From cgf at isep.ipp.pt Wed Apr 1 12:09:08 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Wed, 1 Apr 2020 17:09:08 +0100 Subject: Connectionists: CFP: International Symposium on High-level Parallel Programming and Applications (HLPP 2020) @Porto, Portugal Message-ID: <0386529f-c3ce-2c91-39d4-b1b512723d98@isep.ipp.pt> HLPP 2020 The 13th International Symposium on High-level Parallel Programming and Applications Porto, Portugal, 9-10 July, 2020 https://hlpp2020.dcc.fc.up.pt/ hlpp2020 at dcc.fc.up.pt Aims and scope of HLPP ---------------------- As processor and system manufacturers increase the amount of both inter- and intra-chip parallelism it becomes crucial to provide the software industry with high-level, clean and efficient tools for parallel programming. Parallel and distributed programming methodologies are currently dominated by low-level techniques such as send/receive message passing, or equivalently unstructured shared memory mechanisms. Higher-level, structured approaches offer many possible advantages and have a key role to play in the scalable exploitation of ubiquitous parallelism. Since 2001 the HLPP series of workshops/symposia has been a forum for researchers developing state-of-the-art concepts, tools and applications for high-level parallel programming. The general emphasis is on software quality, programming productivity and high-level performance models. The 13th Symposium on High-Level Parallel Programming and Applications will be held in the Porto, Portugal. Topics ------ HLPP 2020 invites papers on all topics in high-level parallel programming, its tools and applications including, but not limited to, the following aspects: * High-level programming, performance models (BSP, CGM, LogP, MPM, etc.) and tools * Declarative parallel programming methodologies * Algorithmic skeletons and constructive methods * Declarative parallel programming languages and libraries: semantics and implementation * Verification of declarative parallel and distributed programs * Software synthesis, automatic code generation for parallel programming * Model-driven software engineering with parallel programs * High-level programming models for heterogeneous/hierarchical platforms * High-level parallel methods for large structured and semi-structured datasets * Applications of parallel systems using high?-level languages and tools * Formal models of timing and real-time verification for parallel systems Local Organization ------------------ In?s Dutra Miguel Areias Ricardo Rocha Important dates: ---------------- Submission deadline: 6th, April (anywhere on earth) Author notification: 4th, June Camera-ready for draft proceedings: 1st, July Early registration deadline: 10th, June Symposium: 9th-10th, July (Thursday/Friday) IJPP (HLPP special issue) submission deadline: 1st, October IJPP (HLPP special issue) camera-ready for journal publication: 01st, December Paper submission ---------------- Papers submitted to HLPP 2020 must describe original research results and must not have been published or simultaneously submitted anywhere else. Manuscripts must be prepared with the Springer IJSS latex macro package using the single column option (\documentclass[smallextended]{svjour3}) and submitted via the EasyChair Conference Management System as one pdf file. The strict page limit for initial submission and camera-ready version is 20 pages in the aforementioned format. Each paper will receive a minimum of three reviews by members of the international technical program committee. Papers will be selected based on their originality, relevance, technical clarity and quality of presentation. At least one author of each accepted paper must register for the HLPP 2020 symposium and present the paper. After the symposium you have ample time to revise the paper incorporating potential comments and remarks of your colleagues. We expect the the HLPP 2020 special issue of the International Journal of Parallel Programming (IJPP) to appear online-first by the end of the year and the printed edition in mid-2021. Proceedings ------------ Accepted papers will be distributed as informal draft proceedings during the symposium. Accepted papers will be published by Springer in a special issue of the International Journal of Parallel Programming (IJPP). Venue ----- HLPP 2020 will be hosted by the Dept. of Computer Science (GPS coords 41.152545, -8.640758) of the Faculty of Sciences of the University of Porto (FCUP). Participants may reserve rooms in several of the nearby Hotels. As the symposium will be held in the tourist season, the organizers recommend a timely reservation of rooms. The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. Portugal has again been awarded the best European Tourist Destination by the World Travel Awards, the Oscars equivalent in the field of tourism. Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From bogdanlapi at gmail.com Wed Apr 1 12:29:13 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Wed, 1 Apr 2020 19:29:13 +0300 Subject: Connectionists: 3rd Call-for-Participation & testset release: ImageCLEF 2020 Tasks Message-ID: [Apologies for multiple postings] ImageCLEF 2020 Multimedia Retrieval in CLEF http://www.imageclef.org/2020/ https://www.facebook.com/ImageClef/ https://twitter.com/imageclef/ *** CALL FOR PARTICIPATION *** ImageCLEF 2020 is an evaluation campaign that is being organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs. The campaign offers several research tasks that welcome participation from teams around the world. The results of the campaign appear in the working notes proceedings, published by CEUR Workshop Proceedings (CEUR-WS.org) and are presented in the CLEF conference. Selected contributions among the participants will be invited for submission to a special section "Best of CLEF'20 Labs" in the Springer Lecture Notes in Computer Science (LNCS) of CLEF'21, together with the annual lab overviews. Target communities involve (but are not limited to): - information retrieval (text, vision, audio, multimedia, social media, sensor data, etc.) - machine learning, deep learning - data mining - natural language processing - image and video processing - computer vision with special attention to the challenges of multi-modality, multi-linguality, and interactive search. *** 2020 TASKS *** *ImageCLEFlifelog* (4th edition) https://www.imageclef.org/2020/lifelog An increasingly wide range of personal devices that allow capturing pictures, videos, and audio clips for every moment of our lives, are becoming available. In this context, the task addresses the problems of lifelogging data retrieval and summarization. Organizers: Duc-Tien Dang-Nguyen (University of Bergen), Van-Tu Ninh, Tu-Khiem Le, Liting Zhou & Cathal Gurrin (Dubin City University), Luca Piras (Pluribus One & University of Cagliari), Michael Riegler & P?l Halvorsen (SimulaMet), Minh-Triet Tran (University of Science), Mathias Lux (Klagenfurt University). *ImageCLEFcoral* (2nd edition) https://www.imageclef.org/2020/coral The increasing use of structure-from-motion photogrammetry for modelling large-scale environments from action cameras has driven the next generation of visualization techniques. The task addresses the problem of automatically segmenting and labeling a collection of images that can be used in combination to create 3D models for the monitoring of coral reefs. Organizers: Jon Chamberlain, Adrian Clark & Alba Garc?a Seco de Herrera (University of Essex), Antonio Campello (Wellcome Trust). *ImageCLEFmedical* (2nd edition) https://www.imageclef.org/2020/medical Medical images can be used in a variety of scenarios and this task will combine the most popular medical tasks of ImageCLEF and continue the last year idea of combining various applications, namely: automatic image captioning and scene understanding, medical visual question answering and decision support on tuberculosis. This allows to explore synergies between the tasks. Organizers: Asma Ben Abacha & Dina Demner-Fushman (National Library of Medicine), Sadid A. Hasan (CVS Health), Vivek Datla & Joey Liu (Philips Research Cambridge), Obioma Pelka & Christoph M. Friedrich (University of Applied Sciences and Arts Dortmund), Alba Garc?a Seco de Herrera (University of Essex), Yashin Dicente Cid (University of Warwick), Serge Kozlovski, Vitali Liauchuk & Vassili Kovalev (United Institute of Informatics Problems), Henning M?ller (HES-SO). *ImageCLEFdrawnUI2020* (new) https://www.imageclef.org/2020/drawnui Enabling people to create websites by drawing them on a piece of paper can make the webpage building process more accessible. The task addresses the problem of automatically recognizing hand drawn objects representing website UIs, that will be further translated into automatic website code. Organizers: Paul Brie & Fichou Dimitri (teleportHQ), Mihai Dogariu, Liviu Daniel Stefan, Mihai Gabriel Constantin & Bogdan Ionescu (University Politehnica of Bucharest). *** IMPORTANT DATES *** (may vary depending on the task) - Task registration opens: December 20, 2019 - CLEF long and short paper submission: April 27, 2020 - Run submission: May 11, 2020 - Working notes submission: May 25, 2020 - CLEF 2020 conference: September 22-25, Thessaloniki, Greece *** OVERALL COORDINATION *** Bogdan Ionescu, University Politehnica of Bucharest, Romania Henning M?ller, HES-SO, Sierre, Switzerland Renaud P?teri, University of La Rochelle, France From albagarciaseco at gmail.com Wed Apr 1 11:30:36 2020 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Wed, 1 Apr 2020 17:30:36 +0200 Subject: Connectionists: ImageCLEF 2020 Coral task: Test set released Message-ID: *Please, apologies for cross-posting* We are happy to announce that the *test data* for the ImageCLEFcoral task at CLEF 2020 has been released. The test data contains images from four different locations: - same location as training set - similar location to training set - geographically similar to training set - geographically distinct from training set Participants will be required to annotate and localise coral reef images by labelling the images with types of benthic substrate together. Each image is provided with possible class types. The data is accessible through the crowdAI platform: https://www.aicrowd.com/challenges/imageclef-2020-coral-annotation-and-localisation/clef_task Remember that only participants with signed End User Agreement (EUA) will have access to the data. For more details and updates, please visit the task website at: https://www.imageclef.org/2020/coral And join our mailing list: https://groups.google.com/forum/#!forum/imageclefcoral If you participate in this task, you may want also to check the DrawnUI Task which addresses a similar classification problem, but in a different use case scenario. For more information see: https://www.imageclef.org/2020/drawnui 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From pmasulli at e-nns.org Wed Apr 1 09:59:55 2020 From: pmasulli at e-nns.org (Paolo Masulli ENNS) Date: Wed, 1 Apr 2020 15:59:55 +0200 Subject: Connectionists: 29th International Conference on Artificial Neural Networks ICANN 2020 - extended deadline Message-ID: 29th International Conference on Artificial Neural Networks ICANN 2020 https://e-nns.org/icann2020 *Bratislava, Slovakia** **15 - 18 September 2020* ============================================================ *2nd Call For Papers, Submission Deadline Extended: 30 April* * * Dear colleagues, As ICANN organizing committee and ENNS, the safety and health of all our participants is a top priority. We are monitoring closely the situation caused by the COVID-19 pandemic. *We will carefully evaluate the situation in the few next weeks and will work on solutions; we are aware of the current situation and remain flexible*. No one can predict what will happen in the next weeks or months exactly, but we we will monitor closely and react accordingly and will communicate any backup plan options in due course on the website if and once necessary. *However, for now we hope and assume that ICANN will take place in September and that you will submit and attend it*. If you were planning to submit your contribution to ICANN 2020, we advise you to continue preparing your manuscript and submit it as planned on the conference website . We understand that the current situation is impacting the working conditions of many of us, and therefore we have decided to *extend the submission deadline to April 30*, *2020*. We will keep you informed and announce any relevant changes on the conference website. In the meanwhile, we wish you and your dear ones to stay healthy and safe in this difficult time. Best regards, The ICANN 2020 Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From kc.w at cityu.edu.hk Thu Apr 2 00:01:07 2020 From: kc.w at cityu.edu.hk (Dr. Ka Chun WONG) Date: Thu, 2 Apr 2020 04:01:07 +0000 Subject: Connectionists: CFP for ICONIP 2020 Message-ID: Dear Connectionists, Thank you for your attention. I was wondering if the CFP for ICONIP 2020 could be posted for your mailing list as below: ----------------------------------------------------------------------------------- ICONIP'20 Full Call # Content The 27th International Conference on Neural Information Processing (ICONIP2020) aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progresses and achievements. ICONIP2020 will be held in Bangkok, Thailand, during November 18 - November 22, 2020 and will be collocated with several events, including ACML, iSAI-NLP, JIST-KG, and AIoT. # Topics ICONIP2020 will deliver keynote speeches, invited talks, full paper presentations, posters, tutorials, workshops, social events, etc. Topics include but are not limited to: A. Theory and Algorithms A1. Causality and explainable AI A2. Computational intelligence A3. Control and decision theory A4. Constraint and uncertainty theory A5. Machine learning A6. Neurodynamics A7. Neural network models A8. Optimization A9. Pattern recognition A10. Time series analysis B. Computational and Cognitive Neurosciences B1. Affective and cognitive learning B2. Biometric systems/interfaces B3. Brain-machine interface B4. Computational psychiatry B5. Decision making and control B6. Neuroeconomics B7. Neural data analysis B8. Reasoning and consciousness B9. Sensory perception B10. Social cognition C. Human Centered Computing C1. Bioinformatics C2. Biomedical information C3. Healthcare C4. Human activity recognition C5. Human-centred design C6. Human?computer interaction C7. Neuromorphic hardware C8. Recommender systems C9. Social networks C10. Sports and rehabilitation D. Applications D1. Big data analysis D2. Computational finance D3. Image processing and computer vision D4. Data mining D5. Information security D6. Information retrieval D7. Multimedia information processing D8. Natural language processing D9. Robotics and control D10. Web search and mining # Important Dates ## Conference Track * Paper Submission Deadline: May 1, 2020 * Paper Notification Date: August 15, 2020 * Paper Camera-Ready Deadline: September 15, 2020 ## Tutorials * Tutorial Proposal Deadline: May 1, 2020 * Tutorial Proposal Notification Date: May 8, 2020 * Tutorial Material/Website Deadline: September 15, 2020 * Tutorials Date: Nov. 18, 2020 ## Workshops/Special Sessions * Workshops/Special Sessions Proposal Deadline: May 1, 2020 * Workshops/Special Sessions Proposal Notification Date: May 8, 2020 * Workshops/Special Sessions Material/Website Deadline: September 15, 2020 * Workshops/Special Sessions Date: Nov. 18, 2020 # Paper Information Papers should be written in English and follow the Springer LNCS format. Paper submissions are single-blind review, so author names can be shown in the submission. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The Proceedings will be published in the Springer?s series of Lecture Notes in Computer Science. Selected papers will be reviewed and published in some special issues of SCI journals. Final papers after acceptance will normally be 10 pages with a maximum of 12 pages in length. The page count includes everything, including references and appendices. Please follow Springer?s proceedings LaTeX templates provided in Overleaf (https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer-science/kzwwpvhwnvfj#.WuA4JS5uZpi). # Submission site * https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2Ficonip2020 # Conference site * http://iconip2020.apnns.org/ # Organizing Committee * Honorary Co-Chairs * Jonathan Chan, King Mongkut?s University of Technology Thonburi, Thailand * Irwin King, The Chinese University of Hong Kong, Hong Kong * General Co-Chairs * Andrew Leung, City University of Hong Kong, Hong Kong * James Kwok, The Hong Kong University of Science and Technology, Hong Kong * Program Co-Chairs * Haiqin Yang, Ping An Life, China * Kitsuchart Pasupa, King Mongkut's Institute of Technology Ladkrabang, Thailand * Local Arrangements Co-Chairs * Vithida Chongsuphajaisiddhi, King Mongkut University of Technology Thonburi, Thailand * Finance Co-Chairs * Vajirasak Vanijja, King Mongkut's University of Technology Thonburi, Thailand * Seiichi Ozawa, Kobe University, Japan * Special Sessions Co-Chairs * Kaizhu Huang, Xi'an Jiaotong Liverpool University, China * Raymond Chi-Wing Wong, The Hong Kong University of Science and Technology, Hong Kong * Tutorial Co-Chairs * Zenglin Xu, Harbin Institute of Technology, Shenzhen, China * Jing Li, The Hong Kong Polytech University, Hong Kong * Proceedings Co-Chairs * Xinyi Le, Shanghai Jiao Tong University, China * Jinchang Ren, University of Strathclyde, United Kingdom * Publicity Co-Chairs * Zeng-Guang Hou, Institute of Automation, Chinese Academy of Sciences, China * Ka-Chun Wong, City University of Hong Kong, Hong Kong ----------------------------------------------------------------------------------- Thanks for attention. Kind Regards, Ka-Chun ---------------------------------------------- Ka-Chun Wong BEng, MPhil (CUHK), PhD (Toronto) Assistant Professor Computer Science City University of Hong Kong Office: B6424 (YEUNG) Phone: (852)34428618 Email: kc.w at cityu.edu.hk Web: http://www6.cityu.edu.hk/stfprofile/kc.w.htm Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dkatsar at inf.uth.gr Thu Apr 2 03:53:38 2020 From: dkatsar at inf.uth.gr (KATSAROS Dimitrios) Date: Thu, 2 Apr 2020 10:53:38 +0300 Subject: Connectionists: Assistant/Associate professor in 'Data Sciences and Applications', University of Thessaly, Greece Message-ID: <5E859A02.4070504@inf.uth.gr> Assistant / Associate Professor in 'Data Sciences and Applications' Department of Electrical and Computer Engineering, University of Thessaly, Greece ****Description The Department of Electrical and Computer Engineering at University of Thessaly is planning for new faculty positions that will add to core strengths, explore new and emerging areas of the field, and leverage opportunities across disciplinary boundaries. Towards this goal, the department invites applications for faculty positions at the levels of Assistant (tenure-track) / Associate professor (tenured) in the area of: 'Data Sciences and Applications' We take a broad and multi-faceted view of Data Science. All areas of expertise related to Data Science and its applications will be considered. We are looking for Greek-speaking individuals who have a strong track record of research excellence, a passion to shape the future of the field, and the potential to become an outstanding leader in research and education. The new faculty will have opportunities to design courses that align with their research interests. More information about the department may be found at https://www.e-ce.uth.gr ****Application Instructions Applications should be submitted electronically to the APELLA system (registration required): https://service-apella.grnet.gr/apella/ui/auth/login The codes of the positions are the following: APP15232 (Associate professor) APP15233 (Assistant professor) A detailed description of the documents comprising the application can be found in Apella, as well as in the Official Government Gazette (page 7) http://www.et.gr/idocs-nph/search/pdfViewerForm.html?args=5C7QrtC22wHUdWr4xouZundtvSoClrL8rto445gM5LZ5MXD0LzQTLaM8BZk1sbae8knBzLCmTXKaO6fpVZ6Lx3UnKl3nP8NxdnJ5r9cmWyJWelDvWS_18kAEhATUkJb0x1LIdQ163nV9K--td6SIuVbgvOnBCSj_cOikVe50PW4FUBGFvhGI2wGB5lk0msaY Candidates should be native greek speakers or possess the 'Certificate of Attainment in Greek', level C1. Application deadline: Wednesday May 27, 2020 at 11:59pm (EEST Time) Dimitrios Katsaros Associate professor, Dept. Electrical & Computer Engineering, UTh, Greece From j.v.stone at sheffield.ac.uk Thu Apr 2 06:54:31 2020 From: j.v.stone at sheffield.ac.uk (James V Stone) Date: Thu, 2 Apr 2020 11:54:31 +0100 Subject: Connectionists: New book: A Brief Guide to Artificial Intelligence Message-ID: New book (April 2020): A Brief Guide to Artificial Intelligence by James V Stone. https://jim-stone.staff.shef.ac.uk/AIGuide ?I'm often asked to recommend a short introduction to artificial intelligence; this book will do the job perfectly." Neil Lawrence, DeepMind Professor of Machine Learning, University of Cambridge, and Senior AI Fellow at the Turing Institute. "An excellent short primer to quickly get the uninitiated grounded in the field of artificial intelligence." Professor Eric Topol, MD, Executive Vice-President, Scripps Research, USA. "An essential and timely summary of modern AI." James Marshall, Professor of Computational Biology, University of Sheffield, and Co-Founder of Opteran Technologies. -- James V Stone Honorary Associate Professor, Sheffield University, UK. Web: sebtelpress.com Twitter: @jgvfwstone From huiyu_kang at fudan.edu.cn Thu Apr 2 21:18:11 2020 From: huiyu_kang at fudan.edu.cn (=?utf-8?Q?huiyu=5Fkang?=) Date: Fri, 3 Apr 2020 09:18:11 +0800 Subject: Connectionists: =?utf-8?q?Post-doc_Positions_=7C_Neural_and_Intel?= =?utf-8?q?ligence_Engineering_Center=2C_Institute_of_Science_and_Technolo?= =?utf-8?q?gy_for_Brain-inspired_Intelligence=2C_Fudan_University=2C_Shang?= =?utf-8?q?hai=2C_China?= Message-ID: An HTML attachment was scrubbed... URL: From bernabe.cfp at gmail.com Thu Apr 2 12:23:37 2020 From: bernabe.cfp at gmail.com (Bernabe Dorronsoro) Date: Thu, 2 Apr 2020 18:23:37 +0200 Subject: Connectionists: AppSci (IF 2.217) Special Issue on Optimization, Processing, and Visualization of Data for Sustainability Message-ID: <9E98BE4B-2F83-4324-8020-2EE9F5742624@gmail.com> --------------------------------------------------------------------------------------------------------------------------------- Applied Sciences journal (IF: 2.217) https://www.journals.elsevier.com/journal-of-parallel-and-distributed-computing/call-for-papers Special Issue on Optimization, Processing, and Visualization of Data for Sustainability --------------------------------------------------------------------------------------------------------------------------------- FULL PAPER SUBMISSION DEADLINE: May 31st, 2020 At present, data have immense value in the digital world. All computer-based systems gather any kind of data, and companies make use of them to get a huge value out of them, in many different senses. The amount of stored data is continuously growing, and there is a need for efficient techniques to allow getting the most out of it. We focus in this Special Issue on recent advances on data-based optimization, knowledge extraction, and visualization techniques, focused on the enhancement of the sustainability of a system, product, process, etc. Interesting applications of sustainability enhancement can be found in applications belonging to fields such as logistics, mobility, industry, networks, (mobile) computing, or smart cities, among many others. This Special Issue aims at attracting outstanding research works proposing the application of tools based on novel techniques in fields such as: - Evolutionary algorithms; - Heuristics; - Exact approaches; - Single-/multiobjective optimization; - Parallel computing; - Machine learning; - Deep learning; - Big Data techniques; - Data analytics; - Visualization and computer graphics. The topics of interest for the applications are, among others: - Industry 4.0; - Logistics; - Dynamic/static networks; - Smart cities; - Intelligent transportation systems; - Smart Grid; - Scheduling; - Computing, from small portable devices to large datacenters. All high-quality submitted papers related to the listed topics will be considered for publication in this Special Issue, provided they are recommended for publication after the review process. All manuscript submissions and reviews will be handled by the MDPI submission system https://susy.mdpi.com/ . All papers should be prepared according to the MDPI Guide for Authors. Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. GUEST EDITORS - Patricia Ruiz, University of Cadiz, Spain patricia.ruiz at uca.es - Juan Carlos de la Torre, University of Cadiz, Spain juan.detorre at uca.es - Bernabe Dorronsoro, University of Cadiz, Spain bernabe.dorronsoro at uca.es -------------- next part -------------- An HTML attachment was scrubbed... URL: From midas at iiitd.ac.in Fri Apr 3 00:47:17 2020 From: midas at iiitd.ac.in (MIDAS Lab IIIT Delhi) Date: Fri, 3 Apr 2020 10:17:17 +0530 Subject: Connectionists: IEEE BigMM 2020, New Delhi, India: Call for Industry Papers (Submission Deadline: 15 April) Message-ID: Dear Colleagues ************************************************************************* Paper Submission Deadline: 15 April 2020 PST ************************************************************************* Consider submitting your industry papers to the IEEE BigMM 2020. This track is specifically designed for our industry partners to present different problems that they are solving leveraging Multimedia Big Data to the research community. *Works that are done in collaboration between industry and academia are also eligible for this track. Similar to last year, we plan to give the best industry paper in this category.* Kindly share the CFP with other colleagues in your company who may wish to submit papers to IEEE BigMM 2020, which will be held at Jawaharlal Nehru University (JNU), New Delhi, in collaboration with Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi). In the first round of paper submission at 6th IEEE BigMM 2020, the acceptance rate was 23%. All regular papers were fairly selected by the strict review process that guaranteed each paper received at least three review reports (average: 3.46 reviews; maximum: 4 reviews). Conflict of interest was also carefully taken into account while assigning the papers for reviews. Thus, we are committed to carefully and fairly reviewing all submitted papers and providing high-quality reviews to authors. We are also excited to inform you that Prof Ramesh Jain from the University of California, Irvine, USA will deliver a keynote at IEEE BigMM 2020 ( http://bigmm2020.org/) in New Delhi, India. Prof Jain does not need any introduction. He is commonly referred to as 'Father of Multimedia Computing'. We expect to have two more eminent researchers from academia and industry as keynote speakers. ------------------------------------------------------------------------ Please accept our apologies if you receive multiple copies of the CFP. ------------------------------------------------------------------------ CALL FOR PAPERS Webpage: http://bigmm2020.org/index.php/calls-for-submission/call-for-papers Submission Instruction: http://bigmm2020.org/index.php/authors/submission-instructions Submission Link: https://easychair.org/conferences/?conf=bigmm2020 The Sixth IEEE International Conference on Multimedia Big Data (BigMM 2020) September 24-26, 2020 Jawaharlal Nehru University New Delhi, India http://bigmm2020.org/ Multimedia is increasingly becoming the ?biggest big data?. It is the most important and valuable source for insights and information as it covers everyone?s experiences and is about everything that is happening in the world. As such, multimedia big data is spurring on a tremendous amount of research and development of related technologies and applications. The IEEE International Conference on Multimedia Big Data (BigMM), jointly sponsored by the IEEE-TCMC (Technical Committee on Multimedia Computing) and IEEE-TCSEM (Technical Committee on Semantic Computing), is a world?s premier forum of leading scholars in the highly active multimedia big data research, development and applications. The sixth BigMM conference is jointly hosted by the Jawaharlal Nehru University (JNU) and Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), will be held in JNU, New Delhi from September 24 to 26 in 2020. The conference aims to bring together researchers from different areas and solicits high-quality original research papers relevant in any aspect of multimedia big data but not limited to the following broad themes: Multimedia and User Engagement - Social media mining; affective computing - Multimedia search; ranking; summarization - Multimedia recommendation systems - Security and privacy Multimedia Experience - Human-computer interactions, visualization, and navigation - Digital humanities; arts; storytelling - Multimedia applications; multimodal interactions and interfaces Multimedia and Big Data Content Understanding - Multimodal integration and alignment - Vision and language; audio/visual processing - Large scale multimodal content (image/audio/video) understanding and processing Multimedia Systems - Large scale multimedia systems and middleware - Transport and delivery - Large scale multimedia systems and middleware - Green computing; resource-efficient multimedia and big data computing SUBMISSIONS (Paper Length) - Full Papers: 8 pages - Short Papers: 4 pages - Industry Papers: 8 pages - Student Consortium Papers: 4 pages - Demonstration Papers: 4 pages - Multimedia Grand Challenge Papers: 4 pages - Workshops Papers: 8 pages Note: The above-mentioned page limits are a maximum number of pages in a 2-column IEEE format excluding references. The authors will be given a maximum of 2 additional pages for references. IEEE BigMM 2020 will showcase high quality oral and poster presentations for regular and workshop papers as well as technical demo and grand challenge solution sessions. The review will be done by at least three reviewers. Best papers, posters, technical demos, and multimedia grand challenge solutions will be awarded at the conference. All papers in this conference will be included in the IEEExplore and indexed by EI. IMPORTANT DATES - Round-2 Regular/Industry/Short Paper Submission: April 15, 2020 - Round-2 Regular/Industry/Short Paper Notification: May 31, 2020 - Demonstration/Student Consortium Paper Submission: April 30, 2020 - Demonstration/Student Consortium Paper Notification: May 31, 2020 - Workshop/Grand Challenge Paper Submission: May 15, 2020 - Workshop/Grand Challenge Paper Notification: June 15, 2020 - Camera-ready: June 20, 2020 - Registration Deadline: July 1, 2020 - Conference: September 24-26, 2020 You may check more details at http://bigmm2020.org, https://twitter.com/ieeebigmm, and https://www.facebook.com/ieeebigmm. Sincerely, -- General Co-Chairs of IEEE BigMM 2020: Mohan Kankanhalli, National University of Singapore, Singapore PC Co-Chairs of IEEE BigMM 2020: Rajiv Ratn Shah (rajivratn at iiitd.ac.in), IIIT-Delhi, India Vishy Swaminathan (vishy at adobe.com), Adobe, USA Yi Yu (yiyu at nii.ac.jp), NII, Japan -- Best regards MIDAS - Multimodal Digital Media Analysis Lab *"Where Research for Society is a Pleasure." * A-415, Level 4, New Academic Building, IIIT-Delhi, Okhla Industrial Estate Phase 3, Near Govindpuri Metro Station, Delhi - 110020. Phone: +91-11-26907495 Website: http://midas.iiitd.edu.in Twitter: https://twitter.com/midasiiitd Facebook: https://facebook.com/midasiiitd LinkedIn: https://linkedin.com/company/midasiiitd -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernabe.cfp at gmail.com Thu Apr 2 12:23:11 2020 From: bernabe.cfp at gmail.com (Bernabe Dorronsoro) Date: Thu, 2 Apr 2020 18:23:11 +0200 Subject: Connectionists: Algorithms Special Issue on Optimization, Processing, and Visualization of Data for Sustainability Message-ID: <30A2893C-6096-4C59-9F7F-F8AB81D1F442@gmail.com> --------------------------------------------------------------------------------------------------------------------------------- Algorithms journal (Scopus citescore 1.46) https://www.mdpi.com/journal/algorithms/special_issues/Optimization_Algorithms Special Issue on Optimization Algorithms and Applications --------------------------------------------------------------------------------------------------------------------------------- FULL PAPER SUBMISSION DEADLINE: May 15th, 2020 Optimization problems are all around us. Finding the optimal solutions to such problems may lead to the development of cheaper products, faster and more efficient production, and more sustainable solutions. However, solving a problem to optimality is generally difficult as well as time and resource consuming, and, in many cases, may be impractical with current software and hardware technologies. For such cases, approximation optimization algorithms are interesting tools that offer good solutions in a reasonable time frame. This Special Issue aims to present a collection of recent high quality papers on optimization algorithms and their applications to problems in the real world, particularly on topics covered in the OLA2020 International Conference on Optimization and Learning. Extended versions of the best papers presented at the conference will be invited for submission to this issue and will go through a rigorous review process. However, the Special Issue is not restricted to those papers and is open to any research work matching the considered topics. The best received works will be published with fully waived article processing charges. All manuscript submissions and reviews will be handled by the MDPI submission system https://susy.mdpi.com/ . All papers should be prepared according to the MDPI Guide for Authors. Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. GUEST EDITORS - Bernabe Dorronsoro, University of Cadiz, Spain bernabe.dorronsoro at uca.es - Juan Carlos de la Torre, University of Cadiz, Spain juan.detorre at uca.es - Pascal Bouvry, University of Luxembourg, Luxembourg Pascal.bouvry at uni.lu - Patricia Ruiz, University of Cadiz, Spain patricia.ruiz at uca.es - El-Ghazali Talbi, University of Lille, France el-ghazali.talbi at univ-lille.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From durda at ubu.es Fri Apr 3 04:57:36 2020 From: durda at ubu.es (=?utf-8?Q?Daniel_Urda_Mu=C3=B1oz?=) Date: Fri, 3 Apr 2020 10:57:36 +0200 Subject: Connectionists: CFP: Special issue on Intelligent solutions for efficient logistics and sustainable transportation (Applied Soft Computing) Message-ID: <42E9BC16-FBAE-406C-9CEB-9857131B6EA0@ubu.es> *** Apologies for cross-posting. Please forward to colleagues who might be interested *** Dear Colleague, We would like to cordially invite you to submit a paper for the Special issue ?Intelligent solutions for efficient logistics and sustainable transportation? (SI: Sustainable Transportation) in the prestigious Applied Soft Computing (ASOC) journal: https://www.journals.elsevier.com/applied-soft-computing/call-for-papers/intelligent-solutions-for-efficient-logistics-and-sustainabl Applied Soft Computing ISSN: 1568-4946 Imprint: ELSEVIER Impact Factor: 4.873 Q1 Description: Over one-quarter of the global CO2 emissions are due to the transport sector, and among all means of transport, the road accounts for 74%. Solutions for reducing the emissions are vital for reaching the global climate target, set by the COP 21 Paris Agreement. However, road transportation is the backbone for most of the countries? economy, and changes might influence on many other related sectors. It will require a lot of public effort in terms of establishing policies and providing financial assistance, passengers? effort in terms of changing their mobility habits, and industry effort in terms of a complete update in their logistic process. Therefore, special attention is required for providing an integrated solution that leads to a sustainable and efficient road transport system whose ultimate goal is to improve passenger and trade mobility, strengthen cohesion and economy, and increase competitiveness while mitigating environmental, social and economic impacts. In this sense, any of these scenarios need to address difficult challenges which may potentially require the use of intelligent solutions and optimization strategies to achieve the expected goals. The purpose of this special issue is to collect the main recent trends targeting the design of novel innovative solutions based on cutting-edge artificial intelligence tools, optimization strategies and relevant high-impact applications in sustainable road transportation and efficient logistics. High-quality research works covering these areas are welcome including but not limited to: - Improvement of logistic processes; - Innovative solutions to the growing mobility using ICT capabilities; - Intelligent traffic management; - Minimization of transport?s impact on climate and environment; - Low-emission freight transport systems and logistics; - Intelligent strategies for vehicle electrification; - Efficient multimodal transport network; - Intelligent zero-emissions strategies and spatial planning; - Driving behaviour exploration; - Resources management; - Process optimization; - Air pollution/Smart environment; - Big data, data science and visual analytics; - Green transportation; All submitted papers related to the listed topics will be considered for publication in this special issue, provided they are recommended for publication after the review process. All manuscripts submission and review will be handled by Elsevier System https://ees.elsevier.com/asoc/default.asp. All papers should be prepared according to ASOC Guide for Authors. Important dates: - Opens for submission: May 15th, 2020. - Deadline for paper submission: November 15th, 2020. - Notification of results: 2-3 months after submission. - Final acceptance: April 30th, 2021. Guest Editors Team: Dr Daniel Urda - University of Burgos (Spain), durda at ubu.es Dr Patricia Ruiz - University of Cadiz (Spain), patricia.ruiz at uca.es Prof El Ghazali Talbi - University of Lille (France), el-ghazali.talbi at univ-lille.fr Prof Pascal Bouvry - University of Luxembourg (Luxembourg), pascal.bouvry at uni.lu Dr Jamal Toutouh - Massachusetts Institute of Technology (USA), toutouh at mit.edu Best wishes, Daniel Urda ________________________________________________________ Dr Daniel Urda Mu?oz Escuela Polit?cnica Superior, Ed. A1 - Campus Vena Avenida de Cantabria s/n, 09006 - Burgos (Spain) UNIVERSIDAD DE BURGOS Tel?fono: (+34) 947 112456 E-mail: durda at ubu.es ________________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Phil.Garner at idiap.ch Fri Apr 3 08:35:14 2020 From: Phil.Garner at idiap.ch (Phil Garner) Date: Fri, 3 Apr 2020 14:35:14 +0200 Subject: Connectionists: PhD position in Low Level Mechanisms of Language Evolution Message-ID: Dear Colleagues, There is a fully funded PhD position open at Idiap Research Institute on Low Level Mechanisms of Language Evolution. Recently, Idiap has had some success in incorporating physiological processes into backpropagation-style neural architectures. This allows the processes to be trained in the context of the larger network whilst giving the network the capability to recognise and reproduce physiological functions in a natural manner. In this project, we will apply this technique to the human cochlea and its interface with low level neural mechanisms. We are particularly interested in the efferent pathway from the low level neurological system back to the cochlea. This will allow us to investigate the resulting non-linear feedback relationship. For more information, and to apply, please follow this link: http://www.idiap.ch/education-and-jobs/job-10284 Idiap is located in Martigny in French speaking Switzerland, but functions in English and hosts many nationalities. PhD students are registered at EPFL. All positions offer quite generous salaries. Martigny has a distillery and a micro-brewery 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 antolikjan at gmail.com Fri Apr 3 09:11:05 2020 From: antolikjan at gmail.com (Jan Antolik) Date: Fri, 3 Apr 2020 15:11:05 +0200 Subject: Connectionists: 2 PhD positions in vision restoration in the European Training Network project ENTRAIN-VISION in Prague Message-ID: 2 PhD positions are available in the European Training Network project ENTRAIN-VISION in Prague, within the Marie Sklodowska-Curie ETN - Early Stage Researcher (PhD) program. *Deadline for applications: 13th April* Blindness is the most feared handicap leading to the greatest exclusion from society by reducing patient autonomy and mobility. Clinical trials have demonstrated the possibility to regain some useful vision with retinal prostheses in patients having lost photoreceptors. New approaches are entering into clinical trials such as photovoltaic implants, optogenetic therapy and even cortical prostheses for patients having lost eye to brain connection. In the ENTRAIN-VISION project, the Early Stage Researchers (ESRs) will work on these innovative technologies for restoring vision in blind patients. Their training in academic institutes or industry will be completed by several secondments, including at least one at an industry partner. In addition, several summer schools will address scientific subjects on vision restoration and transferable skills in technology transfer, clinical trials, start-up creation, and communication to the media. At the Computational Systems Neuroscience Group (CSNG ) at Charles University in Prague, we will address the problem of how to encode visual stimulus, such that the stimulation of the targeted visual processing stage (retina, thalamus or cortex) leads to perception of the given stimulus by the implanted subject. We will address this question via computational means, relying on both large-scale recurrent spiking neural network models of early visual system , as well as novel deep neural network machine learning techniques. This way, we will inform the future design of the visual prosthetic devices and contribute to the information processing software that will run on the implanted hardware. What we offer: - Obtain a PhD from Charles University in Prague. - Internships at technological innovators Innovatric and GoodAI , and 3 month secondment at another ENTRAIN-VISION partner (see the full list here ). - Work in close collaboration with the leading vision restoration lab of Dr. Serge Picaud at the Institute de la Vision , Paris. - A full-time 3-year paid contract, starting September 2020. Main tasks and responsibilities: - Building and testing large-scale recurrent spiking neural network models of early visual system. - Extending these simulations with model of the prosthetic system, and calibrating the resulting simulation stack against physiological data provided by the project partners. - Developing encoding schemes for visual stimuli that will provide both accurate and efficient stimulation of the neural visual substrate. - Evaluating candidate encoding schemes in the simulation environment. - Finding efficient implementations of the selected encoding schemes in the low-powered prosthetic hardware. Skills and qualifications: - Bachelor (BSc) or Master (MSc) in Physics/Mathematics/Engineer/Neuroscience/Computer Science or related fields - Programming skills: Python. - Willing to learn new skills and work in teams - High level of English proficiency - Prior experience in neural modelling a plus For further information on all project partners, *how to apply* and *deadlines* please follow instructions here: ENTRAIN-VISION . J?n Antol?k , PhD -- Associate Researcher Computational Systems Neuroscience Group Faculty of Mathematics and Physics Charles University in Prague, Czech Republic -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Fri Apr 3 11:28:41 2020 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Fri, 3 Apr 2020 15:28:41 +0000 Subject: Connectionists: PhD studentship on Human-Robot Collaboration for Flexible Manufacturing (collaboration with BAE Systems) Message-ID: A PhD studentship is available at the University of Manchester, as part of a collaboration with the industrial partner BAE Systems. Project Title: Human-Robot Collaboration for Flexible Manufacturing (iCase PhD Studentship) Academic Supervisor: Angelo Cangelosi, University of Manchester (Cognitive Robotics Lab, Department of Computer Science) Industrial Supervisor: Alex Griffiths, Austin Cook, BAE Systems PhD Project Overview: As manufacturers of high complexity, low volume products with considerable variation in build standards, one obstacle to our adoption of widespread robotics in the manufacturing process is the amount of programming required - it is currently difficult to see sufficient return on investment. The ability for the robot to understand what is required during collaboration with people to produce a solution autonomously and via imitation learning, would drastically reduce programming times, resulting in agile, reconfigurable manufacturing. Current robotics and AI research on human-robot interaction and collaboration between people and cobots (collaborative robots) has led to the design of machine learning models of intention recognition, e.g. for the prediction of the goal of a cooperative task and for action learning via kinaesthetic imitation and linguistic instruction. These models have been developed for simplified joint task scenarios, in laboratory settings. The latest advances in AI (e.g. deep learning) offer a timely opportunity to scale up intentional reading models for collaboration in realistic, industry setting scenarios. This will lead to the system understanding of its environment and the components with which it is required to interact, using a combination of visual and action recognition AI methods and interrogation of CAD models/digital twin. Application requirements and Deadline Undergraduate degree (First or equivalent grade) or Master degree in computer Science / Artificial intelligence of related disciplines Studentship includes standard UK PhD bursary and UK/EU fee payment. Application deadline: 27 April 2020 https://www.cs.manchester.ac.uk/study/postgraduate-research/research-projects/description/?projectid=25920 Informal enquiry to: Professor Angelo Cangelosi angelo.cangelosi at manchester.ac.uk Angelo Cangelosi Cognitive Robotics Lab Department of Computer Science University of Manchester angelo.cangelosi at manchester.ac.uk https://www.research.manchester.ac.uk/portal/angelo.cangelosi.html ? I do not expect any response out of core hours. Please respond when it suits you during your normal working day. -------------- next part -------------- An HTML attachment was scrubbed... URL: From edoardomaria.ponti at gmail.com Fri Apr 3 11:51:00 2020 From: edoardomaria.ponti at gmail.com (Edoardo Maria Ponti) Date: Fri, 3 Apr 2020 16:51:00 +0100 Subject: Connectionists: Call for Participation: SIGTYP 2020 Shared Task on the prediction of typological features Message-ID: https://sigtyp.github.io/st2020.html The SIGTYP workshop, co-located with the EMNLP 2020 conference in Punta Cana (Dominican Republic), is offering a shared task on the prediction of typological features. The shared task encompasses nearly 2,000 languages, with typological features taken from the World Atlas of Language Structures (WALS; Dryer and Haspelmath 2013). To participate in the shared task, you will build a system that can predict typological properties of languages, given a handful of observed features. Training examples and development examples have already been provided (see link below). All submitted systems will be compared on a held-out test set. Moreover, you will be invited to describe your system in a system paper for the SIGTYP workshop proceedings. The task organisers will write an overview paper that describes the task and summarises the different approaches taken, and their results. *Important Links* - Download Train and Dev data: https://github.com/sigtyp/ST2020/tree/master/data - Register for the Task! https://sigtyp.github.io/st2020-reg.html *Important Dates* - Training data Release: 26 March 2020 - Test data Release: 20 June 2020 - Submissions Due: 1 July 2020 - Writeup Due: 1 August 2020 *Description* The typological features in WALS represent one approach to the categorization of the languages of the world according to their linguistic properties, e.g. in terms of their syntax, morphology, phonology inter alia. One example of such a typological feature is the basic word order feature. For instance, English is best described as a subject-verb-object (SVO) language whereas Japanese is best described as a subject-object-verb (SOV) language. One major issue with WALS, however, is that it is both sparse and skewed in terms of language-feature annotations. It is sparse in the sense that most languages only have annotations for a handful of features, and skewed in the sense that a few features have much wider coverage than others. Luckily, such features often correlate with one another, which allows for prediction of those features from others. For instance, languages where the verb precedes the object tend to have prepositions, e.g. Norwegian, whereas languages where the object precedes the verb word tend to have postpositions, e.g. Japanese. Although there is a significant amount of previous work dealing with versions of this task (*Daum? III and Campbell 2017; Bjerva et al. 2019; Ponti et al. 2019*), important design choices have been frequently ignored. Some papers controlled for genetic relationships between training and evaluation languages, but little-to-no work has considered controlling for geographical proximity. The shared task will consist of two settings (subtasks): 1. *Constrained*: only provided training data can be employed. 2. *Unconstrained*: training data can be extended with any external source of information (e.g. pre-trained embeddings, raw texts, etc.) *Organizers* Johannes Bjerva Isabelle Augenstein Aditi Chaudhary Ekaterina Vylomova Edoardo M. Ponti Giuseppe Celano Liz Salesky Ryan Cotterell Michael Regan Sabrina J. Mielke *Contact* - email: sigtyp AT gmail DOT com - website: https://sigtyp.github.io/st2020.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.abbass at unsw.edu.au Sat Apr 4 09:55:56 2020 From: h.abbass at unsw.edu.au (Hussein Abbass) Date: Sat, 4 Apr 2020 13:55:56 +0000 Subject: Connectionists: =?windows-1252?q?IEEE_Transactions_on_Artificial_?= =?windows-1252?q?Intelligence_=96_A_new_journal?= Message-ID: Webpage: https://cis.ieee.org/publications/ieee-transactions-on-artificial-intelligence/ Submission: https://mc.manuscriptcentral.com/tai-ieee Scope The IEEE Transactions on Artificial Intelligence (TAI) is a multidisciplinary journal publishing papers on theories and methodologies of Artificial Intelligence. Applications of Artificial Intelligence are also considered. Topics covered by IEEE TAI include, but not limited to, Agent-based Systems, Augmented Intelligence, Autonomic Computing, Constraint Systems, Explainable AI, Knowledge-Based Systems, Learning Theories, Planning, Reasoning, Search, Natural Language Processing, and Applications. Technical papers addressing contemporary topics in AI such as Ethics and Social Implications are welcomed. Invitation The journal invites impactful Artificial Intelligence research, survey articles, and applications. Submit your manuscript at the IEEE TAI Manuscript Central website at https://mc.manuscriptcentral.com/tai-ieee. Potential authors should consult the Information to Authors Document at https://cis.ieee.org/publications/ieee-transactions-on-artificial-intelligence/information-for-authors-tai. Further questions can be directed to the Founding Editor-in-Chief at ieee.tai.eic at gmail.com Founding Editor-in-Chief Hussein Abbass, University of New South Wales, Canberra, Australia Associate Editors ? Amal El Fallah Seghrouchni, Sorbonne University, France ? Catherine Huang, McAfee, USA ? Christian Wagner, University of Nottingham, UK ? Dongbin Zhao, University of Chinese Academy of Sciences, China ? Fiora Pirri, University of Rome, Italy ? Gary Yen, Oklahoma State University, USA ? Guilherme DeSouza, University of Missouri, USA ? Haibo He, University of Rhode Island, USA ? Hao Luo, Harbin Institute of Technology, China ? Johan Suykens, Katholieke Universiteit Leuven, Belgium ? Kay Chen Tan, City University of Hong Kong, Hong Kong ? Lirong Xia, Rensselaer Polytechnic Institute , USA ? Matthew Garratt, University of New South Wales, Australia ? Michael Wooldridge, University of Oxford, UK ? Pau-Choo Chung, National Cheng Kung University, Taiwan ? Peter Stuckey, Monash University, Australia ? Ran Cheng, Southern University of Science and Technology, China ? Sanaz Mostaghim, Otto von Guericke University Magdeburg, Germany ? Simon Yang, University of Guelph, Canada ? Supratik Mukhopadhyay, Louisiana State University, USA ? Weizhong Yan, General Electric Global Research Center, USA ? Yo-Ping Huang, National Taipei University of Technology, Taiwan ? Pablo Estevez , University of Chile, Chile ? Pascal Van Hentenryck, Georgia Tech, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Sun Apr 5 10:06:30 2020 From: gangluo at cs.wisc.edu (GANG LUO) Date: Sun, 5 Apr 2020 14:06:30 +0000 Subject: Connectionists: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2020) In-Reply-To: References: Message-ID: -- Call for Papers -- The Sixth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2020) In Conjunction with VLDB 2020 Tokyo, Japan September 04, 2020 https://sites.google.com/site/vldbdmah2020/ Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic- data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field. This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. Topics of interest include, but not limited to: Big data management for medical data; Blockchain for healthcare; Biomedical data integration; Biomedical knowledge management and decision support; Semantics and interoperability for healthcare data; Clinical natural language processing and text mining; Predictive modeling for diagnosis and treatment; Visual analytics for medical data; Medical image analytics; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health (public health 2.0); Data analytics for pervasive computing for medical care. DMAH 2020 accept two types of papers: 1) Regular research papers reporting original research results or significant case studies (18 pages). 2) Extended abstracts presenting novel research directions or challenging problems (4 pages). Important Dates: Abstract (optional): May 29, 2020 Individual Workshop Papers: June 5, 2020 Notification of Acceptance: July 3, 2020 Camera Ready: July 10, 2020 Workshop date: September 04, 2020 All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer LNCS. Workshop Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Alevtina Dubovitskaya, Lucerne University of Applied Sciences and Arts and Swisscom, Switzerland Jun Kong, Georgia State University, USA Program Committee Edmon Begoli, Oak Ridge National Laboratory, USA Yang Cao, Kyoto University, Japan Blair Christian, Oak Ridge National Laboratory, USA Dejing Dou, University of Oregon, USA Alevtina Dubovitskaya, Lucerne University of Applied Sciences and Arts and Swisscom, Switzerland Peter Elkin, University at Buffalo, USA Zhe He, Florida State University, USA Vagelis Hristidis, University of California-Riverside, USA Athirai Irissappane, University of Washington, USA Guoqian Jiang, Mayo Clinic College of Medicine, USA Jun Kong, Georgia State University, USA Tahsin Kurc, Stony Brook University, USA Yanhui Liang, Google Inc., USA Gang Luo, University of Washington, USA Ye Ye, University of Pittsburgh, USA Rui Zhang, University of Minnesota, USA From bwyble at gmail.com Mon Apr 6 00:27:00 2020 From: bwyble at gmail.com (Brad Wyble) Date: Mon, 6 Apr 2020 00:27:00 -0400 Subject: Connectionists: Career Neuromatch for students, postdocs and PIs Message-ID: Are you a neuro/ psych/ data student or postdoc who needs a remote position in summer/fall 2020? Visa depends on it? Reluctant to ask? Let us try to help. NeuromatchCareers will explore potential matches that match your interests and skill set. https://docs.google.com/forms/d/e/1FAIpQLSdaTPpim1JClJgUhDulb3n4WetCsN1VU4aq4FdT0KvNvVc4NA/viewform Are you a PI with money to spend, either for fulltime, part time, or remote work in postdoc or RA positions? Then fill out this form to be entered into our database. We will do our best to pair you with candidates that match your needs. https://docs.google.com/forms/d/e/1FAIpQLSfrrwiXYaCsIZOkm1iDVcl8givFGjlZqaAT2zSg6YLNsIakCg/viewform?vc=0&c=0&w=1 Please respond to either of these by midnight (PDT, US) Wednesday April, 15. This experimental matchmaking service is being provided as a free service to the community by Ida Momennejad, myself and with some backup support from Konrad Kording. -- Brad Wyble Associate Professor Psychology Department Penn State University http://wyblelab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From colab at jamesonrobotics.com Sun Apr 5 16:21:31 2020 From: colab at jamesonrobotics.com (john jameson) Date: Sun, 5 Apr 2020 13:21:31 -0700 Subject: Connectionists: Calling: Independent Machine Learning Researchers Message-ID: <1CF25F60-D1B8-45C3-88A4-DF72E80C7449@jamesonrobotics.com> CALLING INDEPENDENT RESEARCHERS Are you passionate about your ideas for machine learning but feel quite frustrated by the long hours of programming, reading papers, working out extant theory, developing new theory, developing and running new experiments, etc. Faced with competition from large research teams from Google and the like, it feels like the "independent machine learning researcher" may be near extinction. This is essentially a personal ad for meeting others like myself who might like to collaborate with me in some fashion. The latter might range from just having Zoom conversations about the latest research to producing a paper or filing a patent. Since folks like us probably do not read this list as much as more ensconced researchers, if you know an independent machine learning/connectionist researcher please forward this notice to him or her. About myself: My current interest is in developing a technique for reliable, and thus potentially scalable, reinforcement learning that I have been developing for several years. My original motivation was similar to that behind the development of TRPO and its successors a few years ago, although my approach has stronger ties with hierarchical/heterarchical RL. It also has some connections with a few recent leading publications, but also some interesting differences. I am also interested in relational RL, as well as object/scene interpretation with capsules and the like. My background: I have worked for many years in recognition systems and reinforcement learning. I?m adept at comprehending theoretical concepts and mathematics, and can assist in interpreting technical papers, as well as code developed by others. My extensive background in control theory and robotics can come in handy when working with RL for these applications. I have a PhD from Stanford in engineering and can provide some relevant publications. If you are interested please send me a message along the lines of the ?about myself? and ?my background? paragraphs above. If I do not feel that we are a good match I might refer you to another researcher that has already contacted me. Thanks! John Jameson, El Cerrito CA colab at jamesonrobotics.com http://www.jamesonrobotics.com/index.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Mon Apr 6 08:10:41 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Mon, 6 Apr 2020 13:10:41 +0100 Subject: Connectionists: CFP: ECML/PKDD 2020 Workshop on IoT Streams for Data-Driven Predictive Maintenance Message-ID: <6dc794e6-6af0-e4af-c9a5-650a5ed3be91@isep.ipp.pt> *** Apologies for cross-posting *** Call for Papers 2nd ECML/PKDD 2020 Workshop on IoT Streams for Data-Driven Predictive Maintenance ECML-PKDD 2020, September 14 ?18, 2020, Ghent-Belgium https://abifet.wixsite.com/iotstream2020 ------------------------------------------------------- Motivation and focus Maintenance is a critical issue in the industrial context for preventing high costs and injuries. Various industries are moving more and more toward digitalization and collecting ?big data? to enable or improve the accuracy of their predictions. At the same time, the emerging technologies of Industry 4.0 empowered data production and exchange, which leads to new concepts and methodologies for the exploitation of large datasets in maintenance. The intensive research effort in data-driven Predictive Maintenance (PdM) is producing encouraging results. Therefore, the main objective of this workshop is to raise awareness of research trends and promote interdisciplinary discussion in this field. Data-driven predictive maintenance must deal with big streaming data and handle concept drift due to both changing external conditions, but also normal wear of the equipment. It requires combining multiple data sources, and the resulting datasets are often highly imbalanced. The knowledge about the systems is detailed, but in many scenarios, there is a large diversity in both model configurations, as well as their usage, additionally complicated by low data quality and high uncertainty in the labels. In particular, many recent advancements in supervised and unsupervised machine learning, representation learning, anomaly detection, visual analytics and similar areas can be showcased in this domain. Therefore, the overlap in research between machine learning and predictive maintenance continues to increase in recent years. This event is an opportunity to bridge researchers and engineers to discuss emerging topics and key trends. The previous edition of the workshop at ECML 2019 has been very popular, and we are planning to continue this success in 2020. ---------------------------------------------------------- Aim and scope This workshop welcomes research papers using Data Mining and Machine Learning (Artificial Intelligence in general) to address the challenges and answer questions related to the problem of predictive maintenance. For example, when to perform maintenance actions, how to estimate components current and future status, which data should be used, what decision support tools should be developed for prognostic, how to improve the estimation accuracy of remaining useful life, and similar. It solicits original work, already completed or in progress. Position papers will also be considered. The scope of the workshop covers, but is not limited to, the following: * Predictive and Prescriptive Maintenance * Fault Detection and Diagnosis (FDD) * Fault Isolation and Identification * Anomaly Detection (AD) * Estimation of Remaining Useful Life of Components, Machines, etc. * Forecasting of Product and Process Quality * Early Failure and Anomaly Detection and Analysis * Automatic Process Optimization * Self-healing and Self-correction * Incremental and evolving (data-driven and hybrid) models for FDD and AD * Self-adaptive time-series based models for prognostics and forecasting * Adaptive signal processing techniques for FDD and forecasting * Concept Drift issues in dynamic predictive maintenance systems * Active learning and Design of Experiment (DoE) in dynamic predictive maintenance * Industrial process monitoring and modelling * Maintenance scheduling and on-demand maintenance planning * Visual analytics and interactive Machine Learning * Analysis of usage patterns * Explainable AI for predictive maintenance * ? It covers real-world applications such as: * Manufacturing systems * Transport systems (including roads, railways, aerospace and more) * Energy and power systems and networks (wind turbines, solar plants and more) * Smart management of energy demand/response * Production Processes and Factories of the Future (FoF) * Power generation and distribution systems * Intrusion detection and cybersecurity * Internet of Things * Smart cities * ? ---------------------------------------------------------- Submission and Review process Regular and short papers presenting work completed or in progress are invited. Regular papers should not exceed 12 pages, while short papers are a maximum of 6 pages. Papers must be written in English and submitted in PDF format online via the Easychair submission interface https://easychair.org/conferences/?conf=iotstream2020. Each submission will be evaluated on the basis of relevance, the significance of contribution, quality of presentation and technical quality by at least two members of the program committee. All accepted papers will be included in the workshop proceedings and will be publically available on the conference web site. At least one author of each accepted paper is required to attend the workshop to present. ---------------------------------------------------------- Important dates Workshop paper submission deadline: 11th of June 2020 Workshop paper acceptance notification: 20th of July 2020 Workshop paper camera-ready deadline: 27th of July 2020 Workshop Day: 14th of September 2020 (alternatively, 18th of September) The exact schedule, including time slots, will be published on the official ECML website ---------------------------------------------------------- Program Committee members (to be confirmed) * Carlos Ferreira, LIAAD INESC Porto LA, ISEP, Portugal * Edwin Lughofer, Johannes Kepler University of Linz, Austria * Sylvie Charbonnier, Universit? Joseph Fourier-Grenoble, France * David Camacho Fernandez, Universidad Politecnica de Madrid, Spain * Bruno Sielly Jales Costa, IFRN, Natal, Brazil * Fernando Gomide, University of Campinas, Brazil * Jos? A. Iglesias, Universidad Carlos III de Madrid, Spain * Anthony Fleury, Mines-Douai, Institut Mines-T?l?com, France * Teng Teck Hou, Nanyang Technological University, Singapore * Plamen Angelov, Lancaster University, UK * Igor Skrjanc, University of Ljubljana, Slovenia * Slawomir Nowaczyk, Halmstad University, Sweden * Indre Zliobaite, University of Helsinki, Finland * Elaine Faria, Univ. Uberlandia, Brazil * Mykola Pechenizkiy, TU Eindonvhen, Netherlands * Raquel Sebasti?o, Univ. Aveiro, Portugal * Anders Holst, RISE SICS, Sweden * Erik Frisk, Link?ping University, Sweden * Enrique Alba, University of M?laga, Spain * Thorsteinn R?gnvaldsson, Halmstad University, Sweden * Andreas Theissler, University of Applied Sciences Aalen, Germany * Vivek Agarwal, Idaho National Laboratory, Idaho * Manuel Roveri, Politecnico di Milano, Italy * Yang Hu, Politecnico di Milano, Italy * Rita Ribeiro, University of Porto, Porto, Portugal ---------------------------------------------------------- Workshop Organizers * Joao Gama, University of Porto, Porto, Portugal, jgama at fep.up.pt * Albert Bifet, Telecom-ParisTech, Paris, France, albert.bifet at telecom-paristech.fr * Moamar Sayed Mouchaweh, IMT Lille-Douai, Douai, France, moamar.sayed-mouchaweh at imt-lille-douai.fr * Grzegorz J. Nalepa, Jagiellonian University, Krakow, Poland, gjn at gjn.re * Sepideh Pashami, Halmstad University, Sweden, sepideh.pashami at hh.se 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 giacomo.cabri at unimore.it Mon Apr 6 06:28:19 2020 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Mon, 6 Apr 2020 12:28:19 +0200 Subject: Connectionists: 5th eCAS Workshop on Engineering Collective Adaptive Systems: Call for Papers & Talks Message-ID: <659f274e-5c11-e27e-42e5-60637f93f042@unimore.it> ********* eCAS 2020 - Call for Papers & Talks *********5th eCAS Workshop on Engineering Collective Adaptive Systems21 August 2020 ? Washington, DC, USA& online At the 1st IEEE International Joint ICAC/SASO Conference on Autonomic Computing & Self-Organizing Systems(ACSOS) http://ecas2020.apice.unibo.it/ https://2020.acsos.org/******************************************************* **** About the eCAS Workshop Series **** Modern computing systems are becoming ever more collective and are often composed of many distributed and heterogeneous entities. These systems operate under continuous perturbations and environmental change, making manual adjustments infeasible. For a collective system to be resilient, its adaptation must also be collective, in the sense that multiple entities must adapt in a way that addresses critical runtime conditions while preserving the benefits of collaborative interdependencies. Decision-making in such systems is distributed and possibly highly dispersed, and interaction between the entities may lead to the emergence of unexpected phenomena. In such systems, new approaches for and understanding of collective adaptation are needed, to allow: (i) multiple entities to adapt in a coordinated or complementary way, with (ii) negotiations, collective action, or other mechanisms to decide which collective changes are to be made. Collective adaptation also raises a second important challenge: Which parts of the system (things, services, people) should adapt, and how? This is nontrivial, as multiple solutions to the same problem may be generated at different levels, and individuals in the collective often have partial information. The challenge is to understand these levels and create mechanisms to decide the right scope for an adaptation for a given problem. This workshop solicits papers and talks that address new methodologies, theories, principles, and fundamental understanding, that can be used to underpin the design, operation, and analysis of such systems. Case studies, applications showing such approaches in action, and interdisciplinary work are particularly welcome. Suggested Topics (but not limited to): - Novel theories relating to operating principles of CAS - Novel design principles for building CAS systems - Insights into the short and long-term adaptation of CAS systems - Insights into emergent properties of CAS - Insights into general properties of large scale, distributed CAS - Comparing and analyzing approaches to CAS (e.g., distributed and centralized) - Decision-making approaches in CAS - Methodologies for studying, analyzing, and building CAS - Frameworks for analyzing or developing CAS case studies - Languages, platforms, APIs and other tools for CAS - Scenarios, case studies, and experience reports of CAS in different contexts (e.g., Smart Mobility, Smart Energy/Smart Grid, Smart Buildings, traffic management, emergency response, etc.)** 2020 will be the 5th installment in the eCAS workshop series. For more information about eCAS, check out our web pages: http://ecas2020.apice.unibo.it/**** About the IEEE ACSOS Conference **** The goal of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is to provide a forum for sharing the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). For more information about the merger, as well as up-to-date news, see https://2020.acsos.org/news/ or follow us at https://twitter.com/ACSOSconf! *** Statement Regarding COVID-19 *** The eCAS and ACSOS Steering and Organizing Committees have been monitoring the situation surrounding COVID-19, and considering what impact this may have on events scheduled for later in the year, such as ours. eCAS will follow the arrangements of the main ACSOS conference. We would like to express our empathy and condolences with those affected by COVID-19 so far, and those who will have a difficult 2020. Our primary concern is that members of our community, and their families and friends, remain safe and well.We are aware of the restrictions and uncertainty that people are facing, and therefore want to take this opportunity toannounce and confirm that: - eCAS and ACSOS *will* take place, and on their original dates in August. - There will be an opportunity to present virtually, for anyone who cannot or chooses not to travel. - All accepted eCAS papers will be published in the workshops proceedings by IEEE, regardless of whether a physical or virtual presentation is given. - Whether the workshop becomes entirely virtual or a hybrid is a decision that will be taken by early June at the latest. This is to ensure people have ample time to make travel arrangements, in the case of physical attendance. As the situation surrounding COVID-19 is evolving rapidly, it is unclear what things will be like in the late summer. Therefore, we hope you find the above clarifications helpful, and we appreciate your understanding as we continue to monitor the situation carefully.* * **** Scope *** * The eCAS workshop series attracts participants from many disciplines, including Autonomic Computing, Biology, Game Theory, Evolutionary Computing, Network Science, Self-Organizing Systems, Pervasive Computing, and to be of interest to anyone working with the domain of large-scale self-adaptive systems. In addition, the European Commission has funded seven scientific projects and a Coordination Action in this area, with projects starting at the beginning of 2013. The proposed workshop provides a natural base for the projects to meet and share ideas, yet we stress that the workshop is in no way limited to this audience, and is likely to have broad appeal to a wide range of researchers. Potential audience members might work in application areas relating to large-scale distributed systems, or may come from any of the many disciplines that can provide insights into the operation and design of such systems. **** Important Dates **** - Workshop paper & talk submission deadline: June 12, 2020 - Workshop paper & talk notification: June 30, 2020 - Camera-Ready Versions due: July 8, 2020 - Workshop: August 21, 2020 **** Submission Details and Review Process *** * Contributions will be peer reviewed for originality, clarity and readability, relevance to themes, soundness, and overall quality. We solicit the following types of contributions: - Workshop papers, limited to 6 pages including references, following the IEEE Computer Society Press proceedings style guide. - Talks, submitted as extended abstracts, limited to 1 page including references, without formatting restrictions. Workshop papers will be published on IEEE Xplore in parallel with the main IEEE ACSOS conference proceedings. Extended abstracts will not be published, should be relevant to the eCAS community (with a preference for application-focussed talks or lessons learnt) and may report (i) on work having already been (partially) presented elsewhere, or (ii) work at an early stage, where there would be benefit for both the authors and audience in sharing ideas and progress. All contributions should be submitted in PDF format using the Easychair login page: https://easychair.org/conferences/?conf=ecas2020 By submitting, the authors confirm that in case of acceptance, at least one author will attend (possibly virtually) the workshop to present the work. **** Workshop organizers *** *Please don't hesitate to get in touch with the organizers with any queries. - Giorgio Audrito, Universit? di Torino, Italy, giorgio.audrito at gmail.com - Peter Lewis, Aston University, Birmingham, UK, p.lewis at aston.ac.uk -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From bikakis.nikos at gmail.com Mon Apr 6 05:07:49 2020 From: bikakis.nikos at gmail.com (Nikos Bikakis) Date: Mon, 6 Apr 2020 12:07:49 +0300 Subject: Connectionists: New Book: Linked Data Visualization: Techniques, Tools and Big Data Message-ID: _ New Book "Linked Data Visualization: Techniques, Tools and Big Data" Laura Po, Nikos Bikakis, Federico Desimoni & George Papastefanatos Morgan & Claypool 2020 ISBN: 9781681737256 | 9781681737263 (ebook) DOI: 10.2200/S00967ED1V01Y201911WBE019 Morgan & Claypool: https://www.morganclaypool.com/doi/abs/10.2200/S00967ED1V01Y201911WBE019 Homepage: http://www.linkeddatavisualization.com This book covers a wide spectrum of visualization topics, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of Data (LD). It presents the core concepts related to data visualization and LD technologies, techniques employed for data visualization based on the characteristics of data, techniques for Big Data visualization, tools and use cases in the LD context, and, finally, a thorough assessment of the usability of these tools under different scenarios. The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and empower them to get started with the visual analysis of such data. The book can serve as a course textbook or as a primer for everyone who wants to explore and analyze LD, whether undergraduate and post-graduate students, data scientists, semantic technology developers, or UI & UX designers who wish to gain some practical experience with LD tools. Previous knowledge of Semantic Web technologies such as RDF, OWL, SPARQL, or programming skills is not required. Keywords: ?Linked Data, Visual Analytics, Big Data, Visualization Tools, Semantic Web, Data Exploration, Information Visualization, Human-Computer Interaction, Usability Read more information: http://www.linkeddatavisualization.com Order: ?Morgan & Claypool: https://tinyurl.com/qqul4tm ?Amazon: https://www.amazon.com/dp/1681737256 ?Barnes & Noble: https://tinyurl.com/v8g4yv3 ?AbeBooks: https://tinyurl.com/uvrqu86 ?More: http://www.linkeddatavisualization.com/order.html _ Nikos Bikakis ATHENA Research Center? | Greece www.nbikakis.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.Qiu-1 at tudelft.nl Mon Apr 6 08:15:54 2020 From: S.Qiu-1 at tudelft.nl (Sihang Qiu - EWI) Date: Mon, 6 Apr 2020 12:15:54 +0000 Subject: Connectionists: Deadline Extension - ACM Hypertext 2020 Message-ID: * We apologize for cross-posting * We have extended the ACMHT20 deadline to *April 10th* for the main conference and *April 30th* for exhibits, demos, blue sky, etc. ACM HYPERTEXT 2020 ? HT2020 FOR SOCIAL GOOD 31st ACM Conference on Hypertext and Social Media (HT?20) July 13-15 2020 | Orlando, Florida, USA ############# CALL FOR PAPERS ############# Twitter: @ACMHT ? https://twitter.com/ACMHT Conference Site: http://ht.acm.org/ht2020 Hashtag: #ACMHT2020 Submit Online via EasyChair: https://easychair.org/conferences/?conf=ht2020 ------------------------------ IMPORTANT DATES ------------------------------ April 10 ? Paper deadline April 17 ? Papers assigned for review May 1 ? Review deadline May 8 ? Discussion deadline May 16 ? Paper notifications May 22 ? SIGWEB travel award deadline May 29th ? Camera ready deadline ----------------------- CONFERENCE SCOPE ----------------------- The ACM Hypertext conference is a premium venue for high quality peer-reviewed research on hypertext theory, systems and applications. It is concerned with all aspects of modern hypertext research including social media, semantic web, dynamic and computed hypertext and hypermedia as well as narrative systems and applications. The theme of Hypertext 2020 is ?HYPERTEXT for Social Good?. This motto of the 31st ACM Hypertext conference goes hand in hand with the growing importance of ensuring technological inventions and innovations have a positive impact on the users, as well as the society at large. We are particularly interested in work that is timely, activist, or community-centered. Hypertext 2019 turned some important stones to reunify different hypertext research directions and communities. Hypertext 2020 will proudly carry forward this aim. Hypertext 2020 will therefore consist of 4 different tracks that broadly appeal to interdisciplinary challenges. In addition to this, HT2020 will also host a Doctoral Consortium, and a Blue Sky Ideas track to facilitate the presentation and discussion of grand visions for the future of Hypertext systems. This is a perfect time to join in, reflect our common roots, and discuss how we can jointly address our current and future challenges. Hypertext 2020 is co-locating with the Electronic Literature Conference (ELO?20) organized in Orlando, Florida between July 13-15. The conference will take place at the downtown University of Central Florida campus, with hotel accommodations available next door to the conference venues. ----------------------- ORGANIZATION ----------------------- General Chairs: ? Anastasia Salter, University of Central Florida (@AnaSalter ? https://twitter.com/AnaSalter) ? John Barber, Washington State University Program Chair: ? Ujwal Gadiraju, Leibniz University of Hannover, DE (@UjLaw ? https://twitter.com/ujlaw) Local Arrangements Chair: ? Mel Stanfill, University of Central Florida (@melstanfill ? https://twitter.com/melstanfill) Publicity Co-Chairs: ? Bonnie Cross, University of Central Florida, USA (@bonniercross ? https://twitter.com/bonniercross) ? Sihang Qiu, Delft University of Technology, NL (@qiusihang ? https://twitter.com/qiusihang) Web Chair: ? Mike Shier, University of Central Florida, USA Proceedings Chair: ? John Murray, University of Central Florida (@lucidbard https://twitter.com/lucidbard) ---------------------------------------------- SUBMISSION CATEGORIES AND DEADLINES ---------------------------------------------- Papers must report new results substantiated by experimentation, simulation, analysis, or application. Authors are invited to submit papers presenting original, not previously published works. Art and creative work is also welcome as part of the exhibition/creative track. Submission categories include: SUBMISSION DEADLINE ?REGULAR?: 10 April 2020 ? Regular research papers (max 10 pages) discussing mature work. ? Short papers (max 5 pages) describing preliminary results of on-going work or novel thought-provoking ideas ? Doctoral consortium submissions (max 4 pages + CV) describing the work of the graduate student and a CV in order to provide some background information about the graduate student SUBMISSION DEADLINE ?LATE BREAKING/DEMOS/EXHIBITION?: 30 April 2019 ? Late breaking (max 2 pages, presented as poster) presenting innovative research ideas, or preliminary results. ? Demos (max 2 pages) presenting system prototypes or industry showcases. ? Exhibition or creative track submissions (max 2 pages) describing the proposed exhibition or creative work. Creative work is particularly encouraged to be web-based and engage with the theme of ?Changing Climates,? a call to engage the impact of hypertext and the responsibility of web creators and researchers in a time of climate change. Participants are welcome to submit creative work in absentia if coming from a country that currently makes travel unfeasible, in consultation with the chairs. Accepted submissions will appear in the Hypertext 2020 Conference Proceedings that will be published by ACM via the ACM Digital Library. Submissions should follow the ACM SIGCONF version of the master template and be anonymized for peer review. ---------------------------------------------- CONFERENCE MAIN TRACKS ---------------------------------------------- ### Hypertext Infrastructures and User Interfaces ### * Hypertext structure domains (e.g., node-link structures, spatial hypertext, taxonomic hypertext, argumentation structures) * Interaction devices used in combination with hypertext systems (e.g., VR glasses, smart whiteboards, mobile devices) * Interacting with hypertext * Visual analytics and hypertext * Data visualization and navigation * Conversational User Interfaces * Social Media Systems and Tools ### Hypertext Literature, Games, and Digital Humanities ### * Hyperfiction and storytelling * Gaming and gamification * Automated analysis of narratives * Automated story or (semantic) link generation * Hypertext and digital humanities * Digital journalism and citizen/collaborative news * Electronic literature * Hypermedia authoring * Interactive fiction and storytelling * Intelligent narratives * Theory of hypertext narratives * Hypertext and communication theory ### Web and Society ### * Fairness, Accountability, Transparency, Ethics in Web Search * Security, Privacy, & Trust * Bias in Web Search * Search as Learning * Computational Social Science * Human Computation & Crowdsourcing * Urban Data Science * Smart Cities * Health and Well-being Online * Affective Computing & Personal Health * Humanities, Arts, & Culture on the Web * Behavioral Monitoring & Change * Web Mining & Content Analysis ### Social Media Analysis & Recommender Systems ### * User Modeling & Personalization * Social Network Analysis * Credibility of Social Media Content * Opinion Mining * Bias, Filter Bubbles and Ethics of Personalized Services * Personalization and Recommendation for Social Good * Explainable Methods for Recommender Systems * Explainable Methods for Personalization * User Experience & Engagement * Preference Elicitation * Algorithmic Scalability & Performance * Conversational Recommender Systems ----------------------- BLUE SKY IDEAS TRACK ----------------------- The emphasis of this track is on visionary ideas, long-term challenges, and new research opportunities. This track is designed to overcome the constraints of the traditional review process, and will serve as an incubator for innovative approaches, risky and provocative ideas, and to propose challenges and opportunities in the near future. Submissions to this track are limited to a maximum of 4 pages. ----------------------- DOCTORAL CONSORTIUM ----------------------- PhD students (or in specific cases Master students) are encouraged to submit their ongoing research related to the broad scope of HT 2020. The goal of the Doctoral Consortium is to provide PhD students at different stages of their candidature, with an adequate platform to showcase their research, goals and receive feedback on their ongoing research. Students can use this opportunity within a dedicated session at the HT 2020 conference, to receive guidance on various aspects of their research from established researchers and other PhD students working in research areas related to the broad scope of HT 2020. From lpandolfo at uniss.it Mon Apr 6 09:12:44 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Mon, 6 Apr 2020 15:12:44 +0200 Subject: Connectionists: [CfP] ICLP2020 -The 36th International Conference on Logic Programming Message-ID: [Apologies for cross-posting] *IMPORTANT NOTE: We are continuously monitoring the COVID-19 situation from local authorities and the World Health Organization. ICLP 2020 is half a year away, and we are confident that COVID-19 emergency will pass over and the conference will be held in September, as planned. And, if necessary, alternative solutions, such as postponement, remote presentations, etc will be looked into and identified.* *** Call for Papers *** ICLP 2020 The 36th International Conference on Logic Programming September 18 - September 24, 2020 University of Calabria, Rende, Italy https://iclp2020.unical.it The 36th International Conference on Logic Programming (ICLP 2020) will take place from the 18th to the 24nd of September 2020 in Rende (CS), Italy, with the main program starting immediately after the sister conference KR 2020. Since the first conference held in Marseille in 1982, ICLP has been the premier international event for presenting research in logic programming. Scope ===== Contributions are solicited in all areas of logic programming and related areas, including but not restricted to: ? Foundations: Semantics, Formalisms, Answer-Set Programming, Non-monotonic Reasoning, Knowledge Representation. ? Declarative Programming: Inference engines, Analysis, Type and mode inference, Partial evaluation, Abstract interpretation, Transformation, Validation, Verification, Debugging, Profiling, Testing, Logic-based domain-specific languages, constraint handling rules. ? Related Paradigms and Synergies: Inductive and Co-inductive Logic Programming, Constraint Logic Programming, Interaction with SAT, SMT and CSP solvers, Logic programming techniques for type inference and theorem proving, Argumentation, Probabilistic Logic Programming, Relations to object-oriented and Functional programming, Description logics, Neural-Symbolic Machine Learning, Hybrid Deep Learning and Symbolic Reasoning. ? Implementation: Concurrency and distribution, Objects, Coordination, Mobility, Virtual machines, Compilation, Higher Order, Type systems, Modules, Constraint handling rules, Meta-programming, Foreign interfaces, User interfaces. ? Applications: Databases, Big Data, Data Integration and Federation, Software Engineering, Natural Language Processing, Web and Semantic Web, Agents, Artificial Intelligence, Bioinformatics, Education, Computational life sciences, Education, Cybersecurity, and Robotics. Tracks and Special Sessions =========================== Besides the main track, ICLP 2020 will host additional tracks and special sessions: ? Applications Track: This track invites submissions of papers on emerging and deployed applications of LP, describing all aspects of the development, deployment, and evaluation of logic programming systems to solve real-world problems, including interesting case studies and benchmarks, and discussing lessons learned. ? Sister Conferences and Journal Presentation Track: This track provides a forum to discuss important results related to logic programming that appeared recently (from January 2017 onwards) in selective journals and conferences but have not been previously presented at ICLP. ? Special Session: Women in Logic Programming: This special session will include invited talks and presentations by women in logic programming. ? Research Challenges in Logic Programming Track: This track invites submissions of papers describing research challenges that an individual researcher or a research group is currently attacking. The goal of the track is to promote discussions, exchange of ideas, and possibly stimulate new collaborations. Papers submitted to this track do not go through the usual review and will not be published in the proceedings ? they will be distributed at the conference as a technical report. Every of the above four tracks will have its own dedicated chairs, PC, evaluation criteria, and CFP with related submission details (see the specific call for papers). In addition to the presentations of accepted papers, the technical program will include invited talks, advanced tutorials, the doctoral consortium, and several workshops. Submission Details ================== All submissions must be made via the EasyChair conference system: https://easychair.org/conferences/?conf=iclp20200. Regular papers must be in the condensed TPLP format (template here) and not exceed 14 pages including bibliography. Regular papers may be supplemented with appendices for proofs and details of datasets which do not count towards the page limit and which will not be made available as appendices to the published paper. Three kinds of regular papers will be accepted: ? Technical papers for technically sound, innovative ideas that can advance the state of logic programming; ? Application papers that impact interesting application domains; ? System and tool papers which emphasize novelty, practicality, usability, and availability of the systems and tools described. Application, system, and tool papers need to be clearly marked in their title. All submissions must be written in English and 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. Papers of the highest quality will be selected to be published in the journal of Theory and Practice of Logic Programming (TPLP), Cambridge University Press (CUP). In order to ensure the quality of the final version, papers may be subject to more than one round of refereeing (within the decision period). The program committee may recommend some regular papers to be published as Technical communications in EPTCS format (http://info.eptcs.org). Technical communications must not exceed 14 pages, including the bibliography. The authors of the technical communications can also elect to convert their submissions into extended abstracts, of 2 or 3 pages, for inclusion in the EPTCS proceedings. This should allow authors to submit a long version elsewhere. All regular papers and technical communications will be presented during the conference. So, at least one author per accepted paper is expected to register and attend the conference. Authors of accepted papers will, by default, be automatically included in the list of ALP members, who will receive quarterly updates from the Logic Programming Newsletter at no cost. Important Dates =============== Abstract registration (regular papers): May 8, 2020 Paper submission (regular paper): May 15, 2020 Notification to authors (regular paper): June 19, 2020 Paper Submission (short papers): June 30, 2020 Revision submission (TPLP papers): July 6, 2020 Final notifications (TPLP papers): July 17, 2020 Camera-ready copy due: July 27, 2020 Main Conference starts: September 19, 2020 Autumn School on Logic Programming ================================== A school on logic programming will be held before the conference. More up to date information is available at the school web page. Doctoral Consortium =================== The 16th Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. Accepted participants will receive partial financial support to attend the event and the main conference. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. The DC will have its own CFP, including the submission details. For information, please visit the DC Web Page. Workshops ========= The ICLP 2020 program will include several workshops. They are perhaps the best places for the presentation of preliminary work, underdeveloped novel ideas, and new open problems to an interested audience with opportunities for intensive discussions and project collaborations. Tutorials ========= The ICLP 2020 program will include several tutorials. They offer the participants, reviews of specific subfields as well as hands-on sessions by leading experts. Conference Organization ======================= General Chairs: ? Sergio Greco, University of Calabria, Italy ? Nicola Leone, University of Calabria, Italy Program Chairs: ? Francesco Ricca, University of Calabria, Italy ? Alessandra Russo, Imperial College London Organizing Chairs: ? Marco Calautti, University of Calabria, Italy ? Carmine Dodaro, University of Calabria, Italy Publicity Chair: ? Laura Pandolfo, University of Sassari, Italy -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Mon Apr 6 12:22:49 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Mon, 6 Apr 2020 18:22:49 +0200 Subject: Connectionists: CFP update due to COVID-19 - FAPER2020 workshop at ICPR2020 - submission postponed to October 10th, 2020 In-Reply-To: References: Message-ID: <7ef0ad9f-27f9-8919-82b9-3e30068454bc@unifi.it> ??????????????????? FAPER2020 workshop at ICPR2020 ???????? *** UPDATES in relation to COVID-19 (Coronavirus) *** ????? /// SUBMISSION DEADLINE POSTPONED TO OCTOBER 10TH, 2020 \\\ ??????????? ---===== Apologies for cross-postings =====--- ?????????? Please distribute this call to interested parties _______________________________________________________________________ ?International Workshop on Fine Art Pattern Extraction and Recognition ????????????????????????? F A P E R?? 2 0 2 0 ??????????????????? workshop in conjunction with the ??? 25th International Conference on Pattern Recognition (ICPR2020) ?????????????????? Milan, Italy, January 10-15, 2021 ???????? >>> https://sites.google.com/view/faper-workshop/ <<< ???????????? *** Submission deadline: October 15, 2020 *** - Submission link: https://easychair.org/conferences/?conf=faper2020 - _______________________________________________________________________ === UPDATES in relation to COVID-19 (Coronavirus) === Given the COVID-19 situation in Italy and all over the globe, the ICPR 2020 Chairs have decided to shift the Conference schedule, including FAPER2020, to the beginning of January 2021. FAPER2020 submission deadline has been postponed as well to October 10th, 2020. === Aim & Scope === Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites. The aim of the workshop is to provide an international forum for those who wish to present advancements in the state of the art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for the better understanding and fruition of fine arts. The workshop solicits contributions from diverse areas such as pattern recognition, computer vision, artificial intelligence and image processing. === Topics === Topics of interest include, but are not limited to: - Application of machine learning and deep learning to cultural heritage - Computer vision and multimedia data - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Historical document analysis - Content-based retrieval in the art domain - Speech, audio and music analysis from historical archives - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Projects, products or prototypes for cultural heritage restoration, preservation and fruition === Important Dates === -? October? 10th, 2020 - workshop submission deadline -? November 10th, 2020 - author notification -? November 15th, 2020 - camera-ready submission -? December? 1st, 2020 - finalized workshop program === Submission guidelines === Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines. The following paper categories are welcome: - Full papers (12-15 pages, including references) - Short papers? (6-8 pages, including references) Accepted manuscripts will be included in the ICPR 2020 Workshop Proceedings Springer volume. Once accepted, at least one author is expected to attend the event and orally present the paper. Authors of selected papers will be invited to extend and improve their contributions for a Special Issue of the Journal of Imaging (MDPI). === Organizing committee === Gennaro Vessio (University of Bari, Italy) Giovanna Castellano (University of Bari, Italy) Fabio Bellavia (University of Palermo, Italy) === Venue === The workshop will be hosted at Milan Congress Center (Mi.Co.), which is located in Piazzale Carlo Magno 1, Milan, Italy. _______________________________________________________________________ ?Contacts: gennaro.vessio at uniba.it ?????????? giovanna.castellano at uniba.it ?????????? fabio.bellavia at unipa.it ?Workshop: https://sites.google.com/view/faper-workshop/ ?ICPR2020: https://www.micc.unifi.it/icpr2020/ From lzhang at cse.ust.hk Mon Apr 6 21:46:35 2020 From: lzhang at cse.ust.hk (Prof. Nevin L. Zhang) Date: Tue, 7 Apr 2020 01:46:35 +0000 Subject: Connectionists: A topic-based index to the COVID-19 Open Research Dataset In-Reply-To: <14b9e17fbb6c4edfac661add538f258c@cse.ust.hk> References: <14b9e17fbb6c4edfac661add538f258c@cse.ust.hk> Message-ID: <84cd923cfaa64e9e80bf8aa1cd53abd7@cse.ust.hk> Dear Colleagues, In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 47,000 scholarly articles, including over 36,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community. Several search engines have been built for the dataset, including CORD-19 Explorer, Covidex and so on (https://cord-19.apps.allenai.org/). At HKUST, we have built a topic-based index to the non-commercial subset of the data (http://aipano.cse.ust.hk/covid/noncomm_1000/). We hope that it can be helpful to those who wish to gain an overview of what is in CORD-19 besides searching for specific items. Sincerely, Nevin L. Zhang -------------- next part -------------- An HTML attachment was scrubbed... URL: From blextar at gmail.com Mon Apr 6 23:37:12 2020 From: blextar at gmail.com (Luca Rossi) Date: Tue, 7 Apr 2020 11:37:12 +0800 Subject: Connectionists: Call for Papers S+SSPR 2020 Message-ID: Dear all, In light of the current Covid-19 pandemic and the decision to move ICPR 2020 to January 2021, we took the decision to postpone S+SSPR as well, with the new dates being 19-22 January 2021. For more information please see the CFP below and the website http://www.dais.unive.it/sspr2020/ Best regards, S+SSPR organising committee === CALL FOR PAPERS IAPR Joint International Workshops on 13th Statistical Techniques in Pattern Recognition (SPR) 18th Structural and Syntactic Pattern Recognition Workshop (SSPR) Time and place: 19-22 January 2021, Padova, Italy Paper submission deadline: 16 October 2020 S+SSPR 2020 is a joint event organised by Technical Committee 1 (Statistical Pattern Recognition Technique) and Technical Committee 2 (Structural and Syntactical Pattern Recognition) of the International Association of Pattern Recognition (IAPR). Following the trend of previous editions, S+SSPR 2020 will be held in close proximity and shortly before the International Conference on Pattern Recognition (ICPR). Authors are invited to submit papers addressing topics in statistical, structural or syntactic pattern recognition and their applications. Accepted papers will be published in Springer?s Lecture Notes in Computer Science (LNCS) series. For details see: http://www.dais.unive.it/sspr2020/ -- 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 mihaela.rozman at tuwien.ac.at Mon Apr 6 09:27:53 2020 From: mihaela.rozman at tuwien.ac.at (Rozman, Mihaela) Date: Mon, 6 Apr 2020 13:27:53 +0000 Subject: Connectionists: =?windows-1252?q?Final_Call_For_Papers_=23CFP_The?= =?windows-1252?q?_31st_International_Conference_on_Concurrency_Theory_=96?= =?windows-1252?q?_CONCUR_2020_-_Vienna=2C_Austria_=97_ONLINE_=97_Septembe?= =?windows-1252?q?r_1-4=2C_2020?= In-Reply-To: <1586168723542.29722@tuwien.ac.at> References: <1586168723542.29722@tuwien.ac.at> Message-ID: <1586179673622.17757@tuwien.ac.at> (Please distribute to interested parties **** Apologies for cross-posting) ------------------------------------------------------------- FINAL CALL FOR PAPERS 31st International Conference on Concurrency Theory (CONCUR 2020) September 1-4, 2020 VIRTUAL (Vienna, Austria) https://easychair.org/cfp/CONCUR20 ------------------------------------------------------------- The purpose of CONCUR 2020, the 31st International Conference on Concurrency Theory, is to bring together researchers, developers, and students in order to advance the theory of concurrency, and promote its applications. CONCUR 2020 is part of the umbrella conference QONFEST 2020 comprising the joint international 2020 meetings CONCUR, FMICS, FORMATS, QEST, alongside with several workshops and tutorials. Amid the recent COVID-19 situation, the organization committee decided that QONFEST 2020, and thus also CONCUR 2020 will be organized on-line. Accepted papers will be published as planned, by September 2020, but no physical meeting/presentations will take place. We plan that the authors will record their talks and discuss them with the conference participants online. All CONCUR 2020 deadlines have been adjusted with two weeks dead-line extensions. ------------------------------------------------------------- TOPICS Submissions are solicited in semantics, logics, verification and analysis of concurrent systems. The principal topics include (but are not limited to): -Basic models of concurrency such as abstract machines, domain-theoretic models, game-theoretic models, process algebras, graph transformation systems, Petri nets, hybrid systems, mobile and collaborative systems, probabilistic systems, real-time systems, biology-inspired systems, and synchronous systems; -Logics for concurrency such as modal logics, probabilistic and stochastic logics, temporal logics, and resource logics; -Verification and analysis techniques for concurrent systems such as abstract interpretation, atomicity checking, model checking, race detection, preorder and equivalence checking, run-time verification, state-space exploration, static analysis, syn-thesis, testing, theorem proving, type systems, and security analysis; -Distributed algorithms and data structures: design, analysis, complexity, correctness, fault tolerance, reliability, availability, consistency, self-organization, self-stabilization, protocols; -Theoretical foundations of architectures, execution environments, and software development for concurrent systems such as georeplicated systems, communication networks, multiprocessor and multi-core architectures, shared and transactional memory, resource management and awareness, compilers and tools for concurrent programming, programming models such as component-based, object- and service-oriented. ------------------------------------------------------------- PAPER SUBMISSION -CONCUR 2020 solicits high quality papers reporting research results and/or experience re-lated to the topics mentioned below. -All papers must be original, unpublished, and not submitted for publication elsewhere. Each paper will undergo a thorough review process. The paper may be supplemented with a clearly marked appendix, which will be reviewed at the discretion of the program committee. -The CONCUR 2020 proceedings will be published by LIPIcs. -Papers must be submitted electronically as PDF files via EasyChair. Papers must not exceed 14 pages (excluding references and clearly marked appendices) using the LIPIcs style. ------------------------------------------------------------- IMPORTANT DATES All dates are AoE, extended because of COVID-19. -Abstract submission: April 28, 2020 -Paper submission: May 6, 2020 -Notification: June 28, 2020 -Camera ready copy: July 17, 2020 -Conference: September 1-4, 2020 ------------------------------------------------------------- SPECIAL ISSUE A special issue dedicated to selected papers from CONCUR 2020 will appear in Logical Methods in Computer Science. ------------------------------------------------------------- ORGANIZATION COMMITTEE Program Co-chairs Igor Konnov - Informal Systems, Austria Laura Kovacs - TU Wien, Austria Workshop Chair Florian Zuleger - TU Wien, Austria Webmaster Thanh-Hai Tran - TU Wien, Austria ------------------------------------------------------------- PROGRAM COMMITTEE Alessandro Abate, University of Oxford Elvira Albert, Universidad Complutense de Madrid Giovanni Bacci, Aalborg University Filippo Bonchi, University of Pisa Patricia Bouyer, CNRS Yu-Fang Chen, Academia Sinica Veronique Cortier, CNRS, Loria Pedro R. D'Argenio, Universidad Nacional de C?rdoba ? CONICET Michael Emmi, Amazon Web Services Bernd Finkbeiner, Saarland University Silvio Ghilardi, Universit? degli Studi di Milano Roberto Giacobazzi, University of Verona Rob van Glabbeek, Data61 ? CSIRO Alberto Griggio, Fondazione Bruno Kessler Ichiro Hasuo, National Institute of Informatics Sophia Knight, University of Minnesota Igor Konnov, INRIA Nancy (LORIA) Laura Kovacs, TU Wien Antonin Kucera, Masaryk University Marijana Lazic, TU Munich Karoliina Lehtinen, University of Liverpool Kuldeep S. Meel, National University of Singapore Jan Otop, University of Wroclaw Joel Ouaknine, Max Planck Institute for Software Systems (MPI-SWS) Jorge A. P?rez, University of Groningen Tatjana Petrov, University of Konstanz Nir Piterman, University of Gothenburg Giselle Reis, Carnegie Mellon University Philipp Ruemmer, Uppsala University Lutz Schr?der, Friedrich-Alexander-Universit?t Erlangen-N?rnberg Alexandra Silva, University College London Ana Sokolova, University of Salzburg Jun Sun, Singapore Management University Max Tschaikowski, Aalborg University Valeria Vignudelli, CNRS/ENS Lyon Yakir Vizel, The Technion Nobuko Yoshida, Imperial College London Lijun Zhang, Institute of Software, Chinese Academy of Sciences ------------------------------------------------------------- STEERING COMMITTEE Javier Esparza, TU M?nchen, Germany, chair Pedro D?Argenio, National University of Cordoba, Argentina Wan Fokkink, Vrije Universiteit Amsterdam, The Netherlands Joost-Pieter Katoen, RWTH, Germany Catuscia Palamidessi, INRIA and Ecole Polytechnique, France Davide Sangiorgi, University of Bologna, Italy Jiri Srba, Aalborg University, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Mon Apr 6 12:23:18 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Mon, 6 Apr 2020 18:23:18 +0200 Subject: Connectionists: CFP UPDATE due to COVID-19 - MAES@ICPR2020 workshop - submission postponed to October 10th, 2020 Message-ID: <858f79eb-295b-52c4-288f-fb91fc83c590@unifi.it> ???????????????????? MAES2020 workshop at ICPR2020 ???????? *** UPDATES in relation to COVID-19 (Coronavirus) *** ????? \\\ SUBMISSION DEADLINE POSTPONED TO OCTOBER 10TH, 2020 /// ?????????? ---===== Apologies for multiple posting =====--- ????????? Please distribute this call to interested parties _______________________________________________________________________ ?? Machine Learning Advances Environmental Science (MAES at ICPR2020) ?????????????????????????? workshop at the ?? 25th International Conference on Pattern Recognition (ICPR2020) ????????????????? Milan, Italy, January 10-15, 2021 ???????? >>> https://sites.google.com/view/maes-icpr2020/ <<< _______________________________________________________________________ === UPDATES in relation to COVID-19 (Coronavirus) === Given the COVID-19 situation in Italy and all over the globe, the ICPR 2020 Chairs have decided to shift the Conference schedule, including MAES, to January 2021. MAES submission deadline has been postponed as well to October 10th, 2020. ?=== Aim & Scope === Environmental data are growing steadily in volume, complexity and diversity to Big Data mainly driven by advanced sensor technology. Machine learning can offer superior techniques for unravelling complexity, knowledge discovery and predictability of Big Data environmental science. The aim of the workshop is to provide a state-of-the-art survey of environmental research topics that can benefit from Machine Learning methods and techniques. To this purpose the workshop welcomes papers on successful environmental applications of machine learning and pattern recognition techniques to? diverse domains of Environmental Research, for instance, recognition of biodiversity in thermal, photo and acoustic images, natural hazards analysis and prediction, environmental remote sensing, estimation of environmental risks, prediction of the concentrations of pollutants in geographical areas, environmental threshold analysis and predictive modelling,? estimation of Genetical Modified Organisms (GMO) effects on non-target species. The workshop will be the place to make an analysis of the advances of Machine Learning for the Environmental Science and should indicate the open problems in environmental research that still have not properly benefited from Machine Learning. Extended papers of this workshop will be published as a special issue in the journal of Environmental Modelling and Software, Elsevier. ?=== Important Dates === -? October? 10th, 2020 - workshop submission deadline -? November 10th, 2020 - author notification -? November 15th, 2020 - camera-ready submission -? December? 1st, 2020 - finalized workshop program ?=== Organizers === ? Francesco Camastra, Universita' di Napoli Parthenope, Italy ?Friedrich Recknagel, University of Adelaide, Australia ??? Antonino Staiano, Universita' di Napoli Parthenope, Italy ?== Publicity chair == ????? Fabio Bellavia, Universita' di Palermo, Italy _______________________________________________________________________ ?Contacts: antonino.staiano at uniparthenope.it ?????????? francesco.camastra at uniparthenope.it ?Workshop: https://sites.google.com/view/maes-icpr2020/ ?ICPR2020: https://www.micc.unifi.it/icpr2020/ From mtista at gmail.com Mon Apr 6 10:35:54 2020 From: mtista at gmail.com (Massimo Tistarelli) Date: Mon, 6 Apr 2020 16:35:54 +0200 Subject: Connectionists: Extended and reopened deadline: XVII Int.l Summer School on Biometrics 2020 Live! In-Reply-To: References: Message-ID: ?? Please accept our sincere apologies for receiving multiple copies of this announcement ?? *17^th IAPR/IEEE Int.l Summer School for Advanced Studies on Biometrics for Secure Authentication:* *BIOMETRICS, FORENSICS AND IDENTITY SCIENCE FOR HUMAN-CENTERED APPLICATIONS* *Alghero, Italy ? June 8-12 2020* *Contact:*tista at uniss.it http://biometrics.uniss.it *EXTENDED APPLICATION DEADLINE: April 30^th 2020 *(download the application form at: http://biometrics.uniss.it) *Because of the Covid-19 outbreak the classes will be held remotely, and the registration fees considerably reduced, to facilitate participation.* *A special keynote lecture will be given by:* *prof. Tomaso POGGIO * *Massachusetts Institute of Technology, Mc Govern Institute for Brain Research*** For the last seventeen years, the International Summer School on Biometrics has been closely following the developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art. What are the most up-to-date core biometric technologies developed in the field? What is the potential impact of biometrics in forensic investigation and crime prevention? What can we learn from human perception? How to deploy current Deep Learning approaches? How to deal with /adversarial attacks/ in biometric recognition? This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 17^th edition, the courses will mainly focus on new and emerging issues: ?*Biometrics for social interactions and emerging applications;* ?*How to exploit new biometric technologies in forensic and security applications;* ?*Evaluation and assessment of biometric and forensic applications;* ?*Deep Learning for biometrics and forensic identification.* The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry. An advanced feature of this summer school will be some practical sessions to better understand, ?hands on?, the real potential of today?s biometric technologies. *_Participant application_* The school will be open to about 50 highly qualified, motivated and pre-selected applicants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. The expected school fees will be in the order of 400 ? for Phd students and 800 ? for others (subject to change). The fees will include all courses and handling material. *A number of scholarships, covering the fees, will be awarded to Phd students*, selected on the basis of their scientific background and on-going research work. The scholarship request form can be downloaded from the school web site */http://biometrics.uniss.it/*. Phd students, researchers and post-docs are encouraged to submit a short paper (6 pages maximum) for an oral presentation on their recent research activity. Virtual poster boards will be also available to all participants to display their current research advances. Send a filled application form (download from http://biometrics.uniss.it)//together with a short curriculum vitae to:***Prof. Massimo Tistarelli ?*e-mail: *biometricsummerschool at gmail.com* *__* *_School location_* The school lectures will be delivered remotely by videoconferencing facilities. 1.Live lectures will be delivered online with full sharing of the lecturing material and allowing live interaction with the participants. 2.Private and group meetings with each lecturer will be organised to deepen the discussion started in the class. 3.Ad-hoc teleconferencing tools will be set up for practical hands-on sessions. 4.Open sessions will be organised with questions and answers directed by the leading experts in the field. The organisers and all lecturers are fully committed to make this year's school even more successful, instructing and inspiring than the past years. *_School Committee:_* *Massimo Tistarelli* Computer Vision Laboratory ? University of Sassari, Italy *Josef Bigun * Department of Computer Science ? Halmstad University, Sweden *Enrico Grosso* Computer Vision Laboratory ? University of Sassari, Italy *Anil K. Jain* Biometrics laboratory ? Michigan State University, USA ** *_Distinguished lecturers from past school editions_* *Josef **Bigun* Halmstad University ? Sweden *David Meuwly* Netherlands Forensic Institute ? NL *Thirimachos Bourlai* West Virginia University ? USA *Emilio Mordini MD* Responsible Technologies ? Italy *Vincent Bouatou* Safran Morpho ? France *Mark Nixon* University of Southampton ? UK *Deepak Chandra * Google Inc. ? USA *Alice O?Toole* University of Texas ? USA *Rama Chellappa* University of Maryland ? USA *Maja Pantic* Imperial College ? UK *John Daugman* University of Cambridge ? UK *Johnathon Phillips* NIST ? USA *Farzin Deravi* University of Kent ? UK *Nalini Ratha* IBM ? USA *James Haxby* Dartmouth University ? USA *Arun Ross* Michigan State University ? USA** *Anil K. Jain* Michigan State University ? USA *Tieniu Tan * CASIA-NLPR ? China *Joseph Kittler* University of Surrey ? UK *Massimo Tistarelli* Universit? di Sassari ? Italy *Davide Maltoni* Universit? di Bologna ? Italy *Alessandro Verri* Universit? di Genova ? Italy *John Mason* Swansea University ? UK *James Wayman* University of San Jos? ? USA *Aldo Mattei* Arma dei Carabinieri ? Italy *Lior Wolf* Tel Aviv University ? Israel -------------- next part -------------- An HTML attachment was scrubbed... URL: From mihaela.rozman at tuwien.ac.at Mon Apr 6 09:23:42 2020 From: mihaela.rozman at tuwien.ac.at (Rozman, Mihaela) Date: Mon, 6 Apr 2020 13:23:42 +0000 Subject: Connectionists: =?windows-1252?q?Final_Call_For_Papers_=23CFP_The?= =?windows-1252?q?_31st_International_Conference_on_Concurrency_Theory_=96?= =?windows-1252?q?_CONCUR_2020_-_Vienna=2C_Austria_=97_ONLINE_=97_Septembe?= =?windows-1252?q?r_1-4=2C_2020?= In-Reply-To: <1586168723542.29722@tuwien.ac.at> References: <1586168723542.29722@tuwien.ac.at> Message-ID: <1586179422132.57688@tuwien.ac.at> (Please distribute to interested parties **** Apologies for cross-posting) ------------------------------------------------------------- FINAL CALL FOR PAPERS 31st International Conference on Concurrency Theory (CONCUR 2020) September 1-4, 2020 VIRTUAL (Vienna, Austria) https://easychair.org/cfp/CONCUR20 ------------------------------------------------------------- The purpose of CONCUR 2020, the 31st International Conference on Concurrency Theory, is to bring together researchers, developers, and students in order to advance the theory of concurrency, and promote its applications. CONCUR 2020 is part of the umbrella conference QONFEST 2020 comprising the joint international 2020 meetings CONCUR, FMICS, FORMATS, QEST, alongside with several workshops and tutorials. Amid the recent COVID-19 situation, the organization committee decided that QONFEST 2020, and thus also CONCUR 2020 will be organized on-line. Accepted papers will be published as planned, by September 2020, but no physical meeting/presentations will take place. We plan that the authors will record their talks and discuss them with the conference participants online. All CONCUR 2020 deadlines have been adjusted with two weeks dead-line extensions. ------------------------------------------------------------- TOPICS Submissions are solicited in semantics, logics, verification and analysis of concurrent systems. The principal topics include (but are not limited to): -Basic models of concurrency such as abstract machines, domain-theoretic models, game-theoretic models, process algebras, graph transformation systems, Petri nets, hybrid systems, mobile and collaborative systems, probabilistic systems, real-time systems, biology-inspired systems, and synchronous systems; -Logics for concurrency such as modal logics, probabilistic and stochastic logics, temporal logics, and resource logics; -Verification and analysis techniques for concurrent systems such as abstract interpretation, atomicity checking, model checking, race detection, preorder and equivalence checking, run-time verification, state-space exploration, static analysis, syn-thesis, testing, theorem proving, type systems, and security analysis; -Distributed algorithms and data structures: design, analysis, complexity, correctness, fault tolerance, reliability, availability, consistency, self-organization, self-stabilization, protocols; -Theoretical foundations of architectures, execution environments, and software development for concurrent systems such as georeplicated systems, communication networks, multiprocessor and multi-core architectures, shared and transactional memory, resource management and awareness, compilers and tools for concurrent programming, programming models such as component-based, object- and service-oriented. ------------------------------------------------------------- PAPER SUBMISSION -CONCUR 2020 solicits high quality papers reporting research results and/or experience re-lated to the topics mentioned below. -All papers must be original, unpublished, and not submitted for publication elsewhere. Each paper will undergo a thorough review process. The paper may be supplemented with a clearly marked appendix, which will be reviewed at the discretion of the program committee. -The CONCUR 2020 proceedings will be published by LIPIcs. -Papers must be submitted electronically as PDF files via EasyChair. Papers must not exceed 14 pages (excluding references and clearly marked appendices) using the LIPIcs style. ------------------------------------------------------------- IMPORTANT DATES All dates are AoE, extended because of COVID-19. -Abstract submission: April 28, 2020 -Paper submission: May 6, 2020 -Notification: June 28, 2020 -Camera ready copy: July 17, 2020 -Conference: September 1-4, 2020 ------------------------------------------------------------- SPECIAL ISSUE A special issue dedicated to selected papers from CONCUR 2020 will appear in Logical Methods in Computer Science. ------------------------------------------------------------- ORGANIZATION COMMITTEE Program Co-chairs Igor Konnov - Informal Systems, Austria Laura Kovacs - TU Wien, Austria Workshop Chair Florian Zuleger - TU Wien, Austria Webmaster Thanh-Hai Tran - TU Wien, Austria ------------------------------------------------------------- PROGRAM COMMITTEE Alessandro Abate, University of Oxford Elvira Albert, Universidad Complutense de Madrid Giovanni Bacci, Aalborg University Filippo Bonchi, University of Pisa Patricia Bouyer, CNRS Yu-Fang Chen, Academia Sinica Veronique Cortier, CNRS, Loria Pedro R. D'Argenio, Universidad Nacional de C?rdoba ? CONICET Michael Emmi, Amazon Web Services Bernd Finkbeiner, Saarland University Silvio Ghilardi, Universit? degli Studi di Milano Roberto Giacobazzi, University of Verona Rob van Glabbeek, Data61 ? CSIRO Alberto Griggio, Fondazione Bruno Kessler Ichiro Hasuo, National Institute of Informatics Sophia Knight, University of Minnesota Igor Konnov, INRIA Nancy (LORIA) Laura Kovacs, TU Wien Antonin Kucera, Masaryk University Marijana Lazic, TU Munich Karoliina Lehtinen, University of Liverpool Kuldeep S. Meel, National University of Singapore Jan Otop, University of Wroclaw Joel Ouaknine, Max Planck Institute for Software Systems (MPI-SWS) Jorge A. P?rez, University of Groningen Tatjana Petrov, University of Konstanz Nir Piterman, University of Gothenburg Giselle Reis, Carnegie Mellon University Philipp Ruemmer, Uppsala University Lutz Schr?der, Friedrich-Alexander-Universit?t Erlangen-N?rnberg Alexandra Silva, University College London Ana Sokolova, University of Salzburg Jun Sun, Singapore Management University Max Tschaikowski, Aalborg University Valeria Vignudelli, CNRS/ENS Lyon Yakir Vizel, The Technion Nobuko Yoshida, Imperial College London Lijun Zhang, Institute of Software, Chinese Academy of Sciences ------------------------------------------------------------- STEERING COMMITTEE Javier Esparza, TU M?nchen, Germany, chair Pedro D?Argenio, National University of Cordoba, Argentina Wan Fokkink, Vrije Universiteit Amsterdam, The Netherlands Joost-Pieter Katoen, RWTH, Germany Catuscia Palamidessi, INRIA and Ecole Polytechnique, France Davide Sangiorgi, University of Bologna, Italy Jiri Srba, Aalborg University, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.tzimiropoulos at qmul.ac.uk Tue Apr 7 06:03:28 2020 From: g.tzimiropoulos at qmul.ac.uk (Georgios Tzimiropoulos) Date: Tue, 7 Apr 2020 10:03:28 +0000 Subject: Connectionists: PhD Studentship at Queen Mary University of London Message-ID: PhD Studentship at Queen Mary University of London Applications are invited for a fully-funded PhD Studentship starting in October 2020 to undertake research in the area of Computer Vision and Machine Learning. The studentship will include research in the Multimedia & Vision Group (MMV) at Queen Mary University of London, a leading research group which publishes in top journals and conferences in the field of Computer Vision and Multimedia Analysis. Enquiries can be made by email to Dr. Georgios Tzimiropoulos (g.tzimiropoulos at qmul.ac.uk) For more details please see: https://www.findaphd.com/phds/project/phd-studentship-in-computer-vision-and-machine-learning/?p120505 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mihaela.rozman at tuwien.ac.at Tue Apr 7 07:37:11 2020 From: mihaela.rozman at tuwien.ac.at (Rozman, Mihaela) Date: Tue, 7 Apr 2020 11:37:11 +0000 Subject: Connectionists: CFP Final Call For Papers The 31st International Conference on Concurrency Theory - CONCUR 2020 - (Vienna, Austria) ONLINE - September 1-4, 2020 In-Reply-To: <1586184828748.31263@tuwien.ac.at> References: <1586168723542.29722@tuwien.ac.at>, <1586179673622.17757@tuwien.ac.at>, <1586180037448.53800@tuwien.ac.at>, <1586180113664.59094@tuwien.ac.at>, <1586180673181.88541@tuwien.ac.at>, <1586180915847.89178@tuwien.ac.at>, <1586184828748.31263@tuwien.ac.at> Message-ID: <1586259430581.85997@tuwien.ac.at> (Please distribute to interested parties **** Apologies for cross-posting) ------------------------------------------------------------- FINAL CALL FOR PAPERS 31st International Conference on Concurrency Theory (CONCUR 2020) September 1-4, 2020 VIRTUAL (Vienna, Austria) https://easychair.org/cfp/CONCUR20 ------------------------------------------------------------- The purpose of CONCUR 2020, the 31st International Conference on Concurrency Theory, is to bring together researchers, developers, and students in order to advance the theory of concurrency, and promote its applications. CONCUR 2020 is part of the umbrella conference QONFEST 2020 comprising the joint international 2020 meetings CONCUR, FMICS, FORMATS, QEST, alongside with several workshops and tutorials. Amid the recent COVID-19 situation, the organization committee decided that QONFEST 2020, and thus also CONCUR 2020 will be organized on-line. Accepted papers will be published as planned, by September 2020, but no physical meeting/presentations will take place. We plan that the authors will record their talks and discuss them with the conference participants online. All CONCUR 2020 deadlines have been adjusted with two weeks dead-line extensions. ------------------------------------------------------------- TOPICS Submissions are solicited in semantics, logics, verification and analysis of concurrent systems. The principal topics include (but are not limited to): -Basic models of concurrency such as abstract machines, domain-theoretic models, game-theoretic models, process algebras, graph transformation systems, Petri nets, hybrid systems, mobile and collaborative systems, probabilistic systems, real-time systems, biology-inspired systems, and synchronous systems; -Logics for concurrency such as modal logics, probabilistic and stochastic logics, temporal logics, and resource logics; -Verification and analysis techniques for concurrent systems such as abstract interpretation, atomicity checking, model checking, race detection, preorder and equivalence checking, run-time verification, state-space exploration, static analysis, syn-thesis, testing, theorem proving, type systems, and security analysis; -Distributed algorithms and data structures: design, analysis, complexity, correctness, fault tolerance, reliability, availability, consistency, self-organization, self-stabilization, protocols; -Theoretical foundations of architectures, execution environments, and software development for concurrent systems such as georeplicated systems, communication networks, multiprocessor and multi-core architectures, shared and transactional memory, resource management and awareness, compilers and tools for concurrent programming, programming models such as component-based, object- and service-oriented. ------------------------------------------------------------- PAPER SUBMISSION -CONCUR 2020 solicits high quality papers reporting research results and/or experience re-lated to the topics mentioned below. -All papers must be original, unpublished, and not submitted for publication elsewhere. Each paper will undergo a thorough review process. The paper may be supplemented with a clearly marked appendix, which will be reviewed at the discretion of the program committee. -The CONCUR 2020 proceedings will be published by LIPIcs. -Papers must be submitted electronically as PDF files via EasyChair. Papers must not exceed 14 pages (excluding references and clearly marked appendices) using the LIPIcs style. ------------------------------------------------------------- IMPORTANT DATES All dates are AoE, extended because of COVID-19. -Abstract submission: April 28, 2020 -Paper submission: May 6, 2020 -Notification: June 28, 2020 -Camera ready copy: July 17, 2020 -Conference: September 1-4, 2020 ------------------------------------------------------------- SPECIAL ISSUE A special issue dedicated to selected papers from CONCUR 2020 will appear in Logical Methods in Computer Science. ------------------------------------------------------------- ORGANIZATION COMMITTEE Program Co-chairs Igor Konnov - Informal Systems, Austria Laura Kovacs - TU Wien, Austria Workshop Chair Florian Zuleger - TU Wien, Austria Webmaster Thanh-Hai Tran - TU Wien, Austria ------------------------------------------------------------- PROGRAM COMMITTEE Alessandro Abate, University of Oxford Elvira Albert, Universidad Complutense de Madrid Giovanni Bacci, Aalborg University Filippo Bonchi, University of Pisa Patricia Bouyer, CNRS Yu-Fang Chen, Academia Sinica Veronique Cortier, CNRS, Loria Pedro R. D'Argenio, Universidad Nacional de C?rdoba - CONICET Michael Emmi, Amazon Web Services Bernd Finkbeiner, Saarland University Silvio Ghilardi, Universit? degli Studi di Milano Roberto Giacobazzi, University of Verona Rob van Glabbeek, Data61 - CSIRO Alberto Griggio, Fondazione Bruno Kessler Ichiro Hasuo, National Institute of Informatics Sophia Knight, University of Minnesota Igor Konnov, INRIA Nancy (LORIA) Laura Kovacs, TU Wien Antonin Kucera, Masaryk University Marijana Lazic, TU Munich Karoliina Lehtinen, University of Liverpool Kuldeep S. Meel, National University of Singapore Jan Otop, University of Wroclaw Joel Ouaknine, Max Planck Institute for Software Systems (MPI-SWS) Jorge A. P?rez, University of Groningen Tatjana Petrov, University of Konstanz Nir Piterman, University of Gothenburg Giselle Reis, Carnegie Mellon University Philipp Ruemmer, Uppsala University Lutz Schr?der, Friedrich-Alexander-Universit?t Erlangen-N?rnberg Alexandra Silva, University College London Ana Sokolova, University of Salzburg Jun Sun, Singapore Management University Max Tschaikowski, Aalborg University Valeria Vignudelli, CNRS/ENS Lyon Yakir Vizel, The Technion Nobuko Yoshida, Imperial College London Lijun Zhang, Institute of Software, Chinese Academy of Sciences ------------------------------------------------------------- STEERING COMMITTEE Javier Esparza, TU M?nchen, Germany, chair Pedro D'Argenio, National University of Cordoba, Argentina Wan Fokkink, Vrije Universiteit Amsterdam, The Netherlands Joost-Pieter Katoen, RWTH, Germany Catuscia Palamidessi, INRIA and Ecole Polytechnique, France Davide Sangiorgi, University of Bologna, Italy Jiri Srba, Aalborg University, Denmark -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Tue Apr 7 07:57:46 2020 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Tue, 7 Apr 2020 13:57:46 +0200 Subject: Connectionists: [jobs] 3-year postdoc position in machine learning with Prof. Laurenz Wiskott at the Institute for Neural Computation in Bochum, Germany Message-ID: <20200407115746.GD21118@curry.localdomain> ___________________________________________________________________________ Open position for a Postdoc with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ University: The Ruhr-Universit?t Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Chair: Prof. Dr. Laurenz Wiskott, see https://www.ini.rub.de/research/groups/theory_of_neural_systems/ Research topics: We are looking for an outstanding post-doctoral researcher to work at the intersection of model-based reinforcement learning and representation learning, e.g. for navigation and action planing in video game environments. It is envisaged that the postdoc builds up his/her own independent research agenda including grant proposals but maintains close interaction with the groups by Prof. Tobias Glasmachers and Prof. Laurenz Wiskott. Teaching: There is a teaching load of 4 hours per week during the semester. Time: The appointment will be for three years and can be extended if successful. Anticipated starting date is July 1st. Requirements: Candidates should have a recent and excellent PhD in machine learning or a related field with a focus on representation learning and/or reinforcement learning. Salary: Salary is 100% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott . Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to Prof. Laurenz Wiskott . Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged. From valentina.ivanova at ri.se Tue Apr 7 06:58:12 2020 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Tue, 7 Apr 2020 10:58:12 +0000 Subject: Connectionists: ESWC 2020 will be a virtual conference Message-ID: ESWC 2020 will be a virtual conference between the original dates of May 31 and June 4. While we still work out the details, the following is the high-level structure: - The main paper tracks (research, resources and in-use tracks) will be run in an asynchronous fashion, with screencasts from the authors and an online forum for questions and discussions via the website. - We go ahead with the original schedule for the proceedings of the main paper tracks; authors have to register by the end of April. - The updated registration fees will be in-line with other virtual conferences. - The satellite events (workshops, tutorials, posters, demos, the doctoral consortium and the industrial track) will be run in a synchronous fashion, supported by chat and bidirectional audio and video. - We go ahead with the original schedule for the satellite contributions as post-proceedings. - Because we are optimists, we plan a small optional post-conference symposium in Heraklion in the first half of October if the travel restrictions permit. Please plan accordingly. We will provide updates via: - the website - https://2020.eswc-conferences.org/ - Twitter - https://twitter.com/eswc_conf - Facebook - https://www.facebook.com/ESWCCONF From ruben.coen-cagli at einsteinmed.org Tue Apr 7 10:45:38 2020 From: ruben.coen-cagli at einsteinmed.org (Ruben Coen-Cagli) Date: Tue, 7 Apr 2020 14:45:38 +0000 Subject: Connectionists: Postdoc job in New York in computational neuroscience - Fall 2020 Message-ID: The Laboratory for Computational Neuroscience (Coen-Cagli lab) invites applications for a postdoctoral position in the Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (Einstein) in New York City. Our lab studies how biological sensory systems interpret the surrounding environment. We study probabilistic representations of natural images, to understand visual perception and neural activity in visual-cortical populations. We combine theories of probabilistic neural coding, computer vision and machine learning algorithms, psychophysics, and neurophysiology through collaborations. The candidate is expected to perform research related to these topics. Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research, and a keen interest in interdisciplinary approaches to biological and neural systems. Prior experience should include areas such as computational neuroscience, machine learning, computer vision, or statistics. We are particularly interested in applicants with a genuine interest in linking theoretical and computational work to quantitative analysis of neurophysiology data, in the context of a NIH funded project on natural image processing in the visual cortex. The project is a collaboration with the laboratory of Adam Kohn at Einstein, and the fellow will have the opportunity for substantial interactions with the Kohn lab. Einstein offers a vibrant interdisciplinary environment, with a growing systems and computational contingent. It is located in a quiet neighborhood of New York, only a short subway ride from Manhattan. Information about working at the Einstein, including benefits and housing for postdocs, can be found at: https://www.einstein.yu.edu/research/belfer-institute/ The position starts in fall 2020, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to ruben.coencagli at gmail.com. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Albert Einstein College of Medicine is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans. Ruben Coen Cagli, PhD Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From riccardo.guidotti at unipi.it Tue Apr 7 06:34:50 2020 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Tue, 7 Apr 2020 12:34:50 +0200 Subject: Connectionists: XKDD 2020 - Call for Papers Message-ID: XKDD 2020 - Call for Papers ------------------------------------------------------------------------- 2nd International Workshop on eXplainable Knowledge Discovery in Data Mining ------------------------------------------------------------------------- CONTEXT & OBJECTIVES In the past decade, machine learning based decision systems have been widely used in a plethora of applications ranging from credit score, insurance risk, and health monitoring, in which accuracy is of the utmost importance. Although the application of these systems may bring myriad benefits, their use might involve some ethical and legal risks, such as codifying biases; jeopardizing transparency and privacy, reducing accountability. Unfortunately, these risks increase and are made more serious by the opacity of these systems, which often are complex and their internal logic is usually inaccessible to humans. Nowadays most of the Artificial Intelligence (AI) systems are based on machine learning algorithms. The relevance and need of ethics in AI is supported and highlighted by the various initiatives that in the world provide recommendations and guidelines in the direction of making AI-based decision systems explainable and compliant with legal and ethical issues. These include the EU's GDPR regulation which introduces, to some extent, a right for all individuals to obtain ``meaningful explanations of the logic involved'' when automated decision making takes place, the ``ACM Statement on Algorithmic Transparency and Accountability'', the Informatics Europe's ``European Recommendations on Machine-Learned Automated Decision Making'' and ``The ethics guidelines for trustworthy AI'' provided by the EU High-Level Expert Group on AI. The challenge to design and develop trustworthy AI-based decision systems is still open and requires a joint effort across technical, legal, sociological and ethical domains. The purpose of XKDD, eXaplaining Knowledge Discovery in Data Mining, is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining and machine learning. The workshop will seek top-quality submissions addressing uncovered important issues related to ethical, explainable and transparent data mining and machine learning. Papers should present research results in any of the topics of interest for the workshop as well as application experiences, tools and promising preliminary ideas. XKDD asks for contributions from researchers, academia, and industries, working on topics addressing these challenges primarily from a technical point of view, but also from a legal, ethical or sociological perspective. Topics of interest include, but are not limited to: TOPICS - Explainable Artificial Intelligence - Interpretable Machine Learning - Transparent Data Mining - Explainability in Clustering Analysis - Technical Aspects of Algorithms for Explanation - Explaining Black Box Decision Systems - Adversarial Attack-based Models - Counterfactual and Prototype-based Explanations - Causal Discovery for Machine Learning Explanation - Fairness Checking - Fair Machine Learning - Explanation for Privacy Risk - Ethics Discovery for Explainable AI - Privacy-Preserving Explanations - Transparent Classification Approaches - Anonymity and Information Hiding Problems in Comprehensible Models - Case Study Analysis - Experiments on Simulated and Real Decision Systems - Monitoring and Understanding System Behavior - Privacy Risk Assessment - Privacy by Design Approaches for Human Data - Statistical Aspects, Bias Detection and Causal Inference - Explanation, Accountability and Liability from an Ethical and Legal Perspective - Benchmarking and measuring explanation - Visualization-based explanations - Iterative dialogue explanations SUBMISSION & PUBLICATION All contributions will be reviewed by at least three members of the Program Committee. As regards size, contributions can be up to 16 pages in LNCS format, i.e., the ECML PKDD 2020 submission format. All papers should be written in English and be in LNCS format. The following kinds of submissions will be considered: research papers, tool papers, case study papers, and position papers. Detailed information on the submission procedure are available at the workshop web page: https://kdd.isti.cnr.it/xkdd2020/ Accepted papers will be published after the workshop by Springer in a volume of Lecture Notes in Computer Science (LNCS). Condition for inclusion in the post-proceedings is that at least one of the co-authors has presented the paper at the workshop. Pre-proceedings will be available online before the workshop. We also allow accepted papers to be presented without publication in the conference proceedings, if the authors choose to do so. Some of the full paper submissions may be accepted as short papers after review by the Program Committee. A special issue of a relevant international journal with extended versions of selected papers is under consideration. The submission link is the following: https://easychair.org/conferences/?conf=xkdd2020 IMPORTANT DATES Paper Submission deadline: Tuesday, 9 June, 2020 Accept/Reject Notification: Tuesday, 7 July, 2020 Camera-ready deadline: Tuesday, 21 July, 2020 Workshop: Monday, 14 September, 2020 PROGRAM CO-CHAIRS * Riccardo Guidotti, University of Pisa, Italy * Anna Monreale, University of Pisa, Italy * Salvatore Rinzivillo, ISTI-CNR, Pisa, Italy * Przemyslaw Biecek, Warsaw University of Technology, Poland PROGRAM COMMITTEE Livio Bioglio Francesco Bonchi Chaofan Chen Miguel Couceiro Boxiang Dong Luis Gal?rraga Aristides Gionis Thibault Laugel Freddy Lecue Christoph Molnar Cecilia Panigutti Francesca Pratesi Dominik ?l?zak Vicenc Torra Grigorios Tsoumakas Franco Turini ... TBD CONTACT All inquires should be sent to xkdd2020 at easychair.org -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at di.unipi.it Web: http://kdd.isti.cnr.it/homes/guidotti/ KDD Lab, Room: 286 Phone: +39 050 221 3134 -------------- next part -------------- An HTML attachment was scrubbed... URL: From benjamin.lindner at physik.hu-berlin.de Wed Apr 8 16:48:56 2020 From: benjamin.lindner at physik.hu-berlin.de (Benjamin Lindner) Date: Wed, 8 Apr 2020 22:48:56 +0200 Subject: Connectionists: The Electrosensory Cocktail Party Problem - PhD position at Bernstein Center Berlin & Humboldt University (Physics Dep.) available Message-ID: *Weakly nonlinear interactions in an electrosensory cocktail party problem* Within the DFG priority program "Evolutionary Optimisation of Neuronal Processing", we are looking for a PhD candidate to work on the detection of weak signals in the presence of much stronger distractors, a joint project with the experimental lab of Jan Benda (University Tubingen, Germany). The 'cocktail party problem' is here regarded as a general theoretical problem and will be explored by the successful candidate by means of analytical calculations and numerical simulations of stochastic models of spiking neurons. Beyond pursuing purely theoretical approaches, the main goal of this project is to understand weakly nonlinear interactions specifically in the electrosensory system of weakly electric fish, an experimental model system of the Benda lab. In order to get an idea about similar approaches pursued in the past, have a look at some of the joint publications of the Benda lab and the Lindner group: Fisch et al.? J. Neurosci. 32, 17332 (2012) Sharafi et al.? J. Comp. Neurosci.? 34 , 285 (2013) Grewe et al.? PNAS 114 E1977 (2017) The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills, team spirit, and, last but not least, great enthusiasm for interdisciplinary projects. Funding is provided for three years, starting within the next three months. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to me benjamin.lindner at physik.hu-berlin.de (cc to nikola.schrenk at bccn-berlin.de) The deadline for applications is April 26, 2020, however, later applications might also be considered. Kind regards, Benjamin Lindner -------------------------------------------------------------------------------------------------------------------- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 6336 Department of Physics Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.408, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html -------------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Tue Apr 7 23:31:34 2020 From: jonizhong at msn.com (Joni Zhong) Date: Wed, 8 Apr 2020 03:31:34 +0000 Subject: Connectionists: [CFP] Human-in-the-loop Machine Learning and Its Applications - SMC2020 Message-ID: CFP: SMC 2020 Special Session: Human-in-the-loop Machine Learning and Its Applications Link: https://jonizhong.weebly.com/smc2020.html Toronto, Canada, OCT 11-14, 2020 Deadline: April 30, 2020 ==COVID-19 UPDATE== We will be closely following the update of COVID-19 and organizing plan of SMC 2020. Dear all, We would like to cordially invite you to submit a paper for the Special Session ?Human-in-the-loop Machine Learning and Its Applications? in the IEEE International Conference on Systems, Man, and Cybernetics 2020, held on Oct 11-14, 2020, in Toronto Canada. Human-in-the-Loop (HIL) means including human feedback into the training loop of the machine learning models in order to facilitate the following requirements: 1) to improve the quality of training and reduce/prevent the error of the model. When the testing error is larger than a certain threshold, the HIL learning model is able to obtain the new data-points from the users in an interactive way. 2) to incorporate the human user labelling to improve the pre-trained models. During the training of the state-of-the-art models, the quality of the training data-sets is extremely important. One solution to actively incorporate more data is optimizing the models by including the human users? feedback (e.g. rewards in RL) or new data-points (e.g. supervised learning) to adapt the pre-trained models in different environments. In the aforementioned requirements, humans are involved in the training process of the algorithms by continuously optimizing the model?s parameters, feeding the data or even adjusting the model itself by meta-learning. From the perspective of algorithm design, a key problem to design a proper training with a human in the loop is how to leverage both active learning from a human and the optimization of the models. In other words, how can we design a proper query strategy depending on different applications and scenarios? When properly implemented, the HIL is suitable to be applied in real-world applications where the data is sparse. The active learning mechanism built in the model can be helpful which could seek the human?s help in a form of supervised or reinforcement learning. In this way, proper designs of interactive displays, machines and robots could be of help to obtain the human?s inputs. Specifically, we are particularly encouraging robotic applications and their experimental deployment using HIL algorithms. We believe that the HIL algorithms will be an effective method to make robotic platforms more adaptive and safer to interact with. The workshop will offer the opportunity for researchers and practitioners in the diverse field where human reinforcement feedback would have a positive impact on the training processes. The inclusion of HIL would allow robots and machine learning models to use both internal and external feedback to speed up the learning process and also improve its performance. In many ways, this could allow the models to learn through their own self-reflection as well as the external input from a human. Topics of interest include, but are not limited to: Human Guided Reinforcement Learning; Human-robot Collaboration; Human-robot Social Interaction; Dialogue Systems with Human-in-the-loop; Interpretable Machine Learning with Human-in-the-loop; Active Learning and Continuous Learning; Learning by Demonstration; Human Factors in HCI/HRI, etc. Important Dates: - Deadline for Submission: April 30, 2020 - Acceptance Notification: May 10, 2020 - Conference Dates: Oct 11-14, 2020. Organizers: Joni Zhong, Nottingham Trent University, UK Mark Elshaw, Coventry University, UK Yanan Li, University of Sussex, UK Stefan Wermter, University of Hamburg, Germany Xiaofeng Liu, Hohai University, China -------------- next part -------------- An HTML attachment was scrubbed... URL: From malini.vinita.samarasinghe at ini.rub.de Wed Apr 8 06:17:14 2020 From: malini.vinita.samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Wed, 8 Apr 2020 12:17:14 +0200 Subject: Connectionists: Cheng lab - Two PhD positions in Computational Neuroscience Message-ID: Sen Cheng, at the Institute for Neural Computation, Ruhr University Bochum, is looking to fill two PhD positions. Both are funded for 3 years and start as soon as possible. The positions are in the field of computational neuroscience and excellent programming skills are mandatory. 1.The successful candidate will study the function of episodic memory in spatial navigation and time series prediction using computational modeling. This research builds on a computational model that was developed in the research group. The model incorporates a virtual environment and machine learning methods such as reinforcement learning, and deep neural networks. This model should be extended to enable the use of episodic memory in reinforcement learning. https://www.stellenwerk-bochum.de/jobboerse/wissenschaftl-mitarbeiterin-wiss-mitarbeiter-mwd-2588-stdwoche-3-jahre-bo-2020-03-27-307326 2. The successful candidate will develop and study computational models of episodic memory and spatial navigation. The models will be based on biologically plausible spiking neurons and will account for the generation and learning of complex behaviors. The research focus will be on modeling the influence of neuro- and psychopathologies on observable behavior. https://www.stellenwerk-bochum.de/jobboerse/wissenschaftl-mitarbeiterin-wiss-mitarbeiter-mwd-2588-stdwoche-3-jahre-bo-2020-03-27-307328 The deadline for applications is 30.04.2020 23:59 CEST. For further details regarding the positions and instructions on how to apply please follow the given links. English versions of the postings can also be found at: https://www.ini.rub.de/the_institute/jobs/ Please quote the job number when applying. We look forward to hearing from you! Kind regards, -- 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 27316 Email:samarasinghe at ini.rub.de -- 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 27316 Email: samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Thu Apr 9 19:13:57 2020 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 09 Apr 2020 16:13:57 -0700 Subject: Connectionists: NEURAL COMPUTATION - April 1, 2020 In-Reply-To: Message-ID: Neural Computation - Volume 32, Number 4 - April 1, 2020 Available online for download now: http://www.mitpressjournals.org/toc/neco/32/4 http://cognet.mit.edu/content/neural-computation ----- Article Centre Manifold Analysis of Plateau Phenomena Caused by Degeneration of Three-layer Perceptron Daiji Tsutsui Letters Neural Model of Coding Stimulus Orientation and Adaptation Henrikas Vaitkevicius, Algimantas Svegzda, Rytis Stanikunas, Remigijus Bliumas, Alvydas Soliunas, and Janus J. Kulikowski Feature Extraction of Surface Electromyography Based on Improved Small-World Leaky Echo State Network Xugang Xi, Wenjun Jiang, Seyed M. Miran, Xian Hua, Yun-Bo Zhao, Chen Yang, and Zhizeng Luo online Learning Based on Online DCA and Application to Online Classification Hoai An Le Thi, Vinh Thanh Ho Optimal Multivariate Tuning With Neuron-Level and Population-Level Energy Constraints Yuval Harelc, Ron Meir ------------ 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 cgf at isep.ipp.pt Thu Apr 9 10:09:19 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Thu, 9 Apr 2020 15:09:19 +0100 Subject: Connectionists: =?utf-8?q?CFP=3A_SoGood_2020_=E2=80=93_5th_Worksh?= =?utf-8?q?op_on_Data_Science_for_Social_Good_=28_ECML-PKDD_2020=29?= Message-ID: Call for Papers SoGood 2020 ? 5th Workshop on Data Science for Social Good Affiliated with ECML-PKDD 2020, 14-18 September 2020,https://ecmlpkdd2020.net/ Workshop site:https://sites.google.com/view/ecmlpkddsogood2020/ This is the fifth edition of the workshop; the previous workshops were held jointly with ECML-PKDD 2016, 2017, 2018 and 2019 The possibilities of Data Science for contributing to social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models" or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of social impact of the application. This workshop aims to attract papers presenting applications of Data Science for Social Good (which may, or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes: * Government transparency and IT against corruption * Public safety and disaster relief * Public policies in epidemic growth and related issues * Access to food, water and utilities * Efficiency and sustainability * Data journalism * Economic, social and personal development * Transportation * Energy * Smart city services * Education * Social services, unemployment and homelessness * Healthcare * Ethical issues, fairness and accountability * Trustability and interpretability * Topics aligned with the UN development goals: http://www.un.org/sustainabledevelopment/sustainable-development-goals/ The major selection criteria will be the novelty of the application and its social impact. We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organisations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects, which may not be strictly "non-profit" but have Social Good as their main focus. There will be an award for the best paper. Paper submission: Authors should submit a PDF version in Springer LNCS style using the workshop EasyChair site:https://easychair.org/my/conference?conf=sogood2020. The maximum length of papers is 16 pages, consistent with the ECML PKDD conference submissions. Submitting a paper to the workshop means that if the paper is accepted, at least one author will attend the workshop and present the paper. Papers not presented at the workshop will not be included in the proceedings. In light of COVID-19, we will follow ECML PKDD?s policy for attendance and presentation (face-to-face, virtual or hybrid). ECML PKDD is considering contingency plans and will announce its final decision before the early registration deadline (second half of July). Paper publication: The proceedings of the workshop will be published either by Springer as a Lecture Notes volume or by CEUR in their workshop proceedings series (http://ceur-ws.org/). Selected workshop papers will be invited for extension and submission to a special journal issue. Workshop format: * Full-day workshop * 1-2 keynote talks, speakers to be announced * Oral presentation of accepted papers * Panel discussion with the audience Important Dates: * Workshop paper submission deadline: June 11, 2020 * Workshop paper acceptance notification: July 2, 2020 * Workshop paper camera-ready deadline: July 16, 2020 * Workshop: September 14 or 18, 2020 (TBC) Program Committee members (more to be added): * Carlos Ferreira, ISEP, Portugal * Marta Arias, UPC BarcelonaTech, Spain * Albert Bifet, Telecom ParisTech, France * Jos? del Campo-?vila, University of Malaga, Spain * Hau Chan, University of Nebraska-Lincoln * Itziar de Lecuona, University of Barcelona, Spain * Yann-Ael Le Borgne, University Libre Bruxelles * Jos? del Campo, University of M?laga, Spain * Jeremiah Deng, University of Otago, New Zealand * C?sar Ferri, Technical University of Valencia, Spain * Geoffrey Holmes, University of Waikato, New Zealand * Konstantin Kutzkov, Amalfi Analytics, Spain * Josep-Llu?s Larriba-Pey, UPC BarcelonaTech, Spain * Rafael Morales-Bueno, University of M?laga, Spain * Nuno Moniz, INESC TEC, Porto, Portugal * Ana Nogueira, INESC TEC, Porto, Portugal * Alexandra Olteanu, Microsoft Research, USA * Panagiotis Papapetrou, Stockholm University, Sweden * Maria Pedroto, INESC TEC, Porto, Portugal * Sonia Teixeira, INESC TEC, Porto, Portugal * Emma Tonkin, University of Bristol, UK * Alicia Troncoso, University Pablo de Olavide, Spain * Evgueni Smirnov, University of Maastricht, The Netherlands * Kristina Yordanova, University of Rostock, Germany * Mart? Zamora, UPC BarcelonaTech, Spain Organizers: * Ricard Gavald? (UPC BarcelonaTech, Spain),gavalda at cs.upc.edu * Irena Koprinska (University of Sydney, Australia),irena.koprinska at sydney.edu.au * Jo?o Gama (University of Porto, Portugal),jgama at fep.up.pt * Rita Ribeiro (University of Porto, Portugal),rpribeiro at fc.up.pt Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From huajin.tang at gmail.com Thu Apr 9 22:30:05 2020 From: huajin.tang at gmail.com (Huajin Tang) Date: Fri, 10 Apr 2020 10:30:05 +0800 Subject: Connectionists: Vacancies for Principle Investigator/Research Scientist/Postdoc/Research Engineer at Zhejiang Lab, Hangzhou, China Message-ID: Dear Colleagues, Zhejiang Lab, jointly established by Zhejiang Province, Zhejiang University and Alibaba Group, is a national-level research institute ( www.zhejianglab.com). It has set up a new research center focused on brain-inspired computing. Zhejiang lab provides world-class research facilities, cross-disciplinary working environment and career development opportunities with competitive salary package. Applications are considered immediately to fill in the positions at various levels including Princinple Investigator/Research Scientist/Postdoc/Research Engineer, in the following areas: (1) neuromorphic computing, brain-inspired computing/spiking neural networks, machine/deep learning, (2) neuromorphic hardware and software system design and applications, (3) robotics or embedded intelligence. Interested applicants are invited to apply through Zhejiang Lab website www.zhejianglab.com or write to Prof. Huajin Tang (h uajin.tang at gmail.com). Sincerely, Huajin Tang Professor Zhejiang University, Hangzhou, China https://person.zju.edu.cn/htang -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Thu Apr 9 12:15:42 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Thu, 9 Apr 2020 18:15:42 +0200 Subject: Connectionists: VISMAC 2020 PhD Summer School - UPDATES in relation to COVID-19 Message-ID: <5e2d31f9-5ed2-bc36-7439-463143a29d45@unifi.it> *** UPDATES in relation to COVID-19 (Coronavirus) *** Call for Participation - VISMAC2020 === Apologies for multiple posting === Please distribute this call to interested parties ____________________________________________ V I S M A C (VISione delle MACchine) [in English, "Machine Vision"] International Summer School September 29th - October 2nd, Palermo, Italy https://math.unipa.it/~vismac2020 ____________________________________________ === UPDATES regarding COVID-19 (coronavirus) === VISMAC2020 is half a year away and hopefully the COVID-19 emergency will be over by then. Otherwise the option of postponing VISMAC2020 will be considered, as the safety and well-being of all participants has the highest priority. Further updates will be discussed later. === Aim & Scope === The international summer school VISMAC "VISione delle MACchine" (in English, "Machine Vision") is organized every two years by the "Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning" (CVPL - ex-GIRPR) affiliated to International Association for Pattern Recognition (IAPR). It represents a stimulating opportunity for doctoral students, young researchers from universities, research institutions and industry. The primary objective of the Summer School is to provide a common scientific and cultural background on the subjects of computer vision and pattern recognition. This edition of VISMAC will mainly focus on four renowned research topics: Bio-imaging, Automotive, Cultural Heritage, Image forensics. === List of Speakers === Bio-imaging - Carlo Sansone, UNINA Federico II - Elena Casiraghi, UNIMI - Paolo Soda, UCBM - Francesco Tortorella, UNISA Automotive - Alberto Broggi, UNIPR - Sergio Saponara, UNIPI - Roberto Vezzani, UNIMORE - Alessandro Rizzi, UNIMI Cultural Heritage - Gabriele Guidi, POLIMI - Carlo Colombo, UNIFI - Andrea Fusiello, UNIUD - Francesca Odone, UNIGE Image forensics - Francesco De Natale, UNITN - Gian Luca Marcialis, UNICA - Luisa Verdoliva, UNINA Federico II - Jerian Martino, Amped Software === Registration === Early registration fee (by May 31, 2020): - CVPL members: 500 euros - non CVPL members: 550 euros Late registration fee: - CVPL members: 600 euros - non CVPL members: 650 euros The fee includes: - accommodation in double or triple rooms (possible supplement for single rooms). - social dinner - coffee breaks - learning materials School registrations are limited to forty participants, on a FIFS basis. Accepted students can submit a poster to present their research activity. The best poster selected by the school committee will receive a prize sponsored by CVPL. --- Registration form is available at --- https://forms.gle/5q2AJfdbW6Jz1eKU8 Further registration info and poster guidelines will come soon. === Scientific Committee === - Domenico Tegolo, UNIPA - Cesare Valenti, UNIPA - Roberto Pirrone, UNIPA - Filippo Stanco, UNICT === Local Committee === - Marco E. Tabacchi, UNIPA - Fabio Bellavia, UNIPA === Sponsors === - CVPL (ex-GIRPR) - Associazione Italiana per la ricerca in Computer Vision, Pattern recognition e machine Learning - Universita' degli Studi di Palermo - Universita' degli Studi di Catania - CTC - Centro Interdipartimentale di Tecnologie della Conoscenza, Universita' degli Studi di Palermo - DMI - Dipartimento di Matematica e Informatica, Universita' degli Studi di Palermo ____________________________________________ Contacts https://math.unipa.it/~vismac2020 vismac2020 at gmail.com From riccardo.guidotti at unipi.it Fri Apr 10 09:41:52 2020 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Fri, 10 Apr 2020 15:41:52 +0200 Subject: Connectionists: XKDD 2020 - Call for Papers Message-ID: XKDD 2020 - Call for Papers ------------------------------------------------------------------------- 2nd International Workshop on eXplainable Knowledge Discovery in Data Mining ------------------------------------------------------------------------- CONTEXT & OBJECTIVES In the past decade, machine learning based decision systems have been widely used in a plethora of applications ranging from credit score, insurance risk, and health monitoring, in which accuracy is of the utmost importance. Although the application of these systems may bring myriad benefits, their use might involve some ethical and legal risks, such as codifying biases; jeopardizing transparency and privacy, reducing accountability. Unfortunately, these risks increase and are made more serious by the opacity of these systems, which often are complex and their internal logic is usually inaccessible to humans. Nowadays most of the Artificial Intelligence (AI) systems are based on machine learning algorithms. The relevance and need of ethics in AI is supported and highlighted by the various initiatives that in the world provide recommendations and guidelines in the direction of making AI-based decision systems explainable and compliant with legal and ethical issues. These include the EU's GDPR regulation which introduces, to some extent, a right for all individuals to obtain ``meaningful explanations of the logic involved'' when automated decision making takes place, the ``ACM Statement on Algorithmic Transparency and Accountability'', the Informatics Europe's ``European Recommendations on Machine-Learned Automated Decision Making'' and ``The ethics guidelines for trustworthy AI'' provided by the EU High-Level Expert Group on AI. The challenge to design and develop trustworthy AI-based decision systems is still open and requires a joint effort across technical, legal, sociological and ethical domains. The purpose of XKDD, eXaplaining Knowledge Discovery in Data Mining, is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining and machine learning. The workshop will seek top-quality submissions addressing uncovered important issues related to ethical, explainable and transparent data mining and machine learning. Papers should present research results in any of the topics of interest for the workshop as well as application experiences, tools and promising preliminary ideas. XKDD asks for contributions from researchers, academia, and industries, working on topics addressing these challenges primarily from a technical point of view, but also from a legal, ethical or sociological perspective. Topics of interest include, but are not limited to: TOPICS - Explainable Artificial Intelligence - Interpretable Machine Learning - Transparent Data Mining - Explainability in Clustering Analysis - Technical Aspects of Algorithms for Explanation - Explaining Black Box Decision Systems - Adversarial Attack-based Models - Counterfactual and Prototype-based Explanations - Causal Discovery for Machine Learning Explanation - Fairness Checking - Fair Machine Learning - Explanation for Privacy Risk - Ethics Discovery for Explainable AI - Privacy-Preserving Explanations - Transparent Classification Approaches - Anonymity and Information Hiding Problems in Comprehensible Models - Case Study Analysis - Experiments on Simulated and Real Decision Systems - Monitoring and Understanding System Behavior - Privacy Risk Assessment - Privacy by Design Approaches for Human Data - Statistical Aspects, Bias Detection and Causal Inference - Explanation, Accountability and Liability from an Ethical and Legal Perspective - Benchmarking and measuring explanation - Visualization-based explanations - Iterative dialogue explanations SUBMISSION & PUBLICATION All contributions will be reviewed by at least three members of the Program Committee. As regards size, contributions can be up to 16 pages in LNCS format, i.e., the ECML PKDD 2020 submission format. All papers should be written in English and be in LNCS format. The following kinds of submissions will be considered: research papers, tool papers, case study papers, and position papers. Detailed information on the submission procedure are available at the workshop web page: https://kdd.isti.cnr.it/xkdd2020/ Accepted papers will be published after the workshop by Springer in a volume of Lecture Notes in Computer Science (LNCS). Condition for inclusion in the post-proceedings is that at least one of the co-authors has presented the paper at the workshop. Pre-proceedings will be available online before the workshop. We also allow accepted papers to be presented without publication in the conference proceedings, if the authors choose to do so. Some of the full paper submissions may be accepted as short papers after review by the Program Committee. A special issue of a relevant international journal with extended versions of selected papers is under consideration. The submission link is the following: https://easychair.org/conferences/?conf=xkdd2020 IMPORTANT DATES Paper Submission deadline: Tuesday, 9 June, 2020 Accept/Reject Notification: Tuesday, 7 July, 2020 Camera-ready deadline: Tuesday, 21 July, 2020 Workshop: Monday, 14 September, 2020 PROGRAM CO-CHAIRS * Riccardo Guidotti, University of Pisa, Italy * Anna Monreale, University of Pisa, Italy * Salvatore Rinzivillo, ISTI-CNR, Pisa, Italy * Przemyslaw Biecek, Warsaw University of Technology, Poland PROGRAM COMMITTEE Osbert Bastani Livio Bioglio Francesco Bonchi Giuseppe Casalicchio Chaofan Chen Mark Cot? Miguel Couceiro Boxiang Dong Alex Freitas Luis Gal?rraga Aristides Gionis Thibault Laugel Pasquale Minervini John Mollas Christoph Molnar Cecilia Panigutti Andr?s Pataricza Francesca Pratesi Xavier Renard Dylan Slack Dominik Slezak Vicenc Torra Grigorios Tsoumakas Franco Turini CONTACT All inquires should be sent to xkdd2020 at easychair.org -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at di.unipi.it Web: http://kdd.isti.cnr.it/homes/guidotti/ KDD Lab, Room: 286 Phone: +39 050 221 3134 -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Fri Apr 10 09:03:22 2020 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Fri, 10 Apr 2020 15:03:22 +0200 Subject: Connectionists: ISWC 2020 - EXTENDED Deadlines Message-ID: # COVID-19 and ISWC 2020 As previously announced, the ISWC Organizing Committee, together with the Semantic Web Science Association (SWSA), has decided that ISWC 2020 will be a ** virtual conference **. Our primary concern is the health and wellbeing of our community members and the challenging circumstances that might be directly affecting them. # EXTENDED DEADLINES Following this earlier announcement, the ISWC organising commitee has, after careful deliberation, decided to extend the deadline for the Research, Resource and In-Use tracks. The updated schedule is as follows: Deadline for submission of abstracts: May 15 Deadline for submission of full papers: May 22 Author Rebuttals: July 13 - 16 Paper notifications: August 3 Please see [1] for general information and [2] for the full updated schedule. [1] https://iswc2020.semanticweb.org [2] https://iswc2020.semanticweb.org/dates/ From irodero at rutgers.edu Sun Apr 12 11:20:05 2020 From: irodero at rutgers.edu (Ivan Rodero) Date: Sun, 12 Apr 2020 15:20:05 +0000 Subject: Connectionists: State of the Journal | IEEE Transactions on Parallel and Distributed Systems Newsletter In-Reply-To: <49A33B98-691C-4497-B2D6-6FDB3FBB497A@rutgers.edu> References: <950285C5-18D5-413B-9B8E-F9BD5D527034@rutgers.edu> <49A33B98-691C-4497-B2D6-6FDB3FBB497A@rutgers.edu> Message-ID: <440BF00F-8173-4735-8AD3-B0791516132C@ored.rutgers.edu> IEEE TPDS Newsletter // March 2020 View in browser ? [IEEE Computer Society and Newsletter Logos] TPDS CONFERENCES CALL FOR PAPERS CSDL State of the Journal TPDS continues to be one of the healthiest IEEE Transactions. A total of 987 submissions (666 original) were received in 2019. Over 606 submissions were received in 2019. Submissions are processed efficiently, while maintaining a rigorous evaluation process for excellent research of the highest quality. Learn more about the journal as well as the activities and initiatives listed below. Sincerely, TPDS EIC, Manish Parashar ________________________________ Reproducibility Initiative Reproducibility is at the core of solid scientific and technical research. The ability to repeat the research that is produced is a key approach for confirming the validity of a new scientific discovery. The TPDS Reproducibility Initiative currently focuses on reproducible research through transparency and the availability and potential reuse of code and data. Authors who have published in TPDS can make their published article more reproducible and earn a reproducibility badge by submitting their associated code for post-publication peer review. Learn more. ________________________________ Call for Supplemental Papers Evaluating Reproducibility The TPDS reproducibility initiative invites authors willing to submit supplemental papers that present their experiences in replicating published results using the artifacts and/or evaluations or experiences with published artifacts. These supplemental paper submissions will be reviewed, and if accepted, they will be linked to the original publication and will be citable. Learn more. ________________________________ TPDS Awards for Editorial Excellence IEEE TPDS Awards for Editorial Excellence, established on 2019, recognizes exceptional contributions by members of the TPDS Editorial Board. The award is awarded based on factors such as the number of papers handled in the past year, turnaround time, and review quality. The winners of the 2020 IEEE TPDS Award for Editorial Excellence: * Shuibing He, Zhejiang University, China * Dimitrios S. Nikolopoulos, Virginia Tech., USA * Yun Yang, Swinburne University, Australia * Weikuan Yu, Florida State University, USA * Jidong Zhai, Tsinghua University, China * Jianfeng Zhan, Chinese Academy of Sciences, China The winners of the inaugural 2019 IEEE TPDS Award for Editorial Excellence: * Pavan Balaji, Argonne National Laboratory, USA * Anne Benoit, LIP, ENS Lyon, France * Alba Cristina Magalhaes Alves de Melo, University of Brasilia, Brazil * Bingsheng He, National University of Singapore, Singapore * Radu Prodan, Institute of Information Technology, University of Klagenfurt, Austria ________________________________ Special Sections We are seeing rapid and often dramatic changes in the research and technology landscapes in our field, and TPDS needs to respond to this dynamic and rapidly evolving publication landscape. Learn more. Upcoming special sections include: * Parallel and Distributed Computing Techniques for Artificial Intelligence, Machine Learning and Deep Learning. (Submissions now open. Deadline 1 July.) * Parallel and Distributed Computing and Post-Moore Technologies * Parallel and Distributed Computing Techniques for Carbon-Neutral Computing We welcome your suggestions for other possible focus areas. Each special section will have a call for papers, and the expected time from paper submission to online publication is six months. ________________________________ TPDS Review Board The TPDS Review Board will complement its "Editorial Board" in performing timely and high-quality reviewing for the international research community. Its mission is to achieve the following: 1. provide a pool of high-quality reviewers for TPDS; 2. support the development of the next generation of leaders for TPDS; and 3. recognize the contribution of high-quality reviewing to TPDS. This global pandemic is a unique challenge that has impacted many members of the IEEE CS family. These are difficult times, but we will get through them by working together. Thank you for your support of our shared mission to advance technology for humanity. -- ============================================================= Ivan Rodero, Ph.D. Associate Research Professor Rutgers Discovery Informatics Institute (RDI2) Rutgers, The State University of New Jersey Office: CoRE Bldg, Rm 624 96 Frelinghuysen Road, Piscataway, NJ 08854-8019 ============================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: TPDS_logo1200x293.png Type: image/png Size: 77540 bytes Desc: TPDS_logo1200x293.png URL: From vassilisvas at gmail.com Mon Apr 13 05:25:35 2020 From: vassilisvas at gmail.com (Vassilis Vassiliades) Date: Mon, 13 Apr 2020 12:25:35 +0300 Subject: Connectionists: [jobs] PhD Fellowships at RISE Cyprus / Deadline: April 20, 2020 Message-ID: Dear colleagues, We are accepting applications for doctoral student fellowships at the Research Centre on Interactive Media, Smart Systems, and Emerging Technologies (RISE), located in sunny Nicosia, CYPRUS. RISE?s Doctoral Training Program (DTP) aims to provide the best possible experience of impactful collaboration, following best practices from across Europe. RISE?s DTP is a far more valuable and engaging experience compared to working only with an individual supervisor or a small group in a University. The RISE DTP experience provides a collaborative cohort environment, in addition to offering a wide range of projects, research and innovation activities and training opportunities fostering knowledge transfer and student engagement with the wider community and the partner institutions. For more information regarding applications and thematic areas please visit: http://www.rise.org.cy/en-gb/vacancies/job-listings/phd-fellowships-rise-doctoral-training-program/ Please help us spread the word to any interested students. Regards, Vassilis Vassiliades -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Mon Apr 13 07:43:57 2020 From: Francesco.Rea at iit.it (Francesco Rea) Date: Mon, 13 Apr 2020 11:43:57 +0000 Subject: Connectionists: AVHRC 2020 - Active Vision and perception in Human(-Robot) Collaboration Workshop @RO-MAN 2020 - THE 29TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION Message-ID: <09feddf53ac14cbb9178f41f52f62c26@iit.it> AVHRC 2020 - Active Vision and perception in Human(-Robot) Collaboration Workshop @RO-MAN 2020 - THE 29TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION NAPLES, ITALY, FROM AUGUST 31 TO SEPTEMBER 4, 2020. Key Dates ========= Submission opening: May 1, 2020 Submission deadline: June 25, 2020 Notification: July 15, 2020 Camera ready July 30, 2020 Workshop: August 31, 2020 **Workshop website: *** Under construction. **Submission website: *** Not available yet Publication ============ All accepted papers will be published on the workshop website. Selected papers will be published in a dedicated special issue of a high quality open access journal, e.g. Frontiers in Neurorobotics. A best paper award will be announced, offering a full publication fee waiver. Submission Guidelines ===================== Two types of submissions are invited to the workshop: long papers (6 to 8 pages + n references pages) and short papers (2-4 pages + n references pages). In both cases there is no page limit for the bibliography/references (n pages) section. All submissions should be formatted according to the standard IEEE RAS Formatting Instructions and Templates available at http://ras.papercept.net/conferences/support/tex.php. Authors are required to submit their papers electronically in PDF format. At least one author of each accepted paper must register for the workshop. For any questions regarding paper submission, please email us: dimitri.ognibene at gmail.com Presentation ============== Papers will be presented in short talks and/or poster spotlights. The organisers would like to reassure authors that, independently of any potential restriction due to the COVID-19 situation, it will be possible to present all accepted papers and to attend the keynotes, either in person or remotely, following the same rules and the same procedure of the main conference. At what is a difficult time for many people, we look forward to sharing our work with the community despite any restrictions and we invite interested colleagues to join us. More information can be found here: http://ro-man2020.unina.it/announcements.php Topics ======== Active perception for intention and action prediction Activity and action recognition in the wild Active perception for social interaction Active perception for (collaborative) navigation Human-robot collaboration in unstructured environments Human-robot collaboration in presence of sensory limits Joint human-robot search and exploration Testing setup for social perception in real or virtual environments Setup for transferring active perception skills from humans to robots Machine learning methods for active social perception Benchmarking and quantitative evaluation with human subject experiments Gaze-based factors for intuitive human-robot collaboration Active perception modelling for social interaction and collaboration Head-mounted eye tracking and gaze estimation during social interaction Estimation and guidance of partner situation awareness and attentional state in human-robot collaboration Multimodal social perception Adaptive social perception Egocentric vision in social interaction; Explicit and implicit sensorimotor communication; Social attention; Natural human-robot (machine) interaction; Collaborative exploration; Joint attention; Multimodal social attention; Attentive activity recognition; Belief and mental state attribution in robots Background ============= Humans naturally interact and collaborate in unstructured social environments, which produce an overwhelming amount of information and may yet hide behaviorally relevant variables. Finding the underlying design principles that allow humans to adaptively find and select relevant information is important for Robotics but also other fields, such as Computational Neuroscience, Interaction Design, and Computer Vision. Current solutions address specific domains, e.g. autonomous cars, and usually employ over-redundant, expensive, and computationally demanding sensory systems that attempt to cover the wide set of environmental conditions which the systems may have to deal with. Adaptive control of the sensors and of the perception process is a key solution found by nature to cope with such problems, as shown by the foveal anatomy of the eye and its high mobility. Alongside this interest in "active" vision, collaborative robotics has recently progressed to human-robot interaction in real manufacturing processes. Measuring and modelling task-specific gaze behaviours seems to be essential for smooth human-robot interaction. Indeed, anticipatory control for human-in-the-loop architectures, which can enable robots to proactively collaborate with humans, relies heavily on observing the gaze and actions patterns of the human partner. We would like to solicit manuscripts that present novel computational and robotic models, theories and experimental results as well as reviews relevant to these topics. Submissions will further our understanding of how humans actively control their perception during social interaction and in which conditions they fail, and how these insights may enable natural interaction between humans and artificial systems in non-trivial conditions. Organizers ================== Main organizer: Dimitri Ognibene, University of Essex, UK & University of Milano-Bicocca, Italy Communication Organisers: Francesco Rea, Instituto Italiano di Tecnologia, Italy Francesca Bianco,University of Essex, UK Vito Trianni, ISTC-CNR, Italy Ayse Kucukyilmaz, University of Nottingham, UK Review Organisers: Angela Faragasso, The University of Tokyo, Japan Manuela Chessa, University of Genova Fabio Solari, University of Genova David Rudrauf, University of Geneve, Switzerland Yan Wu, Robotics Department, Institute for Infocomm Research, A*STAR, Singapore Publication Organisers: Fiora Pirri, Sapienza - University of Rome, Italy Letizia Marchegiani, Aalborg University, Denmark Tom Foulsham, University of Essex, UK Giovanni Maria Farinella, University of Catania, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Mon Apr 13 07:51:23 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 13 Apr 2020 13:51:23 +0200 Subject: Connectionists: [CfP] 2nd Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020) @ ECML PKDD 2020 Message-ID: An HTML attachment was scrubbed... URL: From nemanja at temple.edu Mon Apr 13 23:37:28 2020 From: nemanja at temple.edu (Nemanja Djuric) Date: Mon, 13 Apr 2020 23:37:28 -0400 Subject: Connectionists: CfP - AdKDD @ KDD2020 Message-ID: Call for Workshop Papers AdKDD 2020 in conjunction with The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020) San Diego, CA, USA, August 23rd-27th, 2020 http://www.adkdd.org Today, the average consumer spends 8+ hours a day across all devices interacting with online content almost entirely sponsored by advertisements. At $300B market share by 2020, online advertising and in particular computational advertising is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads help us enrich our lives and creep us out when done badly. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving, however, from ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences in new feeds on mobile devices and even on TV?all utilizing data amassed from petabytes of stored user data. Ads are far from done. The AdKDD workshops have had a lot of interest and success in the past years. A total of thirteen workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. We look forward to seeing you in San Diego to discuss the past, present, and future of computational advertising! Topics: ======= The workshop focuses on three main aspects of computational advertising. Evolution of computational advertising: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers and others, challenge the traditional notions of advertising. There also continues to exist controversial issues in advertising such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data and audience insights, as well as position papers on the future of online advertising. Submission Instructions: ======================== Following KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here: http://www.acm.org/publications/proceedings-template All accepted papers will be published in the ACM Digital Library and invited to present posters at the workshop. Important Deadlines: ==================== Submission : May 30th, 2020 Decisions : June 15th, 2020 Camera-ready : June 25th, 2020 Workshop : August 23rd, 2020 Best Paper Awards: ================== We are happy to announce that we will award the best accepted papers for this year?s workshop. Details are to be disclosed shortly. Submission Website: =================== https://easychair.org/conferences/?conf=adkdd2020 Program Committee Chairs: ========================= Abraham Bagherjeiran (eBay) Nemanja Djuric (Uber ATG) Mihajlo Grbovic (AirBnB) Kuang-chih Lee (Alibaba) Kun Liu (Amazon) Vladan Radosavljevic (Spotify) Suju Rajan (LinkedIn) For further questions please contact the organizers at organizers at adkdd.org. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Tue Apr 14 13:31:08 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Tue, 14 Apr 2020 18:31:08 +0100 Subject: Connectionists: CFP: HLPP2020 - Deadline Extended *** May, 4th (AoE) *** Message-ID: <2ed830e7-d80f-d8c3-feb0-483bc44b3e14@isep.ipp.pt> HLPP 2020 The 13th International Symposium on High-level Parallel Programming and Applications Porto, Portugal, 9-10 July, 2020 https://hlpp2020.dcc.fc.up.pt/ hlpp2020 at dcc.fc.up.pt ---------------------- *** NEW *** Covid?19 (Coronavirus) ---------------------- We are monitoring the ongoing outbreak, and following recommendations and guidelines from the World Health Organization (WHO) and the European Centre for Disease Prevention and Control (ECDC). The safety of all conference participants is our main priority. In this perspective, regardless of the outbreak outcomes in July, we will make HLPP2020 an online (synchronous and/or asynchronous) event and we will maintain the regular publication activities, i.e., accepted papers will be selected for IJPP. Moreover, we have also extended the submission deadline to May, 4th (AoE). The assessment of the outbreak's impact in HLPP2020 will be done at June, 15th. By that time, we will make an announcement, on HLPP2020's webpage, about its new format (schedulement, registration values, etc). Stay safe! ---------------------- Aims and scope of HLPP ---------------------- As processor and system manufacturers increase the amount of both inter- and intra-chip parallelism it becomes crucial to provide the software industry with high-level, clean and efficient tools for parallel programming. Parallel and distributed programming methodologies are currently dominated by low-level techniques such as send/receive message passing, or equivalently unstructured shared memory mechanisms. Higher-level, structured approaches offer many possible advantages and have a key role to play in the scalable exploitation of ubiquitous parallelism. Since 2001 the HLPP series of workshops/symposia has been a forum for researchers developing state-of-the-art concepts, tools and applications for high-level parallel programming. The general emphasis is on software quality, programming productivity and high-level performance models. The 13th Symposium on High-Level Parallel Programming and Applications will be held in the Porto, Portugal. ------ Topics ------ HLPP 2020 invites papers on all topics in high-level parallel programming, its tools and applications including, but not limited to, the following aspects: * High-level programming, performance models (BSP, CGM, LogP, MPM, etc.) and tools * Declarative parallel programming methodologies * Algorithmic skeletons and constructive methods * Declarative parallel programming languages and libraries: semantics and implementation * Verification of declarative parallel and distributed programs * Software synthesis, automatic code generation for parallel programming * Model-driven software engineering with parallel programs * High-level programming models for heterogeneous/hierarchical platforms * High-level parallel methods for large structured and semi-structured datasets * Applications of parallel systems using high?-level languages and tools * Formal models of timing and real-time verification for parallel systems ------------------ Local Organization ------------------ In?s Dutra, University of Porto, Portugal Miguel Areias, University of Porto, Portugal Ricardo Rocha, University of Porto, Portugal ----------------- Program Committee ----------------- Agostino Dovier, University of Udine, Italy Aleksandar Prokopec, Ecole Polytechnique F?d?rale de Lausanne, Switzerland Ana Lucia Varbanescu, University of Amsterdam, Netherlands Christoph Kessler, Link?ping University, Sweden Clemens Grelck, University of Amsterdam, Netherlands Dalvan Griebler, PUCRS/SETREM, Brasil Frank Pfenning, Carnegie Mellon University, USA Frederic Loulergue, Northern Arizona University, USA Fr?d?ric Dabrowski, LIFO - Universit? d'Orl?ans, France Gaetan Hains, Huawei Paris Research Center, France Herbert Kuchen, University of M?nster, Germany Joel Falcou, Univerist? Paris Sud, France Kiminori Matsuzaki, Kochi University of Technology, Japan Kostis Sagonas, Uppsala University, Sweden Marco Aldinucci, University of Torino, Italy Massimo Torquati, University of Pisa, Italy Michel Steuwer, University of Glasgow, UK Murray Cole, The University of Edinburgh, UK Peter Kilpatrick, Queen's University Belfast, UK ---------------- Important dates ---------------- Submission deadline: May, 4th (AoE) Author notification: June, 4th Camera-ready for draft proceedings: July, 1st Early registration deadline: June, 10th Symposium: July, 9th-10th (Thursday/Friday) IJPP (HLPP special issue) submission deadline: October, 1st IJPP (HLPP special issue) camera-ready for journal publication: December, 1st ---------------- Paper submission ---------------- Papers submitted to HLPP 2020 must describe original research results and must not have been published or simultaneously submitted anywhere else. Manuscripts must be prepared with the Springer IJSS latex macro package using the single column option (\documentclass[smallextended]{svjour3}) and submitted via the EasyChair Conference Management System as one pdf file. The strict page limit for initial submission and camera-ready version is 20 pages in the aforementioned format. Each paper will receive a minimum of three reviews by members of the international technical program committee. Papers will be selected based on their originality, relevance, technical clarity and quality of presentation. After the symposium you have ample time to revise the paper incorporating potential comments and remarks of your colleagues. We expect the the HLPP 2020 special issue of the International Journal of Parallel Programming (IJPP) to appear online-first by the end of the year and the printed edition in mid-2021. ----------- Proceedings ----------- Accepted papers will be distributed as informal draft proceedings during the symposium. Accepted papers will be published by Springer in a special issue of the International Journal of Parallel Programming (IJPP). 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 nicholas.cummins at ieee.org Tue Apr 14 12:19:27 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Tue, 14 Apr 2020 18:19:27 +0200 Subject: Connectionists: ICMI 2020: Call for Long and Short Papers - Deadline Extended Message-ID: *************************************** ICMI 2020: Call for Long and Short Papers http://icmi.acm.org/2020/index.php?id=cfp 25-29 Oct 2020, Utrecht, The Netherlands *************************************** COVID-19 announcement Dear all, We hope you are healthy in these worrying times. We are closely monitoring the COVID-19 situation in the Netherlands and around the world. There are many uncertainties, but we will try to give you more information about the format of the conference as soon as possible. What we do know for certain, is that we will publish ICMI2020 proceedings this year. Also, note that we have extended the submission deadline for Long and Short papers to 29 May 2020. Take care, the organizing team of ICMI2020. *************************************** Call for Long and Short Papers The 22nd International Conference on Multimodal Interaction (ICMI 2020) will be held in Utrecht, the Netherlands. 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 2020 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), demonstrations, exhibits and doctoral spotlight papers. The conference will also feature workshops and grand challenges. The proceedings of ICMI 2020 will be published by ACM as part of their series of International Conference Proceedings and Digital Library. 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 2020 review will be based on two sub-criteria (i.e., scientific novelty and technical novelty as described below). Accepted papers at ICMI 2020 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 to a new usage of an existing approach. Please see the Submission Guidelines for Authors https://icmi.acm.org/2020/index.php?id=authors for detailed submission instructions. This year?s conference theme: In this information age, technological innovation is at the core of our lives and rapidly transforming and impacting the state of the world in art, culture, and society, and science as well - the borders between classical disciplines such as humanities and computer science are fading. In particular, we wonder how multimodal processing of human behavioural data can create meaningful impact in art, culture, and society practices. And vice versa, how does art, culture, and society influence our approaches and techniques in multimodal processing? As such, this year, ICMI welcomes contributions on our theme for Multimodal processing and representation of Human Behaviour in Art, Culture, and Society. 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 Important Dates Paper Submission: *May 29, 2020 (EXTENDED)* Reviews to authors: July 15, 2020 Rebuttal due: July 20, 2020 Paper notification: TBA Camera-ready paper: TBA Presenting at main conference: October 25-29, 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jason at tau.ac.il Tue Apr 14 09:31:20 2020 From: jason at tau.ac.il (Jason Friedman) Date: Tue, 14 Apr 2020 16:31:20 +0300 Subject: Connectionists: PhD position on Accelerating motor learning with computational scaffolding (Tel Aviv) Message-ID: (also see online: http://www.movementscienceslab.com/PhDApril2020.pdf) Tel-Aviv University offers a funded full-time PhD position on ?Accelerating motor learning with computational scaffolding? starting in the summer The last few years have seen an amazing explosion in artificial intelligence and machine learning - helping machines learn to perform tasks better. In this project, we will use similar techniques to optimize the human learning experience in learning complex motor behaviour. ------------------------------ *Your tasks* We will tackle the problem of learning complex motor tasks using a technique known as computational scaffolding. You will play a central role in both designing, setting up, running and analyzing the behavioural experiments with human participants, as well as working on the machine learning algorithms to perform the guidance, based on recordings from experts teaching novices. The techniques developed in this project will eventually allow enhanced remote tele-operation for learning new skills and rehabilitation in different populations. The experiments will involve motion capture, recording performance from an electric piano and use of an exoskeleton for guidance. You will be supervised by Dr. Jason Friedman, from the Dept. Physical Therapy & Sagol School of Neuroscience, and the project will be performed collaboratively with the group of Prof. Dr. Helge Ritter, from the NeuroInformatics group at Bielefeld University in Germany. ------------------------------ *Your profile* We expect: - M.Sc or equivalent in Computer Science, Biomedical engineering, Physical Therapy, Neuroscience, Psychology, Physics, Motor Control, or related areas - Knowledge and experience in machine learning and artificial intelligence - Excellent programming skills - Very good English (written and spoken) - Independent, self-reliant and dedicated style of work - Strong organizational and communication skills - Ability to cooperate and to work in a team - A background in music is an advantage ------------------------------ The successful applicant will apply to be a PhD student in the Faculty of Medicine or the Sagol School of Neuroscience. The research will primarily take place on the campus of Tel Aviv University in Tel Aviv, Israel. Tel Aviv University, with over 30,000 students, is the largest university in Israel, with a vibrant research community. The student will receive a stipend at the standard Tel Aviv University rate. ------------------------------ *Application Procedure* Send the following by email to Dr. Jason Friedman (jason at tau.ac.il): - A CV - A transcript of your grades from your M.Sc studies - A cover letter describing how you meet the profile and why you are interested in the position - Names, affiliations, and email address of two academic references Shortlisted applicants will be contacted for an online video interview Recruitment will take place immediately until a suitable applicant is found -- Jason Friedman, PhD Senior Lecturer Department of Physical Therapy Tel Aviv University email: write.to.jason at gmail.com web: http://curiousjason.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From manuel.baltieri at gmail.com Tue Apr 14 11:02:42 2020 From: manuel.baltieri at gmail.com (Manuel Baltieri) Date: Wed, 15 Apr 2020 00:02:42 +0900 Subject: Connectionists: [meetings] DEADLINE 1st May, CfP - Special session - Hybrid Life III, ALife 2020 Message-ID: <77B5B6C4-F14F-4875-BF6A-47349363E65D@gmail.com> *** UPDATES in relation to COVID-19 (Coronavirus) *** ********** Call for Papers - NEW Deadline 1st May ********** Special session - Hybrid Life III: Approaches to integrate biological, artificial and cognitive systems https://sites.google.com/view/hybrid-life-iii/ 2020 Artificial Life conference (ALife) Virtual conference 13-18th July 2020 - http://2020.alife.org/ --------------------------------------------------------------------------------------------- DESCRIPTION: The main focus of ALife research is the study of natural systems with the goal of understanding what life is. More concretely, ALife defines ways to investigate processes that contribute to the formation and proliferation of living organisms. In this session we focus on three common approaches used to tackle this investigation, proposing ways to integrate, extend and possibly improve them. More specifically we refer to: 1) the formalisation of the necessary properties for the definition of life, 2) the implementation of artificial agents, and 3) the study of the relation between life and cognition. For this special session we propose to start from these well-established Alife methodologies, and extend them through: a unified formal language to describe and model living, as well as artificial and cognitive systems, e.g. control theory, Bayesian inference, dynamical systems theory, etc. the exploration of biological creatures enhanced by artificial systems (or artificial systems augmented with organic parts) in order to investigate the boundaries between living and nonliving organisms. This includes work from bio-inspired robotics, human augmentation, synthetic biology, etc. the evaluation of coupled biological-artificial systems that could shed light on the importance of interactions among systems for the study of living and cognitive organisms. This methodology welcomes contributions from the fields of human-agent interaction, animal-computer interaction, virtual / augmented reality systems, etc. This special session aims to invite contributions from the fields of psychology, computational neuroscience, HCI, theoretical biology, artificial intelligence, robotics and cognitive science to discuss current research on the formalisation, combination and interaction of artificial/living/cognitive systems from theoretical, modelling and implementational perspectives. Potential topics include, but are not limited to: Mathematical frameworks for life and cognition (e.g. dynamical systems theory, stochastic optimal control, Bayesian inference, etc.) Cognitive robotics Autopoiesis Life-mind continuity thesis Systems biology Origins-of-life theories with relationships to artificial and cognitive systems Animal-robot interaction Bio-inspired robotics Bio-integrated robotics Human-machine interaction Augmented cognition Sensory substitution Interactive evolutionary computation Artificial perception Important Dates 1st May 2020 ? Paper submission deadline TBC ? Paper acceptance notification TBC ? Camera-ready version 13th-18th 2020 ? Artificial Life virtual conference (ALife) Paper Submission Papers and abstracts submitted to this special sessions will be reviewed by a selected group of experts from the ALife community as well as from other areas key to our proposal, specifically chosen for this review process. If you are submitting to a special session you will be given the opportunity to select it during the submission process. Submissions to special sessions follow the same format, instructions and deadlines of regular ALife papers. Organizers Manuel Baltieri, RIKEN Centre for Brain Science, Saitama, Japan Keisuke Suzuki, University of Sussex, Brighton, UK Hiryuki IIzuka, Hokkaido University, Sapporo, Japan Olaf Witkowski, Cross Labs, Tokyo, Japan Lana Sinapayen, Sony Computer Science Laboratories, Tokyo, Japan Contacts For questions, enquiries and more information please check our website https://sites.google.com/view/hybrid-life-iii/ or get in touch with manuel.baltieri [at] riken.jp . All the best, -- Manuel Baltieri Postdoctoral Research Fellow Lab. for Neural Computation and Adaptation RIKEN CBS, Saitama, Japan www.manuelbaltieri.com Twitter: @manuelbaltieri -------------- next part -------------- An HTML attachment was scrubbed... URL: From ncheney at uvm.edu Tue Apr 14 17:42:55 2020 From: ncheney at uvm.edu (Nick Cheney) Date: Tue, 14 Apr 2020 17:42:55 -0400 Subject: Connectionists: Opening for a Postdoc Researcher in Natural Language Processing Message-ID: A fully-funded, two-year postdoc is available in the University of Vermont (UVM) Neurobotics Lab , and in close collaboration with the UVM Medical Center?s Department of Radiology , Philips HealthSuite Labs , the NIH Center for Biomedical Research Excellence in Translational Global Infectious Diseases Research , and the Gund Institute for Environment . The position is under the supervision of Prof. Nick Cheney in Computer Science/Complex Systems & Data Science. Research will be conducted in the area of natural language processing via word embeddings, including application areas in health services research, ecosystems services research, the human-behavioral factors of infectious disease. Experience in deep learning (and especially natural language processing) is desired. But applicants with strong research backgrounds in relevant fields, strong programming and communication skills, and a desire to learn more about the interface of deep learning and healthcare will be considered. A PhD is desired, but alternative research positions may also be available through this application for highly qualified individuals with significant experience conducting independent research. The position is available immediately, and applications will be considered on a rolling basis. The position includes full benefits and a competitive salary. Virtual work accommodations will be made, as necessary, in response to the COVID-19 pandemic. To apply, please fill out this application form (https://forms.gle/6u8RR8jjpf5guScr5) . For more information please visit uvm.edu/neurobotics/join-us , or contact ncheney at uvm.edu . Thanks for your interest and your help to share this posting! Cheers, Nick Cheney ------------------------ Research Assistant Professor of Computer Science, University of Vermont www.ncheney.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From anna.gld at gmail.com Tue Apr 14 21:54:22 2020 From: anna.gld at gmail.com (Anna Rogers) Date: Tue, 14 Apr 2020 21:54:22 -0400 Subject: Connectionists: EMNLP 2020 important dates changes Message-ID: <5ab9c977-d864-6125-f454-02111c98aef8@gmail.com> (Apologies for cross-posting) In view of the pandemic, EMNLP 2020 will take place as an on-line "virtualized" conference, and EMNLP 2021 will take place in Punta Cana. Furthermore, to give everyone more time to prepare their submissions in the current stressful situation, the following changes were made: 1. The dates of the main conference have been moved back to 16-18 November 2020 (Monday-Wednesday). 2. The submission date for papers has been moved back to 1 June 2020. 3. The anonymity period will begin on 1 May 2020. The updated CFP is available at https://2020.emnlp.org/ From tausifasaleem19 at gmail.com Wed Apr 15 02:10:55 2020 From: tausifasaleem19 at gmail.com (Tausifa Saleem) Date: Wed, 15 Apr 2020 11:40:55 +0530 Subject: Connectionists: Call for Book Chapters in Scopus Indexed Book on *Big Data Analytics for Internet of Things* by Wiley Message-ID: It is our pleasure to invite you to contribute a quality chapter to our forthcoming* Scopus indexed book* entitled **Big Data Analytics for Internet of Things** to be published by *Wiley,* a leading academic publisher. Internet of Things (IoT) is an emerging idea that has the prospective to completely reform the outlook of businesses. The goal of the IoT is to transmute day-to-day objects to being smart by utilizing a broad range of sophisticated technologies, from embedded devices and communication technologies to data analytics. It is bound to transform the ways of our everyday working and living. The number of IoT devices is anticipated to amount to several billions in next few years. This unpredictable growth in the number of devices connected to IoT and the exponential rise in data consumption manifest how the expansion of big data seamlessly coincides with that of IoT. The main purpose of Big Data Analytics in IoT is to identify trends in the data, extract concealed information and to dig out valuable information from the raw data generated by IoT systems. This is extremely crucial for dispensing elite services to IoT users. In this regard, investigating the recent technological advancements in the said area becomes indispensable. To this purpose, this book will uncover the recent trends in big data analytics for IoT applications so that novel, optimized, and efficient designs of IoT use-cases are formulated. Recommended topics include (but are not limited to): 1. IoT architecture, enabling technologies and applications 2. IoT data characteristics and analytics requirements 3. Machine Learning techniques for IoT data analytics 4. Deep Neural Network architectures and their role in IoT data analytics 5. Computing Platforms for IoT data analytics, Cloud/fog challenges and research opportunities 6. Big Data Analytics tools 7. Data compression techniques 8. Data Storage solutions for IoT systems 9. Security and Privacy challenges and solutions in IoT Data Analytics 10.Novel Designs of IoT systems such as Smart Healthcare, Smart Transportation, Smart Home, Smart Agriculture, Smart Manufacturing, Smart Grid, Smart Education, Smart Government etc. based on Big Data Analytics *Important Dates:* *April 30, 2020:* Full Chapter Submission *May 31, 2020:* Review Results Returned *June 30, 2020:* Revised Manuscript Submission Deadline *July 15, 2020:* Final Decision Notification *July 31, 2020:* Camera-ready chapter submission *August 31, 2020: *Publication *Submission Guidelines: * Kindly prepare a manuscript of 20-25 pages in Ms-Word and submit it at the following link: *https://easychair.org/conferences/?conf=bdaiot2020* *.* *Note: There are no publication charges.* *Inquiries can be forwarded to:* Tausifa Jan Saleem, Research Scholar, Department of Computer Science and Engineering, National Institute of Technology Srinagar, India. Email: *tausifa_30phd17 at nitsri.net* Mohammad Ahsan Chishti, Assisstant Professor, Department of Computer Science and Engineering, National Institute of Technology Srinagar. Email: *ahsan at nitsri.net * -- Best Regards, Tausifa Jan Saleem, Ph.D Scholar, Department of Computer Science and Engineering, National Institute of Technology Srinagar, Hazratbal, Srinagar, J&K, 190006, India. -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at cikm2020.org Wed Apr 15 11:03:35 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Wed, 15 Apr 2020 23:03:35 +0800 Subject: Connectionists: CIKM 2020 - Call for Research Papers - COVID19 UPDATES Message-ID: **IMPORTANT ANNOUNCEMENT** This year, CIKM 2020 will become a fully VIRTUAL CONFERENCE, with reduced fees, no travel involved, and presentations given via pre-recorded videos, followed by synchronized online discussions during the scheduled conference period. To reflect this change, submission deadlines have been revised (see below). ** CALL FOR FULL AND SHORT RESEARCH PAPERS ** 29th ACM International Conference on Information and Knowledge Management (CIKM 2020) Galway, Ireland, Oct. 19th-23rd, 2020 https://cikm2020.org/call-for-papers 2020 Theme: Data and knowledge for the next generation: sustainability, transparency and fairness The Conference on Information and Knowledge Management (CIKM) is a key event for the international academic, business and government communities to discuss research on information retrieval, data science, and knowledge management. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. Full and Short Research Papers NEW IMPORTANT DATES Full and Short Paper Abstract Submission Deadline: May 8, 2020 Full and Short Paper Submission Deadline: May 15, 2020 Full and Short Paper Acceptance Notification: July 17, 2020 Full and Short Research Paper Camera Ready Submission Deadline: August 17, 2020 Anywhere on Earth time Topics of Interest We encourage submissions of high-quality research papers on all topics in the general areas of artificial intelligence, databases, information retrieval, and knowledge management. Topics of interest include, but are not limited to, the following areas: - Data and information acquisition and preprocessing (e.g., data crawling, data quality, data privacy, mitigating biases, and data wrangling) - Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, (knowledge) graphs, data warehousing, privacy and security, modelling, information credibility) - Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customised hardware) - Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, and interpretability) - Neural Information and knowledge processing (e.g. graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) - Information access and retrieval (e.g., facets and entities, web search, question answering, and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) - Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) - Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) - Data presentation (e.g., visualization, summarization, readability, understandability, transparency, VR, speech input and output) - Users and interfaces for information and data systems (e.g., user behaviour analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) - Crowdsourcing (e.g. task assignment, worker reliability, optimisation, trustworthiness, transparency, best practices) - Comparative evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices) Check our sponsorship options for an opportunity to reach out to the experts in the domain! -------------- next part -------------- An HTML attachment was scrubbed... URL: From midas at iiitd.ac.in Thu Apr 16 00:20:09 2020 From: midas at iiitd.ac.in (MIDAS Lab IIIT Delhi) Date: Thu, 16 Apr 2020 09:50:09 +0530 Subject: Connectionists: IEEE BigMM 2020, New Delhi, India: Call for Papers (Extended Deadline: 15 May) Message-ID: Dear Colleagues ************************************************************************* Extended Deadline: 15 May 2020 PST ************************************************************************* Due to the COVID-19 situation, the organization committee has decided to extend the deadline for all tracks until May 15, 2020. Consider submitting your papers to the IEEE BigMM 2020. Kindly share the CFP with others who may wish to submit papers to IEEE BigMM 2020, which will be held at Jawaharlal Nehru University (JNU), New Delhi, in collaboration with Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi). In the first round of paper submission at 6th IEEE BigMM 2020, the acceptance of regular papers was very highly competitive. The acceptance rate was 23%. All regular papers were fairly selected by the strict review process that guaranteed each paper received at least three review reports (average: 3.46 reviews; maximum: 4 reviews). Conflict of interest was also carefully taken into account while assigning the papers for reviews. Thus, we are committed to carefully and fairly reviewing all submitted papers and providing high-quality reviews to authors. We are also excited to inform you that Prof Ramesh Jain from the University of California, Irvine, USA will deliver a keynote at IEEE BigMM 2020 ( http://bigmm2020.org/) in New Delhi, India. Prof Jain does not need any introduction. He is commonly referred to as 'Father of Multimedia Computing'. We expect to have two more eminent researchers from academia and industry as keynote speakers. ------------------------------------------------------------------------ Please accept our apologies if you receive multiple copies of the CFP. ------------------------------------------------------------------------ CALL FOR PAPERS Webpage: http://bigmm2020.org/index.php/calls-for-submission/call-for-papers Submission Instruction: http://bigmm2020.org/index.php/authors/submission-instructions Submission Link: https://easychair.org/conferences/?conf=bigmm2020 The Sixth IEEE International Conference on Multimedia Big Data (BigMM 2020) September 24-26, 2020 Jawaharlal Nehru University New Delhi, India http://bigmm2020.org/ Multimedia is increasingly becoming the ?biggest big data?. It is the most important and valuable source for insights and information as it covers everyone?s experiences and is about everything that is happening in the world. As such, multimedia big data is spurring on a tremendous amount of research and development of related technologies and applications. The IEEE International Conference on Multimedia Big Data (BigMM), jointly sponsored by the IEEE-TCMC (Technical Committee on Multimedia Computing) and IEEE-TCSEM (Technical Committee on Semantic Computing), is a world?s premier forum of leading scholars in the highly active multimedia big data research, development and applications. The sixth BigMM conference is jointly hosted by the Jawaharlal Nehru University (JNU) and Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), will be held in JNU, New Delhi from September 24 to 26 in 2020. The conference aims to bring together researchers from different areas and solicits high-quality original research papers relevant in any aspect of multimedia big data but not limited to the following broad themes: Multimedia and User Engagement - Social media mining; affective computing - Multimedia search; ranking; summarization - Multimedia recommendation systems - Security and privacy Multimedia Experience - Human-computer interactions, visualization, and navigation - Digital humanities; arts; storytelling - Multimedia applications; multimodal interactions and interfaces Multimedia and Big Data Content Understanding - Multimodal integration and alignment - Vision and language; audio/visual processing - Large scale multimodal content (image/audio/video) understanding and processing Multimedia Systems - Large scale multimedia systems and middleware - Transport and delivery - Large scale multimedia systems and middleware - Green computing; resource-efficient multimedia and big data computing SUBMISSIONS (Paper Length) - Regular Papers: 8 pages - Industry Papers: 8 pages - Short Papers: 4 pages - Student Consortium Papers: 4 pages - Demonstration Papers: 4 pages - Multimedia Grand Challenge Papers: 4 pages - Workshops Papers: 8 pages Note: The above-mentioned page limits are a maximum number of pages in a 2-column IEEE format excluding references. The authors will be given a maximum of 2 additional pages for references. IEEE BigMM 2020 will showcase high quality oral and poster presentations for regular and workshop papers as well as technical demo and grand challenge solution sessions. The review will be done by at least three reviewers. Best papers, posters, technical demos, and multimedia grand challenge solutions will be awarded at the conference. All papers in this conference will be included in the IEEExplore and indexed by EI. IMPORTANT DATES - Round-2 Regular/Industry/Short Paper Submission: May 15, 2020 - Round-2 Regular/Industry/Short Paper Notification: June 15, 2020 - Demonstration/Student Consortium Paper Submission: May 15, 2020 - Demonstration/Student Consortium Paper Notification: June 15, 2020 - Workshop/Grand Challenge Paper Submission: May 31, 2020 - Workshop/Grand Challenge Paper Notification: June 30, 2020 - Camera-ready: July 25, 2020 - Registration Deadline: July 25, 2020 - Conference: September 24-26, 2020 You may check more details at http://bigmm2020.org, https://twitter.com/ieeebigmm, and https://www.facebook.com/ieeebigmm. Sincerely, -- General Co-Chairs of IEEE BigMM 2020: Mohan Kankanhalli, National University of Singapore, Singapore PC Co-Chairs of IEEE BigMM 2020: Rajiv Ratn Shah (rajivratn at iiitd.ac.in), IIIT-Delhi, India Vishy Swaminathan (vishy at adobe.com), Adobe, USA Yi Yu (yiyu at nii.ac.jp), NII, Japan -- Best regards MIDAS - Multimodal Digital Media Analysis Lab *"Where Research for Society is a Pleasure." * A-415, Level 4, New Academic Building, IIIT-Delhi, Okhla Industrial Estate Phase 3, Near Govindpuri Metro Station, Delhi - 110020. Phone: +91-11-26907495 Website: http://midas.iiitd.edu.in Twitter: https://twitter.com/midasiiitd Facebook: https://facebook.com/midasiiitd LinkedIn: https://linkedin.com/company/midasiiitd Virus-free. www.avg.com <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Apr 15 03:33:07 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Wed, 15 Apr 2020 10:33:07 +0300 Subject: Connectionists: CVML live Web lectures 25th April 2020: 1) Introduction to Autonomous Systems 2) Introduction to Computer Vision Message-ID: <0a8b01d612f8$1c2deed0$5489cc70$@csd.auth.gr> Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Two lectures will take place on Saturday 25th April 2020: 1) Introduction to Autonomous Systems 2) Introduction to Computer Vision Date/time: a) Saturday 11:00-12:30 EET (17:00-18:30 Beijing time) for audience in Asia and b) Saturday 20:00-21:30 EET (13:00-14:30 EST, 10:00-11:30 PST for NY/LA, respectively) for audience in the Americas. Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lectures abstract 1) Introduction to Autonomous Systems Abstract: Mission planning and control, perception and intelligence, embedded computing, swarm systems, communications and societal technologies. a) autonomous cars, b) drones and drone swarms, c) autonomous underwater vehicles d) autonomous marine vessels and e) autonomous robots. 2) Introduction to Computer Vision Abstract: image/video sampling, Image and video acquisition, Camera geometry, Stereo and Multiview imaging, Structure from motion, Structure from X, 3D Robot Localization and Mapping, Semantic 3D world mapping, 3D object localization, Multiview object detection and tracking, Object pose estimation. Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el AIIA Lab www.aiia.csd.auth.gr Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. These two lectures are part of a 14 lecture CVML web course 'Computer vision and machine learning for autonomous systems' (April-June 2020): 1. Introduction to autonomous systems 2. Introduction to computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. 3D object/building/monument reconstruction and modeling 6. Signals and systems. 2D convolution/correlation 7. Motion estimation 8. Introduction to Machine Learning 9. Introduction to neural networks, Perceptron, backpropagation 10. Deep neural networks, Convolutional NNs 11. Deep learning for object/target detection 12. Object tracking 13. Localization and mapping 14. Fast convolution algorithms. CVML programming tools. Sincerely yours Prof. Ioannis Pitas, Director of AIIA Lab, Aristotle University of Thessaloniki, Greece -------------- next part -------------- An HTML attachment was scrubbed... URL: From rok at cs.stanford.edu Thu Apr 16 02:13:07 2020 From: rok at cs.stanford.edu (Rok Sosic) Date: Wed, 15 Apr 2020 23:13:07 -0700 Subject: Connectionists: Postdoctoral Position in Network Analytics and Machine Learning at Stanford University Message-ID: Prof. Jure Leskovec is inviting applications for a research position of Postdoctoral Scholar in the SNAP Group, see http://snap.stanford.edu/. The group is one of the leading centers for applied machine learning on networks. Our research focuses on modeling complex, richly labeled graphs and networks at all scales for large complex interconnected systems from information, biomedical, and social domains. Examples of potential projects include: deep learning for networks, AI for health, tools for large-scale dynamic time-series, and machine learning for public policy problems. We are seeking highly motivated postdoctoral researchers with background in computer science and machine learning to join our group in a quest to perform breakthrough research on approaches that advance network science, including mathematical methods, algorithms, and systems. An ideal candidate has strong research skills in relevant areas: learning on graphs, large-scale network embeddings, deep learning, causal inference. A Ph.D. degree or equivalent is required. Strong programming skills are a plus. Please apply at: http://snap.stanford.edu/apply/index-postdoc.php The review of applications will begin immediately and will continue until the position is filled. Stanford, one of the world's top universities, is located on a beautiful campus in the San Francisco Bay Area. Stanford has long been a magnet for talent in computing, and is considered the birthplace and spiritual center of Silicon Valley, an unparalleled center of technological and scientific innovation. Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce. It welcomes applications from women, members of minority groups, veterans, persons with disabilities, and others who would bring additional dimensions to the university's research and teaching mission. From rok at cs.stanford.edu Thu Apr 16 02:19:16 2020 From: rok at cs.stanford.edu (Rok Sosic) Date: Wed, 15 Apr 2020 23:19:16 -0700 Subject: Connectionists: Postdoctoral Position in Knowledge Graphs and Natural Language Processing at Stanford University Message-ID: <2d9b538c-2c10-b4dc-bb21-325d3b16cc88@cs.stanford.edu> Prof. Chris Manning and Prof. Jure Leskovec are inviting applications for a research position of Postdoctoral Scholar on a joint project about knowledge graphs and natural language processing. The project is developing novel approaches to constructing knowledge graphs from text, and then using them to perform representation learning and reasoning tasks. We are searching for outstanding individuals with strong research background. Experience with research in one or more of the following areas is desirable: knowledge graph construction and reasoning, deep learning, representation learning. A Ph.D. degree in Computer Science or a related field with a background in a combination of machine learning, natural language processing, and network analytics is required. Please apply at: http://snap.stanford.edu/apply/index-postdoc-kg-nlp.php The review of applications will begin immediately and will continue until the position is filled. Stanford, one of the world's top universities, is located on a beautiful campus in the San Francisco Bay Area. Stanford has long been a magnet for talent in computing, and is considered the birthplace and spiritual center of Silicon Valley, an unparalleled center of technological and scientific innovation. Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce. It welcomes applications from women, members of minority groups, veterans, persons with disabilities, and others who would bring additional dimensions to the university's research and teaching mission. From Francesco.Rea at iit.it Thu Apr 16 06:02:23 2020 From: Francesco.Rea at iit.it (Francesco Rea) Date: Thu, 16 Apr 2020 10:02:23 +0000 Subject: Connectionists: AVHRC 2020 - Active Vision and perception in Human(-Robot) Collaboration Workshop @RO-MAN 2020 - THE 29TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION Message-ID: <6215f60064594417a4221bc594eec21d@iit.it> AVHRC 2020 - Active Vision and perception in Human(-Robot) Collaboration Workshop @RO-MAN 2020 - THE 29TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION NAPLES, ITALY, FROM AUGUST 31 TO SEPTEMBER 4, 2020. Key Dates ========= Submission opening: May 1, 2020 Submission deadline: June 25, 2020 Notification: July 15, 2020 Camera ready July 30, 2020 Workshop: August 31, 2020 **Workshop website: *** Under construction. **Submission website: *** Not available yet Publication ============ All accepted papers will be published on the workshop website. Selected papers will be published in a dedicated special issue of a high quality open access journal, e.g. Frontiers in Neurorobotics. A best paper award will be announced, offering a full publication fee waiver. Submission Guidelines ===================== Two types of submissions are invited to the workshop: long papers (6 to 8 pages + n references pages) and short papers (2-4 pages + n references pages). In both cases there is no page limit for the bibliography/references (n pages) section. All submissions should be formatted according to the standard IEEE RAS Formatting Instructions and Templates available at http://ras.papercept.net/conferences/support/tex.php. Authors are required to submit their papers electronically in PDF format. At least one author of each accepted paper must register for the workshop. For any questions regarding paper submission, please email us: dimitri.ognibene at gmail.com Presentation ============== Papers will be presented in short talks and/or poster spotlights. The organisers would like to reassure authors that, independently of any potential restriction due to the COVID-19 situation, it will be possible to present all accepted papers and to attend the keynotes, either in person or remotely, following the same rules and the same procedure of the main conference. At what is a difficult time for many people, we look forward to sharing our work with the community despite any restrictions and we invite interested colleagues to join us. More information can be found here: http://ro-man2020.unina.it/announcements.php Topics ======== Active perception for intention and action prediction Activity and action recognition in the wild Active perception for social interaction Active perception for (collaborative) navigation Human-robot collaboration in unstructured environments Human-robot collaboration in presence of sensory limits Joint human-robot search and exploration Testing setup for social perception in real or virtual environments Setup for transferring active perception skills from humans to robots Machine learning methods for active social perception Benchmarking and quantitative evaluation with human subject experiments Gaze-based factors for intuitive human-robot collaboration Active perception modelling for social interaction and collaboration Head-mounted eye tracking and gaze estimation during social interaction Estimation and guidance of partner situation awareness and attentional state in human-robot collaboration Multimodal social perception Adaptive social perception Egocentric vision in social interaction; Explicit and implicit sensorimotor communication; Social attention; Natural human-robot (machine) interaction; Collaborative exploration; Joint attention; Multimodal social attention; Attentive activity recognition; Belief and mental state attribution in robots; Cognitive Robotics Background ============= Humans naturally interact and collaborate in unstructured social environments, which produce an overwhelming amount of information and may yet hide behaviorally relevant variables. Finding the underlying design principles that allow humans to adaptively find and select relevant information is important for Robotics but also other fields, such as Computational Neuroscience, Interaction Design, and Computer Vision. Current solutions address specific domains, e.g. autonomous cars, and usually employ over-redundant, expensive, and computationally demanding sensory systems that attempt to cover the wide set of environmental conditions which the systems may have to deal with. Adaptive control of the sensors and of the perception process is a key solution found by nature to cope with such problems, as shown by the foveal anatomy of the eye and its high mobility. Alongside this interest in "active" vision, collaborative robotics has recently progressed to human-robot interaction in real manufacturing processes. Measuring and modelling task-specific gaze behaviours seems to be essential for smooth human-robot interaction. Indeed, anticipatory control for human-in-the-loop architectures, which can enable robots to proactively collaborate with humans, relies heavily on observing the gaze and actions patterns of the human partner. We would like to solicit manuscripts that present novel computational and robotic models, theories and experimental results as well as reviews relevant to these topics. Submissions will further our understanding of how humans actively control their perception during social interaction and in which conditions they fail, and how these insights may enable natural interaction between humans and artificial systems in non-trivial conditions. Organizers ================== Main organizer: Dimitri Ognibene, University of Essex, UK & University of Milano-Bicocca, Italy Communication Organisers: Francesco Rea, Instituto Italiano di Tecnologia, Italy Francesca Bianco,University of Essex, UK Vito Trianni, ISTC-CNR, Italy Ayse Kucukyilmaz, University of Nottingham, UK Review Organisers: Angela Faragasso, The University of Tokyo, Japan Manuela Chessa, University of Genova Fabio Solari, University of Genova David Rudrauf, University of Geneve, Switzerland Yan Wu, Robotics Department, Institute for Infocomm Research, A*STAR, Singapore Publication Organisers: Fiora Pirri, Sapienza - University of Rome, Italy Letizia Marchegiani, Aalborg University, Denmark Tom Foulsham, University of Essex, UK Giovanni Maria Farinella, University of Catania, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From mlsp at neuro.kuleuven.be Thu Apr 16 05:49:27 2020 From: mlsp at neuro.kuleuven.be (2020 IEEE International Workshop on Machine Learning fo Signal Processing) Date: Thu, 16 Apr 2020 11:49:27 +0200 Subject: Connectionists: MLSP 2020 - Submission deadline extended to May 3 - IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING Message-ID: **IEEE International Workshop on****** **MACHINE LEARNING FOR SIGNAL PROCESSING***** September 21-24, 2020 Aalto University, Espoo, Finland* Due to complications regarding the COVID-19 situation and to answer the requests by several authors, the *paper **submission DL has been extended to **May 3*. This is the final DL and no extensions will be granted. This is to ensure a timely review process We will continue to monitor official travel advisories related to the Corona Virus and update the event website to keep you informed. Regardless of the situation, we will ensure that it is possible to present your scientific contribution to the MLSP 2020 audience (either in person or remotely) **MLSP 2020** Download poster **Call for Papers** Machine learning, as the driving force of this wave of AI, provides powerful solutions to many real-world technical and scientific challenges. The 30th MLSP workshop, an annual event organized by the IEEE Signal Processing Society MLSP Technical Committee, will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, as well as special and regular single-track sessions. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: ?* Learning theory and modeling ?* Neural networks and deep learning ?* Bayesian Learning and modeling ?* Sequential learning, sequential decision methods ?* Information-theoretic learning ?* Graphical and kernel models ?* Bounds on performance ?* Source separation and independent component analysis ?* Signal detection, pattern recognition and classification ?* Tensor and structured matrix methods ?* Machine learning for big data ?* Large scale learning ?* Dictionary learning, subspace and manifold learning ?* Semi-supervised and unsupervised learning ?* Active and reinforcement learning ?* Learning from multimodal data ?* Resource efficient machine learning ?* Cognitive information processing ?* Bioinformatics applications ?* Biomedical applications and neural engineering ?* Speech and audio processing applications ?* Image and video processing applications ?* Intelligent multimedia and web processing ?* Communications applications ?* Other applications including social networks, games, smart grid, ?? security and privacy **Special Session Call for Proposals** MLSP is seeking original, high quality proposals for Special Sessions, to be included in the technical program along with the regular track. Special Sessions are expected to address research in focused, emerging, or interdisciplinary areas of particular interest, not covered already by traditional MLSP sessions. More details **Paper Submission** Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure which will be peer-reviewed. More details **Paper Publication** Accepted papers will be published on on a password-protected website that will be available during the workshop. The presented papers will be published in and indexed by IEEE Xplore. **Schedule 2020** ?* Special session call deadline: *March 19 2020* ?* Paper submission deadline: **May 3 2020** ?* Decision notification: **June 30 2020** ?* Camera-ready paper deadline: **July 25 2020** ?* Advance registration deadline: **August 22 2020** **Organizing Committee** General Chair: *Simo S?rkk?* (Aalto University), Program Chairs: *Lassi Roininen* (Lappeenranta University of Technology), *Andreas Hauptmann* (University of Oulu), *Manon Kok* (TU Delft), *Michael Riis Andersen* (Technical University of Denmark), Finance Chair: *Seppo Sierla* (Aalto University), Publicity Chair: *Arno Solin* (Aalto University), Tutorial Chair: *Alexander Ilin* (Aalto University), Publications Chair: *Roland Hostettler* (Uppsala University), Advisory Committee: *Zheng-Hua Tan* (Aalborg University), *Murat Akcakaya* (University of Pittsburgh), *Bhaskar Rao* (University of California San Diego), *Raviv Raich* (Oregon State University) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Thu Apr 16 08:37:49 2020 From: Francesco.Rea at iit.it (Francesco Rea) Date: Thu, 16 Apr 2020 12:37:49 +0000 Subject: Connectionists: AVHRC 2020 - Active Vision and perception in Human(-Robot) Collaboration Workshop @RO-MAN 2020 - THE 29TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION Message-ID: <9c032f37203742fabcc566f4261afe56@iit.it> AVHRC 2020 - Active Vision and perception in Human(-Robot) Collaboration Workshop @RO-MAN 2020 - THE 29TH IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION NAPLES, ITALY, FROM AUGUST 31 TO SEPTEMBER 4, 2020. Key Dates ========= Submission opening: May 1, 2020 Submission deadline: June 25, 2020 Notification: July 15, 2020 Camera ready July 30, 2020 Workshop: August 31, 2020 **Workshop website: *** Under construction. **Submission website: *** Not available yet Publication ============ All accepted papers will be published on the workshop website. Selected papers will be published in a dedicated special issue of a high quality open access journal, e.g. Frontiers in Neurorobotics. A best paper award will be announced, offering a full publication fee waiver. Submission Guidelines ===================== Two types of submissions are invited to the workshop: long papers (6 to 8 pages + n references pages) and short papers (2-4 pages + n references pages). In both cases there is no page limit for the bibliography/references (n pages) section. All submissions should be formatted according to the standard IEEE RAS Formatting Instructions and Templates available at http://ras.papercept.net/conferences/support/tex.php. Authors are required to submit their papers electronically in PDF format. At least one author of each accepted paper must register for the workshop. For any questions regarding paper submission, please email us: dimitri.ognibene at gmail.com Presentation ============== Papers will be presented in short talks and/or poster spotlights. The organisers would like to reassure authors that, independently of any potential restriction due to the COVID-19 situation, it will be possible to present all accepted papers and to attend the keynotes, either in person or remotely, following the same rules and the same procedure of the main conference. At what is a difficult time for many people, we look forward to sharing our work with the community despite any restrictions and we invite interested colleagues to join us. More information can be found here: http://ro-man2020.unina.it/announcements.php Topics ======== Active perception for intention and action prediction Activity and action recognition in the wild Active perception for social interaction Active perception for (collaborative) navigation Human-robot collaboration in unstructured environments Human-robot collaboration in presence of sensory limits Cognitive Robotics Joint human-robot search and exploration Testing setup for social perception in real or virtual environments Setup for transferring active perception skills from humans to robots Machine learning methods for active social perception Benchmarking and quantitative evaluation with human subject experiments Gaze-based factors for intuitive human-robot collaboration Active perception modelling for social interaction and collaboration Head-mounted eye tracking and gaze estimation during social interaction Estimation and guidance of partner situation awareness and attentional state in human-robot collaboration Multimodal social perception Adaptive social perception Egocentric vision in social interaction; Explicit and implicit sensorimotor communication; Social attention; Natural human-robot (machine) interaction; Collaborative exploration; Joint attention; Multimodal social attention; Attentive activity recognition; Belief and mental state attribution in robots; Cognitive Robotics Background ============= Humans naturally interact and collaborate in unstructured social environments, which produce an overwhelming amount of information and may yet hide behaviorally relevant variables. Finding the underlying design principles that allow humans to adaptively find and select relevant information is important for Robotics but also other fields, such as Computational and Cognitive Neuroscience, Interaction Design, and Computer Vision. Current solutions address specific domains, e.g. autonomous cars, and usually employ over-redundant, expensive, and computationally demanding sensory systems that attempt to cover the wide set of environmental conditions which the systems may have to deal with. Adaptive control of the sensors and of the perception process is a key solution found by nature to cope with such problems, as shown by the foveal anatomy of the eye and its high mobility. Alongside this interest in "active" vision, collaborative robotics has recently progressed to human-robot interaction in real manufacturing processes. Measuring and modelling task-specific gaze behaviours seems to be essential for smooth human-robot interaction. Indeed, anticipatory control for human-in-the-loop architectures, which can enable robots to proactively collaborate with humans, relies heavily on observing the gaze and actions patterns of the human partner. We would like to solicit manuscripts that present novel computational and robotic models, theories and experimental results as well as reviews relevant to these topics. Submissions will further our understanding of how humans actively control their perception during social interaction and in which conditions they fail, and how these insights may enable natural interaction between humans and artificial systems in non-trivial conditions. Organizers ================== Main organizer: Dimitri Ognibene, University of Essex, UK & University of Milano-Bicocca, Italy Communication Organisers: Francesco Rea, Instituto Italiano di Tecnologia, Italy Francesca Bianco,University of Essex, UK Vito Trianni, ISTC-CNR, Italy Ayse Kucukyilmaz, University of Nottingham, UK Review Organisers: Angela Faragasso, The University of Tokyo, Japan Manuela Chessa, University of Genova Fabio Solari, University of Genova David Rudrauf, University of Geneve, Switzerland Yan Wu, Robotics Department, Institute for Infocomm Research, A*STAR, Singapore Publication Organisers: Fiora Pirri, Sapienza - University of Rome, Italy Letizia Marchegiani, Aalborg University, Denmark Tom Foulsham, University of Essex, UK Giovanni Maria Farinella, University of Catania, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From guru094 at gmail.com Thu Apr 16 10:16:31 2020 From: guru094 at gmail.com (Gurkirt Singh) Date: Thu, 16 Apr 2020 16:16:31 +0200 Subject: Connectionists: Edoscopic Surgeon Action Detection Challenge at MIDL Message-ID: SARAS-ESAD 2020: SARAS Endoscopic Surgeon Action Detection (ESAD) challenge SARAS Endoscopic Surgeon Action Detection (ESAD) challenge is being organised at the Medical Imaging with Deep Learning (MIDL, 2020) conference. The MIDL conference will be held from 6 to 8 July 2020 in Montreal, Canada. Link to challenge: https://saras-esad.grand-challenge.org/ Link to conference: https://2020.midl.io/ Link to baseline code/Dev-kit: https://github.com/Viveksbawa/SARAS-ESAD-baseline Important dates: Challenge opens for registration: 1 March 2020 Training/Validation data release: 20 March 2020 Test data release: 1 June 2020 Result submission deadline: 15 June 2020 Final result announcement: 18 June 2020 Keywords: Surgeon action detection, prostatectomy, endoscopic video About: The task presented in the competition is very challenging considering the complexity of the surgical scene. This challenge has organised the list of actions performed by surgeons into 21 different classes. Each frame of the dataset can have more than one action. To the best of our knowledge, this challenge presents the first benchmark dataset for action detection in the surgical domain, and paves the way for the introduction, for the first time, of partial/full autonomy in surgical robotics. Within computer vision, other datasets for action detection exist, but are of limited size. Reward: Winner and runner up from the challenge will be invited to give a talk in the challenge event which will be organised on the day of the conference. Authors from the winner and runner up methods will also be invited as co-authors in publication summarizing the challenge. Authors from other methods can be made co-authors as well, based on the novelty to their methods. Call for participation: SARAS-ESAD 2020: SARAS endoscopic vision challenge for surgeon action detection invites researchers from medical and general computer vision community to participate in the challenge. The challenge aims to detect actions performed by the surgeon during the prostatectomy procedure. Baseline code and data reading pipline: The baseline model can be downloaded from SARAS-ESAD-baseline repository at GitHub. Features of the baseline code or Dev-kit: 1. Data organising instructions and helping scripts. 2. Pytorch dataloader for the provided dataset. 3. Pytorch code for training a baseline model. 4. Evaluating the trained model on the validation dataset. 5. Generation of submission file given set of input images We hope this will help kick start more teams to get up to speed and allow time for more innovative solutions. We look forward to seeing (virtually :D) you at MIDL. Good luck! Gurkirt Singh -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.bach at ucl.ac.uk Thu Apr 16 13:07:43 2020 From: d.bach at ucl.ac.uk (Dominik R. Bach) Date: Thu, 16 Apr 2020 18:07:43 +0100 Subject: Connectionists: Research programmer position 20-40% at UCL - please circulate Message-ID: We are looking for a part-time research programmer with or nearing BSc degree in computer science, engineering, physics, or similar. Working hours are flexible, and all work can be done from home during the COVID-19 lockdown (and possibly beyond). The work is based in London UK at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research. The candidate will participate in development and maintenance of a Matlab-based toolbox for model-based analysis of biosignals (https://bachlab.github.io/PsPM/). The software includes signal processing modules, biophysical models, statistical model inversion, and plotting and reporting functions. The software is publicly distributed on GitHub. The candidate will further contribute to the maintenance of a data repository used for development purposes, and work on a code base for data curation and analysis pipelines. All details on the job and how to apply are available on bachlab.org/jobs Closing date 05 May 2020. -- ----------------------- Dominik R Bach MBBS PhD Principal Research Fellow MPCUCL & WCHN, University College London http://bachlab.org | @bachlab_cog From marcin at amu.edu.pl Thu Apr 16 16:17:51 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Thu, 16 Apr 2020 22:17:51 +0200 Subject: Connectionists: =?utf-8?q?CALL_FOR_PAPERS_--=3E_15th_Conference_o?= =?utf-8?q?n_Computer_Science_and_Information_Systems_=28FedCSIS=E2=80=992?= =?utf-8?q?020=29_--=3E_Deadline_May_15?= In-Reply-To: References: Message-ID: <92004555-ee96-6d44-5137-c6df3d8b6400@amu.edu.pl> CALL FOR PAPERS 15th Conference on Computer Science and Information Systems (FedCSIS?2020) Sofia, Bulgaria, 6-9 September, 2020 www.fedcsis.org Strict submission deadline: May 15, 2020, 23:59:59 pm HST (no extensions) (FedCSIS IEEE conference number: #49059) ************************* COVI-19 Information ************************** We would like to assure everybody that FedCSIS 2020 will take place, the submitted and accepted papers will be published and sent for indexations as usual. In case the conference cannot be staged in real setting of beautiful Sofia, we will provide a virtual web-based avenue for it. We look forward to receiving your contributions as usual and guarantee that FedCSIS 2020 will be another memorable and rewarding conference. FedCSIS organizers ************************************************************************ Please feel free to forward this announcement to your colleagues and associates who could be interested in it. KEY FACTS: expected Proceedings: IEEE Digital Library; indexing: Web of Science (since 2012); 22 Technical Sessions in 5 Tracks; Doctoral Symposium; conference fee covers 4 lunches and 3 social events; Sofia ? capital of Bulgaria, city history goes back to Roman times (with some, recently uncovered and made available to see, fascinating ruins of Serdika ? which is how Sofia was known during Tracian and Roman times). FedCSIS is an annual international conference, this year organized jointly by the Polish Information Processing Society (PTI), IEEE Poland Section Computer Society Chapter and Bulgarian Academy of Sciences. The mission of the FedCSIS Conference Series is to provide a highly acclaimed forum in computer science and information systems. We invite researchers from around the world to contribute their research results and participate in Technical Sessions focused on their scientific and professional interests in computer science and information systems. As in the previous years, FedCSIS 2020 will host a data mining challenge. It will be organized on a, recently re-designed, Knowledge Pit platform: https://knowledgepit.ml The specific topic will be announced shortly, please check the competition site (or the conference portal). There will also be a special session devoted to this challenge at the FedCSIS 2020 conference. Since 2012, Proceedings of the FedCSIS conference are indexed in the Web of Science, SCOPUS and other indexing services. This already includes Proceedings of FedCSIS 2018 (we are awaiting the decision for the FedCSIS 2019). Information about FedCSIS indexing / bibliometry / rankings can be found at: https://www.fedcsis.org/2020/indexation. FedCSIS TRACKS AND TECHNICAL SESSIONS The FedCSIS 2020 consists of five conference Tracks, hosting Technical Sessions: Track 1: Artificial Intelligence * Advanced Artificial Intelligence in Applications (15th Symposium AAIA'20) * Advances in Semantic Information Retrieval (9th International Workshop ASIR'20) * Formal Approaches to Vagueness in Relation to Mereology (1st Symposium FVRM'20) * Language Technologies and Applications (5th Workshop LTA'20) * Computational Optimization (13th Workshop WCO'20) Track 2: Computer Science & Systems * Advances in Computer Science & Systems (ACSS'20) * Actors, Agents, Assistants, Avatars (1st Workshop 4A'20) * Computer Aspects of Numerical Algorithms (13th Workshop CANA'20) * Multimedia Applications and Processing (13th Symposium MMAP'20) * Scalable Computing (11th Workshop WSC'20) Track 3: Network Systems and Applications * Advances in Network Systems and Applications (ANSA'20) * Internet of Things - Enablers, Challenges and Applications (4rd Workshop IoT-ECAW'20) * Cyber Security, Privacy and Trust (1st International Forum NEMESIS'20) Track 4: Information Systems and Technologies * Advances in Information Systems and Technologies (AIST'20) * Data Science in Health (DSH'19) (2nd Special Session DSH'20) * Information Systems Management (15th Conference ISM'20) * Knowledge Acquisition and Management (26th Conference KAM'20) Track 5: Software and System Engineering * Advances in Software and System Engineering (ASSE'20) * Cyber-Physical Systems (7th Workshop IWCPS?20) * Lean and Agile Software Development (4th International Conference LASD'20) * Model Driven Approaches in System Development (6th Workshop MDASD'20) * Software Engineering (40th IEEE Workshop SEW?20) Track 6: DS-RAIT'20 - 7th Doctoral Symposium on Recent Advances in Information Technology KEYNOTE SPEAKERS * Christian Blum, Artificial Intelligence Research Institute (IIIA-CSIC), Barcelona, Spain Keynote title: Are you a Hybrid? Yes, of course, everyone is a Hybrid nowadays! * George Boustras, European University Cyprus Keynote title: Critical Infrastructure Protection ? on the interface of safety and security * Hans-Georg Fill, University of Fribourg, Switzerland Keynote title: From Digital Transformation to Digital Ubiquity: The Role of Enterprise Modeling PAPER SUBMISSION AND PUBLICATION + Papers should be submitted by May 15, 2020 (strict deadline, no extensions, submission system will be opened in the first week of March). + Preprints will be published on a USB memory stick and provided to the FedCSIS participants. + Only papers presented during the conference will be submitted to the IEEE for inclusion in the Xplore Digital Library. Furthermore, proceedings, published in a volume with ISBN, ISSN and DOI numbers, will posted within the conference Web portal. Moreover, most Technical Session organizers arrange quality journals, edited volumes, etc., and may invite selected extended and revised papers for post-conference publications (information can be found at the websites of individual events, or by contacting Chairs of said events). IMPORTANT DATES + Paper submission (strict deadline): May 15, 2020, 23:59:59 pm HST (there will be no extension) + Position paper submission: June 9, 2020 + Author notification: June 30, 2020 + Final paper submission and registration: July 15, 2020 + Conference date: September 6-9, 2020 CHAIRS OF FedCSIS CONFERENCE SERIES Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki CONTACT FedCSIS at: secretariat at fedcsis.org FedCSIS in Social Media: FedCSIS on Facebook: http://tinyurl.com/FedCSISFacebook FedCSIS on LinkedIN: https://tinyurl.com/FedCSISonLinkedIN FedCSIS on Twitter: https://twitter.com/FedCSIS FedCSIS on XING: http://preview.tinyurl.com/FedCSISonXING -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From huiyu_kang at fudan.edu.cn Thu Apr 16 22:15:42 2020 From: huiyu_kang at fudan.edu.cn (=?utf-8?Q?huiyu=5Fkang?=) Date: Fri, 17 Apr 2020 10:15:42 +0800 Subject: Connectionists: =?utf-8?q?Post-doc_Positions_=7C_Neural_and_Intel?= =?utf-8?q?ligence_Engineering_Center=2C_Institute_of_Science_and_Technolo?= =?utf-8?q?gy_for_Brain-inspired_Intelligence=2C_Fudan_University=2C_Shang?= =?utf-8?q?hai=2C_China?= Message-ID: <7EB1C661-7CCE-42DF-81B2-E94F810259EE@fudan.edu.cn> An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Thu Apr 16 17:54:54 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Thu, 16 Apr 2020 23:54:54 +0200 Subject: Connectionists: [CfP] Machine Learning and Data Mining for Sports Analytics (MLSA20) @ ECML PKDD Message-ID: An HTML attachment was scrubbed... URL: From huiyu_kang at fudan.edu.cn Thu Apr 16 22:17:26 2020 From: huiyu_kang at fudan.edu.cn (=?utf-8?Q?huiyu=5Fkang?=) Date: Fri, 17 Apr 2020 10:17:26 +0800 Subject: Connectionists: =?utf-8?q?=5BEXTERNAL=5D_One_week_until_NYC_Neuro?= =?utf-8?q?modulation_2020_Online_Conference?= Message-ID: <285D88CF-FF35-410D-B70A-7C07122E6634@fudan.edu.cn> An HTML attachment was scrubbed... URL: From h.abbass at unsw.edu.au Fri Apr 17 10:50:43 2020 From: h.abbass at unsw.edu.au (Hussein Abbass) Date: Fri, 17 Apr 2020 14:50:43 +0000 Subject: Connectionists: New Track on AI for COVID-19, IEEE Transactions on Artificial Intelligence (IEEE TAI) Message-ID: Announcing a special track (Faster Review and 1-year Free Access) in the IEEE Transactions on Artificial Intelligence (IEEE TAI), offering the AI community an opportunity to contribute to COVID-19. The reviews of the manuscripts submitted to this special track will be expedited, to the extent possible, while ensuring that all papers will abide with the same rigorous review process for IEEE TAI. If accepted, all such manuscripts will be published, free-of-charge to authors and readers, as free access for one year from the date of the publication to enable the research findings to be disseminated widely and freely to other researchers and the community at large. Submit at https://mc.manuscriptcentral.com/tai-ieee Please check authors instructions at https://cis.ieee.org/publications/ieee-transactions-on-artificial-intelligence Please choose the COVID-19 Track during submission Kind regards, Hussein Prof. Hussein Abbass, Fellow IEEE Founding Editor in Chief - IEEE Transactions on Artificial Intelligence School of Engineering and Information Technology | University of New South Wales - Canberra | Canberra, ACT 2600, Australia | Web: https://www.husseinabbass.net/ | Tel:+61-2-62688158 | Fax: +61-2-62688276 Join us at the Canberra Artificial Intelligence (CAI) Week http://canberraai.net/ and the IEEE Symposium Series on Computational Intelligence in Canberra 1-4 December 2020 http://www.ieeessci2020.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at cikm2020.org Fri Apr 17 07:03:58 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Fri, 17 Apr 2020 19:03:58 +0800 Subject: Connectionists: CIKM 2020 - Call for Tutorial Proposals - COVID19 UPDATES Message-ID: * Apologies for cross-posting * ** Call for TUTORIAL PROPOSALS In conjunction with CIKM 2020 CIKM 2020 will be a fully virtual conference, with no travel involved. Tutorial presentations will be given through live webinars with synchronized online discussions. In this context, please note the revised submission deadlines below. We encourage proposals for both half- and full-day tutorials from active researchers and experienced tutors. Ideally, a tutorial is on a specific topic of interest and will provide a self-contained overview of a topic and then cover the state of the art research and developments on the topic of interest. The general areas include, databases, information retrieval, knowledge management, and other topics of relevance for the CIKM community. Tutorial attendees will pay a separate registration fee to cover the facility costs. CIKM 2020 will provide free registration for up to two tutorial organizers. Important Dates (Updated) Tutorial proposal deadline May 1st, 2020 Tutorial proposal notification May 15th, 2020 More info: https://cikm2020.org/call-for-tutorial-proposals/ Tutorial Chairs: Besnik Fetahu, L3S Research Center, Leibniz University of Hannover, Germany Valentina Presutti, Consiglio Nazionale delle Ricerche, Italy Check our sponsorship options for an opportunity to reach out to the experts in the domain! -------------- next part -------------- An HTML attachment was scrubbed... URL: From lists at matthiasfeurer.de Fri Apr 17 08:59:19 2020 From: lists at matthiasfeurer.de (Matthias Feurer) Date: Fri, 17 Apr 2020 14:59:19 +0200 Subject: Connectionists: Deadline extension: 7th ICML Workshop on Automated Machine Learning (AutoML 2020) In-Reply-To: References: Message-ID: <48238e3c-5c26-a679-d389-5ac759869bd9@matthiasfeurer.de> Dear all, We would like to notify you that we extended the submission deadline for the AutoML workshop at ICML'20 by roughly a month because because as ICML being a virtual event, we do not need to budget time for visa applications. *The new submission deadline will be May 20th and the author notification on June 17th.* For more details, please see the email below and the workshop website icml2020.automl.org On behalf of the organizing committee, Matthias Feurer On 28.03.20 18:06, Frank Hutter wrote: > Dear all, > > We're happy to announce the 7th ICML Workshop on Automated Machine > Learning (AutoML), which will be held on July 17 or July 18, 2020, as > part of the ICML conference (as a virtual event, like ICML). > > Machine learning has achieved considerable successes in recent years, > but this success often relies on human experts, who construct > appropriate features, design learning architectures, set their > hyperparameters, and develop new learning algorithms. Driven by the > demand for off-the-shelf machine learning methods from an ever-growing > community, the research area of AutoML targets the progressive > automation of machine learning aiming to make effective methods > available to everyone. Hence, the workshop targets a broad audience > ranging from core machine learning researchers in different fields of > ML connected to AutoML, such as neural architecture search, > hyperparameter optimization, meta-learning, and learning to learn, to > domain experts aiming to apply machine learning to new types of problems. > > *We invite submissions on the topics of:* > > * ??? Model selection, hyper-parameter optimization, and model search > * ??? Neural architecture search > * ??? Meta-learning and transfer learning > * ??? Bayesian optimization for AutoML > * ??? Evolutionary algorithms for AutoML > * ??? Multi-fidelity optimization > * ??? Predictive models of performance > * ??? Automatic feature extraction / construction > * ??? Automatic data cleaning > * ??? Automatic generation of workflows / workflow reuse > * ??? Automatic problem "ingestion" (from raw data and miscellaneous > formats) > * ??? Automatic feature transformation to match algorithm requirements > * ??? Automatic acquisition of new data (active learning, > experimental design) > * ??? Automatic report generation (providing insight on automatic > data analysis) > * ??? Automatic selection of evaluation metrics / validation procedures > * ??? Automatic selection of algorithms under time/space/power > constraints > * ??? Automatic construction of fair and unbiased machine learning > models > * ??? Automation of semi-supervised and unsupervised machine learning > * ??? Demos of existing AutoML systems > * ??? Robustness of AutoML systems (w.r.t. Randomized algorithms, > data, hardware etc.) > * ??? Human-in-the-loop approaches for AutoML > * ??? Learning to learn new algorithms and strategies > * ??? Hyperparameter agnostic algorithms > > *Submission Format* > > We welcome submissions of up to 6 pages in JMLR Workshop and > Proceedings format (plus 10 pages for references and appendix). All > accepted papers will be presented as posters. We will invite the 2-3 > best papers for an oral plenary presentation. We will provide PDFs of > accepted papers on http://icml2020.automl.org/, but there will be no > archival proceedings. For submission details please see the submission > page. > > *Remark on COVID-19* > > Due to the Covid-19 pandemic, ICML will be an entirely virtual > conference this year (https://icml.cc/Conferences/2020/VirtualICML), > and the AutoML workshop will follow suit. We are in contact with the > ICML organizers about how this will pan out exactly and will inform > you as soon as possible. We provide up-to-date information on > http://icml2020.automl.org > > *Keynote Speakers* > > * ??? Alex Smola (Director, Amazon Web Services) > * ??? Mihaela van der Schaar (Professor of Machine Learning, > Artificial Intelligence and Medicine at the University of Cambridge) > * ??? Neil Lawrence (DeepMind Professor of Machine Learning at the > University of Cambridge and visiting Professor at the University > of Sheffield) > > ** > > *Organization* > Katharina Eggensperger, Matthias Feurer, Frank Hutter, Marius > Lindauer, and Joaquin Vanschoren and Charles Weill > > *Location* > > The 7th ICML workshop on AutoML will be co-located with the 37th > International Conference on Machine Learning (ICML 2020) and will take > place on July 17th or 18th.* > * > > *Important Dates* > > Deadline: April 23rd (Anywhere on earth) > Notification: May 25th (Anywhere on earth) > > On behalf of the organizing committee, > Frank Hutter > -------------- next part -------------- An HTML attachment was scrubbed... URL: From iscmi.2020 at gmail.com Sat Apr 18 18:03:38 2020 From: iscmi.2020 at gmail.com (ISCMI Publicity) Date: Sun, 19 Apr 2020 00:03:38 +0200 Subject: Connectionists: CFP - ISCMI 2020, Stockholm Message-ID: Dear colleagues, The *7th International Conference on Soft Computing and Machine Intelligence (ISCMI 2020)* will be held in Stockholm, Sweden (14th-15th Nov, 2020 - http://iscmi.us/index.html). lSCMl is the annual flagship event of llCCl (http://www.iicci.in/) and is held annually since 2017 in memory of life & work of Prof. Lotfi Zadeh. IEEE Sweden Section, IEEE Computational Intelligence Society & IFSA are the technical co-sponsors for the event. *Submission Deadline* 25th June 2020 Notification date: July 20, 2020 *Proceedings* The proceedings of all the previous 6 lSCMl conferences are available on IEEE Xplore. Apart from the lEEE published proceedings & availability at Xplore, there is scope for a selected subset of papers to be considered for publication at a special issue of the NCAA journal (a Springer publication with 2018 Impact Factor & 5 year Impact Factor of 4.664 & 3.570 respectively https://www.springer.com/journal/521). *Prof. Zadeh Memorial lecture * The annual llCCl Prof. Zadeh Memorial lecture at ISCMI 2020 will be delivered by Prof. B-M Bernadette, the current President of IEEE Computational Intelligence Society (Life Fellow, IEEE & also Fellow, IFSA). We hope to see you in Stockholm later this year! Best regards, ISCMI 2020 Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From sontn.fz at gmail.com Sun Apr 19 01:17:12 2020 From: sontn.fz at gmail.com (Tran Son) Date: Sun, 19 Apr 2020 15:17:12 +1000 Subject: Connectionists: Call for Papers: 2020 Principle and Practice of Data and Knowledge Acquisition Workshop (PKAW2020) Message-ID: <2B422624-D9C3-43E9-AF31-00EAB74717B6@gmail.com> Call for Papers: 2020 Principle and Practice of Data and Knowledge Acquisition Workshop (PKAW2020), 11-12 July 2020, Yokohama, Japan PKAW2020 is a workshop under IJCAI/PRICAI2020 PKAW (Principle and Practice of Data and Knowledge Acquisition Workshop) was established in 1980s as an integral part of PRICAI (Pacific Rim International Conference on Artificial Intelligence). PKAW2020 will be held as a workshop of the joint conference IJCAI/PRICAI2020 at Yokohama, Japan. Wide range of multidisciplinary topics concerning knowledge acquisition from data and/or human experts together with data acquisition, data representation etc. are greatly welcome. ? IMPORTANT DATES: -?????????? Submission Due: April 25, 2020 (Final paper submission will close at 11:59 PM GMT) -?????????? Notification: May 25, 2020 -?????????? Camera Ready Due: June 5, 2020 -?????????? Workshop Date: July, 2020 TOPICS OF INTEREST All aspects of knowledge acquisition, data engineering and management for intelligent systems, including (but not restricted to): - Fundamental views on knowledge that affect the knowledge acquisition process and the use of knowledge in knowledge engineering - Algorithmic approaches to knowledge acquisition - Tools and techniques for knowledge acquisition, knowledge maintenance and knowledge validation - Evaluation of knowledge acquisition techniques, tools and methods - Languages and frameworks for knowledge and knowledge modelling information systems or decision support systems - Methods and techniques for sharing and reusing knowledge - Ontology and its role in knowledge acquisition - Mining the Semantic Web, the Linked Data and the Web of Data - Hybrid approaches combining knowledge engineering and machine learning - Innovative user interfaces - Data acquisition - Data analytics and mining - Multimedia data acquisition and analysis - Data representation - Big data acquisition and analysis - Learning from big data - Crowd-sourcing for data generation and problem solving - Software engineering and knowledge engineering - Algorithms, tools and techniques for machine intelligence - Knowledge acquisition applications tested and deployed in in real-life settings PAPER SUBMISSION: PKAW will not accept any paper that, at the time of submission, is under review for, has already been published in, or has already been accepted for publication in, a journal or another venue with formally published proceedings. If part of the work has been previously published, authors are strongly encouraged to cite and compare/contrast the new contributions with the parts that were already published before. The paper must substantially extend the previously published work. ? All papers for the review should be submitted electronically using the conference management tool in PDF/DOC format and formatted using the Springer LNAI template or IJICAI template. The paper should be between 10 to 15 pages long. Camera ready for accepted papers should be submitted using only the Springer LNAI template. For Springer LNAI format templates, please see the Springer?s website: http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Page limit: Full paper: 12-15 pages Short paper: 8 pages Submission will be through the Easychair conference management system: https://easychair.org/conferences/?conf=pkaw2020 POST-PROCEEDINGS PUBLICATION: The post-proceedings of PKAW2020 will be published in the LNAI series of Springer ORGANIZING COMMITTEE: Honorary Chairs: ?????????? Prof. Paul Compton, University of New South Wales, Australia ?????????? Prof. Hiroshi Motoda, Osaka University, Japan Advisory Committee: ?????????? Prof. Maria R Lee, Shih Chien University, Taiwan ?????????? Prof. Kenichi Yoshida, University of Tsukuba, Japan ?????????? Prof. Byeong-Ho Kang, University of Tasmania, Australia ?????????? Prof. Deborah Richards, Macquarie University, Australia Workshop Co-chairs: ?????????? A/Prof. Quan Bai, University of Tasmania, Australia ?????????? Prof. Hiroshi Uehara, Akita Prefectural University, Japan Publicity Chairs: ?????????? Dr. Soyeon Caren Han, University of Sydney, Australia ?????????? Dr. Son Tran, University of Tasmania, Australia ?????????? A/Prof. Weiwei Yuan, Nanjing University of Aeronautics and Astronautics, China ?????????? Dr. Takayasu Yamaguchi, Senior Research Engineer, NTT DOCOMO, Inc., Japan Webmaster: ?????????? Mr. Shiqing Wu, University of Tasmania, Australia CONTACT: A/Prof. Quan Bai: quan.bai at utas.edu.au Prof. Hiroshi Uehara: uehara at akita-pu.ac.jp Dr. Takayasu Yamaguchi: yamasound at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From elio.tuci at gmail.com Sun Apr 19 04:18:31 2020 From: elio.tuci at gmail.com (Elio Tuci) Date: Sun, 19 Apr 2020 10:18:31 +0200 Subject: Connectionists: PhD position at University of Namur in bio-inspired robotics, Alife Message-ID: A PhD position (assistant, teaching + research) is available at University of Namur, Belgium, in the Department of Computer Science (https://www.unamur.be/en/inf). See : https://jobs.unamur.be/emploi.2020-04-02.8378012218 Position reference number: 296-03 ? Intelligent systems (swarm intelligence or swarm robotics) - Syst?mes intelligents (swarm intelligence ou robotique en essaim). The candidate should have, or being close to complete, a Master or equivalent (Master of 120 ECTS), in computer science or related fields. The candidate is expected to contribute to research in bio-inspired robotics. Good English language skills are necessary. The official language of the University is French. The candidate should know French or being ready to learn French within the first year of contract. Funding is offered by the University of Namur for initially two years, renewable two times (6 years in total). The candidate is expected to contribute to teaching within the Faculty of Informatics and to complete a PhD program. The starting date is September 2020 or soon thereafter. Deadline 3rd May 2020. For further information, please contact Prof Elio Tuci (elio.tuci at unamur.be) Regards, Elio Tuci From marcin at amu.edu.pl Sun Apr 19 14:52:02 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 19 Apr 2020 20:52:02 +0200 Subject: Connectionists: Call for Papers --> Information Systems and Technologies IST'2020 --> Deadline --> May 15, 2020 In-Reply-To: References: Message-ID: ************************** COVI-19 Information ************************* We would like to assure everybody that FedCSIS 2020 will take place, the submitted and accepted papers will be published and sent for indexations as usual. In case the conference cannot be staged in real setting of beautiful Sofia, we will provide a virtual web-based avenue for it. We look forward to receiving your contributions as usual and guarantee that FedCSIS 2020 will be another memorable and rewarding conference. FedCSIS organizers ************************************************************************ Track 4: Information Systems and Technologies IST'2020 within 15th Conference on Computer Science and Information Systems FedCSIS'2020 Bulgarian Academy of Sciences, Sofia, Bulgaria 06-09 September 2020 https://fedcsis.org/2020/ist Dear friends and colleagues, Are you interested in sharing and discussing your research on integrating and creating synergy between disciplines of information technology, information systems, and social sciences, i.e. economics, management, business, finance, and education? If yes, then please consider submitting our Track 4 IST'2020. The track addresses the issues relevant to information technology and necessary for practical, everyday needs of business, other organizations and society at large. This track takes a socio-technical view on information systems and, at the same time, relates to ethical, social and political issues raised by information systems. It seeks new studies in many disciplines to foster a growing body of conceptual, theoretical, experimental, and applied research that could inform design, deployment and usage choices for information systems and technology within business and public organizations as well as households. Extended versions of high-marked papers presented at technical sessions of IST 2015-2019 have been published with Springer in volumes of Lecture Notes in Business Information Processing: LNBIP 243, LNBIP 277, LNBIP 311, LNBIP 346, and LNBIP 380. Extended versions of selected papers presented during IST'2020 will be published in Lecture Notes in Business Information Processing series (LNBIP, Springer) -- volume HAS BEEN APPROVED. Authors can submit their paper to the technical sessions: Advances in Information Systems and Technology (AIST'20), https://www.fedcsis.org/2020/aist; Data Science in Health, Ecology and Commerce (DSH'19) (2nd Special Session DSH'20), https://www.fedcsis.org/2020/dsh; Information Systems Management (15th Conference ISM'20), https://www.fedcsis.org/2020/ism; Knowledge Acquisition and Management (26th Conference KAM'20), https://www.fedcsis.org/2020/kam; Important dates: Paper submission (sharp / no extension): May 15, 2020 Position paper submission: June 9, 2020 Author notification: June 30, 2020 Final paper submission and registration: July 15, 2020 Conference date: September 6-9, 2020 Chairs of IST'2020 Track: Ewa Ziemba, University of Economics in Katowice, Poland Guangming Cao, Ajman University, United Arab Emirates Daphne Raban, University of Haifa, Israel -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From emmanuel.vincent at inria.fr Mon Apr 20 02:46:34 2020 From: emmanuel.vincent at inria.fr (Emmanuel Vincent) Date: Mon, 20 Apr 2020 08:46:34 +0200 Subject: Connectionists: 2nd CFP -- Special Issue on Advances in Deep Learning Based Speech Processing Message-ID: NEURAL NETWORKS https://www.journals.elsevier.com/neural-networks Special issue on *Advances in Deep Learning Based Speech Processing * *Deadline: June 30, 2020* Deep learning has triggered a revolution in speech processing. The revolution started from the successful application of deep neural networks to automatic speech recognition, and quickly spread to other topics of speech processing, including speech analysis, speech denoising and separation, speaker and language recognition, speech synthesis, and spoken language understanding. This tremendous success has been achieved thanks to the advances in neural network technologies as well as the explosion of speech data and fast development of computing power. Despite this success, deep learning based speech processing still faces many challenges for real-world wide deployment. For example, when the distance between a speaker and a microphone array is larger than 10 meters, the word error rate of a speech recognizer may be as high as over 50%; end-to-end deep learning based speech processing systems have shown potential advantages over hybrid systems, however, they require large-scale labelled speech data; deep learning based speech synthesis has been highly competitive with human-sounding speech and much better than traditional methods, however, the models are not stable, lack controllability and are still too large and slow to be deployed onto mobile and IoT devices. Therefore, new methods and algorithms in deep learning and speech processing are needed to tackle the above challenges, as well as to yield novel insights into new directions and applications. This special issue aims to accelerate research progress by providing a forum for researchers and practitioners to present their latest contributions that advance theoretical and practical aspects of deep learning based speech processing techniques. The special issue will feature theoretical articles with novel new insights, creative solutions to key research challenges, and state-of-the-art speech processing algorithms/systems that demonstrate competitive performance with potential industrial impacts. The ideas addressing emerging problems and directions are also welcome. *Topics of interest* for this special issue include, but are not limited to: ? ? Speaker separation ? ? Speech denoising ? ? Speech recognition ? ? Speaker and language recognition ? ? Speech synthesis ? ? Audio and speech analysis ??? Multimodal speech processing *Submission instructions: * Prospective authors should follow the standard author instructions for Neural Networks, and submit manuscripts online at https://www.editorialmanager.com/neunet/default.aspx. Authors should select ?VSI: Speech Based on DL" when they reach the "Article Type" step and the "Request Editor" step in the submission process. *Important dates: * June 30, 2020 - Submission deadline September 30, 2020 - First decision notification November 30, 2020 - Revised version deadline December 31, 2020 - Final decision notification March, 2021 - Publication *Guest Editors: * Xiao-Lei Zhang, Northwestern Polytechnical University, China Lei Xie, Northwestern Polytechnical University, China Eric Fosler-Lussier, Ohio State University, USA Emmanuel Vincent, Inria, France -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Mon Apr 20 10:10:10 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Mon, 20 Apr 2020 16:10:10 +0200 Subject: Connectionists: [CfP] ICLP2020 Main Track: The 36th International Conference on Logic Programming Message-ID: [Apologies for cross-posting] /_IMPORTANT NOTE:_//The conference general chairs together with the program////chairs and the ALP Executive, have decided to hold ICLP2020 as a fully////virtual conference on the original week. More details will be forthcoming./ ======================================================== *Call for Papers** **ICLP 2020 - The 36th International Conference on Logic Programming* *September 18 - September 24, 2020* ***University of Calabria, Rende, Italy* ***https://iclp2020.unical.it * ======================================================== The 36th International Conference on Logic Programming (ICLP 2020) will take place from the 18th to the 24nd of September 2020 in Rende (CS),Italy, with the main program starting immediately after the sisterconference KR 2020. Since the first conference held in Marseille in 1982, ICLP has been the premier international event for presenting research in logic programming. *Scope* ===== Contributions are solicited in all areas of logic programming and related areas, including but not restricted to: _Foundations:_**Semantics, Formalisms, Answer-Set Programming, Non-monotonic Reasoning, Knowledge Representation.** _Declarative Programming__:_ Inference engines, Analysis, Type and mode inference, Partial evaluation, Abstract interpretation, Transformation, Validation, Verification, Debugging, Profiling, Testing, Logic-based domain-specific languages, constraint handling rules.* *_Related Paradigms and Synergies__:_ Inductive and Co-inductive Logic Programming, Constraint Logic Programming, Interaction with SAT, SMT and CSP solvers, Logic programming techniques for type inference and theorem proving, Argumentation, Probabilistic Logic Programming, Relations to object-oriented and Functional programming, Description logics, Neural-Symbolic Machine Learning, Hybrid Deep Learning and Symbolic Reasoning.* *_Implementation__:_ Concurrency and distribution, Objects, Coordination, Mobility, Virtual machines, Compilation, Higher Order, Type systems, Modules, Constraint handling rules, Meta-programming, Foreign interfaces, User interfaces.* *_Applications__:_ Databases, Big Data, Data Integration and Federation, Software Engineering, Natural Language Processing, Web and Semantic Web, Agents, Artificial Intelligence, Bioinformatics, Education, Computational life sciences, Education, Cybersecurity, and Robotics. * * *Tracks and Special Sessions* ======================== Besides the main track, ICLP 2020 will host additional tracks and special sessions:* *_Applications Track:_This track invites submissions of papers on emerging and deployed applications of LP, describing all aspects of the development, deployment, and evaluation of logic programming systems to solve real-world problems, including interesting case studies and benchmarks, and discussing lessons learned.* *_Sister Conferences and Journal Presentation Track__:_ This track provides a forum to discuss important results related to logic programming that appeared recently (from January 2017 onwards) in selective journals and conferences but have not been previously presented at ICLP.* *_Special Session: Women in Logic Programming__:_ This special session will include invited talks and presentations by women in logic programming.** **_Research Challenges in Logic Programming Track:_**This track invites submissions of papers describing research challenges that an individual researcher or a research group is currently attacking. The goal of the track is to promote discussions, exchange of ideas, and possibly stimulate new collaborations. Papers submitted to this track do not go through the usual review and will not be published in the proceedings ? they will be distributed at the conference as a technical report. Every of the above four tracks will have its own dedicated chairs, PC, evaluationcriteria, and CFP with related submission details (see the specific call for papers). In addition to the presentations of accepted papers, the technical program willinclude invited talks, advanced tutorials, the doctoral consortium, and severalworkshops. *Submission Details* ================= All submissions must be made via the EasyChair conference system:https://easychair.org/conferences/?conf=iclp20200 . Regular papers must be in the condensed TPLP format (template here) and not exceed14 pages including bibliography. Regular papers may be supplemented with appendices for proofs and details of datasets which do not count towards the page limit andwhich will not be made available as appendices to the published paper. Three kinds of regular papers will be accepted: ? Technical papers for technically sound, innovative ideas that can advance thestate of logic programming; ? Application papers that impact interesting application domains; ? System and tool papers which emphasize novelty, practicality, usability, and availability of the systems and tools described. Application, system, and tool papers need to be clearly marked in their title. All submissions must be written in English and describe original, previouslyunpublished 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. Papers of the highest quality will be selected to be published in the journal of Theory and Practice of Logic Programming (TPLP), Cambridge University Press (CUP). In order to ensure the quality of the final version, papers may be subject to more than one round of refereeing (within the decision period). The program committee may recommend some regular papers to be published as Technical communications in EPTCS format (http://info.eptcs.org ). Technical communications must not exceed 14 pages, including the bibliography. The authors of the technical communications can also elect to convert their submissions into extended abstracts, of 2 or 3 pages, for inclusion in the EPTCS proceedings. This should allow authors to submit a long version elsewhere. All regular papers and technical communications will be presented during theconference. So, at least one author per accepted paper is expected to register andattend the conference. Authors of accepted papers will, by default, be automatically included in the list of ALP members, who will receive quarterly updates from theLogic Programming Newsletter at no cost. *Important Dates* ============== Abstract registration (regular papers): May 8, 2020 Paper submission (regular paper): May 15, 2020 Notification to authors (regular paper): June 19, 2020 Paper Submission (short papers): June 30, 2020 Revision submission (TPLP papers): July 6, 2020 Final notifications (TPLP papers): July 17, 2020 Camera-ready copy due: July 27, 2020 Main Conference starts: September 19, 2020 *Autumn School on Logic Programming* ================================= A school on logic programming will be held before the conference. More up to date information is available at the school web page. *Doctoral Consortium* ================== The 16th Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. Accepted participants will receive partialfinancial support to attend the event and the main conference. The best paper fromthe DC will be given the opportunity to make a presentation in a session of the main ICLP conference. The DC will have its own CFP, including the submission details. For information,please visit the DC Web Page. *Workshops* ========= The ICLP 2020 program will include several workshops. They are perhaps the best places for the presentation of preliminary work, underdeveloped novel ideas, and new openproblems to an interested audience with opportunities for intensive discussions andproject collaborations. *Tutorials* ======== The ICLP 2020 program will include several tutorials. They offer the participants, reviews of specific subfields as well as hands-on sessions by leading experts. *Conference Organization* ===================== General Chairs: ? Sergio Greco, University of Calabria, Italy ? Nicola Leone, University of Calabria, Italy Program Chairs: ? Francesco Ricca, University of Calabria, Italy ? Alessandra Russo, Imperial College London Organizing Chairs: ? Marco Calautti, University of Calabria, Italy ? Carmine Dodaro, University of Calabria, Italy Publicity Chair: ? Laura Pandolfo, University of Sassari, Italy -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomislav.milekovic at epfl.ch Mon Apr 20 11:14:13 2020 From: tomislav.milekovic at epfl.ch (Milekovic Tomislav) Date: Mon, 20 Apr 2020 15:14:13 +0000 Subject: Connectionists: PhD position at EPFL (Lausanne, Switzerland) Message-ID: PhD position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) A computational approach to personalize and optimize clinical treatments for restoring locomotion to people paralyzed by spinal cord injury Location: The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded PhD position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. PhD salaries at EPFL rank the highest in the world. Description: A therapy based on epidural electrical stimulation (EES) of the spinal cord can restore the ability to walk to people paralyzed by spinal cord injury. EES does this by recruiting sensory axons within dorsal spinal roots that enter the spinal cord between the vertebrae. Yet, clinically available electrode arrays used to deliver the EES were not designed to target individual spinal roots. Data driven design of the electrode arrays has the potential to substantially improve the specificity of spinal EES and, therefore, dramatically improve the recovery of people with spinal cord injury. The efficacy of EES could be further enhanced through computational algorithms capable of designing EES protocols that fully utilize the interaction between the electrode array and patient's anatomy. These two developments are critical for deployment of the EES-based therapy to clinics around the world to help millions of people suffering from spinal cord injury. We have created a computational pipeline capable of creating detailed computational models of individual persons' spinal columns from MRI scans and fMRI recordings. These hybrid models are composed of 3D finite element models (FEM) to characterize the electric current and potential in the spinal cord of individuals, and various abstractions of compartmental cable models and network models of spinal cord neuronal populations and their connections to calculate the effects of EES on the spinal networks and, in turn, the activation of muscles. This computational approach has the potential to optimize the efficacy of EES on a personalized basis, lead to novel superior electrode array designs, and further our understanding of the mechanisms by which spinal cord controls movement. The successful candidate will work to automatize our computational pipeline in order to make the described approaches useful in applied clinical practice. They will work on the development of efficient and robust computer vision algorithms to automatically segment medical imaging datasets. They will also further develop our computational pipeline to enable automatic definition of personalized EES stimulation protocols. Furthermore, they will implement a computational framework around our pipeline that can perform a large-scale and diverse sensitivity and uncertainty analysis. This framework will be critical to enhance the efficacy and explore possible novel applications of spinal cord EES. Prerequisites: - Master's Degree in Physics, Computer Science, Mathematics, Microengineering, Electrical Engineering or related - Proficiency in Python, Matlab and C++ - Experience with Finite Element Models, compartmental cable models, neurobiomechanical models and Machine Learning Contact: Applications including a CV and a cover letter should be sent to andreas.rowald at epfl.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Tue Apr 21 01:21:50 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 21 Apr 2020 05:21:50 +0000 Subject: Connectionists: SBP-BRiMS'2020: New dates for the conference In-Reply-To: References: , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies We hope this email finds you well. We also hope that everyone is safe and healthy. Given the recent disruptions caused by the COVID-19 pandemic, we would like to announce some changes related to this year's SBP-BRiMS conference (http://sbp-brims.org/). New Conference Dates: 2020 SBP-BRiMS conference: October 18 - 21, 2020 October 18: Tutorials October 19 - 21: Main conference. Venue: No change. Still at George Washington University, Washington DC, USA Two New Special Tracks: Validation Track: For details, see the CFP at the conference website: http://sbp-brims.org/ COVID-19 Pandemic Track: For details, see the CFP at the conference website: http://sbp-brims.org/ Deadline for Short Papers, Special Track Papers, Doctoral Consortium: August 15, 2020 Conference Format: The conference is still being planned as an in-person meeting. COVID-19 contingency plan: If, for whatever reason, we are unable to hold a live meeting in Washington DC, we will hold a virtual meeting on the indicated dates via ZOOM. We look forward to seeing you all in October. Don Adjeroh SBP-BRiMS Publicity Chair ________________________________ From: Donald Adjeroh Sent: Friday, March 13, 2020 5:55 PM To: don at csee.wvu.edu Subject: SBP-BRiMS'2020: Message from Conference Chair on the Coronavirus Apologies if you receive multiple copies Dear SBP-BRiMS community, I am sure you are all wondering if SBP-BRiMS 2020 (http://sbp-brims.org/) will still occur or be changed in some way given the COVID-19 pandemic. At this point, we still plan to hold an in person meeting in July. However, the organizing committee is monitoring the situation closely. We are also in consultation with organizers of other conferences to make sure we are considering all of the relevant issues. More information is coming out from the CDC and WHO regularly, that we are also considering. Should we decide that it is in the community?s best health interest to cancel, or go to an on-line meeting, we will let you know. We will send out regular updates. Sincerely and with all due respect, Kathleen M. Carley Professor, Carnegie Mellon University, PA, USA SBP-BRIMS Conference Co-Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From william.smith at york.ac.uk Tue Apr 21 02:31:44 2020 From: william.smith at york.ac.uk (William Smith) Date: Tue, 21 Apr 2020 07:31:44 +0100 Subject: Connectionists: Final CFP: BMVC 2020 - British Machine Vision Conference Message-ID: A final reminder about the upcoming (BMVC) 2020 deadline. For more information please consult the BMVC 2020 website - https://bmvc2020.github.io/. Timeline: Deadline Date Paper Abstracts Thursday 23rd April Paper Submission Thursday 30th April Reviews Submitted Thursday 4th June Area Chair Decisions Thursday 25th June Author Notifications Thursday 2nd July Camera Ready Thursday 23rd July Conference 7th - 11th September Call for Papers: The British Machine Vision Conference (BMVC) is one of the major international conferences on computer vision and related areas. It is organised by the British Machine Vision Association (BMVA). The 31st BMVC is planned to be held in Manchester, 7th?11th Sept 2020. Authors are invited to submit full-length high-quality papers in image processing, machine vision, and related areas for 2020 British Machine Vision Conference. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation. All papers will be reviewed doubly blind, normally by three members of our international programme committee. Please note that BMVC is a single track meeting with oral and poster presentations and will include three keynote presentations and two tutorials. Please Note: In keeping with conferences in the field (e.g. NeurIPS 2020: https://medium.com/@NeurIPSConf/getting-started-with-neurips-2020-e350f9b39c28 and to cope with the increasing number of submissions, we ask that all authors be prepared to review papers and make use of a compulsory abstract submission deadline a week before the paper submission deadline. The CMT submission site will ask authors to acknowledge this commitment and failure to engage with the reviewing process might be grounds for rejection. Topics include, but are not limited to: Statistics and machine learning for vision Stereo, calibration, geometric modelling and processing Face and gesture recognition Early and biologically inspired vision Motion, flow and tracking Segmentation and grouping Model-based vision Image processing techniques and methods Texture, shape and colour Video analysis Document processing and recognition Vision for quality assurance, medical diagnosis, etc. Vision for visualisation, interaction, and graphics Object detection and recognition Shape-from-X Video analysis for action and event recognition Illumination and reflectance Deep learning for vision 3D computer vision RGBD analysis Accepted papers will be included in the conference proceedings published and DOI indexed by BMVA. Past proceedings can be found online: https://britishmachinevisionassociation.github.io/bmvc The abstract deadline is Thursday 23rd April 2020 and the paper submission deadline is Thursday 30th April 2020 (both 23:59, Pacific Time). Selected best papers are invited to a special issue of the International Journal of Computer Vision (IJCV) for BMVC 2020 Best Papers. Any queries to the Programme Chairs should be sent to - bmvc-2020-pc at lists.bath.ac.uk The BMVC 2020 Programme Chairs are: Neill Campbell (University of Bath), Lourdes Agapito (University College London), William Smith (University of York), Martin Fergie (University of Manchester), Moi Hoon Yap (Manchester Metropolitan University), Oisin Mac Aodha (University of Edinburgh) COVID-19 Update: Based on the latest information we have available, our expectation is that BMVC will take place as a virtual conference this year, occurring at the original dates: 7th - 11th September. As detailed on the website FAQ, the plan is for the submission and review process to proceed as normal. We are not intending to extend the deadline so would like to remind everyone about the abstract deadline this Thursday 23rd April (23:59 PT) and the paper submission deadline the following week (Thursday 30th April, 23:59 PT). All papers will be reviewed as for a standard conference and no authors will be disadvantaged due to any travel restrictions. We anticipate that the entire conference will be virtual with remote presentations and attendance. To simplify the delivery, we have taken the decision not to have workshops this year. Workshop organisers might be interested in submitting a proposal for a BMVA one-day meeting when the situation returns to normal. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkoprinkova at yahoo.com Tue Apr 21 05:01:54 2020 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Tue, 21 Apr 2020 09:01:54 +0000 (UTC) Subject: Connectionists: INISTA 2020 - deadline extension References: <612242004.161606.1587459714385.ref@mail.yahoo.com> Message-ID: <612242004.161606.1587459714385@mail.yahoo.com> NEW SUBMISSION DATE: 6th May INISTA ?20 ? International Conference on INovations in Intelligent SysTems and Applications August 24?26, 2020, Novi Sad, Serbia:?http://inista.org/index.html Technically Co-Sponsored by the IEEE SMC Society KEEP STRnOG SPIRIT, BE HEALTHY, CONTINUE WITH PROFESSIONAL ACTIVITIES Visit and experience one of few non-EU countries CONTACT:? ? ??inista2020 at pmf.uns.ac.rs;?mira at dmi.uns.ac.rs A one-page leaflet of the conference in PDF format can be downloaded?http://inista.org/images/cfp.png -------------------------------------------------------------------------------------------------------------------- PROCEEDINGS:? INISTA 2020 Proceedings will be submitted to be published by the IEEE Xplore Digital Library. A one-page leaflet on the conference in PDF format can be downloaded?http://inista.org/images/cfp.png -------------------------------------------------------------------------------------------------------------------- PROCEEDINGS:? INISTA 2020 Proceedings will be submitted to be published by the IEEE Xplore Digital Library. BEST PAPERS will be selected for special issues of several international journals Simulation Modelling Practice and Theory -?https://www.journals.elsevier.com/simulation-modelling-practice-and-theory Cluster Computing: The Journal of Networks, Software Tools and Applications -?https://www.springer.com/journal/10586 Concurrency Computation Practice and Experience, John Wiley & Sons Ltd,?https://onlinelibrary.wiley.com/journal/15320634 ComSIS - Computer Science and Information Systems,?http://www.comsis.org/ Transactions on Computational Collective Intelligence -?https://www.springer.com/series/8851 The International Journal of Next-Generation Computing -?http://www.ijngc.perpetualinnovation.net/index.php TWO SPECIAL SESSIONS:?http://www.inista.org/special-sessions.php APART OF THE MAIN TRACK IT INCLUDES ALSO WORKSHOPS, TUTORIALS, SPECIAL SESSIONS AND PLENARY TALKS GIVEN BY INVITED SPEAKERS. -------------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Apr 21 04:52:44 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Tue, 21 Apr 2020 11:52:44 +0300 Subject: Connectionists: Last call: CVML live Web lectures 25th April 2020: 1) Introduction to Autonomous Systems 2) Introduction to Computer Vision Message-ID: <025501d617ba$39a0be40$ace23ac0$@csd.auth.gr> Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Two lectures will take place on Saturday 25th April 2020: 1) Introduction to Autonomous Systems 2) Introduction to Computer Vision Date/time: a) Saturday 11:00-12:30 EET (17:00-18:30 Beijing time) for audience in Asia and b) Saturday 20:00-21:30 EET (13:00-14:30 EST, 10:00-11:30 PST for NY/LA, respectively) for audience in the Americas. Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lectures abstract 1) Introduction to Autonomous Systems Abstract: Mission planning and control, perception and intelligence, embedded computing, swarm systems, communications and societal technologies. a) autonomous cars, b) drones and drone swarms, c) autonomous underwater vehicles d) autonomous marine vessels and e) autonomous robots. 2) Introduction to Computer Vision Abstract: image/video sampling, Image and video acquisition, Camera geometry, Stereo and Multiview imaging, Structure from motion, Structure from X, 3D Robot Localization and Mapping, Semantic 3D world mapping, 3D object localization, Multiview object detection and tracking, Object pose estimation. Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el AIIA Lab www.aiia.csd.auth.gr Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. These two lectures are part of a 14 lecture CVML web course 'Computer vision and machine learning for autonomous systems' (April-June 2020): 1. Introduction to autonomous systems 2. Introduction to computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. 3D object/building/monument reconstruction and modeling 6. Signals and systems. 2D convolution/correlation 7. Motion estimation 8. Introduction to Machine Learning 9. Introduction to neural networks, Perceptron, backpropagation 10. Deep neural networks, Convolutional NNs 11. Deep learning for object/target detection 12. Object tracking 13. Localization and mapping 14. Fast convolution algorithms. CVML programming tools. Sincerely yours Prof. Ioannis Pitas, Director of AIIA Lab, Aristotle University of Thessaloniki, Greece -------------- next part -------------- An HTML attachment was scrubbed... URL: From adeel.razi at gmail.com Tue Apr 21 05:42:19 2020 From: adeel.razi at gmail.com (Adeel Razi) Date: Tue, 21 Apr 2020 19:42:19 +1000 Subject: Connectionists: CLOSING SOON: Postdoctoral position in brain network modelling In-Reply-To: References: Message-ID: Dear all, This is a reminder regarding the postdoc position which is still open in our group and about to close on 26th April. Details below and apply here: https://tinyurl.com/srpnuk5 Best wishes, Adeel On Mon, Mar 16, 2020 at 8:03 PM Adeel Razi wrote: > Dear all, > > Are you interested in brains, networks, models, Bayes, dynamical systems, > and neuroimaging (or some combination of these) and looking for a > postdoctoral position? We have a Research Fellow position available in > Melbourne at the Turner Institute for Brain and Mental Health. > > This position is funded for two years, in the first instance, to work with > a team of collaborators at Monash University (Adeel Razi, Lead), University > of Melbourne (Andrew Zalesky) and University College London (Karl Friston). > > You will be situated within the Computational and Systems Neuroscience > Laboratory: www.adeelrazi.org. For further details see below. For > position description and applying online go here: > https://tinyurl.com/srpnuk5 > > For any informal inquiries please get in touch at adeel.razi at moansh.edu. > > Best wishes, > Adeel > > +++++++++++++++++++++++++++++++ > > *The Opportunity* > > This exciting new Research Fellow position will generate research relevant > to the development of brain connectivity analysis methods, with a focus on > Dynamic Causal Modelling (DCM), which is a framework for modelling neural > circuitry (i.e. effective connectivity). > > You will be part of an interdisciplinary team of researchers who develop > and apply novel analysis methodology for inferring brain connectivity using > multimodal neuroimaging. The appointee will coordinate development efforts > as part of an Australian Research Council (ARC) Discovery Project awarded > to Monash University (Dr Adeel Razi, Lead Investigator), University of > Melbourne (Associate Professor Andrew Zalesky) and University College > London (Professor Karl Friston). > > Ideally we are seeking someone with an honours degree in Engineering, > Mathematics, Physics, Computer Science, Psychology and a doctoral > qualification (or close to completion) in Neuroscience, Biomedical > Engineering or closely related field relevant to functional MRI. > > If you have a programming ability in either MATLAB, Python or R, strong > quantitative background and good knowledge of multimodal neuroimaging, we > look forward to receiving your application. > > This role is a full-time position; however, flexible working arrangements > may be negotiated. > > At Monash University, we are committed to being a Child Safe organisation. > Some positions at the University will require the incumbent to hold a > valid Working with Children Check. > > Your application must address the selection criteria. Please refer to "How > to apply for Monash Jobs > ". > > *Enquiries* > > Dr Adeel Razi, Senior Research Fellow, +61 3 9905 0109 > -- > *Adeel Razi, PhD * > Director, Computational & Systems Neuroscience Laboratory > Senior Lecturer & ARC DECRA Fellow > adeelrazi.org > > Deputy Program Lead - Brain Mapping and Modelling > *Turner Institute for Brain and Mental Health* > monash.edu/turner-institute > > > *Monash Biomedical Imaging* > Monash University > https://www.monash.edu/researchinfrastructure/mbi > > Honorary Senior Research Fellow > *Wellcome Centre for Human Neuroimaging* > University College London, United Kingdom > https://www.fil.ion.ucl.ac.uk/ > > *E*: adeel.razi at monash.edu | *P*: +61 (03) 99050109 | *T*: @adeelrazi > | *A*: Room 116, 770 Blackburn Road, Clayton > campus, VIC 3800, Australia > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Tue Apr 21 05:38:55 2020 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Tue, 21 Apr 2020 11:38:55 +0200 Subject: Connectionists: Job opening: Computational Linguist at the South African Centre for Digital Language Resources (SADiLaR) Message-ID: <5E9EBF2F020000AE002C3B06@v-pgw-nlx2.p.nwu.ac.za> COMPUTATIONAL LINGUIST The South African Centre for Digital Language Resources (SADiLaR), in conjunction with the North-West University (NWU), is offering a position for a computational linguist. This position is crucial for research and development in Digital Humanities (DH) and Human Language Technology (HLT) that form the essence of SADiLaR, which is a national centre supported by the Department of Science and Innovation (DSI). This Centre operates as a new research entity hosted by the North-West University and initiates and co-ordinates dedicated projects executed by the centre itself, as well as by the nodes comprising of the University of Pretoria, the University of South Africa, the CSIR, CTexT, as well as a partnership (ICELDA) of four South African Universities. Minimum Requirements: - PhD in either Computational Linguistics, Natural Language Processing, General Linguistics, Human Language Technology, Digital Humanities, Computer Science, Information Technology, Communication Technology or Artificial Intelligence with a clear focus on computational aspects of linguistics. - Five years' applicable experience in the use of Python (recommended). Other programming languages used within the computational linguistics domain can also be considered. - Five years' experience in the use of different operating systems including Linux. - Experience as a supervisor/co-supervisor of postgraduate students. - Three years' experience in the publication of peer reviewed academic articles and research reports. Other competency requirements: - Advanced computer literacy. - Advance technical knowledge of computer systems (hardware and software) related to the functioning of a data centre. - Knowledge of national and international standards applicable to the curation of language resources. - Ability to produce academic publications. - Ability to lead research projects. - Ability to work independently or as part of a team. - Ability to effectively liaise and communicate with public, students, and colleagues at various levels and from diverse backgrounds. - Demonstration of language proficiency in order to function optimally in the various multilingual environments of the NWU. Recommendations: - Five years' proven track record in the acquisition, enhancement, and management of language resources. - Five years' experience in presentation of research-based results at national and international conferences. - Five years' experience related to research and teaching within the domain of Language Technology or Digital Humanities. - Three years' experience in driving projects related to Natural Language Processing or Human Language Technologies or Digital Humanities. - Proven record of acquiring research funding. Responsibilities: - Research and teaching. - Computational support. Total remuneration package: Market related HOW TO APPLY: https://nwu.pnet.co.za/index.php?s=advert_view&g=11080&x=6361614&i=3727&pop=1 CLOSING DATE: 10 May 2020 COMMENCEMENT OF DUTIES: As soon as possible ENQUIRIES: Prof Menno van Zaanen, Menno.vanZaanen at nwu.ac.za NWU CORONA VIRUS: http://www.nwu.ac.za/coronavirus/ Vrywaringsklousule / Disclaimer: http://www.nwu.ac.za/it/gov-man/disclaimer.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From scik at zhaw.ch Tue Apr 21 05:42:49 2020 From: scik at zhaw.ch (Schilling Frank-Peter (scik)) Date: Tue, 21 Apr 2020 09:42:49 +0000 Subject: Connectionists: Schedule Update: ANNPR 2020 (9th IAPR Workshop on Neural Networks in Pattern Recognition), Sept. 2nd-4th, 2020 in Winterthur, Switzerland Message-ID: Schedule update: Due to the COVID-19 pandemic, we have updated the conference schedule. The new deadline for paper submission is now June 10, 2020. This will give researchers intending to contribute to ANNPR 2020 more time to cope with the difficult situation induced by the pandemic. We confirm that the conference will happen as planned, September 2nd-4th, 2020. Should it turn out to be prohibitive to hold it as a physical event in Winterthur, we will move to an online-only format. We do not intend to postpone or cancel the conference. We will send out another update about the format of the conference, including information about registration, in the next weeks. Important Dates: 2020-06-10: Submission Deadline 2020-XX-YY: Registration opens (t.b.a.) 2020-07-01: Notification of acceptance to authors 2020-07-15: Deadline for submission of camera-ready manuscripts 2020-07-15: Early Registration closes 2020-09-02: Conference starts as planned (in-person or online-only) Dear colleagues We are excited to announce https://annpr2020.ch/, the 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, which will be held from September 2nd-4th, 2020, at Zurich University of Applied Sciences ZHAW in Winterthur, Switzerland. The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas. ANNPR is the biannual workshop organized by the http://iapr-tc3.diism.unisi.it/ on Neural Networks & Computational Intelligence of the http://www.iapr.org/http://www.iapr.org/ Among the previous editions of the workshop were ANNPR 2018 (Siena, Italy), ANNPR 2016 (Ulm, Germany), ANNPR 2014 (Montreal, Canada), ANNPR 2012 (Trento, Italy), ANNPR 2010 (Cairo, Egypt), ANNPR 2008 (Paris, France) and ANNPR 2006 (Ulm, Germany). Program: The workshop will consist of keynote talks, several sessions for presentations of accepted papers, and a poster session. Keynote speakers are J?rgen Schmidhuber (tentative, The Swiss AI Lab IDSIA, Lugano, Switzerland), Naftali Tishby (Hebrew University of Jerusalem, Israel) and Bernd Feisleben (University of Marburg, Germany). In addition, there will be a dedicated industry session featuring a sponsored keynote, applied research presentations and industry exhibits / booths / demos, which will provide networking opportunities. The social program consists of a welcome reception, an excursion and a conference dinner. Topics: ANNPR 2020 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to: Methodological Issues: ? Supervised, semi-supervised, unsupervised and reinforcement learning ? Deep learning & deep reinforcement learning ? Feed-forward, recurrent, and convolutional neural networks ? Generative models ? Interpretability & explainability of neural networks ? Robustness & generalization of neural networks ? Meta-learning, Auto-ML Applications to Pattern Recognition: ? Image classification and segmentation ? Object detection ? Document analysis, e.g. handwriting recognition ? Sensor-fusion and multi-modal processing ? Biometrics, including speech and speaker recognition and segmentation ? Data, text, and web mining ? Bioinformatics and medical applications ? Industrial applications, e.g. quality control and predictive maintenance Paper Submission (Deadline: June 10, 2020): Papers are invited to be submitted via EasyChair. There will be a peer review process before acceptance. The page limit is 12 pages. For instructions, see https://annpr2020.ch/cfp/. Accepted papers will be published as a special volume of the Springer Lecture Notes in Artificial Intelligence (LNAI) series. For previous editions, see https://link.springer.com/conference/annpr. In addition, we will invite the 5 (five) selected best accepted papers (as determined by the PC) to submit extended versions to an ANNPR 2020 special issue of the MDPI Journal ?Computers? (ISSN 2073-431X). Organization The workshop is organized by the Institute of Applied Information Technology (InIT) at the ZHAW School of Engineering. The program committee is listed at https://annpr2020.ch/organisation/ Chairs: Dr. Frank-Peter Schilling (chair), Prof. Dr. Thilo Stadelmann (co-chair) Venue ZHAW is one of the leading universities of applied sciences in Switzerland, with around 13 000 students and host to one of Europe?s first and largest dedicated research centers for Data Science. ZHAW?s School of Engineering is one of the leading Engineering Faculties in Switzerland. Our 13 institutes and centres guarantee superior-quality education, research and development with an emphasis on the areas of energy, mobility, information and health. Winterthur is the sixth-largest city of Switzerland with around 110 000 inhabitants. It is located in eastern Switzerland, approximately 20 km from Zurich. The Zurich region is the hub of the digital economy in Switzerland, hosting companies like Google, NVIDIA, IBM and Facebook, which have a high natural affinity to neural networks and pattern recognition. It is also host to world famous universities such as ETH Zurich and University of Zurich UZH, as well as to several universities of applied sciences including the ZHAW. The Swiss AI Institute IDSIA in Lugano, as well as the Swiss Data Science Center SDSC by ETH Zurich and EPFL Lausanne complete the Artificial Intelligence and Machine Learning landscape in the region. Best regards, Dr. Frank-Peter Schilling (chair) Prof. Dr. Thilo Stadelmann (co-chair) -- Dr. Frank-Peter Schilling ZHAW School of Engineering Institute of Applied Information Technology (InIT) Obere Kirchgasse 2 / TD O3.07 / Postfach / CH-8401 Winterthur scik at zhaw.ch / +41 58 934-6955 / www.zhaw.ch/en/about-us/person/scik/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Tue Apr 21 07:36:24 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Tue, 21 Apr 2020 13:36:24 +0200 Subject: Connectionists: [CfP] Special Session: Women in Logic Programming - ICLP2020 Message-ID: <9782cb35-7d76-7d7a-7386-faf682106b64@uniss.it> [Apologies for cross-posting] /IMPORTANT NOTE: The conference general chairs together with the program chairs and the ALP Executive, have decided to hold ICLP2020 as a fully virtual conference on the original week. More details will be forthcoming./ ======================================== *Call for papers - Special Session: Women in Logic Programming** **ICLP 2020 - The 36th International Conference on Logic Programming* September 18 - September 24, 2020 University of Calabria, Rende, Italy https://iclp2020.unical.it ======================================== This special session aims to increase the visibility and impact of women in LP, fostering awareness of one another?s work. To have good role models is very important for female students and this session is an opportunity to celebrate women?s work in the community. We hope this will be particularly attractive to early-career women. The session will include one or two invited talks and presentations by women in logic programming. Contributions are solicited in all areas of logic programming and related areas, with a special focus on applications that are beneficial to society in the large, and to the role of women in society in particular. Any (female) student willing to participate to ICLP can submit their application? on the site: https://women.acm.org/scholarships/ Submission Process: ============ The submissions to this special session must be made via the EasyChair conference system (https://easychair.org/my/conference?conf=iclp20200). All submissions must be written in English and co-authored by at least one woman. Authors should select the right track when submitting. Two types of submissions are invited: Regular and short. ? Regular papers must be in the condensed TPLP format (template here) and?? not exceed 14 pages including bibliography. Regular papers may be supplemented with appendices for proofs and details of datasets which do not count towards the page limit and which will not be made available as appendices to the published paper. ? Short papers (7 pages in EPTCS format (http://info.eptcs.org/), including references) can describe original preliminary work or express a position?? on the special focus of the session. The accepted short papers will be?? published as Technical Communications, along with the selected ICLP-TC?? papers. All TCs will be presented during the conference, preferably by women. Authors of accepted papers will, by default, be automatically included in the list of ALP members, who will receive quarterly updates from the Logic Programming Newsletter at no cost. Keynote Speakers: =========== To be announced. Important Dates: ========== Abstract registration (regular papers): May 8, 2020 Paper submission (regular paper): May 15, 2020 Notification to authors (regular paper): June 19, 2020 Paper Submission (short papers): June 30, 2020 Revision submission (TPLP papers): July 6, 2020 Final notifications (TPLP papers): July 17, 2020 Camera-ready copy due: July 27, 2020 Main Conference starts: September 19, 2020 Special Session: Women in Logic Programming Chairs: ================================= Francesca Alessandra Lisi, University of Bari Aldo Moro Alessandra Mileo, INSIGHT Centre for Data Analytics, Dublin City University -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Tue Apr 21 07:31:01 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Tue, 21 Apr 2020 13:31:01 +0200 Subject: Connectionists: [CfP] ICLP2020 Applications Track: The 36th International Conference on Logic Programming Message-ID: [Apologies for cross-posting] /IMPORTANT NOTE: The conference general chairs together with the program chairs and the ALP Executive, have decided to hold ICLP2020 as a fully virtual conference on the original week. More details will be forthcoming./ ========================================== *Call for papers - Applications Track** **ICLP 2020 - The 36th International Conference on Logic Programming** *September 18 - September 24, 2020 University of Calabria, Rende, Italy https://iclp2020.unical.it ========================================== Logic programming (LP) has been widely adopted as a powerful declarative programming paradigm to build a variety of applications from research projects to industrial products, including bioinformatics, natural language understanding, robotics, maritime situational awareness, etc. Motivated by such a wide range of applications, ICLP will have a special track dedicated to Applications of LP, to bring together LP researchers and practitioners from both academia and industry, to share the recent advancements, challenges and insight for LP applications. The goal of the Application Track is two-fold. On the one side, it aims at providing a fresh impulse for the LP community to recast its interests towards solving practical problems and applications. On the other side, its goal is to attract representatives from the wider academia and industrial communities to discuss their challenges related to using LP in practical problems, applications and industrial products, and their expectations from the development of theory and tools from the LP community. Expected contributions: ============== The Applications Track at ICLP 2020 invites submissions of papers on emerging and deployed applications of LP, describing all aspects of the development, deployment, and evaluation of LP systems to solve real-world problems, including interesting case studies and benchmarks, and discussing lessons learned. We welcome LP applications in a wide range of areas, including but not limited to: ?? stream reasoning ?? composite event recognition ?? industrial applications ?? commonsense reasoning, knowledge representation ?? declarative problem solving ?? education ?? bioinformatics, computational biology ?? life sciences, genetics, medicine, pharmacology ?? cognitive robotics, social robotics, human-robot interactions ?? intelligent transportation, logistics, maritime situational awareness ?? computer vision, sensing, internet of things ?? data analysis, machine learning ?? creative computing ?? digital forensics, cybersecurity, blockchain ?? economics, game theory, social choice ?? software engineering, intelligent user interfaces ?? multi-agent systems, argumentation, epistemic reasoning ?? constraint programming, SAT, SMT ?? natural language understanding, story telling, question answering ?? explanation generation, diagnosis ?? spatial/temporal/probabilistic reasoning ?? planning and scheduling ?? databases, ontologies, knowledge bases, Semantic Web Evaluation Criteria: =========== In addition to the usual evaluation criteria concerning the quality of the presentation, for the Applications track the criteria will include:? ? Significance of the real-world problem being addressed. ?- Significance of the real-world problem being addressed. ?? Importance and novelty of using LP technologies to solve this problem. ?? Evaluation and applicability of the system in the real world. ?? Clear evidence of the potential benefits of applying and improving LP tools and techniques. ?? Reproducibility of empirical analysis; reusability of datasets, case studies, knowledge repositories and benchmarks. Important Dates: ========== Abstract registration (regular papers): May 8, 2020 Paper submission (regular paper): May 15, 2020 Notification to authors (regular paper): June 19, 2020 Paper Submission (short papers): June 30, 2020 Revision submission (TPLP papers): July 6, 2020 Final notifications (TPLP papers): July 17, 2020 Camera-ready copy due: July 27, 2020 Main Conference starts: September 19, 2020 Submission Details: ============ All submissions must be written in English. ?? Regular papers (14 pages in TPLP format, including references) 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. The accepted regular papers will be published in TPLP, along with the selected ICLP-TPLP papers. The program committee may recommend some regular papers to be published as technical communications (TCs), along with the selected ICLP-TC papers. The authors of the TCs can also elect to convert their submissions into extended abstracts (2 or 3 pages) for inclusion in the proceedings. This should allow authors to submit a long version elsewhere. ?? Short papers (7 pages in EPTCS format (http://info.eptcs.org/), including references) can describe published research. The accepted short papers that describe original and previously unpublished work will be published as TCs, along with the selected ICLP-TC papers. The accepted short papers that describe published research will be made available at the conference webpage, with the permission of the authors. All accepted regular papers and technical communications will be presented during the conference. Authors of accepted papers will, by default, be automatically included in the list of ALP members, who will receive quarterly updates from the Logic Programming Newsletter at no cost. Any additional questions can be directed towards the Applications Track Co-Chairs: ?? Alexander Artikis, University of Piraeus & NCSR Demokritos ?? Angelika Kimmig, Cardiff University, UK Applications Track Program Committee (tentative) =============================== ?? Nicos Angelopoulos (University of Essex, UK) ?? Chitta Baral (Arizona State University, USA) ?? Alex Brik (Google Inc, USA) ?? Fran?ois Bry (LMU M?nchen, Germany) ?? Francesco Calimeri (University of Calabria, Italy) ?? Angelos Charalambides (NCSR Demokritos, Greece) ?? Mart?n Di?guez (ENIB, France) ?? Martin Gebser (University of Potsdam, Germany) ?? Gopal Gupta (University of Texas at Dallas, USA) ?? Jianmin Ji (University of Science and Technology of China, China) ?? Nikos Katzouris (NCSR Demokritos, Greece) ?? Zeynep Kiziltan (University of Bologna, Italy) ?? Yunsong Meng (Houzz Inc., USA) ?? Fariba Sadri (Imperial College London, UK) ?? Mohan Sridharan (University of Birmingham, UK) ?? Konstantin Schekotihin (Alpen-Adria Universitaet Klagenfurt, Austria) ?? Tom Schrijvers (Catholic University of Leuven, Belgium) ?? Paul Tarau (University of North Texas, Denton, USA) ?? David Warren (SUNY Stony Brook, USA) ?? Jan Wielemaker (VU University of Amsterdam, The Netherlands) ?? Shiqi Zhang (SUNY Binghamton, USA) ?? Neng-Fa Zhou (CUNY Brooklyn College and Graduate Center, USA) -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bwyble at gmail.com Tue Apr 21 11:23:10 2020 From: bwyble at gmail.com (Brad Wyble) Date: Tue, 21 Apr 2020 11:23:10 -0400 Subject: Connectionists: Call for applications: Neuromatch Summer Academy Students, TAs and Mentors Message-ID: The pandemic has shut down nearly every summer program in the world at which students, postdocs and faculty would normally gather to acquire crucial skills and build networks. We?re building a program to replace this loss. Our plan is to have a 3-week online course July 13-31 focused on computational analysis and simulation of neural data with intensive mentoring by knowledgeable TAs and faculty mentors to help with projects. Tuition will be relatively minimal (~ 100-200 USD) and also voluntary. TAs will be paid a stipend for their time because it will be intensive. Mentorship by faculty will be substantially less work. Interested in signing up as a potential participant, a TA, or a faculty mentor? Fill out one of the three forms below. Also, please feel free to send this out as widely as possible. We?re trying to cast a global net, especially to people outside of the US and Europe. Tutorials will take place in parallel tracks in different time zones and in multiple languages when possible. Note that the deadline for applications is April 27. Webpage: https://neuromatch.io/academy/ Form for student applications https://docs.google.com/forms/d/1XzNx2xff20rNBZiY7fHuCMCSjWwTsGYzDE-Prx7sWqE/edit Form for TA applications https://docs.google.com/forms/d/e/1FAIpQLSc4aL49WV_dnt7WlXjEwsY8Mb30I2E0VHa8LROYPcmmwkzLdw/viewform Form for Mentor Applications https://docs.google.com/forms/d/e/1FAIpQLSef-slmLcnVT7H-wkM-7wT5ePBh3TVg7UXzl7FP9C17ciojxQ/viewform -- Brad Wyble Associate Professor Psychology Department Penn State University http://wyblelab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Tue Apr 21 12:07:04 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Tue, 21 Apr 2020 18:07:04 +0200 Subject: Connectionists: [CfP] ICLP2020 Sister Conferences and Journal Presentation Track: The 36th International Conference on Logic Programming Message-ID: <90fa1115-de19-2501-c14c-8391853965f4@uniss.it> [Apologies for cross-posting] /IMPORTANT NOTE: The conference general chairs together with the program chairs and the ALP Executive, have decided to hold ICLP2020 as a fully virtual conference on the original week. More details will be forthcoming. / ========================================= *Call for papers - Sister Conferences and Journal Presentation Track** **ICLP 2020 - The 36th International Conference on Logic Programming* September 18 - September 24, 2020 University of Calabria, Rende, Italy https://iclp2020.unical.it ========================================= The program committee of the 36th International Conference on Logic Programming (ICLP) invites submissions of published journal papers and papers presented at related conferences for the Sister Conferences and Journal Presentation Track. The track is designed to provide a forum to discuss important results related to logic programming that appeared since 2018 in selective journals or were presented at related conferences, but that have not been previously presented at ICLP. The goal of this track is two-fold: 1. To provide authors an opportunity to present at the conference important results published in journals that might otherwise not be submitted to the conference due to their length and complexity. Papers that differ from traditional ICLP format and topics are welcome. 2. To broaden the program with lines of work at the intersection between logic programming and related fields such as for example constraint programming, operations research, control, knowledge representation and reasoning, machine learning, multi-agent systems, robotics, computer games, and cognitive science. Papers that use logic programming in some innovative way are welcome. Paper Presentations: ============ All accepted submissions will be presented orally during the conference - at least one author is expected to register to ICLP 2020 and to present the paper in person. Complete citations and URLs of the original papers (if available from the publisher) will be published on the ICLP 2020 web site as a permanent reference. A 2-page extended abstract summarizing the line of research leading to the presented results can optionally be submitted for presentation in the technical communications of ICLP. Submission Requirements: ================ Submissions must meet the following criteria: ? Candidate papers must be published in a journal such as (but not limited to) AIJ, ACM TOCL, JAIR, or other leading journals or? in the proceedings of related conferences such as KR, LPNMR, AAMAS, AAAI, IJCAI, ECAI, ICAPS, SAT, ICML, ICDT, PODS, VLDB, WWW, ISWC, ESWC, DL, JELIA, SAT, POPL, PADL, LICS, etc. ? Candidate papers must have appeared since 2018. ? Papers that are in press may be submitted as long as the final camera-ready version is available at some URL (such as, ArXiv). ? Extensions of papers that have been previously presented at ICLP (or co-located Workshops) are not eligible for this track. Submission Process: ============ All submissions will be done via EasyChair (https://easychair.org/my/conference?conf=iclp20200). The submission will be in the following format: ? Title and authors of the work for the ICLP Sister Conferences and Journal Presentation Track (to be published on the Web - see note below about title and authors); ? An accompanying letter containing: ???? ? Complete bibtex reference of the original paper (only 1 reference!) (to be published on the Web) + a URL where the paper can be downloaded from the publisher (if available) (to be published on the Web); ???? ? An explanation of why this paper is interesting to the logic programming community (at most 1 page in PDF). ? The original paper (in PDF) (for reviewers only, it will not be posted on the Web because of copyright issues) because some reviewers could be ? at universities that don?t have contracts with publishers, such as,?? Elsevier, Cambridge Publishing, ACM, etc. ? Optional: only if the authors wish to publish an extended abstract in the technical communications of ICLP2020 please submit a 2-page extended ? abstract of the paper (PDF in EPTCS format http://style.eptcs.org/) for the ICLP Sister Conferences and Journal Presentation Track (note: we will ? ask for the LaTex sources after the notification). Note: the 2 pages abstract should not contain new material since this is just a report of a publication in a related conference. The title should be a bit different than the original publication (since it would look odd to have a paper with the same title, but much shorter after the original publication), such as, add Report or Summary in the title. It is not necessary to radically change it. The authors should be the same and in the same order with respect to the original publication. The papers in this track will be grouped under a subsection Sister Conferences and Journal Presentation Track, so other researchers can see that this is a report on the original publication. We advise authors to start the paper with a sentence stating that this abstract is a report or summary of the original publication (with immediately citing that work). Evaluation criteria: =========== Submissions will go through a peer review selection process. Selection criteria include significance of the results and relevance to the logic programming community. Important Dates: ========== Abstract registration (regular papers): May 8, 2020 Paper submission (regular paper): May 15, 2020 Notification to authors (regular paper): June 19, 2020 Paper Submission (short papers): June 30, 2020 Revision submission (TPLP papers): July 6, 2020 Final notifications (TPLP papers): July 17, 2020 Camera-ready copy due: July 27, 2020 Main Conference starts: September 19, 2020 Sister Conferences and Journal Presentation Track Chairs: =================================== Paul Fodor, Stony Brook University Marco Maratea, University of Genova -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Tue Apr 21 12:14:27 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Tue, 21 Apr 2020 18:14:27 +0200 Subject: Connectionists: [CfP] ICLP2020 The Research Challenges Track: The 36th International Conference on Logic Programming Message-ID: <553ee348-2745-7243-9774-e40bdc9e07dc@uniss.it> [Apologies for cross-posting] /IMPORTANT NOTE: The conference general chairs together with the program chairs and the ALP Executive, have decided to hold ICLP2020 as a fully virtual conference on the original week. More details will be forthcoming.// / ========================================== *Call for papers - The Research Challenges Track** **ICLP 2020 - The 36th International Conference on Logic Programming* September 18 - September 24, 2020 University of Calabria, Rende, Italy https://iclp2020.unical.it ========================================== Are you a researcher in logic programming working on a problem that appears to be particularly challenging? Perhaps you feel a little stuck? Or, are you facing a problem that needs some LP technology you are not familiar with? Would you like to open a discussion for collaboration? The goal of the Research Challenges Track is to help researchers overcome their challenges by providing a venue to invite input from the broader community. Contributors to this less formal track will be given an opportunity to exchange ideas with other researchers who may have come up against, or are currently working on, similar problems. We hope the track will foster discussion and possibly even new collaborations. Expected contributions ============== The Research Challenges Track at ICLP 2020 invites submissions describing LP research challenges in a wide range of areas, including but not limited to: * Industry-level application of logic programming * Applications of logic programming to other sciences and AI (bioinformatics, natural language processing, digital forensics, etc.) * Logic programming and big data * Machine learning and logic programming * Logic programming and other computational paradigms * Theoretical foundations of logic programming Evaluation and Feedback =============== In this track, the selection process will be less formal. While authors will receive some feedback, the review process will not be typical. We do not expect contributions only from seasoned researchers. Ph.D. students and junior researchers are more than welcome to contribute. Also, contributors outside the LP community will be given special attention. Any contribution that clearly describes a research problem relevant to logic programming will be evaluated positively. The chance to interact with other researchers during the conference will provide additional feedback and hopefully lead to a longer-term discussion/collaboration. Important Dates ========== Abstract registration (regular papers): May 8, 2020 Paper submission (regular paper): May 15, 2020 Notification to authors (regular paper): June 19, 2020 Paper Submission (short papers): June 30, 2020 Revision submission (TPLP papers): July 6, 2020 Final notifications (TPLP papers): July 17, 2020 Camera-ready copy due: July 27, 2020 Main Conference starts: September 19, 2020 Submission Details =========== All submissions must be written in English. Submissions should be no more than 4 pages in EPTCS format (http://info.eptcs.org/), including references, and should describe a research problem or challenge. Accepted papers will be presented during the conference. Authors of accepted papers are expected to register to ICLP and present their work. Any additional questions can be directed towards the Research Challenges Track Chairs Research Challenges Track Chairs ===================== Gerhard Friedrich, Universit?t Klagenfurt, Austria Fabrizio Riguzzi, Universit? di Ferrara, Italy -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From zapotocky at biomed.cas.cz Tue Apr 21 14:32:09 2020 From: zapotocky at biomed.cas.cz (Martin Zapotocky) Date: Tue, 21 Apr 2020 20:32:09 +0200 Subject: Connectionists: CNS*2020 Online Meeting: abstract submission deadline approaching Message-ID: <07a1bb29-8da7-b6b5-3f1e-85a2bd946d28@biomed.cas.cz> Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA* * *Meeting Update* *29th Annual Computational Neuroscience Meeting (CNS*2020)* July 18--22, 2020 Due to the continuing restrictions arising from the COVID-19 pandemic, *the CNS*2020 Meeting in Melbourne* will be *replaced by an **online meeting of the CNS community*. For the format of the meeting and further updates, please follow https://www.cnsorg.org/cns-2020-quick Registration for the meeting is open and *free of charge*. * The deadline for submission of abstracts* remains as follows: *April 29 *in case a *plenary oral presentation *is requested, **May 6 **in case a **poster-type presentation** is requested. Please see https://www.cnsorg.org/cns-2020-abstract-submission The *call for workshops* currently remains open: https://www.cnsorg.org/cns-2020-call-for-workshops We are glad to announce that the online meeting will feature *keynote presentations* by the speakers originally scheduled to appear in Melbourne: Matt Botvinick Zhaoping Li Geoff Goodhill Daniel Polani Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Tue Apr 21 13:20:38 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Tue, 21 Apr 2020 20:20:38 +0300 Subject: Connectionists: 2nd Call-for-papers: ICPR 2020 Workshop on Research & Innovation for Secure Societies (RISS 2020) Message-ID: [Apologies for multiple postings] RISS 2020 3rd International Workshop on Research & Innovation for Secure Societies @ 25th International Conference on Pattern Recognition - ICPR Milan, Italy, 11 January, 2021 http://campus.pub.ro/RISS2020/ https://easychair.org/conferences/?conf=riss2020 *Please note that given the COVID-19 situation in Italy and all over the globe, the ICPR2020 Chairs have decided to shift the Conference schedule to 10-15 January 2021* *** Call for papers *** * Paper submission due: June 15th, 2020 * Acceptance notification: July 15th, 2020 * Workshop @ ICPR 2020: January 11th, 2021 High expansion of urban population and recent world events complemented by the alarming increase of the number of threats to infrastructure safety have mobilized Authorities to redesign societal security concepts. Law Enforcement Authorities are focusing and aiming consistently their actions at preventing crimes and protecting people, properties and critical infrastructures. With the accelerated advances of communications and storage technologies, access to critical information acquired from various sensors and sources, e.g., land cameras, satellite data, drones, personal devices, has been significantly eased. Manipulation and processing of such high amount of diverse data is still a steady challenge, and most of the existing solutions involve the use of human resources. However, threats are now at a very large scale, requiring very different security solutions which are able to make use of interdisciplinary approaches. In this context, computer-assisted or automated technologies are now becoming more and more attractive to substitute expensive human resources in the decision systems. RISS 2020 focuses on discussing solutions provided by Artificial Intelligence (AI) systems to the aforementioned challenges. It aims to bring together researchers from academia and industry, end-users, law-enforcing agencies and citizen groups to share experiences and explore multi- and inter-disciplinary areas where additional research and development are needed, identify possible collaboration and consider the societal impact of such technologies. Authors are invited to submit original, previously unpublished work, reporting on novel and significant research contributions, on-going research projects, experimental results and recent developments related to AI for Secure Societies on the following topics (but not limited to): - Computer vision (e.g., crowd monitoring, scene understanding) - Multimedia information retrieval (e.g., indexing, searching and browsing, Big Data) - Information fusion from various sensors (e.g., visual, infrared, depth, sound) - Machine learning (e.g., very large scale deep learning, neural networks) - Embedded systems, IoT, and low energy footprint computing - Social media, cybercrimes and fake news - Surveillance systems and interactive solutions - Forensics and crime scene reconstruction - Unmanned aerial, terrestrial, underwater vehicles and robots - Biometric systems and algorithms (e.g., body, fingerprint, gesture, voice recognition) - Case studies, practical systems and testbeds - Ethics, data protection, privacy protection, civil liberties and social exclusion issues - Benchmarking, evaluation and data sets *** Submission guidelines *** RISS 2020 follows a single-blind review process, therefore authors are required to include their names and affiliations in their papers. All papers will be peer reviewed single-blind. Authors are requested to adhere to the IAPR Ethical Requirements when submitting their contributions. Workshop proceedings will be published with Springer and submissions should be formatted using the provided Springer templates. Accepted paper length is from 12 to 15 pages. To submit your contribution, follow the link https://easychair.org/conferences/?conf=riss2020. *** Organizing committee *** Bogdan Ionescu, University Politehnica of Bucharest, Romania Tiberio Uricchio, University of Florence, Italy Marian Buric, Protection and Guard Service, Romania Razvan Roman, Protection and Guard Service, Romania Vincent Charvillat, University of Toulouse, France Marco Cristani, University of Verona, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkoprinkova at yahoo.com Wed Apr 22 05:51:16 2020 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Wed, 22 Apr 2020 09:51:16 +0000 (UTC) Subject: Connectionists: WASA 2020 - deadline extended References: <1067674093.787209.1587549076625.ref@mail.yahoo.com> Message-ID: <1067674093.787209.1587549076625@mail.yahoo.com> WASA 2020 - 10th Workshop on Applications of Software Agents https://perun.pmf.uns.ac.rs/events/wasa2019/index.html SUBMISSINS DEADLINE, May 20, 2020 ----------------------------------------------------------- Novi Sad, Serbia, August 24-26, 2020 in conjunction with IEEE INISTA 2020 - International Symposium on INnovations in Intelligent SysTems and Applications http://inista.org/ UPDATE CONCERNING COVID-19 -------------------------- WASA at INISTA 2020 organizing committee hopes that you, your families and colleagues are healthy and well.? Due to the pandemic and the uncertainties regarding to travel restrictions, WASA at INISTA 2020 conference will take place on the original date of August 24?26, 2020 with an online/video presentation options. Workshop Description -------------------- Software agent technologies proved their usefulness in synergy with various methods of intelligent computing and artificial intelligence. The aim of the WASA series of workshops is to contribute to the advancement of technologies and applications of software agents' with a special interest in intelligent computing including, but not limited to reasoning, semantics, pattern recognition, learning and cognition, etc. IMPORTANT DATES --------------- ? ? Submission of papers to WASA: May 20, 2020 ? ? Notification of acceptance: June 13, 2020 ? ? Camera-ready papers: June 20, 2020 ? ? Early paper registration: June 20, 2020 ? ? Workshop: August 24-26, 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From moritz.grosse-wentrup at univie.ac.at Wed Apr 22 05:20:46 2020 From: moritz.grosse-wentrup at univie.ac.at (Moritz Grosse-Wentrup) Date: Wed, 22 Apr 2020 11:20:46 +0200 Subject: Connectionists: Data Science Master's programme at the University of Vienna Message-ID: <3013454c-fd69-8fc4-2c87-a53a3cffe08c@univie.ac.at> Dear all, The University of Vienna offers a new Master's programme in Data Science. The programme is taught by internationally renowned scientists from an interdisciplinary range of faculties, including Computer Science, Mathematics, Business, Economics and Statistics, Historical and Cultural Studies, and Philological and Cultural Studies. All courses are taught in English. For further information on the programme, please visit https://datascience.univie.ac.at/masters/master-data-science/ To explore Vienna, consistently ranked as the most livable city in the world, visit https://www.wien.info/en The application deadline for the winter term is *April 30th*. Best regards, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformaticst 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 marcin at amu.edu.pl Wed Apr 22 05:34:52 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 22 Apr 2020 11:34:52 +0200 Subject: Connectionists: Reminder: FedCSIS 2020 Data Mining Competition In-Reply-To: <366fe9f5-2e80-715c-ab4f-28afc29817fd@ibspan.waw.pl> References: <366fe9f5-2e80-715c-ab4f-28afc29817fd@ibspan.waw.pl> Message-ID: <6798d293-8cf6-e1f3-4e5a-90ffbf8e1386@amu.edu.pl> FedCSIS 2020 Data Mining Competition Challenge: Network Device Workload Prediction FedCSIS 2020 Data Mining Challenge: Network Device Workload Prediction is the seventh data mining competition organized in association with Conference on Computer Science and Information Systems (https://fedcsis.org/). This time, the considered task is related to the monitoring of large IT infrastructures and the estimation of their resource allocation. The challenge is sponsored by EMCA Software and Polish Information Processing Society (PTI). ************************* COVI-19 Information ************************** We would like to assure everybody that FedCSIS 2020 will take place, the submitted and accepted papers will be published and sent for indexations as usual. In case the conference cannot be staged in real setting of beautiful Sofia, we will provide a virtual web-based avenue for it. We look forward to receiving your contributions as usual and guarantee that FedCSIS 2020 will be another memorable and rewarding conference. FedCSIS organizers ************************************************************************ Overview: EMCA Software is a Polish vendor of Energy Logserver - a system capable of collecting data from various log sources to provide in-depth data analysis and alerting to its end-users. EMCA is based in Poland but also operates in Nordics, APAC, and the USA, through the partner channels. The company focuses on cybersecurity and IT infrastructure monitoring use cases, intending to deliver a system that is ready-to-use and offers inbox correlations and predictions on monitored data. By this challenge, we want to help EMCA to answer the question of whether it is possible to reliably predict workload-related characteristics of monitored devices, based on historical data gathered from such devices. This task is of paramount importance for IT and technical teams that can put their hands on a tool that allows them to manage the capacity of their infrastructure. An additional difficulty within this challenge, and also the reason why it might be especially interesting for the data science community, arises from the fact that devices considered in the data are not uniform. In essence, logs cover readings from various types of hardware. Some of them are cross-dependent, as they are a part of the same IT system. Moreover, some devices have multiple interfaces for which the data is aggregated. More details regarding the task and a description of the challenge data can be found in the Task description section (see: https://knowledgepit.ml/fedcsis20-challenge/) Result presentation: Special session at FedCSIS 2020: As in previous years, a special session devoted to the competition will be held at the conference. We will invite authors of selected challenge reports to extend them for publication in the conference proceedings (after reviews by Organizing Committee members) and presentation at the conference. The papers will be indexed by the IEEE Digital Library and Web of Science. The invited teams will be chosen based on their final rank, innovativeness of their approach, and quality of the submitted report. Awards: Authors of the top-ranked solutions (based on the final evaluation scores) will be awarded prizes funded by our sponsors: First Prize: 1500 USD + one free FedCSIS'20 conference registration, Second Prize: 1000 USD + one free FedCSIS'20 conference registration, Third Prize: 500 USD + one free FedCSIS'20 conference registration. The award ceremony will take place during the FedCSIS'20 conference. Please note that the winners will only be eligible for the money prizes only if their final score exceeds the baseline solution score by at least 10%. Contact information: For all details, see: https://knowledgepit.ml/fedcsis20-challenge/ or contact: Piotr Biczyk Andrzej Janusz -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From publicity at cikm2020.org Wed Apr 22 05:45:33 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Wed, 22 Apr 2020 17:45:33 +0800 Subject: Connectionists: CIKM 2020 - Call for Doctoral Consortium Proposals - COVID19 UPDATES Message-ID: * Apologies for cross-posting * ** Call for DOCTORAL CONSORTIUM PARTICIPATION ** In conjunction with CIKM 2020 (October 19th-23rd, 2020) CIKM 2020 will be a fully virtual conference, with no travel involved, and presentations will be given via pre-recorded videos, followed by synchronized online discussions during the scheduled conference period. In this context, please note the revised submission deadlines below. We invite PhD students from the general areas of databases (DB), information retrieval (IR), and knowledge management (KM) to submit their proposals for participation in a Doctoral Consortium, which will be held on Tuesday, 20th October 2020 in the context of the 29th ACM International Conference on Information and Knowledge Management (CIKM2020) . We welcome submissions representing a broad spectrum of research topics relevant to the CIKM community. The goal of the PhD Symposium is to provide a platform for PhD students to present and receive feedback on their ongoing research. Students at different stages of their research will have the opportunity to present their work in an online conference environment and discuss their research questions, goals, methods and results. Participants will benefit from the advice of senior researchers in the field in the form of one-to-one online discussions that will be organized. Key Dates (Updated) Submission deadline 24th July 2020 Acceptance notification 15th August 2020 Camera-ready version due 31st August 2020 Doctoral Consortium 20th October 2020 More info: https://cikm2020.org/call-for-doctoral-consortium-participation/ Doctoral Consortium Chairs - Daniel Hienert (GESIS ? Leibniz Institute for the Social Sciences, Cologne, Germany) - Gianluca Demartini (University of Queensland, Australia) Check our sponsorship options for an opportunity to reach out to the experts in the domain! -------------- next part -------------- An HTML attachment was scrubbed... URL: From vvouloutsi at ibecbarcelona.eu Wed Apr 22 08:04:03 2020 From: vvouloutsi at ibecbarcelona.eu (vvouloutsi at ibecbarcelona.eu) Date: Wed, 22 Apr 2020 14:04:03 +0200 Subject: Connectionists: [meetings] [LM2020] Living Machines 2020 - COVID-19 update Message-ID: Dear colleagues, we are crossing uncharted territory. The outbreak of COVID-19 is having a significant impact on our life, health and economy but also on how our society communicates and the scientific communities are also affected by this terrible pandemic. On the one hand, we must act in complete observance of safety and ethical practices; on the other hand, we must maintain scientific research and knowledge exchange with new lockdown-proof methods and technologies. *Living Machines deadline is extended to May 1st 2020 and going online on * 28 ? 30 July 2020*. Join us!* Apologies for cross-posting but please share this announcement with your colleagues. Looking forward to seeing you online! Stay safe and take good care. ????????????????????????????????????????????????????????????? *Extended Call for Papers, Satellite Events and Sponsors* *Living Machines. The 9th International Conference on Biomimetic and Biohybrid Systems* To be hosted online. Further details will be announced soon. Accepted papers will be published in *Springer Lecturer Notes in Artificial Intelligence* *Submission deadline extended: May 1st, 2020* http://livingmachinesconference.eu/2020 ????????????????????????????????????????????????????????????? *ACTIVITIES* The main conference will take the form of a *two-day single-track oral* and *poster presentation program*, *28 - 30th July 2020*, and will be hosted by the Cluster of Excellence ?Living, Adaptive and Energy-autonomous Materials Systems (livMatS)? at the University of Freiburg, Germany (www.livmats.uni-freiburg.de). The conference program will include *4 plenary lectures* from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies. The full conference will be preceded by up to 1 day of *Workshops* hosted by the Cluster of Excellence at the University of Freiburg *SATELLITE EVENTS* Active researchers in biomimetic and biohybrid systems are invited to propose topics for full or 1/2 half-day *tutorials*, *symposia* or *workshops* on related themes to be hosted on the 28 of July by the Cluster of Excellence at the University of Freiburg Attendance at satellite events will attract a small fee intended to cover the online costs of the meeting. There is flexibility about the content, organization, and budgeting for these events. Please contact us if you are interested in organizing a satellite event! Best, V. -- Vicky Vouloutsi, PhD Postdoc Researcher at the laboratory for Synthetic Perceptive, Emotive and Cognitive Systems (SPECS) mail: vvouloutsi at ibecbarcelona.eu linkedin researchgate tel: +34 934011913 Aquest correu electr?nic cont? informaci? confidencial emparada pel secret professional. Qualsevol reproducci?, distribuci? o divulgaci? del seu contingut estan estrictament prohibides. Si vost? no ?s el destinatari, li preguem no faci difusi? ni copi? el seu contingut i ens ho notifiqui el m?s aviat possible a l'adre?a dataprotection at ibecbarcelona.eu Este correo electr?nico contiene informaci?n confidencial amparada por el secreto profesional. Cualquier reproducci?n, distribuci?n o divulgaci?n de su contenido est?n estrictamente prohibidas. Si usted no es el destinatario, le rogamos no difunda ni copie su contenido y nos lo notifique de inmediato a la direcci?n dataprotection at ibecbarcelona.eu This electronic transmission contains confidential information covered by professional secrecy. Any reproduction, distribution or disclosure of its contents is strictly prohibited. If you are not the intended recipient, you are kindly requested not to disseminate nor to copy this transmission and to notify us as soon as possible by email to dataprotection at ibecbarcelona.eu . -------------- next part -------------- An HTML attachment was scrubbed... URL: From Vitomir.Kovanovic at unisa.edu.au Wed Apr 22 10:53:34 2020 From: Vitomir.Kovanovic at unisa.edu.au (Vitomir Kovanovic) Date: Wed, 22 Apr 2020 14:53:34 +0000 Subject: Connectionists: Webinar Invitation: Running an Online Conference: Best Practices from Organising LAK20 Message-ID: [apologies for multiple copies] Hi all, It is my pleasure to invite you to SoLAR Webinar "Running an Online Conference: Insights from LAK20" presented by Dr Vitomir Kovanovic from the University of South Australia, Australia, and Dr Maren Scheffel from the Open Universiteit, The Netherlands. To register, go to https://www.eventbrite.com.au/e/running-an-online-conference-insights-from-lak20-registration-103140377646 Time and date: Mon April 27, 2020, 11:00 AM - 12:00 PM Eastern US time (5:00 PM - 6:00 PM London, UK time) Location: Zoom (meeting URL provided in the registration email) We are looking forward to seeing you at the webinar! Kind regards, Vitomir Running an Online Conference: Best Practices from Organising LAK20 Besides a major shift towards online learning and teaching, the recent COVID-19 pandemic also had a massive impact on the organisation of academic conferences. Most events got cancelled, postponed, and few brave ones moved to cyberspace. As Program Co-chairs for The Tenth International Conference on Learning Analytics & Knowledge (LAK20), we were faced with the significant challenge of adjusting the whole conference program to online mode in less than two weeks. The conference was a huge success, and we wanted to share some of our experience and some guidance on how to transfer your conference to an online format. We will cover issues around conference program and technical aspects of conference organisation, including website and live stream setup. We hope that this information will be useful for conference organisers who are in a similar situation as we were. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fellous at arizona.edu Wed Apr 22 11:58:07 2020 From: fellous at arizona.edu (Fellous, Jean-Marc - (fellous)) Date: Wed, 22 Apr 2020 15:58:07 +0000 Subject: Connectionists: Complex Spatial Navigation - Special Issue Message-ID: Dear Colleagues, Please note the upcoming special issue of Biological Cybernetics entitled 'Complex spatial navigation in animals, computational models and neuro-inspired robots'. All articles are now available online. Apologies for any duplications. * Editorial: Complex spatial navigation in animals, computational models and neuro-inspired robots. Jean-Marc Fellous, Peter F. Dominey and Alfredo Weitzenfeld. https://link.springer.com/article/10.1007/s00422-020-00832-y * From spatial navigation via visual construction to episodic memory and imagination. Michael A. Arbib. https://link.springer.com/article/10.1007/s00422-020-00829-7 * A neural model of schemas and memory encoding. Tiffany Hwu and Jeffrey L. Krichmar. https://link.springer.com/article/10.1007/s00422-019-00808-7 * A computational model for spatial cognition combining dorsal and ventral hippocampal place field maps: multi-scale navigation. Pablo Scleidorovich, Martin Llofriu, Jean-Marc Fellous and Alfredo Weitzenfeld. https://link.springer.com/article/10.1007/s00422-019-00812-x * Bio-inspired multi-scale fusion. Stephen Hausler, Zetao Chen, Michael E. Hasselmo and Michael Milford. https://link.springer.com/article/10.1007/s00422-020-00831-z * Modeling awake hippocampal reactivations with model-based bidirectional search. Mehdi Khamassi and Benoit Girard. https://link.springer.com/article/10.1007/s00422-020-00817-x * Real-time sensory-motor integration of hippocampal place cell replay and prefrontal sequence learning in simulated and physical rat robots for novel path optimization. Nicolas Cazin, Pablo Scleidorovich, Alfredo Weitzenfeld and Peter F. Dominey. https://link.springer.com/article/10.1007/s00422-020-00820-2 * Cognitive swarming in complex environments with attractor dynamics and oscillatory computing. Joseph D. Monaco, Grace M. Hwang, Kevin M. Schultz and Kechen Zhang. https://link.springer.com/article/10.1007/s00422-020-00823-z * Conjunctive reward-place coding properties of dorsal distal CA1 hippocampus cells. Zhuocheng Xiao, Kevin Lin and Jean-Marc Fellous. https://link.springer.com/article/10.1007/s00422-020-00830-0 * A model of path integration and representation of spatial context in the retrosplenial cortex. Mingda Ju and Philippe Gaussier. https://link.springer.com/article/10.1007/s00422-020-00833-x Jean-Marc Fellous Peter Dominey Alfredo Weitzenfeld -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.bach at ucl.ac.uk Wed Apr 22 12:36:01 2020 From: d.bach at ucl.ac.uk (Dominik R. Bach) Date: Wed, 22 Apr 2020 17:36:01 +0100 Subject: Connectionists: Three-year PhD in Cognitive-Computational Neuroscience at University College London in ERC project (PI Dominik Bach) Message-ID: TheInternational Max Planck Research School on Computational Methods in Psychiatry and Ageing Research seeks applicants for a PhD fellowship to be based at University College London (UCL) under the supervision of Dr Dominik Bach (bachlab.org ). The fellowship is funded by the European Research Council within the project ?Action selection under threat ? the complex control of human defense?. The purpose of the project is to understand the cognitive-computational control of human motor behaviour under acute, immediate threat. We investigate this in an immersive virtual reality (VR) environment, in which people can move to avoid various threats. In a series of behavioural and magnetoencephalography experiments, we seek to understand the algorithms that control this behaviour, and their neural implementation. The experimental research takes place at the Wellcome Centre for Human Neuroimaging and at the Department for Clinical and Movement Neuroscience at UCL. *Deadline: 20 May 2020. Shortlisted candidates will be interviewed in early June 2020 via Skype. ***Intake of students October 2020 (with the possibility for a later start date).** Please circulate - apologies for multiple postings. -- ----------------------- Dominik R Bach MBBS PhD Principal Research Fellow MPCUCL & WCHN, University College London http://bachlab.org | @bachlab_cog -------------- next part -------------- An HTML attachment was scrubbed... URL: From shmuhammad.csc at buk.edu.ng Wed Apr 22 22:29:29 2020 From: shmuhammad.csc at buk.edu.ng (Shamsuddeen Hassan Muhammad) Date: Thu, 23 Apr 2020 03:29:29 +0100 Subject: Connectionists: AI4Narratives@IJCAI2020 (Deadline Extended, 30th April, 2020) - First International Workshop on Artificial Intelligence for Narratives, July 13, 2020 =?utf-8?Q?=E2=80=93_?=Yokohama, Japan References: Message-ID: *** Apologies for cross-posting *** Please, feel free to redistribute! COVID-19 Information:?There is a high probability that IJCAI 2020 goes virtual, partially or totally. In any case, the organizers of this workshop intend to assure that it will run as smoothly and as lively as?possible. The aim is to keep the community working and keep sharing our discoveries and that every author, interested researcher or practitioner can attend either locally or remotely. ++ CALL FOR PAPERS ++ ****************************************************************************************** First International Workshop on Artificial Intelligence for Narratives (AI4Narratives?20) to be held in conjunction with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI2020) Website:?ai4narratives20.inesctec.pt ****************************************************************************************** ++ Important Dates ++ - Submission deadline:??30th April, 2020? **extended** - Acceptance Notification Date: May 20th, 2020 - Camera-ready copies: June 6th, 2020 - Workshop: July 13th, 2020 ++ Overview ++ This workshop aims to bring together AI researchers and practitioners working on the topic of Narratives, mainly for those working on NLP, but open to other relevant inputs in this emerging area. We invite researchers and practitioners to submit research papers, demo papers, position papers and nectar papers. ++ List of Topics ++ Contributions on the following topics are welcome, as well as on other not listed but highly relevant topics. - Narrative Extraction from text, including social media. - Narrative Understanding. - Storyfication of non-textual data, including image, video, financial, weather, sports and sensor data. - Narrative formalisation and reasoning on narratives, including representation formalisms and narrative ?calculus. - Representing Narratives graphically or in other forms of communication, including infographics, cartoons, slide shows, video-clips, video-games, etc. - Generation of textual narratives, including narrative construction, narrative creation, planning and problem solving for narratives. - Narrative Temporal Reasoning. - Bias in Narrative Generation. - Applications of narrative extraction and generation, including media, health care, science, sports, industry, business and administration, education, recommender systems and XAI. - Evaluation methodologies for Narrative Extraction and Generation. - Related methods for narrative construction, including abstractive summarization, reinforcement learning, transfer learning, and so on. ++ Submission Guidelines ++ We encourage the following kinds of submissions: - Research papers (max 6 pages + references) with original work, promoting and sharing exciting new ideas and fostering discussion or describing well founded impactful applications - Demo papers (max 3 pages + references) describing relevant tools - Position papers (max 3 pages + references) describing relevant and supporting points of view, including a description of ongoing projects - Nectar papers (max 3 pages + references) with a summary of work published in other conferences or journals that is worthwhile sharing with the community Papers must be submitted electronically in PDF format through EasyChair (easychair.org/conferences/?conf=ai4narratives2020). All submissions must be in English and formatted according to according to the IJCAI format style (www.ijcai.org/authors_kit). Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (usually indexed on DBLP). We also plan to launch a special journal issue on the topic. ++ Workshop Format ++ Accepted works will be assigned oral presentations and/or demo slots and/or poster presentations. ++ Invited Speakers ++ ?TBA ++ Organizing committee ++ - Al?pio M. Jorge (INESC TEC; University of Porto, Portugal) - Ricardo Campos (INESC TEC; Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar, Tomar, Portugal) - Adam Jatowt (Kyoto University, Japan) - Akiko Aizawa (NII Tokyo, Japan) ++ Proceedings Chair ++ ? Jo?o Paulo Cordeiro (INESC TEC; University of Beira Interior) ++ Media and Dissemination Chair ++ ? Arian Pasquali (INESC TEC) ? Brenda Santana (INESC TEC) - Shamsuddeen Muhammad (INESC TEC) ++ Review Support Chair ++ ? Daniel Loureiro (INESC TEC) ++ Program Committee?(to be extended)?++ ?lvaro Figueira (University of Porto) Andreas Spitz (?cole polytechnique f?d?rale de Lausanne) Ant?nio Branco (Universidade de Lisboa) Arian Pasquali (INESC TEC) Bruno Martins (IST and INESC-ID - Instituto Superior T?cnico, University of Lisbon) Daniel Loureiro (University of Porto) Dennis Aumiller (Heidelberg University) Dhruv Gupta (Max Planck Institute for Informatics) Dwaipayan Roy (GESIS - Leibniz Institute for the Social Sciences) Florian Boudin (Universit? de Nantes) Georgiana Ifrim (University College Dublin) Grigorios Tsoumakas (Aristotle University of Thessaloniki) Joeran Beel (Trinity College Dublin) Jeremy Pickens (OpenText) John Shaw-Taylor (University College London) Kiran Kumar Bandeli (Walmart Inc.) Marc Spaniol (Universit? de Caen Normandie) Mark Finlayson (Florida International University) Muhammad Syafiq Mohd Pozi (Universiti Utara Malaysia) Naoya Inoue (Tohoku University) Nuno Moniz (INESC TEC) O-Joun Lee (Pohang University of Science and Technology) Ondrej Dusek (Charles University) Pablo Gerv?s (Universidad Complutense de Madrid) Panote Siriaraya (Kyoto Institute of Technology) Paulo Quaresma (Universidade de ?vora) Satya Almasian (Heidelberg University) S?rgio Nunes (University of Porto) V?tor Mangaravite (Universidade Federal de Minas Gerais) Vincenzo Lombardo (Universit? di Torino) Yijun Duan (Kyoto University) Yihong Zhang (Osaka University) Zhiwen Tang (Georgetown University) ++ Contacts ++ Website:?ai4narratives20.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: ?amjorge at fc.up.pt,?ricardo.campos at ipt.pt,?adam at dl.kuis.kyoto-u.ac.jp,?aizawa at nii.ac.jp -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.dorrn at fz-juelich.de Thu Apr 23 06:14:41 2020 From: a.dorrn at fz-juelich.de (a.dorrn at fz-juelich.de) Date: Thu, 23 Apr 2020 12:14:41 +0200 Subject: Connectionists: Bernstein Conference 2020 goes online Message-ID: NEWS ? Bernstein Conference 2020 goes online, scheduled from Sept 29 ? Oct 1 ? Program will be adjusted in a timezone-friendly manner ? Deadline for workshop proposals extended until May 15 ? Detailed information on abstract submission will follow soon In the light of current developments regarding COVID-19 and the dynamics this entails, we decided to hold this year?s Bernstein Conference entirely online for the first time, keeping scientific exchange alive and fruitful. Going online is not only an emergency reaction to the current pandemic, but also a chance to seek new possibilities in order to keep scientific meetings climate-friendly and allow unrestricted participance from scientists who are challenged by traveling. We will adjust schedules and formats to allow participance from around the world while fostering the interaction, scientific debate and excellence that we all appreciate at our Bernstein Conference. We are excited to exploring this new format together with our community. We will inform you regularly about updates on our website www.bernstein-conference.de and via Twitter: #BernsteinConference. Please do not hesitate to contact us for further questions: bernstein.conference at fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From riccardo.guidotti at unipi.it Fri Apr 24 04:30:25 2020 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Fri, 24 Apr 2020 10:30:25 +0200 Subject: Connectionists: DSAA2020 Call For Tutorials Message-ID: ====================================================================== IEEE DSAA'2020 CALL FOR TUTORIALS 06-09 Oct. 2020 Sydney, Australia http://dsaa2020.dsaa.co ====================================================================== Important Dates -------------------------------------------------------------------------------------- * Tutorial Proposal Due: 27 Apr. 2020 * Tutorial Notification: 11 May 2020 Highlights of IEEE DSAA'2020 -------------------------------------------------------------------------------------- * Strong Research track and Applications track. * Student Poster and Industry Poster sessions with lightning results highlighting student?s research advances and industry?s best practices. * One-day Industry Day with Data Science School for business. * Special sessions on the foundations and emerging areas for data science. * Special panel on the trends and controversies of data science and analytics. * A strong interdisciplinary research program spanning the areas of data science, including statistics, machine learning, computing, and analytics. * Strong cross-domain interactions among researchers and industry and government policy-makers 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. * Fully online! Due to ongoing uncertainty due to COVID-19, DSAA-20 commits to a fully online format with a corresponding reduced registration rate. About IEEE DSAA'2020 -------------------------------------------------------------------------------------- The 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA) features its strong interdisciplinary synergy between statistics (via ASA), computing and information/intelligence sciences (IEEE and ACM), and cross-domain interactions between academia and business for data science and analytics. DSAA sets up a high standard for its organizing committee, keynote speeches, submissions to main conference and special sessions, and a competitive rate for paper acceptance. DSAA has been widely recognized as a dedicated flagship in data science and analytics such as by the Google Metrics and China Computer Foundation as an influential event in the area. The 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA?2020) 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?2020 is a dual-track conference consisting of a Research Track and an Research Track. DSAA?2020 will also feature a peer-reviewed Student Poster session and an Industry 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. About Tutorials -------------------------------------------------------------------------------------- We solicit proposals for tutorials at the 2020 IEEE International Conference on Data Science and Advanced Analytics (DSAA?2020) on systematic lectures related to the theoretical foundations, algorithms and models, and better/hands-on practice of data science and analytics. A tutorial proposal should be no more than five pages in length (+1 cover sheet), single column, and fonts should be 11pt. The recommended duration of a tutorial is half-day (about 2-3 hours). The tutorial proposal should addrress the following aspects: * A cover sheet with the presenters? names, affiliations, addresses, emails, and phones (not counted in the 5 pages). * The proposed lecture/tutorial title. * An abstract about the summary of the tutorial. * Specific objectives and main field category (statistics/computer science/other). * A table of contents with enough details to provide a sense of both the scope of material to be covered and the depth to which it will be covered. * A short description of the intended audience and any prerequisite knowledge for attendees. * Each presenter?s name, affiliation, country, email and a short biographical sketch, describing relevant qualifications and lecturing experience; and identify at least one organizer as the contact person. * If (part of) the tutorial material or an earlier version of it has been presented elsewhere, the proposal should indicate those respective events (and dates), and describe how the current proposal differs from the previous editions (if at all). * Capacity to present via videoconference. We will consider all proposals for both introductory, advanced topics and hands-on practice. Each accepted tutorial will receive one free registration to DSAA?2020. Presenters will be required to provide comprehensive lecture/tutorial slides and references and a webpage if possible at least one week before the event, which will then be published on the DSAA?2020 website and thus be made available to the conference attendees free of charge. Accepted tutorials will be presented during the main DSAA conference as parallel sessions. Submission -------------------------------------------------------------------------------------- Tutorial proposals and enquiries should be submitted to the DSAA?2020 Tutorial chairs at tc_dsaa2020 at dsaa.co. -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at di.unipi.it Web: http://kdd.isti.cnr.it/homes/guidotti/ KDD Lab, Room: 286 Phone: +39 050 221 3134 -------------- next part -------------- An HTML attachment was scrubbed... URL: From syousefy at gmail.com Fri Apr 24 14:43:49 2020 From: syousefy at gmail.com (Siamak Yousefi) Date: Fri, 24 Apr 2020 13:43:49 -0500 Subject: Connectionists: Two Postdoctoral Fellowship Positions in Ophthalmic Data Mining and Machine Learning Message-ID: Applications are invited for two Postdoctoral Fellow positions in ?ophthalmic data mining and machine learning? areas in the Department of Ophthalmology and Department of Genetics, Genomics, and Informatics of the University of Tennessee Health Science Center (UTHSC) in Memphis. Candidates will work on multi-center projects collaborating with Harvard, Johns Hopkins, and Mount Sinai Medical Schools. There is a possibility for short visit of the mentioned schools and receiving support letters from other principal investigators. Highly-motivated postdoctoral fellows will develop classical supervised machine learning, unsupervised clustering and deep learning to mine retinal and corneal data including visual fields, fundus photographs, optical coherence tomography (OCT) images and genetic data for screening, diagnosis, prognosis, and monitoring of major eye diseases such as glaucoma, macular degeneration, and keratoconus. We have access to one of the largest multi-modal ophthalmic datasets in the US through our multi-center efforts as well as large single retinal ganglion cells (RGCs) dataset generated using 10x Genomics and Fluidigm technologies at UTHSC. We expect candidates with a PhD degree in computer science, data science, software engineering, computer engineering, electrical engineering, bioinformatics, or related areas. We anticipate highly motivated candidates with a solid research track record and excellent writing skills with a strong verbal and communication skills in English and the ability to work independently. The prospective candidates should be experienced in Python and R programming languages with knowledge of Google Tensorflow, scikit-learn, and Keras or other related deep learning libraries. One of the positions is more towards single cell RNA-Sequencing data analysis with required skills in manifold learning (tSNE and UMAP), unsupervised clustering, Seurat single cell data analysis package, and 10x Genomics data analysis pipeline (e.g., cell ranger). For more information please see: https://academic.uthsc.edu/faculty/facepage.php?netID=syousef1&personnel_id=351869 https://syousefy.wixsite.com/yousefilab If you are a good match and interested, please send your CV to siamak.yousefi at uthsc.edu and indicate ?Postdoc positions? in the subject of the email. Regards, Siamak Siamak Yousefi, PhD Assistant Professor Department of Ophthalmology Department of Genetics, Genomics, and Informatics Director of the Data Mining and Machine Learning (DM2L) Laboratory University of Tennessee Health Science Center 930 Madison Ave., Suite #726 Memphis, TN 38163 Phone: 9014487831 Lab webpage: https://syousefy.wixsite.com/yousefilab University profile: https://academic.uthsc.edu/faculty/facepage.php?netID=syousef1&personnel_id=351869 Reseachgate: https://www.researchgate.net/profile/Siamak_Yousefi4 -------------- next part -------------- An HTML attachment was scrubbed... URL: From riccardo.guidotti at unipi.it Fri Apr 24 04:48:30 2020 From: riccardo.guidotti at unipi.it (Riccardo Guidotti) Date: Fri, 24 Apr 2020 10:48:30 +0200 Subject: Connectionists: DSAA 2020 Call for Paper Message-ID: ====================================================================== IEEE DSAA'2020 CALL FOR PAPERS IN RESEARCH & APPLICATION TRACKS 06-09 Oct. 2020 Sydney, Australia http://dsaa2020.dsaa.co ====================================================================== Important Dates ---------------------------------------------------------------------------- * Paper (Research & Application tracks) Submission Deadline: 24 May 2020 * Paper (Research & Application tracks) Notification: 26 Jul. 2020 * Paper (Research & Application tracks) Camera Ready Due: 9 Aug. 2020 Highlights of IEEE DSAA'2020 ---------------------------------------------------------------------------- * Strong Research and Applications tracks with reproducible and open results. * Student Poster and Industry Poster sessions with lightning results highlighting student?s research advances and industry?s best practices. * One-day Industry Day with Data Science School for business. * Special sessions on the foundations and emerging areas for data science. * Special panel on the trends and controversies of data science and analytics. * A strong interdisciplinary research program spanning the areas of data science, including statistics, machine learning, computing, and analytics. * Strong cross-domain interactions among researchers and industry and government policy-makers 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. * Fully online! Due to ongoing uncertainty due to COVID-19, DSAA-20 commits to a fully online format with a corresponding reduced registration rate. About IEEE DSAA'2020 ---------------------------------------------------------------------------- The 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA) features its strong interdisciplinary synergy between statistics (via ASA), computing and information/intelligence sciences (IEEE and ACM), and cross-domain interactions between academia and business for data science and analytics. DSAA sets up a high standard for its organizing committee, keynote speeches, submissions to main conference and special sessions, and a competitive rate for paper acceptance. DSAA has been widely recognized as a dedicated flagship in data science and analytics such as by the Google Metrics and China Computer Foundation as an influential event in the area. The 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA?2020) 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?2020 is a dual-track conference consisting of a Research Track and an Research Track. DSAA?2020 will also feature a peer-reviewed Student Poster session and an Industry 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 with reproducible results available through a public git repository. Topics of interest include but are not limited to: * Data science foundations and theories * Mathematics and statistics for data science and analytics * Understanding data characteristics and complexities * Data quality and misinformation * Models, algorithms, and methods * Optimization, inference, and regularization * Infrastructures, and systems * Evaluation, explanation, visualization, and presentation * Survey and review Application 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 policy-makers, 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 modeling * Ethics, social issues, privacy, trust, and bias * Reflections and lessons for better practice DSAA Awards ----------------------------------------------------------------------------- DSAA features its Best Research Paper award and Best Application Paper award (with honorarium USD$500 each) and Next-generation Data Scientist award (honorarium USD1,000). Paper Formatting, Length, Double-blind Reviewing, and Reproducible ----------------------------------------------------------------------------- The paper length allowed for the papers in the Research and Application tracks is a maximum of ten (10) pages, whereas the paper length allowed for the Student Poster and Industry Poster papers is a maximum of two (2) pages. The format for both types of papers is the standard 2-column U.S. letter style IEEE Conference template. See the IEEE Proceedings Author Guidelines: https://www.ieee.org/conferences/publishing/templates.html for further information and instructions. All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference?s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews. Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA?2020. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to DSAA?2020 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper?s title and abstract are different from the one appearing in arXiv. Papers that appear in arXiv from the DSAA?2020 submission deadline until the review process has ended, are not allowed. Authors are also encouraged to support their papers by providing through a git-type public repository the code and data to support the reproducibility of their results. Proceedings, Indexing and Special Issues ----------------------------------------------------------------------------- All accepted full-length papers will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Top-quality papers accepted and presented at the conference will be selected for extension and invited to the special issues of the International Journal of Data Science and Analytics (JDSA, Springer) and some other journals we are working on. Submission ----------------------------------------------------------------------------- Submissions to the main conference including Research Track & Applications Track are available from Easy Chair (https://easychair.org/conferences/?conf=dsaa2020). Important Policies ----------------------------------------------------------------------------- Reproducibility & supplementary: The advancement of data science depends heavily on reproducibility. We strongly recommend that the authors release their code and data to the public. Authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file and start on page 11). This supplement can only be used to include (i) information necessary for reproducing the experimental results reported in the paper (e.g., various algorithmic and model parameters and configurations, hyper-parameter search spaces, details related to dataset filtering and train/test splits, software versions, detailed hardware configuration, etc.), and (ii) any data, pseudo-code and proofs that due to space limitations, could not be included in the main manuscript. Papers entering into the Best Research Paper and Best Application Paper awards must show solid evidence for reproducibility. Authorship: The list of authors at the time of submission is final and cannot be changed. Dual submissions: DSAA is an archival publication venue as such submissions that have been previously published, accepted, or are currently under-review at peer-review publication venues (i.e., journals, conferences, workshops with published proceedings, etc.) are not permitted. DSAA has a strict no dual submission policy. Conflicts of interest (COI): COIs must be declared at the time of submission. COIs include employment at the same institution at the time of submission or in the past three years, collaborations during the past three years, advisor/advisee relationships, plus family and close friends. Program chairs, poster chairs, special session chairs and tutorial chairs are not allowed to submit proposals to their managed tracks and sessions. Registration and presentation: At least one author of each accepted paper must register in full and present the paper online. No-show papers will be removed from the IEEE Xplore proceedings. Enquiries ----------------------------------------------------------------------------- General enquiries about paper submissions should be submitted to pc_dsaa20 at dsaa.co. -- Riccardo Guidotti Dipartimento di Informatica Universit? di Pisa, Largo Bruno Pontecorvo, 3, 56127 Pisa Mail: riccardo.guidotti at di.unipi.it Web: http://kdd.isti.cnr.it/homes/guidotti/ KDD Lab, Room: 286 Phone: +39 050 221 3134 -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.zock at lis-lab.fr Sat Apr 25 08:39:42 2020 From: michael.zock at lis-lab.fr (Michael Zock) Date: Sat, 25 Apr 2020 20:39:42 +0800 Subject: Connectionists: !!! 2nd cfp for CogALex (Cognitive Aspects of the Lexicon), a workshop co-located with COLING !!! Message-ID: ============================================================================ CogALex-VI, a Workshop on "Cognitive Aspects of the Lexicon" co-located with COLING 2020 Please pay attention to the newdeadlines, and apologies for cross-postings.============================================================================ Call for Papers ** ****C*ogALex* *Cognitive Aspectsof the Lexicon* *Workshop*co-located with *COLING* (28th International Conference on Computational Linguistics), Barcelona, Spain, *December 12, 2020 * Paper submission deadline: August 15, 2020 camera-ready version : October? 20, 2020 For latest information always look here https://sites.google.com/view/cogalex-2020 *1 Background * Supporting us in many tasks (/thinking, searching/, /memorizing/ and /communicating)/ words are important. Hence, one may wonder how to build tools supporting their learning and usage (access/navigation). Alas the answer is not quite as straightforward as it may seem. It depends on various factors: the questioner's /background/ (lexicography, psychology, computer science), the /task /(production/reception), and the /material support/ (hardware). Words in books, computers and the human brain are not the same. Obviously, being aware of this, different communities have focused on different issues ?(dictionary building; creation of navigational tools; representation and organization of words; time course for accessing a word, etc.)? yet, ?their views and ?respective goals have changed considerably over time. Rather than considering the lexicon as a static entity, where discrete units (words) are organized alphabetically (database view), dictionaries are now viewed dynamically, i.e., as lexical graphs, whose entities are linked in various ways (topical relations; associations) and whose weight links may vary over time. While lexicographers view words as products (holistic entities), psychologists and neuroscientists view them as processes (decomposition), involving various steps or layers (representations) between an input and an output. Computational linguists have their own ways to look at words, and their proposals have also changed quite a bit during the last decade./Discrete count-based vector representations /have successively been replaced by /continuous vectors/ (i.e., word embeddings) and then by /language-model-based contextualized representations/. These latter are more powerful than any of the other forms, as they are able to account for context ambiguity, outperforming the static models (including word-embeddings) in a broad range of tasks. As one can see, different communities look at words from different angles, which can be an asset, as complementary views may help us to broaden and deepen our understanding of this fundamental cognitive resource. Yet, this diversity of perspectives can also a problem, in particular if the field is rapidly moving on, as in our case. Hence it becomes harder and harder for everyone, including experts, to remain fully informed about the latest changes (state of the art). This is one of the reasons why we organize this workshop. More precisely, our goal is not only to keep people informed without getting them crushed by the information glut, but also to help them to perceive clearly what is new, relevant, hence important. Last, but not least, we would like to connect people from different communities in the hope that this may help them to gain new insights or inspirations. *2 Scope and Topics* This workshop is about possible /enhancements/ of /lexical resources/ (representation, organization of the data, etc.). To allow for this we invite researchers to submit their contributions. The idea is to discuss the limitations of existing resources and to explore possible enhancements that take into account the users? and the engineers' needs (computational aspects). Also, just like in the past we propose again a 'shared task'. This time the goal is to provide a common benchmark for testing lexical representations for the automatic identification of lexical semantic relations (synonymy, antonymy, hypernymy, part-whole meronymy) in various languages (English, Chinese, and so on). For this workshop we solicit papers including but not limited to the following *topics*, each of which can be considered from various points of view: /linguistics /(lexicography, computational- or corpus linguistics), /neuro/- or /psycholinguistics/ (tip-of-the-tongue problem, word associations), /network/-related sciences (vector-based approaches, graph theory, small-world problem), and so on. 1 Organization, i.e. structure of the lexicon * Micro- and macrostructure of the lexicon; * Indexical categories (taxonomies, thesaurus-like topical structures, etc.); * Map of the lexicon (topology) and relations between words (word associations). 2?? The meaning of words and how to reveal it * Lexical representation (holistic, decomposed); * Meaning representation (concept based, primitives); * Distributional semantics (count models, neural embeddings, etc. ) 3?? Analysis of the conceptual input given by a dictionary user * What information do language producers typically provide when looking for a word (terms, relations)? * What kind of relational information do they give: typed or untyped relations? * Which relations are typically used? 4 Methods for crafting dictionaries or indexes * Manual, automatic or collaborative building of dictionaries and indexes (crowdsourcing, serious games, etc.); * Extraction of associations from corpora to build semantic networks supporting navigation; * (Semi-) automatic induction of the link type (e.g., synonym, hypernym, meronym, ...). 5 Creation of new types of dictionaries * Concept dictionary; * Dictionary of larger segments than words (clauses, phrasal elements); * Dictionary of patterns or concept-patterns; * Dictionary of syllables. 6 Dictionary access (navigation and search strategies), interface issues * Search based on sound (rhymes), meaning or contextually related words (associations); * Determination of appropriate search space based on the user?s cognitive state (information available at the onset: query) and meta-knowledge (knowledge concerning the relationship between the input and the target word), ... * Identification of typical word access strategies (navigational patterns) used by people; * Interface problems, data visualization. *3 ?Workshop Submissions* ** The workshop features two tracks: * A*regular research track*, where the submissions must be substantially original. * A *shared task track*, with submissions consisting of system description papers. The regular research track submissions should follow one of the 2 formats: * *Long papers*(9 content pages + references) should report on solid and finished research including new experimental results, resources and/or techniques. * *Short papers*(4 content pages + references) should report on small experiments, focused contributions, ongoing research, negative results and/or philosophical discussion. Submissions must be anonymized, conform to the style sheet of COLING (https://coling2020.org/pages/call_for_papers), and be submitted via their website (https://www.softconf.com/coling2020/CogALex/ ). While some papers may be accepted only as posters, in the proceedings no distinction will be made between them and full papers. *4 Important Dates* *Workshop papers* * Paper *submission deadline*: August15, 2020 * Notification of acceptance: September 20, 2020 * Camera-ready papers due: October20, 2020 * Workshop date: December 12, 2020** ** ***Shared task* * Release of development data : August1st, 2020 * Release of test data : September 1st, 2020 * Announcement of winners : October 1st, 2020 * Shared task papers due: October20, 2020 *5 Invited Speaker*** //*Alex Arenas*//(http://deim.urv.cat/~alexandre.arenas/ ) Alephsys Lab, Computer Science & Mathematics, Universidad Rovira i Virgili, 43007 Tarragona, Spain *6 Workshop Organizers* * Michael Zock (LIS, CNRS, Aix-Marseille University, Marseille, France) * Alessandro Lenci (Comput. Linguistics Laboratory, University of Pisa, Italy) * Enrico Santus (MIT Computer Science & AI Lab, Boston, USA) * Emmanuele Chersoni (Hong Kong Polytechnic University, Hong Kong, China) * 7 Program Committee* see : https://sites.google.com/view/cogalex-2020/home/programme-committee * 8 Contacts* For *general questions*, please get in touch with /Michael Zock/ e-mail:michael.zock at lis-lab.fr Homepage: http://pageperso.lif.univ-mrs.fr/~michael.zock/ Concerning the*shared task*,**please contact* * Enrico Santus ??? ??? ??? ??? (esantus at gmail.com ), or ?? Emmanuele Chersoni ??? (emmanuelechersoni at gmail.com ) ---------------------------------------- Michael ZOCK Directeur de Recherche ?m?rite LIS UMR CNRS 7020 (Groupe TALEP) Aix Marseille Universit? 163 Avenue de Luminy - case 901 F-13288 Marseille/France Mail: michael.zock at lis-lab.fr Tel.:? +33 (0)4.86.09.06.85 Secr.: +33 (0)4.86.09.04.60 ??? ?? +33 (0)4.86.09.06.75 http://pageperso.lif.univ-mrs.fr/~michael.zock/ ------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Apr 27 05:49:14 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Mon, 27 Apr 2020 12:49:14 +0300 Subject: Connectionists: CVML live Web lectures 2nd May 2020: 1) Image acquisition, Camera geometry 2) Stereo and Multiview imaging References: <007b01d61c73$2ae250e0$80a6f2a0$@csd.auth.gr> Message-ID: <010101d61c79$1cf7a2e0$56e6e8a0$@csd.auth.gr> Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts, Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to launch the live CVML Web lecture series that will cover very important topics Computer vision/machine learning. Two lectures will take place on Saturday 2nd May 2020: 1) Image acquisition, Camera geometry 2) Stereo and Multiview imaging Date/time: a) Saturday 11:00-12:30 EET (17:00-18:30 Beijing time) for audience in Asia and b) Saturday 20:00-21:30 EET (13:00-14:30 EST, 10:00-11:30 PST for NY/LA, respectively) for audience in the Americas. Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lectures abstract 1) Image acquisition, Camera geometry Abstract: After a brief introduction to image acquisition and light reflection, the building blocks of modern cameras will be surveyed, along with geometric camera modeling. Several camera models, like the pinhole and the weak-perspective camera model, will subsequently be presented. Projective geometry will be overviewed, with the most commonly used camera calibration techniques closing the lecture. 2) Stereo and Multiview imaging Abstract: Stereoscopic and multiview imaging will be explored in depth. The fundamentals of stereopsis will be overviewed. Stereoscopic vision, geometry will be presented, focusing on epipolar geometry, fundamental/essential matrix and camera rectification. Stereo camera technologies will be overviewed. Subsequently, the main methods of 3D scene reconstruction from stereoscopic video will be described based on feature detection and matching. Classical and neural disparity estimation methods will be presented. 3D depth estimation in parallel, converging and arbitrary camera geometries will be also presented, along with the basics of multiview imaging. Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. He served as a Visiting Professor at several Universities. His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el AIIA Lab www.aiia.csd.auth.gr Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required. These two lectures are part of a 14 lecture CVML web course 'Computer vision and machine learning for autonomous systems' (April-June 2020): Introduction to autonomous systems (delivered 25th April 2020) Introduction to computer vision (delivered 25th April 2020) Image acquisition, camera geometry (scheduled 2nd May 2020) Stereo and Multiview imaging (scheduled 2nd May 2020) 3D object/building/monument reconstruction and modeling Signals and systems. 2D convolution/correlation Motion estimation Introduction to Machine Learning Introduction to neural networks, Perceptron, backpropagation Deep neural networks, Convolutional NNs Deep learning for object/target detection Object tracking Localization and mapping Fast convolution algorithms. CVML programming tools. Sincerely yours Prof. Ioannis Pitas Director of AIIA Lab, Aristotle University of Thessaloniki, Greece -------------- next part -------------- An HTML attachment was scrubbed... URL: From albrecht.haase at unitn.it Mon Apr 27 08:52:26 2020 From: albrecht.haase at unitn.it (Albrecht) Date: Mon, 27 Apr 2020 14:52:26 +0200 Subject: Connectionists: Seeking scientific programmer for remote work (5 months) on neurobiological data analysis In-Reply-To: References: Message-ID: *Position: Scientific programmer * *Location: Remote work! * *Duration: 5 months. * *Salary: ~3000 ?/ month gross. * *Start date: Flexible. * *Recommended background: at least MA (or equivalent background) in Computer Science, Data Science, Neuroinformatics or equivalent competence. * *Duties: * *Creating self-encapsulated didactic modules demonstrating application of cutting-edge ML/SL techniques to neurobiological time series (including human [fmri/dti], rodent [fMRI/LFP], insects (two-photon)). * *Modules will execute on cloud platforms, be self documented (e.g. Jupyter), rely on platform-agnostic data organization architectures (e.g., BigData) and support workflow-management and collaborative coding (e.g. Git/-annex/datalad). * *Target population for these didactic modules are PhD students in Cognitive Neurosciences and ***MA students in Computer Science and Engineering.** *Project carried out within interdisciplinary BRANDY project at the University of Trento, Italy. * *Necessary: Experience with scientific computing in cloud environments. * *Contact: Uri Hasson (uri.hasson at unitn.it) or Albrecht Haase (albrecht.haase at unitn.it) ?for details. * -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at cikm2020.org Mon Apr 27 11:29:55 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Mon, 27 Apr 2020 23:29:55 +0800 Subject: Connectionists: CIKM 2020 - Call for Posters and Demos- COVID19 UPDATES Message-ID: * Apologies for cross-posting * ** Call for POSTERS/DEMO PAPERS ** In conjunction with CIKM 2020 (October 19th-23rd, 2020) CIKM 2020 will be a fully virtual conference, with no travel involved, and presentations will be given via pre-recorded videos, followed by synchronized online discussions during the scheduled conference period. In this context, please note the revised submission deadlines below. The posters and demos track at CIKM aims to provide the opportunity for researchers and practitioners from academia, industry, and government to showcase their prototypes and research ideas to the community. We seek demonstrations and posters that showcase exciting new technologies and early prototypes within the scope of CIKM, as well as case studies from more mature systems with innovative features and functionalities. Important Dates (Updated): Demo and Poster Paper Submission Deadline: June 24, 2020 Demo and Poster Paper Acceptance Notification: August 7, 2020 Demo and Poster Paper Camera Ready Submission Deadline: August 28, 2020 All of the above deadlines are based on the Anywhere on Earth time Submission Guidelines - Demos Demo papers should describe the intended audience, point out the innovative aspects of the system being presented, and explain how those aspects contribute to the state of the art in knowledge and information management. The submissions must also make clear what the audience will experience during the demo. Submissions that are case studies should also explain the case being demonstrated. Authors may also include a URL of a screencast video (up to 10 minutes), screenshots, and additional external material (e.g., shared code on GitHub). A demo paper must be no more than 4 pages long (including references). Submission Guidelines - Posters Poster papers generally include late-breaking results of new and innovative work-in-progress research. The poster session fosters informal interactions between presenters and conference attendees, who will have the opportunity to explore and exchange ideas on the latest ongoing research projects. Submitted posters are expected to be aligned with the main CIKM topics. A poster paper must be no more than 4 pages long (including references). Chairs - Eirini Ntoutsi, L3S Research Center, Germany - Fouad Zablith, American University of Beirut, Lebanon More info: https://cikm2020.org/call-for-poster-and-demo-papers/ Check our sponsorship options for an opportunity to reach out to the experts in the domain! -------------- next part -------------- An HTML attachment was scrubbed... URL: From pablo.alvesdebarros at iit.it Tue Apr 28 05:40:36 2020 From: pablo.alvesdebarros at iit.it (Pablo Vinicius Alves De Barros) Date: Tue, 28 Apr 2020 09:40:36 +0000 Subject: Connectionists: CFP Deadline Extension - 10th IEEE International Conference on Development and Learning (ICDL), Valparaiso Chile Message-ID: We hope that this message finds you healthy and that you and your families are safe and well during these difficult times! Since many countries are still under heavy pressure from COVID-19 together with the fact the Southern Hemisphere is just entering winter, we have decided to reschedule the conference to the 28th to the 30th of October. The conference will be hybrid, hosting both onsite and online participants. Online participants will have a reduced fee. We have also extended the submission deadline, and already submitted papers can be modified. CALL FOR PAPERS DEADLINE EXTENDED: 10th IEEE International Conference on Development and Learning (ICDL) (This is the follow-up of the previous ICDL-EpiRob conference series) 28th-30th October 2020, Valparaiso, Chile https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Paper Submission Deadline: 14th June 2020 Paper Author Notification: 13th July 2020 Final Paper Version Due: 16th August 2020 Conference: 28th-30th October 2020 ==== 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 studies. ICDL is a highly selective annual international conference that aims to showcase and share the very best interdisciplinary and multidisciplinary research on how humans and animals develop sensing, reasoning and actions. ICDL community focusses on the understanding of how biological agents take advantage of interaction with social and physical environments to develop their cognitive capabilities. Moreover, how this knowledge can be used to improve future computing and robotic systems. We invite submissions for the conference to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== The primary list of topics of interest includes, 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; - verbal, 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. ==== Submissions ==== Authors are invited to submit original and unpublished papers of six pages with the possibility of two-extra pages at a fee. Submissions are in the IEEE conference template. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. For more information about submissions, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ICDL-EpiRob: Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics ? ICDL 2020 cdstc.gitlab.io IEEE International Conference on Development and Learning (ICDL), previously known as Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob). IEEE, CIS, CDSTC, Electrical and Electronic Engineers Inc., Computational Intelligence Society, Cognitive and Developmental Systems Technical Committee, Autonomous Mental Development . ICDL, IEEE International Conference on Development and Learning, 2020, 10th, Valpara?so, Chile. This page includes content related to call for papers, call for contributions, registration, submissions, attend, program, call, guidelines, computer science, robotics, psychology and developmental studies, sponsors, creative commons, license, research, about us. ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicol?s Navarro-Guerrero, and Mar?a-Jos? Escobar Bridge Chairs: Minoru Asada, Fr?d?ric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Crist?bal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee, ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia ? Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros at iit.it website: https://www.pablobarros.net twitter: @PBarros_br -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Apr 27 16:43:14 2020 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Mon, 27 Apr 2020 16:43:14 -0400 Subject: Connectionists: NEURAL NETWORKS, May 2020 Message-ID: Neural Networks - Volume 125, May 2020 (www.journals.elsevier.com/neural-networks) Reachable set bounding for neural networks with mixed delays: Reciprocally convex approach Ruihan Chen, Song Zhu, Yongqiang Qi, Yuxin Hou Synchronization of complex networks with time-varying delay of unknown bound via delayed impulsive control Zhilu Xu, Xiaodi Li, Peiyong Duan SOMprocessor: A high throughput FPGA-based architecture for implementing Self-Organizing Maps and its application to video processing Miguel Angelo de Abreu de Sousa, Ricardo Pires, Emilio Del-Moral-Hernandez Modeling uncertainty-seeking behavior mediated by cholinergic influence on dopamine Marwen Belkaid, Jeffrey L. Krichmar Reconstruction of natural visual scenes from neural spikes with deep neural networks Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, ... Jian K. Liu Neuromodulated attention and goal-driven perception in uncertain domains Xinyun Zou, Soheil Kolouri, Praveen K. Pilly, Jeffrey L. Krichmar Constructing large-scale cortical brain networks from scalp EEG with Bayesian nonnegative matrix factorization Chanlin Yi, Chunli Chen, Yajing Si, Fali Li, ... Peng Xu Transductive LSTM for time-series prediction: An application to weather forecasting Zahra Karevan, Johan A.K. Suykens Training high-performance and large-scale deep neural networks with full 8-bit integers Yukuan Yang, Lei Deng, Shuang Wu, Tianyi Yan, ... Guoqi Li Weighted discriminative collaborative competitive representation for robust image classification Jianping Gou, Lei Wang, Zhang Yi, Yunhao Yuan, ... Qirong Mao Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition Maoguo Gong, Ke Pan, Yu Xie, A.K. Qin, Zedong Tang Fast discrete cross-modal hashing with semantic consistency Tao Yao, Lianshan Yan, Yilan Ma, Hong Yu, ... Qi Tian Causal importance of low-level feature selectivity for generalization in image recognition Jumpei Ukita Collaborative learning with corrupted labels Yulin Wang, Rui Huang, Gao Huang, Shiji Song, Cheng Wu Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint Gui-Fu Lu, Qin-Ru Yu, Yong Wang, Ganyi Tang Low-rank discriminative regression learning for image classification Yuwu Lu, Zhihui Lai, Wai Keung Wong, Xuelong Li Supervised learning in spiking neural networks: A review of algorithms and evaluations Xiangwen Wang, Xianghong Lin, Xiaochao Dang Multiple Discrimination and Pairwise CNN for view-based 3D object retrieval Zan Gao, Haixin Xue, Shaohua Wan Improved multi-view GEPSVM via Inter-View Difference Maximization and Intra-view Agreement Minimization Yawen Cheng, Hang Yin, Qiaolin Ye, Peng Huang, ... Yuan Tian Event-triggered synchronization of discrete-time neural networks: A switching approach Sanbo Ding, Zhanshan Wang Robust min-max optimal control design for systems with uncertain models: A neural dynamic programming approach Mariana Ballesteros, Isaac Chairez, Alexander Poznyak Chaos in fractional-order discrete neural networks with application to image encryption Liping Chen, Hao Yin, Tingwen Huang, Liguo Yuan, ... Lisheng Yin Resilient fault-tolerant anti-synchronization for stochastic delayed reaction?iffusion neural networks with semi-Markov jump parameters Jianping Zhou, Yamin Liu, Jianwei Xia, Zhen Wang, Sabri Arik New criteria for global stability of neutral-type Cohen-Grossberg neural networks with multiple delays Ozlem Faydasicok Skeleton-based Chinese sign language recognition and generation for bidirectional communication between deaf and hearing people Qinkun Xiao, Minying Qin, Yuting Yin PET image super-resolution using generative adversarial networks Tzu-An Song, Samadrita Roy Chowdhury, Fan Yang, Joyita Dutta Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration Sehyung Lee, Makiko Negishi, Hidetoshi Urakubo, Haruo Kasai, Shin Ishii On the localness modeling for the self-attention based end-to-end speech synthesis Shan Yang, Heng Lu, Shiyin Kang, Liumeng Xue, ... Dong Yu End-to-end semantic segmentation of personalized deep brain structures for non-invasive brain stimulation Essam A. Rashed, Jose Gomez-Tames, Akimasa Hirata Parametric Deformable Exponential Linear Units for deep neural networks Qishang Cheng, HongLiang Li, Qingbo Wu, Lei Ma, King Ngi Ngan CNN-MHSA: A Convolutional Neural Network and multi-head self-attention combined approach for detecting phishing websites Xi Xiao, Dianyan Zhang, Guangwu Hu, Yong Jiang, Shutao Xia From ygucluturk at gmail.com Tue Apr 28 05:22:56 2020 From: ygucluturk at gmail.com (=?UTF-8?B?WWHEn211ciBHw7zDp2zDvHTDvHJr?=) Date: Tue, 28 Apr 2020 11:22:56 +0200 Subject: Connectionists: Invitation and call for abstracts for VCCA2020 - Computational Audiology Message-ID: Dear List, It is our pleasure to send out this Save the date and call for abstracts for the *first Virtual Conference on Computational Audiology* (VCCA) to be held on *June 19, 2020*! In these times of social distancing, we intend to use the opportunities modern communication technology offers to bring researchers from all over the world together in a virtual conference setting. What better topic than the combination of audiology ? the primary sense humans use for communication ? and AI/computation ? an advanced means by which we try to model and make sense of the world? We have subdivided this broad topic into: - Computational models - Machine learning for audiology - AI for auditory implants - e-Audiology (connected hearing health care) - AI & Music (for hearing impaired people) Our central mission is to improve (access to) hearing healthcare for more than 450 million hearing impaired people worldwide. The target audience for this conference is young researchers that wish to present their work and ideas. We offer a podium to receive feedback from peers and to get mentored by senior researchers. The choice for a virtual conference means: - There will be no participation fee - We can more easily reach out to research groups in AI and Audiology worldwide. There is a *young scientist award* for the best contribution to encourage input from young scientists. *Format* All presentations and discussions will be recorded and together with the submitted abstracts made freely accessible via our website . We would like to take advantage of the virtual aspects of this conference by creating sessions that consist of a mixture of different talk and discussion formats and distribute time slots over a 24 hour period. We provide the opportunity for researchers and research groups to submit one-minute videos explaining their work, which will be placed on the conference website. We also offer the opportunity to submit links to research group websites and announcements of webinars to be placed on the conference website. Last but not least, we will encourage social interaction by providing virtual ?coffee breaks? and other social activities. *Abstract submission* Abstracts of 300+/- words in length will be accepted online and must include Background, Methods, Results, and Conclusions (click this link , for an example). Submissions must include an e-mail address for all co-presenters/co-authors, and we strongly recommend the inclusion of a 2-minute ignite style video (here on this page is a 2-minute example by Prof Barbour). The link to the portal to submit your abstract online will be available at https://computationalaudiology.com/vcca2020-call-for-abstracts/ on May 15, 2020. The deadline for abstract submission is *May 31* (we?ll try to upload abstract starting May 15). Notification of abstract acceptance will be *June 5.* Note: If you forward this message, please add vcca2020 at computationalaudiology.com in cc, so that we can track who already received our invitation. *Further information* https://computationalaudiology.com/ https://computationalaudiology.com/event/virtual-conference-on-computational-audiology/ We will regularly update the conference website with new information. Feel free to send questions or suggestions to vcca2020 at computationalaudiology.com Kind regards, *the Organizing committee* Ya?mur G??l?t?rk Peter van Hengel Alex Tichter Jan-Willem Wasmann -- Dr. Ya?mur G??l?t?rk Assistant Professor at Cognitive Artificial Intelligence Department , Donders Institute for Brain, Cognition and Behaviour , Radboud University , Nijmegen, Netherlands Email: y.gucluturk at donders.ru.nl Telephone: +310243611175 Postal address: Postbus 9104 6500 HE Nijmegen Netherlands Visiting address: SP B 00.78A Montessorilaan 3 6525 HR Nijmegen Netherlands -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Tue Apr 28 05:30:50 2020 From: jonizhong at msn.com (Joni Zhong) Date: Tue, 28 Apr 2020 09:30:50 +0000 Subject: Connectionists: [CFP] 2nd CFP: SMC 2020 Special Session: Human-in-the-loop Machine Learning and Its Applications In-Reply-To: References: , Message-ID: https://jonizhong.weebly.com/smc2020.html [https://cdn2.editmysite.com/images/site/footer/og-image-placeholder-blank.png] SMC2020 - Cognitive Robotics, Machine Learning - J Zhong ==COVID-19 UPDATE== We will be closely following the update of COVID-19 and the organizing of SMC 2020. Important Dates: - Deadline for Submission: April 30, 2020 - Acceptance... jonizhong.weebly.com Toronto, Canada, OCT 11-14, 2020 Deadline: April 30, 2020 ==COVID-19 UPDATE== We will be closely following the update of COVID-19 and organizing plan of SMC 2020. ==Topical Collection== The selected papers are encouraged to submit their extended versions to the Topical Collection of the Neural Computing and Applications (Springer). https://www.springer.com/journal/521/updates/17925472 Dear all, We would like to cordially invite you to submit a paper for the Special Session ?Human-in-the-loop Machine Learning and Its Applications? in the IEEE International Conference on Systems, Man, and Cybernetics 2020, held on Oct 11-14, 2020, in Toronto Canada. Human-in-the-Loop (HIL) means including human feedback into the training loop of the machine learning models in order to facilitate the following requirements: 1) to improve the quality of training and reduce/prevent the error of the model. When the testing error is larger than a certain threshold, the HIL learning model is able to obtain the new data-points from the users in an interactive way. 2) to incorporate the human user labelling to improve the pre-trained models. During the training of the state-of-the-art models, the quality of the training data-sets is extremely important. One solution to actively incorporate more data is optimizing the models by including the human users? feedback (e.g. rewards in RL) or new data-points (e.g. supervised learning) to adapt the pre-trained models in different environments. In the aforementioned requirements, humans are involved in the training process of the algorithms by continuously optimizing the model?s parameters, feeding the data or even adjusting the model itself by meta-learning. From the perspective of algorithm design, a key problem to design a proper training with a human in the loop is how to leverage both active learning from a human and the optimization of the models. In other words, how can we design a proper query strategy depending on different applications and scenarios? When properly implemented, the HIL is suitable to be applied in real-world applications where the data is sparse. The active learning mechanism built in the model can be helpful which could seek the human?s help in a form of supervised or reinforcement learning. In this way, proper designs of interactive displays, machines and robots could be of help to obtain the human?s inputs. Specifically, we are particularly encouraging robotic applications and their experimental deployment using HIL algorithms. We believe that the HIL algorithms will be an effective method to make robotic platforms more adaptive and safer to interact with. The workshop will offer the opportunity for researchers and practitioners in the diverse field where human reinforcement feedback would have a positive impact on the training processes. The inclusion of HIL would allow robots and machine learning models to use both internal and external feedback to speed up the learning process and also improve its performance. In many ways, this could allow the models to learn through their own self-reflection as well as the external input from a human. Topics of interest include, but are not limited to: Human Guided Reinforcement Learning; Human-robot Collaboration; Human-robot Social Interaction; Dialogue Systems with Human-in-the-loop; Interpretable Machine Learning with Human-in-the-loop; Active Learning and Continuous Learning; Learning by Demonstration; Human Factors in HCI/HRI, etc. Important Dates: - Deadline for Submission: April 30, 2020 - Acceptance Notification: May 10, 2020 - Conference Dates: Oct 11-14, 2020. Organizers: Joni Zhong, Nottingham Trent University, UK Mark Elshaw, Coventry University, UK Yanan Li, University of Sussex, UK Stefan Wermter, University of Hamburg, Germany Xiaofeng Liu, Hohai University, China -------------- next part -------------- An HTML attachment was scrubbed... URL: From weixu at cse.ohio-state.edu Mon Apr 27 17:38:58 2020 From: weixu at cse.ohio-state.edu (Xu, Wei) Date: Mon, 27 Apr 2020 21:38:58 +0000 Subject: Connectionists: The 6th Workshop on Noisy User-generated Text (WNUT 2020): Call for Paper Message-ID: == The 6th Workshop on Noisy User-generated Text (WNUT 2020) == The WNUT Workshop will be collocated with EMNLP 2020 (going virtual!). The website for the workshop is at: http://noisy-text.github.io/ The WNUT workshop focuses on Natural Language Processing applied to noisy user-generated text, such as that found in social media, online reviews, crowdsourced data, web forums, clinical records and language learner essays. This year, there will be a [shared task] on Named Entity Recognition over Wet-lab Protocols. We seek submissions of both long and short papers on original and unpublished work (same format and page limit as EMNLP main conference). 1-page abstracts on work-in-progress or work published elsewhere are also welcome and will *not* be included in the conference proceedings. All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally. We have [best paper awards] sponsored by Twitter this year. Topics of interest include but are not limited to: * NLP Preprocessing of Noisy Text - Part of speech tagging - Named entity tagging, including a wide range of categories, e.g. product names - Chunking of user-generated text - Parsing * Text Normalization and Error Correction - Normalizing noisy text for downstream tasks and for human readability - Error detection and correction * Robustness to Noise, both Natural and Adversarial * Multilingual NLP in noisy text * Machine Translation of Noisy Text * Sentiment analysis * Crowdsourcing of text data * User prediction, e.g. gender, age, etc * Stylistics, e.g. formality, politeness, etc * Colloquial language, e.g. code-switching, idiom detection * Bilingual translation of the noisy text * Paraphrase identification and semantic similarity of short text or noisy text * Information extraction from noisy text * Domain adaptation to user-generated text * Geolocation prediction * Global and regional trend detection and event extraction * Detecting rumors, contradictory information, sarcasm and humor on social media * Extracting user demographics, profiles, and major life events * Temporal aspects of user-generated content (resolving time expressions, concept drift, diachronic analyses, etc...) = IMPORTANT DATES = * Aug 25, 2020: Workshop paper due (dual-submission w/ EMNLP main conference allowed) * Sept 15, 2020: Retraction of workshop papers accepted for EMNLP main conference * Sept 29, 2020: Notification of acceptance * Oct 2, 2020: Retraction of workshop papers accepted for COLING main conference * Oct 8, 2020: Camera-ready papers due * Nov 19, 2020: Workshop date = SHARED TASKS = * June-July, 2020 (tentative): Named Entity Recognition over Wet-lab Protocols = ORGANIZERS = Wei Xu (Ohio State University) Leon Derczynski (IT University of Copenhagen) Alan Ritter (Ohio State University) Tim Baldwin (University of Melbourne) Afshin Rahimi (University of Queensland) = INVITED SPEAKERS = Eduardo Blanco (University of North Texas) Manaal Faruqui (Google Research) = PROGRAM COMMITTEE = Muhammad Abdul-Mageed (University of British Columbia) ?eljko Agi? (Corti) Sweta Agrawal (University of Maryland) Gustavo Aguilar (University of Houston) Nikolaos Aletras (University of Sheffield) Rahul Aralikatte (University of Copenhagen) Eiji Aramaki (NAIST) Francesco Barbieri (Universitat Pompeu Fabra) John Beieler (ODNI Science and Technology) Eric Bell (PNNL) Anya Belz (University of Brighton) Adrian Benton (JHU) Eduardo Blanco (University of North Texas) Su Lin Blodgett (UMass Amherst) Julian Brooke (University of British Columbia) Tuhin Chakrabarty (Columbia University) Stevie Chancellor (Northwestern University) Mingda Chen (Toyota Technological Institute at Chicago) Sihao Chen (University of Pennsylvania) Colin Cherry (Google) Zewei Chu (University of Chicago) Manuel R. Ciosici (IT University of Copenhagen) Oana Cocarascu (Imperial College London) Nigel Collier (University of Cambridge) ?a?r? ??ltekin (University of T?bingen) Paul Cook (University of New Brunswick) Marina Danilevsky (IBM Research) Leon Derczynski (IT University of Copenhagen) Jay DeYoung (Northeastern University) Bhuwan Dhingra (Bhuwan Dhingra) Seza Do?ru?z (Tilburg University) Xinya Du (Cornell University) Jacob Eisenstein (Google) Heba Elfardy (Amazon) Micha Elsner (Ohio State University) Manaal Faruqui (Google) Lucie Flekova (Mainz University of Applied Sciences) Lisheng Fu (New York University) Yoshinari Fujinuma (University of Colorado, Boulder) Juri Ganitkevitch (Google) Dan Garrette (Google) Spandana Gella (Amazon) Kevin Gimpel (TTIC) Yvette Graham (Dublin City University) Mika H?m?l?inen (University of Helsinki) William L. Hamilton (McGill University/MILA) Xiaochuang Han (Carnegie Mellon University) Devamanyu Hazarika (National University of Singapore) Jack Hessel (Cornell University) Graeme Hirst (University of Toronto) Nathan Hodas (PNNL) Dirk Hovy (Bocconi University) Sarthak Jain (Northeastern University) Nanjiang Jiang (Ohio State University) Lifeng Jin (Ohio State University) Ishan Jindal (IBM Research) Kristen Johnson (Michigan State University) Kenny Joseph (University at Buffalo) Katharina Kann (University of Colorado, Boulder) David Kauchak (Pomona College) Roman Klinger (University of Stuttgart) Ekaterina Kochmar (University of Cambridge) Reno Kriz (University of Pennsylvania) Sachin Kumar (Carnegie Mellon University) Vivek Kulkarni (University of California Santa Barbara) Jonathan Kummerfeld (University of Michigan) Oph?lie Lacroix (Siteimprove) Wuwei Lan (Ohio State University) Jiwei Li (ShannonAI) Jessy Junyi Li (University of Texas Austin) Jing Li (Hong Kong Polytechnic University) Yitong Li (University of Melbourne) Nut Limsopatham (University of Glasgow) Zhiyuan Liu (Tsinghua University) Fei Liu (University of Melbourne) Yiqun Liu (Tsinghua University) Wei-Yun Ma (Academia Sinica) Mounica Maddela (Ohio State University) Peter Makarov (University of Zurich) H?ctor Mart?nez Alonso (Apple) Aaron Masino (The Children's Hospital of Philadelphia) Nitika Mathur (University of Melbourne) Ahmed Mourad (RMIT University) Hamdy Mubarak (Qatar Computing Research Institute) Graham Mueller (Leidos) Maria Nadejde (Grammarly) Guenter Neumann (German Research Center for Artificial Intelligence) Vincent Ng (University of Texas at Dallas) Thien Huu Nguyen (University of Oregon) Eric Nichols (Honda Research Institute) Tong Niu (University of North Carolina at Chapel-Hill) Benjamin Nye (Northeastern University) Alice Oh (KAIST) Naoaki Okazaki (Tohoku University) Naoki Otani (CMU) Myle Ott (Facebook AI) Symeon Papadopoulos (CERTH-ITI) Umashanthi Pavalanathan (Georgia Tech) Yuval Pinter (Georgia Tech) Christopher Potts (Stanford University) Vinodkumar Prabhakaran (Stanford University) Daniel Preo?iuc-Pietro (Bloomberg) Ella Rabinovich (University of Toronto) Dianna Radpour (University of Colorado Boulder) Preethi Raghavan (IBM Research) Afshin Rahimi (University of Queensland) Revanth Rameshkumar (Microsoft Research) Sudha Rao (Microsoft Research) Adithya Renduchintala (JHU) Carolyn Rose (CMU) Alla Rozovskaya (City University of New York) Derek Ruths (McGill University) Koustuv Saha (Georgia Tech) Keisuke Sakaguchi (Allen Institute for Artificial Intelligence) Maarten Sap (University of Washington) Amirreza Shirani (University of Houston) Dan Simonson (BlackBoiler) Kevin Small (Amazon) Jan ?najder (University of Zagreb) Xingyi Song (University of Sheffield) Evangelia Spiliopoulou (Carnegie Mellon University) Gabriel Stanovsky (Allen Institute for Artificial Intelligence) Ian Stewart (Georgia Tech) Shivashankar Subramanian (University of Melbourne) Jeniya Tabassum (Ohio State University) Yi Tay (Google) Zhiyang Teng (Westlake University) Joel Tetreault (Dataminr) James Thorne (University of Cambridge) Rob van der Goot (University of Groningen) Vasudeva Varma (IIIT Hyderabad) Olga Vechtomova (University of Waterloo) Alakananda Vempala (Bloomberg) Rob Voigt (Stanford University) Soroush Vosoughi (Dartmouth University) Xiaojun Wan (Peking University) Zeerak Waseem (University of Sheffield) Zhongyu Wei (Fudan University) Hong Wei (University of Maryland) Steven Wilson (University of Edinburgh) Yu Ning (Leidos) Guido Zarrella (MITRE) Vicky Zayats (University of Washington) Justine Zhang (Cornell University) Xiao Zhang (Purdue University) Shi Zong (Ohio State University) = SUBMISSION = Formatting should be according to EMNLP 2020 specifications. Dual submission is allowed, but must state at the time of submission. Please submit through the START system at the following url: https://www.softconf.com/emnlp2020/wnut2020/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From bwyble at gmail.com Mon Apr 27 19:20:40 2020 From: bwyble at gmail.com (Brad Wyble) Date: Mon, 27 Apr 2020 19:20:40 -0400 Subject: Connectionists: DEADLINE EXTENSION: Neuromatch Summer Academy Students, TAs and Mentors Message-ID: The deadline for applications from students, TAs, and faculty or industry mentors for Neuromatch Academy had been extended to May 7th! About Neuromatch Academy: The pandemic has shut down nearly every summer program in the world at which students, postdocs and faculty would normally gather to acquire crucial skills and build networks. We?re building a program to replace this loss. Our plan is to have a 3-week online course July 13-31 focused on computational analysis and simulation of neural data with intensive mentoring by knowledgeable TAs and faculty mentors to help with projects. Tuition will be relatively minimal (~ 100-200 USD) and also voluntary. TAs will be paid a stipend for their time because it will be intensive. Mentorship by faculty will be substantially less work. Interested in signing up as a potential participant, a TA, or a faculty mentor? Fill out one of the three forms below. Also, please feel free to send this out as widely as possible. We?re trying to cast a global net, especially to people outside of the US and Europe. Tutorials will take place in parallel tracks in different time zones and in multiple languages when possible. Note that the deadline for applications is now May 7th. Webpage: https://neuromatch.io/academy/ Form for student applications https://docs.google.com/forms/d/e/1FAIpQLSen1oyFWIQ38vlBSxUdlWU4AwQ_UYGqQZcGAS_cEmMdN6cdNw/viewform Form for TA applications https://docs.google.com/forms/d/e/1FAIpQLSc4aL49WV_dnt7WlXjEwsY8Mb30I2E0VHa8LROYPcmmwkzLdw/viewform Form for Mentor Applications https://docs.google.com/forms/d/e/1FAIpQLSef-slmLcnVT7H-wkM-7wT5ePBh3TVg7UXzl7FP9C17ciojxQ/viewform -- Brad Wyble Associate Professor Psychology Department Penn State University http://wyblelab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From malini.vinita.samarasinghe at ini.rub.de Wed Apr 29 04:01:33 2020 From: malini.vinita.samarasinghe at ini.rub.de (Vinita Samarasinghe) Date: Wed, 29 Apr 2020 10:01:33 +0200 Subject: Connectionists: Deadline Extended - Cheng lab - Two PhD positions In-Reply-To: References: Message-ID: The deadline for applications to the positions below has been extended to 15.05.2020. Sen Cheng, at the Institute for Neural Computation, Ruhr University Bochum, is looking to fill two PhD positions. Both are funded for 3 years and start as soon as possible. The positions are in the field of computational neuroscience and excellent programming skills are mandatory. 1.The successful candidate will study the function of episodic memory in spatial navigation and time series prediction using computational modeling. This research builds on a computational model that was developed in the research group. The model incorporates a virtual environment and machine learning methods such as reinforcement learning, and deep neural networks. This model should be extended to enable the use of episodic memory in reinforcement learning. https://www.stellenwerk-bochum.de/jobboerse/wissenschaftl-mitarbeiterin-wiss-mitarbeiter-mwd-2588-stdwoche-3-jahre-bo-2020-03-27-307326 2. The successful candidate will develop and study computational models of episodic memory and spatial navigation. The models will be based on biologically plausible spiking neurons and will account for the generation and learning of complex behaviors. The research focus will be on modeling the influence of neuro- and psychopathologies on observable behavior. https://www.stellenwerk-bochum.de/jobboerse/wissenschaftl-mitarbeiterin-wiss-mitarbeiter-mwd-2588-stdwoche-3-jahre-bo-2020-03-27-307328 The deadline for applications is 15.05.2020 23:59 CEST. For further details regarding the positions and instructions on how to apply please follow the given links. English versions of the postings can also be found at: https://www.ini.rub.de/the_institute/jobs/ Please quote the job number when applying. We look forward to hearing from you! Kind regards, -- 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 27316 Email:samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Wed Apr 29 02:05:52 2020 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Wed, 29 Apr 2020 06:05:52 +0000 Subject: Connectionists: [jobs] One Researcher Position in Reducing Vulnerability Regarding (Healthcare) Robotics Message-ID: [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to potential candidates who might be interested.] One Researcher Position in Reducing Vulnerability Regarding (Healthcare) Robotics The goal of the position is to develop knowledge about and technology for reducing vulnerabilities regarding robotics. The focus will be on privacy, security and safety, particularly in healthcare contexts. The scope will be dependent on the background of the recruited candidate, but with a planned main focus within either robot sensing with regards to privacy, machine ethics for robot security, or motion preferences for robot safety. The position is a part of the Research Council of Norway funded project Vulnerability in the Robot Society (VIROS, 2019-2023) see https://www.jus.uio.no/ifp/english/research/projects/nrccl/viros/index.html ). The project is a cross-disciplinary collaboration between the Department of Private Law and Department of Informatics at the University of Oslo and some other departments and partners. Its aims at developing technology and proposals for regulatory measures to reduce vulnerabilities regarding robotics. The Researcher position will be for a period of three years, but with the possibility of an extension of the employment period if additional external funding becomes available. We have several international collaborators and having a stay of up to 6 months with one of these could be possible. The University of Oslo is Norway?s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Qualifications: Applicants must have a PhD degree or other education equivalent to a Norwegian doctoral degree in computer science including robotics and machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming, robotics and machine learning/artificial intelligence. Moreover, knowledge in the fields of motion tracking and analysis, sensor data analysis, biology-inspired techniques, rapid prototyping, simulation, and behavior modeling would be an advantage. A number of partners are involved in the project so collaboration skills would also be assessed. Pay grade (depending on qualifications and seniority): NOK 523 200 ? 640 200 per year, approx.: ?46,300 ? 56,650 / $50,300 ? 61,560 Announcement: https://www.jobbnorge.no/en/available-jobs/job/185082/researcher-in-reducing-vulnerability-regarding-healthcare-robotics Closing date for applications: and 9th May, 2020 Applications are to be submitted through a web page and NOT by e-mail. Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From sanjay.ankur at gmail.com Tue Apr 28 10:33:43 2020 From: sanjay.ankur at gmail.com (Ankur Sinha) Date: Tue, 28 Apr 2020 15:33:43 +0100 Subject: Connectionists: Announcing the release of the CompNeuro-Fedora OS for Computational Neuroscientists Message-ID: <20200428143343.7olae3zhpqkvqnmi@ankur.home> Hello everyone, (Apologies for the cross-posts) The NeuroFedora team is excited to announce the first release of the CompNeuro-Fedora operating system for computational neuroscientists. https://labs.fedoraproject.org/en/comp-neuro/ CompNeuro-Fedora is a Fedora Linux based Free/Open Source operating system that includes a plethora of tools for computational modelling. These tools are built from their sources as per the Fedora packaging guidelines that enforce the current best practices in software development. So, all you have to do is: - download the image, - install it to disk or a virtual machine (or run it "live"), and - get to work! This release of the ISO image is based on the popular GNOME desktop environment. For computational neuroscience, it includes: Auryn, Bionetgen, Calc: calcium-calculator, COPASI, GetDP, GENESIS, MOOSE, NEST simulator, NEURON, PyLEMS, Smoldyn; along with multiple tools used in analysis: the complete Python science stack: NumPy, SciPy, Matplotlib, IPython, SymPy, and Pandas, R, Julia, GNU Octave, GNUPlot, Paraview, and others. Apart from this set of tools, the NeuroFedora team also provides more neuroscience software that can be installed from the Fedora repositories. Additionally, you also have access to the *complete* set of Free/Open Source software packages available for the Fedora Linux distribution. You can read more about the CompNeuro-Fedora release here: https://neuroblog.fedoraproject.org/2020/04/28/fedora-32-computational-neuroscience-ready-to-install-iso-image-is-now-available.html NeuroFedora is a Free/Open Source volunteer community based initiative to support the use of Free/Open Source software in Neuroscience. The team consists wholly of volunteers who spend a few hours a week on this project. We would love to hear from you, and for you to join us. We especially encourage students to join the community to develop their skills while contributing to NeuroFedora. You can learn more about NeuroFedora here: https://neuro.fedoraproject.org You can get in touch with the community using any of our communication channels: https://docs.fedoraproject.org/en-US/neurofedora/communicating/ -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in PhD candidate in computational neuroscience at UH Biocomputation | http://biocomputation.herts.ac.uk/ Research Fellow at the Silver Lab | http://silverlab.org/ Free/Open source community volunteer at the Fedora project | https://fedoraproject.org/wiki/User:Ankursinha Time zone: Europe/London -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 488 bytes Desc: not available URL: From hans.opdebeeck at kuleuven.be Tue Apr 28 08:37:50 2020 From: hans.opdebeeck at kuleuven.be (Hans Op de Beeck) Date: Tue, 28 Apr 2020 12:37:50 +0000 Subject: Connectionists: =?windows-1252?q?Postdoc_position_=93Computationa?= =?windows-1252?q?l_cognitive_neuroscience_of_vision_and_learning=94?= Message-ID: Postdoc position ?Computational cognitive neuroscience of vision and learning? The research group of Hans Op de Beeck at the University of Leuven (Belgium) has a position for a postdoc to investigate the neural basis of visual cognition and learning from a computational & cognitive neuroscience perspective. We have a particular interest in the organization of the ventral visual pathway, and hope to better understand the factors that constrain this organization and its further adaptation due to learning experiences and visual expertise. Research lines involve multivariate fMRI & EEG and computational modelling, often using learning paradigms and/or populations of real-world experts. More information on our research group can be found at hoplab.be. Eligible candidates have research experience and a PhD in a relevant area, also demonstrated with first-author peer-reviewed publications. Affinity with neuroimaging methods is important, as are a computational and quantitative background, advanced computer skills (e.g. Python, Matlab), preferably with some experience applying artificial neural networks (with e.g. PyTorch or TensorFlow), and advanced statistical knowledge. Further assets are a creative mind, good problem solving skills and a collaborative and collegial attitude. We currently have funding for up to three years. We have a good track record helping postdocs obtain their own personal prestigious fellowships afterwards, as such allowing them to extend their stay and broaden the range of research questions. The net amount of the salary will be competitive and in accordance with the University fellowship scales for postdoctoral researchers. The position is research-only, without teaching obligations, but teaching opportunities can be arranged if wanted. KU Leuven is one of the best European universities according to international rankings (#45 world-wide in the THE ranking). Our research group belongs to the department of Brain & Cognition that contains almost 100 scientists, many of them with interest in vision, learning, and neuroscience. The department is located in the centre of Leuven, a vibrant university town which is only a 25-minute commute from the centre of Brussels and its international airport. The starting date would ideally be around October 2020, but obviously we will be flexible given the current international travel restrictions and further personal constraints. For further information contact Hans Op de Beeck. Applications can be submitted through the electronic application system of KU Leuven (https://www.kuleuven.be/personeel/jobsite/jobs/55640485), and should include a motivation letter and CV, mentioning the names and contact information of at least two referents. The provisional submission deadline is May 25th. Late submissions might still be considered, but no guarantees. --- Prof. Dr. Hans P. Op de Beeck Head of Department of Brain & Cognition University of Leuven (KU Leuven), Belgium Tiensestraat 102, 3000 Leuven, Belgium, PO Box 3714 Email: hans.opdebeeck at kuleuven.be Personal profile: http://ppw.kuleuven.be/home/english/research/lbp/lbpMembers/00029058 Lab Website: https://www.hoplab.be -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Wed Apr 29 06:30:43 2020 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 29 Apr 2020 16:00:43 +0530 Subject: Connectionists: Submission deadline for ISCMI20(Stockholm) less than 2 months away Message-ID: Dear esteemed colleagues, Warmest greetings. Trust all is well at your end. Pls. take care & stay safe. This is a gentle reminder that the paper submission deadline for ISCMI20 is *25th June* i.e. *less than* *2 months away* http://iscmi.us Hope to receive your submission?. *Proceedings* The proceedings of all the previous 6 lSCMl conferences are available at IEEE Xplore. Apart from the lEEE published proceedings & availability at Xplore, there is scope for a selected subset of papers to be considered for publication at a special issue of the NCAA journal (a Springer publication with 2018 Impact Factor & 5 year Impact Factor of 4.664 & 3.570 respectively https://www.springer.com/journal/521). *Prof. Zadeh Memorial lecture * The annual llCCl Prof. Zadeh Memorial lecture at ISCMI 2020 will be delivered by Prof. B-M Bernadette, the current President of IEEE Computational Intelligence Society (Life Fellow, IEEE & also Fellow, IFSA). Hope to see you in Stockholm later this year! Best rgds, Suash General Chair, ISCMI20 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Apr 29 09:15:58 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 29 Apr 2020 15:15:58 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2020 Madrid Spain December 1-3, 2020 Message-ID: *Apologies for any cross posting* *Ninth** International Conference on Complex Networks & Their Applications* *Madrid, Spain December 1- 3, 2020* *http://www.complexnetworks.org * You are cordially invited to submit your contribution until September 02, 2020. *Speakers :* ? Leman Akogu Carnegie Mellon University, USA ? Fosca Giannotti KDD Lab Pisa, Italy ? J?nos Kert?sz Central European University Hungary ? Vito Latora Queen Mary, University of London UK ? Alex ?Sandy? Pentland MIT Media Lab, USA ? Nata?a Pr?ulj Barcelona Supercomputing Center Spain *Tutorials:* *November 30, 2020* ? David Garcia Complexity Science Hub Vienna Austria ? Mikko Kivel? Aalto University Finland *Publication* *Full papers (not previously published up to 12 pages) *and *Extended Abstracts* *(about published or unpublished research up to 3 pages)* *are welcome.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Frontiers in Big Data o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* *ADVISORY BOARD* Jon Crowcroft *University of Cambridge, UK* Raissa D'Souza *UC Davis, USA* Eugene Stanley *Boston University, USA* Ben Y. Zhao *University of Chicago, USA* *PROGRAM CHAIRS* Chantal Cherifi *University of Lyon, France* Luis M. Rocha *Indiana University, USA* Marta Sales-Pardo *Universitat Rovira i Virgili, Spain* *LIGHTNING CHAIRS* Jes?s Gomez Garde?es *University of Zaragoza, Spain* Jos? F. Mendes *University of Aveiro, Portugal* Huijuan Wang *TU Delft, Netherlands* *POSTER CHAIRS* Manuel Marques Pita *Universidade Lus?fona, Portugal* Taha Yasseri *University of Oxford, UK* Jos? Javier Ramasco *IFISC, Spain* *TUTORIAL CHAIRS* Luca Maria Aiello *Nokia-Bell Labs, UK* Leto Peel *Universit? Catholique de Louvain, Belgium* *SATELLITE CHAIRS* Sabrina Gaito *Universit? degli Studi di Milano, Italy* Javier Galeano *Universidad Politecnica de Madrid, Spain* *PUBLICITY CHAIRS* Benjamin Renoust *Osaka University, Japan* Michael Schaub *Oxford, UK* Andreia Sofia Teixeira *Indiana University, USA* Xiangjie Kong* Dalian* *University of Technology, China* *SPONSOR CHAIRS* Roberto Interdonato *CIRAD, France* Regino Criado* Universidad Rey Juan Carlos de Madrid, Spain* *PUBLICATION CHAIR* Matteo Zignani *Universit? degli Studi di Milano, Italy* *WEB CHAIR* Stephany Rajeh *University of Burgundy, France* *LOCAL COMMITTEE CHAIR* Juan Carlos Losada *Universidad Politecnica de Madrid, Spain* *Join us at *: COMPLEX NETWORKS 2020 Madrid Spain *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentina.ivanova at ri.se Wed Apr 29 09:01:52 2020 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Wed, 29 Apr 2020 13:01:52 +0000 Subject: Connectionists: ESWC 2020 Registration, Conference Outline & Related Info Message-ID: The 17th European Semantic Web Conference (ESWC 2020) June 2nd - June 4th, 2020, online ESWC is a premier venue for discussing the latest scientific results and innovations in the field of semantic technologies on the Web and Linked Data, attracting a high number of participants from academia and industry alike. Follow us: Web Page: https://2020.eswc-conferences.org/ Twitter: @eswc_conf Facebook: https://www.facebook.com/ESWCCONF LinkedIn: https://www.linkedin.com/groups/8843932/ In this announcement: ******************************************* 1. Conference Outline - ESWC 2020 will be a virtual conference taking place between June 2 ? 4, 2020. Find more information about the conference outline at: https://2020.eswc-conferences.org/conference-outline/ 2. Registration - The registration site for the ESWC 2020 is now open. For the different registration options, please visit the registration page: https://2020.eswc-conferences.org/registration/ 3. Accepted Papers, Posters & Demos https://2020.eswc-conferences.org/accepted-papers/ https://2020.eswc-conferences.org/accepted-posters-and-demos/ 4. Workshops & Tutorials https://2020.eswc-conferences.org/workshops/ https://2020.eswc-conferences.org/tutorials/ 5. Keynotes & Panel - Modularity in OWL by Uli Sattler - https://2020.eswc-conferences.org/keynote-uli-sattler/ - Graph first, semantics follows by Michael Schmidt - https://2020.eswc-conferences.org/keynote-michael-schmidt/ - Language, Ontology, and the Semantic Web by John F. Sowa - https://2020.eswc-conferences.org/keynote-john-f-sowa/ - Panel Discussion: Knowledge Graph: Past, Present and Future - https://2020.eswc-conferences.org/panel-discussion/ The ESWC 2020 Organising Team https://2020.eswc-conferences.org/organising-committee/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From michele.giugliano at sissa.it Wed Apr 29 12:20:36 2020 From: michele.giugliano at sissa.it (Michele Giugliano) Date: Wed, 29 Apr 2020 18:20:36 +0200 Subject: Connectionists: Two postdoctoral positions in cellular electrophysiology and neurobiology at SISSA, Italy Message-ID: Apologies for cross posting Two postdoctoral positions in cellular electrophysiology and neurobiology at SISSA, Italy Two postdoctoral positions are available immediately at the Neuroscience Area of SISSA - the International School for Advanced Studies, in the lab of Neuronal Dynamics head by Dr. Michele GIUGLIANO. Both positions are covered for up to 38 months each, on an EC-Horizon 2020 funded project called "Ionic Neuromodulation For Epilepsy Treatment (IN-FET)". (www.in-fet.eu ) This project combines neurobiology, nanotechnologies, electrochemistry, and electronics together towards a novel breakthrough technology in brain modulation. At SISSA, we aim at experimentally validating novel routes for cellular and microcircuit stimulation or suppression, in collaboration with a consortium of partners which includes IBM Research Zurich, the University of Geneva, the University of Sheffield, and the Inter-university consortium for Nanoelectronics. We thus search for experts in in vitro electrophysiology (substrate-integrated microelectrode arrays) and patch-clamp recordings (dissociated cell cultures, acute and organotypic brain tissue slices) with a strong background in quantitative data analysis and an interest for interdisciplinary research. The deadline for the application is 28/05/2020 and the link to apply is: https://pica.cineca.it/sissa/ar-fe-neur-29-2020/ More information at: https://www.sissa.it/bandi/selezione-pubblica-titoli-colloquio-conferimento-di-n-2-assegni-di-ricerca-area-neuroscienze-1 For scientific inquiries, email to michele.giugliano_AT_sissa.it For administrative inquiries, email to assegniricerca_AT_sissa.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Wed Apr 29 12:53:50 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Wed, 29 Apr 2020 17:53:50 +0100 Subject: Connectionists: CFP: Special Issue on Foundations of Data Science - Machine Learning Journal Message-ID: Special Issue on Foundations of Data Science - Machine Learning Journal Data science is currently a very active topic with an extensive scope, both in terms of theory and applications. Machine Learning is one of its core foundational pillars. Simultaneously, Data Science applications provide important challenges that can often be addressed only with innovative Machine Learning algorithms and methodologies. This special issue focuses on the latest developments in Machine Learning foundations of data science, as well as on the synergy between data science and machine learning. We welcome new developments in statistics, mathematics and computing that are relevant for data science from a machine learning perspective, including foundations, systems, innovative applications and other research contributions related to the overall design of machine learning and models and algorithms that are relevant for data science. Theoretically well-founded contributions and their real-world applications in laying new foundations for machine learning and data science are welcome. This special issue solicits the attention of a broad research audience. Since it brings together a variety of foundational issues and real-world best practices, it is also relevant to practitioners and engineers interested in machine learning and data science. Accepted papers will be presented at the IEEE DSAA conference in Porto, October 2021. --------------------------------------------------------- Topics of Interest --------------------------------------------------------- We welcome original research papers on all aspects of data science in relation to machine learning, including the following topics: *Machine Learning Foundations of Data Science Auto-ML Fusion of information from disparate sources Feature engineering, Feature embedding and data preprocessing Learning from network data Learning from data with domain knowledge Reinforcement learning Evaluation of Data Science systems Risk analysis Causality, learning causal models Multiple inputs and outputs: multi-instance, multi-label, multi-target Semi-supervised and weakly supervised learning Data streaming and online learning Deep Learning *Emerging Applications Autonomous systems Analysis of Evolving Social Networks Embedding methods for Graph Mining Online Recommender Systems Augmented Reality, Computer Vision Real-Time Anomaly, Failure, image manipulation and fake detection *Human Centric Data Science Privacy preserving, Ethics, Transparency Fairness, Explainability, and Algorithm Bias Accountability and responsibility Reproducibility, replicability and retractability Green Data Sciences *Infrastructures IoT data analytics and Big Data Large-scale processing and distributed/parallel computing; Cloud computing *Data Science for the Next Digital Frontier in: Telecommunications and 5G Retail, Green Transportation Finance, Blockchains, Cryptocurrencies Manufacturing, Predictive Maintenance, Industry 4.0 Energy, Smart Grids, Renewable energies Climate change and sustainable environment Contributions must contain new, unpublished, original and fundamental work relating to the Machine Learning journal?s mission. All submissions will be reviewed using rigorous scientific criteria whereby the novelty of the contribution will be crucial. --------------------------------------------------------- Submission Instructions -------------------------------------------------------- Submit manuscripts to: http://MACH.edmgr.com. Select ?SI: Foundations of Data Science? as the article type. Papers must be prepared in accordance with the Journal guidelines: https://www.springer.com/journal/10994 Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals. All papers will be reviewed following standard reviewing procedures for the Journal. --------------------------------------------------------- Key Dates --------------------------------------------------------- Continuous submission/review process Cutoff dates: 30 September, 30 December and 1st March Last paper submission deadline: 1 March 2021 Paper acceptance: 1 June 2021 Camera-ready: 15 June 2021 --------------------------------------------------------- Guest Editors --------------------------------------------------------- Al?pio Jorge, University of Porto, Jo?o Gama, University of Porto Salvador Garc?a, University of Granada Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From r.bakker at donders.ru.nl Thu Apr 30 03:51:40 2020 From: r.bakker at donders.ru.nl (Rembrandt Bakker) Date: Thu, 30 Apr 2020 09:51:40 +0200 Subject: Connectionists: postdoc position: registering fully reconstructed neurons to brain atlases Message-ID: Postdoc position Neuroinformatics at Radboud University Nijmegen, The Netherlands This project 'NeuronsReunited' is about real, physical connections at the most detailed level, where long-range axons that reach across the brain target specific neurons in multiple brain areas/layers. Reliable techniques to fully reconstruct such axons have only recently become available. Our experimental partner (Clasca, Madrid) has been pioneering with this and his lab is tracing neurons one by one at a high level of precision. Several large projects are underway to map much larger numbers of neurons (MouseLight, Allen Brain Cell Types), and the goal of this project is to asses the precision of those large scale projects by comparison with the "gold standard' neurons used in this project. Deliverables of the project include tools for speeding up the conversion of experimental data into digital axons, and to precisely place neurons into a digital reference brain to reveal their context. They are applied to existing and new data in mouse, and the resulting insights are incorporated into new models for brain function. The project is a collaboration between five international partners, two experimental partners (Prof. Francisco Clasca, Madrid; Prof. Egidio d?Angelo, Pavia) and three computational/theoretical partners (Prof. Paul Tiesinga, Dr. Rembrandt Bakker, Nijmegen; Prof. Michele Giugliano, Trieste; Prof. Sacha Van Albada, J?lich). See the full job description and application form at https://www.academictransfer.com/nl/291439/postdoctoral-researcher-neuroinformatics/ Best regards, Rembrandt Bakker -------------- next part -------------- An HTML attachment was scrubbed... URL: From v.steuber at herts.ac.uk Thu Apr 30 08:46:30 2020 From: v.steuber at herts.ac.uk (Volker Steuber) Date: Thu, 30 Apr 2020 12:46:30 +0000 Subject: Connectionists: PhD Studentship in Computational Neuroscience and Rehabilitation Robotics at the University of Hertfordshire In-Reply-To: References: Message-ID: PhD Studentship in Computational Neuroscience and Rehabilitation Robotics Biocomputation Research Group Centre for Computer Science and Informatics Research University of Hertfordshire, UK Application deadline 1 June 2020 Bursary GBP 15,285 p.a. Applications are invited for PhD positions in the Biocomputation Research Group at the University of Hertfordshire. (http://biocomputation.herts.ac.uk/).? Project description Stroke is a major cause of disability in adults. More than 15 million strokes occur every year in the world, and more than 100,000 of these affect patients in the UK. Stroke patients often have an impaired ability to control their upper limbs and need assistance with every-day tasks. Relearning motor skills after stroke is similar to learning new motor skills, for example learning to play tennis, but a problem for stroke survivors is that their impaired movements often restrict the ability to use sensory feedback for re-learning. Rehabilitation robotics has shown promise to augment the rehabilitation process and to offer feedback on performance. However, the personalisation of the therapy to individual needs remains a major challenge to date. The proposed project will use a computational model of the cerebellum that is being developed by the Biocomputation Research Group (biocomputation.herts.ac.uk) to optimise robotic rehabilitation for individual subjects. The cerebellum has been optimised throughout vertebrate evolution to become an adaptive controller of biological skeletomuscular structures that is unrivalled by any artificial adaptive motor control algorithm. This has led and is still leading to the development of a rapidly increasing number of computational models of cerebellar learning, and to the successful applications of these cerebellar models to controlling simulated and real robots. The PhD project will involve the development and application of personalised cerebellar models in order to optimise rehabilitation robots for individual subjects. Applicants should have excellent computational and numerical skills and a very good first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Successful candidates are eligible for a research studentship award from the University (GBP 15,285 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the latest Research Excellence Framework Assessment, with 50% of the research submitted rated as internationally excellent or world leading. The Centre for Computer Science and Informatics Research 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 north of London.? Please contact Dr Volker Steuber or Prof Farshid Amirabdollahian for informal enquiries. Application forms are available under https://www.herts.ac.uk/study/schools-of-study/engineering-and-computer-science/research-in-engineering-and-computer-science/the-phd-programme-in-computer-science and should be returned to doctoralcollegeadmissions at herts.ac.uk. The short-listing process will begin on 1 June 2020. -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.arleo at inserm.fr Thu Apr 30 10:47:04 2020 From: angelo.arleo at inserm.fr (angelo.arleo at inserm.fr) Date: Thu, 30 Apr 2020 16:47:04 +0200 Subject: Connectionists: Fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France Message-ID: <1C399CAB-2FAA-4C94-A88A-3DEE8AF51AA1@inserm.fr> Fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France Job description Applications are invited for a 3-year PhD position to develop clinical endpoints of daily-life activity for low vision patients in order to assess visual restoration. The therapeutic benefits of vision restoration are usually evaluated in clinical studies using conventional functional measures such as visual field and contrast sensitivity. However, these tests are not sufficient to characterize the impact of a visual pathology on patients? quality of life and autonomy. This project will set forth a set of benchmark measures to evaluate a range of daily life functions (locomotion, spatial orientation, posture, balance, reading) in real or virtual conditions. The main goal is to identify behavioral biomarkers of the benefit of vision restoration solutions (namely optogenetic therapy and retinal implants) in visually impaired patients. The PhD candidate will work hand-in-hand with clinicians of the National Hospital Center for Ophthalmology of the Quinze-Vingts and with researchers of the Vision Institute as well as the Streetlab company. The project will be carried out under the supervision of Dr. Colas Authi? and Dr. Angelo Arleo. Requirements & eligibility criteria Applicants should have a quantitative background (engineering, computer science, physics, applied mathematics), and a keen interest in behavioral neuroscience. The ideal candidate should have expertise in virtual reality, motor control, and biometric data analysis. Experience in low-vision or knowledge on machine learning and programming languages (Matlab, C or Python) are a plus. Knowledge of French is important (but not mandatory). Proficiency in oral and written English is required. Successful candidates are expected to work in an interdisciplinary environment with engineers, neuroscientists, and clinicians. Applicants must be in the first four years of their research career and they must not have lived in France more than 12 months during the last 3 years. Benefits The position is funded by the Marie Curie ITN project ENTRAIN-VISION and it will start in fall 2020. It corresponds to a full PhD appointment (36 months) with competitive salary and working conditions, monthly mobility allowance, and family allowance (if family obligations). It also provides continuing education, secondments in the private sector, training modules, and transferable skills courses. Working environment The Vision Institute is one of the top international centers for integrated research on vision and eye diseases. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology of the Quinze-Vingts. The Vision Institute includes multidisciplinary research laboratories, which share state-of-the-art platforms for human and animal experimentation. It also harbors a Clinical Investigation Center, which fosters translational research. The Streetlab provides a panel of unique platforms (reproducing virtual and real immersive environments) and standardized evaluation solutions to measure autonomy, mobility, and quality of life of visually impaired people. How to apply Applicants should apply to the ENTRAIN-VISION consortium (www.entrain-vision.eu ) by May 29th, 2020. For further inquiries, please contact Colas Authi? (colas.authie at streetlab-vision.com ) and/or Angelo Arleo (angelo.arleo at inserm.fr ). *************************************** Angelo ARLEO FONTAINE, PhD Director of Research CNRS Head of the Aging in Vision and Action Lab, Director of the Chair Silversight, Institute of Vision, CNRS - INSERM - Sorbonne University, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 46 84 09 56 Email: angelo.arleo at inserm.fr Website: www.aging-vision-action.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From Patrick.Gallinari at lip6.fr Thu Apr 30 11:42:55 2020 From: Patrick.Gallinari at lip6.fr (Patrick Gallinari) Date: Thu, 30 Apr 2020 17:42:55 +0200 Subject: Connectionists: =?utf-8?q?Assistant/Associate/Full_Professor_in_D?= =?utf-8?q?ata_Science_and_Machine_Learning_-_Sorbonne_Center_for_Artifici?= =?utf-8?q?al_Intelligence_=E2=80=93_Abu_Dhabi?= Message-ID: <0c53c8e9-6a80-c511-5ba4-d009981e7019@lip6.fr> Sorbonne University Abu Dhabi invites applications for outstanding candidates for a five-year academic position (Chair of Excellence), open to candidates with a strong background in the field of Data Science and Deep Learning, and an experience of applied research projects. The candidate will work in close collaboration with Total, a major energy operator, sponsor of the position. *Application deadline:*June 30th, 2020 *Qualifications: *PhD in Mathematics/Statistics/Computer Science/Machine Learning, or related areas. Excellent academic background and recognized experience in research fields above mentioned. Demonstrated international recognition in his/her own research field. Teaching experience. *Grade:*Rank is at the Assistant, Associate, or Full Professor commensurate with experience *How to apply:*Please apply through the link: http://www.sorbonne.ae/vacancies/(French) or https://www.sorbonne.ae/work-with-us/vacancies/(English) *Contacts*: for scientific information: patrick.gallinari at sorbonne-universite.fr , for general information: silvia.serrano at sorbonne.ae -- Prof. Patrick Gallinari Sorbonne Universite - LIP6 Boite 169 4 place Jussieu, 75252 Paris Cedex 05, France Tel: 33144277370 http://www-connex.lip6.fr/~gallinar/ -- L'absence de virus dans ce courrier ?lectronique a ?t? v?rifi?e par le logiciel antivirus Avast. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.i.l.vakar at uu.nl Thu Apr 30 11:49:52 2020 From: m.i.l.vakar at uu.nl (=?UTF-8?B?TWF0dGhpanMgVsOha8Ohcg==?=) Date: Thu, 30 Apr 2020 17:49:52 +0200 Subject: Connectionists: PhD Position Message-ID: Dear colleagues, (Apologies for cross-posting; please share with your students and colleagues as is appropriate.) Utrecht University's Software Technology group is looking to hire a PhD candidate. We are interested in finding a candidate who is excited to work on mathematical aspects of computer science. Specifically, our team works on differential and probabilistic programming, with topics ranging from the foundations of the field in (applied) category theory, programming language theory, and continuous mathematics, to applications in programming language implementation, scientific computing, and machine learning. We are looking for a student who is enthusiastic about research and will take the initiative to make the most of this very flexible PhD position. For more details, see https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-position-in-differential-and-probabilistic-programming-10-fte The deadline for applications is Monday, June 8, 2020, but applications will be considered until the position is filled. For all inquiries please contact Matthijs V?k?r (m.i.l.vakar at uu.nl) Kind regards, Matthijs ---------------------- https://www.uu.nl/staff/MILVakar -------------- next part -------------- An HTML attachment was scrubbed... URL: