From Darren.Hurley-Smith at rhul.ac.uk Fri May 1 14:16:13 2020 From: Darren.Hurley-Smith at rhul.ac.uk (Hurley-Smith, Darren) Date: Fri, 1 May 2020 18:16:13 +0000 Subject: Connectionists: Fw: [CfP] Security and Trust Management 2020 Call for Papers In-Reply-To: References: , Message-ID: Greetings, We would like to bring your attention to the following call for papers, as it is our belief that you share our professional interest in matters of Security and Trust Management. =========================================================================== STM 2020 The 16th International Workshop on Security and Trust Management Co-located with: ESORICS 2020 September 17-18, 2020, University of Surrey, Guildford, UK https://www.iit.cnr.it/stm2020/ =========================================================================== SCOPE STM (Security and Trust Management) is a working group of ERCIM (European Research Consortium in Informatics and Mathematics). STM 2020 is the sixteenth workshop in this series and will be held at the University of Surrey, Guildford, UK, in conjunction with the 25th European Symposium On Research in Computer Security (ESORICS 2020). The workshop seeks submissions from academia, industry, and government presenting novel research on all theoretical and practical aspects of security and trust in ICTs. TOPICS OF INTEREST * Access control * Anonymity * Applied cryptography * Authentication * Data and application security * Data protection * Data/system integrity * Digital rights management * Economics of security and privacy * Formal methods for security and trust * Identity management * Legal and ethical issues * Mobile security * Networked systems security * Operating systems security * Privacy * Security and trust metrics * Security and trust policies * Security and trust management architectures * Security and trust for big data * Security and trust in cloud environments * Security and trust in content delivery networks * Security and trust in crowdsourcing * Security and trust in social networks * Security and trust in the Internet of Things * Security and trust in pervasive computing * Security and trust in services * Security and trust in edge computing * Security and trust in embedded systems and associated applications * Security and trust in blockchain protocols and applications * Social implications of security and trust IMPORTANT DATES All deadlines are at 11.59PM / 23:59 American Samoa Time Submission: June 22, 2020 Notification: August 3, 2020 Camera-ready: August 10, 2020 INSTRUCTIONS FOR PAPER SUBMISSION All submissions should be appropriately anonymized (i.e., papers should not contain author names or affiliations, or obvious citations). Submissions should be at most 16 pages in the LNCS format, including the bibliography and well-marked appendices. All submissions must be written in English, and only PDF files will be accepted (a Latex source file will be required for the final version of accepted papers). The final version of an accepted paper must be in the format required for publication in the LNCS series. Authors should consult Springer?s authors? guidelines and use their proceedings templates. Springer encourages authors to include their ORCIDs https://goo.gl/hbsa4D in their papers. Submissions not meeting these guidelines risk rejection without consideration of their merits. Submissions are to be made to the submission web site at: https://easychair.org/conferences/?conf=stm2020 Papers must be received by the deadline of June 22 (11:59 p.m. American Samoa time). At least one author of accepted papers must guarantee that they will present their paper at the workshop. As in previous years, the proceedings are planned to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. A paper submitted to STM 2020 cannot be under review for any other conference or journal during the time it is being considered for STM 2020. Furthermore, after you submit to STM 2020, you must await our response before submitting elsewhere. If you submit your paper to another conference or journal either before or after submission of the paper to STM 2020, we will reject your paper without review and will also notify the other conference/journal. This restriction applies to identical as well as to substantially similar papers. In addition, the corresponding author of each accepted paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. PROGRAM CHAIRS Kostantinos Markantonakis, Information Security Dept., Royal Holloway, UK Marinella Petrocchi, Institute for Informatics and Telematics, CNR, Pisa, Italy PROGRAM COMMITTEE Sara Abugazalah, King Khalid University, Saudi Arabia Raja Naeem Akram, Information Security Dept., Royal Holloway, UK Cristina Alcaraz, University of Malaga, Spain Stefano Calzavara, Universit? Ca? Foscari Venezia, Italy Madeline Cheah, Horiba Mira, UK Mauro Conti, University of Padua, Italy Gabriele Costa, IMT School for Advanced Studies, Lucca, Italy Haitham Cruickshank, University of Surrey, UK Jorge Cuellar, Siemens AG, Germany Sabrina De Capitani di Vimercati, University of Milano, Italy Rocco De Nicola, IMT School for Advanced Studies, Lucca, Italy Roberto Di Pietro, Hamad Bin Khalifa University, Doha, Qatar Michela Fazzolari, IIT-CNR, Italy Sara Foresti, Universit? degli Studi di Milano, Italy Lettiero Galletta, IMT School for Advanced Studies, Lucca, Italy Olga Gadyatskaya, LIACS, Leiden University, The Netherlands Gerhard Hancke, City University of Hong Kong, Hong Kong Thibaut Heckmann, ISG Smart Card and IoT Security Centre, London, UK Julio Hernandez, University of Kent, UK Darren Hurley-Smith, Information Security Dept., Royal Holloway, UK Christos Kaloniatis, University of the Aegean, Greece Ghassan Karame, NEC Laboratories Europe, Germany Nikos Komninos, City University of London, UK Giovanni Livraga, Universit? degli Studi di Milano, Italy Eleonora Losiouk, University of Padua, Italy Emmanuel Magkos, Ionian University, Greece Luigi Mancini, Universit? di Roma La Sapienza, Roma, Italy Fabio Martinelli, IIT-CNR, Italy Ilaria Matteucci, IIT-CNR, Italy Sjouke Mauw, University of Luxembourg, Luxembourg Keith Mayes, Information Security Group, Royal Holloway, UK Nikolaos Petroulakis, Foundation for Research and Technology-Hellas (FORTH), Greece Nikos Pitropakis, Edinburgh Napier University, UK Joachim Posegga, University of Passau, Germany Konstantinos Rantos, Eastern Macedonia and Thrace Institute of Technology, Greece Michael Rusinowitch, LORIA ? INRIA Nancy, France Pierangela Samarati, University of Milano, Italy Damien Sauveron,University of Limoges, France Daniele Sgandurra, Royal Holloway, UK Angelo Spognardi, Universit? di Roma La Sapienza, Roma, Italy Mark Strembeck, Vienna University of Economics and Business, Vienna Tom Van Goethem, KU Leuven, Belgium Mathy Vanhoef, NYU Abu Dhabi, United Arab Emirates Chan Yeob Yeun, Khalifa University, Abu Dhabi, United Arab Emirates Chia-Mu Yu, National Chung Hsing University, Taiwan We look forwards to receiving your submissions. Kind regards, Darren Hurley-Smith, Ph.D., Publicity Chair Lecturer in Information Security Information Security group Royal Holloway University of London darren.hurley-smith at rhul.ac.uk This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free. -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at acsos.org Fri May 1 16:09:23 2020 From: publicity at acsos.org (ACSOS 2020) Date: Fri, 1 May 2020 21:09:23 +0100 Subject: Connectionists: ACSOS 2020: Deadline Extended for Full Papers Message-ID: <3c079443-ebeb-eac8-f8e7-c01928041aa6@acsos.org> ******* ACSOS 2020 - Deadline Extended! ********1st IEEE International Joint ICAC/SASO Conference onAutonomic Computing and Self-Organizing Systems17-21 August 2020 ? Washington, DC & Online https://2020.acsos.org/https://twitter.com/ACSOSconf************************************************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!*** Important Dates - Note Extended Deadline! ****EXTENDED: **May 8*, 2020: Abstract submission deadline(optional) *EXTENDED: **May**15*, 2020: Paper submission deadline (final)June 20, 2020: Notification to authorsJuly 8, 2020: Camera Ready DeadlineAugust 17-21, 2020: ACSOS Conference!*** Statement Regarding COVID-19 *** The 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. We are aware of the restrictions and uncertainty that people are facing, and therefore want to take this opportunity to offer some certainty to the community. We would first 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. Secondly, our aspiration is to enable our whole international community to have, as much as possible, a stimulating and equitable opportunity to share and discuss their work and ideas in the areas of autonomic and self-organizing computing systems. At this point we would like to announce and confirm that: - The conference *will* take place, and on its original dates in August. - There will be an opportunity to present virtually, for anyone who cannot or chooses not to travel. - All accepted papers will be published in the conference proceedings by IEEE, regardless of whether a physical or virtual presentation is given. - The paper submission deadline will be extended by 1 month, in order to support authors to still produce their best work, despite the additional challenges that many of us are facing at the moment. - Whether the conference becomes entirely virtual or a hybrid is a decision that we will make when we know more, and by early June at the latest. This is to ensure people have ample time to make travel arrangements, in the case of physical attendance. - In the tradition of ICAC and SASO, which merged to form ACSOS, ACSOS will continue to be an IEEE sponsored conference, regardless of whether the conference becomes fully virtual this year. 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.* *** Newsflash! ****We are also pleased to confirm that:- Selected papers will be invited for extension to be published in ACM Transactions on Autonomous and Adaptive Systems (TAAS).- Following the merger of two IEEE conferences, ICAC and SASO, we are pleased to confirm that ACSOS continues as an IEEE sponsored conference.*** Challenge and Scope ***The complexity of current and emerging networks, software, and services can be characterized by issues such as scale, heterogeneity, openness, and dynamics, both internally and in the environment. These issues have led the software engineering, distributed systems, and systems management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, machine learning, chemistry, psychology, sociology, and biology) to find new ways of designing and managing such computing systems in a principled way. Yet challenges remain to build autonomic systems that exhibit the desirable self-* properties (i.e., self-organizing, self-adaptive, self-healing, self-aware, etc).The mission of ACSOS is to provide an interdisciplinary forum for researchers and industry practitioners to address these challenges to make resources, applications, and systems more autonomic, self-adaptive,? and self-organising. ACSOS provides a venue to share and present their experiences, discuss challenges, and report state-of-the-art and in-progress research. The conference program will include technical research papers, in-practice experience reports, posters, demos, and a doctoral symposium.We invite novel contributions related to the fundamental understanding of autonomic computing, self-adaption and self-organization along with principles and practices of their engineering and application. The topics of interest include, but are not limited to: - Autonomic and Self-* system properties: robustness; resilience; resource efficiency; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness;- Autonomic and Self-* systems theory: bio-inspired and socially-inspired paradigms and heuristics; theoretical frameworks and models; formal languages; queuing and control theory; requirement and goal expression techniques; uncertainty as a 1st class entity- Autonomic and Self-* systems engineering: reusable mechanisms and algorithms; design patterns; programming languages; architectures; operating systems and middleware; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems;- Data-driven management: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage the behavior of complex systems or establishing self-awareness;- Mechanisms and principles for self-organisation and self-adaptation: inter-operation of self-* mechanisms; evolution, logic, and learning; addressing large-scale and decentralized systems;- Socio-technical self-* systems: human and social factors; visualization; crowdsourcing and collective awareness;- Hardware concepts for autonomic computing systems: self-* materials; self-construction; reconfigurable hardware;- Cross disciplinary research: approaches that draw inspiration from complex systems, organic computing, artificial intelligence, chemistry, psychology, sociology, and biology. We invite research papers applying autonomic and self-* approaches to a wide range of application areas, including:- Smart grids, smart cities, homes, and manufacturing; - Cyber-physical systems; autonomous vehicles and robotics; traffic management;- Self-adaptive cybersecurity;- Internet of Things;- Cloud computing and data centers;- Fog/edge computing;- Hypervisors, operating systems, and middleware. Selected papers from ACSOS 2020 will be invited for extensions in ACM Transactions on Autonomous and Adaptive Systems (TAAS).*** Submission Instructions ***Research papers will be accepted as either long papers up to 10 pages or short papers up to 7 pages (including references) and formatted according to the standard IEEE Computer Society Press proceedings style guide.Please submit your papers electronically in PDF format using the ACSOS 2020 Easychair site:https://easychair.org/my/conference?conf=acsos20 Note that separate calls for Poster, Demo, and In-Practice Report Submissions will also be issued, as well as a call for participation in the Doctoral Symposium.The proceedings will be published by IEEE Computer Society Press and made available as a part of the IEEE Digital Library. As per the standard IEEE policies, all submissions should be original, i.e., they should not have been previously published in any conference proceedings, book, or journal and should not currently be under review for another archival conference. We would also like to highlight IEEE?s policies regarding plagiarism and Self-plagiarism: (https://www.ieee.org/publications/rights/plagiarism/id-plagiarism.html ). Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions.*** Review Criteria ***Papers should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research. Both theoretical and empirical contributions should be highlighted, substantiated by formal analysis, simulation, experimental evaluations, or comparative studies. Appropriate references must be made to related work. Due to the cross-disciplinary nature of the ACSOS conference, we encourage papers to be intelligible and relevant to researchers who are not members of the same specialized sub-field. Authors are also encouraged to submit papers describing applications. Application papers should provide an indication of the real-world relevance of the problem that is solved, including a description of the domain, and an evaluation of performance, usability, or comparison to alternative approaches. Experience papers are also welcome, especially if they highlight insights into any aspect of design, implementation or management of self-* systems that would be of benefit to practitioners and the ACSOS community. All submissions will be rigorously peer-reviewed and evaluated based on the quality of their technical contribution, originality, soundness, significance, presentation, understanding of the state of the art, and overall quality.The conference organizers will select one paper to be awarded the Karsten Schwan Best Paper Award. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nguyensmai at gmail.com Fri May 1 10:15:52 2020 From: nguyensmai at gmail.com (Nguyen, Sao Mai) Date: Fri, 1 May 2020 16:15:52 +0200 Subject: Connectionists: [jobs] Fully funded Ph.D. position at Ecole Polytechnique (LIX) and IP Paris In-Reply-To: References: Message-ID: We are looking for a candidate for a fully funded Ph.D. position to work at the intersection of Robotics and Formal Methods. Continuously Learning Complex Tasks via Symbolic Analysis (CoLeSlAw) -------------------------------------------------------------------------------- Fully autonomous robots have the potential to impact real-life applications, like assisting elderly people. Autonomous robots must deal with uncertain and continuously changing environments, where it is not possible to program the robot tasks. Instead, the robot must continuously learn new tasks. The robot should further learn how to perform more complex tasks combining simpler ones (i.e., a task hierarchy). This problem is called lifelong learning of hierarchical tasks. The existing learning algorithms for hierarchical tasks are limited in that: a) they require the robot to execute a large number of real actions to sample the continuous state space of observations, hence requiring a lot of time; b) they cannot deal with subspaces without continuous interpolation, as it is the case for a hierarchy of tasks. The goal of the Ph.D. project is to explore the use of set-based and symbolic reasoning for the continuous space to tackle the above challenges (e.g., reducing the number of samples required to learn a hierarchy of tasks and allow for more effective planning of the robot tasks, further handling discontinuities in the task hierarchies). The main outcome of the project will be an algorithmic framework to effectively explore task hierarchies and new reachability algorithms for data-oriented models, such as neural networks. Candidate -------------------------------------------------------------------------------- The ideal candidate will have a Master degree in Computer science and a strong background in at least one topic among learning algorithms, robotics, planning, and formal methods (e.g., abstract interpretation, model checking). Deadline -------------------------------------------------------------------------------- The formal deadline to apply is May 14th 2020. Work environment -------------------------------------------------------------------------------- The Ph.D. will be carried out in the Laboratoire d?informatique de E?cole Polytechnique (LIX), E?cole Polytechnique, and in the Computer Science and Systems Engineering Laboratory (U2IS http://u2is.ensta-paris.fr), ENSTA Paris, ENSTA Paris, under the supervision of Sergio Mover and Sylvie Putot from LIX, and Sao Mai Nguyen and Alexandre Chaputot from U2IS. Doctoral School -------------------------------------------------------------------------------- E?cole Polytechnique and ENSTA Paris are part of the Institut Polytechnique de Paris (IPP) and the Ph.D. will be at in the IP Paris doctoral school ( https://www.ip-paris.fr/en/home-en/education/phd-programs/ip-paris-doctoral-school/ ). Contacts and application -------------------------------------------------------------------------------- To apply, please send a CV, a motivation letter and a transcript. For more information and to get the information to apply contact Sergio Mover and Sao Mai Nguyen. Sergio Mover, Cosynus Team, LIX and Ecole Polytechnique, sergio.mover polytechnique.edu and Nguyen Sao Mai nguyensmai at gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr | Youtube | Twitter | ResearchGate | Hal -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniel.polani at gmail.com Fri May 1 18:14:39 2020 From: daniel.polani at gmail.com (Daniel Polani) Date: Fri, 1 May 2020 23:14:39 +0100 Subject: Connectionists: PhD Studentships in Information, Complex Systems and the Organization of Cognition Message-ID: ///////////////////////////////////////////////////////////////////// PhD Studentships INFORMATION, COMPLEX SYSTEMS AND THE ORGANIZATION OF COGNITION: PRINCIPLED ROUTES TOWARDS ARTIFICIAL LIFE, ARTIFICIAL INTELLIGENCE AND ROBOTICS Adaptive Systems Research Group Centre for Computer Science and Informatics Research School of Engineering and Computer Science University of Hertfordshire, UK Contact: Daniel Polani (d.polani at herts.ac.uk) ///////////////////////////////////////////////////////////////////// Application deadline 1 June 2020 Bursary GBP 15,285 p.a. ///////////////////////////////////////////////////////////////////// The Research Increasingly, information (in the sense of Shannon) is identified as a fundamental resource underlying all processes involved in decision-making, all the way from the level of molecular (e.g. protein) dynamics to the brain of higher animals, but also in computational systems implementing Artificial Intelligence. All these increasingly complex systems are driven by the need to organize information in the appropriate way. We investigate the questions that emerge from this observation and ask what constitutes the fundamental principles according to which these organizational processes take place, how more complex systems and capabilities can emerge and self-organize seemingly spontaneously from simpler ones through informational principles, and how this can be utilized to ultimately create more intelligent and capable AI and robotic systems. We invite applications for our PhD studentships to investigate these topics. You are interested in finding out the fundamentals behind the of emergence and self-organization of cognition and their applications to questions of Artificial Intelligence and Robotics in a principled way, typically based on information theory. This includes, but is not limited to, modeling how to arrange the cognitive structure; how to enable robust decision making and flexible control; how to discover and reflect the inherent structure of the world in your agent?s "brain" understanding the role of embodiment; how to create intrinsic and "altruistic" motivations and much more. There is the opportunity for you to expand these questions into concrete robotics applications, including how to develop a more natural, robust and powerful robotic control algorithm, or alternatively towards biological and/or Artificial Life models, for instance contributing to better understanding the basis for the extraordinary success of organisms in a highly complex and seemingly unstructured environment. Here, there is also the opportunity to correspondingly explore fundamental questions of origin of life and cognition from first principles. You should have a very strong first degree; a very keen interest and motivation in delving into and contributing to a fresh, stimulating and fast-moving research area. An outstanding background in one of the following or a related field is essential: Computer Science, Computational/Cognitive Robotics, Physics, Mathematics, Statistics or any other relevant discipline with a considerable quantitative/computational component. In particular, you should demonstrate excellent programming skills in at least one major computer language. A mathematical/numerical background would be highly desirable. Knowledge in at least one of the following fields would be a strong plus: probability theory, information theory, differential geometry, control, dynamical systems, data modelling/neural network techniques. The envisaged research will take place in the vibrant and enterprising environment of the SEPIA (Sensor Evolution, Processing, Information and Actuation) subunit of the Adaptive Systems Research Group in the School of Computer Science at the University of Hertfordshire; for interested candidates, there will also be the special opportunity to collaborate with the School?s successful humanoid robot RoboCup team, the Bold Hearts, and with additional actively funded projects. ///////////////////////////////////////////////////////////////////// Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 50% of the research submitted being rated as internationally excellent or world leading. The University of Hertfordshire provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Hatfield is close to Central London (less than 25 minutes by direct train to Kings Cross), with convenient access to Stansted, Luton and Heathrow airports, and, via the nearby historic town of St. Albans, also to Gatwick airport. For informal inquiries and more information about the topics, please contact: Prof. Dr. Daniel Polani Email: d.polani at herts.ac.uk ///////////////////////////////////////////////////////////////////// Application forms and submission instructions 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 Please note: You must download the application form to your computer before you complete it. If you complete the form in the browser window, the information you have entered may be lost when the form is saved. The application form 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 marcin at amu.edu.pl Sun May 3 07:27:27 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 3 May 2020 13:27:27 +0200 Subject: Connectionists: CALL FOR PAPERS -- 11th Workshop on Scalable Computing (WSC'20) -- please read the COVID-19 note In-Reply-To: <2fcb181e-1a5a-829e-676e-413a01eae97a@ibspan.waw.pl> References: <2fcb181e-1a5a-829e-676e-413a01eae97a@ibspan.waw.pl> Message-ID: <9a698e23-6250-d7e3-eedc-6d998b2c6016@amu.edu.pl> CALL FOR PAPERS ************************************************************************ Technical Section: 11th Workshop on Scalable Computing (WSC'20) https://www.fedcsis.org/2020/wsc Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020), Track 2 Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ https://www.fedcsis.org/2020/css ************************************************************************ COVID-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. Nevertheless, we would like to stress that in case of inability to be physically present at the FedCSIS Conference, due to travel restrictions, the FedCSIS paper authors will be allowed to remotely present their papers. FedCSIS organizers ************************************************************************ The world of large-scale computing continuously evolves. The most recent addition to the mix comes from numerous data streams that materialize from exploding number of cheap sensors installed ?everywhere?, on the one hand, and ability to capture and study events with systematically increasing granularity, on the other. To address the needs for scaling computational and storage infrastructures, concepts like: edge, fog and dew computing emerged. Novel issues in involved in ?pushing computing away from the center? did not replace open questions that existed in the context of grid and cloud computing. Rather, they added new dimensions of complexity and resulted in the need of addressing scalability across more and more complex ecosystems consisting of individual sensors and micro-computers (e.g. Raspberry PI based systems) as well as supercomputers available within the Cloud (e.g. Cray computers facilitated within the MS Azure Cloud). Addressing research questions that arise in individual ?parts? as well as across the ecosystem viewed from a holistic perspective, with scalability as the main focus is the goal of the Workshop on Scalable Computing. In this context, the following topics are of special interest (however, this list is not exhaustive). Covered TOPICS include (but are not limited to): - General issues in scalable computing - Algorithms and programming models for large-scale applications, simulations and systems - Large-scale symbolic, numeric, data-intensive, graph-oriented, distributed computations - Fault-tolerant and consensus techniques for large-scale computing - Resilient large-scale computing - Data models for large-scale applications, simulations and systems - Large-scale distributed databases - Load-balancing / intelligent resource management in large-scale applications, simulations and systems - Performance analysis, evaluation, optimization and prediction - Scientific workflow scheduling - Data visualization - On-demand computing - Virtualization supporting computations - Volunteer computing - Scaling applications from small-scale to exa-scale (and back) - Big data real-time computing / analytics - Economic, business and ROI models for large-scale applications - Emerging technologies for scalable computing - Cloud / Fog / Dew computing architectures, models, algorithms and applications - High performance computing in Cloud / Fog / Dew - Green computing in Cloud / Fog / Dew - Performance, capacity management and monitoring of Cloud / Fog / Dew configuration - Cloud / Fog / Dew application scalability and availability - Big Data cloud services - Architectures for large-scale computations (GPUs, accelerators, quantum systems, federated systems, etc.) - Self* and autonomous computational / storage systems PAPER SUBMISSION: * Authors should submit draft papers (as Postscript, PDF or MSWord file). * The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). * Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. * Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. * Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. * Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. * Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar. * Organizers reserve right to move accepted papers between FedCSIS events. * Extended versions of selected papers presented during the conference will be published as Special Issue(s) of: --- Scalable Computing; Practice and Experience journal --- Journal of Network and Computer Applications (Elsevier, IF = 2.229) --- other journal(s) to be announced later. * For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions 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: September 6 - 9, 2020 PROGRAM COMMITTEE: Barbosa, Jorge, University of Porto, Portugal Camacho, David, Universidad Autonoma de Madrid, Spain Carretero, Jesus D'Ambra, Pasqua, IAC-CNR, Italy Durillo, Juan, Leibniz Supercomputer of the Bavarian Academy of Sciences and Humanities, Germany Garcia Valdez, Mario Gordon, Minor, Software development consultant, United States Gravvanis, George, Democritus University of Thrace, Greece Grosu, Daniel, Wayne State University, United States Holmes, Violeta, The University of Huddersfield, United Kingdom Kalinov, Alexey, Cadence Design Systems, Russia Kecskemeti, Gabor, Liverpool John Moores University, United Kingdom Kitowski, Jacek, AGH University of Science and Technology, Department of Computer Science, Poland Knepper, Richard, Indiana University, United States Lang, Tran Van, Vietnam Academy of Science and Technology, Vietnam Lastovetsky, Alexey, University College Dublin, Ireland Margaritis, Konstantinos G., University of Macedonia, Greece Nosovic, Novica, Faculty of Electrical Engineering, University of Sarajevo, Bosnia and Herzegovina Paw?owski, Wies?aw, University of Gda?sk, Poland Prodan, Radu, University of Klagenfurt, Austria Schikuta, Erich, University of Vienna, Austria Schreiner, Wolfgang, Johannes Kepler University Linz, Austria Shen, Hong, University of Adelaide, Australia Telegin, Pavel, JSCC RAS, Russia Tudruj, Marek, Inst. of Comp. Science Polish Academy of Sciences/Polish-Japanese Institute of Information Technology, Poland Vazhenin, Alexander, University of Aizu, Japan Wei, Wei, School of Computer science and engineering, Xi'an University of Technology, China Wyrzykowski, Roman, Czestochowa University of Technology, Poland Zavoral, Filip, Charles University, Czech Republic TECHNICAL SESSION CHAIRS: Ganzha, Maria, Warsaw University of Technology, Poland Gusev, Marjan, University Sts Cyril and Methodius, Macedonia Paprzycki, Marcin, Systems Research Institute Polish Academy of Sciences, Poland Petcu, Dana, West University of Timisoara, Romania Ristov, Sashko, University of Innsbruck, Austria -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From hans.ekkehard.plesser at nmbu.no Mon May 4 04:49:09 2020 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Mon, 4 May 2020 08:49:09 +0000 Subject: Connectionists: =?utf-8?q?NEST_Conference_2020_goes_virtual_?= =?utf-8?q?=E2=80=94_Call_for_Contributions?= In-Reply-To: <6a422a20-3b4e-06ba-1b12-febe0be3f925@fz-juelich.de> References: <6a422a20-3b4e-06ba-1b12-febe0be3f925@fz-juelich.de> Message-ID: <40BF2EAA-B364-4E0A-85CD-16A5CD52BDB5@nmbu.no> Dear all, The NEST Initiative is excited to invite everyone interested in Neural Simulation Technology and the NEST Simulator to the NEST Conference 2020. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will take place as a virtual conference on Monday/Tuesday 29/30 June 2020. We are now inviting contributions to the conference, including plenary talks, "posters" and breakout sessions on specific topics. Important dates 01 June 2020 ? Deadline for submission of contributions 08 June 2020 ? Notification of acceptance 10 June 2020 ? Deadline for NEST Initiative Membership applications (registration is free for members in 2020) 22 June 2020 ? Registration deadline 29 June 2020 ? NEST Conference 2020 starts For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser, Susanne Kunkel, Dennis Terhorst, Anne Elfgen & many more N?r du skickar e-post till Karolinska Institutet (KI) inneb?r detta att KI kommer att behandla dina personuppgifter. H?r finns information om hur KI behandlar personuppgifter. Sending email to Karolinska Institutet (KI) will result in KI processing your personal data. You can read more about KI?s processing of personal data here. _______________________________________________ Neuroinfo mailing list Neuroinfo at incf.org https://lists.incf.org/cgi-bin/mailman/listinfo/neuroinfo -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon May 4 06:39:01 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Mon, 4 May 2020 13:39:01 +0300 Subject: Connectionists: CVML live Web lectures 9th May 2020: 1) Structure from Motion 2) 2D convolution and correlation algorithms References: <006701d62171$cc34ed10$649ec730$@csd.auth.gr> Message-ID: <02aa01d62200$3a2adbc0$ae809340$@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 9th May 2020: 1) Structure from Motion 2) 2D convolution and correlation algorithms Date/time: a) Saturday 11:00-12:30 EET (17:00-18:30 Beijing time) for audience in Asia and will be repeated 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/ >From this week onwards, asynchronous access to past CVML live Web lecture material (video, pdf/ppt) will be allowed. Separate email will be sent for this option. Lectures abstract 1) Structure from Motion Summary: Image-based 3D Shape Reconstruction, Stereo and multiview imaging principles. Feature extraction and matching. Triangulation and Bundle Adjustment. Mathematics of structure from motion. UAV image capturing. Optimal UAV flight trajectory/flight height/viewing angle/image overlap ratio. Pre/post-processing for 3D reconstruction: flat surface smoothing/mesh modification/isolated point removal. Structure from motion applications: 3D face reconstruction from uncalibrated video. 3D landscape reconstruction. 3D building/monument reconstruction and modeling, 2) 2D convolution and correlation algorithms Summary: 2D convolutions play an extremely important role in machine learning, as they form the first layers of Convolutional Neural Networks (CNNs). They are also very important for computer vision (template matching through correlation, correlation trackers) and in image processing (image filtering/denoising/restoration). 3D convolutions are very important for machine learning (video analysis through CNNs) and for video filtering/denoising/restoration. 1D convolutions are extensively used in digital signal processing (filtering/denoising) and analysis (also through CNNs). Therefore, 2D convolution and correlation algorithms are very important both for machine learning and for signal/image/video processing and analysis. As their computational complexity is of the order O(N^4), their fast execution is a must. This lecture will overview 1D/2D linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(Nlog2N), O(N^2log2N) for 1D and 2D convolutions respectively. Parallel block-based 2D convolution/calculation methods will be overviewed. The use of 2D convolutions in Convolutional Neural Networks will be presented. 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 (delivered 2nd May 2020) Stereo and Multiview imaging (delivered 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 lpandolfo at uniss.it Mon May 4 07:45:11 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Mon, 4 May 2020 13:45:11 +0200 Subject: Connectionists: [CfP - Extended Deadline] ICLP2020 - The 36th International Conference on Logic Programming Message-ID: ======================================================== *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 * ======================================================== *IMPORTANT HIGHLIGHTS: * *Conference online:* 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. *Deadlines Extension:* Due to the difficult period we are all experiencing and the profound impact that this has been having on our lives and daily work we have decided to extend the submission deadline for ICLP 2020. New schedule of important dates is highlighted below: *Main Conference and Applications Track* Abstract registration (regular papers)*: May 15, 2020* Paper submission (regular paper): *May 22, 2020 * Notification to authors (regular paper): *June 26, 2020 * Paper Submission (short papers): *June 30, 2020 * Revision submission (TPLP papers): *July 13, 2020 * Final notifications (TPLP papers): *July 24, 2020 * Camera-ready copy due: *July 29, 2020 * *Research Challenges Track* Abstract registration and paper submission: *June 30, 2020 * Final notifications: *July 24, 2020* Camera-ready copy due: *July 29, 2020* *Sister Conferences and Journal Presentation Track* Abstract registration and paper submission: *June 30, 2020 * Final notifications: *July 24, 2020* Camera-ready copy due: *July 29, 2020* *Invited Speakers:* Esra Erdem - Sabanci University, Turkey Joao Marquez-Silva - ANITI, University of Toulouse, France Luc De Readt - KU Leuven, Belgium Francesca Rossi - T.J. Watson IBM Research Lab, USA ======================================================== *The Conference* The 36th International Conference on Logic Programming (ICLP 2020) will take place from the 18th September 2020 in Rende (CS), Italy. 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. -- Laura Pandolfo, Ph.D. Universit? degli Studi di Sassari IDEA lab - http://idea.uniss.it/ email: laura.pandolfo at uniss.it -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicolas.rougier at inria.fr Mon May 4 09:39:31 2020 From: nicolas.rougier at inria.fr (Nicolas P. Rougier) Date: Mon, 04 May 2020 15:39:31 +0200 Subject: Connectionists: PhD position in theoretical and experimental neuroscience Message-ID: PhD position in theoretical and experimental neuroscience Application deadline: 30/05/2020 What: PhD position in theoretical and experimental neuroscience Where: Bordeaux, France When: September 2020 (3 years duration) Who: Nicolas Rougier (Inria) & Arthur Leblois (CNRS) A PhD position is available at the Inria Bordeaux Sud-Ouest center and the Institute of Neurodegenerative Disease in Bordeaux, France. Candidate profile ================= The future PhD candidate must have a ?strong experience at both the theoretical and experimental level?. In particular, the following qualities and skills will be highly valued, if not required: * Solid bases in maths and/or physics; * Previous experience in experimental neuroscience; * Programming experience (Python or similar coding language); * Experience in machine learning or data mining is a plus; * Independence and ability to manage a project; * Good English reading/speaking skills. How to apply ============ Please send your application (CV, letter of motivation, and the names and email addresses of one or two persons who can provide recommendation letters) to Dr. Nicolas Rougier (nicolas.rougier at inria.fr) and Arthur Leblois (arthur.leblois at univ-bordeaux.fr) before the 30th of May 2020. Proposed research ================= Temporally precise movement patterns underlie many motor skills and innate actions, yet the origin of temporal control in motor behaviors remains unclear. While cortical motor regions traditionally have been viewed as encoding features of motor gestures, these models do not address how sequences of motor gestures are produced or appropriately timed. Recently, a number of studies have suggested that, beyond just representing features of motor output, motor regions may have intrinsic oscillatory dynamics or sequential dynamics to act as their own pattern generators. However, in the order of milliseconds, the neural and anatomical correlates of time processing are still largely unknown because the dominant model, which is based on internal clock fails at giving account on experimental data. Understanding the neural dynamics underlying the acquisition and performance of complex sensorimotor tasks has been hindered by the complexity of the underlying brain networks in common animal models used in neuroscience (e.g. rodents or primates). In particular, the complex interactions between cortical areas (primary and secondary motor cortex in rodents, motor, premotor and supplementary motor areas in primates) related to many different sensorimotor associations and motor skills is daunting. Conversely, in birds, the sensorimotor skill of song production and its learning has a dedicated set of interconnected brain nuclei known as the ?song system?, making them an outstanding model to study the neural mechanisms of vocal learning and more generally, of sensorimotor learning. Songbirds indeed rely on learned vocalizations to communicate during courtship or aggressive behaviours. Just as speech learning in humans, vocal learning in young birds requires the coordination of vocal muscles to reproduce previously experienced adult vocalizations. Song learning is also limited to a critical period during development and heavily relies on auditory feedback. The proposed research lies at the interface of neurophysiology, cognitive science, applied mathematics, and theoretical physics. The concepts and methods that will be used will draw on single neuron physiology, electrophysiological studies in behaving animals, statistical mechanics, dynamical system theory, and stochastic differential equations. To this end, we will combine a theoretical approach (development of a mathematical model of the timing system) and an experimental one (chronic neural recording in awake birds, behavioural manipulations). Therefore, a collaboration with a team of physiologists at the Institute of Neurodegenerative Diseases, and in particular with Arthur Leblois who has a long-established expertise in the neural mechanisms underlying vocal learning in songbirds. The model will be designed under the supervision of Nicolas Rougier who has extensive experience in computational modelling. Predictions of the model will then be tested experimentally by measuring neuronal activity in the brain areas controlling song timing in songbirds under the supervision of Arthur Leblois. Chronic electrophysiological recordings in singing birds are routinely performed in the lab of Arthur Leblois, and will be implemented in a protocol allowing the induction of plasticity in the duration of song syllables in young adult birds over short periods of time. From dominik.endres at uni-marburg.de Mon May 4 12:01:45 2020 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Mon, 04 May 2020 18:01:45 +0200 Subject: Connectionists: PhD Position in Sensorimotor Control and Perception Message-ID: <2760906.q62phgdGCM@pc04174> The research group for Theoretical Cognitive Science of Prof. Dr. Dominik Endres at the Department of Psychology, Philipps Universit?t Marburg, Germany is currently accepting applications for a *** Research Assistant(PhD student) **** We expect the successful applicant to independently develop, implement and execute of virtual reality experiments for the validation of (deep) learning and Bayesian models of human behavior and perception and/or to develop, implement and analyze these models. Contributions to scientific publications and regular and active participation in the CRC?s scientific program are required. More details about the project's research directions can be found in these publications: https://dl.acm.org/doi/10.1145/3355401 https://jov.arvojournals.org/article.aspx?articleid=2678770 https://ieeexplore.ieee.org/document/7829376 The position is offered for a period of 36 month,assuming the candidate has not previously spent time as a PhD student elsewhere. The starting date is as soon as possible.The position is part-time (65 %of regular working hours) with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E13, 65 %). The position is a part of the project C6(sensorimotor primitives) of the DFG-funded *** Collaborative Research Center CRC/TRR 135 ?Cardinal Mechanisms of Perception? *** More Information on the CRC can be found at http://www.allpsych.uni-giessen.de/sfb/index_en.html. Formal requirements are a qualified degree in psychology, cognitive science, computer science, engineering or physics (Master, Diploma, or comparable) as well as demonstrable programming experience in a high- level language, e.g. Python. We expect you to be interested in the topic of the project (to be documented in a motivation letter (1 page max), in which you may refer to prior experiences, for instance, a thematically pertinent thesis, student research assistant positions, etc.), developing virtual-reality scenarios and technology for research purposes as well as quantitative modeling. Advantageous qualifications are prior exposure to machine learning, Bayesian statistics, experience with human behavioral experiments as well as willingness to acquire basic German language skills. The full job advert can be found at https://www.uni-marburg.de/de/universitaet/administration/verwaltung/ dezernat2/personalabteilung/bewerber/stellen/wissenschaftliche-stellen/ fb04-0017-wmz-150520-englisch.pdf Please send your application (including a project-specific motivation letter in English, copies of relevant diplomas, curriculum vitae and contact details of two potential referees) mentioning reference no. fb04-0013-wmz-2020 only as a *single* PDF file to dominik.endres at uni-marburg.de before May 15, 2020. Feel free to contact Prof. Dr. Dominik Endres, mailto:dominik.endres at uni-marburg.de for more information. -- Prof. Dr. Dominik Endres AE Theoretische Neurowissenschaft Allgemeine und Biologische Psychologie FB Psychologie, Gutenbergstr 18, 35032 Marburg, Germany Tel. +49-(0)6421-28-23818 From mihaela.rozman at tuwien.ac.at Mon May 4 10:18:19 2020 From: mihaela.rozman at tuwien.ac.at (Rozman, Mihaela) Date: Mon, 4 May 2020 14:18:19 +0000 Subject: Connectionists: Final call for contributions for the virtual WiL 2020 (4th Women in Logic Worskhop collocated with Petri Nets, IJCAR etc) In-Reply-To: <1588601836912.34975@tuwien.ac.at> References: <35034549-A2C0-4B94-BD65-326F62D92519@informatik.rwth-aachen.de>, <1588600944041.78550@tuwien.ac.at>, <1588600989622.30446@tuwien.ac.at>, <1588601171806.43174@tuwien.ac.at>, <1588601210994.96841@tuwien.ac.at>, <1588601378508.85512@tuwien.ac.at>, <1588601419321.96210@tuwien.ac.at>, <1588601441159.7150@tuwien.ac.at>, <1588601787395.43014@tuwien.ac.at>, <1588601836912.34975@tuwien.ac.at> Message-ID: <1588601899787.45243@tuwien.ac.at> (Deadline approaching, last chance to submit a contribution.) (Please consider sharing this piece of information among the nodes in your network.) (Apologies for cross-posting.) ------------------------------------------------------------------------------------------------ Are you a woman working in logic? Are you planning to participate at FSCD-IJCAR 2020? Please join us at WiL, give a talk, and enjoy a day with Women in Logic! Please submit an abstract of 1-2 pages by May 10, 2020 via EasyChair. This will help us provide an interesting program, with only a light-weight selection procedure. More information below: ------------------------------------------------------------------------------------------------ Call for Contributions WiL 2020: 4th Women in Logic Workshop virtual 30 June 2020 https://sites.google.com/g.uporto.pt/wil2020 ------------------------------------------------------------------------------------------------ Women in Logic 2020 is part of "Paris Nord Summer of LoVe 2020" (https://lipn.univ-paris13.fr/summer-of-love-2020/), a joint event on LOgic and VErification, made of Petri Nets 2020, IJCAR 2020, FSCD 2020, and over 20 satellite events. The Women in Logic workshop (WiL) provides an opportunity to increase awareness of the valuable contributions made by women in the area of logic in computer science. Its main purpose is to promote the excellent research done by women, with the ultimate goal of increasing their visibility and representation in the community. Our aim is to: - provide a platform for female researchers to share their work and achievements; - increase the feelings of community and belonging, especially among junior faculty, post-docs and students through positive interactions with peers and more established faculty; - establish new connections and collaborations; - foster a welcoming culture of mutual support and growth within the logic research community. We believe these aspects will benefit women working in logic and computer science, particularly early-career researchers. Previous versions of Women in Logic (Reykjavik, Iceland 2017, Oxford, UK 2018 and Vancouver, Canada 2019) were very successful in showcasing women's work and as catalysts for recognition of the need for change in the community. Topics of interest include but are not limited to: automata theory, automated deduction, categorical models and logics, concurrency and distributed computation, constraint programming, constructive mathematics, database theory, decision procedures, description logics, domain theory, finite model theory, formal aspects of program analysis, formal methods, foundations of computability, games and logic, higher-order logic, lambda and combinatory calculi, linear logic, logic in artificial intelligence, logic programming, logical aspects of bioinformatics, logical aspects of computational complexity, logical aspects of quantum computation, logical frameworks, logics of programs, modal and temporal logics, model checking, probabilistic systems, process calculi, programming language semantics, proof theory, real-time systems, reasoning about security and privacy, rewriting, type systems and type theory, and verification. INVITED SPEAKERS * Maribel Fern?ndez (Kings College London) * Alexandra Silva (University College London) IMPORTANT DATES Abstract submission deadline: May 10, 2020 Notification: June 2, 2020 SUBMISSIONS Abstracts should be written in English (1-2 pages), and prepared using the Easychair style (https://easychair.org/publications/for_authors). The abstracts should be uploaded to the WiL 2020 Easychair page as a PDF file (https://easychair.org/conferences/?conf=wil2020) before the submission deadline of May 10, 2020, anywhere on Earth. ORGANIZING AND PROGRAM COMMITTEE * Sandra Alves (Co-chair, University of Porto) * Amy Felty (University of Ottawa) * Delia Kesner (Universit? de Paris) * Sandra Kiefer (Co-chair, RWTH Aachen University) * Koko Muroya (RIMS Kyoto University) * Daniele Nantes (University of Bras?lia) * Valeria de Paiva (Samsung Research America) * Brigitte Pientka (McGill University) * Sonja Smets (ILLC - University of Amsterdam) * Ana Sokolova (Co-chair, University of Salzburg) -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.panzeri at gmail.com Mon May 4 10:38:55 2020 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Mon, 4 May 2020 16:38:55 +0200 Subject: Connectionists: Fully funded 4-year PhD Position at IIT -Computational approaches to study the neural code Message-ID: Fully funded 4-year PhD Position at IIT - Computational approaches to study the neural code We are seeking candidates for a fully funded 4-year PhD position at the Italian Institute of Technology?s in the lab directed by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri). We are particularly interested in candidates that wish to work in a project in collaboration with the experimental neurophysiology laboratory of Giuliano Iurilli (https://www.iit.it/people/giuliano-iurilli). We are interested in using mathematical models of neural networks and information theoretic and machine learning analytical tools to understand the principles of neural coding by using as a model the olfactory system. For recent representative publications of Panzeri and Iurilli on relevant topics please see: Chong et al, in press, preprint available at https://www.biorxiv.org/content/10.1101/841916v1 van Vugt B, et al, (2018) Science: DOI: 10.1126/science.aar7186 Runyan C. A., et al (2017) Nature: 548: 92-96 Panzeri, S, et al (2017) Neuron 93: 491-507 Iurilli, G. and Datta, R.S. (2017) Neuron 93 , 1180-1197 Safaai, H. et al (2015) Proc. Natl. Acad. Sci. USA 112(41): 12834?12839 The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is needed. However, a keen interest in understanding the brain is essential. The deadline for the formal application is set to May 27th 2019, but interested candidates are invited me to contact us informally by email ( stefano.panzeri at iit.it and Giuliano.urilli at iit.it ) as soon as possible, and *no later than May 11th 2020,* by attaching their CV and briefly explaining their interest in this position, to initiate discussion about potential PhD projects of interest. Yours truly, Stefano Panzeri -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Mon May 4 13:12:39 2020 From: gangluo at cs.wisc.edu (GANG LUO) Date: Mon, 4 May 2020 17:12:39 +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 nicholas.cummins at ieee.org Mon May 4 14:14:03 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Mon, 4 May 2020 20:14:03 +0200 Subject: Connectionists: ICMI 2020 Doctoral Consortium - 1st Call for Contributions Message-ID: **** ICMI 2020 Doctoral Consortium - 1st Call for Contributions **** The goal of the ICMI Doctoral Consortium (DC) is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in designing and developing multimodal interfaces and interaction. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of designing and developing multimodal interfaces. We expect to provide economic support to most attendees that will cover part of their costs (travel, registration, meals etc.). = Who should apply? = While we encourage applications from students at any stage of doctoral training, the doctoral consortium will benefit most the students who are in the process of forming or developing their doctoral research. These students will have passed their qualifiers or have completed the majority of their coursework, will be planning or developing their dissertation research, and will not be very close to completing their dissertation research. Students from any PhD granting institution whose research falls within designing and developing multimodal interfaces and interaction are encouraged to apply. = Why should you attend? = The DC provides an opportunity to build a social network that includes the cohort of DC students, senior students, recent graduates, and senior mentors. Not only is this an opportunity to get feedback on research directions, it is also an opportunity to learn more about the process and to understand what comes next. We aim to connect you with a mentor who will give specific feedback on your research and whom you can talk to during the lunch. We specifically aim to create an informal setting where students feel supported in their professional development. = Agenda = - 09:00 - 09:30: Invited talk - 09:30 - 11:00: DC talks 1 - 11:00 - 11:30: Coffee break - 11:30 - 13:00: DC talks 2 - 13:00 - 14:30: Lunch mentoring session - 14:30 - 15:15: Panel discussion (senior PhD students and recent graduates) - 15:15 - 15:45: Coffee break - 15:45 - 17:00: Table discussions (small group discussions about topics of interest) = Submission Guidelines = Graduate students pursuing a PhD degree in a field related to designing multimodal interfaces should submit the following materials: 1. Extended Abstract: A four-page description of your PhD research plan and progress in the ACM SigConf format. Your extended abstract should follow the same outline, details, and format of the ICMI short papers. The submissions will not be anonymous. In particular, it should cover: - The key research questions and motivation of your research; - Background and related work that informs your research; - A statement of hypotheses or a description of the scope of the technical problem; - Your research plan, outlining stages of system development or series of studies; - The research approach and methodology; - Your results to date (if any) and a description of remaining work; - A statement of research contributions to date (if any) and expected contributions of your PhD work; 2. Advisor Letter: A one-page letter of nomination from the student's PhD advisor. This letter is not a letter of support. Instead, it should focus on the student's PhD plan and how the Doctoral Consortium event might contribute to the student's PhD training and research. 3. CV: A two-page curriculum vitae of the student. All materials should be prepared in PDF format and submitted through the ICMI submission system. = Review Process = The Doctoral Consortium will follow a review process in which submissions will be evaluated by a number of factors including (1) the quality of the submission, (2) the expected benefits of the consortium for the student's PhD research, and (3) the student's contribution to the diversity of topics, backgrounds, and institutions, in order of importance. More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Finally, we hope to achieve a diversity of research topics, disciplinary backgrounds, methodological approaches, and home institutions in this year's Doctoral Consortium cohort. We do not expect more than two students to be invited from each institution to represent a diverse sample. Women and other underrepresented groups are especially encouraged to apply. = Financial Support = The conference is pleased to offer partial financial support for doctoral students participating in the Doctoral Consortium and attending the conference. Only students who apply and are accepted for participation in the Doctoral Consortium can be considered for financial support. The number and size of the offers of financial support are contingent upon the number of invited student participants. = Attendance = All authors of accepted submissions are expected to attend the Doctoral Consortium and the main conference poster session. The attendees will present their PhD work as a short talk at the Consortium and as a poster at the conference poster session. A detailed program for the Consortium and the participation guidelines for the poster session will be available after the camera-ready deadline. = Process = ? Submission format: Four-page extended abstract using the ACM format ( https://www.acm.org/publications/proceedings-template#aL2) ? Submission system: https://new.precisionconference.com/user/login?society=sigchi/ ? Selection process: Peer-Reviewed ? Presentation format: Talk on consortium day and participation in the conference poster session ? Proceedings: Included in conference proceedings and ACM Digital Library ? Doctoral Consortium Co-chairs: Juliet Haarman (University of Twente) Emily Mower Provost (University of Michigan) and Catharine Oertel (TU Delft). = Important Dates = *Submission deadline: July 5, 2020 (23:59PM, PST)* Notifications: August 10, 2020 Camera-ready: September 2nd, 2020 Doctoral Consortium date: October 25, 2020 = Questions? = For more information and updates on the ICMI 2020 Doctoral Consortium, visit the Doctoral Consortium page of the main conference website ( http://icmi.acm.org/2020/index.php?id=cfdc) For further questions, contact the Doctoral Consortium co-chairs: - Emily Mower Provost (emilykmp at umich.edu) - Catharine Oertel (C.R.M.M.Oertel at tudelft.nl) - Juliet Haarman (j.a.m.haarman at utwente.nl) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Mon May 4 15:47:57 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 4 May 2020 21:47:57 +0200 Subject: Connectionists: CfP: #ACAIN2020, the 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 28 - October 2, 2020, The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK Message-ID: ________________________________________________________________ Call for Participation & Call for Papers (apologies for multiple copies) ________________________________________________________________ NEWS! The ACAIN 2020 Symposium Proceedings will be published by Springer LNCS/LNAI! https://acain2020.artificial-intelligence-sas.org/category/news/ The 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience September 28 - October 2, 2020 The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK ?Marriage of Mind and Machine: Bringing together artificial intelligence and neuroscience promises to yield benefits for both fields?, Nature, Vol. 571, 2019. W: https://acain2020.artificial-intelligence-sas.org E: acain at artificial-intelligence-sas.org FB: https://www.facebook.com/events/669587717185083/ EARLY REGISTRATION DEADLINE: 31 May 2020 https://acain2020.artificial-intelligence-sas.org/registration/ PAPER SUBMISSION DEADLINE: 31 May 2020 https://acain2020.artificial-intelligence-sas.org/the-symposium/ SCOPE & MOTIVATION: The ACAIN 2020 is aimed at AI experts, neuroscientists and both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2020 will be a special opportunity to hear about cutting-edge research by leading scientists in #AI and #Neuroscience. The two days of keynote talks and oral presentations (the ACAIN Symposium, 1-2 October,2020) will be preceded by lectures of leading scientists (the ACAIN Course, 28-30 September,2020) for students and newcomers to this interdisciplinary field. Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on a more efficient synergy and cooperation between the two research communities. These are the goals of the International Course and Symposium ? ACAIN 2020, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2020 will be a special opportunity to hear about cutting-edge research by leading scientists in both fields. The two days of keynote talks and oral presentations (the Symposium) will be preceded by two days of lectures (the Course) for students and newcomers to this interdisciplinary field. Moreover, ICAN 2020 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The International Symposium Proceedings will be published by Springer. Papers will appear in a volume of the Lecture Notes in Computer Science (LNCS) - Lecture Notes in Artificial Intelligence (LNAI) series. Topics of Interest include, bu are not limited to: Artificial Intelligence Asilomar AI Principles Neuroscience Brain-Behavior Interactions Cognition & Artificial Intelligence Cognitive Computing Cognitive Neuroscience Cognitive Robotics Cognitive Science Computational Cognitive Science Computational Modeling of the Nervous System Computational Neuroscience Creativity & Artificial Intelligence Deep Learning Epistemic Planning Ethics for Autonomous Systems Explainable Artificial Intelligence General Reinforcement Learning Algorithms Generative Adversarial Networks Human-Level Artificial Intelligence Human-Robot Interaction Machine Learning Neural data Analysis Methods Neuroinformatics Neurotechnology Probabilistic Generative Models Probabilistic Programming Reinforcement Learning Robotics Symbolic AI & Deep Learning Systems Neuroscience Theory of Deep Learning COURSE DESCRIPTION: https://acain2020.artificial-intelligence-sas.org/course-description/ LECTURERS (TBA): Each Lecturer will hold three/four lessons on a specific topic. SYMPOSIUM CALL FOR PAPER: https://acain2020.artificial-intelligence-sas.org/the-symposium/ SYMPOSIUM PROGRAM COMMITTEE (partial list, 50+ confirmed members): https://acain2020.artificial-intelligence-sas.org/program-committee/ SPECIAL SESSION: https://acain2020.artificial-intelligence-sas.org/special-sessions/ "Free Will in Artificial Intelligence: What volition neuroscience says about free behaviour and implications for the design of autonomous artificial intelligence agents" Organizer and Chair: Catalin Mitelut, Center for Theoretical Neuroscience, Columbia University, New York, USA cm3746 at columbia.edu The human capacity for free will or volitional (i.e. voluntary) behaviour has intrigued scientists and philosophers for thousands of years. Over the last few decades, neuroscientists have uncovered many neural correlates of voluntary behaviours and identified several decision stages involving specific neuroanatomy and dynamics (Haggard 2008). While a reward-optimized decision framework lies at the core of most fast decisions it is supported by slower time-course motivational systems that identify long-term needs (e.g. feeding, offspring care; Maslow 1943, Kenrick 2010). In the absence of naturally evolved motivational drives, autonomous general artificial agents will require the design of motivational systems that will pose unique challenges to our understanding of free will while offering creative opportunities. This symposium seeks submissions focusing on extending evolutionary biology and the neuroscience of volition towards the design of internally motivated, freely behaving autonomous artificial agents. Paper & Abstract submission deadline: May 31, 2020 (Anywhere on Earth) Paper notification: July 15, 2020 Submission site: https://easychair.org/conferences/?conf=acain2020 DEADLINES: Course Deadlines: Registration Deadline (Course) May 31, 2020 Oral/Poster Presentation Submission (Course): May 31, 2020. Notification of Decision for Oral/Poster Presentation (Course): by June 10, 2020. Symposium Deadlines: Paper Submission (Symposium): May 31, 2020. Notification of Decision for Papers (Symposium): July 15, 2020 Early Registration (Symposium): Until July 15, 2020. Late Registration (Symposium): After July 15, 2020 ORGANIZING COMMITTEE: https://acain2020.artificial-intelligence-sas.org/organization/ VENUE & ACCOMMODATION: The Wordsworth Hotel & Spa (****) Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK P: +44-1539-435592 E: enquiry at thewordsworthhotel.co.uk W: www.thewordsworthhotel.co.uk Please contact Ionela Oanea: Ionela.oanea at thewordsworthhotel.co.uk or Rachael Tigwell: rachael.tigwell at thewordsworthhotel.co.uk You need to book your accommodation at the venue and pay the amount for accommodation, meals directly to the Wordsworth Hotel & SPA. Here the Form for accommodation, all meals (all breakfasts, lunches, dinners): https://acain2020.artificial-intelligence-sas.org/wp-content/uploads/sites/14/2020/02/Grasmere-2020-Accommodation-Form.pdf ACCOMMODATION: https://acain2020.artificial-intelligence-sas.org/accommodation/ REGISTRATION: https://acain2020.artificial-intelligence-sas.org/registration/ See you in Lake District next Autumn! ACAIN 2020 Organizing Committee. News: https://acain2020.artificial-intelligence-sas.org/category/news/ W: https://acain2020.artificial-intelligence-sas.org E: acain at artificial-intelligence-sas.org FB: https://www.facebook.com/events/669587717185083/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mklados at gmail.com Tue May 5 01:22:38 2020 From: mklados at gmail.com (Manousos Klados) Date: Tue, 5 May 2020 08:22:38 +0300 Subject: Connectionists: First CFP: Network Neuroscience: Brain Networks in the field of Affective, Cognitive and Personality Neuroscience. Message-ID: <46766E57-7436-4F2D-B978-3A6FD7CCF08E@gmail.com> Dear Colleagues, We apologize for any cross-posting. We would like to invite you to submit your research article or a comprehensive review for consideration and publication in the Special Issue in ?Network Neuroscience: Brain Networks in the field of Affective, Cognitive and Personality Neuroscience. ? published by Brain Sciences (ISSN 2076-3425 - IF 2.786). This Special Issue will cover state-of-the-art research in network neuroscience focused on computational approaches, as well as on their applications in the fields of affective, cognitive, and personality neuroscience, using both neurophysiological (EEG, MEG, etc.) and neuroimaging (fMRI, DWI, etc.) modalities, with the main aim to expand our current knowledge and produce new theoretical frameworks. Topics may include, but are not limited to, the following: Computational approaches in estimating the functional and/or structural connectivity Graph theoretical models in network neuroscience Multi-scale and multi-graph models of the human brain Brain Networks in the field of the affective/ cognitive/personality neuroscience Brain networks in brain?computer interface-based applications Deadline for submissions 16/11/2020. You can find more info here: https://www.mdpi.com/journal/brainsci/special_issues/Network_Neuroscience_Brain_networks Brain Sciences is an open access, peer-reviewed scientific journal that publishes original articles, critical reviews, research notes, and short communications on neuroscience. The scientific community and the general public can access the content free of charge as soon as it is published. If you have any questions, please don?t hesitate to come in touch with me. Best Regards Manousos Klados ----------------------------------------------- Dr. Manousos Klados Assistant Professor Department of Psychology, The University of Sheffield International Faculty, CITY College Thessaloniki, Greece Address: 24 Proxenou Koromila Street, 54624 Thessaloniki, Greece | Website: www.mklados.com Publications: https://tinyurl.com/w2zpwna ----------------------------------------------- Coordinator of HOPE Project High frequency Oscillation in the study of Pediatric Epilepsy. The project has received funding from the European Union?s Horizon 2020 Marie Curie RISE program under the grant agreement No823598. www.risehope-project.eu ----------------------------------------------- Call for Papers: Network Neuroscience: Brain Networks?in the field of Affective, Cognitive and Personality?Neuroscience.? Deadline 16/11/2020 ----------------------------------------------- Email Disclaimer The content in this e-mail and any attachments is confidential. It is intended solely for the attention and use of the named addressee(s). If you are not the intended recipient, or person responsible for delivering this information to the intended recipient, please notify the sender immediately and delete this e-mail and any attachments from any computer storage or other medium. Unless you are the intended recipient or his/her representative you are not authorized to, and must not, read, copy, distribute, use or retain this message or any part of it. E-mail transmission cannot be guaranteed to be secure or error-free. Any views or opinions presented are solely those of the author and do not necessarily represent those of this organisation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue May 5 05:11:11 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 5 May 2020 11:11:11 +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 h.dibeklioglu at gmail.com Tue May 5 08:27:13 2020 From: h.dibeklioglu at gmail.com (Hamdi Dibeklioglu) Date: Tue, 5 May 2020 15:27:13 +0300 Subject: Connectionists: CFP Deadline Extended - Special Issue on "Behavior and Usability Analysis for Multimodal User Interfaces" in JMUI In-Reply-To: References: Message-ID: Dear colleagues, Paper submission deadline for the Special Issue on "Behavior and Usability Analysis for Multimodal User Interfaces" in JMUI is extended to 24th May, 2020. *******************************CFP: Special Issue on ?Behavior and Usability Analysis for Multimodal User Interfaces? in JMUI******************************* Joint analysis of different modalities of user inputs such as text, speech, voice, facial expressions, gesture, and physiological signals, is an important area of research, and highly beneficial in more natural and effective forms of intelligent human computer interaction. With the recent dramatic advances in machine learning, signal processing, computer vision, and natural language processing, variety of multimodal applications increases every day. Application areas include healthcare, autonomous driving, robotics, sports analytics, neuromarketing, psychological and physiological assessment, surveillance, gaming, and augmented/virtual reality. Consequently, in the era of intelligent systems, reliable interpretation of human behavior and detailed analysis of usability for multimodal user interfaces gain further importance. We solicit contributions to a special issue of the Journal on Multimodal User Interfaces on ?Behavior and Usability Analysis for Multimodal User Interfaces.? For this special issue, we welcome technical and empirical studies that focus on (a) interpretation and modeling of behavioral patterns, and (b) analysis and assessment of usability for multimodal human computer interaction. The topics include, but are not restricted to: - Usability analysis - User-centered interaction - Human activity analysis - Social signal processing - Facial expression and gesture recognition - Face and body tracking - Speech recognition and voice analysis - Text analysis - Psychological and physiological assessment - Multimodal fusion - Spatio-temporal dynamics of actions and behavior - Benchmarking studies on novel databases *SUBMISSIONS:* Submissions must represent original material. Papers are accepted for review with the understanding that the same work has been neither submitted to, nor published in, another journal or conference. All manuscripts will undergo a rigorous review process. Please indicate in your cover letter that you are submitting to the special issue. The authors are required to follow the Submission Guidelines of the Journal on Multimodal User Interfaces: https://www.springer.com/journal/12193/submission-guidelines *IMPORTANT DATES [EXTENDED]: * Deadline for paper submission: 24 May 2020 Notification of review outcome: 19 July 2020 Camera-ready version of accepted papers: 23 August 2020 Estimated publication date: Autumn 2020 *EDITOR IN CHIEF:* Jean-Claude Martin, LIMSI/CNRS - University Paris South XI *GUEST EDITORS:* Hamdi Dibeklioglu, Bilkent University Elif Surer, Middle East Technical University Albert Ali Salah, Utrecht University Thierry Dutoit, University of Mons To submit a manuscript, visit https://www.springer.com/journal/12193 *For more information contact:* Asst. Prof. Dr. Hamdi Dibeklioglu Department of Computer Engineering, Bilkent University 06800 Bilkent - Ankara, Turkey phone: +90 (312) 290 1187 home: http://www.cs.bilkent.edu.tr/~dibeklioglu/ e-mail: dibeklioglu at cs.bilkent.edu.tr -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessio.micheli at unipi.it Tue May 5 09:40:38 2020 From: alessio.micheli at unipi.it (Alessio Micheli) Date: Tue, 5 May 2020 13:40:38 +0000 Subject: Connectionists: [CfP] IEEE TNNLS Special Issue on "New Frontiers in Extremely Efficient Reservoir Computing" Message-ID: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Special Issue on "New Frontiers in Extremely Efficient Reservoir Computing" Submission Deadline: September 15, 2020. More info: https://cis.ieee.org/images/files/Documents/call-for-papers/tnnls/CFP_Special_Issue_RC_TNNLS.pdf https://cis.ieee.org/publications/t-neural-networks-and-learning-systems Guest Editors: Gouhei Tanaka, The University of Tokyo, Japan, Claudio Gallicchio, University of Pisa , Italy, Alessio Micheli, University of Pisa, Italy, Juan Pablo Ortega, University of St. Gallen, Switzerland, Akira Hirose, The University of Tokyo, Japan. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Tue May 5 10:40:59 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Tue, 5 May 2020 16:40:59 +0200 Subject: Connectionists: Call for papers - FAPER2020 workshop at ICPR2020 - UPDATES In-Reply-To: References: Message-ID: <36bdd7c1-ecb9-479b-512a-129c6ab1a85b@unifi.it> FAPER2020 workshop at ICPR2020 ---===== Apologies for cross-postings =====--- Please distribute this call to interested parties _______________________________________________________________________ International Workshop on Fine Art Pattern Extraction and Recognition F A P E R 2 0 2 0 workshop in conjunction with the 25th International Conference on Pattern Recognition (ICPR2020) Milan, Italy, January 11, 2021 >>> https://sites.google.com/view/faper-workshop/ <<< *** Submission deadline: October 10, 2020 *** - Submission link: https://easychair.org/conferences/?conf=faper2020 - _______________________________________________________________________ === Aim & Scope === Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites. 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. === FAPER 2020 Special Issue === Authors of selected papers will be invited to extend and improve their contributions in the Special Issue "Selected Papers from FAPER 2020" of the Journal of Imaging (MDPI). - https://www.mdpi.com/journal/jimaging/special_issues/faper2020 - === Organizing committee === Gennaro Vessio (University of Bari, Italy) Giovanna Castellano (University of Bari, Italy) Fabio Bellavia (University of Palermo, Italy) === Venue === The workshop will be hosted at Milan Congress Center (Mi.Co.), which is located in Piazzale Carlo Magno 1, Milan, Italy. _________________________________________________________ Contacts: gennaro.vessio at uniba.it giovanna.castellano at uniba.it fabio.bellavia at unipa.it Workshop: https://sites.google.com/view/faper-workshop/ ICPR2020: https://www.micc.unifi.it/icpr2020/ From fabio.bellavia at unifi.it Tue May 5 10:41:25 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Tue, 5 May 2020 16:41:25 +0200 Subject: Connectionists: Call for papers - MAES@ICPR2020 workshop - UPDATES Message-ID: <7473ad6d-caa8-4d9d-3c06-d24a41b72763@unifi.it> MAES2020 workshop at ICPR2020 ---===== 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 /// Submission deadline: 10 October 2020 /// >>> https://sites.google.com/view/maes-icpr2020/ <<< _______________________________________________________________________ === 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 === - 10 October 2020 - workshop submission deadline - 10 November 2020 - author notification - 15 November 2020 - camera-ready submission - 1 December 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 luzhou at ksu.edu Tue May 5 16:44:12 2020 From: luzhou at ksu.edu (Lu Zhou) Date: Tue, 5 May 2020 20:44:12 +0000 Subject: Connectionists: 2nd CfP: WOP2020@ISWC2020 Workshop on Ontology and Semantic Web Patterns Message-ID: Workshop on Ontology and Semantic Web Patterns (11th edition) ? WOP2020 will take place at the 19th International Semantic Web Conference, ISWC2020, in Athens, Greece in November 2020 . WOP2020 will be **virtual**. Workshop Website: Submission deadline (papers and patterns): June 26, 2020 August 10, 2020 2nd Call for Papers --- We invite submissions to the 11th Workshop on Ontology Design and Patterns (WOP2020) to be held in conjunction with the International Semantic Web Conference (ISWC) that will take place in Athens from Nov. 2 to 6, 2020. WOP2020 is a full-day workshop consisting of three parts: paper presentations, a poster session, and an interactive breakout discussion session. The workshop aims to discuss issues of quality in ontology design. In particular, it focuses on the role and use of ontology design patterns (ODPs) for data and knowledge engineering in the Semantic Web, as related to the ontologydesignpatterns.org initiative. The increased attention to ODPs in recent years through their interaction with emerging trends of Semantic Web such as knowledge graphs can be attributed to their benefit for knowledge engineers and Semantic Web developers. Such benefits come in the form of direct link to requirements, reuse, guidance, and better communication. The workshop?s aim is to: 1) provide an arena for discussing patterns, pattern-based ontologies, systems, datasets, and 2) broaden the pattern community by developing its own "discourse" for discussing and describing relevant problems and their solutions. Topics --- We particularly welcome contributions on topics concerning development of high-quality ontologies in general (with or without the help of ODPs) as well as studies and applications of ODPs for knowledge graph construction and maintenance. In addition, as usual we also welcome pattern descriptions of all sorts, including patterns geared towards applications in specific domains such as geosciences, biomedical science, digital humanities, or e-commerce. The main topics of interest are: 1) Use of ontology design patterns for any kind of knowledge engineering, including ? Pattern-based ontology design, conceptual modeling or knowledge engineering broadly ? Use in knowledge graphs or linked data settings (including pattern-driven linking or data publishing) ? Pattern-based information extraction, ontology learning, and relation to NLP ? Use in streaming, ingesting or evolving knowledge ? Use of patterns for ontology evaluation, quality assurance, ontology selection, integration or alignment ? Pattern-based development of semantic applications ? Reasoning with patterns (including automated reasoning, verification, or contextual reasoning) 2) Methods and tools for developing high-quality ontologies (with or without the help of patterns), including ? Ontology engineering by domain experts ? Quality attributes or metrics in ontologies and ontology engineering ? Quality assurance approaches for ontology engineering 3) Development or analysis of ontology design patterns, including ? Pattern extraction ? Analyses of ontology design patterns or their uses ? Antipatterns and their relations to ODPs 4) Development and use of patterns in specific domains, including ? Date lakes, business intelligence, or Big Data integration ? Geosciences, life sciences, engineering, digital humanities, cultural preservation ? IoT, smart homes & cities, smart agriculture ? Semantic technology including social networks, semantic wikis or blogs Submissions --- We invite the submission of original research results related to the focus areas of the workshop, in one of three categories given below. All submissions are requested through EasyChair. 1) Research papers (maximum 15 pages LNCS style) presenting mature work and established results. 2) Short papers (maximum 5 pages LNCS style) presenting proposed research directions, novel ideas, or more general positions or discussions. 3) Ontology Design Patterns (5-12 pages LNCS style) should solve a particular modelling problem, of relevance either to the broader ontology engineering community, or to some specific knowledge domain, in a novel and reusable manner. Note that accepted pattern submissions are presented through a poster session. These must additionally be submitted through the ontologydesignpatterns.org community portal, as described on that page. Submissions should be made via . Detailed instructions can be found at the submission page . Important Dates --- Papers submissions: June 26, 2020 August 10, 2020 Papers notifications: August 3, 2020 September 11, 2020 Camera-ready submissions: September 2, 2020 September 21, 2020 Workshop will be held on: November 2 or 3, 2020 Proceedings --- Accepted research papers and pattern descriptions will be published online as CEUR-Workshop Proceedings. Authors of select papers will be also invited to contribute extended versions to a book to be published by IOS Press. WOP2020 Chairs --- ? Pascal Hitzler, Kansas State University, USA (general chair) ? Torsten Hahmann, University of Maine, USA (papers co-chair) ? Cogan Shimizu, Kansas State University, USA (papers co-chair) ? Raghava Mutharaju, IIIT-Delhi, India (patterns co-chair) ? Monika Solanki, Agrimetrics Ltd., UK (patterns co-chair) ? Lu Zhou, Kansas State University, USA (proceedings chair) For general inquiries, please contact Pascal Hitzler at or Lu Zhou at . -- Lu Zhou Data Semantics Laboratory Department of Computer Science? Kansas State University, Manhattan, KS, USA https://daselab.cs.ksu.edu/people/lu-zhou -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.felsberg at liu.se Wed May 6 05:08:25 2020 From: michael.felsberg at liu.se (Michael Felsberg) Date: Wed, 6 May 2020 09:08:25 +0000 Subject: Connectionists: Research Fellow/Assistant Professor in Machine Learning (tenure track) - closing date June 23 In-Reply-To: References: Message-ID: <4c121b6d6e73ef75db0aa186f21bc4b1b1c85f89.camel@liu.se> The Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden?s largest individual research program ever; a major national initiative for strategically motivated basic research, education and faculty recruitment (see https://wasp-sweden.org). WASP comprises five Swedish full partner universities and a substantial part of Swedish industry and commerce. The WASP initiative includes among many instruments an international recruitment program and the present announcement aims to strengthen Link?ping University specifically in the field of machine learning within the AI focus-area of WASP. The goal is to complement the existing excellence in, among others, the area of Computer Vision (Michael Felsberg). For this purpose, we seek competence in Machine Learning with focus particularly on methods, algorithms, and mathematical analysis relevant to Computer Vision. The developed methods and mathematical tools will aim at a better understanding of the theories and processes within statistical and deep learning-based systems. Possible research topics should match one or more of WASP focus areas 1) Representation learning and grounding, 2) Sequential decision- making and reinforcement learning, 3) Learning from small data sets, GANs and incremental learning, and 4) Multi-task and transfer learning. Examples for such topics are, but are not limited to, handling of uncertain input data, propagation of confidences, detection of anomalies, few-shot and model-agnostic learning, robustness to polluted training data, enforcement of hard constraints, explainability of complex networks, and explorative data acquisition. The research fellow will also explore application areas of this research, e.g., within forestry, agriculture technology, and synthetic environments for training autonomous driving. A successful candidate addressing the area above will be affiliated with the Computer Vision Laboratory (CVL) at the Department of Electrical Engineering. Unlike other international universities, thanks to the teachers' exemption (L?rarundantaget - i.e. the exemption from employers? rights to their employees? patentable inventions), researchers/academic staff at Swedish universities and colleges of higher education are given the rights to their own research results. LiU has support for researchers as inventors, with a unit at the University that helps the teacher to patent ideas, even fund the patent application, while the patent is still owned by the researcher. LiU offers an excellent research environment for you, while you may choose living in urban or rural environments with commuting distance of 15 min. Apply before June 23! https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=13806&rmlang=UK Best regards Michael Felsberg -- Professor Michael Felsberg Tel: +46 13 282460 Computer Vision Laboratory Mobile:+46 702 202460 Link?ping University email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden http://users.isy.liu.se/cvl/mfe/ -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/x-pkcs7-signature Size: 4823 bytes Desc: not available URL: From jonizhong at msn.com Wed May 6 06:02:44 2020 From: jonizhong at msn.com (Joni Zhong) Date: Wed, 6 May 2020 10:02:44 +0000 Subject: Connectionists: [CFP] Final CFP: SMC 2020 Special Session: Human-in-the-loop Machine Learning and Its Applications Message-ID: Toronto, Canada, OCT 11-14, 2020 Deadline: May 15th, 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: May 15, 2020 (extended) - Acceptance Notification: June 15, 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 publicity at acsos.org Wed May 6 07:03:29 2020 From: publicity at acsos.org (ACSOS 2020) Date: Wed, 6 May 2020 12:03:29 +0100 Subject: Connectionists: ACSOS 2020: Call for Tutorials Message-ID: ********* ACSOS 2020 - Call For Tutorials ********* 1st Joint ICAC/SASO International Conference on Autonomic Computing and Self-Organizing Systems 17-21 August 2020 ? Washington, DC & Online https://2020.acsos.org/https://twitter.com/ACSOSconf **************************************************** 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://conf.researchr.org/news/acsos-2020 or follow us at https://twitter.com/ACSOSconf!*** Important Dates *** *EXTENDED*: June 1, 2020: Tutorial proposal deadline *EXTENDED*: June 8, 2020: Tutorial acceptance notification August 17-August 21, 2020: Tutorial dates(subject to discussion) *** About ACSOS Tutorials *** ACSOS 2020 is soliciting proposals for tutorials to be co-located with its main conference. We seek proposals from individuals and teams interested in running tutorials on both introductory and advanced topics of relevance to the autonomic computing and self-organizing systems community. Ideally, each tutorial should be full or half-day. Tutorials will take place on Monday and Friday surrounding the main conference. We will interact with tutorial organizers in due time to define the schedule of the sessions and coffee breaks as well as technical and other requirements. Please submit your tutorial proposals as soon as possible. We will try to decide as early as possible on tutorial acceptance in order to give the organizers more time for planning. *** Tutorial Proposals ***Proposals for tutorials should be organized as a preliminary call for participation with a maximum of two pagesand contain the following information: - Title of the tutorial.- A brief technical description of the tutorial, specifying the tutorial goals, the technical issues that it will address, and the relevance of the tutorial to the main conference. The names, affiliations, phone numbers, and email addresses of the proposed tutorial organizer(s). - The primary email address for contacting the organizers.- Expected duration of the tutorial (half or full day). Tutorial proposals should be sent as a pdf via email to acsos20.workshops at gmail.com.*** Responsibilities of ACSOS Tutorial Organizers ***- Produce a Call for Participation for their tutorial. - Provide a brief description of the tutorial for the conference web page and program.- Advertise the tutorial (and the main ACSOS event) and issuing a call for participation - Write an abstract of the tutorial.Tutorial abstracts should be a maximum of one pageand will be included in the ACSOS Companion Volumethat will be published alongside the ACSOS main proceedings. A higher page limit and/or additional extra paid pages may be possible subject to the approval by the proceedings chair. - Ensure that the tutorial organizers and the participants register for the tutorial and/or the main conference.Important Note:- ACSOS reserves the right to cancel any tutorial if the above responsibilities are not fulfilled, or if too few attendees register for the tutorial to support its running costs. If you have questions about your proposal, do not hesitate to contact the tutorial and workshop chairs: claudia.raibulet at unimib.it or pkumar at wm.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From gracewlindsay at gmail.com Wed May 6 12:14:50 2020 From: gracewlindsay at gmail.com (Grace Lindsay) Date: Wed, 6 May 2020 17:14:50 +0100 Subject: Connectionists: =?utf-8?q?Neuromatch_2=2E0_=E2=80=93_an_online_un?= =?utf-8?q?conference_in_neuroscience=2C_May_25-27=2C_2020?= Message-ID: Announcing Neuromatch 2.0 ? an online unconference in neuroscience, May 25-27, 2020. After a successful two-day conference in March, Neuromatch is back for three days this May! This fully online computational neuroscience conference will include invited and submitted talks, a virtual poster session, panels, debates, group discussion, and ?mind-matching? events. In partnership with the IEEE Brain Initiative, one day of the conference will focus on neural data analysis. In partnership with eLife, Neuromatch will also feature talks and discussion with early career researchers. Registration and talk/poster submissions are due May 20th. For instructions on how to submit, please see: https://neuromatch.io/instructions/ For more information and to register for the conference, visit our site: https://neuromatch.io/ If you want to participate in the ?mind-matching? or group discussion events (where you?ll be algorithmically paired with other scientists based on mutual research interests), don?t forget to include example abstracts so we know your interests! Confirmed Speakers: - Eve Marder (Brandeis University) - Jenny Bizley (UCL) - Richard Naud (U of Ottawa) - Yael Niv (Princeton) - Jakob Macke (TU of Munich) - Asya Rolls (Technion) - Joseph Raimondo (U of Cape Town) - Dan Yamins (Stanford) - Demba Ba (Harvard) - Ilana Witten (Princeton) - Eugenia Chiappe (Champalimaud) - Byron Yu (CMU) - Adrienne Fairhall (U of Washington) - Polina Anikeeva (MIT) Sincerely, Neuromatch 2.0 organizers Dan Goodman (Imperial) Konrad Kording (UPenn) Brad Wyble (Penn State) Titipat Achakulvisut (UPenn) Tim Vogels (Oxford) Chris Rozell (Georgia Tech) Yiota Poirazi (IMBB/FORTH) Grace Lindsay (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.henderson at idiap.ch Wed May 6 14:15:11 2020 From: james.henderson at idiap.ch (James Henderson) Date: Wed, 6 May 2020 20:15:11 +0200 Subject: Connectionists: Postdoc and multiple PhD positions in deep learning for natural language understanding at Idiap (Switzerland) Message-ID: The Idiap Research Institute seeks qualified candidates for both a Postdoctoral researcher position and two PhD student positions at the interface between natural language processing and machine learning, to work with Dr. James Henderson in the Natural Language Understanding group (https://www.idiap.ch/en/scientific-research/natural-language-understanding). Idiap offers competitive salaries, a beautiful location, and a world-class AI research community.? PhD students are registered at EPFL, Switzerland.? Most of these positions are to work on the Swiss center of excellence (NCCR) project: Evolving Language. The ideal Postdoc candidate should hold a PhD degree in computer science, computational linguistics or related fields.? She or he should have a background in natural language processing and machine learning, and should have strong programming skills.? For the Postdoc position, please apply online here: https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710291%27%7D The ideal PhD candidate should hold a Master-level degree in computer science, computational linguistics or related fields. She or he should have a background in machine learning, optimisation, or natural language processing, and should have strong programming skills.? For the PhD positions, please apply online either here: https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710292%27%7D or here: https://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710290%27%7D All questions related to these positions should be sent to Dr. James Henderson (james.henderson at idiap.ch). Sincerely, ? - James Henderson ??? james.henderson at idiap.ch From marcin at amu.edu.pl Wed May 6 17:34:52 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 6 May 2020 23:34:52 +0200 Subject: Connectionists: CFP -- 1st Workshop on Actors, Agents, Assistants, Avatars (4A'20) -- video-presentation will be available In-Reply-To: References: Message-ID: CALL FOR PAPERS ************************************************************* 1st Workshop on Actors, Agents, Assistants, Avatars (4A'20) https://www.fedcsis.org/2020/4a Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020), Track 2 Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ https://www.fedcsis.org/2020/css ************************************************************* COVID-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. Nevertheless, we would like to stress that in case of inability to be physically present at the FedCSIS Conference, due to travel restrictions, the FedCSIS paper authors will be allowed to remotely present their papers. FedCSIS organizers ************************************************************** The field of, broadly understood, agent technology is undergoing rapid changes. What was once envisioned, primarily, in research papers becomes reality. Over last few years we observe proliferation of personal assistants and avatars (sometimes considered under a joint umbrella of ChatBots). For instance, consider Siri, Cortana, Amazon Echo, or Google Assistant (to name the most popular). They can help in different activities, but a lot of work remains before they reach full potential. Furthermore, actors start to materialize in real-world applications ? as a promising approach to implement large-scale distributed systems. It is also worthy noticing that avatars, humans and smart things can cooperate as a community that instantiates, contributes to and exploits various aspects of collective intelligence. Here, observe that agents can play very relevant role in the context of implementing, for example, intelligence of smart devices, which interact with each other and with humans, by common communication channels and, possibly even, social networks. At the same time, software tools that can be used to realize 4A systems have reached maturity and are surrounded by active user communities. Topics To recognize the current trends we have decided to develop a new workshop that will cover all aspects concerning the 4A?s. Therefore, we welcome submissions of original papers concerning the following topics (the list is not exhaustive and deliberately provided on a meta-level): * Actors, as an approach to design and (efficiently) implement distributed systems * Current perspectives on software agents and multi-agent systems * Design and implementation of assistants * ChatBot design, implementation and use ? Avatars for today and tomorrow * Theoretical foundations of 4A-based systems ? 4A-based simulations (with application to real-world use cases, in particular) * Case studies, applications and experiences with 4A?s (in real-world, in particular) Demo Session A special session devoted to demonstration of working prototypes is planned. Special recognition for the best demo will be given. Paper submission - Authors should submit draft papers (as Postscript, PDF or MSWord file). - The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). IEEE style templates are available here. - Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. - Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. - Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. - Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. - Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar - Extended versions of selected papers presented during the conference will be invited to the Special Issue of: ** Scalable Computing; Practice and Experience ** Complex Adaptive Systems Modeling (publication fee waiver for the papers that are going to be selected is expected) ** Multiagent and Grid Systems Organizers reserve right to move accepted papers between FedCSIS events. 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: September 6 - 9, 2020 Program Committee Agotnes, Thomas, University of Bergen, Norway Ambroszkiewicz, Stanislaw, Institute of Computer Science, Polish Academy of Sciences, Poland Barseghyan, Artak, Yerevan, Armenia Braubach, Lars, University of Hamburg, Germany Budimac, Zoran, Faculty of Sciences, Univ. of Novi Sad, Serbia Byrski, Aleksander, AGH University of Science and Technology, Poland Cabri, Giacomo, University of Modena and Reggio Emilia, Italy Florea, Adina, University POLITEHNICA of Bucharest, Romania Jedrzejowicz, Piotr, Gdynia Maritime University, Poland Jezic, Gordan, University of Zagreb, Croatia Kaleta, Mariusz, Warsaw University of Technology, Poland Kruczkiewicz, Zofia, Wroc?aw University of Technology, Poland Kusek, Mario, University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia Leszczyna, Rafal, Gdansk University of Technology, Poland Letia, Ioan Alfred, Technical University of Cluj-Napoca, Romania Montangero , Manuela Morge, Maxime, Universit? de Lille, France Negru, Viorel, West University of Timisoara, Romania Neruda, Roman, Institute of Computer Science, Academy of Sciences of the Czech Republic, Czech Republic Ngoc-Thanh, Nguyen, Wroclaw University of Science and Technology, Poland Niazi, Muaz, COSMOSE Research Group, COMSATS Institute of IT, Pakistan Oliveira, Eugenio, Faculty of Engineering, University of Porto, Portugal Omicini, Andrea, Alma Mater Studiorum?Universit? di Bologna, Italy Oren, Nir, University of Aberdeen, United Kingdom Ouedraogo, Moussa, Public Research Centre Henri Tudor, Luxembourg Paik, Incheon, University of Aizu, Japan Poggi, Agostino, DII - University of Parma, Italy Pokahr, Alexander, Helmut-Schmidt-Universit?t/Universit?t der Bundeswehr Hamburg, Germany Rahimi, Shahram, Southern Illinois University, United States Rimassa, Giovanni, Whitestein Technologies AG, Switzerland Rykowski, Jarogniew, Poznan University of Economics, Poland Sakellariou, Ilias, University of Macedonia, Greece Santoro, Corrado, University of Catania, Italy Schaefer, Robert, AGH University of Science and Technology, Poland Senatore, Sabrina, DIEM University of Salerno, Italy Tang, Yuqing, Carnegie Mellon University, United States Thimm, Matthias, University of Koblenz-Landau, Germany Venticinque, Salvatore, University of Campania "Luigi Vanvitelli", Italy Vouros, George, University of Piraeus, Greece Wahjudi, Paulus, Marshall Unviersity, United States Event Chairs Badica, Costin, University of Craiova, Romania Ganzha, Maria, Warsaw University of Tecnoogy, Poland Ivanovi?, Mirjana, University of Novi Sad, Serbia Paprzycki, Marcin, Systems Research Institute Polish Academy of Sciences, Poland Unland, Rainer, Universit?t Duisburg-Essen, Germany Contact: 4a2020 at fedcsis.org -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From claudio.piciarelli at uniud.it Thu May 7 03:56:47 2020 From: claudio.piciarelli at uniud.it (Claudio Piciarelli) Date: Thu, 7 May 2020 07:56:47 +0000 Subject: Connectionists: [CFP] SI on Remote Sensing Message-ID: (apologies for multiple copies) =================================================================== CALL FOR PAPERS * Special Issue on Computer Vision and Deep Learning for Remote Sensing Applications * Journal: Remote Sensing (MDPI), IF 4.118 Guest Editors: Hyungtae Lee, Sungmin Eum, Claudio Piciarelli Full info: http://mdpi.com/si/46402 Deadline: accepted papers will be published continuously in the journal (as soon as accepted) till the deadline (31 March 2021) =================================================================== Abstract: Today, the field of computer vision and deep learning is rapidly progressing into many applications, including remote sensing, due to its remarkable performance. Especially for remote sensing, a myriad of challenges due to difficult data acquisition and annotation have not been fully solved yet. The remote sensing community is waiting for a breakthrough to address these challenges by utilizing high-performance deep learning-based models that typically require large-scale annotated datasets. This issue is looking for such breakthroughs focusing on the advances in remote sensing using computer vision, deep learning and artificial intelligence. Although broad in scope, contributions with a specific focus are expected. For this special issue, we welcome the most recent advancements related, but not limited to: * Deep learning architecture for remote sensing * Machine learning for remote sensing * Computer vision method for remote sensing * Classification / Detection / Regression * Unsupervised feature learning for remote sensing * Domain adaptation and transfer learning with computer vision and deep learning for remote sensing * Anomaly/novelty detection for remote sensing * New dataset and task for remote sensing * Remote sensing data analysis * New remote sensing application * Synthetic remote sensing data generation * Real-time remote sensing * Deep learning-based image registration Dr. Hyungtae Lee Dr. Sungmin Eum Dr. Claudio Piciarelli Guest Editors -------------- next part -------------- An HTML attachment was scrubbed... URL: From davidjrohde at gmail.com Thu May 7 04:43:43 2020 From: davidjrohde at gmail.com (david rohde) Date: Thu, 7 May 2020 10:43:43 +0200 Subject: Connectionists: Bayesian Machine Learning at Scale Webinar Starting Wed 13 May Message-ID: We are very pleased to announce: Laplace's Demon, Bayesian Machine Learning at Scale (BMLS), a seminar series about practical Bayesian methods in academia and industry. https://sites.google.com/view/laplacesdemon/home The first session of BMLS will be on the 13th of may at 15.00 UTC and will be given by Christian Robert of Universit? Paris-Dauphine. The second session will be on the 10 June and given by Aki Vehtari of Aalto University. The third session will be on 1 July by John Ormerod of The University of Sydney. We will announce details of other upcoming speakers as they become available, including: Nicolas Chopin, Fran?ois Caron, Pierre Latouche, Victor Elvira, Sarah Filippi, Chris Oates. Machine learning is changing the world we live in at a break neck pace. >From image recognition and generation, to the deployment of recommender systems, it seems to be breaking new ground constantly and influencing almost every aspect of our lives. In this seminar series we ask distinguished speakers to comment on what role Bayesian statistics and Bayesian machine learning have in this rapidly changing landscape. Do we need to optimally process information or borrow strength in the big data era? Are philosophical concepts such as coherence and the likelihood principle relevant when you are running a large scale recommender system? Are variational approximations, MCMC or EP appropriate in a production environment? Can I use the propensity score and call myself a Bayesian? How can I elicit a prior over a massive dataset? Is Bayes a reasonable theory of how to be perfect but a hopeless theory of how to be good? Do we need Bayes when we can just A/B test? What combinations of pragmatism and idealism can be used to deploy Bayesian machine learning in a large scale live system? We ask Bayesian believers, Bayesian pragmatists and Bayesian sceptics to comment on all of these subjects and more. Please stay informed on the series by joining the Google group or following us on Twitter. Registration for Christian Robert's 13th May talk 'Component-wise approximate Bayesian computation via Gibbs-like steps' is already open. https://sites.google.com/view/laplacesdemon/home -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Thu May 7 06:22:02 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Thu, 7 May 2020 12:22:02 +0200 Subject: Connectionists: Call for Participation, ACDL2020, 3rd Advanced Course on Data Science & Machine Learning, July 13-17, Certosa di Pontignano (Siena) Tuscany - Italy, Early Registration: May 18 Message-ID: ACDL 2020, 3rd Advanced Course on Data Science & Machine Learning An Interdisciplinary Course: Big Data, Deep Learning & Artificial Intelligence without Borders ACDL 2020 ? A Unique Experience: Data Science, Machine Learning & Artificial Intelligence with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 13-17, 2020 W: https://acdl2020.icas.xyz E: acdl at icas.xyz FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences The past 2 editions have attracted more than 150 students per year and world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie Kaelbling, Peter Norvig, Alex 'Sandy' Pentland, Marc'Aurelio Ranzato, Ruslan Salakhutdinov, Josh Tenenbaum, Naftali Tishby and Oriol Vinyals. More info about our current and past editions can be found here: https://acdl2020.icas.xyz/past-editions/ Early registration deadline: Monday May 18 https://acdl2020.icas.xyz/registration/ CALL FOR PARTICIPATION, POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2020.icas.xyz/registration/ Early registration deadline: Monday May 18 DEADLINES: Early Registration Deadline: Monday May 18. Oral/Poster Presentation Submission Deadline: Monday May 18. Late Registration: from May 19 to June 15 (last date for registration). Accommodation Reservation at the Certosa di Pontignano: May 31. Notification of Decision for Oral/Poster Presentation: June 30. LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Michael Bronstein, Twitter & Imperial College London, UK * Sergiy Butenko, Texas A&M University, USA * Marco Gori, University of Siena, Italy * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Risto Miikkulainen, University of Texas at Austin, USA * Panos Pardalos, University of Florida, USA * Jos? C. Principe, University of Florida, USA * Mihaela van der Schaar, University of Cambridge, UK TUTORIAL SPEAKERS: * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Adam Paszke, University of Warsaw, Poland 4-hour tutorial on "PyTorch: A Modern Library for Machine Learning" SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. 8 ECTS POINTS: Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. A formal certificate of successful participation in the event will be delivered indicating the number of hours of lectures. VENUE & ACCOMMODATION: The venue of ACDL 2020 will be The Certosa di Pontignano ? Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2020.icas.xyz/venue/ ACCOMMODATION: https://acdl2020.icas.xyz/accommodation/ REGISTRATION: https://acdl2020.icas.xyz/registration/ Anyone interested in participating in ACDL 2020 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in Tuscany next July! ACDL 2020 Organizing Committee. E: acdl at icas.xyz W: https://acdl2020.icas.xyz FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Thu May 7 06:46:09 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Thu, 7 May 2020 12:46:09 +0200 Subject: Connectionists: Call for Participation, ACDL2020, 3rd Advanced Course on Data Science & Machine Learning, July 13-17, Certosa di Pontignano (Siena) Tuscany - Italy, Early Registration: May 18 Message-ID: ACDL 2020, 3rd Advanced Course on Data Science & Machine Learning An Interdisciplinary Course: Big Data, Deep Learning & Artificial Intelligence without Borders ACDL 2020 ? A Unique Experience: Data Science, Machine Learning & Artificial Intelligence with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 13-17, 2020 W: https://acdl2020.icas.xyz E: acdl at icas.xyz FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences The past 2 editions have attracted more than 150 students per year and world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie Kaelbling, Peter Norvig, Alex 'Sandy' Pentland, Marc'Aurelio Ranzato, Ruslan Salakhutdinov, Josh Tenenbaum, Naftali Tishby and Oriol Vinyals. More info about our current and past editions can be found here: https://acdl2020.icas.xyz/past-editions/ Early registration deadline: Monday May 18 https://acdl2020.icas.xyz/registration/ CALL FOR PARTICIPATION, POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2020.icas.xyz/registration/ Early registration deadline: Monday May 18 DEADLINES: Early Registration Deadline: Monday May 18. Oral/Poster Presentation Submission Deadline: Monday May 18. Late Registration: from May 19 to June 15 (last date for registration). Accommodation Reservation at the Certosa di Pontignano: May 31. Notification of Decision for Oral/Poster Presentation: June 30. LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Michael Bronstein, Twitter & Imperial College London, UK * Sergiy Butenko, Texas A&M University, USA * Marco Gori, University of Siena, Italy * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Risto Miikkulainen, University of Texas at Austin, USA * Panos Pardalos, University of Florida, USA * Jos? C. Principe, University of Florida, USA * Mihaela van der Schaar, University of Cambridge, UK TUTORIAL SPEAKERS: * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Adam Paszke, University of Warsaw, Poland 4-hour tutorial on "PyTorch: A Modern Library for Machine Learning" SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. 8 ECTS POINTS: Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. A formal certificate of successful participation in the event will be delivered indicating the number of hours of lectures. VENUE & ACCOMMODATION: The venue of ACDL 2020 will be The Certosa di Pontignano ? Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2020.icas.xyz/venue/ ACCOMMODATION: https://acdl2020.icas.xyz/accommodation/ REGISTRATION: https://acdl2020.icas.xyz/registration/ Anyone interested in participating in ACDL 2020 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in Tuscany next July! ACDL 2020 Organizing Committee. E: acdl at icas.xyz W: https://acdl2020.icas.xyz FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Thu May 7 10:56:37 2020 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Thu, 7 May 2020 16:56:37 +0200 Subject: Connectionists: [CfP] ISWC 2019 - *One week left* to submit your abstracts for the Research, In-Use and Resource tracks Message-ID: <718C58E7-FA3A-4926-8F4D-409C71B3ACD1@gmail.com> 19th International Semantic Web Conference (ISWC 2020) The premier international forum for the Semantic Web and Linked Data Community https://iswc2020.semanticweb.org/ Follow us: Twitter: @iswc_conf , #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/groups/13612370 Facebook: https://www.facebook.com/ISWConf/ *** All deadlines are AoE (anywhere on Earth) *** In this announcement: 1. Call for Research papers 2. Call for In-use papers 3. Call for Resource papers The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. Before submitting their work to one of the tracks, authors are asked to consult the calls of the other tracks featured at ISWC 2020 and to choose the track that best suits their contribution. The submission of the same work to multiple tracks is not allowed and may result in a rejection of the work across all tracks without a review. 1. Call for Research papers ******************************************* In this track of ISWC 2020, we are looking for novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. While we welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, etc.), we also encourage contributions to research at the intersection of the Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant, and replicable research on the Semantic Web. All papers must include method evaluations that are rigorous, repeatable and reproducible. This will be one of the key reviewing criteria. We also strongly encourage papers that provide links to the data sets, source code and queries used to evaluate their approach, and/or live deployments. All papers will be assessed by the track program committee. Each paper will be reviewed by at least four committee members, including one senior member. After a successful first edition, the ISWC Reproducibility Initiative is running for the second time at ISWC2020. The Reproducibility Initiative is open to the accepted papers of the ISWC Research Track that have some significant experimental results that are amenable to be reproducible. Topics of interest and further info: https://iswc2020.semanticweb.org/calls/call-for-research-track-papers/ == Important Dates == Abstracts: May 15, 2020 [EXTENDED] Full papers: May 22, 2020 [EXTENDED] == Program Chairs == Contact: iswc2020-program at easychair.org Jeff Pan, University of Aberdeen, UK Valentina Tamma, University of Liverpool, UK 2. Call for In-use papers ******************************************* The adoption of Semantic Web technologies has accelerated in recent years, where they are now deployed in a variety of real-world settings at a variety of scales. The In-Use Track at ISWC 2020 continues the tradition of demonstrating and learning from the increasing adoption of Semantic Web technologies by providing a forum for the community to explore the benefits and challenges of applying such technologies in concrete, practical use cases, beyond the research communities from which they originate, in contexts ranging from industry to government and science. The track also aims at ?giving a stage?? to solutions for real world problems using Semantic Web technologies, where these are may be hidden, showing that in many cases of SW adoption, these play a crucial but not necessarily visible role, for more efficient, interoperable and easier to maintain solutions. The In-Use Track thus seeks submissions describing applied and validated solutions such as software tools, systems or architectures that benefit from the use of Semantic Web technologies (including, but not limited to, technologies based on the Semantic Web standards). Importantly, submitted papers should provide convincing evidence of the use of the proposed application or tool by the target user group, preferably outside the group that conducted the development and, more broadly, outside the Semantic Web research community. A main focus of the submissions should be on the benefits of Semantics Web technologies for the intended use case, as well as (if relevant) the added challenges they introduce. Topics of interest and further info: https://iswc2020.semanticweb.org/calls/call-for-in-use-track-papers/ == Important Dates == Abstracts: May 15, 2020 [EXTENDED] Full papers: May 22, 2020 [EXTENDED] == Program Chairs == Contact: iswc2020-in-use at easychair.org Bo Fu, California State University Long Beach, USA Axel Polleres, Vienna University of Economics and Business, Austria 3. Call for Resource papers ******************************************* Resources are of paramount importance as they foster scientific advancement. For example, the DBpedia had a major influence on the Semantic Web community by enabling the Linked (Open) Data movement. These resources include, among others, datasets, benchmarks, workflows, and software. Sharing them is key to allow other researchers to compare new results, reproduce experimental settings and explore new lines of research, in accordance with the FAIR principles for scientific data management. The ISWC 2020 Resources Track aims to promote the sharing of resources including, but not restricted to: datasets, ontologies/vocabularies, ontology design patterns, evaluation benchmarks or methods, software tools/services, APIs and software frameworks, workflows, crowdsourcing task designs, protocols, methodologies and metrics, that have contributed or may contribute to the generation of novel scientific work. In particular, we encourage the sharing of such resources following best and well-established practices within the Semantic Web community. As such, this track calls for contributions that provide a concise and clear description of a resource and its usage. Categories of resources and further info: https://iswc2020.semanticweb.org/calls/call-for-resources-track-papers/ == Important Dates == Abstracts: May 15, 2020 [EXTENDED] Full papers: May 22, 2020 [EXTENDED] == Program Chairs == Contact: iswc2020-resource at easychair.org Claudia d?Amato, University of Bari, Bari, Italy Krzysztof Janowicz, University of California, Santa Barbara, USA. The ISWC 2020 Organising Team ( https://iswc2020.semanticweb.org/organizing-committee/ ) From ioannakoroni at csd.auth.gr Thu May 7 11:13:18 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Thu, 7 May 2020 18:13:18 +0300 Subject: Connectionists: Asynchronous access to Computer Vision and Machine Learning (CVML) Web lecture repository References: <007f01d6244c$b8f4e560$2adeb020$@csd.auth.gr> Message-ID: <00a901d62482$0ac96ed0$205c4c70$@csd.auth.gr> Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts, due to numerous requests worldwide, asynchronous access is now offered to Computer Vision and Machine Learning (CVML) Web lecture material: a) lecture pdf/ppt, b) lecture video, c) lecture understanding questionnaire d) lecture satisfaction questionnaire. This allows individual study at own pace. The following lectures are already in the repository: * Introduction to Autonomous Systems * Introduction to Computer vision * Image acquisition, camera geometry * Stereo and Multiview imaging Two more lectures are added each week, the next to come being: * Structure from Motion * 2D convolution and correlation algorithms Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ No new registration is needed for old registrants, just an email to Ioanna Koroni > or Orestis Sarakatsanos orestiss at csd.auth.gr . All other provisions for CVML Web lectures (certificate of participation etc) apply. These 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 (delivered 2nd May 2020) Stereo and Multiview imaging (delivered 2nd May 2020) Structure from Motion 2D convolution and correlation algorithms 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. 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. Sincerely yours Prof. Ioannis Pitas Director of AIIA Lab, Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomislav.milekovic at epfl.ch Thu May 7 19:10:41 2020 From: tomislav.milekovic at epfl.ch (Milekovic Tomislav) Date: Thu, 7 May 2020 23:10:41 +0000 Subject: Connectionists: PhD position at EPFL (Lausanne, Switzerland) Message-ID: <5f55d0d461b9416896f11f313fd3eb70@epfl.ch> 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 ludovico.montalcini at gmail.com Thu May 7 15:25:29 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Thu, 7 May 2020 21:25:29 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Papers=3A_The_6th_Internationa?= =?utf-8?q?l_Conference_on_Machine_Learning=2C_Optimization_=26_Dat?= =?utf-8?q?a_Science_=E2=80=93_July_19-23=2C_2020_=E2=80=93_Certosa?= =?utf-8?q?_di_Pontignano=2C_Siena=2C_Italy_-_Paper_Submission_Dead?= =?utf-8?q?line=3A_May_15?= Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees. The 6th International Conference on Machine Learning, Optimization, and Data Science ? July 19-23, 2020 ? Certosa di Pontignano, Siena ? Tuscany, Italy An Interdisciplinary Conference: Machine Learning, Optimization, Big Data & Artificial Intelligence without Borders W: https://lod2020.icas.xyz E: lod at icas.xyz EC: https://easychair.org/conferences/?conf=lod2020 FB: https://www.facebook.com/groups/2236577489686309/ Important Date: * Paper Submission Deadline: May 15 ? Anywhere on Earth. Registration * Early Registration as Presenting Author: June 15 * Early Registration: June 15 * Late Registration: From June 16 KEYNOTE SPEAKERS: * Pierre Baldi, University of California Irvine, USA * Yoshua Bengio, Universit? de Montr?al, Canada - A.M. Turing Award 2018 LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 * Nando de Freitas, Google DeepMind, London, UK & Oxford University, UK * Marco Gori, University of Siena, Italy * Marta Kwiatkowska, University of Oxford, UK * Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany * Panos Pardalos, University of Florida, USA * Tomaso Poggio, MIT, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 * Raniero Romagnoli, Almawave, Italy * Cristina Savin, Center for Neural Science, New York University, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 * Tali Tishby, The Hebrew University, Israel LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 More Keynote Speakers Coming soon! Tutorial Speakers * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Vincenzo Sciacca, Almawave, Italy Tutorial on "Natural Language Processing and Deep Learning" More Tutorial Speakers Coming soon! SATELLITE WORKSHOPS I) Satellite Workshop on "Biologically Plausible Learning" on July 19 https://lod2020.icas.xyz/workshop-on-biologically-plausible-learning/ Chair: Marco Gori, University of Siena, Italy Keynote Speaker: * Pierre Baldi, University of California Irvine, USA * Yoshua Bengio, Universit? de Montr?al, Canada - A.M. Turing Award 2018 * Tomaso Poggio, MIT, USA * Cristina Savin, Center for Neural Science, New York University, USA * Tali Tishby, The Hebrew University, Israel Paper Submission Deadline: May 15 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 II) Workshop on ?Integrative Machine Learning? Chair: Marco Gori, University of Siena, Italy https://lod2020.icas.xyz/workshop-on-integrative-machine-learning/ Paper Submission Deadline: May 15 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 SPECIAL SESSIONS: https://lod2020.icas.xyz/special-sessions/ * Big data in Economics and Finance Organized by the Big Data and Forecasting of Economic Developments project (bigNOMICS) of the Centre for Advanced Studies of the European Commission, Joint Research Centre. Chairs: Sergio Consoli, Luca Barbaglia, Luca Tiozzo Pezzoli * Industrial Session Chairs: Vincenzo Sciacca ? Almawave, Giovanni Giuffrida ? Neodata. * Special Session on Explainable Artificial Intelligence Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications. https://robotics.sciencemag.org/content/4/37/eaay7120 * Multi-Objective Optimization (MOO) & Multi Criteria Decision Aiding (MCDA) * The 7 Special Sessions on Machine Learning Multi-Task Learning Reinforcement Learning Deep Learning Generative Adversarial Networks Deep Neuroevolution Networks with Memory Learning from Less Data and Building Smaller Models * The 7 Special Session on Data Science and Artificial Intelligence Simulation Environments to understand how AI Systems Learn Chatbots and Conversational Agents Data Science at Scale & Data in the Cloud Urban Informatics & Data-Driven Modelling of Complex Systems Data-centric Engineering Data Security, Traceability of Information & GDPR Economic Data Science Special Session Paper Submission Deadline: May 15 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 BEST PAPER AWARD Springer sponsors the LOD 2020 Best Paper Award with a cash prize of 1,000 Euro. https://lod2020.icas.xyz/best-paper-award/ PROGRAM COMMITTEE 500+ confirmed PC members! Breaking the record of the last edition of LOD! https://lod2020.icas.xyz/program-committee/ BIG DATA CHALLENGE Our sponsor, Neodata Lab, will offer a prize of ?2000 to the applicant who develops the most accurate algorithm to process the following problem. https://lod2020.icas.xyz/lod-2020-challenge/ See you in Siena next July! Best regards, LOD 2020 Organizing Committee W: https://lod2020.icas.xyz E: lod at icas.xyz EC: https://easychair.org/cfp/LOD2020 FB: https://www.facebook.com/groups/2236577489686309/ T: https://twitter.com/TaoSciences L: https://www.linkedin.com/groups/12092025/ * Apologies for multiple copies. Please forward to anybody who might be interested * Past Editions https://lod2020.icas.xyz/past-editions/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Fri May 8 02:32:19 2020 From: Francesco.Rea at iit.it (Francesco Rea) Date: Fri, 8 May 2020 06:32:19 +0000 Subject: Connectionists: =?windows-1252?q?=5Bjobs=5D__Postdoctoral_positio?= =?windows-1252?q?n_in_=93Cognition_for_safety_and_ergonomics_for_human-ro?= =?windows-1252?q?bot_interaction_in_manufacturing_workspaces=94_-_=5B_Pos?= =?windows-1252?q?tdoc_=5D?= Message-ID: <6fd64509ecae4ee2889ecc33a31b97ca@iit.it> The COgNiTive Architecture for Collaborative Technologies Research Line at Istituto Italiano di Tecnologia in Genoa ? Center for Human Technologies, is opening one postdoctoral position focusing on the assessment of engagement with safety and ergonomic work, design of proactive measures and counter measures for safety preservation, optimization of ergonomics, design of software infrastructure for social interaction and safety-ergonomic preservation. The research activities will be carried out under the supervision of Dr. Alessandra Sciutti and Dr. Francesco Rea (Participant Manager within the Steering Board -SB). The selected candidate will work with a multidisciplinary consortium of participant to the awarded project APRIL (H2020, n. G.A. 870142). APRIL project aims at implementing and deploying market oriented, low cost and multipurpose robots that supports semiautomatic tasks in manufacturing production lines and handle flexible or deformable materials in industries of any size or domain. The candidate will work with different robotic platforms for human-robot interaction in manufacturing context selected together with the consortium and with different sensorial setups specifically designed to assess the gaze pattern, reaction time, working movements, fatigue level in workers. https://www.iit.it/careers/openings/opening/1198-postdoctoral-position-in-cognition-for-safety-and-ergonomics-for-human-robot-interaction-in-manufacturing-workspaces The activity will be carried out within the implementation of the APRIL project in a fully equipped laboratory, including motion capture and eye-tracking devices, and in a team with a variety of competences ranging from robotics to designing of experimental studies on humans. The research for this Postdoctoral position will involve: * Sensing of human working conditions for social, safe and ergonomic based activities on human-robot collaboration * Design of control systems for Safety in human-robot collaboration * Development of a system improving human-robot social collaboration in manufacturing context * Development of a system improving ergonomics and mitigating health and safety risks The first goal of the research is redesigning cognition for safety and ergonomics for human-robot collaboration in manufacturing workspaces. The second goal of technological implications is to support the design of new multipurpose robotics for manipulation of deformable materials in manufacturing processes. The successful candidate will be offered a salary commensurate to experience and skills. Interested applicants should submit CV, list of publications, name and contacts of 2 referees and a statement of research interest to jobpost.78417 at iit.it by May 20, 2020 quoting Postdoctoral position in ?Cognition for safety and ergonomics for human-robot interaction in manufacturing workspaces - CB 78417? in the subject line. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Fri May 8 03:02:17 2020 From: Francesco.Rea at iit.it (Francesco Rea) Date: Fri, 8 May 2020 07:02:17 +0000 Subject: Connectionists: =?windows-1252?q?_=5Bjobs=5D__Postdoctoral_positi?= =?windows-1252?q?on_in_=93Efficient_perception_for_safety_and_ergonomics_?= =?windows-1252?q?for_human-robot_interaction_in_manufacturing_workspaces?= =?windows-1252?q?=94?= Message-ID: <0bb2c22d31d3490a8c268ec536be7a77@iit.it> Event-Driven Perception for Robotics Research Line at Istituto Italiano di Tecnologia (www.edpr.iit.it) is opening a Post doc position in Efficient perception for safety and ergonomics for human-robot interaction in manufacturing workspaces. The position is focusing on neuromorphic sensing of human presence and human movement with the goal of improving safety and ergonomics for human-robot interaction in manufacturing workspaces. The research activities will be carried out under the supervision of Dr. Chiara Bartolozzi and Dr. Arren Glover. The selected candidate will work with a multidisciplinary consortium of participant to the awarded project APRIL (H2020 DT-FOF-12, n. G.A. 870142). APRIL project aims at implementing and deploying market oriented, low cost and multipurpose robots that support semiautomatic tasks in manufacturing production lines and handle flexible or deformable materials in industries of any size or domain. The candidate will work with different robotic platforms for human-robot interaction in manufacturing context selected together with the consortium and with different sensorial setups specifically designed to assess the gaze pattern, reaction time, working movements, fatigue level in workers. Specifically, the candidate will work on the decoding of human movement and intention to improve safety and interaction between robots and operators, using event-driven vision sensing, to exploit efficiency, low latency and high temporal resolution. Event-driven vision will be used to extract relevant characteristics of velocity, and acceleration in 3D to infer action features (e.g. trajectory prediction, time-of-arrival) and psychophysics state of the operator (e.g.: vitality and fatigue). Such kinematic and psychophysics parameters will be used to estimate in real-time the intention and goal of the action. Salary and benefits are competitive for international standards. Please submit your application, including a detailed curriculum vitae and name and contacts of 2 referees, using the online form at https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2000000R (deadline May 18th, 2020),. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Menno.VanZaanen at nwu.ac.za Fri May 8 05:52:19 2020 From: Menno.VanZaanen at nwu.ac.za (Menno Van Zaanen) Date: Fri, 08 May 2020 11:52:19 +0200 Subject: Connectionists: Call for online participation: First workshop on Resources for African Indigenous Language (RAIL) Message-ID: <5EB52BD3020000AE002CC132@v-pgw-nlx2.p.nwu.ac.za> First workshop on Resources for African Indigenous Languages (RAIL) Invitation to participate The South African Centre for Digital Language Resources (SADiLaR) will be hosting a virtual workshop (originally expected to be held at the LREC 2020 conference in Marseille, France) in the field of African Indigenous Language Resources. You are hereby invited to attend the first workshop on Resources for African Indigenous Languages (RAIL) that will be held virtually on 16 May 2020 from 9:00 to 13:00 SAST. Participation in this virtual workshop is free. Please register on EventBrite: https://bit.ly/1stRAIL. Details on how to join the workshop will be sent out to registered participants. The workshop aims to bring together researchers who are interested in showcasing their research and thereby boosting the field of African indigenous languages. It will provide an overview of the current state-of-the-art of African indigenous language resources (both data and tools) and emphasizes their availability. The workshop will allow for information sharing among researchers interested in African indigenous languages as well as start discussions on improving the quality and availability of the resources. Many African indigenous languages currently have no or very limited resources available and, additionally, they are often structurally different from more well-resourced languages, requiring the development and use of specialized techniques. By bringing together researchers from different fields (e.g., (computational) linguistics, sociolinguistics, language technology) to discuss the development of language resources for African indigenous languages, we hope to boost research in this field. Topics include the following: * Language collections (description and creation) * Lexicography * Syntactic analysis * Computational linguistic tools * Wordnets Support The first workshop on African indigenous languages is supported by Videolectures.net. Details Free virtual workshop on African indigenous languages 16 May 9:00 to 13:00 SAST Register through https://bit.ly/1stRAIL 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 buenoandfine at gmail.com Fri May 8 17:09:48 2020 From: buenoandfine at gmail.com (Slavik Slavikk) Date: Fri, 8 May 2020 23:09:48 +0200 Subject: Connectionists: Brain Computer Interfaces 101 online webinars Message-ID: Brain Computer Interfaces 101 online webinars. Free online series of events with representatives from different neurotechnology companies. 5th-21st of May Topics include: 1. BCI. Mainstream and Trends 2. Neurophysiology basis of brain-machine interfaces 3. How to start your experiment. From research to startup. 4. Analyzing brain activity and many others Speakers are joining from different companies all around the world including Facebook, Emotiv, g.tec, OpenBCI, Neurocity, BitBrain and many others. More info about the events: https://www.eventbrite.com/e/bci-101-tickets-103682840166 -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Sat May 9 13:19:08 2020 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Sat, 9 May 2020 19:19:08 +0200 Subject: Connectionists: Industry vacancies for ML Research Scientists (Trustworthiness/Robustness) in Berlin/Germany Message-ID: Neurocat, a Berlin-based AI safety and security start-up, is searching candidates for several vacancies including positions as ML Research Scientists: https://www.neurocat.ai/jobs/machine-learning-research-scientist/ Neurocat is active at the forefront of developing service offerings in the AI trustworthiness sector, working with blue-chip companies (among others in the mobility and the telecommunications sector) on questions relating to robustness and explainability of mostly ML-based systems. If that sounds interesting, have a look at the job descriptions at: https://www.neurocat.ai/jobs/ Direct link to the vacancies for ML Research Scientists: https://www.neurocat.ai/jobs/machine-learning-research-scientist/ If you have questions, feel free to reach out to meow at neurocat.ai (making reference to this posting on the Connectionists lists) or contact me directly. Cheers, Tarek. -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Fri May 8 09:16:34 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Fri, 8 May 2020 15:16:34 +0200 Subject: Connectionists: [CfP] ICLP 2020 - Deadline Approaching - *One week left* to submit your abstracts Message-ID: ======================================================== *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 * ======================================================== *IMPORTANT HIGHLIGHTS:** ** **Conference online:* 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. *Deadlines Extension:* Due to the difficult period we are all experiencing and the profound impact that this has been having on our lives and daily work we have decided to extend the submission deadline for ICLP 2020. New schedule of important dates is highlighted below: *Main Conference and Applications Track* ??? Abstract registration (regular papers)*: May 15, 2020* ??? Paper submission (regular paper): *May 22, 2020 * ??? Notification to authors (regular paper): *June 26, 2020* ??? Paper Submission (short papers): *June 30, 2020* ??? Revision submission (TPLP papers): *July 13, 2020* ??? Final notifications (TPLP papers): *July 24, 2020* ??? Camera-ready copy due: *July 29, 2020 * *Research Challenges Track* ??? Abstract registration and paper submission: *June 30, 2020* ??? Final notifications: *July 24, 2020* ??? Camera-ready copy due: *July 29, 2020* *Sister Conferences and Journal Presentation Track* ??? Abstract registration and paper submission: *June 30, 2020* ??? Final notifications: *July 24, 2020* ??? Camera-ready copy due: *July 29, 2020* *Invited Speakers:* Esra Erdem - Sabanci University, Turkey Joao Marquez-Silva -? ANITI, University of Toulouse, France Luc De Readt - KU Leuven, Belgium Francesca Rossi - T.J. Watson IBM Research Lab, USA ============================== ========================== *The Conference* The 36th International Conference on Logic Programming (ICLP 2020) will take place from the 18th September 2020 in Rende (CS),?Italy. 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. -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From romain.serizel at loria.fr Mon May 11 05:07:42 2020 From: romain.serizel at loria.fr (Romain Serizel) Date: Mon, 11 May 2020 11:07:42 +0200 (CEST) Subject: Connectionists: =?utf-8?q?PhD/Post-doc/research_engineer_position?= =?utf-8?q?s_in_machine_listening=2C_Loria/Inria_Nancy_=E2=80=93_Grand_Est?= =?utf-8?q?=2E?= Message-ID: <284691504.2787345.1589188062090.JavaMail.zimbra@loria.fr> Dear list, ---Apologies for cross-posting--- We are opening 3 positions in the field of ambiant sound analysis at Loria/Inria Nancy ? Grand Est. * 1 Phd position in Automatic audio scene captioning with natural language: [ https://jobs.inria.fr/public/classic/fr/offres/2020-02616 | https://jobs.inria.fr/public/classic/fr/offres/2020-02616 ] * 1 Post-doc position in Privacy preserving audio event detection: [ https://jobs.inria.fr/public/classic/fr/offres/2020-02630 | https://jobs.inria.fr/public/classic/fr/offres/2020-02630 ] * 1 Research Engineer position in Privacy preserving audio event detection: [ https://jobs.inria.fr/public/classic/fr/offres/2020-02627 | https://jobs.inria.fr/public/classic/fr/offres/2020-02627 ] Feel free to contact me if you need additional information. We are looking forward to your applications! -- Romain Serizel Multispeech Project-Team Universit? de Lorraine, Loria Campus scientifique, 54506 Vand?uvre-l?s-Nancy, France Phone: +33 3 5495 8485 Web: https://members.loria.fr/RSerizel/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mihaela.rozman at tuwien.ac.at Mon May 11 04:56:41 2020 From: mihaela.rozman at tuwien.ac.at (Rozman, Mihaela) Date: Mon, 11 May 2020 08:56:41 +0000 Subject: Connectionists: 6-year PostDoc Position in Algorithms at the Vienna University of Technology (TU Wien), Vienna, Austria *** Application deadline is May 28, 2020 *** In-Reply-To: <1589187059340.62703@tuwien.ac.at> References: <1589187059340.62703@tuwien.ac.at> Message-ID: <1589187399863.5078@tuwien.ac.at> / Apologies for cross-posting / / Please feel free to distribute among the nodes in your network / The Algorithms and Complexity Group at the Vienna University of Technology (TU Wien), Vienna, Austria, is offering a 6-year PostDoc Position in Algorithms. *** Application deadline is May 28, 2020 *** REQUIREMENTS - Completed doctoral study in Computer Science or a related area - Excellent Knowledge in the field of algorithms and complexity - Excellent publications in top-tier conferences and journals - Very good communication skills and an interest in teaching - Research experience in at least one of the following areas: -- parameterized algorithms and complexity -- algorithmic applications of graph decompositions -- satisfiability and constraint satisfaction - A good command of the German language is desirable - Expected start: 1.10.2020 (negotiable) WE OFFER - A stimulating scientific environment - Continuing support in personal and academic carrier development - Outstanding opportunities for collaboration - Workplace in a central location in one of the most liveable cities in the world - Entry-level salary as a postdoctoral researcher is covered by level B1 of the Austrian Collective Agreement for university staff and receives a minimum of currently EUR 3.889,50/month gross, 14 times/year. Relevant working experiences may increase the monthly income. TU Wien is committed to increasing female employment in leading scientific positions. Female candidates are explicitly encouraged to apply. Preference will be given when equally qualified. APPLICATIONS *** Application deadline is May 28, 2020 *** Applications should be submitted by e-mail to Manuela Reinharter and should contain: - Letter of motivation - CV - List of publications - Short research statement - Three of the most important publications - Contact information of three referees Expected start: 1.10.2020 (negotiable) CONTACT AND INFORMAL INQUIRES For informal inquiries, please contact Univ.Prof.Dr. Stefan Szeider . VACANCY ANNOUNCEMENT WEBSITE https://www.ac.tuwien.ac.at/jobs/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ymyannick at gmail.com Mon May 11 09:33:46 2020 From: ymyannick at gmail.com (Yannick Roy) Date: Mon, 11 May 2020 09:33:46 -0400 Subject: Connectionists: =?utf-8?q?=F0=9F=A7=A0_Neureka_Epilepsy_Challenge?= =?utf-8?q?_-_Test_set_released!?= Message-ID: Hi everyone! NeuroTechX and Novela Neurotech launched an epilepsy challenge on the TUH EEG Dataset over a month ago. The Test/Eval set is now available and we are entering the last week of the challenge! [image: Neureka-TestEval-1-small.png] The Neureka 2020 Epilepsy Challenge is open to any and everyone to participate. 1st Place = $5000 USD 2nd Place = $2000 USD https://neureka-challenge.com/ Have a wonderful day, -Yannick. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Neureka-TestEval-1-small.png Type: image/png Size: 485457 bytes Desc: not available URL: From sepand.haghighi at yahoo.com Mon May 11 11:39:13 2020 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Mon, 11 May 2020 15:39:13 +0000 (UTC) Subject: Connectionists: PyCM 2.7 released: Machine learning library for confusion matrix statistical analysis References: <1833703946.1036511.1589211553448.ref@mail.yahoo.com> Message-ID: <1833703946.1036511.1589211553448@mail.yahoo.com> https://github.com/sepandhaghighi/pycm https://www.pycm.ir - average method added?#299 - weighted_average method added?#274 - weighted_kappa method added?#243 - pycmAverageError class added?#274?#299 - Bangdiwala's B added?#303 - MATLAB examples added?#268 - Github action added?#297 - Document modified - README.md?modified - relabel method bug fixed?#293 - sparse_table_print function bug fixed?#293 - matrix_check function bug fixed - Minor bug in Compare class fixed?#294 - Class names mismatch bug fixed?#293 Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From bam_sumit at hotmail.com Mon May 11 12:24:37 2020 From: bam_sumit at hotmail.com (sumit bam shrestha) Date: Mon, 11 May 2020 16:24:37 +0000 Subject: Connectionists: Research Position in Neuromorphic Computing: Institute for Infocomm Research, Singapore Message-ID: Institute for Infocomm Research (I2R), at the Agency for Science Technology and Research (A*STAR), Singapore is looking for Research Scientists in Neuromorphic Computing. The candidate will be involved in the project where the main objective is for neuromorphic algorithm development. Job Requirements * PhD in Computer Science, Computer Engineering, ECE, EE, EEE, or Computational Neuroscience * Minimum 4 years of relevant experience (including PhD internship) * Deep spiking neural network (SNN) learning algorithms design and development * Solid programming skills in Python and SNN learning frameworks built on top of deep learning frameworks such as Tensorflow, PyTorch * Skills in applying above algorithm and programming skills to solve real-world problems The details of the application can be found at [https://careers.a-star.edu.sg/JobDetails.aspx?ID=Xsjv414yZ9NC2PHUXDXhLg%3d%3d] and [https://careers.a-star.edu.sg/JobDetails.aspx?ID=4oYl2%2btqhPqN%2b2KXV7%2fpiw%3d%3d] For additional inquiries, you can email me at Sumit_Bam at i2r.a-star.edu.sg -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.schmuker at biomachinelearning.net Tue May 12 04:13:37 2020 From: m.schmuker at biomachinelearning.net (Michael Schmuker) Date: Tue, 12 May 2020 10:13:37 +0200 Subject: Connectionists: Dual-award PhD in Neuromorphic Olfaction (UH/WSU) Message-ID: <06979460-3CF2-4680-8BDD-98AFBE961F05@biomachinelearning.net> We?re looking for an outstanding candidate to enter a Dual-PhD programme on Neuromorphic Olfaction. The successful candidate will pursue a PhD in the BioMachineLearning lab at the University of Hertfordshire (UK), and the International Centre for Neuromorphic Systems (ICSC), at Western Sydney University, Australia. The successful candidate will develop event-based algorithms for Neuromorphic olfaction, in close collaboration with Neuromorphic hardware developers and computational neuroscientists. In this unique opportunity, the candidate is eligible to obtain a PhD award from both universities, UH and WSU. It?s a fully funded programme that covers also travel expenses between UH and WSU. Interested? Get in touch! More info: https://biomachinelearning.net/positions ? Dr Michael Schmuker AFHEA Reader in Data Science Biocomputation Group University of Hertfordshire https://biomachinelearning.net -------------- next part -------------- An HTML attachment was scrubbed... URL: From jd.lopes at hw.ac.uk Tue May 12 04:44:00 2020 From: jd.lopes at hw.ac.uk (=?utf-8?Q?Jos=C3=A9_David_Lopes?=) Date: Tue, 12 May 2020 09:44:00 +0100 Subject: Connectionists: Call for Late-Breaking and Position Papers: SIGdial 2020 Special Session on Situated Dialogue with Virtual Agents and Robots (RoboDial 2.0) Message-ID: <5BBD9642-0AA9-493E-A7F4-6F1DBF2F8F86@hw.ac.uk> Call for Late-Breaking and Position Papers: SIGdial 2020 Special Session on Situated Dialogue with Virtual Agents and Robots (RoboDial 2.0) Late-breaking, work-in-progress, and position papers due **June 5** (deadline extended). **Introduction** Recent technologies have brought conversational robots out of the lab and into the homes and workplaces of real users. Dialogue is now actively taking place between people and agents to operate, navigate, visualize, and interact in physical or virtual spaces. *Situated dialogue* distinguishes itself from other forms of dialogue in that it (1) takes place in an environment (real or simulated), (2) refers to the shared surroundings of interlocutors, and (3) involves an embodied agent (e.g., a robot or device). There is a growing need for bi-directional dialogue work to be showcased that supports the body of research on language grounding, vision and language, as well as dialogue that will allow situated agents, like robots, to ask for clarification and provide updates on their internal states. Our objectives in this special session are to showcase recent and ongoing work on situated dialogue, and to identify paths forward in this space from research across communities including dialogue, robotics, virtual agents, computer vision, NLP, and AI. The special session will feature oral presentations and a poster session. We welcome submissions on any topic related to situated dialogue, including but not limited to: - Interaction studies with smart-home devices and virtual agents - Learning from demonstration through natural language dialogue - Explainable AI in physical and virtual spaces - Representations of physical surroundings / world modeling to support grounded communication - Embodied visual question answering and/or generation - Empirical studies of human-robot dialogue (Wizard-of-Oz based, simulated, or semi-autonomous) - Computational models of dialogue management and/or turn-taking with physical or virtual agents - Methods of building or leveraging common ground with physical agents in real-world or simulated environments - Corpora of situated dialogue (Wizard-of-Oz based, simulated, or semi-autonomous) - Corpus analysis of situated dialogue - Multimodal information processing to support dialogue (including speech, gaze, gesture) - Physical embodiment, voice, or personification of robots and its effect on human-robot dialogue - Communicating feedback from robots using affordances in addition to speech - Machine learning methods for embodied dialogue systems - Dialogue-based collaborative human-robot interaction - Spoken language generation for situated dialogue - Spoken language / speech processing technologies to support situated dialogue **Call for Papers** Researchers may choose to submit: *Late-breaking and work-in-progress papers* will showcase ongoing work and focused, relevant contributions. Submissions need not present original work. Late-breaking and work-in-progress papers should be no longer than four pages including title, text, figures and tables, and references. These will be reviewed by the special session organizers and posted on the special session website. These papers will be presented as lightning talks or posters during the session. Authors will retain the copyright to their work so that they may submit to other venues as their work matures. *Position papers* will give voice to authors who wish to take a position on a topic listed above or the field of spoken, situated dialogue on robots at large. Submissions need not present original work. These will be reviewed by the special session organizers and posted on the special session website. These papers will be presented as lightning talks or posters during the session. Authors will retain the copyright to their work so that they may submit to other venues. Important Dates **Late-breaking and work-in-progress paper deadline: June 5** To submit a late-breaking or work-in-progress paper, please email a 2-4 page PDF (including references) formatted using the SIGdial 2020 format guidelines, to: robodial at googlegroups.com by June 5. Anonymization is not necessary. **Position paper deadline: June 5** To submit a position paper, please email a 4-6 page PDF (including references) formatted using the SIGdial 2020 format guidelines, to: robodial at googlegroups.com by June 5. Anonymization is not necessary. **List of Organizers** Jose David Lopes, Heriot Watt University Stephanie Lukin, Army Research Lab Matthew Marge, Army Research Lab Vikram Ramanarayanan, Educational Testing Service Matthias Scheutz, Tufts University Casey Kennington, Boise State University Cynthia Matuszek, University of Maryland, Baltimore County Contact: robodial at googlegroups.com **Website** For more information and updates please check the special session website at https://robodial.github.io ________________________________ Founded in 1821, Heriot-Watt is a leader in ideas and solutions. With campuses and students across the entire globe we span the world, delivering innovation and educational excellence in business, engineering, design and the physical, social and life sciences. This email is generated from the Heriot-Watt University Group, which includes: 1. Heriot-Watt University, a Scottish charity registered under number SC000278 2. Heriot- Watt Services Limited (Oriam), Scotland's national performance centre for sport. Heriot-Watt Services Limited is a private limited company registered is Scotland with registered number SC271030 and registered office at Research & Enterprise Services Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS. The contents (including any attachments) are confidential. If you are not the intended recipient of this e-mail, any disclosure, copying, distribution or use of its contents is strictly prohibited, and you should please notify the sender immediately and then delete it (including any attachments) from your system. -------------- next part -------------- An HTML attachment was scrubbed... URL: From publicity at cikm2020.org Tue May 12 07:09:57 2020 From: publicity at cikm2020.org (CIKM 2020 Publicity) Date: Tue, 12 May 2020 19:09:57 +0800 Subject: Connectionists: CIKM 2020 - Call for Applied and Resource papers - COVID19 UPDATES Message-ID: * Apologies for cross-posting * ** 2nd Call for APPLIED RESEARCH PAPERS and RESOURCE PAPERS ** 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. CALL FOR APPLIED RESEARCH PAPERS More info: https://cikm2020.org/call-for-applied-research-papers/ Important Dates Paper abstract submission deadline: June 1, 2020 Paper submission deadline: June 8, 2020 Paper acceptance notification: July 24, 2020 Camera ready submission deadline: August 17, 2020 The Applied Research Track aims at attracting submissions from both industry and academia that either solve or advance the understanding of issues related to deploying AI, IR and big data technologies as part of actual applications. Topics of Interest: We encourage submissions of works in the same area of relevance of the CIKM2020 Research Track but that describe applied and in-use works, including but not limited to the following application areas: - Business Intelligence - Social Networks and Social Good - Healthcare and Bioinformatics - Computing Infrastructures - Emerging Applications CALL FOR RESOURCE PAPER More info at https://cikm2020.org/call-for-resource-papers/ Important Dates Paper abstract submission deadline: June 1, 2020 Paper submission deadline: June 8, 2020 Paper acceptance notification: July 24, 2020 Camera ready submission deadline: August 17, 2020 CIKM recognises the importance of publicly available scientific resources, such as datasets, evaluation benchmarks, tools or libraries as a necessary and important prerequisite for fostering research in core CIKM areas. The Resources Track seeks submissions from both academia and industry that describe resources available to the community. An ideal resource track paper will fit into one or more of the following categories: 1. Describing a new and innovative dataset 1. To support research on novel application domains; 2. To support novel evaluation tasks; 3. Created using novel methods and/or algorithms; 4. Labeled using novel and well-described annotation and/or crowdsourcing approaches; 2. Reusable research prototypes and services; 3. Open software frameworks, tools and libraries which support tasks in data science, data engineering or information & knowledge management". 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 mihaela.rozman at tuwien.ac.at Tue May 12 06:08:35 2020 From: mihaela.rozman at tuwien.ac.at (Rozman, Mihaela) Date: Tue, 12 May 2020 10:08:35 +0000 Subject: Connectionists: Several Open PhD Positions in the doctoral program on Logical Methods in Computer Science (LogiCS) in Austria ***Deadline: June 12, 2020*** In-Reply-To: <1589277402537.60696@tuwien.ac.at> References: <1589276960667.70264@tuwien.ac.at>, <1589277402537.60696@tuwien.ac.at> Message-ID: <1589278114759.18565@tuwien.ac.at> {With apologies for cross-posting, please see below for information and thank you for a possible share among your network nodes} ____________________________________________________________________________________________________________ TU Wien (Vienna University of Technology) TU Graz (Graz University of Technology), and JKU Linz (Johannes Kepler University), are seeking highly qualified candidates for the joint doctoral program on Logical Methods in Computer Science (LogiCS), funded by the Austrian Science Fund (FWF). We are recruiting up to 12 doctoral candidates for a starting period of 3 years, with a negotiable starting date. Deadline: June 12, 2020 ____________________________________________________________________________________________________________ The PhD program focuses on interdisciplinary research topics covering ? computational logic, and applications of logic to ? databases and artificial intelligence, ? computer-aided verification, ? security and privacy, ? cyber-physical systems, as well as to ? distributed systems. ______________________________________________________ THE PROGRAM ______________________________________________________ Our PhD program LogiCS is focusing on logic and its applications in computer science. Successful applicants will work with and be mentored by leading researchers in the fields of computational logic, databases and knowledge representation, computer-aided verification, security and privacy, cyber-physical systems, and distributed systems. The LogiCS doctoral program offers top research expertise, and a stimulating and supportive environment. The LogiCS is coordinated by TU Wien, which offers an outstanding research environment and numerous professional development opportunities. The Faculty of Informatics of TU Wien is the largest one in Austria and is consistently ranked among the best in Europe. The founding body of the LogiCS, the Austrian Science Fund (FWF), offers multiple funding opportunities for young researchers to advance their independent scientific careers. ______________________________________________________ FACULTY MEMBERS ______________________________________________________ - M. Bartocci - A. Biere - R. Bloem - A. Ciabattoni - T. Eiter - G. Gottlob - R. Grosu - L. Kovacs - M. Maffei - M. Ortiz - U. Schmid - M. Seidl - S. Szeider - G. Weissenbacher - S. Woltran The LogiCS faculty comprises 15 renowned researchers with strong records in research, teaching and advising, complemented by 15 associated members who further strengthen the research and teaching activities of the college. ______________________________________________________ POSITIONS AND FUNDING ______________________________________________________ * We are looking for 12 very strong doctoral students. * The doctoral positions are funded for at least 3 years according to the funding scheme of the Austrian Science Fund (FWF). (30 hours per week/ 39.000 EUR gross/year) * The funding can be extended for one additional year contingent on a placement at one of our international partner institutions. * The location of the research post is Vienna, Graz or Linz, Austria. ______________________________________________________ SEEKING CANDIDATES FOR THE CURRENT RESEARCH AREAS ______________________________________________________ At the moment we are particularly looking for candidates interested in the following areas: * Automated Software Verification * Description Logics * Epistemic logic in distributed computing * Game-based Semantics * Fixed-Parameter Algorithms and Complexity * Formal Verification of hybrid systems * Knowledge Representation and Reasoning * Model Checking * Modeling and analysis of digital integrated circuits * Normative Reasoning * Ontology-based Data Access * Security and Privacy * Scheduling and logic programming * Study of the Interaction between rules from a knowledge base and rules arising from machine learning * Topology in distributed computing * Quantified Boolean Formulas ______________________________________________________ HOW TO APPLY ______________________________________________________ Detailed information about the application process is available on the LogiCS web-page: https://logic-cs.at/phd/admission/ * The applicants are expected to have completed an excellent diploma or master?s degree in computer science, mathematics, or a related field. * Candidates with comparable achievements will be considered on a case-by-case basis. * Applications by the candidates need to be submitted electronically. Application Deadline: June 12, 2020 ______________________________________________________ LOGIC IN AUSTRIA ______________________________________________________ Austria has a highly active and successful logic in the computer science community. Recent activities include: Austrian Research Network in Rigorous Systems Engineering - http://www.arise.or.at Vienna Center for Logic and Algorithms - http://www.vcla.at International Kurt Goedel Society - http://www.kgs.logic.at ______________________________________________________ HIGHEST QUALITY OF LIFE ______________________________________________________ The Austrian cities Vienna, Graz, and Linz, located close to the Alps and surrounded by beautiful nature, provide an exceptionally high quality of life, with a vibrant cultural scene, numerous cultural events, world-famous historical sites, a large international community, a varied cuisine and famous coffee houses. If you decide to be located in Vienna, the city features a vibrant and excellence-driven research landscape, with several leading research institutes (e.g., University of Vienna, IST, AIT, SBA) and universities continuously establishing collaborations in various fields. Finally, Vienna has been consistently ranked by Mercer over the last years the best city for quality of life worldwide. ______________________________________________________ ADDITIONAL INFORMATION ______________________________________________________ LogiCS web-page: https://logic-cs.at/phd/admission/ For further information please contact: info at logic-cs.at -------------- next part -------------- An HTML attachment was scrubbed... URL: From doya at oist.jp Tue May 12 18:43:10 2020 From: doya at oist.jp (Kenji Doya) Date: Tue, 12 May 2020 22:43:10 +0000 Subject: Connectionists: International Symposium on Artificial Intelligence and Brain Science 2020 in Tokyo References: <45c950987a4f4790a654560b11d1203e@OSBPR01MB2821.jpnprd01.prod.outlook.com> Message-ID: <073CD54A-9D10-47FF-9207-433E11F86D76@oist.jp> We are pleased to announce a symposium that brings together researchers in the forefront of AI and neuroscience. Application for poster presentation is open till June 1st and general registration will start from July 1st, 2020. ******** International Symposium on Artificial Intelligence and Brain Science Date: October 10-12 (Sat-Mon), 2020 Venue: Ito Hall, The University of Tokyo, Japan Web site: http://www.brain-ai.jp/symposium2020/ Program (it may be held online depending on the COVID-19 situation) ? Saturday, October 10th (from 1pm) Keynote: Josh Tenenbaum (MIT) Session 1: Deep Learning and Reinforcement Learning Yann LeCun (NYU, Facebook), Yutaka Matsuo (U Tokyo), Doina Precup (McGill U) David Silver (DeepMind), Masashi Sugiyama (RIKEN AIP/U Tokyo IRCN) ? Sunday, October 11th Session 2: World Model Learning and Inference Ila Fiete (MIT), Karl Friston (UCL), Yukie Nagai (U Tokyo IRCN) Maneesh Sahani (Gatsby Unit), Tadahiro Taniguchi (Ritsumeikan U) Poster Session Session 3: Metacognition and Metalearning Matthew Botvinick (DeepMind), Ryota Kanai (ARAYA), Angela Langdon (Princeton U) Hiroyuki Nakahara (RIKEN CBS), Xiao-Jing Wang (NYU) ? Monday, October 12th Session 4: AI for Neuroscience and Neuromorphic Technologies Jim DiCarlo (MIT), Yukiyaku Kamitani (Kyoto U), Rosalyn Moran (King?s College London) Terry Sejnowski (Salk Institute), Hidehiko Takahashi (Tokyo MDU) Session 5: Social Impact and Neuro-AI Ethics Anne Churchland (CSHL), Kenji Doya (OIST), Arisa Ema (U Tokyo IFI) Hiroaki Kitano (SONY CSL), Stuart Russell (UC Berkeley) Poster Registration: May 11th - June 1st (review result notified by June 20) General Registration: July 1st - 31st (or when the capacity is reached) Please check the web site: http://www.brain-ai.jp/symposium2020/ Sponsor: KAKENHI Project on Artificial Intelligence and Brain Science (http://www.brain-ai.jp) Co-sponsors: RIKEN AIP (https://aip.riken.jp/?lang=en) U Tokyo IFI (https://ifi.u-tokyo.ac.jp/en/) U Tokyo IRCN (https://ircn.jp/en/) Contact: ncus at oist.jp ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From leah at labvanced.com Tue May 12 09:10:28 2020 From: leah at labvanced.com (Lee Leah) Date: Tue, 12 May 2020 15:10:28 +0200 Subject: Connectionists: Online Research with Labvanced Message-ID: <1882051589288980@mail.yandex.com> An HTML attachment was scrubbed... URL: From publicity at acsos.org Wed May 13 04:30:13 2020 From: publicity at acsos.org (ACSOS 2020) Date: Wed, 13 May 2020 09:30:13 +0100 Subject: Connectionists: ACSOS 2020: Call for Doctoral Symposium Papers Message-ID: <09945f2e-56c3-b5bb-483f-49e72f0c8525@acsos.org> **** ACSOS 2020 - Call For Doctoral Symposium Papers **** 1st Joint ICAC/SASO International Conference on Autonomic Computing and Self-Organizing Systems 17-21 August 2020 ? Washington, DC & Online https://2020.acsos.org/ https://twitter.com/ACSOSconf ******************************************************** 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://conf.researchr.org/news/acsos-2020 or follow us at https://twitter.com/ACSOSconf! The Doctoral Symposium provides an international forum for PhD students working in ACSOS-related research fields to present their work to a diverse audience of leading experts in the field, to gain both insightful feedback and discussion points around their research as well as the invaluable experience of presenting new research to an international audience. The symposium has a strong history, though ICAC and SASO, of connecting young researchers with highly experienced peers to forge connections which can last for many years. PhD students are invited to submit a two-page abstract, with another page for references, which should use the below format to describe the key motivation of their research, the major contribution (either actual or expected, depending on the research stage), discuss their methodology, and present the current status of the research. Authors of accepted papers will have the opportunity to present their work both at the doctoral symposium and in brief at the main conference itself, offering a very wide audience for their research. Students at any stage of their PhD are welcome to submit. Reviews, feedback, and expectations will be adapted appropriately to the relative stage of each submission. **** Important Dates **** June 3, 2020: Paper submission deadline June 24, 2020: Paper acceptance notification July 8, 2020: Camera ready deadline **** Mentoring Program **** This year the Doctoral Symposium will employ a mentoring program, in which every author of an accepted paper will be paired with an experienced mentor from the community. Mentors will help introduce the student to the community, offer extended discussion of their research objectives and career opportunities, and will host their students throughout the event to help gain the best experience from an international conference. **** Submission Instructions **** Submissions should use the IEEE Computer Society Press format (https://www.ieee.org/conferences/publishing/templates.html) and should be a maximum of 2 pages long, with an extra page permitted for references. Authors should submit their abstracts to EasyChair at https://easychair.org/conferences/?conf=acsos20 Because the doctoral symposium focuses on the work of specific PhD students, please note that only single-author submissions are permitted, with the name of the PhD supervisor included below that of the author. All submissions should have the following specific structure: Motivation and challenges: explain why this research is important, and identify the key research question and challenges that have yet to be addressed by the community - including limitations of current approaches Contribution and objectives: present the main contribution of the research, in a way that a non-expert could clearly understand, then present the detailed objectives of your research, highlighting why your work is novel in comparison to existing research Methodology and preliminary results: present the methodology of your approach, discussing why it is suitable to your contribution, and also present any preliminary results if you have them Future work and research plan: summarise your intended future work, and provide a schedule of milestones with a discussion of their feasibility Authors of accepted submissions will prepare a final (camera-ready) version of their abstract, taking into account reviewers? feedback. Doctoral symposium papers will be submitted to IEEE Xplore as part of the ACSOS proceedings and will be made available in the IEEE Digital Library. **** Symposium Organisers **** Phyllis Nelson, California State Polytechnic University Pomona, USA - prnelson at cpp.edu Barry Porter, Lancaster University, UK - b.f.porter at lancaster.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Wed May 13 06:25:59 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Wed, 13 May 2020 12:25:59 +0200 Subject: Connectionists: Call for Papers - MDPI Journal of Imaging special issue on "Fine Art Pattern Extraction and Recognition" Message-ID: <16709ea2-5aa9-9646-6a9b-5674dd6fae11@unifi.it> ???????????????????? Apologies for multiple posting ??????????? Please distribute this call to interested parties ************************************************************************ ??????????????????? Call for Papers - special issue ?????????????????? of the MDPI Journal of Imaging on ???????????? --------------------------------------------- ????????????? Fine Art Pattern Extraction and Recognition ???????????? --------------------------------------------- Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites. This special issue will provide the researchers from diverse areas such as pattern recognition, computer vision, artificial intelligence, and image processing, with the opportunity to present advancements in the state of the art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for the better understanding and fruition of fine arts. Topics include, but are not limited to: - Application of machine learning and deep learning to cultural heritage - Computer vision and multimedia data - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Historical document analysis - Content-based retrieval in the art domain - Speech, audio, and music analysis from historical archives - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Projects, products, or prototypes for cultural heritage restoration, preservation, and fruition **************************************** ?Submission Deadline:? 28 February 2021 **************************************** Submit your paper to manuscript submission and peer review site via the following link: -->> https://www.mdpi.com/journal/jimaging/special_issues/faper2020 <<-- The Article Processing Charge (APC) for publication in the MDPI Journal of Imaging is 1000 CHF (Swiss Francs). ----------------- ?Editor-in-Chief ----------------- Prof. Gonzalo Pajares Martinsanz, Universitad Complutense de Madrid, Spain ---------------- ?Guest Editors ---------------- Giovanna Castellano, Universita' di Bari, Italy Gennaro Vessio, Universita' di Bari, Italy Fabio Bellavia, Universita' di Palermo, Italy From cgf at isep.ipp.pt Wed May 13 05:33:40 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Wed, 13 May 2020 10:33:40 +0100 Subject: Connectionists: [held online] CFP: Big Data & Deep Learning in HPC (IEEE Xplore) @Porto, Portugal Message-ID: <92e90776-4f45-aeb0-6853-56d30cd8fc94@isep.ipp.pt> Workshop on BIG DATA & DEEP LEARNING in HIGH PERFORMANCE COMPUTING (BDL2020) (https://sbac2020.dcc.fc.up.pt/bdl2020/) in conjunction with the IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2020) (https://sbac2020.dcc.fc.up.pt/) September 9, 2020, Porto, Portugal ---------------------------------------------------------------------------- ** NEW ** BDL2020 will be held online (synchronous and/or asynchronous) ---------------------------------------------------------------------------- We are monitoring the Coronavirus disease (COVID-19) outbreak and following the recommendations/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 September, we will make BDL2020 an online (synchronous and/or asynchronous) event and we will maintain the regular publication activities, i.e., accepted papers will be eligible for publication at the IEEE Xplore. The Workshop fee is now 200 euros. ------------------------------------ WORKSHOP ON BIG DATA & DEEP LEARNING IN HIGH PERFORMANCE COMPUTING ------------------------------------ The number of very large data repositories (big data) is increasing in a rapid pace. Analysis of such repositories using the "traditional" sequential implementations of ML and emerging techniques, like deep learning, that model high-level abstractions in data by using multiple processing layers, requires expensive computational resources and long running times. Parallel or distributed computing are possible approaches that can make analysis of very large repositories and exploration of high-level representations feasible. Taking advantage of a parallel or a distributed execution of a ML/statistical system may: i) increase its speed; ii) learn hidden representations; iii) search a larger space and reach a better solution or; iv) increase the range of applications where it can be used (because it can process more data, for example). Parallel and distributed computing is therefore of high importance to extract knowledge from massive amounts of data and learn hidden representations. The workshop will be concerned with the exchange of experience among academics, researchers and the industry whose work in big data and deep learning require high performance computing to achieve goals. Participants will present recently developed algorithms/systems, on going work and applications taking advantage of such parallel or distributed environments. ------------------------------------ LIST OF TOPICS ------------------------------------ All novel data-intensive computing techniques, data storage and integration schemes, and algorithms for cutting-edge high performance computing architectures which targets Big Data and Deep Learning are of interest to the workshop. Examples of topics include but not limited to: - parallel algorithms for data-intensive applications; - scalable data and text mining and information retrieval; - using Hadoop, MapReduce, Spark, Storm, Streaming to analyze Big Data; - energy-efficient data-intensive computing; - deep-learning with massive-scale datasets; - querying and visualization of large network datasets; - processing large-scale datasets on clusters of multicore and manycore processors, and accelerators; - heterogeneous computing for Big Data architectures; - Big Data in the Cloud; - processing and analyzing high-resolution images using high-performance computing; - using hybrid infrastructures for Big Data analysis. - New algorithms for parallel/distributed execution of ML systems; - applications of big data and deep learning to real-life problems. ------------------------------------ KEY DATES ------------------------------------ Deadline for paper submission: May 25, 2020 Author notification: July 1, 2020 Camera-ready version of papers: July 25, 2020 ------------------------------------ SUBMISSION ------------------------------------ We invite authors to submit original work to BDL. All papers will be peer reviewed and accepted papers will be published in IEEE Xplore. Submissions must be in English, limited to 8 pages in the IEEE conference format (see https://www.ieee.org/conferences/publishing/templates.html) All submissions should be made electronically through the EasyChair system: https://easychair.org/conferences/?conf=bdl2020 ------------------------------------ REGISTRATION ------------------------------------ A full registration to the workshop and presentation are needed in order to have your paper included in the workshop proceedings. The Workshop fee is 200 euros. Registration system available in https://sbac2020.dcc.fc.up.pt/bdl2020/registration.html ------------------------------------ VENUE ------------------------------------ Department of Computer Science, Faculty of Sciences, University of Porto Rua do Campo Alegre 1021/1055 4169-007 Porto, Portugal 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. ------------------------------------ ORGANIZATION ------------------------------------ Carlos Ferreira (LIAAD - INESC TEC LA and Polytechnic Institute of Porto) Jo?o Gama (LIAAD - INESC TEC LA and University of Porto) Albert Bifet (Telecom ParisTech) Miguel Areias (CRACS - INESC TEC LA and University of Porto) Rui Camacho (LIAAD -INESC TEC LA and University of Porto) 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 annalisa.riccardi at strath.ac.uk Wed May 13 08:25:17 2020 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Wed, 13 May 2020 12:25:17 +0000 Subject: Connectionists: Job Opportunities at the Optimisation and Optimal Control research group at the Center for Applied Mathematics of the University of Bremen (Germany) Message-ID: (sent on behalf of Prof Christof Bueskens at the University of Bremen, Germany) ========================================================== Dear colleagues and friends, in our working group on Optimization and Optimal Control at the Center for Industrial Mathematics at the University of Bremen, we have 9-10 open positions 75%-100% of a full time job within the next month. The open positions are linked to various topics, like - Nonlinear Optimisation - Optimal Control - Nonlinear Model Predictive Control - Numerics and Scientific Computing and projects/tasks, e.g. - Autonomous driving with our own research vehicle - Autonomous driving for agricultural machinery - Object detection with deep neuronal networks for agricultural machinery - Multi-objective optimisation for energy grid systems - Software tools for automated parameterization of digital twins - Model predictive control for high-voltage converter - Traffic management optimisation for the city of Bremen - Real world and industrial projects The possibility of a doctorade is given, but is not mandatory. PostDocs are welcome. We would be very pleased if you could forward our inquiry to potential students and candidates. Thank you very much for supporting us, yours sincerely Christof Bueskens bueskens at math.uni-bremen.de Mitja Echim mitja.echim at uni-bremen.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From meysam.madadi at gmail.com Wed May 13 10:08:13 2020 From: meysam.madadi at gmail.com (Meysam Madadi) Date: Wed, 13 May 2020 16:08:13 +0200 Subject: Connectionists: [CfP] Ready for NeurIPS 2020 3D + texture garment reconstruction competition? Message-ID: Dear colleague, We are happy to announce the starting of our NeurIPS 2020 3D + texture garment reconstruction competition. Sorry for multiple copies. What is the competition about? Humans are important targets in many applications. Accurately tracking, capturing, reconstructing and animating the human body, face and garments in 3D are critical for human-computer interaction, gaming, special effects and virtual reality. In the past, this has required extensive manual animation. Regardless of the advances in human body and face reconstruction, still modeling, learning and analyzing human dynamics need further attention. In this competition we plan to push the research in this direction, e.g. understanding human dynamics in 2D and 3D, with special attention to garments. We provide a large-scale dataset (more than 2M frames) of animated garments with variable topology and type. The dataset contains paired RGB images with 3D garment vertices in a sequence. We paid special care to garment dynamics and realistic rendering of RGB data, including lighting, fabric type and texture. We designed three tracks so participants can compete to develop the best method to perform 3D garment reconstruction and texture estimation in a sequence from (1) 3D garments and (2) RGB images. More details are available here . Why is it important? There has been a growing interest in the topic recently, both from a research or industrial point of view. However, available datasets have been limited in terms of either the number of samples or garment complexity and topology, body shape, pose and garment dynamics (a comparison of available datasets can be seen here ). A large-scale benchmark dataset has been a demand to better study the topic. This competition provides a great opportunity to study state-of-the-art and further push the research. Details of the dataset can be seen here . Why is it interesting to participate? - You can test your already available method on our benchmark dataset and compete with other state-of-the-art methods, - You can develop new ideas and submit your paper to NeurIPS Workshop/Competition Proceedings or any conference/journal of your choice, - You can win the competition, receive a certificate and attend NeurIPS to present your work. We provide travel grants to the top winning teams of each track. Also the best student approach will be awarded by one NVIDIA GPU. - All participants are candidates to be invited to write a joint paper along with the organizers. We plan to submit this paper to a top-tier conference/journal. Ready to hack? The schedule is available here . You have around 4 months to finish each track. You can enter the competition by registering at Codalab . Each track is accessible by the following links. - Track 1, 3D to 3D garment reconstruction - Track 2, RGB to 3D garment reconstruction - Track 3, RGB to 3D+Texture garment reconstruction NeurIPS competition event In the competition track (Fri, Dec 11 - Sat, Dec 12, detailed schedule will be released later) we will present challenge results and winning participants can present their approaches. We also have a confirmed list of invited speakers who are experts in the field of the competition: - Gerard Pons-Moll, Max Planck Institute for Informatics, - Kristen Grauman, University of Texas at Austin, - Stefanos Zafeiriou, Imperial College London, - Yebin Liu, Tsinghua University. Sponsors ChaLearn , Facebook Reality Labs , NVIDIA , Baidu Hope to see you soon in this great event! NeurIPS 2020 ChaLearn organizing team Meysam Madadi, Hugo Bertiche, Wafa Bouzouita, Isabelle Guyon, Sergio Escalera -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Wed May 13 13:46:42 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Wed, 13 May 2020 19:46:42 +0200 Subject: Connectionists: CFP: ECCV 2020 Advances in Image Manipulation (AIM) workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 8 CHALLENGES AIM: 2nd Advances in Image Manipulation workshop and challenges on real image super-resolution, efficient SR, extreme SR, relighting, extreme inpainting, learned ISP, Bokeh effect, video temporal SR In conjunction with ECCV 2020, Glasgow, UK Website: https://data.vision.ee.ethz.ch/cvl/aim20/ Contact: radu.timofte at vision.ee.ethz.ch SCOPE Image manipulation is a key computer vision tasks, aiming at the restoration of degraded image content, the filling in of missing information, or the needed transformation and/or manipulation to achieve a desired target (with respect to perceptual quality, contents, or performance of apps working on such images). Recent years have witnessed an increased interest from the vision and graphics communities in these fundamental topics of research. Not only has there been a constantly growing flow of related papers, but also substantial progress has been achieved. Each step forward eases the use of images by people or computers for the fulfillment of further tasks, as image manipulation serves as an important frontend. Not surprisingly then, there is an ever growing range of applications in fields such as surveillance, the automotive industry, electronics, remote sensing, or medical image analysis etc. The emergence and ubiquitous use of mobile and wearable devices offer another fertile ground for additional applications and faster methods. This workshop aims to provide an overview of the new trends and advances in those areas. Moreover, it will offer an opportunity for academic and industrial attendees to interact and explore collaborations. This workshop builds upon the success of the Advances in Image Manipulation (AIM) workshop at ICCV 2020, the Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018, the workshop and Challenge on Learned Image Compression (CLIC) editions at CVPR 2018, 2019 and 2020 and the New Trends in Image Restoration and Enhancement (NTIRE) editions: at CVPR 2017, 2018, 2019 and 2020 and at ACCV 2016. Moreover, it relies on the people associated with the PIRM, CLIC, and NTIRE events such as organizers, PC members, distinguished speakers, authors of published papers, challenge participants and winning teams. TOPICS Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to: ? Image-to-image translation ? Video-to-video translation ? Image/video manipulation ? Perceptual manipulation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation ? Perceptual enhancement ? Multimodal translation ? Depth estimation ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Aerial and satellite imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video manipulation on mobile devices ? Image/video restoration and enhancement on mobile devices ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 14 pages (excluding references) in ECCV style. The paper format must follow the same guidelines as for all ECCV submissions. https://eccv2020.eu/author-instructions/ The review process is double blind. Authors do not know the names of the chair/reviewers of their papers. Reviewers do not know the names of the authors. Dual submission is allowed with ECCV main conference only. If a paper is submitted also to ECCV and accepted, the paper cannot be published both at the ECCV and the workshop. For the paper submissions, please go to the online submission site https://cmt3.research.microsoft.com/AIMWC2020 Accepted and presented papers will be published after the conference in the ECCV Workshops Proceedings. The author kit provides a LaTeX2e template for paper submissions. Please refer to the example for detailed formatting instructions. If you use a different document processing system then see the ECCV author instruction page. Author Kit: https://eccv2020.eu/wp-content/uploads/2020/01/eccv2020kit-1.zip WORKSHOP DATES ? Submission Deadline: July 10, 2020 ? Decisions: July 20, 2020 ? Camera Ready Deadline: July 30, 2020 IMAGE CHALLENGES (*ongoing!*): 1. Bokeh effect simulation (tracks: on smartphone GPU, on CPU) 2. Learned ISP (RAW to RGB mapping) (tracks: fidelity, perceptual) 3. Real super-resolution (tracks: x2, x3, x4) 4. Relighting (tracks: any to one, any to any relighting, illumination estimation) 5. Efficient super-resolution 6. Extreme inpainting (tracks: classic, semantic guidance) VIDEO CHALLENGES (*ongoing!*): 1. Video temporal super-resolution (frame interpolation) 2. Video extreme super-resolution (tracks: fidelity, perceptual) PARTICIPATION To learn more about the challenges and to participate: https://data.vision.ee.ethz.ch/cvl/aim20/ CHALLENGES DATES ? Release of train data: May 05, 2020 ? Validation server online: May 15, 2020 ? Competitions end: July 10, 2020 ORGANIZERS - Radu Timofte, Andrey Ignatov, Kai Zhang, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Andres Romero (ETH Zurich, Switzerland) - Luc Van Gool (KU Leuven, Belgium and ETH Zurich, Switzerland) - Wangmeng Zuo, Hannan Lu (Harbin Institute of Technology, China) - Shuhang Gu (University of Sydney, Australia) - Ming-Hsuan Yang (University of California at Merced and Google, US - Majed El Helou, Ruofan Zhou (EPFL, Switzerland) - Kyoung Mu Lee, Seungjun Nah, Sanghyun Son, Jaerin Lee (Seoul National University, Korea) - Eli Shechtman (Adobe Research, US) - Evangelos Ntavelis, Siavash Bigdeli (CSEM, Switzerland) - Liang Lin, Weipeng Xu (Sun Yat-Sen University, China) - Ming-Yu Liu (Nvidia, US) - Roey Mechrez (BeyondMinds and Technion, Israel) SPEAKERS (TBA) SPONSORS We are looking for sponsors! Please let us know if interested CONTACT Email: radu.timofte at vision.ee.ethz.ch Website: https://data.vision.ee.ethz.ch/cvl/aim20/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Wed May 13 17:45:54 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 13 May 2020 23:45:54 +0200 Subject: Connectionists: CFP: Software and System Engineering (SSE); Deadline 29.05.2020; TELE-presentation posisble In-Reply-To: <35fbc884-4da2-d58e-51f4-18c6bbbe2305@ibspan.waw.pl> References: <35fbc884-4da2-d58e-51f4-18c6bbbe2305@ibspan.waw.pl> Message-ID: CALL FOR PAPERS *********************************************************************************** Track 5: Software and System Engineering (SSE) https://www.fedcsis.org/2020/sse Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020) Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ *********************************************************************************** COVID-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. Nevertheless, we would like to stress that in case of inability to be physically present at the FedCSIS Conference, due to travel restrictions, the FedCSIS paper authors will be allowed to remotely present their papers. FedCSIS organizers *********************************************************************************** AIMS & SCOPE SSE is a FedCSIS conference track aiming at integrating and creating synergy between technical sessions that thematically subscribe to the discipline of software engineering. The track emphasizes the issues relevant to developing and maintaining software systems that behave reliably, efficiently and effectively. This track investigates both established traditional approaches and modern emerging approaches to large software production and evolution. For decades, it is still an open question in software industry, how to provide fast and effective software process, and how to come to the software systems, embedded systems, autonomous systems, or cyber-physical systems that will address the open issue of supporting information management process in many, particularly complex organization systems. Even more, it is a hot issue how to provide a synergy between systems in common and software services as mandatory component of each modern organization, particularly in terms of IoT, Big Data, and Industry 4.0 paradigms. In recent years, we are the witnesses of great movements in the area of software and system engineering (SSE). Such movements are both of technological and methodological nature. By this, today we have a huge selection of various technologies, tools, and methods in SSE as a discipline that helps in a support of the whole information life cycle in organization systems. Despite that, one of the hot issues in practice is still how to effectively develop and maintain complex systems from various aspects, particularly when software components are crucial for addressing declared system goals, and their successful operation. It seems that nowadays we have great theoretical potentials for application of new and more effective approaches in SSE. However, it is more likely that real deployment of such approaches in industry practice is far behind their theoretical potentials. The main goal of Track 5 is to address open questions and real potentials for various applications of modern approaches and technologies in SSE so as to develop and implement effective software services in a support of information management and system engineering. We intend to address interdisciplinary character of a set of theories, methodologies, processes, architectures, and technologies in disciplines such as: Software Engineering Methods, Techniques, and Technologies, Cyber-Physical Systems, Lean and Agile Software Development, Design of Multimedia and Interaction Systems, Model Driven Approaches in System Development, Development of Effective Software Services and Intelligent Systems, as well as applications in various problem domains. We invite researchers from all over the world who will present their contributions, interdisciplinary approaches or case studies related to modern approaches in SSE. We express an interest in gathering scientists and practitioners interested in applying these disciplines in industry sector, as well as public and government sectors, such as health care, education, or security services. Experts from all sectors are welcomed. Track 5 includes technical sessions (for more information check their individual WWW sites): * Advances in Software and System Engineering (ASSE'20) * Cyber-Physical Systems (7th Workshop IWCPS-7) * 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-40) There is a possibility of selecting extended versions of the best papers from Track 5 presented during the conference for potential inclusion in the journals: ComSIS, ISI IF(2018) = 0.620, and COLA, ISI IF(2017) = 0.971 IMPORTANT DATES Paper submission (sharp / no extension): May 29, 2020 Position paper submission: June 23, 2020 Author notification: July 15, 2020 Final paper submission and registration: July 31, 2020 Conference date: September 6-9, 2020 SUBMISSION GUIDLINES: FedCSIS announces two separate calls for papers, with the deadlines for submissions about three weeks apart: Call for Regular Papers and Call for Position Papers. Papers submitted within the Call for Regular Papers can be accepted, by the event?s Program Committee, in one of the three categories: full papers, short papers or communication papers. Full and short papers constitute Proceedings of the FedCSIS conference ? they are published electronically in a volume of ?Annals of Computer Science and Information Systems? (ACSIS) and are submitted for inclusion in the IEEE Xplore Digital Library. ACSIS Volumes with Proceedings of the FedCSIS conference are submitted for indexation in Web of Science, SCOPUS, DBLP, Index Copernicus and other indexing services (see, Indexation for more details). Communication papers and Position papers are published in separate ACSIS volume(s) and they are not submitted to the IEEE Xplore DL. For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions TRACK CHAIRS: Ivan Lukovic, University of Novi Sad, Serbia Geylani Kardas, Ege University International Computer Institute, Turkey Manuel Mazzara, Innopolis University, Russia -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From terry at salk.edu Wed May 13 22:32:19 2020 From: terry at salk.edu (Terry Sejnowski) Date: Wed, 13 May 2020 19:32:19 -0700 Subject: Connectionists: NEURAL COMPUTATION - May, 2020 In-Reply-To: <199610101607.JAA06289@helmholtz.salk.edu> Message-ID: Neural Computation - Volume 32, Number 5 - May 1, 2020 Available online for download now: http://www.mitpressjournals.org/toc/neco/32/5 http://cognet.mit.edu/content/neural-computation ----- Review A Survey on Deep Learning for Multimodal Data Fusion Li Peng, Ph. D, Zhikui Chen, Jing Gao, and Jianing Zhang Letters Performance Limitations in Sensorimotor Control: Tradeoffs Between Neural Computation and Accuracy in Tracking Fast Movements Shreya Saxena, Sridevi V. Sarma, and Munther Dahleh Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline Induced Epileptiform Activity Manuel Ciba, Robert Bestel, Christoph Nick, Guilherme Ferraz de Arruda, Thomas Peron, Comin Cesar Henrique, Luciano Costa, Francisco Aparecido Rodrigues, and Christiane Thielemann Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes Asieh Abolpour Mofrad, Phd, Anis Yazidi, Hugo Lewi Hammer, and Erik Arntzen The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models Michael C Burkhart, David M. Brandman, Brian Franco, Leigh R Hochberg, and Matthew T. Harrison The Stochastic Delta Rule (SDR): Faster and More Accurate Deep Learning Through Adaptive Weight Noise Noah Frazier-Logue, Stephen Jose Hanson ------------ From ioannakoroni at csd.auth.gr Fri May 15 04:53:29 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Fri, 15 May 2020 11:53:29 +0300 Subject: Connectionists: CVML live Web lectures 20th May 2020: 1) Motion estimation, 2) Introduction to Machine Learning. Change of CVML web lectures date/time. References: <002f01d62a8c$68968010$39c38030$@csd.auth.gr> Message-ID: <018c01d62a96$4ed76bd0$ec864370$@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 have launched the live CVML Web lecture series that covers very important Computer Vision/Machine Learning topics. Two new upcoming 45 min lectures will take place soon: 1) Motion estimation 2) Introduction to Machine Learning New!: Date/time: Wednesday 20th May 2020, 17:00-18:30 EEST for both lectures (7:00-8:30 am California time, 10:00-11:30 am New York time, 22:00-23:30 Beijing time). Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Registration for asynchronous access to CVML live Web lecture material (video, pdf/ppt) for any past/present lecture can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lecture abstracts 1) Motion estimation, Wednesday 20th May 2020, 17:00-17:45 EEST Summary: Motion estimation principals will be analyzed. Initiating form 2D and 3D motion models, displacement estimation as well as quality metrics for motion estimation will subsequently be detailed. One of the basic motion estimation techniques, namely block matching, will also be presented, along with three alternative, faster methods. A good overview of deep neural notion estimation will be presented. Phase correlation will be described, next followed by optical flow equation methods. Finally, a brief introduction to object detection and tracking will conclude the lecture. 2) Introduction to Machine Learning, Wednesday 20th May 2020, 17:45-18:30 EEST Summary: This lecture will cover the basic concepts of Machine Learning. Supervised, self-supervised, unsupervised, semi-supervised learning. Multi-task Machine Learning. Classification, regression. Object detection, Object tracking. Clustering. Dimensionality reduction, data retrieval. Artificial Neural Networks. Adversarial Machine Learning. Generative Machine Learning. Temporal Machine learning (Recurrent Neural Networks). Continual Learning (few-shot learning, online learning). Reinforcement Learning. Adaptive learning (Knowledge Distillation, Domain adaptation, Transfer learning, Activation Pattern Analysis, Federated learning/Collaborative learning, Ensemble learning). Precise mathematical definitions of ML tasks will be presented. 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. His current interests are in the areas of machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 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 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 31000+ citations to his work and h-index 83+ (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/. Lecturing record of Prof. I. Pitas: He was Visiting/Adjunct/Honorary Professor/Researcher and lectured at several Universities: University of Toronto (Canada), University of British Columbia (Canada), EPFL (Switzerland), Chinese Academy of Sciences (China), University of Bristol (UK), Tampere University of Technology (Finland), Yonsei University (Korea), Erlangen-Nurnberg University (Germany), National University of Malaysia, Henan University (China). He delivered 90 invited/keynote lectures in prestigious international Conferences and top Universities worldwide. He run 17 short courses and tutorials on Autonomous Systems, Computer Vision and Machine Learning, most of them in the past 3 years in many countries, e.g., USA, UK, Italy, Finland, Greece, Australia, N. Zealand, Korea, Taiwan, Sri Lanka, Bhutan. Relevant links: a) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el b) AIIA Lab www.aiia.csd.auth.gr General information: 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 (delivered 2nd May 2020) Stereo and Multiview imaging (delivered 9th May 2020) Structure from Motion (delivered 9th May 2020) 2D convolution and correlation algorithms 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 Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml Virus-free. www.avast.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From xavier.hinaut at inria.fr Fri May 15 06:21:23 2020 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Fri, 15 May 2020 12:21:23 +0200 Subject: Connectionists: PhD position in computational neuroscience and robotics Message-ID: <803F570D-A9D1-4684-8931-84DA458428A8@inria.fr> A PhD position is available at the Inria Bordeaux Sud-Ouest center and the Institute of Neurodegenerative Disease in Bordeaux, France. What: PhD position in computational neuroscience and robotics Where: Inria, Bordeaux, France When: October 2020 (3 years duration) Who: Xavier Hinaut & Fr?d?ric Alexandre Application deadline: May 22th (22/05/2020) How to apply: https://jobs.inria.fr/public/classic/en/offres/2020-02637 Title of the PhD topic ================= NewSpeak: Neuro-computational models of language comprehension and production grounded in robots Keywords ================= Recurrent Neural Network (RNN), Reservoir Computing, Developmental Language Learning, Neuro-Robotics, Multimodal Language Grounding, Computational Neuroscience, Reinforcement Learning Candidate profile ================= - Good background in maths and computer science; - A strong interest for neuroscience and the physiological processes underlying learning; - Python programming with experience in scientific libraries Numpy/Scipy (or similar coding language: matlab, etc.); - Experience in machine learning or data mining is a preferred; - Independence and ability to manage a project; - Good English reading/speaking skills. Proposed research ================= We target to embody models into robots that will developmentally ground language. The grounding of semantics should come from the robot experiencing the world through its interactions with humans and the physical world. The goals are (1) to test hypotheses with biologically plausible language learning models with the Nao robot, (2) to extend the current model with unsupervised training and by reinforcement learning, and (3) to propose a new kind of Generative Adversarial Networks (GANs) for developmental language learning conditioned by grounded modalities such as vision. In order to model how a sentence can be processed, word by word (Hinaut & Dominey 2013) or even phoneme by phoneme (Hinaut 2018), the use of recurrent (artificial) neural networks, such as Reservoir Computing, offers interesting advantages. In particular the possibility to compare the dynamics of the model with data from neuroscience experiments (EEG, fMRI, ...). This paradigm allows to learn with few learning examples, and offers negligible runtime for human-robot interactions. The use of linguistic models with robots is not only useful to validate the models in real conditions, it also allows to test other hypotheses, notably on the anchoring of the language or the emergence of symbols. This involves finding out how a learning agent can link and categorise physical stimuli (vision, hearing, proprioception, etc.) to make the correspondence with symbols (Harnard 1990), or even to make these symbols emerge from stimuli coming from sensors (Taniguchi et al. 2016). We aim that a robot could process language from morphemes to sentences, similarly as a child, in order to better model how children acquire language. One aim is to obtain symbolic representations that are a composition of multimodal grounded representations. We will experiment how the newly developed language model will be able to learn to understand utterances by exploring which meanings the morphemes, words, ... can have based on other modalities of the robot (e.g. vision, proprioception). Starting from preliminary results (Juven & Hinaut 2020), we will first consider merging the representations from vision with a pre-trained CNN (Convolutional Neural Network). Then, reinforcement learning experiments will explore how the robot can learn the meaning of sentences: first by doing random actions for any user utterance, and then bootstrap from the user?s feedback. We will use a concrete corpus of sentences based on actions a robot can do (Hinaut & Twiefel 2019). We will implement several variants of language models: (1) extension of the reservoir computing model linked with grounded CNN, (2) adapt such model to the GAN paradigm in order to couple language comprehension and production in a self-learning generative mechanism (thus creating more biologically plausible GANs), (3) explore unsupervised (cross-situational learning) and reinforcement learning with these models. In parallel, we will adapt models features and behaviours to the ones observed in language acquisition experiments in psychology, and neural evidences in neuro-linguistic studies. In particular, we will explore how the models could shed light on language developmental impairments. We will run models in simulated humanoid robots and in a Nao robot. More information ============ More information is available on the application web page: https://jobs.inria.fr/public/classic/en/offres/2020-02637 Questions can be asked by email to Xavier Hinaut (xavier.hinaut at inria.fr). Xavier Hinaut Inria Researcher (CR) Mnemosyne team, Inria LaBRI, Universit? de Bordeaux Institut des Maladies Neurod?g?n?ratives +33 5 33 51 48 01 www.xavierhinaut.com From cgf at isep.ipp.pt Fri May 15 11:11:13 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Fri, 15 May 2020 16:11:13 +0100 Subject: Connectionists: CFP [Extended Deadline] : IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD2020) - Deadline Extended (May 22, 2020) Message-ID: <3d4312ff-3111-d081-3df1-816557db8265@isep.ipp.pt> SBAC-PAD 2020 32nd IEEE International Symposium on Computer Architecture and High Performance Computing September 8-11, 2020 Porto, Portugal sbac2020 at dcc.fc.up.pt http://www2.sbc.org.br/sbac/ (Historical acceptance rate). ---------------------------------------------------------------------------- ** NEW ** SBAC-PAD2020 will be held online (synchronous and/or asynchronous) ---------------------------------------------------------------------------- We are monitoring the Coronavirus disease (COVID-19) outbreak and following the recommendations/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 September, we will make SBAC-PAD2020 an online (synchronous and/or asynchronous) event and we will maintain the regular publication activities, i.e., accepted papers will be eligible for publication at the IEEE Xplore and the authors of the selected papers will be invited to submit an extended version of their work for publication on the Journal of Parallel and Distributed Computing (JPDC). The assessment of the outbreak's impact will be done until July, 31st. By that time, we will make an announcement, on the SBAC-PAD2020's webpage, about its schedulement. Stay safe! ---------------------------------------------------------------------------- Aims and Scope ---------------------------------------------------------------------------- SBAC-PAD is an international symposium, started in 1987, which has continuously presented an overview of new developments, applications, and trends in parallel and distributed computing technologies. SBAC-PAD is open for faculty members, researchers, specialists and graduate students around the world. In this edition, the symposium will be held at the University of Porto, Porto, Portugal. The city of Porto is famous for its Port wine and beautiful scenery, architecture and cultural events. More information about the conference can be found at https://sbac2020.dcc.fc.up.pt/ ---------------------------------------------------------------------------- Paper Submission ---------------------------------------------------------------------------- Authors are invited to submit original manuscripts on a wide range of high-performance computing areas, including computer architecture, systems software, languages and compilers, algorithms and applications. Topics of interest include (but are not limited to): -Application-specific systems -Architecture and Programming Support for Emerging Domains (Big Data, Deep Learning) -Benchmarking, performance measurements, and analysis -Cloud, Grid, cluster, and peer-to-peer systems -Embedded and pervasive systems -GPUs, FPGAs and other accelerator architectures -Languages, compilers, and tools for parallel and distributed programming -Modeling and simulation methodology -Operating systems and virtualization -Parallel and distributed systems, algorithms, and applications -Power and energy-efficient systems -Processor, cache, memory, storage, and network architecture -Real-world applications and case studies -Reconfigurable, resilient and fault-tolerant systems Submissions must be in English, 8 pages maximum, following the IEEE conference formatting guidelines. To be published in the conference proceedings and to be eligible for publication at the IEEE Xplore, at least one of the authors must register at the full rate and present her/his work. Authors may not use a single registration for multiple papers. Authors of selected papers will be invited to submit extended versions of their papers for publication on the Journal of Parallel and Distributed Computing. Paper submission will be done through EasyChair: https://www.easychair.org/conferences/?conf=sbacpad2020 ---------------------------------------------------------------------------- Important Dates ---------------------------------------------------------------------------- Abstract deadline: May 22, 2020 Paper deadline: May 29, 2020 Reviewing period: May 30 - June 28, 2020 Rebuttal period: June 29 - July 4, 2020 Author notification: July 6, 2020 Camera-ready submission: July 13, 2020 ---------------------------------------------------------------------------- Organizing Committee ---------------------------------------------------------------------------- General Chairs In?s Dutra, ines at dcc.fc.up.pt (University of Porto, Portugal) Jorge Barbosa, jbarbosa at fe.up.pt (University of Porto, Portugal) Miguel Areias, miguel-areias at dcc.fc.up.pt (University of Porto, Portugal) Program Co-chairs Jorge Barbosa (University of Porto, Portugal) Laurent Lef?vre (Inria, ENS Lyon, University of Lyon, France) Lucia Drummond (Universidade Federal Fluminense, Brazil) Track Chairs Computer Architecture Chair: Jos? Moreira, IBM Thomas J. Watson Research Center, USA Edson Borin, University of Campinas, Brazil Felipe Fran?a, State University of Rio de Janeiro, Brazil Gabriel Falc?o, University of Coimbra, Portugal Jairo Panetta, Aeronautics Institute of Technology, Brazil Jean-Luc Gaudiot, University of California, USA Jose Reyes, University of Glasgow, UK Leandro Santiago, Federal Fluminense University, Brazil Lluc Alvarez, Barcelona Supercomputing Center, Spain Nuno Roma, University of Lisbon, Portugal Peter Hofstee, IBM Austin Research Laboratory, USA Rodolfo Azevedo, University of Campinas, Brazil Serif Yesil, University of Illinois, USA Wagner Meira, Federal University of Minas Gerais, Brazil Networking and Distributed Systems Chair: Jes?s Carretero, University Carlos III of Madrid, Spain Alexey Lastovetsky, University College Dublin, Ireland Angelos Bilas, FORTH-ICS and University of Crete, Greece Bruno Schulze, National Laboratory for Scientific Computing (LNCC), Brazil Carla Osthoff Barros, National Laboratory for Scientific Computing (LNCC), Brazil Domenico Talia, University of Calabria, Italy Emmanuel Jeannot, INRIA, France Jose Luis Gonzalez, Instituto Tecnol?gico de Ciudad Valles (ITV), M?xico Leonel Sousa, Universidade de Lisboa, Portugal Marco Aldinucci, University of Torino, Italy Silvina Caino, University of Tennessee, USA Parallel Applications and Algorithms Chair: Alba Melo, University of Bras?lia, Brazil Alfredo Goldman, University of S?o Paulo, Brazil Ananth Kalyanaraman, Washington State University, USA Anne Benoit, ENS Lyon?LIP, France Antonio J. Pe?a, Barcelona Supercomputing Center (BSC), Spain Bertil Schmidt, University of Mainz, Germany Cristiana Bentes, State University of Rio de Janeiro, Brazil Cristina Boeres, Federal Fluminense University, Brazil Edson Caceres, Federal University of Mato Grosso do Sul, Brazil George Teodoro, Federal University of Minas Gerais, Brazil Gianfranco Bilardi, University of Padova, Italy Jose Nelson Amaral, University of Alberta, Canada Luciana Arantes, Universit? Pierre et Marie Curie-Paris, France Ricardo Rocha, University of Porto, Portugal Viktor Prasanna, University of Southern California, USA Performance Evaluation Chair: Ariel Oleksiak, Pozna? Supercomputing and Networking Center, Poland TBA System Software Chair: Jidong Zhai, Tsinghua University, China Ang Li, Pacific Northwest National Laboratory, USA Chi Zhou, Shenzhen University, China Christoph Kessler, Link?ping University, Sweden Clemens Grelck, University of Amsterdam, Netherlands Dandan Song, Beijing Institute of Technology, China Dazhao Cheng, University of North Carolina at Charlotte, USA Feng Zhang, Renmin University of China, China Guangyu Sun, Peking University, China Haikun Liu, Huazhong University of Science and Technology, China Mingyu Gao, Tsinghua University, China Pradeep Kumar, William & Mary, USA Quan Chen, Shanghai Jiaotong University, China Shanjiang Tang, Tianjin University, China Shigang Li, ETH Zurich, Switzerland Teng Yu, Tsinghua University, China Zeyi Wen, National University of Singapore, Singapore Zhaoguo Wang, Shanghai Jiaotong University, China 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 mihaela.rozman at tuwien.ac.at Fri May 15 10:46:32 2020 From: mihaela.rozman at tuwien.ac.at (Rozman, Mihaela) Date: Fri, 15 May 2020 14:46:32 +0000 Subject: Connectionists: Fully funded PhD in Networking and Communication Technology at the University of Vienna, Austria ***Deadline: June 7, 2020*** In-Reply-To: <1589553716459.46014@tuwien.ac.at> References: <1589553716459.46014@tuwien.ac.at> Message-ID: <1589553992092.68067@tuwien.ac.at> The Communication Technologies group of the University of Vienna is looking for a motivated student interested in pursuing a PhD on developing the foundations of the next generation of reliable networks: networks which are highly automated, and verify and correct themselves autonomously, relying on formal methods. Communication networks have become a critical infrastructure of our society and hence come with stringent requirements on dependability. We believe that automation can improve reliability: many network outages these days are due to human errors. WHAT WE OFFER -The research position is at the Faculty of Computer Science at the University of Vienna and is fully funded.(Employment contract) -The candidate also has the opportunity to collaborate with Aalborg University, Denmark, and engage into longer visits, if she/he is interested: Aalborg University is a project partner. -Additionally, the successful candidate will have the opportunity to collaborate with the doctoral program Logical Methods in Computer Science (LogiCS), run by TU Wien, TU Graz and JKU Linz, and funded by the Austrian Science Fund. -We offer a productive research environment and excellent contacts to other universities as well as industry interested in this application domain. While our goal is to lay the theoretical foundations of such networks, we also plan to prototype our ideas and ideally make a practical contribution. For an idea on the kind of research we are doing in this area, please see the sample publications attached below. ELIGIBILITY The candidate should have a strong background in formal methods, model checking and algorithms, and be knowledgeable about communication networks, with a strong interest in this application domain. APPLICATION To apply, please send your: -Academic curriculum vitae -motivation letter, and -reference letters to Prof. Stefan Schmid by email, or use the online portal at https://univis.univie.ac.at/ausschreibungstellensuche/ Please do not hesitate to contact Stefan Schmid for any further information: ta.ca.eivinu at dimhcs_nafets Deadline: June 7, 2020 Starting date: ideally as soon as possible, latest in October 2020. SAMPLE PUBLICATIONS P-Rex: Fast Verification of MPLS Networks with Multiple Link Failures Jesper Stenbjerg Jensen, Troels Beck Krogh, Jonas Sand Madsen, Stefan Schmid, Jiri Srba, and Marc Tom Thorgersen. 14th ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT), Heraklion/Crete, Greece, December 2018. https://www.univie.ac.at/ct/stefan/conext18.pdf Polynomial-Time What-If Analysis for Prefix-Manipulating MPLS Networks Stefan Schmid and Jiri Srba. 37th IEEE Conference on Computer Communications (INFOCOM), Honolulu, Hawaii, USA, April 2018. https://www.univie.ac.at/ct/stefan/infocom18prefixnet.pdf HIGHEST QUALITY OF LIFE The Austrian city of Vienna, is located close to the Alps and surrounded by beautiful nature, and provides an exceptionally high quality of life, with a vibrant cultural scene, numerous cultural events, world-famous historical sites, a large international community, varied cuisine and famous coffee houses. If you decide to be located in Vienna, the city features a vibrant and excellence-driven research landscape, with several leading research institutes (e.g., TU Wien, University of Vienna, IST, AIT, SBA) and universities continuously establishing collaborations in various fields. Finally, Vienna has been consistently ranked by Mercer over the last years the best city for quality of life worldwide. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Fri May 15 11:56:44 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Fri, 15 May 2020 18:56:44 +0300 Subject: Connectionists: 3rd 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 From xiaochun.cheng at gmail.com Sat May 16 15:03:52 2020 From: xiaochun.cheng at gmail.com (Xiaochun Cheng) Date: Sat, 16 May 2020 20:03:52 +0100 Subject: Connectionists: Special Issue on "Intelligent Perception, Application and Security Mechanism in the Internet of Things" - Last Call Message-ID: <003901d62bb4$bdbcc120$39364360$@gmail.com> Special Issue on "Intelligent Perception, Application and Security Mechanism in the Internet of Things", https://www.mdpi.com/journal/applsci/special_issues/ipasm_iot Applied Sciences (ISSN 2076-3417), by : 28 May 2020. 2018 Impact Factor: 2.217. Indexed in SCI. JCR Q2. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Peter.Stone at sony.com Sat May 16 15:08:03 2020 From: Peter.Stone at sony.com (Stone, Peter) Date: Sat, 16 May 2020 19:08:03 +0000 Subject: Connectionists: [Jobs] Sony AI hiring in Reinforcement Learning, Machine Learning, Computer Vision and Robotics - location flexible Message-ID: Sony AI is seeking highly skilled and motivated individuals, with expertise in reinforcement learning, computer vision, machine learning, and/or robotics, for immediate hire. About Sony AI =========== Sony AI is dedicated to using AI to help unleash human imagination and creativity. We believe in researching and developing AI techniques that empower the imagination and creativity of artists, makers and creators around the world. Our aim is to advance AI so that it augments, and works in harmony with, humans to benefit society. Sony AI?s research and development are driven through agile, world-class AI flagship projects that motivate the creation of AI technologies in both the virtual and physical spaces. The initial three flagship projects are in computer gaming; sensing and imaging for robotics; and gastronomy. Other projects will be added over time. We aim to leverage our core expertise in sensing, computer vision, machine learning, reinforcement learning, and robotics towards novel research and applications. All Sony AI research projects will be pursued in close collaboration with the relevant Sony Group business units, including those in gaming, imaging, and sensing. Our Values ========= We believe that extraordinary innovation requires diversity in people and methods; that AI should be developed and deployed in a responsible, fair, and transparent way; and that all technology should serve social good. Positions ======== We primarily seek ambitious and dedicated research scientists and engineers. The ideal candidate will 1) have extensive AI expertise, especially in reinforcement learning, deep learning, computer vision, generative models, and/or robotics; 2) hold a PhD (research scientists) or at least an MSc (engineers) or equivalent experience in a related field. 3) have strong system-building skills; 4) be passionate about helping us innovate at the cutting edge of machine learning and robotics; 5) have strong interpersonal and communication skills. The following positions are open for immediate application. Some additional positions are expected to open soon. Open Roles at Sony AI Tokyo: (Senior) Research Scientist (RL, CV, ML, robotics), (Senior) Software Engineer (CV, ML), (Senior) Robotics Engineer, Sony AI Tokyo, Project Manager: https://careers.i-web.jpn.com/s/applicant/entry/baitai-entry/entrycd/global Open Roles at Sony AI America (location flexible) Research Scientist (RL): https://sonyglobal.wd1.myworkdayjobs.com/SonyGlobalCareers/job/Remote---Massachusetts/Research-Scientist_JR-102452 Senior Research Scientist (RL): https://sonyglobal.wd1.myworkdayjobs.com/SonyGlobalCareers/job/Remote---Massachusetts/Senior-Research-Scientist_JR-102451 For information about roles in robotics in America, please contact Peter Stone at peter.stone at sony.com Open Roles at Sony AI Zurich Senior Research Scientist (robotics, CV): https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyGlobalCareers/job/Schlieren/Senior--Robotics--Research-Scientist_JR-102456 Senior Robotics Engineer: https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyGlobalCareers/job/Schlieren/Senior-Robotics-Engineer_JR-102457 Project Manager: https://sonyglobal.wd1.myworkdayjobs.com/en-US/SonyGlobalCareers/job/Schlieren/Project-Manager_JR-102458?source=Linkedin Our Team ======== Our team is led by: - Hiroaki Kitano, - Peter Stone, - Masahiro Fujita, - Michael Spranger, - Pete Wurman, and - Peter D?rr. The team also includes many of the leading minds in reinforcement learning, computer vision, other types of machine learning, and robotics. Timeline ======= Thanks to substantial strategic investment by Sony Corporation, Sony AI is prepared to hire qualified individuals for immediate start. Individuals who prefer to start later are also encouraged to apply. Location ======= We are hiring in our Tokyo office, in our Zurich office, and at Sony AI America. Sony AI America is a fully distributed division, so location is flexible. Contact ======= Webpage: https://www.ai.sony/ If you have questions, contact Michael Spranger at michael.spranger at sony.com -- Peter Stone Executive Director | Sony AI America Senior VP | Sony Corporation of America (512) 810-3373 | peter.stone at sony.com LinkedIn -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.jaeger at rug.nl Sat May 16 13:40:17 2020 From: h.jaeger at rug.nl (Herbert Jaeger) Date: Sat, 16 May 2020 19:40:17 +0200 Subject: Connectionists: =?utf-8?q?Two_PhD_positions_=284_years_each=29_?= =?utf-8?q?=E2=80=9EComputing_in_Nonlinear_Dynamical_Media=E2=80=9C_in_Gro?= =?utf-8?q?ningen=2C_Netherlands?= Message-ID: <394ae2e7-c9a6-503c-9b3b-6fce87cfcd2c@rug.nl> Within the European Innovative Training Network POST-DIGITAL (https://postdigital.astonphotonics.uk/), two full-salary, 4-year PhD positions are available at the University of Groningen in the MINDS research group (https://www.ai.rug.nl/minds/) of Herbert Jaeger. Details can be found on https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S0007NVP. The submission deadline is May 31, but applications will be considered until the positions are filled. The research of these two positions will blend into the general research lines in the MINDS group, revolving around developing formal methods and algorithms for ?brain-like?, non-digital computing in novel hardware systems based on nonlinear phenomena of various sorts. A pertinent catchword is ?neuromorphic computing?, but this will be abstractly interpreted to cover all non-classical computing methods which work in physical substrates that are characterized by stochasticity, continuous time, parallelism, spatiotemporal dynamics and other generic properties shared with biological brain matter. The three main selection criteria are: - the ability and inclination for mathematical formalization (with formalisms from machine learning, and/or dynamical systems, and/or formal logic, and/or theoretical computer science), - a strong interest in solving the riddles of information processing in complex ?brain-like? (very wide sense) dynamical systems, - openness for working in a very interdisciplinary setting. These PhD fellowships will benefit from a rather intense scheme of cross-lab internships, project workshops, and professional training camps across the POST-DIGITAL consortium, which comprises 16 academic and industrial partners. There are two formal eligibility criteria: 1. Applicants must be (at the first day of their POST-DIGITAL employment contract) in the first four years (full-time equivalent research experience) of their research career and have not been awarded a doctoral degree. 2. Applicants must not have resided or carried out their main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 3 years immediately before the recruitment date. The nationality of the applicant is of no concern. Applicants need not have a European nationality. All applications must be submitted through the ?Apply? button on https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S0007NVP. For pre-application inquiries please contact Dr. Herbert Jaeger Professor of Computing in Cognitive Materials Rijksuniversiteit Groningen Faculty of Science and Engineering - CogniGron Nijenborgh 9, 9747 AG Groningen email: h dot jaeger at rug dot nl web: www.ai.rug.nl/minds/ From Albrecht_Zimmermann at gmx.net Sat May 16 04:42:59 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Sat, 16 May 2020 10:42:59 +0200 Subject: Connectionists: 2nd CfP 2nd Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020) @ ECML PKDD Message-ID: An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Sat May 16 04:53:43 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht_Zimmermann at gmx.net) Date: Sat, 16 May 2020 10:53:43 +0200 Subject: Connectionists: 2nd CfP for Machine Learning and Data Mining for Sports Analytics (MLSA) @ ECML PKDD 2020 Message-ID: An HTML attachment was scrubbed... URL: From tommasi.t at gmail.com Sun May 17 19:37:10 2020 From: tommasi.t at gmail.com (Tatiana Tommasi) Date: Mon, 18 May 2020 01:37:10 +0200 Subject: Connectionists: CFP - ECCV Workshop on Transferring and Adapting Source Knowledge in Computer Vision & VisDA Challenge Message-ID: 7th Workshop on Transferring and Adapting Source Knowledge in Computer Vision and 4th VisDA Challenge In conjunction with European Conference on Computer Vision (ECCV) 2020 23 August 2020, Glasgow, UK Workshop website: https://sites.google.com/view/task-cv2020/home VisDA challenge website: http://ai.bu.edu/visda-2020/ ****************************** CALL FOR PAPERS This is the 7th annual workshop that brings together computer vision researchers interested in domain adaptation and knowledge transfer techniques. A key ingredient of the recent successes of computer vision methods is the availability of large sets of annotated data. However, collecting them is prohibitive in many real applications and it is natural to search for an alternative source of knowledge that needs to be transferred or adapted to provide sufficient learning support. Our workshop aims to bring together researchers in various sub-areas of Transfer Learning (TL) and Domain Adaptation (DA) for computer vision. ****************************** TOPICS ? TL/DA learning methods for challenging paradigms like unsupervised, incremental, open set, universal, online and federated learning ? TL/DA CNN architectures with new adaptation techniques, fine-tuning strategies, regularization approaches, weights transfer solutions etc. ? TL/DA focusing on specific computer vision tasks (e.g., image classification, object detection, semantic segmentation, retrieval, tracking, etc.) and applications (biomedical, robotics, multimedia, autonomous driving, etc.) ? TL/DA methods working at feature and pixel (generative) level as well as jointly applied with other learning paradigms such as reinforcement learning ? DA in case of sensor differences (e.g., low-vs-high resolution, power spectrum sensitivity, different RGB/Depth modalities) and compression schemes ? Datasets and protocols for evaluating TL/DA methods ? Going beyond TL/DA towards Domain Generalization (DG) ? Multi-Task, Zero- One- and Few-Shot Learning This is not a closed list, we welcome other interesting and relevant research for TASK-CV. ****************************** IMPORTANT DATES Submission deadline: July 10th, 2020 Author notification: July 26th, 2020 Camera-ready: August 15th, 2020 The contributions will consist in Extended Abstracts (EA) of 4 pages (including references) As tradition we will have a best paper award supported by our sponsors. ****************************** VISDA-2020 CHALLENGE This year the VisDA Challenge brings on board a new task, domain adaptive pedestrian re-identification. More challenging and practical settings are set, characterized by a synthetic-to-real domain adaptation procedure. ? May 1: training/validation data release; evaluation server open ? Jun 25: test data release ? Jul 25: final test result submission ? Team registration is open until July 25. ****************************** WORKSHOP ORGANIZERS: Tatiana Tommasi (Politecnico di Torino, Italy) Antonio M. Lopez (CVC & UAB, Spain) David Vazquez (Element AI, Canada) Gabriela Csurka (Naver Labs Europe, France) VISDA CHALLENGE ORGANIZERS: Kate Saenko (Boston University, USA) Liang Zheng (Australian National University, Australia) Xingchao Peng (Boston University, USA) Weijian Deng (Australian National University, Australia) -------------- next part -------------- An HTML attachment was scrubbed... URL: From kordjams at msu.edu Sun May 17 14:06:46 2020 From: kordjams at msu.edu (Kordjamshidi, Parisa) Date: Sun, 17 May 2020 18:06:46 +0000 Subject: Connectionists: [CFP] Third Workshop on Spatial Language Understanding (SpLU) @EMNLP-2020 Message-ID: --------------------------------------------------------------- First CALL FOR PAPERS ---------------------------------------------------------------- Third Workshop on Spatial Language Understanding (SpLU) @EMNLP-2020 [https://spatial-language.github.io] --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- One of the essential functions of natural language is to express spatial relationships between objects. The workshop aims to advance research on how spatial information is processed, extracted, understood and used in natural languages. Spatial language understanding is useful in many research areas and real-world applications including robotics, navigation, geographic information systems, traffic management, human-machine interaction, query answering and translation systems. Compared to other semantically specialized linguistic tasks, standardizing tasks related to spatial language seem to be more challenging as it is harder to obtain an agreeable set of concepts and relationships and a formal spatial meaning representation that is domain independent and that allows quantitative and qualitative reasoning. This has made research results on spatial language learning and reasoning diverse, task-specific and, to some extent, not comparable. Attempts to arrive at a common set of basic concepts and relationships as well as making existing corpora inter-operable, however, can help avoid duplicated efforts within as well as across fields and instead focus on further developments in the respective fields for automatic learning and reasoning. Existing qualitative and quantitative representation and reasoning models can be used for investigation of interoperability of machine learning and reasoning over spatial semantics. Research endeavors in this area could provide insights into many challenges of language understanding in general. Spatial semantics is also very well-connected and relevant to visualization of natural language and grounding language into perception, central to dealing with configurations in the physical world and motivating a combination of vision and language for richer spatial understanding. --------------------------------------------------------------- TOPICS OF INTEREST --------------------------------------------------------------- The topics include but not limited to: -Spatial meaning representations, ontologies, annotation schemes, linguistic corpora -Spatial information extraction from natural language -Spatial information extraction in robotics, navigational instructions -Text mining for spatial information in GIS systems -Quantitative and qualitative reasoning with spatial information -Spatial question answering -Extraction of spatial common sense knowledge -Visualization of spatial language in 2-D and 3-D (Combining spatial language & vision) -Spatial natural language generation -Grounded spatial language and dialogue systems --------------------------------------------------------------- IMPORTANT DATES --------------------------------------------------------------- Important Dates ? Submission Deadline: August 15th, 2020 ? Notification: September 29th, 2020 ? Camera Ready deadline: Oct 10, 2020 ? Workshop Day: November 19/20, 2020 --------------------------------------------------------------- INVITED SPEAKERS --------------------------------------------------------------- James Pustejovsky, Brandeis University Julia Hockenmaier, University of Illinois at Urbana-Champaign Yoav Artzi, Cornell University Douwe Kiela, Facebook --------------------------------------------------------------- SUBMISSION AND SELECTION PROCESS --------------------------------------------------------------- We encourage contributions with technical papers (EMNLP style, 8 pages without references) or shorter papers on position statements describing previously unpublished work or demos (EMNLP style, 4 pages maximum). EMNLP Style files are available [Here (https://2020.emnlp.org/files/emnlp2020-templates.zip)]. Please make submissions via Softconf [Here (https://www.softconf.com/emnlp2020/spatial-language/)]. Non-Archival option: EMNLP workshops are traditionally archival. To allow dual submission of work to SpLU and other conferences/journals, we are also including a non-archival track. Space permitting, these submissions will still participate and present their work in the workshop, will be hosted on the workshop website, but will not be included in the official proceedings. Please submit through softconf but indicate that this is a cross submission at the bottom of the submission form. --------------------------------------------------------------- ORGANIZING COMMITTEE --------------------------------------------------------------- Parisa Kordjamshidi, Michigan State University Archna Bhatia, Florida Institute for Human and Machine Cognition Malihe Alikhani, University of Pittsburgh Jason Baldrige, Google Mohit Bansal, UNC Chapel Hill Marie-Francine Moens, KU Leuven --------------------------------------------------------------- CURRENT PROGRAM COMMITTEE --------------------------------------------------------------- Steven Bethard, The University of Arizona Raffaella Bernardi, University of Trento Mehul Bhatt, ?rebro University - CoDesign Lab Yonatan Bisk, Carniege Mellon University Johan Bos, University of Groningen Joyce Chai, University of Michigan Angel Xuan Chang, Simon Fraser University Anthony Cohn, University of Leeds Guillem Collell, KU Leuven Simon Dobnik, University of Gothenburg Bonnie Dorr, IHMC Ekaterina Egorova, University of Zurich Zoe Falomir, Universitat Bremen Julia Hockenmaier, University of Illinois at Urbana-Champaign Bruno Martins, University of Lisbon Srini Narayanan, Google Inc. Mari Broman Olsen, Lionbridge AI Martijn van Otterlo, Tilburg University Manolis Savva, Stanford University Jesse Thomason, University of Washington Clare Voss, ARL --------------------------------------------------------------- CONTACT --------------------------------------------------------------- Feel free to contact Organizing Committee at splu-2020 at googlegroups.com. ------------------------------------------- ------------------------------------------------ Kordjamshidi, Parisa Assistant Professor Computer Science and Engineering Michigan State University http://www.cse.msu.edu/~kordjams/ From anna.gld at gmail.com Sun May 17 21:15:09 2020 From: anna.gld at gmail.com (Anna Rogers) Date: Sun, 17 May 2020 21:15:09 -0400 Subject: Connectionists: CALL FOR SYSTEM DEMONSTRATIONS - EMNLP 2020 Message-ID: <88502a33-0b84-de6f-e71d-3976a0db20c3@gmail.com> (Apologies for cross-posting) ===================================== EMNLP 2020 Call For System Demonstrations ===================================== The EMNLP 2020 System Demonstration Program Committee invites proposals for the Demonstrations Program. Demonstrations may range from early research prototypes to mature production-ready systems. Of particular interest are publicly available open-source or open-access systems. We additionally strongly encourage demonstrations of industrial systems that are technologically innovative given the current state of the art of theory and applied research in computational linguistics. Each submitted demonstration must be accompanied by a submitted paper describing the system (see below). Areas of interest include all topics related to theoretical and applied computational linguistics, such as (but not limited to) the topics listed on the main conference website. Submitted systems may be of the following types: * Natural Language Processing systems or system components * Application systems using language technology components * Software tools for computational linguistics research * Software for demonstration or evaluation * Software supporting learning or education * Tools for data visualization and annotation * Development tools Papers describing accepted demonstrations will be published in a companion volume of the EMNLP 2020 conference proceedings. Please note: Commercial sales and marketing activities are not appropriate in the Demonstrations Program and should be arranged as part of the Exhibit Program. =============== Best Demo Award =============== As in previous years, EMNLP 2020?s demo track will feature a Best Demo Award. We hope to encourage researchers to make their code publicly available and in the form of an easy-to-use, runnable system. ============== Important Dates ============== Paper submission deadline: Monday July 13, 2020 Notification of acceptance: Monday September 14, 2020 Camera-ready submission: Monday, October 5, 2020 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). ======================================= Submission of papers describing demonstrations ======================================= A paper submitted to accompany a demonstration should outline the design of the system and provide sufficient details to allow the evaluation of its validity, quality, and relevance to computational linguistics. A paper can do this by addressing the following questions: * What problem does the proposed system address? * Why is the system important and what is its impact? * What is the novel in the approach/technology on which this system is based? * Who is the target audience? * How does the system work? * How does it compare with existing systems? * How is the system licensed? Paper submission is electronic, using the Softconf START conference management system at https://www.softconf.com/emnlp2020/demos. Style files should meet the requirements of the EMNLP main conference. Submissions may consist of up to 6 pages, plus unlimited references. Submissions must conform to the EMNLP 2020 official style guidelines (https://2020.emnlp.org/call-for-papers) and they must be in PDF format. The submissions have to be original work (unpublished), as the publication in EMNLP will be archival. ============== Reviewing Policy ============== Reviewing will be single-blind, so authors do not need to conceal their identity. The paper should include the authors? names and affiliations. Self-references are also allowed. =========== Demo Details =========== As the conference will go purely virtual, all the demos will have to be presented online. All demos should be presented via a video conference tool in the allocated time slots during the demo session.? In addition, we strongly recommend all demos are provided via one of the following formats:? (1) A live demo website; or (2) A website with a downloadable installation package of the demo; unless this is impossible because some special hardware is required or access is otherwise limited.? The exact details of the demo session are still to be worked out and will be announced in due time. ?You are encouraged to submit a short (~2 minute) screencast video demonstrating the system together with your paper submission. This screencast will be used to evaluate the paper, but won?t be published unless requested. We encourage the authors to include visual aids (e.g., screenshots, snapshots, or diagrams) in the paper. Authors will also be able to upload and submit additional material, if needed. If you choose to submit a screencast, please upload the video to some hosting site (YouTube, Vimeo, etc.) and include the link in your paper submission. To ensure accessibility for deaf or hard-of-hearing viewers, we encourage authors to caption videos prior to submission. ============= Demo co-chairs: ============= * Qun Liu (Huawei Noah's Ark Lab, Hong Kong) * David Schlangen (University of Potsdam, Germany) From vladan at temple.edu Sun May 17 23:22:46 2020 From: vladan at temple.edu (Vladan Radosavljevic) Date: Sun, 17 May 2020 23:22:46 -0400 Subject: Connectionists: 2nd 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 ioannakoroni at csd.auth.gr Mon May 18 03:56:15 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Mon, 18 May 2020 10:56:15 +0300 Subject: Connectionists: Invitation for the 2020 Summer School on Autonomous Systems, 17-21th August 2020, Aristotle University of Thessaloniki, Thessaloniki, Greece Message-ID: <012d01d62ce9$ce742a90$6b5c7fb0$@csd.auth.gr> Dear Autonomous Systems (cars, drones) engineers, scientists, and enthusiasts, you are welcomed to register to the 2020 Summer School on Autonomous Systems having focus on autonomous drones, cars and marine vessels: http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2020/ It will take place on 17-21/8/2020 as an e-school hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. As Greece had an excellent record on combatting COVID-19 (no case in AUTH), we shall also consider the case of a physical school at AUTH (in parallel to the e-school, same registration), if regulations permit it. See details in the summer school course www pages, as provisions slightly vary from course to course. The summer school consists of two short courses: a) 'Short course on Deep Learning and Computer Vision for Autonomous Systems 2020', 17-18th August 2020: http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/ b) 'Programming short course and workshop on Deep Learning and Computer Vision for Autonomous Systems', 19-21th August 2020: http://icarus.csd.auth.gr/autonomous-systems-2020/ You can follow the above-mentioned links for registration on either or both courses. For questions, please contact: Ioanna Koroni > The first course contains 16 lectures providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous drones, cars and marine vessels. The second programming short course and workshop offers a mix of lectures and programming workshops (hands-on lab exercises) and aims at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on drone planning/control and imaging. Both short courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is AUTH prime investigation for H2020 project AerialCore, Coordinator of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece and Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018). Thessaloniki is a very pleasant city at the end of August, very close to world-class resorts in Chalkidiki peninsula. Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally and its campus is at the city center. Relevant links: 1. European Horizon2020 R&D projects Aerial-Core: https://aerial-core.eu/, Multidrone: https://multidrone.eu/, AI4Media: https://ai4media.eu/ 2. AIIA Lab: http://www.aiia.csd.auth.gr/ 3. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el Course descriptions a) 'Short course on Deep Learning and Computer Vision for Autonomous Systems 2020', 17-18th August 2020. http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/ Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Introduction in computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Introduction to neural networks. Perceptron, backpropagation 6. Deep neural networks. Convolutional NNs 7. Introduction to multiple drone imaging 8. Drone mission planning and control Part B (8 hours) Deep learning topic list 1. Localization and mapping 2. Deep learning for object/target detection 3. Object tracking and 3D target localization 4. Parallel GPU and multicore CPU programming. GPU programming 5. Fast convolution algorithms 6. Drone cinematography 7. Introduction to car vision 8. Introduction to autonomous marine vehicles b) 'Programming short course and workshop on Deep Learning and Computer Vision for Autonomous Systems', 19-21th August 2020. http://icarus.csd.auth.gr/autonomous-systems-2020/ Part A (8 hours), Deep learning sample topic list 1. Deep neural networks. Convolutional NNs 2. Deep learning for target detection 3. PyTorch basics 4. Target detection with PyTorch 5. Object oriented Tensorflow in Google Colab Part B (8 hours), Computer vision sample topic list 1. 2D target tracking 2. Parallel GPU and multi-core CPU architectures . GPU programming 3. CUDA programming 4. OpenCV programming for object tracking 5. Drone mission simulations Part C (8 hours), Drone planning/control sample topic list 1. Drone mission planning and control 2. Drones with ROS and Gazebo simulations Sincerely yours Prof. I. Pitas -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Mon May 18 06:04:27 2020 From: Pavis at iit.it (Pavis) Date: Mon, 18 May 2020 10:04:27 +0000 Subject: Connectionists: [Jobs] 6 PhD positions on Computer Vision at the Italian Institute of Technology (IIT) - PAVIS In-Reply-To: <2eae6d73bc9144fe81205775f2c2626d@iit.it> References: <2eae6d73bc9144fe81205775f2c2626d@iit.it> Message-ID: <80c29fbe92d043878acbc5d0e969da7b@iit.it> 6 PhD Positions IIT has established a collaboration with Universit? degli studi di Genova and funds 6 PhD scholarships on Computer Vision and Machine Learning: link Research and training activities are jointly conducted between the DITEN Department of University and IIT infrastructures in Genoa, at the PAVIS - Pattern Analysis and Computer Vision Research line, led by its Principal Investigator, Alessio Del Bue. RESEARCH TOPICS: Theme A - 3D scene understanding with geometrical and deep learning reasoning Theme B - Artificial Intelligence for Human Behavior Analysis Theme C - People and Object Re-identification in the wild Theme D - Deep Learning for Multi-modal scene understanding Theme E - Weakly Supervised and Unsupervised Deep Learning Theme F - Visual Reasoning with Knowledge and Graph Neural Networks for scene understanding Theme G - Distributed AI in sensor networks and robotic platforms Detailed description at: https://pavisdata.iit.it/data/phd/ResearchTopics2021_IIT-PAVIS PAVIS The PhD program on the listed topics will take place at the PAVIS research line of Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it). The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, even multidisciplinary, in collaboration with other research groups in IIT. PAVIS staff has a wide expertise in computer vision and pattern recognition, machine learning, image processing, and related applications (related to assistive and monitoring AI systems). For more information, you can also browse the PAVIS webpage http://pavis.iit.it/ to see our activities and research. Successful candidates will be part of an exciting and international working environment and will work in brand new laboratories equipped with state-of-the-art instrumentation. Excellent communication skills in English, as well as ability to interact effectively with members of the research team, are mandatory. HOW TO APPLY In order to apply for the XXXVI Phd Course in Science and Technologies for Electronics and Telecommunication Engineering, curriculum in Computer Vision, Pattern Recognition and Machine Learning (CODE 8259) it is mandatory to refer to the procedures administered by Universit? degli studi di Genova. The official call (bando di concorso) is available at this link: https://unige.it/usg/it/dottorati-di-ricerca, where the call and the annex A (allegato A) will shortly be published in English. APPLICATIONS are already possible through University of Genoa ONLINE PROCEDURE ONLY: http://servizionline.unige.it/studenti/post-laurea/dottorato WHAT TO SUBMIT: A detailed CV, a research proposal under one or more topics chosen among those above indicated, reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. Refer also to the indications stated in the annex A above mentioned. IMPORTANT: In order to apply, candidates must prepare the research proposal based on the research topics above mentioned. Please, follow these indications to prepare it: https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf For FURTHER INFORMATION on the research topics contact Dr. Del Bue at pavis at iit.it DEADLINE ONLINE APPLICATION DEADLINE is JUNE 15, 2020 at 12:00 p.m. (noon, Italian time/CEST) ? STRICT DEADLINE, NO EXTENSION. Apply before deadline, the application process is not immediate: don?t wait for the final day. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Mon May 18 09:35:36 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Mon, 18 May 2020 15:35:36 +0200 Subject: Connectionists: VISMAC2020 summer school - COVID-19 Updates Message-ID: :: VISMAC2020 - COVID-19 Updates :: First of all we would like to thank all those who have already expressed interest in attending the VISMAC summer school. Unfortunately, we are living in very worrying and uncertain times which do not allow the event to take place in safety now. We monitor the situation to safeguard everyone, hence we are obliged to postpone VISMAC to when sanitary conditions will allow it. Regrettably, it will not take place before June 2021, but we will give immediate communication as soon as the situation is clearly stable and secure. Thank you for your kind understanding and take care of yourselves, Domenico Tegolo, UNIPA Cesare Valenti, UNIPA Roberto Pirrone, UNIPA Filippo Stanco, UNICT Marco E. Tabacchi, UNIPA Fabio Bellavia, UNIPA From lpandolfo at uniss.it Mon May 18 12:40:33 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Mon, 18 May 2020 18:40:33 +0200 Subject: Connectionists: [Final CFP and Updated Schedule] ICLP 2020 - The 36th International Conference on Logic Programming Message-ID: ======================================================== *FINAL CALL FOR PAPERS ? Updated schedule* ** *ICLP 2020 - The 36th International Conference on Logic Programming September 18 - September 24, 2020 University of Calabria, Rende, Italy **https://iclp2020.unical.it* ======================================================== *IMPORTANT HIGHLIGHTS: Conference online:* 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. *Deadlines Extension:* Due to the difficult period we are all experiencing and the profound impact that this has been having on our lives and daily work we have decided to extend the submission deadline for ICLP 2020 special tracks. New schedule of important dates is highlighted below: *Applications Track and Woman in Logic Programming* Abstract registration (regular papers, including TPLP papers): *June 3, 2020* Paper submission (regular paper): *June 5, 2020 * Final notifications (All paper kinds): *July 30, 2020 * Camera-ready copy due: *August 6, 2020* *Research Challenges Track and Journal Presentation Track* Abstract registration and paper submission: *July 12, 2020* Final notifications: *July 30, 2020* Camera-ready copy due: *August 6, 2020* Abstract registration of regular papers to the main track is now closed. ======================================================== *The Conference* The 36th International Conference on Logic Programming (ICLP 2020) will take place from the 18th September 2020 in Rende (CS),?Italy. 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. *Paper Types:*Regular paper (including TPLP Papers), Short Paper. -*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 confere???nces but have not been previously presented at ICLP.*Paper Type:* Paper published in other main venue. -*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. *Paper Type:*Short paper. -*Women in Logic Programming: *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. 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. *Paper Types:*Regular paper (including TPLP Papers), Short Paper. *Submission Details* ================= All submissions must be made via the EasyChair conference system: https://easychair.org/conferences/?conf=iclp20200. Each ICLP2020 Track has its own submission rules, please check the dedicated CFP in our website for more details: https://iclp2020.unical.it/calls All papers will be presented during the?conference. So, at least one author per accepted paper is expected to register and?attend remotely 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. -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Mon May 18 12:55:38 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Mon, 18 May 2020 18:55:38 +0200 Subject: Connectionists: ICMI 2020: Second Call for Demonstrations and Exhibits Message-ID: ******************************************************* ICMI 2020: Second Call for Demonstrations and Exhibits http://icmi.acm.org/2020/index.php?id=cfd 25-29 Oct 2020, Utrecht, The Netherlands ******************************************************* We invite you to submit your proposals for demonstrations and exhibits to be held during the 22nd ACM International Conference on Multimodal Interaction (ICMI 2020), located in Utrecht, the Netherlands, October 25-29th, 2020. 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 a 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. Demonstrations and Exhibits The ICMI 2020 Demonstrations & Exhibits session is intended to provide a forum to showcase innovative implementations, systems and technologies demonstrating new ideas about interactive multimodal interfaces. It can also serve to introduce commercial products. Proposals may be of two types: demonstrations or exhibits. The main difference is that demonstrations include a 1-2 page paper, which will be included in the ICMI main proceedings, while the exhibits only need to include a brief outline (no more than one page; not included in ICMI proceedings). We encourage both the submission of early research prototypes and interesting mature systems. In addition, authors of accepted regular research papers may be invited to participate in the demonstration sessions as well. Demonstration Submission Please submit a 1-2 page description of the demonstration through the main ICMI conference management system ( https://new.precisionconference.com/sigchi). Demonstration description(s) must be in PDF format, according to the ACM conference format, of no more than 2 pages in length including references (submission format: http://icmi.acm.org/2020/index.php?id=authors). Demonstration proposals should include a description with photographs and/or screen captures of the demonstration and, where possible, a video of the proposed demo should accompany the submission (no larger than 200MB). The demo and exhibit paper submissions are not anonymous. However, all ACM rules and guidelines related to paper submission should be followed (e.g. plagiarism, including self-plagiarism). The demonstration submissions will be peer-reviewed, according to the following criteria: suitability as a demo, scientific or engineering feasibility of the proposed demo system, application, or interactivity, alignment with the conference focus, potential to engage the audience, and overall quality and presentation of the written proposal. Authors are encouraged to address such criteria in their proposals (paper submission), along with preparing the short papers mindful of the quality and rigorous scientific expectations of an ACM publication. The demo program will include the accepted proposals and may additionally include invited demos from among full-length papers accepted for presentation at the conference. Please note that the accepted descriptions will be included in the ICMI main proceedings. Exhibit Submission Exhibit proposals should be submitted following the same guidelines, formatting, and due dates as for demonstration proposals. Exhibit proposals must be shorter in length (up to one page) and more suitable for mature systems. Exhibits will not have a paper published in the ICMI 2020 proceedings. Attendance At least one author of all accepted Demonstrations and Exhibits submissions must register for and attend the conference, including the conference demonstrations and exhibits session(s). Important Dates *Submission of demo and exhibit proposals July 17, 2020* Demo and exhibit notification of acceptance July 31, 2020 Submission of demo final papers August 17, 2020 Questions? For further questions, contact the Demonstrations and Exhibits co-chairs: Zakia Hammal (Zakia_Hammal at yahoo.fr) and Dominique Vaufreydaz ( Dominique at research.vaufreydaz.org) -------------- next part -------------- An HTML attachment was scrubbed... URL: From schaul at gmail.com Mon May 18 09:50:12 2020 From: schaul at gmail.com (Tom Schaul) Date: Mon, 18 May 2020 14:50:12 +0100 Subject: Connectionists: AI for Social Good: perspective, declaration, open call. Message-ID: We are happy to announce 3 initiatives on AI for Social Good: - Guidelines and a perspective on how to do a machine learning with NGO partnerships - A declaration of best practice regarding AI for Social Good. Please sign if you agree with it -- and thank you to the many of you who already have! - Finally, an open call for NGO partners to participate in the second Dagstuhl "AI for Social Good" workshop and hackathon (the perspective and declaration above are outcomes of the first). Looking forward to seeing more initiatives in the realm of AI4Good! -------------- next part -------------- An HTML attachment was scrubbed... URL: From kerstin.ritter at bccn-berlin.de Tue May 19 08:41:41 2020 From: kerstin.ritter at bccn-berlin.de (Kerstin Ritter) Date: Tue, 19 May 2020 14:41:41 +0200 (CEST) Subject: Connectionists: =?utf-8?q?PhD_position_=22Deep_Learning_for_MRI-b?= =?utf-8?q?ased_addiction_research=22_at_Charit=C3=A9_in_Berlin_=28PI_Kers?= =?utf-8?q?tin_Ritter=2C_start=3A_1st_July_2020=29?= Message-ID: <1403334139.454853.1589892101789.JavaMail.zimbra@bccn-berlin.de> Dear all, we will offer a PhD position at Charit? - Unversit?tsmedizin Berlin and Bernstein Center for Computational Neuroscience for "Deep Learning for MRI-based addiction research", starting in July 2020 (3 years, German pay scale TVL E13, 100% working time). Please see announcement below: ______________________________________________________________ Deep Learning for MRI-based addiction research PhD position (starting date: July 2020, 3 years, 100%) At Charit? - Universit?tsmedizin Berlin and the Bernstein Center for Computational Neuroscience, we are looking for a motivated and highly talented PhD student for a subproject in the Collaborative Research Centre TRR 265: Losing and Regaining Control over Drug Intake (lead: Andreas Heinz). The subproject is about "Deep Learning for identifying subtypes in addiction based on structural MRI data" (PI and primary supervisor: Kerstin Ritter). The goal of this subproject is to employ and advance (transparent) convolutional neural network architectures for the analysis of structural MRI data in addiction with respect to disease progression and subtypes. Requirements for the PhD student: - Very good degree in computer science, mathematics, physics, psychology, computational neuroscience or related subject. - Good programming skills in python - Strong experience in machine/deep learning and/or (medical) image analysis - Excellent writing and communication skills (in English) If you are interested, please send a short letter of motivation + CV (in one pdf) as soon as possible to kerstin.ritter at bccn-berlin.de _____________________________________________________________ Thank you and best wishes, Kerstin _______________________________________________ Dr. rer. nat. Kerstin Ritter (n?e Hackmack) Juniorprofessor for Computational Neuroscience Department for Psychiatry and Psychotherapy Charit? Universit?tsmedizin Berlin, corporate member of Freie Universit?t Berlin, Humboldt-Universit?t zu Berlin, and Berlin Institute of Health, Berlin, Germany Charit?platz 1, 10117 Berlin, Germany Phone: +49(0)30 450 539364 https://psychiatrie-psychotherapie.charite.de/en/research/neuroimaging_and_neurotechnology/machine_learning/ From marcin at amu.edu.pl Tue May 19 18:17:55 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 20 May 2020 00:17:55 +0200 Subject: Connectionists: Call for Papers; Network Systems and Applications; 29.05 deadline; IEEE #49059; Tele-presence possible (reduced fee) In-Reply-To: <3ee23556-3cab-d2a7-05f4-5b769e570f50@ibspan.waw.pl> References: <3ee23556-3cab-d2a7-05f4-5b769e570f50@ibspan.waw.pl> Message-ID: <051bbdcd-9904-025b-9dbc-6efa4c92953c@amu.edu.pl> CALL FOR PAPERS ************************************************************** Network Systems and Applications https://www.fedcsis.org/2020/nsa Organized within the framework of the Federated Conference on Computer Science and Information Systems (FedCSIS 2020), Track 5 Sofia, Bulgaria, 6-9 September, 2020 http://www.fedcsis.org/ ************************************************************** COVID-19 Information (SEE NEW SUBMISSION DEADLINE) 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. Nevertheless, we would like to stress that in case of inability to be physically present at the FedCSIS Conference, due to travel restrictions, the FedCSIS paper authors will be allowed to remotely present their papers. Fees for remote presentations will be substantially reduced (details soon). ***************************************************************** AIMS & SCOPE Modern network systems encompass a wide range of solutions and technologies, including wireless and wired networks, network systems, services, and applications. This results in numerous active research areas oriented towards various technical, scientific and social aspects of network systems and applications. The primary objective of Network Systems and Applications conference track is to group network-related technical sessions and promote synergy between different fields of network-related research. This year, this track (Track #3) has three main technical sessions, namely ANSA, IoT-ECAW?20, and NEMESIS'20. The ANSA technical session is a wide umbrella that receives research on a broad scope of network systems and technologies. The IoT-ECAW?20 workshop is dedicated to all papers related to the Internet-of-Things (IoT) developments, challenges, and applications. The NEMESIS?20 receives papers related to information security, user privacy, and trust management from broad scope of domains including networks, IoT, clouds, and in addition to conventional cybersecurity applications. The three technical sessions aim to cover all aspects related to network systems and networking technologies. As a matter of arrangement, we encourage submitting papers to their well-matched event. The track chairs are available via email to clarify any confusion that might occur. For more details, see below and visit WWW site of each Technical Session. *** Advances in Network Systems and Applications (ANSA'20) https://www.fedcsis.org/2020/ansa The rapid development of computer networks including wired and wireless networks observed today is very evolving, dynamic, and multidimensional. On the one hand, network technologies are used in virtually several areas that make human life easier and more comfortable. On the other hand, the rapid need for network deployment brings new challenges in network management and network design, which are reflected in hardware, software, services, and security-related problems. Every day, a new solution in the field of technology and applications of computer networks is released. The ANSA technical session is devoted to emphasizing up-to-date topics in networking systems and technologies by covering problems and challenges related to the intensive multidimensional network developments. This session covers not only the technological side but also the societal and social impacts of network developments. The session is inclusive and spans a wide spectrum of networking-related topics. The ANSA technical session is a great place to exchange ideas, conduct discussions, introduce new ideas and integrate scientists, practitioners, and scientific communities working in networking research themes. Topics: The ANSA session is seeking original, relevant, and high-quality research papers related, but not limited, to the following topics: Networks architecture Networks management Quality-of-Service enhancement Performance modeling and analysis Fault-tolerant challenges and solutions 5G developments and applications Traffic identification and classification Switching and routing technologies Protocols design and implementation Wireless sensor networks Future Internet architectures Networked operating systems Industrial networks deployment Software-defined networks Self-organizing and self-healing networks Mulimedia in Computer Networks Communication quality and reliability Emerging aspects of networking systems The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of networking technology. *** Internet of Things - Enablers, Challenges and Applications (4rd Workshop IoT-ECAW'20) https://www.fedcsis.org/2020/iot-ecaw The Internet of Things is a technology which is rapidly emerging the world. IoT applications include: smart city initiatives, wearable devices aimed to real-time health monitoring, smart homes and buildings, smart vehicles, environment monitoring, intelligent border protection, logistics support. The Internet of Things is a paradigm that assumes a pervasive presence in the environment of many smart things, including sensors, actuators, embedded systems and other similar devices. Widespread connectivity, getting cheaper smart devices and a great demand for data, testify to that the IoT will continue to grow by leaps and bounds. The business models of various industries are being redesigned on basis of the IoT paradigm. But the successful deployment of the IoT is conditioned by the progress in solving many problems. These issues are as the following: The IoT technical session is seeking original, high quality research papers related to such topics. The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of IoT. The focus areas will be, but not limited to, the challenges on networking and information management, security and ensuring privacy, logistics, situation awareness, and medical care. The integration of heterogeneous sensors and systems with different technologies taking account environmental constraints, and data confidentiality levels; Big challenges on information management for the applications of IoT in different fields (trustworthiness, provenance, privacy); Security challenges related to co-existence and interconnection of many IoT networks; Challenges related to reliability and dependability, especially when the IoT becomes the mission critical component; Zero-configuration or other convenient approaches to simplify the deployment and configuration of IoT and self-healing of IoT networks; Knowledge discovery, especially semantic and syntactical discovering of the information from data provided by IoT. Topics: The IoT session is seeking original, high quality research papers related to following topics: Future communication technologies (Future Internet; Wireless Sensor Networks; Web-services, 5G, 4G, LTE, LTE-Advanced; WLAN, WPAN; Small cell Networks?) for IoT, Intelligent Internet Communication, IoT Standards, Networking Technologies for IoT, Protocols and Algorithms for IoT, Self-Organization and Self-Healing of IoT Networks, Object Naming, Security and Privacy in the IoT Environment, Security Issues of IoT, Integration of Heterogeneous Networks, Sensors and Systems, Context Modeling, Reasoning and Context-aware Computing, Fault-Tolerant Networking for Content Dissemination, IoT Architecture Design, Interoperability and Technologies, Data or Power Management for IoT, Fog - Cloud Interactions and Enabling Protocols, Reliability and Dependability of mission critical IoT, Unmanned-Aerial-Vehicles (UAV) Platforms, Swarms and Networking, Data Analytics for IoT, Artificial Intelligence and IoT, Applications of IoT (Healthcare, Military, Logistics, Supply Chains, Agriculture, ...), E-commerce and IoT. The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of IoT. Focus areas will be, but not limited to above mentioned topics. *** Cyber Security, Privacy and Trust (1st International Forum NEMESIS'20) https://www.fedcsis.org/2020/nemesis Nowadays, information security works as a backbone for protecting both user data and electronic transactions. Protecting communications and data infrastructures of an increasingly inter-connected world have become vital nowadays. Security has emerged as an important scientific discipline whose many multifaceted complexities deserve the attention and synergy of computer science, engineering, and information systems communities. Information security has some well-founded technical research directions which encompass access level (user authentication and authorization), protocol security, software security, and data cryptography. Moreover, some other emerging topics related to organizational security aspects have appeared beyond the long-standing research directions. The International Forum of Cyber Security, Privacy, and Trust (NEMESIS?20) as a successor of International Conference on Cyber Security, Privacy, and Trust (INSERT?19) focuses on the diversityof the cyber information security developments and deployments in order to highlight the most recent challenges and report the most recent researches. The session is an umbrella for all cyber security technical aspects, user privacy techniques, and trust. In addition, it goes beyond the technicalities and covers some emerging topics like social and organizational security research directions. NEMESIS?20 serves asa forum of presentation of theoretical, applied research papers, case studies, implementation experiences as well as work-in-progress results in cyber security. NEMESIS?20 is intended to attract researchers and practitioners from academia and industry and provides an international discussion forum in order to share their experiences and their ideas concerning emerging aspects in information security met in different application domains. This opens doors for highlighting unknown research directions and tackling modern research challenges. The objectives of the NEMESIS?20 can be summarized as follows: To review and conclude research findings in cyber security and other security domains, focused on the protection of different kinds of assets and processes, and to identify approaches that may be useful in the application domains of information security. To find synergy between different approaches, allowing elaborating integrated security solutions, e.g. integrate different risk-based management systems. To exchange security-related knowledge and experience between experts to improve existing methods and tools and adopt them to new application areas Topics Topics of interest include but are not limited to: Biometric technologies Cryptography and cryptanalysis Critical infrastructure protection Security of wireless sensor networks Hardware-oriented information security Organization- related information security Social engineering and human aspects in cyber security Individuals identification and privacy protection methods Pedagogical approaches for information security education Information security and business continuity management Tools supporting security management and development Decision support systems for information security Trust in emerging technologies and applications Digital right management and data protection Threats and countermeasures for cybercrimes Ethical challenges in user privacy and trust Cyber and physical security infrastructures Risk assessment and management Steganography and watermarking Digital forensics and crime science Security knowledge management Security of cyber-physical systems Privacy enhancing technologies Trust and reputation models Misuse and intrusion detection Data hide and watermarking Cloud and big data security Computer network security Assurance methods Security statistics The session will also solicit papers about current implementation efforts, research results, as well as position statements from industry and academia regarding applications of networking technology. ************************************************************************ PAPER SUBMISSION * Authors should submit draft papers (as Postscript, PDF or MSWord file). * The total length of a paper should not exceed 10 pages IEEE style (including tables, figures and references). * Papers will be refereed and accepted on the basis of their scientific merit and relevance to the workshop. * Preprints containing accepted papers will be published on a USB memory stick provided to the FedCSIS participants. * Only papers presented at the conference will be published in Conference Proceedings and submitted for inclusion in the IEEE Xplore? database. * Conference proceedings will be published in a volume with ISBN, ISSN and DOI numbers and posted at the conference WWW site. * Conference proceedings will be indexed in BazEkon and submitted for indexation in: Thomson Reuters - Conference Proceedings Citation Index, SciVerse Scopus, Inspec, Index Copernicus, DBLP Computer Science Bibliography and Google Scholar. * Organizers reserve right to move accepted papers between FedCSIS events. * For paper submission instructions, please visit: https://www.fedcsis.org/2020/instructions IMPORTANT DATES Paper submission (sharp / no extension): May 29, 2020 Position paper submission: June 23, 2020 Author notification: July 15, 2020 Final paper submission and registration: July 31, 2020 Conference date: September 6-9, 2020 Track 3 Chairs: Armando, Alessandro, University of Genova, Italy Awad, Ali Ismail, Lulea University of Technology, Sweden Furtak, Janusz, Military University of Technology, Poland -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From michael.c.kampffmeyer at uit.no Wed May 20 09:03:29 2020 From: michael.c.kampffmeyer at uit.no (Michael Kampffmeyer) Date: Wed, 20 May 2020 13:03:29 +0000 Subject: Connectionists: Fully funded 4-year PhD positions in Machine Learning for Medical Image Analysis at UiT The Arctic University of Norway Message-ID: Please see below for details about an open call for 3-5 4-year PhD positions at UiT The Arctic University of Norway. We, the Machine Learning Group at UiT (http://machine-learning.uit.no), are seeking PhD Candidates to take an active role in the group's research on developing novel machine learning methodology for 1) medical image analysis or for 2) integration of renewable energy in smart power grids. Research projects proposed by the Machine Learning group are: 1) Next generation medical computer vision Learning from limited labels is a fundamental challenge in machine learning, especially in the medical domain. This project develops deep learning based algorithms for zero-shot learning, few-shot learning, clustering and domain adaptation and is connected to the joint effort of the UiT Machine Learning Group and the University Hospital of North Norway and the establishment of the Center for Patient-Centered AI. Applicants should have a machine learning or deep learning background and a solid Mathematics background. 2) Deep learning for integration of renewable energy in smart power grids Distributed generation of solar and wind power are important parts of smart power systems to supply rural communities with clean energy and avoid investments to increase grid capacity. Reliable integration of intermittent energy sources requires exact predictions of consumer demand, available power, and the impact on load flow and voltage stability. Applicants must have solid experience with machine learning theory and Python frameworks for deep learning. For more information about the application procedure, salary, etc, please visit https://www.jobbnorge.no/en/available-jobs/job/186596/3-5-phd-fellows-in-physics-and-technology The successful candidate(s) will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections. Best regards, Michael Kampffmeyer -------------- next part -------------- An HTML attachment was scrubbed... URL: From Darren.Hurley-Smith at rhul.ac.uk Wed May 20 10:05:30 2020 From: Darren.Hurley-Smith at rhul.ac.uk (Hurley-Smith, Darren) Date: Wed, 20 May 2020 14:05:30 +0000 Subject: Connectionists: [CfP] Security and Trust Management 2020 Call for Papers Message-ID: We would like to bring your attention to the following call for papers, as it is our belief that you share our professional interest in matters of Security and Trust Management. COVID-19 UPDATE After assessment of the COVID-19 Pandemic, the ESORICS 2020 Organizing Committee has made the decision to move the conference and all associated workshops to an online format. Arrangements for the virtual format are being made and we will post updates as they are announced. This new format will not affect our proceedings, which will be published as Springer LNCS proceedings. =========================================================================== STM 2020 The 16th International Workshop on Security and Trust Management Co-located with: ESORICS 2020 September 17-18, 2020, University of Surrey, Guildford, UK ***Due to COVID-19 this is now a Virtual Event*** https://www.iit.cnr.it/stm2020/ =========================================================================== SCOPE STM (Security and Trust Management) is a working group of ERCIM (European Research Consortium in Informatics and Mathematics). STM 2020 is the sixteenth workshop in this series and will be held at the University of Surrey, Guildford, UK, in conjunction with the 25th European Symposium On Research in Computer Security (ESORICS 2020). The workshop seeks submissions from academia, industry, and government presenting novel research on all theoretical and practical aspects of security and trust in ICTs. TOPICS OF INTEREST * Access control * Anonymity * Applied cryptography * Authentication * Data and application security * Data protection * Data/system integrity * Digital rights management * Economics of security and privacy * Formal methods for security and trust * Identity management * Legal and ethical issues * Mobile security * Networked systems security * Operating systems security * Privacy * Security and trust metrics * Security and trust policies * Security and trust management architectures * Security and trust for big data * Security and trust in cloud environments * Security and trust in content delivery networks * Security and trust in crowdsourcing * Security and trust in social networks * Security and trust in the Internet of Things * Security and trust in pervasive computing * Security and trust in services * Security and trust in edge computing * Security and trust in embedded systems and associated applications * Security and trust in blockchain protocols and applications * Social implications of security and trust IMPORTANT DATES All deadlines are at 11.59PM / 23:59 American Samoa Time Submission: June 22, 2020 Notification: August 3, 2020 Camera-ready: August 10, 2020 INSTRUCTIONS FOR PAPER SUBMISSION All submissions should be appropriately anonymized (i.e., papers should not contain author names or affiliations, or obvious citations). Submissions should be at most 16 pages in the LNCS format, including the bibliography and well-marked appendices. All submissions must be written in English, and only PDF files will be accepted (a Latex source file will be required for the final version of accepted papers). The final version of an accepted paper must be in the format required for publication in the LNCS series. Authors should consult Springer?s authors? guidelines and use their proceedings templates. Springer encourages authors to include their ORCIDs https://goo.gl/hbsa4D in their papers. Submissions not meeting these guidelines risk rejection without consideration of their merits. Submissions are to be made to the submission web site at: https://easychair.org/conferences/?conf=stm2020 Papers must be received by the deadline of June 22 (11:59 p.m. American Samoa time). At least one author of accepted papers must guarantee that they will present their paper at the workshop. As in previous years, the proceedings are planned to be published by Springer in the Lecture Notes in Computer Science (LNCS) series. A paper submitted to STM 2020 cannot be under review for any other conference or journal during the time it is being considered for STM 2020. Furthermore, after you submit to STM 2020, you must await our response before submitting elsewhere. If you submit your paper to another conference or journal either before or after submission of the paper to STM 2020, we will reject your paper without review and will also notify the other conference/journal. This restriction applies to identical as well as to substantially similar papers. In addition, the corresponding author of each accepted paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. PROGRAM CHAIRS Kostantinos Markantonakis, Information Security Dept., Royal Holloway, UK Marinella Petrocchi, Institute for Informatics and Telematics, CNR, Pisa, Italy WEB CHAIR Michela Fazzolari, Institute for Informatics and Telematics, CNR, Pisa, Italy PROGRAM COMMITTEE Sara Abugazalah, King Khalid University, Saudi Arabia Raja Naeem Akram, Information Security Dept., Royal Holloway, UK Cristina Alcaraz, University of Malaga, Spain Stefano Calzavara, Universit? Ca? Foscari Venezia, Italy Madeline Cheah, Horiba Mira, UK Mauro Conti, University of Padua, Italy Gabriele Costa, IMT School for Advanced Studies, Lucca, Italy Haitham Cruickshank, University of Surrey, UK Jorge Cuellar, Siemens AG, Germany Sabrina De Capitani di Vimercati, University of Milano, Italy Rocco De Nicola, IMT School for Advanced Studies, Lucca, Italy Roberto Di Pietro, Hamad Bin Khalifa University, Doha, Qatar Michela Fazzolari, IIT-CNR, Italy Sara Foresti, Universit? degli Studi di Milano, Italy Lettiero Galletta, IMT School for Advanced Studies, Lucca, Italy Olga Gadyatskaya, LIACS, Leiden University, The Netherlands Gerhard Hancke, City University of Hong Kong, Hong Kong Thibaut Heckmann, ISG Smart Card and IoT Security Centre, London, UK Julio Hernandez, University of Kent, UK Darren Hurley-Smith, Information Security Dept., Royal Holloway, UK Christos Kaloniatis, University of the Aegean, Greece Ghassan Karame, NEC Laboratories Europe, Germany Nikos Komninos, City University of London, UK Giovanni Livraga, Universit? degli Studi di Milano, Italy Eleonora Losiouk, University of Padua, Italy Emmanuel Magkos, Ionian University, Greece Luigi Mancini, Universit? di Roma La Sapienza, Roma, Italy Fabio Martinelli, IIT-CNR, Italy Ilaria Matteucci, IIT-CNR, Italy Sjouke Mauw, University of Luxembourg, Luxembourg Keith Mayes, Information Security Group, Royal Holloway, UK Nikolaos Petroulakis, Foundation for Research and Technology-Hellas (FORTH), Greece Nikos Pitropakis, Edinburgh Napier University, UK Joachim Posegga, University of Passau, Germany Konstantinos Rantos, Eastern Macedonia and Thrace Institute of Technology, Greece Michael Rusinowitch, LORIA ? INRIA Nancy, France Pierangela Samarati, University of Milano, Italy Damien Sauveron,University of Limoges, France Daniele Sgandurra, Royal Holloway, UK Angelo Spognardi, Universit? di Roma La Sapienza, Roma, Italy Mark Strembeck, Vienna University of Economics and Business, Vienna Tom Van Goethem, KU Leuven, Belgium Mathy Vanhoef, NYU Abu Dhabi, United Arab Emirates Chan Yeob Yeun, Khalifa University, Abu Dhabi, United Arab Emirates Chia-Mu Yu, National Chung Hsing University, Taiwan We look forwards to receiving your submissions. Kind regards, Darren Hurley-Smith, Ph.D., Publicity Chair Lecturer in Information Security Information Security group Royal Holloway University of London darren.hurley-smith at rhul.ac.uk This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dominik.endres at uni-marburg.de Wed May 20 12:36:42 2020 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Wed, 20 May 2020 18:36:42 +0200 Subject: Connectionists: Two PhD positions on prefrontal activity and reward learning Message-ID: <4309447.guRJ26feO9@pc04174> At the Department of Psychology, Philipps-University of Marburg, the research group on Differential Psychology and Personality of Prof. Dr. M?ller is currently accepting applications for two Research Assistants (PhD student) subject to final acceptance of the grant proposal by the DFG. The positions are offered for a period of 4 years, if no former times of qualification must be considered. The starting date is as soon as possible. The positions are part-time (75 % of regular working hours) with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13). The positions are a part of the project A07 ?The role of dopamine, reward learning and prefrontal activity in expectation-induced mood enhancement? within the proposed Collaborative Research Center ?The impact of expectation on health outcome?. The project investigates effects of reward learning, dopamine and personality traits on placebo effects in the context of depressive symptoms. Key research methodologies are: pharmacological manipulations, EEG-recordings, and computational modeling. One position will focus on placebo effects an depressive symptoms, the other position on computational modeling. Duties include scientfic work in the project, in particular planning, execution and evaluation of psychopharmacological EEG-studies under the supervision of Prof. Dr. Erik M?ller and Prof. Dr. Dominik Endres (research group on Theoretical Cognitive Science). Feel free to contact mailto: erik.mueller at staff.uni.marburg.de for more information. The full job advert can be found here: https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezernat2/ personalabteilung/bewerber/stellen/wissenschaftliche-stellen/fb04-0022-wmz-220520- engl.pdf[1] Please send your application mentioning the registration number fb04-0022-wmz-2020 including a letter of motivation, recent C.V. with list of publications, two potential referees and list of skills and experiences as a single PDF to the Faculty of Psychology, Herrn Prof. Dr. Erik M?ller, erik.mueller at uni-marburg.de, deadline 22nd May 2020. -- Prof. Dr. Dominik Endres AE Theoretische Neurowissenschaft Allgemeine und Biologische Psychologie FB Psychologie, Gutenbergstr 18, 35032 Marburg, Germany Tel. +49-(0)6421-28-23818 -------- [1] https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezernat2/ personalabteilung/bewerber/stellen/wissenschaftliche-stellen/fb04-0022-wmz-220520- engl.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentina.ivanova at ri.se Thu May 21 08:44:59 2020 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Thu, 21 May 2020 12:44:59 +0000 Subject: Connectionists: [CfP] ESWC 2020 - Call for Participation 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 Program - ESWC 2020 will be a virtual conference taking place between June 2 ? 4, 2020. Find more information about the conference program at: https://2020.eswc-conferences.org/program/ 2. Registration - The registration site for the ESWC 2020 is open. For the different registration options, please visit the registration page: https://2020.eswc-conferences.org/registration/ 3. 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 ioannakoroni at csd.auth.gr Fri May 22 03:36:07 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Fri, 22 May 2020 10:36:07 +0300 Subject: Connectionists: CVML Web lectures 27th May 2020: 1) Artificial Neural Networks. Perceptron 2) Multilayer perceptron. Backpropagation References: <01ee01d62f95$8f8c2f90$aea48eb0$@csd.auth.gr> Message-ID: <00e801d6300b$a88329b0$f9897d10$@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 have launched the live CVML Web lecture series that covers very important Computer Vision/Machine Learning topics. Two new upcoming 45 min lectures will take place soon: 1) Artificial Neural Networks. Perceptron 2) Multilayer perceptron. Backpropagation Date/time: Wednesday 27th May 2020, 17:00-18:30 EEST for both lectures (7:00-8:30 am California time, 10:00-11:30 am New York time, 22:00-23:30 Beijing time). Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Registration for asynchronous access to CVML live Web lecture material (video, pdf/ppt) for any past/present lecture can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lecture abstracts 1) Artificial Neural Networks. Perceptron, Wednesday 27th May 2020, 17:00-17:45 EEST Summary: This lecture will cover the basic concepts of Artificial Neural Networks (ANNs): Biological neural models, Perceptron, Activation functions, Loss types, Steepest Gradient Descent, On-line Perceptron training, Batch Perceptron training. 2) Multilayer perceptron. Backpropagation, Wednesday 27th May 2020, 17:45-18:30 EEST Summary: This lecture will cover the basic concepts of Multi-Layer Perceptron (MLP), Training MLP neural networks, Activation functions, Loss types, Gradient descent, Error Backpropagation, Stochastic Gradient Descent, Adaptive Learning Rate Algorithms, Regularization, Evaluation, Generalization. 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. His current interests are in the areas of machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 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 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 31000+ citations to his work and h-index 83+ (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/. Lecturing record of Prof. I. Pitas: He was Visiting/Adjunct/Honorary Professor/Researcher and lectured at several Universities: University of Toronto (Canada), University of British Columbia (Canada), EPFL (Switzerland), Chinese Academy of Sciences (China), University of Bristol (UK), Tampere University of Technology (Finland), Yonsei University (Korea), Erlangen-Nurnberg University (Germany), National University of Malaysia, Henan University (China). He delivered 90 invited/keynote lectures in prestigious international Conferences and top Universities worldwide. He run 17 short courses and tutorials on Autonomous Systems, Computer Vision and Machine Learning, most of them in the past 3 years in many countries, e.g., USA, UK, Italy, Finland, Greece, Australia, N. Zealand, Korea, Taiwan, Sri Lanka, Bhutan. Relevant links: a) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el b) AIIA Lab www.aiia.csd.auth.gr General information: 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 15 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 (delivered 2nd May 2020) Stereo and Multiview imaging (delivered 2nd May 2020) Structure from Motion (delivered 9th May 2020) 2D convolution and correlation algorithms (delivered 9th May 2020) Motion estimation (delivered 20th May 2020) Introduction to Machine Learning (delivered 20th May 2020) Artificial Neural Networks. Perceptron Multilayer 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 Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at di.ku.dk Fri May 22 03:38:08 2020 From: mm at di.ku.dk (Maria Maistro) Date: Fri, 22 May 2020 07:38:08 +0000 Subject: Connectionists: TREC Health Misinformation Track 2020 Message-ID: Call for participation: TREC Health Misinformation Track 2020 https://trec-health-misinfo.github.io This year, we have focused the track specifically on misinformation related to COVID-19 and SARS-CoV-2, adopting a news corpus from January to April, 2020 as the basis for our test collection. As our understanding of the disease evolved over this period some facts became better known. For example, at one point, it was suggested that Ibuprofen might worsen COVID-19. A retrieval effort undertaken today should avoid returning these articles, or else label them as potentially misleading. To participate in the track, you need to register by May 31 2020 at the following link: https://trec.nist.gov/pubs/call2020.html AIMS AND SCOPE -------------------------- Misinformation represents a key problem when using search engines to guide any decision-making task: Are users able to discern authoritative from unreliable information and correct from incorrect information? This problem is further exacerbated when the search occurs within uncontrolled data collections, such as the web, where information can be unreliable, misleading, highly technical, and can lead to unfounded escalations. Information from search-engine results can significantly influence decisions, and research shows that increasing the amount of incorrect information about a topic presented in a Search Engine Result Page (SERP) can impel users to make incorrect decisions. In this context, the TREC 2020 Misinformation track fosters research on retrieval methods that promote reliable and correct information over misinformation. The track offers the following tasks: * Total Recall Task: The goal is to identify all the documents conveying incorrect information for a specific set of topics; * Ad-hoc Retrieval Task: The goal is to design a ranking model that promotes credible and correct information over incorrect information; * Evaluation Meta Task: The goal is to develop new evaluation methods that reflect the credibility and correctness of documents, as well as traditional relevance. GUIDELINES ------------------ * Corpus: CommonCrawl News crawl from January, 1st 2020 to April 30th, 2020 (https://commoncrawl.org/2016/10/news-dataset-available/); * Topics: on COVID-19 within the consumer health search domain (people seeking health advice online); * Runs: runs may be either automatic or manual with the the standard TREC run format. Detailed guidelines on: https://trec-health-misinfo.github.io IMPORTANT DATES ----------------------------- * Registration closes: May 31, 2020 * Runs due from participants: August 2020 * Evaluation results returned: October 2020 * Notebook paper due: October 2020 * TREC 2020 Conference: November 18-20, 2020 * Final paper due: February 2021 ORGANIZERS -------------------- * Charles Clarke, University of Waterloo * Maria Maistro, University of Copenhagen * Mark Smucker, University of Waterloo * Guido Zuccon, University of Queensland CONTACT -------------------- For more information or to ask questions, join the google group: https://groups.google.com/forum/#!forum/trec-decision-track -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Thu May 21 23:10:30 2020 From: suashdeb at gmail.com (Suash Deb) Date: Fri, 22 May 2020 08:40:30 +0530 Subject: Connectionists: 1 month away - Submission ISCMI20(Stockholm) 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. *approx. 1 month away* http://iscmi.us You are warmly invited to submit your valued research findings for possible presentation/deliberation in Stockholm during the conference. Some of the pertinent info about the ISCMI conference are enumerated below: *Last conference* : 2019 lSCMl was held in Johannesburg, South Africa http://iscmi.us/ISCMI2019.html *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 sarathcse2008 at gmail.com Fri May 22 08:55:34 2020 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Fri, 22 May 2020 08:55:34 -0400 Subject: Connectionists: 2nd CfP: Fourth Workshop on Lifelong Learning @ICML 2020 Message-ID: Dear Colleagues, We would like to invite you to submit your work to the fourth Lifelong Learning Workshop at ICML 2020, which will be held virtually (due to COVID-19) on July 17/18, 2020. *The deadline has been extended to 10th June 2020 to accommodate the NeurIPS deadline extension.* IMPORTANT INFORMATION ************************************************ Website: https://lifelongml.github.io/ Date: 17 or 18 July 2020 Location: Virtual Submission deadline: 10th June 2020, 11:59 PM Anywhere on Earth KEYNOTE SPEAKERS ************************************************ - Katja Hofmann (Microsoft Research) - Irina Rish (University of Montreal) - Jurgen Schmiduber (IDSIA) - Rich Sutton (University of Alberta) - Partha Pratim Talukdar (Indian Institute of Science) SUBMISSION ************************************************ The submitted work should be between 4-8 pages (excluding references). Recently published (or under-review) work is also welcome. The submission should be in pdf format and should follow the style guidelines for ICML 2020 (found here ). The review process is double-blind, and the work should be submitted by the latest *10**th* June 2020, 11:59 PM (Anywhere on Earth). Submissions must be made using OpenReview . There will be no formal publication of workshop proceedings. However, the accepted papers will be made available online on the workshop website. Best paper awards (a total of 2000$) will be given to the highest-quality original submission(s) from students. AREAS OF INTEREST ************************************************ - Catastrophic forgetting - Capacity expansion techniques - Modularity and Compositionality for lifelong learning - Transfer Learning - Multi-task Learning - Curriculum Learning - Meta-Learning - New architectures for lifelong learning - Determine new, challenging benchmark domains - Using Hierarchical Abstractions to perform lifelong reinforcement learning (e.g., skills/options and state-space representations) WORKSHOP ORGANIZERS ************************************************ - Shagun Sodhani (Facebook AI Research) - Sarath Chandar (Polytechnique Montreal / Mila) - Balaraman Ravindran (Indian Institute of Technology) - Doina Precup (Mila / McGill University / DeepMind) We look forward to reviewing your submissions! Kind regards, Shagun, Sarath, Ravi, Doina Lifelong Learning Workshop organizers (Contact: lifelongml at gmail.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicolas.rougier at inria.fr Fri May 22 09:21:48 2020 From: nicolas.rougier at inria.fr (Nicolas P. Rougier) Date: Fri, 22 May 2020 15:21:48 +0200 Subject: Connectionists: Publication of the NeurIPS2019 Reproducibility Challenge reports Message-ID: Dear all, The accepted reports for the NeurIPS2019 Reproducibility challenge have just been published at https://rescience.github.io/read (volume 6, issue 2). All articles are open access with open code, data and reviews. Nicolas Rougier ReScience C Editor-in-chief From nicholas.cummins at ieee.org Fri May 22 10:13:41 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Fri, 22 May 2020 16:13:41 +0200 Subject: Connectionists: ICMI 2020: Final Call for Long and Short Papers Message-ID: *************************************** ICMI 2020: Final Call for Long and Short Papers http://icmi.acm.org/2020/index.php?id=cfp 25-29 Oct 2020, Utrecht, The Netherlands *************************************** COVID-19 update Dear all, We have not made a decision yet about the format of the conference, but we will in 2-3 weeks. We are doing our best to offer you the best ICMI experience possible that suits the current situation. To PhD students who are interested in the Doctoral Consortium (DC): the DC will take place whatever the format will be. Many (former) PhD students value the DC and the mentoring sessions and discussions - our plan is to keep this alive. Finally, we are inviting you to share your thoughts on ICMI2020 in COVID-19 times - if you have any idea or comment that you would like to share with the organization on the format of ICMI2020 in this current situation, please send an email to icmi2020-general-chairs at acm.org. Best, 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: August 7, 2020 Camera ready paper: September 2, 2020 Presenting at main conference: October 25-29, 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From midas at iiitd.ac.in Fri May 22 06:22:32 2020 From: midas at iiitd.ac.in (MIDAS Lab IIIT Delhi) Date: Fri, 22 May 2020 15:52:32 +0530 Subject: Connectionists: IEEE BigMM 2020 [Converted to Virtual]: Call for Papers (Final Paper Submission Deadline: 31 May) Message-ID: Dear Colleagues ************************************************************************* Final Regular Paper Submission Deadline: 31 May 2020 PST ************************************************************************* IEEE BigMM 2020 [Converted to Virtual] ************************************************************************* Due to the COVID-19 situation, the conference will now be converted into an all-digital conference experience. The dates of the conference will remain the same. Though we will miss the opportunity to meet in-person in New Delhi, India but this will help us to reduce the registration fee significantly. Moreover, due to the multiple requests from authors, the organizing committee has decided to extend the deadline for regular papers until May 31, 2020. Other tracks have further deadlines. 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. 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 Important Dates: http://bigmm2020.org/index.php/calls-for-submission/important-dates 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), in New Delhi, India 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 31, 2020 - Round-2 Regular/Industry/Short Paper Notification: July 6, 2020 - Demonstration/Student Consortium Paper Submission: June 8, 2020 - Demonstration/Student Consortium Paper Notification: July 6, 2020 - Workshop Paper Submission: July 10, 2020 - Workshop Paper Notification: July 31, 2020 - Grand Challenge Paper Submission: August 5, 2020 - Grand Challenge Paper Notification: August 10, 2020 - Camera-ready and Registration Deadline (Regular Papers): July 25, 2020 - Camera-ready and Registration Deadline (Workshop): August 5, 2020 - Camera-ready and Registration Deadline (Grand Challenge Papers): August 15, 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 helena at incf.org Fri May 22 05:52:56 2020 From: helena at incf.org (Helena Ledmyr) Date: Fri, 22 May 2020 11:52:56 +0200 Subject: Connectionists: Community review of two new standards now open Message-ID: INCF has two new community standards up for public review, and we are now soliciting input from the user community. The standards are the Neuroscience Information Exchange (NIX) and the Neuroimaging Data Model (NIDM)-Results. More information is available here: https://www.incf.org/comment-on-these-sbps *The mission of the INCF is to develop, evaluate, and endorse standards and best practices that embrace the principles of Open, FAIR, and Citable neuroscience. INCF also provides training on how standards and best practices facilitate reproducibility and enables the publishing of the entirety of research output, including data and code.* All the best Helena ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels v?g 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr at incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Fri May 22 18:13:31 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Fri, 22 May 2020 23:13:31 +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: <1cc184d7-1353-9176-64e7-fe09521ed1a5@isep.ipp.pt> 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 cgf at isep.ipp.pt Fri May 22 18:47:22 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Fri, 22 May 2020 23:47:22 +0100 Subject: Connectionists: [held online] Summer School on Machine Learning and Big Data with Quantum Computing, 7-8 September 2020 Message-ID: <01605c24-e4f8-c3e1-ae57-ee319788f655@isep.ipp.pt> Summer School on Machine Learning and Big Data with Quantum Computing (SMBQ 2020) Porto, Portugal, September 7-8, 2020 ##################################### Machine Learning (ML) is an Artificial Intelligence (AI) branch, that focuses on developing algorithms to teach how computers learn from data to make decisions or predictions. Deep Learning (DL) is part of a broader family of ML algorithms, that is based on artificial neural networks. Arguably, DL techniques demand for big amounts of data and, as such, they require huge computational resources and advanced processing techniques. Cloud Computing is a well-known alternative to deal with big amounts of data, since its elasticity allows for an efficient scalability of huge computational resources, such as, data storage and processing power. On the other hand, Quantum Computing is an advanced processing technique, that uses the fundamentals of quantum mechanics to accelerate the process of solving highly complex problems. SMBQ 2020 addresses the current trends in AI and in the computational techniques that deal with big data demands, together with, a powerful processing technique that will shape the future of computation. During 2 days, from 7-8 September 2020, we will introduce concepts, discuss the current trends and provide direct practical experience in hands-on lessons. For more information visit: https://smbq2020.dcc.fc.up.pt/ ##################################### Registration: Attendance is free, but it is required that participants register in advance by filling a form until 15 August, 2020. Prior to the event, information regarding the access of the live sessions will be sent to all registrants via email. The number of participants is limited, thus the registration process closes once the limit is reached. For any further information, please send a message to SMBQ2020. ##################################### Contact Persons: Carlos Ferreira, Polytechnic Institute of Porto, LIAAD - INESC TEC, E-mail: cgf at isep.ipp.pt Miguel Areias, University of Porto, CRACS - INESC TEC, E-mail: miguel-areias at dcc.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 m.biehl at rug.nl Sat May 23 02:37:56 2020 From: m.biehl at rug.nl (Michael Biehl) Date: Sat, 23 May 2020 08:37:56 +0200 Subject: Connectionists: e-print available: supervised learning under concept drift Message-ID: Dear Connectionists. We have studied models of supervised learning under concept drift using methods from the statistical physics of learning. We consider different drift scenarios in prototype-based classification and investigate the influence of drift and weight decay in layered neural networks for regression. A corresponding e-print is available at https://arxiv.org/abs/2005.10531: *Supervised Learning in the Presence of Concept DriftA modelling framework* M. Straat, F. Abadi, Z. Kan, C. G?pfert, B. Hammer, M. Biehl Abstract We present a modelling framework for the investigation of supervised learning in non-stationary environments. Specifically, we model two example types of learning systems: prototype-based Learning Vector Quantization (LVQ) for classification and shallow, layered neural networks for regression tasks. We investigate so-called student teacher scenarios in which the systems are trained from a stream of high-dimensional, labeled data. Properties of the target task are considered to be non-stationary due to drift processes while the training is performed. Different types of concept drift are studied, which affect the density of example inputs only, the target rule itself, or both. By applying methods from statistical physics, we develop a modelling framework for the mathematical analysis of the training dynamics in non-stationary environments. Our results show that standard LVQ algorithms are already suitable for the training in non-stationary environments to a certain extent. However, the application of weight decay as an explicit mechanismof forgetting does not improve the performance under the considered drift processes. Furthermore, we investigate gradient-based training of layered neural networks with sigmoidal activation functions and compare with the use of rectified linear units (ReLU). Our findings show that the sensitivity to concept drift and the effectiveness of weight decay differs significantly between the two types of activation function. ------------------------------------------------------------ Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From sabu.thampi at iiitmk.ac.in Sat May 23 13:07:19 2020 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Sat, 23 May 2020 22:37:19 +0530 Subject: Connectionists: ISTA'20, Chennai, India - Call for Papers - Journal Special Issue Message-ID: Apologies for cross-postings! Please forward to anyone who might be interested -------------------------------------------------------------------------------------------------- Sixth International Symposium on Intelligent Systems Technologies and Applications (ISTA'20) October 14-17, 2020, Chennai, India http://www.acn-conference.org/2020/ista2020/ Submission Deadline: June 30, 2020 Submission Link: https://edas.info/N27446 -------------------------------------------------------------------------------------------------- ISTA?20 aims to bring together researchers in related fields to explore and discuss various aspects of intelligent systems technologies and their applications. The Symposium will provide excellent opportunities for the presentation of interesting new research results and discussion about them, leading to knowledge transfer and the generation of new ideas. Prospective authors are invited to submit original unpublished work that is not currently under consideration for publication elsewhere via the various tracks hosted by ISTA?20: Track I: Intelligent Tools and Techniques Track II: Applications using Intelligent Techniques Track III: Intelligent Image Processing and Artificial Vision Track IV: Intelligent Techniques for Ad-hoc and Wireless Sensor Networks Track V: Business Intelligence and Big Data Analytics Track VI: Intelligent Distributed Computing Authors should submit their papers online through the EDAS conference management system. All submitted papers will be judged based on their originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability through double-blind reviewing, where the identities of the authors are withheld from the reviewers. The following publication options are available: -- Special Issue in Journal of Intelligent and Fuzzy Systems (JIFS), IOS Press, Netherlands (SCI Impact Factor 2019: 1.637). -- Publication in the prestigious Advances in Intelligent Systems and Computing Series (Springer, Germany) and SpringerLink Important Dates ---------------- Papers Due: June 30, 2020 Acceptance Notification: August 20, 2020 Final Paper Deadline: September 20, 2020 Contact Us: ista.symposium at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Sat May 23 06:15:10 2020 From: Francesco.Rea at iit.it (Francesco Rea) Date: Sat, 23 May 2020 10:15:10 +0000 Subject: Connectionists: =?iso-8859-1?q?=5Bjobs=5D___2_PHD_POSITIONS_IN_CO?= =?iso-8859-1?q?GNITIVE_ROBOTICS=2C_INTERACTION_AND_REHABILITATIONS_TECHNO?= =?iso-8859-1?q?LOGIES_AT_IIT_IN_COLLABORATION_WITH_UNIVERSIT=C0_DI_GENOVA?= =?iso-8859-1?q?_-_=5B_PhD_=5D?= Message-ID: IIT has established a collaboration with Universit? degli studi di Genova and funds 2 scholarships linked to 2 PhD positions available at the Phd Course in Bioengineering and Robotics, curriculum Cognitive Robotics, Interaction and Rehabilitations Technologies jointly organized with the Department of Informatics, Bioengineering, Robotics, and Systems Engineering of the Universit?. Research and training activities are jointly conducted between the University and IIT infrastructures in Genoa, at the Robotics Brain and Cognitive Sciences Research line, led by its Principal Investigator, Giulio Sandini. The proposed research themes are the following: https://www.iit.it/.../ph.../770-SANDINI-BR-CRIRT-themes-36/file Successful candidates will be part of an exciting and international working environment and will work in brand new laboratories equipped with state-of-the-art instrumentation. Excellent communication skills in English, as well as ability to interact effectively with members of the research team, are mandatory. In order to apply for these positions, it is mandatory to refer to the procedures administered by the Universit? degli studi di Genova. The official call is available at this link: https://unige.it/usg/it/dottorati-di-ricerca The web page offers on separate files Notice of public examinations; The Annex A, which lists all courses, places and grants For further information check the e-mail addresses available in the Research themes file Please, apply before deadline: 15 JUNE 2020 12:00 (noon - Italian time); the application process is not immediate: don't wait for the final day -------------- next part -------------- An HTML attachment was scrubbed... URL: From EPNSugan at ntu.edu.sg Sat May 23 10:31:08 2020 From: EPNSugan at ntu.edu.sg (Ponnuthurai Nagaratnam Suganthan) Date: Sat, 23 May 2020 14:31:08 +0000 Subject: Connectionists: ASOC J (Imp. Factor = 4.8) Special Issue on "Randomization-based learning Algorithms and applications" Message-ID: Dear Colleague, We look forward to your participation in the "Randomization-Based Learning Algorithms and Their Applications" Special Issue in the Applied Soft Computing Journal (Elsevier, Impact Factor - 4.8). Submission is open now. Topics of interests are listed below. Please feel free to forward to your collaborators. Please email your intention to submit to epnsugan at ntu.edu.sg More details from: https://www3.ntu.edu.sg/home/epnsugan/index_files/SI-CFP-ASOC.pdf Topics of interests include random vector functional link (RVFL), echo state networks (ESN), liquid state networks (LSN), kernel ridge regression (KRR) with randomization, extreme learning machines (ELM), random forests (RF), Randomized convolutional neural networks, Randomized internal representation learning, Regression, classification and time series analysis by randomization-based methods, Kernel methods (kernel ridge regression, kernel adaptive filters) with randomization, Feedforward, recurrent, multilayer, deep and other structures with randomization, Ensemble learning with randomization, Moore-Penrose pseudo inverse, SVD and other solution procedures, Gaussian process regression, Randomization-based methods for large-scale problems with and without kernels, Theoretical analysis of randomization-based methods, Comparative studies with competing methods with or without randomization, Applications of randomized methods in domains such as power systems, biomedical, finance, signal processing, big data and all other relevant areas and so on. Thank you Suganthan https://www.ntu.edu.sg/home/epnsugan https://github.com/P-N-Suganthan ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From EPNSugan at ntu.edu.sg Sat May 23 10:34:01 2020 From: EPNSugan at ntu.edu.sg (Ponnuthurai Nagaratnam Suganthan) Date: Sat, 23 May 2020 14:34:01 +0000 Subject: Connectionists: ICONIP 2020 SS on "Randomization-based learning Algorithms and applications" Message-ID: Dear Colleague, We look forward to your participation in the "Randomization-Based Learning Algorithms and Their Applications" Special Session at ICONIP 2020 in Bangkok, Thailand during 18-22 November. Online presentation is possible/encouraged. Topics of interests are listed below. Please feel free to forward to your collaborators. Please email your intention to submit to epnsugan at ntu.edu.sg More details from: https://www.apnns.org/ICONIP2020/ Topics of interests include random vector functional link (RVFL), echo state networks (ESN), liquid state networks (LSN), kernel ridge regression (KRR) with randomization, extreme learning machines (ELM), random forests (RF), Randomized convolutional neural networks, Randomized internal representation learning, Regression, classification and time series analysis by randomization-based methods, Kernel methods (kernel ridge regression, kernel adaptive filters) with randomization, Feedforward, recurrent, multilayer, deep and other structures with randomization, Ensemble learning with randomization, Moore-Penrose pseudo inverse, SVD and other solution procedures, Gaussian process regression, Randomization-based methods for large-scale problems with and without kernels, Theoretical analysis of randomization-based methods, Comparative studies with competing methods with or without randomization, Applications of randomized methods in domains such as power systems, biomedical, finance, signal processing, big data and all other relevant areas and so on. Thank you Suganthan https://www.ntu.edu.sg/home/epnsugan https://github.com/P-N-Suganthan ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From EPNSugan at ntu.edu.sg Sat May 23 10:34:22 2020 From: EPNSugan at ntu.edu.sg (Ponnuthurai Nagaratnam Suganthan) Date: Sat, 23 May 2020 14:34:22 +0000 Subject: Connectionists: ICNC 2020 SS on "Randomization-based learning Algorithms and applications" In-Reply-To: References: Message-ID: Dear Colleague, We look forward to your participation in the "Randomization-Based Learning Algorithms and Applications" Special Session at ICNC 2020 in Xi'an during 1-3 Aug. Online presentation is possible/encouraged. Topics of interests are listed below. Please feel free to forward to your collaborators. Please email your intention to submit to epnsugan at ntu.edu.sg More details from: https://www3.ntu.edu.sg/home/epnsugan/index_files/SS-CFP-Randomized-Deep-Shallow-Learning.pdf And https://icnc-fskd.sust.edu.cn/index.htm Topics of interests include random vector functional link (RVFL), echo state networks (ESN), liquid state networks (LSN), kernel ridge regression (KRR) with randomization, extreme learning machines (ELM), random forests (RF), Randomized convolutional neural networks, Randomized internal representation learning, Regression, classification and time series analysis by randomization-based methods, Kernel methods (kernel ridge regression, kernel adaptive filters) with randomization, Feedforward, recurrent, multilayer, deep and other structures with randomization, Ensemble learning with randomization, Moore-Penrose pseudo inverse, SVD and other solution procedures, Gaussian process regression, Randomization-based methods for large-scale problems with and without kernels, Theoretical analysis of randomization-based methods, Comparative studies with competing methods with or without randomization, Applications of randomized methods in domains such as power systems, biomedical, finance, signal processing, big data and all other relevant areas and so on. Thank you Suganthan https://www.ntu.edu.sg/home/epnsugan https://github.com/P-N-Suganthan ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Sun May 24 04:37:24 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Sun, 24 May 2020 10:37:24 +0200 Subject: Connectionists: =?utf-8?q?Call_for_Papers=3A_The_6th_Internationa?= =?utf-8?q?l_Conference_on_Machine_Learning=2C_Optimization_=26_Dat?= =?utf-8?q?a_Science_=E2=80=93_July_19-23=2C_2020_=E2=80=93_Certosa?= =?utf-8?q?_di_Pontignano=2C_Siena=2C_Italy_-_Paper_Submission_Dead?= =?utf-8?q?line=3A_June_4?= Message-ID: Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees. The 6th International Conference on Machine Learning, Optimization, and Data Science ? July 19-23, 2020 ? Certosa di Pontignano, Siena ? Tuscany, Italy An multidisciplinarydisciplinary Conference: Machine Learning, Optimization, Big Data & Artificial Intelligence without Borders >From 2015, the LOD Conference brings academics, researchers and industrial researchers together in a unique multidisciplinary community to discuss the state of the art and the latest advances in the integration of machine learning, optimization and data science to provide the scientific and technological foundations for explainable and trustworthy AI adopting, from 2017, the Asilomar AI Principles. The 6th Annual Conference on machine Learning, Optimization and Data science (LOD) is a international conference on machine learning, computational optimization, data science that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers. The International Conference on Machine Learning, Optimization, and Data Science (LOD) has established itself as a premier interdisciplinary conference in machine learning, computational optimization and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences. We invite submissions of papers, abstracts, posters and demos on all topics related to Machine learning, Optimization and Data Science including real-world applications for the Conference proceedings ? Springer Lecture Notes in Computer Science. LOD 2020 an On-Site & On-Line Conference! After numerous discussions, we have concluded that holding the event this year in mixed form both in presence (like previous editions) and virtual is more advantageous than postponing it until next year. In order to accommodate a large number of situations and constraints, we are offering the option for either physical presence or virtual participation. We would be delighted if all authors and participants manage to attend, but are aware that special circumstances are best handled by having flexible options. The Conference, hence, will be held in presence with virtual rooms for authors and participants using remote connection (e.g., Zoom or MS Teams). The online lectures (e.g., live presentations and/or recorded ones) will be made possible. W: https://lod2020.icas.xyz E: lod at icas.cc EC: https://easychair.org/conferences/?conf=lod2020 FB: https://www.facebook.com/groups/2236577489686309/ News: https://lod2020.icas.xyz/category/news/ Important Date: * Paper Submission Deadline: June 4 ? Anywhere on Earth. * Early Registration: June 30 KEYNOTE SPEAKERS: * Pierre Baldi, University of California Irvine, USA * Yoshua Bengio, Universit? de Montr?al, Canada - A.M. Turing Award 2018 LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 * Nando de Freitas, Google DeepMind, London, UK & Oxford University, UK * Marco Gori, University of Siena, Italy * Marta Kwiatkowska, University of Oxford, UK * Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany * Panos Pardalos, University of Florida, USA * Tomaso Poggio, MIT, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 * Raniero Romagnoli, Almawave, Italy * Cristina Savin, Center for Neural Science, New York University, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 * Tali Tishby, The Hebrew University, Israel LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 More Keynote Speakers Coming soon! Tutorial Speakers * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Vincenzo Sciacca, Almawave, Italy Tutorial on "Natural Language Processing and Deep Learning" More Tutorial Speakers Coming soon! SATELLITE WORKSHOPS I) Satellite Workshop on "Biologically Plausible Learning" on July 19 https://lod2020.icas.xyz/workshop-on-biologically-plausible-learning/ Chair: Marco Gori, University of Siena, Italy Keynote Speaker: * Pierre Baldi, University of California Irvine, USA * Yoshua Bengio, Universit? de Montr?al, Canada - A.M. Turing Award 2018 * Tomaso Poggio, MIT, USA * Cristina Savin, Center for Neural Science, New York University, USA * Tali Tishby, The Hebrew University, Israel Paper Submission Deadline: June 4 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 II) Workshop on ?Integrative Machine Learning? Chair: Marco Gori, University of Siena, Italy https://lod2020.icas.xyz/workshop-on-integrative-machine-learning/ Paper Submission Deadline: June 4 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 SPECIAL SESSIONS: https://lod2020.icas.xyz/special-sessions/ * Big data in Economics and Finance Organized by the Big Data and Forecasting of Economic Developments project (bigNOMICS) of the Centre for Advanced Studies of the European Commission, Joint Research Centre. Chairs: Sergio Consoli, Luca Barbaglia, Luca Tiozzo Pezzoli * Industrial Session Chairs: Vincenzo Sciacca ? Almawave, Giovanni Giuffrida ? Neodata. * Special Session on Explainable Artificial Intelligence Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications. https://robotics.sciencemag.org/content/4/37/eaay7120 * Multi-Objective Optimization (MOO) & Multi Criteria Decision Aiding (MCDA) * The 7 Special Sessions on Machine Learning Multi-Task Learning Reinforcement Learning Deep Learning Generative Adversarial Networks Deep Neuroevolution Networks with Memory Learning from Less Data and Building Smaller Models * The 7 Special Session on Data Science and Artificial Intelligence Simulation Environments to understand how AI Systems Learn Chatbots and Conversational Agents Data Science at Scale & Data in the Cloud Urban Informatics & Data-Driven Modelling of Complex Systems Data-centric Engineering Data Security, Traceability of Information & GDPR Economic Data Science Special Session Paper Submission Deadline: June 4 ? Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 BEST PAPER AWARD Springer sponsors the LOD 2020 Best Paper Award with a cash prize of 1,000 Euro. https://lod2020.icas.xyz/best-paper-award/ PROGRAM COMMITTEE 500+ confirmed PC members! Breaking the record of the last edition of LOD! https://lod2020.icas.xyz/program-committee/ BIG DATA CHALLENGE Our sponsor, Neodata Lab, will offer a prize of ?2000 to the applicant who develops the most accurate algorithm to process the following problem. https://lod2020.icas.xyz/lod-2020-challenge/ See you in Siena next July! Best regards, LOD 2020 Organizing Committee W: https://lod2020.icas.xyz E: lod at icas.cc EC: https://easychair.org/cfp/LOD2020 FB: https://www.facebook.com/groups/2236577489686309/ T: https://twitter.com/TaoSciences L: https://www.linkedin.com/groups/12092025/ News: https://lod2020.icas.xyz/category/news/ * Apologies for multiple copies. Please forward to anybody who might be interested * Past Editions https://lod2020.icas.xyz/past-editions/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sun May 24 17:33:27 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 24 May 2020 23:33:27 +0200 Subject: Connectionists: Fwd: CFP: Information Systems and Technologies IST'2020 -- IEEE Event (Digital Library publication) -- telepresence possible -- 29.05.2020 In-Reply-To: References: Message-ID: COVID-19 Information (NEW SUBMISSION DEADLINE, REDUCED FEES FOR REMOTE PARTICIPATION) First, 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. Second, due to epidemiological situation (e.g. recent regulations put in place by the Bulgarian Government), it is extremely likely that the conference will be organized fully remotely. As a matter of fact, we are already actively exploring best ways of realizing a scientific-tele-conference. Third, in the likely case of running FedCSIS as a remote-access conference, fees will be substantially reduced (details soon). We look forward to receiving your contributions as usual, and guarantee that (regardless of circumstances) FedCSIS 2020 will be another memorable and rewarding conference. FedCSIS organizers *********************************************************************************** CALL FOR PAPERS Information Systems and Technologies IST'2020 Track 4 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). 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: -- Regular paper submission: May 29, 2020 (fixed - no extensions) -- Position paper submission: June 23, 2020 (with option of regular paper submission - if discussed with chairs) -- Acceptance notification: July 15, 2020 -- Final paper submission and author registration: July 30, 2020 -- Conference dates: 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 sameer at uci.edu Sun May 24 19:09:04 2020 From: sameer at uci.edu (Sameer Singh) Date: Sun, 24 May 2020 16:09:04 -0700 Subject: Connectionists: Virtual Symposium on Reproducibility in Machine Learning Message-ID: UCI Symposium on Reproducibility in Machine Learning *June 10th, 2020*, 9am to 1pm Pacific Time Registration: https://forms.gle/rBbvVKQr1rRPDGxe9 Program details: https://uci-ml-repo.github.io/events/reprod-symposium20/ Stream link available after registration Please join us online for a half-day symposium on the topic of reproducibility in machine learning. The event will consist of 4 invited talks plus a panel discussion from thought-leaders in this area: - Kyle Cranmer (NYU): Reusable workflows, active learning, and simulation-based inference - Percy Liang (Stanford): CodaLab: a platform for efficient collaborative research - Victoria Stodden (UIUC): Reproducibility matters even if models can discriminate perfectly between chihuahuas and blueberry muffins - Joaquin Vanschoren (Eindhoven University of Technology): Sharing and reproducing machine learning experiments with OpenML Organizers: Sameer Singh and Padhraic Smyth, UCI -- Sameer Singh Assistant Professor, Computer Science University of California, Irvine http://sameersingh.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From cvernall at stanford.edu Sun May 24 18:39:32 2020 From: cvernall at stanford.edu (Carol S Vernallis) Date: Sun, 24 May 2020 22:39:32 +0000 Subject: Connectionists: Fw: Call for Submissions - Cybermedia: Scientists and Humanists Face the Machines In-Reply-To: References: Message-ID: To the Connectionists listserv: I'm now part of the listserv. Could you post the below? Best wishes, Carol Carol Vernallis, Ph.D. Department of Music Stanford University Stanford, CA 94305 (650)326-1705 ________________________________ From: Carol S Vernallis Sent: Monday, May 18, 2020 9:59 PM To: connectionists at mailman.srv.cs.cmu.edu Subject: Call for Submissions - Cybermedia: Scientists and Humanists Face the Machines Selmin Kara, Holly Rogers, and I are looking for a few more contributors to our collection Cybermedia: Scientists and Humanists Face the Machines (under contract with Bloomsbury). We have enough chapters by humanists, who?ve provided close analyses of shows and films like Westworld, Black Mirror, Mr. Robot, Under the Skin, and Random Acts of Flyness. We?re looking for several more scientists, or humanists who will co-write with them, to elucidate the workings of neuroscience, AI, quantum physics, robotics, and so on in these works. Pieces can be short and draw on previously published research (1,000-3,000 words - to be placed alongside the close readings). An interview format is fine. If you?re interested, please email Carol Vernallis at cvernall at stanford.edu (links to Carol's, Holly's, and Selmin's books). Best wishes, Carol, Holly, and Selmin Carol Vernallis, Ph.D. Department of Music Stanford University Stanford, CA 94305 (650)326-1705 -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Sun May 24 12:29:21 2020 From: gangluo at cs.wisc.edu (GANG LUO) Date: Sun, 24 May 2020 16:29:21 +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 iscmi.2020 at gmail.com Sun May 24 18:28:08 2020 From: iscmi.2020 at gmail.com (ISCMI Publicity) Date: Mon, 25 May 2020 00:28:08 +0200 Subject: Connectionists: CFP - ISCMI 2020, Stockholm (Deadline within a month) 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! 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URL: From jonizhong at msn.com Sun May 24 23:23:13 2020 From: jonizhong at msn.com (Joni Zhong) Date: Mon, 25 May 2020 03:23:13 +0000 Subject: Connectionists: [CFP] Final CFP: SMC 2020 Special Session: Human-in-the-loop Machine Learning and Its Applications Message-ID: Toronto, Canada, OCT 11-14, 2020 Deadline: May 31st, 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: May 31, 2020 (extended) - Acceptance Notification: June 15, 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 juffi at faw.jku.at Mon May 25 05:49:13 2020 From: juffi at faw.jku.at (=?UTF-8?Q?Johannes_F=c3=bcrnkranz?=) Date: Mon, 25 May 2020 11:49:13 +0200 Subject: Connectionists: Position in Intepretable ML @ JKU Linz Message-ID: <6f579fd7-e652-8ec8-f818-3a206868cbb4@faw.jku.at> The full call can be found here: https://www.jku.at/en/faw/about-us/open-positions/ We are currently looking for post-doctoral researchers in machine learning, game playing or knowledge discovery in databases for the Computational Data Analysis group of Prof. Johannes F?rnkranz. Exceptionally well qualified doctoral students may also apply. We are particularly interested in researchers in one or more of the following areas * Interpretability in ML * Inductive Rule Learning * Preference Learning * Multi-Label Classification * Data Mining and Knowledge Discovery * Machine Learning and Game Playing * Monte-Carlo Tree Search _Requirements_ - Ph. D. in Computer Science or a related area (Master is sufficient if exceptionally well qualified) - Strong background and track record in machine learning, game playing, or knowledge discovery - Willingness and ability to work in a team and to support students and lectures _How to apply_ Please provide us with - a CV, including a publication list - a research statement describing how you would position your work with respect to one or more of the above-mentioned areas - up to 3 sample publications These materials need to be submitted via the JKU on-line portal (http://jku.at/application). Please specify job reference number 3990 in your application. The position is open until filled. If you have questions, please contact Prof. Johannes F?rnkranz. -- Johannes F?rnkranz Computational Data Analytics Johannes Kepler University Linz From dimitrije.markovic at tu-dresden.de Mon May 25 05:35:40 2020 From: dimitrije.markovic at tu-dresden.de (Dimitrije Markovic) Date: Mon, 25 May 2020 09:35:40 +0000 Subject: Connectionists: Deadline extension: Special Entropy Issue "Information Theory in Computational Neuroscience" Message-ID: <1590399340796.84698@tu-dresden.de> Dear Colleagues, We cordially invite you to submit a manuscript for possible publication in a Special Issue on "Information Theory in Computational Neuroscience" to be published in the journal Entropy (ISSN 1099-4300, IF 2.419, http://www.mdpi.com/journal/entropy). The aim of the Special Issue is to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. You can see full details of the scope and submission details at: https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscience The submission deadline is 30 September 2020. You may send your manuscript at any time before the deadline or a bit later. Submitted papers should not be under consideration for publication elsewhere. Entropy is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Please kindly note that an Article Processing Charge (APC) of CHF 1600 currently applies to all accepted papers. Fortunately, it is noticed that your institute have already had a central open access fund established in MDPI's Institutional Open Access Program, it means you do not have to pay the publication fees and your institute will cover it for you if you submit your papers to MDPI journals (see details at: ). You may contact your library and confirm this. Please do not hesitate to come back to us if there is anything further that we can help with. We look forward to hearing from you. Kind regards, Dimitrije Markovic and Claudius Gros ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universit?t Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ ============================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Mon May 25 06:08:02 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 25 May 2020 12:08:02 +0200 Subject: Connectionists: CfP: ACAIN2020, the 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience, September 28 - October 2, 2020, The Wordsworth Hotel & SPA, Grasmere, Lake District, England - Deadline: May 31 Message-ID: ________________________________________________________________ Call for Participation & Call for Papers (apologies for multiple copies) ________________________________________________________________ News The ACAIN 2020 Symposium Proceedings will be published by Springer LNCS/LNAI! https://acain2020.artificial-intelligence-sas.org/category/news/ The 1st International Advanced Course & Symposium on Artificial Intelligence & Neuroscience September 28 - October 2, 2020 The Wordsworth Hotel & SPA, Grasmere, Lake District, England - UK ?Marriage of Mind and Machine: Bringing together artificial intelligence and neuroscience promises to yield benefits for both fields?, Nature, Vol. 571, 2019. W: https://acain2020.artificial-intelligence-sas.org E: acain at artificial-intelligence-sas.org EC: https://easychair.org/conferences/?conf=acain2020 FB: https://www.facebook.com/events/669587717185083/ EARLY REGISTRATION DEADLINE: 31 May https://acain2020.artificial-intelligence-sas.org/registration/ PAPER SUBMISSION DEADLINE: 31 May 2020 https://acain2020.artificial-intelligence-sas.org/the-symposium/ SCOPE & MOTIVATION: The ACAIN 2020 is aimed at AI experts, neuroscientists and both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2020 will be a special opportunity to hear about cutting-edge research by leading scientists in #AI and #Neuroscience. The two days of keynote talks and oral presentations (the ACAIN Symposium, 1-2 October,2020) will be preceded by lectures of leading scientists (the ACAIN Course, 28-30 September,2020) for students and newcomers to this interdisciplinary field. Bringing together AI and neuroscience promises to yield benefits for both fields. The future impact and progress in both AI and Neuroscience will strongly depend on a more efficient synergy and cooperation between the two research communities. These are the goals of the International Course and Symposium ? ACAIN 2020, which is aimed both at AI experts with interests in Neuroscience and at neuroscientists with an interest in AI. ACAIN 2020 will be a special opportunity to hear about cutting-edge research by leading scientists in both fields. The two days of keynote talks and oral presentations (the Symposium) will be preceded by two days of lectures (the Course) for students and newcomers to this interdisciplinary field. Moreover, ICAN 2020 accepts rigorous research that promotes and fosters multidisciplinary interactions between artificial intelligence and neuroscience. The International Symposium Proceedings will be published by Springer. Papers will appear in a volume of the Lecture Notes in Computer Science (LNCS) - Lecture Notes in Artificial Intelligence (LNAI) series. Topics of Interest include, bu are not limited to: Artificial Intelligence Asilomar AI Principles Neuroscience Brain-Behavior Interactions Cognition & Artificial Intelligence Cognitive Computing Cognitive Neuroscience Cognitive Robotics Cognitive Science Computational Cognitive Science Computational Modeling of the Nervous System Computational Neuroscience Creativity & Artificial Intelligence Deep Learning Epistemic Planning Ethics for Autonomous Systems Explainable Artificial Intelligence General Reinforcement Learning Algorithms Generative Adversarial Networks Human-Level Artificial Intelligence Human-Robot Interaction Machine Learning Neural data Analysis Methods Neuroinformatics Neurotechnology Probabilistic Generative Models Probabilistic Programming Reinforcement Learning Robotics Symbolic AI & Deep Learning Systems Neuroscience Theory of Deep Learning COURSE DESCRIPTION: https://acain2020.artificial-intelligence-sas.org/course-description/ LECTURERS (TBA): Each Lecturer will hold three/four lessons on a specific topic. SYMPOSIUM CALL FOR PAPER: https://acain2020.artificial-intelligence-sas.org/the-symposium/ SYMPOSIUM PROGRAM COMMITTEE (partial list, 50+ confirmed members): https://acain2020.artificial-intelligence-sas.org/program-committee/ SPECIAL SESSION: https://acain2020.artificial-intelligence-sas.org/special-sessions/ "Free Will in Artificial Intelligence: What volition neuroscience says about free behaviour and implications for the design of autonomous artificial intelligence agents" Organizer and Chair: Catalin Mitelut, Center for Theoretical Neuroscience, Columbia University, New York, USA cm3746 at columbia.edu The human capacity for free will or volitional (i.e. voluntary) behaviour has intrigued scientists and philosophers for thousands of years. Over the last few decades, neuroscientists have uncovered many neural correlates of voluntary behaviours and identified several decision stages involving specific neuroanatomy and dynamics (Haggard 2008). While a reward-optimized decision framework lies at the core of most fast decisions it is supported by slower time-course motivational systems that identify long-term needs (e.g. feeding, offspring care; Maslow 1943, Kenrick 2010). In the absence of naturally evolved motivational drives, autonomous general artificial agents will require the design of motivational systems that will pose unique challenges to our understanding of free will while offering creative opportunities. This symposium seeks submissions focusing on extending evolutionary biology and the neuroscience of volition towards the design of internally motivated, freely behaving autonomous artificial agents. Paper & Abstract submission deadline: May 31, 2020 (Anywhere on Earth) Paper notification: July 15, 2020 Submission site: https://easychair.org/conferences/?conf=acain2020 DEADLINES: Course Deadlines: Registration Deadline (Course) May 31, 2020 Oral/Poster Presentation Submission (Course): May 31, 2020. Notification of Decision for Oral/Poster Presentation (Course): by June 10, 2020. Symposium Deadlines: Paper Submission (Symposium): May 31, 2020. Notification of Decision for Papers (Symposium): July 15, 2020 Early Registration (Symposium): Until July 15, 2020. Late Registration (Symposium): After July 15, 2020 ORGANIZING COMMITTEE: https://acain2020.artificial-intelligence-sas.org/organization/ VENUE & ACCOMMODATION: The Wordsworth Hotel & Spa (****) Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK P: +44-1539-435592 E: enquiry at thewordsworthhotel.co.uk W: www.thewordsworthhotel.co.uk Please contact Ionela Oanea: Ionela.oanea at thewordsworthhotel.co.uk or Rachael Tigwell: rachael.tigwell at thewordsworthhotel.co.uk You need to book your accommodation at the venue and pay the amount for accommodation, meals directly to the Wordsworth Hotel & SPA. Here the Form for accommodation, all meals (all breakfasts, lunches, dinners): https://acain2020.artificial-intelligence-sas.org/wp-content/uploads/sites/14/2020/02/Grasmere-2020-Accommodation-Form.pdf ACCOMMODATION: https://acain2020.artificial-intelligence-sas.org/accommodation/ REGISTRATION: https://acain2020.artificial-intelligence-sas.org/registration/ See you in Lake District next Autumn! ACAIN 2020 Organizing Committee. News: https://acain2020.artificial-intelligence-sas.org/category/news/ W: https://acain2020.artificial-intelligence-sas.org E: acain at artificial-intelligence-sas.org FB: https://www.facebook.com/events/669587717185083/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From leah at labvanced.com Mon May 25 07:28:55 2020 From: leah at labvanced.com (Lee Leah) Date: Mon, 25 May 2020 13:28:55 +0200 Subject: Connectionists: What makes Labvanced unique in terms of features Message-ID: <901121590405904@mail.yandex.com> An HTML attachment was scrubbed... URL: From anna.gld at gmail.com Mon May 25 08:42:51 2020 From: anna.gld at gmail.com (Anna Rogers) Date: Mon, 25 May 2020 08:42:51 -0400 Subject: Connectionists: CFP: Workshop on Insights from Negative Results (EMNLP 2020) Message-ID: * (apologies for cross-posting) Call For Papers: Workshop on Insights from Negative Results (Nov 19 2020, co-located with EMNLP 2020) Workshop website:https://insights-workshop.github.io/ ======= Overview ======= Publication of negative results is difficult in most fields, but in NLP the problem is exacerbated by the near-universal focus on improvements in benchmarks. This situation implicitly discourages hypothesis-driven research, and it turns creation and fine-tuning of NLP models into art rather than science. Furthermore, it increases the time, effort, and carbon emissions spent on developing and tuning models, as the researchers have no opportunity to learn what has already been tried and failed. This workshop invites both practical and theoretical unexpected or negative results that have important implications for future research, highlight methodological issues with existing approaches, and/or point out pervasive misunderstandings or bad practices. In particular, the most successful NLP models currently rely on different kinds of pretrained meaning representations (from word embeddings to Transformer-based models like BERT). To complement all the success stories, it would be insightful to see where and possibly why they fail. Any NLP tasks are welcome: sequence labeling, question answering, inference, dialogue, machine translation - you name it. A successful negative results paper would contribute one of the following: * experiments on (in)stability of the previously published results due to hardware, random initializations, etc.; * ablation studies of components in previously proposed models, showing that their contributions are different from the initially reported; * datasets or probing tasks showing that previous approaches do not generalize to other domains or language phenomena; * extensions or annotations of existing datasets which show that prior successes are due to spurious statistical factors or annotation artifacts; * the respective contributions of pre-training vs fine-tuning to the end result; * cross-lingual studies showing that a technique X is only successful for a certain language or language family; * broadly applicable recommendations for training/fine-tuning, especially if the X that didn?t work is something that many practitioners would think reasonable to try, and if the demonstration of X?s failure is accompanied by some explanation/hypothesis. Some examples of insightful negative results papers are listed on the workshop website: https://insights-workshop.github.io/papers ============ Important Dates ============ * Anonymity period begins: July 15, 2020 * Submission deadline: August 15, 2020 * Notification of acceptance: September 29, 2020 * Camera-ready papers due: October 10, 2020 * Workshop: November 19, 2020 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). ========== Submissions ========== Submission is electronic, using the Softconf START conference management system. Submission link:https://www.softconf.com/emnlp2020/insights2020/ Both long and short papers must follow the EMNLP 2020 two-column format. Official style sheets:https://2020.emnlp.org/files/emnlp2020-templates.zip Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. The workshop will accept short papers (up to 4 pages), as well as 1-2 page non-archival abstract submissions for papers published elsewhere (e.g. in one of the main conferences or in non-NLP venues). The goal of this event is to stimulate a meaningful community-wide discussion of the deep issues in NLP methodology, and the authors of both types of submissions will be welcome to take part in our virtual get-togethers. ======== Authorship ======== The author list for submissions should include all (and only) individuals who made substantial contributions to the work presented. No changes to the order or composition of authorship may be made after the paper submission deadline. =================== Citation and Comparison =================== You are expected to cite all refereed publications relevant to your submission, but you may be excused for not knowing about all unpublished work (especially work that has been recently posted and/or is not widely cited). In cases where a preprint has been superseded by a refereed publication, the refereed publication should be cited instead of the preprint version. Papers (whether refereed or not) appearing less than 3 months before the submission deadline are considered contemporaneous to your submission, and you are therefore not obliged to make detailed comparisons that require additional experimentation and/or in-depth analysis. For more information, see the ACL Policies for Submission, Review, and Citation. =================================== Multiple Submission Policy and Fast-Tracking =================================== We welcome dual submissions, as long as they are specified at the time of submission time. The authors submitting a paper that is under review for EMNLP 2020 should specify that in the submission form. The organizers would then be able to access the reviews and may decide to fast-track the paper to the workshop without additional reviews, if the paper is rejected from the main conference. If the paper has been rejected from another venue, the authors will have the option to provide the original reviews and the author response. The new reviewers will not have access to this information, but the organizers will be able to take into account the fact that the paper has already been revised and improved. =============== NEW: Ethics Policy =============== EMNLP workshops follow the conference guidelines for honouring the ACM Code of Ethics: https://www.acm.org/code-of-ethics Per conference guidelines, a paper that may raise ethical issues needs to explicitly discuss them, and that discussion will be taken into account in the review process. Specific to the topic of negative results is the problem of revisiting published papers that cannot be reproduced. In most cases irreproducibility comes down to general methodological problems, but if you have reason to believe the unreproducible result was deliberately fabricated, that should be discussed. =========== Reproducibility =========== Publishing negative results is not easy, partly because the author has the burden of proof that something truly does not work, rather than is caused by a bug. We encourage the authors to link code repositories in the camera-ready versions. At submission time, each submission can be accompanied by one PDF appendix for the paper, one PDF for prior reviews and author response, one .tgz or .zip archive containing software, and one.tgz or .zip archive containing data (all fully anonymized). The appendix can document preprocessing decisions, model parameters, feature templates, lengthy proofs or derivations, pseudocode, sample system inputs/outputs, and other details that are necessary for the exact replication of the work (see the official EMNLP reproducibility guidelines). However, the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review or download them. ============= Anonymity Period ============= We follow EMNLP anonymity policy. The anonymity period runs from 1 month before the submission deadline (starting July 15, 2020) up to the date when your paper is accepted or rejected (September 29, 2020). The papers should be properly anonymized and not publicized up until the acceptance notifications come out. ========== Presentation ========== All accepted papers must be presented at the workshop to appear in the proceedings. Authors of accepted papers must notify the program chairs by the camera-ready deadline if they wish to withdraw the paper. At least one author of each accepted paper must register for the workshop. Previous presentations of the work (e.g. preprints on arXiv.org) should be noted in a footnote in the camera-ready version (but not in the anonymized version of the paper). The workshop will take place online on November 19 2020, incorporating the best practices from other online conferences this year (such as ICLR). For now we are expecting to have pre-recorded oral presentations of the papers, asynchronous Q&A sessions (in which more than one author for each paper can take part), and also community discussion sessions and/or panels. * -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Mon May 25 10:35:19 2020 From: hongzhi.kuai at gmail.com (H.Z. Kuai) Date: Mon, 25 May 2020 23:35:19 +0900 Subject: Connectionists: Call for Papers: IEEE/WIC/ACM WI-IAT 2020 Message-ID: [Apologies if you receive this more than once] +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'20) 14-17 December 2020, Melbourne, Australia Homepage: http://wi2020.vcrab.com.au/ Web Intelligence (WI) = AI in the Connected World +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *** SPECIAL NOTICE ? CORONAVIRUS (COVID-19) *** The safety and well-being of all conference participants is our priority. After studying and evaluating the announcements, guidelines, and news released by relevant national departments, we have decided, along with guidance from the IEEE CS Leadership, that WI-IAT 2020 will continue as scheduled on 14-17 December, by being converted to a possible fully virtual conference focusing on the theme of "WI = AI in the Connected World", with a Special Track on e-Health and COVID-19. As we expect, WI-IAT 2021 will take place physically in Melbourne. With Best Regards, WI-IAT 2020 General Chairs Yuefeng Li, Rainer Unland, Eugene Santos Jr. JOURNAL OPPORTUNITIES (possible post conference publication) +++++++++++++++++++++ - Web Intelligence Journal ( https://www.iospress.nl/journal/web-intelligence-and-agent-systems/) Publisher: IOS Press - World Wide Web Journal ( https://www.springer.com/journal/11280/updates/17869608) Special Issue on "Web Intelligence = Artificial Intelligence in the Connected World" Publisher: Springer Nature - Information Fusion ( https://www.sciencedirect.com/journal/information-fusion) Publisher: Elsevier - International Journal of Information Technology & Decision Making ( https://www.worldscientific.com/worldscinet/ijitdm) Publisher: World Scientific - Concurrency and Computation: Practice and Experience ( https://onlinelibrary.wiley.com/journal/15320634) Publisher: Wiley - Information Sciences ( https://www.journals.elsevier.com/information-sciences) Publisher: Elsevier - IEEE Transactions on Fuzzy Systems ( https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=91) Publisher: IEEE Press - Future Generation Computer Systems ( https://www.sciencedirect.com/journal/future-generation-computer-systems) Publisher: Elsevier - Brain Informatics (https://braininformatics.springeropen.com/) Publisher: Springer Nature *** Call for papers *** Full Papers Submission Deadline: July 1, 2020 Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance knowledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web?s entities, phenomena, and developments. Web Intelligence and Intelligent Agent Technology (WI-IAT) aims to achieve a multi-disciplinary balance between research advances in theories and methods usually associated with collective intelligence, data science, human-centric computing, knowledge management, network science, autonomous agents and multi-agent systems. It is committed to addressing research that both deepen the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enable the development and application of intelligent technologies. WI-IAT ?20 provides a premier forum and features high-quality, original research papers and real-world applications in all theoretical and technology areas that make up the field of Web Intelligence and Intelligent Agent Technology. WI-IAT ?20 welcomes research, application as well as Industry/Demo-Track paper submissions. Tutorial, Workshop and Special-Session proposals and papers are also welcome. WI-IAT ?20 in Melbourne is officially sponsored by IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), Web Intelligence Consortium (WIC), ACM-SIGAI, Swinburne University of Technology, Deakin University, and technically sponsored by University of Melbourne. WI-IAT ?20 will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings and strategies in utilizing the power of human brains and man-made networks to create a better world. More specifically, the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, and emerging Web in health and smart living in the 5G Era. The main theme for the WI-IAT '20 is "Web Intelligence = AI in the Connected World". It will also feature an industrial session, to embrace innovative concepts, architecture, evaluation and novel applications from industry. TRACKS AND TOPICS ++++++++++++++++++ Track 1: Web of People * Crowdsourcing and Social Data Mining * Human-Centric Computing * Information Diffusion * Knowledge Community Support * Modelling Crowd-Sourcing * Opinion Mining * People Oriented Applications and Services * Recommendation Engines * Sentiment Analysis * Situational Awareness Social Network Analysis * Social Groups and Dynamics * Social Media and Dynamics * Social Networks Analytics * User and Behavioural Modelling Track 2: Web of Data * Algorithms and Knowledge Management * Autonomy-Oriented Computing (AOC) * Big Data Analytics * Big Data and Human Brain Complex Systems * Cognitive Models * Computational Models * Data-Driven Services and Applications * Data Integration and Data Provenance * Data Science and Machine Learning * Graph Isomorphism * Graph Theory * Information Search and Retrieval * Knowledge Graph * Knowledge Graph and Semantic Networks * Linked Data Management and Analytics * Self-Organizing Networks * Semantic Networks * Sensor Networks * Web Science Track 3: Web of Things * Complex Networks * Distributed Systems and Devices * Dynamics of Networks * Industrial Multi-Domain Web * Intelligent Ubiquitous Web of Things * IoT Data Analytics * Location and Time Awareness * Open Autonomous Systems * Streaming Data Analysis * Web Infrastructures and Devices Mobile Web * Wisdom Web of Things (W2T) Track 4: Web of Trust * Blockchain analytics and technologies * Fake content and fraud detection * Hidden Web Analytics * Monetization Services and Applications * Trust Models for Agents * Ubiquitous Computing * Web Cryptography * Monetization services and applications * Web safety and openness Track 5: Web of Agents * Agent Networks * Autonomy Remembrance Agents * Autonomy-oriented Computing * Behaviour Modelling * Distributed Problem-Solving Global Brain * Edge Computing * Individual-based Modelling Knowledge * Information Agents * Local-Global Behavioural Interactions * Mechanism Design * Multi-Agent Systems * Network Autonomy Remembrance Agents * Self-adaptive Evolutionary Systems * Self-organizing Systems * Social Groups and Dynamics Special Track: Emerging Web in Health and Smart Living * Big Data in Medicine * City Brain and Global Brain * Digital Ecosystems * Digital Epidemiology * Health Data Exchange and Sharing * Healthcare and Medical Applications and Services * Omics Research and Trends * Personalized Health Management and Analytics * Smart City Applications and Services * Time Awareness and Location Awareness Smart City * Wellbeing and Healthcare in the 5G Era PAPER SUBMISSION GUIDELINES +++++++++++++++++++++++++++ Papers must be submitted electronically in standard IEEE Conference Proceedings format (max 8 pages, templates at https://www.ieee.org/conferences/publishing/templates.html). Submitted papers will undergo a peer-review process, coordinated by the International Program Committee. Paper submission will be done through CyberChair system: https://wi-lab.com/cyberchair/2020/wi20/scripts/submit.php?subarea=WI *** Call for Workshops/Special Session Proposals *** Submission Deadline: July 1, 2020 The organizing committee invites proposals for workshops/special sessions to be held in conjunction with the conference. The goals of the workshops/special sessions are to explore emerging research topics and to provide a forum for authors to present early research results on these topics. We would like to have a number of workshops/special sessions, with a high quality program dominated by contributed papers. We expect that workshops/special sessions will run a rigorous review process, to make sure programs will be of high-quality. Organizers may structure workshops/special sessions as they see fit, possibly including invited talks, panel discussions, presentations of work in progress, peer-reviewed papers, demonstrations, or some combination. SUBMISSION GUIDELINES: http://wi2020.vcrab.com.au/callWSPaper.html ACCEPTED WORKSHOPS/SPECIAL SESSIONS +++++++++++++++++++++++++++++++++++ - The 13th International Workshop on Natural Language Processing and Ontology Engineering Organizers: Yao Liu, Institute of Scientific and Technical Information, China Meng Wang, Jiangnan University, China Yi Huang, Institute of Scientific and Technical Information, China - The 5th International Workshop on Application of Big Data for Computational Social Science Organizers: Fujio Toriumi, The University of Tokyo, Japan Akira Ishii, Tottori University, Japan Hiroki Takikawa, Tohoku University, Japan Mitsuo Yoshida, Toyohashi University of Technology, Japan Isamu Okada, Soka University, Japan - The 7th International Workshop on Complex Methods for Data and Web Mining Organizers: Yong Shi, University of Chinese Academy of Sciences, China Lingfeng Niu, University of Chinese Academy of Sciences, China - Social Media Analytics for Health intelligence: How Artificial Intelligence Transforms Healthcare Organizers: Carmela Comito, CNR-ICAR, Italy Agostino Forestiero, CNR-ICAR, Italy Clara Pizzuti, CNR-ICAR, Italy - The International Workshop on Data Analytics on Social Media Organizers: Yue Xu, Queensland University of Technology, Australia Xiaoying Gao, Victoria University of Wellington, New Zealand Yuefeng Li, Queensland University of Technology, Australia We are looking forward to your submissions! IMPORTANT DATES +++++++++++++++ The Program Chairs are soliciting contributed technical papers for presentation at the conference and publication in the Conference Proceedings by IEEE. Submissions are encouraged before the next deadlines: Jul 1st, 2020: Workshop/Special Session Proposals Submission Jul 15th, 2020: Acceptance of Workshop/Special Session Proposals Jul 1st, 2020: Full Papers Submission Aug 20th, 2020: Notification of Paper Acceptance/Rejection Sep 7th, 2020: Camera-ready Submission Dec 14th, 2020: Workshop/Special Session Dec 15th-17th, 2020: Main Conference ORGANIZATION STRUCTURE ++++++++++++++++++++++ General Chairs * Yuefeng Li, Queensland University of Technology, Australia * Rainer Unland, University of Duisburg-Essen, Germany * Eugene Santos Jr., Dartmouth College, USA Program Committee Chairs * Jing He, Swinburne University of Technology, Australia * Hemant Purohit, George Mason University, USA * Willem-Jan van den Heuvel, The Netherlands * John Yearwood, Deakin University, Australia Local Organizing Chairs * Chi Hung Chi, CSIRO, Australia * Anwaar Ulhaq, Charles Sturt University, Australia * Vicky Mak-Hau, Deakin University, Australia Workshop/Special Session Chairs * Jian Cao, Shanghai Jiaotong University, China * Ke Deng, RMIT University, Australia * Xiaoying Gao, Victoria University of Wellington, New Zealand Tutorial Chair * Rui Zhang, University of Melbourne, Australia Demo Chair * Juan D. Velasquez Silva, University of Chile, Chile Industry Track Chairs * Qing Liu, CSIRO, Australia * Yimu Ji, Nanjing University of Posts and Communications, China Publication Chairs * Guangyan Huang, Deakin University, Australia * Yanfeng Shu, CSIRO, Australia * Ruchuan Wang, Nanjing University of Posts and Communications, China Publicity Chairs * Karin Becker, Universidade Federal do Rio Grande Do Sul, Brasil * Yang Liu, Hong Kong Baptist University, HK, China * Muhammad Abulaish, South Asian University, India * Leonidas Anthopoulos, University of Thessaly, Greece * Yuanfang Li, Monash University, Australia WebMaster * Mengjiao Guo, Swinburne University of Technology, Australia CyberChairMaster * Hongzhi Kuai, Maebashi Institute of Technology, Japan WIC Steering Committee Chairs * Ning Zhong, Maebashi Institute of Technology, Japan * Jiming Liu, Hong Kong Baptist University, HK, China WIC Executive Secretary * Xiaohui Tao, University of Southern Queensland, Australia Contact Information Academic Matters Prof. Jing He, Swinburne University of Technology, Australia Email:jinghe at swin.edu.au Local Arrangement wi.iat.2020.12 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Mon May 25 09:24:46 2020 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Mon, 25 May 2020 15:24:46 +0200 Subject: Connectionists: Call for Participation, ACDL2020, 3rd Advanced Course on Data Science & Machine Learning, July 13-17, Certosa di Pontignano (Siena) Tuscany - Italy, Early Registration: June 8 Message-ID: ACDL 2020, 3rd Advanced Course on Data Science & Machine Learning An multidisciplinary Course: Big Data, Deep Learning & Artificial Intelligence without Borders ACDL 2020 ? A Unique Experience: Data Science, Machine Learning & Artificial Intelligence with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 13-17, 2020 W: https://acdl2020.icas.xyz E: acdl at icas.cc FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences News: https://acdl2020.icas.xyz/category/news/ The past 2 editions have attracted more than 150 students per year and world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie Kaelbling, Peter Norvig, Alex 'Sandy' Pentland, Marc'Aurelio Ranzato, Ruslan Salakhutdinov, Josh Tenenbaum, Naftali Tishby and Oriol Vinyals. More info about our current and past editions can be found here: https://acdl2020.icas.xyz/past-editions/ Early registration deadline: Monday June 8 https://acdl2020.icas.xyz/registration/ CALL FOR PARTICIPATION, POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2020.icas.xyz/registration/ Early registration deadline: June 8 DEADLINES: Early Registration Deadline: Monday June 8. Oral/Poster Presentation Submission Deadline: June 8. Late Registration: from June 9 to July 10 (last date for registration). Accommodation Reservation at the Certosa di Pontignano: July 10. Notification of Decision for Oral/Poster Presentation: June 30. LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Michael Bronstein, Twitter & Imperial College London, UK * Sergiy Butenko, Texas A&M University, USA * Marco Gori, University of Siena, Italy * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Risto Miikkulainen, University of Texas at Austin, USA * Panos Pardalos, University of Florida, USA * Jos? C. Principe, University of Florida, USA * Mihaela van der Schaar, University of Cambridge, UK TUTORIAL SPEAKERS: * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Adam Paszke, University of Warsaw, Poland 4-hour tutorial on "PyTorch: A Modern Library for Machine Learning" SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. 8 ECTS POINTS: Participants will be delivered a certificate of attendance indicating the number of hours of lectures (36-40 hours of lectures). In according to the academic system all PhD and master students attending to the summer school will may get 8 ECTS points. A formal certificate of successful participation in the event will be delivered indicating the number of hours of lectures. VENUE & ACCOMMODATION: The venue of ACDL 2020 will be The Certosa di Pontignano ? Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2020.icas.xyz/venue/ ACCOMMODATION: https://acdl2020.icas.xyz/accommodation/ REGISTRATION: https://acdl2020.icas.xyz/registration/ Anyone interested in participating in ACDL 2020 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in Tuscany next July! ACDL 2020 Organizing Committee. E: acdl at icas.cc W: https://acdl2020.icas.xyz FB: https://www.facebook.com/groups/204310640474650/ T: https://twitter.com/TaoSciences News: https://acdl2020.icas.xyz/category/news/ * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Mon May 25 11:16:32 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Mon, 25 May 2020 17:16:32 +0200 Subject: Connectionists: ICMI 2020: Final Call for Long and Short Papers Message-ID: *************************************** ICMI 2020: Final Call for Long and Short Papers http://icmi.acm.org/2020/index.php?id=cfp 25-29 Oct 2020, Utrecht, The Netherlands *************************************** * Submission Update* Dear all, We have decided to allow replacing the paper pdf for a week past submission deadline, that is, until June 5 (23:59 GMT-7). The original submission deadline (May 29) stays the same, and the title, abstract, and author list can't be changed after that, since we will start the review bidding process immediately. Best, 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: August 7, 2020 Camera-ready paper: September 2, 2020 Presenting at main conference: October 25-29, 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Tue May 26 05:15:21 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Tue, 26 May 2020 11:15:21 +0200 Subject: Connectionists: CFP: ECCV 2020 Advances in Image Manipulation (AIM) workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 8 CHALLENGES AIM: 2nd Advances in Image Manipulation workshop and challenges on real image super-resolution, efficient SR, extreme SR, relighting, extreme inpainting, learned ISP, Bokeh effect, video temporal SR In conjunction with ECCV 2020, Glasgow, UK Website: https://data.vision.ee.ethz.ch/cvl/aim20/ Contact: radu.timofte at vision.ee.ethz.ch SCOPE Image manipulation is a key computer vision tasks, aiming at the restoration of degraded image content, the filling in of missing information, or the needed transformation and/or manipulation to achieve a desired target (with respect to perceptual quality, contents, or performance of apps working on such images). Recent years have witnessed an increased interest from the vision and graphics communities in these fundamental topics of research. Not only has there been a constantly growing flow of related papers, but also substantial progress has been achieved. Each step forward eases the use of images by people or computers for the fulfillment of further tasks, as image manipulation serves as an important frontend. Not surprisingly then, there is an ever growing range of applications in fields such as surveillance, the automotive industry, electronics, remote sensing, or medical image analysis etc. The emergence and ubiquitous use of mobile and wearable devices offer another fertile ground for additional applications and faster methods. This workshop aims to provide an overview of the new trends and advances in those areas. Moreover, it will offer an opportunity for academic and industrial attendees to interact and explore collaborations. This workshop builds upon the success of the Advances in Image Manipulation (AIM) workshop at ICCV 2020, the Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018, the workshop and Challenge on Learned Image Compression (CLIC) editions at CVPR 2018, 2019 and 2020 and the New Trends in Image Restoration and Enhancement (NTIRE) editions: at CVPR 2017, 2018, 2019 and 2020 and at ACCV 2016. Moreover, it relies on the people associated with the PIRM, CLIC, and NTIRE events such as organizers, PC members, distinguished speakers, authors of published papers, challenge participants and winning teams. TOPICS Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to: ? Image-to-image translation ? Video-to-video translation ? Image/video manipulation ? Perceptual manipulation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation ? Perceptual enhancement ? Multimodal translation ? Depth estimation ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Aerial and satellite imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video manipulation on mobile devices ? Image/video restoration and enhancement on mobile devices ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 14 pages (excluding references) in ECCV style. The paper format must follow the same guidelines as for all ECCV submissions. https://eccv2020.eu/author-instructions/ The review process is double blind. Authors do not know the names of the chair/reviewers of their papers. Reviewers do not know the names of the authors. Dual submission is allowed with ECCV main conference only. If a paper is submitted also to ECCV and accepted, the paper cannot be published both at the ECCV and the workshop. For the paper submissions, please go to the online submission site https://cmt3.research.microsoft.com/AIMWC2020 Accepted and presented papers will be published after the conference in the ECCV Workshops Proceedings. The author kit provides a LaTeX2e template for paper submissions. Please refer to the example for detailed formatting instructions. If you use a different document processing system then see the ECCV author instruction page. Author Kit: https://eccv2020.eu/wp-content/uploads/2020/01/eccv2020kit-1.zip WORKSHOP DATES ? Submission Deadline: July 10, 2020 ? Decisions: July 20, 2020 ? Camera Ready Deadline: July 30, 2020 IMAGE CHALLENGES (*ongoing!*): 1. Bokeh effect simulation (tracks: on smartphone GPU, on CPU) 2. Learned ISP (RAW to RGB mapping) (tracks: fidelity, perceptual) 3. Real super-resolution (tracks: x2, x3, x4) 4. Relighting (tracks: any to one, any to any relighting, illumination estimation) 5. Efficient super-resolution 6. Extreme inpainting (tracks: classic, semantic guidance) VIDEO CHALLENGES (*ongoing!*): 1. Video temporal super-resolution (frame interpolation) 2. Video extreme super-resolution (tracks: fidelity, perceptual) PARTICIPATION To learn more about the challenges and to participate: https://data.vision.ee.ethz.ch/cvl/aim20/ CHALLENGES DATES ? Release of train data: May 05, 2020 ? Validation server online: May 15, 2020 ? Competitions end: July 10, 2020 ORGANIZERS - Radu Timofte, Andrey Ignatov, Kai Zhang, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Andres Romero (ETH Zurich, Switzerland) - Luc Van Gool (KU Leuven, Belgium and ETH Zurich, Switzerland) - Wangmeng Zuo, Hannan Lu (Harbin Institute of Technology, China) - Shuhang Gu (University of Sydney, Australia) - Ming-Hsuan Yang (University of California at Merced and Google, US) - Majed El Helou, Ruofan Zhou (EPFL, Switzerland) - Kyoung Mu Lee, Seungjun Nah, Sanghyun Son, Jaerin Lee (Seoul National University, Korea) - Eli Shechtman (Adobe Research, US) - Evangelos Ntavelis, Siavash Bigdeli (CSEM, Switzerland) - Liang Lin, Weipeng Xu (Sun Yat-Sen University, China) - Ming-Yu Liu (Nvidia, US) - Roey Mechrez (BeyondMinds and Technion, Israel) SPEAKERS (TBA) SPONSORS We are looking for sponsors! Please let us know if interested. CONTACT Email: radu.timofte at vision.ee.ethz.ch Website: https://data.vision.ee.ethz.ch/cvl/aim20/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From timofte.radu at gmail.com Tue May 26 05:15:21 2020 From: timofte.radu at gmail.com (Radu Timofte) Date: Tue, 26 May 2020 11:15:21 +0200 Subject: Connectionists: CFP: ECCV 2020 Advances in Image Manipulation (AIM) workshop and challenges Message-ID: Apologies for cross-posting ******************************* CALL FOR PAPERS & CALL FOR PARTICIPANTS IN 8 CHALLENGES AIM: 2nd Advances in Image Manipulation workshop and challenges on real image super-resolution, efficient SR, extreme SR, relighting, extreme inpainting, learned ISP, Bokeh effect, video temporal SR In conjunction with ECCV 2020, Glasgow, UK Website: https://data.vision.ee.ethz.ch/cvl/aim20/ Contact: radu.timofte at vision.ee.ethz.ch SCOPE Image manipulation is a key computer vision tasks, aiming at the restoration of degraded image content, the filling in of missing information, or the needed transformation and/or manipulation to achieve a desired target (with respect to perceptual quality, contents, or performance of apps working on such images). Recent years have witnessed an increased interest from the vision and graphics communities in these fundamental topics of research. Not only has there been a constantly growing flow of related papers, but also substantial progress has been achieved. Each step forward eases the use of images by people or computers for the fulfillment of further tasks, as image manipulation serves as an important frontend. Not surprisingly then, there is an ever growing range of applications in fields such as surveillance, the automotive industry, electronics, remote sensing, or medical image analysis etc. The emergence and ubiquitous use of mobile and wearable devices offer another fertile ground for additional applications and faster methods. This workshop aims to provide an overview of the new trends and advances in those areas. Moreover, it will offer an opportunity for academic and industrial attendees to interact and explore collaborations. This workshop builds upon the success of the Advances in Image Manipulation (AIM) workshop at ICCV 2020, the Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018, the workshop and Challenge on Learned Image Compression (CLIC) editions at CVPR 2018, 2019 and 2020 and the New Trends in Image Restoration and Enhancement (NTIRE) editions: at CVPR 2017, 2018, 2019 and 2020 and at ACCV 2016. Moreover, it relies on the people associated with the PIRM, CLIC, and NTIRE events such as organizers, PC members, distinguished speakers, authors of published papers, challenge participants and winning teams. TOPICS Papers addressing topics related to image/video manipulation, restoration and enhancement are invited. The topics include, but are not limited to: ? Image-to-image translation ? Video-to-video translation ? Image/video manipulation ? Perceptual manipulation ? Image/video generation and hallucination ? Image/video quality assessment ? Image/video semantic segmentation ? Perceptual enhancement ? Multimodal translation ? Depth estimation ? Image/video inpainting ? Image/video deblurring ? Image/video denoising ? Image/video upsampling and super-resolution ? Image/video filtering ? Image/video de-hazing, de-raining, de-snowing, etc. ? Demosaicing ? Image/video compression ? Removal of artifacts, shadows, glare and reflections, etc. ? Image/video enhancement: brightening, color adjustment, sharpening, etc. ? Style transfer ? Hyperspectral imaging ? Underwater imaging ? Aerial and satellite imaging ? Methods robust to changing weather conditions / adverse outdoor conditions ? Image/video manipulation on mobile devices ? Image/video restoration and enhancement on mobile devices ? Studies and applications of the above. SUBMISSION A paper submission has to be in English, in pdf format, and at most 14 pages (excluding references) in ECCV style. The paper format must follow the same guidelines as for all ECCV submissions. https://eccv2020.eu/author-instructions/ The review process is double blind. Authors do not know the names of the chair/reviewers of their papers. Reviewers do not know the names of the authors. Dual submission is allowed with ECCV main conference only. If a paper is submitted also to ECCV and accepted, the paper cannot be published both at the ECCV and the workshop. For the paper submissions, please go to the online submission site https://cmt3.research.microsoft.com/AIMWC2020 Accepted and presented papers will be published after the conference in the ECCV Workshops Proceedings. The author kit provides a LaTeX2e template for paper submissions. Please refer to the example for detailed formatting instructions. If you use a different document processing system then see the ECCV author instruction page. Author Kit: https://eccv2020.eu/wp-content/uploads/2020/01/eccv2020kit-1.zip WORKSHOP DATES ? Submission Deadline: July 10, 2020 ? Decisions: July 20, 2020 ? Camera Ready Deadline: July 30, 2020 IMAGE CHALLENGES (*ongoing!*): 1. Bokeh effect simulation (tracks: on smartphone GPU, on CPU) 2. Learned ISP (RAW to RGB mapping) (tracks: fidelity, perceptual) 3. Real super-resolution (tracks: x2, x3, x4) 4. Relighting (tracks: any to one, any to any relighting, illumination estimation) 5. Efficient super-resolution 6. Extreme inpainting (tracks: classic, semantic guidance) VIDEO CHALLENGES (*ongoing!*): 1. Video temporal super-resolution (frame interpolation) 2. Video extreme super-resolution (tracks: fidelity, perceptual) PARTICIPATION To learn more about the challenges and to participate: https://data.vision.ee.ethz.ch/cvl/aim20/ CHALLENGES DATES ? Release of train data: May 05, 2020 ? Validation server online: May 15, 2020 ? Competitions end: July 10, 2020 ORGANIZERS - Radu Timofte, Andrey Ignatov, Kai Zhang, Dario Fuoli, Martin Danelljan, Zhiwu Huang, Andres Romero (ETH Zurich, Switzerland) - Luc Van Gool (KU Leuven, Belgium and ETH Zurich, Switzerland) - Wangmeng Zuo, Hannan Lu (Harbin Institute of Technology, China) - Shuhang Gu (University of Sydney, Australia) - Ming-Hsuan Yang (University of California at Merced and Google, US) - Majed El Helou, Ruofan Zhou (EPFL, Switzerland) - Kyoung Mu Lee, Seungjun Nah, Sanghyun Son, Jaerin Lee (Seoul National University, Korea) - Eli Shechtman (Adobe Research, US) - Evangelos Ntavelis, Siavash Bigdeli (CSEM, Switzerland) - Liang Lin, Weipeng Xu (Sun Yat-Sen University, China) - Ming-Yu Liu (Nvidia, US) - Roey Mechrez (BeyondMinds and Technion, Israel) SPEAKERS (TBA) SPONSORS We are looking for sponsors! Please let us know if interested. CONTACT Email: radu.timofte at vision.ee.ethz.ch Website: https://data.vision.ee.ethz.ch/cvl/aim20/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Tue May 26 04:59:25 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Tue, 26 May 2020 10:59:25 +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 ? Stefano Boccaletti ISC CNR, Italy ? Fosca Giannotti KDD Lab Pisa, Italy ? J?nos Kert?sz Central European University Hungary ? Vito Latora Queen Mary, University of London UK ? Alex ?Sandy? Pentland MIT Media Lab, USA ? Nata?a Pr?ulj Barcelona Supercomputing Center Spain *Tutorials:* *November 30, 2020* ? David Garcia Complexity Science Hub Vienna Austria ? Mikko Kivel? Aalto University Finland *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 hans.ekkehard.plesser at nmbu.no Tue May 26 04:57:26 2020 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 26 May 2020 08:57:26 +0000 Subject: Connectionists: =?utf-8?q?NEST_Conference_2020_=E2=80=94_Submissi?= =?utf-8?q?on_deadline_1_June_2020?= Message-ID: <9579E766-A3E9-4045-BEAF-D7FF3E49AB26@nmbu.no> Dear all, Just a little reminder that the submission deadline for the (virtual) NEST Conference 2020 is this Monday, June 1st. We are looking forward to your contributions. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. This year's conference will take place as a virtual conference on Monday/Tuesday 29/30 June 2020. We are inviting contributions to the conference, including plenary talks, "posters" and breakout sessions on specific topics. Important dates 01 June 2020 ? Deadline for submission of contributions 08 June 2020 ? Notification of acceptance 10 June 2020 ? Deadline for NEST Initiative Membership applications (registration is free for members in 2020) 22 June 2020 ? Registration deadline 29 June 2020 ? NEST Conference 2020 starts For more information on how to submit your contribution, register and participate, please visit the conference website https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser, Susanne Kunkel, Dennis Terhorst, Anne Elfgen & many more -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser -------------- next part -------------- An HTML attachment was scrubbed... URL: From ilya.nemenman at emory.edu Tue May 26 10:31:28 2020 From: ilya.nemenman at emory.edu (Nemenman, Ilya) Date: Tue, 26 May 2020 14:31:28 +0000 Subject: Connectionists: "Learning physics with ML" Virtual workshop, Thursday, May 28, 10am-1pm EDT Message-ID: Dear Colleagues: The Emory Theory and Modeling of Living Systems (TMLS) Initiative is elated to bring to you our next virtual workshop "Learning New Physics with Machine Learning". Please join us on May 28th, 2020 at 10am - 1pm EDT (United States, East Coast Time) via YouTube live-streaming virtual experience. Topic: "Can machine learning learn new physics, or do we need to put it in by hand?? There has been a surge of publications on using machine learning (ML) on experimental data from physical systems: social, biological, statistical, and quantum. However, can these methods discover fundamentally new physics? It can be that their biggest impact is in better data preprocessing, while inferring new physics is unrealistic without specifically adapting the learning machine to find what we are looking for ? that is, without the ?intuition? ? and hence without having a good a priori guess about what we will find. Is machine learning a useful tool for physics discovery? Which minimal knowledge should we endow the machines with to make them useful in such tasks? How do we do this? Eight speakers below will anchor the workshop, exploring these questions in contexts of diverse systems (from quantum to biological), and from general theoretical advances to specific applications. Each speaker will deliver a 10 min talk with another 10 minutes set aside for moderated questions/discussion. We expect the talks to be broad, bold, and provocative, discussing where the field is heading, and what is needed to get us there. Speakers: Lucy Colwell (Cambridge University) Bryan Daniels (Arizona State University) Sam Greydanus (Google Brain) Andrea Liu (University of Pennsylvania) Roger Melko (University of Waterloo) David Schwab (CUNY) Max Tegmark (MIT) Aleksandra Walczak (CNRS/ENS Paris) To attend, register with this link: https://bit.ly/3fC9uxr ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Workshop Flyer.pdf Type: application/pdf Size: 1512153 bytes Desc: Workshop Flyer.pdf URL: From sageev at vectorinstitute.ai Wed May 27 00:54:57 2020 From: sageev at vectorinstitute.ai (Sageev Oore) Date: Wed, 27 May 2020 01:54:57 -0300 Subject: Connectionists: CIFAR Catalyst AI PostDoctoral Fellow (Vector Institute, Dalhousie University, U of Toronto) -- Position available Message-ID: <646CC44E-9EE7-4E91-8CCB-296019222C94@vectorinstitute.ai> We invite applications for a joint Postdoctoral Fellowship in Deep Learning & Neurorehabilitation at the Vector Institute , the University of Toronto (Faculty of Music) and Dalhousie University (Faculty of Computer Science). The Postdoctoral Fellow will work on a highly interdisciplinary research project that combines Machine Learning, Music, and Neurorehabilitation, made possible through a CIFAR Catalyst AI research grant. Details are available here . Dr. Sageev Oore Canada CIFAR AI Chair, Faculty of Computer Science, Dalhousie University (Halifax) Vector Institute for Artificial Intelligence (Toronto) -------------- next part -------------- An HTML attachment was scrubbed... URL: From franciscocruzhh at gmail.com Wed May 27 00:57:33 2020 From: franciscocruzhh at gmail.com (Francisco Cruz) Date: Wed, 27 May 2020 14:57:33 +1000 Subject: Connectionists: ICLD-EpiRob 2020 Journal Track - Extended Deadline and COVID-19 Update Message-ID: ICLD-EpiRob 2020 Journal Track - Call for Journal Articles for Oral or Poster Presentation The program committee of the 10th IEEE International Conference on Development and Learning (ICDL) invites published journal articles to be presented in the Journal Track of ICDL. 28th-30th October 2020, Valparaiso, Chile https://cdstc.gitlab.io/icdl-2020/ ==== COVID-19 Update ==== We have been monitoring the situation evolving around COVID-19 closely and after considering multiple options, together with our partners we have made the following changes: - The conference will be rescheduled to the 28th to 30th of October of 2020. This will be almost two months later than initially planned. - Additionally, ICDL 2020 will be a hybrid event with on-site and online participants. Online/Virtual attendees will have a reduced registration fee. - Moreover, we have extended all our deadlines. Already submitted articles can be modified. - Finally, we will record and make as many of the talks available to the community. We hope that with these changes, we can still make exiting state-of-the-art research on cognitive and developmental systems to as many of you as possible. Stay safe and we hope to welcome you in Valparaiso. ==== Important Dates ==== Submission deadline: 29th June 2020 Author notification: 20th of July 2020 Conference: 28th-30th October 2020 ==== Overview ==== The Journal Track is designed to provide a forum to discuss important results related to cognitive and developmental systems recently published as journal articles, but have not been previously presented as conference papers. Thus, the journal track offers an opportunity to present outstanding results that might otherwise not be submitted to a conference due to their length and complexity. All accepted journal presentations will be selected for either oral or poster presentation during the conference based on the reviews - at least one author is expected to register to ICDL 2020 and to present the paper in person. ==== Submissions ==== Candidate papers must be original research articles published in a journal relevant to the research area during 2019 or 2020. Papers that are in press may be submitted as long as the final camera-ready version is available online. Extensions of papers that have been previously presented as conference papers may NOT be submitted to this track. All submissions must be made by email to Francisco Cruz, including (in a single PDF): - Title of the original journal paper. - Abstract of the paper. - A complete reference to the original paper in APA format. - URL where the paper can be downloaded from the publisher if available, or proof of the final acceptance. - A copy of the paper with its final camera-ready contents. Submissions will go through an expedited selection process led by the conference chairs. Selection criteria include the significance of the results and relevance to the ICDL community. ==== 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 modeling 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. ==== 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 Journal Track Chair: Francisco Cruz 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, Francisco Cruz Research Fellow in Reinforcement Learning School of Information Technology Deakin University Locked Bag 20000, Geelong, VIC 3220 francisco.cruz at deakin.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed May 27 03:29:14 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Wed, 27 May 2020 10:29:14 +0300 Subject: Connectionists: Invitation to Summer short course on Deep Learning and Computer Vision for Autonomous Systems 2020, 17-18th August 2020 References: <008501d63341$275597e0$7600c7a0$@csd.auth.gr> Message-ID: <00ea01d633f8$865c4bf0$9314e3d0$@csd.auth.gr> Dear Autonomous Systems (cars) engineers, scientists and enthusiasts, you are welcomed to register in the 'Summer short course on Deep Learning and Computer Vision for Autonomous Systems 2020' with applications on autonomous cars, drones and marine vessels. It will take place on 17-18/8/2020 as an e-course hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues. As Greece had an excellent record on combatting COVID-19 (no reported case in AUTH), we shall also consider the case of a physical course at AUTH (in parallel to the e-course, same registration), if regulations permit it. See details in the course www page, as provisions slightly vary from course to course. The short course consists of 16 1-hour lectures organized in two parts (one per day): Part A lectures provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Mapping and Localization) and machine learning (Introduction to neural networks, Perceptron, backpropagation, Deep neural networks, Convolutional NNs). Part B lectures provide in-depth views of the various topics encountered in autonomous systems perception, ranging from vehicle localization and mapping, to target detection and tracking, autonomous systems communications and embedded CPU/GPU computing. They also contain application-oriented lectures on autonomous drones, cars and marine vessels (e.g. for land/marine surveillance, search&rescue missions, infrastructure/building inspection and modeling, cinematography). You can use the following link for course registration: http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2020/ Early registration cutoff date is the 30th June 2020. For questions, please contact: Ioanna Koroni The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Thessaloniki is a very pleasant city at the end of August, with vibrant night-life, very close to world-class resorts in Chalkidiki peninsula. Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally and its campus is at the city center. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Course description Part A (8 hours) 1. Introduction to autonomous systems imaging 2. Introduction in computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Introduction to neural networks, Perceptron, backpropagation 6. Deep neural networks. Convolutional NNs 7. Introduction to multiple drone imaging 8. Drone mission planning and control Part B (8 hours) 1. Localization and mapping 2. Deep learning for object/target detection 3. Object tracking and 3D localization 4. Parallel GPU and multicore CPU programming. GPU programming 5. Fast convolution algorithms 6. Drone cinematography 7. Introduction to car vision 8. Introduction to autonomous marine vehicles Sincerely yours Prof. I. Pitas From aude.billard at epfl.ch Thu May 28 03:08:20 2020 From: aude.billard at epfl.ch (Aude Billard) Date: Thu, 28 May 2020 09:08:20 +0200 Subject: Connectionists: [ML-news] Int. Conf. on Robotics and Automation - held live May 31 - June 15 - free access to plenaries and workshop In-Reply-To: <465f6c29-6bcc-4959-ac70-c39a4839583c@googlegroups.com> References: <465f6c29-6bcc-4959-ac70-c39a4839583c@googlegroups.com> Message-ID: <1499dbe9-ef76-d3dc-4b45-8fe0b89811d5@epfl.ch> IEEE ICRA 2020 Held Virtually - Plenaries Broadcasted Live Free through IEEE.TV Dear Machine Learning Community, On behalf of the IEEE Robotics & Automation Society, the ICRA organizing committee is delighted to invite you to attend the IEEE International Conference on Robotics and Automation (ICRA 2020), to be held fully virtually, from 31 May to 15 June,so be sure to tune in! On demand recorded content will be available until 31 August.*Attendance to Plenaries and Workshops is Free*. Moderate fees (25$ for students) are applied for the rest of the conference. *Program: * Plenaries and keynotes are broadcast through IEEE.tv - ieeetv.ieee.org/ondemandList/ - from June 1st to 15 between 1PM and 2PM UTC,? including a live chat Q&A: https://www.icra2020.org/program/plenaries-keynotes Workshops and tutorials will be held, free-of-charge and live on different dates, check the list at: https://www.icra2020.org/program/workshops-and-tutorials All 1600 papers are presented as on-demand videos on InfoVaya conference hub , and for technical discussions a dedicated slack #channel will be linked. These will be available until August 31. All information is available at: https://www.icra2020.org/program/program-overview *Registration:* With the goal of offering benefits to community members in all regions of the world, we offer very affordable registration rates: IEEE Student Member? 25.00 Student Non-Member? 25.00 IEEE Member? 100.00 Non-Member? 150.00 IEEE Life MemberFree Registration fees provide online access to over 1600 papers and presentations, award paper sessions, networking opportunities with the global community, and will give you the opportunity to engage in technical discussions with colleagues around the world.The conference will also feature a virtual industrial exhibit, and feature an Access to Talent Program. Register NOW:http://icra2020.org We look forward to connecting with you online! Thank you very much, Stephane Regenier, General Chair Wolfram Burgard, Program Chair Aude Billard, Outreach Chair -------------------------------------- Prof. Aude Billard LASA laboratory, http://lasa.epfl.ch EPFL - Ecole Polytechnique Federale de Lausanne Mail to: Station 9, 1015 Lausanne, Switzerland Email: aude.billard at epfl.ch Tel: +41-21-693-5464 Fax: +41-21-694-7850 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Edgar.Galvan at mu.ie Thu May 28 02:38:45 2020 From: Edgar.Galvan at mu.ie (=?iso-8859-1?Q?Edgar_Galv=E1n?=) Date: Thu, 28 May 2020 06:38:45 +0000 Subject: Connectionists: PhD studentship (Neuroevolution in Deep Learning) Message-ID: Dear colleagues, Apologies in advance for any cross-posting which may inevitably occur. It is with great pleasure that we can announce that Maynooth University's Naturally Inspired Computation Research Group has one PhD scholarship position available for a suitably qualified candidate to commence from September 2020 (Deadline: 19th June, 2020). The Scholarship includes full annual fees support (EU and overseas students are welcome to apply), monthly tax-free stipend, some international conference travel, and exciting opportunities to undertake research-oriented teaching and learning activities within the Department of Computer Science. The research focus of this PhD scholarship is related to Neuroevolution in Deep Learning algorithms for selected real-world problems. The research domain of neuroevolution will provide opportunities to work at the forefront of Computer Science research in Evolutionary Computation and Deep Learning. Informal inquiries can be made to: Dr. Edgar Galvan (edgar.galvan at mu.ie) and Dr. Peter Mooney (peter.mooney at mu.ie) Full details and information about the application procedure are available here. We would be very grateful if you could forward this to any potential candidates and/or advertise the position within your own professional networks. With every best wishes, Edgar and Peter ============================================================================= Dr. Edgar Galvan Co-head of the Naturally Inspired Computation Research Group Department of Computer Science Maynooth University Maynooth Co. Kildare Ireland Email: edgar.galvan at mu.ie Tel+ 353 (0) 1 474 7154 ============================================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From melaahi2 at gmail.com Wed May 27 13:16:32 2020 From: melaahi2 at gmail.com (M Elahi) Date: Wed, 27 May 2020 19:16:32 +0200 Subject: Connectionists: [CVML] [CfP] EAI CloudComp 2020 In-Reply-To: References: Message-ID: *EAI CloudComp 2020 - 10th EAI International Conference on Cloud Computing * Link: http://cloudcomp.eu Date: December 11-13, 2020 Qufu, People's Republic of China *Topics* *Cloud Architecture* X as a Service Paradigms Cloud Computing Architecture Public/Private/Hybrid Cloud Edge Computing / Fog Computing IoT/Sensor Clouds Simulation and Virtualization in Cloud Computing *Cloud Management* Cloud Resource Scheduling and Offloading Quality of Service (QoS) in Cloud Computing Cost Models and Optimization in Cloud Computing Privacy, Security and Trust Issues in Cloud Computing Heterogeneity in Cloud Computing Energy-saving Issue in Cloud Computing *Cloud Applications* Cloud Computing for Big Data Processing High Performance Computing based on Cloud Cloud Supported Smart X Technologies Distributed and Parallel Query Processing 5G and Cloud Computing Blockchain Techniques for Cloud Computing *Publication* All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library. Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI?s own EU Digital Library (EUDL). *Authors of selected best accepted and presented papers will be invited to submit an extended version to:* Wireless Networks (WINET) (IF: 2.405) Mobile Networks and Applications (MONET) Journal (IF: 2.390) All accepted authors are eligible to submit an extended version in a fast track of: EAI Endorsed Transactions on Cloud Systems *Important dates* Full Paper Submission deadline *15 June 2020* *Notification deadline* 3 August 2020 *Start of Conference* 11 December 2020 *Mehdi Elahi,* Associate Professor, University of Bergen, Norway *Webpage: *https://dars.uib.no *Twitter:* https://twitter.com/mehdielaahi *LinkedIn:* https://linkedin.com/in/mehdielahi *Google Scholar:* https://scholar.google.com/citations?user=aUWF7LYAAAAJ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Wed May 27 11:30:12 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Wed, 27 May 2020 17:30:12 +0200 Subject: Connectionists: Final CfP Machine Learning and Data Mining for Sports Analytics @ ECML PKDD 2020 Message-ID: An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Wed May 27 18:44:51 2020 From: nsmattei at gmail.com (Nicholas Mattei) Date: Wed, 27 May 2020 17:44:51 -0500 Subject: Connectionists: ACM SIGAI Activities Fund: Second Call for Proposals Message-ID: [Apologies for Multiple Postings] A reminder that proposals to the SIGAI activites fund are due in a little over two weeks! We hope to receive exciting proposals from our membership! ACM SIGAI Activities Fund 2020: Call for Proposals ACM SIGAI invites funding proposals for artificial intelligence (AI) activities that can take place entirely virtually and that have a strong outreach component to students, researchers, practitioners not working on AI technologies, or to the public in general. We funded several proposals with a similar outreach thrust last year, but those were largely based around physical interactions. With the necessity of responding to the current situation and the Covid-19 pandemic, we are instead focusing this year on activities that can both take place virtually and provide resources, material, or engagement to the broader community through virtual means. Nevertheless, a focus of, and knowledge of, local populations that this could reach, and evidence of the ability to reach such populations, will be positively viewed. The purpose of this call is to promote a better understanding of current AI technologies, including their strengths and limitations, as well as their promise for the future. Examples of fundable activities include (but are not limited to), virtual panels on AI technology (including on AI ethics) with expert speakers, creating podcasts or short films on AI technologies that are accessible to the public, and holding AI programming competitions virtually. ACM SIGAI will look for evidence that the information presented by the activity will be of high quality, accurate, unbiased (for example, not influenced by company interests), and at the right level for the intended audience. ACM SIGAI will fund up to five proposals. The funding will be provided either as reimbursement (up to $2000), or as an honorarium (up to $1000), keeping in mind that the honorarium option has tax consequences for the recipient. In the case of honorarium payments, we plan to ensure that the final "deliverable" is in keeping with what was promised in the proposal before sending funding, and that you produce a writeup of the project for submission to AI Matters, the SIGAI newsletter. We will prioritize the following types of proposals: 1. a) proposals from ACM affiliated organizations other than conferences (such as ACM SIGAI chapters or ACM chapters). 2. b) out-of-the-box ideas that can be delivered rapidly, 3. c) new activities (rather than existing and recurring activities), 4. d) activities with long-term impact, and 5. e) activities that reach many people. We prefer not to fund activities for which sufficient funding is already available from elsewhere or that result in profit for the organizers. Note that expert talks on AI technology can typically be arranged with financial support of the ACM Distinguished Speaker program ( https://speakers.acm.org/ ) and are not appropriate for funding via this call. Likewise, webinars can be hosted in partnership with ACM SIGAI (e.g., https://learning.acm.org/techtalks/ethicsai ). If you want to participate in programs such as these please reach out to us separately. Submission Guidelines A proposal should contain the following information on at most 3 pages: - A description of the activity (including when and where it will be held); - A budget for the activity and the amount of funding requested, and whether other organizations have been or will be approached for funding (and, if so, for how much). This could also be a request for an honorarium payment instead; - An explanation of how the activity fits this call (including whether it is new or recurring, which audience it will benefit, and how large the audience is); - A description of the organizers and other participants (such as speakers) involved in the activity (including their expertise and their affiliation with ACM SIGAI or ACM); - A description of what will happen to the surplus in case there is, unexpectedly, one; and the name, affiliation, and contact details (including postal and email address, phone number, and URL) of the corresponding organizer. - Grantees are required to submit reports to ACM SIGAI following completion of their activities with details on how they utilized the funds and other information which might also be published in the ACM SIGAI newsletter ?AI Matters.? - The deadline for submissions is 11:59pm on June 15, 2020 (UTC-12). Proposals should be submitted as pdf documents in any style at https://easychair.org/conferences/?conf=sigaiaaf2020 Committees The program is organized by the SIGAI Executive Committee, and will be evaluated by them with the help of other SIGAI officers and external reviewers. The funding decisions of ACM SIGAI are final and cannot be appealed. Some funding earmarked for this call might not be awarded at the discretion of ACM SIGAI, for example, in case the number of high-quality proposals is not sufficiently large. Contact In case of questions, please first check the ACM SIGAI blog for announcements and clarifications: https://sigai.acm.org/aimatters/blog/ . Questions should be directed to Sanmay Das (sanmayd at acm.org) and Nicholas Mattei (nsmattei at gmail.com), the SIGAI Chair and Vice-Chair. -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Stanley Thomas Hall | 402B +1 504 862 8391 Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu May 28 08:48:57 2020 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Thu, 28 May 2020 15:48:57 +0300 Subject: Connectionists: CVML Web lectures 3rd June 2020: 1) Deep Learning. Convolutional Neural Networks 2) Deep Object Detection References: <013901d634e9$854b0980$8fe11c80$@csd.auth.gr> Message-ID: <026a01d634ee$86a01ff0$93e05fd0$@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 have launched the live CVML Web lecture series that covers very important Computer Vision/Machine Learning topics. Two new upcoming 45 min lectures will take place soon: 1) Deep Learning. Convolutional Neural Networks 2) Deep Object Detection Date/time: Wednesday 3rd June 2020, 17:00-18:30 EEST for both lectures (7:00-8:30 am California time, 10:00-11:30 am New York time, 22:00-23:30 Beijing time). Registration can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Registration for asynchronous access to CVML live Web lecture material (video, pdf/ppt) for any past/present lecture can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/ Lecture abstracts 1) Deep Learning. Convolutional Neural Networks, Wednesday 3rd June 2020, 17:00-17:45 EEST Summary: Introduction to deep learning, focusing on convolutional neural networks (CNNs). From multilayer perceptrons to deep architectures. Fully connected layers. Convolutional layers. Tensors and mathematical CNN formulations. Pooling. Training convolutional NNs. Initialization. Batch Normalization, Data augmentation. Regularization. Dropout. AlexNet, ZFNet, ResNet, SqueezeNet, Inception, GoogleLeNet, Network-In-Network architectures. Lightweight deep learning. Deployment on embedded systems. Performance metrics. 2) Deep Object Detection, Wednesday 3rd June 2020, 17:45-18:30 EEST Summary: An overview is provided on target detection using deep neural networks. Detection as classification and regression task, Modern architectures for target detection: RCNN, Faster RCNN, R-FCN, YOLO v1/2/3/4, SSD Lightweight detector architectures. Object detection performance metrics. Evaluation and benchmarking. Deployment in embedded platforms.Recently, Convolutional Neural Networks (CNNs) have been used for the task of object detection with great results. However, using such models on drones for real-time face detection is prohibited by the hardware constraints that drones impose. Various architectures and settings are examined to facilitate the use of CNN-based object detectors on a drone with limited computational capabilities. 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. His current interests are in the areas of machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 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 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 31000+ citations to his work and h-index 83+ (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/. Lecturing record of Prof. I. Pitas: He was Visiting/Adjunct/Honorary Professor/Researcher and lectured at several Universities: University of Toronto (Canada), University of British Columbia (Canada), EPFL (Switzerland), Chinese Academy of Sciences (China), University of Bristol (UK), Tampere University of Technology (Finland), Yonsei University (Korea), Erlangen-Nurnberg University (Germany), National University of Malaysia, Henan University (China). He delivered 90 invited/keynote lectures in prestigious international Conferences and top Universities worldwide. He run 17 short courses and tutorials on Autonomous Systems, Computer Vision and Machine Learning, most of them in the past 3 years in many countries, e.g., USA, UK, Italy, Finland, Greece, Australia, N. Zealand, Korea, Taiwan, Sri Lanka, Bhutan. Relevant links: a) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el b) AIIA Lab www.aiia.csd.auth.gr General information: 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 15 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 (delivered 2nd May 2020) Stereo and Multiview imaging (delivered 2nd May 2020) Structure from Motion (delivered 9th May 2020) 2D convolution and correlation algorithms (delivered 9th May 2020) Motion estimation (delivered 20th May 2020) Introduction to Machine Learning (delivered 20th May 2020) Artificial Neural Networks. Perceptron (delivered 27th May 2020) Multilayer perceptron. Backpropagation (delivered 27th May 2020) Deep learning. Convolutional NNs Deep object detection Object tracking Localization and mapping Fast convolution algorithms. CVML programming tools. Sincerely yours Prof. Ioannis Pitas Director of Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.bach at ucl.ac.uk Thu May 28 08:34:31 2020 From: d.bach at ucl.ac.uk (Dominik R. Bach) Date: Thu, 28 May 2020 14:34:31 +0200 Subject: Connectionists: Post doc position at UCL in human motion sequencing to investigate threat-related behaviour (PI Dominik R Bach) Message-ID: We are looking for a for a Research Fellow in human motion sequencing, for an ERC-funded research project "Action selection under threat - the complex control of human defence" led by Dr Dominik Bach (bachlab.org). The overarching goal of the project is to understand the cognitive-computational control of human motor behaviour under acute, immediate threat. We investigate this in an immersive virtual reality (VR) environment, in which people can move to avoid a large number of different threats. As part of this project, the candidate will conduct full-body motion capture recordings, recover kinematics and dynamics, and structure the ensuing trajectories using hierarchical statistical models incorporating movement mechanics. We want to find out how motor primitives and their sequences are shaped by threat features and by the cognitive mechanisms that they engage. For more background, see references below. The post is based in London UK, at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research (www.mps-ucl-centre.mpg.de ), which is part of the Wellcome Centre for Human Neuroimaging (fil.ion.ucl.ac.uk) at UCL Queen Square Institute of Neurology, a world-class research environment. Applicants should have (or be close to obtaining) a PhD in machine-learning, robotics, computer science, motor science, biomechanics, computational neuroscience, or a related area, by the agreed start date of the position. Experience with motion capture, inverse kinematics and dynamics (in humans or robots), movement trajectory analysis and structuring are essential. Strong background in contemporary machine-learning and applied statistics is essential, as are solid mathematical skills and good general IT and software development knowledge. Familiarity with virtual reality and/or human/animal defensive behaviour would be desirable. The post is funded from Autumn 2020 for 3 years in the first instance. Starting salary on the UCL salary scale, ?35,328 - ?42,701 per annum, inclusive of London Allowance, superannuable. Closing date is 24. June 2020. You should apply for this post through UCL's online recruitment system ? bit.ly/2LYRH64. Shortlisted candidates will be interviewed remotely in early-mid July. Applicants may contact Dr Dominik Bach directly (email: d.bach at ucl.ac.uk) for further information. References: Bach & Dayan (2017) Nature Reviews Neurosciences Korn & Bach (2019) Nature Human Behaviour Please circulate - apologies for cross-posting. -- ----------------------- 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 lorenzr at cbs.mpg.de Thu May 28 05:51:08 2020 From: lorenzr at cbs.mpg.de (Romy Lorenz) Date: Thu, 28 May 2020 11:51:08 +0200 Subject: Connectionists: Postdoctoral position on real-time layer-fMRI at 7T available at MPI in Leipzig Message-ID: <9387C8DE-160E-49FA-A618-423739081C87@cbs.mpg.de> Postdoctoral position on real-time layer-fMRI at 7T The Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig (Germany) invites applications for a Postdoctoral Researcher Position in the Department of Neurophysics with Dr. Romy Lorenz and Prof. Dr. Nikolaus Weiskopf. We are looking for an ambitious postdoc interested in pushing the frontiers of high-resolution fMRI with the aim to resolve laminar activation in higher-level cognitive brain regions in real-time. In this novel and highly ambitious project, we want to combine real-time fMRI at 7T with machine learning (i.e., neuroadaptive Bayesian optimization) to advance our understanding about the specific functional role of different layers in higher-level brain regions. The postdoc will develop methods for and conduct offline (i.e., not real-time) and online (i.e., real-time) experiments with healthy human participants undergoing different cognitive tasks in the 7T scanner. The postdoc will compare different MR acquisition sequences (e.g., gradient-echo BOLD and VASO) and develop offline as well as real-time laminar analyses pipelines of 7T fMRI data. Dr. Romy Lorenz is also affiliated with the University of Cambridge and Stanford University; the postdoc will have the opportunity to benefit from our network of international collaborators. This project is funded by the Klaus Tschira Foundation (PI: RL) and the Max Planck Society. The ideal candidate should have a strong interest in research on high-level cognition and curiosity for real-time and closed-loop experimentation with machine learning. A strong background in fMRI data analysis is essential. The candidate needs to be proficient in MRI data acquisition (i.e., can operate the scanner and modify scanning protocols) as well as MRI data analyses packages (e.g., FSL/SPM and Freesurfer). Strong programming skills in Bash, Matlab and/or Python are required. Prior experience with 7T functional imaging is highly desirable but not necessary. Equally, experience with machine learning-methods and data/code sharing platforms (e.g. GitHub) are desirable. Candidates are expected to have a PhD in physics, computer science, mathematics, biomedical engineering, or cognitive (neuro)science and psychology. The Max Planck Institute offers a world-leading research environment and the postdoc will have access to the latest cutting-edge MRI hardware (including a Siemens Terra 7T, Prisma 3T, Verio 3T and 3T Connectom equipped with 300mT/m gradients) and other excellent research facilities (306-channel MEG, EEG, virtual reality, eye-tracking, TMS/tES). Dedicated support staff will assist with the recruitment of study participants and a team of MR physicists will support the postdoc in the technical realisation of the project. The Institute offers a vibrant and engaging community of international researchers. The working language is English. Leipzig has been called ?Germany?s new cultural hot spot? (The Guardian) and is located just a little over an hour train ride south of the center of Berlin. The starting date for the position is 1st September 2020. The duration of the post is 2 years. Remuneration is based on the pay scale of the Max Planck Society. Female and international applicants are particularly encouraged to apply. The Max-Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. To apply, please submit a single PDF file containing a curriculum vitae (including publication list), personal statement (describing your personal qualifications, research interests and motivation for applying), contact information of three referees and academic certificates (PhD, Diploma/Master, Bachelor certificates). Please submit your application via our online system at http://www.cbs.mpg.de/vacancies (subject heading: ?PD 05/20?). The deadline for application submission is 6th July 2020. Interviews of shortlisted candidates will take place likely via Zoom between 13th-17thJuly 2020. In case of questions, please contact Romy Lorenz at lorenzr at cbs.mpg.de. Dr. Romy Lorenz Sir Henry Wellcome Postdoctoral Fellow University of Cambridge & Max-Planck Institute for Human Cognitive and Brain Sciences romylorenz.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Peter.Mooney at mu.ie Thu May 28 06:32:45 2020 From: Peter.Mooney at mu.ie (Peter Mooney) Date: Thu, 28 May 2020 10:32:45 +0000 Subject: Connectionists: PhD studentship (Neuroevolution in Deep Learning) at Maynooth University, Ireland Message-ID: Dear colleagues, Apologies in advance for any cross-posting which may inevitably occur. It is with great pleasure that we can announce that Maynooth University's Naturally Inspired Computation Research Group has one PhD scholarship position available for a suitably qualified candidate to commence from September 2020 (Deadline: 19th June, 2020). The Scholarship includes full annual fees support (EU and overseas students are welcome to apply), monthly tax-free stipend, some international conference travel, and exciting opportunities to undertake research-oriented teaching and learning activities within the Department of Computer Science. The research focus of this PhD scholarship is related to Neuroevolution in Deep Learning algorithms for selected real-world problems. The research domain of neuroevolution will provide opportunities to work at the forefront of Computer Science research in Evolutionary Computation and Deep Learning. Informal inquiries can be made to: Dr. Edgar Galvan (edgar.galvan at mu.ie) and Dr. Peter Mooney (peter.mooney at mu.ie) Full details and information about the application procedure are available here[1]. We would be very grateful if you could forward this to any potential candidates and/or advertise the position within your own professional networks. With every best wishes, Peter and Edgar [1] https://www.maynoothuniversity.ie/sites/default/files/assets/document//Doctoral%20Scholarship%202020_final.pdf ============================================================================= Dr. Peter Mooney Co-head of the Naturally Inspired Computation Research Group Department of Computer Science Maynooth University Maynooth Co. Kildare Ireland Email: peter.mooney at mu.ie ============================================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Thu May 28 14:20:02 2020 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Thu, 28 May 2020 14:20:02 -0400 Subject: Connectionists: NEURAL NETWORKS, June 2020 Message-ID: <9ada1705-2e65-1f08-a4d5-2c1330eb6c48@cse.ohio-state.edu> Neural Networks - Volume 126, June 2020 https://www.journals.elsevier.com/neural-networks Crowding in humans is unlike that in convolutional neural networks Ben Lonnqvist, Alasdair D.F. Clarke, Ramakrishna Chakravarthi NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation Taiping Zeng, Fengzhen Tang, Daxiong Ji, Bailu Si Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, ... Yonghong Tian Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity Minryung R. Song, Sang Wan Lee Chimera states in hybrid coupled neuron populations Ali Calim, Joaquin J. Torres, Mahmut Ozer, Muhammet Uzuntarla Modeling coherence by ordering paragraphs using pointer networks Divesh Pandey, C. Ravindranath Chowdary Variational approximation error in non-negative matrix factorization Naoki Hayashi Deep neural networks with a set of node-wise varying activation functions Jinhyeok Jang, Hyunjoong Cho, Jaehong Kim, Jaeyeon Lee, Seungjoon Yang Cross-modal dual subspace learning with adversarial network Fei Shang, Huaxiang Zhang, Jiande Sun, Liqiang Nie, Li Liu SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction Keke Huang, Shuo Li, Penglin Dai, Zhen Wang, Zhaofei Yu Brain MRI analysis using a deep learning based evolutionary approach Hossein Shahamat, Mohammad Saniee Abadeh Learning in the machine: To share or not to share? Jordan Ott, Erik Linstead, Nicholas LaHaye, Pierre Baldi Multi-way backpropagation for training compact deep neural networks Yong Guo, Jian Chen, Qing Du, Anton Van Den Hengel, ... Mingkui Tan Learning visual features under motion invariance Alessandro Betti, Marco Gori, Stefano Melacci A fast conformal predictive system with regularized extreme learning machine Di Wang, Ping Wang, Yue Yuan, Pingping Wang, Junzhi Shi Hyperlink regression via Bregman divergence Akifumi Okuno, Hidetoshi Shimodaira Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks Mohammad Azam Khan, Soonwook Kwon, Jaegul Choo, Seok Min Hong, ... Seok Jin Hong Finite-time synchronization of fractional-order gene regulatory networks with time delay Yuanhua Qiao, Hongyun Yan, Lijuan Duan, Jun Miao Global exponential stabilization and lag synchronization control of inertial neural networks with time delays Jichen Shi, Zhigang Zeng Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control Bo Sun, Shengbo Wang, Yuting Cao, Zhenyuan Guo, ... Shiping Wen New optimization algorithms for neural network training using operator splitting techniques Cristian Daniel Alecsa, Titus Pinta, Imre Boros Extracting boolean and probabilistic rules from trained neural networks Pengyu Liu, Avraham A. Melkman, Tatsuya Akutsu Automata complete computation with Hodgkin-Huxley neural networks composed of synfire rings Jeremie Cabessa, Aubin Tchaptchet Multi-view projected clustering with graph learning Quanxue Gao, Zhizhen Wan, Ying Liang, Qianqian Wang, ... Ling Shao Recommendation via Collaborative Autoregressive Flows Fan Zhou, Yuhua Mo, Goce Trajcevski, Kunpeng Zhang, ... Ting Zhong AdaEn-Net: An ensemble of adaptive 2D-3D Fully Convolutional Networks for medical image segmentation Maria Baldeon Calisto, Susana K. Lai-Yuen NFN+: A novel network followed network for retinal vessel segmentation Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai Prediction of admission in pediatric emergency department with deep neural networks and triage textual data Bruno P. Roquette, Hitoshi Nagano, Ernesto C. Marujo, Alexandre C. Maiorano Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics P.R. Vlachas, J. Pathak, B.R. Hunt, T.P. Sapsis, ... P. Koumoutsakos