From nicosia at dmi.unict.it Fri Dec 1 03:17:34 2017 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Fri, 1 Dec 2017 08:17:34 +0000 Subject: Connectionists: 1st CfP: 4th International Conference on machine Learning, Optimization & Data science - LOD 2018 Call for Papers - Paper submission deadline: March 31, 2018 Message-ID: [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 ************************* CALL FOR PAPERS ************************* Paper submission deadline: March 31, 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to LOD 2018, authors are required to select one of the following four types of papers: + Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format); + Short paper: an extended abstract of novel work (max. 4 pages); + Work for oral presentation only (no page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 (TBC). LOD 2018 Submission System All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2018 The deadline is March 31, 2018 LOD 2018 Important Dates + Paper Submission Deadline: March 31, 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! Giuseppe Nicosia & Panos Pardalos - LOD 2018 Chairs. 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From erishabh at gmail.com Fri Dec 1 10:00:45 2017 From: erishabh at gmail.com (Rishabh Mehrotra) Date: Fri, 1 Dec 2017 15:00:45 +0000 Subject: Connectionists: Deadline Extension: WSDM Workshop on Learning from User Interactions (8th December) Message-ID: *WSDM Workshop on Learning from User Interactions* We invite contributions to WSDM Workshop on Learning from User Interactions at WSDM 2018 to be held in Los Angeles, 6 - 8 Feb 2018. *TL;DR**:* 4-6 pages, in WSDM format, *submit by December 8th (23:59 AOE time)*. Workshop Website: https://task-ir.github.io/wsdm2018-learnIR-workshop/ Submission Link: Easychair Twitter: https://twitter.com/learnIRWSDM We intend to have a sponsored Best Paper award alongside potential registration support for students. *Overview* While users interact with online services (e.g. search engines, recommender systems, conversational agents), they leave behind fine grained traces of interaction patterns. The ability to understand user behavior, record and interpret user interaction signals, gauge user satisfaction and incorporate user feedback gives online systems a vast treasure trove of insights for improvement and experimentation. More generally, the ability to learn from user interactions promises pathways for solving a number of problems and improving user engagement and satisfaction. Understanding and learning from user interactions involves a number of different aspects - from understanding user intent and tasks, to developing user models and personalization services. A user's understanding of their need and the overall task develop as they interact with the system. Supporting the various stages of the task involves many aspects of the system, e.g. interface features, presentation of information, retrieving and ranking. Often, online systems are not specifically designed to support users in successfully accomplishing the tasks which motivated them to interact with the system in the first place. Beyond understanding user needs, learning from user interactions involves developing the right metrics and expiermentation systems, understanding user interaction processes, their usage context and designing interfaces capable of helping users. Learning from user interactions becomes more important as new and novel ways of user interactions surface. There is a gradual shift towards searching and presenting the information in a conversational form. Chatbots, personal assistants in our phones and eyes-free devices are being used increasingly more for different purposes, including information retrieval and exploration. With improved speech recognition and information retrieval systems, more and more users are increasingly relying on such digital assistants to fulfill their information needs and complete their tasks. Such systems rely heavily on quickly learnig from past interactions and incorporating implicit feedback signals into their models for rapid development. Topics Learning from User Interactions will be a highly interactive full day workshop that will provide a forum for academic and industrial researchers working at the intersection of user understanding, search tasks, conversational IR and user interactions. The purpose is to provide an opportunity for people to present new work and early results, brainstorm different use cases, share best practices, and discuss the main challenges facing this line of research. - User Needs & Tasks Understanding: - User intent analysis/prediction - User goals & missions - Task identification - Task aware suggestions & recommendations - User Modeling & Personalization: - Short and Long-term User Modelling - Personalization - Diversification - Coherence - Metrics and Evaluation : - Metrics based on user interactions - User engagement metrics design - Evaluation mechanisms - User satisfaction prediction - Controlled laboratory study - Online metrics - Test collection - User Interaction Processes & Context : - User Journey Optimization - Evolution of search process - Stages of user interactions - User journey through the system - Leveraging contextual signals - Learning for user interaction optimization: algorithms, frameworks & system designs - Intelligent interface designs: - Adaptive personal digital assistants - Tailored decision support - Adaptive collaboration support - Applications: - Conversational search, chatbots, digital assistants - Contextual Advertising - E-commerce recommendations - Customer Support - Intelligent interfaces - Personal search - Case studies of real world implementations Submission All workshop submissions must be formatted according to ACM SIG Proceedings template. We welcome submissions in either long or short format spanning 4-6 pages. Authors should submit original papers in PDF format through the Easychair system . This is a workshop where discussion is central, and all attendees are active participants. The workshop will include keynote talks to set the stage and ensure all attendees are on the same page. A small number of contributed papers will be selected for short oral presentation (15-10 minutes), all other papers have a 2 minute boaster, and all papers are presented as poster in an interactive poster session. The results will be disseminated in various ways: - A high quality, peer reviewed workshop proceedings, published in the http://ceur-ws.org/ workshop proceedings series. - A report on the results of the workshop in the ACM SIGIR Forum of June 2018. - If the outcome lives up to our high expectations, we will consider a special issue in an appropriate journal. Important Dates - Submission Deadline: 8th December 2017 (23:59 AOE) - Notification: 15th December 2017 - Workshop: 9th February 2018 Organizers 1. Rishabh Mehrotra (Spotify Research; University College London) 2. Emine Yilmaz (University College London; The Alan Turing Institute) 3. Ahmed Hassan Awadallah (Microsoft Research) You can contact us at learnIRwrkshp at gmail.com or at erishabh at gmail.com. Steering Committee: - Milad Shokouhi (Microsoft) - Fernando Diaz (Spotify) - Filip Radlinski (Google Research) - Evangelos Kanoulas (University of Amsterdam) -- Rishabh. Web: www.rishabhmehrotra.com Github: https://github.com/rishabhmehrotra/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From zemel at cs.toronto.edu Sat Dec 2 14:33:00 2017 From: zemel at cs.toronto.edu (Richard Zemel) Date: Sat, 2 Dec 2017 14:33:00 -0500 (EST) Subject: Connectionists: Vector Institute Openings Message-ID: The newly formed Vector Institute in Toronto, Canada is seeking applications for a number of Research Scientist and Postdoctoral Fellow openings in areas related to machine learning and deep learning and their applications, including natural language, health, robotics, transportation, biology, and vision. Several Vector Institute members will be attending NIPS this week, and available for informal discussions: Jimmy Ba, Juan Carrasquilla, David Duvenaud, Murat A. Erdogdu, Sanja Fidler, Anna Goldenberg, Roger Grosse, Dan Roy, Graham Taylor, Raquel Urtasun, Sageev Oore, and Richard Zemel These positions are part of a multi-year expansion in machine learning. We are seeking candidates with research interests and experience in the theory and application of machine learning and deep learning methods, with substantial publication records and strong research potential. Candidates from all areas of machine learning will be considered. Multiple positions are available. If you are attending NIPS and would like to know more about these positions, please contact one of us. ---------------------------------------------------------------- Richard Zemel Research Director, Vector Institute for Artificial Intelligence Professor, Dept. of Computer Science, University of Toronto Senior Fellow, Canadian Institute for Advanced Research From nargeschinichian at gmail.com Sat Dec 2 11:08:46 2017 From: nargeschinichian at gmail.com (Narges Chinichian) Date: Sat, 2 Dec 2017 19:38:46 +0330 Subject: Connectionists: BECNC 2018 Conference Message-ID: [Apologies for cross posting] Dear All I'm glad to announce that the "Brain Engineering & Computational Neuroscience Conference BECNC 2018" will be held on Jan 31 to Feb 2 in Tehran, Iran. Here is the link to register: https://becnc.ir/?page_id=452 Keynote Speakers: Prof. Tipu Aziz (Oxford Univ., UK) Prof. Kenneth Miller (Columbia Univ., USA) Prof. Reza Shadmehr (JHU, USA) Prof. Pieter Roelfsema (NIN, Netherlands) Prof. Alexandre Pouget (Univ of Geneva) Prof. Susana Martinez-Conde (SUNY, USA) Prof. Susan J. Sara (College de France) Prof. Winrich Freiwald (Rockefeller Univ, USA) Prof. Gregor Rainer (Univ. of Fribourg, Switzerland) Prof. James Bisley (UCLA, USA) Prof. Qasim Zaidi (SUNY, USA) Prof. Yasser Roudi (NTNU, Norway) Prof. Valentin Dragoi (UT, USA) Prof. Frank Scharnowski (Univ. of Z?rich, Switzerland) Prof. Alexander Thiele (Newcastle Univ., UK) Dr. Kamran Diba (Univ. of Michigan, USA) Dr. Ali Borji (UCF, USA) Dr. Qolamreza (Ray) Razlighi (Columbia Univ., USA) Dr. Morteza M. Goudarzi (MIT, USA) Dr. Koorosh Mirpour (UCLA, USA) Dr. Athena Akrami (Princeton Univ., USA) Dr. Yousef Salimpour (JHU, USA) Dr. Abbas Khani (Univ. of Geneva, Switzerland) see the complete list here: https://becnc.ir/?page_ id=91 Dates & Deadlines: Abstract and full paper submission opening: November 4, 2017 Abstract submission deadline: January 10, 2018 Full paper submission deadline: January 11, 2018 Conference registration deadline: January 23, 2018 Late conference registration deadline (limited number): January 30, 2018 Main event: January 31 ? February 2, 2018 There are also a workshop and a one-day course at the same time which you may like. the posters are attacehd. For more information, visit: https://becnc.ir/ Regards -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 1daycourse Type: application/octet-stream Size: 110130 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Workshop1 Type: application/octet-stream Size: 224583 bytes Desc: not available URL: From L.Wehenkel at uliege.be Sat Dec 2 04:13:21 2017 From: L.Wehenkel at uliege.be (Louis Wehenkel) Date: Sat, 2 Dec 2017 10:13:21 +0100 Subject: Connectionists: Call for papers: special session on Intelligent Power Systems at WCCI (Rio de Janeiro, 8-13 July 2018). Message-ID: <52f8120d-e753-b503-93ad-0c7d1a40165b@uliege.be> We are pleased to let you know that a special session on Intelligent Power Systems will be taking place at WCCI (Rio de Janeiro, 8-13 July 2018). Please consider to submit 8 page papers by January 15, 2018. For details see https://sites.google.com/view/intelligent-power-systems-wcci/accueil Thank you for your consideration. Best regards, Louis Wehenkel From P.Tino at cs.bham.ac.uk Sat Dec 2 09:02:10 2017 From: P.Tino at cs.bham.ac.uk (Peter Tino) Date: Sat, 2 Dec 2017 14:02:10 +0000 Subject: Connectionists: CfP WCCI-IJCNN 2018 Special Session on Advances in Reservoir Computing Message-ID: [Apologies if you receive multiple copies of this CfP] Call for Papers: Advances in Reservoir Computing Special Session for the 2018 IEEE World Congress on Computational Intelligence (WCCI) 2018 The International Joint Conference on Neural Networks (IJCNN) 2018 https://sites.google.com/view/reservoir-computing-ijcnn-2018 Paper submission deadline: 15 January 2018 IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil Scope and Topics During the last decade, Reservoir Computing (RC) has attested itself as a state of the art paradigm for efficient learning in the temporal domain. The extreme efficiency of the approach follows from limiting the training algorithm to only a readout component, while the temporal encoding process is carried out by a dynamical pool of recurrent neurons that, under certain conditions, is able to develop a rich representation of the temporal information even if untrained. The common paradigm has been instantiated into several models, among which the Echo State Network and the Liquid State Machine represent the most widely known ones. Since its origins, we have witnessed a progressively increasing popularization of the RC approach, especially by virtue of its ease of implementation and its extreme training efficiency. At the same time, several theoretical research lines strongly contributed in understanding the bias of untrained recurrent models, grounding the RC methodology on a solid mathematical basis and better delineating the potentialities and downsides of the approach. After 10 years since the introduction of the term "Reservoir Computing" into the neural networks literature, it is now time to sum up all the recent research initiatives in the field and start drawing its future. This session calls for both theoretical and applicative contributions emerging in the field of RC, aiming at stimulating an open discussion in the neural network community. The list of relevant topics for this session includes, but is not limited to, the following: Novel Reservoir Computing models Theoretical analysis of Reservoir Computing Physical implementations of Reservoir Computing Evolutions of the RC paradigm (e.g., conceptors) Biological motivations and applications in Neuroscience of Reservoir Computing Adaptation of reservoir dynamics and of system dynamics Deep Reservoir Computing models Reservoir Computing for learning in structured domains (trees, graphs, networks, ...) Reservoir Computing for Big Data Novel application fields for the RC paradigm Important Dates Paper submission deadline: 15 January 2018 Notification of acceptance: 15 March 2018 IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil Papers Submission Papers submission for this Special Session follows the same process as for the regular sessions of WCCI 2018. For further information and news in this regard, please refer the WCCI 2018 website: http://www.ecomp.poli.br/~wcci2018/ Special Session Organizers Claudio Gallicchio, (University of Pisa, Italy), Alessio Micheli, (University of Pisa, Italy), Simone Scardapane (Sapienza University, Italy), Peter Ti?o (University of Birmingham, UK). -- Peter Tino The University of Birmingham School of Computer Science Edgbaston, Birmingham B15 2TT, UK +44 121 414 8558 , fax: 414 4281 http://www.cs.bham.ac.uk/~pxt/ From julian at togelius.com Sat Dec 2 20:38:03 2017 From: julian at togelius.com (Julian Togelius) Date: Sat, 2 Dec 2017 20:38:03 -0500 Subject: Connectionists: Summer school on AI and Games Message-ID: In partnership with DeepMind and Ubisoft, Georgios Yannakakis and I are organizing a summer school on Artificial Intelligence and Games in Chania, Crete, Greece on 28th May - 1s June, 2018. http://school.gameaibook.org/ The academic content of the course will largely be based on our upcoming book on Artificial Intelligence and Games, and will include content on AI for playing games, AI for procedural content generation, and AI for player modeling. http://gameaibook.org/ This content will be complemented by lectures from leading industry experts on topics such as deep reinforcement learning and game analytics. We have secured guest lecturers from DeepMind and Ubisoft, and may yet add more lecturers. We plan to open registration early next year, but you can already now add your expression of interest to be first in line when registration opens - places will be limited. http://school.gameaibook.org/ Julian -- Julian Togelius Associate Professor, New York University Department of Computer Science and Engineering mail: julian at togelius.com, web: http://julian.togelius.com From jose at rubic.rutgers.edu Sun Dec 3 17:31:54 2017 From: jose at rubic.rutgers.edu (Stephen Jose Hanson) Date: Sun, 03 Dec 2017 17:31:54 -0500 Subject: Connectionists: Hanson Lab Rutgers Computation, neuroscience, neuroimaging Message-ID: <1512340314.2096.30.camel@rubic.rutgers.edu> Please note we participate in both Psychology and CMBN based on your interests (also although the Psych deadline has passed, it is still possible to apply, please CC me directly. Thanks. Stephen Jos? Hanson Professor of Psychology Director RUBIC (Rutgers Brain Imaging Center) Member of Cognitive Science Center (NB)Member EE Graduate Program (NB) Member CS Graduate Program (NB) Rutgers University? email: jose at rubic.rutgers.edu web: psychology.rutgers.edu/~jose lab: www.rumba.rutgers.edu fax: 866-434-7959 voice: 973-353-3313 (RUBIC) -------------- next part -------------- A non-text attachment was scrubbed... Name: flyer.pdf Type: application/pdf Size: 41898 bytes Desc: not available URL: From zakia_hammal at yahoo.fr Sun Dec 3 14:14:55 2017 From: zakia_hammal at yahoo.fr (zakia hammal) Date: Sun, 3 Dec 2017 19:14:55 +0000 (UTC) Subject: Connectionists: CFP: FGAHI@FG 2018, 1st International Workshop on Face and Gesture Analysis for Health Informatics References: <935954128.1210037.1512328495409.ref@mail.yahoo.com> Message-ID: <935954128.1210037.1512328495409@mail.yahoo.com> Apologies for cross-posting *********************************************************************************** FGAHI 2017: CALL FOR PAPERS 1st International Workshop on Face and Gesture Analysis for Health Informatics http://fgahi.isir.upmc.fr Submission Deadline: January 28th, 2018 *********************************************************************************** The 1st International Workshop on Face and Gesture Analysis for Health Informatics (FGAHI 2018) will be held in conjunction with IEEE FG 2018 on May 15-19, 2018, Xi?an, China ? https://fg2018.cse.sc.edu/ For details concerning the workshop program, paper submission, and guidelines please visit our workshop website at: http://fgahi.isir.upmc.fr Best regards, Zakia Hammal Organizing committee Kevin Bailly, Liming Chen, Mohamed Daoudi, Arnaud Dapogny, Zakia Hammal, and Di Huang Zakia Hammal, PhD The Robotics Institute, Carnegie Mellon University http://www.ri.cmu.edu/ http://ri.cmu.edu/personal-pages/ZakiaHammal/ From irodero at rutgers.edu Mon Dec 4 00:59:10 2017 From: irodero at rutgers.edu (Ivan Rodero) Date: Mon, 4 Dec 2017 05:59:10 +0000 Subject: Connectionists: Final call for registration and participation: 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017) co-located with the 4th International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017) Message-ID: <0462158B-7890-4CEF-B86B-A416C0B708D4@rutgers.edu> Final call for registration and participation for UCC and BDCAT 2017 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017) co-located with the 4th International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017) Austin, Texas, USA December 5-8, 2017 Program Highlights * Conference Keynotes from Internationally-Recognized Experts * Hands-On Tutorials on a Wide Variety of State of the Art Technologies * The 1st International Industry/University Workshop on Data-center Automation, Analytics, and Control (DAAC 2017) Tuesday, Dec. 5 * The 6th International Workshop on Clouds and (eScience) Applications Management (CloudAM 2017) in conjunction with the 1st International Workshop on Heterogeneous Distributed Cloud Computing (HDCC 2017) Tuesday, Dec. 5 * The 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017) Wednesday, Dec. 6-Thursday, Dec. 7 * The 4th International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017) Wednesday, Dec. 6-Friday, Dec. 8 * The 3rd International Symposium on Real-time Data Processing for Cloud Computing (RTDPCC 2017) Wednesday, Dec. 6 * The 1st International Workshop on Utility Clouds for the Internet of Things (UCIoT 2017) Thursday, Dec. 7 * The 4th International Workshop on Smart City Clouds: Technologies, Systems and Applications (SCCTSA 2017) Friday, Dec. 8 Context & Scope UCC is the premier IEEE/ACM conference covering all areas related to utility computing, cloud computing services, and other forms of advanced distributed computing. UCC provides an international forum for leading researchers and practitioners in this important and growing multidisciplinary area. UCC 2017 in Austin reflects the need to bring academics and industrial researchers together to discuss how to improve existing services and how to bring new applications into the cloud. Austin is a dynamic, international city both welcoming to visitors and full of music, culture, and entertainment. The conference registration includes breakfasts, lunches, and evening receptions including the opportunity to sign up for a space-limited tour of the Texas Advanced Computing Center, one of the flagship supercomputing centers of the international XSEDE project. Cloud Computing delivers computational resources on-demand as services that are commoditized and delivered comfortably analogous to traditional utilities such as electricity, gas, water and telephony. Cloud service offerings for compute, storage and communication resources as well as for hosted software and data are growing at a tremendous rate. It is essential to understand how to effectively transform these services into Utilities that provide value to both users and providers. There is also increasing interest from commercial providers to offer business and revenue models around the services they offer. Understanding how these models could be used to provide utility for users, intermediary brokers (aggregators) and providers is also an area of active research. This will be the 10th UCC in a successful conference series of UCC conferences. the past four of which have also included BDCAT and its predecessor events. Previous events were held in Shanghai, China (Cloud 2009), Melbourne, Australia (Cloud 2010 & UCC 2011), Chennai, India (UCC 2010), Chicago, USA (UCC 2012), Dresden, Germany (UCC2013), London, UK (UCC 2014), Limassol, Cyprus (UCC 2015) and Shanghai, China (UCC 2016). Following this 10th UCC in Austin, the next in this series of conferences will be held in Zurich, Switzerland in December 2018. Please join us for this exciting and multi-dimensional program of activities. Register now and reserve your lodging at the special conference rate of $189 plus tax per night to stay at the conference lodging venue to maximize the convenience of your stay in Austin. We look forward to seeing you there! -- ============================================================= Ivan Rodero, Ph.D. Associate Director, Associate Research Professor Rutgers Discovery Informatics Institute (RDI2) Rutgers, The State University of New Jersey Office: CoRE Bldg, Rm 624 96 Frelinghuysen Road, Piscataway, NJ 08854-8019 Phone: (732) 993-8837 ============================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From nnavarin at math.unipd.it Sun Dec 3 15:33:32 2017 From: nnavarin at math.unipd.it (=?utf-8?B?IkRyLiBOaWNvbMOyIE5hdmFyaW4i?=) Date: Sun, 3 Dec 2017 10:33:32 -1000 Subject: Connectionists: Call for papers: special session on Empowering Deep Learning Models at WCCI-IJCNN (Rio de Janeiro, 8-13 July 2018). Message-ID: <8FEDC7E6-30C6-4DCF-8BF6-0DA792EC6F90@math.unipd.it> Call for Papers Empowering Deep Learning Models Special Session for the 2018 IEEE World Congress on Computational Intelligence (WCCI) 2018, the International Joint Conference on Neural Networks (IJCNN) 2018 http://www.ecomp.poli.br/~wcci2018/ijcnn-sessions/#ijcnn8 Paper submission deadline: 15 January 2018 IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil Description In recent years, Deep Learning has become the go-to solution for a broad range of applications, often outperforming state-of-the-art. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, computer vision, drug discovery, genomics and many others. Scope and Topics The goal of this special session is to provide a forum for focused discussions on new extensions of deep learning models and techniques, and to gain a deeper understanding of the difficulties and limitations associated with state-of-the-art approaches and algorithms. Practitioners should provide practical insights to the theoreticians, which in turn, should supply theoretical insights and guarantees, further strengthening and sharpening practical intuitions and wisdom. Examples of these possible extensions are: -Multimodal and Multitask Deep Learning -Deep Transfer Learning -Deep Recurrent and Recursive Neural Networks -Deep Learning on Structured Data -Interpretability of Deep Learning -Private and Federated Deep Learning -Generative and Adversarial Deep Learning -Randomized Deep Learning (Deep ELM, Deep ESN, Deep Reservoir Computing) The focus of this special session is to attract both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations between the different fields of deep learning and other fields of research in solving real world problems. Both theoretical and practical results (e.g. Social Data Analysis, Speech, Natural Language Processing, Cybersecurity) are welcome to our special session. This special session is supported by the IEEE Task Force on Deep Learning. Important dates Paper Submission Deadline: 15 January 2018 Paper Acceptance Notification Date: 15 March 2018 Final Paper Submission and Early Registration Deadline: 1st May 2018 IEEE WCCI 2018: 08-13 July 2018 Special Session Organizers Nicol? Navarin (University of Padova, Italy), Luca Oneto (University of Genoa, Italy), Luca Pasa (Istituto Italiano di Tecnologia) and Alessandro Sperduti (University of Padova, Italy). ? Nicol? Navarin, PhD Research fellow University of Padova - Department of Mathematics via Trieste 63, 35121 Padova - Italy Tel. +39 049 8271476 E-mail: nnavarin at math.unipd.it Web: http://www.math.unipd.it/~nnavarin -------------- next part -------------- An HTML attachment was scrubbed... URL: From asier.erramuzpe at gmail.com Mon Dec 4 02:54:59 2017 From: asier.erramuzpe at gmail.com (Asier Erramuzpe Aliaga) Date: Mon, 4 Dec 2017 08:54:59 +0100 Subject: Connectionists: Call for Papers: SBP-BRiMS'2018 -- Social Computing, Behavior/Cultural Modeling, Prediction and Simulation Message-ID: On behalf of Donald Adjeroh: Apologies if you receive multiple copies ... 2018 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation July 10 (Tuesday) - 13 (Friday), 2018, George Washington University, Washington DC, USA http://sbp-brims.org IMPORTANT DATES: Regular Paper (10-page) Submission: 22-December-2017 Author Notification: 05-February-2018 Final Version Submission: 26-February-2018 Short/Late Breaking Paper (6-page) Submission: 14-May-2018 Tutorial, Demo, and Challenge Problem Submissions: 14-May-2018 Doctoral consortium submissions due: 14-May-2018 Author Notification: 01-June-2018 Final Version Submission for Short Papers: 18-June 2018 Final Version Submission for Challenge Problem: 25-June 2018 All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Top papers will be invited to publish an extended version in a special issue of Computational and Mathematical Organization Theory. All accepted regular papers will be published in our archival physical proceedings - the Springer LNCS volume. Short papers are intended for late breaking findings, research at a more conceptual stage, and other research not appropriate as a regular paper. Accepted short papers will be published only in our on-line non-archival proceedings. The conference will include the following special sessions: Pre-conference Tutorial Sessions: July 10 (first day of the conference) Graduate Consortium: July 13 Poster Session: At Conference Poster Night Technology Demos: During Conference lunch times and Poster Night Challenge Problem Evaluation: At Conference Poster Night Funding Panel & Cross-Fertilization Roundtable* * Previous SBP conferences have included a Cross-Fertilization and/or Funding Panels. The purpose of these panels is to help participants become better acquainted with people outside of their discipline and provide an opportunity for conference participants to interact with program managers from various federal funding agencies. FORMAT AND SUBMISSION: See our webpage (http://sbp-brims.org) for format details. For any questions and inquiries concerning submissions, please email at sbpbrims at andrew.cmu.edu. CALL FOR PAPERS: SBP-BRIMS is an interdisciplinary conference integrating methods from the computational sciences and the social sciences. Submissions are solicited on research issues, theories, methodologies, and applications. Late-breaking research is encouraged. Historical topics of interest have included the following, however this is by no means exhaustive or exclusive: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and evolution * Collective action, public opinion representation, and governance * Cultural patterns, representation, and psycho-cultural situation awareness * Social conventions, social contexts and influence processes * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking Information, Systems, & Network Science * Data mining and analytics on social media for social and human dynamics * Diffusion and other dynamic processes over networks * Detection and inference over network topologies and changes over time * Analysis of high-dimensional networks, link formations, and link types Military & Intelligence Applications * Evaluation, modeling and simulation of military capacities and political influence * Impact of technological innovation on influence and information spread * Group representation and profiling, including extremist behaviors and policies * Cybersecurity, cyber-policy, and attribution * Methods of collating open source data into information describing events and activities Applications for Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Model federation, validation and integration * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation TRAVEL SCHOLARSHIPS: It is anticipated that a limited number travel scholarships will be available on a competitive basis. Additional information will be provided on the SBP-BRiMS Conference website as it becomes available. -------------- next part -------------- An HTML attachment was scrubbed... URL: From valle at ime.unicamp.br Mon Dec 4 07:54:54 2017 From: valle at ime.unicamp.br (Marcos Eduardo Valle) Date: Mon, 4 Dec 2017 10:54:54 -0200 Subject: Connectionists: [CfP] WCCI 2018 Special Session -- Complex-Valued and Quaternionic Neural Networks Message-ID: <72f3d2c2-74d2-7d21-ee64-4981e538a10a@ime.unicamp.br> ***Apologies if you receive multiple copies of this call for papers.*** Call for Papers: Complex-Valued and Quaternionic Neural Networks Special Session for the 2018 IEEE World Congress on Computational Intelligence (WCCI 2018) http://www.ime.unicamp.br/~valle/IJCNN2018 Important Dates: ?15th January 2018 ? Paper Submission ?15th March 2018 ? Paper Acceptance ?1st May 2018 ? Final Paper Submission and Early Registration ?8-13 July 2018 ? IEEE WCCI 2018, Rio de Janeiro, Brazil Aim and Scope: Complex-valued neural networks (CVNNs) and quaternionic neural networks (QNNs) constitute a growing research area that has attracted continued interest for the last decade. One of the most important characteristics of CVNNs is the proper treatment of phase and the information contained in phase, e.g., the treatment of wave- and rotation-related phenomena such as electromagnetism, light waves, quantum waves, and oscillatory phenomena. QNNs, which have potential applications in three- and four-dimensional data modeling, have been effectively used for processing and analysis of multivariate images such as color and polarimetric SAR images. More generally, hypercomplex-valued neural networks ? which include CVNNs and QNNs, treat multidimensional data as a single entity. There are several new directions in hypercomplex-valued neural networks: from formal generalization of the commonly used algorithms to the hypercomplex case that are mathematically richer than regular neurons, to the use of original activation functions that can increase significantly the neuron and network functionality. There are also many interesting applications of HVNNs in pattern recognition and classification, nonlinear filtering, intelligent image processing, brain-computer interfaces, time-series prediction, bioinformatics, robotics, etc. The CVNNs special session, which indeed covers hypercomplex-valued models, has become a traditional event of the IJCNN conference. The 2018 IJCNN, which is an integrated part of 2018 IEEE WCCI, will be a very attractive forum for complex-valued and quaternionic neural networks. It will be possible to organize a systematic and comprehensive exchange of ideas in the area, to present the recent research results, and to discuss future trends. We hope the proposed session will attract not only potential speakers, but also many researches interested in joining the hypercomplex-valued neural network community. We expect that this session would be very beneficial for computational intelligence researchers and other specialties that are in need of the sophisticated neural networks tools. List of Topics: Papers that are, or might be, related to all aspects of the hypercomplex-valued neural networks, including CVNNs and QNNs, are invited. We welcome contributions on theoretical advances as well as contributions of applied nature. We also welcome interdisciplinary contributions from other areas that are on the borders of the proposed scope. Topics include, but are not limited to: 1. Theoretical Aspects of CVNNs and QNNs 2. Complex-Valued and Quaternion Activation Functions 3. Learning Algorithms for CVNNs 4. Complex-Valued and Quaternionic Associative Memories 5. Pattern Recognition, Classification and Time Series Prediction using CVCNNs and QNNs 6. CVNNs and QNNs in Nonlinear Filtering 7. Dynamics of Complex-Valued and Quaternionic Neurons 8. Learning Algorithms for CVCNNs and QNNs 9. Chaos in Complex Domain 10. Feedforward CVCNNs 11. Spatiotemporal CVNNs Processing 12. Frequency Domain CVNNs Processing 13. Phase-Sensitive Signal Processing 14. Applications of CVNNs and QNNs in Image Processing, Speech Processing and Bioinformatics 15 . Quantum Computation and Quantum Neural Networks 16. CVNN in Brain-Computer Interfaces 17. CVNNs and QNNs in Robotics 18. Clifford and Hypercomplex-valued Neural Networks Special Session Organizers: ?Marcos Eduardo Valle (University of Campinas, Brazil) ?Igor Aizenberg (Manhattan College, USA) ?Akira Hirose (University of Tokyo, Japan) ?Danilo Mandic (Imperial College, London, UK) We are looking forward to see you in Rio! -- Marcos Eduardo Valle Address: Departamento de Matem?tica Aplicada Instituto de Matem?tica, Estat?stica e Computa??o Cient?fica (IMECC) Universidade Estadual de Campinas Rua S?rgio Buarque de Holanda, 651 Cidade Universit?ria "Zeferino Vaz" - Distr. Bar?o Geraldo CEP 13083-859, Campinas - S?o Paulo, Brazil Phone: (+55) 019 3521-5992 Homepage: http://www.ime.unicamp.br/~valle From smartstart at fz-juelich.de Mon Dec 4 11:42:30 2017 From: smartstart at fz-juelich.de (Smart Start Coordination Office) Date: Mon, 4 Dec 2017 17:42:30 +0100 Subject: Connectionists: CALL FOR APPLICATIONS Message-ID: Call for applications Ready for a SMARTSTART into Computational Neuroscience? We invite first and second-year Master students with a background in related fields to apply to our joint training program SMARTSTART. The program aims at complementing previous studies with concepts, theories and techniques of Computational Neuroscience. SMARTSTART consists of two programs. Both of them last one year each and take place at numerous locations of the Bernstein Network and further locations throughout Germany. SMARTSTART 1 provides financial support to then second-year Master students, allowing them to attend supplementary courses and training visits at participating institutions. Students will receive an experienced faculty mentor who will advise and guide them at this educational stage. SMARTSTART 2 provides fully funded positions for pre-PhD students. At the start of the program, these students will have already obtained their Master?s degree and are in the process of selecting a PhD project. SMARTSTART 2 allows them to elaborate their own PhD proposal as a collaborative project between two labs. This comprises exchange visits as well as voluntary attendance of lectures and courses offered by participating institutions. Both SMARTSTART programs will commence in the winter term 2018/19. The Deadline for application is Tuesday, February 28, 2018. More information can be found on our website: www.smartstart-compneuro.de Best regards, Kathrin Hebert -- Coordination Office Smart Start - Joint Training Program in Computational Neuroscience 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 9593 mail: smartstart at fz-juelich.de web: www.nncn.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 bjerva at di.ku.dk Tue Dec 5 04:21:36 2017 From: bjerva at di.ku.dk (Johannes Bjerva) Date: Tue, 5 Dec 2017 09:21:36 +0000 Subject: Connectionists: *SEM 2018 - First Call for Papers (The Seventh Joint Conference on Lexical and Computational Semantics) In-Reply-To: References: Message-ID: *SEM 2018: THE SEVENTH JOINT CONFERENCE ON LEXICAL AND COMPUTATIONAL SEMANTICS June 5-6 2018, New Orleans (USA) Co-located with NAACL 2018 https://sites.google.com/view/starsem2018/ First Call for Papers We are pleased to announce that SIGLEX and SIGSEM, special interest groups of the ACL, are organizing the 7th Joint Conference on Lexical and Computational Semantics: *SEM. This time *SEM will be co-located with NAACL 2018 in New Orleans (USA), and it will take place on the 5-6 of June 2018. *SEM brings together researchers interested in the semantics of natural languages and its computational modeling. The conference embraces symbolic and probabilistic approaches, and everything in between; theoretical contributions as well as practical applications are welcome. The long-term goal of *SEM is to provide a stable forum for the growing number of NLP researchers working on all aspects of semantics. Topics of interest include, but are not limited to: Data-driven semantics Word sense disambiguation and induction Distributional and statistical semantics Meaning Representations Multiword and idiomatic expressions Semantic parsing and interpretation Frames and semantic role labeling Formal approaches to semantics Semantic ambiguity and underspecification Mathematical methods for semantics Temporal entities and relations Extraction of events and causal and temporal relations (Named) Entity linking Pronouns and coreference Single- and cross-document coreference Discourse semantics Discourse structure and presupposition Rhetorical relations Sentiment analysis Extra-propositional aspects of meaning Metaphor, irony, and figurative meaning Semantic annotation and evaluation Textual inference and question answering Generation and summarization Semantics for social media Knowledge mining and acquisition Semantic web and ontologies Ontology learning and population Grounding and wikification Multimodal computational semantics Comparative computational semantics IMPORTANT DATES -------------------------------- Papers submission due: March 2, 2018 Notification of acceptance: April 2, 2018 Camera-ready: April 16, 2018 *SEM conference: June 5-6, 2018 SUBMISSION INSTRUCTIONS ---------------------------------------------- Submissions to *SEM-2018 must describe unpublished work and be written in English. We solicit both long and short papers. Long papers describe original research and may consist of up to eight (8) pages of content, plus at most two extra pages for references. Final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. Long papers will be presented orally. Short papers describe original focused research, project or system description, and may consist of up to four (4) pages, plus one extra page for references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers comments in their final versions. Short papers will be presented as posters. Each submission will be reviewed by at least three reviewers. Final versions should take into account the comments from the reviewers. As the reviewing will be blind, the paper must not include the authors' names and affiliations. Furthermore, self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ..." must be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...". As for online paper sharing, at *SEM, we adopt the ACL policy for submission, which can be found here: https://aclweb.org/adminwiki/index.php?title=ACL_Policies_for_Submission,_Review_and_Citation. Papers that do not conform to requirements will be rejected without review. For a paper to be included in the conference proceedings, at least one of the authors must be registered as a participant at the *SEM conference. Papers will be submitted using the START system, which will be made available in due time. Please note that double submission of papers will need to be notified at submission. ORGANIZERS ----------------------- General Chair: Malvina Nissim, University of Groningen,The Netherlands Program Chairs: Jonathan Berant, Tel-Aviv University, Israel Alessandro Lenci, University of Pisa, Italy Publication chair: Emmanuele Chersoni, University of Pisa, Italy / Aix-Marseille University, France Publicity chair: Johannes Bjerva, University of Copenhagen, Denmark CONTACT ----------------- Contact email: starsem2018-chairs at googlegroups.com Conference website: https://sites.google.com/view/starsem2018/ Twitter: https://twitter.com/starsem2018 Facebook: https://www.facebook.com/starsem2018/ *SEM is pronounced "starsem". -------------- next part -------------- An HTML attachment was scrubbed... URL: From filippombianchi at gmail.com Tue Dec 5 06:00:22 2017 From: filippombianchi at gmail.com (filippo bianchi) Date: Tue, 5 Dec 2017 12:00:22 +0100 Subject: Connectionists: [CfP] Special session on Non-iterative Approaches in Learning - WCCI 2018 Message-ID: [Apologies if you receive multiple copies of this CFP] *********** Call for Papers *********** *Special session on Non-iterative Approaches in Learning (Including comparative studies with iterative methods)* 2018 IEEE World Congress on Computational Intelligence (WCCI 2018) Rio de Janeiro, BRAZIL, 08-13 July 2018 - http://www.ecomp.poli. br/~wcci2018/ ------------------------------------------------------------ --------------------------------- *DESCRIPTION:* Optimization, which plays a central role in learning, has received considerable attention from academics, researchers, and domain workers. Many optimization problems in machine learning can be tackled with non-iterative approaches, which can be presented in closed-form manner. Those methods are in general computationally faster than iterative solutions and less sensitive to parameter settings. Even though non-iterative methods have attracted much attention in recent years, there exists a performance gap when compared with older methods and other competing paradigms. This special session aims to bridge this gap. The first target of this special session is to present the recent advances of non-iterative solutions in learning. Secondly, the focus is on promoting the concepts of non-iterative optimization with respect to counterparts, such as gradient-based methods and derivative-free iterative optimization techniques. Besides the dissemination of the latest research results on non-iterative algorithms, it is also expected that this special session will cover some practical applications, present some new ideas and identify directions for future studies. Original contributions, comparative studies with both iterative and non-iterative methods are welcome. Typical paradigms include (but not limited to) random vector functional link (RVFL), Echo State Networks (ESN), kernel ridge regression (KRR), random forests (RF), etc? The topics of the special session include, but are not limited to: - Methods with and without randomization - Regression, classification and time series analysis - Kernel methods such as kernel ridge regression, kernel adaptive filters, etc. - Feedforward, recurrent, multilayer, deep and other structures. - Ensemble learning - Moore-Penrose pseudo inverse, SVD and other solution procedures. - Gaussian Process regression - Non-iterative methods for large-scale problems with and without kernels - Theoretical analysis of non-iterative methods - Comparative studies with competing iterative methods - Applications of non-iterative solutions in domains such as power systems, biomedical, finance, signal processing, big data and all other areas *Important Dates* - 15th January 2018 ? paper submission deadline - 15th March 2018 ? Paper acceptance notification - 8-13 July 2018 ? IEEE WCCI 2018 conference, Rio de Janeiro, Brazil *Paper Submission* Papers submitted to this Special Session are reviewed according to the same rules as the submissions to the regular sessions of WCCI 2018. Authors who submit papers to this session are invited to mention it in the form during the submission. Submissions to regular and special sessions follow identical format, instructions, deadlines and procedures of the other papers. *Organizers* - Dr P. N. Suganthan, Nanyang Technological University, Singapore. epnsugan at ntu.edu.sg - Dr. Filippo Maria Bianchi, UiT the Arctic University of Norway, Troms?, filippo.m.bianchi at uit.no *Journal Extension* The best papers submitted to the Special Session will be invited for a journal extension within the Special Issue ?*Non-Iterative Learning Approaches and Their Applications*? on the journal Cognitive Computation, Springer (https://link.springer.com/journal/12559). Cognitive Computation (impact factor 3.44) is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles describing original basic and applied work involving bio-inspired computational accounts of all aspects of natural and artificial cognitive systems.? Link to PDF version of CfP: https://drive.google.com/open?id=1LEu22zA2XHXcADEwbedsTmAAW_uSn56l Virus-free. www.avast.com <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Tue Dec 5 06:34:35 2017 From: Pavis at iit.it (Pavis) Date: Tue, 5 Dec 2017 11:34:35 +0000 Subject: Connectionists: 2 Postdoc positions in PAVIS on automatic visual inspection - [ Postdoc ] In-Reply-To: <0E09F354EB71FC40A4D51EE54D8A9C88BDFAD32B@IITMXWGE015.iit.local> References: <0E09F354EB71FC40A4D51EE54D8A9C88BDFAD32B@IITMXWGE015.iit.local> Message-ID: <0E09F354EB71FC40A4D51EE54D8A9C88BDFAD34A@IITMXWGE015.iit.local> 2 Postdoc positions in PAVIS on automatic visual inspection - [ Postdoc ] Workplace: Genova, IIT, Italy Added on: 05/12/2017 - Expires on: 15/01/2018 The Pattern Analysis and Computer Vision department (PAVIS) at IIT is looking for two highly qualified researcher with a strong background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other related areas (e.g., recognition, video analysis, etc.). The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other IIT research units providing ad hoc solutions to scientists in Neuroscience, Nanophysics and other IIT departments/centers. To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion, and embedded computer vision systems. The lab will pursue this goal by working collaboratively and in cooperation with external private and public partners. This call aims at consolidating PAVIS expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The research theme is related to the creation of a system that can inspect manufactured objects to detect defects or damages over the parts, like cracks, fissures, discoloration and other types of defects. This implies the development of novel algorithms for object detection, classification and quality control that discriminate explicitly the photometric attributes of each object part. In particular, this new inspection problem will require the study of different types of features as the one extracted in deep learning frameworks. This project will be carried out in collaboration with a major industrial partner. Candidates to this position must have a PhD in computer vision, pattern recognition or related areas, and research experience and qualification should follow the same lines. Evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is therefore mandatory. Experience of the involvement (e.g., management, preparation or actual work) in funded research or industrial proposals (EU, US, national), and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. He/she is expected to publish his/her research results in leading international journals and conferences, supervise PhD students and collaborate with other scientists, also with different expertise. Salary will be commensurate to qualification and experience and in line with international standards. Workplace is Genova, Italy. Further details and informal inquiries can be made by email to pavis at iit.it quoting PAVIS- BC 74439 - 74472 as reference number. Please send your application, including a CV listing all publications (possibly including a pdf of your most representative publications), a research statement describing your previous research experience and outlining its relevance to the above topics and names of 2 referees to pavis at iit.it quoting PAVIS- BC 74439 - 74472 as reference number. This call will remain open and applications will be reviewed until the position is filled, but please apply by January 15, 2018. IIT was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide and recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nano-biotechnologies. In order to comply with the 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 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. From tani1216jp at gmail.com Tue Dec 5 08:09:16 2017 From: tani1216jp at gmail.com (Jun Tani) Date: Tue, 5 Dec 2017 22:09:16 +0900 Subject: Connectionists: Postdoctoral positions in cognitive neurorobotics research unit at OIST Message-ID: Dear colleagues, We are looking for a few postdoctoral scholars who are willing to explore the following research topics. The cognitive neurorobotics research unit at OIST https://groups. oist.jp/cnru focuses on understanding brain-based mechanisms for cognition and action by conducting synthetic brain modeling studies with using robotic experiment platforms. For this purpose, we have developed a set of deep recurrent neural network (RNN) models based on the concept of predictive coding. These models include the ones for hierarchical predictive learning of compositional action patterns as well as of dynamic visual patterns in pixel level, and extensions of those models to variational Bayes predictive RNN model. Now, we are looking for a few postdoctoral scholars who are motivated to investigate possible reconstruction of "general" cognitive minds of infants up to age of 4 in synthetic neurorobotics experiments. The reconstruction will be conducted by integrating the aforementioned models and other deep learning schemes such as dynamic external memory network and relational net, and by conducting relatively long-term (from a few months to a few years) successive tutoring with exploratory trials for both real and simulated robots in multiple task domains. Ultimate goal of the project is to understand how robots as well as human infants can learn about the world with generalization while encountering the poverty of stimulus problem by going through tripartite interactions among active learning, neuronal as well as body development, and parental care during their developmental processes. Successful candidates must be highly motivated to work on the aforementioned interdisciplinary project and collaborate with other members of the group. They should have a degree in computer science, robotics, or related engineering fields. A strong background in neural network modeling with analysis will be highly appreciated. Accepted postdoctoral scholars will work as annual contract base with possible extension with maximum total period of 3 years. Those who are interested in the position should send an email to tani1216jp at gmail.com with CV. Jun Tani, Dr. Eng. Professor, Cognitive Neurorobotics Research Unit, Okinawa Institute of Science and Technology (OIST) Lab2-A626, https://groups.oist.jp/cnru -------------- next part -------------- An HTML attachment was scrubbed... URL: From b.graham at cs.stir.ac.uk Tue Dec 5 10:33:27 2017 From: b.graham at cs.stir.ac.uk (Bruce Graham) Date: Tue, 5 Dec 2017 15:33:27 -0000 Subject: Connectionists: 3 posts in cyber-security: Prof, Assoc Prof, Lecturer Message-ID: Dear all, As part of an extensive and ongoing investment programme in Cyber Security, the Faculty of Natural Sciences at the University of Stirling, Scotland, U.K. is seeking to make three new strategic appointments. These appointments will have the unique opportunity to contribute to the growth and future direction of our Computing Science & Mathematics Division's research in the areas of Cyber Security. These posts are aligned with our Data Science Research Group, and so people making use of data analytics or machine learning techniques for cyber-security applications are encouraged to apply. The posts are: Professor of Cyber Security and Head of Division Associate Professor of Cyber Security Lecturer of Cyber Security The closing date for these posts is midnight on Thursday 11th January 2018. For full details and application procedure, please go to: https://www.stir.ac.uk/about/jobs/list/ Informal enquiries can be made directly to me. Best regards, Bruce Graham -- Prof. Bruce Graham (b.graham at cs.stir.ac.uk) Professor of Computing Science and Research Director Computing Science and Mathematics Faculty of Natural Sciences University of Stirling Stirling FK9 4LA phone: +44 1786 467 432 fax: +44 1786 464 551 Coauthor of "Principles of Computational Modelling in Neuroscience", CUP 2011. Editorial Board of Journal of Biological Dynamics. From jtouboul at brandeis.edu Wed Dec 6 14:12:10 2017 From: jtouboul at brandeis.edu (Jonathan D. Touboul) Date: Wed, 6 Dec 2017 20:12:10 +0100 Subject: Connectionists: Postdoctoral position at Brandeis in theoretical neuroscience Message-ID: <8A965DCE-3B8F-4E3C-BEB0-5DF11661B2BE@brandeis.edu> A postdoctoral position is available at Brandeis University to work on exciting problems in theoretical neuroscience (mathematical-neuroscience.net ). The techniques we employ rely on dynamical systems (with delays, multiple timescales, nonlocal terms or jumps) and stochastic processes (statistical physics), and our research topics include the analysis of the dynamics of neuron model or neural networks with heterogeneous elements, learning, memory and pathological brain states, as well as the embryonic development of neural assemblies. All projects will involve heavy collaboration with experimental groups in the Boston area, Paris and abroad. The positions are up to 3 year terms, contingent upon satisfactory progress, with competitive salary and benefits packages. The fellows will participate to the vibrant scholar life in the Boston area. The successful candidates will join the Mathematics Department at Brandeis University (http://www.brandeis.edu/departments/mathematics/ ) with strong ties to the Neuroscience group (http://www.bio.brandeis.edu/ ). Opportunities to teach in the math department could be available and are encouraged! Candidates should have a Ph.D. in mathematics, (computational) neuroscience, physics or engineering and have an excellent track record of scholarship, have experience in dynamical systems and/or stochastic models, and be familiar with computational programing. Applications from under-represented groups are strongly encouraged. Candidates should send their applications through MathJobs with a CV, a cover letter indicating their research interests and professional goals: https://www.mathjobs.org/jobs/jobs/11351 Best wishes, Jon http://mathematical-neuroscience.net -------------- next part -------------- An HTML attachment was scrubbed... URL: From gkreiman at gmail.com Wed Dec 6 11:34:42 2017 From: gkreiman at gmail.com (Gabriel Kreiman) Date: Wed, 6 Dec 2017 11:34:42 -0500 Subject: Connectionists: Brains+Minds+Machines Summer Course 2018 Message-ID: *Subject: *Call for Applications: Brains, Minds + Machines Summer Course 2018 | Aug. 9 - 30, 2018 | MBL, Woods Hole, MA. Dear Friends, Please circulate the course information among labs/colleagues/friends that might be interested. Thank you! *Brains, Minds and Machines Summer Course 2018* A Special Topics Course at MBL Woods Hole, MA Directors: Gabriel Kreiman, Children?s Hospital, Harvard Medical School; and Tomaso Poggio, Massachusetts Institute of Technology Course Dates: August 9 ? August 30, 2018 Application Deadline: April 9, 2018 More information: http://cbmm.mit.edu/summer-school/2018 The basis of intelligence ? how the brain produces intelligent behavior and how we may be able to replicate intelligence in machines ? is arguably the greatest problem in science and technology. To solve it, we will need to understand how human intelligence emerges from computations in neural circuits, with rigor sufficient to reproduce similar intelligent behavior in machines. Success in this endeavor ultimately will enable us to understand ourselves better, to produce smarter machines, and perhaps even to make ourselves smarter. Today?s AI technologies, such as Watson and Siri, are impressive, but their domain specificity and reliance on vast numbers of labeled examples are obvious limitations; few view this as brain-like or human intelligence. The synergistic combination of cognitive science, neurobiology, engineering, mathematics, and computer science holds the promise to build much more robust and sophisticated algorithms implemented in intelligent machines. The goal of this course is to help produce a community of leaders that is equally knowledgeable in neuroscience, cognitive science, and computer science and will lead the development of true biologically inspired AI. Set in the charming town of Woods Hole, there will be lectures and tutorials by leaders in the field. In addition, students will be working on cutting-edge projects with the help of faculty and teaching assistants. This course aims to cross-educate computer engineers and neuroscientists; it is appropriate for graduate students, postdocs, and faculty in computer science and/or neuroscience. Students are expected to have a strong background in one discipline (such as neurobiology, physics, engineering, and mathematics). The Center for Brains, Minds and Machines (CBMM) [cbmm.mit.edu ] will also be hosting an Evening Lecture Series, including speakers from both industry and academia, in the fields of neuroscience, computer science, and cognitive science. Invited faculty include Larry Abbott, Dorin Comaniciu, Bob Desimone, Jim DiCarlo, Winrich Freiwald, Sam Gershman, Asif Ghazanfar, Nancy Kanwisher, Boris Katz, Christof Koch, Gabriel Kreiman, Jeff Lichtman, Marge Livingstone, Josh McDermott, Tommy Poggio, Lorenzo Rosasco, Rebecca Saxe, Haim Sompolinsky, Liz Spelke, Max Tegmark, Josh Tenenbaum, Shimon Ullman, Matt Wilson, Patrick Winston, Jeremy Wolfe, among others. -- Gabriel Kreiman gkreiman at gmail.com http://klab.tch.harvard.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From sandayci at rub.de Thu Dec 7 03:07:59 2017 From: sandayci at rub.de (Yulia Sandamirskaya) Date: Thu, 7 Dec 2017 09:07:59 +0100 Subject: Connectionists: Misha Mahowald Prize for Neuromorphic Engineering 2018 Message-ID: <84428117-9C95-4F62-8690-4086771E43EB@rub.de> CALL FOR SUBMISSIONS: The Third Misha Mahowald Prize for Neuromorphic Engineering The Misha Mahowald Prize recognizes outstanding research in neuromorphic engineering in a broad sense: neurally-inspired hardware, but also neuromorphic software, algorithms, and architectures can compete for the award. The award is named for Misha Mahowald, a creative and influential pioneer, who passed away before she could see the field flourishing. She created some of the first neuromorphic circuits including the silicon retina and the silicon neuron. The Prize is awarded by a jury of international experts and carries a cash prize of USD 3000. Previous winners of the prize include IBM Research (Principal Investigator: Dharmendra Modha) for the TrueNorth neuromorphic processor, and the Robotics and Perception Group at the University of Zurich (Principal Investigator: Davide Scaramuzza) for their work on event-based vision for autonomous robots. The competition is open to any individual or research group worldwide. A description of any type of neurally-inspired hardware, software, or algorithm may be submitted. The award is for an original, ground-breaking contribution to neuromorphic engineering. The work of individuals and groups will be considered equally. Only one winner is announced each year. There are no runners-up. Revised resubmissions are encouraged. To apply: Submit an extended abstract in English of up to two DIN A4 pages, containing: ? Applicant(s) and affiliation(s) ? Contact person information ? Project title ? Brief description of the work, its novelty, and its potential impact, including images/tables/original paper links ? Link to a video, if applicable (authors must arrange for unrestricted online viewing of video) Send the document as a PDF file (max. size 2 MB) to: prize at mahowaldprize.org If a video is included in the submission, a download link to the original source file should be included. The submission deadline is February 1, 2018. The Prize is sponsored by iniLabs, a technology company based in Switzerland that invents, produces, and sells neuromorphic technologies for research. iniLabs plays no role in selecting the nominee. ? Dr. Yulia Sandamirskaya Neuroscience Center Zurich (ZNZ) Institute of Neuroinformatics University and ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: yulia.sandamirskaya at ini. uzh.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From erishabh at gmail.com Thu Dec 7 04:29:16 2017 From: erishabh at gmail.com (Rishabh Mehrotra) Date: Thu, 7 Dec 2017 10:29:16 +0100 Subject: Connectionists: Last CFP: WSDM Workshop on Learning from User Interactions (8th December) Message-ID: *WSDM Workshop on Learning from User Interactions* We invite contributions to WSDM Workshop on Learning from User Interactions at WSDM 2018 to be held in Los Angeles, 6 - 8 Feb 2018. *TL;DR**:* 4-6 pages, in WSDM format, *submit by December 8th (23:59 AOE time)*. Workshop Website: https://task-ir.github.io/wsdm2018-learnIR-workshop/ Submission Link: Easychair Twitter: https://twitter.com/learnIRWSDM We intend to have a sponsored Best Paper award alongside potential registration support for students. *Overview* While users interact with online services (e.g. search engines, recommender systems, conversational agents), they leave behind fine grained traces of interaction patterns. The ability to understand user behavior, record and interpret user interaction signals, gauge user satisfaction and incorporate user feedback gives online systems a vast treasure trove of insights for improvement and experimentation. More generally, the ability to learn from user interactions promises pathways for solving a number of problems and improving user engagement and satisfaction. Understanding and learning from user interactions involves a number of different aspects - from understanding user intent and tasks, to developing user models and personalization services. A user's understanding of their need and the overall task develop as they interact with the system. Supporting the various stages of the task involves many aspects of the system, e.g. interface features, presentation of information, retrieving and ranking. Often, online systems are not specifically designed to support users in successfully accomplishing the tasks which motivated them to interact with the system in the first place. Beyond understanding user needs, learning from user interactions involves developing the right metrics and expiermentation systems, understanding user interaction processes, their usage context and designing interfaces capable of helping users. Learning from user interactions becomes more important as new and novel ways of user interactions surface. There is a gradual shift towards searching and presenting the information in a conversational form. Chatbots, personal assistants in our phones and eyes-free devices are being used increasingly more for different purposes, including information retrieval and exploration. With improved speech recognition and information retrieval systems, more and more users are increasingly relying on such digital assistants to fulfill their information needs and complete their tasks. Such systems rely heavily on quickly learnig from past interactions and incorporating implicit feedback signals into their models for rapid development. Topics Learning from User Interactions will be a highly interactive full day workshop that will provide a forum for academic and industrial researchers working at the intersection of user understanding, search tasks, conversational IR and user interactions. The purpose is to provide an opportunity for people to present new work and early results, brainstorm different use cases, share best practices, and discuss the main challenges facing this line of research. - User Needs & Tasks Understanding: - User intent analysis/prediction - User goals & missions - Task identification - Task aware suggestions & recommendations - User Modeling & Personalization: - Short and Long-term User Modelling - Personalization - Diversification - Coherence - Metrics and Evaluation : - Metrics based on user interactions - User engagement metrics design - Evaluation mechanisms - User satisfaction prediction - Controlled laboratory study - Online metrics - Test collection - User Interaction Processes & Context : - User Journey Optimization - Evolution of search process - Stages of user interactions - User journey through the system - Leveraging contextual signals - Learning for user interaction optimization: algorithms, frameworks & system designs - Intelligent interface designs: - Adaptive personal digital assistants - Tailored decision support - Adaptive collaboration support - Applications: - Conversational search, chatbots, digital assistants - Contextual Advertising - E-commerce recommendations - Customer Support - Intelligent interfaces - Personal search - Case studies of real world implementations Submission All workshop submissions must be formatted according to ACM SIG Proceedings template. We welcome submissions in either long or short format spanning 4-6 pages. Authors should submit original papers in PDF format through the Easychair system . This is a workshop where discussion is central, and all attendees are active participants. The workshop will include keynote talks to set the stage and ensure all attendees are on the same page. A small number of contributed papers will be selected for short oral presentation (15-10 minutes), all other papers have a 2 minute boaster, and all papers are presented as poster in an interactive poster session. The results will be disseminated in various ways: - A high quality, peer reviewed workshop proceedings, published in the http://ceur-ws.org/ workshop proceedings series. - A report on the results of the workshop in the ACM SIGIR Forum of June 2018. - If the outcome lives up to our high expectations, we will consider a special issue in an appropriate journal. Important Dates - Submission Deadline: 8th December 2017 (23:59 AOE) - Notification: 15th December 2017 - Workshop: 9th February 2018 Organizers 1. Rishabh Mehrotra (Spotify Research; University College London) 2. Emine Yilmaz (University College London; The Alan Turing Institute) 3. Ahmed Hassan Awadallah (Microsoft Research) You can contact us at learnIRwrkshp at gmail.com or at erishabh at gmail.com. Steering Committee: - Milad Shokouhi (Microsoft) - Fernando Diaz (Spotify) - Filip Radlinski (Google Research) - Evangelos Kanoulas (University of Amsterdam) -- Rishabh. Web: www.rishabhmehrotra.com Github: https://github.com/rishabhmehrotra/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc2018 at gmail.com Thu Dec 7 11:22:48 2017 From: iswc2018 at gmail.com (ISWC 2018) Date: Thu, 7 Dec 2017 17:22:48 +0100 Subject: Connectionists: [CfP] ISWC 2018 - Workshop and Tutorial Proposals Message-ID: 17th International Semantic Web Conference (ISWC 2018) Monterey, California (USA), October 8-12, 2018 This is an announcement of the ISWC 2018 call for Workshop and Tutorial proposals. The deadline for submissions is on Sunday* **January 21**, 2018* We are very much looking forward to innovative ideas from the subscribers of this list. Website: 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: Workshop and Tutorial proposals: **first call** Call for Workshop and Tutorial Proposals =============================== In addition to the regular research program, ISWC 2018 will feature a workshop and tutorial program addressing the diverse interests of its audience. We hereby invite you to submit a tutorial proposal on a topic relevant to the ISWC 2018 audience. Detailed info: http://iswc2018.semanticweb.org/call-for-tutorial-proposals/ Besides tutorials, ISWC will host a number of workshops on topics related to the general theme of the conference. The role of the workshops is to provide a context for a focused and intensive scientific exchange among researchers interested in a particular topic. As such, workshops are the primary venues for the exploration of emerging ideas as well as for the discussion of novel aspects of established research topics. We invite you to submit a proposal for workshops on a topic of interest to ISWC attendees. Detailed info: http://iswc2018.semanticweb.org/call-for-workshop-proposals/ Workshops & Tutorials Chairs * Amrapali Zaveri, Maastricht University, Maastricht, Netherlands * Elena Demidova, L3S Research Center, Leibniz Universit?t Hannover, Hannover, Germany Important Dates for Workshops and Tutorials ================================== Workshop & Tutorial proposals January 21, 2018 Workshop & Tutorial proposals notifications February 15, 2018 Workshop paper submissions due June 1, 2018 Workshop paper notifications sent July 13, 2018 Workshops & Tutorials October 8-9, 2018 Conference October 10-12, 2018 The ISWC Organising Committee (http://iswc2018.semanticweb.org/organization/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.lepora at bristol.ac.uk Fri Dec 8 05:23:29 2017 From: n.lepora at bristol.ac.uk (Nathan Lepora) Date: Fri, 8 Dec 2017 10:23:29 +0000 Subject: Connectionists: [meetings] Living Machines VII: First Call for Papers, Satellite Events and Sponsors In-Reply-To: References: Message-ID: First Call for Papers, Satellite Events and Sponsors: Living Machines VII: The 7th International Conference on Biomimetic and Biohybrid Systems 24 ? 27 July 2018 To be hosted at the Museum National D?Histoire Naturelle, Grand Amphit??tre du Museum, and UPMC, Paris, France, EU Accepted papers will be published in Springer Lecturer Notes in Artificial Intelligence Submission deadline: March 12th, 2018 http://livingmachinesconference.eu/2018 _____________________________________________________________________________ ABOUT LIVING MACHINES 2018 The development of future real-world technologies will depend strongly on our understanding and harnessing of the principles underlying living systems and the flow of communication signals between living and artificial systems. Biomimetics is the development of novel technologies through the distillation of principles from the study of biological systems. The investigation of biomimetic systems can serve two complementary goals. First, a suitably designed and configured biomimetic artefact can be used to test theories about the natural system of interest. Second, biomimetic technologies can provide useful, elegant and efficient solutions to unsolved challenges in science and engineering. Biohybrid systems are formed by combining at least one biological component?an existing living system?and at least one artificial, newly-engineered component. By passing information in one or both directions, such a system forms a new hybrid bio-artificial entity. The theme of the conference also encompasses biomimetic methods for manufacture, repair and recycling inspired by natural processes such as reproduction, digestion, morphogenesis and metamorphosis. The following are some examples of ?Living Machines? as featured at past conferences: ? Biomimetic robots and their component technologies (sensors, actuators, processors) that can intelligently interact with their environments. ? Biomimetic computers?neuromimetic emulations of the physiological basis for intelligent behaviour. ? Active biomimetic materials and structures that self-organize and self-repair. ? Nature-inspired designs and manufacturing processes. ? Biohybrid brain-machine interfaces and neural implants. ? Artificial organs and body-parts including sensory organ-chip hybrids and intelligent prostheses. ? Organism-level biohybrids such as robot-animal or robot-human systems. ACTIVITIES The main conference will take the form of a three-day single-track oral and poster presentation programme, 25th to 27th July 2018, Museum National D?Histoire Naturelle, Grand Amphit??tre du Museum, and UPMC, Paris, France, EU. The conference programme will include five plenary lectures from leading international researchers in biomimetic and biohybrid systems, and the demonstrations of state-of-the-art living machine technologies. The full conference will be preceded by up to two days of Satellite Events hosted at Stanford University. SUBMITTING TO LIVING MACHINES 2018 We invite both full papers and extended abstracts in areas related to the conference themes. All contributions will be refereed and accepted papers will appear in the Living Machines Proceedings, published in the Springer-Verlag Lecture Notes in Artificial Intelligence. Full papers (minimum 8 pages, up to 12 pages) are invited from researchers at any stage in their career and should present significant findings and advances in biomimetic or biohybrid research. More preliminary work is better suited for short paper submission (minimum 4 pages, with a maximum of ten references and no more than three self-citations). Full papers will be accepted for either oral presentation (single track) or poster presentation with a short podium preview. Extended abstracts will be accepted for poster presentation only. Authors of the best full papers will be invited to submitted extended versions of their paper for publication in a special issue of the Taylor & Francis journal Connection Science. SATELLITE EVENTS Active researchers in biomimetic and biohybrid systems are invited to propose topics for full or half-day tutorials, symposia or workshops on related themes to be held on the 24th July at the The ?cole Normale Sup?rieure in Paris (http://www.ens.fr/en). Attendance at satellite events will attract a small fee intended to cover the costs of the meeting. There is flexibility about the content, organisation, and budgeting for these events. Please contact us if you are interested in organising a satellite event! EXPECTED DEADLINES March 12th, 2018 Paper submission deadline April 28th, 2018 Notification of acceptance May 15th, 2018 Camera ready copy July 24th ? 28th, 2018 Workshops and Conference SPONSORSHIP Organisations wishing to sponsor the conference in any way and gain the corresponding benefits by promoting themselves and their products through conference publications, conference events, and conference publicity are encouraged to contact the organisers to discuss the terms of sponsorship and necessary arrangements. We also offer a number of attractive options to potential sponsors. VENUE Consistent with the Living Machines? tradition of choosing historical venues at the crossroads between life and human sciences, this year the conference will take place at the Museum National D?Histoire Naturelle http://www.mnhn.fr/fr an historical mus?um located in the heart of Paris that for almost 400 years has focused on nature and its relationship with humans. The mus?um is immersed in history, yet at the heart of current affairs, and is also working to be projected towards the future. Poster sessions will be organized at UPMC. Organising Committee: Jose Halloy, Universit? Paris Diderot (Local Organizing Chair) Paul Verschure, IBEC, Universitat Pompeu Fabra (Co-Chair) Tony Prescott, University of Sheffield (Co-chair) Vicky Vouloutsi, IBEC, Barcelona (Programme Chair) Michael Mangan, University of Lincoln (Programme Co-Chair) Nathan Lepora, University of Bristol (Communications) Anna Mura, IBEC, Barcelona (Web and Communications) -- 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 2 & 3): 0117 3286171 www.lepora.com @nathanlepora @tactilerobot -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkordjam at tulane.edu Thu Dec 7 15:13:29 2017 From: pkordjam at tulane.edu (Kordjamshidi, Parisa) Date: Thu, 7 Dec 2017 20:13:29 +0000 Subject: Connectionists: CFP: AAAI-2018 Workshop on Declarative Learning Based Programming Message-ID: <2793E610-6D02-4C27-B6DF-2CA90A6F9BF7@tulane.edu> ---------------------------------------------------------------- CALL FOR PARTICIPANTS ---------------------------------------------------------------- Third International Workshop on Declarative Learning Based Programming (DeLBP-2018), in conjunction with thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), February 3rd, 2018, New Orleans, Louisiana, USA. Website: http://delbp.github.io. --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- The main goal of Declarative Learning Based Programming (DeLBP) workshop is to investigate the issues that arise when designing and using programming languages that support learning from data and knowledge. DeLBP aims at new programming models and abstractions that facilitate the design and development of intelligent real world applications that use machine learning and reasoning. The challenges of such a programming paradigm include: Interaction with messy, naturally occurring data; Specifying the requirements of the application at a high abstraction level; Dealing with uncertainty in data and knowledge in various layers of the application program; Using representations that support flexible relational feature engineering and learning rich data representations; Using representations that support flexible reasoning and structure learning; Supporting model chaining and composition; Integrating a range of learning and inference algorithms; and finally addressing the above mentioned issues in one unified programming environment. Conventional programming languages offer no help to application programmers that attempt to design and develop applications that make use of real world data, and reason about it in a way that involves learning interdependent concepts from data, incorporating and composing existing models, and reasoning about existing and trained models and their parameterization. Over the last few years, the research community has tried to address these problems from multiple perspectives, most notably various approaches based on Probabilistic programming, Logical Programming and the integrated paradigms. The goal of this workshop is to present and discuss the current related research and the way various challenges have been addressed. We aim at motivating the need for further research toward a unified framework in this area based on the key existing paradigms: Probabilistic Programming, Logic Programming, Probabilistic Logical Programming, First-order query languages and database management systems and deductive databases, Statistical relational learning, Deep Learning and related languages, and connect these to the ideas of Learning Based Programming. We aim to discuss and investigate the required type of languages and representations that facilitate modeling complex learning models, deep architectures, and provide the ability to combine, chain and perform flexible inference with existing models and by exploiting domain knowledge. Though the theme of this workshop remains generic as in the past versions, we will aim at emphasizing on ideas and opinions regarding conceptual representations of deep learning architectures that connect various computational units to the semantics of declarative data and knowledge representations. ---------------------------------------------------------------- TOPICS OF INTEREST ????????????????????? ?New abstractions and modularity levels towards a unified framework for (deep/structured) learning and reasoning, ? Frameworks/Computational models to combine learning and reasoning paradigms and exploit accomplishments in AI from various perspectives. ?Flexible use of structured and relational data from heterogeneous resources in learning. ? Data modeling (relational/graph-based databases) issues in such a new integrated framework for learning based on data and knowledge. ?Exploiting knowledge such as expert knowledge and common sense knowledge expressed via multiple formalisms, in learning. ?The ability of closing the loop to acquire knowledge from data and data from knowledge towards life-long learning, and reasoning. ?Using declarative domain knowledge to guide the design of learning models, ? Including feature extraction, model selection, dependency structure and deep learning architecture. ?Automation of hyper-parameter tuning. ?Design and representation of complex learning and inference models. ?The interface and software tools for learning-based programming, ? Either in the form of programming languages, declarations, frameworks, libraries or graphical user interfaces. ?Storage and retrieval of trained learning models in a flexible way to facilitate incremental learning. ?Related applications in Natural language processing, Computer vision, Bioinformatics, Computational biology, multi-agent systems, etc. ?Learning to learn programs. ---------------------------------------------------------------- KEYNOTE SPEAKERS ???????????????????????????????? *Sebastian Riedel, University College London *William Cohen, Carnegie Mellon University *Avi Pfeffer, Charles River Analytics ---------------------------------------------------------------- PROGRAM COMMITTEE ---------------------------------------------------------------- Guy Van den Broeck, University of California, Los Angeles Sameer Singh, University of California, Irvine Rodrigo de Salvo Braz, SRI International Christos Christodoulopoulos, Amazon Cambridge, UK William Wang, University of California, Santa Barbara Kai-Wei Chang, University of Virginia Nikolaos Vasiloglou, Ismion Inc Martin Mladenov, Technical University of Dortmund Tias Guns, Vrije University of Brussels Umar Manzoor, Tulane University Mark Kaminski, University of Oxford Avi Pfeffer, Charles River Analytics ---------------------------------------------------------------- ORGANIZING COMMITTEE ---------------------------------------------------------------- Parisa Kordjamshidi, Tulane University, IHMC Dan Roth, University of Pennsylvania Dan Goldwasser, Purdue University Kristian Kersting, TU Darmstadt Nikolaos Vasiloglou, Ismion Inc ---------------------------------------------------------------- CONTACT ---------------------------------------------------------------- delbp-3 at googlegroups.com (Organization Committee) ------------------------------------------- Kordjamshidi, Parisa Assistant Professor CS Department at Tulane University Research Scientist at IHMC Homepage -------------- next part -------------- An HTML attachment was scrubbed... URL: From ants.conf at gmail.com Fri Dec 8 18:03:17 2017 From: ants.conf at gmail.com (ANTS Conference) Date: Sat, 9 Dec 2017 00:03:17 +0100 Subject: Connectionists: [meetings] ANTS 2018 - Swarm Intelligence - Eleventh International Conference - 2nd CFP 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: * 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, to be confirmed). 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 ++ Local organisation and publicity chair ++ Vito Trianni - Institute of Cognitive Sciences and Technologies (ISTC), Italian National Research Council (CNR), Italy ++ Technical program chairs ++ Mauro Birattari - Universit? libre de Bruxelles, Belgium 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 d.polani at herts.ac.uk Thu Dec 7 21:26:24 2017 From: d.polani at herts.ac.uk (Daniel Polani) Date: Fri, 8 Dec 2017 02:26:24 +0000 Subject: Connectionists: PhD Studentships on Informational Principles in Artificial Intelligence and Artificial Life Message-ID: <23081.63568.91649.603208@gargle.gargle.HOWL> ///////////////////////////////////////////////////////////////////// PhD Studentships Available on INFORMATIONAL PRINCIPLES IN ARTIFICIAL INTELLIGENCE AND ARTIFICIAL LIFE Adaptive Systems Research Group School of Computer Science University of Hertfordshire, UK ///////////////////////////////////////////////////////////////////// We invite applications for PhD studentships in the Adaptive Systems Research Group at the University of Hertfordshire to investigate principles underlying cognition and life, specifically in context of Artificial Intelligence and Artificial Life. For this purpose, we specifically focus on information theory as universal language of discourse. Amongst the questions studied are origin of life and cognition from first principles, emergence of complexity in nature, and constraints guiding information processing in adaptive, complex and self-organizing systems. Complementing this, our goal is to adapt such principles for more flexible and biologically plausible AI and robotic applications. Our chief tools are mathematical methods with particular emphasis on Shannon's information theory which has proven to be an extremely powerful toolbox. A particularly striking example of the power of information theory is Deep Learning where very recent work by N. Tishby has shown how the Information Bottleneck can shed light on what goes on inside Deep Networks. In the following we list a small selection of potential PhD research directions (not exclusive): - information and the organization of cognition - self-organization of complex systems - origin of life - links between decision-making and physics - principled AI methods for autonomous robotics - models for intrinsic motivation - informational principles of biological computation The prospective candidates should have a very strong first degree; a keen interest in delving into and contributing to a fresh and fast-moving research area; and an outstanding background in Computer Science, Physics, Mathematics, Statistics or another relevant computational/quantitative discipline. In particular, they should demonstrate excellent programming skills in at least one major computer language. A mathematical/numerical background would be highly desirable. Knowledge in at least one of the following fields would be a plus: probability theory, information theory, differential geometry, control, dynamical systems, data modelling/neural network techniques. The envisaged research will take place in the vibrant and enterprising environment of the Adaptive Systems Research Group in the School of Computer Science at the University of Hertfordshire; there will also be the opportunity to collaborate with the socSMCs (Socializing Sensorimotor Contingencies, FET Open) and link to the WiMUST (Widely Scalable Mobile Underwater Sonar Technology) EU Horizon 2020 project, and especially the School's successful humanoid robot RoboCup team, the Bold Hearts. ////////////////////////////////////////////////////////////////////// The school offers a large number of specialized and interdisciplinary seminars as well as general training opportunities. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 50% of the research submitted being rated as internationally excellent or world leading. The University of Hertfordshire is located in Hatfield, Hertfordshire UK which is considered the "northern green belt" of London. Hatfield is close to London (less than 25 minutes by direct train to Kings Cross), has convenient access to Stansted, Luton and Heathrow airports, and, via the nearby historic town of St. Albans, also to Gatwick airport. Successful candidates are eligible for a research studentship award from the University (which includes approximately GBP 14,553.00 per annum bursary from 1 March 2018 and the payment of the standard UK/EU student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary. Closing date for application is the 8. January 2018, though excellent applications may be considered after that date. For informal inquiries on the research topic please contact: Dr. Daniel Polani (E-mail: d.polani at herts.ac.uk) ////////////////////////////////////////////////////////////////////// Application forms are available under the following link (see under "How to Apply"): http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research/the-phd-programme-in-computer-science The application form should be returned to: Mrs Lorraine Nicholls and Mrs Emma Thorogood Research Student Administrators University of Hertfordshire College Lane Hatfield, Herts AL10 9AB tel: +44 (0)1707 286083 doctoralcollegeadmissions at herts.ac.uk Applications should also include two references and transcripts of previous academic degrees. We accept applications for self-funded places throughout the year. The next short-listing process for studentship applications will begin on 8 January 2018. From eliassi at cs.wisc.edu Sat Dec 9 11:16:22 2017 From: eliassi at cs.wisc.edu (Tina Eliassi-Rad) Date: Sat, 9 Dec 2017 11:16:22 -0500 Subject: Connectionists: Multiple Postdoc Positions in Multi-Modal Brain Imaging, Machine Learning, and Neural Modeling at Mass Eye and Ear Message-ID: Postdoctoral Fellow Positions in Multi-Modal Brain Imaging, Machine Learning, and Neural Modeling We have several open postdoctoral fellow positions to study normal and diseased organization of large-scale networks controlling highly skilled motor behaviors. We employ multi-modal neuro-imaging methodologies, including task-production, resting-state, and pharmacological fMRI, high-resolution structural MRI, diffusion weighted imaging, and direct intracranial EEG to examine brain functional, effective and structural connectivity in healthy individuals, and patients with neurological disorders (dystonia and epilepsy). Our analytic approaches include, but are not limited to, graph theoretical analysis of large-scale neural networks, the application of novel machine learning algorithms for diagnostic and predictive classification of neurological disorders, and neural population modeling. In addition, we are examining the interplay between imaging, behavioral, and genetic factors that contribute to the pathophysiology of neurological disorders. The postdoctoral fellow will function as part of a multidisciplinary team of neuroscientists, geneticists, neurologists, laryngologists, and neurosurgeons at Mass. Eye and Ear, Mass General, and UMass Memorial Medical Center. Responsibilities will include the conduct of all aspects of the research protocol, such as the development, modification, and execution of data analysis, preparation of publications and scientific presentations, dissemination of the results through peer-reviewed scientific journals and at the major national and international meetings, and mentoring the junior staff. Excellent opportunities exist for various scientific interactions and collaborations with the experts in the fields of neuroscience, movement disorders, and genetics as well as for participation in the extensive programs of seminars, symposia, and other relevant meetings. The postdoctoral fellow may work on one or more projects. Dystonia (I) Machine learning for identification and validation of neuroimaging and genetic markers of dystonia and the prediction of risk for dystonia development. (II) Graph theoretical analysis, machine learning, and pharmacogenomics for identification of primary mechanistic markers of action of a novel oral medication in patients with dystonia. (III) Abnormalities of brain activation and neural network across different forms of task-specific focal dystonias using a combination of structural and functional neuroimaging techniques, genetic analysis, and clinico-behavioral neurotesting. Epilepsy (I) Graph theoretical analysis of high-resolution intracranial EEG data for identification of the topology of large-scale neural connectivity in epilepsy and the development of neural markers for prediction of epileptic seizures. Normal Speech Production (I) The development and implementation of large-scale neural population models incorporating neurotransmission for simulation and prediction of brain activity during speech production. Qualifications and Skills ? PhD in neuroscience, mathematics, computer science, bioengineering, or related fields ? Exceptionally strong computational and biostatistical skills to implement and integrate the analysis of multi-dimensional imaging, clinical, and/or genetic datasets ? Solid experience in Python, MATLAB, and C ? Strong experience in the algorithmic design, mathematical models (primarily stochastic differential equation systems), and analysis and integration of dynamic systems ? Independent, self-motivated with a proven track record of productive research ? Excellent verbal and written communication skills ? Ability to work effectively both independently and in collaboration with multiple investigators ? Strong publication record and excellent academic credentials Position Duration Full-time, 1-year initial contract, renewable annually contingent upon performance. Salary Commensurate with experience according to the Mass. Eye and Ear Policies and Procedures. Deadline The positions are available immediately and applications are considered on an ongoing basis until the positions are filled. How to Apply Applications should be sent to Dr. Kristina Simonyan at Kristina_Simonyan at meei.harvard.edu and should include the candidate?s CV with the list of publications, a statement of interest in the position, and the names and contact information of at least three professional referees. Mass. Eye and Ear is an equal opportunity/affirmative action employer. We recognize the power and importance of a diverse employee population and strongly encourage applicants with various experiences and backgrounds. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dengdehao at gmail.com Sun Dec 10 20:10:45 2017 From: dengdehao at gmail.com (Teng Teck Hou) Date: Mon, 11 Dec 2017 09:10:45 +0800 Subject: Connectionists: [INNS-BDDL 2018] Extension of paper submission deadline to 20th December 2017 Message-ID: <5a2ddb15.c6f5620a.74baa.2e79@mx.google.com> [Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3rd INNS Conference on Big Data and Deep Learning (INNS BDDL) will be held Tuesday through Thursday, April 17 ? 19, 2018 at the Grand Inna Bali Beach hotel, Sanur, Bali, Indonesia. The INNS BDDL conference aims to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning." Accepted and presented papers will be published in Procedia Computer Science indexed by Scopus. Several papers will be selected for possible publication in a high-quality journal. A preliminary list of such journals includes: - Cognitive Systems Research (Scopus SJR 0.648, Impact Factor 1.182) - Cognitive Computation (Scopus SJR 0.823, Impact Factor 3.441) - Big Data Analytics - Evolving Systems (Scopus SJR 0.459, Impact Factor 1.067) - International Journal of Neural Systems (Scopus SJR 1.121, Impact Factor 6.333) - and possibly others Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas ####################Important Dates################################# * Tutorial and workshop proposals (Submission) ?30 September 2017 * Tutorial and workshop proposals (Decision) ? 7 October 2017 * Paper submission ???? 20 December 2017 * Decision notification???? 31 January 2018 * Camera-ready submission??? 20 February 2018 * Conference????? 17 - 19 April 2018 ################################################################### #########################Keynote Speakers########################## * Prof. Geoffrey I. Webb, Monash University, Australia * Prof. Kay Chen Tan, City University, Hong Kong * Dr. Ir. Ari Santoso, Ministry of Education and Culture ################################################################### #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Honorary Board Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontif?cia Universidade Cat?lica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong Kong Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Noor Akhmad Setiawan, Universitas Gadjah Mada, Indonesia Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Ali Ridho Barakbah, Politeknik Elektronika Negeri Surabaya, Indonesia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Alfian Futhul Hadi, Universitas Jember, Indonesia Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Kurnianingsih, Politeknik Negeri Semarang, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Za?in, La Trobe University, Australia ########################################################## ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization? >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ############################################################################ ##########################Sponsoring Organizations################# * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ################################################################ Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From gaute.einevoll at nmbu.no Sat Dec 9 06:26:11 2017 From: gaute.einevoll at nmbu.no (Gaute Einevoll) Date: Sat, 9 Dec 2017 11:26:11 +0000 Subject: Connectionists: 4-year postdoc position in neural systems modelling at the University of Oslo Message-ID: Postdoctoral Research Fellowship in Neural Systems Modelling Position as postdoctoral research fellow available at the Department of Bioscience at the University of Oslo. The fellowship period is 4 years, with 25 % compulsory work. Anticipated start date is 01.02.2018. Project description: We study neural processing and plasticity of neural circuits at multiple levels, from the morphological changes at the synapse to functional changes of network activity in behaving animals. The position will be part of the project 'BrainMatrix' funded by the Norwegian Research Council, and seeks to explore the biophysical and physiological roles of perineuronal nets (PNNs) in neuron information processing and plasticity. PNNs are extracellular protein complexes thought to act as long-lasting synaptic anchors, thereby defining stable structural and functional connectivity in widespread but discrete regions of the brain. The entire BrainMatrix project is built on interdisciplinary principles and will involve strong interaction between mathematical modelling and experimental goals across the levels of investigation. As such, a key feature of this position will be to work between the outstanding computational and experimental groups at Simula Research Laboratory (www.simula.no) andthe University of Oslo (www.mn.uio.no/ibv/english/research/sections/fyscell/cinpla). For this reason, the candidate should have experience in either computational neurophysiology/cell electrophysiology or experimental, and a strong desire and potential to expand their skillset to include the other discipline. Job description: We are searching to fill a 4-year full time postdoctoral, with 75% of the time devoted to research and 25% reserved for other career promoting activities such as lecturing or mentoring. The successful candidate will develop and implement models for interrogating the effects of genetic and pharmacologic manipulation of PNNs on single neuron and network function in visual and spatial information processing. The modeling approach will take advantage of tools and resources available through the Human Brain Project, and developed locally such as the NEST and LFPy simulators. The experimental goals will involve opportunities to apply or learn classical slice electrophysiology and single/multi-unit extracellular recordings, as well as advanced in vivo optical recordings and in vivo patch clamping. Within the framework of the position duties corresponding to one year of compulsory work may be assigned. For more information, including on how to apply, see: https://www.jobbnorge.no/ledige-stillinger/stilling/145487/postdoctoral-research-fellowship-in-neural-systems-modelling?p=0&reset=1 Deadline for application: January 10th 2018 For questions, please contact: Associate Professor Andy Edwards, phone: +47 40472451, e-mail:andrew.edwards at ibv.uio.no ********************************************** Gaute T. Einevoll Faculty of Science and Technology Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, Oslo, Norway Ph. +47-64965433, Mobile: +47-95124536 email: Gaute.Einevoll at nmbu.no, web: compneuro.nmbu.no, cinpla.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.Soltoggio at lboro.ac.uk Mon Dec 11 06:08:22 2017 From: A.Soltoggio at lboro.ac.uk (Andrea Soltoggio) Date: Mon, 11 Dec 2017 11:08:22 +0000 Subject: Connectionists: Updated review paper: Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks Message-ID: Dear connectionists, We have updated our review paper Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks at https://arxiv.org/abs/1703.10371 Many thanks for all the feedback we have received so far. Please do continue to email us if you have further comments. Andrea Soltoggio, Ken Stanley, Sebastian Risi -- Dr. Andrea Soltoggio Lecturer in Artificial Intelligence Department of Computer Science, Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Phone: +44 (0) 1509 635748 Email: a.soltoggio at lboro.ac.uk Twitter: @asoltoggio Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From roman.bauer111 at gmail.com Mon Dec 11 12:47:20 2017 From: roman.bauer111 at gmail.com (roman bauer) Date: Mon, 11 Dec 2017 17:47:20 +0000 Subject: Connectionists: PhD studentship at Newcastle University (UK) Message-ID: *PhD position on "cryogenic processing of retinal tissue using computational modelling"* A PhD student position is available at the Institute of Genetic Medicine at Newcastle University (http://www.ncl.ac.uk/igm/). Dr Roman Bauer, Prof. Lyle Armstrong and Dr Evelyne Sernagor are looking for a highly motivated student with an interest in studying and computationally modelling the freezing and thawing of retinal tissue. The successful candidate will have (or be in the process of obtaining) a Masters degree in neuroinformatics, computer science, engineering, computational biology or a related discipline. Basic experience in a programming language such as Java, C++ or Python is a requirement. The student position will involve computational modeling as well as experimental work. A detailed description of the PhD studentship project, which is part of the DiMeN Doctoral Training Partnership (http://www.dimen.org.uk/), can be found at https://www.findaphd.com/search/projectdetails.aspx?PJID=93036, and information on how to apply is available here http://www.dimen.org.uk/how-to-apply/application-overview. Informal email inquiries to Dr Roman Bauer are strongly encouraged (roman.bauer at ncl.ac.uk). The deadline for applications is the 22nd of January 2018. Newcastle University is ranked within top 100 in the world for Life Sciences and Computer Science, and is top in the UK for computing science impact. It has more than 5,700 staff from more than 85 nationalities, and more than 24,000 students. Best wishes, Roman Bauer -- Roman Bauer, Ph.D. MRC Research Fellow Institute of Neuroscience Newcastle University Newcastle upon Tyne NE2 4HH, UK tel: +44 (0) 191 208 5685 <+44%20191%20208%205685> -------------- next part -------------- An HTML attachment was scrubbed... URL: From mfasli at essex.ac.uk Mon Dec 11 21:00:50 2017 From: mfasli at essex.ac.uk (Fasli, Maria) Date: Tue, 12 Dec 2017 02:00:50 +0000 Subject: Connectionists: RCUK Innovation Fellowship in AI/ML, University of Essex Message-ID: <49F005D9-0D47-4B1B-B6E3-60FBE46652B6@essex.ac.uk> Apologies for cross postings *** RCUK Innovation Fellowship *** Institute for Analytics and Data Science University of Essex, UK 3 year post, ?39,993-?41,212 per annum Closing Date: 15 December 2017 The University of Essex (UK) is currently advertising an RCUK Innovation Fellowship (3 years) in the Institute for Analytics and Data Science (IADS) on ?Discovering Individual and Social Preferences through Inverse Reinforcement Learning?. Appointment to this post will be made as Research Fellow. The main duties of the post include to undertake foundational and applied Research and high quality independent and collaborative research within the scope of the RCUK Innovation Fellowship that meets REF standards. Other duties include to contribute to Public Engagement & Impact such as community engagement and interactions with other public sector bodies, business and the third sector. The candidate will be required to comply with the conditions of the RCUK Fellowship (for more details see job specification). Applicants are also required to have a PhD in Quantitative Social Science, Computer Science, Artificial Intelligence, Data Science, Statistics, or related discipline, or related professional experience. Candidates should have a maximum of four years academic research experience following the submission of their PhD, or be of equivalent professional standing. Particular research areas of interest include but are not limited to: * quantitative methods; * advanced statistical methods; * machine learning; * reinforcement learning; * social preference and social choice. For more information and to make an application, please see here: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=794034FJJf&WVID=9918109NEm&LANG=USA The job specification can be found here: https://www1.essex.ac.uk/hr-jobpacks/science_health-csee/REQ01033_Jobpack.pdf Informal enquiries can be directed to Prof Maria Fasli (mfasli at essex.ac.uk). Professor Maria Fasli PhD, NTF, FHEA UNESCO Chair in Analytics and Data Science Director, Institute for Analytics and Data Science University of Essex T +44 (0)1206 872327 E mfasli at essex.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From Hong.Yu at umassmed.edu Mon Dec 11 13:34:02 2017 From: Hong.Yu at umassmed.edu (Yu, Hong) Date: Mon, 11 Dec 2017 18:34:02 +0000 Subject: Connectionists: Faculty position at UMass Lowell Message-ID: http://explorejobs.uml.edu/lowell/en-us/job/492558/tenuretrack-assistant-professor-computer-science-multiple-positions Tenure-Track Assistant Professor - Computer Science (Multiple Positions) Job no: 492558 Position type: Faculty Full Time Benefit Status: Benefited-Union Campus: UMass Lowell Department: Computer Science Salary: Salary commensurate with experience Applications Open: Aug 25 2017 Applications Close: Open until filled General Summary of Position: The Computer Science Department at the University of Massachusetts Lowell invites applications for four tenure-track, assistant professor faculty positions to start in September 2018 (an earlier starting date might be considered). The University of Massachusetts Lowell, located about 25 miles northwest of Boston in the high-tech corridor of Massachusetts, is a tier-1 public research university. It has a national reputation in science, engineering, and technology. UMass Lowell is committed to educating students for lifelong success in a diverse world, and to conducting research and outreach activities that sustain the economic, environmental, and social health of the region. In February of 2009, a campus-wide strategic planning initiative was launched to reposition UMass Lowell as a world-class institution over the next decade. A major component of that initiative is to ensure that diversity and inclusion is in every aspect of our strategic plan. We seek a diverse talented candidate pool to be part of our mission and achievements. The Department of Computer Science currently has 16 tenured and tenure- track faculty members, 3 full-time lecturers, and a few adjunct instructors serving over 700 BS students, 161 MS students, and 94 PhD students. It also offers an MS and a BS in Information Technology online with over 100 students and over 1200 students, respectively (BS-IT and MS-IT courses are taught by a separate faculty body). It offers bioinformatics options at all levels, a robotics minor, a data science option, and a PhD in computational mathematics. The Department is looking to fill a number of tenure-track/tenured positions in the next few years. The Computer Science faculty has received approximately $10M in the last two years in external research funding from the NSF, DARPA, DOD, DHE, NIH, and corporations. The Department has 6 NSF CAREERAward recipients. More information about the Department can be found at www.cs.uml.edu. Women and underrepresented minorities are strongly encouraged to apply. Minimum Qualifications (Required): * PhD in computer science or a closely related discipline * Applicants must be committed to developing and sustaining externally-funded research programs * Applicants must demonstrate strong potential to establish and maintain substantial research, teaching, and service, including the ability to publish refereed publications, obtain competitive external grants, and supervise undergraduate and postgraduate students * Successful applicants will develop a strong network of collaborations with established national and international researchers, leading to significant impact in computer science and related fields * The ability to work effectively with diverse groups Preferred Qualifications: * Preference will be given to outstanding candidates in any of the areas of Computer Vision, Cybersecurity, Data Science, Machine Learning, and/or Robotics * Outstanding candidates in other major computer science areas will also be considered, and are thus encouraged to apply * In addition to developing a strong research program, a successful candidate will be expected to teach undergraduate and graduate courses, including department core and specialty areas based on the candidate?s expertise In addition to the broad range of research interests within the Computer Science Department, UMass Lowell has a diverse group of science and engineering faculty who use novel computer science techniques to enhance their research (e.g., physics, engineering, health, and other areas) including anticipated hires in the Department of Electrical and Computer Engineering. Therefore, candidates interested in establishing collaborations with faculty in these fields are encouraged to apply. Review of applications will begin immediately and continue until the position is filled. However, the position may close once an adequate number of qualified applications are received. Applications received by December 15, 2017 will receive full consideration. Please submit a CV, cover letter, teaching statement, research publications, research statement. *Names and email addresses of three reference will also be required during the application process. The references will be notified and should upload recommendation letters. Only recommendation letters that are uploaded to the system by the referee will be accepted. Emailed or hardcopy letters will not be accepted. Submission of teaching evaluations is optional. -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.schwarzwaelder at fz-juelich.de Tue Dec 12 03:04:59 2017 From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder) Date: Tue, 12 Dec 2017 09:04:59 +0100 Subject: Connectionists: Call for Workshops - Bernstein Conference 2018 In-Reply-To: <62ed8bb6-a34d-351e-a748-b8ccf8455555@fz-juelich.de> References: <62ed8bb6-a34d-351e-a748-b8ccf8455555@fz-juelich.de> Message-ID: <34f678d1-2172-c67f-7d23-2efd97aec4bb@fz-juelich.de> The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops directly preceding the Bernstein Conference 2018 in Berlin. ************************************************************** Important Dates: Satellite Workshops: September 25 - 26, 2018 Main Bernstein Conference: September 26 - 28, 2018 Deadline for Satellite Workshop proposal submission: March 15, 2018 Notification of Workshop acceptance: April 2018 ************************************************************** Since 2013, the Bernstein Conference hosts pre-conference workshops which provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a mere series of talks. The Bernstein Conference started out as the annual meeting of the Bernstein Network Computational Neuroscience and has become the largest annual single-track Computational Neuroscience conference in Europe in recent years. Satellite Workshop schedule: September 25, 2018, 2:00 pm - 6:30 pm September 26, 2018, 8:30 am - noon Workshop proposals are welcome for either half-day or full-day workshops. Workshop costs ? FINANCIAL SUPPORT: All organizers and speakers of accepted workshops will receive a waiver for the workshop fee. Organizers of accepted workshops additionally receive a waiver for the main conference. Up to 10 selected workshops can receive financial support up to 1.500,00 ? each. For further information about the conference, please visit the conference website http://www.bernstein-conference.de. INSTRUCTIONS FOR WORKSHOP PROPOSAL PREPARATION Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment Please use the Workshop Proposal Form that can be downloaded here: http://www.nncn.de/de/bernstein-conference/2018/satellite-workshops Deadline for submission of Workshop proposals: March 15, 2018 CONTACT: bernstein.network(at)fz-juelich.de We are looking forward to seeing you in Berlin! WORKSHOP SELECTION COMMITTEE: Jakob Macke (Workshop Chair) Tatjana Tchumatchenko (Workshop Vice Chair) Axel Borst Nicolas Brunel Anne Churchland Claudia Clopath Gaute Einevoll Adrienne Fairhall Gilles Laurent (Program Chair) Mate Lengyel Elad Schneidman Susanne Schreiber (Program Vice Chair) Terry Sejnowski Henning Sprekeler (Conference Host) Fred Wolf -- Dr. Kerstin Schwarzw?lder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder at fz-juelich.de Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder at fz-juelich.de web: www.nncn.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 michael.hallquist at gmail.com Tue Dec 12 14:01:12 2017 From: michael.hallquist at gmail.com (Michael Hallquist) Date: Tue, 12 Dec 2017 14:01:12 -0500 Subject: Connectionists: Postdoctoral opportunity in clinical neuroimaging and computational modeling Message-ID: <3FE723D3-5770-4A38-B41F-8AB5BCC67E1D@gmail.com> Dear colleagues, We are seeking applications for a postdoctoral scholar in the Department of Psychology at Penn State University under the direction of Michael Hallquist, Ph.D. and Alex Dombrovski, M.D. (University of Pittsburgh). The research scholar will work on NIMH-funded projects of decision-making in suicide and borderline personality disorder. Scholars will have ample opportunities to develop independent research projects and to publish empirical papers on suicide and borderline personality disorder using existing data. Ideally, applicants should have experience with both functional neuroimaging and the development of reinforcement-learning or computational models of behavior. This position will require excellent quantitative and statistical skills, and successful candidates will have a track record of published high-quality research. Proficiency with MATLAB, R, AFNI and/or FSL is desirable. Funding is available now with a flexible start date. Applications will be reviewed on an ongoing basis starting in December 2017. This is a two-year position with possible funding for a third year of postdoctoral training. Salary and benefits will conform to standard postdoctoral rates at The Pennsylvania State University. Candidates must have completed all of the requirements for a Ph.D. in clinical psychology, cognitive psychology, quantitative psychology, bioengineering, or a related field at the time of the appointment. To apply, please submit a curriculum vitae and cover letter describing your research interests and experience. Please arrange to have three letters of recommendations sent to Michael Hallquist (michael.hallquist at psu.edu) CAMPUS SECURITY CRIME STATISTICS: For more about safety at Penn State, and to review the Annual Security Report which contains information about crime statistics and other safety and security matters, please go to http://www.police.psu.edu/clery/ , which will also provide you with detail on how to request a hard copy of the Annual Security Report. Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. Job URL: https://psu.jobs/job/75939 Best wishes, Michael --- Michael Hallquist, PhD Assistant Professor Department of Psychology Institute for Cyberscience Penn State University 309 Moore Building michael.hallquist at psu.edu Office: 814-863-5756 Fax: 814-863-7002 From amcosconference at upf.edu Wed Dec 13 05:02:56 2017 From: amcosconference at upf.edu (AMCOS Conference) Date: Wed, 13 Dec 2017 11:02:56 +0100 Subject: Connectionists: Complex Oscillatory Systems conference AMCOS, Barcelona March 2018 - 1 week until abstract submission deadline! Message-ID: *ONLY 1 WEEK UNTIL ABSTRACT SUBMISSION DEADLINE* *AMCOS ? ANALYSIS AND MODELING OF COMPLEX OSCILLATORY SYSTEMS* March 19-23, 2018 Barcelona, Spain The *AMCOS conference* aims at bringing together renowned experts and young researchers who work on the modeling of complex systems and the emergence of collective phenomena, as well as on the analysis of complex data sets in order to infer structure and functionality of networks. Accompanying TUTORIALS by leading experts will interactively introduce the different conference themes. Do you want to present your work? *Abstract submission deadline is in 1 week**.* More info at amcosconference.com. *DATE AND VENUE* March 19, 2018 March 20 - 23, 2018 PRBB , Biomedical Research Park of Barcelona *KEYNOTE SPEAKERS* - Leon Glass, - Damian H. Zanette. *LIST OF SPEAKERS (*TBC)* - Peter Ashwin, - Ernest Barreto, - Ginestra Bianconi*, - Raffaella Burioni, - Dante R. Chialvo, - Gustavo Deco, - Albert D?az-Guilera, - Jordi Garcia-Ojalvo, - Wulfram Gerstner*, - Sonja Gr?n, - Cristina Masoller, - Yamir Moreno, - Florian Mormann, - Hiroya Nakao, - Diego Paz? , - Juan G. Restrepo , - Alex Roxin, - Tilo Schwalger. *TOPICS COVERED* synchronization and nonlinear dynamics - dynamics on networks - connectivity and network inference - data analysis in neuroscience - critical phenomena - neural field models - computational neuroscience - complex oscillatory behaviour in physiology *TUTORIALS* Leading experts in the field will introduce the different conference themes interactively in tutorials on the first day of the conference week. The speakers are: - Ralph G. Andrzejak, - Arkady Pikovsky, - Michael Rosenblum, - Aneta Stefanovska. A (tentative) list of topics comprises basic theory of synchronization, synchronization approach to data analysis, basic concepts of nonlinear time series analysis, and time series analysis of non-autonomous dynamics. The participants are required to bring laptops installed with MATLAB/Octave if they want to take part in the practical activities. ORGANIZERS The doctoral students (Early Stage Researchers ) of the H2020 Marie Curie project COSMOS . For further information see amcosconference.com or contact us via e-mail . Please forward to anyone interested. Follow us on social media. Twitter: @amcosconference Facebook: amcosconference -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Wed Dec 13 10:38:59 2017 From: tarek.besold at googlemail.com (tarek.besold at googlemail.com) Date: Wed, 13 Dec 2017 15:38:59 -0000 Subject: Connectionists: Cognitive Computation Symposium: Thinking Beyond Deep Learning (CoCoSym) // February 27, 2018 // City, University of London Message-ID: <004401d37428$7f7d2c60$7e778520$@gmail.com> === Cognitive Computation Symposium: Thinking Beyond Deep Learning (CoCoSym) === Location: City, University of London Date: February 27, 2018 Website: http://www.neural-symbolic.org/CoCoSym2018/index.html Registration: http://estore.city.ac.uk/product-catalogue/conference-events/school-specific -events/cognitive-computation-symposium-thinking-beyond-deep-learning Host/Chair: Tarek R. Besold (City, University of London) Co-Convenors: Artur d'Avila Garcez (City, University of London), Michael Spranger (Sony CSL), Michael Witbrock (IBM Research AI). Confirmed speakers include: - Eduardo Alonso (City, University of London) - Antoine Bordes (Facebook AI Research) - Edward Grefenstette (DeepMind) - Barbara Hammer (Bielefeld University) - Kristian Kersting (TU Darmstadt) - Alessio Lomuscio (Imperial College London) - Stephen Muggleton (Imperial College London) - Alessandra Russo (Imperial College London) - Luciano Serafini (Fondazione Bruno Kessler) - Frank van Harmelen (VU Amsterdam) - Geraint Wiggins (Queen Mary, University of London) - Michael Wooldridge (University of Oxford) - Willem Zuidema (University of Amsterdam). --- Tarek R. Besold, PhD WWW: http://www.cat-ai.org Twitter: @jeublanc LinkedIn: http://www.linkedin.com/in/tarekbesold/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dw0031 at surrey.ac.uk Wed Dec 13 10:48:18 2017 From: dw0031 at surrey.ac.uk (dw0031 at surrey.ac.uk) Date: Wed, 13 Dec 2017 15:48:18 +0000 Subject: Connectionists: LVA/ICA 2018 Call for Papers - 14th International Conference on Latent Variable Analysis and Signal Separation Message-ID: Dear List, ==================================== == LVA/ICA 2018 - CALL FOR PAPERS == 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 Paper submission deadline: January 15, 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. We are pleased to invite you to submit research papers to the 14th LVA/ICA which will be held at the University of Surrey, Guildford, UK, from the 2nd to the 6th of July, 2018. The conference is organized by the Centre for Vision, Speech and Signal Processing (CVSSP); and the Institute of Sound Recording (IoSR). The proceedings will be published in Springer-Verlag's Lecture Notes in Computer Science (LNCS). == Topics == Prospective authors are invited to submit original papers (8-10 pages in LNCS format) in areas related to latent variable analysis, independent component analysis and signal separation, including but not limited to: - Theory: * sparse coding, dictionary learning * statistical and probabilistic modeling * detection, estimation and performance criteria and bounds * causality measures * learning theory * convex/nonconvex optimization tools * sketching and censoring for large scale data - Models: * general linear or nonlinear models of signals and data * discrete, continuous, flat, or hierarchical models * multilinear models * time-varying, instantaneous, convolutive, noiseless, noisy, over-complete, or under-complete mixtures * Low-rank models, graph models, online models - Algorithms: * estimation, separation, identification, detection, blind and semi-blind methods, non-negative matrix factorization, tensor decomposition, adaptive and recursive estimation * feature selection * time-frequency and wavelet based analysis * complexity analysis * Non-conventional signals (e.g. graph signals, quantum sources) - Applications: * speech and audio separation, recognition, dereverberation and denoising * auditory scene analysis * image segmentation, separation, fusion, classification, texture analysis * biomedical signal analysis, imaging, genomic data analysis, brain-computer interface - Emerging related topics: * sparse learning * deep learning * social networks * data mining * artificial intelligence * objective and subjective performance evaluation == Keynote Speakers == - Orly Alter Scientific Computing & Imaging Institute and Huntsman Cancer Institute, University of Utah, USA - Andrzej Cichocki Brain Science Institute, RIKEN, Japan - Tuomas Virtanen Laboratory of Signal Processing Tampere University of Technology, Finland == 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 == - Paper submission deadline: January 15, 2018 - Notification of acceptance: March 19, 2018 - Camera ready submission: April 16, 2018 - Summer School: July 2, 2018 - Conference: July 3-6, 2018 == Website == For further information and information on how to submit, 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 =============================== From iccsmd-science at UVA.NL Wed Dec 13 17:17:22 2017 From: iccsmd-science at UVA.NL (iccsmd-science) Date: Wed, 13 Dec 2017 22:17:22 +0000 Subject: Connectionists: CfP ICCS-2018: International Conference on Computational Science. Wuxi, China, June 11-13, 2018 In-Reply-To: <570FBEB24183E94F9354FD0B7E26DF6B4587547E@MBX03.uva.nl> References: <570FBEB24183E94F9354FD0B7E26DF6B37BCF359@MBX03.uva.nl>, <570FBEB24183E94F9354FD0B7E26DF6B37BD0365@MBX03.uva.nl>, <570FBEB24183E94F9354FD0B7E26DF6B37BD1381@MBX03.uva.nl>, <570FBEB24183E94F9354FD0B7E26DF6B37BD138D@MBX03.uva.nl>, <570FBEB24183E94F9354FD0B7E26DF6B37BD13B1@MBX03.uva.nl>, <570FBEB24183E94F9354FD0B7E26DF6B4587547E@MBX03.uva.nl> Message-ID: <570FBEB24183E94F9354FD0B7E26DF6B45876492@MBX03.uva.nl> Dear Computational Scientists, season's greetings! Please join us in Wuxi, in the heart of supercomputing in June 2018! ( #1 supercomputer Sunway TaihuLight is in Wuxi, China) And please forward the call to your colleagues: ****************************************************** * ICCS 2018 * International Conference on Computational Science * Wuxi, China, June 11-13, 2018 * http://www.iccs-meeting.org/iccs2018/ ****************************************************** ---------------------------------- News: ---------------------------------- [1] Main Track submission deadline extended to January 15. Please create a new submission now to indicate your interest: https://easychair.org/conferences/?conf=iccs2018 [2] 16 thematic workshops confirmed: http://www.iccs-meeting.org/iccs2018/registered-workshops They may have different deadlines, please check the workshop webpages or contact workshop organisers. [3] Three keynotes confirmed: https://www.iccs-meeting.org/iccs2018/keynote-lectures/ - Xiaofei Chen, Southern University of Science and Technology, China - Sarika Jalan, Indian Institute of Technology Indore, India - Petros Koumoutsakos, Swiss Federal Institute of Technology Zurich, Switzerland [4] Please forward the call to your colleagues or tack a poster to your door: https://www.iccs-meeting.org/iccs2018/wp-content/uploads/2017/12/Web_CfP_2018_current.pdf ---------------------------------- Call for papers ---------------------------------- Authors are invited to submit manuscripts reporting original unpublished research and recent developments in Computational Sciences by January 15, 2018. https://easychair.org/conferences/?conf=iccs2018 All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. After the conference, selected papers will be invited for a special issue of the Journal of Computational Science (Impact Factor: 1.748, 5-Year Impact Factor: 2.009 http://www.journals.elsevier.com/journal-of-computational-science). The ICCS conference is the prime annual event in Computational Science. This interdisciplinary conference on modelling and simulation of real-world phenomena will draw academic and industry leaders from all relevant fields. ICCS intends to provide a forum to disseminate world-leading research in the field of (scientific) Computational Science and in particular to highlight the role which modelling and simulation plays in future scientific discovery. ICCS 2018 invites original contributions on all topics related to Computational Science, including, but not limited to: * Scientific Computing * Problem Solving Environments * Advanced Numerical Algorithms * Complex Systems: Modeling and Simulation * Hybrid Computational Methods * Web- and Grid-based Simulation and Computing * Parallel and Distributed Computing * Advanced Computing Architectures and New Programming Models * Visualization and Virtual Reality as Applied to Computational Science * Applications of Computation as a Scientific Paradigm * New Algorithmic Approaches to Computational Kernels and Applications * Computational Humanities * Education in Computational Science * Large Scale Scientific Instruments * Computational Sociology * Medical and Biomedical Computational Science As the conference theme this year is ?Science at the Intersection of Data, Modelling and Computation?, papers highlighting the role of these three fundamental concepts in shaping modern science will be particularly welcome. ICCS is an ERA 2010 A-ranked conference series. For further details please visit http://www.iccs-meeting.org/iccs2018/ ---------------------------------- Papers: ---------------------------------- Papers of 10-14 pages, written in English and complying with the Springer LNCS format, should be submitted electronically through the ICCS-Easychair submission system https://easychair.org/conferences/?conf=iccs2018 Templates are available for download in the Easychair menu in a "New submission" mode. Submission implies the willingness of at least one of the authors to register and present the paper. Papers must be based on unpublished original work and must be submitted to ICCS only. ---------------------------------- Important dates: ---------------------------------- Paper submission deadline: January 15, 2018 Author registration deadline: March 16, 2018 Conference sessions: June 11-13, 2018 ---------------------------------- Conference Organisers: ---------------------------------- Local Organisers: Yong Shi (University of Chinese Academy of Sciences, China) Haohuan Fu (National Supercomputing Center in Wuxi, China) Workshop Chair: Michael Harold Lees (University of Amsterdam, The Netherlands) Publicity Chair: Valeria V. Krzhizhanovskaya (University of Amsterdam, The Netherlands and ITMO University, Russia) Scientific Chair: Peter M.A. Sloot (University of Amsterdam, The Netherlands and Complexity Institute NTU, Singapore) Scientific Co-Chair: Jack Dongarra (University of Tennessee, USA) ---------------------------------- ----- To unsubscribe please send an email to LISTSERV at MLIST.NTU.EDU.SG with the following command in the body of your email: SIGNOFF ICCS or UNSUBSCRIBE ICCS From shabnam.kadir at gmail.com Wed Dec 13 19:29:27 2017 From: shabnam.kadir at gmail.com (Shabnam Kadir) Date: Thu, 14 Dec 2017 00:29:27 +0000 Subject: Connectionists: PhD studentship in Biocomputation Research Group, Centre for Computer Science and Informatics Research, University of Hertfordshire Message-ID: Applications are invited for a *PhD studentship* on *Computational frameworks for high-dimensional neural data* with *Dr. Shabnam Kadir *in the *Biocomputation Research Group* in the Centre for Computer Science and Informatics Research, University of Hertfordshire, U.K. *Project Description* New developments in experimental technology have led to petabytes of raw data being produced by experimental neuroscientists, which are increasingly publicly available, e.g. Allen Institute data http://www.brain-map.org/. In particular, we are in the realm where population recordings of tens of thousands of neurons are feasible thanks to, e.g. a new generation of large dense probes for electrophysiological recordings, imaging using 2-photon microscopy coupled with calcium fluorescent sensors. Large scale neuronal recordings require novel approaches for both processing and quantitative analysis. As well as using techniques from high-dimensional statistics, machine learning, information theory, we aim to explore new approaches from mathematical fields outside statistics, such as algebraic topology. The study of networks is a particularly important topic in neuroscience: neurons communicate with each other electrically via synapses, forming intricate networks. These networks can be studied using techniques from computational topology (e.g. persistent homology, clique topology). These could be used to extract information about subnetworks and assemblies, both from large scale recordings, and via connectomics derived from simulations (Blue Brain Project). We aim in this project to go beyond spike sorting and develop new tools and computational frameworks which would help interpret high dimensional data and interrogate how information is being processed by the brain, e.g. How are sensory stimuli (location in environment, visual and auditory stimuli) encoded? How can we characterise the neural activity associated with memory, attention, decision making and motor control? We shall be collaborating with labs at Imperial, Pennsylvania State University and UCL. More information can be found here: http://www.herts.ac.uk/_ _data/assets/pdf_file/0003/187455/Dec2017-computational-frameworks-for-high- dimensional-neural-data.pdf *Requirements * We are looking for candidates with the following profile: - Strong first degree in a quantitative field such as mathematics, physics, computer science, engineering, computational neuroscience. - Strong programming skills (e.g. Python, MATLAB, C++). - Interest in neuroscience and biology would be helpful. A studentship from the PhD Programme in Computer Science provides approximately ?14,550 per annum bursary plus the payment of student fees. Applicants from outside the UK or EU are eligible. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the latest Research Excellence Framework Assessment, with 50% of the research submitted rated as internationally excellent or world leading. The Centre for Computer Science and Informatics Research provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Please contact *Dr Shabnam Kadir* (shabnam.kadir at imperial.ac.uk) for informal enquiries. Application forms are available under http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research/ the-phd-programme-in-computer-science and should be returned to Mrs Lorraine Nicholls and Mrs Emma Thorogood, Research Student Administrators, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, doctoralcollegeadmissions at herts.ac.uk. The short-listing process will begin on 8 January 2018. The earliest start date will be mid-April 2018. -- ---------------------------------------------------------------------------------------------------------------- Dr. Shabnam Kadir Department of Bioengineering Imperial College London Royal School of Mines Exhibition Road London, SW7 2AZ United Kingdom ---------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From weixu at cse.ohio-state.edu Wed Dec 13 18:55:05 2017 From: weixu at cse.ohio-state.edu (Xu, Wei) Date: Wed, 13 Dec 2017 23:55:05 +0000 Subject: Connectionists: Final Joint Call for Tutorial Proposals: ACL/COLING/EMNLP/NAACL 2018 Message-ID: = Final Joint Call for Tutorial Proposals: ACL/COLING/EMNLP/NAACL 2018 = The Association for Computational Linguistics (ACL), the International Conference on Computational Linguistics (COLING), the Conference on Empirical Methods in Natural Language Processing (EMNLP), and the North American Chapter of the Association for Computational Linguistics (NAACL) invite proposals for tutorials to be held in conjunction with ACL 2018, COLING 2018, EMNLP 2018, or NAACL 2018. We seek proposals for tutorials in all areas of computational linguistics, broadly conceived to include related disciplines such as linguistics, speech, information retrieval and multimodal processing. We particularly welcome (1) tutorials that cover advances in newly emerging areas not previously covered in any ACL/COLING/EMNLP/NAACL related tutorial, or (2) tutorials that provide introductions into related fields that are potentially relevant for the CL community (e.g., bioinformatics, social media, human language processing, machine learning techniques). Tutorials will be held at one of the following conference venues: ACL 2018 is the 56th Annual Meeting of the Association for Computational Linguistics. It will be held in Melbourne, Australia on July 15?20, 2018. The ACL tutorials will be held on July 15th. ACL webpage: http://acl2018.org/ COLING 2018 is the 27th Biennial International Conference on Computational Linguistics (COLING). It will be held in Santa Fe, New Mexico, USA on August 20-25, 2018. The COLING tutorials will be held on August 20-21. The webpage for COLING is: http://coling2018.org/ EMNLP 2018 is the SIGDAT conference on Empirical Methods in Natural Language Processing (EMNLP). EMNLP will be held in Brussels, Belgium on October 31 - November 4th, 2018. The EMNLP tutorials will be held on October 31st and November 1st, 2018. The EMNLP webpage will be updated when it is available. NAACL 2018 is the 16th Annual Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL). It will be held in New Orleans, Louisiana, USA, June 1-6, 2018. The NAACL tutorials will be held on June 1. The webpage for NAACL 2018 is: http://naacl2018.org/ REMUNERATION Information on the payment for tutorial instructors can be found in the Tutorial Teacher Payment Policy Please note: remuneration for tutorial presenters is fixed according to the above policy and does not cover registration fees for the main conference. SUBMISSION DETAILS Proposals should be submitted as PDF documents. Proposals should contain: 1. A title and brief description of the tutorial content and its relevance to the CL community (not more than 2 pages). 2. A brief outline of the tutorial structure showing that the tutorial?s core content can be covered in a three-hour slot (including a coffee break). In exceptional cases six-hour tutorial slots are available as well. 3. The names, affiliations, email addresses and websites of the tutorial instructors, including a one-paragraph statement of their research interests and areas of expertise. 4. Please provide an estimate of the audience size for the tutorial. If the same or a similar tutorial has been given before, a note specifying where previous versions of the tutorial were given, how many attendees were there, and how many attendees the tutorial attracted. 5. A description of special requirements for technical equipment (e.g., internet access). 6. A note specifying which venue(s) (ACL/COLING/EMNLP/NAACL) would be acceptable and/or preferable. Please include a description of any constraints that might make the tutorial compatible with only one of these events, logistically, thematically, or otherwise. Tutorial proposals should be submitted online using the START system: https://www.softconf.com/i/cl-tutorials2018 Proposals will be reviewed jointly by the Tutorial Co-Chairs of the four conferences. TUTORIAL SPEAKER RESPONSIBILITIES Accepted tutorial speakers will be notified by February 1st, 2018. They must then provide abstracts of their tutorials for inclusion in the conference registration material by the specific conference deadlines. The description should be in two formats: an ASCII version that can be included in email announcements and published on the conference website, and a PDF version for inclusion in the electronic proceedings (detailed instructions will be provided). Tutorial speakers must provide tutorial materials, at least containing copies of the course slides as well as a bibliography for the material covered in the tutorial, by the deadlines specified for the four conferences, to be determined later. IMPORTANT DATES Shared dates: * Submission deadline for tutorial proposals: January 20th, 2018 * Notification of acceptance: February 1st, 2018 TUTORIAL CHAIRS ACL: * Yoav Artzi, Cornell University, USA * Jacob Eisenstein, Georgia Institute of Technology, USA COLING: *Pascale Fung, UST, Hong Kong *Donia Scott, Sussex, UK *Marilyn Walker, University of California Santa Cruz, USA EMNLP: *Mausam, IIT Delhi, India *Lu Wang, Northeastern University, USA NAACL-HLT: * Mohit Bansal, U North Carolina, USA * Rebecca Passonneau, Penn State U, USA Please send enquiries concerning ACL/COLING/EMNLP/NAACL 2018 tutorials to: acl-coling-emnlp-naacl-tutorials at googlegroups.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From fernando.perezcruz at sdsc.ethz.ch Thu Dec 14 10:10:37 2017 From: fernando.perezcruz at sdsc.ethz.ch (Perez Cruz Fernando (SDSC)) Date: Thu, 14 Dec 2017 15:10:37 +0000 Subject: Connectionists: [CfP] IEEE Data Science Workshop Message-ID: <522A63B7-31E6-4636-AF1D-D7FE668420D7@sdsc.ethz.ch> CALL FOR PAPERS IEEE Data Science Workshop, June 4-6, 2018 Lausanne, Switzerland Website: http://2018.ieeedatascience.org Contact: contact at 2018.ieeedatascience.org ****Submission Deadline: Feb 9, 2018**** The 2018 IEEE Data Science Workshop is a new workshop that aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science theory and applications. In particular, the event will gather researchers and practitioners in various academic disciplines of data science, including signal processing, statistics, machine learning, data mining and computer science, along with experts in academic and industrial domains, such as personalized health and medicine, earth and environmental science, applied physics, finance and economics, intelligent manufacturing. The scientific program will include invited plenary talks, as well as regular oral and poster sessions with contributed research papers, and data challenge sessions. Papers are solicited in (but not limited to) the following topics: ? Computational models and representation for data science. Tensor factorizations. Compressive sampling. Randomized linear algebra. Graph simplifications and multiresolution representations. Transformations and spectral representations. Distributed algorithms. ? Acquisition, storage, and retrieval for large-scale data science. Hardware and architectures. Software and Cyber-infrastructure. Protocols for networked storage. Compression for data storage. Sketching and streaming. Scaling up algorithms. ? Visualization, summarization, and analytics. Data presentation architectures and dashboards. Data visualization and human perception / cognition. Business intelligence. Data wrangling. ? Learning, modeling, and inference with data. Graph signal processing. High-dimensional spatiotemporal modeling. Theoretical limits. Anomaly detection. Graph learning. Statistical modeling of heterogeneous data types. Post-selection inference. Analysis of deep learning algorithms. Crowdsourcing. Stream mining. Statistical uncertainty quantification. ? Data science education. Innovative approaches to teaching data science. Data-informed learning theory. Learning analytics. ? Data science process and principles. Reproducible research. Open source data science. Workflow. Meta-analysis. Data science ethics. Automation of data science via meta-learning. Algorithmic fairness. Bias in science. ? Applications. Social media, recommendation systems and collaborative filtering. Defense, intelligence and security. Biology and medicine. Astronomy and other physical sciences. Audio, image, video analytics and computer vision. Urban informatics. Social sciences. Business analytics, forensics and finance. Applications leveraging domain knowledge for data science. PAPER SUBMISSION Papers should be at most four pages long in double-column format. Information regarding the submission process is available on the workshop website. SPECIAL SESSIONS Special session proposals can be submitted through the workshop website. They must include a topical title, session outline, contact information of proposers, and the list of invited papers and authors. Special session authors are referred to the workshop website for additional information regarding the submission process. GRAND CHALLENGES Exciting data challenges with real-world impact will be communicated in time before the workshop. The challenges will be hosted by crowdAI.org and powered by RENGA, the SDSC analytics platform for collaborative open science. AWARDS Three types of awards are being set up: Best Paper Award, Best Student Paper Award and the Grand Challenges Award. The selection criteria for these awards include the scientific quality of the paper and the presentation of the oral contribution or challenge presentation. IMPORTANT DATES Deadline for special session proposals: December 15, 2017 Submission of full papers: February 9, 2018 Notification of acceptance: April 6, 2018 Author advance registration: May 1, 2018 Camera-ready paper submission: May 1, 2018 COMMITTEE General Chairs Olivier Verscheure, SDSC, Switzerland Pascal Frossard, EPFL, Switzerland Technical Program Chairs Antonio Ortega, USC, USA Eric Kolaczyk, BU, USA Keynote Speakers Chair Philippe Cudr?-Mauroux, University of Fribourg, Switzerland Special Sessions Chair Deepak Turaga, IBM Research, USA Grand Challenges Chair Marcel Salath?, EPFL, Switzerland Finance Chair Dorina Thanou, SDSC, Switzerland Publication Chair Xiaowen Dong, University of Oxford, UK Publicity and Local Arrangements Chair Floriane Jacquemet, SDSC, Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.deGreeff at tudelft.nl Thu Dec 14 06:15:56 2017 From: J.deGreeff at tudelft.nl (Joachim de Greeff) Date: Thu, 14 Dec 2017 12:15:56 +0100 Subject: Connectionists: [1st CFP] HRI-2018 Workshop on *Longitudinal Human-Robot Teaming* Message-ID: <8fb76a31-edda-d9ab-4026-9384985026ee@tudelft.nl> * Apologies for cross postings * ===================================================================== HRI-2018 Workshop -- Longitudinal Human-Robot Teaming March 5, 2018 -- Chicago, IL, USA Website: http://bradhayes.info/hri18/ Submission deadline: January 19, 2018 Contact: J.deGreeff at tudelft.nl ===================================================================== Overview ===================================================================== As robots that share working and living environments with humans proliferate, Human-Robot Teaming (HRT) is becoming more relevant every day. HRT does not happen in just one moment, but extends and develops over time. Long-term joint activity is bound to face changes in the environment, possibly changes in the (structure of) the team and/or in the way that tasks are performed and in the expectations that team members have of each other and their teaming. As a team faces different situations it accumulates experience and this allows it to grow. Longitudinal HRT, i.e. teaming which develops over time, is still relatively under-explored as most studies of HRT focus on teaming which happens in the ?now?. For many domains however, the notion of changes over time is very relevant. Examples include disaster response, public safety, education, and manufacturing, but also emerging fields such as autonomous vehicles. So, how do robots and other artificial agents deal with teamwork from a long-term perspective? How to enable them to track experience in changing conditions, learn from it and adapt to new situations? Models of HRT need to incorporate the time dimension to allow cooperation dynamics to be shaped by a changing environment. Development over time brings about various levels of uncertainty, as many real-life situations are only predictable up to a certain point. Thus, uncertainty poses additional challenges for sustaining effective teaming between humans and robots. Uncertainty can also exist in the spatial environment in which teamwork takes place, and in the interaction between team-members. Topics of interest ===================================================================== Topics include, but are not limited to: - Dealing with changes over time (e.g. task and team structures, goals, etc) - Dealing with uncertainty about the environments (both spatial and social) - Learning and adaptation over time to become an effective team-member - Learning capability boundaries of an autonomous system for optimized task division - Learning user models over time for enabling personalized interaction - Joint activity planning under uncertainty - Designing for long-term interdependence within human-robot teams - Understanding, modeling, and shaping long-term team dynamics in mixed human-robot teams - Collaborator action and sustainable preference modeling - Generating verbal and non-verbal acts for management and coordination of team activities developing over time - Leveraging human-robot interaction to request assistance or to recover from failure modes Keynote Speaker ===================================================================== * Robin Murphy * Raytheon Professor of Computer Science and Engineering at Texas A&M University and Director of TEES Center for Robot-Assisted Search and Rescue (CRASAR) and the Center for Emergency Informatics Submission details ===================================================================== We will accept contributed papers as either extended abstracts/short papers (2-4 pages), industry white papers (2 pages), position papers (up to 8 pages), or technical papers (up to 8 pages). Each paper will be assigned two reviewers that will evaluate the submission based on significance, technical quality, and relevance. All papers should be submitted in PDF format using the HRI LBR template (see http://humanrobotinteraction.org/2018/lbr), and should be sent to longitudinal.teaming at gmail.com. All submitted papers within the scope of the workshop will be peer-reviewed. Papers will be selected based on their originality, relevance, contributions, technical clarity, and presentation. Accepted papers will require that at least one author registers for and attends the workshop. Details are available on the workshop?s website: http://bradhayes.info/hri18/ Important dates ===================================================================== Submission deadline: January 19, 2018 Acceptance notification: February 2, 2018 Camera-ready deadline: February 16, 2018 Workshop: March 5, 2018, 8am to 12.30pm Organizers ===================================================================== - Joachim de Greeff, Delft University of Technology, the Netherlands - Jurriaan van Diggelen, TNO the Netherlands, the Netherlands - Bradley Hayes, University of Colorado Boulder, USA - Ivana Kruijff-Korbayov?, DFKI, Germany Program Committee: - Koen Hindriks, Delft University of Technology, the Netherlands - Matthew Johnson, IHMC, USA - Catholijn Jonker, Delft University of Technology, the Netherlands - Mark Neerincx, Delft University of Technology/TNO, the Netherlands - Matthew Gombolay, Georgia Institute of Technology, the Netherlands - Melissa Cefkin, Nissan USA, the Netherlands - Joachim de Greeff, Delft University of Technology, the Netherlands - Jurriaan van Diggelen, TNO Human Factors, the Netherlands - Bradley Hayes, University of Colorado Boulder, USA - Ivana Kruijff-Korbayova, DFKI, Germany -- ______________________________________________ Dr Joachim de Greeff - Postdoctoral researcher EU FP7 TRADR project (http://tradr-project.eu) Interactive Intelligence group Delft University of Technology EWI / EEMCS - room HB 12.240 Mekelweg 4, 2628 CD, Delft Delft, The Netherlands http://joachimdegreeff.eu ______________________________________________ From barros at informatik.uni-hamburg.de Thu Dec 14 10:00:06 2017 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Thu, 14 Dec 2017 16:00:06 +0100 Subject: Connectionists: =?utf-8?q?CFP=3A_Special_Session_on_=E2=80=9CNeur?= =?utf-8?q?al_Models_for_Behavior_IJCNN_2018?= Message-ID: <9a3f24fe-3e04-8e5f-5d53-be17e6aad23d@informatik.uni-hamburg.de> Call for papers: special session on ?Neural Models for Behavior Recognition? at IJCNN 2018 - http://www.ecomp.poli.br/~wcci2018/ 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 Special Session on Neural Models for Behavior Recognition Organized by: Pablo Barros (Universit?t Hamburg, Germany), Bruno Fernandes (Universidade de Pernambuco, Brazil) and Stefan Wermter (Universit?t Hamburg, Germany) Categorizing and, to a certain degree, understanding human behavior is an important skill for autonomous systems. A robot able to identify whether a person needs help, an autonomous car to perceive whether a pedestrian is crossing the road, or a camera to localize someone in danger need a robust and reliable human behavior understanding. Although many different solutions have appeared in the past years, most of them do not take longer contextual information into consideration, usually only relying on instantaneous or short-context scenarios which limits the applicability of such systems in a real-world scenario. The potential of having neural models that take into consideration contextual information is substantial and it would be beneficial to develop this technology further for this field. To have a system which is capable of learning, understanding and generalizing human behavior within a longer contextual scene is a challenging task. With recent neural computing technologies, such as training and understanding deep neural networks, life-long learning and unsupervised approaches, to name a few, we believe that autonomous systems which are capable of learning from long-context human behavior are feasible. This kind of processing would provide contextual information which would be beneficial to understanding and acting in real-world scenarios. We invite papers on both practical and theoretical issues about neural learning for behavior recognition. In particular, topics of interest include, but are not limited to: - Gesture processing, recognition and/or generation - Models for emotional behavior analysis and/or understanding - Speech based sentiment analysis and/or dialog processing - Action recognition and/or generation - Crossmodal human behavior learning - Temporal architectures for human behavior learning - Emotional feedback and modulation in decision-making processes - Life-long learning for human behavior processing Submitted papers will be reviewed according to the IJCNN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style. More details: http://www.ecomp.poli.br/~wcci2018/submissions/#papersubmission IMPORTANT DATES: ??? Paper submission: 15th January 2018 ??? Paper acceptance: 15th March 2018 ??? Final paper submission: 1st May 2018 ??? Early registration: 1st May 2018 ??? IEEE WCCI 2018 conference: 8-13 July 2018 Dr. rer. nat. Pablo Barros Knowledge Technology Department of Informatics University of Hamburg barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html https://www.informatik.uni-hamburg.de/wtm/ -- Dr.rer.nat. Pablo Barros Research Associate Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html www.knowledge-technology.info From poirazi at imbb.forth.gr Fri Dec 15 02:44:14 2017 From: poirazi at imbb.forth.gr (Yiota Poirazi) Date: Fri, 15 Dec 2017 09:44:14 +0200 Subject: Connectionists: Announcing the EMBO Workshop on Dendrites 2018, June 17-20, CRETE Message-ID: Dear friends and colleagues, we are happy to announce the 3rd DENDRITES meeting in Crete! June 17-20, 2018 Heraklion, Crete We have secured an amazing list of speakers to present their research on dendrites, at the molecular, anatomical and biophysical level as well as speakers from other fields that apply dendritic features in machine learning and/or nanotechnology. We look forward to hosting you and your lab members in Heraklion this June! *Organizing committee:* Yiota Poirazi, IMBB-FORTH Erin Schuman, MPI for Brain Research Michael Hausser, UCL Matthew Larkum, Hamboldt University Important dates: - ABSTRACT SUBMISSION DEADLINE - 15 February 2018 - EARLY REGISTRATION ENDS - 31 March 2018 On behalf of the organizing committee, Yiota Poirazi ps: Apologies for multiple postings If you are having trouble reading this email, view the Web Version. [image: EMBO events] EMBO Workshop Dendrites 2018: Dendritic anatomy, molecules and function 17?20 June 2018 | Heraklion, Greece Interested in attending? Visit the website: http://meetings.embo.org/event/18-dendrite Register by: 15 February 2018 Find us on Facebook at https://www.facebook.com/events/315305315543112/ or join the conversation on Twitter with #EMBOdendrites18. [image: EMBO] [image: calendar] [image: facebook] [image: twitter] [image: youtube] -- 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: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: icon_twitter.png Type: image/png Size: 2608 bytes Desc: not available URL: From Donald.Adjeroh at mail.wvu.edu Wed Dec 13 09:22:54 2017 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 13 Dec 2017 14:22:54 +0000 Subject: Connectionists: Call for Papers: SBP-BRiMS'2018 -- Social Computing, Behavior/Cultural Modeling, Prediction and Simulation In-Reply-To: References: , <7F764823-1B48-42D3-AE2E-520611D0232D@jhuapl.edu>, , , Message-ID: Apologies if you receive multiple copies ... 2018 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation July 10 (Tuesday) - 13 (Friday), 2018, George Washington University, Washington DC, USA http://sbp-brims.org IMPORTANT DATES: Regular Paper (10-page) Submission: 22-December-2017 Author Notification: 05-February-2018 Final Version Submission: 26-February-2018 Short/Late Breaking Paper (6-page) Submission: 14-May-2018 Tutorial, Demo, and Challenge Problem Submissions: 14-May-2018 Doctoral consortium submissions due: 14-May-2018 Author Notification: 01-June-2018 Final Version Submission for Short Papers: 18-June 2018 Final Version Submission for Challenge Problem: 25-June 2018 All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Top papers will be invited to publish an extended version in a special issue of Computational and Mathematical Organization Theory. All accepted regular papers will be published in our archival physical proceedings - the Springer LNCS volume. Short papers are intended for late breaking findings, research at a more conceptual stage, and other research not appropriate as a regular paper. Accepted short papers will be published only in our on-line non-archival proceedings. The conference will include the following special sessions: Pre-conference Tutorial Sessions: July 10 (first day of the conference) Graduate Consortium: July 13 Poster Session: At Conference Poster Night Technology Demos: During Conference lunch times and Poster Night Challenge Problem Evaluation: At Conference Poster Night Funding Panel & Cross-Fertilization Roundtable* * Previous SBP conferences have included a Cross-Fertilization and/or Funding Panels. The purpose of these panels is to help participants become better acquainted with people outside of their discipline and provide an opportunity for conference participants to interact with program managers from various federal funding agencies. FORMAT AND SUBMISSION: See our webpage (http://sbp-brims.org) for format details. For any questions and inquiries concerning submissions, please email at sbpbrims at andrew.cmu.edu. CALL FOR PAPERS: SBP-BRIMS is an interdisciplinary conference integrating methods from the computational sciences and the social sciences. Submissions are solicited on research issues, theories, methodologies, and applications. Late-breaking research is encouraged. Historical topics of interest have included the following, however this is by no means exhaustive or exclusive: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and evolution * Collective action, public opinion representation, and governance * Cultural patterns, representation, and psycho-cultural situation awareness * Social conventions, social contexts and influence processes * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking Information, Systems, & Network Science * Data mining and analytics on social media for social and human dynamics * Diffusion and other dynamic processes over networks * Detection and inference over network topologies and changes over time * Analysis of high-dimensional networks, link formations, and link types Military & Intelligence Applications * Evaluation, modeling and simulation of military capacities and political influence * Impact of technological innovation on influence and information spread * Group representation and profiling, including extremist behaviors and policies * Cybersecurity, cyber-policy, and attribution * Methods of collating open source data into information describing events and activities Applications for Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Model federation, validation and integration * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation TRAVEL SCHOLARSHIPS: It is anticipated that a limited number travel scholarships will be available on a competitive basis. Additional information will be provided on the SBP-BRiMS Conference website as it becomes available. -------------- next part -------------- An HTML attachment was scrubbed... URL: From drwuusc at gmail.com Fri Dec 15 05:43:35 2017 From: drwuusc at gmail.com (Dongrui Wu) Date: Fri, 15 Dec 2017 05:43:35 -0500 Subject: Connectionists: CFP: The first Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia 2018) Message-ID: <00b701d37591$8f808a70$ae819f50$@gmail.com> 2018 The first Asian Conference on Affective Computing and Intelligent Interaction http://acii-asia-2018.org/CFP_ACII.html Location: Beijing, China Important Dates: Paper Submission Deadline: 10 January 2018 Notification of Acceptance: 6 March 2018 Camera Ready Papers Due: 23 March 2018 Conference: 20 -22 May 2018 The first AAAC Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia 2018) is the premier Asian forum for interdisciplinary research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. ACII Asia 2018 will be held in the historic city Beijing, China 20-22 May 2018. The theme of ACII Asia 2018 will be "Affective Intelligence". ACII Asia 2018 will emphasize the collaboration between engineering and human sciences (including biological, social and cultural aspects of human life) and highlight the impact and applications of affective computing technologies in the wider world. Within affective science more broadly, there is an explosion of interest in realizing more natural human-computer interaction by taking affective computing into consideration. Also, understanding of how emotion is represented in the brain and how it shapes the body in biological processes is welcomed in ACII Asia 2018. The meeting will be jointly hosted by the Technical Committee on Human-Computer-Interaction of China Society of Image and Graphics (CSIG), the Technical Committee on Artificial Psychology and Artificial Emotion of the Chinese Association for Artificial Intelligence (CAAI), the Local Interest Group Asia of the Association for the Advancement of Affective Computing (AAAC) and Institute of Automation, Chinese Academy of Science (CASIA). Proceedings are proposed to be submitted for inclusion to IEEE Xplore. The conference will address, but is not limited to the following topics: Recognition and Synthesis of Human Affect: . Motion Capture for Affect Recognition . Synthesis of Multimodal Affective Behavior . Multimodal Data Fusion for Affect Recognition . Affective Speech Analysis, Recognition and Synthesis . Affective Text Processing and Sentiment Analysis . Facial and Body Gesture Recognition, Modelling and Animation . Recognition and Synthesis of Auditory Affect Bursts (Laughter, Cries, etc.) . Affect Recognition from Alternative Modalities (Physiology, Brain Waves, etc.) Affective Interfaces: . Interfaces for Attentive & Intelligent Environments . Human-Centred Human-Behaviour-Adaptive Interfaces . Design of Affective Loop and Affective Dialogue Systems . Evaluation of Affective, Behavioural, and Proactive Interfaces . Mobile, Tangible and Virtual/Augmented Multimodal Proactive Interfaces . Tools and System Design Issues for Building Affective and Proactive Interfaces Psychology & Cognition of Affect in Affective Computing Systems: . Ethical Issues in Affective Computing . Computational Models of Emotional Processes . Cultural Differences in Affective Design and Interaction . Social and Behavioral Science Involving Affective Computing . Issues in Psychology & Cognition of Affect in Affective Computing Systems Affective and Social Robotics and Virtual Agents: . Embodied Issues in Emotion . Personality in Embodied Conversational Agents . Emotion in Robot and Virtual Agent Cognition and Action . Models of Emotion for Embodied Conversational Agents . Biologically-Inspired Architectures for Affective and Social Robotics . Memory, Reasoning, and Learning in Affective Conversational Agents . Developmental and Evolutionary Models for Affective and Social Robotics Affective Applications: . Biometrics . Affective Databases and Annotation Tools . Virtual Reality, Entertainment, Education, Ambient Intelligence -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tony.Pipe at brl.ac.uk Fri Dec 15 03:55:57 2017 From: Tony.Pipe at brl.ac.uk (Tony Pipe) Date: Fri, 15 Dec 2017 08:55:57 +0000 Subject: Connectionists: Professor of Robotics In-Reply-To: <2db371ad-8c8f-fb5c-b8df-4eaf200976b8@brl.ac.uk> References: <5710AC8D.6000205@brl.ac.uk> <2db371ad-8c8f-fb5c-b8df-4eaf200976b8@brl.ac.uk> Message-ID: <473661d5-b5d2-2eea-d034-827ca681a574@brl.ac.uk> Job title: Professor of Robotics Department: Bristol Robotics Laboratory Campus/location: Frenchay, Bristol campus Salary band: ?60,173 - ?86,889 per annum Duration of post: Permanent Closing date: 19 January 2018 @ 23:59 Job Overview: The Bristol Robotics Laboratory at the Faculty of Environment & Technology have an exciting permanent and full time position for a Professor of Robotics to join BRL within the Engineering, Design & Mathematics Department. The Robotics and Autonomous Systems (RAS) research-and-innovation pipeline is now experiencing unprecedented growth, evidenced by substantial new research opportunities appearing across the UK, EU and global funding landscape. In the context of Human-Robot Interaction, you will champion research in control systems underpinning: 1. advanced augmented and virtual reality via immersive tele-operation; 2. dynamic Levels of Autonomy (LoA) , typically varying from teleoperation to autonomous control, i.e., the ability to dynamically switch between different LoA so as to significantly outperform any single Level. These research topics can lead naturally to shared control frameworks that enable both human and AI to collaborate in controlling one or more robots, thus simultaneously fusing reasoning from both the human and the autonomous agent. These methods are particularly relevant to safety-critical application domains where remote operation and varying autonomy could be highly beneficial. This strategic focus resonates strongly as a fundamental and core issue in domains that stretch from assisted living, through robot-assisted surgery, to operations in an array of challenging and/or hazardous environments (e.g. nuclear decommissioning, subsea, space, offshore maintenance), and human-robot teamwork in manufacturing domains that incorporate critical elements of ?Industrie 4.0?. In all of these areas, a human-in-the-loop may be required for some or even all of the time, but complex manipulations may be too difficult to directly teleoperate efficiently. We are looking for a candidate that could take on the challenge of joining these common factors across the application domains, all of which are existing foci for BRL, i.e., a candidate who will work with and grow our existing teams as part of our BRL Unique Selling Point. We welcome applications from researchers able to build on strongly linked disciplines and who are fully committed to developing one or more of the area of research outlined above. UWE Bristol is an ambitious university. Together, our people are working hard to advance knowledge, inspire people and transform futures. We are looking for people with the skills and ambition to help us achieve those aims. We are a well-established university, with over 27,000 students, 250,000 alumni and 3,000 staff. Students come to study with us from all over the UK, as well as from 140 different countries around the world, making this a diverse and interesting place to come and study. Bristol itself is a hub of social and cultural activity. A place with a strong, creative and fiercely independent mindset. A city with a buzzing music scene, great restaurants and interesting business ventures. It?s not surprising Bristol is consistently named as one of the best places to live and work in the UK. In addition to progressive pay rates, UWE Bristol offers a wide range of staff benefits including: * a generous holiday allowance of 35 Days * up to 12.5 bank holiday/closure days per year in addition; * flexible working; * excellent defined benefit pension schemes; * option to participate in the cycle to work scheme; * family friendly policies; * onsite nursery at our Frenchay Campus; * option to purchase childcare vouchers. This post is based at our lively Frenchay campus where we have invested in the latest facilities and resources to give our students access to everything they need to succeed ? with ?300m being spent on new state-of-the-art learning spaces and accommodation between now and 2020 to enhance our offer even further. Frenchay campus is within close proximity to excellent motorway links and within walking distance of two train stations, making UWE Frenchay Campus the ideal place to work for those wishing to commute to Bristol. If you have any queries or would like an informal discussion, please contact the Director of BRL, Prof. Chris Melhuish at Chris.Melhuish at uwe.ac.uk or on +44 117 328 6332. Link to Bristol Robotics Laboratory with more details of the laboratory and full advert is: http://www.brl.ac.uk (http://www.brl.ac.uk/jobsatbrl.aspx for advert only). Alternative link for more details of the role and how to apply, please visit: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTY5MzczMiZvd25lcj01MDU1Mjc4Jm93bmVydHlwZT1mYWlyJnBvc3RpbmdfY29kZT00OTcmdnRfdGVtcGxhdGU9MTUzOA&jcode=1693732&owner=5055278&ownertype=fair&posting_code=497&vt_template=1538 -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 -------------- next part -------------- An HTML attachment was scrubbed... URL: From smartstart at fz-juelich.de Fri Dec 15 04:14:53 2017 From: smartstart at fz-juelich.de (Smart Start Coordination Office) Date: Fri, 15 Dec 2017 10:14:53 +0100 Subject: Connectionists: Call for Applications Message-ID: <032fec54-5561-06c5-e3a1-43844ab1b180@fz-juelich.de> Opening of Application Portal approaching: Ready for a SMARTSTART into Computational Neuroscience? We invite first and second-year Master students with a background in related fields to apply to our joint training program SMARTSTART. The program aims at complementing previous studies with concepts, theories and techniques of Computational Neuroscience. SMARTSTART consists of two programs. Both of them last one year each and take place at numerous locations of the Bernstein Network and further locations throughout Germany. SMARTSTART 1 provides financial support to then second-year Master students, allowing them to attend supplementary courses and training visits at participating institutions. Students will receive an experienced faculty mentor who will advise and guide them at this educational stage. SMARTSTART 2 provides fully funded positions for pre-PhD students. At the start of the program, these students will have already obtained their Master?s degree and are in the process of selecting a PhD project. SMARTSTART 2 allows them to elaborate their own PhD proposal as a collaborative project between two labs. This comprises exchange visits as well as voluntary attendance of lectures and courses offered by participating institutions. Both SMARTSTART programs will commence the next round in the winter term 2018/19. The Deadline for application is Wednesday, February 28, 2018. More information can be found on our website: www.smartstart-compneuro.de Best regards, Kathrin Hebert -- Coordination Office Smart Start - Joint Training Program in Computational Neuroscience 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 9593 mail: smartstart at fz-juelich.de web: www.nncn.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 sahidullahmd at gmail.com Fri Dec 15 05:08:35 2017 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Fri, 15 Dec 2017 15:38:35 +0530 Subject: Connectionists: Three Postdoctoral Researchers/Project Researchers (Speech Processing and Deep Learning) Message-ID: [Apologies for cross-posting] Three Postdoctoral Researchers/Project Researchers (Speech processing and deep learning) Deadline: December 22, 2017 (by 24:00 EET) The University of Eastern Finland, UEF, is one of the largest multidisciplinary universities in Finland. We offer education in nearly one hundred major subjects, and are home to approximately 15,000 students and 2,500 members of staff. From 1 August 2018 onwards, we?ll be operating on two campuses, in Joensuu and Kuopio. In international rankings, we are ranked among the leading universities in the world. The Faculty of Science and Forestry operates on the Kuopio and Joensuu campuses of the University of Eastern Finland. The mission of the faculty is to carry out internationally recognised scientific research and to offer research-education in the fields of natural sciences and forest sciences. The faculty invests in all of the strategic research areas of the university. The faculty?s environments for research and learning are international, modern and multidisciplinary. The faculty has approximately 3,800 Bachelor?s and Master?s degree students and some 490 postgraduate students. The number of staff amounts to 560. http://www.uef.fi/en/ lumet/etusivu We are now inviting applications for three Postdoctoral Researcher/Project Researcher positions in speech processing and deep learning funded by Academy of Finland, School of Computing, Joensuu Campus. o Two positions in automatic speaker rec, voice conversion, anti-spoofing (NOTCH project) o One position in deep reinforcement learning for physical agents (DEEPEN project) The two projects share similarities in terms of machine learning methods being used and developed further, but are otherwise differently focused. The NOTCH research project (NOn-cooperaTive speaker CHaracterization), being led by Associate Professor Tomi Kinnunen, aims at advancing state-of-the-art in automatic speaker verification (defense) and voice conversion (attack) under a generic umbrella of non-cooperative speech, whether being induced by spoofing attacks, disguise, or other intentional voice modifications. A successful applicant needs to have background in speaker verification, anti spoofing, voice conversion, machine learning or closely related topics. The DEEPEN research project (Deep Reinforcement Learning for Physical Agents) is run in co operation between UEF and robotics group at Aalto University. UEF?s part, lead by Senior Researcher Ville Hautam?ki, aims at designing new statistical models for simulated robot control and to take steps towards solving the so-called ?reality gap? problem. The post-doc may also contribute to speech and deep learning topics. A successful applicant needs to have background in deep learning, reinforcement learning, speech technology or machine vision. Practical experience in DRL research environments (e.g. VizDoom or MuJoCo), will be counted as a plus. The Machine Learning group of the School of Computing, at the facilities of Joensuu Science Park, provides access to modern research infrastructure and is a strongly international working environment. We hosted the Odyssey 2014 conference, were a partner in the H2020-funded OCTAVE project, and are a co-founder of the Automatic Speaker Verification and Countermeasures (ASVspoof) challenge series (http://www.asvspoof.org/). A person to be appointed as a postdoctoral researcher shall hold a suitable doctoral degree that has been awarded less than five years ago. If the doctoral degree has been awarded more than five years ago, the post will be one of a project researcher. The doctoral degree should be in spoken language technology, electrical engineering, computer science, machine learning or a closely related field. Researchers finishing their PhD in the near future are also encouraged to apply for the positions. However, they are expected to hold a PhD degree by the starting date of the position. We expect strong hands-on experience and creative out-of-the-box problem solving attitude. A successful applicant needs to have an internationally proven track record in topics relevant to the project he or she applies to. English may be used as the language of instruction and supervision in these positions. The positions will be filled from earliest January 1, 2018 for a period of 12 months. The continuation of the position will be agreed separately. The position will be filled for a fixed term due to pertaining to a specific project (Postdoctoral researcher positions shall always be filled for a fixed term, UEF University Regulations 31 ?). The salary of the position is determined in accordance with the salary system of Finnish universities and is based on level 5 of the job requirement level chart for teaching and research staff (?2.865,30/ month). In addition to the job requirement component, the salary includes a personal performance component, which may be a maximum of 46.3% of the job requirement component. For further information on the position, please contact (NOTCH): Associate Professor Tomi Kinnunen, email: tkinnu at cs.uef.fi, tel. +358 50 442 2647 <+358%2050%204422647> and (DEEPEN): Senior Researcher Ville Hautam?ki, email: villeh at cs.uef.fi, tel. +358 50 511 8271 <+358%2050%205118271>. For further information on the application procedure, please contact: Executive Head of Administration Arja Hirvonen, tel. +358 44 716 3422 <+358%2044%207163422>, email: arja.hirvonen at uef.fi. A probationary period is applied to all new members of the staff. You can use the same electronic form to apply for both research projects. The electronic application should contain the following appendices: - a r?sum? or CV - a list of publications - copies of the applicant's academic degree certificates/ diplomas, and copies of certificates / diplomas relating to the applicant?s language proficiency, if not indicated in the academic degree certificates/diplomas - motivation letter - a cover letter indicating the position to be applied for - The names and contact information of at least two referees are requested in the application form. The application needs to be submitted no later than December 22, 2017 (by 24:00 EET) by using the electronic application form. Navigate to http://www.uef.fi/en/uef/en-open-positionsand search for ?Three Postdoctoral Researchers/Project Researchers (Speech processing and deep learning)? to find the link to the electronic application form. -- Dr. Md Sahidullah tel. +358-466250731 or +91-9433289799 website: *https://sites.google.com/site/iitkgpsahi/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From marta.ruiz at upc.edu Fri Dec 15 08:27:35 2017 From: marta.ruiz at upc.edu (Marta Ruiz) Date: Fri, 15 Dec 2017 14:27:35 +0100 Subject: Connectionists: Upcoming call for postdoctoral positions in Barcelona Message-ID: Upcoming call for postdoctoral positions in the *Center for Language and Speech Technologies and Applications* *(TALP). *TALP is a specific interdepartmental research center at the Technical University of Catalunya (UPC) . The Language and Speech Technologies Research Center at UPC would like to draw the attention of young postdoctoral researchers in Speech and Language Processing to the imminent opening of two different calls for a number of 2-year postdoctoral contracts within the "Juan de la Cierva" program of the Spanish Ministry for Economy, Industry, and Competitiveness (MINEICO). 1) "Ayudas para contratos Juan de la Cierva-formaci?n": For early stage researchers who were awarded their PhD between 1 January 2016 and 31 December 2017. The application period will start on 21 December 2017 and will end on 11 January 2018. The currently available information about the call be found here (in Spanish): http://www.idi.mineco.gob.es/p ortal/site/MICINN/menuitem.dbc68b34d11ccbd5d52ffeb801432ea0/ ?vgnextoid=998cf4215103f510VgnVCM1000001d04140aRCRD 2) "Ayudas para contratos Juan de la Cierva-incorporaci?n": For researchers who were awarded their PhD between 1 January 2013 and 31 December 2015 The application period will start on 20 December 2017 and will end on 10 January 2018. The currently available information about the call be found here (in Spanish): http://www.idi.mineco.gob.es/p ortal/site/MICINN/menuitem.dbc68b34d11ccbd5d52ffeb801432ea0/ ?vgnextoid=8d50f4215103f510VgnVCM1000001d04140aRCRD TALP encourages qualified candidates, working in areas within the research scope of the center, to send a short expression of interest and a 2-page cv to info at talp.upc.edu by 21st December 2017. Please, add as a subject **Juan de la Cierva Application** Research areas of interest to the group include: - audio analysis and enhancement, - construction and use of multilingual lexical resources, - development of speech databases, - information extraction, - information retrieval, - machine learning methods, - machine translation, - multilingual robust speech recognition, - multilingual text-to-speech conversion, - natural language interfaces, - natural language processing tools, - speaker and emotions recognition. http://www.talp.upc.edu/index.php/talp-open-position/254-upc oming-call-for-postdoctoral-positions-in-spain https://www.linkedin.com/feed/update/urn:li:activity:6345900589997715456/ https://twitter.com/TALP_UPC/status/940140622958288896 https://www.linkedin.com/feed/update/urn:li:activity:6345900589997715456 https://www.linkedin.com/feed/update/urn:li:activity:6345900589997715456 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Chabane.Djeraba at univ-lille1.fr Fri Dec 15 09:42:04 2017 From: Chabane.Djeraba at univ-lille1.fr (Chabane Djeraba) Date: Fri, 15 Dec 2017 15:42:04 +0100 Subject: Connectionists: Special Issue on Bio/Neuroscience inspired pattern recognition Message-ID: <3092-5a33df00-1b-12ef3b80@108002014> Special Issue on Bio/Neuroscience inspired pattern recognition The special issue is an open call inviting papers from anybody working on bio/neuroscience inspired pattern recognition methods with particular stress on significant advances. All papers will undergo the same rigorous Pattern Recognition revision process. Please refer to the guidelines for authors of PR website for detailed instructions on paper format http://www.journals.elsevier.com/pattern-recognition/. Submission deadline: March 31, 2018 Guest editors: Chaabane Djeraba, Professor, University of Lille, France, chabane.djeraba at univ-lille1.fr Zhongfei Zhang, Professor, State University of New York at Binghamton, USA, zhongfei at cs.binghamton.edu Farzin Deravi, Reader, University of Kent, UK, F.Deravi at kent.ac.uk From J.Spencer at uea.ac.uk Fri Dec 15 10:03:28 2017 From: J.Spencer at uea.ac.uk (John Spencer (PSY - Staff)) Date: Fri, 15 Dec 2017 15:03:28 +0000 Subject: Connectionists: Multi-Disciplinary Workshop on Developmental Dynamics June 3-6, 2018... In-Reply-To: References: <20CE8005-83B2-46F7-895E-7305A219CE7B@uea.ac.uk> Message-ID: Greetings Colleagues, It gives us great pleasure to announce 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. In the past three decades, there has been a growing appreciation of development as a dynamical system. Historically, this reflects the application of methods in physics and mathematics to emerging concepts in psychological science. As we consider developmental dynamics 30 years on, the workshop seeks renewed multi-disciplinary synergies to broaden our understanding of developmental process. Toward this end, we bring developmental scientists together with modellers, cognitive systems researchers, roboticists, and neuroscientists to exchange ideas, recognizing that outside-the-box thinking can both enhance how we think about development and shape discussions in other disciplines. A complete description of both events including registration and poster submission information can be found at our website: https://etf2018.dynamicfieldtheory.org/ The list of speakers includes Linda Smith, Denis Mareschal, Gregor Schoner, Will Penny, Daniela Corbetta, Aaron Buss, Yulia Sandamirskaya, Chen Yu, Teea Gliga, Andrew Bayliss, Sebastian Schneegans, Ingo Bojak, Larissa Samuelson, Kim Plunkett, Angelo Cangelosi, Nadja Althaus, Vanessa Simmering, Torkel Klingberg, Sobana Wijeakumar, Natasha Kirkham, Gert Westermann, Eric Jackson, Tom FitzGerald, Mathis Richter, Sean Deoni, Michael Thomas, Martin Doherty, John Spencer, Sarah Lloyd Fox, Ajaz Bhatt, Brad Love, and Pierre-Yves Oudeyer, Dietmar Heinke, Alfredo Pereira, Jessica Horst, and Lynn Perry. Please join us for these exciting events. Attendees of the Jean Piaget Society Annual Meeting Please Note: Norwich is a 40-minute flight from Amsterdam, affording easy access to attendees of JPS 2018. Sincerely, The ETF2018 Organizers: John Spencer, Larissa Samuelson, Gregor Schoner, Yulia Sandamirskaya 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 [cid:image001.png at 01D375B5.DCE76940] 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: 8375 bytes Desc: image001.png URL: From tarek.besold at googlemail.com Fri Dec 15 12:24:44 2017 From: tarek.besold at googlemail.com (tarek.besold at googlemail.com) Date: Fri, 15 Dec 2017 18:24:44 +0100 Subject: Connectionists: Interdisciplinary College 2018: "Me, my Self, and I" // March 9-16, 2018 // Early-bird registration deadline: January 7, 2018 Message-ID: <007b01d375c9$9a117cf0$ce3476d0$@gmail.com> === Interdisciplinary College 2018: "Me, my Self, and I" === Date: March 9-16, 2018 Location: Guenne at Lake Moehne, Germany Website: https://www.interdisciplinary-college.de/ Early-bird registration deadline: January 7, 2018 ### Executive summary ### The next IK will be held from 9-16 March 2018, with the focus theme "Me, my Self, and I". This focus theme addresses questions such as: * Who am I? * Where is my self? * What is it like to be me? In doing so, different aspects of self-models, self-perception, and self-consciousness will be approached using different epistemic and theoretical approaches in a truly interdisciplinary fashion. IK2018 aims to provide an open space for debate and a framework of courses that should enable participants to extend their knowledge in various disciplines. They will help to establish informed opinions about questions pertaining to the concept I, the self, and personhood. More precisely, perspectives of different disciplines will be used to approach the focus theme: Biology to investigate the evolution and development self-models in animals and computer science to see if and how one can create artificial selves and what one can learn from them. Philosophy to discuss concepts of self-models, self-perception, and ethics. Clinical disciplines to investigate what happens when self-models are altered or disrupted by pathologies or unusual states of mind. And finally, arts as a form of self-expression and source of self-reflection. More information can be found on http://www.interdisciplinary-college.de. --- Tarek R. Besold, PhD WWW: http://www.cat-ai.org Twitter: @jeublanc LinkedIn: http://www.linkedin.com/in/tarekbesold/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Sat Dec 16 12:45:17 2017 From: max.garagnani at gmail.com (Max Garagnani) Date: Sat, 16 Dec 2017 17:45:17 +0000 Subject: Connectionists: New MSc in Computational Cognitive Neuroscience Message-ID: _____________________________________________ ********************************************* Apologies for cross-posting ? please forward to relevant undergraduate Programmes or interested parties: The Departments of Computing and Psychology at Goldsmiths, University of London (UK) are pleased to announce the launch of a new MSc programme in Computational Cognitive Neuroscience: http://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ Applications are currently being considered for the 2018-19 Academic Year. If interested, apply now ? * PLACES ARE LIMITED *. For any queries or further information, please contact the Programme co-directors: Dr. Maria Herrojo-Ruiz (M.Herrojo-Ruiz at gold.ac.uk) Dr. Max Garagnani (M.Garagnani at gold.ac.uk) _____________________________________________ ********************************************* Many thanks & kind regards, Max -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Sun Dec 17 12:59:04 2017 From: terry at salk.edu (Terry Sejnowski) Date: Sun, 17 Dec 2017 09:59:04 -0800 Subject: Connectionists: NEURAL COMPUTATION - January, 2018 In-Reply-To: Message-ID: Neural Computation - Volume 30, Number 1 - January 1, 2018 Available online for download now: http://www.mitpressjournals.org/toc/neco/30/1 ----- Articles Dynamics of Learning in MLP: Natural Gradient and Singularity Revisited Shun-ichi Amari, Tomoko Ozeki, Ryo Karakida, Yuki Yoshida, and Masato Okada Balancing New Against Old Information: The Role of Puzzlement Surprise in Learning Faraji Mohammadjavad, Kerstin Preuschoff, and Wulfram Gerstner Why Do Similarity Matching Objectives Lead to Hebbian/anti-Hebbian Networks? Cengiz Pehlevan, Anirvan M. Sengupta, and Dmitri B. Chklovskii Letters Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models Jacob ?tergaard, Mark A Kramer, and Uri Eden Mechanism-based and Input-output Modeling of the Key Neuronal Connections and Signal Transformations in the CA3-CA1 Regions of the Hippocampus Kunling Geng, Dae C. Shin, Dong Song, Robert E Hampson, Sam A Deadwyler, Theodore Berger, and Vasilis Z Marmarelis Improved Perceptual Learning by Control of Extracellular GABA Concentration by Astrocytic Gap Junctions Osamu Hoshino, Meihong Zheng, and Kazuo Watanabe Sequence Classification Using Third Order Moments Rasmus Troelsgaard, Lars Kai Hansen Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatio-Temporal Scales RNN Model Minkyu Choi, Jun Tani. Temporal Causal Inference With Time Lag Sizhen Du, Guojie Song, Lei Han, and Haikun Hong ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From Chabane.Djeraba at univ-lille1.fr Sun Dec 17 12:36:23 2017 From: Chabane.Djeraba at univ-lille1.fr (Chabane Djeraba) Date: Sun, 17 Dec 2017 18:36:23 +0100 Subject: Connectionists: Special Issue on Bio/Neuroscience inspired pattern recognition Message-ID: <7a86-5a36ab00-23-45a44c80@49069905> Special Issue on Bio/Neuroscience inspired pattern recognition https://www.journals.elsevier.com/pattern-recognition/call-for-papers/special-issue-on-bioneuroscience-inspired-pattern-recognitio The special issue is an open call inviting papers from anybody working on bio/neuroscience inspired pattern recognition methods with particular stress on significant advances. All papers will undergo the same rigorous Pattern Recognition revision process. Please refer to the guidelines for authors of PR website for detailed instructions on paper format http://www.journals.elsevier.com/pattern-recognition/. Submission deadline: March 31, 2018 Guest editors: Chaabane Djeraba, Professor, University of Lille, France, chabane.djeraba at univ-lille1.fr Zhongfei Zhang, Professor, State University of New York at Binghamton, USA, zhongfei at cs.binghamton.edu Farzin Deravi, Reader, University of Kent, UK, F.Deravi at kent.ac.uk From M.Baltieri at sussex.ac.uk Mon Dec 18 03:02:18 2017 From: M.Baltieri at sussex.ac.uk (Manuel Baltieri) Date: Mon, 18 Dec 2017 17:02:18 +0900 Subject: Connectionists: CFP, Special session - Hybrid Life: Approaches to integrate biological, artificial and cognitive systems, ALife 2018 Message-ID: [Apologies for cross-posting] ********** Call for Papers ********** Special session - Hybrid Life: Approaches to integrate biological, artificial and cognitive systems https://sites.google.com/view/hybrid-life/ 2018 Artificial Life conference (ALife) Tokyo, JAPAN, 23-27 July 2018 - http://2018.alife.org/ --------------------------------------------------------------------------------------------- DESCRIPTION: The main focus of ALife research is the study of natural systems with the goal of understanding what life is. More concretely, ALife defines ways to investigate processes that contribute to the formation and proliferation of living organisms. In this session we focus on three common approaches to tackle this investigation, proposing ways to integrate, extend and possibly improve them. More specifically we refer to: 1) the formalisation of the necessary properties for the definition of life, 2) the implementation of artificial agents, and 3) the study of the relation between life and cognition. For this special session we propose to start from these well-established Alife methodologies, and extend them through: a unified formal language for the description and modelling of living, as well as artificial and cognitive systems, e.g. control theory, Bayesian inference, dynamical systems theory, etc., the exploration of biological creatures enhanced by artificial systems (or artificial systems augmented with organic parts) in order to investigate the boundaries between living and nonliving organisms, and the evaluation of coupled biological-artificial systems that could shed light on the importance of interactions among systems for the study of living and cognitive organisms. This special sessions aims to invite contributions from the fields of psychology, computational neuroscience, HCI, theoretical biology, artificial intelligence, robotics and cognitive science to discuss current research on the formalisation, combination and interaction of artificial/living/cognitive systems from theoretical, modelling and implementational perspectives. Potential topics include, but are not limited to: Formalisation of life and cognition (e.g. dynamical systems theory, stochastic optimal control, Bayesian inference, etc.) Cognitive robotics Autopoiesis Life-mind continuity thesis Systems biology Origins-of-life theories with relationships to artificial and cognitive systems Animal-robot interaction Bio-inspired robotics Bio-integrated robotics Human-machine interaction Augmented cognition Sensory substitution Interactive evolutionary computation Artificial perception Important Dates 19th March 2018 ? Paper submission deadline 23rd April 2018 ? Paper acceptance notification 21st May 2018 ? Camera-ready version 23-27th July 2018 ? Artificial Life conference (ALife), Tokyo, Japan Paper Submission Papers and abstracts submitted to this special sessions will be reviewed by a selected group of experts from the a-life community as well as from other areas key to our proposal, specifically chosen for this review process. If you are submitting to a special session you will be given the opportunity to select it during the submission process. Submissions to special sessions follow the same format, instructions and deadlines of regular ALife papers. Organizers Manuel Baltieri, University of Sussex, Brighton, UK. m.baltieri at sussex.ac.uk Keisuke Suzuki, University of Sussex, Brighton, UK. k.suzuki at sussex.ac.uk Hiryuki IIzuka, Hokkaido University, Sapporo, Japan hiroyukiiizuka at gmail.com Contacts For questions, enquiries and more information please check our website https://sites.google.com/view/hybrid-life/ or get in touch with m.baltieri at sussex.ac.uk . All the best, -- Manuel Baltieri, EASy group Department of Informatics, University of Sussex, UK Twitter: @manuelbaltieri -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Mon Dec 18 08:46:26 2017 From: benoit.frenay at unamur.be (Benoit Frenay) Date: Mon, 18 Dec 2017 14:46:26 +0100 Subject: Connectionists: Full-time lecturer in Computer Science Message-ID: Dear colleagues, The University of Namur is recruiting a full-time lecturer in the Faculty of Computer Science (http://www.unamur.be/info). Please find the full description on https://goo.gl/QsAvbv, here below in plain text and attached in PDF (English and French). Additional information may be obtained from Prof. Vincent Englebert, Dean of the Faculty of Computer Science (doyen.info at unamur.be). Best regards, Prof. Beno?t Fr?nay ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ + + JOB VACANCY + +++++++++++ + + Full-time lecturer in Computer Science In the Faculty of Computer Science + +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Faculty : Faculty of Computer Science Grade : Lecturer Category : Academic staff Post : Allocation au cadre Reference : 296- 130 URL: https://goo.gl/itcJhs The University of Namur is recruiting a full-time lecturer in the Faculty of Computer Science (http://www.unamur.be/info). Job description =============== The Faculty of Computer Science provides cutting-edge teaching and research, with a view to putting computers at the service of society, taking account of their impact on the environment and respectful of the values of solidarity and sustainable development. This fits within a broad, holistic and inter-disciplinary vision of computer science. The specific orientation of the successful candidate shall reflect the broad and interdisciplinary vision of the Faculty and shall contribute to its global mission by targeting, for example, subjects such as large scale and distributed computing, software engineering and artificial intelligence. This orientation shall have at least a potential opening towards current fields of application in society, such as energy and sustainable development, healthcare, ageing, mobility, or intelligent objects (see EU themes). In addition, other areas of competence and application may also be taken into consideration, with qualifications being as important as the field of specialisation. The successful candidate shall be responsible for teaching on the Bachelors and Masters courses, for day-time and adult evening classes. They shall also supervise end-of-study theses. They shall use dynamic and stimulating teaching methods, following the innovative institutional teaching policy (PUNCH).? The successful candidate shall conduct research at international level in areas of computer science likely to lead to cooperation with other academic staff in the Faculty. They shall supervise doctoral theses. Through their research activities, they will contribute to the international visibility of the University. The specific orientation of the candidate shall reflect the broad interdisciplinary vision of the Faculty. Finally, they will end up providing service activities within the Faculty and/or the University. The Faculty will be particularly favourable to those candidates who show a capacity for openness, integration, evolution and for adapting both at thematic and at personal level. Qualifications required ======================= The successful candidate shall: - hold a doctorate in computer science or equivalent (the certificate ? to be awarded in the near future where appropriate); - show experience and/or teaching skills suitable for a university ? audience; - show the existence of scientific experience recognised by ? publications at international level; - master both spoken and written French in order to give lectures ? immediately within the remit and which shall be given in French. The following aspects shall be considered as attributes: - experience in university teaching and a particular aptitude for ? dynamic and stimulating teaching methods. - an academic posting of considerable duration in an institution other ? than where the thesis was written; - a capacity for working in a team and for integrating research ? results into teaching ; - creativeness and an awareness of teaching innovation and ? interdisciplinarity ; - a capacity for animating or even leading a team of researchers; - mastering both spoken and written English or a commitment to acquire ? such during the year following the taking up of the position, with ? the knowledge of other languages representing an additional ? advantage. Contract ======== Entry into service is expected to be 1 June 2018. The Management Board provides for a period of integration of two years if it is the first time that the candidate is appointed to the academic staff of the University of Namur. At the end of this period the candidate should be officially appointed in his post. The salary proposed is in accordance with the rate applied by all the universities in the Wallonia-Brussels Federation. (https://www.unamur.be/universite/jobs/baremes). Applications & additional information ===================================== Applications should be submitted using a form which can be downloaded from the UNamur website at the following address: http://www.unamur.be/universite/jobs/. The form should be sent before 31 January 2018 in paper format with signature to the Human Resources Service of the University of Namur, Rue de Bruxelles 61, 5000 Namur (Belgium), or by email to candidature at unamur.be. An electronic version of the application should also be sent to the Dean of the Faculty of Computer Science (secretariat.info at unamur.be). The form should be accompanied by - a letter of motivation ; - a full Curriculum Vitae; - a document summarising the candidate?s research plan as well as ? plans for the five years ahead (maximum 3 pages) ; - a document summarising the candidate?s proposed teaching programme ? (maximum 3 pages); - a maximum of 3 scientific articles; - course evaluations (if available). Candidates whose application is successful will be invited to give, during the two months following the deadline for applications, a lecture on a given subject and to present their research to Faculty members. Additional information may be obtained from Prof. Vincent Englebert, Dean of the Faculty of Computer Science (doyen.info at unamur.be). Environment =========== The University of Namur, with around 60 university courses in first, second and tertiary cycles and its 64 laboratories and research centres hosts nearly 7000 undergraduate and postgraduate students and has over 1200 staff members, including nearly one thousand researchers. Within the University of Namur the Faculty of Computer Science has over 400 students on daytime and evening/Saturday timetable, 80 members of staff including 18 professors and around 50 researchers. Founded in 1968, the Faculty of Computer Science has trained over 1,800 high-level computer science graduates since then. The Faculty of Computer Science provides cutting-edge teaching and research, with a view to putting computers at the service of society, taking account of their impact on the environment and respectful of the values of solidarity and sustainable development. The Faculty is a founder member of the Namur Digital Institute (NADI) which groups together over 150 researchers in the field of digital technology. Research in the Faculty is focused on information and communications systems. The Faculty contributes to the development of such systems through different aspects of engineering (information engineering, software engineering, networks) and basic aspects (models, languages and methods). It has a multi-disciplinary approach and addresses in particular the issues and challenges of computer science in organisations and in society. The Faculty has therefore developed strong research synergies with other disciplines such as law, management, sociology and ethics. Capital of Wallonia, Namur is a highly convivial town with 100,000 inhabitants located 50 km south of Brussels, at 2h50 from Paris and 3h30 from London. -- Beno?t FR?NAY Associate Professor Faculty of Computer Science T. +32 (0)81 724 976 (secr. 725 252) F. +32 (0)81 724 967 benoit.frenay at unamur.be Universit? de Namur ASBL Rue de Bruxelles 61 - 5000 Namur Let?s respect the environment together. Only print this message if necessary! -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Academicprofile2017-100%-EN.pdf Type: application/pdf Size: 130119 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Profil acad?miques 2017-100%-FR.pdf Type: application/pdf Size: 130125 bytes Desc: not available URL: From sebastian.schmitt at kip.uni-heidelberg.de Mon Dec 18 10:22:31 2017 From: sebastian.schmitt at kip.uni-heidelberg.de (Sebastian Schmitt) Date: Mon, 18 Dec 2017 16:22:31 +0100 Subject: Connectionists: Announcing the Structures - IWH symposium "Beyond Digital Computing: The power of quantum and Neural networks" (19 - 21 March 2018) Message-ID: <446e5d3d-8db7-8c97-1dfb-32f7f9bde59c@kip.uni-heidelberg.de> Dear Colleagues, We kindly invite you to join us at the international symposium ?Beyond Digital Computing: The Power of Quantum and Neural Networks?. The full simulation of complex systems, both in the classical and quantum regime, is far beyond the capabilities of current computing schemes. Recent proposals aim to push the boundaries of computability with hybrid strategies based on machine learning, network theory, neuromorphic hardware, and quantum simulation. Our international symposium aims to bring together experts at different stages in their careers to explore novel ways in which to harness the full potential of these emerging architectures. The symposium will be held on March 19 ? 21, 2018 at the International Academic Forum Heidelberg, the flagship conference venue of Heidelberg University. (http://www.iwh.uni-hd.de/index_engl.html). More information about the symposium, list of invited speakers, and application are available at the symposium?s website: http://bdc.physi.uni-heidelberg.de. Please feel free to share this announcement with your colleagues and students. Kind regards, Sebastian Schmitt Philipp Preiss Juris Ulmanis From dw0031 at surrey.ac.uk Tue Dec 19 03:56:31 2017 From: dw0031 at surrey.ac.uk (dw0031 at surrey.ac.uk) Date: Tue, 19 Dec 2017 08:56:31 +0000 Subject: Connectionists: SiSEC 2018: Community-Based Signal Separation Evaluation Campaign Message-ID: -------------------------------------------------------------------------- *** CALL FOR PARTICIPATION *** Community-Based Signal Separation Evaluation Campaign (SiSEC 2018) https://sisec.inria.fr/ Deadline for submission of separation results: April, 1st 2018 Following the success of the six previous editions, we are glad to announce the launch of the SiSEC 2018 campaign for the evaluation of source separation algorithms. This campaign is open to anyone, whether you are an expert or a newcomer, and whether your algorithm relies on prior information or not. This is a community-based endeavor: all aspects of evaluation, including datasets and evaluation criteria, are agreed between the participants. *A SPECIAL SISEC SESSION WILL TAKE PLACE AT LVA-ICA'18* participants are encouraged to present their methods there. When submitting your paper at LVAICA'18, pick "Special Session SiSEC". see more information at http://cvssp.org/events/lva-ica-2018/ This year, SiSEC features two audio tasks: 1) Professionally produced music recordings (MUS), Following the success of the previous editions, we worked a lot to improve the music separation task. This year's edition includes: - An augmented dataset, with 100 full songs for training, 50 songs for test, all mixed professionally in stereo, for anyone to use. - This year, all the data is encoded in the Native Instruments STEMS format, yielding only 4.4gb for 150 tracks, while maintaining trans- parent quality. - A set of Python tools to load, parse, and use the dataset easily. An easy-to-use standalone utility is also provided to convert the data to WAV if needed. - Baseline scripts implementing oracle methods, including Ideal Binary Mask, Ideal Ratio Mask, and Multichannel Wiener Filter. - Submission will be automated, and analysis plots will be generated automatically. 2) Asynchronous recordings of speech mixtures (ASY), runs with the same datasets and metrics as SiSEC 2015. Please visit https://sisec.inria.fr/ for further instructions. IMPORTANT DATES Jan 15th 2018 - LVA/ICA 2018 Paper submission deadline Mar 1st 2018 - Submission system for SiSEC open Apr 1st 2018 - Submission of separation results Apr 8th 2018 - Publication of separation results Apr 16 2018 - LVA/ICA Camera-ready papers deadline Jun 2nd 2018 - LVA/ICA 2018 conference begins. Please register to the mailing list sisec[at]inria.fr at https://sympa.inria.fr/sympa/info/sisec If you have any question, do not hesitate to contact us. Best regards, SiSEC 2018 Chair Antoine Liutkus PS: We are sorry in case of cross posting. -------------------------------------------------------------------------- From m.reske at fz-juelich.de Tue Dec 19 05:18:11 2017 From: m.reske at fz-juelich.de (Martina Reske) Date: Tue, 19 Dec 2017 11:18:11 +0100 Subject: Connectionists: Open position: Coordinator Scientific Computing at Research Center Juelich, Germany Message-ID: <53a6cff8-44f7-c59b-77fc-c042a4842264@fz-juelich.de> Dear Connectionist community The Institute of Neuroscience and Medicine (INM) investigates the structure and function of the human brain on different spatial and temporal scales within the research program ?Decoding the Human Brain?. The brain?s high complexity and plasticity over the lifespan of an individual, as well as changes during neuropsychiatric disorders, requires the use of innovative imaging methods and supercomputing technology. Basic neuroscience research 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. The department INM-6, Computational and Systems Neuroscience, develops mathematical models of neuronal dynamics and function. We are active in neuromorphic computing and develop simulation technologies and analysis tools. We are looking to recruit a Coordinator Scientific Computing Your Job: * Design and continuous advancement of a roadmap for scientific computing with regard to hard- and software * Designing a cloud infrastructure and digitized workflows in theoretical neuroscience * Studying international developments in hard- and software in the fields of simulation and data science in neuroscience * Planning, purchasing, set-up and management of UNIX, Linux, Mac OS and Windows systems, communication systems and software * Support of institute?s databases and online tools (webdav, git, wordpress, website); user management * Further development of simulation and analysis codes with regard to system near aspects * Measurement of energy-to-solution and time-to-solution of simulations and analysis codes for scientific studies * Direct support of scientists * Participation in working group leaders? meeting * Participation in relevant IT committees at Forschungszentrum Juelich * Participation in educating staff in HPC aspects Your Profile: * Completed study of informatics, mathematics or physics * Substantial expertise in C, C++ and Python * Substantial knowledge of UNIX, Windows and Mac OS * Experience with administration of HPC clusters, file, web and print servers as well as with parallel computing (ideally in neuroscience) * Beneficial: Basic knowledge of neuroscience concepts * 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 * 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) 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, quoting the reference number 2017-321. Contact Human Resource Development and Recruiting Kristin Lux 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 stefan.kiebel at tu-dresden.de Tue Dec 19 05:53:46 2017 From: stefan.kiebel at tu-dresden.de (Stefan Kiebel) Date: Tue, 19 Dec 2017 10:53:46 +0000 Subject: Connectionists: PhD position in Dresden/Germany Message-ID: <4b181e779e434272b9a069a08c62c200@MSX-T102.msx.ad.zih.tu-dresden.de> Hello everyone, the Department of Psychology at the TU Dresden (PI: Stefan Kiebel) is looking for a PhD student. The candidate will be working at the interface between computational and experimental neuroimaging research in cognitive control and goal-directed action sequences. Detailed information about the position can be found at: http://tiny.cc/henjpy The position in the group of Stefan Kiebel is associated with the DFG-funded CRC 940 'volition and cognitive control' (http://www.sfb940.de/en/home.html). The CRC aims at identifying the cognitive and neuronal mechanism, which underlie the volitional control of goal-directed actions as well as its dysfunctions in selected mental disorders. The candidate will work as a member of a team on computational modelling of goal-directed actions and explaining dynamics in cognitive control in terms of variations in control parameters. In this project, neuroimaging (fMRI and EEG) experiments will be used to test hypotheses derived using advanced Bayesian models of goal-reaching over multiple trials. With best wishes, Stefan -- Prof. Dr. Stefan Kiebel Chair of Neuroimaging Department of Psychology School of Science Technische Universit?t Dresden 01062 Dresden, Germany Tel.: +49 (351) 463-43145 Fax: +49 (351) 463-43147 -------------- next part -------------- An HTML attachment was scrubbed... URL: From pascualm at key.uzh.ch Tue Dec 19 10:32:49 2017 From: pascualm at key.uzh.ch (pascualm at key.uzh.ch) Date: Wed, 20 Dec 2017 00:32:49 +0900 Subject: Connectionists: Measures of time series coupling based on generalized weighted multiple regression Message-ID: Dear Colleagues, The pre-print at: https://doi.org/10.1101/235721 entitled "Measures of time series coupling based on generalized weighted multiple regression" might be of interest to those working in the field of brain connectivity based on signals of electric neuronal activity. The abstract can be found below, under the signature. Cordially, Roberto ... Roberto D. Pascual-Marqui, PhD, PD The KEY Institute for Brain-Mind Research, University of Zurich Visiting Professor at Neuropsychiatry, Kansai Medical University, Osaka [www.keyinst.uzh.ch/loreta] [scholar.google.com/citations?user=pascualmarqui] /////////////// Abstract: The sharing and the transmission of information between cortical brain regions is carried out by mechanisms that are still not fully understood. A deeper understanding should shed light on how consciousness and cognition are implemented in the brain. Research activity in this field has recently been focusing on the discovery of non-conventional coupling mechanisms, such as all forms of cross-frequency couplings between diverse combinations of amplitudes and phases, applied to measured or estimated cortical signals of electric neuronal activity. However, all coupling measures that involve phase computation have poor statistical properties. In this work, the conventional estimators for the well-known phase-phase (phase synchronization or locking), phase-amplitude, and phase-amplitude-amplitude couplings are generalized by means of the weighted multiple regression model. The choice of appropriate weights produces estimators that bypass the need for computing the complex-valued phase. In addition, a new coupling, denoted as the inhibitory coupling (InhCo), is introduced and defined as the dependence of one complex-valued variable on the inverse and on the conjugate inverse of another complex-valued variable. A weighted version denoted as wInhCo is also introduced, bypassing the need for computing the inverse of a complex variable, which has very poor statistical properties. The importance of this form of inhibitory coupling is that it may capture well-known processes, such as the observed inverse alpha/gamma relation within the same cortical region, or the inverse alpha/alpha relation between distant cortical regions. /////////////// From ac1753 at coventry.ac.uk Tue Dec 19 10:17:05 2017 From: ac1753 at coventry.ac.uk (Ariel Ruiz-Garcia) Date: Tue, 19 Dec 2017 15:17:05 +0000 Subject: Connectionists: CFP: special session on Intelligent Physiological and Affect Aware System at WCCI (Rio de Janeiro, 8-13 July 2018) In-Reply-To: References: Message-ID: [Apologies if you receive multiple copies of this CFP] Call for Papers: Hybrid Special Session on Intelligent Physiological and Affect Aware Systems (IPAAS) https://www.wcci-ipaas.com/ IEEE World Congress on Computational Intelligence (WCCI 2018) 8-13 July 2018, Rio de Janeiro, Brazil - http://www.ecomp.poli.br/~wcci2018/ Aim and Scope: Affective Computing (AC) is ?computing that relates to, arises from, or deliberately influences emotions,? as initially coined by Professor R. Picard (Media Lab, MIT). It has been gaining popularity rapidly in the last decade because it has great potential in the next generation of automated human-computer interfaces and applications using behavior analytics. One goal of affective computing is to design a computer system that responds in a rational and strategic fashion to real-time changes in user affect (e.g., happiness, sadness, etc), cognition (e.g., frustration, boredom, etc.) and motivation, as represented by speech, facial expressions, gestures, physiological signals, neurocognitive performance, etc. Physiological Computing (PC) relates to computation that incorporates physiological signals in order to produce useful outputs (e.g., in computer-human interaction). It mainly differs from AC in the sense that its foremost focus is not the modeling of affect but rather the utilization of physiological information generally. Practical applications of AC and PC based systems seek to achieve a positive impact on our everyday lives by monitoring, recognising and acting on our emotional states and physiological signals. Integrating these sensing modalities into scalable human data analytics and pervasive computing systems will reveal a far richer picture of how our fleeting emotional responses, changing moods, feelings and sensations, such as pain, touch, tastes and smells, are a reaction to or influence how we implicitly or explicitly interact with the environment and increasingly the connected computing artifacts within. The increasing use of unobtrusive wearable sensors, self-monitoring devices and developments in micro- and nanofabrication of implantable devices can be used to track a variety of physiological indicators (e.g. blood pressure, blood gas, pulse, insulin level, EKG, EEG), the interpretation of affective states and behavior contextualization in combination of wider pervasive sensing. The integration and use of AC and PC raise many new challenges for signal processing, machine learning and Computational Intelligence (CI). Fuzzy Logic Systems in particular provide a highly promising avenue for addressing some of the fundamental research challenges in AC/PC where most data sources such as: body signals (e.g., heart rate, brain waves, skin conductance and respiration) facial features, speech and human kinematics are very noisy/uncertain and subject-dependent. Similarly, the recent success of deep neural network models on classification problems make them a viable path for the development of human-computer interfaces. Clearly however, other key areas of CI research, such as evolutionary learning algorithms and emerging biologically inspired models provide essential tools for behavior discovery and optimization of complex real-word systems and processes using affective and physiological data. The Intelligent Physiological and Affect Aware (IPAAS https://www.wcci-ipaas.com/) special session aims to bring together researchers from the three areas of CI to discuss how CI techniques can be used individually or in combination to help solve challenging AC/PC problems, and conversely, how physiological and affect (emotion) and its modeling can inspire new approaches in CI and its applications. Topics of interest for this special session include but are not limited to: ? Models of emotion and physiological information ? Classifiers for physiological information ? Applications based on/around physiological information ? Affect acquisition and processing mobile and unconstraint environments ? CI based architectures for processing emotions and other affective states ? Automatic and real-time emotion recognition & synthesis from physiological signals, facial expressions, body language, speech, or neurocognitive performance ? Emotion mining from texts, images, or videos ? Affective interaction with virtual agents and robots ? Socio-emotional and behaviour economics ? Psychosocial and Psychoanalytics ? Affect aware organisational and operational modelling ? Social sensing and context aware environments ? Sentimental analysis from multi-modal data (audio, video, text, ambient sensing, EEG) ? Emotional internet of things ? Social and emphatically aware robotics ? Applications of affective computing in interactive learning, affective gaming, personalized robotics, virtual reality, social networking, pervasive environments, healthcare and behavioral informatics, etc. Accepted and presented papers will be published under IJCNN 2018 proceedings. However, as a cross-disciplinary and CI applications oriented special session, cross-disciplinary work involving Fuzzy and Evolutionary learning is strongly encouraged. For paper guidelines please visit www.ecomp.poli.br/~wcci2018/submissions/#guidelines and for submissions please visit http://ieee-cis.org/conferences/ijcnn2018/upload.php and select "CDSS-09. Special Session on Intelligent Physiological and Affect Aware (IPAAS)" as the main research topic. Important Dates 15th January 2018 ? Paper Submission 15th March 2018 ? Paper Acceptance 1st May 2018 ? Final Paper Submission 1st May 2018 ? Early Registration 8-13 July 2018 ? IEEE WCCI 2018, Rio de Janeiro, Brazil Organisers Dr Faiyaz Doctor School of Computer Science and Electronic Engineering University of Essex Email: fdocto AT essex.ac.uk Dr Dongrui Wu School of Automation Huazhong University of Science and Technology, Wuhan, China Email: drwu AT hust.edu.cn Dr Marie-Jeanne Lesot Universit? Pierre et Marie Curie Laboratoire d'Informatique de Paris 6, LIP6 Email: Marie-Jeanne.Lesot AT lip6.fr Ariel Ruiz-Garcia School of Computing, Electronics and Mathematics Faculty of Engineering, Environment and Computing Coventry University Email: ariel.ruiz-garcia AT coventry.ac.uk Gold rating for teaching excellence Teaching Excellence Framework (TEF) Ranked No.12 UK university The Guardian University Guide 2018 UK?s highest ranking new university The Guardian and the Complete University Guides 2018 Top 6 for Student Experience The Times and The Sunday Times Good University Guide 2018 NOTICE This message and any files transmitted with it is intended for the addressee only and may contain information that is confidential or privileged. Unauthorised use is strictly prohibited. If you are not the addressee, you should not read, copy, disclose or otherwise use this message, except for the purpose of delivery to the addressee. Any views or opinions expressed within this e-mail are those of the author and do not necessarily represent those of Coventry University. -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.wong-lin at ulster.ac.uk Tue Dec 19 11:30:10 2017 From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt) Date: Tue, 19 Dec 2017 16:30:10 +0000 Subject: Connectionists: Post-doctoral research associate post in Computational Neuroscience, and PhD studentship in Computational Neuroimaging available Message-ID: 1. A BBSRC funded post-doctoral research associate post in Computational Neuroscience is available at Ulster University, UK. The research project, in collaboration with The University of Oxford, is focused on analyzing and modelling serotonin and related brain systems. For more info, please see: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTcwMzk4MyZ2dF90ZW1wbGF0ZT0xMTI2Jm93bmVyPTUwNDM3ODEmb3duZXJ0eXBlPWZhaXImYnJhbmRfaWQ9MCZwb3N0aW5nX2NvZGU9MzQ3 2. A fully funded Ph.D. studentship in Computational Neuroimaging of Dementia is available at Ulster University, UK. The research project involves close collaboration with academics, clinicians and industrial partners. For more info, please see: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/238180 Please contact me for more information if interested in the post/studentship. Best KongFatt Wong-Lin -------------------------------- E-mail: k.wong-lin at ulster.ac.uk https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster at ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA -------------- next part -------------- An HTML attachment was scrubbed... URL: From Z.Yang at mdx.ac.uk Tue Dec 19 12:29:45 2017 From: Z.Yang at mdx.ac.uk (Zhijun Yang) Date: Tue, 19 Dec 2017 17:29:45 +0000 Subject: Connectionists: CFP: IJCNN 2018 Special Session "Neural Techniques for Artificial and Natural Locomotions" Message-ID: Dear Community members, Wish you and your family have a very happy holiday season. Apologies if you receive multiple copies of this CFP. Call for papers: Special Session IJCNN-24 Neural Techniques for Artificial and Natural Locomotions in 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/ Neural Techniques for Artificial and Natural Locomotions Organized by Zhijun Yang (Z.Yang at mdx.ac.uk), Vaibhav Gandhi, Mehmet Karamanoglu, and Felipe Fran?a There are evidences showing that walking with adaptive gait patterns may be an acquired characteristic possessed by legged animals and humans. A baby animal or infant usually experiences an inept process to learn walking before becoming fully adaptive to a complex terrain. This learning process starts with reflexes reflecting involuntary responses to stimuli. It may involve a complex sequence of activities for sensorimotor integration, synchronization and coordination of cortical neurons and muscles. After the relevant cortical regions are well acquainted with the external world, the animals are considered as trained and represent the most capable walking machine in nature. Many theoretical and experimental approaches have been proposed intending to decipher the mechanisms underlying the natural locomotion while presenting its artificial intelligence (AI) counterpart. For instance, the finite state machine (FSM), in both deterministic and probabilistic variants, are traditionally used to model the gait pattern generation and transition. Recent years have seen the interest in this area of research growing rapidly thanks to the emergence of new computing methodologies using spiking neurons and neuronal populations, with the neuron complexity rangin from the simplest integrate-and- firing type to the classic Hodgkin-Huxley type. A special Izhikevich neuron can display an abundant spectrum of real neuron activities. These methods show great potential in modelling the natural locomotion models in this relatively new research field. On the other hand, the modern technology provides us means of implementing the theoretic models by using high performance computing (HPC) techniques such as dedicated neuromorphic circuits, GPUs, FPGAs as well as deep learning tools. Scope and Topics This special session brings together the new research works from academics and industry related researchers in this prevalent area. The workshop aims to promote the applications of multidisciplinary methods in investigating and exploiting the neural mechanisms of natural locomotion. We invite papers on both theory and applications of the broad area of neural control for natural locomotion. The artificial locomotion systems, built upon the mechanisms underlying the natural locomotion systems, are particularly welcome. The topics of interest include, but are not limited to, the following. * Neuroscience studies of natural locomotion and control * Novel mathematic models for gait pattern generation and transition * Central pattern generation models and applications * Somatosensory system, sensorimotor interaction and impacts on locomotion * Machine learning and deep learning methods applicable for motion control * Neuromorphic hardware implementation, parallel computing platforms using state-of- the-art hardware such as GPU or FPGA for neural control of locomotion * Software frameworks, such as robot operating system (ROS), applicable for robot control * Bayesian inference and hidden Markov models for decision making on robot motion * Novel finite state machine methods, implementation and applications in robotics * State-of- the-art robot projects using leading edge hardware and/or software IMPORTANT DATES: * Paper submission: 15th January 2018 * Paper acceptance: 15th March 2018 * IEEE WCCI 2018 conference: 8-13 July 2018 Kind regards, Zhijun -- Zhijun Yang, BEng, MSc, PhD, PGCertHE, FHEA Senior Lecturer in Design Engineering Department of Design Engineering and Mathematics Faculty of Science and Technology Middlesex University, London NW4 4BT, UK Voice: +44 (0)7882681333 -------------- next part -------------- An HTML attachment was scrubbed... URL: From b.graham at cs.stir.ac.uk Tue Dec 19 12:40:26 2017 From: b.graham at cs.stir.ac.uk (Bruce Graham) Date: Tue, 19 Dec 2017 17:40:26 -0000 Subject: Connectionists: Assoc Prof and lectureships in Data Science and Predictive Modelling Message-ID: <22c37bd3986efa76e29058695003fd81.squirrel@mail.cs.stir.ac.uk> Dear all, We have 3 new posts at the University of Stirling in Scotland (in addition to 3 posts in Cyber-security, advertised recently and still open for applications). The new posts are an Associate Professor and 2 lecturers in Data Science and Predictive Modelling and are part of an exciting new University of Stirling initiative to strengthen our Computing Science and Mathematics capabilities and collaborations between our Data Science and Biological Modelling research groups and strengthen our related research and teaching. Mathematicians, as well as computer scientists or related disciplines, are particularly encouraged to apply. Machine learning, neural networks and other topics of interest to this mailing list fall within the remit of these posts. For complete details and how to apply, please see: https://www.stir.ac.uk/about/jobs/ Closing date is 21st January 2018. For informal enquiries, please email me directly. Best regards, Bruce Graham -- Prof. Bruce Graham (b.graham at cs.stir.ac.uk) Professor of Computing Science and Research Director Computing Science and Mathematics Faculty of Natural Sciences University of Stirling Stirling FK9 4LA phone: +44 1786 467 432 fax: +44 1786 464 551 Coauthor of "Principles of Computational Modelling in Neuroscience", CUP 2011. Editorial Board of Journal of Biological Dynamics. From john.murray at yale.edu Wed Dec 20 04:55:55 2017 From: john.murray at yale.edu (Murray, John) Date: Wed, 20 Dec 2017 09:55:55 +0000 Subject: Connectionists: Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University Message-ID: <0234C63E-DB64-4434-BB8A-A30219675007@yale.edu> Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University The Swartz Center in Theoretical Neurobiology at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with start date mid or late 2018. Competitive candidates include those with a strong quantitative background who wish to gain neuroscience research experience. We especially encourage candidates with an interest in collaborating directly with experimental neuroscientists. The candidates will be expected to perform theoretical/computational studies relevant to one or more laboratories of the Yale Swartz Center (https://medicine.yale.edu/neuroscience/swartz/corelabs.aspx) and will be encouraged to participate in an expanding quantitative biology environment. Candidates must hold a Ph.D. or equivalent degree. Please send a Curriculum Vitae, selected reprints, names of those whom we can contact for a reference, and a statement of research plans including the laboratories of interest. All application materials should be sent electronically to the following e-mail address: john.murray at yale.edu . Applications will be reviewed as they are received, but priority will be given to those received on or before January 20th 2018. For any questions, please contact John Murray . Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. http://neurojobs.sfn.org/jobs/10584092/ John D. Murray ----------------------------------------------- Assistant Professor Department of Psychiatry Yale University School of Medicine murraylab.yale.edu ----------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentini at di.unimi.it Wed Dec 20 14:31:44 2017 From: valentini at di.unimi.it (Giorgio Valentini) Date: Wed, 20 Dec 2017 20:31:44 +0100 Subject: Connectionists: Open position as postdoc/Research assistant in sensor data acquisition Message-ID: <8b8494f2-bbfd-9d9c-141c-8cf6b600151c@di.unimi.it> Open position as postdoc/Research assistant in sensor data acquisition supporting a project on Smart Cities at the University of Milano At the Department of Computer Science of the University of Milano (Italy) one postdoc/research assistant position is available for the development of distributed solutions based on micro-services and fog computing for the acquisition, management and analysis of sensor data produced by heterogeneous platforms. The postdoc/research assistant will work in solutions for easily specifying data acquisition plans for the integration and analysis of data produced by sensors that are distributed in different areas of a city. The work requires knowledge in HTML 5, CSS 3, javascript and node.js. Moreover, the knowledge of the Spark Streaming language is a plus. The research is carried out in collaboration with the DISIT Lab of the Department of Informatics of the University of Florence as part of the Pre-Commercial-Procurement of the EU SELECT4CITIES project for designing and developing a platform for next generation smart cities. We are looking for highly-motivated candidates, willing to make an impact with their research, and we are offering a dynamic environment where he/she can grow. The position is initially for 1 year, but with good performances it can be extended for another year. The grant depends on the qualification of the candidate (minimum euro 30.000). Applicants are expected to have excellent academic qualifications within IT. The phD is not strictly required. Also candidates with a master in Computer Science can apply for the position. For further information about the position and for details on the application procedure please contact Dr. Marco Mesiti (mesiti at di.unimi.it) Giorgio Valentini -- ==================================================== Giorgio Valentini Dip. Informatica - Universita' degli Studi di Milano Phone: +39 (02) 503.16225 e-mail: valentini at di.unimi.it http://homes.di.unimi.it/valentini Anacleto Lab - Comp. Biology and Bioinformatics http://anacletolab.di.unimi.it ==================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From kyunghyun.cho at nyu.edu Wed Dec 20 23:12:08 2017 From: kyunghyun.cho at nyu.edu (Kyunghyun Cho) Date: Wed, 20 Dec 2017 23:12:08 -0500 Subject: Connectionists: Assistant Professor in Music/Sound and Data Science at NYU, Tenure Track Message-ID: (Apologies for cross posting, please redistribute) *Assistant Professor in Music/Sound and Data Science at NYU, Tenure Track* NYU?s Center for Data Science (CDS ) and the Music and Audio Research Lab (MARL ) are looking for scholars and innovators at the intersection of music, sound, and data science. We are seeking applicants willing to help us push disciplinary boundaries and redefine the future of their fields through their research, teaching and outreach, and by contributing to methods and foundational knowledge in data science. Applicants with research focus on novel data-driven applications in music retrieval, distribution, and behavior are encouraged to apply. Applicants with research focus on machine learning and high-dimensional statistics to music and audio research are also encouraged to apply. This position is part of a significant expansion of both CDS and MARL, including multiple tenure-track hires and new state of the art facilities in the heart of Manhattan and Brooklyn. A doctoral degree in an applicable field is required. NYU values equity, diversity, and inclusion and especially encourages candidates from historically underrepresented groups to apply. Click Here to Apply For This Opening -------------- next part -------------- An HTML attachment was scrubbed... URL: From veronica.bolon at udc.es Thu Dec 21 03:33:54 2017 From: veronica.bolon at udc.es (=?utf-8?Q?Ver=C3=B3nica_Bol=C3=B3n?=) Date: Thu, 21 Dec 2017 09:33:54 +0100 Subject: Connectionists: 2nd CFP for IJCNN18 Special Session on Parallelism on Machine Learning: Theory and Applications Message-ID: <8BF85B2A-C7BC-4BE3-A4C7-D03F80EB9925@udc.es> [Apologies if you receive multiple copies of this CFP] 2nd Call for papers: special session on ?Parallelism in Machine Learning: Theory and Applications? 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/ Parallelism in Machine Learning: Theory and Applications Organized by: Veronica Bolon-Canedo, Jorge Gonzalez-Dominguez, Amparo Alonso-Betanzos (University of A Coru?a, Spain), Beatriz Remeseiro (University of Oviedo, Spain) Machine learning (ML) is a prolific research area focused on the study and definition of algorithms able to learn from and make predictions on data. The current technologies and the use of Internet have revolutionized the way in which people acquire, store, or share data, resulting in huge amounts of information. In order to deal with massive volumes of data, ML techniques have to learn complex models with millions of parameters, increasing the computational cost involved. Parallel programming and distributed learning are gaining attention in the last years as a mean to alleviate the effects of this extremely increase of computational cost. The efficient exploitation of High Performance Computing (HPC) resources such as multicore CPUs, hardware accelerators (GPUs, Intel Xeon Phi coprocessors, FPGAs, etc.), clusters or cloud-based systems can significantly accelerate many ML algorithms. This increase of speed allows ML users to either reduce the time needed for their applications or to search a larger space in the same period of time. We invite papers on both practical and theoretical issues about incorporating parallel and distributed approaches into machine learning problems. In particular, topics of interest include, but are not limited to: Development of parallel machine learning algorithms on multicore and manycore architectures: multithreading, GPUs, Intel Xeon Phi coprocessor, FPGAs, etc. Development of distributed machine learning algorithms. Exploitation of cloud, grid and distributed-memory systems to accelerate machine learning algorithms: Spark, Hadoop, MPI, etc. Scalability analysis of parallel and distributed methods for machine learning. Performance comparison of parallel and distributed machine learning algorithms. Deep learning models trained across multicore CPUs, GPUs or clusters of computers. Applications: bioinformatics, medicine, multimedia, marketing, cyber security, etc. Submitted papers will be reviewed according to the IJCNN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style. IMPORTANT DATES: Paper submission: 15th January 2018 Paper acceptance: 15th March 2018 Final paper submission: 1st May 2018 Early registration: 1st May 2018 IEEE WCCI 2018 conference: 8-13 July 2018 Ver?nica Bol?n Canedo, PhD Grupo LIDIA Departamento de Computaci?n Facultad de Inform?tica Universidade da Coru?a Campus de Elvi?a, s/n 15071 - A Coru?a, Spain Phone: +34 981 167150 Ext. 6007 Fax: +34 981 167160 e-mail: veronica.bolon at udc.es http://www.lidiagroup.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From julien.perez at naverlabs.com Thu Dec 21 03:59:15 2017 From: julien.perez at naverlabs.com (Julien Perez) Date: Thu, 21 Dec 2017 09:59:15 +0100 Subject: Connectionists: =?utf-8?q?=5BPostdoc=5D=5BPermanent_Position=5D_D?= =?utf-8?q?eep_Learning_and_Reinforcement_Learning_=28multiple_posi?= =?utf-8?b?dGlvbnMpIOKAiw==?= Message-ID: <000901d37a39$fcde54b0$f69afe10$@naverlabs.com> Dear Connectionists, The mission of NAVER LABS Europe is to advance the state-of-the-art in Ambient Intelligence including autonomous vehicles, robotics, AI, 3D mapping and AR while paving the way for these innovations into NAVER products and services. To implement our current expansion in Europe, we are looking for applications from research scientists who want to contribute to the invention, development and benchmarking of Deep Learning and Reinforcement Learning technologies in diverse areas of sequential decision making such as autonomous navigation, robotic control, Active SLAM, recommendation systems, web search and Human-Computer Interaction. At NAVER LABS, we encourage active participation in the academic community and our researchers regularly collaborate with world-class public research groups. We regularly publish in venues such as NIPS, ICML, ICLR, ECML and IJCAI. We also release datasets for public use and co-organise challenges such as DSTC-6. Requirements: ? Ph.D. in Statistical Machine Learning with a strong experience in Deep Learning and/or Reinforcement learning. ? Excellent publication track record in major machine learning conferences and journals. ? Strong development skills, preferably in python and C/C++. ? Highly motivated. Application instructions To submit an application, please send your CV, cover letter as well as the name of at least one reference to julien.perez at naverlabs.com and dl_candidates at naverlabs.com. NAVER LABS is an ambient intelligence company owned by NAVER Corporation, Korea?s leading internet company. NAVER operates the nation?s top search portal ?NAVER,? and other innovative services in the global market including mobile messenger LINE, video messenger SNOW and community app BAND. It has annual revenue of more than 3 billion euros. NAVER LABS is a world class team of self-motivated and highly engaged researchers, engineers and interface designers collaborating together to create next generation ambient intelligence technology and services that are rich with the organic understanding they have of users, their contexts and situations. Since 2013 the LABS have led NAVER?s innovation in technology through products such as the AI-based translation app ?Papago?, the omni-tasking web browser ?Whale?, the virtual AI assistant ?WAVE?, AMBIDEX, the biologically-inspired robotic arm, in-vehicle information entertainment system ?AWAY? and AROUND, the 3D indoor mapping robot. We look for people who like to take on new challenges, who collaborate beyond team boundaries and who believe in user value. We?re working toward creating a better world where people can focus on what?s important in life rather than having to spend time constantly learning new tools. -- Julien Perez, PhD Lead ? Machine Learning and Optimization group Naver Labs Europe -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.rankin at gmail.com Thu Dec 21 06:40:12 2017 From: james.rankin at gmail.com (James Rankin) Date: Thu, 21 Dec 2017 11:40:12 +0000 Subject: Connectionists: EPSRC funded PhD in Computational/Mathematical Neuroscience (funded for UK students) Message-ID: *3 EPSRC funded PhD positions in Computational & Mathematical Neuroscience* UK students (or students who have spent last 3 years in UK) fully funded (fees and stipend) EU students partially funded (fees but no stipend) International students not eligible *Application deadline: 10th January 2018* Starting: September 2018 The studentships will provide funding for a stipend which is currently ?14,553 per annum for 2017-2018. It will provide research costs and UK/EU tuition fees at Research Council UK rates for 42 months (3.5 years) for full-time students, pro rata for part-time students. * Cortical network models to understand differential input response properties during active and silent states* Supervisors: Dr James Rankin and Dr Mick Craig (Medical School, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2903 * Determination of parameter dependencies across diverse populations of neuronal and excitable cells* Supervisors: Dr James Rankin and Dr Joel Tabak (Medical School, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2932 *The neural circuitry mediating multisensory integration in Platynereis larvae* Supervisors: Dr James Rankin and Prof G?sp?r J?kely (Living Systems Institute, Exeter) http://www.exeter.ac.uk/studying/funding/award/?id=2901 Apply through links above or contact pgrenquiries at exeter.ac.uk or j.a.rankin at exeter.ac.uk directly with any questions. -- http://emps.exeter.ac.uk/mathematics/staff/jar226 -------------- next part -------------- An HTML attachment was scrubbed... URL: From amcosconference at upf.edu Thu Dec 21 05:58:57 2017 From: amcosconference at upf.edu (AMCOS Conference) Date: Thu, 21 Dec 2017 11:58:57 +0100 Subject: Connectionists: Complex Oscillatory Systems conference AMCOS, Barcelona March 2018 - Extended abstract submission deadline! Message-ID: *EXTENDED ABSTRACT SUBMISSION DEADLINE: 12/01/18* *AMCOS ? ANALYSIS AND MODELING OF COMPLEX OSCILLATORY SYSTEMS* March 19-23, 2018 Barcelona, Spain The *AMCOS conference* aims at bringing together renowned experts and young researchers who work on the modeling of complex systems and the emergence of collective phenomena, as well as on the analysis of complex data sets in order to infer structure and functionality of networks. Accompanying TUTORIALS by leading experts will interactively introduce the different conference themes. Do you want to present your work? *A**bstract submission deadline is the 12th of January**.* More info at amcosconference.com. *DATE AND VENUE* March 19, 2018 March 20 - 23, 2018 PRBB , Biomedical Research Park of Barcelona *KEYNOTE SPEAKERS* - Leon Glass, - Damian H. Zanette. *LIST OF SPEAKERS (*TBC)* - Peter Ashwin, - Ginestra Bianconi*, - Raffaella Burioni, - Dante R. Chialvo, - Gustavo Deco, - Albert D?az-Guilera, - Jordi Garcia-Ojalvo, - Wulfram Gerstner*, - Sonja Gr?n, - Cristina Masoller, - Yamir Moreno, - Florian Mormann, - Hiroya Nakao, - Diego Paz? , - Juan G. Restrepo , - Alex Roxin, - Tilo Schwalger. *TOPICS COVERED* synchronization and nonlinear dynamics - dynamics on networks - connectivity and network inference - data analysis in neuroscience - critical phenomena - neural field models - computational neuroscience - complex oscillatory behaviour in physiology *TUTORIALS* Leading experts in the field will introduce the different conference themes interactively in tutorials on the first day of the conference week. The speakers are: - Ralph G. Andrzejak, - Arkady Pikovsky, - Michael Rosenblum, - Aneta Stefanovska. A (tentative) list of topics comprises basic theory of synchronization, synchronization approach to data analysis, basic concepts of nonlinear time series analysis, and time series analysis of non-autonomous dynamics. The participants are required to bring laptops installed with MATLAB/Octave if they want to take part in the practical activities. ORGANIZERS The doctoral students (Early Stage Researchers ) of the H2020 Marie Curie project COSMOS . For further information see amcosconference.com or contact us via e-mail . Please forward to anyone interested. Follow us on social media. Twitter: @amcosconference Facebook: amcosconference -------------- next part -------------- An HTML attachment was scrubbed... URL: From nnavarin at math.unipd.it Thu Dec 21 11:06:17 2017 From: nnavarin at math.unipd.it (=?utf-8?Q?Dr=2E_Nicol=C3=B2_Navarin?=) Date: Thu, 21 Dec 2017 17:06:17 +0100 Subject: Connectionists: 2nd Call for papers: special session on Empowering Deep Learning Models at WCCI-IJCNN (Rio de Janeiro, 8-13 July 2018). Message-ID: Second Call for Papers Empowering Deep Learning Models Special Session for the 2018 IEEE World Congress on Computational Intelligence (WCCI) 2018, the International Joint Conference on Neural Networks (IJCNN) 2018 http://www.ecomp.poli.br/~wcci2018/ijcnn-sessions/#ijcnn8 Paper submission deadline: 15 January 2018 IEEE WCCI conference: 8-13 July 2018, Rio de Janeiro, Brazil Description In recent years, Deep Learning has become the go-to solution for a broad range of applications, often outperforming state-of-the-art. Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, computer vision, drug discovery, genomics and many others. Scope and Topics The goal of this special session is to provide a forum for focused discussions on new extensions of deep learning models and techniques, and to gain a deeper understanding of the difficulties and limitations associated with state-of-the-art approaches and algorithms. Practitioners should provide practical insights to the theoreticians, which in turn, should supply theoretical insights and guarantees, further strengthening and sharpening practical intuitions and wisdom. Examples of these possible extensions are: -Multimodal and Multitask Deep Learning -Deep Transfer Learning -Deep Recurrent and Recursive Neural Networks -Deep Learning on Structured Data -Interpretability of Deep Learning -Private and Federated Deep Learning -Generative and Adversarial Deep Learning -Randomized Deep Learning (Deep ELM, Deep ESN, Deep Reservoir Computing) The focus of this special session is to attract both solid contributions or preliminary results which show the potentiality and the limitations of new ideas, refinements, or contaminations between the different fields of deep learning and other fields of research in solving real world problems. Both theoretical and practical results (e.g. Social Data Analysis, Speech, Natural Language Processing, Cybersecurity) are welcome to our special session. This special session is supported by the IEEE Task Force on Deep Learning. Important dates Paper Submission Deadline: 15 January 2018 Paper Acceptance Notification Date: 15 March 2018 Final Paper Submission and Early Registration Deadline: 1st May 2018 IEEE WCCI 2018: 08-13 July 2018 Special Session Organizers Nicol? Navarin (University of Padova, Italy), Luca Oneto (University of Genoa, Italy), Luca Pasa (Istituto Italiano di Tecnologia), Alessandro Sperduti (University of Padova, Italy). ? Nicol? Navarin, PhD Research fellow University of Padova - Department of Mathematics via Trieste 63, 35121 Padova - Italy Tel. +39 049 8271476 E-mail: ?nnavarin at math.unipd.it Web: http://www.math.unipd.it/~nnavarin -------------- next part -------------- An HTML attachment was scrubbed... URL: From dominik.endres at uni-marburg.de Thu Dec 21 09:41:20 2017 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Thu, 21 Dec 2017 15:41:20 +0100 Subject: Connectionists: PhD position in computational sensorimotor control and (deep) learning Message-ID: <2433708.RYjN7bHnYT@pc04174> === PhD position in computational sensorimotor control and (deep) learning === The group for theoretical neuroscience, Prof. Dr. Endres, at the Department of Psychology at the University of Marburg, is currently accepting applications for a Research Assistant (PhD student). The position is a part of the project C6 (sensorimotor primitives) of the DFG- funded Collaborative Research Center CRC/TRR 135 ?Cardinal Mechanisms of Perception?. More Information on the CRC can be found at http://www.allpsych.uni-giessen.de/sfb/index_en.html. Duties include the independent the development, implementation and execution of *virtual reality experiments* for the validation of *(deep) learning* and *Bayesian models* of human behavior and perception, the development, implementation and analysis of these models, contributions to scientific publications and regular and active participation in the CRC?s scientific program. The position is offered for a period of 36 month, assuming the candidate has not previously spent time as a PhD student elsewhere. The starting date is as soon as possible. The position is part-time (65 % of regular working hours) with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13, 65 %). The position is limited to a time period deemed adequate for the completion of a doctoral degree. As part of the assigned duties, there will be ample opportunity to conduct the independent scientific research necessary for the completion of a doctorate. The limitation complies with ? 2, 1 WissZeitVG. Formal requirements are a qualified degree in psychology, cognitive science, computer science, engineering or physics (Master, Diploma, or comparable) as well as demonstrable programming experience in a high-level language, e.g. Python or Matlab. We expect you to be interested in the topic of the project (to be documented in a motivation letter (1 page max), in which you may refer to prior experiences, for instance, a thematically pertinent thesis, student research assistant positions, etc.), developing virtual-reality scenarios and technology for research purposes as well as quantitative modelling. Advantageous qualifications are prior exposure to machine learning, Bayesian statistics, experience with human behavioral experiments as well as willingness to acquire basic German language skills. Feel free to contact Prof. Dr. Dominik Endres at dominik.endres at uni-marburg.de for more information. Please send your application (including a project-specific motivation letter in English, copies of relevant diplomas, curriculum vitae and contact details of two potential referees) mentioning reference no. fb04-0001-wmz-2018 only as a *single* PDF file to dominik.endres at uni-marburg.de before January 19th 2018. The full text of the advert in German and English can be found here: https://www.uni-marburg.de/administration/verwaltung/dez2/personalabteilung/ bewerber/stellen/oeffentlich/oeffwisstellen -- Prof. Dr. Dominik Endres AE Theoretische Neurowissenschaft Allgemeine und Biologische Psychologie FB Psychologie, Gutenbergstr 18, 35032 Marburg, Germany Tel. +49-(0)6421-28-23818 From suleymaner at gmail.com Thu Dec 21 09:50:22 2017 From: suleymaner at gmail.com (=?utf-8?Q?S=C3=BCleyman_Er?=) Date: Thu, 21 Dec 2017 15:50:22 +0100 Subject: Connectionists: PHD POSITION: DATA-DRIVEN DESIGN OF NEW ENERGY STORAGE MATERIALS Message-ID: <27354CA1-23E1-4062-8898-271BB548E1CC@gmail.com> A fully funded 4-year PhD researcher position is available immediately at the research group of Dr. S?leyman Er (www.suleymaner.com ), Center for Computational Energy Research, Dutch Institute for Fundamental Energy Research, Eindhoven, the Netherlands. The broad task of the project is to use machine-learning methods to predict the properties of new energy storage materials. We will consider applicants with a Master?s degree in Science or Engineering and good programming skills (Python, Shell scripting). Experience with machine learning frameworks (Keras, Tensor Flow) and electronic structure calculations is preferred. For further details and to apply please see: https://www.differ.nl/node/3917 -------------- next part -------------- An HTML attachment was scrubbed... URL: From csutton at inf.ed.ac.uk Thu Dec 21 10:25:40 2017 From: csutton at inf.ed.ac.uk (Charles Sutton) Date: Thu, 21 Dec 2017 15:25:40 +0000 Subject: Connectionists: Tenured faculty positions in Machine Learning and AI at the University of Edinburgh Message-ID: =============================================================== Tenured faculty positions in Machine Learning and AI at the University of Edinburgh Closing date: 31 January 2018 URL: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=042264 =============================================================== We are hiring faculty in machine learning and artificial intelligence to join the School of Informatics, at the University of Edinburgh, as part of a multiyear expansion in these areas. We seek candidates with research interests and experience in the theory and application of machine learning and artificial intelligence, with substantial publication records and strong research potential. Positions are available at the rank of lecturer, or for an exceptional candidate, to the more senior ranks of senior lecturer or reader. A lectureship is a full-time academic position roughly equivalent to an tenured assistant professorship in other countries; senior lecturer and reader are roughly equivalent to tenured associate professor. Candidates from all areas of machine learning and artificial intelligence will be considered. The School of Informatics is one of the largest research concentrations of computer science and artificial intelligence in Europe, with 117 faculty, 120 postdoctoral researchers, and 370 PhD students. In machine learning, the University of Edinburgh has one of the largest research groups in Europe, with faculty including Chris Williams, Chris Bishop, Michael Gutmann, Iain Murray, Guido Sanguinetti, Amos Storkey, and Charles Sutton. We also benefit from close links to other active areas of artificial intelligence in the School, including natural language processing, speech processing, robotics, and computer vision. The School of Informatics is host to the EPSRC Centres for Doctoral Training in Data Science, in Robotics and Autonomous Systems, and in Pervasive Parallelism. The adjacent Thomas Bayes Centre for Data Technology will be the home for data-driven applied and translational research at Edinburgh. As further recognition of our strength in these areas, the University was selected to be one of only five founding partner universities in The Alan Turing Institute, the UK's national research institute for data science. The appointee will enjoy opportunities to supervise PhD students from these Centres and from other sources. Informal enquiries may be addressed to Dr Jacques Fleuriot (jdf at inf.ed.ac.uk) or Dr Nigel Goddard (nigel.goddard at ed.ac.uk). -- Charles Sutton * Reader in Machine Learning * University of Edinburgh Faculty Fellow, Alan Turing Institute * http://turing.ac.uk/ Please excuse brevity: http://theoatmeal.com/comics/email_monster The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From veronica.bolon at udc.es Fri Dec 22 03:32:19 2017 From: veronica.bolon at udc.es (=?utf-8?Q?Ver=C3=B3nica_Bol=C3=B3n?=) Date: Fri, 22 Dec 2017 09:32:19 +0100 Subject: Connectionists: 2nd CFP for ICIAR 2018 Special Session on "Big Visual Data: Challenges and Applications" Message-ID: <04BFC7C0-EE0F-49E0-917B-CC2672D07808@udc.es> [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Big Visual Data: Challenges and Applications" at ICIAR 2018 15th International Conference on Image Analysis and Recognition (ICIAR 2018) June 27-29, 2018 - P?voa de Varzim (Portugal) - https://www.aimiconf.org/iciar18/ Big Visual Data: Challenges and Applications Organized by: Beatriz Remeseiro (University of Oviedo, Spain), Veronica Bolon-Canedo (University of A Coru?a, Spain), Martin Kampel (Vienna University of Technology, Austria) Visual data is massively stored and processed by different agents in the industrial world, whilst people have changed the way in which they acquire and transmit both images and videos as part of their daily routines. This unprecedented amount of visual data has created new research opportunities and technological challenges. In this context, the combination of computer vision and big data has become an active area of research finding success in many different domains. This special session is focused on large scale computer vision algorithms and large scale machine learning techniques that address the problems derived from the increasing visual data availability. Additionally, it pursues to offer a meeting opportunity for academics and researchers to present their cutting-edge approaches to deal with large scale vision problems and identify unique challenges that need to be faced. We invite authors to contribute with their recent advances derived from the availability of huge amounts of visual data, as well as review papers with the state-of-art techniques and the open challenges encountered in this field. In particular, topics of interest include, but are not limited to: Novel algorithms able to understand big visual data and exploit noisy annotations. Scalable algorithms and efficient methods that can handle big visual data. Visual models and feature representations of images and videos. Deep learning algorithms applied to solve image analysis and recognition problems. Benchmarks, datasets or data repositories with large volumes of visual data. Applications and services: multimedia technologies, medical informatics, video surveillance, marking, etc. SUBMISSION PROCEDURE: Authors are invited to submit full papers showing original research contributions. The conference proceedings will be published in the Springer Lecture Notes in Computer Science series (Springer LNCS). Prospective authors should submit an electronic copy of their complete manuscript through the ICIAR 2018 submission system by January 22, 2018, selecting the special session topic in their submission. All submitted papers will be reviewed by at least two independent reviewers. For more information please go to https://www.aimiconf.org/iciar18 . IMPORTANT DATES: Paper submission deadline: January 22, 2018 Author notification: March 12, 2018 Camera-ready version: March 26, 2018 Paper registration: April 2, 2018 ICIAR conference: June 27-29, 2018 PROGRAM COMMITTEE: Brais Cancela, INESC TEC, Portugal Javier Traver, Universitat Jaume I, Spain Mariella Dimiccoli, Universitat de Barcelona, Spain Nicola Strisciuglio, University of Groningen, Netherlands Noelia Barreira, Universidade da Coru?a, Spain Peter Roth, Graz University of Technology, Austria Robert Sablatnig, Vienna University of Technology, Austria Ver?nica Bol?n Canedo, PhD Grupo LIDIA Departamento de Computaci?n Facultad de Inform?tica Universidade da Coru?a Campus de Elvi?a, s/n 15071 - A Coru?a, Spain Phone: +34 981 167150 Ext. 6007 Fax: +34 981 167160 e-mail: veronica.bolon at udc.es http://www.lidiagroup.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tony.Pipe at brl.ac.uk Fri Dec 22 07:42:10 2017 From: Tony.Pipe at brl.ac.uk (Tony Pipe) Date: Fri, 22 Dec 2017 12:42:10 +0000 Subject: Connectionists: Professor of Autonomous Robot Vehicles Message-ID: <60471384-2b1e-9217-367d-c103b704c214@brl.ac.uk> Job title: Professor of Autonomous Robot Vehicles Department: Bristol Robotics Laboratory Campus/location: Frenchay, Bristol campus Salary band: ?61,196 - ?88,361 - commensurate with experience and qualifications Duration of post: Permanent Closing date: 28 January 2018 @ 23:59 Job Overview: The Bristol Robotics Laboratory at the Faculty of Environment & Technology have an exciting permanent and full time position for a Professor of Autonomous Robot Vehicles to join BRL within the Engineering, Design & Mathematics Department. The Robotics and Autonomous Systems (RAS) research-and-innovation pipeline is now experiencing unprecedented growth, evidenced by substantial new research opportunities appearing across the UK, EU and global funding landscape. We are therefore looking to appoint a Professor of Autonomous Robot Vehicles. Due to substantial existing external funding for Research and Development in the Connected Autonomous Vehicle (CAV) sub-thematic area, there will be an initial strong emphasis on terrestrial vehicles. However, we would promote extension and integration activities to take full advantage of the other areas of existing vehicle research in Bristol Robotics Laboratory, so you will build on significant existing strengths to champion an exciting new research theme of wider scope that could include terrestrial, aerial and underwater Autonomous Robot Vehicles. Prime amongst the techniques to be investigated are: a) Effective and appropriate use of advanced wireless technologies for vehicle-to-vehicle and vehicle-to-infrastructure communications, especially with respect to coordinated group activity; b) Decision Making Systems, especially their effectiveness and safety in the presence of experiential learning; c) Environmental sensor and perception systems and their effective interfacing both to vehicle lower-level control and Decision Making Systems. We are looking for a candidate that could take on the challenge of joining these common factors across the application domains of vehicle categories, i.e., a candidate who will work with and grow our existing teams to make best use of our extensive facilities. These facilities include simulated and advanced wirelessly network connected real-world road-going and indoor mobile vehicle testing, a substantial instrumented flying arena, and similarly instrumented underwater vehicle facilities. We welcome applications from gifted researchers from strongly linked disciplines who are fully committed to developing one or more of the areas of research outlined above. Those applicants, who are willing to exploit the full innovation pipeline via our extensive in-house business incubator facilities, as well as undertaking fundamental research, will be viewed especially favourably. In addition to progressive pay rates, UWE Bristol also offers: ? a generous holiday allowance of 35 Days ? up to 12.5 bank holiday/closure days per year in addition; ? flexible working; ? excellent defined benefit pension schemes; ? option to participate in the cycle to work scheme; ? family friendly policies; ? onsite nursery at our Frenchay Campus; ? option to purchase childcare vouchers. This post is based in the Bristol Robotics Laboratory at our Frenchay campus. Please see the attached full job description and person specification for the role. If you have any queries or would like an informal discussion, please contact Tony Pipe on 01173286330 or email: Tony.Pipe at brl.ac.uk. Link to Bristol Robotics Laboratory with more details of the laboratory and full advert is: http://www.brl.ac.uk (http://www.brl.ac.uk/jobsatbrl.aspx for advert only). Alternative link for more details of the role and how to apply, please visit: http://www.jobs.ac.uk/job/BGJ285/professor-of-autonomous-robot-vehicles/ -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.lepora at bristol.ac.uk Fri Dec 22 06:20:13 2017 From: n.lepora at bristol.ac.uk (Nathan Lepora) Date: Fri, 22 Dec 2017 11:20:13 +0000 Subject: Connectionists: =?windows-1252?q?=5Bjobs=5D_Postdoc/Senior_Postdo?= =?windows-1252?q?c_in_Computational/Mathematical_Neuroscience_=96_A_biomi?= =?windows-1252?q?metic_forebrain_for_active_touch_=28University_of_Bristo?= =?windows-1252?q?l=29?= In-Reply-To: References: Message-ID: Postdoc/Senior Postdoc in Computational/Mathematical Neuroscience ? A biomimetic forebrain for active touch (University of Bristol) *** closing date for applications: 1 February 2018 *** The University of Bristol invites applications for an immediate position in Computational/Mathematical Neuroscience. The successful candidate will be part of a multi-disciplinary team on the new Leverhulme-funded Leadership Award ?A biomimetic forebrain for robot touch?, focusing on active touch. We have been awarded funds for four postdocs and a technician on a 5-year project that will apply leading robotics, artificial intelligence, neuroscience, psychology and philosophy of the brain to develop a biomimetic forebrain embodied on a 3D-printed tactile robot hand to enable human-like manipulation This application is for a Postdoctoral/Senior Postdoctoral Research Associate in Computational/Mathematical Neuroscience who will model the mammalian forebrain system for embodiment in the robots. This research position will focus on systems-level biological modelling of forebrain systems, and will complement three other postdoctoral researchers and a technician on the AI of robot touch and 3D-printed tactile robots, who together will embody the model on the robots. Our lab uses statistical/Bayesian approaches to model perception and action selection, and is interested in taking these approaches in the direction of goal-directed learning and task performance in complex environments. Although a relatively new group, we have a strong track record in publishing in both the leading Computational Neuroscience and Robotics/AI journals and conferences, including PLOS Computational Biology, Frontiers in Comp Neuro, NIPS, RSS, IEEE Trans Robotics, Soft Robotics and regularly in ICRA/IROS. Our lab has recently won the international Soft Robotics Challenge and we have a 3D-printed tactile robot hand on display in the Science Museum, London. Our group currently numbers 8 full-time members, and we will be hiring three postdocs and a technician over the next year. The project has funding until April 2022, making this an ideal position to develop a strong base for an academic career in this important research area. Applicant qualities: This application is for a postdoctoral position (Research Associate/Senior Research Associate) in Computational/Mathematical Neuroscience. We are looking for a candidate experienced in some of the following research areas, and an interest in pursuing the others: - Computation/mathematics of optimal decision making (e.g. statistical/Bayesian methods) - Models of reinforcement/goal-directed learning - Systems-level modelling of the basal ganglia and other forebrain structures - Interest in embodied computational neuroscience and embodied cognition/active perception. You will hold (or will be expected to obtain soon) a strong PhD in a discipline relevant to the project. In addition to a strong research track record you will also have a proven capability to write first author publications accepted in the leading journals of the research field. Institution The project will be based at both the Computational Neuroscience Unit (www.bristol.ac.uk/engineering/research/computational-neuroscience) at the University of Bristol and Bristol Robotics Laboratory (www.brl.ac.uk) the largest centre for multi-disciplinary robotics research in the UK. Our group also collaborates with other labs in this research area, principally at the University of Sheffield (Tony Prescott) and ISTC-CNR in Rome (Giovanni Pezzulo). The post holder will be employed by the Faculty of Engineering at the University of Bristol, ranked 3rd for general Engineering in the UK (just after Oxford and Cambridge). The city of Bristol is consistently ranked as the 'best place to live' in the UK, e.g. as reported by the BBC (http://www.bbc.co.uk/news/uk-england-39320118). Further details: It is anticipated that interviews will take place in February 2018, and the anticipated start as soon as possible thereafter. This post is full time for 2 years initially, with funds in place to extend the position until April 2022. Further information about the Leverhulme Award (http://www.lepora.com/leverhulme.htm) and the activities of the research group (www.lepora.com) can be found via these links. Details and procedure to apply can be made through this link http://www.bristol.ac.uk/jobs/find/ with reference number ACAD103059. Informal enquiries can be made to: Dr. Nathan Lepora (N.Lepora at bristol.ac.uk) Closing date for applications: 1 February 2018 -- 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 2 & 3): 0117 3286171 www.lepora.com @nathanlepora @tactilerobot -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtista at gmail.com Fri Dec 22 08:52:35 2017 From: mtista at gmail.com (Massimo Tistarelli) Date: Fri, 22 Dec 2017 14:52:35 +0100 Subject: Connectionists: Call for Applications: 15th Int.l Summer School on Biometrics and Forensics 2018 In-Reply-To: <9bd0ae4d-3dff-0582-7998-5ac7bf6b7db0@gmail.com> References: <9bd0ae4d-3dff-0582-7998-5ac7bf6b7db0@gmail.com> Message-ID: <20c0771c-96dd-0c7e-997e-62780a2829e0@gmail.com> ?? Please accept our sincere apologies for receiving multiple copies of this announcement ?? * * *15^th IAPR/Eurasip Int.l Summer School for Advanced Studies on Biometrics for Secure Authentication:* *ASSURING TRUSTWORTHINESS OF BIOMETRICS* *Alghero, Italy - June, 11-15 2018* Technically co-sponsored by the IEEE Biometrics Council *Contact:*tista at uniss.it http://biometrics.uniss.it *APPLICATION DEADLINE:*February 15^th 2018 (download the application form at: http://biometrics.uniss.it) From the early days, when security was the driving force behind biometric research, today?s challenges go far beyond security. Machine learning, Image understanding, Signal analysis, Neuroscience, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today ?Biometrics?. *For the last fifteen years, the International Summer School on Biometrics has been closely following the developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art.* What are the most up-to-date core biometric technologies developed in the field? What is the potential impact of biometrics in forensic investigation and crime prevention? How to detect impersonation attacks and disguise? What can we learn from human perception? What is a /biometric recognition system/? This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 15^th edition, the courses will mainly focus on new and emerging issues: ?*How Biometrics can deal with impersonation and disguise;* ?*How to exploit new biometric technologies in forensic and security applications;* ?*Evaluation and assessment of biometric and forensic applications.* ?*Biometrics, Forensic identification and advanced research: What is next?* The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry. *An advanced feature of this summer school will be some practical sessions to better understand, ?hands on?, the real potential of today?s biometric technologies.* *The school will be held in conjunction with the Int.l Worskshop on Biometrics and Forensics (IWBF 2018 ? June 7,8 2017 ? http://iwbf2018.uniss.it)* *_Participant application_* The school will be open to about 50 highly qualified, motivated and pre-selected applicants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. The expected school fees will be in the order of 1,500 ? for Phd students and 2,000 ? for others (subject to change). The fees will include full board accommodation, all courses and handling material. *A limited number of scholarships, covering a portion of the fees, will be awarded to Phd students*, selected on the basis of their scientific background and on-going research work. Precedence will be given to members of the EU H2020 IDENTITY consortium, and active members of IAPR and IEEE. The scholarship request form can be downloaded from the school web site */http://biometrics.uniss.it/*. Phd students, researchers and post-docs are encouraged to submit a short paper (6 pages maximum) for an oral presentation on their recent research activity. Poster boards will be also available to all participants to display their current research advances. Participants to the school will be entitled to a specially reduced fees to attend IWBF 2018. Send a filled application form (download from http://biometrics.uniss.it)//together with a short curriculum vitae to:** *Prof. Massimo Tistarelli ?*e-mail: *biometricsummerschool at gmail.com* *_Advance pre-registration is strictly required by February 15^th _**_2018_* *_School location_* The school will be hosted by HotelEl Faro (*/http://www.elfarohotel.it//*) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean sea. The property is beautifully immersed into the Capo Caccia bay. The hotel El Faro has a recently renovated conference center, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. *_School Committee:_* *Massimo Tistarelli* Computer Vision Laboratory ? University of Sassari, Italy *Josef Bigun * Department of Computer Science ? Halmstad University, Sweden *Enrico Grosso* Computer Vision Laboratory ? University of Sassari, Italy *Anil K. Jain* Biometrics laboratori ? Michigan State University, USA ** *_Distinguished lecturers from past school editions_* *Josef **Bigun* Halmstad University ? Sweden *Aldo Mattei* Arma dei Carabinieri ? Italy *Thirimachos Bourlai* West Virginia University ? USA *David Meuwly* Netherlands Forensic Institute ? NL *Vincent Bouatou* Safran Morpho ? France *Emilio Mordini MD* Responsible Technologies ? Italy *Deepak Chandra * Google Inc. ? USA *Mark Nixon* University of Southampton ? UK *Rama Chellappa* University of Maryland ? USA *Alice O?Toole* University of Texas ? USA *John Daugman* University of Cambridge ? UK *Maja Pantic* Imperial College ? UK *Farzin Deravi* University of Kent ? UK *Jonhaton Phillips* NIST ? USA *James Haxby* Dartmouth University ? USA *Arun Ross* Michigan State University ? USA *Anil K. Jain* Michigan State University ? USA *Tieniu Tan * CASIA-NLPR ? China *Joseph Kittler* University of Surrey ? UK *Massimo Tistarelli* Universit? di Sassari ? Italy *Davide Maltoni* Universit? di Bologna ? Italy *Alessandro Verri* Universit? di Genova ? Italy *John Mason* Swansea University ? UK *James Wayman* University of San Jos? ? USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Thu Dec 21 23:52:57 2017 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 22 Dec 2017 04:52:57 +0000 Subject: Connectionists: Deadline extension --- SBP-BRiMS'2018 -- Social Computing, Behavior/Cultural Modeling, Prediction & Simulation In-Reply-To: References: , <7F764823-1B48-42D3-AE2E-520611D0232D@jhuapl.edu>, , , , Message-ID: Apologies if you receive multiple copies ... 2018 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation July 10 (Tuesday) - 13 (Friday), 2018, George Washington University, Washington DC, USA http://sbp-brims.org Please note the extended deadline for paper submission... IMPORTANT DATES: Regular Paper (10-page) Submission: New Deadline: 11-January 2018 Author Notification: New Date: 12-February-2018 Final Version Submission: 26-February-2018 Short/Late Breaking Paper (6-page) Submission: 14-May-2018 Tutorial, Demo, and Challenge Problem Submissions: 14-May-2018 Doctoral consortium submissions due: 14-May-2018 Author Notification: 01-June-2018 Final Version Submission for Short Papers: 18-June 2018 Final Version Submission for Challenge Problem: 25-June 2018 All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Top papers will be invited to publish an extended version in a special issue of Computational and Mathematical Organization Theory. All accepted regular papers will be published in our archival physical proceedings - the Springer LNCS volume. Short papers are intended for late breaking findings, research at a more conceptual stage, and other research not appropriate as a regular paper. Accepted short papers will be published only in our on-line non-archival proceedings. The conference will include the following special sessions: Pre-conference Tutorial Sessions: July 10 (first day of the conference) Graduate Consortium: July 13 Poster Session: At Conference Poster Night Technology Demos: During Conference lunch times and Poster Night Challenge Problem Evaluation: At Conference Poster Night Funding Panel & Cross-Fertilization Roundtable* * Previous SBP conferences have included a Cross-Fertilization and/or Funding Panels. The purpose of these panels is to help participants become better acquainted with people outside of their discipline and provide an opportunity for conference participants to interact with program managers from various federal funding agencies. FORMAT AND SUBMISSION: See our webpage (http://sbp-brims.org) for format details. For any questions and inquiries concerning submissions, please email at sbpbrims at andrew.cmu.edu. CALL FOR PAPERS: SBP-BRIMS is an interdisciplinary conference integrating methods from the computational sciences and the social sciences. Submissions are solicited on research issues, theories, methodologies, and applications. Late-breaking research is encouraged. Historical topics of interest have included the following, however this is by no means exhaustive or exclusive: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and evolution * Collective action, public opinion representation, and governance * Cultural patterns, representation, and psycho-cultural situation awareness * Social conventions, social contexts and influence processes * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking Information, Systems, & Network Science * Data mining and analytics on social media for social and human dynamics * Diffusion and other dynamic processes over networks * Detection and inference over network topologies and changes over time * Analysis of high-dimensional networks, link formations, and link types Military & Intelligence Applications * Evaluation, modeling and simulation of military capacities and political influence * Impact of technological innovation on influence and information spread * Group representation and profiling, including extremist behaviors and policies * Cybersecurity, cyber-policy, and attribution * Methods of collating open source data into information describing events and activities Applications for Health and Well-being * Social network analysis to understand health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Model federation, validation and integration * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation TRAVEL SCHOLARSHIPS: It is anticipated that a limited number travel scholarships will be available on a competitive basis. Additional information will be provided on the SBP-BRiMS Conference website as it becomes available. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ozawasei at kobe-u.ac.jp Fri Dec 22 15:17:27 2017 From: ozawasei at kobe-u.ac.jp (OZAWA, Seiichi) Date: Sat, 23 Dec 2017 05:17:27 +0900 Subject: Connectionists: CFP: IJCNN 2018/WCCI 2018 Special Session on Data Mining and Knowledge Discovery in Cyber-Physical Systems Message-ID: [Apologies if you receive multiple copies of this CFP] IJCNN-26 Data Mining and Knowledge Discovery in Cyber-Physical Systems Organized by Seiichi Ozawa (ozawasei at kobe-u.ac.jp), Bo Tang, Cesare Alippi, Haibo He Special session website: https://my.ece.msstate.edu/faculty/tang/IJCNN2018CPS.html The integration of embedded computation, communication, sensors and actuators has led to the emergence and development of Cyber-Physical Systems (CPS). Such systems cover vast application areas such as those referring to power grids, transportation, healthcare, manufacturing, structure health monitoring just to name the few. Thanks to their ability to interact with the environment they are deployed in, the sensor platform associated with CPS collects a large amounts of data. By embedding intelligence in the application, researchers and engineers can enable new functions not previously possible, leading to many smart-X systems such as smart grid, smart healthcare, smart elderly care, smart agriculture, smart transportation, and smart building, among others. Computational intelligence and machine learning-based data mining techniques constitute the basis of intelligence, by handling the uncertainty coming from the physical world and support automatic decision making such that the smart systems are more robust, adaptive and fault tolerant to the dynamically changing environments. The large-scale and heterogeneous nature of data in CPS raises a number of challenges for data mining and knowledge discovery. Firstly, the ubiquitous deployment of sensors produces massive amounts of data. In contrast to traditional big data challenges, mining from massive data streams in CPS usually needs be efficient in order to support real-time decision making. Meanwhile, data become easily obsolete, due to the dynamically changing environment (time variance). Learning from limited labeled data ?this is mostly the case- requires advanced semi-supervised learning and unsupervised learning techniques for big data analysis. Moreover, heterogeneous data are usually collected from multiple sources or systems, and information fusion at data/feature/model levels is usually needed. The goal of this special session is to unveil these challenges and present the state-of-the-art research activities and results on all facets of data mining and knowledge discovery in CPS. Scope and Topics The goal of this special session is to unveil these challenges and present the state-of-the-art research activities and results on all facets of data mining and knowledge discovery in CPS. The special session invites submissions in any of the following areas: ? Learning with limited or inaccurate supervision ? Data and information fusion in smart environments ? Data analytics with distributed computing ? Data mining in Smart-X environments and the Internet of Things ? Mobile computing and data mining ? Intelligent transportation systems ? Computational intelligence in structure health monitoring ? CPS in smart city ? CPS in smart healthcare and elderly care ? CPS in smart agriculture ? Big Data model in CPS ? Reinforcement learning in CPS ? Reliability and sustainability in CPS ? Performance optimization in CPS ?Application and implementation of CPS Important Dates 15th January 2018 ? Paper Submission 15th March 2018 ? Paper Acceptance 1st May 2018 ? Final Paper Submission 1st May 2018 ? Early Registration 8-13 July 2018 ? IEEE WCCI 2018, Rio de Janeiro, Brazil From massimiliano.pontil at gmail.com Fri Dec 22 14:54:26 2017 From: massimiliano.pontil at gmail.com (massimiliano.pontil at gmail.com) Date: Fri, 22 Dec 2017 20:54:26 +0100 Subject: Connectionists: Expression of interest 2017 - Associate/Full Professorship in Machine Learning and Artificial Intelligence (Computer Science) Message-ID: The Department of Business and Management of LUISS University invites outstanding candidates to express their interests for 1 full-time tenured position (Full or Associate Professor) in Machine Learning and Artificial Intelligence (Computer Science) sponsored by Vetrya. Profile We seek academics of the highest calibre, with a strong commitment to research and teaching, and the aspiration to contribute to LUISS international expansion. Successful candidates will have the ambition to become leading international scholars in their own field: each position offers the opportunity to launch new research streams while teaching on preferred subjects. Candidates will hold a PhD from a leading research university, an established teaching experience and an appropriate record of publications in highly ranked international journals. Candidates will also have either a tenured position status in a university or have recently obtained the appropriate national qualification (ASN) of the Italian University System. Position Successful candidates will show a passionate drive for research. Teaching could be either in English or in Italian or both. Teaching load is 2 courses per year either in an undergraduate or post-graduate program. Candidates will supervise master dissertations and bachelor papers in their fields. Teaching assistantships are also available. Appointments are full-time. The salary is competitive. About the Department The Department of Business and Management offers undergraduate and post-graduate programs. The Department of Business and Management and the LUISS Business School are EQUIS accredited. Primary areas of faculty research include: accounting and performance measurement systems; business, corporate and international strategy; corporate governance; digital innovation and transformation; ethics, responsibility and sustainability; finance and banking; innovation and industry evolution; law and economics; marketing and consumer behavior; organization theory and HRM. As part of a major university wide initiative dedicated to the development of teaching and research programs in the emerging field of Data Science, the Department will offer a new Bachelor Degree in Management & Data Science starting in 2018/19. Consistently, the Department aims at attracting faculty in such areas as Algorithms, Data Science, Information Systems, and Digital Innovation. About Vetrya Vetrya [VTY.MI] is an Italian group recognized as leader in the development of digital services, applications and broadband solutions. The Group, listed on the Italian Stock Exchange, promotes the success of its customers by introducing innovation across the value chain, with a wide range of services, applications and cloud computing platforms for broadband and ultra-broadband telecommunications networks, media asset management, mobile entertainment, mobile payment, value-added services, internet TV, broadcasting, digital advertising and content production. Vetrya applies the high competence and experience in cloud computing, Big Data, Artificial Intelligence and Internet of Things on each device connected to the network. The group operates in the digital markets, media, telco, broadband, product, outsourcing and content management. The company has headquarters in the United States through Vetrya Inc. (Palo Alto, CA), which develops services and b2c applications; in the South-East Asia market through Vetrya Asia Pacific Sdn. Bhd. (Kuala Lumpur, Malaysia); in South America through Vetrya do Brasil (Rio de Janeiro, Brazil); and in Iberia through Vetrya Iberia (Madrid, Spain). Vetrya boasts successful collaborations with the leading telecom operators in the world, media companies, publishers, broadcasters, banks, utilities, manufacturing and consumer products. Application procedure Application must contain the following: Curriculum vitae 5-page (max) research and teaching statement including the candidate?s research program that intends to pursue while at LUISS (optional) LUISS University is committed to increasing the number of international and female scholars among its faculty. Therefore, we especially welcome applications from international and female scholars. For further information, please email recruitingdim at luiss.it. If applicants meet the Department?s expectations in term of qualifications, LUISS University will open a tenured position of Associate or Full Professor in Machine Learning & Artificial Intelligence in coherence with the procedures established by the Italian law. From tomas.hromadka at gmail.com Sat Dec 23 16:20:29 2017 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Sat, 23 Dec 2017 22:20:29 +0100 Subject: Connectionists: COSYNE 2018: Cosyne tutorial session, Travel grants, Registration Message-ID: <7b3f6eed-70f0-d7df-a487-e20f6d0d3cc9@gmail.com> ==================================================== Computational and Systems Neuroscience 2018 (Cosyne) MAIN MEETING 01 - 04 March 2018 Denver, Colorado WORKSHOPS 05 - 06 March 2018 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES Online registration is now open. Travel grant submission is now open. Hotel booking is currently open. Travel grant application deadlines Dec 31, 2017, 11.59PM PST (*Undergraduate* Travel Grant) Jan 17, 2018, 11.59PM PST (Other travel grants) ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. ---------------------------------------------------- COSYNE TUTORIAL SESSION ---------------------------------------------------- This year, Cosyne is hosting its first tutorial session. The tutorial on "Statistical models for neural data: from GLMs to latent variables" will be given by Jonathan Pillow on 01 March, before the main meeting starts. Space is limited. You can register for the tutorial when registering for the main meeting. For details on the tutorial and registration, see Cosyne.org -> Tutorial and Cosyne.org -> Registration. ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see Cosyne.org -> Travel grants. COSYNE SPEAKERS Tim Behrens (Oxford) Josh Berke (UCSF) Tiago Branco (UCL) Jessica Cardin (Yale) Claudia Clopath (Imperial) Marlene Cohen (Pittsburgh) Iain Couzin (Max-Planck) Carina Curto (Penn State) Ann Graybiel (MIT) Vivek Jayaraman (Janelia) Mate Lengyel (Cambridge) Joni Wallis (Berkeley) Byron Yu (CMU) ORGANIZING COMMITTEE General Chairs: Ilana Witten (Princeton) and Eric Shea-Brown (U Washington) Program Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Workshop Chairs: Laura Busse (LMU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details. From iswc2018 at gmail.com Sat Dec 23 15:58:20 2017 From: iswc2018 at gmail.com (Maribel Acosta) Date: Sat, 23 Dec 2017 21:58:20 +0100 Subject: Connectionists: [CfP] ISWC 2018 - Call for Papers and Proposals Message-ID: This is an announcement of the ISWC 2018 call for papers and proposals Website: 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 2. Call for Workshop and Tutorial proposals 1. Call for Papers ========================================== -------------------------------------------------------------------------- Call for Research Track Papers -------------------------------------------------------------------------- The International Semantic Web Conference is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. In this track of ISWC 2018, we are looking for novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. While we welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, etc.), we also encourage contributions to research at the intersection of Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant, and replicable research on the Semantic Web. All papers must include method evaluations that are rigorous, repeatable and reproducible. This will be one of the key paper reviewing criteria. We also strongly encourage papers that provide links to the data sets, source code, queries used to evaluate their approach, and/or live deployments. All papers will be assessed by a program committee. Each paper will be reviewed by at least four committee members, including one senior member. The review criteria used are outlined below. Before submitting, authors are asked to consult the calls of the other tracks featured at ISWC 2018 and to choose the track that best suits their contribution. The submission of the same work to multiple tracks is not allowed and may result in a rejection of the work across all tracks without a review. Detailed info: http://iswc2018.semanticweb.org/call-for-research-track-papers/ Program Chairs * Denny Vrandecic, Google, USA * Kalina Bontcheva, University of Sheffield, UK -------------------------------------------------------------------------- Call for In-Use Track Papers -------------------------------------------------------------------------- Since their debut in the scientific community at the break of the millennium, Semantic Web technologies have moved from being adopted in small-scale academic prototypes to being employed in real-world settings in industry and governments at different scales. The ?In Use? Track at ISWC?18 continues the tradition of demonstrating and learning from the increasing adoption of Semantic Web technologies outside the boundaries of research institutions, by providing a forum for the community to explore the benefits and challenges of applying these technologies in concrete, practical applications, in contexts ranging from industry to government and science. Therefore, we are looking for descriptions of applied and validated solutions such as software tools, systems or architectures that benefit from the use of Semantic Web technologies (including, but not limited to, ontologies, Linked Data, knowledge representation languages). Importantly, submitted papers should provide convincing evidence that there is use of the proposed application or tool by the target user group, preferably outside the group that conducted the development. A main focus of the submissions should be on the benefits of Semantics Web technologies for the intended use case, as well as, if relevant, on the added challenges they introduce. Before submitting to the In-Use Track, authors are asked to consult the calls of the other tracks featured at ISWC 2018 and to choose the track that best suits their contribution. The submission of the same work to multiple tracks is not allowed and may result in a rejection of the work across all tracks without a review. Detailed info: http://iswc2018.semanticweb.org/call-for-in-use-track-papers/ Program Chairs * Irene Celino, Cefriel, Italy * Marta Sabou, Technical University of Vienna, Austria -------------------------------------------------------------------------- Call for Resources Track Papers -------------------------------------------------------------------------- Resources are of paramount importance as they foster scientific advancement. For example, the DBpedia resource had a major influence on the Semantic Web community by enabling the Linked (Open) Data movement. Validating a research hypothesis or providing answers to a research question often goes together with developing new resources that support these achievements. These resources include, among others, datasets, benchmarks, workflows, and software. Sharing them is key to allow other researchers to compare new results, reproduce experimental settings and explore new lines of research, in accordance with the FAIR principles for scientific data management. Yet, resources themselves rarely get the same recognition as the scientific advances they facilitate. The ISWC 2018 Resources Track aims to promote the sharing of resources including, but not restricted to: datasets, ontologies, vocabularies, ontology design patterns, evaluation benchmarks or methods, services, APIs and software frameworks, workflows, crowdsourcing task designs, protocols and metrics, that have contributed to the generation of novel scientific work. In particular, we encourage the sharing of such resources following best and well established practices within the Semantic Web community. This track calls for contributions that provide a concise and clear description of a resource and its usage. A typical Resource track paper has its focus set on reporting on one of the following categories of resources: * Datasets produced: to support specific evaluation tasks; to support novel research methods; by novel algorithms; * Ontologies, vocabularies and ontology design patterns, with a focus on describing the modelling process underlying their creation; * Benchmarking activities focusing on datasets and algorithms for comprehensible and systematic evaluation of existing and future systems; * Reusable research prototypes / services supporting a given research hypothesis; * Community shared software frameworks that can be extended or adapted to support scientific study and experimentation; * Scientific and experimental workflows used and reused in practical studies; * Crowdsourcing task designs that have been used and can be (re)used for building resources such as gold standards and the like; * Protocols for conducting experiments and studies; * Novel evaluation methodologies and metrics, and their demonstration in an experimental study. Detailed info: http://iswc2018.semanticweb.org/call-for-resources-track-papers/ Program Chairs * Valentina Presutti, STLab-ISTC, Consiglio Nazionale delle Ricerche ? Rome, Italy * Mari Carmen Su?rez-Figueroa, OEG (Ontology Engineering Group), Universidad Polit?cnica de Madrid (UPM), Spain -------------------------------------------------------------------------- Important Dates for Paper Submissions -------------------------------------------------------------------------- Abstracts due March 30, 2018 Full papers due April 6, 2018 Author rebuttals May 7-11, 2018 Notifications May 25, 2018 Camera-ready papers due June 15, 2018 Conference October 10-12, 2018 All deadlines are midnight Hawaii time. 2. Call for Workshop and Tutorial Proposals ================================= In addition to the regular research program, ISWC 2018 will feature a workshop and tutorial program addressing the diverse interests of its audience. We hereby invite you to submit a tutorial proposal on a topic relevant to the ISWC 2018 audience. Detailed info: http://iswc2018.semanticweb.org/call-for-tutorial-proposals/ Besides tutorials, ISWC will host a number of workshops on topics related to the general theme of the conference. The role of the workshops is to provide a context for a focused and intensive scientific exchange among researchers interested in a particular topic. As such, workshops are the primary venues for the exploration of emerging ideas as well as for the discussion of novel aspects of established research topics. We invite you to submit a proposal for workshops on a topic of interest to ISWC attendees. Detailed info: http://iswc2018.semanticweb.org/call-for-workshop-proposals/ Workshops & Tutorials Chairs * Amrapali Zaveri, Maastricht University, Maastricht, Netherlands * Elena Demidova, L3S Research Center, Leibniz Universit?t Hannover, Hannover, Germany -------------------------------------------------------------------------- Important Dates for Workshops and Tutorials -------------------------------------------------------------------------- Workshop & Tutorial proposals January 21, 2018 Workshop & Tutorial proposals notifications February 15, 2018 Workshop paper submissions due June 1, 2018 Workshop paper notifications sent July 13, 2018 Workshops & Tutorials October 8-9, 2018 Conference October 10-12, 2018 All deadlines are midnight Hawaii time. The ISWC Organising Committee (http://iswc2018.semanticweb.org/organization/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From erik at oist.jp Sun Dec 24 23:55:47 2017 From: erik at oist.jp (Erik De Schutter) Date: Mon, 25 Dec 2017 04:55:47 +0000 Subject: Connectionists: Announcing Okinawa/OIST Computational Neuroscience Course 2018 Message-ID: <9ED8D2D8-79EE-4779-9CEA-2663C1D43CB6@oist.jp> OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2018 Methods, Neurons, Networks and Behaviors June 25 to July 12, 2018 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 25th through July 12th, 2018 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - February 3, 2018. Applicants will receive confirmation of acceptance in March. Like in preceding years, the 15th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and provides partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: ? Maxim Bazhenov (University of California San Diego, USA) ? Michael Brecht (Bernstein Center for Computational Neuroscience Berlin, Germany) ? Erik De Schutter (OIST) ? Kenji Doya (OIST) ? Shaul Druckmann (Janelia Research Campus, USA) ? Karl Friston (Wellcome Trust Centre for Neuroimaging, UCL, UK) ? Wulfram Gerstner (?cole Polytechnique F?d?rale de Lausanne, Switzerland) ? Michele Giugliano (University of Antwerp, Belgium) ? Mitsuo Kawato (ATR, Japan) ? Bernd Kuhn (OIST) ? Kazuhisa Shibata (Nagoya University, Japan) ? Olaf Sporns (Indiana University, USA) ? ?Greg Stephens (OIST) ? Tatjana Tchumatchenko (MPI for Brain Research, Frankfurt, Germany) ? ?Krasimira Tsaneva-Atanasova (University of Exeter, UK) ? Yoko Yazaki-Sugiyama (OIST) -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 3698 bytes Desc: not available URL: From dwang at cse.ohio-state.edu Tue Dec 26 10:57:16 2017 From: dwang at cse.ohio-state.edu (WANG, DELIANG) Date: Tue, 26 Dec 2017 10:57:16 -0500 Subject: Connectionists: NEURAL NETWORKS, Jan. 2018 Message-ID: Neural Networks - Volume 97, January 2018 http://www.journals.elsevier.com/neural-networks Editorial: Fostering deep learning and beyond Kenji Doya, DeLiang Wang Multistability and instability analysis of recurrent neural networks with time-varying delays Fanghai Zhang, Zhigang Zeng Neural network robust tracking control with adaptive critic framework for uncertain nonlinear systems Ding Wang, Derong Liu, Yun Zhang, Hongyi Li Fuzzy-Rough Cognitive Networks Gonzalo Napoles, Carlos Mosquera, Rafael Falcon, Isel Grau, Rafael Bello, Koen Vanhoof Modular representation of layered neural networks Chihiro Watanabe, Kaoru Hiramatsu, Kunio Kashino Stretchy binary classification Kar-Ann Toh, Zhiping Lin, Lei Sun, Zhengguo Li Matrix exponential based discriminant locality preserving projections for feature extraction Gui-Fu Lu, Yong Wang, Jian Zou, Zhongqun Wang Parzen neural networks: Fundamentals, properties, and an application to forensic anthropology Edmondo Trentin, Luca Lusnig, Fabio Cavalli Margined winner-take-all: New learning rule for pattern recognition Kunihiko Fukushima Deep neural networks for texture classification?A theoretical analysis Saikat Basu, Supratik Mukhopadhyay, Manohar Karki, Robert DiBiano, Sangram Ganguly, Ramakrishna Nemani, Shreekant Gayaka Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity Sang-Yoon Kim, Woochang Lim Variable structure controller design for Boolean networks Liangjie Sun, Jianquan Lu, Yang Liu, Tingwen Huang, Fuad E. Alsaadi, Tasawar Hayat New results on global exponential dissipativity analysis of memristive inertial neural networks with distributed time-varying delays Guodong Zhang, Zhigang Zeng, Junhao Hu Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases J.-P. Tchapet Njafa, S.G. Nana Engo SNAVA?A real-time multi-FPGA multi-model spiking neural network simulation architecture Athul Sripad, Giovanny Sanchez, Mireya Zapata, Vito Pirrone, Taho Dorta, Salvatore Cambria, Albert Marti, Karthikeyan Krishnamourthy, Jordi Madrenas V4 shape features for contour representation and object detection Hui Wei, Zheng Dong, Luping Wang Visualizing deep neural network by alternately image blurring and deblurring Feng Wang, Haijun Liu, Jian Cheng From ahu at cs.stir.ac.uk Tue Dec 26 12:00:17 2017 From: ahu at cs.stir.ac.uk (Dr Amir Hussain) Date: Tue, 26 Dec 2017 17:00:17 +0000 Subject: Connectionists: (Increased 2016-17 ISI Impact Factor of 3.44) Table of Contents: Cognitive Computation journal (Springer Nature): Vol.9, No.6 / Dec 2017 Issue Message-ID: Dear Colleagues: (with advance apologies for any cross-postings) We are delighted to announce the publication of Volume 9, No.6 / Dec 2017 Issue of (Springer Nature's) Cognitive Computation journal - www.springer.com/12559 =========================================== Important News: Increased ISI SCI Impact Factor to 3.44 (Six bi-monthly Journal Issues, since 2015) =========================================== As you will know, Cognitive Computation was selected for coverage in Thomson Reuter?s products and services in 2011. Beginning with V.1 (1) 2009, this publication is now indexed and abstracted in: ? Science Citation Index Expanded (also known as SciSearch?) ? Journal Citation Reports/Science Edition ? Current Contents?/Engineering Computing and Technology ? Neuroscience Citation Index? Cognitive Computation received its first Impact Factor (IF) in 2011. The ISI IF for 2016/17 has increased to 3.44 - Thomson Reuters Journal Citation Reports? 2017 Many congratulations to the editors, reviewers and authors! Want to be part of the growing success? Visit the journal homepage ( http://springer.com/12559) for instructions on submitting your research. The December 2017 Issue comprises a selection of 11 papers. The full listings of published articles (Table of Contents) for these Issues can be viewed here (and also at the end of this message, followed by an overview of previous Issues/Archive listings): http://link.springer.com/journ al/12559/9/6/ The recent June 2017 Issue comprises an exciting Special Issue on "Advances in Biologically Inspired Reservoir Computing". The Guest Editorial by Simone Scardapane, John B. Butcher, Filippo M. Bianchi and Zeeshan K. Malik, is available for free download at: https://link.springer.com/ article/10.1007/s12559-017-9469-1/fulltext.html (The full Table of Contents listing can be found here: https://link.springer.com/journal/12559/9/3/page/1 and also at the end of this message) A list of the journal's Open Access articles can be found here: http://link.springer.com/search?query=&search-within=Journal &facet-journal-id=12559&package=openaccessarticles Other 'Online First' published articles not yet in a print issue can be viewed here: http://www.springerlink.com/content/121361/?Content+Status=Accepted All previous Volumes and Issues of the journal can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 ======================================== Reminder: Cognitive Computation "LinkedIn" Group: ======================================== To further strengthen the bonds amongst the interdisciplinary audience of Cognitive Computation, we have set-up a "Cognitive Computation LinkedIn group", which has nearly 1000 members already! We warmly invite you to join us at: http://www.linkedin.com/groups?gid=3155048 For further information on the journal and to sign up for electronic "Table of Contents alerts" please visit the Cognitive Computation homepage: http://www.springer.com/12559 or follow us on Twitter at: http://twitter.com/CognComput for the latest On-line First Issues. For any questions with regards to LinkedIn and/or Twitter, please contact Springer's Publishing Editor: Marleen Moore: Marleen.Moore at springer.com Finally, we would like to invite you to submit short or regular papers describing original research or timely review of important areas - our aim is to peer review all papers within approximately six weeks of receipt. We also welcome relevant high quality multi-disciplinary proposals for Special Issues - three are already planned for 2018/19! With our very best wishes to all aspiring readers and authors of Cognitive Computation, for the New Year! Professor Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation) E-mail: ahu at cs.stir.ac.uk (University of Stirling, Scotland, UK) Professor Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive Computation) (Imperial College, London, UK) http://www.springer.com/12559 NEW: Open Access Springer Nature/BioMed Central (BMC) journal: Big Data Analytics (http://www.bdataanalytics.com/) - Now accepting submissions! NEW: Springer Series on Socio-Affective Computing: http://www.springer.com/series/13199 NEW: Book Series: Cognitive Computation Trends http://www.springer.com/series/15648 ============================= Table of Contents -- Cognitive Computation Vol 9 No 6, December 2017 ============================== *Parkinson?s Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech* T. Arias-Vergara, J. C. V?squez-Correa, J. R. Orozco-Arroyave https://link.springer.com/article/10.1007/s12559-017-9497-x *A Bayesian Assessment of Real-World Behavior During Multitasking* Jeroen H.M. Bergmann, Joan Fei, David A Green, Amir Hussain, Newton Howard https://link.springer.com/article/10.1007/s12559-017-9500-6 *Motor Imagery EEG Classification Based on Kernel Hierarchical Extreme Learning Machine* Lijuan Duan, Menghu Bao, Song Cui, Yuanhua Qiao, Jun Miao https://link.springer.com/article/10.1007/s12559-017-9494-0 *Leveraging Spatial Context Disparity for Power Line Detection* Chaofeng Pan, Haotian Shan, Xianbin Cao, Xuelong Li, Dapeng Wu https://link.springer.com/article/10.1007/s12559-017-9488-y *Online Extreme Learning Machine with Hybrid Sampling Strategy for Sequential Imbalanced Data* Wentao Mao, Mengxue Jiang, Jinwan Wang, Yuan Li https://link.springer.com/article/10.1007/s12559-017-9504-2 *An Interval Neutrosophic Projection-Based VIKOR Method for Selecting Doctors* Junhua Hu, Li Pan, Xiaohong Chen https://link.springer.com/article/10.1007/s12559-017-9499-8 *Optimization of Non-rigid Demons Registration Using Cuckoo Search Algorithm* Sayan Chakraborty, Nilanjan Dey, Sourav Samanta, Amira S. Ashour, C. Barna, M. M. Balas https://link.springer.com/article/10.1007/s12559-017-9508-y *Multi-Criteria Decision-Making Method Based on Distance Measure and Choquet Integral for Linguistic Z-Numbers* Jian-qiang Wang, Yong-xi Cao, Hong-yu Zhang https://link.springer.com/article/10.1007/s12559-017-9493-1 *Learning Word Representations for Sentiment Analysis* Yang Li, Quan Pan, Tao Yang, Suhang Wang, Jiliang Tang, Erik Cambria https://link.springer.com/article/10.1007/s12559-017-9492-2 *A Novel Technique for Detecting Plagiarism in Documents Exploiting Information Sources* Mansi Sahi, Vishal Gupta https://link.springer.com/article/10.1007/s12559-017-9502-4 *Sentence-Level Emotion Detection Framework Using Rule-Based Classification* Muhammad Zubair Asghar, Aurangzeb Khan, Afsana Bibi, Fazal Masud Kundi, Hussain Ahmad https://link.springer.com/article/10.1007/s12559-017-9503-3 ============================= Table of Contents -- Cognitive Computation Vol 9 No 5, October 2017 ============================== Ensemble of Deep Neural Networks with Probability-Based Fusion for Facial Expression Recognition Guihua Wen, Zhi Hou, Huihui Li, Danyang Li, Lijun Jiang, Eryang Xun https://link.springer.com/article/10.1007/s12559-017-9472-6 Multi-criteria Outranking Methods with Hesitant Probabilistic Fuzzy Sets Jian Li, Jian-qiang Wang https://link.springer.com/article/10.1007/s12559-017-9476-2 Removal of Electrooculogram Artifacts from Electroencephalogram Using Canonical Correlation Analysis with Ensemble Empirical Mode Decomposition Banghua Yang, Tao Zhang, Yunyuan Zhang, Wanquan Liu, Jianguo Wang, Kaiwen Duan https://link.springer.com/article/10.1007/s12559-017-9478-0 Lane Boundary Detection Algorithm Based on Vector Fuzzy Connectedness Lingling Fang, Xianghai Wang https://link.springer.com/article/10.1007/s12559-017-9483-3 Storages Are Not Forever Erik Cambria, Anupam Chattopadhyay, Eike Linn, Bappaditya Mandal, Bebo White https://link.springer.com/article/10.1007/s12559-017-9482-4 FE-ELM: A New Friend Recommendation Model with Extreme Learning Machine Zhen Zhang, Xiangguo Zhao, Guoren Wang https://link.springer.com/article/10.1007/s12559-017-9484-2 An Efficient Corpus-Based Stemmer Jasmeet Singh, Vishal Gupta https://link.springer.com/article/10.1007/s12559-017-9479-z A Study on Text-Score Disagreement in Online Reviews Michela Fazzolari, Vittoria Cozza, Marinella Petrocchi, Angelo Spognardi https://link.springer.com/article/10.1007/s12559-017-9496-y Semantic Category-Based Classification Using Nonlinear Features and Wavelet Coefficients of Brain Signals Ali Torabi, Fatemeh Zareayan Jahromy, Mohammad Reza Daliri https://link.springer.com/article/10.1007/s12559-017-9487-z A Comparative Study of In-Air Trajectories at Short and Long Distances in Online Handwriting Carlos Alonso-Martinez, Marcos Faundez-Zanuy, Jiri Mekyska https://link.springer.com/article/10.1007/s12559-017-9501-5 Establishment of Cognitive Relations Based on Cognitive Informatics Radhika Shivhare, Aswani Kumar Cherukuri, Jinhai Li https://link.springer.com/article/10.1007/s12559-017-9498-9 ============================= Table of Contents -- Cognitive Computation Vol 9 No 4, August 2017 ============================== Nature-Inspired Chemical Reaction Optimisation Algorithms Nazmul Siddique, Hojjat Adeli https://link.springer.com/article/10.1007/s12559-017-9485-1 A Review of Sentiment Analysis Research in Chinese Language Haiyun Peng, Erik Cambria, Amir Hussain https://link.springer.com/article/10.1007/s12559-017-9470-8 Application of Rough Set-Based Feature Selection for Arabic Sentiment Analysis Qasem A. Al-Radaideh, Ghufran Y. Al-Qudah https://link.springer.com/article/10.1007/s12559-017-9477-1 Effective Use of Evaluation Measures for the Validation of Best Classifier in Urdu Sentiment Analysis Neelam Mukhtar, Mohammad Abid Khan, Nadia Chiragh https://link.springer.com/article/10.1007/s12559-017-9481-5 Neuronal Network and Awareness Measures of Post-Decision Wagering Behavior in Detecting Masked Emotional Faces Remigiusz Szczepanowski, Micha? Wierzcho?, Marcin Szul?ycki https://link.springer.com/article/10.1007/s12559-017-9456-6 Model Based Edge-Preserving and Guided Filter for Real-World Hazy Scenes Visibility Restoration Zi-yang Wang, Jian Luo, Kai-yu Qin, Hou-biao Li, Gun Li https://link.springer.com/article/10.1007/s12559-017-9458-4 Cognitive Modeling of the Natural Behavior of the Varroa destructor Mite on Video Melvin Ram?rez-Bogantes, Juan P. Prendas-Rojas, Geovanni Figueroa-Mata, Rafael A. Calderon, Oscar Salas-Huertas, Carlos M. Travieso https://link.springer.com/article/10.1007/s12559-017-9471-7 Interval-Valued Intuitionistic Fuzzy Power Bonferroni Aggregation Operators and Their Application to Group Decision Making Peide Liu, Honggang Li https://link.springer.com/article/10.1007/s12559-017-9453-9 A Multiple Criteria Decision Making Model with Entropy Weight in an Interval-Transformed Hesitant Fuzzy Environment B. Farhadinia https://link.springer.com/article/10.1007/s12559-017-9480-6 A Novel Clustering Algorithm in a Neutrosophic Recommender System for Medical Diagnosis Nguyen Dang Thanh, Mumtaz Ali, Le Hoang Son https://link.springer.com/article/10.1007/s12559-017-9462-8 Ensemble-Based Risk Scoring with Extreme Learning Machine for Prediction of Adverse Cardiac Events Nan Liu, Jeffrey Tadashi Sakamoto, Jiuwen Cao, Zhi Xiong Koh, Andrew Fu Wah Ho, Zhiping Lin, Marcus Eng Hock Ong https://link.springer.com/article/10.1007/s12559-017-9455-7 Common Subspace Learning via Cross-Domain Extreme Learning Machine Yan Liu, Lei Zhang, Pingling Deng, Zheng He https://link.springer.com/article/10.1007/s12559-017-9473-5 DOA Estimation of Excavation Devices with ELM and MUSIC-Based Hybrid Algorithm Jianzhong Wang, Kai Ye, Jiuwen Cao, Tianlei Wang, Anke Xue, Yuhua Cheng, Chun Yin https://link.springer.com/article/10.1007/s12559-017-9475-3 Neuron Pruning-Based Discriminative Extreme Learning Machine for Pattern Classification Tan Guo, Lei Zhang, Xiaoheng Tan https://link.springer.com/article/10.1007/s12559-017-9474-4 ============================= Table of Contents -- Cognitive Computation Vol 9 No 3, June 2017 ============================== *Advances in Biologically Inspired Reservoir Computing* *Simone Scardapane, John B. Butcher, Filippo M. Bianchi, Zeeshan K. Malik* https://link.springer.com/article/10.1007/s12559-017-9469-1/fulltext.html *Online Training for High-Performance Analogue Readout Layers in Photonic Reservoir Computers* *Piotr Antonik, Marc Haelterman, Serge Massar* https://link.springer.com/article/10.1007/s12559-017-9459-3 *A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing* *Andrew Katumba, Matthias Freiberger, Peter Bienstman, Joni Dambre* https://link.springer.com/article/10.1007/s12559-017-9465-5 *Real-time Audio Processing with a Cascade of Discrete-Time Delay Line-Based Reservoir Computers* *Lars Keuninckx, Jan Danckaert, Guy Van der Sande* https://link.springer.com/article/10.1007/s12559-017-9457-5 *Reservoir Computing with an Ensemble of Time-Delay Reservoirs* *Silvia Ort?n, Luis Pesquera* https://link.springer.com/article/10.1007/s12559-017-9463-7 *Echo State Property of Deep Reservoir Computing Networks* *Claudio Gallicchio, Alessio Micheli* https://link.springer.com/article/10.1007/s12559-017-9461-9 *An Investigation of the Dynamical Transitions in Harmonically Driven Random Networks of Firing-Rate Neurons* *Kyriacos Nikiforou, Pedro A. M. Mediano, Murray Shanahan* https://link.springer.com/article/10.1007/s12559-017-9464-6 *Training Echo State Networks with Regularization Through Dimensionality Reduction* *Sigurd L?kse, Filippo Maria Bianchi, Robert Jenssen* https://link.springer.com/article/10.1007/s12559-017-9450-z *Orthogonal Echo State Networks and Stochastic Evaluations of Likelihoods* *N. Michael Mayer, Ying-Hao Yu* https://link.springer.com/article/10.1007/s12559-017-9466-4 *Optimizing Echo State Networks for Static Pattern Recognition* *Adam J. Wootton, Sarah L. Taylor, Charles R. Day, Peter W. Haycock* https://link.springer.com/article/10.1007/s12559-017-9468-2 *Reservoir Computing with Both Neuronal Intrinsic Plasticity and Multi-Clustered Structure* *Fangzheng Xue, Qian Li, Hongjun Zhou, Xiumin Li* https://link.springer.com/article/10.1007/s12559-017-9467-3 ============================= Table of Contents -- Cognitive Computation Vol 9 No 2, April 2017 ============================== *A Hierarchical Predictive Coding Model of Object Recognition in Natural Images* *M. W. Spratling* https://link.springer.com/article/10.1007/s12559-016-9445-1 *Semantic Image Segmentation Method with Multiple Adjacency Trees and Multiscale Features* *Jun Xie, Lu Yu, Lei Zhu, Xiaohong Chen* https://link.springer.com/article/10.1007/s12559-016-9441-5 *CLASS: Collaborative Low-Rank and Sparse Separation for Moving Object Detection* *Aihua Zheng, Minghe Xu, Bin Luo, Zhili Zhou, Chenglong Li* https://link.springer.com/article/10.1007/s12559-017-9449-5 *A Review on Feature Binding Theory and Its Functions Observed in Perceptual Process* *Shifei Ding, Lingheng Meng, Youzhen Han, Yu Xue* https://link.springer.com/article/10.1007/s12559-016-9446-0 *Cognitively Inspired Artificial Bee Colony Clustering for Cognitive Wireless Sensor Networks* *Sung-Soo Kim, Sean McLoone, Ji-Hwan Byeon, Seokcheon Lee, Hongbo Liu* https://link.springer.com/article/10.1007/s12559-016-9447-z/fulltext.html *Observer-Based Stabilization Control of Time-Delay T-S Fuzzy Systems via the Non-Uniform Delay Partitioning Approach* *Xiaohong Nian, Miaoping Sun, Hua Guo, Haibo Wang, Liqiong Dai* https://link.springer.com/article/10.1007/s12559-017-9448-6/fulltext.html *Cross-Linguistic Cognitive Modeling of Verbal Morphology Acquisition* *Jes?s Oliva, J. Ignacio Serrano, M. Dolores del Castillo, ?ngel Iglesias* https://link.springer.com/article/10.1007/s12559-017-9454-8/fulltext.html *SLT-Based ELM for Big Social Data Analysis* *Luca Oneto, Federica Bisio, Erik Cambria, Davide Anguita* https://link.springer.com/article/10.1007/s12559-016-9440-6 *Dolphin Swarm Extreme Learning Machine* *Tianqi Wu, Min Yao, Jianhua Yang* https://link.springer.com/article/10.1007/s12559-017-9451-y *Extreme Learning Machine for Huge Hypotheses Re-ranking in Statistical Machine Translation* *Yan Liu, Chi Man Vong, Pak Kin Wong* https://link.springer.com/article/10.1007/s12559-017-9452-x ----------------------------------------------- Previous Issues/Archive: Overview: ----------------------------------------------- All previous Volumes and Issues can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 Alternatively, the full listing of the Inaugural Vol. 1, No. 1 / March 2009, can be viewed here (which included invited authoritative reviews by leading researchers in their areas - including keynote papers from London University's John Taylor, Igor Aleksander and Stanford University's James McClelland, and invited papers from Ron Sun, Pentti Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and Tom Ziemke): http://www.springerlink.com/content/1866-9956/1/1/ The full listing of Vol. 1, No. 2 / June 2009, can be viewed here (which included invited reviews and original research contributions from leading researchers, including Rodney Douglas, Giacomo Indiveri, Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann Pulvermuller): http://www.springerlink.com/content/1866-9956/1/2/ The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/3/ The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/4/ The full listing of Vol.2, No. 1 / March 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/1/ The full listing of Vol.2, No. 2 / June 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/2/ The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/3/ The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/4/ The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on: Saliency, Attention, Active Visual Search and Picture Scanning, edited by John Taylor and Vassilis Cutsuridis), can be viewed here: http://www.springerlink.com/content/1866-9956/3/1/ The Guest Editorial can be viewed here: http://www.springerlink.com/content/hu2245056415633l/ The full listing of Vol.3, No.2 / June 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/2/ The full listing of Vol. 3, No. 3 / Sep 2011 (Special Issue on: Cognitive Behavioural Systems, Guest Edited by: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy), can be viewed here: http://www.springerlink.com/content/1866-9956/3/3/ The Guest Editorial for the special issue can be viewed here: http://www.springerlink.com/content/h4718567520t2h84/ The full listing of Vol. 3, No. 4 / Dec 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/4/ The full listing of Vol. 4, No.1 / Mar 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/1/ The full listing of Vol. 4, No.2 / June 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/2/ The full listing of Vol. 4, No.3 / Sep 2012 (Special Issue on: Computational Creativity, Intelligence and Autonomy, Edited by: J. Mark Bishop and Yasemin J. Erden) can be viewed here: http://www.springerlink.com/content/1866-9956/4/3/ The full listing of Vol. 4, No.4 / Dec 2012 (Special Issue titled: "Cognitive & Emotional Information Processing", Edited by: Stefano Squartini, Bj?rn Schuller and Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/4/4/page/1 The full listing of Vol. 5, No.1 / March 2013 Special Issue titled: Computational Intelligence and Applications Guest Editors: Zhigang Zeng & Haibo He, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/1/page/1 The full listing of Vol. 5, No.2 / June 2013 Special Issue titled: Advances on Brain Inspired Computing, Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/2/page/1 The full listing of Vol. 5, No.3 / Sep 2013 Special Issue titled: In Memory of John G Taylor: A Polymath Scholar, Guest Editors: Vassilis Cutsuridis & Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/3/page/1 The full listing of Vol. 5, No.4 / Dec 2013, which includes regular papers (including an invited paper by Professor Ron Sun, Rensselaer Polytechnic Institute, USA, titled: Moral Judgment, Human Motivation, and Neural Networks), and a Special Issue titled: Advanced Cognitive Systems Based on Nonlinear Analysis. Guest Editors: Carlos M. Travieso and Jes?s B. Alonso, can be viewed here: http://link.springer.com/journal/12559/5/4/page/1 The full listing of Vol. 6, No.1 / Mar 2014, can be viewed here: http://link.springer.com/journal/12559/6/1/page/1 The full listing of Vol. 6, No.2 / June 2014, can be viewed here: http://link.springer.com/journal/12559/6/2/page/1 The full listing of Vol. 6, No.3 / Sep 2014, can be viewed here: http://link.springer.com/journal/12559/6/3/page/1 The full listing of Vol. 6, No.4 / Dec 2014 (Special Issue on Modeling emotion, behaviour and context in socially believable robots and ICT interfaces, Guest Editors: Anna Esposito, Leopoldina Fortunati, and Giuseppe Lugano) can be viewed here: http://link.springer.com/journ al/12559/6/4/page/1 The full listing of Vol. 7, No.1 / Feb 2015 can be viewed here: http://link.springer.com/journal/12559/7/1/ (with the first six papers part of a Special Issue on "Neural Signal Processing", Guest Edited by: Jordi Sole?-Casals, Francois-Benoit Vialatte, Justin Dauwels. The Guest Editorial titled: "Alternative Techniques of Neural Signal Processing in Neuroengineering" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9317-0) The full listing of Vol. 7, No. 2 / April 2015, can be viewed here: http://link.springer.com/journal/12559/7/2/ This comprises a Special Issue on "Sentic Computing", Guest Edited by: E. Cambria and A. Hussain. The Guest Editorial titled: "Sentic Computing" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9325-0 The full listing of Vol. 7, No. 3 / June 2015, can be viewed here: http://link.springer.com/journal/12559/7/3/ The full listing of Vol. 7, No. 4 / August 2015, can be viewed here: http://link.springer.com/journal/12559/7/4/ This comprises an invited paper by A. Vinciarelli and A. Esposito, et al. titled: Open Challenges in Modelling, Analysis and Synthesis of Human Behaviour in Human?Human and Human?Machine Interactions, which is followed by six regular papers. The full listing of Vol. 7, No. 5 / October 2015, can be viewed here: http://link.springer.com/journal/12559/7/5/ The full listing of Vol. 7, No.6 / December 2015, can be viewed here: http://link.springer.com/journal/12559/7/6/ This comprises a Special Issue titled: "Dealing with Big Data-Lessons from Cognitive Computing" (the Guest Editorial is available for free download here: http://link.springer.com/article/10.1007/s12559-015-9364-6). This is followed by seven regular papers, including an invited paper by Hojjat Adeli et al. titled: "Nature Inspired Computing: An Overview and Some Future Directions" (free download available here: http://link.springer.com/article/10.1007/s12559-015-9370-8) The full listing of Vol. 8, No.1 / February 2016, can be viewed here: http://link.springer.com/journal/12559/8/1/ This comprises an invited paper by Ron Sun et al. titled: "Emotion: A Unified Mechanistic Interpretation from a Cognitive Architecture" (this is available for free download here: http://link.springer.com/content/pdf/10.1007%2Fs12559-015-93 74-4.pdf). This is followed by eight regular papers. The full listing of Vol. 8, No. 2 / April 2016, can be viewed here: http://link.springer.com/journal/12559/8/2/ This comprises two invited papers, the first by Yew-Soon Ong et al. (titled: Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking) and the second by Zidong Wang et al. (titled: A Novel Switching Delayed PSO Algorithm for Estimating Unknown Parameters of Lateral Flow Immunoassay). These are followed by 10 regular papers, and finally a Special Issue titled: "Cognitively-Inspired Computing for Gerontechnology" (comprising five manuscripts, with the Guest Editorial available for free download here: http://link.springer.com/content/pdf/10.1007%2Fs12559-016-9392-x.pdf). The full listing of Vol. 8, No.3 / June 2016, can be viewed here: http://link.springer.com/journal/12559/8/3/ This Issue comprises two Open Access invited papers, the first by Hussein Abbass et al. (titled: "Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges", available for free download from: http://link.springer.com/article/10.1007/s12559-015-93 65-5), and the second by Kevin Warwick et al. (titled: "Passing the Turing Test Does Not Mean the End of Humanity", available for free download from: http://link.springer.com/article/10.1007/s12559-015-9372-6). These are followed by 10 regular papers. The full listing of Vol. 8 No.4 / Aug 2016 can be viewed here: http://link.springer.com/journal/12559/8/4/ This Issue comprises an OPEN ACCESS invited paper, by Yiyu Yao (titled: Three-Way Decisions and Cognitive Computing, available for free download from: http://link.springer.com/article/10.1007/s12559-016-9397-5?view=classic ). This is followed by 16 regular papers. The full listing of Vol. 8 No. 5 / Oct 2016 can be viewed here: http://link.springer.com/journal/12559/8/5/ This Issue comprises a Special Issue on: Advances in Brain-Inspired Cognitive Systems (BICS), including a selection of 18 papers. The Guest Editorial (by Bin Luo, Amir Hussain, Mufti Mahmud and Jin Tang) is available for free download from: http://link.springer. com/article/10.1007/s12559-016-9431-7 The full listing of Vol. 8 No. 6 / Dec 2016 can be viewed here: http://link.springer.com/journal/12559/8/6/ The full listing of Vol. 9 No. 1 / Feb 2017 can be viewed here: http://link.springer.com/journal/12559/9/1/ -- 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 aurel at ee.columbia.edu Wed Dec 27 10:01:41 2017 From: aurel at ee.columbia.edu (Aurel A. Lazar) Date: Wed, 27 Dec 2017 10:01:41 -0500 Subject: Connectionists: Columbia Workshop on Brain Circuits, Memory and Computation 2018 Message-ID: <637598E5-CCA7-43A1-B32C-A09700E2E302@ee.columbia.edu> Columbia Workshop on Brain Circuits, Memory and Computation 2018 BCMC 2018 March 15-16, 2018 Center for Neural Engineering and Computation Columbia University, New York, NY, USA Overview The goal of the workshop is to bring together researchers interested in developing executable models of neural computation/processing of the brain of model organisms. Of interest are models of computation that consist of elementary units of processing using brain circuits and memory elements. Elementary units of computation/processing include population encoding/decoding circuits with biophysically-grounded neuron models, non-linear dendritic processors for motion detection/direction selectivity, spike processing and pattern recognition neural circuits, movement control and decision-making circuits, etc. Memory units include models of spatio-temporal memory circuits, circuit models for memory access and storage, etc. A major aim of the workshop is to explore the integration of various sensory and control circuits in higher brain centers. A Fruit Fly Brain Hackathon is being conducted in conjunction with the workshop. Workshop participants are welcome to attend the hackathon. Registration Registration is free but all participants have to register . Thank you! Organizer and Program Chair Aurel A. Lazar , Department of Electrical Engineering, Columbia University. Program Overview (Confirmed Speakers) Misha B. Ahrens , Janelia Research Campus, Ashburn, VA. Davi Bock , Janelia Research Campus, Ashburn, VA. Claude Desplan , Department of Biology, New York University. Mark A. Frye , Department of Integrative Biology and Physiology, University of California, Los Angeles. C. Giovanni Galizia , Department of Biology, University of Konstanz. Maria N. Geffen , Department of Otorhinolaryngology and Department of Neuroscience, University of Pennsylvania. Hokto Kazama , Riken Brain Science Institute, Tokyo. Donggen Luo , McGovern Institute for Brain Research, Peking University, Beijing. Thomas Nowotny , Department of Informatics, University of Sussex. Pavan Ramdya , Brain Mind Institute, EPFL, Lausanne. Aravinthan D.T. Samuel , Department of Physics and Center for Brain Science, Harvard University. Simon G. Sprecher , Department of Biology, University of Fribourg. Seth Tomchik , The Scripps Research Institute Florida. Joshua T. Vogelstein , Dept. of Biomedical Engineering and Institute for Computational Medicine, Johns Hopkins University. Scott Waddell , Department of Physiology, Anatomy and Genetics, University of Oxford. Anthony M. Zador , Cold Spring Harbor Laboratory. Aurel http://www.bionet.ee.columbia.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtista at gmail.com Wed Dec 27 12:17:54 2017 From: mtista at gmail.com (Massimo Tistarelli) Date: Wed, 27 Dec 2017 17:17:54 +0000 Subject: Connectionists: Call for applications - 15th Int.l Summer School on Biometrics 2018 In-Reply-To: References: Message-ID: ?? Please accept our sincere apologies for receiving multiple copies of this announcement ?? *15th IAPR/Eurasip Int.l Summer School for Advanced Studies onBiometrics for Secure Authentication:* * ASSURING TRUSTWORTHINESS OF BIOMETRICS* * Alghero, Italy - June, 11-15 2018* Technically co-sponsored by the IEEE Biometrics Council *Contact:* tista at uniss.it http://biometrics.uniss.it *APPLICATION DEADLINE:* February 15th 2018 (download the application form at: http://biometrics.uniss.it) >From the early days, when security was the driving force behind biometric research, today?s challenges go far beyond security. Machine learning, Image understanding, Signal analysis, Neuroscience, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today ?Biometrics?. *For the last fifteen years, the International Summer School on Biometrics has been closely following the developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art.* What are the most up-to-date core biometric technologies developed in the field? What is the potential impact of biometrics in forensic investigation and crime prevention? How to detect impersonation attacks and disguise? What can we learn from human perception? What is a *biometric recognition system*? This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 15th edition, the courses will mainly focus on new and emerging issues: ? *How Biometrics can deal with impersonation and disguise;* ? *How to exploit new biometric technologies in forensic and security applications;* ? *Evaluation and assessment of biometric and forensic applications.* ? *Biometrics, Forensic identification and advanced research: What is next?* The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry. *An advanced feature of this summer school will be some practical sessions to better understand, ?hands on?, the real potential of today?s biometric technologies.* *The school will be held in conjunction with the Int.l Worskshop on Biometrics and Forensics (IWBF 2018 ? June 7,8 2018 ? http://iwbf2018.uniss.it )* *Participant application* The school will be open to about 50 highly qualified, motivated and pre-selected applicants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. The expected school fees will be in the order of 1,500 ? for Phd students and 2,000 ? for others (subject to change). The fees will include full board accommodation, all courses and handling material. *A limited number of scholarships, covering a portion of the fees, will be awarded to Phd students*, selected on the basis of their scientific background and on-going research work. Precedence will be given to members of the EU H2020 IDENTITY consortium, and active members of IAPR and IEEE. The scholarship request form can be downloaded from the school web site *http://biometrics.uniss.it* . Phd students, researchers and post-docs are encouraged to submit a short paper (6 pages maximum) for an oral presentation on their recent research activity. Poster boards will be also available to all participants to display their current research advances. Participants to the school will be entitled to a specially reduced fees to attend IWBF 2018. Send a filled application form (download from http://biometrics.uniss.it) together with a short curriculum vitae to: *Prof. Massimo Tistarelli ?* e-mail: *biometricsummerschool at gmail.com* *Advance pre-registration is strictly required by February 15th **2018* *School location* The school will be hosted by Hotel El Faro (*http://www.elfarohotel.it/* ) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean sea. The property is beautifully immersed into the Capo Caccia bay. The hotel El Faro has a recently renovated conference center, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. *School Committee:* *Massimo Tistarelli* Computer Vision Laboratory ? University of Sassari, Italy *Josef Bigun * Department of Computer Science ? Halmstad University, Sweden *Enrico Grosso* Computer Vision Laboratory ? University of Sassari, Italy *Anil K. Jain* Biometrics laboratori ? Michigan State University, USA *Distinguished lecturers from past school editions* *Josef **Bigun* Halmstad University ? Sweden *Aldo Mattei* Arma dei Carabinieri ? Italy *Thirimachos Bourlai* West Virginia University ? USA *David Meuwly* Netherlands Forensic Institute ? NL *Vincent Bouatou* Safran Morpho ? France *Emilio Mordini MD* Responsible Technologies ? Italy *Deepak Chandra * Google Inc. ? USA *Mark Nixon* University of Southampton ? UK *Rama Chellappa* University of Maryland ? USA *Alice O?Toole* University of Texas ? USA *John Daugman* University of Cambridge ? UK *Maja Pantic* Imperial College ? UK *Farzin Deravi* University of Kent ? UK *Jonhaton Phillips* NIST ? USA *James Haxby* Dartmouth University ? USA *Arun Ross* Michigan State University ? USA *Anil K. Jain* Michigan State University ? USA *Tieniu Tan * CASIA-NLPR ? China *Joseph Kittler* University of Surrey ? UK *Massimo Tistarelli* Universit? di Sassari ? Italy *Davide Maltoni* Universit? di Bologna ? Italy *Alessandro Verri* Universit? di Genova ? Italy *John Mason* Swansea University ? UK *James Wayman* University of San Jos? ? USA -- Sent from Gmail Mobile -- Sent from Gmail Mobile -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Wed Dec 27 14:19:00 2017 From: jimtoer at ifi.uio.no (=?utf-8?Q?Jim_T=C3=B8rresen?=) Date: Wed, 27 Dec 2017 20:19:00 +0100 Subject: Connectionists: Fully funded PhD + Postdoc positions in AI/ML on Rhythm at University of Oslo, Norway Message-ID: We are happy to announce several Doctoral and Postdoctoral Research Fellowships at the new RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion? at the University of Oslo within artificial intelligence, machine learning and robotics: Doctoral Research Fellowships in Artificial Intelligence on Musical/Human/Robotic Rhythm (1-2 positions) The PhD fellow(s) will carry out research on artificial intelligence methods to be used in (1) the analysis of human/musical rhythm and/or (2) synthesis of rhythms in robotic systems. The project(s) may therefore range from focusing more on theoretical development and computer-based testing, to focusing more on developing machine systems (simulation and robots) that can interact rhythmically with each other and with humans. Postdoctoral Research Fellowship in Machine Learning on Time Series Data The postdoctoral fellow will carry out research on novel machine learning methods for the analysis of time series data relevant for RITMO. This includes a large range of different data types, including audio/video recordings, data from motion and eye tracking systems, physiological sensors, and brain imaging. Postdoctoral Research Fellowship in Music Information Retrieval The postdoctoral fellow will carry out research in music information retrieval on audio recordings, with a particular focus on temporal/rhythmic structures of large-scale musical works. It will also be relevant to combine audio-based analyses with musical score analysis and multimodal analysis of human time series data. RITMO is a new Centre of Excellence funded by the Research Council of Norway. All RITMO researchers will be co-located and work in a unique interdisciplinary constellation, with world-leading competence in musicology, psychology and informatics. Read more about RITMO . Application deadline: 31 January 2018 Contact: Head of Administration Ancha Wesnes Please circulate through your networks and forward to relevant candidates. Apologies for cross posting. Best, Jim Torresen Professor Department of Informatics University of Oslo Cluster leader and Principle Investigator, RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion -------------- next part -------------- An HTML attachment was scrubbed... URL: From mathieu.daquin at insight-centre.org Thu Dec 28 08:51:52 2017 From: mathieu.daquin at insight-centre.org (Mathieu D'Aquin) Date: Thu, 28 Dec 2017 13:51:52 +0000 Subject: Connectionists: CFP: Re-Coding Black Mirror at WWW 2018 Message-ID: Call for papers Re-coding Black Mirror-https://kmitd.github.io/recoding-black-mirror/ One day workshop, The Web Conference, WWW 2018 24 April 2018, Lyon =====MOTIVATION===== Black Mirror is a British sci-fi series directed by Charlie Brooker portraying a dystopian future emanating from the wide use of digital advancements. Even though Black Mirror?s episodes do not entirely rely on the widespread availability of existing technology, some of the advancements presented are not from such a distant future. The ethical and social implications emerging from the increasing reliance on digital media (partly depicted in the series) has been a longstanding debate in critical studies underlying issues around privacy, social control, social and individual justice and other key values around Democracy such as freedom of speech. Computer science has picked up on such kind of issues focusing mainly on privacy offering technical solutions such as privacy by design and encryption amongst other tools. =====FORMAT===== Re-coding Black Mirror is an one-day workshop which aims at creating dialogue and connections between computer, data and social scientists that are interested in the societal and ethical implications of web technologies. In order to address emerging social phenomena from different perspectives, the workshop employs a novel interactive format, where researchers are invited to create futuristic scenarios as the ones depicted in Black Mirror, exploring the potential societal and ethical concerns of their own research. It will also be a forum for raising opportunities of networking with scholars from different fields to explore novel research problems that can be relevant to both the web and social science communities. =====TOPICS===== Given the novelty of the workshop format, we welcome submissions addressing two different issues, as explained in the brief summaries below. Possible submissions are not restricted to those examples, but works addressing those scenarios would be very much welcome too. You can also look at the submissions of the Re-coding Black Mirror 2017 edition [2]. (1) Works showing how the ongoing research in the web community could enable/lead to scenarios similar to the ones presented in Black Mirror episodes. For example: * How could advances in natural language processing and social media analysis enable the creation of a bot mimicking the personality of a dead person based on their available information online? (S02E01) * How could web technologies be used to integrate information about another person from multiple online sources (digital footprinting), providing a mean for stalking or even blackmailing them? (S03E03) (2) Works showing how the ongoing research in the web community could prevent/minimise risks such as the ones depicted in Black Mirror episodes. For example: * How could web technologies be designed to prevent the abuse of user ratings based on the relations between people and information about their network/context? (S03E01) * How could content and network analysis be used to reduce or counter the spread of hate on social media? (S03E06) =====SUBMISSION===== Please submit your contribution to the workshop by February 10th (23:59 Hawaii time) through the easychair system [1], choosing the track "#RCBlackMirror2018: Re-Coding Black Mirror Workshop" under the WWW2018Satellites conference. We accept three categories of submissions: * Full papers (max 8 pages) on research and applied technologies, * Short papers (max 4 pages) about visions and positions on forthcoming challenges, * Abstracts (max 2 pages) on the societal and ethical risks of the aforementioned technologies. All papers should be formatted using the ACM template (Latex [3] and Word template [4] accepted). We expect each paper to take as a starting point one futuristic scenario, either directly from Black Mirror or of a similar nature, as motivation for the work presented. =====ORGANISERS===== * PINELOPI TROULLINOU, Knowledge Media Institute, The Open University, UK * MATHIEU D'AQUIN, Insight Centre for Data Analytics, NUI Galway, Ireland * ILARIA TIDDI, Knowledge Media Institute, The Open University, UK [1]https://easychair.org/conferences/?conf=www2018satellites (New submission -> Track "#RCBlackMirror2018: Re-Coding Black Mirror Workshop") [2]http://ceur-ws.org/Vol-1939/ [3] https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-master.zip [4]https://portalparts.acm.org/hippo/acm_windows_word_template.zip -------------- next part -------------- An HTML attachment was scrubbed... URL: From lciti at essex.ac.uk Thu Dec 28 18:06:46 2017 From: lciti at essex.ac.uk (Luca Citi) Date: Thu, 28 Dec 2017 23:06:46 +0000 Subject: Connectionists: JOB: Post-doc in Biomedical Signal Processing and Machine Learning Message-ID: <055fc3bc-f816-7445-0ce5-03c8839642dc@essex.ac.uk> Postdoctoral Research Associate in Biomedical Signal Processing and Machine Learning University of Essex - School of Computer Science and Electronic Engineering The Essex BCI and Neural Engineering Lab is pleased to announce this postdoctoral position in the Horizon 2020 project "NEVERMIND: Neuro-behavioural predictive and personalised modelling of depressive symptoms during primary somatic diseases with ICT-enabled self-management procedures". The project started approximately 2 years ago and has 2 more years to run. Web site: http://www.nevermindproject.eu/ The Essex team is leading the development of the real-time decision support system. Physiological data, along with sleep and speech analysis, are combined with social interaction monitoring, mood agenda and questionnaire scores to evaluate all the aspects of patients (psychological, physical, and social) as a whole with the aim of predicting the severity and onset of depressive symptoms (see for example http://bit.ly/2B5Fg17 ). The successful applicant will investigate and develop advanced signal processing and machine learning algorithms for prediction purposes. The ideal candidate will have received a PhD in Biomedical Engineering, Electronic Engineering, Computer Science or a closely related discipline, and is expected to have significant experience of biomedical signal processing and machine learning techniques. Applicants are also expected to have a strong publication record as first author, ideally including publications in 1st quartile journals in relevant areas. Appointment will be made as Senior Research Officer. Salary: ?32,548 to ?34,521 per annum Duration: Fixed-Term until December 2019 Closes: 4th January 2018 Job Ref: REQ01062 Further information and application instructions: http://www.jobs.ac.uk/job/BGH330/postdoctoral-research-associate-senior-research-officer/ http://www.essex.ac.uk/hr-jobpacks/science_health-csee/REQ01062_Jobpack.pdf For further information and inquiries, please contact Dr Luca Citi lciti at essex.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Fri Dec 29 03:27:34 2017 From: jimtoer at ifi.uio.no (=?utf-8?Q?Jim_T=C3=B8rresen?=) Date: Fri, 29 Dec 2017 09:27:34 +0100 Subject: Connectionists: Call for papers: Special session on Sensing and Predicting Human Mental and Medical State at WCCI-IJCNN (Rio de Janeiro, 8-13, July 2018) Message-ID: <9067DC26-00CF-4928-875E-AF5F14744514@mail.uio.no> [Apologies if you receive multiple copies of this CFP] Call for papers: Computational Intelligence for Sensing and Predicting Human Mental and Medical State (CI-SEPHUMMES) Cross-Disciplinary Special session at 2018 IEEE World Congress on Computational Intelligence (WCCI) Special session Web page: https://sites.google.com/site/wcci2018sephummes 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/ Paper submission deadline: 15 January 2018 Organizers Jim Torresen , University of Oslo, Norway Enrique Garcia Ceja , University of Oslo, Norway Dante Barone , Federal University of Rio Grande do Sul, Brazil Description Computational intelligence techniques have shown to be effective in classifying human mental and medical state. This is useful for a number of applications including within mental health treatment technology and systems for monitoring and notifying about irregular medical state of elderly people living alone at home. Many different kinds of sensing technologies are relevant including sensors available in smartphones, sensor watches and ambient sensors. Scope and Topics The aim of the special session is to provide a forum to disseminate and discuss recent and significant research within applying computation intelligence to classify, model and predict future human mental and medical state. We invite interested authors to submit their original and unpublished work to this special session. Topics of interest within the given application domain for the special session include (but are not limited to): ? Ambient assisted living ? Ambient sensor systems ? Contributions and Applications of Computational Neuroscience ? Data analytics and visualization ? Emotion detection ? Medical state classification and forecasting ? Mental disorders state classification and forecasting ? Mobile sensing ? Multi-sensor fusion ? On-body sensor systems ? Privacy in human monitoring ? Remote sensing and monitoring ? Robot companion sensing ? Sensitive data collection and storage ? Sensor networks ? Smart home technologies ? Temporal data analysis ? Time series modeling and forecasting Submitted papers will be reviewed according to the IJCNN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style. Accepted and presented papers will be published under the IJCNN 2018 proceedings. However, as a cross-disciplinary and CI applications oriented special session, cross-disciplinary work involving Fuzzy and Evolutionary learning is encouraged. For paper guidelines please visit www.ecomp.poli.br/~wcci2018/submissions/#guidelines > and for submissions please visit http://ieee-cis.org/conferences/ijcnn2018/upload.php and select "CDSS-23. Special Session special session on Computational Intelligence for Sensing and Predicting Human Mental and Medical State" as the Main research topic. IMPORTANT DATES: Paper submission: 15th January 2018 Paper acceptance: 15th March 2018 Final paper submission: 1st May 2018 Early registration: 1st May 2018 IEEE WCCI 2018 conference: 8-13 July 2018 Best regards, Jim Jim Torresen Professor Department of Informatics University of Oslo PO Box 1080 Blindern N-0316 Oslo ==================== E-mail: jimtoer at ifi.uio.no Phone: +47 2285 2454 Mobile: + 47 9284 6669 http://people.uio.no/jimtoer -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Sat Dec 30 05:40:20 2017 From: mpavone at dmi.unict.it (Mario Pavone) Date: Sat, 30 Dec 2017 11:40:20 +0100 Subject: Connectionists: MESS 2018 - from Design to Implementation - Taormina, Italy, 21-25 July 2018 Message-ID: <20171230114020.Horde.XbPpO_ph4B9aR20UPhIDwBA@mbox.dmi.unict.it> 1st Call for Participation (apologies for multiple copies) ----------------------------------------------------------------------- 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 + Juergen Branke, Warwick Business School, UK + Salvatore Greco, University of Catania, Italy & University of Portsmouth, UK + Yaochu Jin, University of Surrey, UK + Gunther Raidl, Technische Universitat Wien, Austria + Helena Ramalhinho Lourenco, Universitat Pompeu Fabra, Spain + Celso Ribeiro, Universidade Federal Fluminense, Brazil + El-Ghazali Talbi, University of Lille 1, France + Daniele Vigo, University of Bologna, Italy More Speakers will be announced soon!! ** 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*. ** Metaheuristics Competition All students of the school will be invited to the ?Metaheuristics Competition?, where each of them, divided in working groups, will develop a metaheuristic solution on a given problem. ** Certificate: Participants will be delivered a certificate of attendance indicating the number of hours of lectures. ** 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 iswc2018 at gmail.com Sat Dec 30 11:20:05 2017 From: iswc2018 at gmail.com (Maribel Acosta) Date: Sat, 30 Dec 2017 17:20:05 +0100 Subject: Connectionists: ISWC 2018 - Important Dates and Keynote Speakers Message-ID: While wishing you a happy and prosperous new year, we would like to add some important dates to your calendar for the new year. Get ready for the 17th International Semantic Web Conference (ISWC 2018)! Monterey, California (USA), from October 8-12, 2018 ISWC is the premier venue for presenting innovative systems and research results related to the Semantic Web and Linked Data, attracting a large number of high quality submissions every year and participants from both industry and academia. ISWC brings together researchers from different areas, such as artificial intelligence, databases, natural language processing, information systems, human computer interaction, information retrieval, web science, etc., who investigate, develop and use novel methods and technologies for accessing, interpreting and using information on the Web in a more effective way. Website: http://iswc2018.semanticweb.org Facebook: https://www.facebook.com/groups/InternationalSemanticWebConference Twitter: @iswc2018 (https://twitter.com/iswc2018) In this announcement: 1. Keynote Speakers 2. Important Dates 1.Keynote Speakers ========================================== ISWC 2018 is delighted to confirm the following keynote speakers: * Jennifer Golbeck (University of Maryland, USA) * Natasha Noy (Google, USA) * Vanessa Evers (University of Twente, Netherlands) More information coming soon: http://iswc2018.semanticweb.org/speakers/ 2. Important Dates ========================================== Workshop & Tutorial proposals January 21, 2018 Workshop & Tutorial proposals notifications February 15, 2018 Abstracts (Research, In-use, Resource tracks) March 30, 2018 Papers (Research, In-use, Resource tracks) April 6, 2018 Doctoral Consortium submissions April 13, 2018 Author rebuttal phase (Research, In-use, Resource tracks) May 7-11, 2018 Doctoral Consortium notifications May 14, 2018 Paper notifications (Research, In-use, Resource tracks) May 25, 2018 Doctoral Consortium camera-ready submissions May 28, 2018 Industry papers June 1, 2018 Workshop papers June 1, 2018 End of Early Registration period June 1, 2018 Poster & Demo submissions June 8, 2018 Camera-ready papers (Research, In-use, Resource tracks) June 15, 2018 Industry papers notifications June 22, 2018 Poster & Demo notifications sent July 13, 2018 Workshop papers notifications July 13, 2018 End of Standard Registration period July 15, 2018 Industry camera-ready papers July 20, 2018 Poster & Demo camera-ready submissions July 24, 2018 Workshops & Tutorials October 8-9, 2018 Conference October 10-12, 2018 Happy holidays! The ISWC Organising Committee (http://iswc2018.semanticweb.org/organization/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From cchrist at cs.ucy.ac.cy Sun Dec 31 05:54:04 2017 From: cchrist at cs.ucy.ac.cy (Chris Christodoulou) Date: Sun, 31 Dec 2017 12:54:04 +0200 Subject: Connectionists: BioSystems - Special Issue on Neural Coding 2016 (Vol. 161, November 2017) Message-ID: <4b9f96be-3916-ceea-76e2-3ab8829b34f8@cs.ucy.ac.cy> Dear Colleagues, We would like to announce a /BioSystems/ Special Issue on Neural Coding: /BioSystems/ -- Volume 161 - November 2017 Available online for download now from: https://www.sciencedirect.com/science/journal/03032647/161/supp/C?sdc=1 The Table of Contents of this special issue can be seen at the end of this email. Best wishes for a happy new year, Guest Editors Chris Christodoulou, Lubomir Kostal and Angar B?schges ------------------------------------------------------------------------------------------------------------ /BioSystems/ - Contents -- Volume 161 - November 2017 Special Issue: Neural Coding 2016 (Selected papers presented at the Twelventh International Workshop on Neural Coding, Cologne, Germany, 2016) Available online for download now from: https://www.sciencedirect.com/science/journal/03032647/161/supp/C?sdc=1 Editorial/ /Chris Christodoulou, Lubomir Kostal and Angar B?schges/ /To swim or not to swim: A population-level model of Xenopus tadpole decision making and locomotor behaviour Roman Borisyuk, Robert Merrison-Hort, Steve R. Soffe, Stella Koutsikou, Wen-Chang Li Linked Gauss-Diffusion processes for modeling a finite-size neuronal network M. F. Carfora, E. Pirozzi Information reduction in a reverberatory neuronal network through convergence to complex oscillatory firing patterns A. Vidybida, O. Shchur Efficiency of rate and latency coding with respect to metabolic cost and time Marie Levakova A single spike deteriorates synaptic conductance estimation Ryota Kobayashi, Hiroshi Nishimaru, Hisao Nishijo, Petr Lansky Synchrony measure for a neuron driven by excitatory and inhibitory inputs and its adaptation to experimentally-recorded data Christina Zavou, Antria Kkoushi, Achilleas Koutsou, Chris Christodoulou Dynamical properties of LFPs from mice with unilateral injection of TeNT Eleonora Vannini, Matteo Caleo, Santi Chillemi, Angelo Di Garbo Functional data analysis of single-trial auditory evoked potentials recorded in the awake rat Ond?ej Pokora, Jan Kol??ek, Tzai-Wen Chiu, Wei Qiu // -------------- next part -------------- An HTML attachment was scrubbed... URL: From dengdehao at gmail.com Sun Dec 31 19:31:33 2017 From: dengdehao at gmail.com (Teng Teck Hou) Date: Mon, 1 Jan 2018 08:31:33 +0800 Subject: Connectionists: [INNS-BDDL 2018] Extension of paper submission deadline to Friday, 5th January 2018 Message-ID: <5a498166.4f04630a.86700.3f89@mx.google.com> [Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3rd INNS Conference on Big Data and Deep Learning (INNS BDDL) will be held Tuesday through Thursday, April 17 ? 19, 2018 at the Grand Inna Bali Beach hotel, Sanur, Bali, Indonesia. The INNS BDDL conference aims to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning." Accepted and presented papers will be published in Procedia Computer Science indexed by Scopus. Several papers will be selected for possible publication in a high-quality journal. A preliminary list of such journals includes: - Cognitive Systems Research (Scopus SJR 0.648, Impact Factor 1.182) - Cognitive Computation (Scopus SJR 0.823, Impact Factor 3.441) - Big Data Analytics - Evolving Systems (Scopus SJR 0.459, Impact Factor 1.067) - International Journal of Neural Systems (Scopus SJR 1.121, Impact Factor 6.333) - and possibly others Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas ####################Important Dates################################# * Tutorial and workshop proposals (Submission) ?30 September 2017 * Tutorial and workshop proposals (Decision) ? 7 October 2017 * Paper submission ???? 5 January 2018 * Decision notification???? 31 January 2018 * Camera-ready submission??? 20 February 2018 * Conference????? 17 - 19 April 2018 ################################################################### #########################Keynote Speakers########################## * Prof. Geoffrey I. Webb, Monash University, Australia * Prof. Kay Chen Tan, City University, Hong Kong * Dr. Ir. Ari Santoso, Ministry of Education and Culture ################################################################### #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Honorary Board Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontif?cia Universidade Cat?lica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong Kong Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Noor Akhmad Setiawan, Universitas Gadjah Mada, Indonesia Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Ali Ridho Barakbah, Politeknik Elektronika Negeri Surabaya, Indonesia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Alfian Futhul Hadi, Universitas Jember, Indonesia Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Kurnianingsih, Politeknik Negeri Semarang, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Za?in, La Trobe University, Australia ########################################################## ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization? >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ############################################################################ ##########################Sponsoring Organizations################# * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ################################################################ Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From naotsu at gmail.com Sun Dec 31 20:52:12 2017 From: naotsu at gmail.com (Naotsugu Tsuchiya) Date: Mon, 1 Jan 2018 12:52:12 +1100 Subject: Connectionists: Analysis of human intracranial recordings using integrated information: (up to) 3 year postdoc in Melbourne, Australia Message-ID: Postdoc position available (up to 3 years) at Monash Neuroscience of Consciousness (MoNoC), Monash University, Melbourne, Australia. We are seeking outstanding postdoctoral research fellows with strong skills in computational or mathematical neuroscience, whose research ambition is to identify the physical substrate of conscious experience. If you are successful, you will work in Tsuchiya's lab at Monash, on our two Australian Research Council (ARC) Discovery Project grants (2018-2020). Both projects will involve the analysis of intracranial neural recordings from multiple brain areas, which are simultaneously recorded, and conscious experience is also characterised. In one of the projects, you will develop mathematical tools and apply the tools to empirically test predictions from "integrated information theory of consciousness" (Tononi 2004 BMC, 2016 NRN). For the overall idea of the project, please see Haun et al 2017 eNeuro, Oizumi et al 2016 PLoS Comp & PNAS). You will work both independently and collaboratively with multiple PIs. Starting date is relatively flexible. Late-stage PhD students will be considered (only those with substantial publication records). If you are interested, please send your CV to Nao Tsuchiya . Strong candidates will be contacted through emails and interviews. Applications will be open until the ideal candidate is identified. Thank you Nao -- -- *Nao (Naotsugu) Tsuchiya* Associate Professor *Monash Institute of Cognitive and Clinical Neurosciences* Attention and Memory Program School of Psychological Sciences Monash University 770 Blackburn Monash Brain Imaging facility, Clayton, VIC 3800 Australia T: +61 3 9905 4564 <+61%203%209905%204564> E: naotsugu.tsuchiya at monash.edu W: homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage http://med.monash.edu.au/psych/email-sig/miccn-email-sig.jpg 2. ARC Future Fellow 3. Visiting Researcher at Department of Dynamic Brain Imaging, Advanced Telecommunications Research (ATR), Japan 4. Visiting Researcher at CiNet, Osaka University, Japan orcid.org/0000-0003-4216-8701 -- -------------- next part -------------- An HTML attachment was scrubbed... URL: