From fjaekel at uos.de Sun Apr 1 10:51:15 2018 From: fjaekel at uos.de (=?utf-8?q?Frank_J=C3=A4kel?=) Date: Sun, 01 Apr 2018 16:51:15 +0200 Subject: Connectionists: KogWis2018 Conference Call Message-ID: <262c-5ac0f200-2f-353fd940@91313808> KogWis 2018: 14th Biannual Conference of the German Cognitive Science Society Centre for Cognitive Science, Technische Universit?t Darmstadt S1|05: H?rsaal 122, Maschinenhaus, Magdalenenstra?e 12 Darmstadt, Germany, September 3-6, 2018 http://www.tu-darmstadt.de/kogwis2018 KogWis 2018 will be held in Darmstadt, Germany, and invites submissions of extended abstracts on current work in cognitive science. Generally all topics related to cognitive science are welcome. Contributions that address the focus of this meeting, that is, computational cognitive science are particularly encouraged. Computational approaches to cognitive science emphasize formalizing adaptive and intelligent behavior and have strong ties to machine learning and artificial intelligence. Call for Presentations and Posters We call for extended abstracts for oral presentations and for posters. Submissions should be written in English, and be formatted according to the formatting guidelines below. Contributions must be submitted by 20 April 2018 via the EasyChair submission webpage: https://easychair.org/conferences/?conf=kogwis2018 All submissions will be peer-reviewed by members of the review committee. Acceptance will be based on novelty of research, significance of results, and quality of presentation. Accepted abstracts will be published in the online conference proceedings. All accepted contributions must be presented at the conference. So at least one author must register by the early registration deadline or the contribution will not be included in the program. The best submissions to KogWis 2018 will be selected for oral presentation at the conference. Important Dates Main conference:? 03 - 06 September 2018 Submission deadline for extended abstracts: Friday, 20 April 2018 Notification of acceptance (presentations or posters): Monday, 28 May 2018 Early registration deadline: Monday, 02 July 2018 PhD Student Workshop Deadline: Monday, 23 July 2018 We are looking forward to meeting you in Darmstadt, Constantin Rothkopf, Dirk Balfanz, Ralf Galuske, Frank J?kel, Kristian Kersting, Jakob Macke, Betty Mohler -------------- next part -------------- An HTML attachment was scrubbed... URL: From azahkm at gmail.com Mon Apr 2 21:05:55 2018 From: azahkm at gmail.com (Azah Kamilah Muda) Date: Tue, 3 Apr 2018 09:05:55 +0800 Subject: Connectionists: =?utf-8?q?CFP_=3A_The_14th_International_Conferen?= =?utf-8?q?ce_on_Information_Assurance_and_Security_=28IAS_?= =?utf-8?q?=E2=80=9918=29_-_Springer_-_Portugal?= Message-ID: *Call for Papers* Apologies for cross-posting. Kindly help to distribute this final CFP to your mailing list. *-- The 14th International Conference on Information Assurance and Security (IAS ?18) --* http://www.mirlabs.net/ias18 http://www.mirlabs.org/ias18 Indexed by: SCOPUS, Thomson ISI Web of Science, DBLP etc. History of IAS series: http://www.mirlabs.net/ias18/previous.php *IAS 2018: Scopus Proceedings* All accepted and registered papers will be published in AISC Series of Springer, indexed in ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink. Proceedings will be made available during the conference. Expanded versions of selected papers will be published in special issues of internationally referred journals (indexed by SCI) and edited volumes. *** Important Dates ** * -------------------------------- Paper submission due: September 30, 2018 Notification of paper acceptance: October 31, 2018 Registration and Final manuscript due: November 15, 2018 Conference: December 13 - 15, 2018 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *About IAS'18:* ------------------- The International Conference on Information Assurance and Security (IAS) is a major international conference aims to bring together researchers, practitioners, developers, and policy makers involved in multiple disciplines of information security and assurance to exchange ideas and to learn the latest development in this important field. Information assurance and security has become an important research issue in the networked and distributed information sharing environments. Finding effective ways to protect information systems, networks and sensitive data within the critical information infrastructure is challenging even with the most advanced technology and trained professionals. All accepted and registered papers will be included in the conference proceedings to expected be published by Springer. Topics (not limited to): -------------------------------- Information Assurance, Security Mechanisms, Methodologies and Models Authentication and Identity Management Authorization and Access Control Trust Negotiation, Establishment and Management Anonymity and User Privacy Data Integrity and Privacy Network Security Operating System Security Database Security Intrusion Detection Security Attacks Security Oriented System Design Security and Performance trade-off Security Management and Strategy Security Verification, Evaluations and Measurements Secure Software Technologies New Ideas and Paradigms for Security Cryptography Cryptographic Protocols Key Management and Recovery Secure System Architectures and Security Application Web Services Security Grid Security Ubiquitous Computing Security Mobile Agent Security Internet Security Intellectual Property Protection E-Commerce Security E-Government Security E-Health Security Home System Security Sensor Network Security Ad hoc network security Biometrics Security and Applications Secure Hardware and Smartcards Image Engineering, Multimedia Signal Processing and Communication Security Multimedia Security Multimedia Forensic Digital Watermarking and DRM Communication Security Biometrics Information Fusion Image Registration Image Mosaic Image Indexing and Retrieval Image and Video Coding Multiscale Geometric Analysis Motion Detection and Tracing Feature Extraction 3G Communication Embedded System Design ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *Submission Guidelines:* --------------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: http://www.springer.com/series/11156 IAS?18 Submission Link: https://easychair.org/conferences/?conf=ias2018 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ** Organizing Committee ** ------------------------------------ General Chairs: Ana Maria Madureira, Instituto Superior de Engenharia do Porto, Portugal Ajith Abraham, Machine Intelligence Research Labs, USA Technical Committee (Please refer website): http://www.mirlabs.net/ias18/committees.php For technical contact: -------------------------- Ajith Abraham Email: ajith.abraham at ieee.org -- Best Regards, Azah Muda -------------- next part -------------- An HTML attachment was scrubbed... URL: From joue at humtec.rwth-aachen.de Mon Apr 2 11:30:54 2018 From: joue at humtec.rwth-aachen.de (gj) Date: Mon, 2 Apr 2018 17:30:54 +0200 Subject: Connectionists: participants needed for 10-minute online study on news sharing on the Internet Message-ID: <81b11667-61eb-e3a3-e039-11204dc59a94@humtec.rwth-aachen.de> Hi all, I am forwarding an online survey/study on behalf of Professors Roxanne Hiltz, Linda Plotnick and Sukeshini Grandhi on how people seek and share news and information on the Internet/social media. Your participation is greatly appreciated (about 10-15 min): https://www.surveymonkey.com/r/NewsGen Thanks a ton! Gina on behalf of Sukeshini From gunnar.blohm at gmail.com Tue Apr 3 11:58:42 2018 From: gunnar.blohm at gmail.com (Gunnar Blohm) Date: Tue, 3 Apr 2018 11:58:42 -0400 Subject: Connectionists: CoSMo 2018: application deadline Apr 9 approaching! Message-ID: <829cba02-5bd9-1206-0a92-ca34da386463@queensu.ca> Just a quick reminder that the deadline for the 8th annual Computational Sensory-Motor Neuroscience Summer School is approaching fast! *Deadline: Apr 9, 2018!!!* For more information and to apply, please go to http://www.compneurosci.com/CoSMo/ -- ------------------------------------------------------- Dr. Gunnar BLOHM Associate Professor in Computational Neuroscience Association for Canadian Neuroinformatics and Computational Neuroscience (CNCN) Centre for Neuroscience Studies, Departments of Biomedical and Molecular Sciences, Mathematics & Statistics, and Psychology, School of Computing, and Canadian Action and Perception Network (CAPnet) Queen?s University | 18, Stuart Street Kingston, Ontario, Canada, K7L 3N6 Tel: (613) 533-3385 | Fax: (613) 533-6840 Email: Gunnar.Blohm at QueensU.ca | Web: http://www.compneurosci.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From stephan.chalup at newcastle.edu.au Tue Apr 3 12:24:06 2018 From: stephan.chalup at newcastle.edu.au (Stephan Chalup) Date: Tue, 3 Apr 2018 16:24:06 +0000 Subject: Connectionists: CfP: Topical Issue on Deep Learning and Neural Systems in Robotics Message-ID: Call for Papers Topical Issue on Deep Learning and Neural Systems in Robotics in Paladyn. Journal of Behavioral Robotics DESCRIPTION Deep Learning can equip robots with a new level of skill by utilizing insights from neuroscience. These new developments have impact on various types of robots, from companion robots to driver assistance in semi-autonomous vehicles. Deep Learning can enable unprecedented quality of results in tasks such as object detection, localization, communication and behavior learning. Training deep neural networks typically requires GPU workstations or high-performance computing servers. It may require huge amounts of data or innovative training schemes. These issues indicate only some of the special challenges when utilizing deep networks in robotics. Within this context the topics of this special issue include, but are not limited to: ? Applications of deep learning ? Software and hardware systems ? Data acquisition for deep learning ? Neural information processing systems ? Deep learning training schemes and paradigms ? GPU computing for deep learning ? Software engineering for deep learning ? Neural networks on low powered devices ? Human robot interaction and communication ? Cognitive, developmental and evolutionary robotics Authors are requested to submit their full revised version of papers to the Topical Issue complying the general scope of the journal. The submitted papers will undergo the standard peer-review process before they can be accepted. Notification of acceptance will be communicated as we progress with the review process. GUEST EDITORS Stephan K. Chalup, The University of Newcastle, Australia Alan D. Blair, University of New South Wales, Australia Aydan M. Erkmen, Middle East Technical University, Ankara, Turkey Alessandro Di Nuovo, Sheffield Hallam University, UK Neil Vaughan, Royal Academy of Engineering / University of Chester, UK HOW TO SUBMIT Before submission authors should carefully read the Instructions for Authors (https://www.degruyter.com/view/supplement/s20814836_Instructions_for_Authors.pdf) All submissions to the Topical Issue must be made electronically via online submission system Editorial Manager (http://www.editorialmanager.com/paladyn/). All manuscripts will undergo the standard peer-review process (single blind, at least two independent reviewers). When entering your submission via online submission system please choose the option ?TI on Deep Learning and Neural Systems in Robotics?. Submissions for the Topical Issue are now open. The deadlines for the submission are as follows: ? 15 June 2018 (publication in 2018) ? 15 December 2018 (publication in 2019) Individual papers will be reviewed and published online on an ongoing basis. Contributors to the Topical Issue will benefit from: ? Fair and constructive peer review provided by experts in the field ? No space constraints ? NO submission and publication FEES ? Convenient, web-based paper submission and tracking system ? Editorial Manager ? Free language assistance for authors from non-English speaking regions ? Fast online publication of articles (continuous publication model) ? Open Access to your article for all interested readers ? Indexation in SCOPUS ? Long-time preservation (articles archived in Portico) ? Extensive post-publication promotion https://www.degruyter.com/dg/page/Deep%20Learning%20and%20Neural%20Systems%20in%20Robotics https://www.degruyter.com/staticfiles/pdfs/Deep_learning_in_robotics_FLYER.pdf We are looking forward to your submission. If you have any question, please contact us at Stephan.Chalup at newcastle.edu.au or Justyna.Zuk at degruyteropen.com ----------------------------------------------------------------- Associate Professor Stephan Chalup School of Electrical Engineering and Computing The University of Newcastle, Callaghan NSW 2308, Australia Ph. 02 492 16080, Email: stephan.chalup at newcastle.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From kristofor.carlson at gmail.com Tue Apr 3 13:46:44 2018 From: kristofor.carlson at gmail.com (Kris Carlson) Date: Tue, 03 Apr 2018 17:46:44 +0000 Subject: Connectionists: CFP: 2018 IJCNN Workshop: Neuromorphic Hardware in Practice and Use Message-ID: *Call for papers: Workshop on Neuromorphic Hardware in Practice and Use at IJCNN 2018* International Joint Conference on Neural Networks, hosted at IEEE World Congress on Computational Intelligence (IEEE WCCI 2018) 8-13 July 2018, Rio de Janeiro, Brazil - http://www.ecomp.poli.br/~wcci2018/workshops-sessions/#gwt2 *Organizers* Craig M. Vineyard, PhD, Sandia National Laboratories, cmviney at sandia.gov William M. Severa, PhD, Sandia National Laboratories, wmsever at sandia.gov Kristofor D. Carlson, PhD, BrainChip Inc., kcarlson at brainchipinc.com *Website: *http://neuroscience.sandia.gov/research/wcci2018.html *Description of the workshop* This workshop is designed to explore the current advances, challenges and best practices for working with and implementing algorithms on neuromorphic hardware. Despite growing availability of prominent biologically inspired architectures and corresponding interest, practical guidelines and results are scattered and disparate. This leads to wasted repeated effort and poor exposure of state-of-the-art results. We collect cutting edge results from a variety of application spaces providing both an up-to-date, in-depth discussion for domain experts as well as an accessible starting point for newcomers. *Goals & Objectives* The goal is to bring together algorithm and architecture researchers and help facilitate how challenges each face can be overcome for mutual benefit. In particular, by focusing on neuromorphic hardware practice and use, an emphasis on understanding the strengths and weaknesses of these emerging approaches can help to identify and convey the significance of research developments. *Scope and Topics:* Neuromorphic hardware; benchmarks and comparisons; applications, software, and toolkits; algorithms; workflows and integration *Submission Guidelines:* The workshop requests submissions to follow IEEE conference style similar to the main conference. Papers should be submitted in pdf format with a maximum length of 2 pages (excluding references and acknowledgements). Appendices are not permitted beyond the 2 page limit. Submissions will be selected according to reviewer's comments and scoring with emphasis on quality, novelty, appropriateness for the workshop and potential impact on the field. *Important Dates:* - Paper submission deadline: 30 April 2018 - Paper submissions sent to reviewers: 1 May 2018 - Decisions sent to submission authors: 10 May 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From francisco.cruz at ucentral.cl Tue Apr 3 15:41:10 2018 From: francisco.cruz at ucentral.cl (Francisco Cruz) Date: Tue, 3 Apr 2018 16:41:10 -0300 Subject: Connectionists: IEEE WCCI Workshop on Intelligent Assistive Computing - Deadline Extension Message-ID: Workshop on Intelligent Assistive Computing at IEEE WCCI - July 8th, 2018 http://www.wac2018.ecomp.poli.br/ *Paper submission deadline extended to April 30* *Call for papers* We kindly invite you to submit your contributions to the workshop to be held in Rio de Janeiro, Brazil. Assistive technologies have the goal to provide greater quality of life and independence in domestic environments by enhancing or changing the way people perform activities of daily living (ADLs), tailoring specific functionalities to the needs of the users. Significant advances have been made in intelligent adaptive technologies that adopt state-of-the-art learning systems applied to assistive and health-care-related domains. Prominent examples are fall detection systems that can detect domestic fall events through the use of wearable physiological sensors or non-invasive vision-based approaches, and body gait assessment for physical rehabilitation and the detection of abnormal body motion patterns, e.g., linked to age-related cognitive declines. In addition to an adequate sensor technology, such approaches require methods able to process rich streams of (often noisy) information with real-time performance. Assistive technology has been the focus of research in the past decades. However, it flourished in the past years with the fast development of personal robots, smart homes, and embedded systems. The focus of this workshop is to gather neural network researchers, both with application and development focus, working on or being interested in building and deploying such systems. Despite the high impact and application potential of assistive systems for the society, there is still a significant gap between what is developed by researchers and the applicability of such solutions in real-world scenarios. This workshop will discuss how to alleviate this gap with help of the latest neural network research such as deep, self-organizing, generative and recurrent neural models for adaptable lifelong learning applications. In this workshop, we aim at collecting novel methods, computational models, and experimental strategies for intelligent assistive systems such as body motion and behavior assessment, rehabilitation and assisted living technologies, multisensory frameworks, navigation assistance, affective computing, and more accessible human-computer interaction. The primary list of topics covers the following topics (but not limited to): - Machine learning and neural networks for assistive computing - Behavioral studies on assistive computing - Models of behavior processing and learning - New theories and findings on assistive computing - human-machine, human-agent and human-robot interaction focused on assistive computing - Brain-machine interfaces for assistive computing - Crossmodal models for assistive computing *Invited speakers* - Igor Farkas, Comenius University - Giulio Sandini, Istituto Italiano di Tecnologia (IIT) - Stefan Wermter, University of Hamburg *Call for contributions* Participants are required to submit a contribution as: - Extended abstract (maximum 2 pages) - Short paper (maximum 4 pages) Selected contributions will be presented during the workshop as spotlight talks and in a poster session. *Important dates* April 6, 2018 --- *extended to April 30, 2018* - Paper submission deadline May 18, 2018 - Notification of acceptance June 1, 2018 - Camera-ready version July 8, 2018 - Workshop *Organizers* Pablo Barros, University of Hamburg Francisco Cruz, Universidad Central de Chile German I. Parisi, University of Hamburg Bruno Fernandes, Universidade de Pernambuco See more details in: http://www.wac2018.ecomp.poli.br/ -- Dr. Francisco Cruz Research and Teaching Associate Universidad Central de Chile Santa Isabel 1186 8330601, Santiago Phone: +562 2582 6938 http://www.franciscocruz.cl/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Wed Apr 4 03:36:47 2018 From: mpavone at dmi.unict.it (Mario Pavone) Date: Wed, 04 Apr 2018 09:36:47 +0200 Subject: Connectionists: MESS 2018 - Application Deadline is Approaching - Taormina, Italy, 21-25 July 2018 Message-ID: <20180404093647.Horde.NtMgVuph4B9axICPWZFnUvA@mbox.dmi.unict.it> Call for Participation (apologies for multiple copies) ## please forward it to those who may be interested ## -- APPLICATION DEADLINE IS APPROACHING -- ----------------------------------------------------------------------- MESS 2018 - Metaheuristics Summer School - from Design to Implementation - 21-25 July 2018, Taormina, Italy https://www.ANTs-lab.it/mess2018/ mess.school at ANTs-lab.it ----------------------------------------------------------------------- ** APPLICATION DEADLINE: 15th April 2018 ** MESS 2018 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. As first edition, MESS 2018 wants to analyze all metaheuristics from its designing to its implementation. In particular, in MESS 2018 will be analyzed modern heuristic methods for search and optimization problems, as well as the classical exact optimization methods, seen also in the metaheuristics context. All participants will have plenty of opportunities for debate and work with leaders in the field, benefiting from direct interaction and discussions in a stimulating environment. They will also have the possibility to present their recently results and/or their working in progress through oral or poster presentations, and interact with their scientific peers, in a friendly and constructive environment. ** Confirmed Speakers + Christian Blum, IIIA-CSIC, Barcelona, Spain - Lecture 1: Construct, Merge, Solve & Adapt: A Recent Hybrid Metaheuristic - Lecture 2: Swarm Intelligence in Combinatorial Optimization + Juergen Branke, Warwick Business School, UK - Lecture 1: Simulation-based optimisation - Lecture 2: Multi-objective optimisation + Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK - Lecture 1: Basic Concepts of Multiple Criteria Decision Aiding/Making - Lecture 2: Using Preference Elicitation in Evolutionary Multiobjective Optimization + Yaochu Jin, University of Surrey, UK - Lecture 1: Data-driven surrogate-assisted evolutionary multi-objective optimization - Lecture 2: Multi-objective machine learning + Gunther Raidl, Technische Universitat Wien, Austria - Lecture 1: Pushing the Limits with Hybrid Metaheuristics - Lecture 2: Large Neighborhood Search Techniques + Helena Ramalhinho Lourenco, Universitat Pompeu Fabra, Spain - Lecture 1: Extensions of Iterated Local Search - Lecture 2: Issues and examples of applying metaheuristics in business + Mauricio Resende, AMAZON, USA - Lecture 1: Biased Random-Key Genetic Algorithms ? part I - Lecture 2: Biased Random-Key Genetic Algorithms ? part II + Celso Ribeiro, Universidade Federal Fluminense, Brazil - Lecture 1: Optimization by GRASP ? Part I - Lecture 2: Optimization by GRASP ? Part II + Andrea Schaerf, University of Udine, Italy - Lecture 1: Simulated Annealing and Friends: Introduction to Randomized Local Search Methods - Lecture 2: Simulated Annealing, we need to talk: Critical Analysis of Real-World Applications of Randomized Local Search Methods to Scheduling and Timetabling Problems + Fabio Schoen, Unviersity of Florence, Italy - Lecture 1: Large scale global optimization methods: basics - Lecture 2: Large scale global optimization methods: examples of applications + El-Ghazali Talbi, University of Lille 1, France - Lecture 1: TBA - Lecture 2: TBA + Daniele Vigo, University of Bologna, Italy - Lecture 1: Heuristic approaches for Vehicle Routing Problems - part I - Lecture 2: Heuristic approaches for Vehicle Routing Problems - part II ** Tutorial + Luca Di Gaspero, University of Udine, Italy Title: TBA + Paola Festa, University of Naples ?Federico II?, Italy Title: ?Successful applications of GRASP and its hybrids for hard combinatorial problems? ** Short Talk and Poster Presentation All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. Mini-Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted by *April 15, 2018*. ** Sponsor & Scholarships: Thanks to the sponsorship by EU/ME METAHEURISTICS working group (https://www.euro-online.org/websites/eume/), some scholarships for the best participants will be available. More sponsors and scholarships will be announced soon!! ** Certificate: Participants will be delivered a certificate of attendance indicating the number of hours of lectures. The school will involve a total of 36-40 hours of lectures, which allows to all PhD, and master students to may get *8-ECTS* points. ** School Directors + Salvatore Greco, University of Catania, Italy + Panos Pardalos, University of Florida, USA + Mario Pavone, University of Catania, Italy + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy ** Oral & Poster Presentation Organizers + Luca Di Gaspero, Unviersity of Udine, Italy + Paola Festa, University of Naples "Federico II", Italy ** Metaheuristics Competition Chair + Raffaele Cerulli, University of Salerno, Italy ** More Information: https://www.ANTs-lab.it/mess2018/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school -- Dr. Mario Pavone (PhD) Assistant Professor Department of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy tel: 0039 095 7383034 fax: 0039 095 330094 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ =========================================================== MESS 2018 - Metaheuristics Summer School 21-25 July 2018, Taormina, Italy W: https://www.ANTs-lab.it/mess2018/ E: mess.school at ANTs-lab.it FB: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school =========================================================== From shobeir at gmail.com Tue Apr 3 22:10:33 2018 From: shobeir at gmail.com (Shobeir Fakhraei) Date: Tue, 3 Apr 2018 19:10:33 -0700 Subject: Connectionists: [CFP] KDD MLG'18 - 14th International Workshop on Mining and Learning with Graphs (London, UK) Message-ID: *14th International Workshop on Mining and Learning with Graphs (MLG 2018)August 20, 2018London, UK (co-located with KDD 2018)http://www.mlgworkshop.org/2018/ Submission Deadline: May 8, 2018Call for papers:This workshop is a forum for exchanging ideas and methods for mining and learning with graphs, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances graph analysis. In doing so, we aim to better understand the overarching principles and the limitations of our current methods and to inspire research on new algorithms and techniques for mining and learning with graphs.To reflect the broad scope of work on mining and learning with graphs, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation, to applications and empirical studies. As an example, the growth of user-generated content on blogs, microblogs, discussion forums, product reviews, etc., has given rise to a host of new opportunities for graph mining in the analysis of social media. We encourage submissions on theory, methods, and applications focusing on a broad range of graph-based approaches in various domains.Topics of interest include, but are not limited to:Theoretical aspects: - Computational or statistical learning theory related to graphs- Theoretical analysis of graph algorithms or models- Sampling and evaluation issues in graph algorithms- Analysis of dynamic graphsAlgorithms and methods: - Graph mining- Probabilistic and graphical models for structured data- Heterogeneous/multi-model graph analysis- Network embedding models- Statistical models of graph structure- Combinatorial graph methods- Semi-supervised learning, active learning, transductive inference, and transfer learning in the context of graphsApplications and analysis: - Analysis of social media- Analysis of biological networks- Knowledge graph construction- Large-scale analysis and modelingAll papers will be peer reviewed, single-blinded. We welcome many kinds of papers, such as, but not limited to: - Novel research papers- Demo papers- Work-in-progress papers- Visionary papers (white papers)- Appraisal papers of existing methods and tools (e.g., lessons learned)- Relevant work that has been previously published- Work that will be presented at the main conferenceAuthors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions. Submissions must be in PDF, no more than 8 pages long ? shorter papers are welcome ? and formatted according to the standard double-column ACM Proceedings Style . The accepted papers will be published on the workshop?s website and will not be considered archival for resubmission purposes. Authors whose papers are accepted to the workshop will have the opportunity to participate in a spotlight and poster session, and some set will also be chosen for oral presentation, and considered for $1,000 best paper award sponsored by Kyndi.Timeline:Submission Deadline: May 8, 2018Notification: June 8, 2018 Final Version: June 28, 2018Workshop: August 20, 2018Submission instructions can be found on http://www.mlgworkshop.org/2018/ Please send enquiries to chair at mlgworkshop.org We look forward to seeing you at the workshop!Organizers:Shobeir Fakhraei (University of Southern California, ISI)Danai Koutra (University of Michigan, Ann Arbor)Julian McAuley (University of California, San Diego) Bryan Perozzi (Google Research)Tim Weninger (University of Notre Dame)To receive updates about the current and future workshops and the Graph Mining community, please join the mailing list: https://groups.google.com/d/forum/mlg-list or follow the twitter account: https://twitter.com/mlgworkshop **Find a PDF copy of the CFP here: http://www.mlgworkshop.org/2018/MLG2018_CFP.pdf * -------------- next part -------------- An HTML attachment was scrubbed... URL: From erishabh at gmail.com Wed Apr 4 14:26:09 2018 From: erishabh at gmail.com (Rishabh Mehrotra) Date: Wed, 4 Apr 2018 19:26:09 +0100 Subject: Connectionists: Research Scientist positions at Spotify Research, London Message-ID: *TL;DR:* Full time research positions at Spotify Research in London. Apply here . We are looking for Research Scientists for Spotify?s User Engagement organization. User Engagement is a high impact team that is building the next generation technologies aimed at making every user interaction with Spotify amazing through personalization and discovery. Our goal is to deliver the right content to the right user at the right time in order to maximize engagement. We?re looking for talented research scientists who have applied experience in the field of Machine Learning, Machine Intelligence, User Behavioral Analysis, IR, NLP, and more broadly, AI. You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at or above the state of the art and, in the process, redefine the state of the art for the field and contributing to the wider research community by publishing papers. Our team has strong ties internally to product groups as well as externally to the research community. The User Engagement team works on some of Spotify?s key features ? personalized playlists such as Discover Weekly and Daily Mix, the Home view, and Search. Our projects are intended to take on some of technology?s greatest challenges and make impact on millions of users. Some of the challenges our team is working on include developing terascale solutions for understanding and interpreting user interaction signals, understanding user success with short term & long term metrics, developing algorithmically curated playlists and other challenges in machine learning and user understanding. *What you?ll do:* - You will participate in cutting edge research in machine intelligence, user understanding and machine learning applications. - You will apply your scientific knowledge to analyze data, perform statistical analyses, identify problems, devise solutions and construct methodologies, including metrics and best practices, and conduct experiments to validate these. - You will work in collaboration with other scientists, analysts and engineers across Spotify to design creative solutions to challenging problems. - You will have product impact, while working on and further develop Spotify?s long-term research roadmap. *Who you are:* - You have a PhD in Computer Science, Data Science, or related areas with a strong computational focus. - You will have a strong knowledge of data mining, machine learning or evaluation with experience in machine learning, deep learning, optimization techniques, information retrieval and/or natural language understanding. - You have publications in communities such as WWW, SIGIR, WSDM, RecSys, CHI, KDD, AAAI, ACL, NIPS, ICML, or related, in the following topics: - user understanding: music cognition, metrics and evaluation, large scale experimentation - matching: information retrieval, recommendation, machine learning - You possess solid hands-on skills in sourcing, cleaning, manipulating, analyzing, visualizing and modeling of real data. - You have a passion for making sense of user behavior, using any available methods. - You are a creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. *Applications:* https://www.spotifyjobs.com/job/research-scientist-ohqf6fwc/ https://www.linkedin.com/jobs/view/research-scientist-at-spotify-615388733/ *Contact:* Feel free to get in touch with Mounia Lalmas (mounial at spotify.com) or Rishabh Mehrotra (rishabhm at spotify.com) for details/questions. -- Rishabh. Web: www.rishabhmehrotra.com Twitter: https://twitter.com/erishabh -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.lepora at bristol.ac.uk Wed Apr 4 11:43:51 2018 From: n.lepora at bristol.ac.uk (Nathan Lepora) Date: Wed, 4 Apr 2018 15:43:51 +0000 Subject: Connectionists: [meetings] Final call for abstracts for talks/posters - ICRA 2018 Workshop on Active touch for perception and interaction: How nature inspires robotics In-Reply-To: References: , Message-ID: Final call for extended abstracts for posters and short talks ? *extended* deadline Monday 9 April, 2018 Submissions from postdocs and students are particularly welcome for short talks. ------------------ Active touch for perception and interaction: How nature inspires robotics ICRA 2018 Workshop - Friday 25 May, 2018 (all day) Brisbane Convention & Exhibition Centre, Australia Website: https://sites.google.com/view/icra18activetouch Submission deadline: Friday 9 April, 2018 Submission: https://easychair.org/conferences/?conf=icra18activetouch Format: Authors should submit an extended abstract (2 pages recommended) as a PDF in the standard ICRA conference format, in order to present a poster or short talk at the workshop. Demonstrations: Attendees of the workshop who would like to do a demonstration should also submit an abstract detailing their demonstration, marked 'Demonstration' in the title. ----------------- Scope Robots with a biomimetic level of tactile perception and interaction capability would transform our economy and society, with applications ranging from assistive robots in factories and at home, social interaction, healthcare and disaster rescue. The natural sense of touch that inspires technology is not limited merely to the anatomy of the sensory organs, but encompasses also the active behaviours and habits in using touch to interact with the environment, both in humans and animals. This workshop will encompass recent progress in the area of active touch for perception and interaction from the perspective of how nature inspires robotics. Preliminary program https://sites.google.com/view/icra18activetouch/program Keynote speaker Vincent Hayward - Mechanics of Tactile Perception Invited speakers Edward Adelson & Wenzhen Yuan (MIT) ? artificial tactile perception and tactile sensor fabrication Jeremy Fishel (Syntouch) ? bio-inspired active touch and tactile sensor fabrication Ravinder Dahiya (Univ Glasgow) - robotic tactile sensing and electronic skin Shinichi Hirai (Ritsumeikan Univ) - soft biomimetic tactile sensing Allison Okamura (Stanford) ? haptic feedback in humans Tony Prescott (Univ Sheffield) ? active touch, biomimetic whiskered robots Nitish Thakor (Singapore Inst) - soft haptic neuroprosthetics (invited) Pablo Vadivia (Singapore Univ) ? underwater biomimetic touch Yon Visell (UCSB) ? active touch and haptics (invited) Organizers Nathan Lepora (Univ Bristol / Bristol Robotics Lab) - biomimetic sensor fabrication and active touch Van Ho (Japan Adv Inst of Science and Tech) - human and artificial touch Hongbin Liu (Kings College London) - tactile robotics in medicine Lorenzo Natale (Istituto Italiano di Tecnologia) - humanoid touch Gordon Cheng (Technische Universitat Munchen) - biomimetic touch -- Dr Nathan Lepora, Reader in Robotics & BRL lead in Tactile Robotics Dept of Engineering Maths, Merchant Venturers Building, University of Bristol Office (MVB2.50): 0117 3315169 Lab (BRL bays 1-3): 0117 3286171 www.lepora.com @nathanlepora @tactilerobot -------------- next part -------------- An HTML attachment was scrubbed... URL: From almayalanis at gmail.com Wed Apr 4 16:19:12 2018 From: almayalanis at gmail.com (Alma Y. Alanis) Date: Wed, 4 Apr 2018 15:19:12 -0500 Subject: Connectionists: First call for papers for 2018 IEEE LA-CCI Message-ID: *2018 IEEE ? 5th IEEE Latin-American Conference on Computational Intelligence (IEEE LA-CCI 2018)* November, 7-9th, 2018 Sponsored by the IEEE-CIS Supported by CI Societies/Groups from: Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Mexico (Host), Peru and Venezuela THE CONFERENCE WEBSITE LINK => http://la-cci.org/ FOR SUBMMITING YOUR LATEST WORK => https://easychair.org/conferen ces/?conf=2018ieeelacci FIRST-CFP (*FEEL FREE TO DISTRIBUTE*) => http://la-cci.org/la-cci-2018/ call-for-papers-2018/ Important Dates Paper submissions: *April 15, 2018* Notification of acceptance: June 15, 2018 Theses Contest Deadline: June 15, 2018 IEEE LA-CCI School: November 7-9, 2018 2018 IEEE LA-CCI: November 7-9, 2018 List of Key - Speakers (CONFIRMED): - Carlos Coello, Mexico - Carlos Lopez-Franco, Mexico - Esteban A. Hernandez-Vargas, Germany - Hojjat Adeli, USA - Jagannathan Sarangapani, USA - Nancy Arana-Daniel, Mexico - Oscar Castillo, Mexico - Patricia Melin, Mexico - Paul Werbos, USA - Vicenzo Piuri, Italy Main-Tracks: I) *Evolutionary& Swarm Computation*: Genetic Algorithms, Genetic Programming, Artificial Immune Systems, Swarm Intelligence, Collective Intelligence, Evolvable Hardware, Bio-inspired Methods. *CHAIR: Erik Cuevas* II) *Neural& Learning Systems*: Neural Networks, Machine Learning, Complex Systems, Molecular and Quantum Computing, Complex Networks. *CO-CHAIRS: Nancy Arana-Daniel and Carlos Lopez-Franco* III) *Fuzzy & Stochastic Modeling*: Fuzzy Systems, Fuzzy Control & Decision Making, Uncertainty Analysis, Rough Sets, Fractals, Multiagent Systems, Reinforcement Learning, Game Theory. *CHAIR: Daniel Navarro* Activities: LA-CCI SCHOOL on CI; POST GRADUATE THESIS CONTEST; ROUND-TABLES & more. Warm regards, Alma Y. Alanis and Marco A. Perez-Cisneros PC-Chairs of 2018 IEEE LA-CCI University of Guadalajara, Mexico -------------- next part -------------- An HTML attachment was scrubbed... URL: From bodenhofer at bioinf.jku.at Fri Apr 6 02:52:25 2018 From: bodenhofer at bioinf.jku.at (Ulrich Bodenhofer) Date: Fri, 6 Apr 2018 08:52:25 +0200 Subject: Connectionists: Two Research Fellows in Machine Learning / Deep Learning, Hochreiter Group, Linz, Austria Message-ID: Two Research Fellows in Machine Learning / Deep Learning, Hochreiter Group, Linz, Austria Johannes Kepler University Linz (JKU), Austria, is looking for two post-doctoral research fellows to advance machine learning and deep learning with Sepp Hochreiter. These six year positions are affiliated with the LIT AI Lab and the Institute of Bioinformatics. Job description: ??? ? Conduct independent research and collaborate in machine learning and deep learning projects ??? ? Publish in renowned international journals and conferences ??? ? Supervise students; give lectures; support study programs Requirements: ??? ? PhD degree ??? ? Track record in machine learning (e.g. deep learning, reinforcement learning, kernel methods, probabilistic modeling) ??? ? Knowledge in one or more of the following application domains is a plus: bio-/chemoinformatics, signal processing, vision, speech, natural language processing ??? ? Willingness and ability to work in a team and to support students and junior researchers About the group: Within the last years, Sepp Hochreiter (who is best known for the invention of LSTM, for the Vanishing Gradient problem, ?Flat Minima?, and ?Learning to Learn?) has built up a dynamic team of >20 researchers. The group has recently achieved widely acclaimed successes, such as, winning the NIH?s Tox21 toxicity prediction challenge with deep learning, the ELU activation function, Self-Normalizing Networks, and the proof of GAN learning convergence. The group has many international collaborations and receives funding from companies, such as, Johnson&Johnson, Merck, Bayer, Zalando, and Audi, e.g. through the Audi.JKU Deep Learning Center or the newly established LIT AI Lab. About the location: The area offers excellent quality of living in the heart of Europe ? close to the alps between Vienna, Salzburg, Prague and Munich. Linz provides a superb cultural environment, e.g. with the Ars Electronica Festival and the nearby Salzburg Festival. Moreover, the world-cultural heritage sites Hallstatt and ?esk? Krumlov are less than two hours away. The picturesque and versatile landscape provides countless options for recreation and sports in nature (skiing, hiking, climbing, cycling, and many more). If you have questions, please contact: Prof. Dr. Sepp Hochreiter, +43 732 2468 4520, Sepp.Hochreiter at jku.at. Prospective applicants interested in these positions are requested to electronically send an application via the online portal http://jku.at/application. Please include ?Job Reference Number 3579? (deadline: April 25, 2018) or ?Job Reference Number 3578? (deadline: July 4, 2018) in your application. From navlakha at salk.edu Fri Apr 6 01:46:18 2018 From: navlakha at salk.edu (Saket Navlakha) Date: Thu, 5 Apr 2018 22:46:18 -0700 Subject: Connectionists: Biological Distributed Algorithms 2018 Workshop Message-ID: <9C95EA33-654E-40F6-888B-ED9F2120F7FA@salk.edu> PS: We have travel awards available for every presenter. ======================================================= The 6th Workshop on Biological Distributed Algorithms (BDA 2018) July 23, 2018 in London, UK. Co-located with PODC 2018 http://www.snl.salk.edu/~navlakha/BDA2018/ ======================================================= We are excited to announce the 6th workshop on Biological Distributed Algorithms (BDA). The aim of the workshop is to foster collaborative research between biologists and distributed computing theory researchers, with the hope of producing better understanding of the behavior of distributed biological systems, as well as new ideas for design of algorithms for engineered or computational networks. BDA 2018 will include presentations on distributed algorithms related to a variety of biological systems, with special attention to communication and coordination in insect colonies (e.g. foraging, navigation, task allocation, construction) and networks in the brain (e.g. learning, decision-making, attention). This is a one-day workshop. =========== SUBMISSIONS =========== We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and an extended abstract of at most 4 pages. Please use the following EasyChair submission link: https://easychair.org/conferences/?conf=bda20183 Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues. =============== TRAVEL SUPPORT =============== This year, we will provide financial support for all our presenters. Specifically, for each selected presentation, we will pay for an economy class return flight to London (up to 1,000 EUR) and reimburse the workshop registration fee of one author. =============== IMPORTANT DATES =============== May 5, 2018 ? Extended abstract submission deadline May 26, 2018 ? Decision notifications July 23, 2018 ? Workshop ================ INVITED (PRE-SELECTED) SPEAKERS ================ To be announced soon ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph - CMU Anna Dornhaus - University of Arizona Yuval Emek - Technion Amos Korman - CNRS and University of Paris Diderot Nancy Lynch - MIT Melanie Moses, University of New Mexico Saket Navlakha - Salk Institute Merav Parter, MIT Andrea Richa, Arizona State University Nir Shavit, MIT ========================= ORGANIZERS (and PC CHAIRS) ========================= Yuval Emek, Amos Korman, and Saket Navlakha From bodenhofer at bioinf.jku.at Fri Apr 6 03:02:11 2018 From: bodenhofer at bioinf.jku.at (Ulrich Bodenhofer) Date: Fri, 6 Apr 2018 09:02:11 +0200 Subject: Connectionists: PhD Position in Machine Learning / Deep Learning, Hochreiter Group, Linz, Austria Message-ID: PhD Position in Machine Learning / Deep Learning, Hochreiter Group, Linz, Austria Johannes Kepler University Linz (JKU), Austria, is looking for a research and teaching assistant in the area of machine learning and deep learning with Sepp Hochreiter. This four year position is to be filled with a PhD student and will be affiliated with the LIT AI Lab and the Institute of Bioinformatics. Job description: ??? ? Conduct research in machine learning / deep learning with the aim to obtain a PhD within four years ??? ? Publish in renowned international journals and conferences ??? ? Assist in teaching Requirements: ??? ? MSc degree or equivalent ??? ? Strong interest and previous education in machine learning (e.g. deep learning, reinforcement learning, kernel methods, probabilistic modeling); a track record in the field is a plus (e.g. MSc thesis, publications, project experience). ??? ? Knowledge in one or more of the following application domains is a plus: bio-/chemoinformatics, signal processing, vision, speech, natural language processing About the group: Within the last years, Sepp Hochreiter (who is best known for the invention of LSTM, for the Vanishing Gradient problem, ?Flat Minima?, and ?Learning to Learn?) has built up a dynamic team of >20 researchers. The group has recently achieved widely acclaimed successes, such as, winning the NIH?s Tox21 toxicity prediction challenge with deep learning, the ELU activation function, Self-Normalizing Networks, and the proof of GAN learning convergence. The group has many international collaborations and receives funding from companies, such as, Johnson&Johnson, Merck, Bayer, Zalando, and Audi, e.g. through the Audi.JKU Deep Learning Center or the newly established LIT AI Lab. About the location: The area offers excellent quality of living in the heart of Europe ? close to the alps between Vienna, Salzburg, Prague and Munich. Linz provides a superb cultural environment, e.g. with the Ars Electronica Festival and the nearby Salzburg Festival. Moreover, the world-cultural heritage sites Hallstatt and ?esk? Krumlov are less than two hours away. The picturesque and versatile landscape provides countless options for recreation and sports in nature (skiing, hiking, climbing, cycling, and many more). If you have questions, please contact: Prof. Dr. Sepp Hochreiter, +43 732 2468 4520, Sepp.Hochreiter at jku.at. Prospective applicants interested in this position are requested to electronically send an application via the online portal http://jku.at/application. Please include ?Job Reference Number 3533? (deadline: June 4, 2018) in your application. From sandhyaprabhakaran at gmail.com Thu Apr 5 12:41:59 2018 From: sandhyaprabhakaran at gmail.com (Sandhya Prabhakaran) Date: Thu, 5 Apr 2018 12:41:59 -0400 Subject: Connectionists: 1st Call for Submissions to Joint ICML and IJCAI Workshop on Computational Biology 2018 Message-ID: Dear all, Please kindly circulate this to interested graduate students, post-docs and faculty. CALL FOR SUBMISSIONS We invite submissions to the Joint ICML and IJCAI Workshop on Computational Biology (https://sites.google.com/view/wcb2018) to be held in Stockholmsm?ssan, Stockholm SWEDEN (http://icml.cc/ and https://www.ijcai-18.org/) (July 10-15, 2018). In Biology, there have been credible developments in high-throughput technologies such as next-generation sequencing, CyToF and single-cell sequencing that enable large-scale data generation from many interesting biological systems such as cancer, autoimmune diseases, and human development. However, the scale of these new data make it challenging to analyze with traditional computational biology methods. In contrast, it presents an opportunity for machine learning practitioners to make significant contributions to our knowledge about human health and disease.. It therefore seems befitting to bring together researchers engaged in applying ML in Computational Biology to discuss recent advances in this interdisciplinary field and ongoing developments. We have invited several distinguished speakers from the Computational Biology community to discuss and present their current research. We also invite extended abstracts, long papers and highlight papers dealing with novel algorithms and computational approaches that are especially robust and scalable to high-dimensional data defined by tens of thousands of features as well as thousands to millions of observations. and provide interpretable relationships in biological systems. These can be applications of ML methods or bioinformatics approaches to biological and biomedical data. Papers will be presented in poster format and some will be selected for oral presentation. Through invited talks and presentations by the participants, this workshop will bring together current advances in Computational Biology and set the stage for continuing interdisciplinary research discussions. IMPORTANT DATES Deadline for submissions : May 21st, 2018 Notification of acceptance : June 11th 2018 Workshop date : July 14th or 15th 2018 (TBD) SUBMISSION All novel Computational Biology approaches are of interest to the workshop. We welcome original abstracts on recently published work as well as preliminary ideas in *three* different formats: a) Extended abstracts not exceeding 4 pages in length (plus 1 optional page for references). b) Long papers upto 10 pages in length (plus 1 optional page for references). A set of these long papers will be further invited to publish an extended version in a special edition of a reputed journal. For this, there will be a second round of peer reviews. The special edition will be published 3 months post FAIM. c) Highlight papers not exceeding 2 pages with an abstract and link to recently published paper/code. This avenue can be used to project already published articles. All submissions must use either the ICML/IJCAI template. The submission need not be anonymized. If the submission concerns previously published work, please cite the original paper in the workshop submission. All accepted contributions shall be presented at the poster session. There will be Awards for Best Poster Presentations. In addition, a set of best submissions will also have the opportunity to present their work as Contributed Talks, and will receive Student Travel Awards. Accepted abstracts will have the option of being published on the workshop website. For authors who do not wish their abstracts to be posted online or become citable, please mention this in the workshop submission. Submissions should be made through the EasyChair (https://easychair.org/ conferences/?conf=icml-ijcai-wcb2018) system. INVITED SPEAKERS Samuel Kaski: Director, Finnish Centre of Excellence in Computational Inference Research COIN, Aalto University and University of Helsinki, Academy Professor (Research Professor), and Professor of Computer Science, Aalto University Dana Pe?er: Chair, Computational and Systems Biology Program Scientific Director, Metastasis and Tumor Ecosystems Center, Memorial Sloan Kettering Cancer Centre, NYC 3rd speaker: TBA REGISTRATION All participants must register for the ICML 2018 conference ( http://icml.cc/2018/) or IJCAI 2018 conference (https://www.ijcai-18.org/) CONTACT For workshop-related queries please contact: workshopcompbio at gmail.com We are looking forward to your submissions! ORGANIZING COMMITTEE: Dana Pe?er: peerd at mskcc.org Christina Leslie: cleslie at cbio.mskcc.org Anshul Kundaje: akundaje at stanford.edu Barbara Engelhardt: bee at princeton.edu Mohammed Javeed Zaki: zaki at cs.rpi.edu Wajdi Dhifli: wajdi.dhifli at univ-lille.fr Abdoulaye Banir? Diallo: diallo.abdoulaye at uqam.ca Engelbert Mephu Nguifo: engelbert.mephu_nguifo at uca.fr Elham Azizi: azizie at mskcc.org Sandhya Prabhakaran: prabhaks at mskcc.org Meghana Kshirsagar: kshirsam at mskcc.org Wesley Tansey: wt2274 at cumc.columbia.edu Ambrose Carr: ajc2205 at columbia.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From Jakob.Macke at caesar.de Fri Apr 6 04:45:32 2018 From: Jakob.Macke at caesar.de (Jakob Macke) Date: Fri, 6 Apr 2018 08:45:32 +0000 Subject: Connectionists: =?utf-8?q?Conference=3A_=E2=80=9CMissing_links_in?= =?utf-8?q?_neuroscience=3A_Bridging_scales_in_theory_and_experiment?= =?utf-8?q?=E2=80=9D=2C__June_5/6_2018=2C_Bonn?= Message-ID: <93F6B69D-C1F1-41A2-9350-FE530B551D56@caesar.de> Dear colleagues, We are happy to announce the 7th international caesar conference: ?Missing links in neuroscience: Bridging scales in theory and experiment? / June 5th ? 6th, 2018, at caesar Bonn. In addition to invited talks, the program will also include a poster-session and contributed talks which will be selected from submitted abstracts? deadline for submissions is May 1st. We especially encourage junior scientists to apply for contributed talks We will provide free childcare at the conference (subject to capacity limitations). Enquires about childcare should be addressed to Bettina.Bosse at caesar.de Info and registration: www.caesarconference.com Topic: Unraveling the principles by which neural circuits process information and guide behavior is one of the central problems of neuroscience. One of the main challenges is that neural information processing takes place on multiple temporal and spatial scales, ranging from subcellular processes in neurons and synapses up to the level of the behaving animal. Bridging these scales requires both experimental techniques which can monitor and probe the system at multiple levels of organization, as well as mathematical frameworks for interpreting experimental results and formulating testable theories. The caesar conference brings together scientists from experimental and theoretical neuroscience to discuss how observations and models of the nervous system at a multiple spatial and/or temporal scales can be integrated. We aim to foster discussions about how to bridge not only the relevant scales, but also how to link experimental data, numerical simulations and conceptual models. Invited speakers: Johann Bollmann Carlos Brody Andrea Bugalossi Eugenia Chiappe Mark Ellisman Rainer Friedrich Surya Ganguli Vivek Jayaraman Peter Jonas Judit Makara Hannah Monyer Eilif Muller Timothy O?Leary Manuela Schmidt Haim Sompolinsky Staci Sorensen Tim Vogels Claire Wyart Research center caesar (www.caesar.de) is a center for neuroethology research operated by the caesar foundation, and is associated with the Max Planck Society. The organizing committee can be contacted via Bettina Bosse (bettina.bosse at caesar.de). With best regards, Jakob Macke, Marcel Oberlaender, Bettina Schnell, Johannes Seelig Jakob Macke, TU Darmstadt and caesar Bonn www.mackelab.org From J.Spencer at uea.ac.uk Fri Apr 6 04:39:42 2018 From: J.Spencer at uea.ac.uk (John Spencer (PSY - Staff)) Date: Fri, 6 Apr 2018 08:39:42 +0000 Subject: Connectionists: Register by April 15 for developmental dynamics workshop... Message-ID: <5D934D0D-00AA-49B8-9570-79EA46301E0B@contoso.com> Greetings Colleagues, There are just 9 days left to register for the workshop, ?Expanding the Field: Multi-Disciplinary Developmental Dynamics? to be held June 3-6, 2018 at the University of East Anglia in Norwich, UK. This event will be followed by the ?Dynamic Field Theory Bootcamp? from June 7-9, 2018. A complete description of both events including registration information can be found at our website: https://etf2018.dynamicfieldtheory.org/ Cheers, John Spencer John P. Spencer, PhD Professor Developmental Dynamics Lab https://www.facebook.com/DDPSYUEA School of Psychology, Room 0.09 Lawrence Stenhouse Building, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ United Kingdom Email: j.spencer at uea.ac.uk School website: http://www.uea.ac.uk/psy Telephone 01603 593968 [id:image001.png at 01D3558E.BA693390] Gold (Teaching Excellence Framework 2017-2020) UK Top 15 (The Times/Sunday Times 2018 and Complete University Guide 2018) World Top 200 (Times Higher Education World University Rankings 2018) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 8373 bytes Desc: image001.png URL: From m.reske at fz-juelich.de Fri Apr 6 05:33:50 2018 From: m.reske at fz-juelich.de (Martina Reske) Date: Fri, 6 Apr 2018 11:33:50 +0200 Subject: Connectionists: Open position: System administrator in Computational Neuroscience - Research Center Juelich, Germany Message-ID: <58d01cf7-ff99-d98f-163d-e01e18aa1da9@fz-juelich.de> Reference number: 2018-104 The Institute of Neuroscience and Medicine (INM) at Forschungszentrum J?lich, Germany, investigates the structure and function of the human brain on different spatial and temporal scales within the research program ?Decoding the Human Brain?. The Supercomputing Centre is home of one of the most powerful machines and has a leading role in the European exascale strategy. Basic neuroscience connects the two research areas as it heavily relies on modeling and simulation, which are necessary to approach the brain?s immense complexity, manage the huge amount of resulting data, and develop reliable control techniques. Acquired knowledge allows for the translation of basic findings into clinical applications to better understand neurological and psychiatric disorders, to refine diagnostic processes, and to develop therapy strategies ? crucial tasks we have to face in ageing societies. Additionally, the research lays foundations for novel computer architectures and their operation. The department INM-6, Computational and Systems Neuroscience (https://www.csn.fz-juelich.de), develops mathematical models of neuronal dynamics and function. Model-driven analyses of brain activity and structure as well as simulation of biologically realistic models form the core of our work. The institute is also part of the Institute of Advanced Simulation (IAS-6, Theoretical Neuroscience) and hosts the Coordination Site (BCOS) of the national Bernstein Network Computational Neuroscience. Among others, the INM-6/IAS-6 is actively involved in the EU flagship project ?Human Brain Project? (HBP, https://www.humanbrainproject.eu/). Together with its partners, INM-6 develops analysis tools and the leading simulation code (NEST) for brain scale networks with cellular resolution in an open source approach. We are looking to recruit a 2018-104 System Administrator Your Job: * direct support of scientists in all problems concerning hard- and software * support of division?s databases and online tools of support of user account management * purchasing, set-up and management of UNIX, Linux and Windows systems and software * purchasing, set-up and management of communication systems and media control systems * preparation, set-up and operation of temporary IT infrastructure during workshops and meetings * documentation of processes and management of licenses and contracts * development and realization of concepts of safe and fast exchange of data within the division and with partners, e.g. in branch offices * development of a concept to harmonize user profiles for different software systems of the department * further development of division?s video conference solutions and their maintenance * compilation of requirement analyses together with users * guidance for users with regard to the realization of IT solutions for scientific problems * development of software solutions to harmonize different user interfaces with our branch offices in Freiburg and our cooperation partner in Marseille * elaboration, development, implementation and testing of mechanisms of quality assurance for the exchange of data sets * compilation of respective program and user documentation * briefing of end users * support of technical collaboration with J?lich Supercomputing Centre (JSC) * coordination of utilization of institute's High Performance Computing (HPC) resources * coordination of grant writing for computing time on supercomputers * participation in planning of institute?s storage and computing capacities Your Profile: * completed study of informatics, mathematics or physics * substantial expertise in C, C++ and Python * substantial knowledge of UNIX, Mac OS, and Windows * experience with administration of HPC clusters, file, web and print servers as well as with parallel computing * ability and willingness to work independently and proactively * confident appearance and ability to work cooperatively in an interdisciplinary environment * good interpersonal and communication skills * structured and systematic working style * fluent in English (spoken and written) Our Offer: * international, interdisciplinary working environment on an attractive research campus, ideally situated between the cities of Cologne, D?sseldorf, and Aachen * integration into an interdisciplinary and international institute * a comprehensive further training Programme * flexible working hours and various opportunities to reconcile work and family life * limited for 2 years with possible longer-term prospects * salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TV?D). Depending on the applicant's qualifications and the precise nature of the tasks, salary grade EG 10 TV?D-Bund Forschungszentrum J?lich aims to employ more women in this area and therefore particulary welcomes applications from women. We also welcome applications from disabled persons. We look forward to receiving your application, preferably online via our online recruitment system on our career site until 30.04.2018, quoting the above-mentioned reference number. Contact Human Resource Development and Recruiting Kristin Urbach Tel.:+49 2461 61 9700 -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience J?lich Research Centre and JARA J?lich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose11235 at gmail.com Fri Apr 6 08:22:55 2018 From: jose11235 at gmail.com (Stephen Jose Hanson) Date: Fri, 06 Apr 2018 08:22:55 -0400 Subject: Connectionists: NEW RESEARCH Machine Learning and Mental Illness Message-ID: <1523017375.17555.4.camel@rubic.rutgers.edu> Please find new Machine learning/Neuroimaging research. ?Neuroimage:Clinical Differences in atypical resting-state effective connectivity distinguish autism from schizophrenia Dana Mastrovito, Catherine Hanson, Stephen Jose Hanson Abstract Autism and schizophrenia share overlapping genetic etiology, common changes in brain structure and common cognitive deficits. A number of studies using resting state fMRI have shown that machine learning algorithms can distinguish between healthy controls and individuals diagnosed with either autism spectrum disorder or schizophrenia. However, it has not yet been determined whether machine learning algorithms can be used to distinguish between the two disorders. Using a linear support vector machine, we identify features that are most diagnostic for each disorder and successfully use them to classify an independent cohort of subjects. We find both common and divergent connectivity differences largely in the default mode network as well as in salience, and motor networks. Using divergent connectivity differences, we are able to distinguish autistic subjects from those with schizophrenia. Understanding the common and divergent connectivity changes associated with these disorders may provide a framework for understanding their shared cognitive deficits https://www.sciencedirect.com/science/article/pii/S2213158218300147?via%3Dihub -- Stephen Jos? Hanson Professor & Director Rutgers Brain Imaging Center (RUBIC) Cognitive Science Center (NB) Rutgers University From benjamin.lindner at physik.hu-berlin.de Fri Apr 6 08:39:45 2018 From: benjamin.lindner at physik.hu-berlin.de (Benjamin Lindner) Date: Fri, 6 Apr 2018 14:39:45 +0200 Subject: Connectionists: PhD position at Bernstein Center Berlin available Message-ID: <901de6ea-2a47-1df0-eb32-0961ef739f8a@physik.hu-berlin.de> *Benefits of noise in the transmission and processing of time-dependent stimuli by populations of sensory neurons** * We are looking for a PhD candidate to work on signal processing in recurrent neural networks, especially information filtering of sensory signals and the functional role of intrinsic fluctuations and cell heterogeneity. These aspects of neural information processing will be explored by means of analytical calculations, numerical simulations of network models, and the comparison to experimental data (collaboration with Jan Benda, University Tubingen, Germany). In order to get an idea about similar approaches pursued in the past, have a look at our recent paper in PNAS [Grewe, Kruscha, Lindner, and Benda PNAS 114 E1977 (2017)]. The successful candidate should have a degree in physics, mathematics or computational neuroscience (a background in neurobiology is desirable but not obligatory), programming skills (C++, Python, LaTeX, Linux), an excellent command of the English language, good communication skills and team spirit. Funding is provided for three years, starting within the next six months. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/index_html?set_language=en. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to me benjamin.lindner at physik.hu-berlin.de (cc to nikola.schrenk at bccn-berlin.de) The deadline for applications is April 18th 2018, however, later applications might also be considered. Kind regards, -------------------------------------------------------------------------------------------------------------------- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 6336 Department of Physics Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.408, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html -------------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From ants.conf at gmail.com Fri Apr 6 12:09:28 2018 From: ants.conf at gmail.com (ANTS Conference) Date: Fri, 6 Apr 2018 18:09:28 +0200 Subject: Connectionists: [meetings] ANTS 2018 - Swarm Intelligence - 10 days to paper submission deadline Message-ID: ======================================================================= ANTS 2018 Eleventh International Conference on Swarm Intelligence October 29?31, 2018. Rome, Italy Up-to-date information at http://www.swarm-intelligence.eu/ants2018/ ======================================================================= NEWS: * Only 10 days left to the submission deadline (April 15, 2018) * Scientific committee published, featuring 70 excellent scholars * paper submission open through EasyChair (https://easychair.org/ conferences/?conf=ants2018) * Conference proceedings published by Springer LNCS series * Keynote speakers announced! * Deadline for paper submission in April 15, 2018 * ANTS conference moves to Rome! ======================================================================= Scope of the Conference ======================================================================= Swarm intelligence is the discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed a number of models to explain interesting aspects of collective behaviors such as movement coordination, shape-formation or decision making. Recently, algorithms and methods inspired by these models have been proposed to solve difficult problems in many domains. Among these, it is worth mentioning ant colony optimization (ACO) and particle swarm optimization (PSO), focusing respectively on discrete and continuous optimisation problems. Also, Swarm robotics represents another application of techniques derived from swarm intelligence for the design of collaborative multi-robot systems featuring enhanced efficiency, robustness and scalability. ANTS 2018 will give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications. The three-day conference will be held for the first time in Rome, Italy, on October 29?31, 2018. ======================================================================= Relevant Research Areas ======================================================================= ANTS 2018 solicits contributions dealing with any aspect of swarm intelligence. Typical, but not exclusive, topics of interest are: - Behavioral models of social insects or other animal societies that can stimulate new algorithmic approaches. - Theoretical and empirical and research in swarm intelligence. - Application of swarm intelligence methods (e.g., ant colony optimisation or particle swarm optimisation) to real-world problems. - Theoretical and experimental research in swarm robotics systems. ======================================================================= Important Dates ======================================================================= Submission deadline: April 15, 2018 Notification of acceptance: June 15, 2018 Camera ready copy: June 29, 2018 Conference: October 29?31, 2018 ======================================================================= Keynote Speakers ======================================================================= Seven keynote speakers will enrich the conference program. Three keynotes covering the main domains within the scope of the conference?namely, theoretical models, swarm robotics and optimisation algorithms?plus a special keynote session dedicated to the links between physics and collective behaviour: - David Sumpter - Alcherio Martinoli - Holger Hoos - Vittorio Loreto - Andrea Cavagna - Irene Giardina - Roberto Di Leonardo ======================================================================= Publication Details ======================================================================= Accepted papers will be published in conference proceedings (Springer LNCS series). The journal Swarm Intelligence will publish a special issue dedicated to ANTS 2018 that will contain extended versions of the best research works presented at the conference. Further details will soon be published on the web site. ======================================================================= Conference Location ======================================================================= Aula Marconi, Consiglio Nazionale delle Ricerche, Piazzale Aldo Moro 7, 00185 Rome, Italy ======================================================================= Best Paper Award ======================================================================= A best paper award will be presented at the conference. Continuing the tradition of the ANTS Conference Series, the prize winner will receive a sculpture of an ant expressly created for the ANTS Conference by the Italian sculptor Matteo Pugliese. ======================================================================= ANTS 2018 Organizing Committee ======================================================================= ++ General chair ++ Marco Dorigo - Universit? libre de Bruxelles, Belgium ++ Vice-general chair ++ Mauro Birattari - Universit? libre de Bruxelles, Belgium ++ Local organisation and publicity chair ++ Vito Trianni - Institute of Cognitive Sciences and Technologies (ISTC), Italian National Research Council (CNR), Italy ++ Technical program chairs ++ Christian Blum - Artificial Intelligence Research Institute (IIIA), Spanish National Research Council (CSIC), Spain Anders L. Christensen - Instituto Universit?rio de Lisboa, Portugal ++ Publication chair ++ Andreagiovanni Reina - The University of Sheffield, UK ======================================================================= Further Information ======================================================================= Up-to-date information will be published at the following address: http://www.swarm-intelligence.eu/ants2018/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From kashefy at ni.tu-berlin.de Fri Apr 6 15:16:16 2018 From: kashefy at ni.tu-berlin.de (Youssef Kashef) Date: Fri, 6 Apr 2018 21:16:16 +0200 Subject: Connectionists: PhD Position in Computational Neuroscience & Machine Learning Message-ID: *PhD Position in Computational Neuroscience & Machine Learning* Neural Information Processing Group, Fakult?t IV, Technische Universit?t Berlin and Bernstein Center for Computational Neuroscience, Berlin, Germany Salary grade E13 (TV-L Berliner Hochschulen) Duration: max. 5 years Starting date: October 1st, 2018 Working field: The successful candidate is expected to join collaborative research projects at the interface of computational neuroscience and machine learning. The position is also affiliated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/), and the candidate is welcome to participate in its scientific and training activities. Teaching responsibilities include the supervision of two tutorials per week during the semester associated with the courses taught by the Neural Information Processing Group. For more information about our current research projects see: http://www.ni.tu-berlin.de/. Requirements: Successfully completed university degree (Master, Diplom or equivalent) in Computational Neuroscience, Computer Science or another MINT subject; very good knowledge of machine learning and Computational Neuroscience; experience in teaching (supervision of tutorials) is desirable; good command of the German and English language. How to apply: Please send your written application with the reference number (IV-158/18) and the usual documents to Technische Universit?t Berlin - Der Pr?sident - Fakult?t IV, Institut f?r Softwaretechnik und Theoretische Informatik, FG Neuronale Informationsverarbeitung, Prof. Dr. Obermayer, Sekr. MAR 5-6, Marchstr . 23, 10587 Berlin or - preferably - by e-mail to klaus.obermayer at tu-berlin.de . Closing date: April 20th, 2018 To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Please send copies only. Original documents will not be returned. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ahu at cs.stir.ac.uk Fri Apr 6 18:39:46 2018 From: ahu at cs.stir.ac.uk (Prof Amir Hussain) Date: Fri, 6 Apr 2018 23:39:46 +0100 Subject: Connectionists: Final CFP: 9th International Conference on Brain Inspired Cognitive Systems (BICS 2018) & IEEE Brain Data Bank (BDB) Challenge Competition Message-ID: FINAL CALL FOR PAPERS - BICS 2018 & IEEE Brain Data Bank (BDB) Challenge Competition (see details below) International Conference on Brain Inspired Cognitive Systems (BICS 2018) Xi'an, China, July 7-8, 2018 (http://bics2018.org ) The 9th International Conference on Brain Inspired Cognitive Systems (BICS 2018) will be held in Xi?an, China, as a sequel of BICS 2004 - 2016. It is co-organised by Northwestern Polytechnical University (www.nwpu.edu.cn) and The Guangzhou Key Laboratory of Digital Content Processing and Security Technologies (www.gpnu.edu.cn). Geographically located at the heart of China, Xi?an is the capital and largest city of Shaanxi Province. It once served as the capital city of ancient China for 13 dynasties, with a history of 5,000 years. Xi?an witnessed the most glorious history of China, and now ranks as one of the top 10 tourist destinations in China with a distinctive culture. Xi'an is the starting point of the Silk Road and home to the Terracotta Army of Emperor Qin Shi Huang, the first Emperor in Chinese history. BICS 2018 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of brain inspired cognitive systems research and applications in diverse fields. The conference will feature plenary lectures given by world renowned scholars, regular sessions with broad coverage, and some special sessions and workshops focusing on popular and timely topics. BICS 2018 conference proceedings will be published as part of Springer LNAI Series (indexed by EI). Selected papers will be published in a special issue of the leading (ISI SCI indexed) Springer journal: Cognitive Computation Journal (http://springer.com/12559 - current ISI Impact Factor: 3.44). **************************************** Important Dates **************************************** - Full paper submission: *15 April 2018* - Notification: *15 May 2018* - Camera-ready paper due: *1 June 2018* - BICS?2018 special Issue in Springer?s Cognitive Computation journal (SCI: 3.441 in 2017):* Planned, late Vol. 19, 2019* - * Conference: July 7-8, 2018* ------------------ Topics of interest ------------------ -Biologically Inspired Systems (BICS-BIS) -Cognitive Neuroscience (BICS-CNS) -Models of Consciousness (BICS-MoC) -Neural Computation (BICS-NC) ---------------------- IEEE BDB Competition ---------------------- The IEEE Brain Initiative has sponsored several challenges and competitions during 2017 to analyse a range of brain/neuro datasets. The first IEEE Brain Data Bank (BDB) Challenge was held in June at St. Petersburg, as part of the IEEE SPCN 2017 Symposium (https://spcn.co/). Other challenges were held in Glasgow, Scotland, October 31, 2017, during the IEEE SENSORS Conference (http://ieee-sensors2017.org/), followed by the IEEE BDB Competition in Boston, USA, December 9, 2017 (https://brain.ieee.org/news/call-participation-ieee-brain-data-bank-challenge-boston/). Following the success of BDB Challenges in 2017, there are new activities planned in 2018. Apart from last year?s global events, the BDB will be held for the first time in China in July 2018, in conjunction with the 9th International Brain-Inspired Cognitive Systems (BICS) Conference. You are cordially invited to participate in the Xi?an competition, and to exercise your curiosity and creativity to make sense of your chosen datasets (see details on our website ) *Judging* Entries will be judged in three categories: - Data analysis including well-justified, innovative, and rigorous methodologies - Data visualization including novel, highly informative, and aesthetically appealing visualization techniques - Presentation and interpretation of findings including clear, informative delivery and compelling investigation and interpretation *Awards* There will be 3 awards given: - 1st place ? $600.00 - 2nd place ? $400.00 - 3rd place ? $200.00 They will be judged based on the 3 categories described above: data analysis, data visualization, presentation and interpretation of findings. ---------- Organizers ---------- General Chairs - Yanning Zhang, China - Jiangbin Zheng, China - Amir Hussain, Scotland, UK - Jinchang Ren, Scotland, UK - Narisa Nan Chu, USA Program Chairs - Xiaoya Fan, China - Huimin Zhao, China - Cheng-Lin Liu, China - Bin Luo, China >>>>>>> For more information please visit *bics2018.org * or *https://easychair.org/cfp/BICS-2018 * <<<<<<< -- The University achieved an overall 5 stars in the QS World University Rankings 2016/17 The University of Stirling is a charity registered in Scotland, number SC 011159. -------------- next part -------------- An HTML attachment was scrubbed... URL: From daneshtarapore at gmail.com Fri Apr 6 17:20:57 2018 From: daneshtarapore at gmail.com (Danesh Tarapore) Date: Fri, 6 Apr 2018 22:20:57 +0100 Subject: Connectionists: Research Fellow in Swarm Robotics Message-ID: The University of Southampton currently has an excellent opportunity for a research fellow at its School of Electronics and Computer Science. Ranked in the top one percent of universities globally, the University of Southampton has an international reputation for its research, teaching and enterprise activities. Electronics and Computer Science is the leading department of its kind in the UK, with an established track record for world-leading research in computer science, electronics, and electrical engineering. At the last Research Excellence Framework, Electronics and Computer Science was first in the UK for the volume and quality of research in Electrical and Electronic Engineering. The volume and quality of Computer Science research is in the top 10 in the UK, with 100% of Computer Science research impact rated as world-leading or internationally excellent. Applications are invited for a Research Fellow in robotics at the Agents, Interaction and Complexity Group. You will be working on an interdisciplinary project that is seeking to develop algorithms for resilient robot swarms, capable of rapidly -- in no more than a few minutes -- recovering from faults and damages sustained by individual robots of the swarm. This is to be achieved by developing a novel family of algorithms to (i) creatively discover a large and diverse map of swarm robot behaviors, and (ii) when damaged, efficiently select compensatory behaviors from the map via trial-and-error reset-free learning. Through close collaboration with academic and industry project partners, this research will ultimately lead to the next generation of robot swarms, capable of sustained operation for extended periods of time without human intervention. The developed algorithms will be demonstrated on, (i) wheeled mobile robot, and (ii) aquatic surface drone swarms. The posts will be based in the Agents, Interaction and Complexity (AIC) research group (www.aic.ecs.soton.ac.uk). You will be working with Danesh Tarapore and will be joining an internationally renowned team applying techniques from machine learning, evolutionary computation, swarm robotics, multi-agent systems, and autonomous systems to a range of complex real-world problems. You should possess a PhD* in a relevant discipline (Computer Science, Engineering, Robotics, Artificial Intelligence, Machine Learning or a closely related discipline), or equivalent professional qualification and experience, have established a strong research pedigree in your area (as evidenced by publications in top quality journals and conferences) and excellent coding, statistical and data analysis skills. In particular, expertise in one or more of the following areas will be an advantage: evolutionary computation and/or machine learning. Furthermore, you should have a strong interest in the application of these techniques in swarm robotic systems. The posts will be for two years, starting in August 2018. Informal inquiries may be made to Dr. Danesh Tarapore (d.s.tarapore at soton.ac.uk). **Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of **Senior Research Assistant** will be given.* *Application procedure*: You should submit your completed online application form at www.jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Rosie McPhail (Recruitment Team) on +44 (0) 23 8059 4043. Please quote reference 997118FP on all correspondence. References are requested along with your application. This reference system is automated so please ensure you provide the correct email address and allow time for these to be received, prior to the close date, to assist the department with shortlisting. *Further details: *Please see Job Description and Person Specification -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Sun Apr 8 06:55:27 2018 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Sun, 8 Apr 2018 11:55:27 +0100 Subject: Connectionists: Advanced School on Data Science for Big Data @ Porto (Portugal), 2-5 July 2018 Message-ID: <35626635-4b51-d550-faa0-254471a418cd@isep.ipp.pt> ****** Apologizes for multi-posts ****** ##################################### Advanced School on Data Science for Big Data Porto, 2-5 July 2018 ############################## APPIA, the Portuguese Association for Artificial Intelligence is proud to announce EAIA 2018, a Summer School dedicated to Data Sciences for Big Data. Data Science and Big Data are not only hot topics but also essential to current society. Economy, health, agriculture, energy, media, education, industry, mobility, leisure and all other human activities rely more and more on the advanced processing of large quantities of data. During 4 days, from2-5 July 2018,we will discuss the current trends, advanced topics, and future directions in data science and big data. For more information visit:http://eaia2018.dcc.fc.up.pt/ ##################################### Topics: - Introduction to Data Science for Big Data; - Data Science for the Social Good; - Bias in the Web; - Meta Learning; - Big Data - Distributed Learning; - Data Streams Models; - Learning from Data Streams; - Geographic Data Mining; - Influence in Social Networks; - Multi-dimensional Bayesian network classifiers; - Recommender Systems; - Deep Learning & Reinforcement Learning; - ML: Looking Ahead. ##################################### Venue: Department of Computer Science, Faculty of Sciences, University of Porto Rua do Campo Alegre 1021/1055 4169-007 Porto, Portugal ##################################### Lecturers: - Albert Bifet; - Andre Carvalho; - Dino Pedreschi; - Fosca Giannotti; - Gianmarco De Francisci Morales; - Jose Carlos Principe; - Olivier Pietquin; - Pedro Larranaga; - Rayid Ghani; - Ricard Galvada; - Ricardo Baeza-Yates; ... ##################################### Registration: Registrations include attendance of all sessions, coffee breaks and lunches. We have a limit on the number of registrations (70 attendees), please register early! All participants will receive a letter of confirmation within three working days via e-mail after we receive the payment. Early Fees: - Students 250 eur - Appia* 350 eur - Industry 500 eur * APPIA members and researchers ##################################### Organization: - INESC TEC - LIAAD - Portuguese Association for Artificial Intelligence 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 dwang at cse.ohio-state.edu Sun Apr 8 16:46:47 2018 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Sun, 8 Apr 2018 16:46:47 -0400 Subject: Connectionists: Call for Nominations: Neural Networks Best Paper Award Message-ID: <84b6290d-93e2-0468-38e8-f498234e09a1@cse.ohio-state.edu> It is our pleasure to announce this year's Call for Nominations with the deadline of May 31: https://www.journals.elsevier.com/neural-networks/news/call-for-nominations-neural-networks-best-paper-award Information about the award is given below: https://www.journals.elsevier.com/neural-networks/news/neural-networks-best-paper-award Thanks, Kenji Doya and DeLiang Wang, Co-Editors-in-Chief From sala038 at aucklanduni.ac.nz Sun Apr 8 16:56:19 2018 From: sala038 at aucklanduni.ac.nz (shafiq burki) Date: Mon, 9 Apr 2018 08:56:19 +1200 Subject: Connectionists: Last CFP: PAKDD workshop- Bio-Inspired Data Mining (BDM'18)- Melbourne Australia Message-ID: 7Th PAKDD workshop on Bio-Inspired Data Mining (BDM'18)- June 3rd - 6th, 2018, Melbourne, Australia ********************************** Apologies for Multiple postings.... Paper submission deadline: April 15, 2018 Author notification: April 20, 2018 Camera-ready due: April 30, 2018 Workshop day: June 03, 2018 *********************************************************** ++++++++++++++++++++++++++++++++++++++++++ To submit your paper use the following link: Website:http://conference.fos.auckland.ac.nz/bdm/bdm18/index.html Submission page: http://www.easychair.org/conferences/?conf=bdm18 ++++++++++++++++++++++++++++++++++++++ PAPAKDD 7TH workshop on "Biologically Inspired Techniques for Data Mining (BDM'18)", is to be held in conjunction with 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'18 ), June 3rd - 6th, 2018, Melbourne, Australia. PAKDD is one of the major conferences in knowledge discovery and data mining. The workshop calls for high quality research papers outlining current research, literature surveys, theoretical and empirical studies, and other relevant work including but not limited to the following areas: 1. Particle Swarm Optimization (PSO) PSO based clustering PSO based classification PSO based outlier detection PSO based feature selection 2. Ant Colony Optimization (ACO) ACO based clustering ACO based classification ACO based outlier detection ACO based feature selection ACO based rules mining ACO based sequential patterns mining 3. Artificial Neural Networks (ANN) ANN based pattern matching and discovery Classification rules discovery using ANN Forecasting and prediction analysis using ANN 4. Genetic Algorithms (GAs) Clustering, classification and parameter tuning using GAs GAs based feature extraction and selection Learning Classifier Systems 5. Artificial Immune System(AIS) AIS for intrusion detection AIS for data clustering AIS for decision support system 6. Fuzzy Systems (FS) and biologically inspired techniques Fuzzy clustering Fuzzy classification Fuzzy Association rules discovery 7. Bee Colony Optimization (BCO) BCO for pattern matching Clustering using BCO 8. Evolutionary Neural Nets, Evolutionary SVMs, and Evolutionary Decision Trees 9. Computational Intelligence in Recommender System ++++++++++++++++++++++++++++++++++++++++++ To submit your paper use the following link: https://www.easychair.org/conferences/?conf=bdm18 ++++++++++++++++++++++++++++++++++++++ For more information please contact: Dr. Shafiq Alam, University of Auckland, New Zealand. sala038 at aucklanduni.ac.nz -------------- next part -------------- An HTML attachment was scrubbed... URL: From lucas.bechberger at uni-osnabrueck.de Mon Apr 9 03:35:07 2018 From: lucas.bechberger at uni-osnabrueck.de (Lucas Bechberger) Date: Mon, 9 Apr 2018 09:35:07 +0200 Subject: Connectionists: =?utf-8?q?Second_CfP_Summer_School_and_Workshop_?= =?utf-8?q?=E2=80=9CConcepts_in_Action=3A_Representation=2C_Learning=2C_an?= =?utf-8?b?ZCBBcHBsaWNhdGlvbuKAnSAoQ0FSTEEp?= Message-ID: <97054ab9-515c-4a4f-fc42-03a385f4e06c@uni-osnabrueck.de> The Institute of Cognitive Science atOsnabr?ck University (https://cogsci.uni-osnabrueck.de) is happy to announce the summer school ?Concepts in Action: Representation, Learning, and Application? (CARLA), funded by the /Volkswagen Foundation/, and a subsequentinternational workshop on the same topic. Both the school participants and external researchers are invited to submit abstracts to the workshop for oral or poster presentations. Thesummer school will bring together researchers from different disciplines with the goal of providing participants with knowledge about concept research outside of their own fields and to initiate interdisciplinary exchanges and research. The subsequent and co-located workshop provides an excellent opportunity to present and discuss ongoing research on concepts. Both eventswill focus on (but not be restricted to)three core questions: How can we formally describe and model concepts? Where do concepts come from, and how are they acquired? How are concepts used in cognitive tasks? _*I. CARLA Summer School: *_ * Time and Venue: o August 06 to August 10, 2018, in Osnabr?ck (Germany). * Lecturers and Classes: o *Nicholas Asher *(https://www.irit.fr/~Nicholas.Asher/ )and *Julie Hunter *(http://www.juliejhunter.com/): ?Concepts and Conceptualization: From the Lexicon to Situated Conversation? o *Christiane D. Fellbaum *(https://www.cs.princeton.edu/~fellbaum/ ): ?A Linguistic Perspective on Concepts? o *Peter G?rdenfors *(http://www.fil.lu.se/en/person/PeterGardenfors)*: *?Where Do Conceptual Domains Come From?? o *Robert L. Goldstone *(http://psych.indiana.edu/faculty/rgoldsto.php): ?The Learning and Use of Concepts by Humans? o *Michael Spranger *(https://sites.google.com/view/michaelspranger/): ?Co-acquisition of Concepts and Language: Computational Models and Robot Experiments? * Schedule: o The schedule includes both lectures and interactive discussion sessions. Details can be found on our website: https://www.conceptuccino.uni-osnabrueck.de/carla_summer_school/preliminary_program.html) * Costs: o The school is fully funded and does not charge a registration fee. Meals are included in the funding and will be provided to the participants free of charge. The number of participants is limited to 25. If your institution is not able to cover your travel expenses, we can reimburse accommodation costs as well as travel costs up to 150 ? for participants from Germany, 350 ? for participants from non-German European countries, and 800 ? for participants from elsewhere. * Application: o We invite applications from PhD students and postdocs working on or being interested in concepts from a variety offields, including(but not restricted to) linguistics, philosophy, psychology, artificial intelligence, logic, computer science, and cognitive science. Highly interested advanced master students may be allowed in exceptional cases. We strongly encourage applications from individuals who are under-represented in their respective fields. For more information about the summer school, please visit our website (https://www.conceptuccino.uni-osnabrueck.de/carla_summer_school/overview.html). o If you are interested in participating, please submit your application *until April 30, 2018*under https://easychair.org/conferences/?conf=carlass18. Your application should consist of a single pdf file including asingle-page CV anda short motivation letter of up to 300 words stating your research interests and why you want to attend the summer school. If youneeda visa to enter Germany, pleaseindicate this in yourapplication so that we can prepare invitation letters for you in time. If you need financial support for travel and accommodation expenses, please also indicate this in your application.We will notify you about the selection results by May 7, 2018. Should you have any questions, please contact us anytime atconcepts @uni-osnabrueck.de . _*II. CARLA Workshop:*_ * Time and Venue: o August 11 and August 12, 2018, in Osnabr?ck (Germany). * Invited Speakers: o Nicholas Asher, Christiane D. Fellbaum, Peter G?rdenfors, Robert L. Goldstone, Julie Hunter, Michael Spranger * Call for Papers: o "Concepts in Action: Representation, Learning, and Application" (CARLA) is an international workshop aimed at fostering interdisciplinary exchange about research on concepts. It invites contributions from all fields related to cognitive science, including (but not limited to) linguistics, artificial intelligence, psychology, philosophy, logic, and computer science. Although the workshop is open for research on any aspect of concepts, there exists a set of core topics that are of special interest: # /Representation/: How can we formally describe and model concepts? # /Learning/: Where do concepts come from and how are they acquired # /Application/: How are concepts used in cognitive tasks? We invite the submission of extended abstracts (up to 500 words excluding references) to https://easychair.org/conferences/?conf=carlaws18 *until May 20, 2018*. We will send out acceptance notifications by May 31, 2018. * Publication: o We plan to invite a selection of presentations for publication after the workshop. Best regards, The organizing committee (Lucas Bechberger, Ulf Krumnack, Kai-Uwe K?hnberger, Mingya Liu) -- Lucas Bechberger Artificial Intelligence Research Group Institute of Cognitive Science Osnabr?ck University Wachsbleiche 27, Room 50/310 D-49090 Osnabr?ck Phone: +49-541-969-3400 E-Mail: lucas.bechberger at uni-osnabrueck.de Homepage: https://www.lucas-bechberger.de -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5287 bytes Desc: S/MIME Cryptographic Signature URL: From kashefy at ni.tu-berlin.de Mon Apr 9 04:59:02 2018 From: kashefy at ni.tu-berlin.de (Youssef Kashef) Date: Mon, 9 Apr 2018 10:59:02 +0200 Subject: Connectionists: Postdoctoral Position in Computational Neuroscience Message-ID: *Postdoctoral Position in Computational Neuroscience* Neural Information Processing Group, Fakult?t IV, Technische Universit?t Berlin and Bernstein Center for Computational Neuroscience, Berlin, Germany Salary grade E13 (TV-L Berliner Hochschulen) Duration: max. 5 years Starting date: immediate Working field: The successful candidate is expected to join collaborative research projects at the interface of computational neuroscience and machine learning (decision making and reward based learning or neural dynamics). The position is also affiliated with the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/), and the candidate is welcome to participate in its scientific and training activities. Teaching responsibilities include the supervision of two tutorials per week during the semester associated with the courses taught by the Neural Information Processing Group. For more information about our current research projects see: http://www.ni.tu-berlin.de/. Requirements: Successfully completed university degree (Master, Diplom or equivalent) and doctoral degree in Computational Neuroscience, Computer Science or another MINT subject; very good knowledge of machine learning and Computational Neuroscience; experience in teaching (supervision of tutorials) is desirable; good command of the German and English language. How to apply: Please send your written application with the reference number (IV-178/18) and the usual documents to Technische Universit?t Berlin - Der Pr?sident - Fakult?t IV, Institut f?r Softwaretechnik und Theoretische Informatik, FG Neuronale Informationsverarbeitung, Prof. Dr. Obermayer, Sekr. MAR 5-6, Marchstr . 23, 10587 Berlin or - preferably - by e-mail to klaus.obermayer at tu-berlin.de . Closing date: May 4th, 2018 To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Please send copies only. Original documents will not be returned. -- Youssef Kashef, Doctoral Candidate Neural Information Processing Group Fakultaet IV, Technische Universitaet Berlin MAR 5-6, Marchstr. 23, 10587 Berlin -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Mon Apr 9 09:01:47 2018 From: gangluo at cs.wisc.edu (Gang Luo) Date: Mon, 9 Apr 2018 06:01:47 -0700 Subject: Connectionists: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2018) In-Reply-To: <47fc771e-c6c0-cc54-7ba2-df3fd79a6b27@cs.wisc.edu> References: <47fc771e-c6c0-cc54-7ba2-df3fd79a6b27@cs.wisc.edu> Message-ID: ?????????????????????? -- Call for Papers -- ?? The Fourth International Workshop on Data Management and Analytics ??????????????????? for Medicine and Healthcare (DMAH 2018) ?????????????????? In Conjunction with VLDB 2018 ????????????????????? Rio de Janeiro, Brazil ??? ??? ???????? August 31, 2018 http://dmah.info/ 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 integration for medical data; Data cleansing for noisy and missing data; Medical data and knowledge management and decision support; Data management technologies for medical data; Semantic Web and ontologies for clinical and biomedical applications; Medical natural language processing and text mining; Data mining and knowledge discovery from Electronic Health Records; Algorithms to speed up the analysis of big medical data; Innovative visualization techniques for query and analysis of medical data; Medical image mining; Medical information retrieval; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health; Data analytics for pervasive computing for medical care. DMAH 2018 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: Individual Workshop Papers: May 7, 2018 Notification of Acceptance: June 18, 2018 Camera Ready: June 30, 2018 Workshop date: August 31, 2018 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 ?? George Teodoro, University of Brasilia, Brazil -------------- next part -------------- An HTML attachment was scrubbed... URL: From polo at gatech.edu Mon Apr 9 13:34:51 2018 From: polo at gatech.edu (Chau, Duen Horng) Date: Mon, 9 Apr 2018 17:34:51 +0000 Subject: Connectionists: KDD'18 IDEA - Call for Vis/HCI/ML/DM Papers Message-ID: * * * KDD'18 Interactive Data Exploration and Analytics (IDEA) Workshop - CFP At the crossroads of Vis/HCI & ML/DM/DB *** Full papers, demos, work-in-progress, lessons learned, vision papers *** IDEA -- Interactive Data Exploration and Analytics -- is a full-day workshop organized in conjunction with the ACM SIGKDD Conference on Knowledge, Discovery and Data Mining in London, UK, on 20 August 2018. Since 2013, the annual IDEA workshop has become one of the largest KDD workshops, hosting many renowned keynote speakers and excellent papers, and connecting the VIS/HCI/ML/DM/DB communities. Join us this year in London! Paper submission deadline: Tue, May 8, 2018, 23:59 Hawaii Time http://poloclub.gatech.edu/idea2018/ We had five great IDEAs (pun intended), at KDD'13 ? '17 (in Chicago, NYC, Sydney, San Francisco, and Halifax), with fantastic keynotes by Marti Hearst (UC Berkeley), Haesun Park (Georgia Tech), Ben Shneiderman (UMD), Aditya Parameswaran (UIUC), Geoff Webb (Monash University), Jure Leskovec (Stanford University), Jerome H. Friedman (Stanford), Jeffrey Heer (U Washington, Trifacta), Eamonn Keogh (UC Riverside), Saleema Amershi (Microsoft Research), Samuel Kaski (Aalto University/HIIT), Leman Akoglu (CMU), and Rich Caruana (Microsoft Research). See http://poloclub.gatech.edu/idea2018/ with links to previous editions. * Workshop Goals We aim to address the development of data mining techniques and systems that allow users to interactively explore their data, receiving near-instant updates to every requested refinement. Our focus and emphasis is on interactivity and effective integration of techniques from data mining, visualization and human-computer interaction. In other words, we explore how the best of these different, related domains can be combined such that the sum is greater than the parts. * Topics of Interest include, but are not limited to - Data mining (DM) Online, streaming, or any-time algorithms Methods supporting interactive, iterative, or adaptive refinements Methods enabling instantaneous results User-specific results (preference, relevance, interestingness) Pattern & model sampling Theoretical/complexity analysis of instant data mining - Human-computer interaction (HCI) Smart and adaptive interfaces for scalable techniques Methods, principles and mechanisms for incorporating user feedback User intent models Interfaces for explaining and interpreting analytics models and results Interfaces for interactively exploring and querying very large data - Visualization (VIS) Interactive visualization of patterns and models Visual analytics Visualization for machine learning models Exploration or recommendation of visualization Visual user guidance Principles and techniques for information transfer We invite any type of contribution on these topics: new principles, methods, systems, empirical evaluations, etc. * Submission Information All papers will be peer reviewed, single-blinded. We welcome many kinds of papers, such as (and not limited to): Novel research papers Demo papers Work-in-progress papers Visionary papers (white papers) Appraisal papers of existing methods and tools (e.g., lessons learned) Relevant work that has been previously published Work that will be presented at the main conference of KDD Authors should indicate in their abstracts the kind of submissions that the paper belongs to, to help reviewers better understand their contributions. Submissions must be in PDF, written in English, no more than 10 pages long, and formatted according to the standard double-column ACM Sigconf Proceedings Style. Shorter papers (including extended abstracts) are also welcome. The accepted papers will be posted on the workshop website and will not appear in the KDD proceedings. For accepted papers, at least one author must attend the workshop to present the work. Submit at EasyChair: http://www.easychair.org/conferences/?conf=idea18 * Important Dates Submission Tue, May 8, 2018, 23:59 Hawaii Time Notification Fri, Jun 8, 2018 Camera-ready Fri, Jun 15, 2018 Workshop Mon, August 20, 2018 * Further information and Contact Website: http://poloclub.gatech.edu/idea2018/ E-mail: idea.kdd (at) gmail.com Best regards, Jefrey Lijffijt, Minsuk Kahng, Remco Chang, Polo Chau, Dafna Shahaf, and Christos Faloutsos From chen.yanover at gmail.com Mon Apr 9 11:06:04 2018 From: chen.yanover at gmail.com (Chen Yanover) Date: Mon, 09 Apr 2018 15:06:04 +0000 Subject: Connectionists: 2018 ACIC Causal Inference Data Challenge: three weeks left Message-ID: < Please distribute, apologies for multiple postings > **** Challenge closes in three weeks **** We are happy to announce the third causal inference data challenge, taking place as part of the 2018 Atlantic Causal Inference Conference (ACIC) conference. The challenge focuses on computational methods of inferring causal effects from real-world healthcare-related data and extends the previous challenges in two main respects: + Evaluating performance as a function of the size of the dataset + Using censored outcome (i.e. missing outcome values for some of the samples) For more information see https://www.cmu.edu/acic2018/data-challenge/index.html Submission deadline: Apr 30, 2018. Results will be announced during the conference, May 22-23, in Pittsburgh, PA. The challenge is organized this year by Prof Ashley Naimi (University of Pittsburgh) and supported by the Machine Learning for Healthcare and Life Sciences group at IBM Research - Haifa. -- Chen Yanover Machine Learning for Healthcare and Life Sciences IBM Research - Haif -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.letizia.marchegiani at gmail.com Tue Apr 10 11:43:25 2018 From: m.letizia.marchegiani at gmail.com (Letizia Marchegiani) Date: Tue, 10 Apr 2018 16:43:25 +0100 Subject: Connectionists: CFP - ITSC2018 - Special Session: Beyond Traditional Sensing for Intelligent Transportation Message-ID: Dear colleagues, just a kind reminder that the deadline for the *IEEE ITSC 2018 Special Session *Beyond Traditional Sensing for Intelligent Transportation** to take place in Maui, Hawaii, is in *5 days*. More information can be found here: https://goo.gl/33EBWY We look forward to your contributions. Best wishes, Letizia ------------------------------------------------------------ ----------------------------------------------- CALL FOR PAPERS: *ITSC 2018 - The 21st IEEE International Conference on Intelligent Transportation *Systems. November 4-7, 2018 , Maui, Hawaii, USA. ------------------------------- Special session on *Beyond Traditional Sensing for Intelligent Transportation* Submission code:* SS_BEYO* ------------------------------- Over the past few decades, sensors have not only become more advanced but also made impressive strides across an increasing number of sensing modalities. Despite the improved capabilities and breadth of available sensor systems, those used for intelligent transportation have remained relatively uniform across platforms. As a result, the algorithms and techniques being designed do not take full advantage of the rich information modern sensors can provide. Since all tasks?including perception, localisation, decision-making, and learning?are built on top of sensing, exploring alternative approaches to sensing is a compelling research area that can render all subsequent tasks more robust and accurate. The objective of this session is to explore unconventional sensing for intelligent transportation in three ways. Firstly, it will investigate sensor systems that are not typically applied to certain transportation tasks, such as radar for precise localisation and audio for failure detection. Secondly, it will explore untraditional sensor configurations and placements, such as ground-facing cameras using shadows to detect occluded moving objects. Lastly, it will look into the sensing of commonly overlooked information, such as the use of atmospheric sensors for gauging road surface traction or in-vehicle sensors for driving analysis. Via these three themes, this session aims to stimulate discussion and research into untraditional sensing in order to improve the reliability and accuracy of transportation systems. Topics of interest include, but are not limited to: * Localisation and navigation using radars (e.g., scanning, Doppler, and ground-penetrating) * Ego-noise modelling (e.g. sound-based failure detection, and terrain/road surface status classification) * Soundscape perception and interpretation * Event-based (neuromorphic) vision for localisation and perception in challenging scenarios * Multi-spectral imaging (e.g. IR or polarimetric cameras for localisation and perception under difficult visibility) * In-vehicle sensing for failure detection, driver behaviour, etc. * Far infrared sensing * Texture odometry * Novel sensor hardware and designs * Unconventional sensor placements or multi-sensor systems * Optimal sensor scheduling and control in complex multi-agent environments * Astronomical (skyward-facing) sensing for localisation * Atmospheric or odor-based sensing ------------------------------- *Important Dates* Paper Submission Deadline: April 15, 2018 Notification of Acceptance: July 2, 2018 Final Paper Submission Deadline: September 09, 2018 Conference Dates: November 4-7, 2018 Authors are kindly invited to notify the organisers of their submissions. Papers submitted to this Special Session are reviewed according to the same rules as the submissions to the regular sessions of ITSC2018. Authors who submit papers to this session are required to use the *Special Session CODE (SS_BEYO)* when submitting their article. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures. Please find more info on the ITSC2018 website https://www.ieee-itsc2 018.org/information-for-authors.html . ------------------------------- *Organizers* Letizia Marchegiani, University of Oxford, UK. letizia at robots.ox.ac.uk Sarah Huiyi Cen, University of Oxford, UK. sarah at robots.ox.ac.uk Dimitri Ognibene, University of Essex, UK. dimitri.ognibene at essex.ac.uk Damien Vivet, ISAE-SUPAERO, FR. damien.vivet at isae-supaero.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.plumbley at surrey.ac.uk Wed Apr 11 08:12:33 2018 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Wed, 11 Apr 2018 12:12:33 +0000 Subject: Connectionists: [LVA/ICA 2018] Call for Participation (+ University accommodation deadline approaching) Message-ID: Dear Connectionists, Registration is open for LVA/ICA 2018: more information below (including approaching deadline for University special-rate accommodation). Best wishes, Mark ================================================= == LVA/ICA 2018 - FIRST CALL FOR PARTICIPATION == 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018 University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ** Registration now open. Early registration deadline: 31 May 2018 ** University accommodation deadline approaching: 12 April 2018 ================================================= The International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, is an interdisciplinary forum where researchers and practitioners can experience a broad range of exciting theories and applications involving signal processing, applied statistics, machine learning, linear and multilinear algebra, numerical analysis and optimization, and other areas targeting Latent Variable Analysis problems. == Registration - http://cvssp.org/events/lva-ica-2018/registration/ Conference registration is now open. Early registration deadline: 31 May 2018 == Accommodation - http://cvssp.org/events/lva-ica-2018/accommodation/ We have secured a number of guaranteed rooms for delegates at the University of Surrey Manor Park Campus. You can select the dates of stay during the registration process. ** University accommodation booking deadline approaching - 12 April 2018 If you missed the deadline for booking accommodation but would like to stay on campus, please email our Conference Team (FASSevents at surrey.ac.uk) confirming your name, registration booking reference and the nights stay required. Our team will check availability of additional rooms for you. == Programme Overview - http://cvssp.org/events/lva-ica-2018/program/ LVA/ICA will be held from the 2nd to the 6th of July 2018, including a Summer School day (2 July), and the Main Conference (3-5 July), and is followed by an Audio Day (6 July). The programme will include oral and poster papers in topics including: Audio Data and Methods; Bayesian Approaches; Biomedical Data and Methods; Deep Learning and Data-driven Methods; ICA Theory and Methods; Matrix and Tensor Factorizations; Nonlinear Mixtures; and Sparsity-Related Methods. There will be special sessions on Advances in Phase Retrieval & Applications and on Tensor Decompositions, and the programme will include the results of the Signal Separation Evaluation Campaign (SiSEC 2018). For the list of accepted papers, see: http://cvssp.org/events/lva-ica-2018/papers/ == Keynote Speakers - http://cvssp.org/events/lva-ica-2018/keynotes/ - Tuomas Virtanen Laboratory of Signal Processing Tampere University of Technology, Finland - Orly Alter Scientific Computing & Imaging Institute and Huntsman Cancer Institute, University of Utah, USA - Andrzej Cichocki Brain Science Institute, RIKEN, Japan == Venue - http://cvssp.org/events/lva-ica-2018/venue/ LVA/ICA 2018 will be held at the University of Surrey, Guildford, in the South East of England, UK. The university is a ten minute walk away from the town centre, which offers a vibrant blend of entertainment, culture and history. Guildford is 40 minutes from London by train, and convenient for both London Heathrow and London Gatwick airports. == Conference Chairs == - General Chairs Mark Plumbley - University of Surrey, UK Russell Mason - University of Surrey, UK - Program Chairs Sharon Gannot - Bar-Ilan University, Israel Yannick Deville - Universit? Paul Sabatier Toulouse 3, France == Important Dates == - University accommodation deadline: April 12, 2018 - Early registration deadline: May 31, 2018 - Summer School: July 2, 2018 - Main Conference: July 3-5, 2018 - Audio Day: July 6, 2018 == Website == For further information about the conference and on how to register, please visit: http://cvssp.org/events/lva-ica-2018 We look forward to your participation, The LVA/ICA 2018 Organizing Committee Email: lva.ica.2018 at gmail.com =============================== -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk ================================================================================ LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ================================================================================ From asdm at fi.upm.es Wed Apr 11 09:15:41 2018 From: asdm at fi.upm.es (asdm at fi.upm.es) Date: Wed, 11 Apr 2018 15:15:41 +0200 (CEST) Subject: Connectionists: Thirteenth Madrid UPM Advanced Statistics and Data Mining Summer School (June 25th - July 6th, 2018) - Early registration reminder Message-ID: <1342443276.0.1523452541481.JavaMail.bmihaljevic@morelia> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school is open until June 1st. The summer school will be held in Boadilla del Monte, near Madrid, from June 25th to July 6th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2018. See the last year's ranking at http://bit.ly/2oR00GI Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 25th - June 29th, 2018) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Practical session: Python with keras and Jupyter notebooks. Course 6: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. * Week 2 (July 2nd - July 6th, 2018) * 1st session: 9:45-12:45 Course 7: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. Course 8: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization for regularized learning. Practical session: Python with scikit-learn, Jupyter notebooks. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. From a.stein at fz-juelich.de Wed Apr 11 10:51:21 2018 From: a.stein at fz-juelich.de (Alexandra Stein) Date: Wed, 11 Apr 2018 16:51:21 +0200 Subject: Connectionists: REMINDER: Valentino Braitenberg Award for Computational Neuroscience - Call for Nominations Message-ID: Dear Colleagues, The Bernstein Association for Computational Neuroscience invites nominations for the Valentino Braitenberg Award for Computational Neuroscience. The Bernstein Association for Computational Neuroscience presents the award biennially to a scientist in recognition of outstanding research that contributes to the understanding of the functioning of the brain. The major criterion for the award is the impact or potential impact of the recipient's research on the field of brain science. In the spirit of Valentino Braitenberg's own research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The awardee receives ?5.000 prize money, donated by the Autonome Provinz Bozen S?dtirol, as well as an invitation to the Bernstein Conference 2018 (including registration fee, travel- and accommodation expenses). The award will be presented together with a Golden Neuron pin in a special award ceremony at the Bernstein Conference, followed by a lecture of the Braitenberg Awardee. Nominations may be submitted by scientists working in the field of computational neuroscience and should include the following documents: - One-page laudation, in which the scientific work of the candidate is honored with regard to the award criteria - CV and list of publications Deadline for nominations is April 30, 2018 by email to a.stein at fz-juelich.de Please note that self-nominations are not permitted. The call for nominations can be found under the following URL: www.nncn.de/en/bernstein-conference/2018/braitenberg_award For inquiries please contact a.stein at fz-juelich.de. Best regards, Alexandra Stein -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein at fz-juelich.de web: www.bernstein-network.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Wed Apr 11 13:16:54 2018 From: jkrichma at uci.edu (Jeff Krichmar) Date: Wed, 11 Apr 2018 10:16:54 -0700 Subject: Connectionists: Virtual Think Tank: Shaping AI and Augmented Cognition in the USAF of 2030 Message-ID: <77D4D39B-DDF3-4EC0-B318-FD7F331F38BC@uci.edu> Dear Colleagues, Help us catalyze and shape future major science investments of the DOD and beyond. We have been tasked to prepare a report for the USAF leadership on how AI and Augmented Cognition should factor into USAF investments with a time horizon of a decade plus (2030). Because advances in the various relevant disciplines and technologies are occurring in a non-linear fashion, preparing such a report is extremely challenging. Without question, how the USAF operates across space, air, land and cyber will all be profoundly affected. In addition, the question of strategic surprise must be considered because other nations are investing heavily in these domains currently and where the paradigm breaking advances will occur is not readily predictable. Our goal is to have a draft report ready by June 30 and to that effect, we are convening a number of events (both face-to-face and on-line) and activities to gain input from community members. Useful input will come from across the intellectual waterfront, not just the AI, Cognitive Science and Computer Science communities. We are particularly interested in the ethical, legal and social issues associated with how AI and Augmented Cognition will play out in the US Air Force milieu. The primary objective of the effort is to illuminate the 2030 technology horizon for AI in the USAF context. A secondary objective is to facilitate the building of a community of USAF aligned experts who can provide continuing advice to the USAF as an external advisory board (akin to the Jasons). The final objective is to facilitate the discussions necessary to build a pipeline of technological expertise in AI to avoid or respond to strategic surprise in this area. If you?d like to get involved, please use this link: https://goo.gl/CkntHq to complete a 1-minute application. Once part of the team, you?ll be able to get more information about: 1. The asynchronous online activities, between April 10-27. 2. The three online MicroLabs (interactive online events) on April 30, May 1 and May 2. 3. The face-to-face IdeasLab workshop on May 7 - May 11. 4. The virtual components of the IdeasLab (between May 7 - May 11) for those that can?t join us in person. 5. The?post-workshop review activities of the draft report between May 11 and June 8. More information is at: https://hub.ki/groups/gmuai/overview Sincerely, James Olds - Former head of the Biological Sciences Directorate at NSF and University Professor of Neuroscience and Public Policy at the Schar School, George Mason University Stephen Fiore - Director, Cognitive Sciences Laboratory, and Professor with the University of Central Florida's Cognitive Sciences Program in the Department of Philosophy and Institute for Simulation & Training Jeff Krichmar - Professor in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine Event facilitator: Stavros Michailidis, Knowinnovation, stavros.michailidis at knowinnovation.com Please send an email with any questions or if there are any issues with the above links and please include USAF 2030 AI in the subject line of all event inquiries. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From danko.nikolic at googlemail.com Wed Apr 11 16:37:18 2018 From: danko.nikolic at googlemail.com (Danko Nikolic) Date: Wed, 11 Apr 2018 22:37:18 +0200 Subject: Connectionists: AI based on the brain theory -- practopoiesis Message-ID: Dear all, I am very proud to announce that there is a live interactive demo of a new type of AI that has been developed on the basis of a brain theory known as practopoiesis. One can see the demo here: www.robotsgomental.com The AI is able to learn immediatelly, from a single example. The 'trick' is in the inductive biases implemented into the learning algorithm, as proposed by the theory to also be the 'trick' of the brain. Try the demo for yourself. Teach the AI something and see how well it learns. ...and thank you so much for the interest. Best, Danko -- Danko Nikolic, Prof. Dr. Web: http://www.danko-nikolic.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From yang at maebashi-it.org Thu Apr 12 03:43:08 2018 From: yang at maebashi-it.org (Yang) Date: Thu, 12 Apr 2018 16:43:08 +0900 Subject: Connectionists: [Call for Papers] Brain Informatics 2018 Message-ID: <0397BBD693CA4F2E8145F40C85FEFAD9@yangPC> [Apologies if you receive this more than once] CALL FOR PAPERS The 11th International Conference on Brain Informatics (BI'18) December 7-9, 2018, Arlington, Texas, USA Homepage: http://uta.engineering/conferences/bi-2018/ ---Advancing BI Technologies from Basic Science Research to Real-World Practice--- ============================================== Workshop/Special Session/Tutorial Proposals Submission Deadline: May 1, 2018 Full Paper Submission Deadline: June 15, 2018 ============================================== The International Conference on Brain Informatics series (BI) has established itself as the world?s premier research forum that brings together researchers and practitioners from neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies with the purpose of exploring the fundamental roles, interactions as well as practical impacts of Brain Informatics. The BI'18 will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings, and strategies in brain informatics research and brain-inspired concepts and technologies. It welcomes emerging technologies for addressing fundamental neurobiological questions about healthy brain function, laying the groundwork for advancing treatments for brain disorders or injury, and for generating brain-inspired "smart" artificial intelligence and computing technologies to meet future societal needs. It will educate and expand the brain informatics workforce and create new career opportunities for brain research and related innovations. The BI'18 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be peer-reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI (http://www.springer.com/us/book/9783319707716). Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Machine Intelligence and Brain-Inspired Computing IMPORTANT DATES: ================ May 1, 2018: Submission deadline for workshop/special session/Tutorial proposals May 31, 2018: Notification of workshop/special session proposal acceptance June 15, 2018: Submission deadline for full papers July 30, 2018: Submission deadline for workshop/special session papers August 15, 2018: Notification of full paper acceptance August 30, 2018: Notification of workshop/special session paper acceptance August 1, 2018: Submission deadline for abstracts August 30, 2018: Notification of abstract acceptance December 7, 2018: Tutorials, workshops and special sessions December 8-9, 2018: Main conference PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Full Paper Submissions): Papers need to have up to 10 pages in LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference". The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Post-Conference Journal Publications *** The Brain Informatics conferences have the formal ties with the Open Access Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted full papers will be selected to publish in the Open Access Brain Informatics Journal upon revision. No article-processing fee will be charged for authors of Brain Informatics conference. *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ORGANIZERS ========== General Chairs Tom Mitchell (Carnegie Mellon University, USA) Leon Iasemidis (Louisiana Tech, University, USA) Ning Zhong (Maebashi Institute of Technology, Japan) Program Committee Chairs Jianzhong Su (University of Texas at Arlington, USA) Vicky Yamamoto (University of South California, USA) Yu-Ping Wang (Tulane University, USA) Organizing Chairs Shouyi Wang (University of Texas at Arlington, USA) Erick Jones (University of Texas at Arlington, USA) Fenghua Tian (University of Texas at Arlington, USA) Workshop/Special-Session Chairs Chou, Chun-An (Northwestern University, USA) Xiangnan Kong (Worcester Polytechnic Institute, USA) Felicia Jefferson (Fort Valley State University, USA) Jing Qin (Montana State University, USA) Panel/Tutorial Chairs Yang Yang (Maebashi Institute of Technology, Japan/Beijing Advanced Innovation Center for Future Internet Technology, China) Vassiliy Tsytsarev (University of Maryland, USA) Publicity Chairs Paul Wen (University of Southern Queensland, Australia) Huiguang He (Chinese Academy of Sciences, China) Mufti Mahmud (University of Padova, Italy) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** Shouyi Wang Email: shouyiw at uta.edu Vicky Yamamoto Email: Vicky.Yamamoto at med.usc.edu Yang Yang Email: yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Thu Apr 12 04:56:22 2018 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Thu, 12 Apr 2018 08:56:22 +0000 Subject: Connectionists: NEST Conference 2018 --- Abstract submission and registration open Message-ID: <2D200747-0671-47EF-8AB7-0E53D024857B@nmbu.no> Dear colleagues! It is a great pleasure to invite everyone interested in large-scale neural network simulation, particularly current and potential users of NEST, the Neural Simulation Tool (http://www.nest-simulator.org), to the NEST Conference 2018 to be held on 25/26 June 2018 (Monday/Tuesday, lunch to lunch) on the beautiful campus of the Norwegian University of Life Sciences at ?s, 30km south of Oslo. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We would like you to share your experiences made and results obtained with NEST during the conference. You can do so either by a short oral presentation (10?15 minutes), on a poster, through a demo, or by organizing group work. Important dates ? 30 April 2018 ? Deadline for child-care requests ? 13 May 2018 ? Deadline for abstract submissions ? 17 May 2018 ? Notification of acceptance ? 25 May 2018 ? Deadline for registration For details, abstract submission and registration, please see http://www.nest-initiative.org/conference You are also welcome to contact us at conference at nest-initiative.org. We are looking forward to welcoming you to ?s in June! Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- Dr. Hans Ekkehard Plesser Associate Professor 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 From m.plumbley at surrey.ac.uk Thu Apr 12 06:45:42 2018 From: m.plumbley at surrey.ac.uk (m.plumbley at surrey.ac.uk) Date: Thu, 12 Apr 2018 10:45:42 +0000 Subject: Connectionists: Job: Research Fellow in Machine Listening - University of Surrey, UK - Deadline: 1 May 2018 Message-ID: Dear Connectionists, Please forward to anyone who may be interested. FYI I will be at ICASSP in Calgary next week in case anyone would like more details (including chairing Session AASP-L6, Thursday, April 19, 13:30-15:30 in Macleod B). Best wishes, Mark Plumbley ======================================================================= Research Fellow in Machine Listening University of Surrey, UK Salary: GBP 30,688 to GBP 38,833 per annum Closing Date: 1 May 2018 (23:00 BST) https://jobs.surrey.ac.uk/021518 Applications are invited for a Research Fellow in Machine Listening to work full-time on an EPSRC-funded project "Making Sense of Sounds", to start as soon as possible, for 9.75 months until 13 March 2019. This project is investigating how to make sense from sound data, focussing on how to allow people to search, browse and interact with sounds. The candidate will be responsible for investigating and developing machine learning methods for analysis of everyday sounds, leading to new representations to support search, retrieval and interaction with sound. The successful applicant is expected to have a PhD or equivalent in electronic engineering, computer science or a related subject, and is expected to have significant research experience in audio signal processing and machine learning. Research experience in one or more of the following is desirable: deep learning; blind source separation, blind de-reverberation, sparse and/or non-negative representations, audio feature extraction. The project is being led by Prof Mark Plumbley in the Centre for Vision Speech and Signal Processing (CVSSP) at the University of Surrey, in collaboration with the Digital World Research Centre (DWRC) at Surrey, and the University of Salford. The postholder will be based in CVSSP and work under the direction of Prof Plumbley and Co-Investigators Dr Wenwu Wang and Dr Philip Jackson. For more about the project see: http://cvssp.org/projects/making_sense_of_sounds/ CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 125 researchers, a grant portfolio of ?20M. The Centre has state-of-the-art acoustic capture and analysis facilities enabling research into audio source separation, music transcription and spatial audio. Audio-visual compute includes 700 cores and a 50GPU machine learning cluster with 500TB of online storage. Informal enquires are welcome, to: Prof Mark Plumbley (m.plumbley at surrey.ac.uk), Dr Wenwu Wang (w.wang at surrey.ac.uk), or Dr Philip Jackson (p.jackson at surrey.ac.uk). For more information and to apply online, please visit: https://jobs.surrey.ac.uk/021518 We acknowledge, understand and embrace diversity. ======================================================================= -- Prof Mark D Plumbley Professor of Signal Processing Centre for Vision, Speech and Signal Processing (CVSSP) University of Surrey, Guildford, Surrey, GU2 7XH, UK Email: m.plumbley at surrey.ac.uk ================================================================================ LVA/ICA 2018 14th International Conference on Latent Variable Analysis and Signal Separation July 2-6, 2018, University of Surrey, Guildford, UK http://cvssp.org/events/lva-ica-2018 ================================================================================ From morgado.uma at gmail.com Fri Apr 13 06:20:47 2018 From: morgado.uma at gmail.com (Morgado Dias) Date: Fri, 13 Apr 2018 11:20:47 +0100 Subject: Connectionists: Submission closing postponed 16 Apr - 6 Special Issues - Conference IEEE - ICBEA - 9-12 July 2018 Madeira, Portugal References: <8565f23c88881a07f5071f8374271ffa@uma.pt> Message-ID: <0F4CCC7A-0A26-4D33-9A51-379C416FB227@gmail.com> Dear Colleagues, Can you please help spreading the information about this conference which is in relevant areas for your unit/list. Thank you, Morgado Dias Universidade da Madeira Assistant Professor in Electronics and Telecommunications Automation and Instrumentation PhD Director morgado at uma.pt Tel.: 291-705307 Researcher Polo Cient?fico e Tecnol?gico da Madeira 9020-105 FUNCHAL Tel (351) 291 721 006 www.m-iti.org | admin at m-iti.org July 2018 conferences: EASIFT - WORKSHOP ? ELECTRONICS APPLICATIONS and SYSTEM INTEGRATION for FUTURE TECHNOLOGIES ? EASIFT ES2DE? - IEEE - INTERNATIONAL CONFERENCE ON ENERGY AND SUSTAINABILITY IN SMALL DEVELOPING ECONOMIES ICBEA - IEEE - INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND APPLICATIONS ICMA - INTERNATIONAL CONFERENCE ON MATHEMATICAL AND APPLICATIONS ICAP - INTERNATIONAL CONFERENCE ON APPLIED PSYCHOLOGY AND HUMAN BEHAVIOR > Begin forwarded message: > > From: iknowd > > Subject: Last CFP deadline 9 Apr - 6 Special Issues - Conference IEEE - ICBEA - 9-12 July 2018 Madeira, Portugal > Date: 16 March 2018 at 09:38:43 GMT > To: > > > Please note that we were alerted about some submission problems in the last day, so we postponed the submission closing. Deadline approaching: April 16 2018 > **************************************************************************************************** > > > INVITATION > > It is our great pleasure to invite you to participate in the IEEE - International Conference On Biomedical Engineering And Applications ? ICBEA, to be held in Funchal, Madeira Island, July 9th to 12th, 2018, organised by the Institute of Knowledge and Development, the University of Madeira and the Madeira Interactive Technologies Institute jointly. > > Contributions are welcome in both theoretical developments and practical implementations in all areas involving Biomedical Engineering. Between all contributions presented, two will be selected to receive a best paper award. More information in the call for papers. ICBEA will provide an excellent opportunity for presenting new results and to discuss the latest research and developments in the field. > > Visit homepage > > Deadlines > > Full Paper Submission: April 16, 2018 > > Notifications: May 15, 2018 > > Final Paper Submission: May 25, 2018 > > Conference dates: July 9-12, 2018 > > > Conference Topics: > > Submitted papers will be peer reviewed by a minimum of 2 reviewers holding a PhD with expertise in the submission topics. Papers are invited in all areas of Biomedical Engineering and Applications including (but not limited to) the following areas: > > Agents applied to biomedicine > Bayesian Networks > Bio-inspired algorithms > Bioinformatics > Biomedical and Biological System Modeling > Biomedical Circuits and Systems > Biomedical Communications > Biomedical Engineering Education > Biomedical Sensors and Wearable Systems > Biomedical Signal and Image Processing > Cardiovascular and Respiratory Systems Engineering > Connectionist Models > Deep Learning applied in Bioengineering > Evolutionary algorithms > Expert Systems on Biomedical and Biological Applications > Health service management > Healthcare Information Systems and e-Health > Machine Learning and Artificial Intelligence in Biomedical Engineering > Medical Physics > Neural and Rehabilitation Engineering > Support Vector Machines > Symbolic Representation > Systems to support dyagnosys systems > Therapeutic and Diagnostic Systems and Technologies > > > 2018 Proceedings will be submitted for inclusion in IEEE Xplore/Digital Library. > > Submit ? > This conference is co-located with other conferences (check iknowd.org ) and participants can follow all the conferences. > -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 12951 bytes Desc: not available URL: From fsommer at berkeley.edu Thu Apr 12 20:01:56 2018 From: fsommer at berkeley.edu (Friedrich Sommer) Date: Thu, 12 Apr 2018 20:01:56 -0400 Subject: Connectionists: Berkeley course in mining and modeling neuroscience data (Application deadline April 20) Message-ID: A reminder: the application deadline is in about 8 days (April 20). Information about the course is below. ------------------ We invite applicants to the 2018 summer course in "Mining and modeling neuroscience data" to be held July 9-20 at UC Berkeley. A description of the course is below and also at: http://crcns.org/course Application deadline is April 20. ----- Berkeley summer course in mining and modeling neuroscience data July 9-20, 2018 Redwood Center for Theoretical Neuroscience, UC Berkeley Organizers: Fritz Sommer, Bruno Olshausen & Jeff Teeters (HWNI, UC Berkeley) Scope This course is for students and researchers with backgrounds in mathematics and computational sciences who are interested in applying their skills toward problems in neuroscience. It will introduce the major open questions of neuroscience and teach state-of?the-art techniques for analyzing and modeling neuroscience data sets. The course is designed for students at the graduate level and researchers with background in a quantitative field such as engineering, mathematics, physics or computer science who may or may not have a specific neuroscience background. The goal of this summer course is to help researchers find new exciting research areas and at the same time to strengthen quantitative expertise in the field of neuroscience. The course is sponsored by the National Institute of Health, the National Science Foundation from a grant supporting activities at the data sharing repository CRCNS.org, and the Helen Wills Neuroscience Institute at UC Berkeley. Format The course is ?hands on? in that it will include exercises in how to use and modify existing software tools and apply them to data sets, such as those available in the CRCNS.org repository. Course Instructors Robert Kass, Carnegie Mellon University, Pittsburgh Sonja Gr?n, Juelich Research Center, Germany Frederic Theunissen, University of California Berkeley Odelia Schwartz, University of Miami Stephanie Palmer, University of Chicago Maneesh Sahani, Gatsby Unit, University College London Course Moderators Fritz Sommer and Jeff Teeters, Redwood Center for Theoretical Neuroscience. Speakers To complement the main course instruction there will be lectures in the evenings by local Berkeley and UCSF neuroscientists presenting their research using quantitative approaches. Requirements Applicants should be familiar with linear algebra, probability, differential and integral calculus and have some experience using MatLab and Python. Each student must bring a laptop with both MatLab and Python installed. Cost There is no cost to attend. Non-local attendees will be reimbursed for economy travel expenses (up to a maximum of $500 domestic and $600 foreign) and will have most meals provided. Housing Rooms in the University dorms will be provided for those non-local attendees who need accommodations. Most dorm rooms are double occupancy (shared). Food Almost all meals will be provided to non-local attendees and some meals will be provided to local attendees. How to apply To apply, submit the online form linked from: http://crcns.org/course. A curriculum vitae and a letter of recommendation are required. The course is limited to 25 students. Deadlines Applications must be received by April 20. Notifications of acceptance will be given by May 15. Questions Questions about the course can be sent to course [at] crcns.org. Topics covered (subject to change): Basic approaches: - The problem of neural coding - Population coding - Spike trains, firing rate, point processes, and generalized linear models - Statistical thinking in neuroscience - Overview of stimulus-response function models - Theory of model fitting / regularization / hypothesis testing - Bayesian methods - Spike sorting - Estimation of stimulus-response functionals: regression methods, spike-triggered covariance - Variance analysis of neural response - Estimation of SNR. Coherence Information theoretic approaches: - Information transmission rates - Scene statistics approaches and neural modeling Techniques for analyzing multiple-channel recordings: - Unitary event analysis - Proper surrogates for spike synchrony analysis - Sparse coding/ICA methods, vanilla and methods including statistical models of nonlinear dependencies - Deep learning and supervised learning - Methods for assessing functional connectivity - Generalized Linear Models - Multivariate phase coupling - Statistical issues in network identification - Low-dimensional latent dynamical structure in network activity ? Gaussian process factor analysis and newer approaches - Extracting population responses to experimental inputs - LDA, DPCA and other low-rank regression -------------- next part -------------- An HTML attachment was scrubbed... URL: From dtborek at gmail.com Fri Apr 13 09:50:15 2018 From: dtborek at gmail.com (Daniel Borek) Date: Fri, 13 Apr 2018 15:50:15 +0200 Subject: Connectionists: Brainhack Ghent 7-8th May 2018 Message-ID: ------------------------------------------------------------ --------------------------------------------- ***REGISTRATION IS NOW OPEN // CALL FOR PROJECTS*** DEADLINE: 1st of May ------------------------------------------------------------ --------------------------------------------- Brainhack Ghent 2018 May 7-8, 2018 University of Ghent, Ghent, Belgium https://brainhackghent.github.io/ [APOLOGIES FOR DOUBLE POSTING] Dear all, On 7-8th May 2018, the second edition of Brainhack Ghent will take place at the university of Ghent (FPPW, Henri Dunantlaan 2, 9000 Ghent), as part of the Brainhack Global event (May 2-6). During this two-day event, dedicated to students and PhD students, we will work in teams on neuroscience-related projects. The aim of the event is to collaborate on projects, meet new researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community (Craddock et al., 2016) . You can now register for Brainhack Ghent 2018 by going to https://brainhackghent.github.io/. At this website, you can also submit a project which will be realised during the two-day event. Projects can be side projects, projects you were always interested in, but never had time to work on, new ideas you want to explore? In order to submit your project, proceed to the ?project submission? section, where you can specify the project author, a project title, and a short project outline specifying some scientific context and concrete goals. Of course, you?re always welcome to provide that extra bit of information to help your fellow Brainhackers in their project selection process! For example, you can provide 1-3 key papers related to the project, some requirements (e.g. certain programming skills) for taking part in the project, skills and competences that can be learned in the project... If you have questions about the feasibility/added value/? of a project you want to submit, do not hesitate to contact us (brainhackghent2018 at gmail.com). We will provide you with feedback as soon as possible! If you prefer to prepare a tutorial in addition to/ instead of submitting a project, you are certainly welcome to contact us as well! We hope to hear from you soon, and please feel free to forward this message to other colleagues whom might be interested!! Best, The Organization Committee of BrainHack Ghent 2018 -- Daniel Borek PhD candidate Department of Data Analysis Ghent University Begijnhoflaan 464, B-9000 Gent, Belgium E-mail: daniel.borek at ugent.be -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpulina at uniss.it Fri Apr 13 07:59:46 2018 From: lpulina at uniss.it (Luca Pulina) Date: Fri, 13 Apr 2018 13:59:46 +0200 Subject: Connectionists: QBFEVAL'18 - Deadline extension Message-ID: <7c8f42b4-2321-2078-1c7e-cb3e2e1929b9@uniss.it> [apologies for any cross-posting] ****************************************************************************************** QBFEVAL'18 - Competitive Evaluation of QBF Solvers A joint event with the 21st Int. Conference on Theory and Applications of Satisfiability Testing (SAT) (affiliated with FLoC 2018) Oxford, UK, July 9 - July 12 2018 ****************************************************************************************** QBFEVAL'18 is the 2018 competitive evaluation of QBF solvers, and the thirteenth evaluation of QBF solvers and instances ever. QBFEVAL'18 awards solvers that stand out as being particularly effective on specific categories of QBF instances. We warmly encourage developers of QBF solvers to submit their work, even at early stages of development, as long as it fulfills some very simple requirements. We also welcome the submission of QBF formulas to be used for the evaluation. Researchers thinking about using QBF-based techniques in their area (e.g., formal verification, planning, knowledge representation & reasoning) are invited to contribute to the evaluation by submitting QBF instances of their research problems (see the requirements for instances). The results of the evaluation will be a good indicator of the current feasibility of QBF-based approaches and a stimulus for people working on QBF solvers to further enhance their tools. Details about solvers and benchmarks submission, tracks, and related rules, are available at http://www.qbflib.org/qbfeval18.php For questions, comments and any other issue regarding QBFEVAL'18, please get in touch with the organizers via qbf18 at qbflib.org. ** Important Dates ** -??? Registration close: April 22 (incl. solver description) - EXTENDED -??? Solvers and Benchmarks due: April 25 (for all tracks except Hard-Instances Track) - EXTENDED -??? First stage results: May 3 -??? Second stage solvers due: May 15 (for all tracks except Hard-Instances Track) -??? Hard instances solver due: June 1 (no registration is necessary) -??? Competition Benchmarks available for download: June 14 -??? Final results: presented at SAT'18 ** Organizing committee ** * Organization * Luca Pulina, University of Sassari Martina Seidl, Johannes Kepler Universitat Linz * Judges * Olaf Beyersdorff, University of Leeds Christoph Wintersteiger, Microsoft Research Limited -- Luca Pulina, Ph.D. Associate Professor of Computer Science University of Sassari Tel. +39 079 228987 From joue at humtec.rwth-aachen.de Thu Apr 12 09:09:36 2018 From: joue at humtec.rwth-aachen.de (gj) Date: Thu, 12 Apr 2018 15:09:36 +0200 Subject: Connectionists: call for participation: 15-min online study on social cognition and behavior In-Reply-To: <81b11667-61eb-e3a3-e039-11204dc59a94@humtec.rwth-aachen.de> References: <81b11667-61eb-e3a3-e039-11204dc59a94@humtec.rwth-aachen.de> Message-ID: <7b507af3-f86e-13ca-e047-2da7a212e215@humtec.rwth-aachen.de> Hello! My name is Vito Evola, and I'm a researcher in the "BlackBox: Arts and Cognition" research project at the Universidade Nova de Lisboa (http://blackbox.fcsh.unl.pt). I would like to invite you to participate in a brief online study on social cognition and behavior. The survey, which is in English, takes 15 minutes and can be completed on your PC or mobile device by clicking this link: http://blackbox.fcsh.unl.pt/questionnaire.html Your participation in the survey is completely voluntary and anonymous. Please keep in mind that by participating and being part of this study, you are helping the scientific community in having better knowledge of human cognition and social interactions. Do not hesitate to contact us for any questions or comments, and thank you very much for your time and cooperation! Vito Evola http://blackbox.fcsh.unl.pt/vito-evola.html Joanna Skubisz http://blackbox.fcsh.unl.pt/joanna-skubisz.html ______________________________________________________________________ Dr. Vito Evola Multimodal Communications/Linguistics BlackBox Research Project Universidade Nova de Lisboa - FCSH Avenida de Berna, 26 (ID-2.14) | 1069-061 Lisbon, Portugal Telephone: +351 21 793 89 26, ext. 1413 Email: vito.evola at fcsh.unl.pt | Web: http://blackbox.fcsh.unl.pt/Vito-Evola From morgado.uma at gmail.com Fri Apr 13 06:20:47 2018 From: morgado.uma at gmail.com (Morgado Dias) Date: Fri, 13 Apr 2018 11:20:47 +0100 Subject: Connectionists: Submission closing postponed 16 Apr - 6 Special Issues - Conference IEEE - ICBEA - 9-12 July 2018 Madeira, Portugal References: <8565f23c88881a07f5071f8374271ffa@uma.pt> Message-ID: <0F4CCC7A-0A26-4D33-9A51-379C416FB227@gmail.com> Dear Colleagues, Can you please help spreading the information about this conference which is in relevant areas for your unit/list. Thank you, Morgado Dias Universidade da Madeira Assistant Professor in Electronics and Telecommunications Automation and Instrumentation PhD Director morgado at uma.pt Tel.: 291-705307 Researcher Polo Cient?fico e Tecnol?gico da Madeira 9020-105 FUNCHAL Tel (351) 291 721 006 www.m-iti.org | admin at m-iti.org July 2018 conferences: EASIFT - WORKSHOP ? ELECTRONICS APPLICATIONS and SYSTEM INTEGRATION for FUTURE TECHNOLOGIES ? EASIFT ES2DE? - IEEE - INTERNATIONAL CONFERENCE ON ENERGY AND SUSTAINABILITY IN SMALL DEVELOPING ECONOMIES ICBEA - IEEE - INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND APPLICATIONS ICMA - INTERNATIONAL CONFERENCE ON MATHEMATICAL AND APPLICATIONS ICAP - INTERNATIONAL CONFERENCE ON APPLIED PSYCHOLOGY AND HUMAN BEHAVIOR > Begin forwarded message: > > From: iknowd > > Subject: Last CFP deadline 9 Apr - 6 Special Issues - Conference IEEE - ICBEA - 9-12 July 2018 Madeira, Portugal > Date: 16 March 2018 at 09:38:43 GMT > To: > > > Please note that we were alerted about some submission problems in the last day, so we postponed the submission closing. Deadline approaching: April 16 2018 > **************************************************************************************************** > > > INVITATION > > It is our great pleasure to invite you to participate in the IEEE - International Conference On Biomedical Engineering And Applications ? ICBEA, to be held in Funchal, Madeira Island, July 9th to 12th, 2018, organised by the Institute of Knowledge and Development, the University of Madeira and the Madeira Interactive Technologies Institute jointly. > > Contributions are welcome in both theoretical developments and practical implementations in all areas involving Biomedical Engineering. Between all contributions presented, two will be selected to receive a best paper award. More information in the call for papers. ICBEA will provide an excellent opportunity for presenting new results and to discuss the latest research and developments in the field. > > Visit homepage > > Deadlines > > Full Paper Submission: April 16, 2018 > > Notifications: May 15, 2018 > > Final Paper Submission: May 25, 2018 > > Conference dates: July 9-12, 2018 > > > Conference Topics: > > Submitted papers will be peer reviewed by a minimum of 2 reviewers holding a PhD with expertise in the submission topics. Papers are invited in all areas of Biomedical Engineering and Applications including (but not limited to) the following areas: > > Agents applied to biomedicine > Bayesian Networks > Bio-inspired algorithms > Bioinformatics > Biomedical and Biological System Modeling > Biomedical Circuits and Systems > Biomedical Communications > Biomedical Engineering Education > Biomedical Sensors and Wearable Systems > Biomedical Signal and Image Processing > Cardiovascular and Respiratory Systems Engineering > Connectionist Models > Deep Learning applied in Bioengineering > Evolutionary algorithms > Expert Systems on Biomedical and Biological Applications > Health service management > Healthcare Information Systems and e-Health > Machine Learning and Artificial Intelligence in Biomedical Engineering > Medical Physics > Neural and Rehabilitation Engineering > Support Vector Machines > Symbolic Representation > Systems to support dyagnosys systems > Therapeutic and Diagnostic Systems and Technologies > > > 2018 Proceedings will be submitted for inclusion in IEEE Xplore/Digital Library. > > Submit ? > This conference is co-located with other conferences (check iknowd.org ) and participants can follow all the conferences. > -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 12951 bytes Desc: not available URL: From Pavis at iit.it Fri Apr 13 11:49:41 2018 From: Pavis at iit.it (Pavis) Date: Fri, 13 Apr 2018 15:49:41 +0000 Subject: Connectionists: Postdoc position on dynamic 3D scene understanding - [ Postdoc ] BC74461 Message-ID: Postdoc position on dynamic 3D scene understanding - [ Postdoc ] Workplace: Genova, Italy The Visual Geometry and Modelling (VGM) Research Line at IIT invites qualified applicants to submit their CV?s for a Postdoc position in Genoa under the supervision of Dr. Alessio Del Bue. The VGM mission is to provide computational tools for the large-scale understanding of data from the nano up to the macro scale level. With a privileged focus on image and video data, the main lab goal is to research and apply methods to boost the advances of life scientists and engineers in untangling and modelling the (big) data as provided by modern sensors (e.g. high-resolution cameras, time-lapse microscopy, 3D scanners). The scientific core of the Line is related to the research fields of Computer Vision, Signal Processing, and Machine Learning with the primary goal to provide algorithms for: ?Reality Capture: 3D reconstruction from images, sound and range data; ?Dynamic 3D scene understanding from video and RGBD data; ?Large-scale data clustering and modelling for Life Science and Engineering. Expertise in these research fields is applied to several practical and challenging problems in the industry with ongoing collaboration with world-leading companies in machine vision, automation, energy, avionics, photonics and fashion industries. We are opening a postdoc position to work on 3D scene understanding with topics related to recent lab achievements in structure from motion (Magerand & Del Bue, ICCV2017 oral), object scene 3D reconstruction (Crocco et al., CVPR 2016), and semantic object 3D localization (Rubino et al., PAMI 2017). As this previous work mainly deals with static scenes, the VGM lab will push forward these activities developing computational methods for geometric and semantic understanding in dynamic and non-rigid environments. The key aspect of the research carried at VGM will focus on the fusion of state of the art deep architectures with 3D reasoning from multi-view images or RGBD data. Proven scientific track record on major computer vision conferences/journals (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is also a relevant criterion for the selection. The candidate will be also involved in Ph.D. students supervision and will collaborate in grant proposal writing. Strong programming skills are a requirement and experience on deep learning is considered a plus. At the time of the application, eligible candidates should have a Ph.D. degree in Computer Vision, Engineering, Robotics or related fields. The successful candidate will be offered a competitive salary commensurate with qualifications and experience. Please send the application, including a CV with publication list, a brief description of research interests and main accomplishments and names of two referees to pavis at iit.it quoting ?Postdoc VGM position BC 74461? in the email subject. The call will remain open until the position is filled but the first deadline for evaluation of candidates will be May 31st, 2018. Istituto Italiano di Tecnologia (IIT) was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide, recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies. In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using a computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. -------------- next part -------------- An HTML attachment was scrubbed... URL: From erdi.peter at wigner.mta.hu Sat Apr 14 21:33:59 2018 From: erdi.peter at wigner.mta.hu (=?ISO-8859-2?Q?=C9rdi_P=E9ter?=) Date: Sun, 15 Apr 2018 03:33:59 +0200 (CEST) Subject: Connectionists: Michael Arbib autobiography: From Cybernetics to Brain Theory, and More: A Memoir Message-ID: Dear All: I would like to call your attention to a very very remarkable paper. Michael Arbib, "the" true pioneer of brain theory wrote a very detailed memoir. The paper is a self-reflection to his career from his legendary first book "Brains, Machines & Mathematics" via the Metaphorical Brain to modeling how the brain may support language and much more. Cognitive Systems Research is very lucky to have the chance to publish this extraordinary paper. Elsevier will make it available for a certain period. Enjoy and spread the word! Kind regards, P?ter ?rdi Editor-in-Chief Cognitive Systems Research aboutranking.com ---------- Forwarded message ---------- Date: Sat, 14 Apr 2018 15:54:57 -0400 From: ScienceDirect Message Center To: perdi at kzoo.edu Subject: Cognitive Systems Research: Alert 14 April Can't see this email properly? Click here to view an online version ScienceDirect? Home Alert: Cognitive Systems Research New articles available on ScienceDirect New Articles in Press, ?14 April >From Cybernetics to Brain Theory, and More: A Memoir ?? Original Research Article Available online 14 April 2018 Michael A. Arbib Access the ScienceDirect Info site if you have questions about this message or other features of this service. This email has been sent to you by ScienceDirect, a division of Elsevier B.V., Radarweg 29, 1043 NX Amsterdam, The Netherlands, Tel.+31 20 485 3911. ScienceDirect respects your privacy and does not disclose, rent or sell your personal information to any non-affiliated third parties without your consent, except as may be stated in the ScienceDirect online privacy policy. By using email or alert services, you agree to comply with the ScienceDirect Terms and Conditions. To unsubscribe from this alert, please click here. Copyright ? 2018 Elsevier B.V. or its licensors or contributors. ScienceDirect ? is a registered trademark of Elsevier B.V. Subscription ID: 6801b0bb-4cf7-423b-b0b3-84debb758052 Webuser ID: 16559371 Results Event ID: 2ff67920-52f0-4f9d-a20d-8808c263e6cc Batch ID: 4a43c5ee-129a-451c-b821-77ff2a6dd1e2 RTEventId: 72057594312846382 [?id=h5be7865,51c2d93,1] -- You received this message because you are subscribed to the Google Groups "Budapest CNS Group" group. To unsubscribe from this group and stop receiving emails from it, send an email to cneuro-bp+unsubscribe at googlegroups.com. To post to this group, send email to cneuro-bp at googlegroups.com. Visit this group at https://groups.google.com/group/cneuro-bp. For more options, visit https://groups.google.com/d/optout. From mpavone at dmi.unict.it Sat Apr 14 08:48:16 2018 From: mpavone at dmi.unict.it (Mario Pavone) Date: Sat, 14 Apr 2018 14:48:16 +0200 Subject: Connectionists: MESS 2018 - last two days to the application deadline!! Message-ID: <34799_1523710105_w3ECmMQj037527_20180414144816.Horde.7PLyJeph4B9a0fiQc6ihoyA@mbox.dmi.unict.it> Call for Participation (apologies for multiple copies) ## please forward it to those who may be interested ## -- TWO DAYS TO THE APPLICATION DEADLINE -- ----------------------------------------------------------------------- MESS 2018 - Metaheuristics Summer School - from Design to Implementation - 21-25 July 2018, Taormina, Italy https://www.ANTs-lab.it/mess2018/ mess.school at ANTs-lab.it ----------------------------------------------------------------------- ** APPLICATION DEADLINE: 15th April 2018 ** MESS 2018 is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide an overview on the several metaheuristics techniques, and an in-depth analysis of the state-of-the-art. As first edition, MESS 2018 wants to analyze all metaheuristics from its designing to its implementation. In particular, in MESS 2018 will be analyzed modern heuristic methods for search and optimization problems, as well as the classical exact optimization methods, seen also in the metaheuristics context. All participants will have plenty of opportunities for debate and work with leaders in the field, benefiting from direct interaction and discussions in a stimulating environment. They will also have the possibility to present their recently results and/or their working in progress through oral or poster presentations, and interact with their scientific peers, in a friendly and constructive environment. ** Confirmed Speakers + Christian Blum, IIIA-CSIC, Barcelona, Spain - Lecture 1: Construct, Merge, Solve & Adapt: A Recent Hybrid Metaheuristic - Lecture 2: Swarm Intelligence in Combinatorial Optimization + Juergen Branke, Warwick Business School, UK - Lecture 1: Simulation-based optimisation - Lecture 2: Multi-objective optimisation + Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK - Lecture 1: Basic Concepts of Multiple Criteria Decision Aiding/Making - Lecture 2: Using Preference Elicitation in Evolutionary Multiobjective Optimization + Yaochu Jin, University of Surrey, UK - Lecture 1: Data-driven surrogate-assisted evolutionary multi-objective optimization - Lecture 2: Multi-objective machine learning + Gunther Raidl, Technische Universitat Wien, Austria - Lecture 1: Pushing the Limits with Hybrid Metaheuristics - Lecture 2: Large Neighborhood Search Techniques + Helena Ramalhinho Lourenco, Universitat Pompeu Fabra, Spain - Lecture 1: Extensions of Iterated Local Search - Lecture 2: Issues and examples of applying metaheuristics in business + Mauricio Resende, AMAZON, USA - Lecture 1: Biased Random-Key Genetic Algorithms ? part I - Lecture 2: Biased Random-Key Genetic Algorithms ? part II + Celso Ribeiro, Universidade Federal Fluminense, Brazil - Lecture 1: Optimization by GRASP ? Part I - Lecture 2: Optimization by GRASP ? Part II + Andrea Schaerf, University of Udine, Italy - Lecture 1: Simulated Annealing and Friends: Introduction to Randomized Local Search Methods - Lecture 2: Simulated Annealing, we need to talk: Critical Analysis of Real-World Applications of Randomized Local Search Methods to Scheduling and Timetabling Problems + Fabio Schoen, Unviersity of Florence, Italy - Lecture 1: Large scale global optimization methods: basics - Lecture 2: Large scale global optimization methods: examples of applications + El-Ghazali Talbi, University of Lille 1, France - Lecture 1: TBA - Lecture 2: TBA + Daniele Vigo, University of Bologna, Italy - Lecture 1: Heuristic approaches for Vehicle Routing Problems - part I - Lecture 2: Heuristic approaches for Vehicle Routing Problems - part II ** Tutorial + Luca Di Gaspero, University of Udine, Italy Title: TBA + Paola Festa, University of Naples ?Federico II?, Italy Title: ?Successful applications of GRASP and its hybrids for hard combinatorial problems? ** Short Talk and Poster Presentation All participants may submit an abstract of their recent results, or works in progress, for presentation and having the opportunities for debate and interact with leaders in the field. Mini-Workshop Organizers and Scientific Committee will review the abstracts and will recommend for the format of the presentation (oral or poster). All abstracts will be published on the electronic hands-out book of the summer school. The Abstracts must be submitted by *April 15, 2018*. ** Sponsor & Scholarships: Thanks to the sponsorship by EU/ME METAHEURISTICS working group (https://www.euro-online.org/websites/eume/), some scholarships for the best participants will be available. More sponsors and scholarships will be announced soon!! ** Certificate: Participants will be delivered a certificate of attendance indicating the number of hours of lectures. The school will involve a total of 36-40 hours of lectures, which allows to all PhD, and master students to may get *8-ECTS* points. ** School Directors + Salvatore Greco, University of Catania, Italy + Panos Pardalos, University of Florida, USA + Mario Pavone, University of Catania, Italy + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy ** Oral & Poster Presentation Organizers + Luca Di Gaspero, Unviersity of Udine, Italy + Paola Festa, University of Naples "Federico II", Italy ** Metaheuristics Competition Chair + Raffaele Cerulli, University of Salerno, Italy ** More Information: https://www.ANTs-lab.it/mess2018/ -- mess.school at ANTs-lab.it Facebook Group: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school -- Dr. Mario Pavone (PhD) Assistant Professor Department of Mathematics and Computer Science University of Catania V.le A. Doria 6 - 95125 Catania, Italy tel: 0039 095 7383034 fax: 0039 095 330094 Email: mpavone at dmi.unict.it http://www.dmi.unict.it/mpavone/ =========================================================== MESS 2018 - Metaheuristics Summer School 21-25 July 2018, Taormina, Italy W: https://www.ANTs-lab.it/mess2018/ E: mess.school at ANTs-lab.it FB: https://www.facebook.com/groups/MetaheuristicsSchool/ Twitter: https://twitter.com/MESS_school =========================================================== From jkrichma at uci.edu Sun Apr 15 17:37:40 2018 From: jkrichma at uci.edu (Jeff Krichmar) Date: Sun, 15 Apr 2018 14:37:40 -0700 Subject: Connectionists: Virtual Think Tank: Shaping AI and Augmented Cognition in the USAF of 2030 References: <77D4D39B-DDF3-4EC0-B318-FD7F331F38BC@uci.edu> Message-ID: Dear Colleagues, Help us catalyze and shape future major science investments of the DOD and beyond. We have been tasked to prepare a report for the USAF leadership on how AI and Augmented Cognition should factor into USAF investments with a time horizon of a decade plus (2030). Because advances in the various relevant disciplines and technologies are occurring in a non-linear fashion, preparing such a report is extremely challenging. Without question, how the USAF operates across space, air, land and cyber will all be profoundly affected. In addition, the question of strategic surprise must be considered because other nations are investing heavily in these domains currently and where the paradigm breaking advances will occur is not readily predictable. Our goal is to have a draft report ready by June 30 and to that effect, we are convening a number of events (both face-to-face and on-line) and activities to gain input from community members. Useful input will come from across the intellectual waterfront, not just the AI, Cognitive Science and Computer Science communities. We are particularly interested in the ethical, legal and social issues associated with how AI and Augmented Cognition will play out in the US Air Force milieu. The primary objective of the effort is to illuminate the 2030 technology horizon for AI in the USAF context. A secondary objective is to facilitate the building of a community of USAF aligned experts who can provide continuing advice to the USAF as an external advisory board (akin to the Jasons). The final objective is to facilitate the discussions necessary to build a pipeline of technological expertise in AI to avoid or respond to strategic surprise in this area. If you?d like to get involved, please use this link: https://goo.gl/CkntHq to complete a 1-minute application. Once part of the team, you?ll be able to get more information about: 1. The asynchronous online activities, between April 10-27. 2. The three online MicroLabs (interactive online events) on April 30, May 1 and May 2. 3. The face-to-face IdeasLab workshop on May 7 - May 11. 4. The virtual components of the IdeasLab (between May 7 - May 11) for those that can?t join us in person. 5. The?post-workshop review activities of the draft report between May 11 and June 8. More information is at: https://hub.ki/groups/gmuai/overview Sincerely, James Olds - Former head of the Biological Sciences Directorate at NSF and University Professor of Neuroscience and Public Policy at the Schar School, George Mason University Stephen Fiore - Director, Cognitive Sciences Laboratory, and Professor with the University of Central Florida's Cognitive Sciences Program in the Department of Philosophy and Institute for Simulation & Training Jeff Krichmar - Professor in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine Event facilitator: Stavros Michailidis, Knowinnovation, stavros.michailidis at knowinnovation.com Please send an email with any questions or if there are any issues with the above links and please include USAF 2030 AI in the subject line of all event inquiries. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Sun Apr 15 09:42:36 2018 From: jose at rubic.rutgers.edu (Stephen Jose Hanson) Date: Sun, 15 Apr 2018 09:42:36 -0400 Subject: Connectionists: New Paper Attentional Bias, Cateogorization and Deep Learning Message-ID: <5835fa8e-fee5-f5a3-825c-82c6182dbbb0@rubic.rutgers.edu> New paper http://journal.frontiersin.org/article/10.3389/fpsyg.2018.00374/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Psychology&id=284733 Attentional Bias in Human Category Learning: The Case of Deep Learning Catherine Hanson, Leyla Roskan Caglar and Stephen Jos? Hanson RUBIC, Psychology, Rutgers University Category learning performance is influenced by both the nature of the category's structure and the way category features are processed during learning. Shepard (1964, 1987) showed that stimuli can have structures with features that are statistically uncorrelated (separable) or statistically correlated (integral) within categories. Humans find it much easier to learn categories having separable features, especially when attention to only a subset of relevant features is required, and harder to learn categories having integral features, which require consideration of all of the available features and integration of all the relevant category features satisfying the category rule (Garner, 1974). In contrast to humans, a single hidden layer backpropagation (BP) neural network has been shown to learn both separable and integral categories equally easily, independent of the category rule (Kruschke, 1993). This ?failure? to replicate human category performance appeared to be strong evidence that connectionist networks were incapable of modeling human attentional bias. We tested the presumed limitations of attentional bias in networks in two ways: (1) by having networks learn categories with exemplars that have high feature complexity in contrast to the low dimensional stimuli previously used, and (2) by investigating whether a Deep Learning (DL) network, which has demonstrated humanlike performance in many different kinds of tasks (language translation, autonomous driving, etc.), would display human-like attentional bias during category learning. We were able to show a number of interesting results. First, we replicated the failure of BP to differentially process integral and separable category structures when low dimensional stimuli are used (Garner, 1974; Kruschke, 1993). Second, we show that using the same low dimensional stimuli, Deep Learning (DL), unlike BP but similar to humans, learns separable category structures more quickly than integral category structures. Third, we show that even BP can exhibit human like learning differences between integral and separable category structures when high dimensional stimuli (face exemplars) are used. We conclude, after visualizing the hidden unit representations, that DL appears to extend initial learning due to feature development thereby reducing destructive feature competition by incrementally refining feature detectors throughout later layers until a tipping point (in terms of error) is reached resulting in rapid asymptotic learning -------------- next part -------------- An HTML attachment was scrubbed... URL: From kerstin.ritter at bccn-berlin.de Mon Apr 16 04:36:15 2018 From: kerstin.ritter at bccn-berlin.de (Kerstin Ritter) Date: Mon, 16 Apr 2018 10:36:15 +0200 (CEST) Subject: Connectionists: =?utf-8?q?PhD_position_in_clinical_connectomics_a?= =?utf-8?q?t_Charit=C3=A9_-_Berlin?= In-Reply-To: <93544B54-7F90-4A61-96C3-8C2DC40599D7@charite.de> Message-ID: <1494341034.605192.1523867775575.JavaMail.root@comms> Dear all, Vacancy: The Division of ?Mind and Brain Research? (Prof. Dr. Dr. Henrik Walter), Department of Psychiatry and Psychotherapy, Charit? ? Universit?tsmedizin Berlin is seeking as soon as possible for a research associate (doctoral student) for a three-year research project within the framework of the DFG Priority Program "Computational Connectomics" on "Clinical Connectomics: A Network Approach for deep brain stimulation ". We are looking for outstanding candidates with a master's degree in psychology, neuroinformatics, cognitive science or related disciplines who have very good programming skills (ideally MATLAB, Python, C ++), prior experience in functional magnetic resonance imaging (fMRI) research, and ideally knowledge about network theory / graph theory in the sense of a functional network organization of the brain. We offer the opportunity for doctoral studies in an interdisciplinary research team. Company description: Charit? - Universit?tsmedizin Berlin is a joint institution of the Freie Universit?t Berlin and the Humboldt-Universit?t Berlin. As one of Europe's largest university hospitals, it has a leading role in research, teaching and healthcare. Please submit you application as soons as possible to henrik.walter at charite.de Kind regards, Prof. Dr. Dr. Henrik Walter From carlos.alzate at ie.ibm.com Mon Apr 16 05:14:48 2018 From: carlos.alzate at ie.ibm.com (Carlos Alzate) Date: Mon, 16 Apr 2018 10:14:48 +0100 Subject: Connectionists: *Reminder* Call for Tutorials/Workshops - Deadline April 16, 2018 - ECML-PKDD 2018 - Dublin, Ireland Message-ID: The ECML-PKDD 2018 Organizing Committee invites proposals for half-day tutorials and full/half-day workshops to be held on the first and last days of the conference (September 10 and 14, 2018), which will take place in Dublin, Ireland. Tutorials are intended to provide a comprehensive introduction to established or emerging research topics of interest for the machine learning and the data mining community. These topics include related research fields or applications but also well-developed tools and suites that support ML/DM research. The ideal tutorial should attract a wide audience. It should be broad enough to provide a basic introduction to the chosen area, but it should also cover the most important topics in depth. Each tutorial should be well-focused so that its content can be covered in a half-day slot. Proposals that exclusively focus on the presenter?s own work or commercial demonstrations are strongly discouraged. Tutorial slides will be made available online at the ECML-PKDD website, although authors can provide them on additional websites as well. Depending on the budget, we may offer a waived registration fee for attendance to one speaker of each accepted tutorial (i.e., no guarantee at this stage). GUIDELINES FOR PROPOSALS Tutorial proposals should contain at least the following: A title and an abstract of the tutorial. A brief description of the tutorial content and its relevance to the ECML-PKDD community (no more than 2 pages). A brief outline of the tutorial structure showing that the tutorial?s core content can be covered in a 4 hours slot (including a 30 minutes break). The names and contact information of the tutorial instructors, including one-paragraph statements of their research interests and areas of expertise; it is required to indicate in the proposal who is planning to attend the conference and present which part. A list of previous venues and approximate audience sizes, if the same or a similar tutorial has been given elsewhere; otherwise an estimate of the audience size. A description of special requirements for technical equipment (e.g., audio equipment). Especially for a relatively novel but rapidly maturing topic, a half day tutorial (4h incl. one 30 minute break) followed by a half day workshop (4h incl. one 30 minute break) could be a good format. We kindly ask you to write a single proposal for the tutorial and workshop that covers the different guidelines and requirements for tutorials and workshops. In addition, the links should be clearly described and the proposal should be submitted to the workshop and tutorial chairs (select both ?Workshop? and ?Tutorial? as topics). For workshop guidelines, please see the separate Call For Workshop Proposals below. The proposal will be reviewed by the workshop and tutorial co-chairs, who may use the help of external reviewers, and experts on the submission topics. Features that will be evaluated are: The interestingness for the ECML-PKDD areas, which should result in a large audience. The clarity of the tutorial, which should emerge from its description. Good organization as appearing from the outline. The adequacy of the speakers, i.e., her/his background/experience in teaching the target topics. The ability to explain the topics to a large audience with heterogeneous background. Workshops provide an opportunity to discuss novel topics in a small and interactive atmosphere. They can concentrate in-depth on research topics, but can also be devoted to application issues, or to questions concerning the economic and social aspects of machine learning and data mining. Multidisciplinary workshops that bring together researchers and practitioners from different communities are particularly welcome. If the budget permits, one organizer or invited speaker of an accepted workshop may be offered the possibility of waived registration fee for attendance on the workshop day. DURATION & FORMAT We welcome both full- and half-day workshop proposals. Full-day workshops will have a program of typically 8 hours including two 30-minute coffee breaks and a 90-minute lunch break. Half-day workshops will have a 4 hours program with a 30-minute coffee break. We would like to encourage proposers to aim for a program that is both varied and interesting. Especially where the format of the workshop is concerned, we would like you to think about ways of going beyond the usual list of presentations of accepted papers. Keep in mind that the main conference is necessarily more time-constrained and workshops therefore allow for group explorations of interesting topics, for example by means of discussions, demo sessions, invited talks, and panels. Another way of extending the usual format is to include a specific challenge problem that can be addressed by the workshop participants, with a dedicated challenge session in the workshop program. Note, however, that the challenge should be only one of the components of the workshop, targeting a problem which is specific to the workshop topic(s). For some workshops, it may be useful to first present an introduction to the state-of-the-art in the field given by experienced invited presenters, and afterwards discuss more technical or novel work in a standard (or non-standard!) workshop setting. COMBINED TUTORIAL & WORKSHOP Especially for a relatively novel but rapidly maturing topic, giving the aforementioned introduction of the state-of-the-art may go beyond the scope of an invited presentation. In this case, a half day tutorial (4h incl. one 30 minute break) followed by a half day workshop (4h incl. one 30 minute break) could be a good format. We kindly ask you to write a single proposal for the tutorial and workshop that covers the different guidelines and requirements for tutorials and workshops. In addition, the links should be clearly described and the proposal should be submitted to the workshop and tutorial chairs (select both ?Workshop? and ?Tutorial? as topics). For tutorial guidelines, please see the separate Call For Tutorial Proposals above. GUIDELINES FOR PROPOSALS Workshop proposals should contain the necessary information for the workshop chairs and reviewers to judge the importance, quality, and community interest in the proposed topic (a minimum of 15-20 expected participants is required). Each workshop should have one or more designated organisers and a program. When proposing a workshop, please provide (at least) the following information: A brief description of the specific issues that the workshop will address, the reasons why the workshop is of interest, the main research areas involved, and what the workshop will add to the conference (e.g., do you expect papers of a theme that would not fit the main conference?). Contact information of the workshop chairs, their competence in the proposed topic(s), and previous experience in chairing scientific events. A tentative list of Program Committee members and potential invited speakers. A draft of the Call for Papers, including information on accepted formats (e.g., regular papers, extended abstracts, oral-only presentations of relevant recently published or submitted contributions, etc.) and expected format of the workshop (e.g., invited talks, presentations, poster sessions, panel discussions, challenge sessions, or other ideas for ensuring an interactive atmosphere). In the case of a combined tutorial-workshop, please clearly indicate the format. Any special requirements regarding logistics (e.g., poster stands, audio equipment), if applicable. An estimate of the number of expected submissions, and an estimate of the number of expected workshop participants at the conference. SUBMISSION Please submit your workshop proposals in PDF format to the email address wt_chairs at ecmlpkdd2018.org The submitted proposals will be reviewed in a close collaboration with the conference chairs and the program committee. IMPORTANT DATES ? Tutorials The following deadlines are important for the tutorial organizers: Tutorial proposal deadline: Monday, April 16, 2018 Tutorial acceptance notification: Monday, April 30, 2018 Tutorial final abstract submission: Monday, May 14, 2018 Tutorial course material (slides, bibliography) online: Monday, September 3, 2018 IMPORTANT DATES ? Workshops The following deadlines are important for the workshop organizers: Workshop proposal deadline: Monday, April 16, 2018 Workshop acceptance notification: Monday, April 30, 2018 Workshop websites and call for papers online: Monday, May 14, 2018 Workshop program and proceedings online: August 27, 2018 For paper submission, reviewing and final revisions, please consider the following deadlines: Workshop paper submission deadline: Monday, July 2, 2018 Workshop paper acceptance notification: Monday, July 23, 2018 Workshop paper camera-ready deadline: Monday, August 6, 2018 These deadlines are somewhat flexible, but consider as constraints that the paper submission deadline should be after conference author notification (June 14) and acceptance notification should be before the conference early registration deadline. CONTACTS In case you have further questions, please do not hesitate to contact the Workshop and Tutorial Chairs (Anna Monreale and Carlos Alzate) at wt_chairs at ecmlpkdd2018.org. We are looking forward to your proposals. ----------------------------------- Carlos Alzate, PhD Research Scientist - Machine Learning IBM Research AI IBM Research - Ireland Mulhuddart, Dublin 15, Ireland IBM Ireland Limited registered in Ireland under company number 16226. Registered Office: IBM House, Shelbourne Rd., Ballsbridge, Dublin 4 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mvzaanen at uvt.nl Mon Apr 16 09:07:29 2018 From: mvzaanen at uvt.nl (Menno van Zaanen) Date: Mon, 16 Apr 2018 15:07:29 +0200 Subject: Connectionists: Three PhD Positions in Cognitive Science & Artificial Intelligence in Tilburg Message-ID: <111396_1523884529_w3GDFRB8113384_20180416130729.2pvcohjnl3xq75c2@pinball.uvt.nl> Three PhD Positions in Cognitive Science & Artificial Intelligence in Tilburg deadline: May 21, 2018 starting date: summer/fall 2018 The Cognitive Science & Artificial Intelligence department at Tilburg University (The Netherlands) is looking for three enthusiastic colleagues for PhD positions on the project VIBE (Virtual Humans in the Brabant Economy). This project aims to develop embodied conversational agents in virtual reality that look and behave like humans both verbally and non-verbally and can be deployed in hospital settings. Together with 13 partners, including Tilburg University, universities of applied sciences, several technology firms, the Netherlands Aerospace Center, and three hospitals, we will build these agents for virtual, mixed and augmented reality environments, train these agents using sensing technologies and data science techniques, and deploy and test the agents in three hospitals that partner in this project. The successful PhD candidate holds a (research) master in a relevant area and is expected to have an academic mindset with an entrepreneurial interest, and is supposed to be enthusiastic, creative, and solution-driven. The candidate is comfortable with working in a multidisciplinary research team, has an excellent command of English and good professional communication skills. Specifically, the candidate has a strong background in areas such as cognitive science, computer science, data science, engineering, computational linguistics and virtual, mixed or augmented reality. More information can be found here: https://tiu.nu/13341 -------------------- - Menno van Zaanen - Just close your mind - mvzaanen at uvt.nl - You can find all you need with your eyes - ilk.uvt.nl/menno - -Dreamtheater -------------------- From Pavis at iit.it Mon Apr 16 09:35:01 2018 From: Pavis at iit.it (Pavis) Date: Mon, 16 Apr 2018 13:35:01 +0000 Subject: Connectionists: CFP - 1st Multimodal Learning and Applications Workshop (MULA 2018) Satellite ECCV 2018 Workshop In-Reply-To: <44d5442840df4e0a998ee9567e56e984@iit.it> References: <44d5442840df4e0a998ee9567e56e984@iit.it> Message-ID: Call For Papers 1st MUltimodal Learning and Applications Workshop (MULA 2018) Satellite ECCV 2018 Workshop The exploitation of the power of big data in the last few years led to a big step forward in many applications of Computer Vision. However, most of the tasks tackled so far are involving mainly visual modality due to the unbalanced number of labelled samples available among modalities (e.g., there are many huge labelled datasets for images while not as many for audio or IMU based classification), resulting in a huge gap in performance when algorithms are trained separately. This workshop aims to bring together communities of machine learning and multimodal data fusion. We expect contributions involving video, audio, depth, IR, IMU, laser, text, drawings, synthetic, etc. Position papers with feasibility studies and cross-modality issues with highly applicative flair are also encouraged therefore we expect a positive response from academic and industrial communities. This is an open call for papers, soliciting original contributions considering recent findings in theory, methodologies, and applications in the field of multimodal machine learning. Potential topics include, but are not limited to: * Multimodal learning * Cross-modal learning * Self-supervised learning for multimodal data * Multimodal data generation and sensors * Unsupervised learning on multimodal data * Cross-modal adaptation * Multimodal data fusion * Multimodal transfer learning * Multimodal applications (e.g. drone vision, autonomous driving, industrial inspection, etc.) Organizers: Paolo Rota, Italian Institute of Technology (IIT), Italy Vittorio Murino, Italian Institute of Technology (IIT), Italy Michael Ying Yang, University of Twente, Netherlands Bodo Rosenhahn, Institut fuer Informationsverarbeitung, Leibniz-Universitaet Hannover, Germany Invited Speakers: Raquel Urtasun, Head of Uber ATG Toronto, University of Toronto, Canada Daniel Cremers, Head of TU Munich Department of Informatics, Germany Submission: Papers will be limited to 14 pages according to the ECCV format (c.f. main conference authors guidelines). All papers will be reviewed by at least two reviewers with double-blind policy. Papers will be published in ECCV 2018 proceedings. Important Dates: Deadline for submission: May 15, 2018 Notification of acceptance: July 1, 2018 Publication: October, 2018 More info at MULA website: https://mula2018.github.io -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Mon Apr 16 09:47:59 2018 From: Pavis at iit.it (Pavis) Date: Mon, 16 Apr 2018 13:47:59 +0000 Subject: Connectionists: CFP - 1st Multimodal Learning and Applications Workshop (MULA 2018) Satellite ECCV 2018 Workshop In-Reply-To: References: <44d5442840df4e0a998ee9567e56e984@iit.it>, Message-ID: <17f09236b7bb4d58be008b940dad5ead@iit.it> Call For Papers 1st MUltimodal Learning and Applications Workshop (MULA 2018) Satellite ECCV 2018 Workshop The exploitation of the power of big data in the last few years led to a big step forward in many applications of Computer Vision. However, most of the tasks tackled so far are involving mainly visual modality due to the unbalanced number of labelled samples available among modalities (e.g., there are many huge labelled datasets for images while not as many for audio or IMU based classification), resulting in a huge gap in performance when algorithms are trained separately. This workshop aims to bring together communities of machine learning and multimodal data fusion. We expect contributions involving video, audio, depth, IR, IMU, laser, text, drawings, synthetic, etc. Position papers with feasibility studies and cross-modality issues with highly applicative flair are also encouraged therefore we expect a positive response from academic and industrial communities. This is an open call for papers, soliciting original contributions considering recent findings in theory, methodologies, and applications in the field of multimodal machine learning. Potential topics include, but are not limited to: * Multimodal learning * Cross-modal learning * Self-supervised learning for multimodal data * Multimodal data generation and sensors * Unsupervised learning on multimodal data * Cross-modal adaptation * Multimodal data fusion * Multimodal transfer learning * Multimodal applications (e.g. drone vision, autonomous driving, industrial inspection, etc.) Organizers: Paolo Rota, Italian Institute of Technology (IIT), Italy Vittorio Murino, Italian Institute of Technology (IIT), Italy Michael Ying Yang, University of Twente, Netherlands Bodo Rosenhahn, Institut fuer Informationsverarbeitung, Leibniz-Universitaet Hannover, Germany Invited Speakers: Raquel Urtasun, Head of Uber ATG Toronto, University of Toronto, Canada Daniel Cremers, Head of TU Munich Department of Informatics, Germany Submission: Papers will be limited to 14 pages according to the ECCV format (c.f. main conference authors guidelines). All papers will be reviewed by at least two reviewers with double-blind policy. Papers will be published in ECCV 2018 proceedings. Important Dates Deadline for submission: May 15, 2018 Notification of acceptance: July 1, 2018 Workshop Date: September 8 (afternoon), 2018 More info at MULA website: https://mula2018.github.io -------------- next part -------------- An HTML attachment was scrubbed... URL: From erdi.peter at wigner.mta.hu Mon Apr 16 13:00:02 2018 From: erdi.peter at wigner.mta.hu (=?ISO-8859-2?Q?=C9rdi_P=E9ter?=) Date: Mon, 16 Apr 2018 19:00:02 +0200 (CEST) Subject: Connectionists: [Comp-neuro] Michael Arbib autobiography: From Cybernetics to Brain Theory, and More: A Memoir In-Reply-To: References: Message-ID: Dear All: Accept my apologies, my message was not clear. Michael Arbib's Memoir is 1. available Now from IP addresses with ScienceDirect subscriptions, as https://ac.els-cdn.com/S1389041718301360/1-s2.0-S1389041718301360-main.pdf?_tid=898bf8a5-992e-470a-ba64-a9d93ef8f43e&acdnat=1523897880_12db18de4d1d52389702449f9d6e98e8 , 2. Elsevier will make open the FINAL version for a certain (?) period. I will send a note, when I will know the details. Kind regards, Peter From asier.erramuzpealiaga at osakidetza.net Mon Apr 16 10:36:15 2018 From: asier.erramuzpealiaga at osakidetza.net (Asier Erramuzpe Osakidetza) Date: Mon, 16 Apr 2018 16:36:15 +0200 Subject: Connectionists: [UNWANTED UNSUBSCRIPTIONS] Connectionists mailing list Message-ID: Dear Connectionists, last week we had a mass unsubscription issue due to a mail-bouncing, an unusual lapse of service from Google Servers that triggered our automatic unsubscription process. All the unsubscribed users were subscribed again silently. We are sorry about the inconveniences this problem could have caused. All the best, asier (Connectionist Moderator) -------------- next part -------------- An HTML attachment was scrubbed... URL: From shobeir at gmail.com Mon Apr 16 21:29:38 2018 From: shobeir at gmail.com (Shobeir Fakhraei) Date: Mon, 16 Apr 2018 18:29:38 -0700 Subject: Connectionists: [2nd CFP] ACM KDD MLG'18 - 14th International Workshop on Mining and Learning with Graphs (London, UK) Message-ID: *14th International Workshop on Mining and Learning with Graphs (MLG 2018)August 20, 2018London, UK (co-located with KDD 2018)http://www.mlgworkshop.org/2018/ Submission Deadline: May 8, 2018Keynotes:Tanya Berger-Wolf (University of Illinois Chicago)Luna Dong (Amazon)Christos Faloutsos (Carnegie Mellon University)Kristina Lerman (University of Southern California - ISI)Sujith Ravi (Google Research)Taha Yasseri (University of Oxford)Call for papers:This workshop is a forum for exchanging ideas and methods for mining and learning with graphs, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances graph analysis. In doing so, we aim to better understand the overarching principles and the limitations of our current methods and to inspire research on new algorithms and techniques for mining and learning with graphs.To reflect the broad scope of work on mining and learning with graphs, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation, to applications and empirical studies. As an example, the growth of user-generated content on blogs, microblogs, discussion forums, product reviews, etc., has given rise to a host of new opportunities for graph mining in the analysis of social media. We encourage submissions on theory, methods, and applications focusing on a broad range of graph-based approaches in various domains.Topics of interest include, but are not limited to:Theoretical aspects: - Computational or statistical learning theory related to graphs- Theoretical analysis of graph algorithms or models- Sampling and evaluation issues in graph algorithms- Analysis of dynamic graphsAlgorithms and methods: - Graph mining- Probabilistic and graphical models for structured data- Heterogeneous/multi-model graph analysis- Network embedding models- Statistical models of graph structure- Combinatorial graph methods- Semi-supervised learning, active learning, transductive inference, and transfer learning in the context of graphsApplications and analysis: - Analysis of social media- Analysis of biological networks- Knowledge graph construction- Large-scale analysis and modelingAll papers will be peer reviewed, single-blinded. We welcome many kinds of papers, such as, but not limited to: - Novel research papers- Demo papers- Work-in-progress papers- Visionary papers (white papers)- Appraisal papers of existing methods and tools (e.g., lessons learned)- Relevant work that has been previously published- Work that will be presented at the main conferenceAuthors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions. Submissions must be in PDF, no more than 8 pages long ? shorter papers are welcome ? and formatted according to the standard double-column ACM Proceedings Style . The accepted papers will be published on the workshop?s website and will not be considered archival for resubmission purposes. Authors whose papers are accepted to the workshop will have the opportunity to participate in a spotlight and poster session, and some set will also be chosen for oral presentation and considered for $1,000 best paper award sponsored by Kyndi.Timeline:Submission Deadline: May 8, 2018Notification: June 8, 2018 Final Version: June 28, 2018Workshop: August 20, 2018Submission instructions can be found on http://www.mlgworkshop.org/2018/ Please send enquiries to chair at mlgworkshop.org Organizers:Shobeir Fakhraei (University of Southern California, ISI)Danai Koutra (University of Michigan, Ann Arbor)Julian McAuley (University of California, San Diego) Bryan Perozzi (Google Research)Tim Weninger (University of Notre Dame)Program Committee:Ana Paula Appel (I.B.M.), Miguel Araujo (Carnegie Mellon University), Arindam Banerjee (University of Minnesota), Christian Bauckhage (Fraunhofer), Ulf Brefeld (Leuphana Universit?t L?neburg), Ivan Brugere (University of Illinois at Chicago), Aaron Clauset (University of Colorado at Boulder), Alessandro Epasto (Google), Emilio Ferrara (University of Southern California), Thomas G?rtner (University of Nottingham), David Gleich (Purdue University), Mohammad Hasan (Indiana U.?Purdue U. Indianapolis), Jake Hofman (Microsoft Research), Larry Holder (Washington State University), Bert Huang (Virginia Tech), Kristian Kersting (TU Darmstadt), Stefano Leucci (ETH Zurich), Fred Morstatter (University of Southern California), Vagelis Papalexakis (University of California Riverside), Ali Pinar (Sandia National Laboratories), Aditya Prakash (Virginia Tech), Arti Ramesh (Binghamton University), Jan Ramon (INRIA), Xiang Ren (University of Southern California), Neil Shah (Snap Inc.), Sucheta Soundarajan (Syracuse University), Yizhou Sun (University of California, Los Angeles), Acar Tamersoy (Symantec Research Labs), Jiliang Tang (Michigan State University), Hanghang Tong (Arizona State University), Xin-Zeng Wu (Information Sciences Institute), Zhongfei Zhang (Binghamton University), Elena Zheleva (University of Illinois at Chicago)To receive updates about the current and future workshops and the Graph Mining community, please join the mailing list: https://groups.google.com/d/forum/mlg-list or follow the twitter account: https://twitter.com/mlgworkshop Find a PDF copy of this CFP here: http://www.mlgworkshop.org/2018/MLG2018_CFP.pdf We look forward to seeing you at the workshop!* -------------- next part -------------- An HTML attachment was scrubbed... URL: From kerstin.ritter at bccn-berlin.de Tue Apr 17 03:39:59 2018 From: kerstin.ritter at bccn-berlin.de (Kerstin Ritter) Date: Tue, 17 Apr 2018 09:39:59 +0200 (CEST) Subject: Connectionists: =?utf-8?q?PhD_position_in_clinical_connectomics_a?= =?utf-8?q?t_Charit=C3=A9_-_Berlin?= In-Reply-To: <1221345922.621680.1523950724379.JavaMail.root@comms> Message-ID: <660636846.621763.1523950799218.JavaMail.root@comms> Dear all, Vacancy: The Division of ?Mind and Brain Research? (Prof. Dr. Dr. Henrik Walter), Department of Psychiatry and Psychotherapy, Charit? ? Universit?tsmedizin Berlin is seeking as soon as possible for a research associate (doctoral student) for a three-year research project within the framework of the DFG Priority Program "Computational Connectomics" on "Clinical Connectomics: A Network Approach for deep brain stimulation ". We are looking for outstanding candidates with a master's degree in psychology, neuroinformatics, cognitive science or related disciplines who have very good programming skills (ideally MATLAB, Python, C ++), prior experience in functional magnetic resonance imaging (fMRI) research, and ideally knowledge about network theory / graph theory in the sense of a functional network organization of the brain. We offer the opportunity for doctoral studies in an interdisciplinary research team. Company description: Charit? - Universit?tsmedizin Berlin is a joint institution of the Freie Universit?t Berlin and the Humboldt-Universit?t Berlin. As one of Europe's largest university hospitals, it has a leading role in research, teaching and healthcare. Please submit you application as soons as possible to henrik.walter at charite.de Kind regards, Prof. Dr. Dr. Henrik Walter From Donald.Adjeroh at mail.wvu.edu Tue Apr 17 08:43:17 2018 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 17 Apr 2018 12:43:17 +0000 Subject: Connectionists: SBP-BRiMS 2018 Grand Interdisciplinary Data-Science and Modeling Challenge. In-Reply-To: References: , <7F764823-1B48-42D3-AE2E-520611D0232D@jhuapl.edu>, , , , , , , , , , Message-ID: Apologies if you receive multiple copies ... SBP-BRiMS 2018 Grand Interdisciplinary Data-Science and Modeling Challenge. George Washington University,Washington DC, USA (part of the SBP-BRiMS 2018 conference - July 10 ? July 13, 2018) http://sbp-brims.org/2018/ More information on Challenge 1 Opiods. More information on Challenge 2 Disinformation. Guidelines A strong entry generally has one or more of these components: * Employ multiple data sets. * Be theory based. * Include at least one high quality visualization (note that participants will be allowed to display dynamic visualizations via some form of electronic media e.g., by hanging a tablet from the poster. However, please note that tables will not be provided. * Account for biases in the data across time, space, topics and sources. * Demonstrates a deep understanding of the problem being addressed. * Providea a new metric, simulation or algorithm development such as: * A new spatial, temporal, or network analytic methodology or algorithm, or a simulation model, that can cope with the vast scale of open source data (e.g.Twitter data) and support answering a key social or policy issue. * A new spatial analytic methodology that can better take into account change over time and non-spatial distances (such as co-occurrences and semantic similarity between locations). * A new network methodology that better incorporate the diversity of actor and relationship types in the data, spatio-temporal information, or for constructing edges from the data and for distributing actor and edge attributes onto the graph. * A novel simulation that that supports reasoning about the spread of fake news or propaganda that uses empirical data to either instantiate the model or to confirm some of the results. * Generates a new empirical finding that challenges or provides novel support for existing social or political theory, or provides information of policy relevance. Note, the results of computer simulation are viewed as empirical findings. In addition, a strong entry should be well-written and provide some level of creativity in its use of or combination of data. Submitting and Entry What to Submit You need to submit 3 things - An extended abstract, A PDF of your poster, and A powerpoint promotion slide. All three of these will go in the on-line proceedings Extended Abstract: A 2-page abstract describing the project. This should define: * What social/policy question was asked or challenge addressed? * Why is this question important or the challenge critical in the context of fake news and/or propaganda? * What data sets were used? * What is the novel contribution? * What is the key methodology or methodologies used? * What is the key policy issue or theory being addressed? * Who is the team? Provide names, email and institution. A PDF of your poster: This will be put on line. You are, however, responsible for printing and bringing your own poster to the conference. An easel will be provided, but not posterboard. The poster should be either 4?x3? or 3?x4?. Promotion Slide This is a single powerpoint slide. The purpose of this slide is to excite people to come to your poster. This slide will also be put on line. You will be given one minute to present this slide at the conference to encourage people to come and see your poster. This slide should contain: * Title of project * Names of all team members This slide may contain: * Any word or image or idea that you think will promote your poster * Logos for your group, company or organization When to Submit Challenge Response Submission: 14-May-2018 At this point just send the short abstract. Author Notification: 01-June-2018 Final Version Challenge Response Submission: 25-June 2018 At this point send the paper, the slide, and a PDF of the poster. How to Submit All challenge participants will need to submit these items: 1. Short Abstract: Due May 14th, This is a maximum of 6 pages including references and figures. It should address what was done, how it was done, what data was used, and how this met the challenge. 2. One page slide: This is a synopsis slide that will be used in the 1 minute teaser presentation to get people to come to the poster. 3. PDF of the poster that can be viewed online. 4. Final Challenge paper: Due June 25th, This is a maximum of 10 pages including references and figures. These should not have been submitted elsewhere. These will be put on the conference website as part of the online proceedings which is not archival. In addition, the final paper of the winner, runner up, and potentially other final papers, will be published in a special issue of the journal of Computational and Mathematical Organization Theory which is archival. Submission of a challenge entry constitutes willingness to have the final challenge paper published in the venue. 5. Who is the team? Provide names, email and institution. 6. The abstract, slide, and poster that are student-led need to be clearly marked as student-led. To be considered student-led the following conditions must be met: * The project was led by a student enrolled in a university * The project is not coming out of a corporation, government lab, or FFRDC What to Present All entries will send at least one team member to SBP-BRiMS 2018 who will be registered for the conference by the early registration deadline to present their poster in the evening poster session. The poster will be 4?x3? or 3?x4?. Participants may bring in additional props to enhance their presentation. In addition, the team spokesperson should be ready to present a 1 minute talk using the slide, to encourage people to come to their poster. Each team will also do a short talk that will be video taped and made available describing their approach and solution. Finally, the winning entry will give a short talk on the last day of the conference. How entries will be judged Entries will be judged by community voting at the poster session. Who is eligible Anyone with an interest in using this data to address a social or policy issue. Entries are accepted from single individuals or teams. Suggestion: Participants may want to use Jupyter to demonstrate their code and results. Examples can be found here, Sample Jupyter Notebooks. Winning Entry The final paper for the winning entry will be published in the journal Computational and Mathematical Organization Theory ? in the SBP-BRiMS 2018 special issue. A member of the team that developed the winning entry will do a short presentation on the final day of the conference describing the response. Challenge Committee * Kathleen M. Carley * Ayaz Hyder Submit Questions Regarding Challenge All questions and concerns can be sent to sbp-brims at andrew.cmu.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From unilog2018 at uca.fr Tue Apr 17 06:44:22 2018 From: unilog2018 at uca.fr (Unilog 2018) Date: Tue, 17 Apr 2018 12:44:22 +0200 (CEST) Subject: Connectionists: 6th School on Universal Logic : call for participation Message-ID: <1364740245.4252728.1523961862216.JavaMail.zimbra@uca.fr> -------------------------------------------------------------------------------------------- In exactly two months will start in Vichy, France the 6th School on Universal Logic http://www.uni-log.org/ULS6 This is a 5-day school with 30 tutorials on all aspects of logic (historical, philosophical, mathematical, computational) given by scholars from all over the world. The school will start by a round table "why study logic?" and will end with a round table "how to publish?" There also will be a poster session and the school will be followed by a 6-day congress. Some videos introducing UNILOG 2018 school tutorials: https://www.youtube.com/channel/UCW9jSSry0zoYz-FdREK5-Uw ------------------------------------------------------------------------------- U N I L O G - World Congress and School on Universal Logic - U N I LO G Montreux 2005, Xi'an 2007, Lisbon 2010, Rio 2013, Istanbul 2015, Vichy 2018 https://www.uni-log.org/vichy2018 https://www.facebook.com/UniversalLogicVichy/ ------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From sarathcse2008 at gmail.com Tue Apr 17 23:17:02 2018 From: sarathcse2008 at gmail.com (Sarath Chandar) Date: Tue, 17 Apr 2018 23:17:02 -0400 Subject: Connectionists: CfP: 2nd Workshop on Lifelong Learning: A Reinforcement Learning Approach @ICML/IJCAI 2018. Message-ID: *Dear Colleagues,We would like to invite you to submit extended abstracts of between 4-8 pages to our 'Lifelong Learning: A Reinforcement Learning Approach' ICML/IJCAI 2018 Workshop which will be held in Stockholm, Sweden on July 14 or 15, 2018. This workshop is part of the Federated AI Meeting (FAIM) which includes ICML/IJCAI/AAMAS/ICCBR.IMPORTANT INFORMATION************************************************Website: https://sites.google.com/view/llarla2018/ Date: 14 or 15 July 2018Location: Stockholm, SwedenSubmission deadline: 23rd May 2018, 11:59 PM (Anywhere on Earth)OVERVIEW************************************************One of the most challenging and open problems in Artificial Intelligence (AI) is that of Lifelong Learning:?Lifelong Learning is the continued learning of tasks, from one or more domains, over the course of a lifetime, by a lifelong learning system. A lifelong learning system efficiently and effectively (1) retains the knowledge it has learned; (2) selectively transfers knowledge to learn new tasks; and (3) ensures the effective and efficient interaction between (1) and (2).?Lifelong learning is still in its infancy. Many issues currently exist such as learning general representations, catastrophic forgetting, efficient knowledge retention mechanisms and hierarchical abstractions. Much work has been done in the Reinforcement Learning (RL) community to tackle different elements of lifelong learning. Active research topics include hierarchical abstractions, transfer learning, multi-task learning and curriculum learning. With the emergence of powerful function approximators such as in Deep Learning, we feel that now is a perfect time to provide a forum to discuss ways to move forward and provide a truly general lifelong learning framework, using RL-based algorithms, with more rigor than ever before. This workshop will endeavor to promote interaction between researchers working on the different elements of lifelong learning to try and find a synergy between the various techniques.SUBMISSION************************************************The submitted work should be an extended abstract of between 4-8 pages (including references). The submission should be in pdf format and should follow the style guidelines for ICML 2018. The review process is double-blind and the work should be submitted by the latest 23rd May 2018, 11:59 PM(Anywhere on Earth). Submissions must be made through easychair:https://easychair.org/conferences/?conf=llarla2018 ?? AREAS OF INTEREST************************************************ - Using Hierarchical Abstractions to perform lifelong learning (e.g., skills/options and state space representations)- Catastrophic forgetting in lifelong learning- Transfer Learning- Multi-task Learning- Curriculum Learning- Meta-Learning- Deep Learning as a tool for performing lifelong learning- Determine new, challenging benchmark domainsFor more info see our website .WORKSHOP ORGANIZERS************************************************Sarath Chandar - University of MontrealTom Zahavy - Technion Israel Institute of TechnologyDaniel J. Mankowitz - Technion Israel Institute of TechnologyBalaraman Ravindran - Indian Institute of TechnologyShie Mannor - Technion Israel Institute of TechnologyWe look forward to reviewing your submissions and hope to see you in Stockholm!Kind regards,Sarath, Tom, Daniel, Ravi, and ShieLifelong Learning: A Reinforcement Learning Approach Workshop organizers* -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.fairbank at essex.ac.uk Tue Apr 17 13:10:50 2018 From: m.fairbank at essex.ac.uk (Fairbank, Michael H) Date: Tue, 17 Apr 2018 17:10:50 +0000 Subject: Connectionists: Games and AI Lectureship - University of Essex UK Message-ID: We have a lectureship in Games and AI. Closing date 16th May 2018. Please let anyone know who might be interested. http://www.jobs.ac.uk/job/BJA195/lecturer-in-computer-games-and-artificial-intelligence/ Dr Michael Fairbank University of Essex Colechester UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.panzeri at gmail.com Tue Apr 17 16:28:38 2018 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Tue, 17 Apr 2018 22:28:38 +0200 Subject: Connectionists: Fully funded PhD Positions at IIT Rovereto - Computational approaches to study the neural code Message-ID: I am seeking candidates for fully funded PhD positions at the Italian Institute of Technology?s in the lab directed by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri ) and located in Rovereto (Trento), Italy. IIT collaborates with University of Trento and funds these positions at the PhD course in Cognitive and Brain Sciences. The PhD project can focus on any of the research topics about neural information processing that are of interest to both the candidate and my lab, including: developing mathematical analysis methods and neural network models for studying neural population coding during cognitive tasks, for studying the neural bases of sensory perception and decision making, for linking functional to anatomical connectivity with cellular resolution at the neural population level, and for determining the best theoretical framework to combine recording of neural activity (calcium imaging, electrophysiology, EEG) and intervention on it (optogenetics, TMS). My computational neuroscience lab has developed long-term collaboration with many experimental laboratories including Christopher Harvey and Wei Lee (Harvard Medical School), Nikos Logothetis (Tuebingen), Tommaso Fellin (IIT), Mathew Diamond and Davide Zoccolan (SISSA), Alex Thiele (Newcastle) and others. The PhD project will likely involve collaborations with one or more experimental lab. For recent representative publications please see: van Vugt B, et al, (2018) Science: in press. DOI: 10.1126/science.aar7186 Zaldivar, D., et al, (2018) Current Biology 28: 224-235 Runyan C. A., et al (2017) Nature: 548: 92-96 Panzeri, S, et al (2017) Neuron 93: 491-507 Safaai, H. et al (2015) Proc. Natl. Acad. Sci. USA 112(41): 12834?12839 Fasoli, D. et al (2016) PLoS Computational Biology, 12(8): e1004992. Panzeri, S., et al (2015) Trends in Cognitive Sciences 19: 162-172 Einevoll, G., et al (2013) Nature Reviews Neuroscience, 14, 770-785 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 will be set to May 31st 2018, but interested candidates are invited me to contact me informally by email ( stefano.panzeri at iit.it) *as soon as possible,* and no later than May 1st 2018, by attaching their CV and briefly explaining their interest in this position, to initiate discussion about potential PhD projects of interest. In order to formally apply to the PhD Position, candidates will then need to refer to the call published by Universit? degli Studi di Trento (see http://www.unitn.it/drcimec/topic-specific-grants ). The PhD positions available for projects under my supervision are those entitled ?Neural Coding? and ?Computational cognitive neuroscience? Yours truly, Stefano Panzeri stefano.panzeri at iit.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Wed Apr 18 02:25:58 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Wed, 18 Apr 2018 09:25:58 +0300 Subject: Connectionists: 21st International Conference on Discovery Science (DS 2018): First Call for Papers Message-ID: *** FIRST CALL FOR PAPERS *** 21st International Conference on Discovery Science (DS 2018) St. Raphael Resort, Limassol, Cyprus, 30-31 October, 2018 http://www.cyprusconferences.org/ds2018 (*** In conjunction with ISMIS 2018 ***) WELCOME The 21st International Conference on Discovery Science (DS 2018) provides an open forum for intensive discussions and exchange of new ideas among researchers working in the area of Discovery Science. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. We welcome papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data. We particularly welcome papers addressing applications. Finally, we would like to encourage contributions from the areas of computational scientific discovery, mining scientific data, computational creativity and discovery informatics. DS 2018 will be co-located with ISMIS 2018, the 24th International Symposium on Methodologies for Intelligent Systems. The two conferences will be held in parallel, and will share their invited talks. TOPICS We invite submissions of research papers addressing all aspects of discovery science. We particularly welcome contributions that discuss the application of data analysis, data mining and other support techniques for scientific discovery including, but not limited to, biomedical, astronomical and other physics domains. Applications to massive, heterogeneous, continuous or imprecise data sets are of particular interests. Possible topics include, but are not limited to: ? Knowledge discovery, machine learning and statistical methods ? Ubiquitous knowledge discovery ? Data streams, evolving data and models ? Change detection and model maintenance ? Active knowledge discovery ? Learning from text and web mining ? Information extraction from scientific literature ? Knowledge discovery from heterogeneous, unstructured and multimedia data ? Knowledge discovery in network and link data ? Knowledge discovery in social networks ? Data and knowledge visualization ? Spatial/temporal Data ? Mining graphs and structured data ? Planning to learn ? Knowledge transfer ? Computational creativity ? Human-machine interaction for knowledge discovery and management ? Biomedical knowledge discovery and analysis ? Machine learning for high-performance computing, grid and cloud computing ? Applications of the above techniques to natural or social sciences PAPER SUBMISSION Papers may contain up to fifteen (15) pages and must be formatted according to the layout supplied by Springer-Verlag for the Lecture Notes in Computer Science series. Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the DS 2018 review process Authors can submit their papers electronically via our submission page through Easychair: https://easychair.org/conferences/?conf=ds20180 . PUBLICATION AND JOURNAL SPECIAL ISSUES The DS 2018 proceedings will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and will be available at the conference. Authors of best papers will be invited to submit their extended versions to the Machine Learning journal (https://link.springer.com/journal/10994 ) published by Springer. Fast Track Processing will be used to have them reviewed and published. IMPORTANT DATES ? Paper Submissions due: 28th June 2018 ? Notification of Acceptance/Rejection: 18th July 2018 ? Camera-Ready Versions of Accepted Papers: 28th July 2018 ? Author Registration: 31st Juy 2018 ? Early Non-Author Registration: 10th September 2018 ? Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE General Chair ? George Angelos Papadopoulos (University of Cyprus, Cyprus) Program Committee Co-Chairs ? Larisa Soldatova, Goldsmiths, University of London, UK ? Joaquin Vanschoren, Eindhoven University of Technology, the Netherlands -------------- next part -------------- An HTML attachment was scrubbed... URL: From vvouloutsi at ibecbarcelona.eu Wed Apr 18 12:19:49 2018 From: vvouloutsi at ibecbarcelona.eu (Vasiliki Vouloutsi) Date: Wed, 18 Apr 2018 18:19:49 +0200 Subject: Connectionists: [Jobs] Postdoctoral Fellowships at IBEC BEST Programme (Bioengineering Excellence Scientific Training) Message-ID: Dear colleagues, We are looking for a highly motivated postdoctoral candidate with expertise in software engineering and robotics. * *The successful candidate will have the opportunity to join theSPECS-lab group (http://www.ibecbarcelona.eu/specs ), In Barcelona, Spain*,* and work in an exciting and multidisciplinary environment with different types of robotics platforms including the iCub robot. * * *IBEC?s Programme in Bioengineering Excellence Scientific Training (BEST) aims to attract international experienced researchers in the areas of Nanomedicine, Cell Engineering and ICT for Health, the three research Flagships at the Institute.* * * *The details?of the call and instructions for applicants can be found online at * http://www.ibecbarcelona.eu/postdoctoral-fellowships-at-ibec-best-programme-bioengineering-excellence-scientific-training/ *Interested applicants should fill**?the application form*https://careers.ibecbarcelona.eu *before April, 30**th?2018.* For more information please contact: GuillermoTalavera, PhD Project Manager E-mail:gtalavera at ibecbarcelona.eu Research Affairs Institute forBioEngineeringof Catalonia (IBEC) Phone: +34 934 031 964 Fax: +34 934 039 702 Web:http://www.ibecbarcelona.eu/ Kind regards, -- Vicky Vouloutsi, PhD Postdoc Researcher at the laboratory for Synthetic Perceptive, Emotive and Cognitive Systems (SPECS ) mail: vvouloutsi at ibecbarcelona.eu LinkedIn researchgate -------------- next part -------------- An HTML attachment was scrubbed... URL: From almayalanis at gmail.com Wed Apr 18 12:55:55 2018 From: almayalanis at gmail.com (Alma Y. Alanis) Date: Wed, 18 Apr 2018 11:55:55 -0500 Subject: Connectionists: IEEE LA-CCI 2018 in Guadalajara Message-ID: *2018 IEEE ? 5th IEEE Latin-American Conference on Computational Intelligence (IEEE LA-CCI 2018)* November, 7-9th, 2018 Sponsored by the IEEE-CIS Supported by CI Societies/Groups from: Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Mexico (Host), Peru and Venezuela THE CONFERENCE WEBSITE LINK => http://la-cci.org/ FOR SUBMMITING YOUR LATEST WORK => https://easychair.org/conferen ces/?conf=2018ieeelacci SECOND-CFP (*FEEL FREE TO DISTRIBUTE*) => http://la-cci.org/la-cci-2018/ call-for-papers-2018/ Important Dates Paper submissions: *May 14, 2018 (HARD DEADLINE)* Notification of acceptance: June 15, 2018 Theses Contest Deadline: June 15, 2018 IEEE LA-CCI School: November 7-9, 2018 2018 IEEE LA-CCI: November 7-9, 2018 List of Key - Speakers (CONFIRMED): - Carlos Coello, Mexico - Carlos Lopez-Franco, Mexico - Esteban A. Hernandez-Vargas, Germany - Hojjat Adeli, USA - Jagannathan Sarangapani, USA - Nancy Arana-Daniel, Mexico - Oscar Castillo, Mexico - Patricia Melin, Mexico - Paul Werbos, USA - Vicenzo Piuri, Italy Main-Tracks: I) *Evolutionary& Swarm Computation*: Genetic Algorithms, Genetic Programming, Artificial Immune Systems, Swarm Intelligence, Collective Intelligence, Evolvable Hardware, Bio-inspired Methods. *CHAIR: Erik Cuevas* II) *Neural& Learning Systems*: Neural Networks, Machine Learning, Complex Systems, Molecular and Quantum Computing, Complex Networks. *CO-CHAIRS: Nancy Arana-Daniel and Carlos Lopez-Franco* III) *Fuzzy & Stochastic Modeling*: Fuzzy Systems, Fuzzy Control & Decision Making, Uncertainty Analysis, Rough Sets, Fractals, Multiagent Systems, Reinforcement Learning, Game Theory. *CHAIR: Daniel Navarro* Activities: LA-CCI SCHOOL on CI; POST GRADUATE THESIS CONTEST; ROUND-TABLES & more. Warm regards, Alma Y. Alanis and Marco A. Perez-Cisneros PC-Chairs of 2018 IEEE LA-CCI -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Wed Apr 18 16:51:43 2018 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Wed, 18 Apr 2018 16:51:43 -0400 Subject: Connectionists: 2018 NEURON Summer course Message-ID: The 2018 NEURON Summer Course will be held at Emory University in Atlanta, Georgia, from Monday, August 6, through Saturday, August 11. The course will present a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. This year continues the 6 day curriculum we introduced last year in order to provide expanded coverage of parallel simulation, and to give participants more time for active learning exercises. The registration deadline is Monday, July 16, 2018. No applications will be accepted after that date, and there will be no on-site registration. Space is limited, and applications will be considered in the order received. For more information and the on-line registration form, see http://www.neuron.yale.edu/neuron/static/courses/summer2018/summer2018.html --Ted From weng at cse.msu.edu Wed Apr 18 18:42:07 2018 From: weng at cse.msu.edu (Juyang Weng) Date: Wed, 18 Apr 2018 18:42:07 -0400 Subject: Connectionists: Brain-Mind Magazine: Vol. 6, No. 2: Table of Contents Message-ID: <33b5f7d1-1b2e-9690-254b-6eb2d6feb243@cse.msu.edu> Brain-Mind Magazine Vol. 6, No. 2 Table of Contents Front Cover 0 http://www.brain-mind-magazine.org/read.php?file=Cover-2017-V6-N2.pdf Strong AI is Clear, Necessary, and Practical 1 - 4 by Juyang Weng Abstract: On one hand, weak AI --- AI (Artificial Intelligence) that focuses on one narrow task --- is widespread but brittle. On the other hand, the AI Community has been continuously ignoring the fundamental advances in my group at MSU toward strong AI --- task-nonspecificity, modality-nonspecificity, auto-programming for general purposes, GENISAMA (Grounded, Emergent, Natural, Incremental, Skulled, Attentive, Motivated, Abstractive), lifetime maximum-likelihood, and Auto-Programming OS. These advances have provided surprising insight: Although we have not resolved all problems yet, strong AI is now clear and necessary not only because this is the only way for natural intelligence to emerge through lifetime but also due to compelling algorithmic and computational reasons. The good news is: Strong AI is also practical. However, the AI community is now so fragmented that every AI school ignores other AI schools. If we report our work in the venue of an AI fragment, other AI fragments will continue to ignore. This article points out that this unfortunate status quo of AI is no longer due to a lack of scientific knowledge about strong AI, but due to political reasons --- non-scientific metrics implicitly used by wide-readership journals like Science and Nature seems to be responsible for blocking our reports of above major advances. Have Science and Nature forgotten their publicly stated missions? How can AAAI, AAAS, Society for Neuroscience, Science journal, Nature journal, and government funding agencies overcome the political challenges? Index terms: Strong AI, weak AI, system neuroscience, AAAI, AAAS, Society for Neuroscience, Science journal, Nature journal http://www.brain-mind-magazine.org/read.php?file=BMM-2017-V6-N2-a1-Strong-AI-a.pdf North Korea: The Importance of Reevaluation 5 - 7 by Ranadeep Mitra Abstract: The North Korean state has long been at odds with South Korea, the United States, and their allies. The common solution to the conflict has been to enforce sanctions on North Korea to prevent them from further developing their weaponry. However, time has shown that sanctions are ineffective, harmful to civilians, and even detrimental to the prevention of war. The United States possesses the wisdom and resources to solve it. By incorporating modern psychology into the government, the United States can better understand the motivations of the North Korean state and find alternative and more effective methods of ending this long-standing conflict. There is no easy or quick course of action and there will be many obstacles in the future. However, no ideology is set in stone. Just as the United States can evolve with the modern world, so can the North Korean regime, but only if we take the steps necessary to prevent war. It is critical that we reevaluate our stance on the conflict using modern science so that we can ensure the security of the United States and bring peace to the Korean peninsula. Index terms: North Korea, Kim Jong-un, sanctions, conflict, war, peace, psychology http://www.brain-mind-magazine.org/read.php?file=BMM-2017-V6-N2-a2-North-Korea-a.pdf Brain Stories 7: What Fudan University Owes Us 8 - 10 by Brian N. Huang Abstract: Fudan University is arguably the ``best'' university in Shanghai, China. Like all other major universities in China, Fudan University has given its undergraduates higher education --- a great treasure of life. The author was a student of the class of '77, the first class of the entrance examination after the Cultural Revolution. This story talks about a naive mind, a naive curriculum. It raises a question that is highly controversial: It is like if the mother was poor, why do you ask what your mother owed you? Index terms: Education, political science, curriculum, science and technology http://www.brain-mind-magazine.org/read.php?file=BMM-2017-V6-N2-a3-Brain7-Fudan-a.pdf Power Corrupts 11 - 12 by J. Arden Knoll Abstract: Power corrupts those who have it, and China's President, Xi Jinping, individually holds the most unchecked power among the world's leaders. During a recent visit to China, President Donald Trump admitted to Xi Jinping's incredible amount of power compared to past Chinese rulers. His statement carries a lot of weight, as China is a continuously growing superpower. Ultimately, Xi Jinping's Government continues to become more corrupt and China and the rest of the world will soon have to face the consequences. Index terms: Superpower, Communist Party, checks and balances http://www.brain-mind-magazine.org/read.php?file=BMM-2017-V6-N2-a4-PowerCorrupts-a.pdf Back Cover 13 http://www.brain-mind-magazine.org/read.php?file=CoverBack-2017-10-26.pdf From george at cs.ucy.ac.cy Thu Apr 19 08:07:14 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Thu, 19 Apr 2018 15:07:14 +0300 Subject: Connectionists: 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018): Third Call for Papers In-Reply-To: References: Message-ID: <2CB0BBDD-1F15-43CD-BA17-7A1B627DD032@cs.ucy.ac.cy> *** THIRD CALL FOR PAPERS *** 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018) St. Raphael Resort, Limassol, Cyprus, 29-31 October, 2018 http://www.cyprusconferences.org/ismis2018 WELCOME ISMIS is an established and prestigious conference for exchanging the latest research results in building intelligent systems. Held twice every three years, the conference provides a medium for exchanging scientific research and technological achievements accomplished by the international community. SCOPE The scope of ISMIS is intended to represent a wide range of topics on applying Artificial Intelligence techniques to areas as diverse as decision support, automated deduction, reasoning, knowledge based systems, machine learning, computer vision, robotics, planning, databases, information retrieval, etc. The focus is on research in intelligent systems. The conference addresses issues involving solutions to problems that are complex to be solved through conventional approaches and that require the simulation of intelligent thought processes, heuristics and applications of knowledge. The integration of these multiple approaches in solving complex problems is of particular importance. ISMIS provides a forum and a means for exchanging information for those interested purely in theory, those interested primarily in implementation, and those interested in specific research and industrial applications. TOPICS ISMIS 2018 is intended to attract individuals who are actively engaged both in theoretical and practical aspects of intelligent systems. The goal is to provide a platform for a useful exchange between theoreticians and practitioners, and to foster the cross-fertilization of ideas in the following areas: ? Active Media Human-Computer Interaction ? Autonomic and Evolutionary Computation ? Digital Libraries ? Health Informatics ? Intelligent Agent Technology ? Intelligent Data Processing and Analytics ? Intelligent Information Retrieval ? Intelligent Information Systems ? Intelligent Language Processing ? Knowledge Integration and Aggregation ? Knowledge Discovery and Data Mining ? Knowledge Visualization ? Logic for Artificial Intelligence ? Multimedia Information Retrieval ? Soft Computing ? Text Mining ? Web Intelligence ? Web Mining In addition, we solicit papers dealing with Applications of Intelligent Systems in complex/novel domains, e.g. art, human genome, global change, manufacturing, social good, etc. PAPER SUBMISSION Authors are invited to submit their manuscripts in LNCS/LNAI style (maximum 10 pages). All paper submissions will be handled electronically. All submissions will be subject to review by the ISMIS 2018 Program Committee. Papers should be prepared using the Springer LNCS/LNAI style (http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines), maximum 10 pages. Papers should be submitted in PDF form via ISMIS 2018 Online Submission System: https://easychair.org/conferences/?conf=ismis2018 . PUBLICATION AND JOURNAL SPECIAL ISSUES The ISMIS 2018 proceedings will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and will be available at the conference. Authors of best papers will be invited to submit their extended versions to the Journal of Intelligent Information Systems (JIIS) (http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10844) published by Springer. Fast Track Processing will be used to have them reviewed and published. IMPORTANT DATES ? Paper Submissions due: 10th May 2018 ? Notification of Acceptance/Rejection: 10th July 2018 ? Camera-Ready Versions of Accepted Papers: 31st July 2018 ? Author Registration: 31st Juy 2018 ? Early Non-Author Registration: 10th September 2018 ? Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE Steering Committee Chair ? Zbigniew Ras (UNC-Charlotte, USA & Polish-Japanese Academy of IT, Poland) Symposium Chair ? George Angelos Papadopoulos (University of Cyprus, Cyprus) Program Committee Co-Chairs ? Michelangelo Ceci (Universita degli Studi di Bari, Italy) ? Nathalie Japkowicz (American University, USA) ? Jiming Liu (Hong Kong Baptist University, Hong Kong) Special Sessions Chair ? Stefano Ferilli (University of Bari, Italy) Program Committee http://cyprusconferences.org/ismis2018/committees/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From josepman at ucm.es Thu Apr 19 13:46:45 2018 From: josepman at ucm.es (JOSE PEDRO MANZANO PATRON) Date: Thu, 19 Apr 2018 19:46:45 +0200 Subject: Connectionists: Madrid Brainhack Global 2018 Message-ID: *---------------------------------------------------------------------------------------------------------* ****REGISTRATION IS NOW OPEN // CALL FOR PROJECTS**** *DEADLINE: 1st of May* *---------------------------------------------------------------------------------------------------------* *Madrid Brainhack Global 2018* *May 3-5, 2018* *ETSI Telecomunicaciones (UPM), Madrid, Spain* https://www.eventbrite.es/e/entradas-madrid-brainhack-global-2018-45013780429 . [APOLOGIES FOR (DOUBLE) POSTING] Dear all, On *3-5th May* 2018, the first edition of Madrid Brainhack will take place at the ETSI Telecomunicaciones (UPM), as part of the Brainhack Global event (May 2-6). During this three-day event, dedicated to students and PhD students, we will work in teams on *computational neuroscience-related projects*. The aim of the event is to collaborate on projects, meet new researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community (Craddock et al., 2016) . In this first edition, a panel of speakers of first-level quality will be supporting personally the event, giving tutorials for beginners users and masterclass for more advanced users. Moreover, some sponsored projects are proposed; one of them would be directly presented in the National Hackathon of e-Health in June (http://laesalud.com/hackathonsalud/). For that, computational resources will be provided by QMENTA during the time between events. Please, check the complete programme at https://bit.ly/2qksqYG. Contact to jpmanzano at cnic.es if you would like to *submit a project *which will be realised during the event. Projects can be side projects, projects you were always interested in, but never had time to work on, new ideas you want to explore? You can now *register *for Madrid Brainhack Global 2018 by going to https://www.eventbrite.es/e/entradas-madrid-brainhack-global-2018-45013780429 . We hope to hear from you soon and, please, *feel free to forward this message to other colleagues whom might be interested!!* Best, J.P. Manzano on behalf of The Organization Committee of Madrid Brainhack Global 2018 -------------- next part -------------- An HTML attachment was scrubbed... URL: From odette.scharenborg at gmail.com Thu Apr 19 13:54:24 2018 From: odette.scharenborg at gmail.com (Odette Scharenborg) Date: Thu, 19 Apr 2018 11:54:24 -0600 Subject: Connectionists: Call for abstracts: 3rd International Workshop for Young Female Researchers in Speech Science & Technology (YFRSW-2018) Message-ID: Dear colleague, please distribute the call below to your female students (undergraduates and/or BA/BSc and MA/MSc students). Thank you, Odette Scharenborg ==== YFRSW-2018, Hyderabad, India, September 1, 2018 ==== 3rd International Workshop for Young Female Researchers in Speech Science & Technology (YFRSW-2018) Special event of Interspeech 2018, Hyderabad, India == Important Dates: - Abstract submission opens: 16 April 2018 - Abstract submission closes: 24 May 2018 - Notification of acceptance: 15 June 2018 - Registration deadline: 5 July 2018 - Workshop date: 1 September 2018 == Topic: The aim of this workshop is to bring women undergraduate and masters students, who are currently working in speech science and technology, together at a special event co-located with Interspeech 2018, Hyderabad, India. The workshop will take place on 1 September 2018 from 10am to 5pm followed by a dinner with invited senior members of the Interspeech community. It will feature panel discussions with senior female researchers in the field, student poster presentations and a mentoring session. The workshop is the third of its kind, after a successful inaugural event (YFRSW 2016) at Interspeech 2016 in San Francisco and the second event (YFRSW 2017) in Stockholm, Sweden. It is designed to foster interest in research in our field in women at the undergraduate or master level who have not yet committed to getting a PhD in speech science or technology areas, but who have had some research experience in their college and universities via individual or group projects. == Call for Participation Abstracts describing the student?s (planned) research (maximum of 300 words) should be submitted by email to yfrs.workshop at gmail.com by May 24, 2018. Abstracts will be reviewed by the committee and applicants will be notified by June 15, 2018. Emphasis will be on inclusivity although all submissions should be in the core scientific domains covered by Interspeech. == Preliminary Program: The workshop will include the following events: * A welcome breakfast with introductions (1h) * A panel of senior women talking about their own research and experiences as women in the speech community (1h) * A panel of senior students who work in the speech area to describe how they became interested in speech research (1h) * A poster session for the students to present their own research (2h) * A coaching session between students and senior women mentors (1h) * A networking lunch for students and senior women (1h) == Organizing committee: Amber Afshan (UCLA), Kay Berkling (Karlsruhe University), Heidi Christensen (University of Sheffield), Maxine Eskenazi (CMU), Milica Gasic (Cambridge University), Dilek Hakkani-T?r (Google Inc), Preethi Jyothi (IIT Bombay), Esther Klabbers (ReadSpeaker), Lori Lamel (LIMSI CNRS) Yang Liu (University of Texas Dallas) Karen Livescu (Toyota Technological Institute at Chicago), Pratibha Moogi (Samsung Electronics), Emily Mower Provost (University of Michigah), Catharine Oertel (EPFL) Bhuvana Ramabhadran (Google Inc), Odette Scharenborg (M*Modal), Elizabeth Shriberg (Ellipsis Health Inc), Isabel Trancoso (INESC-ID / Instituto Superior T?cnico) For further details, please see: https://sites.google.com/view/yfrsw2018/home From tony.belpaeme at plymouth.ac.uk Fri Apr 20 04:37:54 2018 From: tony.belpaeme at plymouth.ac.uk (Tony Belpaeme) Date: Fri, 20 Apr 2018 08:37:54 +0000 Subject: Connectionists: PhD position in social robotics and machine learning, Ghent University, Belgium Message-ID: ** PhD position in social robotics and machine learning** Ghent University, Belgium Artificial Intelligence and Robotics IDLab - imec Job description The AIRO group (Artificial Intelligence and Robotics) of the IDLab at Ghent University is looking for a PhD student to help with our research on social robotics and machine learning. Social robots are robots which interact with people in a natural manner by using speech, gestures, and facial expressions for example. As social robots use natural communication, they are easy to interact with and this knows many applications in entertainment, services, education, collaborative robotics and therapy. Now however, these robots are programmed by hand, as automatically generating verbal and nonverbal behaviour is still largely impossible. Our research aims to change that. The project will study how a robot can use generative deep learning to observe video recordings of people interacting with each other, and learn which behaviours are appropriate under which circumstances. The goal is to have the robot learn to produce verbal and non-verbal behaviour at a level where people think the robot is a worthy conversation partner. You will be supervised by Prof Tony Belpaeme (www.tonybelpaeme.me) together with Prof Francis wyffels and Prof Joni Dambre. You will be part of a new, vibrant and interdisciplinary research team, focusing on unconventional robotics, cognitive systems and machine learning. Ghent University (www.ugent.be) is a top 100 university in Belgium situated in the historical and trendy city of Ghent. With 41,000 students and 9,000 staff, the university is one of the largest universities in the wide region. Ghent University?s mission is to combine high-quality education with internationally leading research and a pluralistic social responsibility. You will join the AIRO group which is part of IDLab, a research lab consisting of more than 300 researchers developing today the tech of tomorrow. Profile of the candidate You must have an MSc degree in computer science, electrical engineering, technical cognitive science or areas relevant to the research topic. Good programming skills are a must (C++, Python, or other), training in machine learning is a bonus. You need a good command of English (spoken as well as written). The PhD position is highly interdisciplinary and requires an understanding and/or interest in psychology and social sciences. Further details: * The position starts on 1 October 2018 and runs for 4 years. * The net amount of the scholarship will be approximately ?1900 per month, increasing to ?2100 per month in the fourth year. You will also receive a holiday allowance and an end-of-year bonus, and will enjoy full social security cover. Additional financial support is available for attending conference and workshop. * You will be affiliated with the Artificial Intelligence and Robotics group of the IDLab. While the research will be based in Ghent, occasional travel to international conferences will be required. * You will be enrolled in the doctoral training programme offered by the Doctoral School of Engineering. * Ghent University encourages equal opportunities and will consider applications only based on your potential as an early career researcher. How to apply For informal queries, do not hesitate to contact Tony Belpaeme (tony.belpaeme at ugent.be). Your application should include 1. a letter motivating your application. 2. a CV, copies of relevant exams, grades, master thesis work or publications. 3. the names and contact details of at least 2 referees. Recommendation letter can be included with your application, but do not need to be at time of application. Applicants should send their application to tony.belpaeme at ugent.be. The application deadline is 31 May 2018. Selected candidates will be invited for interview, which can be organised over Skype if necessary. --------------------------- Prof Tony Belpaeme University of Ghent (Belgium) University of Plymouth (United Kingdom) IDLab, iGent Tower - Department of Electronics and Information Systems, Technologiepark Zwijnaarde 15, B-9052 Ghent, Belgium School of Computing, Electronics and Mathematics, A318 Portland Square, PL4 8AA Plymouth, United Kingdom E: tony.belpaeme at ugent.be / tony.belpaeme at plymouth.ac.uk W: http://tonybelpaeme.me T: @TonyBelpaeme ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif] This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. -------------- next part -------------- An HTML attachment was scrubbed... URL: From j.v.stone at sheffield.ac.uk Fri Apr 20 05:25:14 2018 From: j.v.stone at sheffield.ac.uk (James V Stone) Date: Fri, 20 Apr 2018 10:25:14 +0100 Subject: Connectionists: Bayes annd Information Theory ebooks Message-ID: These books are now available as ebooks: Information Theory: A Tutorial Introduction (plus report at https://arxiv.org/abs/1802.05968) Bayes? Rule: A Tutorial Introduction to Bayesian Analysis Bayes? Rule With MatLab Bayes? Rule With Python Bayes? Rule With R via Amazon and this web site: http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html All ebooks above are pdf files (my kindle books are essentially pdf files), and one (Bayes? Rule: A Tutorial Introduction to Bayesian Analysis) is available in re-flowable epub format from here: https://sebtel.selz.com/ (Getting the epub format to display equations correctly is tricky, which is why only one of my books has been produced in epub format). Finally, the following book will be published on 8th June 2018 (Crick's birthday) Principles of Neural Information Theory James V Stone -- Dr James V Stone Honorary Reader, Sheffield University, UK. http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html From marianne.clausel at univ-lorraine.fr Fri Apr 20 05:14:01 2018 From: marianne.clausel at univ-lorraine.fr (Marianne Clausel) Date: Fri, 20 Apr 2018 11:14:01 +0200 Subject: Connectionists: =?utf-8?q?PhD_Thesis_=3A_Towards_hybrid_and_expla?= =?utf-8?q?inable_recommender_systems_mixing_content_analysis_and_collabor?= =?utf-8?q?ative_filterings=2C_Project_OLKI_Lorraine_Universit=C3=A9_d=27E?= =?utf-8?q?xcellence=2C_France?= Message-ID: *General context* Over the last twenty years, an increasing attention has been paid to recommender systems, widely popularized by the Netflix Challenge. The main goal of a recommender system is to provide some users, with personalized products, taking into account their profile and preferences. Recent challenges are about the recommendation of products very complex to describe : jobs, partners... Their characteristics can mix heterogeneous features: quantitative (as ratings) and/or qualitative (as reviews). Moreover, new questions are emerging about explainability of algorithms. Nowadays, Artificial Intelligence algorithms are democratized in our erveyday life, and consumers want to understand the decision resulting from these algorithms (why this decision and not another one ?) as well as quantify the importance of each factor (element) in the decision process (which element is the most important/sensitive). They require more /explainability/ of AI algorithms. In addition, the new European legislation on data protection foresees to impose more /transparency/ to Artificial Intelligence algorithm. The law envisages to make compulsory the agreement of users for using personal data, which will reduce the amount of data that can be collected about users. The customer will also have? to be informed about the way their personal data is used. From the algorithms point of view, the decrease of data will impact the quality of the recommmendations. All these changes, will impact shortly and significantly the design of? algorithms. In this thesis, we aim at designing and implementing new explainable and transparent recommender systems for complex products, in the frame of data sparsity. *Scientific challenges and program* The challenges are four fold : - *Definition*, in a quantitative way, of the concept of transparency, and develop statistical methods to automatically quantify? the transparency degree of an algorithm. - *Classification* of recommender systems from the literature, from the transparency point of view and/or robustness degree with respect to missing data - *Conception* of new hybrid and explainable recommender systems, robust to sparse data. The products being complex, the heterogeneous descriptions of the products, as well as the multi-sources of information, will be used to construct understandable explanation. Especially,? natural language processing, and hybrid (content/social) approaches will be studied. The algorithms will also be able to quantify the weights and the sensitivity of each factor in the final decision. - *Constitution *of data sets, allowing to evaluate transparency of recommender systems *Application* \noindent The application should include a brief description of research interests and past experience, a CV, degrees and grades, a copy of Master thesis (or a draft thereof), motivation letter (short but pertinent to this call), relevant publications (if any), and other relevant documents. Candidates are encouraged to provide letter(s) of recommendation or contact information to reference persons. Please send your application *before 12 May 2018* in one single pdf to : armelle.brun at univ-lorraine.fr marianne.clausel at univ-lorraine.fr The application of the preselected candidates will be reviewed by the Doctoral School IAEM of University of Lorraine in June 2018 for completing the selection process. *Practical informations* *Duration: *3 years (full time position) *Starting date:*? October, 2018 *Supervisors* A. Brun, University of Lorraine/LORIA, France, https://members.loria.fr/ABrun/ M. Clausel, University of Lorraine/IECL, France, https://sites.google.com/site/marianneclausel/ *Working Environment* The PhD candidate will work between the Probability and Statistic team of the IECL lab and the KIWI Team of the LORIA lab which are two leading institutions, respectively in Mathematics and Computer Science in France. The two labs are both located at Nancy, France on the same campus. The Probability and Statistic team of IECL is working on interdisciplinary projects involving probabilistic modeling and inference methods, with a focus on many applications as textual datas, biology, spatial datas... The KIWI team of LORIA is a dynamic group working on recommender system and connected scientific domains over 20 researchers (including PhD students) and that covers several aspects of the subject from theory to applications, including statistical learning, data-mining, and cognitive science. *Location* :? Nancy, which is the capital of Lorraine in France, with excellent train connection to Luxembourg (1h30) and Paris (1h30). *Salary after taxes: *around 1600 euros. -------------- next part -------------- An HTML attachment was scrubbed... URL: From luigi.malago at gmail.com Fri Apr 20 05:03:53 2018 From: luigi.malago at gmail.com (=?UTF-8?Q?Luigi_Malag=C3=B2?=) Date: Fri, 20 Apr 2018 12:03:53 +0300 Subject: Connectionists: Postdoc position in Geometric Methods for Deep and Reinforcement Learning at RIST Message-ID: =========================================================== *Subject*: Postdoc position in Machine Learning (1 year, renewable up to 2.5 years) *Institution*: RIST - Romanian Institute of Science and Technology, Cluj-Napoca *Keywords*: Deep Learning, Reinforcement Learning, Stochastic Optimization, Optimization over Manifolds, Information Geometry, Riemannian Geometry *Application deadline*: 06 May 2018 (applicants are encouraged to apply earlier) *Salary*: around 2190 euro net *Official announcement*: http://rist.ro/en/details/news/postdoc-positio ns-in-deep-learning-and-machine-learning.html =========================================================== Dear colleagues, the Romanian Institute of Science and Technology (RIST) has an opening for a postdoc position, in the context of the DeepRiemann project ?Riemannian Optimization Methods for Deep Learning?, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 2.5 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group http://luigimalago.it/group.html, which performs research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired by 2018. The official job announcement can be seen here: http://rist.ro/en/details/news/postdoc-positions-in-deep- learning-and-machine-learning.html Informal inquiries can be sent to Dr. Luigi Malag? , principal investigator of the DeepRiemann project. Application deadline: 06 May 2018 (applicants are encouraged to apply earlier) best regards, Luigi Malag? -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.rovetta at unige.it Fri Apr 20 06:14:06 2018 From: stefano.rovetta at unige.it (Stefano Rovetta) Date: Fri, 20 Apr 2018 12:14:06 +0200 Subject: Connectionists: CFP - SETIT 2018 Message-ID: Dear all, the following is a wide-scope conference and I wish to invite contributions from the connectionists community. --------------------------------- S E T I T 2 0 1 8 The Eigth Conference on the Sciences of Electronics, Technologies of Information and Telecommunications Genoa, Italy, September 3-5, 2018 --------------------------------- The Conference covers all topics in the fields of information and communication technologies and related sciences. It aims to bring together researchers and developers from both academia and industry to report on the latest scientific and theoretical advances in their respective areas, fostering a cross-disciplinary dissemination that would be otherwise made difficult by the extreme specialization of each field. In today?s information-centered world, the relevance of hardware, software, telecommunications cannot be overestimated; even fields traditionally involved only marginally, like factory automation and production engineering, are currently discovering the value of data and information, with such trends as the Industry 4.0 or the exponential growth of machine learning and AI, and with all the consequent technological developments that are needed to support them. The Conference encourages submission of both theoretical advances and interesting applications, with special emphasis on (but not limited to) interdisciplinary works at the intersection of two or more of the areas covered. TOPICS - Information Processing: Machine Learning, Fuzzy Logic and Computational Intelligence, Data Mining, Information Fusion, Source Separation, Business Intelligence, Artificial intelligence - Human-machine Interaction: Model Driven Engineering, UX and Usability, Virtual, Mixed and Augmented Reality, Ubiquitous Computing Systems, Adaptive and Intelligent Systems, Social Network analysis - Computer Science: Algorithm and Theory, Programming Languages, Information Systems Management, High-performance computing, Intelligent e-Technology, Data Warehouse and Big Data, Quantum Computing - Telecommunications and Networks: Network Protocols, Wireless Sensor Networks, Networks and Cloud Computing, Security, Quality of Service and Resource Management, Internet Of Things, Vehicular Applications and Technologies - Signal Processing: Signal Detection, Estimation and Restoration, Statistical Signal Processing, Design and Implementation of Signal Processing, Audio, Acoustic, Speech and Biomedical Signal, Non-Stationary, Non-linear and Non-gaussian Signals, Modeling in Signals - Electronics: Electronic Integration, Circuits and Systems for Communications, Nanodevices and Nanosystems, Instrumentation Engineering, Embedded Systems, Power Electronics, Automatic Control of Power Plants - Image and Video: Image and Video Processing Technology, Compression, Coding and Implementation, Cryptology and Watermarking, Storage, Retrieval, and Authentication, Biomedical Image and Health, Multimedi Applications Important dates May 10 Paper submission Jun 20 Notification of acceptance Jul 01 Early registration Jul 15 Final paper upload Sep 03-05 CONFERENCE CONFERENCE PROCEEDINGS Proceedings of SETIT 2018 will published by an international publisher indexed in recognized bibliographic databases; more details will be provided shortly. The scientific program will include some invited talks and tutorials, as well as contributed papers that will be presented in oral or poster sessions. Chairs Stefano Rovetta, University of Genoa, Italy Med salim Bouhlel, Sfax University, Tunisia Scientific Secretariat Francesco Masulli, University of Genoa, Italy Alberto Cabri, University of Genoa, Italy Submission of contributions: Please submit your manuscript for peer review, no more than 8 pages long, on http://www.setit.rnu.tn/submission-modality.html Submission implies the willingness of at least one author per paper to register, attend the conference, and present the paper. From daniel.margulies at gmail.com Fri Apr 20 06:16:29 2018 From: daniel.margulies at gmail.com (Daniel Margulies) Date: Fri, 20 Apr 2018 12:16:29 +0200 Subject: Connectionists: 8th Annual Brain-Art Competition @ OHBM open for submissions! Message-ID: In order to recognize the beauty and creativity of artistic renderings emerging from the neuroimaging community, we are launching the eighth annual Brain-Art Competition. Countless hours are devoted to the creation of informative visualizations for communicating neuroscientific findings. The Brain-Art Competition aims to recognize this often unappreciated aspect of the publication process, and highlight the artistic creativity of our community. We are inviting researchers to submit their favorite unpublished works for entry. Both team and single-person entries are welcomed. The competition will have six award categories: 1. Best Representation of the Human Connectome 2. Best Abstract Brain Illustration 3. Best Humorous Brain Illustration 4. Best Video Illustration of the Brain 5. Updating classics 6. Special Topic: Comparative neuroanatomy The last two categories are new additions for the 2018 competition: "Updating classics" invites submissions that bring fresh ideas, data, and visualization techniques to famous illustrations from the neuroscience canon. With the increasing availability of non-human brain data, the special topic in "comparative neuroanatomy" invites submissions that address the visualization challenge of translating findings across species. How can cross-species information be more effectively be presented? Submission Deadline: 11:59PM CDT, Wednesday, June 6th, 2018 Award Notification: Monday, June 18th, 2018 For more information, check out the competition details: http://www. neurobureau.org/brainart/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From iturria.medina at gmail.com Fri Apr 20 07:01:51 2018 From: iturria.medina at gmail.com (Yasser Iturria Medina) Date: Fri, 20 Apr 2018 11:01:51 +0000 Subject: Connectionists: Neuroinformatic Positions In-Reply-To: References: Message-ID: Dear Madam/Sir, I kindly request your help for posting two available position in neuroinformatics and brain computational modeling. I will sincerely appreciate if you could send, using your mailing list, the associated information (please see attached file). Thank you very much in advance. Yasser Iturria Medina, Assist. Prof., Montreal Neurological Institute McGill University Montreal, Canada H3A 2B4 Phone # 5143986447 Publications: http://scholar.google.com/citations?user=-aFepXoAAAAJ&hl=es -- Yasser Iturria Medina, PhD. McConnell Brain Imaging Centre Montreal Neurological Institute McGill University Montreal, Canada H3A 2B4 Phone # 5143986447 Home Page: http://yasseriturriamedina.weebly.com/ Publications: http://scholar.google.com/citations?user=-aFepXoAAAAJ&hl=es -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Advertising_NeuroPM_lab_2018.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 15598 bytes Desc: not available URL: From trentin at dii.unisi.it Fri Apr 20 09:15:12 2018 From: trentin at dii.unisi.it (Edmondo Trentin) Date: Fri, 20 Apr 2018 15:15:12 +0200 Subject: Connectionists: Deadline extension: ANNPR 2018 (Siena, Italy) - 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition Message-ID: <556bd812ebc158735d0958cd69a90ab9.squirrel@mailsrv.diism.unisi.it> 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018) September 19-21, 2018 DIISM, Universit? di Siena, Tuscany (Italy) URL: http://annpr2018.diism.unisi.it/ Sponsored by the International Association for Pattern Recognition (IAPR) *** The submission deadline is extended to May 15, 2018 *** New Important Dates Paper submission (extended): May 15, 2018 Notification of acceptance: June 15, 2018 Camera ready due: June 25, 2018 Early registration: June 30, 2018 Workshop: Sept. 19-21, 2018 (Wed to Fri) The Workshop proceedings will be published in the Springer LNAI series ANNPR 2018 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of interest include, but are not limited to: Methodological Issues - Supervised, partially supervised, and unsupervised learning - Feed-forward, recurrent, and competitive neural nets - Kernel machines - Hierarchical modular architectures and hybrid systems - Combination of neural networks and Hidden Markov models - Multiple classifier systems and ensemble methods - Probabilistic graphical models - Deep architectures Applications to Pattern Recognition - Image processing and segmentation - Handwritten recognition and Document analysis - Sensor-fusion and multi-modal processing - Feature extraction, dimensionality reduction - Clustering and vector quantization - Speech and speaker recognition - Data, text, and web mining - Bioinformatics/Cheminformatics ANNPR2018 is organized by the Technical Committee 3 (IAPR TC3) on Neural Networks & Computational Intelligence of the International Association for Pattern Recognition (IAPR). As such, we particularly encourage submissions that fit the Manifesto and the research directions of the TC3 (see http://iapr-tc3.diism.unisi.it/Research.html) Paper Submission: Perspective Authors shall submit their paper in Springer LNCS/LNAI format. Instructions for Authors, LaTeX templates, etc. are available at the Springer LNCS/LNAI web-site (see http://www.springer.com/it/computer-science/lncs/conference-proceedings-guidelines). The maximum paper length is 12 pages. Submission of a paper constitutes a commitment that, if accepted, at least one of the Authors will complete an early registration to the workshop. On-line submission via EasyChair will be made available in due time through the ANNPR2018 website. For more information, please visit us at: http://annpr2018.diism.unisi.it/ Do not hesitate to contact the ANNPR2018 Chairs for any inquiries. ANNPR2018 Chairs Luca Pancioni, Universit? di Siena, Italy Friedhelm Schwenker, Ulm University, Germany Edmondo Trentin, Universit? di Siena, Italy ----------------------------------------------- Edmondo Trentin, PhD Dip. Ingegneria dell'Informazione e Scienze MM. V. Roma, 56 - I-53100 Siena (Italy) E-mail: trentin at dii.unisi.it Voice: +39-0577-234636 Fax: +39-0577-233602 WWW: http://www.dii.unisi.it/~trentin From malin.sandstrom at incf.org Fri Apr 20 07:22:07 2018 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Fri, 20 Apr 2018 13:22:07 +0200 Subject: Connectionists: Call for INCF SIG meetings on Aug 8, just before Neuroinformatics 2018 in Montreal Message-ID: Dear all, INCF is calling for community proposals for Special Interest Group meetings to be held in Montreal on August 8, the day before the 2018 Neuroinformatics Congress . More information: https://www.incf.org/activities/standards-and-best-practices/incf-special-interest-groups SIGs who meet will be provided with free meeting space, coffee breaks and lunch. Please submit your proposals for themes no later than *May 7*. Note that the submitter is assumed to also be the meeting leader, unless otherwise stated. SIGs meeting in Montr?al should ideally aim to form one or more working groups and work toward suggestions of new standards and best practices . INCF will support approved working groups with meeting logistics at INCF-associated meetings during the upcoming year, and offers SIGs and their working groups the possibility to apply for targeted seed funding for their standards and best practices-related projects and activities. Any questions can be directed to me (malin at incf.org) or to Mathew Abrams ( mathew at incf.org). -- Malin Sandstr?m, PhD Community Engagement Officer malin.sandstrom at incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels v?g 15 A SE-171 77 Stockholm Sweden http://www.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From luca.oneto at unige.it Fri Apr 20 13:18:58 2018 From: luca.oneto at unige.it (Luca Oneto) Date: Fri, 20 Apr 2018 19:18:58 +0200 Subject: Connectionists: INNSBDDL2019 - 1st Call For Paper / Workshop / Tutorials Message-ID: Apologies for cross-posting. Kindly help to distribute this call to your mailing list. INNS BIG DATA AND DEEP LEARNING 2019 SESTRI LEVANTE, GENOA, ITALY, 16-18 APRIL 2019 HTTPS://INNSBDDL2019.ORG/ WEBSITE https://innsbddl2019.org/ VENUE & ORGANIZATION The 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) conference will be held in Sestri Levante, Italy, April 16?18, 2019. The conference is organized by the International Neural Network Society, with the aim of representing an international meeting for researchers and other professionals in Big Data, Deep Learning and related areas. It will feature invited plenary talks by world-renowned speakers in the area, in addition to regular and special technical sessions with oral and poster presentations. Moreover, workshops and tutorials will also be featured. IMPORTANT DATES Deadline for submission of tutorial and workshop proposals: August 31, 2018 Notification of tutorial and workshop proposals: September 30, 2018 Deadline of full paper submission: October 31, 2018 Notification of paper acceptance: December 31, 2018 Camera-ready submission: January 31, 2019 Early registration deadline: December 31, 2018 Registration deadline: January 31, 2019 Conference date: April 16-18, 2019 SCOPE We solicit both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations in any aspect of Big Data and Deep Learning. Both theoretical and practical results are welcome. Example topics of interest includes but is not limited to the following: Big Data Science and Foundations - Novel Theoretical Models for Big Data - New Computational Models for Big Data - Data and Information Quality for Big Data Big Data Mining - Social Web Mining - Data Acquisition, Integration, Cleaning, and Best Practices - Visualization Analytics for Big Data - Computational Modeling and Data Integration - Large-scale Recommendation Systems and Social Media Systems - Cloud/Grid/StreamData Mining - Big Velocity Data - Link and Graph Mining - Semantic-based Data Mining and Data Pre-processing - Mobility and Big Data - Multimedia and Multi-structured Data-Big Variety Data Modern Practical Deep Networks - Deep Feedforward Networks - Regularization for Deep Learning - Optimization for Training Deep Models - Convolutional Networks - Sequence Modeling: Recurrent and Recursive Nets - Practical Methodology Deep Learning Research - Linear Factor Models - Autoencoders - Representation Learning - Structured Probabilistic Models for Deep Learning - Monte Carlo Methods - Confronting the Partition Function - Approximate Inference - Deep Generative Models PROCEEDINGS & SPECIAL ISSUE Works submitted as a regular paper will be published in a serie indexed by Scopus. Submitted papers will be reviewed by some PC members based on technical quality, relevance, originality, significance and clarity. At least one author of an accepted submission should register to present their work at the conference. Selected papers presented at INNS BDDL 2019 will be included in special issues of top journals in the field (prospected journals: Big Data Research, Transaction on Neural Networks and Learning System, Neurocomputing, etc). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Flyer.pdf Type: application/pdf Size: 441983 bytes Desc: not available URL: From fjaekel at uos.de Fri Apr 20 15:07:08 2018 From: fjaekel at uos.de (=?utf-8?q?Frank_J=C3=A4kel?=) Date: Fri, 20 Apr 2018 21:07:08 +0200 Subject: Connectionists: =?utf-8?q?KogWis2018_in_Darmstadt_=28Deadline=3F?= =?utf-8?b?PT0/dXRmLTg/cT8gRXh0ZW5zaW9uKQ==?= Message-ID: <28c1-5ada3a80-f-6efbc380@26449675> KogWis 2018: 14th Biannual Conference of the German Cognitive Science Society Centre for Cognitive Science, Technische Universit?t Darmstadt S1|05: H?rsaal 122, Maschinenhaus, Magdalenenstra?e 12 Darmstadt, Germany, September 3-6, 2018 http://www.tu-darmstadt.de/kogwis2018 ***** By popular demand, the submission deadline for abstracts has been extended to May 1st. ***** ***** Also, please note the call for Tutorials and Symposia at the end of this mail. ***** ***** GK Best Paper award, GK Best Poster awards, and Student Travel awards announced. ***** KogWis 2018 will be held in Darmstadt, Germany, and invites submissions of extended abstracts on current work in cognitive science. Generally all topics related to cognitive science are welcome. Contributions that address the focus of this meeting, that is, computational cognitive science are particularly encouraged. Computational approaches to cognitive science emphasize formalizing adaptive and intelligent behavior and have strong ties to machine learning and artificial intelligence. Confirmed keynote speakers: Frances Egan (Rutgers University) Noah Goodman (Stanford University) Mate Legyel (University of Cambridge) Iris van Rooij (Radboud University Nijmegen) Christopher Summerfiled (University of Oxford) Call for Presentations and Posters We call for extended abstracts for oral presentations and for posters. Submissions should be written in English, and be formatted according to the formatting guidelines below. Contributions must be submitted by 20 April 2018 via the EasyChair submission webpage: https://easychair.org/conferences/?conf=kogwis2018 All submissions will be peer-reviewed by members of the review committee. Acceptance will be based on novelty of research, significance of results, and quality of presentation. Accepted abstracts will be published in the online conference proceedings. All accepted contributions must be presented at the conference. So at least one author must register by the early registration deadline or the contribution will not be included in the program. The best submissions to KogWis 2018 will be selected for oral presentation at the conference. Call for Symposia Submission is now open for proposals for symposia to be presented at KOGWIS2018. The deadline for submitting a symposium proposals is May 11th, 2018. A symposium should involve several presenters, typically 4-5, organized around a topic of interest. Symposia may be on any topic in cognitive science. The KOGWIS program committee will strive for quality, variety, innovation, and diversity of the program; special emphasis will be put on this year's topic: computational approaches to cognitive science. Please submit proposals for a symposium directly as a single abstract for the symposium topic. On the second page of the abstract, please list the speakers who will be participating in the symposium and the title of their contributions. Send the the two page abstract via e-mail with the subject "Symposium proposal" directly to: kogwis2018 at cogsci.tu-darmstadt.de Call for Tutorials We invite proposals for tutorials to be held at KOGWIS2018. The KOGWIS program committee is interested in tutorials that disseminate information to conference attendees on recently emerging topics and trends as well as foundation topics, provide surveys of complementary techniques to those commonly studied in cognitive science, and inform attendees on the state-of-the-art within the field. We encourage submissions of proposals on topics in the general areas of cognitive science but particularly encourage tutorials on computational approaches to cognitive science. Please submit proposals for a tutorial directly as one abstract for the tutorial topic according to the same guidelines as regular abstracts via e-mail with the subject "Tutorial proposal" directly to: kogwis2018 at cogsci.tu-darmstadt.de GK Best Paper Award (2016-2018) The GK Best Paper Award is awarded for the best publication in cognitive science by a young investigator whose PhD has been awarded within the last three years or who is still earning a PhD. Applications are accepted for peer reviewed papers, which have been accepted for publication or have been published since May 2016. Applications should be submitted by June 1st 2018 via e-mail to the head of the GK (vs1 at gk-ev.de)? and include a single PDF document with: - the published paper, -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Sat Apr 21 06:00:39 2018 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Sat, 21 Apr 2018 12:00:39 +0200 Subject: Connectionists: ** EXTENDED DEADLINE** CfP Key Enabling Technologies for Virtual Factories (KET4VF) Message-ID: <7418ccca-596e-b8b4-6032-18d3c81a47cb@unimore.it> CALL FOR PAPERS Key Enabling Technologies for Virtual Factories (KET4VF) http://didattica.agentgroup.unimore.it/KET4VF18/ Invited session at 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES) Belgrade, Serbia, September 3-5 2018 http://kes2018.kesinternational.org ******* EXTENDED DEADLINES Abstract registration & full paper submission: ?? May 2, 2018 (23:59 CEST) Authors Notification: ?? May 21, 2018 ******* Scope and Overview ================== The manufacturing industry is entering a new era in which new ICT technologies and collaboration applications will be integrated with traditional manufacturing practices and processes to increase flexibility and sustainability in manufacturing, mass customization, increase automation, better quality and to improve productivity. The virtual factory paradigm plays a key role in the achievement of these objectives. A virtual factory is defined as a multi-layered integration of the information related to various activities along the factory and product lifecycle manufacturing related resources. A central aspect of a virtual factory is that of enabling the product lifecycle stakeholders to collaborate through the use of software solutions. The virtual factory thus expands outside the actual company boundaries and offers the opportunity for the business and its suppliers to collaborate on business processes that affect the supply chain. This session seeks at providing the opportunity for inspiration and cross-fertilization for the research groups working on technological solutions for virtual factories. It will welcome innovative papers from academic and industrial researchers covering a wide range of topics of interests in the computer science and computer engineering fields. The topics include but are not limited to: - Cloud computing - Big data architectures - Real-time systems - Data analytics - Digital Security, Privacy and Liability - Digital Platform Interoperability - Service-Oriented Architectures - Multi-agent systems - Business Process Management - Internet-of-things Important dates =============== - Paper Submission May 2, 2018 (23:59 CEST) - Extended - Notification May 21, 2018 - Camera Ready May 28, 2018 - Session September 3-5, 2018 Submission ========== Papers are expected to be 8 to 10 pages (maximum) in the conference format. Accepted papers will be published in Elsevier's Procedia Computer Science open access journal (available in ScienceDirect and submitted to be indexed/abstracted in CPCI, Engineering Index, and Scopus - to be confirmed). Details, guides and templates can be found in the KES submission instruction page: http://kes2018.kesinternational.org/submission.php Chairs ====== - Federica Mandreoli, Universit? degli Studi di Modena e Reggio Emilia, Italy, Email: federica.mandreoli at unimore.it - Giacomo Cabri, Universit? degli Studi di Modena e Reggio Emilia, Italy, Email: giacomo.cabri at unimore.it This session is supported by Marie-Curie RISE Project "FIRST: vF Interoperation suppoRting buSiness innovation" -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From torcini at gmail.com Sat Apr 21 06:42:17 2018 From: torcini at gmail.com (A. Torcini) Date: Sat, 21 Apr 2018 12:42:17 +0200 Subject: Connectionists: EXTENDED DEADLINE -- InSpire - New Insights on Complex Neural Dynamics - 6-8 June - Paris Message-ID: The deadline for registration has been extended to 20th May 2018 ================================================= The following workshop in (computational) neuroscience InSpire - New Insights on Complex Neural Dynamics will be held on June, 6th-8th, 2018, at Institut d'Etudes Avanc?s - Maison Internationale de la Recherche at Neuville-sur-Oise (30 minutes from Paris with public transports) https://inspire2018parisseine.wordpress.com/ The workshop will represent an opportunity to bring together views from experimental and computational neuro-scientists as well as experts in the dynamics of complex systems. A common aim is to improve the knowledge of the mechanisms underlying neural activity in the brain. INVITED SPEAKERS: https://inspire2018parisseine.wordpress.com/page/ For registration, poster presentation and more details see here: https://inspire2018parisseine.wordpress.com/about/ extended deadline for registration: 20th MAY, 2018. The Organizers, Bruno Cessac, Antonio Politi, Marc Timme, and Alessandro Torcini -- From torcini at gmail.com Sat Apr 21 06:42:17 2018 From: torcini at gmail.com (A. Torcini) Date: Sat, 21 Apr 2018 12:42:17 +0200 Subject: Connectionists: EXTENDED DEADLINE -- InSpire - New Insights on Complex Neural Dynamics - 6-8 June - Paris Message-ID: The deadline for registration has been extended to 20th May 2018 ================================================= The following workshop in (computational) neuroscience InSpire - New Insights on Complex Neural Dynamics will be held on June, 6th-8th, 2018, at Institut d'Etudes Avanc?s - Maison Internationale de la Recherche at Neuville-sur-Oise (30 minutes from Paris with public transports) https://inspire2018parisseine.wordpress.com/ The workshop will represent an opportunity to bring together views from experimental and computational neuro-scientists as well as experts in the dynamics of complex systems. A common aim is to improve the knowledge of the mechanisms underlying neural activity in the brain. INVITED SPEAKERS: https://inspire2018parisseine.wordpress.com/page/ For registration, poster presentation and more details see here: https://inspire2018parisseine.wordpress.com/about/ extended deadline for registration: 20th MAY, 2018. The Organizers, Bruno Cessac, Antonio Politi, Marc Timme, and Alessandro Torcini -- From nicosia at dmi.unict.it Sun Apr 22 02:46:16 2018 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Sun, 22 Apr 2018 07:46:16 +0100 Subject: Connectionists: CfP: 4th International Conference on machine Learning, Optimization & Data science - LOD 2018 Call for Papers - Paper submission deadline: April 30, 2018 Message-ID: <20185_1524380161_w3M6tx5V020320_CAMGo8Er+y_g19=GYoMEaTm8BhMnSPvjdwg+7WkbFVqawLrvqMQ@mail.gmail.com> [Apologies if you receive multiple copies of this announcement] [Please kindly help forward it to potentially interested attendees] 4th International Conference on machine Learning, Optimization & Data science - LOD 2018 An Interdisciplinary Conference: Machine Learning, Optimization & Data Science without Borders SIAF Learning Village - Volterra (Pisa) Tuscany, September 13-16, 2018 https://lod2018.icas.xyz/ lod at icas.xyz KEYNOTE SPEAKERS ? J?rg Bornschein DeepMind, London, UK ? Peter Flach University of Bristol, UK - Editor-in-Chief of the Machine Learning Journal ? George Karypis University of Minnesota, USA ? Martin Ravetti Universidade Federal de Minas Gerais, Brasil ? Andrey Raygorodsky Moscow Institute of Physics and Technology, Russia ? Stephen Smale - Fields Medal University of California Berkeley, USA More Speakers TBA! ************************* CALL FOR PAPERS ************************* Paper submission deadline: April 30, 2018 https://lod2018.icas.xyz/call-for-papers/ The LOD 2018 conference will consist of four days of main conference sessions. The 4th Annual Conference on machine Learning, Optimization and Data science (LOD) is a single-track machine learning, computational optimization, data science conference that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers. We invite submissions of papers, abstracts and posters on all topics related to Machine learning, Optimization and Big Data including real-world applications for the conference proceedings: https://lod2018.icas.xyz/call-for-papers/ Please prepare your paper in English using the Lecture Notes in Computer Science (LNCS) template, which is available http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 Papers must be submitted in PDF. LOD 2018 Types of Submissions When submitting a paper to LOD 2018, authors are required to select one of the following four types of papers: + Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format); + Short paper: an extended abstract of novel work (max. 4 pages); + Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference; + Work for poster presentation only. The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the conference. LOD 2018 Post-Proceedings All accepted long papers will be published in a volume of the series 'Lecture Notes in Computer Science' from Springer after the conference. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on. All the other papers (short papers, abstract of the oral presentations, poster presentations) will be published on the LOD 2018 web site. LOD 2018 Best Paper Springer sponsors the LOD 2018 Best Paper Award with a cash prize of EUR 1,000. LOD 2018 Submission System All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2018 DEADLINE: April 30, 2018 LOD 2018 Important Dates + Paper Submission Deadline: April 30, 2018 + Decision Notification to Authors: June 1st, 2018 + Camera Ready Submission Deadline: July 1st, 2018 + Deadline for early Registration as Presenting Author: July 1st, 2018 + Late registration: July 2 ? September 16, 2018 + On-Site registration: September 13-16, 2018 + LOD 2018 conference: September 13-16, 2018 LOD 2018 Registration https://lod2018.icas.xyz/registration/ LOD 2018 Program Committee The current LOD 2018 Program Committee includes about 300 Program Committee members: https://lod2018.icas.xyz/program-committee/ Any questions regarding the submission process can be sent to conference organizers: lod at icas.xyz We look forward to seeing you in Tuscany! LOD 2018 Chairs & Organizing Committee. https://lod2018.icas.xyz/ lod at icas.xyz MOD 2017 Keynote Speakers: Yi-Ke Guo, Imperial College London, UK. Founding Director of Data Science Institute Panos Pardalos, University of Florida, USA. Director of the Center for Applied Optimization Ruslan Salakhutdinov,Carnegie Mellon University, USA. Director of AI Research at Apple. My Thai, University of Florida, USA Jun Pei, Hefei University of Technology, China Vincenzo Sciacca, Cloud and Cognitive Division ? IBM Rome, Italy http://www.taosciences.it/mod/keynote-speakers/ MOD 2016 Keynote Speakers: Nello Cristianini, University of Bristol, UK George Michailidis, University of Florida, USA Stephen Muggleton, Imperial College London, UK Panos Pardalos, University of Florida, USA http://www.taosciences.it/mod-2016/keynote-speakers/ MOD 2015 Keynote Speakers: Vipin Kumar, University of Minnesota, USA Panos Pardalos, University of Florida, USA Tomaso Poggio, MIT, USA http://www.taosciences.it/mod-2015/MOD 2015 Best Paper Award of the Previous Editions: https://lod2018.icas.xyz/best-paper-award/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From navlakha at salk.edu Mon Apr 23 00:35:51 2018 From: navlakha at salk.edu (Saket Navlakha) Date: Sun, 22 Apr 2018 21:35:51 -0700 Subject: Connectionists: Biological Distributed Algorithms 2018 --- generous travel support available! Message-ID: ================================================================ The 6th Workshop on Biological Distributed Algorithms (BDA 2018) July 23, 2018 in London, UK. Co-located with PODC 2018 http://www.snl.salk.edu/~navlakha/BDA2018/ ================================================================ NOTE: Travel funding available for all presenters. Please submit by May 5th. We are excited to announce the 6th workshop on Biological Distributed Algorithms (BDA). The aim of the workshop is to foster collaborative research between biologists and distributed computing theory researchers, with the hope of producing better understanding of the behavior of distributed biological systems, as well as new ideas for design of algorithms for engineered or computational networks. BDA 2018 will include presentations on distributed algorithms related to a variety of biological systems, with special attention to communication and coordination in insect colonies (e.g. foraging, navigation, task allocation, construction) and networks in the brain (e.g. learning, decision-making, attention). This is a one-day workshop. =========== SUBMISSIONS =========== We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and an extended abstract of at most 4 pages. Please use the following EasyChair submission link: https://easychair.org/conferences/?conf=bda20183 Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues. ============== TRAVEL SUPPORT ============== This year, we will provide financial support for all our presenters. Specifically, for each selected presentation, we will pay for an economy class return flight/train to London (up to 1,000 EUR) and reimburse the workshop registration fee of one author. =============== IMPORTANT DATES =============== May 5, 2018 ? Extended abstract submission deadline May 26, 2018 ? Decision notifications July 23, 2018 ? Workshop =============================== INVITED (PRE-SELECTED) SPEAKERS =============================== Luca Cardelli, Microsoft Research Roderich Gross, U Sheffield Ana Sendova-Franks, UWE Bristol Damien Woods, Inria (more to come) ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph, CMU Anna Dornhaus, University of Arizona Yuval Emek, Technion Amos Korman, CNRS and University of Paris Diderot Nancy Lynch, MIT Melanie Moses, University of New Mexico Saket Navlakha, Salk Institute Merav Parter, Weizmann Andrea Richa, Arizona State University Nir Shavit, MIT ========================== ORGANIZERS (and PC CHAIRS) ========================== Yuval Emek, Amos Korman, and Saket Navlakha From mgalle at gmail.com Mon Apr 23 03:26:42 2018 From: mgalle at gmail.com (=?UTF-8?Q?Matthias_Gall=C3=A9?=) Date: Mon, 23 Apr 2018 09:26:42 +0200 Subject: Connectionists: NLP for GDPR: post-doc @ Naver Labs (France) Message-ID: If you have not yet heard about GDPR, you will probably do so in the coming weeks. If you are a NLP researcher, here a possibility of participating actively in that field, working in an exciting place in beautiful France: We are looking for a motivated researcher to join, at a post-doctoral level, a project on the automatic analysis of legal agreements (Terms of Use, informed consent, privacy and cookie policies, etc), in the context of the GDPR . The project will be performed together with an international consortium including data projection agencies, law schools, and other technical academic and industrial players; with funding from the European Commission as part of the H2020 framework programme. The selected candidate will perform her/his work inside the Natural Language Processing team, interacting with scientists from the team and beyond. *Requirements:* - Ph.D. in natural language processing (NLP) or machine learning. - Knowledge of latest developments in statistical and deep learning for information extraction from text - Good publication record in top-tier NLP, information retrieval or machine learning conferences. - Strong development skills, preferably in Python and knowledge of deep learning frameworks More information and application instructions here: http://www.europe.naverlabs.com/NAVER-LABS-Europe/Jobs/NLP-Researcher-Analysis-of-Legal-Agreements -- Matthias Gall? Senior Scientist and Group Lead (NLP) Naver Labs Europe -------------- next part -------------- An HTML attachment was scrubbed... URL: From dhallabhinav at gmail.com Mon Apr 23 02:38:01 2018 From: dhallabhinav at gmail.com (abhinav dhall) Date: Mon, 23 Apr 2018 12:08:01 +0530 Subject: Connectionists: [CFP] 6th Emotion Recognition in the Wild Challenge @ ACM ICMI 2018 Message-ID: Apologies for cross-postings --------------------------------------------- 2nd Call for challenge participation ---------------------------------------------- Train and Validation data are available! Sixth Emotion Recognition in the Wild (EmotiW) Challenge 2018 https://sites.google.com/view/emotiw2018 @ ACM International Conference on Multimodal Interaction 2018, Boulder, Colarado. --------------------------------------------------------------------- The sixth Emotion Recognition in the Wild (EmotiW) 2018 Grand Challenge consists of an all-day event with a focus on affective sensing in unconstrained conditions. There are three sub-challenges: engagement in the wild prediction sub-challenge, audio-video based emotion classification sub-challenge and image based group emotion recognition sub-challenge. *Challenge website*: https://sites.google.com/view/emotiw2018 *Contact email*: emotiw2014[AT]gmail.com *Timeline* Challenge website - January 2018 Train and validate data available - March 2018 Test data available - 8 June 2018 Last date for uploading the results - 23 June 2018 Paper submission deadline - 1 July 2018 Paper notification - 30 July 2018 Camera-ready papers - 8 August 2018 *Organizers* Abhinav Dhall (Indian Institute of Technology Ropar, India) Roland Goecke (University of Canberra, Australia) Jyoti Joshi Tom Gedeon (Australian National University, Australia) -- Abhinav Dhall, PhD Assistant Professor, Indian Institute of Technology, Ropar Webpage: https://goo.gl/5LrRB7 Google Scholar: https://goo.gl/iDwNTx -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.stein at fz-juelich.de Mon Apr 23 07:55:46 2018 From: a.stein at fz-juelich.de (Alexandra Stein) Date: Mon, 23 Apr 2018 13:55:46 +0200 Subject: Connectionists: DEADLINE APPROACHING: Valentino Braitenberg Award for Computational Neuroscience - Call for Nominations Message-ID: DEADLINE APPROACHING: The Bernstein Association for Computational Neuroscience invites nominations for the Valentino Braitenberg Award for Computational Neuroscience. The Bernstein Association for Computational Neuroscience presents the award biennially to a scientist in recognition of outstanding research that contributes to the understanding of the functioning of the brain. The major criterion for the award is the impact or potential impact of the recipient's research on the field of brain science. In the spirit of Valentino Braitenberg's own research, special emphasis is given to theoretical studies elucidating the functional implications of brain structures and their neuronal network dynamics. The awardee receives ?5.000 prize money, donated by the Autonome Provinz Bozen S?dtirol, as well as an invitation to the Bernstein Conference 2018 (including registration fee, travel- and accommodation expenses). The award will be presented together with a Golden Neuron pin in a special award ceremony at the Bernstein Conference, followed by a lecture of the Braitenberg Awardee. Nominations may be submitted by scientists working in the field of computational neuroscience and should include the following documents: - One-page laudation, in which the scientific work of the candidate is honored with regard to the award criteria - CV and list of publications Deadline for nominations is April 30, 2018 by email to a.stein at fz-juelich.de Please note that self-nominations are not permitted. The call for nominations can be found under the following URL: www.nncn.de/en/bernstein-conference/2018/braitenberg_award For inquiries please contact a.stein at fz-juelich.de. Best regards, Alexandra Stein -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein at fz-juelich.de web: www.bernstein-network.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Tue Apr 24 06:46:19 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 24 Apr 2018 13:46:19 +0300 Subject: Connectionists: 2018 European Conference on Ambient Intelligence (AmI 2018): Third Call for Papers Message-ID: *** THIRD CALL FOR PAPERS *** 2018 European Conference on Ambient Intelligence (AmI 2018) Golden Bay Beach Hotel, Larnaca, Cyprus, 12-14 November, 2018 http://www.cyprusconferences.org/ami2018 Ambient intelligence refers to normal working and living environments being surrounded by embedded devices that can merge unobtrusively and in natural ways using information and intelligence hidden in the network connecting these devices (e.g. The Internet of Things). Such devices, each specialised in one or more capabilities, are intended to work together based on an infrastructure of intelligent systems, to provide a variety of services improving safety, security and the quality of life in ordinary living, travelling and working environments. ABOUT AMI 2018 The 2018 European Conference on Ambient Intelligence (AmI 2018) has a focus on the role of Ambient Intelligence "Towards a Smart and Human Centered Internet of Things". We invite submissions of full and short papers as well as posters, presenting original research. AmI 2018 is an interdisciplinary venue for leading international researchers, designers, and practitioners that present and discuss new results in Ambient Intelligence. AmI builds on the success of thirteen predecessor conferences, which started in 2003 with the EUSAI-event in Veldhoven, The Netherlands. More information about the AmI series can be found here: http://ami-conferences.org . The Proceedings of AmI 2018 will be published by Springer in the Lecture Notes in Computer Science (LNCS) series. Furthermore, Springer will sponsor the Best Paper Award with 1,000 EUR. TOPICS AmI 2018 will revolve around the focus topic ?Towards a Smart and Human- Centred Internet of Things? that follows the vision of Calm Technology, where technology is useful but does not demand our full attention or interfere with our usual behavior and activities. Relevant research topics include, but are not limited to: ? Sensors and Actuators Networks ? Ambient Networking and Communication ? Mobile, Ubiquitous and Pervasive Computing ? Internet of Things and Interconnected devices ? Internet of Humans and Human Sensors ? Artificial Intelligence Models, Methods and Techniques ? Machine Learning, Data mining and Big Data ? Modelling Context Awareness and Location-based Services ? Agent Technologies and Multi-agent Platforms ? Cloud Computing for Intelligent Ambients ? Multimodal Human-Computer Interaction ? Virtual, Mixed and Augmented Reality ? Symmetric Interaction in Real and Virtual worlds ? Reliability, Assurance and Safety ? Security, Privacy and Trust ? Systems Architecture and Middleware ? Software Development Methodologies and Tools ? Robotic Companions ? Industrial Internet and Industry 4.0 ? Sustainability and Fair Trade ? Smart Homes and Intelligent buildings ? Energy Efficiency ? Ambient Assisted Living ? Healthcare and Well-being ? Smart Cities ? Connected Cars and Autonomous Driving ? Pervasive Games in Hybrid Worlds ? Ambient Intelligence Education ? Evaluation methods and techniques for Trials ? Citizen science, Living labs, Maker communities PAPER AND POSTER SUBMISSION Papers must be anonymized to facilitate blind review. Authors are encouraged to minimize any references that may reveal the identity of the authors and their institutions. Relevant references to an author's previous research should not be suppressed but instead referenced in a neutral way. All papers will be reviewed by at least three Program Committee members. The length of each paper including figures and references may not exceed 16 pages for regular papers and 6 pages for short papers. The posters session aims to collect papers showing work in progress and thus raise opportunities to present and discuss current work in an informal setting. These papers will be presented as posters in the conference. Poster contributions may not exceed 2 pages, including figures and references. For more information about what should be considered a regular, short or poster contribution, please refer to the conference web site. All paper and poster submissions must be written in English and submitted in PDF format. Submission of a paper or poster should be regarded as an undertaking that, should the paper or poster be accepted, at least one of the authors will attend the conference to present the work. For preparation of papers and posters please follow the instructions for authors available at the Springer LNCS Web page (http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines). Authors of full and short papers as well as posters are welcome to submit using the conference review system: https://easychair.org/conferences/?conf=ami2018 . This year's best paper awards are graciously sponsored by Springer with 1,000 EUR. SPECIAL ISSUE The authors of the best papers to be accepted at AmI 2018 will be invited to submit substantially extended and revised versions of their papers with at least 70% new material to a special journal issue for AmI 2018 to be published in the Journal of Ambient Intelligence and Humanised Computing, by Springer. IMPORTANT DATES ? Paper and Poster Submissions due: 17th June 2018 ? Notification of Acceptance/Rejection: 22nd July 2018 ? Camera-Ready Versions due: 29th July 2018 ? Author Registration: 5th August 2018 ORGANIZING COMMITTEE General Chair ? George Roussos, Birkbeck, University of London, UK Program Chairs ? Achilleas D. Kameas, Hellenic Open University, Greece ? Kostas Stathis, Royal Holloway, University of London, UK Workshops Chairs ? Ioannis Chatzigiannakis, University of Rome, Italy ? Fariba Sadri, Imperial College, UK Local Organization Chair ? George Angelos Papadopoulos, University of Cyprus, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From poirazi at imbb.forth.gr Tue Apr 24 09:48:31 2018 From: poirazi at imbb.forth.gr (Yiota Poirazi) Date: Tue, 24 Apr 2018 16:48:31 +0300 Subject: Connectionists: DENDRITES 2018: Early registration extended to May 1st! Message-ID: Dear friends and colleagues, due to several last minute requests, we have extended the early registration rates until *May 1st, 2018* To register without presenting, please click on the PAYMENT button. http://meetings.embo.org/event/18-dendrite We hope to see you in Crete in June! Yiota, Erin, Michael and Matthew -------------------------------------- DENDRITES 2018 EMBO Workshop on Dendritic Anatomy, Molecules and Function Heraklion, Crete, Greece 17-20 June 2018 *Organizing committee:* Yiota Poirazi, IMBB-FORTH Erin Schuman, MPI for Brain Research Michael H?usser, UCL Matthew Larkum, Humboldt University Submissions of abstracts are due by* February 22, **2018.* Notifications will be provided by *March 15, 2018. * Payment of registration fee:* March 31, 2018* *Speakers:* Alcino Silva, UCLA Arindam Basu, Nanyang Bartlett Mel, USC Bernardo Sabatini, Harvard David Dupret, Oxford Fritjof Helmchen, Zurich Jason Shepherd, Utah Jayeeta Basu, NYU Jeff Magee, Janelia Johannes Letzkus, MPI for Brain Research Johannes Schemmel, Heidelberg Julie Grollier, CNRS Kim Tolias, Baylor Kristen Harris, Austin Lucy Palmer, Melbourne Masanori Murayama, RIKEN Michael H?usser, UCL Nathalie Rochefort, Edinburgh Panayiota Poirazi, FORTH Tatjana Tchumatchenko, MPI for Brain Research Tim Lillicrap, DeepMind Tim Vogels, Oxford Valentin N?gerl, Bordeaux Walter Senn, Bern -- Panayiota Poirazi, Ph.D. Research Director Computational Biology Laboratory Institute of Molecular Biology and Biotechnology (IMBB) Foundation of Research and Technology-Hellas (FORTH) Vassilika Vouton, P.O.Box 1385, GR 70013, Heraklion, Crete GREECE Tel: +30 2810 391139 Fax: +30 2810 391101 ?mail: poirazi at imbb.forth.gr Lab site: www.dendrites.gr FENS-Kavli Network of Excellence -------------- next part -------------- An HTML attachment was scrubbed... URL: From mlsp at neuro.kuleuven.be Wed Apr 25 08:10:26 2018 From: mlsp at neuro.kuleuven.be (2018 IEEE International Workshop on Machine Learning fo Signal Processing) Date: Wed, 25 Apr 2018 14:10:26 +0200 Subject: Connectionists: call for papers - extended deadlline - MLSP2018 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING In-Reply-To: <91eeb534-04bd-d9fb-411f-b54835d36966@neuro.kuleuven.be> References: <91eeb534-04bd-d9fb-411f-b54835d36966@neuro.kuleuven.be> Message-ID: <5086eeab-e97f-c664-17c5-b6291cd4549a@neuro.kuleuven.be> MLSP2018 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING September 17-20, 2018 Aalborg, Denmark MLSP2018.CONWIZ.DK FINAL CALL FOR PAPERS Paper submission deadline May 14, 2018 Paper update deadline May 17, 2018 The 28th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, as well as special and regular single-track sessions. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: - Learning theory and modeling - Neural networks and deep learning - Bayesian Learning and modeling - Sequential learning; sequential decision methods - Information-theoretic learning - Graphical and kernel models - Bounds on performance - Source separation and independent component analysis - Signal detection, pattern recognition and classification - Tensor and structured matrix methods - Machine learning for big data - Large scale learning - Dictionary learning, subspace and manifold learning - Semi-supervised and unsupervised learning - Active and reinforcement learning - Learning from multimodal data - Resource efficient machine learning - Cognitive information processing - Bioinformatics applications - Biomedical applications and neural engineering - Speech and audio processing applications - Image and video processing applications - Intelligent multimedia and web processing - Communications applications - Other applications including social networks, games, smart grid, security and privacy KEYNOTE SPEAKERS - Senior researcher C?dric F?votte, CNRS, Toulouse, France - Distinguished Scientist and Vice General Manager, Dong Yu, Tencent AI Lab, Seattle, USA - Prof. Max Welling, the University of Amsterdam, the Netherlands. INDUSTRIAL KEYNOTE SPEAKER - Data Science Evangelist Kaare Brandt Petersen, Implement Consulting Group, Copenhagen, Denmark TUTORIAL SPEAKERS - Prof. Simo S?rkk?, Aalto University, Helsinki, Finland - Prof. Lars Kai Hansen, Technical University of Denmark, Denmark DATA ANALYSIS AND SIGNAL PROCESSING COMPETITION MLSP2018 seeks proposals for Data Analysis and Signal Processing Competition. The goal of competition is to advance the current state-of-the-art in theoretical and practical aspects of signal processing domains. SPECIAL SESSION A call for contributions to the Special Session on Disruptive research in anti-spoofing for automatic speaker identification is launched in addition to the traditional MLSP sessions. BEST STUDENT PAPER AWARD The MLSP Best Student Paper Award will be granted to the best paper for which a student is the principal author and presenter. NETWORKING MLSP Networking will be organized as a new initiative to focus on stimulating collaboration among participants to solve grand societal challenges using machine learning and signal processing. PAPER SUBMISSION Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure at http://mlsp2018.conwiz.dk. Accepted papers will be published on a password-protected website that will be available during the workshop. The presented papers will be published in and indexed by IEEE Xplore. IMPORTANT DATES AND DEADLINES: Paper submission deadline May 14, 2018 Paper update deadline May 17, 2018 Review notification June 18, 2018 Rebuttal period June 18-24, 2018 Reviewer discussion period June 25-30, 2018 Decision notification July 6, 2018 Camera-ready papers and Author advance registration July 31, 2018 ORGANIZING COMMITTEE: General Chair: Zheng-Hua Tan, Aalborg University, Denmark Program Chairs: Nelly Pustelnik, ENS Lyon, France Zhanyu Ma, Beijing University of Posts and Telecommunications, China Finance Chair: B?rge Lindberg, Aalborg University, Denmark Data Competition Chairs: Karim Seghouane, University of Melbourne, Australia Yuejie Chi, Ohio State University, USA Publicity and Social Media Chairs: Marc Van Hulle, KU Leuven, Belgium Jen-Tzung Chien, National Chiao Tung University, Taiwan Web and Publication Chair: Jan Larsen, Technical University of Denmark, Denmark Advisory Committee: S?ren Holdt Jensen, Aalborg University, Denmark Theodoridis Sergios, University of Athens, Greece Raviv Raich, Oregon State University, USA Vince Calhoun, University of New Mexico, USA From mlsp at NEURO.KULEUVEN.BE Wed Apr 25 08:10:26 2018 From: mlsp at NEURO.KULEUVEN.BE (2018 IEEE International Workshop on Machine Learning fo Signal Processing) Date: Wed, 25 Apr 2018 14:10:26 +0200 Subject: Connectionists: call for papers - extended deadlline - MLSP2018 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING In-Reply-To: <91eeb534-04bd-d9fb-411f-b54835d36966@neuro.kuleuven.be> References: <91eeb534-04bd-d9fb-411f-b54835d36966@neuro.kuleuven.be> Message-ID: <5086eeab-e97f-c664-17c5-b6291cd4549a@neuro.kuleuven.be> MLSP2018 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING September 17-20, 2018 Aalborg, Denmark MLSP2018.CONWIZ.DK FINAL CALL FOR PAPERS Paper submission deadline May 14, 2018 Paper update deadline May 17, 2018 The 28th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, as well as special and regular single-track sessions. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: - Learning theory and modeling - Neural networks and deep learning - Bayesian Learning and modeling - Sequential learning; sequential decision methods - Information-theoretic learning - Graphical and kernel models - Bounds on performance - Source separation and independent component analysis - Signal detection, pattern recognition and classification - Tensor and structured matrix methods - Machine learning for big data - Large scale learning - Dictionary learning, subspace and manifold learning - Semi-supervised and unsupervised learning - Active and reinforcement learning - Learning from multimodal data - Resource efficient machine learning - Cognitive information processing - Bioinformatics applications - Biomedical applications and neural engineering - Speech and audio processing applications - Image and video processing applications - Intelligent multimedia and web processing - Communications applications - Other applications including social networks, games, smart grid, security and privacy KEYNOTE SPEAKERS - Senior researcher C?dric F?votte, CNRS, Toulouse, France - Distinguished Scientist and Vice General Manager, Dong Yu, Tencent AI Lab, Seattle, USA - Prof. Max Welling, the University of Amsterdam, the Netherlands. INDUSTRIAL KEYNOTE SPEAKER - Data Science Evangelist Kaare Brandt Petersen, Implement Consulting Group, Copenhagen, Denmark TUTORIAL SPEAKERS - Prof. Simo S?rkk?, Aalto University, Helsinki, Finland - Prof. Lars Kai Hansen, Technical University of Denmark, Denmark DATA ANALYSIS AND SIGNAL PROCESSING COMPETITION MLSP2018 seeks proposals for Data Analysis and Signal Processing Competition. The goal of competition is to advance the current state-of-the-art in theoretical and practical aspects of signal processing domains. SPECIAL SESSION A call for contributions to the Special Session on Disruptive research in anti-spoofing for automatic speaker identification is launched in addition to the traditional MLSP sessions. BEST STUDENT PAPER AWARD The MLSP Best Student Paper Award will be granted to the best paper for which a student is the principal author and presenter. NETWORKING MLSP Networking will be organized as a new initiative to focus on stimulating collaboration among participants to solve grand societal challenges using machine learning and signal processing. PAPER SUBMISSION Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure at http://mlsp2018.conwiz.dk. Accepted papers will be published on a password-protected website that will be available during the workshop. The presented papers will be published in and indexed by IEEE Xplore. IMPORTANT DATES AND DEADLINES: Paper submission deadline May 14, 2018 Paper update deadline May 17, 2018 Review notification June 18, 2018 Rebuttal period June 18-24, 2018 Reviewer discussion period June 25-30, 2018 Decision notification July 6, 2018 Camera-ready papers and Author advance registration July 31, 2018 ORGANIZING COMMITTEE: General Chair: Zheng-Hua Tan, Aalborg University, Denmark Program Chairs: Nelly Pustelnik, ENS Lyon, France Zhanyu Ma, Beijing University of Posts and Telecommunications, China Finance Chair: B?rge Lindberg, Aalborg University, Denmark Data Competition Chairs: Karim Seghouane, University of Melbourne, Australia Yuejie Chi, Ohio State University, USA Publicity and Social Media Chairs: Marc Van Hulle, KU Leuven, Belgium Jen-Tzung Chien, National Chiao Tung University, Taiwan Web and Publication Chair: Jan Larsen, Technical University of Denmark, Denmark Advisory Committee: S?ren Holdt Jensen, Aalborg University, Denmark Theodoridis Sergios, University of Athens, Greece Raviv Raich, Oregon State University, USA Vince Calhoun, University of New Mexico, USA From george at cs.ucy.ac.cy Wed Apr 25 08:51:24 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Wed, 25 Apr 2018 15:51:24 +0300 Subject: Connectionists: 2018 European Conference on Ambient Intelligence (AmI 2018): Last Call for Workshop Proposals In-Reply-To: References: Message-ID: <0AF0011E-20E7-4B73-9F01-29E6F43CB344@cs.ucy.ac.cy> *** LAST CALL FOR WORKSHOP PROPOSALS *** 2018 European Conference on Ambient Intelligence (AmI 2018) Golden Bay Beach Hotel, Larnaca, Cyprus, 12-14 November, 2018 http://www.cyprusconferences.org/ami2018 *** Deadline for proposals: 1 May 2018 *** Ambient intelligence refers to normal working and living environments being surrounded by embedded devices that can merge unobtrusively and in natural ways using information and intelligence hidden in the network connecting these devices (e.g. The Internet of Things). Such devices, each specialised in one or more capabilities, are intended to work together based on an infrastructure of intelligent systems, to provide a variety of services improving safety, security and the quality of life in ordinary living, travelling and working environments. The 2018 European Conference on Ambient Intelligence (AmI 2018) has a focus on the role of Ambient Intelligence "Towards a Smart and Human Centered Internet of Things". The workshops at AmI2018 will enhance and complement the conference program by providing an opportunity to present new or emerging and cutting-edge topics of particular interest in the field and related areas. We invite workshop proposals in any topic(s) of interest to Ambient Intelligence and related to the conference. Each workshop proposal should be emailed to the two workshop chairs, and should contain the following information: ? workshop title, ? duration (half day or full day), ? a description of the specific scientific/technical scope of the workshop, ? a list of topics of interest, ? the reasons why the workshop should be held within AmI2018, ? details of all the members of the Organizing Committee (OC), ? relevant experience of the organizers, ? identification of the member of the OC who is the contact person, ? the list of members of Workshop Program Committee, ? a preliminary version of the Call for Papers, ? the proposed structure of the workshop, ? planned forms of publicity and publication plans (if any, or if they want to publish in the collective volume, see below). Workshop Acceptance Rules The decision on which proposed workshops get accepted will be carried-out through a two-stage process. Initially some of the workshops proposed will be short-listed, based on the quality of the proposal and the relevance of the topics covered. These workshops will later be confirmed at the Final Selection Stage if they have successfully attracted a sufficient number of reasonable quality submissions and the corresponding number of registrations for these submissions. Indicative numbers: half-day workshops should have at least 5 registrations and full day workshops should have at least 10. If necessary, workshops will be merged to provide a viable programme. Financial Support Some degree of financial support may be given to the workshop organizers, dependent on the success of the workshop. Important Dates ? Receipt of workshop proposals: 1 May 2018 ? Shortlist of stage 1 accepted workshops: 20 May 2018 ? Workshop CfPs and Websites: 31 May 2018 ? Workshop Chairs to receive papers from authors: 1 September 2018 ? Workshop author registration 30 September 2018 ? Accepted workshops stage 2: 15 October 2018 ? Workshop day: 12 November 2018 Proceedings Accepted workshops can follow their own publication path, provided that they acknowledge AmI2018 in the publication and inform the workshop and conference organizers. For workshops that are interested, collective proceedings can be published in CEUR. Workshops Chairs Ioannis Chatzigiannakis (Sapienza University of Rome, Italy) ichatz at diag.uniroma1.it Fariba Sadri (Imperial College London, UK) f.sadri at imperial.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From mvzaanen at uvt.nl Wed Apr 25 10:21:04 2018 From: mvzaanen at uvt.nl (Menno van Zaanen) Date: Wed, 25 Apr 2018 16:21:04 +0200 Subject: Connectionists: ASSISTANT PROFESSOR POSITION IN EDUCATIONAL TECHNOLOGY Message-ID: <86477_1524666075_w3PELBRi087979_20180425142104.b45nvcvd6pcnjhug@pinball.uvt.nl> ASSISTANT PROFESSOR POSITION IN EDUCATIONAL TECHNOLOGY (1,0 fte) Please see: https://tiu.nu/13424 The Department of Cognitive Science and Artificial Intelligence of the Tilburg School of Humanities and Digital Sciences, is looking for an enthusiastic colleague for the position of Assistant Professor in the field of Educational Technology. The candidate is expected to initiate and conduct fundamental and applied research in Educational Technology, as well as contribute to teaching in the Bachelor program Cognitive Science & Artificial Intelligence and the Master??s program Cognitive Science & Artificial Intelligence. Researchers in the Department of Cognitive Science and Artificial Intelligence have access to a computer cluster with GPU computing capability, experimental lab facilities, a robotics lab, as well as virtual reality and sensing technologies. The department plays an important role in Mind Labs (www.mind-labs.eu), an initiative which fosters collaborations between knowledge institutions and corporations in the field of interactive technologies and behavior. PROFILE The position calls for an ambitious scientist with experience in both teaching and research. The successful candidate * has a PhD and a publication record in a domain including but not limited to educational technology, learning analytics, human technology interaction, virtual and augmented reality for educational and training purposes, cognitive science, and artificial intelligence; * has a strong record in developing and teaching Bachelor and (Research) Master courses, and experience with supervising Bachelor and Master??s theses; * has the ability to acquire external funding for research; * has the ability to work in an interdisciplinary team; * has the ability to communicate fluently in English; * has acquired or is willing to acquire the University Teaching Qualification (UTQ). TERMS OF EMPLOYMENT The position will be ranked in the Dutch university job ranking system (UFO) as assistant professor (??universitair docent??). The starting gross salary for a full-time appointment is (minimally) ?? 3.475,- in scale 11 up to (maximally) ?? 4.757,- gross per month per month (max ?? 66.388,- all in per year). The position is full time, with tasks divided between teaching/management (65%) and research (35%). A part-time position of 80% is negotiable. The start of the employment is negotiable, preferably as near as possible to August 1, 2018. A successful candidate receives first a contract of 1 year, after a positive evaluation an extension of 1 to 3 years. A permanent position after this period is possible dependent on performance and UTQ and the success of the programs. Tilburg University is rated among the top of Dutch employers and has excellent terms of employment. Candidates from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary. The university will apply for such an allowance on their behalf. The Tilburg School of Humanities and Digital Sciences will provide assistance in finding suitable accommodation. The university offers very good fringe benefits (it is one of the best non-profit employers in the Netherlands), such as a holiday allowance, an options model for terms and conditions of employment and reimbursement of moving expenses. INFORMATION For more information on this position, please contact dr. Marie Postma (marie.postma at uvt.nl) , or the Head of the Department, prof. Pieter Spronck (p.spronck at uvt.nl). APPLICATIONS Applications should include a cover letter in English, a Curriculum Vitae (including two references), and a one-page statement about the candidate??s contribution to Cognitive Science and Artificial Intelligence. The application deadline is May 21, 2018. The only way to apply is online by following this link: http://www.tilburguniversity.edu/about-tilburg-university/working-at/wp/ Note: check out the current vacancies in the department on the above link. The department has job vacancies for Assistant professor in Data Science, Artificial Intelligence, Cognitive Science and Educational Technology. TILBURG SCHOOL OF HUMANITIES AND DIGITAL SCIENCES Tilburg School of Humanities and Digital Sciences (TSHD) conducts scientific research and education in the fields of Communication and Information Sciences, Philosophy, Religious studies and Language and Culture studies. The School of Humanities features three departments, several research institutes and a faculty office. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 1300 students and 250 employees. RECRUITMENT CODE Tilburg University applies the recruitmentcode of the Dutch Association for Personnel Management & Organization Development (NVP). DISCLAIMER The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -------------------- merk: Gazelle - Menno van Zaanen - type: sprint - mvzaanen at uvt.nl - kleur: zwart - ilk.uvt.nl/menno - framenummer: 1422055 -------------------- -Pe Daalemmer en Rooie Rinus From mvzaanen at uvt.nl Wed Apr 25 10:21:42 2018 From: mvzaanen at uvt.nl (Menno van Zaanen) Date: Wed, 25 Apr 2018 16:21:42 +0200 Subject: Connectionists: ASSISTANT PROFESSOR POSITION IN COGNITIVE SCIENCE Message-ID: <20180425142142.3bx2ucfpkfg7n3co@pinball.uvt.nl> ASSISTANT PROFESSOR POSITION IN COGNITIVE SCIENCE (1,0 fte) Please see: https://tiu.nu/13423 The Department of Cognitive Science and Artificial Intelligence of the Tilburg School of Humanities and Digital Sciences, is looking for an enthusiastic colleague for the position of Assistant Professor in the field of Cognitive Science. The candidate is expected to contribute to the teaching and research track ??Cognitive Science and Artificial Intelligence??. This track emphasizes interdisciplinary research in the cognitive sciences including human cognition, (psycho)linguistics, anthropology, neuroscience, psychology and artificial intelligence. Topics of research include, but are not limited to, robotics and avatars, serious games, virtual and mixed reality, and language technologies. The Cognitive Science and Artificial Intelligence track emphasizes innovative cutting-edge research in those areas of cognitive science that bring together psychological and computational theories and methodologies. The track is closely related to the university-wide data science Master program Data Science: Business & Governance, as well as to the Jheronimus Academy of Data Science. Faculty in the Cognitive Science and Artificial Intelligence track have access to a computer cluster, experimental lab facilities, a robotics lab, as well as the DAF Technology Lab, a virtual and mixed reality lab and its sensing technologies. PROFILE The position calls for an ambitious scientist with experience in both teaching and research. The successful candidate * has a PhD and a publication record in areas relevant to Cognitive Science, with expertise in multiple disciplines on human cognition, anthropology, (psycho)linguistics, neuroscience, psychology, philosophy and artificial intelligence; the ideal candidate has experience in conducting both experimental and theoretical/computational research on one or more relevant topics, such as for example cognitive development, language, speech, memory, learning, cognitive neuroscience, decision making, reasoning, social intelligence, meaning, vision, emotion, attention and (neuro)physiology; * has a strong record in developing and teaching Bachelor and (Research) Master courses, and experience with supervising Bachelor and Master??s theses; * has the ability to acquire external funding for research; * has the ability to work in an interdisciplinary team; * has the ability to communicate fluently in English; * has acquired or is willing to acquire the University Teaching Qualification (UTQ). TERMS OF EMPLOYMENT The position will be ranked in the Dutch university job ranking system (UFO) as assistant professor (??universitair docent??). The starting gross salary for a full-time appointment is (minimally) ?? 3.475,- in scale 11 up to (maximally) ?? 4.757,- gross per month per month (max ?? 66.388,- all in per year). The position is full time, with tasks divided between teaching/management (65%) and research (35%). A part-time position of 80% is negotiable. The start of the employment is negotiable, preferably as near as possible to August 1, 2018. A successful candidate receives first a contract of 1 year, after a positive evaluation an extension of 1 to 3 years. A permanent position after this period is possible dependent on performance and UTQ and the success of the programs. Tilburg University is rated among the top of Dutch employers and has excellent terms of employment. Candidates from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary. The university will apply for such an allowance on their behalf. The Tilburg School of Humanities and Digital Sciences will provide assistance in finding suitable accommodation. The university offers very good fringe benefits (it is one of the best non-profit employers in the Netherlands), such as a holiday allowance, an options model for terms and conditions of employment and reimbursement of moving expenses. INFORMATION For more information on this position, please contact prof. Max Louwerse (m.m.louwerse at uvt.nl), or the Head of the Department, prof. Pieter Spronck (p.spronck at uvt.nl). APPLICATIONS Applications should include a cover letter in English, a Curriculum Vitae (including two references), and a one-page statement about the candidate??s contribution to Cognitive Science and Artificial Intelligence. The application deadline is May 21, 2018. The only way to apply is online by following this link: http://www.tilburguniversity.edu/about-tilburg-university/working-at/wp/ Note: check out the current vacancies in the department on the above link. The department has job vacancies for Assistant professor in Data Science, Artificial Intelligence, Cognitive Science and Educational Technology. TILBURG SCHOOL OF HUMANITIES AND DIGITAL SCIENCES Tilburg School of Humanities and Digital Sciences (TSHD) conducts scientific research and education in the fields of Communication and Information Sciences, Philosophy, Religious studies and Language and Culture studies. The School of Humanities features three departments, several research institutes and a faculty office. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 1300 students and 250 employees. RECRUITMENT CODE Tilburg University applies the recruitmentcode of the Dutch Association for Personnel Management & Organization Development (NVP). DISCLAIMER The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -------------------- - Menno van Zaanen - When she smiled, her eyes lit up like - mvzaanen at uvt.nl - a pinball machine when you win a bonus game. - ilk.uvt.nl/menno - And she smiled a lot. -------------------- -Grant Naylor From mvzaanen at uvt.nl Wed Apr 25 10:22:01 2018 From: mvzaanen at uvt.nl (Menno van Zaanen) Date: Wed, 25 Apr 2018 16:22:01 +0200 Subject: Connectionists: ASSISTANT PROFESSOR POSITION IN ARTIFICIAL INTELLIGENCE Message-ID: <20180425142201.h3c4hn635wncjpyu@pinball.uvt.nl> ASSISTANT PROFESSOR POSITION IN ARTIFICIAL INTELLIGENCE (1,0 fte) Please see: https://tiu.nu/13422 The Department of Cognitive Science and Artificial Intelligence of the Tilburg School of Humanities and Digital Sciences, is looking for an enthusiastic colleague for the position of Assistant Professor in the field of Artificial Intelligence. The candidate is expected to contribute to the teaching and research track ??Cognitive Science and Artificial Intelligence??. Topics range from, but are not limited to, research and development in natural language technologies, brain-computer interaction, multi-agent systems and robotics, serious games, and virtual and mixed reality. The Cognitive Science and Artificial Intelligence track emphasizes innovative cutting-edge research in those areas of cognitive science that bring together cognitive theories and computational methodologies. The track is closely related to the university-wide data science Master program Data Science: Business & Governance, as well as to the Jheronimus Academy of Data Science (JADS) in Den Bosch. Faculty members in the Cognitive Science and Artificial Intelligence department have access to a computer cluster with GPU computing capability, experimental lab facilities, as well as robotics, virtual reality and sensing technologies. PROFILE The position calls for an ambitious scientist with experience in both teaching and research. The successful candidate The position calls for an ambitious scientist with experience in both teaching and research. The successful candidate * has a PhD and a publication record in Computer Science, Artificial Intelligence or a relevant discipline, with expertise in research areas such as data analytics, language technologies, robotics and avatars, gamification and serious games, brain-computer interaction, human-robot interaction, and virtual, mixed and augmented reality; * has a strong record in developing and teaching Bachelor and (Research) Master courses, and experience with supervising Bachelor and Master??s theses; * has the ability to acquire external funding for research; * has the ability to work in an interdisciplinary team; * has the ability to communicate fluently in English; * has acquired or is willing to acquire the University Teaching Qualification (UTQ). TERMS OF EMPLOYMENT The position will be ranked in the Dutch university job ranking system (UFO) as assistant professor (??universitair docent??). The starting gross salary for a full-time appointment is (minimally) ?? 3.475,- in scale 11 up to (maximally) ?? 4.757,- gross per month per month (max ?? 66.388,- all in per year). The position is full time, with tasks divided between teaching/management (65%) and research (35%). A part-time position of 80% is negotiable. The start of the employment is negotiable, preferably as near as possible to August 1, 2018. A successful candidate receives first a contract of 1 year, after a positive evaluation an extension of 1 to 3 years. A permanent position after this period is possible dependent on performance and UTQ and the success of the programs. Tilburg University is rated among the top of Dutch employers and has excellent terms of employment. Candidates from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary. The university will apply for such an allowance on their behalf. The Tilburg School of Humanities and Digital Sciences will provide assistance in finding suitable accommodation. The university offers very good fringe benefits (it is one of the best non-profit employers in the Netherlands), such as a holiday allowance, an options model for terms and conditions of employment and reimbursement of moving expenses. INFORMATION For more information on this position, please contact prof. Eric Postma (e.o.postma at uvt.nl ), or the Head of the Department, prof. Pieter Spronck (p.spronck at uvt.nl). APPLICATIONS Applications should include a cover letter in English, a Curriculum Vitae (including two references), and a one-page statement about the candidate??s contribution to Cognitive Science and Artificial Intelligence. The application deadline is May 21, 2018. The only way to apply is online by following this link: http://www.tilburguniversity.edu/about-tilburg-university/working-at/wp/ Note: check out the current vacancies in the department on the above link. The department has job vacancies for Assistant professor in Data Science, Artificial Intelligence, Cognitive Science and Educational Technology. TILBURG SCHOOL OF HUMANITIES AND DIGITAL SCIENCES Tilburg School of Humanities and Digital Sciences (TSHD) conducts scientific research and education in the fields of Communication and Information Sciences, Philosophy, Religious studies and Language and Culture studies. The School of Humanities features three departments, several research institutes and a faculty office. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 1300 students and 250 employees. RECRUITMENT CODE Tilburg University applies the recruitmentcode of the Dutch Association for Personnel Management & Organization Development (NVP). DISCLAIMER The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -------------------- - Menno van Zaanen - He who breaks a thing to find out what - mvzaanen at uvt.nl - it is, has left the path of wisdom. - ilk.uvt.nl/menno - -Gandalf -------------------- From mvzaanen at uvt.nl Wed Apr 25 10:22:22 2018 From: mvzaanen at uvt.nl (Menno van Zaanen) Date: Wed, 25 Apr 2018 16:22:22 +0200 Subject: Connectionists: ASSISTANT PROFESSOR POSITION IN DATA SCIENCE Message-ID: <20180425142222.4af4c5eujvp6pv4b@pinball.uvt.nl> ASSISTANT PROFESSOR POSITION IN DATA SCIENCE (1,0 fte) Please see: https://tiu.nu/13421 The Department of Cognitive Science and Artificial Intelligence of the Tilburg School of Humanities and Digital Sciences, is looking for an enthusiastic colleague for the position of Assistant Professor in the field of Data Science. The candidate is expected to initiate and conduct fundamental and applied research in Data Science as well as contribute to teaching in the Master Data Science: Business & Governance (DSBG) and the Bachelor Data Science. The Master DSBG is a joint initiative of the four schools of Tilburg University (Economics and Management, Law, Social and Behavioral Sciences, and Humanities) and offers a broadly oriented Data Science program for students with various backgrounds. The Bachelor Data Science is a joint initiative of Tilburg University and the Eindhoven University of Technology. Also, the candidate contributes to the teaching and research track ??Cognitive Science and Artificial Intelligence??. The tracks are closely related to the Jheronimus Academy of Data Science (http://www.jads.nl ). Faculty members at the Department of Cognitive Science and Artificial Intelligence have access to a computer cluster, experimental lab facilities, a robotics lab, as well as the DAF Technology Lab, a virtual and mixed reality lab and its sensing technologies. Moreover, researchers play an important role in Mind Labs (www.mind-labs.eu), an initiative which fosters collaborations between knowledge institutions and corporations in the field of interactive technologies and behavior. PROFILE The position calls for an ambitious scientist with experience in both teaching and research. The successful candidate * has a PhD and a publication record in areas relevant to data science, data mining, machine learning, cognitive science, big data processing (Hadoop, Spark), artificial intelligence, or other relevant areas; candidates should be proficient in programming and have experience with applying data science algorithms to the recognition or analysis of signals, images, or texts; * has a strong record in developing and teaching Bachelor and (Research) Master courses, and experience with supervising Bachelor and Master??s theses; * has the ability to acquire external funding for research; * has the ability to work in an interdisciplinary team; * has the ability to communicate fluently in English; * has acquired or is willing to acquire the University Teaching Qualification (UTQ). TERMS OF EMPLOYMENT The position will be ranked in the Dutch university job ranking system (UFO) as assistant professor (??universitair docent??). The starting gross salary for a full-time appointment is (minimally) ?? 3.475,- in scale 11 up to (maximally) ?? 4.757,- gross per month per month (max ?? 66.388,- all in per year). The position is full time, with tasks divided between teaching/management (65%) and research (35%). A part-time position of 80% is negotiable. The start of the employment is negotiable, preferably as near as possible to August 1, 2018. A successful candidate receives first a contract of 1 year, after a positive evaluation an extension of 1 to 3 years. A permanent position after this period is possible dependent on performance and UTQ and the success of the programs. Tilburg University is rated among the top of Dutch employers and has excellent terms of employment. Candidates from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary. The university will apply for such an allowance on their behalf. The Tilburg School of Humanities and Digital Sciences will provide assistance in finding suitable accommodation. The university offers very good fringe benefits (it is one of the best non-profit employers in the Netherlands), such as a holiday allowance, an options model for terms and conditions of employment and reimbursement of moving expenses. INFORMATION For more information on this position, please contact prof. Eric Postma (e.o.postma at uvt.nl ), or the Head of the Department, prof. Pieter Spronck (p.spronck at uvt.nl). APPLICATIONS Applications should include a cover letter in English, a Curriculum Vitae (including two references), and a one-page statement about the candidate??s contribution to Cognitive Science and Artificial Intelligence. The application deadline is May 21, 2018. The only way to apply is online by following this link: http://www.tilburguniversity.edu/about-tilburg-university/working-at/wp/ Note: check out the current vacancies in the department on the above link. The department has job vacancies for Assistant professor in Data Science, Artificial Intelligence, Cognitive Science and Educational Technology. TILBURG SCHOOL OF HUMANITIES AND DIGITAL SCIENCES Tilburg School of Humanities and Digital Sciences (TSHD) conducts scientific research and education in the fields of Communication and Information Sciences, Philosophy, Religious studies and Language and Culture studies. The School of Humanities features three departments, several research institutes and a faculty office. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 1300 students and 250 employees. RECRUITMENT CODE Tilburg University applies the recruitmentcode of the Dutch Association for Personnel Management & Organization Development (NVP). DISCLAIMER The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -------------------- in a dark well - Menno van Zaanen - I found a kite - mvzaanen at uvt.nl - bloodstained, so beautiful - ilk.uvt.nl/menno - recognizable -------------------- -K's Choice From jkrichma at uci.edu Wed Apr 25 15:33:34 2018 From: jkrichma at uci.edu (Jeff Krichmar) Date: Wed, 25 Apr 2018 12:33:34 -0700 Subject: Connectionists: AI & Augmented Cognition in the USAF of 2030 MicroLabs Message-ID: <18B54D57-74D6-495D-B4CD-D5130ADB7B80@uci.edu> Dear Colleagues, Please consider this friendly reminder to join us for one of the upcoming AI & Augmented Cognition in the USAF of 2030 MicroLabs next week. These 60-90 minute interactive online events are part of a larger effort to illuminate the 2030 technology horizon for AI in the USAF context. To maintain the integrity of the process for our USAF sponsor, registration can only be completed through a closed community portal (https://hub.ki/groups/gmuai/overview). If you'd like to get involved, please use this link (https://goo.gl/CkntHq) to complete a 1-minute application for the community. For reference, the primary objective of the effort, as stated, is to illuminate the 2030 technology horizon for AI in the USAF context. A secondary objective is to facilitate the building of a community of USAF aligned experts who can provide continuing advice to the USAF as an external advisory board. The final objective is to facilitate the discussions necessary to build a pipeline of technological expertise in AI to avoid or respond to strategic surprise in this area. Sincerely, James Olds - former head of the Biological Sciences Directorate at NSF and university professor of neuroscience at George Mason University Stephen Fiore - Director, Cognitive Sciences Laboratory, and Professor with the University of Central Florida's Cognitive Sciences Program in the Department of Philosophy and Institute for Simulation & Training Jeff Krichmar - Professor in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From zoltan.szabo.list at gmail.com Wed Apr 25 14:16:34 2018 From: zoltan.szabo.list at gmail.com (Zoltan Szabo) Date: Wed, 25 Apr 2018 20:16:34 +0200 Subject: Connectionists: D-7 reminder: Data Science Summer School @ Polytechnique Message-ID: <621f1fb8-36ae-3b7f-e766-5c4f2d80d28f@gmail.com> Dear All, This is a quick reminder, 1 week is left to apply to the Data Science Summer School @ Ecole Polytechnique (June 25 - June 29). -Application system closes: May 2. -Link to apply: http://www.ds3-datascience-polytechnique.fr/ Best, DS^3 Organizers From amir.aly at em.ci.ritsumei.ac.jp Thu Apr 26 02:26:29 2018 From: amir.aly at em.ci.ritsumei.ac.jp (Amir Aly) Date: Thu, 26 Apr 2018 15:26:29 +0900 Subject: Connectionists: CFP - Special issue on Robots and Smart Environments (Extended Deadline) Message-ID: *Cognitive Systems Research (CSR) Journal* CALL FOR PAPERS (Extended Deadline) **Apologies for cross posting ** We are happy to call for papers for the journal special issue: "*Social Cognitive Systems in Smart Environments: Approaches for Learning, Reasoning, and Adaptation*" *Webpage: **https://www.journals.elsevier.com/cognitive-systems-research/call-for-papers/special-issue-social-cognitive-systems-in-smart-environment * *I. Aim and Scope * A ?smart? environment incorporates intelligent systems (e.g., smart home, smart factory, smart city, smart car etc.) employing heterogeneous devices, such as: sensors, actuators, cameras, networks, and screens. Within such a smart environment, autonomous agents can take on an important mediating role between human users and the environment. This is particularly true if high-level cognitive functions and computational intelligence are employed to handle the uncertainty of the complex environment so as to allow agents to act appropriately within different contexts of interaction. Using robotic systems in smart environments opens the door to several socio-cognitive applications, such as: reducing cognitive load for individuals interacting with a smart environment, assisting the elderly and people with cognitive disabilities in mobility and daily tasks (which requires robots to learn the multimodal characteristics of human behavior and to spatially perceive the environment containing other smart objects to decide the best way to employ/manipulate them in order to successfully perform tasks), and developing a cloud-connected robot system to incrementally share knowledge between robots in different smart environments about the behavioral characteristics of human users in order to interact with them adaptively. To meet the requirements of these target applications, robots need to be able to learn how to use the capabilities of their smart environments to better address the needs of the human users. Industrial applications of such technologies include factories of the future and the digital eco-system within an autonomous car. This special issue aims to shed light on cutting edge lines of interdisciplinary research in cognitive science, artificial intelligence, and robotics covering basic research and applications. Recent advances and possible future research avenues on smart robots and environments would be discussed in detail in this journal special issue. *II. Potential Topics* Topics relevant to this special issue include, but are not limited to: - Cyber-physical systems in smart environments - Multimodal human robot interaction - Cognitive modeling of human behavior - Cognitive architectures and strategies for intelligent interaction with the environment - AI and machine learning approaches applied to human-robot-environment interaction - Internet of things - Ambient assisted living - Infotainment in smart vehicles - Natural user interface design - Cloud robotics - Ubiquitous computing *III. Submission* Submissions to the special issue must include original research that has not been published nor submitted to other journals. Authors should prepare their manuscript according to the "Guide for Authors" available at the journal homepage: http://www.journals.elsevier.c om/cognitive-systems-research/. Papers should be submitted through the EVISE system: https://www.evise.com/evise/jrnl/cogsys. Authors should select "*VSI:Smart Environments"* as the article type during the submission process. *IV. Timline * - Deadline for paper submission: June 30, 2018 - First notification for authors: September 30, 2018 - Deadline for revised papers submission: November 30, 2018 - Final notification for authors: January 31, 2019 - Deadline for submission of camera-ready manuscripts: March 15, 2019 *V. Guest editors* Dr. Amir Aly, Ritsumeikan University, Japan (amir.aly at em.ci.ritsumei.ac.jp) Dr. Shashank Pathak,Visteon Corporation, Germany ( shashank.pathak at visteon.com) Dr. Sean Andrist, Microsoft Research, USA (sandrist at microsoft.com) Prof. Armando Tacchella, University of Genoa, Italy ( armando.tacchella at unige.it) --------------- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From ahu at cs.stir.ac.uk Thu Apr 26 04:08:41 2018 From: ahu at cs.stir.ac.uk (Prof Amir Hussain) Date: Thu, 26 Apr 2018 09:08:41 +0100 Subject: Connectionists: Final (EXTENDED DEADLINE: 10 May 2018) CFP: 9th International Conference on Brain Inspired Cognitive Systems (BICS 2018) & IEEE Brain Data Bank (BDB) Challenge Competition Message-ID: Due to numerous requests from authors, the (final) deadline for BICS'2018 has been extended to 10th May 2018, please see details below. We look forward to seeing you in X'ian this summer! FINAL CALL FOR PAPERS - BICS 2018 & IEEE Brain Data Bank (BDB) Challenge Competition (see details below) International Conference on Brain Inspired Cognitive Systems (BICS 2018) Xi'an, China, July 7-8, 2018 (http://bics2018.org ) The 9th International Conference on Brain Inspired Cognitive Systems (BICS 2018) will be held in Xi?an, China, as a sequel of BICS 2004 - 2016. It is co-organised by Northwestern Polytechnical University (www.nwpu.edu.cn) and The Guangzhou Key Laboratory of Digital Content Processing and Security Technologies (www.gpnu.edu.cn). Geographically located at the heart of China, Xi?an is the capital and largest city of Shaanxi Province. It once served as the capital city of ancient China for 13 dynasties, with a history of 5,000 years. Xi?an witnessed the most glorious history of China, and now ranks as one of the top 10 tourist destinations in China with a distinctive culture. Xi'an is the starting point of the Silk Road and home to the Terracotta Army of Emperor Qin Shi Huang, the first Emperor in Chinese history. BICS 2018 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of brain inspired cognitive systems research and applications in diverse fields. The conference will feature plenary lectures given by world renowned scholars, regular sessions with broad coverage, and some special sessions and workshops focusing on popular and timely topics. BICS 2018 conference proceedings will be published as part of Springer LNAI Series (indexed by EI). Selected papers will be published in a special issue of the leading (ISI SCI indexed) Springer journal: Cognitive Computation Journal (http://springer.com/12559 - current ISI Impact Factor: 3.44). **************************************** Important Dates **************************************** - Full paper submission (FINAL extended deadline): *10 May 2018* - Notification: * 31 May 2018* - Camera-ready paper due: *10 June 2018* - BICS?2018 special Issue in Springer?s Cognitive Computation journal (SCI: 3.441 in 2017):* Planned, late Vol. 19, 2019* - * Conference: July 7-8, 2018* ------------------ Topics of interest ------------------ -Biologically Inspired Systems (BICS-BIS) -Cognitive Neuroscience (BICS-CNS) -Models of Consciousness (BICS-MoC) -Neural Computation (BICS-NC) ---------------------- IEEE BDB Competition ---------------------- The IEEE Brain Initiative has sponsored several challenges and competitions during 2017 to analyse a range of brain/neuro datasets. The first IEEE Brain Data Bank (BDB) Challenge was held in June at St. Petersburg, as part of the IEEE SPCN 2017 Symposium (https://spcn.co/). Other challenges were held in Glasgow, Scotland, October 31, 2017, during the IEEE SENSORS Conference (http://ieee-sensors2017.org/), followed by the IEEE BDB Competition in Boston, USA, December 9, 2017 (https://brain.ieee.org/news/call-participation-ieee-brain-data-bank-challenge-boston/). Following the success of BDB Challenges in 2017, there are new activities planned in 2018. Apart from last year?s global events, the BDB will be held for the first time in China in July 2018, in conjunction with the 9th International Brain-Inspired Cognitive Systems (BICS) Conference. You are cordially invited to participate in the Xi?an competition, and to exercise your curiosity and creativity to make sense of your chosen datasets (see details on our website ) *Judging* Entries will be judged in three categories: - Data analysis including well-justified, innovative, and rigorous methodologies - Data visualization including novel, highly informative, and aesthetically appealing visualization techniques - Presentation and interpretation of findings including clear, informative delivery and compelling investigation and interpretation *Awards* There will be 3 awards given: - 1st place ? $600.00 - 2nd place ? $400.00 - 3rd place ? $200.00 They will be judged based on the 3 categories described above: data analysis, data visualization, presentation and interpretation of findings. ---------- Organizers ---------- General Chairs - Yanning Zhang, China - Jiangbin Zheng, China - Amir Hussain, Scotland, UK - Jinchang Ren, Scotland, UK - Narisa Nan Chu, USA Program Chairs - Xiaoya Fan, China - Huimin Zhao, China - Cheng-Lin Liu, China - Bin Luo, China >>>>>>> For more information please visit *bics2018.org * or *https://easychair.org/cfp/BICS-2018 * <<<<<<< -- The University achieved an overall 5 stars in the QS World University Rankings 2016/17 The University of Stirling is a charity registered in Scotland, number SC 011159. -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.gomez.rodriguez at gmail.com Thu Apr 26 04:40:39 2018 From: m.gomez.rodriguez at gmail.com (Manuel Gomez Rodriguez) Date: Thu, 26 Apr 2018 10:40:39 +0200 Subject: Connectionists: Multiple PhDs and Postdoctoral Positions in Social and Information Systems at MPI-SWS Message-ID: Multiple PhDs and Postdoctoral Positions in Social and Information Systems at MPI-SWS ==================================================================== The Max Planck Institute for Software Systems (MPI-SWS, http://www.mpi-sws.org/) is growing its presence in social and information systems with multiple PhD and postdoctoral positions under the supervision of Manuel Gomez Rodriguez, Krishna Gummadi and/or Adish Singla. MPI-SWS is at the forefront of research in a large variety of topics in social and information systems, from fairness, accountability and transparency in algorithmic decision making, temporal point processes for modeling and control of social processes, to the emerging field of machine teaching. Researchers at MPI-SWS have published extensively in the top conference in the field (e.g., NIPS, ICML, KDD, WWW, WSDM, ICWSM) and received numerous awards, including an ERC Advanced grant, several Humboldt postdoctoral awards, and best/runner-up paper awards at NIPS, WWW, or ICWSM. Applicants should be highly motivated and creative and have an exceptional background in machine learning, probability, optimization or social computing, as well as excellent programming skills. Postdoctoral applicants should have a strong track record of research publications in top tier conferences and a Ph.D. in a relevant field (e.g., Computer Science, Information Science, Engineering, Statistics & Optimization). MPI-SWS currently has 13 tenured and tenure-track faculty and about 50 doctoral and post-doctoral researchers and is located in Kaiserslautern and Saarbruecken, in the tri-border area of Germany, France and Luxembourg. The institute maintains an open, international and diverse work environment and we seek applications from outstanding candidates regardless of national origin or citizenship. Working language at MPI-SWS is English -- German is not required. The salary is highly competitive and you will have great support to do outstanding research. In order to apply, please, refer to https://www.mpi-sws.org/graduate-studies/#admission (phd positions) or https://www.mpi-sws.org/research-careers/#postdoctoral-positions (postdoctoral positions). Informal inquiries should be directed to applications-sis at mpi-sws.org. Reviews of applications will start immediately, and continue until the positions are filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From compsens at medizin.uni-tuebingen.de Thu Apr 26 06:37:08 2018 From: compsens at medizin.uni-tuebingen.de (Compsens) Date: Thu, 26 Apr 2018 12:37:08 +0200 Subject: Connectionists: POSTDOC / PHD POSITION: LEARNING OF COGNITIVE REPRESENTATIONS FOR HUMAN-ROBOT INTERACTION (University of Tuebingen, Germany) Message-ID: <20180426123708.Horde.DJYdv2gQ9-CYuJv9YL5chmX@webmail.uni-tuebingen.de> POSTDOC / PHD POSITION: LEARNING OF COGNITIVE REPRESENTATIONS FOR HUMAN-ROBOT INTERACTION (University of Tuebingen, Germany) ============================================================ The Section for Computational Sensomotorics at the Center for Integrative Neurosciences and the Hertie Institute for Clinical Brain Research at the University of Tuebingen invites applications for a 2y-Postdoc or 3y-PhD student. We offer employment with salary and social benefits based on the collective agreement for public service employees in the academic and science sector. The position is funded within the EC research project COGIMON that includes multiple other European partners. This highly interdisciplinary project aims at the development of control algorithms and strategies for the interaction between humans and humanoid robots, ultimately leading also to biomedical applications. The available project focuses on the development of machine learning algorithms for the representation and control of interactive full-body movements, in close interaction with experiments with human subjects and patients. This includes work with human motion capture data and marker-less tracking, techniques from computer animation, online motion synthesis for humanoid robots and ortheses, and related machine learning approaches. Our group has long expertise with the modeling and perception of complex human body motion. We are part of the Hertie Institute for Clinical Brain Science (HIH), one of the leading European institutions in Clinical Neuroscience and of the Excellence Center for Integrative Neuroscience (CIN) that hosts a large spectrum of experimental and theoretical groups in neuroscience at the University and the Max Planck Institutes. Ideal candidates should have the following qualifications: * Masters (PhD) degree in Computer Science, Electrical / Mechanical / Biomedical Engineering, Physics, or related fields with good mathematical training * programming experience (Matlab, Python, or C/C++, ...) * Knowledge about machine learning and basics in control theory * English speaking and writing skills. Committed to Equal Opportunities. Please send applications preferentially electronically (including CV, marks and 2 letters of reference) as soon as possible to Prof. Dr. Martin Giese, Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience, Otfried-M?ller. 25, 72076 Tuebingen, Germany; email: martin.giese at uni-tuebingen.de ================================================== Section for Theoretical Sensomotorics Dept. for Cognitive Neurology Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience University of Tuebingen Otfried-M?ller Str. 25 D-72076 Tuebingen GERMANY Tel.: +49 7071 2989124 Fax: +49 7071 294790 Email: martin.giese at uni-tuebingen.de Web: http://www.compsens.uni-tuebingen.de/ ============================================== From george at cs.ucy.ac.cy Thu Apr 26 09:04:25 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Thu, 26 Apr 2018 16:04:25 +0300 Subject: Connectionists: 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018): Fourth Call for Papers Message-ID: <3CDB5500-D7B9-4DE1-A5E3-C65D85B34FA8@cs.ucy.ac.cy> *** FOURTH CALL FOR PAPERS *** 24th International Symposium on Methodologies for Intelligent Systems (ISMIS 2018) St. Raphael Resort, Limassol, Cyprus, 29-31 October, 2018 http://www.cyprusconferences.org/ismis2018 WELCOME ISMIS is an established and prestigious conference for exchanging the latest research results in building intelligent systems. Held twice every three years, the conference provides a medium for exchanging scientific research and technological achievements accomplished by the international community. SCOPE The scope of ISMIS is intended to represent a wide range of topics on applying Artificial Intelligence techniques to areas as diverse as decision support, automated deduction, reasoning, knowledge based systems, machine learning, computer vision, robotics, planning, databases, information retrieval, etc. The focus is on research in intelligent systems. The conference addresses issues involving solutions to problems that are complex to be solved through conventional approaches and that require the simulation of intelligent thought processes, heuristics and applications of knowledge. The integration of these multiple approaches in solving complex problems is of particular importance. ISMIS provides a forum and a means for exchanging information for those interested purely in theory, those interested primarily in implementation, and those interested in specific research and industrial applications. TOPICS ISMIS 2018 is intended to attract individuals who are actively engaged both in theoretical and practical aspects of intelligent systems. The goal is to provide a platform for a useful exchange between theoreticians and practitioners, and to foster the cross-fertilization of ideas in the following areas: ? Active Media Human-Computer Interaction ? Autonomic and Evolutionary Computation ? Digital Libraries ? Health Informatics ? Intelligent Agent Technology ? Intelligent Data Processing and Analytics ? Intelligent Information Retrieval ? Intelligent Information Systems ? Intelligent Language Processing ? Knowledge Integration and Aggregation ? Knowledge Discovery and Data Mining ? Knowledge Visualization ? Logic for Artificial Intelligence ? Multimedia Information Retrieval ? Soft Computing ? Text Mining ? Web Intelligence ? Web Mining In addition, we solicit papers dealing with Applications of Intelligent Systems in complex/novel domains, e.g. art, human genome, global change, manufacturing, social good, etc. PAPER SUBMISSION Authors are invited to submit their manuscripts in LNCS/LNAI style (maximum 10 pages). All paper submissions will be handled electronically. All submissions will be subject to review by the ISMIS 2018 Program Committee. Papers should be prepared using the Springer LNCS/LNAI style (http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines), maximum 10 pages. Papers should be submitted in PDF form via ISMIS 2018 Online Submission System: https://easychair.org/conferences/?conf=ismis2018 . PUBLICATION AND JOURNAL SPECIAL ISSUES The ISMIS 2018 proceedings will be published by Springer in LNAI (Lecture Notes in Artificial Intelligence) and will be available at the conference. Authors of best papers will be invited to submit their extended versions to the Journal of Intelligent Information Systems (JIIS) (http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10844) published by Springer. Fast Track Processing will be used to have them reviewed and published. IMPORTANT DATES ? Paper Submissions due: 10th May 2018 ? Notification of Acceptance/Rejection: 10th July 2018 ? Camera-Ready Versions of Accepted Papers: 31st July 2018 ? Author Registration: 31st Juy 2018 ? Early Non-Author Registration: 10th September 2018 ? Late Non-Author Registration: after 10th September 2018 ORGANIZING COMMITTEE Steering Committee Chair ? Zbigniew Ras (UNC-Charlotte, USA & Polish-Japanese Academy of IT, Poland) Symposium Chair ? George Angelos Papadopoulos (University of Cyprus, Cyprus) Program Committee Co-Chairs ? Michelangelo Ceci (Universita degli Studi di Bari, Italy) ? Nathalie Japkowicz (American University, USA) ? Jiming Liu (Hong Kong Baptist University, Hong Kong) Special Sessions Chair ? Stefano Ferilli (University of Bari, Italy) Program Committee http://cyprusconferences.org/ismis2018/committees/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From daneshtarapore at gmail.com Thu Apr 26 10:44:26 2018 From: daneshtarapore at gmail.com (Danesh Tarapore) Date: Thu, 26 Apr 2018 15:44:26 +0100 Subject: Connectionists: [JOBS] Research fellow in Swarm Robotics Message-ID: We are looking for a post-doctoral researcher to join our newly funded project "*Fault recovery strategies for resilient robot swarms*". If interested, please visit https://goo.gl/gj7zSA for project details. Kind regards, Danesh. --- Dr Danesh Tarapore Lecturer, Electronics and Computer Science University of Southampton. SO17 1BJ. UK. Tel: (+44) (0) 23 805 99255 http://www.ecs.soton.ac.uk/people/dst1m17 http://www.linkedin.com/in/daneshtarapore -------------- next part -------------- An HTML attachment was scrubbed... URL: From zfalomir at gmail.com Thu Apr 26 18:29:32 2018 From: zfalomir at gmail.com (Zoe Falomir) Date: Fri, 27 Apr 2018 00:29:32 +0200 Subject: Connectionists: CCIA'18 -- Last CFP Message-ID: ================================================================= CCIA 2018 - 21st International Conference of the Catalan Association of Artificial Intelligence LAST CALL FOR PAPERS *NEW* Extended Deadline: 14 May *NEW* VSI in PRLetters ================================================================= October 8-10, 2018, Roses, Catalonia (Spain) ================================================================= *NEW* Venue: Hotel Marian Plage, Avda Salatar, 17480, Roses Web Page: https://ccia2018.upc.edu/en/ ================================================================= INTRODUCTION ----------------------- We invite you to participate in the 21st International Conference of the Catalan Association for Artificial Intelligence (CCIA 2018) that will take place on 8-10th October 2018 in Hotel Marian Plage on the beautiful Bay of Roses, at Alt Empord?, Catalonia (Spain), https://www.timeout.cat/ girona/ca/noticies/la-badia-de-roses-catalogada-com -una-de-les-mes-boniques-del-mon-041818 [www.timeout.cat]. The main goal of this international conference is to foster discussion around the last advances in Artificial Intelligence. We encourage you to contribute with finished works as well as preliminary works with promising original and innovative ideas. CCIA is the usual meeting point of the Catalan AI scientific community, this is why the conference official languages are Catalan, Spanish, French, Italian and English. However, English must be used to be published in the conference proceedings. *NEW* Visit the conference website ccia2018.upc.edu and have a look at: -- the high quality keynote speakers invited for the conference. -- social programme: the gala dinner takes place at Castell de Peralada. This CCIA edition is also hosting the first commemorative activities of the 25th anniversary of the foundation of the Catalan Association for Artificial Intelligence (ACIA), which will start in a specific act at the conference and will continue all along the 2018-2019 academic course. ACIA is a member society of the European Association for Artificial Intelligence (EurAI). Subscribe to our news to receive direct updates on your email: https://ccia2018.upc.edu/en/subscribe TOPICS ------ * Cognitive Modelling and Cognitive Systems * Knowledge Representation and Ontologies * Logic, Reasoning and Fuzzy Logic * Agents and Multi-agent Systems * Machine Learning and Case-based Reasoning * Artificial Neural Networks and Evolutionary Systems * Fusion/Aggregation of Information * Data Mining and Knowledge Discovery from Databases / Data Science * Planning, Optimization, Satisfiability and Constraints * Artificial Vision and Image Processing / Perception * Human-Machine Communication and Natural Language Processing * Robotics * Recommender Systems, Text Mining, and Semantic Web * AI Applications * AI Problem Solving * Real Time AI IMPORTANT DATES --------------- * Submissions deadline: Maig 14, 2018 (strict) * Author notification: June 15, 2018 * Early registration date: June 20, 2018 * Camera-ready: July 1, 2018 * Conference dates: October 8-10, 2018 PAPER SUBMISSION ---------------- We invite you to submit papers reflecting both finished works as well as works in progress, containing original and promising ideas. We welcome the following types of submissions: - Short papers (2-4 pages) - Long papers (8-10 pages) Long submitted papers will be peer-reviewed based on technical quality, relation to the topics of the conference, originality, relevance, significance, and clarity. Short papers will be evaluated for their significance considering them as ongoing work description. Note that all submissions must be original. Short accepted papers will be presented as posters, mainly. Paper submissions must meet the following guidelines: - Papers must be written in English language to be published in the proceedings. - Papers must be submitted in PDF format following the IOSPress guidelines. Detailed instructions, templates and stylesheets for manuscript preparation are available to download here: LaTeX:http://www.iospress.nl/wp-content/uploads/2016/09/ ECRC-Author-Instructions-and-tools-LaTeX.zip MsWord:http://www.iospress.nl/wp-content/uploads/2016/09/ ECRC-Author-Instructions-and-tools-Word.rar - Papers should not include page numbers. - All papers must have an Abstract and a list of keywords Papers should be submitted through the EasyChair platform at https://easychair.org/conferences/?conf=ccia2018 PUBLICATION ----------- Accepted papers will be published at the conference proceedings book in the collection ?Frontiers in Artificial Intelligence and Applications? of IOS Press. Camera-ready versions of accepted papers should follow in the same IOSPress format guidelines. Extended versions of the conference best papers will be invited to be submitted to the following special issues: 1) SI on ?Logic-based applications in AI? in the "Logic Journal of the IGPL?, Oxford University Press https://academic.oup.com/jigpal (indexed in JCR: Q3 - Logic, Q3 - Mathematics, Q4 - Mathematics Applied). Logic Journal of the IGPLpublishes papers in all areas of pure and applied logic, including pure logical systems, proof theory, model theory, recursion theory, type theory, nonclassical logics, nonmonotonic logic, numerical and uncertainty reasoning, logic and AI, foundations of logic programming, logic and computation, logic and language, and logic engineering. *NEW* 2) VSI on ?Pattern Recognition and Cognitive Assistants (PRCA)?, at Pattern Recognition Letters, Elsevier https://www.journals.elsevier. com/pattern-recognition-letters (indexed in JCR: Q2 ? Computer Science, Artificial Intelligence). PRLetters includes all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. STUDENTS GRANTS ----------------------------- After receiving the notification of acceptance, students who will attend the conference can apply for grants funded by Associaci? Catalana d'Intel?lig?ncia Artificial (ACIA, http://www.acia.cat/). These grants consist of up to 250? to cover transportation and accommodation costs. More information can be found on the ACIA webpage. ORGANIZATION ------------------------- General Chair: Enric Plaza (IIIA-CSIC) Local Organization Chair: Karina Gibert (KEMLG at IDEAI, UPC) Scientific Programme Chair: Zoe Falomir (U. Bremen) LOCAL ORGANISING COMMITTEE ------------------------------------------------- Karina Gibert (KEMLG at IDEAI, Universitat Polit?cnica de Catalunya-BarcelonaTech) Miquel S?nchez-Marr?, Universitat Polit?cnica de Catalunya-BarcelonaTech Javier V?zquez Salceda, Universitat Polit?cnica de Catalunya-BarcelonaTech Beatriz Sevilla Villanueva, Universitat Polit?cnica de Catalunya-BarcelonaTech Aida Valls Mateu, Universitat Rovira i Virgili Atia Cort?s Mart?nez, Universitat Polit?cnica de Catalunya-BarcelonaTech Cristian Barru?, Universitat Polit?cnica de Catalunya-BarcelonaTech Xavi Angerri Torredeflot, Universitat Polit?cnica de Catalunya-BarcelonaTech Luis Oliva Felipe, Universitat Polit?cnica de Catalunya-BarcelonaTech HONORIFIC MEMBERS OF THE LOCAL ORGANIZING COMMITTEE Eduard Mart?n Lineros, Il.lustrious Dean of the Oficial Chamber of Informatics Engineering of Catalonia Josep Fern?ndez Ruzafa, Dean of the Facultat d?Inform?tica de Barcelona Ramon Lopez De Mantaras, director of the Institut d'Investigaci? en Intel.lig?ncia Artificial, CSIC Mateo Valero, director of the Barcelona Supercomputing Center Ulises Cortes, Scientific coordinator of the High Performance Artificial Intelligence group, BSC and Director of the Interuniversity master on Artificial Intelligence, UPC Josep Puyol, President of the Catalan Association for Artificial Intelligence PROGRAM COMMITTEE ----------------- N?ria Agell (ESADE-URL) Isabel Aguil? (UIB) Guillem Aleny? (IRI-CSIC-UPC) Ren? Alqu?zar (UPC) Cecilio Angulo (UPC) Javier Antich Tobaruela (UIB) Josep Argelich (UdL) Eva Armengol (IIIA-CSIC) Federico Barber (UPV) Ramon Bejar (UDL) ?scar Belmonte (UJI) Llu?s Belanche (UPC) Ester Bernad?-Mansilla (URL) Xavier Binefa (UPF) Francisco Bonin Font (UIB) Francisco Bonnin Pascual (UIB) Vicent Botti (UPV) Antoni Burguera (UIB) Pompeu Casanovas (UAB) A. Candelieri (U. Mi-Bicocca) Gustavo Casa? (UJI) Miguel Cazorla (UA) Dante Conti (ULA, Venezuela) Vicent Costa (UAB) Hubie Chen (Birkbeck, University of London) Ulises Cort?s (UPC) Pilar Dellunde (IIIA-CSIC) Jos? de Gea (DFKI-Bremen, Germany) Sergio Escalera (UB) Vlad Estivill-Castro (Griffith University, Australia) Francesc J. Ferri (UV) Emilio Garc?a Fidalgo (UIB) Ana Garc?a-Forn?s (UPV) Ricard Gavalda (UPC) H?ctor Geffner (ICREA-UPF) Llu?s Godo (IIIA-CSIC) Salvatore Grecco (U. Catania) Stephan Grieu (U. Perpiny?) Francisco Grimaldo (UV) Jos? Guerrero Sastre (UIB) Anders Jonsson (UPF) Vicente Juli?n (UPV) Mikhail Kanevski (UNIL, Suissa) Jordi Levy (IIIA-CSIC) Ramon L?pez De M?ntaras (IIIA-CSIC) Beatriz L?pez (UdG) Emilia L?pez I?esta (UV-UCV) Maite L?pez S?nchez (UB) Miguel Lozano (UV) Felip Many? (IIIA-CSIC) Pere Mart? (U.VIC) Sebasti? Massanet (UIB) Carles Mateu (UdL) Joaquim Mel?ndez (UdG) Pedro Meseguer (IIIA-CSIC) Antonio Moreno (URV) Antonio Morales (UJI) Francisco Mugica (UPC) Lled? Museros (UJI) Angela Nebot (UPC) Carles Noguera (Academy of Sciences of the Czech Republic) Eva Onaindia (UPV) Mario Paolucci (ISTC/CNR) Jordi Planes (UdL) Marc Pous (ActuaTech, Andorra) Domenec Puig (URV) Josep Puyol-Gruart (IIIA-CSIC) Petia Radeva (UB & CVC) Arnau Ramisa (IRI-UPC) Gabriel Recatal? (UJI) Andrea Rizzoli (IDSIA, Su?ssa) Horacio Rodr?guez (UPC) Ricardo Oscar Rodriguez (UBA) Maria Salamo (UB) Jordi Sabater Mir (IIIA-CSIC) Jos? Salvador S?nchez-Garreta (UJI) Miquel S?nchez-Marr? (UPC) Sandra Sandri (INPE,Brazil) Ismael Sanz (UJI) Marco Schorlemmer (IIIA-CSIC) Carles Sierra (IIIA-CSIC) Massimo Tistarelli (U.Sassari, Alghero, It) Vicen? Torra (U. Sk?vde, Sweden) Carme Torras (IRI-CSIC/UPC) Ximo Torres (UJI) V. Javier Traver (UJI) O. Travesset (OBSA, Andorra) Aida Valls (URV) Maria Vanrell (UAB) Xavier Varona (UIB) Alfredo Vellido (UPC) Mateu Villaret (UdG) Jordi Vitri? (UB) Leo Wanner (ICREA & UPF) Franz Wotawa (U. Graz, Switzerland) -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Thu Apr 26 22:54:27 2018 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Thu, 26 Apr 2018 22:54:27 -0400 Subject: Connectionists: NEURAL NETWORKS, May 2018 Message-ID: Neural Networks - Volume 101, May 2018 http://www.journals.elsevier.com/neural-networks Salient object detection based on multi-scale contrast Hai Wang, Lei Dai, Yingfeng Cai, Xiaoqiang Sun, Long Chen Neural electrical activity and neural network growth F.M. Gafarov Manifold regularized matrix completion for multi-label learning with ADMM Bin Liu, Yingming Li, Zenglin Xu Effective neural network training with adaptive learning rate based on training loss Tomoumi Takase, Satoshi Oyama, Masahito Kurihara Robust Latent Regression with discriminative regularization by leveraging auxiliary knowledge Jianwen Tao, Di Zhou, Bin Zhu Distributed support vector machine in master-slave mode Qingguo Chen, Feilong Cao Designing a stable feedback control system for blind image deconvolution Shichao Cheng, Risheng Liu, Xin Fan, Zhongxuan Luo Neural network for nonsmooth pseudoconvex optimization with general convex constraints Wei Bian, Litao Ma, Sitian Qin, Xiaoping Xue Unified synchronization criteria in an array of coupled neural networks with hybrid impulses Nan Wang, Xuechen Li, Jianquan Lu, Fuad E. Alsaadi Delay-dependent dynamical analysis of complex-valued memristive neural networks: Continuous-time and discrete-time cases Jinling Wang, Haijun Jiang, Tianlong Ma, Cheng Hu From mklados at gmail.com Thu Apr 26 19:15:09 2018 From: mklados at gmail.com (Manousos Klados) Date: Fri, 27 Apr 2018 00:15:09 +0100 Subject: Connectionists: PhD Studentship in Paediatric Epilepsy Message-ID: Applications are invited for a PhD studentship in the Aston University (UK). *The Role* A PhD student position is available in the Department of Biomedical Engineering at the Aston University to work in collaboration with the Aston Brain Center and the Birmingha Women Children Hospital. *The Project* *DeSOZ: Automatic Detection of Seizure Onset Zone from scalp EEG Signals in Children with MRE* The main aim of this project, is to develop an algorithm for the automatic localisation of the epileptogenic source, based only on high-density EEG (hdEEG), in children with medically refractory epilepsy (MRE), which is currently missing. Many patients with epilepsy seizures are proven medically resistant and respective surgery is the only remaining treatment alternative. This is performed for removing a small portion of brain tissue that is currently defined using intracranial electroencephalogram (iEEG). However, iEEG monitoring has its limitations, which are mainly found in its invasiveness, cost and the limited spatial sampling. To date, this results in a significant number of patients continuing to experience postsurgical seizures. During the last few years, high-frequency oscillations (HFOs above 80 Hz) have emerged as a new promising biomarker in pre-surgical diagnosis of epileptogenicity, while the resection of the tissue generating HFOs improves surgical outcome in patients with MRE. Despite the findings, HFOs are not used in clinical practice, mainly due to the lack of studies addressing their detection and analyses with non-invasive methods. The ultimate goal of the project is to automatically detect HFOs and localise their source of origin, by using only hdEEG, which is necessary for a solid sampling and accurate localisation of HFOs on the scalp. Achieving this. The main outcomes of the project will be so the gained knowledge for the mechanism of HFOs and their relation to epilepsy as a valuable tool for the clinicians who perform surgical operations, and patients who will refrain from invasive monitoring (iEEG). *The Person* Expressions of Interest are invited from outstanding and enthusiastic graduates with a background in mathematics, physics, engineering or informatics, who have been awarded the UK equivalent of a First or Upper Second Class Honours degree in a relevant subject or have an MSc and/or similar award or experience deemed to provide evidence of research potential. Experience with signal processing, as well as MATLAB experience or other programming languages area required. Some background in neuroscience and EEG would be an advantage. For further information on entry requirements, please visit http://www.aston.ac.uk/lhs/research/postgraduate-research. *Application Procedure* Apply online (http://www.aston.ac.uk/study/postgraduate/apply/) and use the drop-down menus to select: ? School: School of Life and Health Sciences ? Entry month: July ? Attendance type: Full-time ? Degree type: Postgraduate Research ? Degree Programme: Research Neurosciences Please use the ?DeSOZ: Automatic Detection of Seizure Onset Zone from scalp EEG Signals in Children with MRE? as the project title and quote Ref: ?SCHOOL_FTJuly2018? on all applications *Studentship* Each studentship funds Home/EU tuition fees (?4,195 p.a.) plus a stipend of ?14,553 p.a. and is available for 3 years subject to a satisfactory progress review at the end of the first year. *Enquiries* Further information regarding the project can be obtained by contacting Dr. Manousos Klados (m.klados at aston.ac.uk) * Manousos A. Klados, MSc, PhD Lecturer in Biomedical Engineering Department of Biomedical Engineering School of Life & Health Sciences, Aston University Room: MB555 | Email: m.klados at aston.ac.uk Phone: +44(0)1212043740 Websites: http://www.mklados.com & http://www.aston.ac.uk/lhs/staff/az-index/mklados Address: The Aston Triangle, B47ET, Birmingham, UK * -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Fri Apr 27 07:40:15 2018 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 27 Apr 2018 11:40:15 +0000 Subject: Connectionists: Conference Registration now open, Travel Fellowships, Doctoral Consortium, ... In-Reply-To: References: , <7F764823-1B48-42D3-AE2E-520611D0232D@jhuapl.edu>, , , , , , , , , , , Message-ID: Apologies if you receive multiple copies. ------------------------------------------------------------------------------------------------------------------------------- SBP-BRiMS 2018 2018 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 10-13, 2018, Lehman Auditorium, George Washington University, Washington DC, USA http://sbp-brims.org/2018/ Conference Registration: Registration is now open for the 2018 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), George Washington University, Washington DC, USA, July 10 ? July 13, 2018. You can register at the website: http://sbp-brims.org/2018/registration/ Travel Fellowships: A limited number of fellowships is available for Student Travel Fellowships, and for Diversity Fellowships. Diversity Fellowships will be awarded based on gender, racial, and disciplinary diversity. For more details, visit the conference website http://sbp-brims.org/2018/, and check the menu for Scholarships, under "Conference Information". Application Deadline is June 20, 2018. Doctoral Consortium: We are also accepting submissions for the Doctoral Consortium. Check the link: http://sbp-brims.org/2018/doctoral_consortium/ Deadline: May 14, 2018 Challenge Problem Submission: Also, check our Challenge Problems, and submit an entry. http://sbp-brims.org/2018/challenge/ Deadline: May 14, 2018. Please visit the http://sbp-brims.org/2018/ website for more information about the conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: From lchen at udc.edu Fri Apr 27 09:22:17 2018 From: lchen at udc.edu (Chen, Li) Date: Fri, 27 Apr 2018 13:22:17 +0000 Subject: Connectionists: I-SPAN 2018 CFP Message-ID: The deadline of submission is extended to May 25. ********************************* I-SPAN 2018 CFP ********************************* The 15th International Symposium on Pervasive Systems, Algorithms, and Networks (I-SPAN 2018) https://grid.chu.edu.tw/ispan2018/index.php Yichang, China, October 16-18, 2018 INTRODUCTION ============= Pervasive systems, intelligent Algorithms, and Networks are emerging fields of research and revolutionary paradigm for next-generation IT applications. The 15th International Symposium on Pervasive Systems, Algorithms, and Networks (I-SPAN 2018) aims to establish an international forum for engineers and scientists to present their excellent ideas, latest innovations and experiences on Pervasive Systems, Algorithms, and Networks. The 15th International Symposium on Pervasive Systems, Algorithms, and Networks (I-SPAN 2018) follows the tradition of previous successful I-SPAN conferences, I-SPAN 1994 (Kanazawa, Japan), I-SPAN 1996 (Beijing, China), I-SPAN 1997 (Taipei, Taiwan), I-SPAN 1999 (Perth/Freemantle, Australia), I-SPAN 2000 (Dallas/Richardson, Texas, USA), I-SPAN 2002 (Manila, Philippines), I-SPAN 2004 (Hong Kong, China), I-SPAN 2005 (Las Vegas, USA), I-SPAN 2008 (Sydney, Australia), I-SPAN 2009 (Kaoshiung, Taiwan), I-SPAN 2011 (Dalian, China), I-SPAN 2012 (San Marcos, Texas), I-SPAN 2014 (Chengdu, China), I-SPAN 2017 (Exeter, UK). SCOPE AND TOPICS ================ Topics of interest include, but are not limited to: ?Track 1: Big Data Analytics and Applications ?Track 2: Cloud, Fog and Edge Computing ?Track 3: Health and Biomedical Informatics ?Track 4: Parallel, Distributed Algorithms and Graph Computing ?Track 5: Computer Networks, Web Service/Technologies, and Software Defined Networking ?Track 6: Mobile Computing and Communication ?Track 7: Artificial Intelligence and Nature-Inspired Computing ?Track 8: Global Networking and Cyber Security ?Track 9: Multimedia Communication and Computing ?Track 10: Internet of Things, Smart City, and Cyber-Physical Systems ?Track 11: Graphs and Networks IMPORTANT DATES ================ ?Workshop/special session proposal due: Apr. 30, 2018 ?Paper submission deadline: Apr. 30, 2018 ?Paper result notification: July 16, 2018 ?Final camera ready and registration: Aug. 15, 2018 PAPER SUBMISSION GUIDELINE ========================== Authors are invited to submit their original research that has not previously been submitted or published at any other venue. Submissions need to be prepared in IEEE CS format and submitted via the EDAS system, https://edas.info/newPaper.php?c=24288 For IEEE formatting information: see http://www.ieee.org/conferences_events/conferences/publishing/templates.html ? Proposals for organizing tutorials, workshops or special sessions need to be submitted to the Tutorials,Workshops and Special Sessions Chairs, respectively. A proposal should include title, theme, scope and main presenters/organizers. ? A research paper (8 pages) should explore a specific technology problem and propose a complete solution to it, with experimental results. ? A works-in-progress (WIP) (6 pages) paper is expected to present less developed but highly innovative ideas. ? A demo/poster paper (4 pages) must describe a working system and be related to I-SPAN. These systems may be innovative prototype implementations or mature systems that use related technology. Papers/ proposals need to be submitted to the Demo/Poster Chair. ? Workshop and Special Session papers need to be submitted to corresponding workshops and special sessions. PUBLICATION ========================== All accepted papers in the main tracks, workshops, special sessions and demos/posters will be published in an IEEE Computer Society proceedings (EI indexed). Extended versions of selected excellent papers will be considered for publication in special issues of prestige journals (SCI/EI indexed). ?Future Generation Computer Systems ?Journal of Supercomputing ?Journal of Computational Science ?International Journal of Grid and High-Performance Computing ?International Journal of Big Data Intelligence ?IEEE Transactions on Emerging Topics in Computing ?IET Intelligent Transport Systems -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Fri Apr 27 10:28:02 2018 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 27 Apr 2018 17:28:02 +0300 Subject: Connectionists: 10th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2018): Third Call for Contributions Message-ID: <461257DA-BB85-424A-9A1B-644C15BB6D67@cs.ucy.ac.cy> **** Third CALL FOR CONTRIBUTIONS **** (Papers, Tutorial/Workshop Proposals, Posters, Demos, PhD cons) The 10th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2018) Hilton Cyprus, Nicosia, Cyprus, 10-13 December, 2018 http://cyprusconferences.org/cloudcom2018/ CloudCom is the premier conference on Cloud Computing worldwide, attracting researchers, developers, users, students and practitioners from the fields of big data, systems architecture, services research, virtualization, security and privacy, high performance computing, always with an emphasis on how to build cloud computing platforms with real impact. The conference is co-sponsored by the Institute of Electrical and Electronics Engineers (IEEE), is steered by the Cloud Computing Association, and draws on the excellence of its world-class Program Committee and its participants. CloudCom 2018 will be held in Nicosia, Cyprus between 10-13 December, 2018. TOPICS OF INTEREST Topics of interest of CloudCom 2018 are grouped into four tracks: ? Architecture, Storage and Virtualization ? Cloud Services and Applications ? Security, Privacy and Trust ? Edge Computing and Distributed Cloud The (non-exhaustive) list of topics for each track is as follows: Track 1: Architecture, Storage and Virtualization Chairs: Luiz F. Bittencourt, University of Campinas (UNICAMP), Brazil, Ivona Brandic, TU-Wien, Austria ? Intercloud architecture models ? Virtual Machines (VMs), containers, unikernels and microservices ? Cloud services delivery models, campus integration & ?last mile? issues ? Virtualization technology and enablers (network virtualization, software-defined networking) ? Networking technologies ? Cloud system design with FPGAs, GPUs, APUs ? Storage & file systems ? Scalability & performance ? Resource provisioning, monitoring, management & maintenance ? Operational, economic & business models ? Green data centers ? Computational resources, storage & network virtualization ? Resource monitoring ? Virtual desktops ? Resilience, fault tolerance, disaster recovery ? Modeling & performance evaluation ? Disaster recovery ? Energy efficiency Track 2: Cloud Services and Applications Chairs: Laura Ricci, University of Pisa, Italy, Beniamino Di Martino, Seconda Universita? di Napoli, Italy ? XaaS (everything as a service including IaaS, PaaS, and SaaS) ? Cloud services models & frameworks ? Service deployment and orchestration in the Cloud ? Cloud service management ? Cloud workflow management ? Cloud services reference models & standardization ? Cloud-powered services design ? Cloud elasticity ? Machine learning and systems interactions ? Data management applications & services ? Service for computing-intensive applications ? Mining and analytics ? Data-provisioning services ? Cloud programming models, benchmarks, and tools ? Cloud-based services & protocols ? Fault-tolerance & availability of cloud services and applications ? Application development and debugging tools ? Business models & economics of cloud services Track 3: Security, Privacy and Trust Chairs: Martin Gilje Jaatun, University of Stavanger, Norway, Barbara Carminati, Insubria, Italy ? Accountability & audit ? Authentication & authorization ? Cloud integrity ? Blockchain Cloud services ? Cryptography in the Cloud ? Hypervisor security ? Identity management & security as a service ? Prevention of data loss or leakage ? Secure, interoperable identity management ? Trust & credential management ? Trust models for cloud services ? Usable security Risk management in cloud computing environments ? Privacy policy framework for clouds ? Privacy-preserving data mining for clouds ? Information sharing and data protection in the cloud ? Cryptographic protocols against internal attacks in clouds ? Privacy protection in cloud platforms ? Energy/cost/efficiency of security in clouds Track 4: Edge Computing and Distributed Cloud Chairs: Antonio Fernandez Anta, IMDEA, Spain, Sarunas Girdzijauskas, KTH, Sweden ? Cloudlet-enabled applications ? Distributed Cloud Infrastructure ? Foundations and principles of distributed cloud computing ? Architectural models, prototype implementations and applications ? Cloud brokers and coordination across multiple resource managers ? Interoperability and mobility ? Software infrastructure for cloudlets ? Dynamic resource, service and context management on edge computing ? Fog Computing ? IoT cloud architectures & models ? Cloud-based context-aware IoT ? Economics and pricing ? Experience with and performance evaluation of existing deployments and measurements (public, private, hybrid, federated environments) PAPER SUBMISSION GUIDELINES Submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Authors must submit their papers by the deadline indicated below, using the EasyChair submission system: https://easychair.org/conferences/?conf=cloudcom2018 . Only PDF files will be accepted. Manuscripts need to be prepared according to the IEEE CS format (https://www.ieee.org/conferences_events/conferences/publishing/templates.html). All regular paper submissions should be written in English with a maximum paper length of 8 pages. All submitted papers will be reviewed by at least three experts. Accepted papers must be presented at the conference. At least one author of each accepted paper must register to the conference, by the early date indicated by the organizers, and present the paper. The conference proceedings of CloudCom 2018 will be published by IEEE Conference Publishing Service with ISBN and ISSN, and submitted to IEEE Xplore and indexing services such as Ei Compendex. Distinguished papers will be recommended for fast-track publication in the IEEE Transactions on Cloud Computing or invited to be included within a number of special issues in prestigious international journals. CALL FOR TUTORIAL AND WORKSHOP PROPOSALS IEEE CloudCom 2018 is soliciting proposals for full-day / half-day workshops and Tutorials to be held in conjunction with IEEE CloudCom 2018. For more information on the tutorials and workshops and for the complete Call for Tutorial and Workshop Proposals, please see the conference website. CALL FOR POSTERS, DEMOS & SHORT PAPERS (Late-breaking Results) Authors are invited to submit their research work as a poster, demo or short paper (late-breaking results) to the CloudCom 2018 conference. For the complete Call for Call for Posters, Demos & Short Papers (Late-breaking Results) please see the conference website. CALL FOR PH.D. CONSORTIUM A Ph.D. consortium will be held in conjunction with IEEE CloudCom 2018 in Nicosia, Cyprus. For the complete Call for Ph.D. consortium, please see the conference website. IMPORTANT DATES ? Workshop Proposals Due: 30 April 2018 ? Tutorial Proposals Due: 30 June 2018 ? Regular Papers Due: 15 June 2018 ? Ph.D. Consortium Papers Due: 31 August 2018 ? Short Papers, Posters and Demos Due: 31 August 2018 ? Notification of Paper Acceptance: 14 September 2018 ? Camera Ready: 08 October 2018 ? Author Registration: 15 October 2018 ORGANIZING COMMITTEE GENERAL CHAIR ? George Angelos Papadopoulos, University of Cyprus, Cyprus PROGRAM CHAIRS ? George Pallis, University of Cyprus, Cyprus ? Sebastien Varrette, University of Luxembourg, Luxembourg PROGRAM TRACK CHAIRS ? Antonio Fernandez Anta, IMDEA, Spain ? Luiz F. Bittencourt, University of Campinas (UNICAMP), Brazil ? Ivona Brandic, TU-Wien, Austria ? Barbara Carminati, Insubria, Italy ? Martin Gilje Jaatun, University of Stavanger, Norway ? Sarunas Girdzijauskas, KTH, Sweden ? Beniamino Di Martino, Seconda Universita? di Napoli, Italy ? Laura Ricci, University of Pisa, Italy WORKSHOPS & TUTORIALS CO-CHAIRS ? Domenico Talia, University of Calabria, Italy ? Dimitrios Tsoumakos, Ionian University, Greece PH.D. COMSORTIUM CHAIR ? Achilleas Achilleos, University of Cyprus, Cyprus SHORT PAPERS, POSTERS & DEMO CHAIR ? Ioannis Konstantinou, NTUA, Greece PUBLICITY CHAIR ? Achilleas Achilleos, University of Cyprus, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Fri Apr 27 12:14:26 2018 From: Pavis at iit.it (Pavis) Date: Fri, 27 Apr 2018 16:14:26 +0000 Subject: Connectionists: Open PhD call 2018 - Italian Institute of Technology (Pattern Analysis & Computer Vision, PAVIS) and University of Genova In-Reply-To: References: Message-ID: <29c7552665204be791cbdc36a48614f9@iit.it> PhD Call for Applications 2018 - Italian Institute of Technology - Pattern Analysis & Computer Vision (PAVIS) and University of Genova PhD Course on SCIENCE AND TECHNOLOGY FOR ELECTRONICS AND TELECOMMUNICATION ENGINEERING, curriculum in "COMPUTATIONAL VISION, PATTERN RECOGNITION AND MACHINE LEARNING (CODE 6654)" Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together with the University of Genova opened the call for the 2018 Doctoral Course on Sciences & Technologies for Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning (www.iit.it/phd-school). 6 PhD positions are available at the Pattern Analysis and Computer Vision (PAVIS) Dept. to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes (for details see https://pavisdata.iit.it/data/phd/ResearchTopics2018_IIT-PAVIS.pdf): Theme A: Computer vision for behavioral analysis and activity recognition Theme B: Computer vision for the prediction of human intentions and activities Theme C: Human body modeling for Socially-Aware Computer Vision Theme D: Crowd behavioral analysis and event recognition Theme E: Re-identification Theme F: Multi-modal scene understanding Theme G: Biomedical imaging Theme H: Animal behavior analysis More info on the above research topics can be found at https://pavisdata.iit.it/data/phd/ResearchTopics2018_IIT-PAVIS.pdf or directly asked to Prof. V. Murino (pavis at iit.it), or any other tutor indicated in the list of themes. The PhD program on the listed themes will take place at the PAVIS department 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 (mainly related to surveillance/security and biomedical tasks). For more information, you can also browse the PAVIS webpages to see our activities and research at http://pavis.iit.it/ To apply, follow the instructions indicated at this link: https://www.studenti.unige.it/postlaurea/dottorati/XXXIV/ In short, the documentation to be submitted is a detailed CV, a research proposal under one or more themes chosen among those above indicated (please, see also a project proposal template at the link indicated below), reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. IMPORTANT: In order to apply, candidates must prepare a research proposal based on the research topics above mentioned. Please, follow these indications to prepare it: https://pavisdata.iit.it/data/phd/ResearchProjectTemplate_2018.pdf ONLINE APPLICATION DEADLINE is June 12th, 2018 at 12:00 p.m. (noon, Italian time/CET) - STRICT DEADLINE, NO EXTENSION. APPLICATIONS are possible through University of Genoa ONLINE PROCEDURE ONLY - https://www.studenti.unige.it/postlaurea/dottorati/XXXIV/ FURTHER INFO HERE: https://unige.it/usg/it/dottorati-di-ricerca AND HERE FOR FOREIGN STUDENTS: https://unige.it/usg/en/phd-programmes -------------- next part -------------- An HTML attachment was scrubbed... URL: From zeke.arneodo at gmail.com Fri Apr 27 12:21:12 2018 From: zeke.arneodo at gmail.com (Zeke Arneodo) Date: Fri, 27 Apr 2018 16:21:12 +0000 Subject: Connectionists: (no subject) Message-ID: -------------- next part -------------- An HTML attachment was scrubbed... URL: From lciti at essex.ac.uk Fri Apr 27 12:26:20 2018 From: lciti at essex.ac.uk (Luca Citi) Date: Fri, 27 Apr 2018 17:26:20 +0100 Subject: Connectionists: Special session on "Bayesian models for motor rehabilitation and control" @ICNR2018 Message-ID: <409c4381-1ad6-89c9-c498-0ffdd610f35a@essex.ac.uk> INTRODUCTION ----------------------------------------------- We invite contributions to a special session on "Bayesian models for motor rehabilitation and control" at the International Conference on NeuroRehabilitation (ICNR2018) that will take place in Pisa (Italy) from October 16th to 20th, 2018. This session's aim is to bring together scientists working on theoretical models and engineers working on rehabilitation and restoration devices. More information about the special session at: http://www.icnr2018.org/special-sessions-2/ ABSTRACT ----------------------------------------------- Bayesian statistics is a branch of statistics that provides a principled way of calculating how prior knowledge can be combined with observations in a statistically optimal way. Numerous studies have shown that many aspects of human behaviour (e.g. sensorimotor control) are close to ?Bayes? optimal?. Learning (or re-learning in the case of rehabilitation) can also be seen as the process of updating our priors based on new observations. It seems therefore natural to employ such models not only to describe neural processes but also to decode them for the purpose of improving the effectiveness of rehabilitation or for the control of a prosthetic device. From an implementation point of view, Bayesian models are also appealing because they may be better suited than other techniques for dealing with the smaller data sets that are typically available in biomedical engineering applications. This session?s goal is to promote and showcase cutting edge research in modeling human neuromotor control for the purpose of improving rehabilitation techniques or designing better control strategies for actuated prostheses. In particular, this special session is dedicated to understanding the potential benefits and limitations of applying Bayesian techniques to such problems. We envision the session will provide an interdisciplinary platform bringing together scientists working on theoretical models and engineers working on rehabilitation and restoration devices. Example topics may include but are not limited to: Bayesian model averaging, Markov-Chain Monte Carlo, sequential Monte Carlo, dynamic causal modeling, state-space modeling, hierarchical Bayesian modeling, non-parametric Bayesian inference, and their application to the aforementioned biomedical engineering problems. SUBMISSION INSTRUCTIONS ----------------------------------------------- Please submit your 2-page extended abstract through the Easy Chair platform (https://easychair.org/conferences/?conf=icnr2018) before May 15th, 2018. During the submission process, please select the special session code "SS1". Abstracts have to be formatted according to the ICNR2018 template, which can be downloaded at: http://www.icnr2018.org/call-for-papers A selection of the contributions will be published on a special issue on "IEEE Transactions on Neural Systems and Rehabilitation Engineering". CONTACTS ----------------------------------------------- For information on the special session, please contact Luca Citi (lciti at essex.ac.uk) For more general information about ICNR2018, please contact the conference organisers at http://www.icnr2018.org/contact/ From zfalomir at gmail.com Fri Apr 27 13:22:31 2018 From: zfalomir at gmail.com (Zoe Falomir) Date: Fri, 27 Apr 2018 19:22:31 +0200 Subject: Connectionists: QR'18 -- Last CFP Message-ID: ============================================================== QR?18 ? 31st International Workshop on Qualitative Reasoning LAST CALL FOR PAPERS ============================================================== Co-located at IJCAI-ECAI-18, Stockholm, Sweden, July 13-19, 2018 ============================================================== Web Page: http://homepages.abdn.ac.uk/pang.wei/pages/QR2018/index.html ============================================================== INTRODUCTION ------------ The Qualitative Reasoning (QR) community develops qualitative representations to understand the world from incomplete, imprecise, or uncertain data. Our qualitative models span natural systems (e.g., physics, biology, ecology, geology), social systems (e.g., economics, cultural decision-making), cognitive systems (e.g., conceptual learning, spatial reasoning, intelligent tutors, robotics), and more. The QR community includes researchers in Artificial Intelligence, Engineering, Cognitive Science, Applied Mathematics, and Natural Sciences, commonly seeking to understand, develop, and exploit the ability to reason qualitatively. This broadly includes: * Developing new formalisms and algorithms for qualitative reasoning. * Building and evaluating predictive, prescriptive, diagnostic, or explanatory qualitative models in novel domains. * Characterizing how humans learn and reason qualitatively about the (physical) world with incomplete knowledge. * Developing novel, formal representations to describe central aspects of our world: time, space, change, uncertainty, causality, and continuity. TOPICS ------ * Qualitative modeling in physical, biological and social sciences, and in engineering. * Representations and techniques for QR. * Methods that integrate QR with other forms of knowledge representation and computational approaches, including quantitative and semi-quantitative methods and machine learning. * Using QR for diagnosis, design, and monitoring of physical or biological systems. * Applications of QR, including education, science, and engineering. * Cognitive models of QR, including the use of existing QR formalisms for cognitive modeling and results from other areas of cognitive science for qualitative reasoning. * Using QR in understanding language, decision-making, sketches, images, and other kinds of signals and data sources. * Formalization, axiomatization, and mathematical foundations of QR. IMPORTANT DATES --------------- * Submissions deadline: **May 4, 2018** * Author notification: May 24-29, 2018 * Early registration date: **May 31, 2018** * Camera-ready paper: June 15, 2018 PAPER SUBMISSION ---------------- Three types of submissions are sought: theory, application, and demo oriented: * Theory contributions present novel ideas regarding representation and reasoning, and position this result in the context of known QR theory. * Application contributions present the use and evaluation of software implementing QR theory in actual real-world contexts. Evaluations can range from technology oriented (e.g. address software functioning in operational contexts) to human oriented (e.g. address usability or stakeholders and market related issues). * Demos focus on (novel) implementations of QR theory in software. They can be proof of concepts, but also mature products. Contributions typically address the extras needed to realize the implementation. Format: * Submissions must be in PDF format and not exceed 8 pages. * Submissions should be formatted according to the IJCAI author guidelines. * Submissions do not need to be anonymized; the author list and the author publications should read as they will in the camera-ready copy. Review Process: All submissions will be evaluated and selected according to their quality, significance, originality, and potential to generate discussion. Each contribution will be reviewed by at least two referees from the QR2018 Program Committee. Papers may be accepted for either oral or poster presentation. Papers should be submitted through the EasyChair platform at: https://easychair.org/conferences/?conf=qr18 PUBLICATION ----------- The accepted papers will be published as a collection of working papers. The format of the publication will be discussed with the authors after acceptance (eg. CEUR-ws.org or on-line without ISSN). ORGANIZATION ------------ George M. Coghill (primary contact) Department of Computing Science University of Aberdeen, UK g.coghill at abdn.ac.uk Zoe Falomir Bremen Spatial Cognition Centre (BSCC) Faculty of Computer Science and Mathematics University of Bremen, Germany zfalomir at uni-bremen.de Wei Pang Department of Computing Science University of Aberdeen, UK pang.wei at abdn.ac.uk PROGRAM COMMITTEE ----------------- Nuria Agell, ESADE - Ramon Llull University, Spain Jos? V. Alvarez, Universidad de Valladolid, Spain Elena Andonova, New Bulgarian University, Bulgaria Mehul Bhatt, University of Bremen, Germany Gautam Biswas, Vanderbilt University, USA Stefano Borgo, ISTC CNR, Italy Elizabeth Bradley, University of Colorado, USA Bert Bredeweg, University of Amsterdam, The Netherlands Ivan Bratko, University of Ljubljana, Slovenia Tony Cohn, University of Leeds, UK Maria Chang, IBM, USA Juan J. Flores, Universidad Michoacana, Mexico Ken Forbus, Northwestern University, USA Christian Freksa, University of Bremen, Germany Scott Friedman, Smart Information Flow Technologies, USA Joanna Goli?ska-Pilarek, University of Warsaw, Poland Luis Gonzalez-Abril, Universidad de Sevilla, Spain Hans Guesguen, Massey University, New Zealand Tomoya Horiguchi, Kobe University, Japan Liliana Ironi, IMATI - CNR, Italy Kamal Kansou, Centre de recherche Angers-Nantes, France Alexandra Kirsch, University of T?bingen, Germany Johan de Kleer, Palo Alto Research Center, USA Matthew Klenk, Palo Alto Research Center, USA Kate Lockwood, University of St. Thomas, USA Andrew Lovett, Northwestern University, USA Emilio Mu?oz-Velasco, University of Malaga, Spain Lled? Museros, University Jaume I, Spain Chris Price, Aberystwyth University, Wales, UK M?nica S?nchez, Universitat Polit?cnica de Catalunya, Spain Paulo Santos, Centro Universitario FEI, Brasil Qiang Shen, Aberystwyth University, Wales, UK Carl Schultz, Aarhus University, Denmark Steven Schockaert Cardiff University, UK Peter Struss, Technical University M?nchen, Germany Kazuko Takahashi, Kwansei Gakuin University, Japan Stefania Tentoni, IMATI - CNR, Pavia, Italy Louise Trav?-Massuy?s, LAAS-CNRS, France Jan O. Wallgr?n, Penn State University, USA Diedrich Wolter, University of Bamberg, Germany Jure Zabkar, University of Ljubljana, Slovenia -- ------------------------------------------------------------ Dr.-Ing. Zoe Falomir Llansola https://sites.google.com/site/zfalomir/home Twitter at @zfalomir ------------------------------------------------------------ This e-mail (including any attachments) is confidential and it's content is only for the exclusive use of the addressee/recipient. If you are not an intended recipient or an authorised representative of an intended recipient, you are prohibited from using, copying or distributing the information in this e-mail or its attachments. If you have received this e-mail by error, please notify the sender immediately by replying to the sender. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.clopath at imperial.ac.uk Sat Apr 28 03:16:59 2018 From: c.clopath at imperial.ac.uk (Clopath, Claudia) Date: Sat, 28 Apr 2018 07:16:59 +0000 Subject: Connectionists: Postdoc position in Computational Neuroscience in the Clopath lab Message-ID: <90C9B32E-ACDD-46ED-A3E5-AAB39C3D807C@ic.ac.uk> Postdoc position in Computational Neuroscience in the Clopath lab. ----------------------------------------------------- Computational Neuroscience Laboratory Headed by Dr. Claudia Clopath Department of Bioengineering Imperial College London -----------------Requirements:----------------- The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented Postdoc, interested in working in the field of computational neuroscience, specifically addressing questions of learning and memory. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), programing skills, and a keen interest in biological and neural systems. A PhD in the field of computational neuroscience is a plus. -----------------Research topic:----------------- Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The Postdoc candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in neural networks. ----------------- The lab:----------------------- The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/ ----------------- How to apply:----------------- Candidates should send a single pdf file, consisting of a 1-page motivation letter and CV (including publication list) to clopathlab.imperial at gmail.com, with the subject containing 'Postdoc2018'. In addition, candidates should organize two letters of reference to be sent to clopathlab.imperial at gmail.com, with the subject containing 'Postdoc2018'. The position is open until filled but the earlier applications will be considered first. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ret26 at cam.ac.uk Sat Apr 28 06:08:24 2018 From: ret26 at cam.ac.uk (Richard Turner) Date: Sat, 28 Apr 2018 11:08:24 +0100 Subject: Connectionists: Fwd: PhD position in machine learning In-Reply-To: References: Message-ID: Dear Connectionists, Please see below for details about an open PhD position at the University of Cambridge Machine Learning Group supervised by Dr. Richard E. Turner , Dr. Aditya Nori (Microsoft Research) and Prof. Andrew Blake . Best wishes, Rich *PhD Fellowship in Computer Vision and Machine Learning* Deep learning has revolutionised the field of computer vision, but requires access to large homogeneous datasets. Humans in contrast can learn new concepts from remarkably few labeled examples by leveraging information from a diverse set of sources (unlabelled examples, related tasks, etc.). This ability has been termed *visual fast mapping* in the psychology literature. The goal of this PhD project is to develop new machine learning techniques that support *visual fast mapping* being data-efficient and having the ability to leverage information from many different data sources. The new techniques will be tested on data sets of medical images and scenes for autonomous systems. The research is expected to impact both medical imaging and the way people interact with and train AI systems. The PhD position will be based in the Cambridge Machine Learning Group , supervised by Dr. Richard E. Turner . Dr. Aditya Nori (Microsoft Research) and Prof. Andrew Blake will co-supervise. The funding for this position comes from the Microsoft Research PhD Scholarship Programme . We encourage applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields, and a keen interest in doing basic research in computer vision and machine learning. A typical duration of a PhD in the machine learning group is four years. Applicants must formally apply through the GRADSAF system at the University of Cambridge by the deadline, indicating ?PhD in Engineering? as the course and denoting 'Turner' as the supervisor. This position is fully funded for UK and EU students. *Deadline: *May 21st 2018 Applications from outstanding individuals may be considered after this time, but this may adversely impact your chances for admission. Moreover, applications will be considered on a rolling basis and *Further information about completing the admissions forms:* The Machine Learning Group is based in the Department of Engineering, not Computer Science. We will assess your application on three criteria: *academic performance* (make sure to ensure evidence for strong academic achievement e.g. position in year, awards etc.) *references* (clearly your references will need to be strong, they should also mention evidence of excellence as quotes will be drawn from them) *research* (detail your research experience, especially that which relates to machine learning and computer vision) The form asks for a research proposal. Here we would like you to read around the research area and develop some initial ideas in this direction. We do not offer individual advice or feedback on the proposal as it is part of the assessment and want to be fair to all candidates. The research proposal should be about 2 pages long and can be attached to your application (you can indicate that you proposal is attached in the 1500 character count Research Summary box). This aspect of the application does not carry a huge amount of weight so do not spend a large amount of time on it. Please also attach a recent CV to your application too. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomas.hromadka at gmail.com Sat Apr 28 17:56:08 2018 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Sat, 28 Apr 2018 23:56:08 +0200 Subject: Connectionists: COSYNE 2018: Talks are available online Message-ID: <4ebe61ab-228b-38ee-e7de-bda90fe7447c@gmail.com> ==================================================== Computational and Systems Neuroscience (Cosyne) www.cosyne.org ==================================================== COSYNE 2018 TALKS AVAILABLE ONLINE We are pleased to announce that selected talks presented at Cosyne 2018 are now available online. Cosyne 2018 tutorial on 'Statistical models for neural data', presented by Jonathan Pillow, is available as well. Links to current playlists are available at www.cosyne.org. Best regards, Cosyne organizers From antonino.staiano at uniparthenope.it Sat Apr 28 05:25:28 2018 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Sat, 28 Apr 2018 11:25:28 +0200 Subject: Connectionists: CFP of VSI on: MACHINE LEARNING AND BIO-INSPIRED COMPUTATION AID TO INFORM COMPLEX ENVIRONMENTAL DECISIONS Message-ID: Call for Papers of Virtual Special Issue on: MACHINE LEARNING AND BIO-INSPIRED COMPUTATION AID TO INFORM COMPLEX ENVIRONMENTAL DECISIONS The call is available at *https://www.journals.elsevier.com/ecological-informatics/call-for-papers/call-for-papers-of-virtual-special-issue-on-machine-learning * *Guest Editors*: Antonino Staiano (a)?Friedrich Recknagel (b) (a). Department of Science and Technology, University of Naples Parthenope, Italy (b). School of Biological Sciences, University of Adelaide, Australia Scope: Environmental decision makers and scientists face highly dynamic and complex problems that require suitable quantitative tools for data analysis, synthesis and forecasting. To name just a few examples, forecasting of the export of nutrients from river basins, salinity, ozone levels, air pollution, algal growth and transport in lakes and rivers, or assessing risks of species extinction by bioinvasion and degradation of pesticides in soils, often exceed potential of statistical analysis and simple mathematical modeling. Machine learning techniques such as artificial neural networks, evolutionary algorithms, regression trees, fuzzy and neuro-fuzzy modeling as well as bio-inspired computation such as immuno-computing, prove to be very efficient in coping with highly complex and non-linear problems. The aim of the proposed special issue is to draw specialattention to current applications and future potential of machine learning and bio-inspired computation in the field of environmental analysis and management, and to stimulate interdisciplinary collaborations in this challenging research field. Researchers and practitioners in computer science, artificial intelligence, natural and environmental sciences are invited to submit papers on applications of machine learning and bio-inspired computation to problems like impacts of pollution, global warming, habitat degradation and bioinvasion on terrestrial and aquatic populations, communities and ecosystems, pesticide risk assessment. If you are interested in submitting a paper to the VSI, please submit your manuscript to the EVISE system https://www.evise.com/ profile/api/navigate/ECOINF. Authors must select ?VSI:AI-aided decision making? in the submission process. *The submission deadline is July, 15 2018.* Contact information: antonino.staiano at uniparthenope.it Antonino Staiano, PhD Dept. Science and Technology University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From bwyble at gmail.com Sat Apr 28 14:33:43 2018 From: bwyble at gmail.com (Brad Wyble) Date: Sat, 28 Apr 2018 14:33:43 -0400 Subject: Connectionists: Postdoc: Empirical/Computational visual cognition at Penn State University Message-ID: The laboratory of Brad Wyble at The Pennsylvania State University invites applications for an NSF-funded postdoctoral position. The key aim of our research is to understand the neural mechanisms of visual attention that extract meaningful representations from visual input.The lab?s multi-disciplinary approach is centered on computational neuroscience, with models informed by experiments involving psychophysics, EEG, virtual reality and eye tracking. The ideal applicant will have a PhD in psychology, neuroscience, computer science, or a related field, a background that includes computer programming experience, and an interest in understanding the foundational mechanisms linking vision, attention and memory. We are looking for a postdoc interested in conducting research that involves a tight coupling of neural decoding and computational models of neural function related to these topics. Applicants with other interests will be considered as well. The lab?s ongoing research and recent publications are detailed at http://wyblelab.com. The position is funded for two years, with a possible extension to three years. Salary and benefits follow NSF/NIH guidelines. Applicants should submit an application online at https://psu.jobs/job/77797 and should include as attachments a CV, several reprints, and a 1-2 page statement of research interests. This statement should describe the candidate`s goals for research and training during a postdoctoral position, including previous experience. Applicants should arrange for two letters of recommendation to be sent separately to wyblepostdoc at gmail.com. Review of applications will begin immediately and will continue until the position is filled. Please feel free to contact Brad Wyble (bwyble at gmail.com) if you have any questions prior to applying. We encourage applications from individuals of diverse backgrounds. Employment will require successful completion of background check(s) in accordance with University policies. Penn State is committed to affirmative action, equal opportunity, and diversity of its workplace -- Brad Wyble Associate Professor Psychology Department Penn State University http://wyblelab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From felix.putze at uni-bremen.de Mon Apr 30 01:43:17 2018 From: felix.putze at uni-bremen.de (Felix Putze) Date: Mon, 30 Apr 2018 07:43:17 +0200 Subject: Connectionists: 1st CfP to the ICMI 2018 Workshop on Modeling Cognitive Processes from Multimodal Data Message-ID: <00336127-9c64-d1fd-4502-ca282c8a3a8f@uni-bremen.de> === ICMI 2018 Workshop on Modeling Cognitive Processes from Multimodal Data === When & Where: October 16th, 2018 @ ACM ICMI in Boulder, Colorado, USA Submission deadline: July 30th Website: https://www.uni-bremen.de/csl/icmi-2018-mcpmd.html ====================================================================== Multimodal signals allow us to gain insights about internal cognitive processes of a person, for example: a) Speech and gesture analysis yields cues about hesitations, knowledgeability, or alertness, b) eye tracking yields information about a person's focus of attention, task, or cognitive state, c) brain activity captured by EEG yields information about a person's cognitive load or information appraisal. Capturing cognitive processes is an important research tool to understand human behavior as well as a crucial part of a user model to an adaptive interactive system such as a robot or a tutoring system. As cognitive processes are often multifaceted, a comprehensive model requires the combination of multiple complementary signals. In this workshop at the ACM International Conference on Multimodal Interfaces (ICMI) conference in Boulder, Colorado, USA, we will discuss the state-of-the-art in monitoring and modeling cognitive processes from multimodal data. We welcome the presentation of evaluation studies, theoretical considerations, data corpora, and novel approaches for modeling and processing of biosignals. Potential topics include but are not limited to: * Multimodal workload and stress estimation * Multimodal attention and memory modeling * Multimodal engagement/frustration/confusion estimation * Eye tracking in the wild * Brain-Computer Interfaces and psychophysiological interfaces * Cognitive modeling * Experiment design for cognitive processes * Cognition-adaptive human-computer interfaces Organizers: * Felix Putze, University of Bremen * Jutta Hild, Fraunhofer IOSB * Enkelejda Kasneci, University of T?bingen * Akane Sano, MIT Media Lab/Cornell University * Erin Solovey, Drexel University * Tanja Schultz, University of Bremen See also our workshop website to keep up to date about news regarding the submission process, announcement of keynote speakers, the workshop program and other important information: https://www.uni-bremen.de/csl/icmi-2018-mcpmd.html *Submission deadline: July 30^th , 2018* Notification of acceptance: September 9^th , 2018 Camera-ready manuscript due: September 16^th , 2018 Workshop date: October 16^th , 2018 Best, Felix Putze -- Dr.-Ing. Felix Putze E-Mail: felix.putze at uni-bremen.de Phone: +49 421 218 64272 University of Bremen Cognitive Systems Lab (CSL) Enrique-Schmidt-Stra?e 5 (Cartesium) 28359 Bremen -------------- next part -------------- An HTML attachment was scrubbed... URL: From chen.yanover at gmail.com Mon Apr 30 03:11:11 2018 From: chen.yanover at gmail.com (Chen Yanover) Date: Mon, 30 Apr 2018 07:11:11 +0000 Subject: Connectionists: 2018 ACIC Causal Inference Data Challenge: deadline extension Message-ID: < Please distribute, apologies for multiple postings > **** Deadline extended **** We are happy to announce the third causal inference data challenge, taking place as part of the 2018 Atlantic Causal Inference Conference (ACIC) conference. The challenge focuses on computational methods of inferring causal effects from real-world healthcare-related data and extends the previous challenges in two main respects: + Evaluating performance as a function of the size of the dataset + Using censored outcome (i.e. missing outcome values for some of the samples) For more information see https://www.cmu.edu/acic2018/data-challenge/index.html *Submission deadline: May 7, 2018*. Results will be announced during the conference, May 22-23, in Pittsburgh, PA. The challenge is organized this year by Prof Ashley Naimi (University of Pittsburgh) and supported by the Machine Learning for Healthcare and Life Sciences group at IBM Research - Haifa. -- Chen Yanover Machine Learning for Healthcare and Life Sciences IBM Research - Haifa -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.henderson at idiap.ch Mon Apr 30 05:47:13 2018 From: james.henderson at idiap.ch (James Henderson) Date: Mon, 30 Apr 2018 11:47:13 +0200 Subject: Connectionists: Two PhD positions in deep learning for Natural Language Understanding at Idiap (Switzerland) Message-ID: <088a00bc-51a2-bdd2-a300-59909a9de918@idiap.ch> The Idiap Research Institute seeks qualified candidates for two PhD student position in the field of natural language understanding, developing deep learning methods for textual entailment and opinion summarisation. The research will be conducted in the framework of the Swiss NSF funded project Learning Representations of Abstraction for Opinion Summarisation.? One of the successful candidates will investigate modelling abstraction relationships between texts (textual entailment), and the other will investigate summarising large collections of opinions (opinion summarisation).? Opinion summarisation must abstract away from the details of individual opinions to find consensus statements which are entailed by a significant proportion of opinions. This project will model these natural language understanding tasks through fundamental advances in representation learning and deep learning architectures.? The work will start from Dr. Henderson's work on modelling abstraction in deep learning architectures, where learned vectors represent entailment rather than the usual similarity.? Successes in the unsupervised learning of word vectors for entailment will be extended to deep learning architectures for the compositional semantics of texts.? Methods for finding the intersection of information in vectors will be extended to clustering texts by? their shared content and generating abstract summaries. The ideal PhD candidate should hold a Master degree in computer science, computational linguistics or related fields. She or he should have a background in machine learning, optimisation, or natural language processing.? The applicant should also have strong programming skills. The successful PhD candidates will join the Natural Language Understanding group at Idiap, under the supervision of Dr. James Henderson.? They will also become doctoral students at EPFL (http://www.epfl.ch) conditional on parallel application to, and acceptance by, the EPFL Doctoral School (http://phd.epfl.ch/applicants). Appointment for the PhD position is for a maximum of 4 years, provided successful progress, and should lead to a dissertation. Annual gross salary ranges from 47,000 Swiss Francs (first year) to 50,000 Swiss Francs (last year). Starting date is to be negotiated, within 2018. All queries related to the advertised position can be sent to Dr. James Henderson (james.henderson at idiap.ch). Please apply online here: http://www.idiap.ch/webapps/jobs/ors/applicant/position/index.php?PHP_APE_DR_9e581720b5ef40dc7af21c41bac4f4eb=%7B__TO%3D%27detail%27%3B__PK%3D%2710241%27%7D Idiap is an independent, not-for-profit, research institute funded by the Swiss Federal Government, the State of Valais, and the City of Martigny, in a scenic region surrounded by the highest mountains of Europe, offering exceptional quality of life, and within close proximity to Lausanne and Geneva.? Idiap is an equal opportunity employer and is actively involved in the "Advancement of Women in Science" European initiative. Sincerely, ? - James Henderson ??? james.henderson at idiap.ch From J.Verhoef at donders.ru.nl Mon Apr 30 09:35:01 2018 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Mon, 30 Apr 2018 13:35:01 +0000 Subject: Connectionists: 2 Postdoc Positions available, Language in Interaction consortium, Nijmegen Message-ID: <11E9E0B371DBAE4EB859A9CC30606A04526C1E0B@exprd01.hosting.ru.nl> 2 Postdoc Positions available Big Question 4 Scientific summary We aim to characterise variation in language processing and learning skills and to determine how these variations relate to those in the underlying biology of individual participants. The project has two strands: Strand A focuses on language processing skills in young adults, and Strand B on language learning skills in children and adults. Strand A will develop a comprehensive battery of language tasks targeting sound, meaning, and grammatical processing of words and longer utterances during speaking and listening. In addition, tasks will be selected or developed assessing general cognitive skills that are likely to affect performance in language tasks. The battery will be normed on a demographically representative sample of 1000 young adults (aged 18-30 years). Strand B uses variability in learning ability to investigate why second-language acquisition can become harder in adulthood. It will consist of two sub-projects, one on grammar learning and one on word learning. In each sub-project, a large number of child, adolescent and adult Dutch participants (aged 8-30 years) will be tested using behavioural and neuroimaging techniques. Two four-year full-time positions are currently open. The preferred starting date for both positions is September 1st 2018. Position specific information Please find descriptions of the available positions below. Interested? Information on the application procedure or Apply directly Postdoc Position 1 Determining neurobiological underpinnings of linguistic skills Content Description This postdoc will manage the sub-project on the neurobiology of language processing within Strand A. In this subproject we use structural MRI, resting state and task-based fMRI and Diffusion Weighted Imaging to determine the individual arrangements of the language connectome. Neuroimaging data will be acquired from about a third of the sample recruited for norming of the test battery (i.e. ~360 people). The task of the postdoctoral fellow will be to develop appropriate test paradigms, pilot them, organize the assessment of the main sample, and take the lead in the data analyses and reporting. Requirements Candidates should have a PhD degree (or equivalent) in the neurobiology of language or a closely related field of study. They should be familiar, ideally, with running and analysing MRI data (including DTI data), with carrying out psycholinguistic experiments, and with research on individual differences. They should also have excellent organizational and communicative skills, and programming abilities and they should have knowledge and experience in current data analysis techniques. They should have demonstrable interest in language processing and in the cognitive neuroscience of language. Applications from excellent candidates with a less than ideal profile will also be considered. Women and members of minority groups are especially encouraged to apply. Embedding and Terms of employment This position will be held at the Donders Institute, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, The Netherlands. * Employment: 1.0 FTE; * in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; * a maximum gross monthly salary of ?4,757 based on a 38-hour working week (salary scale 11); * you will be appointed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 30 months. * the Collective Labour Agreement (CAO) of Dutch Universities is applicable to this position; * you will be classified as a Researcher, Level 3 in the Dutch university job-ranking system (UFO); Further information about Postdoc Position 1 Please contact: Prof. dr. Peter Hagoort or Prof. dr. Antje Meyer Postdoc Position 2 Individual differences in word learning Content Description This postdoc will manage the sub-project within Strand B on word learning. In this sub-project, a large number of child, adolescent, and adult (age 8-30 years) Dutch participants will be tested using behavioural and neuroimaging techniques. Behavioural tasks will include a battery of cognitive tests, the battery of language tasks generated by Strand A, measures of English and Dutch proficiency, and critically, a training task on learning new words. Neuroimaging will include functional MRI, and Diffusion Tensor Imaging (DTI). The goal is to characterize variability in word learning abilities by linking performance on the training task to the other behavioural data and to the functional and structural neural measures. Why do some individuals find it easier to learn language, and why do aspects of language learning change with age? Requirements Candidates should have a PhD degree (or equivalent) in the cognitive neuroscience of language learning, memory, or a closely related field of study. They should be familiar, ideally, with running and analyzing MRI data (including DTI data), with carrying out psycholinguistic experiments, with research on individual differences, and with testing children, although the actual data acquisition will be performed primarily by research assistants. They should also have excellent organizational and communicative skills and programming abilities and they should have knowledge and experience in current data analysis techniques. They should have demonstrable interest in language acquisition (prior work on word learning would be especially welcome) and in the cognitive neuroscience of language and/or memory. They should ideally be a proficient speaker of Dutch. Applications from excellent candidates with a less than ideal profile will also be considered. Women and members of minority groups are especially encouraged to apply. Embedding and Terms of employment This position will be held at the Donders Institute, Centre for Medical Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands. * Employment: 1.0 FTE; * a maximum gross monthly salary of ?4,917 based on a 36-hour working week (salary scale 11); * in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; * you will be appointed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 30 months; * the Collective Labour Agreement (CAO) of Dutch University Medical Centres is applicable to this position. Further information about Postdoc Position 2 Please contact: Prof. dr. Guill?n Fern?ndez or Prof. dr. James McQueen -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc2018 at gmail.com Mon Apr 30 08:57:47 2018 From: iswc2018 at gmail.com (Maribel Acosta) Date: Mon, 30 Apr 2018 14:57:47 +0200 Subject: Connectionists: [CfP] ISWC 2018 - Call for Papers (Industry, P&D, Outrageous Ideas) Message-ID: *17th International Semantic Web Conference (ISWC 2018)Monterey, California (USA), October 8-12, 2018This is an announcement of the ISWC 2018 call for papers.Upcoming deadline (June 1): Industry Track, Poster and Demos, Outrageous Ideas TrackWebsite: http://iswc2018.semanticweb.org Facebook: https://www.facebook.com/groups/InternationalSemanticWebConference Twitter: @iswc2018 (https://twitter.com/iswc2018 )Important dates: http://iswc2018.semanticweb.org/important-dates/ In this announcement:1. Call for Papers: Industry Track2. Call for Papers: Poster and Demos3. Call for Papers: Outrageous Ideas Track1. Call for Papers: Industry Track==========================================The industry track seeks to present the state of adoption of semantic technologies in industrial settings. Semantics is used in applications in many industries, including media, financials, telecommunications, healthcare, life sciences, government, intelligence, smart cities, and cultural heritage. It enables applications capabilities as varied as business intelligence, analytics, search, content management, knowledge management, recommendation systems, information extraction and data integration.We encourage results and ideas from companies large and small. We welcome contributions about success stories as well as experience reports and discussions of obstacles that stand in the way of large-scale adoption of semantic technologies.Detailed info: http://iswc2018.semanticweb.org/call-for-industry-track-submissions/ == Important Dates == Full papers due: June 1, 2018Notifications: June 22, 2018Camera-ready due: July 20, 2018== Program Chairs ==* Vanessa Lopez, IBM Research, Ireland* Kavitha Srinivas, Rivet Labs, USA2. Call for Papers: Poster and Demos==========================================The ISWC 2018 Posters and Demonstrations complement the paper tracks of the conference and offer an opportunity for presenting late-breaking research results, on-going research projects, and speculative or innovative work in progress. The informal setting of the Posters and Demonstrations encourages presenters and participants to engage in discussions about the work. Such discussions can be invaluable inputs for the future work of the presenters, while offering participants an effective way to broaden their knowledge of the emerging research trends and to network with other researchers.We invite submissions relevant to the area of the Semantic Web and which address, but are not limited to, the topics of the Research Track; the In-Use Track; and the Resource Track. Technical posters, reports on Semantic Web software systems (free or commercial), descriptions of completed work, and work in progress are all welcome. Demonstrations are intended to showcase innovative Semantic Web related implementations and technologies, both in academia and in industry.Detailed info: http://iswc2018.semanticweb.org/call-for-posters-demos/ == Important Dates == Full papers due: June 1, 2018Notifications: June 22, 2018Camera-ready due: July 24, 2018== Program Chairs ==* Medha Atre, Indian Institute of Technology Kanpur, India* Marieke van Erp, KNAW Humanities Cluster, the Netherlands3. Call for Papers: Outrageous Ideas Track==========================================The Outrageous Ideas track is back to ISWC! Similarly, as in 2011, this track is sponsored by the prestigious CCC Blue Sky ideas and solicits visionary ideas, long term challenges, and opportunities in the semantic web research that are outside of the current topics in the field and are not mature or specific enough to be accepted in the regular research track. The contributions should find the right arguments to convince that the proposed topic is promising and should relate the talk as much as possible to the existing literature from relevant fields, possibly also fields outside the Semantic Web Community.Detailed info: http://iswc2018.semanticweb.org/call-for-outrageous-ideas-track-papers/ == Important Dates == Full papers due: June 1, 2018Notifications: June 22, 2018Camera-ready due: July 20, 2018== Program Chair == * Carolina Fortuna, JSI, SloveniaAll deadlines are midnight Hawaii time.The ISWC Organising Committee (http://iswc2018.semanticweb.org/organization/ )* -------------- next part -------------- An HTML attachment was scrubbed... URL: From Vincze at acin.tuwien.ac.at Mon Apr 30 03:58:34 2018 From: Vincze at acin.tuwien.ac.at (Markus Vincze) Date: Mon, 30 Apr 2018 07:58:34 +0000 Subject: Connectionists: 10 PhD Positions in Doctorate College "TrustRobots" at TU Wien Message-ID: <700346aff456415faea03b678f629c87@acin.tuwien.ac.at> 10 PhD positions in the Doctoral College ?Trust in Robots ? Trusting Robots? http://trustrobots.eu/ TU Wien is currently establishing an interdisciplinary Doctoral College (DC) on ?Trust in Robots ? Trusting Robots? to foster cutting-edge research in robotics and AI at the TU Wien. The main objective of the DC is, to comprehensively analyse ?trust? in the context of robot technology from various perspectives including but not limited to social sciences and economics, computer science and mathematics, electrical and mechanical engineering, and architecture. We offer Topics in the DC comprise the following areas, all with a joint focus on trust building: ? Understanding social agency and anthropomorphism in social robotics ? Creating trust through body language, joint attention, and scene understanding in human-robot interaction ? Advanced control, vision and cognition concepts for safe human robot cooperation in uncertain and dynamic environments ? Skepticism, confidence, and overconfidence in decisions and actions of robots ? Division of labor and trust in hybrid manufacturing settings More details on the 10 PhD positions and topics, the structure of the DC, the course program and the application process can be found at http://www.trustrobots.eu/. Come and join us! The TU Wien is a great place to work and has approx. 4.700 employees and 30.000 students. It is located in the very centre of the city and has a longstanding, internationally recognized reputation for research, innovation and entrepreneurship in the heart of Europe. Vienna has been awarded nine times in a row the title ?best city to live in worldwide?, for humans and robots ?, by the Mercer Quality of Living Ranking. The DC will fund 10 PhD positions, each 25h/week, for the duration of 3 years. Additionally, we will offer funding for the attendance of international conferences and summer schools. The yearly salary for the PhD position is regulated in the collective agreement for Austrian Universities and is, depending on previous relevant work experience, at least ? 24.452,40 for 25h/week. Additionally, TU Wien offers, upon availability, opportunities to join other funded research projects (up to 40h/week in total) and/or involve candidates in teaching. Duration of DC: September 1st 2018 to August 31st 2021 Application period: April 19th 2018 to Mai 31st 2018 Planned hearing: between June 18th 2018 and June 29th 2018 in Vienna The applicants will be selected through a hearing. To apply, please send (1) a full CV, (2) a conceptual proposal, and (3) relevant own work, e.g., selected papers, Master thesis, portfolio, etc. The conceptual proposal should focus on at least one of the proposed 10 topics offered in the DC (http://www.trustrobots.eu/). We expect a short (2-4 pages) formulation of the research question, how you would approach a solution, and your personal motivation including prior qualifications. We explicitly encourage interdisciplinary applications and applications from female candidates. Conforming to the gender equality policy of TU Wien, female candidates will be given priority in case of equivalent qualifications. Electronic applications have to be sent to: rene.fuchs at tuwien.ac.at only! For further details or inquiries, you can contact Markus Vincze vincze at acin.tuwien.ac.at or Sabine K?szegi sabine.koeszegi at tuwien.ac.at. Best regards Sabine K?szegi & Markus Vincze -------------- next part -------------- An HTML attachment was scrubbed... URL: From bcroughan at carboncopies.org Sun Apr 29 17:27:54 2018 From: bcroughan at carboncopies.org (Bill Croughan) Date: Sun, 29 Apr 2018 21:27:54 +0000 Subject: Connectionists: Carboncopies Seeking Research Volunteers for Whole Brain Emulation Message-ID: Carboncopies is looking for passionate scientists who can apply their scientific minds to big questions. Carboncopies is a non-profit organization dedicated to facilitating research related to whole-brain emulation. We are currently looking for volunteers to help us build a technical review of the current state of the art in related scientific fields, including *computational brain models, neuromorphic hardware, artificial intelligence, brain imaging, and others*. As a volunteer, you?ll work at your own pace to research current efforts in the areas and synthesize your findings for publication. You will gain exposure to exciting new areas of research, and work with like-minded scientists from around the globe. We are also looking for volunteers in other areas of our organization if you are interested in contributing in other ways. Please contact volunteer at carboncopies.org if interested, or with any questions you may have, or see our website at carboncopies.org for more information about our organization. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dtborek at gmail.com Mon Apr 30 20:31:59 2018 From: dtborek at gmail.com (Daniel Borek) Date: Tue, 1 May 2018 02:31:59 +0200 Subject: Connectionists: Late Bird call for the Brainhack Ghent 7-8th May 2018 [extended registration deadline] Message-ID: *[APOLOGIES FOR DOUBLE POSTING]Brainhack Ghent 2018 May 7-8, 2018University of Ghent, Ghent, Belgium !!! Registration deadline extended : noon 4 May 2018 !!!register here ? https://brainhackghent.github.io/#register On 7-8th May 2018, the second edition of Brainhack Ghent will take place at the university of Ghent (FPPW, Henri Dunantlaan 2, 9000 Ghent), as part of the Brainhack Global event (May 2-6). During this two-day event, dedicated to students and PhD students, we will work in teams on neuroscience-related projects.Brainhack integrates all levels of expertise and is also an opportunity to learn (new) methods, develop skills, share knowledge, collaborate with other participants and make new friendships in academia.During the ?hack sessions?, participants will be working together in small groups on relevant projects. The hackathon will end on the last day, when participants will have the opportunity to present a brief overview of the progress they made (project update). The projects that have already been submitted evolve around reproducibility, and EEG/fMRI analysis.Participants will be supervised and could receive advice on methods from other participants and project leaders throughout the two days.We also planned a series of several science related talks. Among others subjects you could learn about meta-analysis, science communication, and information theory.A constant flow of coffee will be provided during the event. During the event we will also ask a small fee for those who would want to be provided with some food from university cantine.You can register for Brainhack Ghent 2018 by going to https://brainhackghent.github.io/#register At this website, you can also submit a project which will be realised during the two-day event. Projects can be side projects, projects you were always interested in, but never had time to work on, new ideas you want to explore? In order to submit your project, proceed to the ?project submission? section, where you can specify the project author, a project title, and a short project outline specifying some scientific context and concrete goals. Of course, you?re always welcome to provide that extra bit of information to help your fellow Brainhackers in their project selection process! For example, you can provide 1-3 key papers related to the project, some requirements (e.g. certain programming skills) for taking part in the project, skills and competences that can be learned in the project... If you have any questions about the feasibility/added value/? of a project you want to submit, do not hesitate to contact us (brainhackghent2018 at gmail.com ). We will provide you with feedback as soon as possible! If you prefer to prepare a tutorial in addition to/ instead of submitting a project, you are certainly welcome to contact us as well! If you feel that the deadline ( noon 4th of May) for submitting the project/tutorial is too short for you and you need more time please let us know before that date!We hope to hear from you soon, and please feel free to forward this message to other colleagues whom might be interested!!The Organization Committee of BrainHack Ghent 2018* -- Daniel Borek PhD candidate Department of Data Analysis Ghent University Begijnhoflaan 464, B-9000 Gent, Belgium E-mail: daniel.borek at ugent.be -------------- next part -------------- An HTML attachment was scrubbed... URL: