are meta-learning, meta-control and hierarchical aspects of RL, aiming at the design of agents with limited computational resources that can solve complex tasks in real-time scenarios. The applications used to benchmark the developed algorithms will include computer games or (simulated) robotic scenarios such as manipulation or intelligent autonomous vehicles. Applications including physical robots may be considered and carried out in conjunction with other labs. *Requirements* We are looking for a student with genuine interest in Artificial Intelligence. A background in computer science, engineering or mathematics, together with solid programming skills, are essential requirements. Experience in reinforcement learning, deep learning or robotics are not mandatory but desirable, and will be considered a plus during the selection process. The applicant will be expected to disseminate her/his work publishing scientific articles and/or participating at international conferences. To be fluent in English is mandatory. **Where** The PhD will take place in the SEPIA Lab (Sensor, Evolution, Processing, Information and Actuation), within the Adaptive System group of the CS department. The Lab is specialised in probabilistic approaches to Artificial Intelligence, used for a wide range of applications such as robotics, video-games and cognitive modelling. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the REF 2014, with 50% of the research submitted rated as internationally excellent or world leading.The University of Hertfordshire provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just 25 minutes by train to London. *How to Apply* The application must be done following the procedure indicated in this website: https://www.herts.ac.uk/study/schools-of-study/physics-engineering-and-computer-science/engineering-and-computer-science/research-in-engineering-and-computer-science/the-phd-programme-in-computer-science Interested applicants may want to contact Dr. Nicola Catenacci Volpi ( n.catenacci-volpi at herts.ac.uk) to discuss the project, the PhD program at the University of Hertfordshire and details about the application process. **Deadline** *29/1/2021* *-----------------------------------* Dr. Nicola Catenacci Volpi, PhD Research Fellowship in Information Theory for AI & Robotics Adaptive Systems Research Group The University of Hertfordshire Department of Computer Science College Lane Hatfield, Hertfordshire AL10 9AB United Kingdom E-mail: n.catenacci-volpi at herts.ac.uk Tel: +44-1707-28-4766 -------------- next part -------------- An HTML attachment was scrubbed... URL: From t.hospedales at ed.ac.uk Fri Jan 22 19:48:58 2021 From: t.hospedales at ed.ac.uk (Timothy Hospedales) Date: Fri, 22 Jan 2021 20:48:58 -0400 Subject: Connectionists: [CFP]: ICLR 2021 Workshop on Learning to Learn Message-ID: We invite submissions of papers to the ICLR 2021 workshop on Learning to Learn. ****** Key Info: ****** Workshop Website: https://sites.google.com/view/learning-2-learn/ The goal of the workshop is to bring together scientists from different backgrounds to further the understanding and development of learning to learn algorithms. In particular we are interested in creating a platform to enable the exchange between the fields of neuroscience and machine learning We welcome contributions on all aspects of Learning To Learn, and specifically encourage contributions with respect to: 1. What do we know about how humans learn to learn? How much of this knowledge has already been realized in intelligent systems and what remains to be explored? 2. What should be our expectation of meta learning in intelligent systems? Are we currently evaluating the performance of meta learning in a meaningful way or are our learning problems and evaluations ill-posed? 3. Related to 2), how does meta learning relate to the ?no free lunch? theorem, and how do we keep this in mind when implementing learning to learn approaches in intelligent systems. 4. How can we meta-learn in a lifelong learning setting? Should we meta-learn how to learn continuously or should we continuously meta-learn, or both? How do humans do it? ****** Key Dates: ****** Submission deadline: Feb 26th 2021 Workshop day: May 8th 2021 (virtual) ****** Workshop Abstract****** Recent years have seen a lot of interest in the use and development of learning-to-learn algorithms. In this workshop, we?d like to discuss how humans meta-learn, and what we can and should expect from learning-to-learn in the field of machine learning. In particular we are interested in creating a platform to enable the exchange between the fields of neuroscience and machine learning to create an opportunity to reflect upon questions that we believe are important to further advance the field of meta learning in the machine learning community. We believe that it is an important moment for the machine learning community to reflect upon these questions in order to advance the field and increase its variety in approaching learning to learn. We hope that by fostering discussions between cognitive science and machine learning researchers, we enable both sides to draw inspiration to further the understanding and development of learning-to-learn algorithms. Invited Speakers: Ishita Dasgupta (DeepMind) Risto Miikkulainen (University of Texas at Austin) Edward Grefenstette (FAIR) Jane Wang (DeepMind) Erin Grant (UC Berkeley) Jennifer Raymon (Stanford) We look forward to receiving your submissions! The organizing committee Sarah Bechtle (Max-Planck-Institute for Intelligent Systems, T?bingen) Todor Davchev (University of Edinburgh) Yevgen Chebotar (Google Brain) Timothy Hospedales (University of Edinburgh and Samsung AI Research) Franziska Meier (Facebook AI Research) Email: learningtolearn.iclr2021 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: not available URL: From O.Inel at tudelft.nl Mon Jan 25 04:53:22 2021 From: O.Inel at tudelft.nl (Oana Inel) Date: Mon, 25 Jan 2021 09:53:22 +0000 Subject: Connectionists: ACM UMAP 2021: Call for Doctoral Consortium Message-ID: ? Apologies for cross-posting ? ACM UMAP 2021: Call for Doctoral Consortium Important Dates ? Paper Submission: March 9, 2021 ? Notification to authors: March 31, 2021 ? Camera ready submission: April 11, 2021 ? ACM UMAP 2021 conference: June 21-25, 2021 ? ACM UMAP 2021 DC Session: TBD, 2021 Note: The submissions times are 11:59 PM AoE time (Anywhere on Earth) ACM UMAP 2021 is the premier international conference on systems that adapt to users and user models for adaptation. It includes a Doctoral Consortium (DC) Session. The DC provides an opportunity for doctoral students to explore and develop their research interests under the guidance of distinguished researchers from the field. Doctoral students are invited to apply to present their research to experienced scholars who will provide constructive feedback and advice. Students are expected to document in a brief submission their doctoral research (see below described submission information for further details), which will be evaluated by the consortium committee. Good quality applications will be selected for presentation at a Doctoral Consortium Session as part of the conference. Promising, but less well- developed applications will be selected for presentation at a poster session. Each student with an accepted submission will be assigned a mentor who will provide feedback on the student?s work and will discuss the doctoral research with the student and the audience at the consortium. How to Submit to the Doctoral Consortium To apply for the ACM UMAP 2021 doctoral consortium, students should submit a paper presenting their doctoral research organized under the following headings: ? Research Problem. The problem being addressed and a motivation outlining the relevance of the problem; ? Related Work. Work already performed by other researchers related to this problem. This should situate your work, showing your knowledge of the relevant previous work and how your work will make a new contribution; ? Research Questions and Proposed Approach. The main questions the PhD project aims to answer, contributions it aims to achieve, and the thesis methodology; ? Progress to Date and Future Work. The progress made to date (including a clear description of the approach, methodology and preliminary results) as well as the plan for further research. Topics include (but are not limited to) the ACM UMAP 2021 key areas. Each DC submission should cover: identification of related (state of the art) work, indication of the potential innovation, application or advancement of the state-of-the-art that the work intends to achieve. In addition, as appropriate for the PhD project, each submission may cover: indication of data to be used for experimentation, indication of implementation approach, indication of evaluation criteria and experimental design. Each DC paper submission should be accompanied by a cover page that states: the paper title, name of the PhD candidate, the name of his/her supervisor(s) and University, a paragraph describing the stage they are in the PhD programme, together with a brief description of their background. This will enable the committee to adapt its assistance to each student. The DC will be most useful to students who have completed enough of their thesis work to have a solid foundation with a clear topic and literature review but the student should be early enough in their studies to still benefit from guidance and advice. Papers should be submitted via the EasyChair submission system https://easychair.org/conferences/?conf=acmumap2021 by selecting the ?UMAP 2021 Doctoral Consortium? track. Papers will be reviewed single-blind and do not need to be anonymized before submission. Submissions should be a single pdf document consisting of 1 cover page and the paper (up to 7 pages long + references) in the new ACM single-column style. Papers must be formatted according to the new workflow for ACM publications. The templates and instructions are available here: https://www.acm.org/publications/taps/word-template-workflow . Authors should submit their papers as single-column. The templates are available here (we strongly recommend the usage of LaTeX for the camera-ready papers to minimize the extent of reformatting): ? LaTeX (use \documentclass[manuscript,review,anonymous]{acmart} in the sample-authordraft.tex file for single-column): https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-master.zip ? Overleaf (use\documentclass[manuscript,review,anonymous]{acmart} for single-column): https://www.overleaf.com/latex/templates/acm-conference-proceedings-master-template/pnrfvrrdbfwt ? MS Word: https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx NB: Accepted papers will require a further revision in order to meet the requirements and page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the papers will be provided after acceptance. ACM UMAP Proceedings The accepted ACM UMAP 2021 Doctoral Consortium papers will be included in the Conference Proceedings, which will be published by ACM and that will be available via the ACM Digital Library. The main author (doctoral student) must register for the conference and present the paper for the paper to be included in the proceedings. Financial Support ACM UMAP has a history of supporting students to attend. Authors of submissions to the DC will have higher priority for UMAP grant applications. Doctoral Consortium Chairs ? Noemi Mauro, University of Torino, Italy ? Stephan Weibelzahl, PFH Private University of Applied Sciences G?ttingen, Germany email: umap2021-dc AT um.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Jan 25 05:39:34 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 25 Jan 2021 12:39:34 +0200 Subject: Connectionists: CfP for EUSIPCO 2021 Special Session "Image and video analysis for autonomous drones" (Deadline February 12, 2021) References: <20210125121238.Horde.AQ_y2n7V29mPz9ur2FzTgp6@webmail.auth.gr> Message-ID: <005001d6f306$5f31c960$1d955c20$@csd.auth.gr> Dear drone imaging scientists and engineers, you are invited to submit an original, unpublished technical paper to the Special Session "Image and video analysis for autonomous drones" of EUSIPCO 2021: https://eusipco2021.org/. Conference submission deadline is February 12, 2021. Autonomous Unmanned Aerial Vehicles (UAVs, or drones) are becoming more and more important to many industries, promising simplified logistics, cost reductions, increased safety for humans, quicker response times and more accurate results, when compared to traditional procedures. Drones are highly useful thanks to their easy deployment, their aerial point-of-view and their ability to access difficult-to-reach spaces. Recent advances in aerial robotics and AI have already pushed drone automation to an unprecedented degree in various application domains, such as infrastructure inspection and maintenance, aerial cinematography, search and rescue operations, etc. Manipulation, processing, analysis and learning of visual signals lie at the forefront of this revolution. This special session will consider current research in this interdisciplinary subject, aiming to bring together researchers working on image/video analysis and experts in aerial robotics. Topics of interest may include, among others: - Embedded computer vision - Deep learning for image/video analysis - Multimodal perception - Sensor and data fusion - Fault and anomaly detection in drone footage - Subcentimeter-accuracy inspection - Autonomous drone cinematography - Vision-based localization and mapping - Vision-based drone navigation/control - Vision-based human-drone interaction This Special Session concerns a very timely topic with high industrial potential, given that fully/semi- automated drones are slowly emerging as a viable alternative to manually teleoperated ones, thanks to recent advances in robotics and AI. A lot of underlying cognitive functionalities that enable such autonomy, particularly the ones facilitating drone perception, rely on advanced image/video analysis methods for achieving their goals, making this a highly interdisciplinary topic of exceptional interest both to imaging scientists and aerial robotics researchers. The Special Session is organized by Prof. I. Pitas and Dr. I. Mademlis, from the Artificial Intelligence and Information Analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece (AUTH), under the auspices of the EU-funded Horizon 2020 programme AERIAL-CORE (https://aerial-core.eu/). Relevant links: 1) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 2) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours, Prof. I. Pitas, Dr. Ioannis Mademlis, Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus From O.Inel at tudelft.nl Mon Jan 25 06:03:00 2021 From: O.Inel at tudelft.nl (Oana Inel) Date: Mon, 25 Jan 2021 11:03:00 +0000 Subject: Connectionists: ACM UMAP 2021: Call for Demo and LBR Papers Message-ID: <06C1BD33-1BED-41D2-AFB0-DF68DE424695@tudelft.nl> ? Apologies for cross-posting ? ACM UMAP 2021: Call for Demo and LBR Papers Important Dates ? Submission of demos and LBR papers: March 26, 2021 ? Notification of acceptance: April 19, 2021 ? Camera-ready versions of accepted papers: May 7, 2021 ? Conference: June 21-25, 2021 Note: The submissions times are 11:59 pm AoE time (Anywhere on Earth) ACM UMAP 2021 ? User Modeling, Adaptation and Personalization is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP 2021 invites Demonstrations and Late-Breaking Results (LBR) papers of innovative UMAP-based systems (including research prototypes). You are encouraged to submit your Demo or LBR by March 26th, 2021. Submission formats For more details, see below! Demonstrations ? Max. 3 pages + max. 1 additional page for references ? (Required) unpublished page describing how they would present the demo virtually and/or in person ? (Optional) video or external material demonstrating the system ? Publication in ACM UMAP 2021 Adjunct Proceedings ? Presentation as a (potentially virtual) demo + poster at the conference Late-Breaking Results ? Max. 7 pages + max. 2 additional pages for references ? (NEW: required) unpublished page with a list of questions the authors aim to get feedback on ? Publication in ACM UMAP 2021 Adjunct Proceedings ? Presentation as a (potentially virtual) poster at the conference Submission via https://easychair.org/conferences/?conf=acmumap2021 Demonstrations Demonstrations will showcase research prototypes and commercially available products in a dedicated session. Demo submissions must be based on an implemented and tested system that pursues one or more innovative ideas in the interest areas of the conference. Demonstrations are an excellent and exciting way to showcase implementations and to get valuable feedback from the community. Each demo submission must make clear which aspects of the system will be demonstrated, and how these will be demonstrated on-site as well as online. To better identify the value of demos, we also encourage authors to submit a pointer to a screencast (max. 5 minutes on Vimeo or YouTube) or any external material related to the demo (e.g., shared code on GitHub). Descriptions of demonstrations should have a length of max. 3 pages + 1 page of references in the new ACM single-column style. On an extra page (not to be published), submissions should include a specification of the technical requirements for demonstrating the system at UMAP 2021. Given uncertainties surrounding the COVID-19 pandemic, this extra page should also describe if/how the demo can be presented in a virtual setting (e.g. with a video or a live link to the system). Late-Breaking Results Late-Breaking Results (LBR) are research-in-progress that must contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing both the theory and practice of User Modeling, Adaptation and Personalization. In addition, papers introducing recently started research projects or summarizing project results are welcome as well. We encourage researchers and practitioners to submit a late-breaking work as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. Late-Breaking Results papers have a length of up to 7 pages + 2 pages of references in the new ACM single-column style and will be presented to the conference as (in-person and virtual) posters. On an extra page (not to be published), submissions should include a list of questions that the authors aim to get feedback on during the poster session at UMAP 2021. Submission and Review Process Papers will be reviewed single-blind and do not need to be anonymized before submission. Papers (demo and LBR) must be formatted according to the new workflow for ACM publications. The templates and instructions are available here: https://www.acm.org/publications/taps/word-template-workflow. Authors should submit their papers as single-column. The templates are available here (we strongly recommend the usage of LaTeX for the camera-ready papers to minimize the extent of reformatting): ? LaTeX (use \documentclass[manuscript,review,anonymous]{acmart} in the sample-authordraft.tex file for single-column): https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-primary.zip ? Overleaf (use \documentclass[manuscript,review,anonymous]{acmart} for single-column): https://www.overleaf.com/latex/templates/acm-conference-proceedings-master-template/pnrfvrrdbfwt ? MS Word: https://www.acm.org/binaries/content/assets/publications/taps/acm_submission_template.docx Note: Accepted papers will require a further revision to meet the requirements and page limits of the camera-ready format required by ACM. Instructions for the preparation of the camera-ready versions of the papers will be provided after acceptance. Submit your papers in PDF format via EasyChair for ACM UMAP 2021 Demos and Late-Breaking Results at https://easychair.org/conferences/?conf=acmumap2021 (choose ?New Submission? and make sure to select ?UMAP 2021 Demo and LBR?). The review process will be single-blind, i.e. authors? names should be included in the papers. Submissions will be reviewed by at least two independent reviewers. They will be assessed based on their originality and novelty, potential contribution to the research field, potential impact in particular use cases, and the usefulness of presented experiences, as well as their overall readability. Papers that exceed the page limits or do not adhere to the formatting guidelines will be returned without review. Publication and Presentation Accepted Demo and Late-Breaking Results papers will be published in the ACM UMAP 2021 Adjunct Proceedings in the ACM Digital Library. All categories will be presented at the poster reception of the conference, in the form of a poster and/or a software demonstration following poster format. This form of presentation will provide presenters with an opportunity to obtain direct feedback about their work from a wide audience during the conference. Due to the uncertainties regarding the COVID-19 pandemic, the poster session may be partially or fully virtual. At least one author of each accepted paper must register for the conference and present the paper there. Late-Breaking Results and Demo Chairs ? Bart Knijnenburg, Clemson University, South Carolina, USA ? Eva Zangerle, Universit?t Innsbruck, Austria? Apologies for cross-posting ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From moritz.grosse-wentrup at univie.ac.at Mon Jan 25 10:27:47 2021 From: moritz.grosse-wentrup at univie.ac.at (Moritz Grosse-Wentrup) Date: Mon, 25 Jan 2021 16:27:47 +0100 Subject: Connectionists: [2nd BCI-UC] Voting and abstract submission closes this Friday In-Reply-To: <2f2cfc40-6577-0f33-1467-be4d162e9d93@univie.ac.at> References: <591cf8aa-c57b-8aad-1e57-23e2c7fbe9fc@univie.ac.at> <5f10ced6-8983-5142-7a2c-a9d27911305e@univie.ac.at> <2f2cfc40-6577-0f33-1467-be4d162e9d93@univie.ac.at> Message-ID: Dear colleagues, We have extended the deadline for abstract submission for the 2nd Brain-Computer Interface Un-Conference until this Friday at 11:59 pm CET: https://bciunconference.univie.ac.at/2nd-bci-uc/ The deadline for voting on submitted abstracts is extended accordingly. The BCI-UC committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Jiachen Xu -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna H?rlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup at univie.ac.at +43-1-4277-79610 http://neural.engineering/ From beierh at gmail.com Mon Jan 25 18:43:24 2021 From: beierh at gmail.com (Ulrik Beierholm) Date: Mon, 25 Jan 2021 23:43:24 +0000 Subject: Connectionists: Faculty positions in Cognitive Neuroscience at Durham University, UK In-Reply-To: References: Message-ID: The Department of Psychology at Durham University seeks to appoint up to eight talented individuals to the role of Assistant Professor across multiple recruitment calls this year. In the current call, we welcome applications from those with research and teaching interests in the broad field of Cognitive Neuroscience. We are particularly eager to hear from applicants with a focus on perception, action or multisensory integration, learning and memory, or clinically relevant research areas, and those working with imaging or neurostimulation methods (ie fMRI, EEG, TMS), or rodent models of cognition. We welcome applicants whose work would extend our Cognitive Neuroscience research and MSc teaching in novel directions, as well as those whose research can forge new links between Cognitive Neuroscience and our other research groups, Developmental Science and Quantitative Social Psychology. This post offers an exciting opportunity to make a major contribution to the development of internationally excellent research and teaching while allowing you unrivalled opportunities to progress and embed your career in an exciting and progressive institution. For more information, please follow the link https://durham.taleo.net/careersection/du_ext/jobdetail.ftl?job=21000110&tz=GMT%2B00%3A00&tzname=Europe%2FLondon ------------------------------------------- Ulrik Beierholm, PhD Assistant Professor Department of Psychology, Durham University http://beierholm.net > -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon Jan 25 15:06:55 2021 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 25 Jan 2021 12:06:55 -0800 Subject: Connectionists: CfP ISWC 2021 - Call for Workshops, Tutorials, and Papers Message-ID: Joint CfP: 20th International Semantic Web Conference (ISWC 2021) Virtual, October 24-28, 2021 https://iswc2021.semanticweb.org The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present the latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. Follow us 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 Join ISWC 2021 by submitting to the following tracks & activities, or by attending the virtual conference! Call for Workshops & Tutorials: https://iswc2021.semanticweb.org/workshops-and-tutorials-call Deadline: March 4, 2021 Call for Research Papers: https://iswc2021.semanticweb.org/research-track Call for Resource Papers: https://iswc2021.semanticweb.org/resources-track Call for In-Use Papers: https://iswc2021.semanticweb.org/in-use-call Abstract deadline: April 12, 2021 Full paper deadline: April 19, 2021 All deadlines are 23:59 AoE (Anywhere on Earth). More calls to be announced soon! The ISWC 2021 Organising Team https://iswc2021.semanticweb.org/organizing-committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From arminmustafa at gmail.com Tue Jan 26 07:01:25 2021 From: arminmustafa at gmail.com (armin mustafa) Date: Tue, 26 Jan 2021 12:01:25 +0000 Subject: Connectionists: [CFP] DynaVis @ CVPR 2021 In-Reply-To: References: Message-ID: DynaVis: The Third International Workshop on Dynamic Scene Reconstruction https://dynavis.github.io/ Workshop at CVPR 2021, Online Organizers: Armin Mustafa, Marco Volino, Michael Zollh?fer, Dan Casas, Christian Richardt, Adrian Hilton Call for contributions Reconstruction of general dynamic scenes is motivated by potential applications in film and broadcast production together with the ultimate goal of automatic understanding of real-world scenes from distributed camera networks. With recent advances in sensor hardware and the advent of learning-based approaches as well as virtual and augmented reality, dynamic scene reconstruction is being applied to ever more complex scenes with applications in healthcare, security, education, and entertainment, including games, film, and VR/AR. We welcome contributions to this workshop in the form of oral presentations, posters, and demos. Suggested topics include, but are not limited to: - Dynamic 3D reconstruction from single, stereo, or multiple views - Learning-based methods in dynamic scene reconstruction and understanding - Multi-modal dynamic scene modelling (RGBD, LIDAR, 360 videos, light fields) - 4D reconstruction and modelling - 3D data acquisition, representation, compression, and transmission - Scene analysis and understanding in 2D and 3D - Digital humans: motion and performance capture, bodies, faces, hands - Dynamic geometry processing - Computational videography - Scene modelling in the wild, moving cameras, handheld cameras - Applications of dynamic scene reconstruction: VR/AR, character animation, free-viewpoint video, relighting, medical imaging, creative content production, animal tracking, HCI, sports We welcome submissions from both industry and academia, including interdisciplinary work and work from outside of the mainstream computer vision community. We also welcome submissions from the CVPR main conference, regardless of their acceptance. Submission website: https://cmt3.research.microsoft.com/DYNAVIS2021/ Keynote Speakers - Prof. Lourdes Agapito Professor of 3D Vision in the Department of Computer Science , UCL and Co-Founder, Synthesia - Dr. Hao Li CEO and Co-Founder, Pinscreen Inc. Important Dates Paper submission deadline: Friday, 12 March 2021 Notification to authors: Monday, 29 March 2021 Camera-ready deadline: Friday, 9 April 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From francisco.pereira at gmail.com Tue Jan 26 08:16:34 2021 From: francisco.pereira at gmail.com (Francisco Pereira) Date: Tue, 26 Jan 2021 08:16:34 -0500 Subject: Connectionists: job post: machine learning research scientist at NIMH Message-ID: ### HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the leading federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). ### About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address a diverse set of research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. Our overarching goal is to use machine learning to improve every aspect of the scientific effort. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of high-end GPUs for deep learning, several large servers) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and publications at https://cmn.nimh.nih.gov/mlt ### About the position We are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Desirable experience that is not required, but will be considered very favorably: - neuroimaging data processing and analysis (any MRI modality, as well as MEG and EEG) - other types of neural data (e.g. neural recording, calcium imaging) - modelling of human and animal learning and decision-making - Bayesian statistical modelling Finally, you should have demonstrable experience programming in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. Experience with handling large datasets in high performance computing settings is also very valuable. Although this position requires a Ph.D. in a STEM discipline, we will consider applicants from a variety of backgrounds, as their research experience is the most important factor. This is an ideal position for someone who wants to establish a research career in method development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests. If you would like to be considered for this position, please send francisco.pereira at nih.gov a CV, with your email serving as cover letter. We especially encourage applications from women and members of underrepresented groups. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest! -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Tue Jan 26 09:10:10 2021 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Tue, 26 Jan 2021 14:10:10 +0000 Subject: Connectionists: [LAST CALL] Cognitive Neuroscience Research positions in Coimbra Portugal - open call for 2021 Message-ID: The Proaction Laboratory (Jorge Almeida's lab; proactionlab.fpce.uc.pt) at the University Coimbra Portugal is looking for Researchers at different levels of their career from newly phd graduates, to assistant, associate or full level researchers to be part of the lab in a joint competitive application to a Portuguese Science Foundation (FCT) independent researcher call. We particularly encourage applications from women, and from underrepresented groups in academia. The applicants should have an interest in cognitive neuroscience, vision science and preferably (but not limited to) object recognition, conceptual processing, and action and perception. We are particularly interested in motivated and independent Researchers addressing these topics with strong expertise in behavioral, motion tracking, neuromodulation, fMRI and/or EEG approaches (in particular Multivariate EEG decoding, and EEG/fMRI multimodal approaches). Good programming skills, great communication and mentoring skills, and a great command of English are a plus. The applicant and the lab will work on a competitive project to be submitted. Results from the application are expected to be out in October/November 2020. The application deadline is around February 29. The positions are as independent researchers in the Proaction Lab, are for 6 years, and the salary is the same as the Portuguese payroll for University Professors (net values for junior, assistant, associate positions, for instance are approximately 1500, 1900 and 2100 euros per month in a 14 month salary per year; these are competitive salaries for the cost of living in Portugal and especially in Coimbra). The Proaction Lab is currently very well funded as we have a set of on-going funded projects including a Starting Grant ERC to Jorge Almeida and several FCT projects. We have access to a 3T MRI scanner with a 64-channel coil (with EEG inside the scanner), to tDCS, and to a fully set psychophysics lab. We have a 256 ch EEG, motion tracking and eyetracking on site. We also have a science communication office dedicated to the lab. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. The deadline for this pre-application is January 30, but you should apply as soon as you can - the sooner the better so that we can prepare the application. If interested send an email to jorgecbalmeida at gmail.com, with a CV, and motivation/scientific proposal letter. If there is a fit, we will jointly apply to these positions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Wed Jan 27 01:03:26 2021 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 27 Jan 2021 06:03:26 +0000 Subject: Connectionists: Call for Papers: SBP-BRiMS'2021 -- Social Computing, Behavior-Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2021 2021 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 6--9, 2021 Conference will be Virtual http://sbp-brims.org/ #sbpbrims SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. IMPORTANT DATES: Regular Paper Submission: 09-April-2021 (Midnight EST) Author Notification: 03-May-2021 Camera-ready Submission (Regular Papers): 16-May-2021 Working/Late-breaking Paper: 23-May-2021 Doctoral Consortium: 23-May-2021 Tutorial, Demo Submission: 23-May-2021 Acceptance Notification: 14-June-2021 Challenge Submission: 23-May-2021 Challenge Notification: 14-June-2021 Final Video and PowerPoint Submission: 28-June-2021 Submit your paper here. Until the final paper deadline, you will be able to update your submission. Note, all papers undergo a rigorous peer review process for presentation in the plenary, regular, or poster sessions. All papers accepted to the plenary sessions will be published in the archival proceedings - the Springer LNCS volume. Only Regular papers will be evaluated for either the archival or online proceedings. The remaining tracks will be published online for 1 year on our non-archival conference website. Each accepted paper requires confirmation of conference registration and requires a separate registration prior to being considered for a plenary session (oral or poster). PAPER FORMATTING GUIDELINE: The papers must be in English and MUST be formatted according to the Springer-Verlag LNCS/LNAI guidelines. View sample LaTeX2e and WORD files. All regular paper submissions should be submitted as a paper with a maximum of 10 pages. Total page count includes all figures, tables, and references. Special Track on Human-Agent Teaming This year we are soliciting papers for a special workshop on human-agent teaming (or human-AI teaming) to be held during the conference. When submitting your paper in EasyChair please whether you want to be considered for this track. Special Track on COVID-19 & Validation This year we are soliciting papers for a special workshop on the COVID-19 pandemic to be held during the conference. We are particularly interested in papers focused on validation studies of models and tools used for COVID-19 response efforts. Validation studies evaluate the influence of important threats to validity, such as missing data, measurement error, and confounding. Validation studies are particularly important for assessing the utility of models and tools outside of similar settings (e.g., application of models and tools to the next pandemic or global disaster). When submitting your paper in EasyChair please indicate whether you want to be considered for this track. CHALLENGE PROBLEM: The conference expects to announce a computational challenge as in previous years. Additional details will be posted in December. Follow us on Facebook, Twitter and LinkedIn to receive updates. PRE-CONFERENCE TUTORIAL SESSIONS: Several half-day sessions will be offered on the day before the full conference. More details regarding the preconference tutorial sessions will be posted as soon as this information becomes available.. FUNDING PANEL & CROSS-FERTILIZATION ROUNDTABLES: The purpose of the cross-fertilization roundtables is to help participants become better acquainted with people outside of their discipline and with whom they might consider partnering on future SBP-related research collaborations. The Funding Panel provides an opportunity for conference participants to interact with program managers from various federal funding agencies, such as the National Science Foundation (NSF), National Institutes of Health (NIH), Office of Naval Research (ONR), Air Force Office of Scientific Research (AFOSR), Defense Threat Reduction Agency (DTRA), Defense Advanced Research Projects Agency (DARPA), Army Research Office (ARO), National Geospatial Intelligence Agency (NGA), and the Department of Veterans Affairs (VA). ATTENDANCE SCHOLARSHIPS: It is anticipated that a limited number of travel scholarships will be available on a competitive basis to students who are presenting papers. Additional information will be provided soon. TOPICS: Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interest include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling Agent-based modeling * Group formation, interaction, and/or evolution * Collective action and governance * Cultural patterns & representation * Social conventions, social contexts and processes * Influence process, recognition, and diffusion * Public opinion representation, identification and modeling Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes overtime * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military, Cyber, & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation Follow us on Facebook, Twitter and LinkedIn to receive updates. Visit our website: http://sbp-brims.org/ Download: Download Call for Papers in PDF format here. * Late breaking and short papers are now referred to as working papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Wed Jan 27 05:36:23 2021 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Wed, 27 Jan 2021 12:36:23 +0200 Subject: Connectionists: Call-for-Participation: ImageCLEF Detection and Recognition of Hand Drawn Website UIs Task Message-ID: [Apologies for multiple postings] ImageCLEFdrawnUI https://www.imageclef.org/2021/drawnui *** CALL FOR PARTICIPATION *** Building websites requires a very specific set of skills. Currently, the two main ways to achieve this is either by using a visual website builder or by programming. Both approaches have a steep learning curve. Enabling people to create websites by drawing them on a whiteboard or on a piece of paper would make the webpage building process more accessible. A first step in capturing the intent expressed by a user through a wireframe is to correctly detect a set of atomic user interface elements (UI) in their drawings. The bounding boxes and labels resulted from this detection step can then be used to accurately generate a website layout using various heuristics. In this context, the detection and recognition of hand drawn website UIs task addresses the problem of automatically recognizing the hand drawn objects representing website UIs, which are further used to be translated automatically into website code. *** TASKS *** Given a set of images of hand drawn UIs or webpages screenshots, participants are required to develop machine learning techniques that are able to predict the exact position and type of UI elements. *** DATA SETS *** #Wireframe Task 4,291 hand drawn images inspired from mobile application screenshots and actual web pages. Each image comes with the manual labeling of the positions of the bounding boxes corresponding to each UI element and its type. ?#Screenshots Task 9,630 screenshots of sections and full pages from high quality websites gathered using an in-house parser. Each image comes with the manual labeling of the positions of the bounding boxes corresponding to each UI element and its type. *** METRICS *** The performance of the algorithms will be evaluated using the standard mean Average Precision over IoU .5, commonly used in object detection. *** IMPORTANT DATES *** - Task registration opens: November 16, 2020 - Development data release: January 25, 2021 - Test data release: March 15, 2021 - Run submission: May 7, 2021 - Working notes submission: May 28, 2021 - CLEF 2021 conference: September 21-24, Bucharest, Romania *** REGISTER *** https://www.imageclef.org/2021#registration *** OVERALL COORDINATION *** Dimitri Fichou, teleportHQ, Cluj Napoca, Romania Raul Berari, teleportHQ, Cluj Napoca, Romania Andrei Tauteanu, teleportHQ, Cluj Napoca, Romania Paul Brie, teleportHQ, Cluj Napoca, Romania Mihai Dogariu, University Politehnica of Bucharest, Romania Liviu-Daniel Stefan, University Politehnica of Bucharest, Romania Mihai-Gabriel Constantin, University Politehnica of Bucharest, Romania Bogdan Ionescu, University Politehnica of Bucharest, Romania On behalf of the Organizers, Bogdan Ionescu https://www.AIMultimediaLab.ro/ From suashdeb at gmail.com Wed Jan 27 09:00:33 2021 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 27 Jan 2021 19:30:33 +0530 Subject: Connectionists: Final Extension of deadline (ISMSI21) Message-ID: Dear colleagues, Warm greetings to all. This is about 2021 5th International Conference on Intelligent Systems, Metaheuristics & Intelligent Systems (ISMSI21). The conference was slated to be held in Victoria, Seychelles during April 10-11, 2021 http://ismsi.org/ However, due to the prevailing global pandemic situation, the same would be held as a full-fledged virtual conference on the same date(s). EURO ( The Association of European Operational Research Societies) /its spl. interest group on Metaheuristics being the technical sponsors of the ISMSI21. Due to the numerous requests from our peers we have extended the submission deadline for a final time Extended Submission Deadline 20th Feb, 2021 Proceedings As in the previous 4 editions, the proceedings of ISMSI21 will be published by ICPS of ACM and published papers will be indexed by Ei Compendex & Scopus. Apart from the scope there is scope for a selected & subset of papers, after being extended, to be considered for publication at a special issue of the NCAA journal (a Springer publication with 2019 Impact Factor & 5 year Impact Factor of 4.774 & 4.627 respectively) https://www.springer.com/journal/521). Some papers may also be considered for EJOR, an Elsevier Publication ( 2019 Impact Factor & 5 year Impact Factor of 4.213 & 4.729 respectively) https://www.journals.elsevier.com/european-journal-of-operational-research Keynote Speeches Leading scientists from USA & Europe will deliver the Keynote Speeches at the conference http://ismsi.org/keynote.html We hope to receive your manuscript(s) in the coming days. Best regards, Suash Deb General Chair, ISMSI21 From Samuel.Neymotin at nki.rfmh.org Wed Jan 27 10:30:27 2021 From: Samuel.Neymotin at nki.rfmh.org (Neymotin, Samuel (NKI)) Date: Wed, 27 Jan 2021 15:30:27 +0000 Subject: Connectionists: Undergraduate computational neuroscience research position Message-ID: A new Army Research Office (ARO) undergraduate research apprenticeship program (URAP) position is available for the summer of 2021 at the Nathan Kline Institute for Psychiatric Research in Orangeburg, NY (https://www.nki.rfmh.org/). Research will be conducted under the mentorship of Samuel Neymotin, Haroon Anwar, and Salvador Dura-Bernal to help achieve the goals of an ARO grant (PI: Neymotin) that aims to train neocortical circuit models to play video games using biologically-plausible learning rules, and to compare the models? performance against commonly used deep reinforcement learning algorithms. Students will have the opportunity to learn cutting edge methods in computational neuroscience, machine learning, and Python software development, and potentially publish their results. Candidates will be considered based on their experience in computational neuroscience, machine learning, and Python programming. Candidates must be located within commuting distance to Nathan Kline Institute during the apprenticeship period. For consideration, please click the link to ?Apply Now? at https://www.usaeop.com/program/undergraduate-apprenticeships/ Make sure to use code U803 (Nathan Kline Institute) and apply by the deadline (March 15, 2021). Letters of recommendation are optional. For questions, email Samuel.Neymotin at nki.rfmh.org For more information about the URAP visit: http://www.usaeop.com/ ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicola.bellotto at gmail.com Wed Jan 27 17:24:43 2021 From: nicola.bellotto at gmail.com (Nicola Bellotto) Date: Wed, 27 Jan 2021 22:24:43 +0000 Subject: Connectionists: [jobs] CLOSING SOON! Postdoc in Robotics and AI @ University of Lincoln, UK Message-ID: Location: Lincoln, UK Salary: From ?33,797 per annum (full time, fixed term for 3 years) Closing Date: Thursday 04 February 2021 Interview Date: Tuesday 23 February 2021 Application: https://jobs.lincoln.ac.uk/vacancy.aspx?ref=COS803 The University of Lincoln is seeking to appoint a Postdoctoral Research Associate to join the School of Computer Science and the Lincoln Centre for Autonomous Systems (L-CAS). This position is externally funded by the Horizon 2020-funded project "Dynamic Agile production Robots that learn and optimise Knowledge and Operations" (DARKO). The project aims to develop a new generation of agile intralogistics robots with energy-efficient actuators for highly dynamic motion, which can operate safely within changing environments, have predictive planning capabilities, and are aware of human intentions. The University of Lincoln leads the project?s work package on Human-Robot Spatial Interaction (HRSI), including tasks for qualitative spatial modelling of human motion and causal inference for safe human-robot interaction. It will also contribute to other tasks for multi-sensor perception, human motion prediction, and robot intent communication. The successful candidate will be expected to conduct original research in the area of the project, including (but not limited to) the following topics: - causal inference and probabilistic methods for autonomous robots; - qualitative spatial reasoning for human-robot interaction; - machine learning for robot perception and navigation. The postdoc candidate should have, or expect to soon obtain, a PhD in a relevant area. S/he must possess excellent mathematical and coding skills (C++/Python). Some experience with ROS or other relevant software libraries is a plus. The post is funded for 3 years, with excellent opportunities for career development and progression. The role offers also the opportunity to engage in international collaborations within an ambitious and diverse team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions at the leading international conferences and journals. For more details, including how to apply: - Application: https://jobs.lincoln.ac.uk/vacancy.aspx?ref=COS803 - Project: https://cordis.europa.eu/project/id/101017274 Informal enquiries can be made to Dr Nicola Bellotto (email: nbellotto at lincoln.ac.uk). -- Nicola Bellotto, PhD Associate Professor School of Computer Science University of Lincoln Brayford Pool Lincoln, LN6 7TS United Kingdom Tel: +44 (0)1522 886080 https://lncn.ac/nbellotto From jorge.perez.rojas at gmail.com Wed Jan 27 21:06:43 2021 From: jorge.perez.rojas at gmail.com (Jorge Perez) Date: Wed, 27 Jan 2021 23:06:43 -0300 Subject: Connectionists: Call for 3 Tenure-Track Positions in Data Science and Artificial Intelligence at Universidad de Chile Message-ID: Call for 3 Tenure-Track Positions in Data Science and Artificial Intelligence Faculty of Physical and Mathematical Science, University of Chile Closing: March 6, 2021 Beginning of the Position: August 2021 Application Site (in Spanish): https://www.uchile.cl/concursoAcademico/ (code FM2007) The Positions The Faculty of Physical and Mathematical Sciences (FCFM, for its acronym in Spanish) at University of Chile is offering three full-time permanent positions (tenure track) to carry out research and teaching at both undergraduate and graduate level in the areas of Data Science and Artificial Intelligence (DS&AI). The candidates are expected to develop a strong and competitive research program. The official call (in Spanish) can be found at the following URL: https://www.uchile.cl/concursoAcademico/ The Candidates Candidates should be pursuing internationally recognized research in Theoretical or Applied Data Science and Artificial Intelligence. The specific areas of interest include (but are not limited to) Machine Learning, Representation Learning, Reinforcement Learning, Planning, Knowledge Representation, Knowledge Discovery, Data Mining and Data Visualization, as well as applications of them to other areas in Science and Engineering. The interdisciplinary nature of the candidates will be especially valued. Candidates must hold a Ph.D. degree and have demonstrated excellence in research with publications in prestigious DS&AI venues (conferences or journals). Successful candidates will be expected to move to Santiago, Chile (if currently living elsewhere), establish and lead their own research team, deliver innovative research at the highest international standard, deliver high quality teaching, supervise undergraduate, master and PhD students, and obtain competitive research funding from external funding bodies. Application The application site (in Spanish) can be found at https://www.uchile.cl/concursoAcademico/. For non Spanish speakers we can provide some guidance in the application process (please email your questions to direacad at ing.uchile.cl). The documents required in the application include: (1) Curriculum Vitae, (2) Cover Letter with a Statement of Purpose, (3) Research Plan, (4) Teaching Plan (Undergraduate and Postgraduate), (5) The three most relevant publications, (6) Citation Report (Web of Science and Google scholar), (7) Three recommendation Letters, (8) Copy of the Ph.D. Degree Certificates. Recommendation Letters should be sent by the recommender to concurso.academico at ing.uchile.cl mentioning the name of the candidate and the Positions? code (FM2007). Please see more details on the application site. In case of equality of background and final scores among applicants, the gender policy implemented by FCFM will be applied, selecting the female candidate. FCFM and the DS&AI Initiative FCFM is the leading Engineering School in Chile. It has been in existence for over 175 years and it is focused on higher education and on the development of basic sciences, engineering sciences and technological applications. FCFM have recently approved the creation of a Data Science and Artificial Intelligence Institute, with members from several Departments, including the Mathematics (dim.uchile.cl), Computer Science (dcc.uchile.cl), Electrical Engineering (die.cl), and Industry (dii.uchile.cl) Departments. The selected candidates will be part of this new DS&AI Institute and will be interacting with professors from all the mentioned departments in basic and applied research. Further information can be requested to the Academic and Research Director, Prof. Marcela Munizaga (direacad at ing.uchile.cl). -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Wed Jan 27 13:51:58 2021 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Wed, 27 Jan 2021 18:51:58 +0000 Subject: Connectionists: Healthcare text analytics conference (HealTAC) 2021 - first announcement Message-ID: ***************************************** Healthcare Text Analytics Conference HealTAC 2021 June 17-18, 2021 http://healtex.org/healtac-2021/ *************************************** We are delighted to announce HealTAC 2021, the forth annual Healthcare Text Analytics Conference. Given the ongoing situation with the COVID-19 pandemic, HealTAC 2021 will be an *online* event, but if the circumstances allow, we aim to organise a *blended* conference, with some activities also delivered face-to-face in London, UK. As in previous years, 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 data and share experience, results and challenges. *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 longitudinal models of NLP and their application to mental health. *Submissions*: We invite full and short papers, posters, PhD student/early postdoc papers, demos, tutorials and panel proposals that address any methodological or implementational aspect involved in processing and using healthcare free text data. Submissions are welcome from all disciplines interested in this area (NLP, speech processing, clinical and social care, legal, auditing etc.). *Key dates*: ? *March 15th 2021: *deadline for long and short papers, tutorial and panel proposals: ? *April 12th 2021: *deadline for posters, PhD forum and demo proposals: ? *April 23rd, 2021: *notification of acceptance: *Topics*: - Natural language processing of healthcare text - Information extraction: identification of clinical variables and their values in free-text - Speech analytics for healthcare applications - Medical ontologies and coding of healthcare text - Machine-learning approaches to healthcare text analytics - Transfer learning for healthcare text analytics - Processing patient-generated data (e.g. social media, health forums, diaries) - Processing clinical literature and trial reports - Integration of structured and unstructured resources for health applications - Text analytics and learning health systems - Explainable models for healthcare NLP - Real-time processing of healthcare free text - Real-world application of text analytics - Scalable and secure healthcare NLP infrastructures - Implementation of healthcare text analytics in practice: public engagement and trust - Sharing resources for healthcare text analytics (data and methods) - Reproducibility in the healthcare text analytics - Evaluation and assessment of text analytics methods - Text mining for veterinary medicine *Pre-conference even**t(s)*: There will be pre-conference events organised on June 16th - more information to follow soon. Details: *http://healtex.org/healtac-2021/ * Follow the conference announcements at *#HEALTAC2021*. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Jan 28 04:03:32 2021 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 28 Jan 2021 11:03:32 +0200 Subject: Connectionists: Last call for early registration: Short e-course on Machine Learning and Deep Neural Networks, 17-18th February 2021 Message-ID: <013301d6f554$749fdc60$5ddf9520$@csd.auth.gr> Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in this Short e-course on 'Machine Learning and Deep Neural Networks', 17-18th February 2021: https://icarus.csd.auth.gr/cvml-short-course-machine-learning-and-deep-neura l-networks/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. Course description 'Machine Learning and Deep Neural Networks' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation of Deep Neural Networks, which are at the forefront of AI advances today, starting with introduction to Machine Learning. Then the cornerstone DNN theory and technologies are presented: a) Artificial Neural Networks, Perceptron; b) Multilayer perceptron, Backpropagation; c) Deep neural networks. Both data classification and regression problems are treated. Convolutional NNs; d) Recurrent Neural Networks. Applications follow in several image analysis, computer vision and autonomous system applications, notably: a) Deep learning for object detection and b) Deep Semantic Image Segmentation. Finally, Generative Adversarial Networks are presented that promise to revolutionize the way we create media/arts, while seriously threatening our democracy with fake data creation and spread. Part B lectures (8 hours) provide fan in-depth presentation of Machine Learning to complement DNNs. Unsupervised Learning (Data Clustering) is first detailed, allowing us to find structure and extract concepts/knowledge from huge high-dimensionality data. Then Supervised Learning (Data Classification) techniques are presented, notably: a) Decision surfaces (whose special case is DNNs and SVMs) and b) Distance based classification. Dimensionality reduction techniques are overviewed, allowing us to visualize high-dimensionality data found in most applications, ranging from Medicine to Financial Engineering. Kernel methods are presented that can boost performance of any linear ML operation (e.g., PCA, K-means etc). Bayesian learning provides a unified theoretical framework that can encompass many of the ML approaches. Deep Reinforcement Learning is also presented, as it is an essential element in novel Robotics/Control and other decision-making application domains. Finally, CVML programming tools (e.g., DNN frameworks, BLAS/cuBLAS, DNN and CV libraries) are overviewed, as they allow fast application of all the above knowledge in almost any application domain. Course lectures Part A: Deep Neural networks (first day, 8 lectures) 1. Introduction to Machine Learning 2. Artificial Neural Networks, Perceptron 3. Multilayer perceptron. Backpropagation 4. Deep neural networks. Convolutional NNs 5. Deep learning for object detection 6. Deep Semantic Image Segmentation 7. Generative Adversarial Networks 8. Recurrent Neural Networks. LSTMs Part B: Machine Learning. Pattern Recognition (second day, 8 lectures) 1. Data Clustering 2. Decision Surfaces. Support Vector Machines 3. Distance-based Classification 4. Dimensionality Reduction 5. Kernel Methods 6. Bayesian Learning 7. Deep Reinforcement Learning 8. CVML Software Development Tools Though independent, the attendees of this short e-course will greatly benefit by attending the CVML short e-course on 'Computer Vision and Image Processing' 24-25th February 2021: https://icarus.csd.auth.gr/cvml-short-course-computer-vision-image-processin g/ You can use the following link for course registration: https://icarus.csd.auth.gr/cvml-short-course-machine-learning-and-deep-neura l-networks/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -- 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 kashefy at ni.tu-berlin.de Thu Jan 28 06:10:45 2021 From: kashefy at ni.tu-berlin.de (Youssef Kashef) Date: Thu, 28 Jan 2021 12:10:45 +0100 Subject: Connectionists: Ph.D. position on language processing in bilinguals @TU Berlin with UC Berkeley Message-ID: The CRCNS Research Project ?Language representations in bilinguals? addresses the question of how more than one language can co-exist in the human brain. We will develop a computational framework to understand how linguistic information across different languages is represented in bilinguals. Computational encoding models in combination with deep learning-based machine learning techniques will be developed, compared, and applied to identify linguistic representations in the brain. This work is in collaboration with Klaus Obermayer at the Technical University Berlin and Jack Gallant at the Helen Wills Neuroscience Institute at UC Berkeley. Please find further details about the positions and how to apply here . The application deadline is February 19th. For informal inquiries please contact Fatma Deniz (deniz at tu-berlin.de) directly. -- Youssef Kashef, Doctoral Candidate Neural Information Processing Group Fakultaet IV, Technische Universitaet Berlin MAR 5-6, Marchstr. 23, 10587 Berlin -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Thu Jan 28 08:53:20 2021 From: interdonatos at gmail.com (Roberto Interdonato) Date: Thu, 28 Jan 2021 14:53:20 +0100 Subject: Connectionists: CfP: "Digging into Feature-Rich Networks: unveiling connections in Big Data", Special Issue of Frontiers in Big Data Message-ID: CALL FOR PAPERS Frontiers in Big Data Special Issue on "Digging into Feature-Rich Networks: unveiling connections in Big Data" https://www.frontiersin.org/research-topics/16784/digging-into-feature-rich-networks-unveiling-connections-in-big-data GUEST EDITORS: Roberto Interdonato, CIRAD - UMR TETIS, Montpellier, France (roberto.interdonato at cirad.fr) Sabrina Gaito, Universit? degli Studi di Milano, Italy (gaito at di.unimi.it) Andrea Tagarelli, University of Calabria, Italy (andrea.tagarelli at unical.it) TOPIC SUMMARY: The recent progress of methodologies and technologies in the fields of Big Data Analytics, from one side, and Machine/Deep Learning, from another side, has given a new impulse to research on complex real-world behaviors and phenomena, which can be conveniently modeled as feature-rich networks. Such networks are designed to take the expressive power of graph data models of different types (e.g., Heterogeneous information networks, Multilayer networks, Temporal networks, Location-aware networks, Probabilistic networks) to a higher level whereby the contextual information of a target domain-specific environment are embedded into the network. The aim of this Research Topic, titled ?Digging into Feature-Rich Networks: unveiling connections in Big Data?, is to address challenging issues and emerging trends at the convergence of Network Science with Big Data Analytics and Machine/Deep Learning. The idea is to encourage the development of novel approaches based on advanced big data techniques and learning paradigms, that will enhance our understanding of complex phenomena in information networks. Moreover, we also aim to promote visionary works about alternative approaches for complex network analysis. These include not only long studied contexts such as social media and biological networks, but also less investigated or even new frontiers for network science, such as finance, engineering, archaeology, geology, astronomy, and many others. Although the use of feature-rich networks can intuitively be perceived as beneficial for most research tasks based on graph data, their expressive power has not been yet fully valued in most domains. Therefore, there is an emergence for providing insights into how the study of complex network models can pave the way for solving domain-specific problems that might not be adequately addressed by existing graph models. Within this view, we solicit contributions on advanced modeling and mining of feature-rich networks, regarding any data domain, including both theoretical and application-oriented studies. The topics of interest for this special issue include, but are not limited to: ? Foundations of Learning and Mining in feature-rich networks ? Simplification/pruning/sampling of feature-rich networks ? Embedding and Deep Learning in feature-rich networks ? Centrality and Ranking in feature-rich networks ? Vertex similarity in multiplex and feature-rich networks ? Community Detection in feature-rich networks ? Link Prediction in feature-rich networks ? Multiplex and feature-rich networks evolution models ? Ensemble learning for feature-rich networks mining ? Pattern mining in feature-rich networks ? User Behavior Modeling in feature-rich networks ? Influence propagation in feature-rich networks ? Reputation and Trust computing in feature-rich networks ? Probabilistic and Uncertain feature-rich networks ? Time-evolving feature-rich networks ? Hypergraph-based modeling, analysis and learning problems ? Cross-Domain problems in feature-rich networks ? Mobility in feature-rich networks ? Visualization of feature-rich networks ? Modeling and Analysis of IoT-based feature-rich networks ? Smart environment and smart city management with feature-rich networks Keywords: Network Science, Big Data Analytics, Deep Learning, Machine Learning, Information Networks, Feature-Rich Networks, Networks Mining Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review. IMPORTANT DATES: Abstract (optional) : 31 January 2021 Manuscripts Due: 30 April 2021 SUBMISSION GUIDELINES: Manuscript and abstracts can be submitted through the dedicated website at : https://www.frontiersin.org/research-topics/16784/digging-into-feature-rich-networks-unveiling-connections-in-big-data . The authors can choose between two different sections of Frontiers in Big Data at the moment of submission (Big Data Networks or Data Mining and Management). This does not impact on the peer reviewing process, but only on the categorization of the article in case of acceptance. -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonio.miranda at bsc.es Thu Jan 28 11:00:58 2021 From: antonio.miranda at bsc.es (Antonio Miranda) Date: Thu, 28 Jan 2021 17:00:58 +0100 Subject: Connectionists: CFP ProfNER shared task: Identification of professions & occupations in Health-related Social Media (SMM4H at NAACL) Message-ID: **** CFP SMM4H-SPANISH:ProfNER Shared Task (SMM4H - NAACL 2021) **** *ProfNER: **Identification of professions & occupations in Health-related Social Media (SMM4H at NAACL)* https://temu.bsc.es/smm4h-spanish/ We are organizing the first shared task specifically focusing on named entity recognition of professions & occupations in Social Media in Spanish. Specifically, we focus on Twitter data related to Covid-19 and lock-downs. ProfNER is part of The Social Media Mining for Health Applications (#SMM4H) Shared Task 2021. *The ProfNER sub-tracks:* *Tweet binary classification: *Participants must determine whether a tweet contains a mention of occupation, or not. *NER offset detection and classification**: *Participants must find the beginning and end of occupation mentions and classify them in the corresponding category *Key information:* *ProfNER web: *https://temu.bsc.es/smm4h-spanish/ *Datasets: *https://doi.org/10.5281/zenodo.4309356 *Registration: *https://forms.gle/1qs3rdNLDxAph88n6 *Task motivation* Some workers are at the forefront of the battle against the COVID-19 pandemic. Detecting vulnerable occupations is critical to prepare preventive measures related to exposure to the virus as well as indirect mental health issues due to fear of infection, confinement, etc. NLP systems benefit from recent NLP technologies such as transformers, novel language technologies and transfer learning and from the vast production of real-time data in social media. Following the previous organization of shared task with high impact with a considerable number of participants [Cantemist], [CodiEsp], [Meddocan] we are organizing the ProfNER track. It promotes the development of profession & occupation-related text mining resources in Spanish social media due to the special relevance of professions in the definition of at-risk groups. Systems capable of automatically processing social media texts are of interest to the medical user community, researchers, the pharmaceutical industry as well as patients. The detection of profession & occupation information is relevant for general NLP, occupational data mining, etc. Competing systems have the potential to generalize to alike use cases in other content types such as medical reports and in other languages. *Important dates* Dec, 15: Training & Development set release Feb, 15: Validation set submission due [Required] Mar, 1: Test set & background set release Mar, 4: Test set predictions due Mar, 15: System descriptions due Apr, 1: Acceptance notification Apr, 12: Camera-ready system descriptions June 6?11: NAACL 2021 conference *Publications and workshop* Each participating team will have the opportunity to submit a system description which will be published as part of the *shared task proceedings* . The 6th SMM4H Workshop, *co-located at NAACL 2021* More details are available at https://healthlanguageprocessing.org/smm4h-2021/ *Track Organizers* - *Martin Krallinger*, Barcelona Supercomputing Center, Spain - *Antonio Miranda-Escalada*, Barcelona Supercomputing Center, Spain - *Eul?lia Farr?*, Barcelona Supercomputing Center, Spain - *Salvador Lima*, Barcelona Supercomputing Center, Spain *SMM4H Organizers* - *Graciela Gonzalez-Hernandez*, University of Pennsylvania, USA - *Davy Weissenbacher*, University of Pennsylvania, USA - *Ari Z. Klein*, University of Pennsylvania, USA - *Karen O?Connor*, University of Pennsylvania, USA - *Abeed Sarker*, Emory University, USA - *Elena Tutubalina*, Kazan Federal University, Russia - *Zulfat Miftahutdinov*, Kazan Federal University, Russia - *Ilsear Alimova*, Kazan Federal University, Russia - *Martin Krallinger*, Barcelona Supercomputing Center, Spain - *Juan Banda*, Georgia State University, USA -- *Antonio Miranda* Biomedical Engineer at Barcelona Supercomputing Center *Phone: 0034 649227310* *Location: Madrid**, Spain* http://bsc.es/disclaimer -------------- next part -------------- An HTML attachment was scrubbed... URL: From apschaffer at simonsfoundation.org Thu Jan 28 15:50:41 2021 From: apschaffer at simonsfoundation.org (Alyssa Picchini Schaffer) Date: Thu, 28 Jan 2021 15:50:41 -0500 Subject: Connectionists: Simons Foundation Bridge to Independence (BTI) Award programs Message-ID: The Simons Foundation is invested in supporting the next generation of researchers. Our Bridge to Independence (BTI) Award programs promote talented early-career scientists by facilitating their transition to research independence and providing grant funding at the start of their professorships. We are offering such awards through two of our programs: the Simons Collaboration on the Global Brain (SCGB), and the Simons Foundation Autism Research Initiative (SFARI). These requests for applications (RFAs) are aimed at Ph.D. and M.D. ? holding scientists who are currently in training positions and intend to seek tenure-track faculty positions over the next two years (i.e., 2021-2023). Successful applicants will receive a commitment of $495,000 over three years, activated upon assumption of a tenure-track professorship. Visit bit.ly/3i3GNeA for more information on both programs. __________________________________ Alyssa Picchini Schaffer, PhD Senior Scientist & Administrative Director Neuroscience Collaborations *SIMONS FOUNDATION* 160 Fifth Avenue New York, NY 10010 646.654.0066 *main * 646.751.1277 *direct * 717.818.8281 *mobile* -------------- next part -------------- An HTML attachment was scrubbed... URL: From latorre at lsi.uji.es Fri Jan 29 03:13:41 2021 From: latorre at lsi.uji.es (Pedro Latorre Carmona) Date: Fri, 29 Jan 2021 09:13:41 +0100 Subject: Connectionists: Call for papers: ML for Remote Sensing Image/Signal Processing Message-ID: Call for papers Special Issue "Machine Learning for Remote Sensing Image/Signal Processing" Remote Sensing (MDPI) Journal Submission deadline: 31st December, 2021. Dear Colleagues, Machine learning techniques have been applied in remote sensing for more than 20 years now. We are, however, experiencing an explosion of new capabilities and application areas where machine learning in remote sensing is playing and will continue to play a capital role. In particular, new sensors with ever increasing capabilities and new computing hardware and software capabilities are allowing us to tackle problems that were considerably difficult to approach just a few years ago. This Special Issue is aimed at presenting new machine learning techniques and new application areas in remote sensing. We particularly welcome papers focused on, although not limited to, one or more of the following topics: ? Deep learning techniques for remote sensing ? Machine learning techniques for inference and retrieval of bio?geo?physical variables ? Machine learning for remote sensing data classification and regression ? Multi-temporal and multi-sensor data fusion, assimilation, and processing ? Machine learning platforms for big data and highly demanding remote sensing applications ? Machine learning for multispectral and hyperspectral remote sensing platforms and applications ? Machine learning for uncertainty analysis and assessment in remote sensing ? Machine learning for remote sensing estimation and characterization of highly variable and dynamic earth processes We would like this Special Issue to become an example of the most up-to-date machine learning approaches used to solve some of the problems considered by the remote sensing community. The website of the Special Issue can be found at: https://www.mdpi.com/journal/remotesensing/special_issues/ML_RS_Processing Prof. Dr. Pedro Latorre-Carmona Prof. Dr. Antonio J. Plaza Guest Editors -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Fri Jan 29 06:14:29 2021 From: publicity at acsos.org (ACSOS Publicity) Date: Fri, 29 Jan 2021 12:14:29 +0100 Subject: Connectionists: ACSOS 2021 CFP - 2nd IEEE International Conference on Autonomic Computing & Self-Organizing Systems In-Reply-To: References: Message-ID: <3e277f03-c549-18b6-df9e-446406e6bc16@acsos.org> *+***********************************************************+ +****************************************************** ACSOS 2021 - Call For Papers ***************************************+**** * *+***********************************************************+* *+* *+* *+*? 2nd IEEE International Conference on *+* *+*? Autonomic Computing and Self-Organizing Systems *+* *+* *+* *+*? 27 September -- 1 October 2021 ? Washington, DC, USA *+* *+* *+ + *https://conf.researchr.org/home/acsos-2021*+* *+* https://twitter.com/ACSOSconf *+ ***+* *+** *+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++** **+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++* ************************************** ********** Important Dates************* ************************************** ??? - Abstract submission deadline: *April 16th, 2021* ??? - Paper submission deadline: *April 23th, 2021* ??? - Notification to authors: *June 25th, 2021* ??? - Camera ready: *August 13th, 2021* ??? - ACSOS Conference: *September 27th -- October 1st, 2021* All times in Anywhere on Earth (AoE) timezone. ************************************* ******** 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. ************************************* ***** **Submission? Instructions ***** ************************************* *Research papers* (/up to 10 pages including images, tables, and references/) should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research. *Experience Reports* (/up to 10 pages including images, tables, and references/) cover innovative implementations, novel applications, interesting performance results and experience in applying recent research advance to practical situations on any topics of interest. *Vision Papers* (/up to 6 pages including images, tables, and references/) introduce ground-shaking, provocative, and even controversial ideas; discuss long term perspectives and challenges; focus on overlooked or underrepresented areas, and foster debate. All submissions must indicate a primary and (optionally) a secondary topic area from the following list: ?* /RM/: Resource Manargement in Data Centers and Cloud Computing ?* /CPS/: Cyber-Physical Systems (CPS) and Internet of Things (IoT) ?* /SOSA/: Theory and Practice of Self-Organization, Self-Adaptation, and Organic Computing ?* /ENG/: Software and Systems Engineering for Autonomic and Self-Organizing Systems ?* /SYS/: Systems theory for Autonomic and Self-Organizing Systems ?* /DATA/: Data-Driven Approaches to Autonomic and Self-Organizing Systems Analysis and Management ?* /NEW/: Emerging Computing Paradigms ?* /SOC/: Socio-technical Autonomic and Self-Organizing Systems ?* /LANG/: Languages and Formal Methods for Autonomic and Self-Organizing Systems ?* /COG/: Self-Aware, Reflective, and Cognitive Computing ?* /APP/: Application Areas for Autonomic and Self-Organizing Systems such as Autonomous Vehicles, Smart Cities, Swarms, etc. ?* /REL/: Assurances, security, resilience, and reliability of Autonomic and Self-Organizing Systems ?* /CROSS/: Cross-disciplinary research on e.g., complex systems, control theory, artificial intelligence, chemistry, psychology, sociology, and biology All submissions are required to be formatted according to the standard IEEE Computer Society Press proceedings style guide: . Papers are submitted electronically in PDF format through the ACSOS 2021 conference management system: . Research papers and experience reports will be included in the conference proceedings that will be published by IEEE Computer Society Press and made available as a part of the IEEE Digital Library. Vision papers will be part of a separate proceedings volume (the ACSOS Companion). As per the standard IEEE policies, all submissions should be original, i.e., they should not have been previously published in any conference proceedings, book, or journal and should not currently be under review for another archival conference. We would like to also highlight IEEE?s policies regarding plagiarism and self-plagiarism:. Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions. ************************************* ********* Review? Criteria ********* ************************************* */Research papers/* should highlight both theoretical and empirical contributions, substantiated by formal analysis, simulation, experimental evaluations, or comparative studies. Appropriate references must be made to related work. Due to the cross-disciplinary nature of the ACSOS conference, we encourage papers to be intelligible and relevant to researchers who are not members of the same specialized sub-field. Moreover, research papers should provide an indication of the real-world relevance of the problem that is solved, including a description of the domain, and an evaluation of performance, usability, and/or comparison to alternative approaches. */Experience reports/* should provide insights into any aspect of design, implementation or management of self-* systems that would be of benefit to practitioners and the ACSOS community. */Vision Papers/* should introduce innovative, risky, visionary, and provocative ideas, spotlighting overlooked areas, raising controversial points, and exploring cross-disciplinary contaminations. /*All submissions*/ will be rigorously peer-reviewed and evaluated based on the quality of their technical contribution, originality, soundness, significance, presentation, understanding of the state of the art, and overall quality. We intend to continue the tradition of giving the best papers of the conference an opportunity to publish an extended version in a */special issue/* of ACM Transactions on Autonomous and Adaptive Systems (TAAS). The */Karsten Schwan Best Paper Award/* will be awarded to a selected paper. * ****************************************** ***?????????????? (NEW!)******* ***??? Artifact Evaluation program? ?? *** ******************************************* For the first time, ACSOS introduces an */artifact evaluation program/*. To improve reproducibility of results, /authors of accepted papers/ with a computational component are invited to submit their code and/or their data to an */optional/* artifact evaluation process. A dedicated committee will be in charge of reproducing the results presented in the accepted papers. */Participation in the program is OPTIONAL and does not impact the paper acceptance in any way/*. The best artifacts will be awarded the IEEE ACSOS Best Software Artifact Award. Artifacts that are successfully reproduced will be highlighted in the conference program, and they will feature in the corresponding camera ready paper a badge of reproducibility. For more information, please refer to the First ACSOS Artifact Evaluation program page. *************************************** *********** Demos & Posters ************ *************************************** Posters provide a forum for authors to present their work in an informal and interactive setting. They allow authors and interested participants to engage in discussions about their work. Demonstration should present an existing tool or research prototype. Authors are expected to perform a live demonstration on their own hardware during the poster and demonstration session. 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 posters and demos. *************************************** ******* Workshops and 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. *************************************** ********** Doctoral Symposium ********** *************************************** The Doctoral Symposium provides an international forum for PhD students working in ACSOS-related research fields to present their work to a diverse audience of leading experts in the field, to gain both insightful feedback and discussion points around their research as well as the invaluable experience of presenting new research to an international audience. 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 Doctoral Symposium call for participation. ************************************************************************ *****????? ? ????? ????? ? ACSOS? in? Practice ?????? ?????? ***** ***** Accelerating Convergence between Academia and Industry (ACAI) ***** ************************************************************************ . ACAI at ACSOS features short vision talks and opportunities for researchers to brainstorm potential collaborations. We ask ALL ACAI attendees to submit information about their interests, qualifications and visions for ACAI. 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 ACAI at ACSOS2021 call for papers. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Fri Jan 29 08:10:58 2021 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Fri, 29 Jan 2021 13:10:58 +0000 Subject: Connectionists: NEURAL NETWORKS, Feb. 2021 Message-ID: Neural Networks - Volume 134,February 2021 https://www.journals.elsevier.com/neural-networks State bounding for fuzzy memristive neural networks with bounded input disturbances Yu Gao, Song Zhu, Chunyu Yang, Shiping Wen Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task Xiaohan Zhang, Lu Liu, Guodong Long, Jing Jiang, Shenquan Liu A brain-inspired network architecture for cost-efficient object recognition in shallow hierarchical neural networks Youngjin Park, Seungdae Baek, Se-Bum Paik Deep-learned spike representations and sorting via an ensemble of auto-encoders Junsik Eom, In Yong Park, Sewon Kim, Hanbyol Jang, ... Dosik Hwang Modality independent adversarial network for generalized zero shot image classification Haofeng Zhang, Yinduo Wang, Yang Long, Longzhi Yang, Ling Shao Learning sparse and meaningful representations through embodiment Viviane Clay, Peter Konig, Kai-Uwe Kuhnberger, Gordon Pipa Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems Bo Zhao, Fangchao Luo, Haowei Lin, Derong Liu Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network V.A. Demin, D.V. Nekhaev, I.A. Surazhevsky, K.E. Nikiruy, ... M.V. Kovalchuk Efficient architecture for deep neural networks with heterogeneous sensitivity Hyunjoong Cho, Jinhyeok Jang, Chanhyeok Lee, Seungjoon Yang Bridging multimedia heterogeneity gap via Graph Representation Learning for cross-modal retrieval Qingrong Cheng, Xiaodong Gu Approximation rates for neural networks with encodable weights in smoothness spaces Ingo Guhring, Mones Raslan Effect of diverse recoding of granule cells on optokinetic response in a cerebellar ring network with synaptic plasticity Sang-Yoon Kim, Woochang Lim Distant Supervision Relation Extraction via adaptive dependency-path and additional knowledge graph supervision Yong Shi, Yang Xiao, Pei Quan, MingLong Lei, Lingfeng Niu Generating photo-realistic training data to improve face recognition accuracy Daniel Saez Trigueros, Li Meng, Margaret Hartnett -------------- next part -------------- An HTML attachment was scrubbed... URL: From helena at incf.org Fri Jan 29 08:39:06 2021 From: helena at incf.org (Helena Ledmyr) Date: Fri, 29 Jan 2021 14:39:06 +0100 Subject: Connectionists: Save the date: virtual INCF Assembly 19-27 April, 2021 Message-ID: Dear INCF community, The INCF Assembly will be a virtual meeting this year, starting on April 19. The program is currently being fine-tuned and will include: - FAIR approaches for neuroscience in general, neuroimaging, electrophysiology, and computational neuroscience - Electrophysiology, and computational neuroscience - Data science - Showcase of tools, infrastructures - Information about ongoing work in INCF councils and committees - Funders and publishers roundtable - Workshops on developing standards and a roadmap for FAIR neuroscience Abstract submission will reopen within the next couple of weeks, as will registration. If you submitted an abstract for the cancelled 2020 Assembly you will be contacted with the option to keep or retract your abstract. Registration fees are discounted for INCF members - sign up for INCF membership here ! We hope to see you at the INCF Assembly ! All the best Helena ----------------------------- 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 terese at imse-cnm.csic.es Sat Jan 30 14:57:45 2021 From: terese at imse-cnm.csic.es (Teresa Serrano) Date: Sat, 30 Jan 2021 20:57:45 +0100 Subject: Connectionists: IEEE COINS 2021 Special Track on Circuits and Systems (CAS) Designs for Future Artificial Intelligence, Internet of Things, and Big Data Applications In-Reply-To: <79efb537-11bd-6ea0-15b8-2514741bce3c@imse-cnm.csic.es> References: <79efb537-11bd-6ea0-15b8-2514741bce3c@imse-cnm.csic.es> Message-ID: <9a7db047-ec63-8657-e901-519133b17e1b@imse-cnm.csic.es> FYI *IEEE COINS 2021: IEEE International Conference on Omni-Layer Intelligent Systems * Barcelona, Spain?|?August 23-25, 2021 Deadline: April 30, 2021 http://coinsconf.com IEEE COINS includes a multi-disciplinary program from technical research papers, to panels, workshops, and tutorials on the latest technology developments and innovations. IEEE COINS will address all important aspects of the IoT ecosystem. IEEE COINS solicits papers and proposals accompanying submissions for?presentations in the Vertical and Topical Tracks. *Topical Area Tracks:* 1) Internet of Things: From Device to Edge, and Cloud 2) Sensors and Sensing Systems 3) Circuits and Systems for Artificial Intelligence, and Internet of Things 4) Communications, Connectivity, and Networking 5) Big Data, Data Engineering, and Data Analytics 6) Artificial Intelligence, Machine Learning, and Cognitive Computing 7) Distributed Ledger Technologies and Blockchain 8) Design Automation in AI & IoT Era: From Chips to Systems 9) Security and Privacy 10) Intelligent Robots and Systems 11) Applications, Processes, and Services *Vertical Tracks:* 1) Smart City 2) Industry 4.0 3) e-Health and Wearable IoT 4) Agri-Tech 5) Smart Energy *Special Tracks:* 1) Critical System Design 2) European Projects on Intelligent Systems 3) Emerging Technologies on intelligent systems 4) Cognitive Environment Track 5) Machine Learning/Artificial Intelligence Techniques for IoT networks of Smart Cities based on Edge to Cloud orchestration 6) Clinical Decision Support System for supporting COVID-19 pandemic Submission of Regular Papers and? Special Session Papers *April 30, 2021* IEEE COINS will publish accepted papers in the conference proceedings and the proceedings will be submitted to the IEEE Xplore Digital library and indexing services. *__* *_Selected best contributions of IEEE COINS will be invited to submit expanded versions of their studies to IEEE IoTJ (IF=9.936) for review and?potential?publication_* ------------------------------------------------------------------------------------------------------------ *SPONSORS**?& SUPPORTERS* ------------------------------------------------------------------------------------------------------------ IEEE RAS IEEE CEDA IEEE Computer Society IEEE IoT Industrial Cyber-Physical Systems TC (IEEE IES) eHealth TC (IEEE ComSoc) VLSI Systems and Applications (IEEE CASS) -- Teresa Serrano Gotarredona Investigadora Cient?fica / Research Scientist Imagen Logo IMSE-CNM C/ Am?rico Vespucio, 28 Parque Cient?fico y Tecnol?gico Cartuja 41092 Sevilla. SPAIN Ph.: +34 954 466 666 ? Fax: +34 954 466 600 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Call-for-Papers_AI CAS--2021.pdf Type: application/pdf Size: 534047 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Call-for-Papers-All-tracks.pdf Type: application/pdf Size: 664779 bytes Desc: not available URL: From george at cs.ucy.ac.cy Sun Jan 31 05:38:44 2021 From: george at cs.ucy.ac.cy (George A. Papadopoulos) Date: Sun, 31 Jan 2021 12:38:44 +0200 Subject: Connectionists: 8th International Symposium on End-User Development (IS-EUD 2021): Second Call for Papers Message-ID: *** Second Call for Papers *** 8th International Symposium on End-User Development (IS-EUD 2021): "Democratizing AI Development" July 6-8, 2021, Atlantica Miramare Beach Hotel 4*, Limassol, Cyprus http://cyprusconferences.org/iseud2021/ End-user development (EUD) aims at empowering end users to develop and adapt systems at a level of complexity that is adequate to their expertise, practices, and skills. EUD may occur along the entire software lifecycle, with the purpose of making users able to participate in their artifact development, not only at design time, but also during actual use. Originally, EUD was conceived as a more general concept than end-user programming; thus, scholars proposed methods, techniques and tools that allow end users to modify or extend software artifacts, such as spreadsheets, web applications, video games, and mobile applications. In the co-called Internet of Things era, end-user development moved on to address the problem of defining and modifying the behavior of smart environments, including smart objects, pervasive displays, smart homes, smart cities, and so on. Therefore, the term "end-user development" acquired a broader meaning covering approaches, frameworks and socio-technical environments that allow end users to express themselves in crafting digital artifacts that encompass both software and hardware technology. Recent research and technological trends like Artificial Intelligence (AI), Big Data, Cyber-Security, Robotics, and Industry 4.0, have contributed to renew the vision of end-user development, by providing tools and platforms that allow end users to harness the power of AI to create solutions involving Computer Vision, Image Processing, Conversational User Interfaces, as well as solutions for smart environments. Such developments lower the threshold for creating AI solutions, and expand the programmer base for such solutions, by extending AI application both for professional and discretionary use. IS-EUD is a bi-annual event for researchers and practitioners with an interdisciplinary approach to EUD, including: Human-Computer Interaction, Software Engineering, Computer Supported Cooperative Work, Human-Work Interaction Design, and related areas. IS-EUD 2021 Theme: Democratizing AI Development The 2021 edition of IS-EUD focuses on EUD for AI-based systems, where end users are called on to become end-user developers of intelligent agents, digital twins, collaborative and social robots. This edition would like to discuss the adoption of EUD in new fields, the proposal of novel EUD paradigms, and the impact of AI-based EUD in terms of user acceptability and appropriation. One of the most interesting topics in human-AI interaction is explainability of AI-based systems: research submissions presenting end- user oriented solutions to this problem will be particularly welcome. Theoretical and empirical work analyzing pros and cons of this new EUD wave, identifying requirements for end-user development of AI and acceptance of related solutions is invited. Software infrastructures and eco- systems supporting the reuse of solutions and the emergence of meta- design practices are of particular interest to this community, linking the challenges relating AI to topics central to the IS-EUD community. Conference Topics The conference welcomes contributions that: ? describe new, simple and efficient environments for end-user development ? describe new processes, methods and techniques for empowering users to create, modify and tailor digital artifacts ? present case studies and design implications on challenges and practices of end-user development ? develop theoretical concepts and foundations for the field of end-user development Specific topics include (but are not limited to) the following ones: ? User-oriented orchestration of AI-based devices ? Conversational interfaces for end-user development ? End-user development for big data visualization and exploration ? End-user development for collaborative robotics ? End-user development for social robotics ? End-user development in Industry 4.0 ? End-user development and explainable AI-based systems ? Cybersecurity and end-user development ? End-user development in daily life ? Technologies and infrastructures for end-user development ? Empirical studies of end-user development ? Recommender systems to support end-user development ? Cultures of participation and meta-design approaches ? Technology acceptance and adoption studies of end-user development technologies ? Evaluation of end-user development technologies ? Supporting creative work through end-user development Submissions We invite two types of paper submissions: 1. Regular papers, up to 16 pages, describing original unpublished research making a substantial contribution to the research field 2. Short papers, up to 8 pages, describing original unpublished research, making a small but solid contribution to the field All submissions will be reviewed by the Program Committee. The review process for this category is double-blind, thus submissions must be anonymized. Accepted papers (both regular and short) will appear in the archival proceedings of IS-EUD 2021, published by Springer in the Lecture Notes on Computer Science (LNCS) series, and will be presented in plenary sessions of the conference. Workshop proposals are invited (max 6 pages) aligned to the themes of the conference. Workshops provide an informal setting where participants have the opportunity to discuss specific topics in an atmosphere that fosters the active exchange of ideas. Workshops can be half day or one-day long and will be held on July 6, 2021. Accepted workshop proposals will be included in the IS-EUD 2021 adjunct proceedings, which will be submitted to http://ceur-ws.org for online publication. Submissions of regular papers, short papers and workshop proposals should indicate in the title page "Regular", "Short" or "Workshop" respectively. Demonstration and Work in Progress papers are also welcomed. A Demonstration paper (max 6 pages) should be structured according to the following: ? Abstract (150 words maximum) ? Topics to be covered and their relevance to the EUD community ? Detailed description of the planned demonstration activity ? Diagrams or screenshots (if relevant) ? Supporting documentation (e.g., project website) ? References Work in Progress submissions (max 6 pages) are intended for presenting preliminary results or tentative findings and position papers. The authors of accepted contributions will have the opportunity to give an oral presentation during parallel sessions. Finally, the IS-EUD Doctoral Consortium is intended to bring together PhD students working on theory and application of EUD. We particularly encourage students that are about half-way through their doctoral research to submit doctoral consortium contributions (max 6 pages) describing the topic of their PhD, their approach and a summary of their progress. Demonstration, Work in Progress and Doctoral Consortium submissions should indicate in the title page "Demo", "WiP" or "DC" respectively. Accepted submissions will be included in IS-EUD 2021 adjunct proceedings, which will be submitted to http://ceur-ws.org for online publication. Submissions of all types should be carefully formatted according to the Springer LNCS format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines and should be submitted through the Easy Chair system at: https://easychair.org/conferences/?conf=iseud2021 Important Dates ? Regular and Short papers submission: March 8, 2021 ? Notification: March 30, 2021 ? Camera-ready: April 30, 2021 ? Workshop proposal submission: March 8, 2021 ? Notification: March 15, 2021 ? Camera-ready: April 30, 2021 ? Demonstration and Work in Progress submission: April 7, 2021 ? Notification: April 21, 2021 ? Camera-ready: April 30, 2021 ? Doctoral Consortium submission: April 7, 2021 ? Notification: April 30, 2021 ? Camera-ready: May 15, 2021 Organizers General Chairs ? Panos Markopoulos (Eindhoven University of Technology, The Netherlands) ? George A. Papadopoulos (University of Cyprus, Cyprus) Program Chairs ? Daniela Fogli (University of Brescia, Italy) ? Daniel Tetteroo (Eindhoven University of Technology, The Netherlands) Short papers Chairs ? Barbara Rita Barricelli (University of Brescia, Italy) ? Simone Borsci (University of Twente, The Netherlands) Work in Progress Chairs ? Jelle Van Dijk (University of Twente, The Netherlands) ? Carmen Santoro (ISTI-CNR, Italy) Demonstration Chair ? Stefano Valtolina (University of Milan, Italy) Workshop Chairs ? Styliani Kleanthous (Open University of Cyprus, Cyprus) ? Simone Stumpf (City University London, UK) Doctoral Consortium Chairs ? Monica Maceli (Pratt Institute, USA) ? Antonio Piccinno (University of Bari, Italy) -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandra.sciutti at gmail.com Fri Jan 29 15:01:29 2021 From: alessandra.sciutti at gmail.com (Alessandra) Date: Fri, 29 Jan 2021 21:01:29 +0100 Subject: Connectionists: Deadline Extension for submissions to the IEEE International Conference on Development and Learning ICDL 2021, ( 11th edition of the ICDL-EPIROB Conference). Message-ID: <007a01d6f679$88dd79a0$9a986ce0$@gmail.com> Due to multiple requests, the deadlines for the submission of workshop/tutorial proposals and papers have been postponed to the ***15th March 2021***. --- IEEE International Conference on Development and Learning (ICDL) 2021 (11th edition of ICDL-EPIROB) Conference dates: August 23rd-26th, 2021 Web page: https://icdl-2021.org/ An IEEE Computational Society-sponsored conference Location: Beijing, China (Due to the influence of COVID-19, IEEE ICDL 2021 may be held virtually.) Paper Submission Deadline: ***MARCH 15th, 2021*** Tutorial and Workshops Submission Deadline: ***MARCH 15th, 2021*** Journal Track Submission Deadline: April 28th, 2021 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental science. We invite submissions for the conference in 2021 to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field, in the form of full papers, workshop and tutorials and of submissions to the journal track. We also invite your participation in the REAL 2021 competition. More details on the call and the PDF version can be found at: https://icdl-2021.org/call/ ==== Topics ==== The primary list of topics of interest include (but are not limited to): . General principles of development and learning; . Development of skills in biological systems and robots; . Nature VS nurture, critical periods and developmental stages; . Models on active learning; . Architectures for cognitive development and life-long learning; . Emergence of body knowledge and affordance perception; . Analysis and modelling of human motion and state; . Models for prediction, planning and problem solving; . Models of human-human and human-robot interaction; . Emergence of verbal and non-verbal communication skills; . Epistemological foundations and philosophical issues; . Models of child development from experimental psychology. ==== Full Papers ==== Papers of at most 6 pages in IEEE double column format will undergo peer-review, and accepted and presented submissions will be included in the conference proceedings published by IEEE Xplore. The authors of the best conference papers will be invited to extend their contributions for a Special Issue of IEEE Transaction on Cognitive and Developmental Systems (IEEE TCDS). The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/ ==== Workshops and Tutorials === We invite experts in different areas to organize either a tutorial or a workshop to be held on the first day of the conference. The submission should be of maximum two pages including title, list of speakers, concept and target audience. It should include also a description of the structure of the event, the indication of the duration (half day or full day) and it should state whether the event is open to paper/poster submissions. If possible, a link to the event website should be provided. The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/#tutorial ==== Journal Track and Competition ==== We highly recommend the submission in Journal Track to discuss important results related to cognitive and developmental systems recently published as journal articles, but not been previously presented as conference papers. All submissions must include in a single PDF the details of the original journal paper and a cover letter to explain why the authors believe that the paper is central for ICDL. The detailed instructions for the submission can be found here: https://icdl-2021.org/submission/#journal We also strongly expect your participation in the REAL 2021 competition. The REAL competition addresses open-ended learning with a focus on "Robot open-Ended Autonomous Learning" (REAL)", that is, on systems that: (a) acquire sensorimotor competence that allows them to interact with objects and physical environments; (b) learn in a fully autonomous way, i.e. with no human intervention. Find all the details here: https://icdl-2021.org/competition/ ==== Important Dates ==== Conference dates: August 23rd-26th, 2021 Paper Submission deadline: MARCH 15th, 2021 Paper Author notification: MAY 15th, 2021 Camera ready due: JUNE 1st, 2021 Tutorial and Workshops Submission Deadline: MARCH 15th, 2021 Tutorial and Workshops Author notification: MAY 15th, 2021 Journal Track Submission Deadline: April 28th, 2021 Journal Track Notification: May 20th, 2021 ================= Best regards, Program Chairs Alessandra Sciutti (Italian Institute of Technology, Italy) Jing Chen (Peking University, China) Publication Chair Weiwei Wan (Osaka University, Japan) General Chairs Dingsheng Luo (Peking University, China) Angelo Cangelosi (University of Manchester, UK) Tutorial and Workshop Chair Xu Yang (Chinese Academy of Sciences, China) Competition Chairs Gianluca Baldassarre (National Research Council, Italy) Emilio Cartoni (National Research Council, Italy) Journal Track Chair Lorenzo Jamone (Queen Mary Univ. of London, UK) ---------------------------------------- Alessandra Sciutti (PhD) Researcher Tenure Track - P.I. CONTACT Unit Istituto Italiano di Tecnologia - Genova, Italy tel: +39 010 2897 327 ************* Currently editing a Research Topic on Affective Shared Perception Frontiers in Integrative Neuroscience and Frontiers in Robotics and AI. Interested in submitting? https://www.frontiersin.org/research-topics/16086/affective-shared-perceptio n ************* website: https://www.iit.it/people/alessandra-sciutti ERC website: https://www.whisperproject.eu/ TEDx talk (Italian): https://www.youtube.com/watch?reload=9&v=e0eMayWU_lc twitter: @alefreedot -------------- next part -------------- An HTML attachment was scrubbed... URL: From filippombianchi at gmail.com Sun Jan 31 08:26:10 2021 From: filippombianchi at gmail.com (filippo bianchi) Date: Sun, 31 Jan 2021 14:26:10 +0100 Subject: Connectionists: Postdoc in complex networks, dynamical systems, and Bayesian inference Message-ID: At the Department of Mathematics and Statistics at UiT the Arctic University of Norway (Troms?), a position is available for a 3-years Postdoctoral research fellow in complex networks, dynamical systems, and Bayesian inference. The possible research topics for the position are: - interpretation of dynamical systems from a complex network perspective - coupling Bayesian mathematics with probabilistic programming and deep learning - combine statistical inference with graph theory to perform inference on data represented as graphs - developing theoretically grounded machine learning models for graphs The main field of application will be energy analytics, with a particular focus on interpreting and modelling the energy grid as a complex network to solve clustering and optimization problems. The Postdoc Fellow will also have the opportunity to participate in other projects at the Department, focused on the epidemic spread over a community network and modelling climate systems as a complex network. The Postdoc Fellow is expected to: - conceive and develop their own research ideas - establish interdisciplinary collaborations with researchers from other fields - participate in the supervision of PhD students More information about the position and the instructions for applying are available here: https://www.jobbnorge.no/en/available-jobs/job/198918/postdoctoral-research-fellow-in-complex-networks-and-or-bayesian-inference The application deadline is *24 February 2021*. For any questions, you can send an email at filippo.m.bianchi at uit.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From jns9 at cornell.edu Fri Jan 29 17:23:51 2021 From: jns9 at cornell.edu (Jascha Sohl-Dickstein) Date: Fri, 29 Jan 2021 14:23:51 -0800 Subject: Connectionists: Call for tasks highlighting limitations of enormous language models In-Reply-To: References: Message-ID: You are invited to contribute a task to the Beyond the Imitation Game Benchmark (BIG-Bench ). BIG-Bench will be a collaborative benchmark intended to probe large language models, and extrapolate their future capabilities. Tasks will be submitted to the benchmark as GitHub pull requests, and will be subject to non-anonymous peer review through discussion on the pull request. The benchmark will be released at the Workshop on Enormous Language Models: Perspectives and Benchmarks at ICLR 2021, and published in an associated paper. All submitters of accepted tasks will be included as co-authors on the paper introducing the benchmark. Teams at Google and OpenAI have additionally committed to evaluate BIG-Bench on their best-performing language model architectures, across models spanning from tens of thousands through hundreds of billions of parameters. The results of this evaluation will be released at the workshop and also included in the associated paper. We believe that this benchmark is particularly timely, due to dramatic new capabilities that have recently been demonstrated by scaling up existing language model architectures (eg in GPT-3, BERT, RoBERTa, and T5). These results simultaneously raise the importance of understanding what additional capabilities will be unlocked with even greater scale, and suggest that performance on most existing benchmarks will be saturated within the next several years. We need new benchmarks that will measure the capabilities and limitations of large language models, and that will enable us to extrapolate their future capabilities. We particularly encourage submission of tasks by researchers in fields which probe the nature of language or intelligence, including: linguistics, cognitive science, philosophy, neuroscience, psychology, animal intelligence, and logic. We also particularly encourage submission of tasks by researchers who are skeptical of large language models. If you understand a limitation of large language models, this is an excellent opportunity to demonstrate it to the field. We emphasize that tasks which quantify social bias in language models are in scope for this benchmark. GitHub pull requests proposing tasks must be initiated by March 5 to participate in the workshop, and May 14 to be included in the benchmark. Authors are expected to participate in the review process via discussion on the pull request. We are also interested in including the performance of other large language models in the benchmark announcement paper. If you are a developer of a large language model, please reach out. See http://github.com/google/BIG-Bench for more information. Please forward this email to relevant email lists and interested colleagues, especially those in non-machine-learning disciplines! -------------- next part -------------- An HTML attachment was scrubbed... URL: