From m.okun at leicester.ac.uk Tue Aug 1 04:06:16 2017 From: m.okun at leicester.ac.uk (Okun, Michael (Dr.)) Date: Tue, 1 Aug 2017 08:06:16 +0000 Subject: Connectionists: Postdoctoral position: cortical microcircuit dynamics In-Reply-To: References: , , , , Message-ID: Applications are invited for a postdoctoral position to carry out research on cortical microcircuit dynamics. Research will involve analysis and modelling of cortical population recordings, focusing on changes occurring in the infraslow frequencies (0.01 - 1 Hz). The position is at the Centre for Systems Neuroscience, University of Leicester, UK. The project will involve advanced computational and experimental approaches - our experimental facilities include in vivo electrophysiology and 2-photon microscopy setups. Additional details on the PI and the Centre can be found at www2.le.ac.uk/departments/npb/people/mo178 and www.le.ac.uk/csn An ideal applicant would have a quantitative background and strong computational, programming and statistical skills (e.g. a PhD in computational/systems neuroscience, applied mathematics, computer science or related subjects). Previous experience in systems neuroscience research is a significant advantage. Start date is flexible and candidates will be considered on a rolling basis, however anyone applying before 14th of September is guaranteed to be considered. Funding for this position is available for (at least) 3 years. Leicester has a large student community thanks to its two universities, and is within easy reach (~1 hour by train) of London, Birmingham and Sheffield. Interested applicants are most welcome to contact Michael Okun (m.okun at le.ac.uk). From Alon.Korngreen at biu.ac.il Tue Aug 1 03:58:55 2017 From: Alon.Korngreen at biu.ac.il (Alon Korngreen) Date: Tue, 1 Aug 2017 07:58:55 +0000 Subject: Connectionists: International workshop on the computational properties of basal ganglia neurons Message-ID: We are thrilled to announce the International workshop on the computational properties of basal ganglia neurons. The basal ganglia play a key role in normal behavior and multiple pathologies such as Parkinson?s disease, dystonia, Tourette syndrome and others. There is a growing interest in the impact of intrinsic properties of basal ganglia neurons on the computational transformation of information of sub-cellular compartments, single neurons, and neuronal networks. The major difficulty in assessing the contribution of intrinsic neuronal properties to computation is the need to safely transverse several levels of neuronal computation without losing key properties of the system. The workshop aims to bring together a multidisciplinary group of experimental and theoretical neuroscientists for a series of lectures and discussions focusing on the computational properties of basal ganglia neurons. Furthermore, the workshop aims to link the basic properties of the neuronal elements of the basal ganglia with the behavioral and clinical outcome of both normal and pathological computation. The workshop will be held in the Gonda brain center between December 4th and 6th 2017. Preliminary program, list of speakers and a registration form can be found at the conference web page at https://korngreen.wixsite.com/bgws2017 . Yours, Izhar Bar-Gad and Alon Korngreen Prof. Alon Korngreen The Mina and Everard Goodman Faculty of life Sciences The Gonda Brain Research Center Bar-Ilan University Ramat-Gan, 5290002 Israel Phone: 00972-3-5318224 Fax: 00972-3-5352184 http://www.korngreenlab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From melahi at kth.se Tue Aug 1 08:11:00 2017 From: melahi at kth.se (Mehdi Elahi) Date: Tue, 1 Aug 2017 12:11:00 +0000 Subject: Connectionists: New Dataset of MPEG7 Visual Features for ~4000 Movie Trailers In-Reply-To: <5F0BC536-9088-4FBA-9479-10BE4B3CA9D9@kth.se> References: <4128DE33-39D8-4C45-B42D-C2E35B69619F@kth.se> <5F0BC536-9088-4FBA-9479-10BE4B3CA9D9@kth.se> Message-ID: <26F71C1F-536E-4233-9430-B2E85B184C40@kth.se> DATASET RELEASE ======================================================================================= We are delighted to announce the release of MPEG-7 Mise-en-Sc?ne Dataset: Standard Visual Features of Movie Trailers This dataset is intended to serve the community for research on multimedia retrieval, multimedia recommender systems, and computer vision. SUMMARY ======================================================================================= This dataset provides MPEG-7 Color and Texture descriptors (length of 774), extracted from ~4000 movie trailers. The movie IDs are in agreement with the movie IDs provided by another movie rating dataset, that contains millions of ratings and thousands of tags (visit the download links for more details). A comparison of these features with the other low-level visual features can be found here: https://arxiv.org/abs/1704.06109 DOWNLOAD ======================================================================================= Description: https://www.researchgate.net/publication/317038216_Mise-en-Scene_Dataset_MPEG-7_Visual_Features_of_Movie_Trailers_description Dataset: https://www.researchgate.net/publication/317038064_Mise-en-Scene_Dataset_MPEG-7_Visual_Features_of_Movie_Trailers_dataset -------------- next part -------------- An HTML attachment was scrubbed... URL: From lmarti at gmail.com Tue Aug 1 10:43:41 2017 From: lmarti at gmail.com (=?UTF-8?Q?Luis_Mart=C3=AD?=) Date: Tue, 1 Aug 2017 11:43:41 -0300 Subject: Connectionists: CBIC 2017 deadline extension (15.08.2017) Message-ID: Dear colleagues, Please disseminate to interested parties and apologies for multiple postings. All the best, LM XIII Brazilian Congress on Computational Intelligence (CBIC 2017) ----------------------------------------------------------------- Call for Papers - http://www.cbic2017.org On behalf of the organizing committee, it is our pleasure to invite you to the XIII Brazilian Congress on Computational Intelligence -XIII Congresso Brasileiro de Intelig?ncia Computacional- (CBIC 2017) that will take place at the Institute of Computing of the Universidade Federal Fluminense in Niter?i, Rio de Janeiro, Brazil from 30 October to 1 November 2017. CBIC 2017 aims to provide a high-level international forum for scientists, researchers, engineers, professionals, and educators to disseminate their latest research results and exchange views of the future research directions in the area of computational intelligence. In this edition of CBIC, we have the pleasure of having top-notch researchers as keynote speakers: - Marc Schoenauer (INRIA-Saclay/LRI/Universit? Paris-Saclay, France), - Jos? Manuel Molina L?pez (Universidad Carlos III de Madrid, Spain), and - Jos? A. Lozano (University of the Basque Country and Basque Center for Applied Mathematics, Basque Country, Spain). Paper submissions should be 10-12 pages long, written in English, Portuguese or Spanish using the Springer LNCS style. Topics of interest of CBIC are organized in three tracks (but not limited to them): - Evolutionary, swarm and nature-inspired computation: genetic algorithms, evolutionary multi-objective optimization, estimation of distribution algorithms, genetic programming, artificial immune systems, swarm intelligence, collective intelligence, evolvable hardware, bio-inspired methods, etc. - Neural and machine learning systems: artificial neural networks, deep learning, machine learning, molecular and quantum computing, complex networks, reinforcement learning, hybrid systems, etc. - Fuzzy and stochastic reasoning: fuzzy systems, fuzzy control and decision making, uncertainty analysis, rough sets, fractals, multi-agent systems, game theory, etc. For submission instructions and online submission forms go to http://www.cbic2017.org/Submissions. Important dates --------------- - Workshop and tutorial proposal deadline: 15.07.2017 UTC-12:00 - Workshop and tutorial acceptance notification: 30.07.2017 - Paper submission deadline (extended): 15.08.2017 UTC-12:00 - Paper acceptance notification: 01.09. 2017 - Registration opens: 07.09.2017 - Early registration ends: 01.10. 2017 UTC-12:00 - CBIC 2017 conference: 30.10 ? 01.112017 Looking forward to welcoming you in Niter?i, Luis Mart? - General Chair Nayat S?nchez-Pi - Program Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From mjhealy at unm.edu Tue Aug 1 20:14:13 2017 From: mjhealy at unm.edu (Michael Healy) Date: Wed, 2 Aug 2017 00:14:13 +0000 Subject: Connectionists: Technical Report on Episodic Memory Message-ID: Tom Caudell and I have a new technical report on the University of New Mexico digital repository. The recommended citation is Healy, Michael John MS and Thomas Preston Caudell PhD. "Episodic Memory via Spans and Cospans: A Hierarchy of Spatiotemporal Colimits." (2017). http://digitalrepository.unm.edu/ece_rpts/52 The download link is http://digitalrepository.unm.edu/cgi/viewcontent.cgi?article=1051&context=ece_rpts Regards, Mike Healy -------------- next part -------------- An HTML attachment was scrubbed... URL: From redish at umn.edu Tue Aug 1 13:30:58 2017 From: redish at umn.edu (David Redish) Date: Tue, 1 Aug 2017 12:30:58 -0500 Subject: Connectionists: New assistant professorship job in Decision Science at the University of Minnesota Message-ID: *Tenure-Track Assistant Professor * *Decision Sciences* *Department of Psychology* *University of Minnesota, College of Liberal Arts* The Cognitive and Brain Sciences area in the Psychology Department at the University of Minnesota invites applications for a full-time, tenure-track position in Decision Sciences to begin Fall semester 2018. The specific area of study is open, as long as it includes basic research on the processes by which individuals and/or groups make decisions or choose courses of action. Methods can be drawn from psychology, neuroscience, computation, and other domains. Successful candidates will demonstrate scholarly distinction and a commitment to undergraduate and graduate teaching. Review of applications begins September 15th, 2017 and will continue until the position is filled. Please apply online via the Employment System at: http://www1.umn.edu/ohr/employment/index.html referencing job posting ID 318471. -------------- next part -------------- An HTML attachment was scrubbed... URL: From srikanth.ramaswamy at epfl.ch Wed Aug 2 09:16:07 2017 From: srikanth.ramaswamy at epfl.ch (Ramaswamy Srikanth) Date: Wed, 2 Aug 2017 13:16:07 +0000 Subject: Connectionists: Neuromodulation of Neural Microcircuits NM2 Conference 2017 Message-ID: We are delighted to announce the upcoming Neuromodulation of Neural Microcircuits (NM2) Conference 2017. The NM2 Conference will be held at the EPFL, Lausanne, Switzerland on the 18th and 19th of Sep. 2017 and at the Campus Biotech in Geneva, Switzerland on the 20th of Sep. 2017. Neuromodulators dynamically reconfigure neural microcircuits and shape brain states by controlling the function of neurons and glia, dendrites, and synapses. NM2 will bring together world-leading experts to: ? Identify the state-of-the-art mechanisms of the neuromodulation of neural microcircuits ? Illuminate various strategies enabling the measurement of neuromodulatory states in brain health and disease ? Integrate knowledge to build a unifying view of the neuromodulation of different brain regions ? Inform and attract new talent to drive forward neuromodulation research ? Inspire future directions that will transform our understanding of the neuromodulation of brain function and dysfunction and therapeutic intervention NM2 has an exciting program with a stimulating lineup of speakers! Please mark your calendars to participate in shaping the future course of neuromodulatory research! Registration includes coffee breaks, lunch, refreshments and poster sessions. PhD. students and postdocs are particularly encouraged to apply for several travel awards by submitting poster abstracts. Some abstracts will be selected for flash talks. Early bird registration is open until August 15th, 2017. Abstract submission is open until August 13th, 2017. We look forward to welcoming you at NM2 in beautiful Switzerland! Best regards from the scientific committee of NM2, Srikanth Ramaswamy Henry Markram Mriganka Sur Anita Disney Menahem Segal Michael Hasselmo Seung-Hee Lee Alexander Thiele Amy Arnsten [cid:CCBC7D9D-9041-4146-88BA-CC744BDBB811 at epfl.ch] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 78961 bytes Desc: image001.jpg URL: From fbln at ecomp.poli.br Thu Aug 3 04:49:30 2017 From: fbln at ecomp.poli.br (Prof. Fernando Buarque) Date: Thu, 3 Aug 2017 11:49:30 +0300 Subject: Connectionists: ***REMINDER*** LA-CCI POSTGRADUATE PHD/MSC THESES CONTEST - ENTRIES ARE WELCOME UNTIL AUGUST 28th Message-ID: *2017 IEEE** - 4rd Latin-American Conference on Computational Intelligence* * (IEEE LA-CCI 2017)*Arequipa (close to Machu Picchu) ? Universidad Cat?lica San Pablo ? Peru. *November, 8-10th, 2017* *[**The 6-7th, prior, will be dedicated to the LA-School on CI**]* *Sponsored by the IEEE-CIS* *Supported by CI Societies/Groups from:* Argentina, Bolivia, Brazil, Chile, Colombia, Ecuador, Mexico, Peru(Host) and Venezuela *THE CONFERENCE WEBSITE LINK => http://la-cci.org/ * *FOR SUBMMITING YOUR ENTRY **=> **http://la-cci.org/contest-theses-2017/ * *Important Dates* -Submission of entry for the Contest: September 28th, 2017. -Author registration & Early registration: September 4th, 2017. -Regular registration: September 28th, 2017 and onwards. *List of Key - Speakers (**CONFIRMED**):* *1) Jos? Pr?ncipe *** **University of Florida (USA)* * * **Talk: ?Information Theoretic Deep Learning?* *2) Giuseppe Zollo * Universit? degli Studi di Napoli Federico II (Italy)* * * Talk: ?The Aesthetics of Complexity: how the mind computes the beauty?* *3) Tshilidzi Marwala * University of Johannesburg (South Africa)* * * Talk: ?The Challenges and Opportunities of Industry 4.0?* *4) Fernando Buarque de Lima Neto * Universidade de Pernambuco (Brazil)* * * Talk: ?Why Metaheuristics are so useful? * *5) Omar Florez * Intel Labs (USA)* * * Talk: ?From Machine Learning to Machine Understanding?* *6) Mike Preuss * University of M?nster (Germany) * * * Talk: ?Novel developments in CI and Games?* *7) Pablo Estevez * Universidad de Chile (Chile) * * * Talk: ?Big Data Analytics using Deep Learning and Information-Theoretical Learning: Applications to Astronomy?* *8) Ronaldo Menezes * Florida Institute of Technology (USA)* * * Talk: ?Network and Data Science? * Key speaker at LA-CCI School* *Main-Tracks:* I) Evolutionary & Swarm Computation: Genetic Algorithms, Genetic Programming, Artificial Immune Systems, Swarm Intelligence, Collective Intelligence, Evolvable Hardware, Bio-inspired Methods. II) Neural & Learning Systems: Neural Networks, Machine Learning, Complex Systems, Molecular and Quantum Computing, Complex Networks. III) Fuzzy & Stochastic Modeling: Fuzzy Systems, Fuzzy Control & Decision Making, Uncertainty Analysis, Rough Sets, Fractals, Multiagent Systems, Reinforcement Learning, Game Theory. *Activities: *LA-CCI SCHOOL on CI; POST GRADUATE THESIS CONTEST; ROUND-TABLES & more. *Highlights:* This edition will boast thematic roundtables, an exciting School, a Post-Grad Contest/Doctoral Consortium and some exquisite cultural activities (such as visiting Machu Picchu over the weekend). *We are waiting for you!* Warm regards, Fernando Buarque - PC-Chair of LA-CCI'2017 Prof. Fernando Buarque , BSc MSc DIC PhD(UK) Hab(BR) AvH Fellow(DE), Senior Memb. IEEE(USA), Accred. Res. CNPq(BR) Associate Professor - School of Engineering/University of Pernambuco-UPE, Brazil (POLI /UPE ) Adjunct Professor - Electrical&Computer Engineering/Texas A&M University, USA (ECE at TAMU ) Graduate Faculty - Computer Science/Florida Institute of Technology, USA (CS at FIT ) Visiting Professor - School of Business and Economics-European Research Center for IS/University of M?nster, Germany (ERCIS ) Visiting Professor - Electrical Engineering/University of Johannesburg, South Africa (Kingsway Campus ) Permanent Member - PostGrad Program on Computing Engineering of UPE, Brazil (PPG-EC ) - PostGrad Program on Systems Engineering of UPE, Brazil (PPG-ES ) - UnderGrad Program on Computing Engineering of POLI/UPE, Brazil (E-Comp ) Head - Computational Intelligence Research Group of UPE, Brazil (CIRG at UPE ) Director - International Relations Office of School of Engineering-POLI/UPE, Brazil (ARI at POLI ) *Snail mail:* Universidade de Pernambuco / Escola Polit?cnica de Pernambuco Rua Benfica, 455 (Bl. 'C' 2. andar) * Bairro: Madalena CEP 50720-001 * Recife, Pernambuco - Brasil Fone: +55(0)81 3184-7542 * Fax: +55(0)81 3184-7548 National => http://www.fbln.pro.br/ * International => http://www.fbln.net [image: LA-CCI 2017] *"Se voc? quiser educar um homem, comece pela av? dele" (Victor Hugo).* -------------- next part -------------- An HTML attachment was scrubbed... URL: From yulia.sandamirskaya at ini.rub.de Thu Aug 3 06:44:29 2017 From: yulia.sandamirskaya at ini.rub.de (Yulia Sandamirskaya) Date: Thu, 3 Aug 2017 12:44:29 +0200 Subject: Connectionists: =?utf-8?q?CfP=3A_EUCog_2017_conference_in_Z=C3=BC?= =?utf-8?q?rich?= Message-ID: <0A676DAE-2402-49B7-A34E-10BF40A540F5@ini.rub.de> ?? CALL FOR PAPERS ?? ========================================= EUCOG-2017 CONFERENCE: EUCognition ? European Society for Cognitive Systems http://www.eucognition.org Topic: ?Learning: Beyond Deep Neural Networks? November 23th-24th, 2017, University of Z?rich R?mistrasse 59, 8001 Z?rich, Switzerland http://eucognition.org/index.php?page=2017-zurich-general-info For over a decade, the EUCognition network (EUCog) has brought together academic researchers and industrial partners with a common interest in the design and construction of artificial cognitive systems in ways that are informed by, or attempt to explain, biological cognition. The emphasis is on systems that are autonomous, robust, flexible, and self-improving in pursuing their goals in real environments. EUCog not only includes researchers who use insights from natural cognition in creating artificial cognitive systems for robotic and other technical applications but also those interested in using artificial cognitive systems to understand natural cognition. The field includes computer science, robotics, cognitive science, neuroscience, and philosophy as its core disciplines. EUCog will hold its next meeting this coming November in Zurich. The focus of the event will be community building, as well as presenting cutting-edge research in the field of artificial cognitive systems. The meeting is open to all: one need not be a past or current member of the EUCog network to attend. ========================================= SUBMISSION OF ABSTRACTS IS OPEN: https://easychair.org/conferences/?conf=eucog2017 We invite submission of Abstracts to be presented at the conference as posters or short talks. The abstracts can describe original work, but also an opinion or a summary of previous work, as long as these are relevant to the topic of the confernece and of high intellectual and scientific quality. All abstracts will be reviewed by the program committee. Short abstracts of at most 200 words Extended abstracts of 600-1200 words without references (1-3 pages) More information at: https://easychair.org/cfp/EUCog2017 ========================================= KEY DATES Submission deadling: 17.09.2017 Decisions announced: 09.10.2017 Conference: 23.-24.11.17 Deadline for submission of posters/papers for publication: 30.10.17 Early registration deadline: 30.10.2017 ========================================= THEME -- LEARNING: BEYOND DEEP NEURAL NETWORKS This year's conference deals with the topic of learning in artificial cognitive systems. The computational framework of Deep Neural Networks (DNNs) has been very successful in recent years because of the availability of immense computing resources and labeled datasets. The DNNs solve several problems in the field of Artificial Intelligence, such as speech and image recognition. However, despite of the impressive performance in some domains, there are fields of machine intelligence, where DNNs may not be the ultimate solution. One such field is cognitive robotics, which is central to the EUCognition interests. The limitations in terms of time, computing power, autonomy, perception, and availability of supervising input, characteristic of autonomous robotic systems that can support humans in their daily life and in hazardous environments, limit application of the computation-, data-, and energy-?hungry? DNNs in this field. Moreover, to be able to work flexibly and adaptively in real-world environments, shared and co-habited with humans, robotic systems may require completely different types of learning, which work based on the sensory information acquired by the system in a closed behavioral loop, instead of the labeled data. These learning processes have to be real-time (fast) and tightly coupled to other sensorimotor and cognitive processes, such as perception, attention, memory formation, skill learning, or decision making. The EUCog2017 conference will spawn a debate on the topic of machine learning techniques in "embodied" (i.e. robotic) cognitive systems. We hope to highlight the challenges that the connectionist (neural network-based) controllers in general and learning architectures in particular face in robotics. Key issues to be explored at the meeting include, but are not limited to: Successes and limitations of deep learning in robotics and cognitive systems Cognitive architectures that allow robotic systems to overcome limitations of deep learning Cognitive systems in design of (machine) learning systems Integration of deep learning in cognitive architectures ========================================= REGISTRATION Online registration will be open soon. ========================================= ORGANISERS Vincent C. M?ller (Anatolia College/ACT & University of Leeds) Ron Chrisley (University of Sussex) Yulia Sandamirskaya, Raphaela Kreiser, Elisa Donatti (University of Zurich & ETH Z?rich): local organisers -------------- next part -------------- An HTML attachment was scrubbed... URL: From pl219 at cam.ac.uk Thu Aug 3 09:52:38 2017 From: pl219 at cam.ac.uk (Pietro Lio') Date: 03 Aug 2017 14:52:38 +0100 Subject: Connectionists: Workshop on multi omics in Cambridge 21-27 August Message-ID: Dear all, The FP7 consortium MIMOmics (www.mimomics.eu ) and the University of Cambridge are jointly organising a Workshop in Omic studies in Cambridge, Computer Science Laboratory, Cambridge, UK on 21-23 August 2017. More information at the website: https://www.mimomicsucam.com/ The aim of the Workshop in Omic Studies is to provide a forum for statistical, bioinformatics and machine learning omics scientists of the biological and technological background for data measurements and for data analysis methodologies. It is intended for anyone with interest in applying modern methods on these data. A group of speakers in three days (21-23 August) will present different aspects and perspectives of Omics studies (large-scale genome sequencing projects and development of high-throughput biological assay systems, including gene-expression microarrays, microbiome, proteomic and single-cell genomics technologies, biological networks) and will start a discussion on these topics and the underlying complexities of molecular and cell biology. The workshop will precede a Summer School in Omics studies (24-27 August) where hands-on training and research projects will be provided for small groups of students (2-4). Students will be able to choose from a series of research projects. The Organisers: G. Ascolani G. Bartzis G. Castellani J.J. Houwing-Duistermaat L. Klaric P. Lio From yang at maebashi-it.org Thu Aug 3 11:46:27 2017 From: yang at maebashi-it.org (Yang) Date: Fri, 4 Aug 2017 00:46:27 +0900 Subject: Connectionists: [Deadline Extended] - BI 2017 - Call for Abstracts Message-ID: <7557BED4CAD543F7A6E1375E26A56CBD@yangPC> [Apologies if you receive this more than once] CALL FOR ABSTRACTS The 2017 International Conference on Brain Informatics (BI'17) "Investigating the Brain and Mind from Informatics Perspective" November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ --------------------------------------- SUBMISSION DEADLINE: August 30, 2017 One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B --------------------------------------- *** INVITED SPEECHES *** 1. "Multimodal Modelling of Network Propagation of Neuropathology in Dementia" Alan Evans (McGill University, Canada) 2. "Neural Correlates of Word, Sentence and Story Comprehension" Tom Mitchell (Carnegie Mellon University, US) 3. "The Cognitive Neural Basis of Object Knowledge" Yanchao Bi (Beijing Normal University, China) 4. "Harnessing Large-Scale Data-Sharing to Drive Discovery and Bench-to-Bedside Translation in Traumatic Brain Injury and Spinal Cord Injury" Adam Ferguson (University of California San Francisco, US) 5. "Computational Psychophysiology Based Research Methodology for Mental Health" Bin Hu (Lanzhou University, China) 6. "Multiscale Gene Expression Signatures in the Mammalian Brain in Health and Disease" Michael Hawrylycz (Allen Institute for Brain Science, US) 7. "Machine Learning in Medical Imaging Analysis" Dinggang Shen (University of North Carolina at Chapel Hill, US) *** WORKSHOPS AND SPECIAL SESSIONS *** ++++++++++++++++++++++++++++++++++++++++++++ Abstract submission (TYPE II) is still open! ++++++++++++++++++++++++++++++++++++++++++++ To submit abstracts to workshops/special sessions, please visit http://bii.ia.ac.cn/bi-2017/workshops.htm # Workshop on Brain and Artificial Intelligence (BAI 2017) Organizers: Yi Zeng, Chinese Academy of Sciences, China Shuliang Wang, Beijing Institute of Technology, China # Workshop on Knowledge Representation: Brain and Machine (KRBM 2017) Organizers: Yanchao Bi, Beijing Normal University, China Yi Zeng, Chinese Academy of Sciences, China # Workshop on Affective, Psychological and Physiological Computing (APPC 2017) Organizers: Bin Hu, Lanzhou University, China Zhijun Yao, Lanzhou University, China Mi Li, Beijing University of Technology, China # Workshop on Big Data and Visualization for Brainsmatics (BDVB 2017) Organizers: Qingming Luo, Huazhong University of Science and Technology, China Anan LI, Huazhong University of Science and Technology, China # Workshop on Brain Big Data Based Wisdom Service (BBDBWS 2017) Organizer: Jiajin Huang, Beijing University of Technology, China # Workshop on Semantic Technology for eHealth (STeH 2017) Organizers: Jiao Li, Chinese Academy of Medical Sciences, China Zhisheng Huang, Vrije University Amsterdam, The Netherlands # Workshop on Big Data Neuroimaging Analytics for Brain and Mental Health (BDNABMH 2017) Organizer: Shouyi Wang, University of Texas at Arlington, USA # Workshop on Novel Methods of the Brain Imaging in the Clinical and Preclinical Neuroscience (NMBICPN 2017) Organizers: Vassiliy Tsytsarev, University of Maryland School of Medicine, USA Vicky Yamamoto, Keck School of Medicine of USC, USA Yan Li, University of Southern Queensland, Australia # The 1st International Workshop on Deep Learning in Brain MRI and Pathology Images (DLBMPI 2017) Organizers: Yan Xu, School of Biological Science and Medical Engineering, BUAA Eric Chang, Microsoft Research Asia # Workshop on Mesoscopic Brainformatics (MBAI 2017) Organizers: Dezhong Yao, University of Electronic Science and Technology of China, China Pedro A. Valdes-Sosa, University of Electronic Science and Technology of China, China Yong He, Beijing Normal University, China Li Dong, University of Electronic Science and Technology of China, China # Special Session on Brain Informatics in Neurogenetics (BIN 2017) Organizers: Hong Liang, Harbin Engineering University, China Lei Du, Northwestern Polytechnical University, China Li Shen, Indiana University School of Medicine, USA # Special Session on BigNeuron Project (BP 2017) Organizers: Zhi Zhou, Allen Institute for Brain Sciences, USA Min Liu, Hunan University, China ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing IMPORTANT DATES : =========================== May 1, 2017: Submission deadline for full papers June 20, 2017: Notification of full paper acceptance July 20, 2017: Submission deadline for workshop/special-session papers August 30, 2017: Submission deadline for abstracts (TYPE-II) (for both main conference and workshops/special sessions) November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference ABSTRACT (TYPE-II) SUBMISSIONS : ================================= (Submission Deadline: August 30, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. ----------------------------------------------- One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B ----------------------------------------------- *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted abstracts from the conference will be expanded and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang at ia.ac.cn shouyiw at uta.edu yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandra.sciutti at gmail.com Thu Aug 3 12:40:50 2017 From: alessandra.sciutti at gmail.com (Alessandra Sciutti) Date: Thu, 3 Aug 2017 18:40:50 +0200 Subject: Connectionists: CfP for the Workshop "The body of embodiment" at HAI 2017 Message-ID: <009c01d30c77$447d9a00$cd78ce00$@gmail.com> Call for Papers (apologies for multiple postings) =================================================== Workshop "The body of embodiment" Understanding Embodiment in human-agent interaction ? an interdisciplinary approach =================================================== October 17th, 2017 - CITEC Research Building, Bielefeld, Germany http://www.macs.hw.ac.uk/~kl360/HAI2017W/index.html In conjunction with the Fifth International Conference on Human-Agent Interaction (HAI 2017) http://hai-conference.net/hai2017/ **************************************************************************** *************************** ================== Scope and motivation ================== Robots and virtual agents are progressively becoming more ubiquitous in our society. Although both types of agents may have an embodiment either physical or simulated, a crucial difference exists, in terms of the possibility to share the same space of the users. There is currently an active discussion on the potential impact of physical presence on interaction and agent perception, both for the investigation of social cognition and in applications of agents in the social domain. For instance, is a physical agent better than a virtual agent in the context of teaching children or acting as receptionist? The workshop ?The body of embodiment? will focus on the role of an agent?s embodiment and physical presence and their effects on social human-agent interactions. The following core research questions will be explored with a multidisciplinary audience: (+) Which is the role of *embodiment* as a constituent of social agents? (+) Which is the role of *physical presence* as a constituent of social agents? (+) Which impact embodiment and physical presence have in the *social perception* of robots and virtual agents? These three key questions are at the core of ongoing discussions in the field of HRI, HCI and HAI and this workshop aims to shed light on the development of a common ground and mutual understanding among experts in the field of embodiment research, coming from robotics, neuroscience, psychology, computer science and AI. We believe that this event will strengthen the communication among the different research areas in the field of interaction between humans and novel technologies. Moreover, this workshop seeks to introduce junior researchers who have just entered the field to this highly relevant and complex concept. **************************************************************************** *************************** =============== Keynote speakers =============== * Prof. Stefan Kopp - Bielefeld University * Prof. Massimiliano Cappuccio - United Arab Emirates University * Prof. Tom Ziemke - University of Sk?vde **************************************************************************** *************************** ========== Submission ========== Prospective participants are invited to submit short (2 pages) or full papers (up to 6 pages). Submissions must be in pdf, following the HAI conference style. All contributions will be subject to a peer-review process. Position papers should discuss how embodiment and physical presence might have an impact on human-agent interaction. Accepted publications will be published on our workshop web page. Depending on the overall quality of the contributions, we might consider proposing a Special Issue to journal in the near future. Authors will have the option of opting out from including their papers in the website. Information on the opt-out option will be provided along with the acceptance notice for the papers. All papers for the Workshop must be submitted in PDF format by email to the address: katrin.lohan at gmail.com Submission is not anonymous. More details and templates can be found at: http://www.macs.hw.ac.uk/~kl360/HAI2017W/papers.html Additionally, all participants are requested to address at least one (or more) of the following open research questions: (+) Is physical embodiment useful and supportive for human-robot interaction? (+) Which is the role of embodiment for agency perception? (+) Is there a need for a physical presence to elicit a sense of agency? (+) How do embodiment and physical presence impact on the perception of the capabilities of an agent? (+) Which is the role of physical presence and embodiment in the context of trust and reliability of a system? (+) How does embodiment relate to the concept of embodied cognition for robots in social interactions with humans? If time allows, those questions/answers will be used to "drive" a final discussion. **************************************************************************** *************************** =============== Important dates =============== * 1st September 2017 - Deadline for paper submissions * 25th September 2017 - Notification * 17th October 2017 - Workshop **************************************************************************** *************************** ================= Workshop organisers ================= * Alessandra Sciutti, RBCS - Istituto Italiano di Tecnologia, Genova - alessandra.sciutti at iit.it * Friederike Eyssel, Bielefeld University - feyssel at cit-ec.uni-bielefeld.de * Katrin Solveig Lohan, Heriot-Watt University - k.lohan at hw.ac.uk This workshop is supported by the European CODEFROR project (PIRSES-2013-612555) and by SICSA ( http://www.sicsa.ac.uk/). **************************************************************************** *************************** ---------------------------------------- Alessandra Sciutti (PhD) Researcher, Robotics Brain and Cognitive Sciences Unit Istituto Italiano di Tecnologia Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy tel: +39 010 8172 210 email: alessandra.sciutti at iit.it website: https://www.iit.it/people/alessandra-sciutti -------------- next part -------------- An HTML attachment was scrubbed... URL: From tdh at cs.au.dk Fri Aug 4 05:20:58 2017 From: tdh at cs.au.dk (Thomas Dueholm Hansen) Date: Fri, 4 Aug 2017 09:20:58 +0000 Subject: Connectionists: Assistant/associate professor positions in machine learning at Aarhus University, Denmark Message-ID: <1501838458902.44800@cs.au.dk> The Department of Computer Science at Aarhus University aims to establish a machine learning research group. One or more positions as tenure-track assistant professor or associate professor are therefore available starting January 1st, 2018. The application deadline is September 15th, 2017. The department has a staff of approximately 125 people including 24 full and associate professors, 2 assistant professors, 25 postdocs and 50 PhD students. The number of students is approximately 1,000. The department is expected to expand significantly (about 18 academic positions) over the next 5-6 years, and machine learning is one of the focus areas in the expansion. Additional details and instructions on how to apply are found at: http://www.au.dk/en/about/vacant-positions/scientific-positions/stillinger/Vacancy/show/920308/5283/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From agisiorg at gmail.com Fri Aug 4 11:36:16 2017 From: agisiorg at gmail.com (AGISI org) Date: Fri, 4 Aug 2017 17:36:16 +0200 Subject: Connectionists: Research survey "Defining (machine) Intelligence" Message-ID: Dear colleagues, We are conducting a survey to gather expert opinions on defining (machine) intelligence. Below is the text of our invite. We would be very grateful for your support. Best, Dagmar A recent survey of Artificial Intelligence (AI) educators by Michael Wollowski, Peter Norvig and others (Wollowski et al., 2016) showed a stark difference of opinion about the definition of Artificial Intelligence. We invite you to participate in our survey "Defining (machine) Intelligence" (https://goo.gl/hMjaE1) to gather opinions, from a cross sector of professionals, ultimately to help create a unified message on the goal and definition of AI. Our preliminary research shows that theories of intelligence and the goal of AI have been the source of much confusion both within the field and among the general public, which may in part be due to the lack of a coherent identity and goal for AI. For example, in the opening sentence of Nils J. Nilsson's book (2010), The Quest for Artificial Intelligence. A History of Ideas and Achievements, he states: ?Artificial intelligence may lack an agreed-upon definition.? We hope the results of our study, which will also include a rigorous review of the literature, will help inform academics, researchers, and practitioners with respect to an agreed upon definition of AI from the widest number of practitioners and researchers. Furthermore, even though many researchers indicate that supporting humanity should be the goal of AI, misconceptions of the field abound. By clarifying the known definitions of intelligence and research goals of Machine Intelligence this should help us and other AI practitioners spread a stronger, more coherent message, to the mainstream media, policymakers, investors, and the general public to help dispel myths about AI. The survey (https://goo.gl/hMjaE1) may be completed anonymously but if you would like to be notified when the paper is available or have your definition of intelligence be considered for inclusion (with your name alongside) in our coming research paper, then there is also the opportunity to add your name and email address. Please send an invitation to any homo sapiens (our human bias excludes AI's from participating in this survey) that you feel will be interested and could contribute toward this important principle. The survey is available here: https://goo.gl/hMjaE1. Thank you very much for your contribution! Dr. Colin W. P. Lewis Ph.D. in Behavioral Economics and Data Science Robotenomics.com, AGI Sentinel Initiative (AGISI.org) Prof. Dr. Dagmar Monett Ph.D. in Computer Science Berlin School of Economics and Law, AGI Sentinel Initiative (AGISI.org) Contact: Email: info at agisi.org Twitter: https://twitter.com/AGISI_ORG Website: http://agisi.org Privacy statement: Any personal information collected in this survey will be processed by AGISI.org researchers in accordance with the terms and conditions of the EU General Data Protection Regulation (GDPR) (Regulation (EU) 2016/679). We will hold your data securely and not make it available to any third party unless permitted or required to do so by law. References: Nilsson, N. J. (2010). The Quest for Artificial Intelligence. A History of Ideas and Achievements. Cambridge University Press. Wollowski, M. et al. (2016). A Survey of Current Practice and Teaching of AI. In D. Schuurmans and M. Wellman (eds.), Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI'16, Phoenix, Arizona, pp. 4119-4124, Palo Alto, CA: AAAI Press. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marco.baroni at unitn.it Sat Aug 5 09:38:16 2017 From: marco.baroni at unitn.it (Marco Baroni) Date: Sat, 5 Aug 2017 15:38:16 +0200 Subject: Connectionists: CommAI PhD Fellowhsip Message-ID: We are happy to announce a Facebook PhD Fellowship sponsored by the CommAI project. Facebook Fellowship program The Facebook Fellowship Program is designed to encourage and support promising doctoral students. Winners of the Fellowship are entitled to receive two years of tuition and fees paid, a stipend of $37,000 each year, and up to $5,000 in conference travel support. Applications will be evaluated based on the strength of the student's research statement, publication record, and recommendation letters. CommAI and the CommAI Fellowship CommAI is an ambitious project hosted by Facebook Artificial Intelligence Research, aiming to develop a new generation of intelligent systems that are able to quickly adapt to an endless streams of new tasks through communication. More information about the project can be found on the CommAI page . We would like to support through the CommAI Fellowship a student who is working on non-incremental approaches to addressing interactive AI. Topics of interest include but are not limited to continual learning, meta-learning, bio-inspired AI, interaction-based learning, ideally pursued with techniques that differ from standard Deep Learning and Reinforcement Learning. Women and scientists from under-represented groups are especially encouraged to apply. How to apply Information on how to apply will be posted on this page on September 1, 2017. If you want to apply to the CommAI-sponsored Fellowship, make sure you specify CommAI as your research area. You are welcome to send, at any time, an expression of interest to the address commai at fb.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mark.humphries at manchester.ac.uk Sun Aug 6 15:08:52 2017 From: mark.humphries at manchester.ac.uk (Mark Humphries) Date: Sun, 6 Aug 2017 19:08:52 +0000 Subject: Connectionists: Integrated Systems Neuroscience 2017 meeting: Final call for registration In-Reply-To: References: Message-ID: <2E307C6E-A54E-4707-999A-34F22F67D0A4@manchester.ac.uk> The Integrated Systems Neuroscience meeting (7-8th September 2017, Manchester, UK) is an international conference at the interface of systems and computational neuroscience. This year we have an exciting programme featuring leading researchers in cortical dynamics and plasticity, hippocampal coding, and the neural basis of movement - including cutting-edge work on whole-brain imaging in C Elegans. A poster session with drinks reception will be held on the first evening. Come join us for two days of beautiful neuroscience! (fee of ?75 includes all refreshments, drinks reception, and lunch on the second day) Registration deadline: August 11th 2017 For registration, programme, and further information please visit: https://www.bmh.manchester.ac.uk/conferences-meetings/isn2017/ Questions? Email: isn2017 at manchester.ac.uk Speakers: Rune Berg (Copenhagen University) Tiago Branco (Sainsbury Wellcome Centre for Neural Circuits) Neil Burgess (Institute of Cognitive Neuroscience, UCL) Megan Carey (Champalimaud Institute, Lisbon) Claudia Clopath (Imperial College, London) Kate Jeffery (UCL) Christian Machens (Champalimaud Institute, Lisbon) Jonathan Pillow (Princeton) Simon Peron (New York University) Manuel Zimmer (IMP, Austria) Organisers: Mark Humphries & Rasmus Petersen (University of Manchester) Sponsors: we gratefully acknowledge the support of the Medical Research Council _____________________________________________________________________________ Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health http://www.systemsneurophysiologylab.manchester.ac.uk/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From robert.jenssen at uit.no Mon Aug 7 04:17:14 2017 From: robert.jenssen at uit.no (Robert Jenssen) Date: Mon, 7 Aug 2017 08:17:14 +0000 Subject: Connectionists: Open postdoctoral position in the UiT Machine Learning Group on deep learning Message-ID: <1502093829881.59265@uit.no> ?The UiT Machine Learning Group http://site.uit.no/ml directed by Robert Jenssen has an open three-year postdoctoral position: We are seeking a Postdoctoral Research Fellow to take an active role in the group's research on advancing deep learning methodology. Special emphasis will be given to deep convolutional neural networks for image analysis and to autoencoders. The overarching basic research idea is to leverage the power of kernel machines for advancing deep neural networks, focusing particularly on unsupervised learning. The aim is to jointly advance deep learning (convolutional neural networks, autoencoders) and kernel machines (spectral clustering, dimensionality reduction, manifold learning), by synergistically coupling those paradigms. The candidate will seek to apply the novel methodology within our research activity "deep learning for data-driven health" http://site.uit.no/deephealthresearch for decision and diagnosis support, based on analysis of heterogeneous data from electronic health records (close collaboration with the University Hospital of North Norway). In addition, the candidate is expected to contribute to applied and industrial research, particularly with respect to image analysis. The candidate is expected to master or to learn software such as e.g. Keras and Theano. Knowledge of e.g. TensorFlow and/or Caffe will also be beneficial. For details, please see: https://www.jobbnorge.no/ledige-stillinger/stilling/140532/postdoctoral-research-fellow-in-machine-learning The successful candidate will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections. Please contact Robert Jenssen (robert.jenssen at uit.no) for more info, or for setting up informal Skype. --- Robert Jenssen? UiT Machine Learning Group http://site.uit.no/ml Department of Physics and Technology University of Tromso (UiT) - The Arctic University of Norway -------------- next part -------------- An HTML attachment was scrubbed... URL: From mfasli at essex.ac.uk Mon Aug 7 04:18:53 2017 From: mfasli at essex.ac.uk (Fasli, Maria) Date: Mon, 7 Aug 2017 08:18:53 +0000 Subject: Connectionists: CFP: Frontiers and Advances in Analytics and Data Science Conference (IEEE technically co-sponsored) Message-ID: *** Apologies for cross-postings *** FINAL CALL FOR PAPERS ? EXTENDED DEADLINE 10TH AUGUST 1st International Conference on the Frontiers and Advances in Data Science (FADS) Technically co-sponsored by IEEE (UK & RI Computer Section; Xian Section) 23-25 October 2017, Xian, China http://www.fads.org.uk Our lives and society have been transformed by advances in modern information and communication technologies. Devices such as mobile phones and tablets and applications such as social networks have changed how we interact with the world around us and each other and the way we conduct business, government and science. With computational technologies permeating almost all aspects of human activity the amount of data being generated is constantly increasing and we are surrounded by a wealth of new forms of data. We are at the cusp of a new data and information revolution. This proliferation of data calls for novel, multi and interdisciplinary approaches in data science and analytics to tackle the problems that data pose. New approaches for harnessing data and drawing insights will bring huge benefits to fields as diverse as health, finance, running smarter cities, the environment, business and public policy. The First International Conference on Frontiers and Advances in Data Science (FADS) will bring together scientists, professionals, industry practitioners and users from range of disciplinary backgrounds and application domains to share knowledge and the latest developments in data science and analytics. Further information is available from the FADS 2017 website http://www.fads.org.uk Keynote Speakers ? Prof Xueqi Cheng, Vice Director of the Institute for Computing Technology, Chinese Academy of Sciences, Director of CAS Key Laboratory of Network Data Science and Technology, China ? Dr Sudeep Das, Senior Researcher in Personalisation Algorithms, Netflix, California ? Prof Victor Chang, Xi?an Jiaotong-Liverpool University, Suzhou, China CALL FOR PAPERS http://www.fads.org.uk/fads-2017/call-for-papers/ We invite the submission of original and previously unpublished theoretical and practical work in all fields of data science and analytics including methodologies and techniques for big data. All submissions will be reviewed by at least two members of the Program Committee on the basis of novelty, technical quality, relevance to the conference theme, significance, and clarity of presentation. Accepted papers will be submitted for inclusion into IEEE Xplore. The IEEE Xplore proceedings will be submitted for inclusion to Elsevier EI for indexing. We are in the process of arranging special issues in the Journal of Future Generation Computer Systems and the Journal of Information Processing and Management. Selected papers from the conference and special sessions will be invited for submission to the special issues. FADS welcomes submissions on (but not limited to) the following topics : Data Science Foundations ? Machine Learning ? Mathematical and statistical models ? Novel theoretical models ? Computational Models ? Preprocessing and dimensionality reduction ? Efficiency and complexity ? Optimization Analytics ? Multi-stream reasoning and analytics ? Text analysis and mining ? Causal inference ? Visualisation ? Modelling complex and big data ? Personalisation analytics and recommender systems ? Social network analytics ? Multimedia/image processing and analytics ? Information retrieval and search ? Semantic information extraction and reasoning Data Infrastructure and Management ? New data standards ? Data cleansing ? Data integration ? Data sharing ? Data linkage ? Data curation and publishing ? Cloud/Grid/Stream Computing architectures ? Distributed and parallel/high performance processing ? Data warehouses ? Open platforms for analytics ? Big data architectures and platforms Security, governance and privacy ? Governance ? Intrusion, anomaly and threat detection ? Data integrity ? Data security and risk ? Trust and trust management ? Privacy preserving techniques and anonymisation ? Privacy protection standards and policies ? Legal aspects of analytics and big data Social and economic aspects ? Ethical considerations in the era of analytics and big data ? New business models ? Sociological aspects of analytics and big data ? Analytics and big data for sustainable development ? Analytics and big data for the social good ? Analytics and big data for the supporting the Sustainable Development Goals (SDGs) Applications ? Scientific applications of analytics and big data ? Internet of Things ? Internet of Persons ? Smart Cities and Transport ? Business and Finance Analytics ? Healthcare analytics and decision support ? Decision making and support systems ? Analytics and big data for policy making and the public sector ? Social networks and applications ? Industrial applications of analytics and big data ? Analytics for telecommunications and networks applications *** Special Sessions *** http://www.fads.org.uk/fads-2017/special-sessions/ ? Blockchain Technology ? Task Scheduling in Cloud Computing ? Cloud Data Governance ? Manufacturing Informatics ? Data Science and Cloud Computing ? Data Science for Politics, Policy and International Development Important Dates Paper Submission deadline: 10th August 2017 Paper Submission Deadline for Special Sessions: 20th August 2017 Notification of acceptance: 5th September 2017 Camera-ready Manuscript: 15th September 2017 Registration deadline (early and for accepted papers): 15th September 2017 For more information please visit the FADS Conference webpage: http://www.fads.org.uk Conference Organisation General Chairs ? Prof Maria Fasli, UNESCO Chair in Analytics and Data Science, University of Essex ? Prof Peng Jinye, Dean of School of Information Science and Technology, Northwest University Program Chairs ? Prof Hangzai Luo, Northwest University, China ? Prof Frank Wang, University of Kent, UK ? Prof Mohammad Essaaidi, ENSYAS, Morocco ? Prof Bruce Bassett, University of Cape Town; AIMS, South Africa Special Sessions Chair ? Dr Elhadj Benkhelifa, University of Staffordshire University, UK Contact Information fads at essex.ac.uk; iads at essex.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.wong-lin at ulster.ac.uk Mon Aug 7 11:16:39 2017 From: k.wong-lin at ulster.ac.uk (Wong-Lin, Kongfatt) Date: Mon, 7 Aug 2017 15:16:39 +0000 Subject: Connectionists: PhD studentships - Personalised Medicine and Computational Biology/Medicine Message-ID: A number of fully funded Ph.D. studentships in the area of Personalised Medicine and Computational Biology/Medicine are available at Ulster University. For more information, please check out: https://www.findaphd.com/search/PhDDetails.aspx?CAID=3555&LID=4409 https://www.ulster.ac.uk/researchdegrees/phd-opportunities/how-to-apply One of these PhD studentships is on Data Analytics and Modelling of Dementia within the area of computational/quantitative biology, bioinformatics and/or data science. Another PhD studentship on Integrative Biology and Stratification of Dementia involves the collection and analysis of biological (and non-biological) data within the area of experimental neurobiology. Potential applicants who are particularly interested in these two Ph.D. studentships on dementia and Alzheimer's disease may contact me for further inquiry. Please note that the application deadline is on the 14th August. --------------------------- Dr. KongFatt Wong-Lin Ulster University, 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 dtborek at gmail.com Mon Aug 7 18:03:38 2017 From: dtborek at gmail.com (Daniel Borek) Date: Tue, 8 Aug 2017 00:03:38 +0200 Subject: Connectionists: AoN Brainhack Warsaw 2017 - call for project proposals Message-ID: AoN Brainhack Warsaw 2017 November 18-19, 2017 University of Warsaw, Warsaw, Poland *? The call for proposals extended to 1st September 2017 ? * On the weekend of 18-19th November 2017, the first edition of *AoN Brainhack* *Warsaw* will take place. During this two-day event dedicated to students and PhD students, we will work in teams on neuroscience-related projects. The aim of the event is to meet new, enthusiastic researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community (Craddock et al., 2016). The venue and the exemplary projects are presented on our website: *https://brainhackwarsaw.github.io/ * Please note this Brainhack is a satellite event for the interdisciplinary Aspects of Neuroscience conference which will take place on 24-26th November 2017 in Warsaw. Participation in the conference is not mandatory but we encourage to also consider this. Important deadlines: Deadline for project proposals: September 1st, 2017 Announcement of projects: September 15th, 2017 Participant registration starts: September 1st, 2017 Deadline for participant registration: November 1st, 2017 At the moment, the *call for project proposals* is open. The proposals can include various forms of a group activity, e.g., data analysis, app development, a two-day discussion club, developing a new software etc. The organizers will provide a few openly available datasets to the project authors, but developing projects using private datasets is also welcome. *Please send the project proposals and all the related questions to the mailing address: **brainhackwarsaw at gmail.com * Also, please team up with us! Join our channel #brainhack-warsaw-2017 on Brainhack Slack project (https://brainhack-slack-invite.herokuapp.com) for the updates, and share your own ideas with us! We are looking forward to working with you at the AoN Brainhack Warsaw! *The AoN Brainhack Warsaw 2017 team:* Natalia Bielczyk, MSc, Donders Institute for Brain, Cognition and Behavior, Nijmegen, The Netherlands (natalia.bielczyk at gmail.com) Krzysztof Bielski, MSc, Faculty of Psychology, University of Warsaw, Warsaw, Poland Micha? Bola, PhD, Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Warsaw, Poland Daniel Borek, MSc, Faculty of Physics, University of Warsaw, Warsaw, Poland, (dtborek at g mail.com) Beata Go?li?ska, BSc, Faculty of Physics, University of Warsaw, Warsaw, Poland -------------- next part -------------- An HTML attachment was scrubbed... URL: From srikanth.ramaswamy at epfl.ch Tue Aug 8 05:27:45 2017 From: srikanth.ramaswamy at epfl.ch (Srikanth Ramaswamy) Date: Tue, 8 Aug 2017 09:27:45 +0000 Subject: Connectionists: Neuromodulation of Neural Microcircuits NM2 Conference 2017 Message-ID: <623A054F-AFD0-43FD-8CD5-E69EFBC7E275@epfl.ch> We are delighted to announce the upcoming Neuromodulation of Neural Microcircuits (NM2) Conference 2017. The NM2 Conference will be held at the EPFL, Lausanne, Switzerland on the 18th and 19th of Sep. 2017 and at the Campus Biotech in Geneva, Switzerland on the 20th of Sep. 2017. Neuromodulators dynamically reconfigure neural microcircuits and shape brain states by controlling the function of neurons and glia, dendrites, and synapses. NM2 will bring together world-leading experts to: ? Identify the state-of-the-art mechanisms of the neuromodulation of neural microcircuits ? Illuminate various strategies enabling the measurement of neuromodulatory states in brain health and disease ? Integrate knowledge to build a unifying view of the neuromodulation of different brain regions ? Inform and attract new talent to drive forward neuromodulation research ? Inspire future directions that will transform our understanding of the neuromodulation of brain function and dysfunction and therapeutic intervention NM2 has an exciting program with a stimulating lineup of speakers! Please mark your calendars to participate in shaping the future course of neuromodulatory research! Registration includes coffee breaks, lunch, refreshments and poster sessions. PhD. students and postdocs are particularly encouraged to apply for several travel awards by submitting poster abstracts. Some abstracts will be selected for flash talks. Early bird registration is open until August 15th, 2017. Abstract submission is open until August 13th, 2017. We look forward to welcoming you at NM2 in beautiful Switzerland! Best regards from the scientific committee of NM2, Srikanth Ramaswamy Henry Markram Mriganka Sur Anita Disney Menahem Segal Michael Hasselmo Seung-Hee Lee Alexander Thiele Amy Arnsten -------------- next part -------------- An HTML attachment was scrubbed... URL: From john at jcmurray.com Tue Aug 8 06:12:53 2017 From: john at jcmurray.com (John C. Murray) Date: Tue, 8 Aug 2017 11:12:53 +0100 Subject: Connectionists: JOB: Research Assistant in Drone Detection and Machine Learning Message-ID: Dear All, We currently have an open post for a fixed-term Research Assistant (Grade 6) post at the University of Lincoln, in the UK. The University of Lincoln is seeking to appoint a Research Assistant, the successful candidate will be employed as a Research Assistant on the project SKYPERION - Autonomous Drone Detection, which will develop a novel drone / UAV detection system. The number of reported incidents of Drones flying in restricted airspace is on the increase. The successful candidate will be responsible for the development of a novel Drone detection and threat analysis system. Utilising advances in Machine Learning techniques and signals processing, the developed system will be able to offer detection and threat warnings for Drones flying in restricted air spaces. We are looking to recruit a Research Assistant specialising in the following: 1. An understanding of Machine Learning technologies, e.g. TensorFlow 2. Good programming skills, e.g. C/C++, Python 3. Knowledge of signals processing For further details of this post and to apply please visit: https://jobs.lincoln.ac.uk/vacancy.aspx?ref=COS438 Informal inquiries about this post can be made to Dr John Murray (email: jomurray at lincoln.ac.uk) Regards, John -------------- next part -------------- An HTML attachment was scrubbed... URL: From compsens at medizin.uni-tuebingen.de Tue Aug 8 07:06:52 2017 From: compsens at medizin.uni-tuebingen.de (Compsens) Date: Tue, 08 Aug 2017 13:06:52 +0200 Subject: Connectionists: PhD in Computer Neuroscience Message-ID: <20170808130652.Horde.sNAsB0dxgLO4ZACuq709SJy@webmail.uni-tuebingen.de> PHD POSITION: COMPUTER ANIMATION AND MACHINE LEARNING TECHNOLOGY FOR THE STUDY OF ACTION AND SOCIAL PERCEPTION (Hertie Institute / Center for Integrative Neuroscience, University of Tuebingen, Germany) The Section for Computational Sensomotorics at the Center for Integrative Neurosciences (CIN) and the Hertie Institute for Clinical Brain Research (HIH) at the University of Tuebingen invites applications for a PhD student for a project developing novel technology for the study of action and social perception exploiting VR technology. VR and computer animation combined with state-of-the-art machine learning approaches (including deep learning) offer novel possibilities for the investigation and understanding of the neural basis of the perception of actions and social signals. The project aims at the development of novel learning-based technologies and models for human and animal experiments that investigate social perception and the perception of facial and body movements. The project is funded for a duration of 3 years. What we offer: ? possibility to obtain a PhD in Neuroscience in the International Graduate Training Center for Neuro-science in Tuebingen (offering > 40 courses in almost all relevant fields of neuroscience and ML) or of a PhD in Computer Science at Tuebingen University ? top scientific environment (HIH among top 3 European institutions for clinical brain research; CIN is a Research Cluster as part of German Excellence Initiative; Bernstein Center for Computational Neuroscience; Tuebingen hosts 3 Max Planck Institutes: Biological Cybernetics, Intelligent Systems, and Developmental Biology) ? collaborations with leading international partners in neuro- and computer science (including M.I.T, KU Leuven, Imperial College, etc.) What we are looking for: ? person with Masters degree in Computational Neuroscience or a related discipline (Computer Science, Engineering, Physics, Mathematics, Cognitive Science, Mathematical Psychology, etc.) ? highly-motivated person with enthusiasm for research, high degree of independence, and motivation of self-driven pursuit of difficult problems ? strong mathematical background and basic programming skills (at least in C++ , MATLAB or Python) and ideally some knowledge in Computer Graphics or Computer Vision; willingness to learn relevant techniques and software tools for computer animation, computer vision and deep learning ? interest in action and social perception, related technical and neuroscience applications ? English speaking and writing skills. Committed to Equal Opportunities. Interested candidates should send their application, including a CV, all marks from studies, 2 letters of reference, and a short research statement of about one half page (explaining how your skills might support a project on learning of hierarchies in motor control) to: ------------------------------------------------------------------------------ Prof. Dr. Martin Giese Section for Theoretical Sensomotorics, Dept. for Cognitive Neurology Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience University of Tuebingen, Otfried-M?ller Str. 25, D-72076 Tuebingen GERMANY Tel.: +49 7071 2989124 Email: martin.giese at uni-tuebingen.de Web: http://www.compsens.uni-tuebingen.de/ From timvogels at gmail.com Tue Aug 8 07:25:57 2017 From: timvogels at gmail.com (Tim Vogels) Date: Tue, 8 Aug 2017 12:25:57 +0100 Subject: Connectionists: DEADLINE NEAR: Apply now for the Cape Town Imbizo for Neurotheory Message-ID: <0221BDCE-6226-4044-AE03-F20D97997072@gmail.com> Dear all, surf is up in Muizenberg, and applications for the IBRO SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2018 close in 1 week, on August 15th 23:59 !! APPLY NOW Get to know (and help to build) African Computational and Theoretical Neuroscience. from 7 - 28 January 2018, Muizenberg Beach, Cape Town, South Africa http://isicni.gatsby.ucl.ac.uk Poster: http://isicni.gatsby.ucl.ac.uk/img/poster2018c.png The #isiCNI2018 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of experimental and computational neuroscience. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. Who should apply? This course is aimed at Masters and PhD level students though Honours or Postdoctoral students may also apply. Students should sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR * Generous scholarships and travel stipends are available based on merit and need * Application deadline: 15th August 2017 * Notification of results: End of September 2017 Information and application http://isicni.gatsby.ucl.ac.uk Application form http://tinyurl.com/yc6zbvpo Questions? isicn.imbizo at gmail.com What is an Imbizo? \?m?bi?z?\ | Xhosa - Zulu A gathering of the people to share knowledge. FACULTY Larry Abbott - Columbia University Adrienne Fairhall - Washington University Peter Latham - University College London Blake Richards - University of Toronto Timothy Lillicrap - Google DeepMind Mate Lengyel - University of CambridgeJoseph Raimondo - University of Cape Town Yiota Poirazi - Foundation for Research and Technology - Hellas Srikanth Ramaswamy - EPFL Lausanne Tim Vogels - University of Oxford Byron Yu - Carnegie Mellon University and special guests, to be announced Alex Antrobus (Gatsby Unit, UCL) Athanasia Papoutsi (Foundation for Research and Technology - Hellas) William Podladski (University of Oxford ) Friedemann Zenke (Stanford University / University of Oxford) Agostina Palmigiano (Universit?t G?ttingen) Katharina Wilmes (Imperial College London) DIRECTORS Peter Latham (Gatsby Unit for Computational Neuroscience, UCL, UK) Joseph Raimondo (University of Cape Town, South Africa) Tim Vogels (University of Oxford, UK) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org ), IBRO, the International Brain Research Organisation (http://ibro.info ), and the Wellcome Trust (wellcome.ac.uk ) Organizational Affiliates University of Cape Town, University College London, University of Oxford, TReND in Africa , CNCB , Gatsby Foundation , IBRO African Center for Advanced Training in Neurosciences at UCT ---------------- Dr Tim Vogels Sir Henry Dale Research Fellow, Associate Professor Centre for Neural Circuits and Behaviour and Oriel College Department of Physiology, Anatomy & Genetics University of Oxford Mansfield Road Oxford, OX1 3SR http://cncb.ox.ac.uk http://www.neurotheory.ox.ac.uk/~timv -------------- next part -------------- An HTML attachment was scrubbed... URL: From perfo897 at gmail.com Tue Aug 8 09:38:02 2017 From: perfo897 at gmail.com (Per-Erik Forssen) Date: Tue, 8 Aug 2017 15:38:02 +0200 Subject: Connectionists: Postdoctoral position in Computer Vision and Machine Learning Message-ID: Link?ping University has an open postdoc position in Computer Vision at the Department of Electrical Engineering. The Link?ping Computer Vision Lab is a vibrant research environment with five faculty members, one postdoc, 11 PhD students, and several affiliated researchers. http://www.cvl.isy.liu.se Work description The postdoc will work as a researcher in a project on machine learning for time of flight cameras, and features collaboration between the Computer Vision Lab and the company Fotonic. 3D cameras using the time of flight (ToF) principle are increasingly popular for automation and robotics. Many new consumer products such as the Kinect v2, and the Microsoft Hololens device also rely on ToF for 3D mapping. We will together with Fotonic study the fundamentals of the measurement problem, and temporal fusion techniques, with the aim of improving depth map quality, range, and robustness. The postdoc is expected to publish papers at high ranking venues such as ECCV, CVPR, ICCV and 3DV. Inquiries Further details on the position can be provided on request by Associate Professor Per-Erik Forssen (per-erik.forssen at liu.se) who is also the project manager, or by Professor Michael Felsberg (michael.felsberg at liu.se) who is heading the lab. Applying Apply by following the instructions at the following link: https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=6238&rmlang=UK Application deadline is 2017-09-08, September 8. -------------- next part -------------- An HTML attachment was scrubbed... URL: From irodero at rutgers.edu Tue Aug 8 10:51:18 2017 From: irodero at rutgers.edu (Ivan Rodero) Date: Tue, 8 Aug 2017 14:51:18 +0000 Subject: Connectionists: Deadlines Approaching: IEEE/ACM Utility and Cloud Computing (UCC) / Big Data Computing Applications and Technology (BDCAT) 2017, Austin Texas Message-ID: [https://gallery.mailchimp.com/c6aba03a8efbf3f930697cd37/images/f03b8c7d-6e66-437d-842c-a12027504e3a.png] Join us in beautiful Austin, Texas Dec. 5-8, 2017 The Utility and Cloud Computing (UCC) and co-located Big Data Computing Applications and Technology (BDCAT) have built up a world-wide reputation as the premier event focused on real-world application of advanced academic concepts in large-scale distributed computing. Join us for this exciting event! Submission deadlines approaching! Submit your proposals for associated events, industry and research panel topics, invited speakers, and paper submissions to the main UCC and BDCAT conferences and to the associated topical workshops and tutorials at the links below. Deadlines are approaching soon! Book your lodging now to be sure of a room at the conference venue. Take a virtual tour of the conference venue to see more of the facility. Note that lodging is highly sought after in Austin at this time of year, so book your lodging now to be assured of conference rates! The Conferences 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. http://ucc-conference.org The 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017) aims to provide a timely, informative platform for researchers from both academia and industry to present new discoveries in the broad area of big data computing and applications. http://bdcat-conference.org Associated Workshops, Tutorials, and Events The following workshops and associated events have been accepted and the call for workshops is now closed. Please visit the workshop web pages listed below for further information. Proposals for tutorials will be accepted until July 31, 2017 and accepted tutorials will be announced by August 27, 2107. * CCSTIM: International Workshop on Cloud Computing Security Threats, Intelligence, and Mitigation Workshop contact: Simon Parkinson (ccstim17(at)easychair.org) Submission Link: https://easychair.org/conferences/?conf=ccstim17 * CloudAM: The 6th International Workshop on Clouds and (eScience) Applications Management. Workshop contact: Luiz Fernando Bittencourt (bit(at)ic.unicamp.br) Submission Link: https://easychair.org/conferences/?conf=cloudam2017 * DAAC: The 1st International Industry/University Workshop on Data-center Automation, Analytics, and Control. Workshop contacts: Dong Dai (dong.dai(at)ttu.edu), Jerry Perez (jerry.perez(at)ttu.edu) Submission Link: https://easychair.org/conferences/?conf=daac2017 * GDDC: 1st International Workshop on Game Development and Design in the Cloud. Workshop contact: Minsi Chen (M.Chen(at)derby.ac.uk). Submission Link: https://easychair.org/conferences/?conf=iwgddc2017 * HDCC: The 1st International Workshop on Heterogeneous, Distributed Cloud Computing. Workshop contact: Se?n Murphy (murp(at)zhaw.ch) Submission Link: https://easychair.org/conferences/?conf=hdcc17 * RTDPCC: The 3rd International Symposium on Real-time Data Processing for Cloud Computing. Workshop contacts: Xiaojun Zhai (x.zhai(at)derby.ac.uk), Faycal Bensaali (f.bensaali(at)qu.edu.qa, Lu Liu (l.liu(at)derby.ac.uk) Submission Link: https://easychair.org/conferences/?conf=rtdpcc2017ii * SCCTSA: The 4th International Workshop on Smart City Clouds: Technologies, Systems and Applications. Workshop contact: Zaheer Khan (zaheer2.khan(at)uwe.ac.uk) Submission Link: https://easychair.org/conferences/?conf=scctsa2017 * SD3C: The 3rd International Workshop on Sustainable Data Centers and Cloud Computing. Workshop contacts: Luca Chiaraviglio (luca.chiaraviglio(at)gmail.com), George Koutitas (george.koutitas(at)gmail.com) Submission Link: https://easychair.org/conferences/?conf=sd3c2017 * UCIoT: International Workshop on Utility Clouds for the Internet of Things Workshop contacts: Louie Qin (Yongrui.Qin (at) hud.ac.uk), Richard Hill (R.Hill (at) hud.ac.uk) Submission Link: https://easychair.org/conferences/?conf=uciot2017 [https://gallery.mailchimp.com/c6aba03a8efbf3f930697cd37/images/25560e13-84d0-4eec-a93d-eab7cbf185fc.png] State of the Art Research Top-notch researchers from throughout the world give presentations on their most up-to-date studies and projects. [https://gallery.mailchimp.com/c6aba03a8efbf3f930697cd37/images/e74f8df1-bdcd-4dab-bdf6-080ec23c0a7e.jpg] Expert Panelists Keynotes and expert panels cover topics from academics and industry. Keep Reading [https://gallery.mailchimp.com/c6aba03a8efbf3f930697cd37/images/20301487-ac51-4397-bfb6-75cf664f41d9.jpg] Awards & Opportunities Students, industry members, keynote speakers and researchers interact with each other through sessions, tutorials and workshops, best poster and paper awards. [https://gallery.mailchimp.com/c6aba03a8efbf3f930697cd37/images/7917830f-1ed3-4602-a922-190b1a20e0f2.jpg] Tour of TACC A social opportunity including a tour of the resources at the Texas Advanced Computing Center will be arranged for a limited number of conference participants. See you in Austin Dec. 5-8, 2017! -- ============================================================= 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 compsens at medizin.uni-tuebingen.de Wed Aug 9 07:12:49 2017 From: compsens at medizin.uni-tuebingen.de (Compsens) Date: Wed, 09 Aug 2017 13:12:49 +0200 Subject: Connectionists: PhD / Postdoc in Computational Neuroscience, Tuebingen, Germany Message-ID: <20170809131249.Horde.kkVgraXTFpc1wPqxEulPDrI@webmail.uni-tuebingen.de> PHD / POSTDOC POSITION: DEEP LEARNING ARCHITECTURES FOR HIERARCHICAL MOTOR CONTROL (Hertie Institute / Center for Integrative Neuroscience, University of Tuebingen, Germany) The Section for Computational Sensomotorics at the Center for Integrative Neurosciences (CIN) and the Hertie Institute for Clinical Brain Research (HIH) at the University of Tuebingen invites applications for a PhD student/ Postdoc for a project on the learning of hierarchical neural models for motor control. The position is funded for within a collaborative project with M.I.T. (Cambridge, MA), the Weizmann Institute (Rehovot, Israel), and Northeastern University (Boston, USA). Salary is according to German DFG standards. The goal of the project is to develop biologically-inspired machine-learning techniques for the modeling of hierarchical representations in motor control, specifically exploiting new techniques from the field of Deep Learning. What we offer: ?possibility to obtain a PhD in Neuroscience in the international Graduate Training Center for Neuro-science in Tuebingen (offering > 40 courses in almost all relevant fields of neuroscience and ML) ?top scientific environment (HIH among top 3 European institutions for clinical brain research; CIN is a Research Cluster as part of German Excellence Initiative; Bernstein Center for Computational Neuroscience; Tuebingen hosts 3 Max Planck Institutes: Biological Cybernetics, Intelligent Systems, and Developmental Biology) ?close collaborations with leading international partners in neuro- and computer science What we are looking for: ?person with Masters degree in Computational Neuroscience or a related discipline (Computer Science, Engineering, Physics, Mathematics, Cognitive Science, Mathematical Psychology, etc.) ?highly-motivated person with enthusiasm for research, high degree of independence, and motivation of self-driven pursuit of difficult problems ?strong mathematical background and basic programming skills (at least in C++ , MATLAB or Python); willingness to learn relevant techniques and software for deep learning, and the simulation of biological neurons ?interest in motor control and related technical applications ?English speaking and writing skills. Committed to Equal Opportunities. Interested candidates should send their application, including a CV, all marks from studies, 2 letters of reference, and a short research statement of about one half page (explaining how your skills might support a project on learning of hierarchies in motor control) to: ------------------------------------------------------------------------------ Prof. Dr. Martin Giese Section for Theoretical Sensomotorics, Dept. for Cognitive Neurology Hertie Institute for Clinical Brain Research & Center for Integrative Neuroscience University of Tuebingen, Otfried-M?ller Str. 25, D-72076 Tuebingen GERMANY Tel.: +49 7071 2989124 Email: martin.giese at uni-tuebingen.de Web: http://www.compsens.uni-tuebingen.de/ From zoubin at eng.cam.ac.uk Wed Aug 9 19:29:28 2017 From: zoubin at eng.cam.ac.uk (Zoubin Ghahramani) Date: Thu, 10 Aug 2017 00:29:28 +0100 Subject: Connectionists: Two Postdoc Positions in Machine Learning at the University of Cambridge Message-ID: <2EFE4FD1-9439-457D-BFB5-400A4E29ABF4@eng.cam.ac.uk> Two Postdoctoral Research Positions in Machine Learning University of Cambridge, UK We are seeking two highly creative and motivated Research Assistants/Associates to join the Machine Learning Group at the University of Cambridge. The positions are for up to 24 months with a possible extension. Details below! http://www.jobs.cam.ac.uk/job/14617/ (Closing Date: 7 September 2017) http://www.jobs.cam.ac.uk/job/14619/ (Closing Date: 7 September 2017) The two positions are funded by Samsung. The successful candidates will collaborate with Professor Zoubin Ghahramani, Dr. Jos? Miguel Hern?ndez Lobato, Dr. Isabel Valera and Professor Carl E. Rasmussen, including one PhD student funded by the same grant and Samsung data scientists. Interviews are expected to happen in mid-September 2017 at the Department of Engineering. A skype interview will be possible for applicants who cannot attend in person. ???????? Post 1: This postdoctoral Research Fellow will be working on areas related to deep learning and Bayesian methods, as well as ideally having an interest in one-shot learning, semi-supervised learning and active learning. Experience in two or more of the following areas will be necessary: Bayesian methods, deep learning, one-shot learning, semi-supervised learning and active learning. http://www.jobs.cam.ac.uk/job/14617/ (Closing Date: 7 September 2017) ???????? Post 2: This postdoctoral Research Fellow will be working on automating machine learning methods, addressing problems of automatic data preprocessing and modelling, including missing data estimation and outlier identification. Experience in two or more of the following areas will be necessary: Bayesian methods, probabilistic programming, MCMC, graphical models, scalable inference. http://www.jobs.cam.ac.uk/job/14619/ (Closing Date: 7 September 2017) ???????? Successful applicants will have or be near to completing a PhD in computer science, information engineering, statistics, mathematics, physics, or a related area, with extensive research experience and a strong publication record. Ideally candidates will have papers in top machine learning conferences such as NIPS, UAI, ICML, ICLR or AISTATS. Excellent mathematical and programming skills are essential. If you have any questions about these vacancies or the application process, contact Mrs. Rachel Fogg, email: div-f at eng.cam.ac.uk, Tel: +44 1223 3 32752 Zoubin Ghahramani FRS Professor, Machine Learning Group, University of Cambridge | http://mlg.eng.cam.ac.uk Chief Scientist, Uber | https://www.uber.com/info/ailabs/ From azahkm at gmail.com Thu Aug 10 05:01:31 2017 From: azahkm at gmail.com (Azah Kamilah Muda) Date: Thu, 10 Aug 2017 17:01:31 +0800 Subject: Connectionists: =?utf-8?q?CFP_=3A_MIR_Labs_-_The_17th_Internation?= =?utf-8?q?al_Conference_on_Intelligent_Systems_Design_and_Applicat?= =?utf-8?q?ions_ISDA=E2=80=9917_-_Springer_=E2=80=93_Delhi=2C_INDIA?= Message-ID: Apologies for cross-posting. Kindly help to distribute this CFP to your mailing list. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -- The 17th International Conference on Intelligent Systems Design and Applications (ISDA?17) -- http://www.mirlabs.org/isda17 http://www.mirlabs.net/isda17 ** Important Dates ** ---------------------------------- Paper submission due: September 30, 2017 Notification of paper acceptance: October 31, 2017 Registration and Final manuscript due: November 15, 2017 Conference: December 14 - 16, 2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ About ISDA?17 : ------------------------- The International Conference on Intelligent Systems Design and Applications (ISDA) is a major international conference bringing together researchers, engineers, and practitioners who work in the areas of intelligent systems and its applications in industry and the real world. Every year, ISDA attracts authors from over 30 countries. The conference will include workshops, special sessions and tutorials, along with prominent keynote speakers and regular paper presentations in parallel tracks. All accepted and registered papers will be included in the conference proceedings to expected be published by Springer. Topics ( not limited to ) ----------------------------- Intelligent Systems Architectures and Applications Intelligent Image and Signal Processing Intelligent Internet Modeling Intelligent Data mining Intelligent Business Systems Intelligent Control and Automation Intelligent Agents Intelligent Knowledge Management Innovative Information Security Innovative Networking and Communication Techniques Web Intelligence Intelligent Software Engineering ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Submission Guidelines: ------------------------------------------------------ Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: http://www.springer.com/series/11156 Proceedings are expected to be published by the Advances in Intelligent and Soft Computing, which is now indexed by ISI Proceedings, DBLP. Ulrich's, EI-Compendex, SCOPUS, Zentralblatt Math, MetaPress, Springerlink Proceedings will be made available during the conference. Expanded versions of selected papers will be published in special issues of internationally referred journals (indexed by SCI) and edited volumes. ISDA?17 Submission : https://easychair.org/conferences/?conf=isda2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * Organizing Committee * ---------------------------------- General Chairs : Ajith Abraham, Machine Intelligence Research Labs, USA Pranab Kr. Muhuri, South Asian University, Delhi Technical Committee (Please refer website ) : http://www.mirlabs.net/isda17/committees.php For technical contact: ---------------------------------- Ajith Abraham Email: ajith.abraham at ieee.org -- Best Regards, Azah Muda -------------- next part -------------- An HTML attachment was scrubbed... URL: From dengdehao at gmail.com Thu Aug 10 22:16:43 2017 From: dengdehao at gmail.com (Teng Teck Hou) Date: Fri, 11 Aug 2017 10:16:43 +0800 Subject: Connectionists: [INNS-BDDL 2018] Call for Papers Message-ID: <009601d31247$e13744b0$a3a5ce10$@gmail.com> [Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Sanur - 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 3 rd INNS Conference on Big Data and Deep Learning 2018 (INNS BDDL 2018) will be held on April 18 ? 19, 2018 in Sanur ? Bali, Indonesia. The aim of this conference is 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 papers will be published by Elsevier, Scopus indexed. 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) 15 September 2017 * Tutorial and workshop proposals (Decision) 30 September 2017 * Paper submission 2 November 2017 * Decision notification 31 December 2017 * Conference 17 - 19 April 2018 ################################################################### Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA #################### 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 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 Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore 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 Hendro Nurhadi, Institut Teknologi Sepuluh Nopember, 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 ############################################################################ -------------- next part -------------- An HTML attachment was scrubbed... URL: From azahkm at gmail.com Sun Aug 13 03:27:25 2017 From: azahkm at gmail.com (Azah Kamilah Muda) Date: Sun, 13 Aug 2017 15:27:25 +0800 Subject: Connectionists: =?utf-8?q?MIR_Labs_CFP_=3A_--_The_17th_Internatio?= =?utf-8?q?nal_Conference_on_Hybrid_Intelligent_Systems_=28HIS=2717?= =?utf-8?q?=29_-_Springer_=E2=80=93_Delhi=2C_INDIA?= Message-ID: Apologies for cross-posting. Kindly help to distribute this CFP to your mailing list. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -- The 17th International Conference on Hybrid Intelligent Systems (HIS'17) -- http://www.mirlabs.org/his17 http://www.mirlabs.net/his17 ** Important Dates ** ---------------------------------- Paper submission due: September 30, 2017 Notification of paper acceptance: October 31, 2017 Registration and Final manuscript due: November 15, 2017 Conference: December 14 - 16, 2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ About HIS'17: ------------------------- Conference Objective: Hybridization of intelligent systems is a promising research field of modern artificial/computational intelligence concerned with the development of the next generation of intelligent systems. A fundamental stimulus to the investigations of Hybrid Intelligent Systems (HIS) is the awareness in the academic communities that combined approaches will be necessary if the remaining tough problems in artificial/computational intelligence are to be solved. Hybrid Intelligent Systems are getting popular due to their capabilities in handling several real world complexities involving imprecision, uncertainty and vagueness. HIS'16 invites novel contributions/papers of soft computing and pattern recognition from fundamental aspects to various practical applications. All accepted and registered papers will be included in the conference proceedings to expected be published by Springer. Topics ( not limited to ) ----------------------------- ** Hybrid Intelligent Systems: Architectures ** Interactions between neural networks and fuzzy inference systems. Artificial neural network optimization using global optimization techniques. Fuzzy clustering algorithms and optimization techniques. Fuzzy inference system optimization using global optimization algorithms. Hybrid computing using neural networks - fuzzy systems - evolutionary algorithms. Hybrid optimization techniques (evolutionary algorithms, simulated annealing, tabu search, GRASP etc.). Hybrid of soft computing and statistical learning techniques. Models using inductive logic programming, logic synthesis, grammatical inference, case-based reasoning. Autonomic computing. Hybridizatiion with novel computing paradigms: Qantum computing, DNA computing, membrane computing etc. ** Hybrid Intelligent Systems: Applications ** Image and Signal Processing Internet Modeling, Communication and Networking Data mining Computational Biology and Bioinformatics Business Information Systems Control and Automation Special topics ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Submission Guidelines: ------------------------------------------------------ Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: http://www.springer.com/series/11156 Proceedings are expected to be published by the Advances in Intelligent and Soft Computing, which is now indexed by ISI Proceedings, DBLP. Ulrich's, EI-Compendex, SCOPUS, Zentralblatt Math, MetaPress, Springerlink Proceedings will be made available during the conference. Expanded versions of selected papers will be published in special issues of internationally referred journals (indexed by SCI) and edited volumes. HIS?17 Submission : https://easychair.org/conferences/?conf=his20171. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * Organizing Committee * ---------------------------------- General Chairs : Ajith Abraham, Machine Intelligence Research Labs, USA Pranab Kr. Muhuri, South Asian University, Delhi Technical Committee ( Please refer website ) : http://www.mirlabs.net/his17/committees.php For technical contact: ---------------------------------- Ajith Abraham Email: ajith.abraham at ieee.org -- Best Regards, Azah Muda -------------- next part -------------- An HTML attachment was scrubbed... URL: From diego.sona at gmail.com Fri Aug 11 12:02:14 2017 From: diego.sona at gmail.com (Diego Sona) Date: Fri, 11 Aug 2017 18:02:14 +0200 Subject: Connectionists: Fully funded PhD position on computational methods for brain connectivity analysis Message-ID: We are seeking candidates for a PhD position entitled ?Computational Methods for Brain Connectivity Analysis?. The research will aim at developing novel approaches based on machine learning for the analysis of structural and functional brain connectivity from neuroimaging data (e.g., fMRI, rsMRI, DTI, MEG, EEG, etc.). The aim is to better understand the brain and characterize the neurological and neurodegenerative diseases. The successful candidate will have the opportunity to work in an interdisciplinary environment. The applicant should have a background in machine learning and pattern recognition methodologies with a keen interest in neuroscience. The PhD grant is jointly supported by Fondazione Bruno Kessler (FBK) and Istituto Italiano di Tecnologia (IIT). The research activity will take place at the Neuroinformatics Laboratory (NILab, https://nilab.fbk.eu/ ) and the Pattern Analysis and Computer Vision Laboratory (PAVIS, http://pavis.iit.it/ ). NILab is an interdisciplinary laboratory raised as joint initiative between the Centre for Information Technology of FBK and the Centre for Mind/Brain Sciences of University of Trento (CIMeC, http://www.cimec.unitn.it ). Interested candidates must apply for the PhD grant following the instructions in the call published by Universit? degli studi di Trento (see the application webpage http://ict.unitn.it/application/ict_doctoral_school ) referring to position A5. Deadline for the formal application is August 31, 2017, hrs. 04.00 PM (Italian time, GMT +2) Interested candidates are also invited to contact Paolo Avesani (avesani at fbk.eu ) and Diego Sona (diego.sona at iit.it ) by emailing their CV and a short statement of interest in this position. For further information on the position and the application process refers to the following links http://ict.unitn.it http://ict.unitn.it/application/project_specific_grants Diego Sona --------------------------------------------------------- Pattern Analysis & Computer Vision (PAVIS) Istituto Italiano di Tecnologia (IIT) Via Morego 30, 16163, Genova, Italy Phone: +39 010 71781 819 E-mail: diego.sona at iit.it pavis.iit.it/people/diego-sona --------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From felix.putze at uni-bremen.de Fri Aug 11 11:11:27 2017 From: felix.putze at uni-bremen.de (Felix Putze) Date: Fri, 11 Aug 2017 17:11:27 +0200 Subject: Connectionists: Early stage researcher positions (PhD students) in Machine Learning and Biosignal Processing in Bremen, Germany Message-ID: We are looking for two early stage researchers (fully funded for 4 years) in the area of Machine Learning and Biosignal Processing within the framework of the Collaborative Research Center (CRC) EASE funded by the German Research Foundation (DFG). The candidate will become a member of the graduate program of the CRC at the Universit?t Bremen (Germany) with the purpose of successfully completing a PhD degree in Computer Science. The CRC "Everyday Activity Science and Engineering" (EASE) is a fundamental research endeavor to investigate the cognitive information processing principles employed by humans to master everyday activities and to transfer the obtained insights to models for autonomous control of autonomous robotic agents. The aim of EASE is to boost the robustness, efficiency, and flexibility of various information processing subtasks necessary to master everyday activities by uncovering and exploiting the structures within these tasks. As one of three major research pillars, research area H ?Descriptive models of human everyday activity? aims to understand how people perform vaguely formulated everyday activities. Based on state-of-the-art machine learning techniques and an existing biosignal processing framework available at Cognitive Systems Lab, the task is to develop and implement unsupervised and semi-supervised learning algorithms that interpret high-volume multimodal biosignal data of humans performing everyday activities. It includes the acquisition of a large-scale data collection on everyday activities consisting of biosignals related to speech, motion, muscles and brain activity. This task will be carried out in collaboration with several Early Stage Researcher fellows. Details can be found here: http://www.uni-bremen.de/en/university/the-university-as-an-employer/job-vacancies/detailansicht/joblist/Job/show/early-stage-researcher-3296.html -- Dr.-Ing. Felix Putze E-Mail: felix.putze at uni-bremen.de Phone: +49 421 218 64272 University of Bremen Cognitive Systems Lab (CSL) Enrique-Schmidt-Stra?e 5 (Cartesium) 28359 Bremen From timvogels at gmail.com Mon Aug 14 05:01:57 2017 From: timvogels at gmail.com (Tim Vogels) Date: Mon, 14 Aug 2017 10:01:57 +0100 Subject: Connectionists: DEADLINE TOMORROW: IBRO SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO 2018 Message-ID: 48 hours until we close applications for the #isi2018 on August 15th at 23:59 Pacific Time . IBRO SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2018 APPLY NOW A Course to strengthen African Computational and Theoretical Neuroscience. from 7 - 28 January 2018, Muizenberg Beach, Cape Town, South Africa http://isicni.gatsby.ucl.ac.uk Poster: http://isicni.gatsby.ucl.ac.uk/img/poster2018c.png The #isiCNI2018 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of experimental and computational neuroscience. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. Who should apply? This course is aimed at Masters and PhD level students though Honours or Postdoctoral students may also apply. Students should sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR * Generous scholarships and travel stipends are available based on merit and need * Application deadline: 15th August 2017 * Notification of results: End of September 2017 Information and application http://isicni.gatsby.ucl.ac.uk Application form http://tinyurl.com/yc6zbvpo Questions? isicn.imbizo at gmail.com What is an Imbizo? \?m?bi?z?\ | Xhosa - Zulu A gathering of the people to share knowledge. FACULTY Larry Abbott - Columbia University Adrienne Fairhall - Washington University Peter Latham - University College London Blake Richards - University of Toronto Eve Marder* - Brandeis University Timothy Lillicrap - Google DeepMind Mate Lengyel - University of CambridgeJoseph Raimondo - University of Cape Town Yiota Poirazi - Foundation for Research and Technology - Hellas Srikanth Ramaswamy - EPFL Lausanne Tim Vogels - University of Oxford Byron Yu - Carnegie Mellon University and special guests, to be announced Alex Antrobus (Gatsby Unit, UCL) Athanasia Papoutsi (Foundation for Research and Technology - Hellas) William Podladski (University of Oxford ) Friedemann Zenke (Stanford University / University of Oxford) Agostina Palmigiano (Universit?t G?ttingen) Katharina Wilmes (Imperial College London) (* = not confirmed) DIRECTORS Peter Latham (Gatsby Unit for Computational Neuroscience, UCL, UK) Joseph Raimondo (University of Cape Town, South Africa) Tim Vogels (University of Oxford, UK) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org ), IBRO, the International Brain Research Organisation (http://ibro.info ), and the Wellcome Trust (wellcome.ac.uk ) Organizational Affiliates University of Cape Town, University College London, University of Oxford, TReND in Africa , CNCB , Gatsby Foundation , IBRO African Center for Advanced Training in Neurosciences at UCT ---------------- Dr Tim Vogels Sir Henry Dale Research Fellow, Associate Professor Centre for Neural Circuits and Behaviour and Oriel College Department of Physiology, Anatomy & Genetics University of Oxford Mansfield Road Oxford, OX1 3SR http://cncb.ox.ac.uk http://www.neurotheory.ox.ac.uk/~timv -------------- next part -------------- An HTML attachment was scrubbed... URL: From Jeremie.Cabessa at u-paris2.fr Mon Aug 14 06:51:00 2017 From: Jeremie.Cabessa at u-paris2.fr (=?utf-8?b?SsOpcsOpbWll?= Cabessa) Date: Mon, 14 Aug 2017 12:51:00 +0200 Subject: Connectionists: Funded PhD Position in Game Theory, University Paris 2, France: apply ASAP! Message-ID: <20170814125100.Horde.lNEPL0KbokJotMGyKqt_cP2@courriel.u-paris2.fr> The Laboratory of Mathematical Economics at the University Paris 2 - Panth?on-Assas is offering one funded PhD position in Economics in the fields of Game Theory, Epistemic Game Theory, Interactive Epistemology, or some other topic related to Game Theory to be agreed with the candidate. http://lemma.u-paris2.fr/en/node/100 Applicants need to be holder of a Master's degree preferably in Economics or Mathematics, obtained prior to the contract's starting date (end of September 2017). Deadline for the formal application is September 4, 2017, but a first contact as soon as possible would be ideal to have enough time to prepare the application. Hence, interested candidates are invited to send their resume as soon as possible directly to J?r?mie Cabessa at jeremie.cabessa at u-paris2.fr. Interested candidates should not hesitate to apply quickly. For any further information you may require, please also contact J?r?mie Cabessa. With kind regards, J?r?mie Cabessa E-mail: jeremie.cabessa at u-paris2.fr ************************************** J?r?mie Cabessa Associate Professor Laboratoire d'?conomie math?matique et de micro?conomie appliqu?e (LEMMA) Universit? Paris 2 - Panth?on-Assas 4, rue Blaise Desgoffes, 75006 Paris jeremie.cabessa at u-paris2.fr ************************************** From yang at maebashi-it.org Tue Aug 15 04:28:00 2017 From: yang at maebashi-it.org (Yang) Date: Tue, 15 Aug 2017 17:28:00 +0900 Subject: Connectionists: [Deadline Extended] - BI 2017 - Call for Abstracts Message-ID: <1B53A8B67C704C0DAD60D20E86F63A0C@yangPC> [Apologies if you receive this more than once] CALL FOR ABSTRACTS The 2017 International Conference on Brain Informatics (BI'17) "Investigating the Brain and Mind from Informatics Perspective" November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ --------------------------------------- SUBMISSION DEADLINE: August 30, 2017 One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B --------------------------------------- *** INVITED SPEECHES *** 1. "Multimodal Modelling of Network Propagation of Neuropathology in Dementia" Alan Evans (McGill University, Canada) 2. "Neural Correlates of Word, Sentence and Story Comprehension" Tom Mitchell (Carnegie Mellon University, US) 3. "The Cognitive Neural Basis of Object Knowledge" Yanchao Bi (Beijing Normal University, China) 4. "Harnessing Large-Scale Data-Sharing to Drive Discovery and Bench-to-Bedside Translation in Traumatic Brain Injury and Spinal Cord Injury" Adam Ferguson (University of California San Francisco, US) 5. "Computational Psychophysiology Based Research Methodology for Mental Health" Bin Hu (Lanzhou University, China) 6. "Multiscale Gene Expression Signatures in the Mammalian Brain in Health and Disease" Michael Hawrylycz (Allen Institute for Brain Science, US) 7. "Machine Learning in Medical Imaging Analysis" Dinggang Shen (University of North Carolina at Chapel Hill, US) *** WORKSHOPS AND SPECIAL SESSIONS *** ++++++++++++++++++++++++++++++++++++++++++++ Abstract submission (TYPE II) is still open! ++++++++++++++++++++++++++++++++++++++++++++ To submit abstracts to workshops/special sessions, please visit http://bii.ia.ac.cn/bi-2017/workshops.htm # Workshop on Brain and Artificial Intelligence (BAI 2017) Organizers: Yi Zeng, Chinese Academy of Sciences, China Shuliang Wang, Beijing Institute of Technology, China # Workshop on Knowledge Representation: Brain and Machine (KRBM 2017) Organizers: Yanchao Bi, Beijing Normal University, China Yi Zeng, Chinese Academy of Sciences, China # Workshop on Affective, Psychological and Physiological Computing (APPC 2017) Organizers: Bin Hu, Lanzhou University, China Zhijun Yao, Lanzhou University, China Mi Li, Beijing University of Technology, China # Workshop on Big Data and Visualization for Brainsmatics (BDVB 2017) Organizers: Qingming Luo, Huazhong University of Science and Technology, China Anan LI, Huazhong University of Science and Technology, China # Workshop on Brain Big Data Based Wisdom Service (BBDBWS 2017) Organizer: Jiajin Huang, Beijing University of Technology, China # Workshop on Semantic Technology for eHealth (STeH 2017) Organizers: Jiao Li, Chinese Academy of Medical Sciences, China Zhisheng Huang, Vrije University Amsterdam, The Netherlands # Workshop on Big Data Neuroimaging Analytics for Brain and Mental Health (BDNABMH 2017) Organizer: Shouyi Wang, University of Texas at Arlington, USA # Workshop on Novel Methods of the Brain Imaging in the Clinical and Preclinical Neuroscience (NMBICPN 2017) Organizers: Vassiliy Tsytsarev, University of Maryland School of Medicine, USA Vicky Yamamoto, Keck School of Medicine of USC, USA Yan Li, University of Southern Queensland, Australia # The 1st International Workshop on Deep Learning in Brain MRI and Pathology Images (DLBMPI 2017) Organizers: Yan Xu, School of Biological Science and Medical Engineering, BUAA Eric Chang, Microsoft Research Asia # Workshop on Mesoscopic Brainformatics (MBAI 2017) Organizers: Dezhong Yao, University of Electronic Science and Technology of China, China Pedro A. Valdes-Sosa, University of Electronic Science and Technology of China, China Yong He, Beijing Normal University, China Li Dong, University of Electronic Science and Technology of China, China # Special Session on Brain Informatics in Neurogenetics (BIN 2017) Organizers: Hong Liang, Harbin Engineering University, China Lei Du, Northwestern Polytechnical University, China Li Shen, Indiana University School of Medicine, USA # Special Session on BigNeuron Project (BP 2017) Organizers: Zhi Zhou, Allen Institute for Brain Sciences, USA Min Liu, Hunan University, China ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing IMPORTANT DATES : =========================== May 1, 2017: Submission deadline for full papers June 20, 2017: Notification of full paper acceptance July 20, 2017: Submission deadline for workshop/special-session papers August 30, 2017: Submission deadline for abstracts (TYPE-II) (for both main conference and workshops/special sessions) November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference ABSTRACT (TYPE-II) SUBMISSIONS : ================================= (Submission Deadline: August 30, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. ----------------------------------------------- One-line submission: https://wi-lab.com/cyberchair/2017/bi17/scripts/submit.php?subarea=B ----------------------------------------------- *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted abstracts from the conference will be expanded and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang at ia.ac.cn shouyiw at uta.edu yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomaskreuz at gmail.com Tue Aug 15 08:02:19 2017 From: thomaskreuz at gmail.com (Thomas Kreuz) Date: Tue, 15 Aug 2017 14:02:19 +0200 Subject: Connectionists: Leaders and followers: Quantifying consistency in spatio-temporal propagation pattern Message-ID: Dear all, may I kindly draw your attention to our paper on the new multivariate directional measure *SPIKE-Order*. In this paper we propose a new approach to quantify consistency of spatio-temporal propagation patterns in sequences of discrete events (e.g. spike trains). This includes a sorting from leader to follower. As usual we show some applications to neurophysiological data. *Leaders and followers: Quantifying consistency in spatio-temporal propagation pattern * Thomas Kreuz, Eero Satuvuori, Martin Pofahl and Mario Mulansky New J. Phys., *19*, 043028 (2017). Abstract: Repetitive spatio-temporal propagation patterns are encountered in fields as wide-ranging as climatology, social communication and network science. In neuroscience, perfectly consistent repetitions of the same global propagation pattern are called a *synfire pattern*. For any recording of sequences of discrete events (in neuroscience terminology: sets of spike trains) the questions arise how closely it resembles such a synfire pattern and which are the spike trains that lead/follow. Here we address these questions and introduce an algorithm built on two new indicators, termed *SPIKE-order* and *spike train order*, that define the *synfire indicator* value, which allows to sort multiple spike trains from leader to follower and to quantify the consistency of the temporal leader-follower relationships for both the original and the optimized sorting. We demonstrate our new approach using artificially generated datasets before we apply it to analyze the consistency of propagation patterns in two real datasets from neuroscience (giant depolarized potentials in mice slices) and climatology (El Ni?o sea surface temperature recordings). The new algorithm is distinguished by conceptual and practical simplicity, low computational cost, as well as flexibility and universality. Implementations are provided online in three free code packages called SPIKY (Matlab GUI), PySpike (Python library) and, most recently, cSPIKE (Matlab command line with MEX-files). Best regards, Thomas Kreuz PS: Three further recent articles: *Measures of spike train synchrony for data with multiple time scales * Eero Satuvuori, Mario Mulansky, Nebojsa Bozanic, Irene Malvestio, Fleur Zeldenrust, Kerstin Lenk, Thomas Kreuz JNeurosci Methods *287*, 25 (2017). Background Measures of spike train synchrony are widely used in both experimental and computational neuroscience. Time-scale independent and parameter-free measures, such as the ISI-distance, the SPIKE-distance and SPIKE-synchronization, are preferable to time scale parametric measures, since by adapting to the local firing rate they take into account all the time scales of a given dataset. New method In data containing multiple time scales (e.g. regular spiking and bursts) one is typically less interested in the smallest time scales and a more adaptive approach is needed. Here we propose the A-ISI-distance, the A-SPIKE-distance and A-SPIKE-synchronization, which generalize the original measures by considering the local relative to the global time scales. For the A-SPIKE-distance we also introduce a rate-independent extension called the RIA-SPIKE-distance, which focuses specifically on spike timing. Results The adaptive generalizations A-ISI-distance and A-SPIKE-distance allow to disregard spike time differences that are not relevant on a more global scale. A-SPIKE-synchronization does not any longer demand an unreasonably high accuracy for spike doublets and coinciding bursts. Finally, the RIA-SPIKE-distance proves to be independent of rate ratios between spike trains. Comparison with existing methods We find that compared to the original versions the A-ISI-distance and the A-SPIKE-distance yield improvements for spike trains containing different time scales without exhibiting any unwanted side effects in other examples. A-SPIKE-synchronization matches spikes more efficiently than SPIKE-synchronization. Conclusions With these proposals we have completed the picture, since we now provide adaptive generalized measures that are sensitive to firing rate only (A-ISI-distance), to timing only (ARI-SPIKE-distance), and to both at the same time (A-SPIKE-distance). *Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains * Irene Malvestio, Thomas Kreuz, Ralph G Andrzejak Physical Review E *96*, 022203 (2017). The detection of directional couplings between dynamics based on measured spike trains is a crucial problem in the understanding of many different systems. In particular, in neuroscience it is important to assess the connectivity between neurons. One of the approaches that can estimate directional coupling from the analysis of point processes is the nonlinear interdependence measure L. Although its efficacy has already been demonstrated, it still needs to be tested under more challenging and realistic conditions prior to an application to real data. Thus, in this paper we use the Hindmarsh-Rose model system to test the method in the presence of noise and for different spiking regimes. We also examine the influence of different parameters and spike train distances. Our results show that the measure L is versatile and robust to various types of noise, and thus suitable for application to experimental data. *SPIKE-order * Thomas Kreuz, Eero Satuvuori, Mario Mulansky Scholarpedia, *12*(7):42441 (2017). -- Institute for complex systems, CNR Via Madonna del Piano 10 50119 Sesto Fiorentino (Italy) Tel: +39-349-0748506 Email: thomas.kreuz at cnr.it Webpage: http://www.fi.isc.cnr.it/users/thomas.kreuz/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Tue Aug 15 08:49:54 2017 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Tue, 15 Aug 2017 12:49:54 +0000 Subject: Connectionists: Postdoctoral position / Optimizing NEST for Modular Supercomputing Architecture Message-ID: Dear Colleagues! I am looking for a post-doc to join my group to work on optimizing NEST for a novel modular supercomputing architecture developed by the DEEP-EST collaboration (http://www.deep-projects.eu) and to combine NEST simulations with simultaneous detailed LFP model (HybridLFPy) or spike-train analysis (Elephant) exploiting the heterogeneous DEEP-EST architecture. The position is funded by DEEP-EST, an EU FET-HPC project, coordinated by Forschungszentrum J?lich and involves academic and industry partners. The position is available immediately until the end of the project (June 2020). The full announcement for the position is available at https://www.jobbnorge.no/en/available-jobs/job/141149/postdoctoral-fellow-in-computational-science-refno-17-03405 Please get in touch if you have any questions! Hans Ekkehard Plesser -- Dr. Hans Ekkehard Plesser Associate Professor Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser From vcutsuridis at gmail.com Wed Aug 16 09:13:04 2017 From: vcutsuridis at gmail.com (Vassilis Cutsuridis) Date: Wed, 16 Aug 2017 14:13:04 +0100 Subject: Connectionists: Fully funded PhD studentship in Computational Neuroscience Message-ID: PhD Position in Computational Neuroscience (EU/UK candidates only) MLearn Research Group (http://mlearn.lincoln.ac.uk/) School of Computer Science University of Lincoln UK Applications are invited for a PhD position in the Machine Learning (MLearn) Research Group at the University of Lincoln. Projects involve the development and simulation of models of neuronal networks (microcircuits) of learning and memory in animal and human entorhinal cortex and hippocampus in health and disease (e.g. epilepsy, schizophrenia, Alzheimer's disease). A starting point of the project is the paper by Cutsuridis V, et al. (2010). Encoding and retrieval in the hippocampal CA1 microcircuit model. *Hippocampus*, 20(3): 423-446. Student applicants should have excellent computational and numerical skills and a very good first degree in computer science, engineering, maths, physics, or a related discipline. Successful student candidates are eligible for a research studentship award from the University (GBP 14,553 per annum bursary plus payment of the student fees). This PhD studentship is ONLY OPEN to UK/EU students. The ideal candidate should be highly motivated, technically skilled, a team player and driven to push forward the development of the next generation of deep associative memory neural-networks. Your written and spoken English skills should be excellent. As a PhD student, you may also have the opportunity to teach as a demonstrator in the School of Computer Science. Research in Computer Science at the University of Lincoln has been recognised as internationally excellent and world leading. The School of Computer Science 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 Lincoln, two hours northeast of London. Please contact Dr Vassilis Cutsuridis (vcutsuridis at lincoln.ac.uk) or Prof. Stefanos Kollias (skollias at lincoln.ac.uk) for informal enquiries. If you?re interested to apply, please email your CV, a brief statement of your scientific interests, and three reference letters to Dr. Vassilis Cutsuridis (vcutsuridis at lincoln.ac.uk) Applications will be assessed on a rolling basis. Vassilis Cutsuridis School of Computer Science University of Lincoln Lincoln LN6 7TS U.K. Tel: +44 (0) 1522 83 5107 Email: vcutsuridis at lincoln.ac.uk Web: http://staff.lincoln.ac.uk/vcutsuridis Personal Web: http://www.vassiliscutsuridis.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dzysman at mit.edu Wed Aug 16 13:12:18 2017 From: dzysman at mit.edu (Daniel Zysman) Date: Wed, 16 Aug 2017 17:12:18 +0000 Subject: Connectionists: Open position: Expert in machine learning and high-performance computing Message-ID: <559D50D3-132B-4831-BB21-A122713377F4@mit.edu> The Department of Brain and Cognitive Sciences seeks an expert in machine learning and high-performance computing to collaborate on cutting edge research on neuroscience, perception, cognition, and artificial intelligence. The department is a world leader in computational approaches to brain science, and is home to state-of-the-art computing resources as well as the Center for Brains, Minds and Machines, a multi-institutional NSF Science and Technology Center dedicated to the study of intelligence. Salary will be competitive with industry. To apply: https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails.do?functionName=getJobDetail&jobPostId=10436&localeCode=en-us For more information about our department: https://bcs.mit.edu/ Job Description: PROGRAMMER/SOFTWARE DEVELOPMENT ENGINEER/COMPUTATIONAL AND MACHINE LEARNING SPECIALIST, Brain and Cognitive Sciences, to help tackle challenging problems in high-performance computing methods and systems, machine learning, management of large datasets, and artificial intelligence. Responsibilities include helping researchers translate computational algorithms into efficiently functioning (especially parallelized and GPU optimized) code; assisting with installation and implementation of third-party tools; staying up-to-date with cutting-edge computational techniques; providing guidance for storage and management of large data sets; developing and maintaining online courses for computing resources, running in-person tutorials on specific software packages/tools, and helping transition users to new computing tools; providing educational support and training to users of the departmental computing cluster; and monitoring cluster usage and resolving problems. Job Requirements: Bachelor?s degree (advanced degree preferred) in a scientific field or computer science; at least four years? experience in scientific high-performance (cluster) computing; familiarity with Slurm and Lustre; broad computational background with knowledge of Unix, HPC algorithms, GPU computing, programming models, debuggers, and performance tools; software development experience, especially Python and MATLAB, but also R, Lua, JavaScript, etc.; knowledge of high-level APIs for HPC computing; expertise installing and maintaining third-party software in an HPC environment and with container technology, especially in the context of computational reproducibility; familiarity with mathematical algorithms for high-performance computing, use or design of HPC profiling or optimization tools, and deep neural networks; ability to work effectively with scientists and engineers; initiative, tact, and judgment in developing solutions for users; excellent interpersonal skills and ability to communicate effectively, orally, in writing, and via live presentations; demonstrated ability to assume leadership roles, grasp complex problems, and develop solutions; and extensive background in high-performance computing. MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. ------------------------------------------------------ Daniel Zysman Computational Course Co-Instructor MIT, Department of Brain & Cognitive Sciences -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1845 bytes Desc: not available URL: From irodero at rutgers.edu Thu Aug 17 08:05:28 2017 From: irodero at rutgers.edu (Ivan Rodero) Date: Thu, 17 Aug 2017 12:05:28 +0000 Subject: Connectionists: Deadline Extended: IEEE/ACM Utility and Cloud Computing (UCC) / Big Data Computing Applications and Technology (BDCAT) 2017, Austin Texas Message-ID: <9A7DEC6D-B0AC-4E9B-BC37-92169F8CAD90@rutgers.edu> Dear colleagues, Due to enormous number of requests, the organizing committee has decided to extend the paper submission deadline to August 30, 2017. Note this is a final extension. Please submit your paper on time. [cid:image001.png at 01D31722.B3985C30] Join us in beautiful Austin, Texas Dec. 5-8, 2017 The Utility and Cloud Computing (UCC) and co-located Big Data Computing Applications and Technology (BDCAT) have built up a world-wide reputation as the premier event focused on real-world application of advanced academic concepts in large-scale distributed computing. Join us for this exciting event! Submission deadlines approaching! Submit your proposals for associated events, industry and research panel topics, invited speakers, and paper submissions to the main UCC and BDCAT conferences and to the associated topical workshops and tutorials at the links below. Deadlines are approaching soon! Book your lodging now to be sure of a room at the conference venue. Take a virtual tour of the conference venue to see more of the facility. Note that lodging is highly sought after in Austin at this time of year, so book your lodging now to be assured of conference rates! The Conferences 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. http://ucc-conference.org The 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2017) aims to provide a timely, informative platform for researchers from both academia and industry to present new discoveries in the broad area of big data computing and applications. http://bdcat-conference.org Associated Workshops, Tutorials, and Events The following workshops and associated events have been accepted and the call for workshops is now closed. Please visit the workshop web pages listed below for further information. Proposals for tutorials will be accepted until July 31, 2017 and accepted tutorials will be announced by August 27, 2107. * CCSTIM: International Workshop on Cloud Computing Security Threats, Intelligence, and Mitigation Workshop contact: Simon Parkinson (ccstim17(at)easychair.org) Submission Link: https://easychair.org/conferences/?conf=ccstim17 * CloudAM: The 6th International Workshop on Clouds and (eScience) Applications Management. Workshop contact: Luiz Fernando Bittencourt (bit(at)ic.unicamp.br) Submission Link: https://easychair.org/conferences/?conf=cloudam2017 * DAAC: The 1st International Industry/University Workshop on Data-center Automation, Analytics, and Control. Workshop contacts: Dong Dai (dong.dai(at)ttu.edu), Jerry Perez (jerry.perez(at)ttu.edu) Submission Link: https://easychair.org/conferences/?conf=daac2017 * GDDC: 1st International Workshop on Game Development and Design in the Cloud. Workshop contact: Minsi Chen (M.Chen(at)derby.ac.uk). Submission Link: https://easychair.org/conferences/?conf=iwgddc2017 * HDCC: The 1st International Workshop on Heterogeneous, Distributed Cloud Computing. Workshop contact: Se?n Murphy (murp(at)zhaw.ch) Submission Link: https://easychair.org/conferences/?conf=hdcc17 * RTDPCC: The 3rd International Symposium on Real-time Data Processing for Cloud Computing. Workshop contacts: Xiaojun Zhai (x.zhai(at)derby.ac.uk), Faycal Bensaali (f.bensaali(at)qu.edu.qa, Lu Liu (l.liu(at)derby.ac.uk) Submission Link: https://easychair.org/conferences/?conf=rtdpcc2017ii * SCCTSA: The 4th International Workshop on Smart City Clouds: Technologies, Systems and Applications. Workshop contact: Zaheer Khan (zaheer2.khan(at)uwe.ac.uk) Submission Link: https://easychair.org/conferences/?conf=scctsa2017 * SD3C: The 3rd International Workshop on Sustainable Data Centers and Cloud Computing. Workshop contacts: Luca Chiaraviglio (luca.chiaraviglio(at)gmail.com), George Koutitas (george.koutitas(at)gmail.com) Submission Link: https://easychair.org/conferences/?conf=sd3c2017 * UCIoT: International Workshop on Utility Clouds for the Internet of Things Workshop contacts: Louie Qin (Yongrui.Qin (at) hud.ac.uk), Richard Hill (R.Hill (at) hud.ac.uk) Submission Link: https://easychair.org/conferences/?conf=uciot2017 [cid:image002.png at 01D31722.B3985C30] State of the Art Research Top-notch researchers from throughout the world give presentations on their most up-to-date studies and projects. [cid:image003.jpg at 01D31722.B3985C30] Expert Panelists Keynotes and expert panels cover topics from academics and industry. Keep Reading [cid:image004.jpg at 01D31722.B3985C30] Awards & Opportunities Students, industry members, keynote speakers and researchers interact with each other through sessions, tutorials and workshops, best poster and paper awards. [cid:image005.jpg at 01D31722.B3985C30] Tour of TACC A social opportunity including a tour of the resources at the Texas Advanced Computing Center will be arranged for a limited number of conference participants. See you in Austin Dec. 5-8, 2017! -- ============================================================= 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: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 558753 bytes Desc: image001.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 1115393 bytes Desc: image002.png URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.jpg Type: image/jpeg Size: 247266 bytes Desc: image003.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image004.jpg Type: image/jpeg Size: 237243 bytes Desc: image004.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image005.jpg Type: image/jpeg Size: 144730 bytes Desc: image005.jpg URL: From joseph.austerweil at gmail.com Thu Aug 17 10:39:41 2017 From: joseph.austerweil at gmail.com (Joseph Austerweil) Date: Thu, 17 Aug 2017 09:39:41 -0500 Subject: Connectionists: Postdoctoral researcher position in computational cognitive science Message-ID: Postdoctoral researcher position in computational cognitive science The Austerweil Lab at University of Wisconsin ? Madison is planning to hire a postdoctoral researcher to start by the beginning of September 2017 (start date is negotiable). The researcher will develop and implement computational agents that form and update beliefs based on their own observations and testimony of other agents that communicate according to a large-scale network. The position is funded as part of a team project on simulating information transmission over groups of psychologically-motivated statistical models. It would provide a unique opportunity to interact regularly with other members of the team that range different modeling paradigms and disciplines (ranging from sociologists to game-theorists to computer scientists). Requirements include a PhD in a relevant discipline (e.g., computer science, psychology, neuroscience, cognitive science, or computational linguistics), and proficiency with implementing models within at least one computational modeling or machine learning paradigm (e.g., Bayesian, deep learning, or logic-based approaches). Preference will be given to applications that have experience in/with any of the following skills and tools: previous experience with probabilistic modeling, modern frameworks for efficient machine learning methods (e.g., tensorflow, pymc3), computational network science, and/or agent-based modeling. Also, a commitment to the position for two years or more is preferred. If interested, please email Prof. Austerweil at austerweil at wisc.edu. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mark.humphries at manchester.ac.uk Thu Aug 17 15:42:57 2017 From: mark.humphries at manchester.ac.uk (Mark Humphries) Date: Thu, 17 Aug 2017 19:42:57 +0000 Subject: Connectionists: Late registration open for Integrated Systems Neuroscience Message-ID: <5B8F67ED-F1EC-41FC-8841-A0ED38EADFBB@manchester.ac.uk> Dear colleagues, late registration for the Integrated Systems Neuroscience meeting is now open until Friday September 1st Please register here: https://www.bmh.manchester.ac.uk/conferences-meetings/isn2017/ ISN is a forum for the state-of-the-art in systems and computational approaches to key neural circuits. This year our speakers range across population coding; decision-making; hippocampus; whole CNS imaging; cortical dynamics; and motor circuits Our Speakers Rune Berg (Copenhagen University) Tiago Branco (Sainsbury Wellcome Centre for Neural Circuits) Neil Burgess (Institute of Cognitive Neuroscience, UCL) Megan Carey (Champalimaud Institute, Lisbon) Claudia Clopath (Imperial College, London) Kate Jeffery (UCL) Christian Machens (Champalimaud Institute, Lisbon) Jonathan Pillow (Princeton) Simon Peron (New York University) Manuel Zimmer (IMP, Austria) ISN2017 is being held in Manchester, UK, on the 7-8th September. Any questions? Late-breaking poster? Please contact us at isn2017 at manchester.ac.uk Hope to see you in Manchester! Mark Humphries & Rasmus Petersen Dr Mark Humphries | MRC Senior non-Clinical Research Fellow | Faculty of Biology, Medicine & Health | University of Manchester @markdhumphries Public blog: medium.com/the-spike -------------- next part -------------- An HTML attachment was scrubbed... URL: From has168 at eng.ucsd.edu Fri Aug 18 05:06:21 2017 From: has168 at eng.ucsd.edu (Hao Su) Date: Fri, 18 Aug 2017 17:06:21 +0800 Subject: Connectionists: ShapeNet Challenge on Segmentation and Reconstruction - Call for participation Message-ID: ---------------------------------------------------------- ShapeNet Challenge - Call for Participation ---------------------------------------------------------- We invite you to participate in the ShapeNet challenge, (https://shapenet.cs.stanford.edu/iccv17/ ), whose results will be presented at ICCV 2017 Workshop on Learning to See from 3D Data. In recent years we have witnessed an explosion in the amount of 3D data that we can generate and store. On the one hand, better 3D modeling tools have enabled designers to build 3D models easily, resulting in an expansion in the size of 3D CAD model repositories. On the other hand, commodity depth sensors have allowed ordinary people to capture their own 3D scans conveniently. We need good techniques to design algorithms that successfully understand our 3D world. However, due to fundamental challenges in dealing with 3D representations and processing, there are still many open research issues. Two key research problems are (1) 3D shape reconstruction based on a single image, and (2) shape part level segmentation. Existing algorithms are usually evaluated on small datasets with a few hundreds of models, even though millions of 3D models are now available on the Internet. Thanks to the efforts of the ShapeNet team, we can now use a much larger and varied repository of 3D models to develop and evaluate new algorithms in computer vision and computer graphics. In this challenge, we aim to evaluate the performance of 3D reconstruction based on single image and shape part level segmentation on a subset of the ShapeNet dataset. Task 1 -- 3D reconstruction from a single image: reconstructing a 3D shape, given a single image as input. Task 2 -- 3D part segmentation: predicting a per point part label, given 3D shape point clouds and their category labels as input. The participants will have a chance to submit a report describing their system, which will be summarized and published. Furthermore, the groups of the best-performing systems will be invited to give an oral presentation at the workshop, Learning to See from 3D Data, at ICCV 2017 and others will be given the option of presenting a poster. Schedule: Aug. 8: Dataset released Sep. 15: Deadline for registering as participants. Please send email to shapenetchallenge.iccv17 at gmail.com to register. Sep. 30 11:59PM UTC: Deadline for sending results. Each participant should also submits a one-page method description with at most two figures. Submission is by email containing MD5 checksum and download link to results. Please submit results to shapenetchallenge.iccv17 at gmail.com . Oct. 7: Organizers carry out automatic evaluation and release evaluation results for all participants. Oct. 7: Organizers write a contest report with result details including method description from each participant. Oct. 22-29: Results are presented at ICCV 2017 Workshop on Learning to See from 3D Data. For more details on the task and data, please visit https://shapenet.cs.stanford.edu/iccv17/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From p.geurts at ulg.ac.be Fri Aug 18 10:14:24 2017 From: p.geurts at ulg.ac.be (Pierre Geurts) Date: Fri, 18 Aug 2017 16:14:24 +0200 Subject: Connectionists: PhD positions in machine/deep learning for enriching heritage collections Message-ID: <397259C8-A6F8-4300-8CBC-E892370FAF76@ulg.ac.be> The Departments of Literature and Linguistics (Faculty of Arts and Philosophy) of the University of Antwerp and the Montefiore Institute (Faculty of Applied Sciences) of the University of Li?ge are seeking to fill two full-time (100%) vacancies for Doctoral Grants in the area of machine/deep learning, language technology, and/or computer vision for enriching heritage collections. The two positions are available within the framework of the INSIGHT (Intelligent Neural Systems as InteGrated Heritage Tools) project, funded by the Belgian Science Policy Office. This project unites academic partners from Li?ge and Antwerp with stakeholders from the heritage sector (Royal Museums of Fine Arts / Art and History, Brussels). The project focuses on multimodal applications of ?deep? representation learning to enrich and improve access to heritage collections and push boundaries in computational art history. The Platform for Digital Humanities in the University of Antwerp engages with multiple aspects of the application of computing technologies in the Humanities. The CLiPS research center focuses on the application of statistical and machine learning methods in language technology. Scholars in the department of literature focus on the application of X-technologies and Machine Learning in literary studies. The department of Electrical Engineering and Computer Science of the University of Li?ge has developed a strong expertise in machine learning and its application in various fields such as computer vision. In this latter domain, ULg partners involved in the project have developed the opensource Cytomine platform for advanced image analysis. Job description * You prepare a doctoral thesis in the field of machine/deep learning, language technology, and computer vision in the context of heritage studies. * You publish scientific articles related to the research project of the assignment. * You contribute to teaching and research in the host departments. Profile and requirements * You hold a master degree in a field, broadly relevant to Digital Humanities, Art History, Computer Science, Linguistics, Computer Vision, and/or Machine Learning. * You can submit outstanding academic results. * Foreign candidates are encouraged to apply. * You are quality-oriented, conscientious, creative and cooperative. * The ideal candidate will have demonstrable, first-hand experience in Machine Learning for computer vision or for Language Technology (in the Digital Humanities), in particular distributional semantics (word embeddings) and representation learning. * You have an excellent knowledge of academic English. Knowledge of Dutch or French is not required but is an asset for the project. * The ideal candidate has demonstrable experience in a programming language such as Python, and ideally also deep learning frameworks, such as Tensorflow or PyTorch. * The ideal candidate will have a broad interest in heritage, the GLAM sector and/or art history. We offer * A doctoral scholarship for a period of two years, with the possibility of renewal for a further two-year period after positive evaluation; * The start date of scholarship will be October 1st, November 1st or December 1st 2017 or January 1st 2018; * A dynamic and stimulating work environment. One PhD student is expected to be mainly located in Antwerp and the other one in Li?ge, with exchange stays planned between the two Universities. Double doctoral degrees will be envisaged. Interested? * Applications should be submitted by email and should include a copy of your CV, a cover letter and, if available, a research paper / MA thesis and a link to the candidate?s portfolio page, with code samples, on a site such a GitHub. The positions remain open until fulfilled. * For application or questions about the profile and the description of duties, please contact Prof. Mike Kestemont, mike.kestemont(at)uantwerp.be or Prof. Pierre Geurts, p.geurts(at)ulg.ac.be. From Michael_Frank at brown.edu Fri Aug 18 15:47:57 2017 From: Michael_Frank at brown.edu (Michael J Frank) Date: Fri, 18 Aug 2017 15:47:57 -0400 Subject: Connectionists: assistant professorship in psycholinguistics at Brown Message-ID: Please see attached job ad. Candidates with computational expertise are welcome to apply. Michael Michael J Frank, PhD, Professor Laboratory for Neural Computation and Cognition Brown University http://ski.clps.brown.edu (401)-863-6872 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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URL: From srikanth.ramaswamy at epfl.ch Mon Aug 21 01:47:04 2017 From: srikanth.ramaswamy at epfl.ch (Srikanth Ramaswamy) Date: Mon, 21 Aug 2017 05:47:04 +0000 Subject: Connectionists: Neuromodulation of Neural Microcircuits NM2 Conference 2017 Message-ID: <01042A01-10DE-43C7-BBD0-358469F678AF@epfl.ch> We are delighted to announce the upcoming Neuromodulation of Neural Microcircuits (NM2) Conference 2017 (https://nm2.epfl.ch/) The NM2 Conference will be held at the EPFL, Lausanne, Switzerland on the 18th and 19th of Sep. 2017 and at the Campus Biotech in Geneva, Switzerland on the 20th of Sep. 2017. Neuromodulators dynamically reconfigure neural microcircuits and shape brain states by controlling the function of neurons and glia, dendrites, and synapses. NM2 will bring together world-leading experts to: ? Identify the state-of-the-art mechanisms of the neuromodulation of neural microcircuits ? Illuminate various strategies enabling the measurement of neuromodulatory states in brain health and disease ? Integrate knowledge to build a unifying view of the neuromodulation of different brain regions ? Inform and attract new talent to drive forward neuromodulation research ? Inspire future directions that will transform our understanding of the neuromodulation of brain function and dysfunction and therapeutic intervention NM2 has an exciting program with a stimulating lineup of speakers! Please mark your calendars to participate in shaping the future course of neuromodulatory research! Registration includes coffee breaks, lunch, refreshments and poster sessions. PhD. students and postdocs are particularly encouraged to submit poster abstracts. Some abstracts will be selected for flash talks. Early bird registration is open until August 21st, 2017. We look forward to welcoming you at NM2 in beautiful Switzerland! Best regards from the scientific committee of NM2, Srikanth Ramaswamy Henry Markram Mriganka Sur Anita Disney Menahem Segal Michael Hasselmo Seung-Hee Lee Alexander Thiele Amy Arnsten [cid:CCBC7D9D-9041-4146-88BA-CC744BDBB811 at epfl.ch] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 78961 bytes Desc: image001.jpg URL: From azahkm at gmail.com Sun Aug 20 22:11:10 2017 From: azahkm at gmail.com (Azah Kamilah Muda) Date: Mon, 21 Aug 2017 10:11:10 +0800 Subject: Connectionists: MIR Labs CFP : The 9th World Congress on Nature and Biologically Inspired Computing (NaBIC'17) - Springer -INDIA Message-ID: *Apologies for cross-posting. Kindly help to distribute this CFP to your mailing list.* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *-- The 9th World Congress on Nature and Biologically Inspired Computing (NaBIC'17) -- * http://www.mirlabs.org/nabic17 http://www.mirlabs.net/nabic17 *Indexed by*: SCOPUS, Thomson ISI Web of Science, DBLP etc. *History of NaBIC series:* http://www.mirlabs.net/nabic17/previous.php *NaBIC 2017: Scopus & UGC Approved Proceedings* All *accepted and registered *papers will be published in *AISC Series of Springer*, indexed in *ISI Proceedings, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink. *(*Listed in UGC approved list,* please refer List 1- Page 32 - S.No. - 1375) ( http://www.ugc.ac.in/pdfnews/8919877_Journals-1.pdf) * ** Important Dates *** ---------------------------------- Paper submission due: September 30, 2017 Notification of paper acceptance: October 31, 2017 Registration and Final manuscript due: November 15, 2017 Conference: December 14 - 16, 2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *About NaBIC'17:* ----------------------- NaBIC 2017 is organized to provide a forum for researchers, engineers, and students from all over the world, to discuss the state-of-the-art in machine intelligence, and address various issues on building up human friendly machines by learning from nature. The conference theme is Nurturing Intelligent Computing Towards Advancement of Machine Intelligence. All accepted and registered papers will be included in the conference proceedings to expected be published by Springer. *Topics ( not limited to )* --------------------------------- ** Computational methods and Innovative approaches ** Artificial Neural Networks Biodegradability Prediction Cellular Automata Evolutionary Algorithms Swarm Intelligence Emergent Systems Artificial Life Lindenmayer Systems Digital Organisms Artificial Immune Systems Membrane Computing Simulated Annealing Communication Networks and Protocols Computing with Words Common Sense Computing Cognitive Modeling and Architecture Connectionism Metaheuristics Hybrid Approaches Quantum Computing Nano Computing ** Industrial Applications of Nature and Biologically Inspired Computing ** Information Retrieval Robotics Fault Diagnosis Bioinformatics Web Intelligence Speech Processing Business Information Systems Knowledge Management Evolvable Hardware Image and Signal Processing Pattern Recognition Traffic and Transportation System Decision Analysis Data Mining Computer Vision Information and Communication Technology Control Systems ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ *Submission Guidelines:* --------------------------------- Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: http://www.springer.com/series/11156 NaBIC?17 Submission: https://easychair.org/conferences/?conf=nabic2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ** Organizing Committee * *---------------------------------- General Chairs: Ajith Abraham, Machine Intelligence Research Labs, USA Pranab Kr. Muhuri, South Asian University, Delhi Technical Committee (Please refer website): http://www.mirlabs.net/nabic17/committees.php *For technical contact:* ------------------------------ Ajith Abraham Email: ajith.abraham at ieee.org -- Best Regards, Azah Muda -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Verhoef at donders.ru.nl Tue Aug 22 05:20:54 2017 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Tue, 22 Aug 2017 09:20:54 +0000 Subject: Connectionists: Two Postdoc and a Research Assistant positions in the Dutch research consortium "Language in Interaction" Message-ID: <11E9E0B371DBAE4EB859A9CC30606A041AC0DD65@EXPRD98.hosting.ru.nl> Three Positions in the Dutch Research Consortium 'Language in Interaction' (0.8-1.0 FTE) Dutch Research Consortium 'Language in Interaction' Vacancy number: 30.06.17 Application deadline: September 10, 2017, 23.59 CET [Logo][Logo NWO] Responsibilities We are looking for highly motivated candidates to enrich a unique research consortium aiming to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. Currently, our consortium advertises 2 Postdoc positions and 1 RA position. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Each position has its own requirements and profile. Click here for more information on the advertised positions. www.languageininteraction.nl/jobs/BQthird.html Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, sponsored by a large grant from the Netherlands Organisation for Scientific Research (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realises both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organization for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? Successful candidates will be appointed at one of the consortium?s home institutions, depending on the position applied for. All successful candidates will become members of our Big Question teams. The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you Each position has its own requirements and profile. More information on: www.languageininteraction.nl/jobs/BQthird.html General requirements for all positions are: ? a degree in one of the fields indicated for the positions; ? strong motivation; ? excellent proficiency in written and spoken English. What we have to offer ? employment: 0.8-1.0 FTE; ? you will be appointed at one of the consortium's home institutions, depending on the position applied for; ? terms of employment depend on the embedding institution; ? the institutes involved have regulations in place that enable their staff to create a good work-life balance. Other Information All institutes involved are equal opportunity employers, committed to building a culturally diverse intellectual community, and as such encourage applications from women and minorities. Would you like to know more? Further information on: the Language in Interaction Consortium Further information on the different positions, including terms of employment and contacts. Additional information can be obtained from the contacts for the different positions. Are you interested? You should upload your application (attn. of Prof. dr. P. Hagoort) using this link http://www.ru.nl/english/working-at/jobopportunities/details/apply/?tk=uk&recid=598098 Your application should include (and be limited to) the following attachments: ? a cover letter quoting at the top the number of the position you apply for, ? your curriculum vitae, including a list of publications and the names of at least two persons who can provide references. Please apply before September 10, 2017, 23:59 CET. For more information on your application: +31 24 3611173. Big Question 1 Scientific summary The big question this project addresses is how to use computational modelling to link levels of description, from neurons to cognition and behaviour, in understanding the language system. We focus on the mental lexicon and aim to characterise its structure in a way that is precise and meaningful in neurobiological and psycholinguistic terms. Our overarching goal is to devise causal/explanatory models of the mental lexicon that can explain neural and behavioural data. This will significantly deepen our understanding of the mental lexicon, lexical access, and lexical acquisition. Postdoc Position - BQ1-1 Content Description The key question addressed in this project is how to learn word vector representations that encode the combinatorial properties of words required to account for complex linguistic phenomena. Current distributional semantics models typically ignore the hierarchical structure of the sentences in which they occur. They yield word representations that capture semantic similarity among concrete nouns and verbs very well, but have less to say about more abstract semantic and syntactic properties. In contrast, in all major frameworks in theoretical linguistics, the lexicon contains rich information about each word: not only about its (referential) semantics, but also about its morphosyntactic category and other combinatorial properties. In this project we study, in machine-learned vector-space models, the concrete linguistic phenomena that have motivated the properties of existing linguistic formalisms (such as CCG, TAG, HPSG, CxG, Simpler Syntax, GB, and MG). The project will first identify among those linguistic phenomena the ones most useful for evaluating the vector-space models. We will then work on techniques to investigate how these existing neural models deal with the phenomena in question, and, importantly, how to quantify the performance of these models on these phenomena. Requirements You should have a PhD degree (or equivalent) in (computational) linguistics, or another relevant field of study. A strong background in syntax, formal semantics and/or parsing is required: you should be familiar with various formalisms for lexical and compositional semantics and syntax, and with a range of linguistic phenomena that motivate these formalisms. Knowledge of methods in distributional semantics and machine learning for Natural Language Processing is desirable, as is previous experience with vector space models of semantic compositionality. An active interest in the cognitive science and neuroscience of language is essential. Preference will be given to candidates whose profile stands out in comparison with international peers. Embedding and Terms of employment You will be based at the Institute for Logic, Language and Computation, at the Faculty of Science of the University of Amsterdam. * Employment: 1.0 FTE; * in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; * a maximum gross monthly salary of ?4,757 based on a 38-hour working week (salary scale 11); * you will be appointed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 30 months. * the Collective Labour Agreement (CAO) of Dutch Universities is applicable to this position; * you will be classified as a Researcher, Level 3 in the Dutch university job-ranking system (UFO); * the institute involved has regulations in place that enable its staff to create a good work-life balance. Further information about position BQ1-1: Please contact: Dr. Willem Zuidema (zuidema at uva.nl) and Raquel Fern?ndez (raquel.fernandez at uva.nl) Big Question 4 Scientific summary We aim to characterise variation in language processing and learning skills and to determine how these variations relate to those in the underlying biology of individual participants. The project has two strands: Strand A focuses on language processing skills in young adults, and Strand B on language learning skills in children and adults. Strand A will develop a comprehensive battery of language tasks targeting sound, meaning, and grammatical processing of words and longer utterances during speaking and listening. In addition, tasks will be selected or developed assessing general cognitive skills that are likely to affect performance in language tasks. Strand B uses variability in learning ability to investigate why second-language acquisition can become harder in adulthood. It will consist of two sub-projects, one on grammar learning and one on word learning. In each sub-project, a large number of child, adolescent and adult Dutch participants (aged 8-30 years) will be tested using behavioural and neuroimaging techniques. The main research questions are: (a) Why do some individuals find it easier to learn language? and (b) Which aspects of language learning change with age, and why? Two four-year full-time positions are currently open in Strand B. The preferred starting date for both positions is November 1st 2017. Postdoc Position ? BQ4-1 Content Description You will have two primary responsibilities. The first is to coordinate and manage Strand B as a whole (e.g. interfacing between research assistants and senior researchers, planning experiment preparation, data collection and data analysis, and coordinating joint work with Strand A). The second responsibility is to develop, conduct and manage the sub-project within Strand B on grammar learning. The behavioural tasks in this sub-project will include a battery of cognitive tests, the battery of language tasks generated by Strand A, measures of English proficiency, and, critically, a training task on a new aspect of grammar. Neuroimaging will include functional MRI and Diffusion Tensor Imaging (DTI). The goal is to characterise variability in grammar learning abilities by linking performance on the training task to the other behavioural data and to the functional and structural neural measures. This postdoctoral position will enable you to advance your scientific career. Requirements You should ? have a PhD degree (or equivalent) in the cognitive neuroscience of language learning or of human memory, or in a closely-related field of study. ? be familiar, ideally, with running MRI experiments and with analysing MRI data (including DTI data), with carrying out psycholinguistic and/or learning experiments, with research on individual differences, and with testing children. ? have excellent organisational and communication skills and programming abilities. ? have knowledge and hands-on experience in current data analyses techniques. ? have demonstrable interest in language acquisition and the cognitive neuroscience of language. ? be a proficient speaker of Dutch. Applications from excellent candidates with a less than ideal profile will also be considered. Women and members of minority groups are especially encouraged to apply. Embedding and Terms of employment You will be based at the Donders Institute - Centre for Cognition, Faculty of Social Sciences, Radboud University, Nijmegen, Netherlands. ? Employment: 1.0 FTE; ? in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; ? a maximum gross monthly salary of ?4,757 based on a 38-hour working week (salary scale 11); ? you will be appointed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 30 months. ? the Collective Labour Agreement (CAO) of Dutch Universities is applicable to this position; ? you will be classified as a Researcher, Level 3 in the Dutch university job-ranking system (UFO); ? the institute involved has regulations in place that enable its staff to create a good work-life balance. Further information about position BQ4-1 Please contact: Prof. James McQueen (j.mcqueen at donders.ru.nl), Dr. Kristin Lemh?fer (k.lemhofer at donders .ru.nl) or Dr. Gabriele Janzen (gabriele.janzen at donders.ru.nl). Research Assistant Position ? BQ4-2 Content Description You will support the postdoc and other staff with the research of Strand B of Big Question 4. Tasks will include (a) the preparation of materials for experiments, (b) the recruitment of a large sample of child, adolescent and adult participants, (c) the collection of behavioural and MRI data from those participants, (c) the archiving of those data, and, possibly, (d) some aspects of data analysis. You will work in the team of researchers engaged in Strand B and, more broadly, coordinate with those working on Strand A. You will work not only on the grammar-learning sub-project (see advertised postdoc position BQ4-1) but also on the other sub-project of Strand B, which is on word learning. You will take part in a novel and exciting project designed to address why there are individual differences in language learning ability. This position will enable you to advance your career in science (e.g. it will be excellent preparation for a PhD). Requirements You should ? have completed, with good grades, a Bachelor?s or (Research) Master?s degree in psychology, linguistics, cognitive neuroscience, or a closely-related field of study. ? be familiar, ideally, with running experiments with human subjects (MRI experiments and/or behavioural experiments in psycholinguistics and/or human memory and/or individual differences). ? have experience with testing large numbers of participants. Experience with testing children would be especially welcome. ? have excellent organizational and communicative skills and programming abilities. ? have demonstrable interest in language acquisition and the cognitive neuroscience of language. ? be a proficient speaker of Dutch. It would be preferred if you had experience with analysis of large datasets on behavioural and/or neuroimaging measures. Applications from excellent candidates with a less than ideal profile will also be considered. Women and members of minority groups are especially encouraged to apply. Embedding and Terms of employment You will be based at the Donders Institute, RadboudUMC, Nijmegen, Netherlands. ? Employment: 0.8-1.0 FTE; ? in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; ? a maximum gross monthly salary of ?2,980 based on a 36-hour working week (salary scale 7); ? you will be appointed for a period of 24 months with possibilities for extension; ? the Collective Labour Agreement (CAO) of Dutch University Medical Centres is applicable to this position; ? the institute involved has regulations in place that enable its staff to create a good work-life balance. Further information about position BQ4-2 Please contact: Prof. James McQueen (j.mcqueen at donders.ru.nl), Dr. Kristin Lemh?fer (k.lemhofer at donders .ru.nl) or Dr. Gabriele Janzen (gabriele.janzen at donders.ru.nl). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 40202 bytes Desc: image001.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 2461 bytes Desc: image002.jpg URL: From kerstin at nld.ds.mpg.de Tue Aug 22 06:40:56 2017 From: kerstin at nld.ds.mpg.de (Mosch, Kerstin) Date: Tue, 22 Aug 2017 12:40:56 +0200 Subject: Connectionists: Bernstein Conference 2017 - online registration ends August 31 Message-ID: <599C0A38.1070601@nld.ds.mpg.de> *BERNSTEIN CONFERENCE 2017 in G?ttingen* Reminder: *10 days left for online registration!* *Online registration deadline ends August 31, 2017* Please register here: http://www.nncn.de/de/bernstein-conference/2017/registration **************************************************************************** Satellite Workshops http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops Main Conference http://www.nncn.de/de/bernstein-conference/2017 **************************************************************************** The Bernstein Conference has become the largest annual Computational Neuroscience Conference in Europe and now regularly attracts more than 500 international participants. This year, the Conference is organized by the Bernstein Center G?ttingen and will take place in G?ttingen on September 13-15, 2017. In addition, there will be a series of pre-conference satellite workshops on September 12-13, 2017. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology, and sessions for poster presentations are an integral part of the conference. The goal of the satellite workshops is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: www.bernstein-conference.de *CONFERENCE DATE AND VENUE: * Satellite Workshops: September 12-13, 2017 Main Conference: September 13-15, 2017 PHD Symposium: September 12 & 15, 2017 Venue: The Central Lecture Hall (ZHG), Platz der G?ttinger Sieben 5, 37073 G?ttingen, Germany *ACCOMMODATION AND HOTEL RESERVATION:* *We strongly recommend early room booking!* *The number of available accommodation is limited due to several concurrent events. And many Hotels in G?ttingen are already booked out for that week!* We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). Many expiration dates are already mid of June 2017. We strongly encourage participants to share rooms and to book rooms as a group. *We emphasize that it will be very difficult to book accommodation beyond the expiration dates. * Please find a list of the hotels at our Accommodations Website. ORGANIZING COMMITTEE: Matthias Bethge Laura Busse Claudia Clopath Julia Fischer Alexander Gail Richard Hahnloser Claus Hilgetag Peter Jonas Siegrid L?wel Michael Platt Viola Priesemann Nicole Rust Marion Silies Christian Tetzlaff Fred Wolf (Conference Chair) Florentin W?rg?tter (Workshop Chair) Bernstein Coordination Site: Alexandra Stein Kerstin Schwarzw?lder We look forward to seeing you in G?ttingen in September! -- Dr. Kerstin Mosch Bernstein Center for Computational Neuroscience (BCCN) Goettingen Max Planck Institute for Dynamics and Self-Organization Am Fassberg 17 D-37077 Goettingen Germany T: +49-(0)551 3899-453 E: kerstin at nld.ds.mpg.de I: www.bccn-goettingen.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From samarasinghe at ini.rub.de Wed Aug 23 08:30:51 2017 From: samarasinghe at ini.rub.de (samarasinghe at ini.rub.de) Date: Wed, 23 Aug 2017 14:30:51 +0200 Subject: Connectionists: Doctoral student position - Robot-assisted modeling of spatial navigation paradigms in biological organisms Message-ID: *Research **Position **at the Institute for Neural Compu**ta**ti**o**n * A position as *d**octoral student **in integrative **n**euroscience and **c**ognitive **s**cience *is available immediately in the group of Prof. Sen Cheng in the Institute for Neural Computation at the Ruhr University Bochum, Germany. The research will focus on robot-assisted modeling of spatial navigation paradigms in biological organisms. Robotic simulations, as well as, physical robots will be used to develop and evaluate the desired models. The position will be funded at 50% of the standard salary scale TV-L E13. It is initially limited to 1 year with the possibility of extension, depending on the availability of funding. Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (Python, C/C++, or Matlab) are mandatory. Candidates are further required to have a strong background in at least one of the following fields: robotics, computational neuroscience, or cognitive modeling. Experience with interdisciplinary research in integrative neuroscience and cognitive science and with collaborative research would be a further asset. The working language at the institute is English. To apply, please send a statement of your research interests, academic transcripts, and a complete CV in one PDF file to samarasinghe at ini.rub.de by 31.08.2017. Please also request from at least two academic referees that they send letters of reference directly to the same email address. Further information may be available at https://www.ini.rub.de/the_institute/jobs/. The Ruhr University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Universit?tstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe at ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ale at sissa.it Tue Aug 22 13:16:50 2017 From: ale at sissa.it (Alessandro Treves) Date: Tue, 22 Aug 2017 19:16:50 +0200 Subject: Connectionists: Memory GATE opens early for 2 theoretical PhD students at SISSA In-Reply-To: <20170717200525.Horde.JFe7Ax8V4mxZbPxlQvX0RfA@webmail.sissa.it> References: <20170717200525.Horde.JFe7Ax8V4mxZbPxlQvX0RfA@webmail.sissa.it> Message-ID: <20170822191650.Horde.AJRREx8V4mxZnGcCd1RWRQA@webmail.sissa.it> Memory research: Ground-breaking, Applied, and Technological Exchanges is an EU-funded Innovative Training Network coordinated by Francesco Battaglia and including groups at the Radboud (Nijmegen), UCLondon, NTNU-Trondheim, INSERM & AMU (Marseille), Weizmann, Janssen Pharma and SISSA, which will host 15 PhD students on projects taking different approaches to hippocampal memory functions, starting in early 2018. The two theorists to be hosted at SISSA, however, have to be admitted to its Cognitive Neuroscience PhD, by attending the exam in Trieste on Sept 11-12, 2017, see http://www.sissa.it ----------- Deadline August 31st, 2017 --------------- Ideal candidates, who can be of any nationality but must not have spent much time in Italy in the last 3 years, enjoy analytical, mathematical and computational excursions when seeking fundamental network understanding. Those admitted will be awarded a SISSA fellowship for the first few months, and later a much higher, EU-set M-GATE fellowship once the ITN operates. Feel free to inquire about limbo (then please send a CV) to ale at sissa.it -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602 From pascualm at key.uzh.ch Wed Aug 23 22:45:44 2017 From: pascualm at key.uzh.ch (pascualm at key.uzh.ch) Date: Thu, 24 Aug 2017 11:45:44 +0900 Subject: Connectionists: =?utf-8?q?Innovations_orthogonalization=3A_a_solu?= =?utf-8?q?tion_to_the_major_pitfalls_of_EEG/MEG_=E2=80=9Cleakage_c?= =?utf-8?b?b3JyZWN0aW9u4oCd?= Message-ID: Dear Colleagues, The pre-print at: https://doi.org/10.1101/178657 might be of interest to those working in the field of brain connectivity based on signals of electric neuronal activity. It is shown that "leakage correction" in the form of "signal orthogonalization" consistently produces false connectomes. More importantly, a new method is proposed for the resolution ("unmixing") of electrophysiological signals, based on "innovations orthogonalization". -------- Abstract : The problem of interest here is the study of brain functional and effective connectivity based on non-invasive EEG-MEG inverse solution time series. These signals generally have low spatial resolution, such that an estimated signal at any one site is an instantaneous linear mixture of the true, actual, unobserved signals across all cortical sites. False connectivity can result from analysis of these low-resolution signals. Recent efforts toward ?unmixing? have been developed, under the name of ?leakage correction?. One recent noteworthy approach is that by Colclough et al (2015 NeuroImage, 117:439-448), which forces the inverse solution signals to have zero cross-correlation at lag zero. One goal is to show that Colclough?s method produces false human connectomes under very broad conditions. The second major goal is to develop a new solution, that appropriately ?unmixes? the inverse solution signals, based on innovations orthogonalization. The new method first fits a multivariate autoregression to the inverse solution signals, giving the mixed innovations. Second, the mixed innovations are orthogonalized. Third, the mixed and orthogonalized innovations allow the estimation of the ?unmixing? matrix, which is then finally used to ?unmix? the inverse solution signals. It is shown that under very broad conditions, the new method produces proper human connectomes, even when the signals are not generated by an autoregressive model. -------- 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] From annalisa.gentile at ibm.com Wed Aug 23 19:16:41 2017 From: annalisa.gentile at ibm.com (annalisa gentile) Date: Wed, 23 Aug 2017 16:16:41 -0700 Subject: Connectionists: [CfP] ISWC2017 - Register while early bird rate is still available! Message-ID: 16th International Semantic Web Conference (ISWC 2017) Vienna, Austria, October 21-25, 2017 ******************************************* *** Early registration available until September 8, 2017 *** Student travel grant - apply by August 31, 2017 *** Semantic Web Challenge: until September 10, 2017 ******************************************* Website: http://iswc2017.semanticweb.org Facebook: https://www.facebook.com/groups/113652365383847 Twitter: @iswc2017 (https://twitter.com/ISWC2017) Overview calls: http://iswc2017.semanticweb.org/calls/ In this announcement: 1. Semantic Web Challenge 2. Student travel fellowship 3. Job Fair 4. ISWC2017 Metadata - Call for Data Visualization 5. Call for Business Ideas and Startup pitches 6. Mentoring Lunch 7. ISWC Jam Session 8. Registration 9. Important dates 1. Semantic Web Challenge ========================================== This year?s Semantic Web Challenge is centered around two important tasks for building large-scale knowledge graphs: * Knowledge graph population. Given the name and type of a subject entity, (e.g., a company) and a relation, (e.g., CEO) participants are expected to provide the value(s) for the relation. * Knowledge graph validation. Given a statement about an entity, e.g., the CEO of a company, participants are expected to provide an assessment about the correctness of the statement. For both tasks, users may use a portion of the knowledge graph for training. Furthermore, arbitrary sources (e.g., external datasets, Web pages, etc.) may be used as input. A full description of all tasks and all the data are available at the link below. The submission deadline for all the tasks is September 10th, 2017 Finalists will be announced on September 15th, 2017 Detailed info: https://iswc2017.semanticweb.org/calls/iswc-semantic-web-challenge-2017/ Program Chairs * Axel-Cyrille Ngonga Ngomo, University of Paderborn, Germany * Heiko Paulheim, University of Mannheim, Germany * Dan Bennett, Thomson Reuters, USA 2. Student travel grants deadline ========================================== If you are a student interested in attending ISWC 2017, you may be eligible to apply for a grant to support the costs of travel and lodging. This year, travel grants are funded by the Semantic Web Science Association (SWSA) and the US National Science Foundation (NSF). The deadline for applying for an ISWC 2017 travel award is **August 31st, 2017**. Please make sure that you have submitted your application and that your supervisor has sent us a confirmation email by this date. Although students presenting at the conference (paper, workshop, doctoral consortium, poster, demo, etc.) will be given priority for funding, there may be limited funding for students who are not presenting at the conference. Detailed info: https://iswc2017.semanticweb.org/attending/student-travel-grants/ 3. Job Fair ========================================== ISWC 2017 will host the first edition of the Job Fair! We hope that this initiative will help organisations in both industry and academia to find great candidates and to present new career opportunities to conference attendees. When registering to the conference ( https://iswc2017.semanticweb.org/registration-page/) you can tick the option to register your organisation for the job fair. This will provide your organisation with: A table (with a sign showing your organisation name and three seats) close to the permanently open coffee corner (in the seated lunch/coffee area) for a 1.5 hour slot in parallel to one of the conference sessions A special identification sticker on the badge of each member in charge of recruiting for your organisation. That will allow conference attendees to approach you and your colleagues at any time during the days of the conference to learn about the job opportunities offered by your organisation. This option is only additional 50 euros on the registration fee. Organisations that have purchased a regular sponsorship package (which includes other additional benefits!) are **exempt from this extra fee**. If you are a student, post-doc or simply someone looking for a career opportunity you can get a special identification sticker on your badge for free. This will allow recruiters to approach you at any time during the conference days and explain you the opportunities that they offer. Detailed info: https://iswc2017.semanticweb.org/program/job-fair/ 4. ISWC2017 Metadata - Call for Visualisations ========================================== As it has been tradition in the previous years, all metadata of the conference will be made publicly available. This is both an announcement of a *preliminary* release of the ISWC2017 metadata and a call for action to apply your own tools for visualising or exploring the ISWC2017 conference data. A preliminary dump is already available at the link below. In order to put this data to use, we invite submissions of apps/tools which visualise and/or support exploration of the data. The ISWC2017 organisation team intends to link to your applications from the ISWC2017 Website and provide some publicity, so this provides an opportunity to showcase your RDF/Linked Data visualization tool to the ISWC2017 audience. Should you intend to submit or have any questions, please get in touch with the ISWC2017 metadata chairs (contact info below). Note: the current data is a preliminary release only, with the aim to facilitate the test of exploration tools. It will be completed and further polished throughout the next weeks. The finalised metadata will be published closer to the conference and integrated in scholarlydata.org Detailed info and data download: https://iswc2017.semanticweb.org/calls/iswc2017-metadata-call-for-visualisations/ Metadata Chairs * Stefan Dietze, L3S Research Center, Germany (dietze at l3s.de) * Davide Taibi, CNR-ITD, Italy (davide.taibi at itd.cnr.it) 5. Call for Business Ideas and Startup pitches ========================================== If you attend ISWC 2017 and have an innovative ?semantic? business idea, don?t miss out on the unique opportunity to pitch it at the business event ?Semantics in the Field?. This event will showcase innovative applications and solutions and bring together semantic web researchers and the business community - from local entrepreneurs to large multi-national enterprises. You will get insight into the work of successful companies in the field and be able to pitch your ideas to a diverse and highly competent target audience. The event will provide ample opportunity for networking. Make sure to submit your pitch deck until September 30 to linkedstartup at googlegroups.com (see the CfP for details)! Information on the event: https://wirtschaftsagentur.at/veranstaltungen/business-treff-semantics-in-the-field-524/ Call for pitches: https://iswc2017.semanticweb.org/call-for-startup-pitches/ 6. Mentoring Lunch ========================================== The Mentoring Lunch at the International Semantic Web Conference brings together graduate students and early-career researchers with experienced researchers from both, industry and academia for a lively discussion and question-answering session on a variety of topics. If you are a PhD student, a postdoc, or have just started an independent research career and would like to get advice on any of the round-table topics listed below, please join us at the specially designated tables during a lunch break on October 24th, 2017. The last date to register is September 22nd, 2017. Detailed info and registration: https://iswc2017.semanticweb.org/iswc-mentoring-lunch/ 7. ISWC Jam Session ========================================== The ISWC Jam Session officially returns! The Semantic Web community is crowded with music lovers and several of our fine researchers are also excellent music players! After the great success of the Sydney-Jam-Session at ISWC2013 we launch the Vienna-Jam-Session at ISWC2017, sponsored by data.world! (https://data.world). This is a call for musicians in the Semantic Web community that want to share their musical skills and contribute to a very fun night after the ISWC 2017 poster and demo session. We will try and cater for all music tastes: blues, funk, soul jazz, rock, latin? feel free to suggest anything interesting! If you want to get involved (sharing tunes, ideas, music sheets) request access to the shared drive https://drive.google.com/open?id=0B29uZ3ZR9sx4OGtqdlI2NHlJeTQ and join the facebook group https://www.facebook.com/groups/420886798297740 , where we can all contribute with links, videos, suggestions, etc. There will be time to rehearse before the jam. We have a studio reserved at "Studio 5" (http://rehearsal.at) on 21st October between 19:00-22:00, with standard equipment. At the jam venue there will equally be mics, guitar- and bass-amps,, a drum set, and a keyboard. Jam Session Chairs * Aldo Gangemi, Universit? Paris 13, Paris, France and ISTC-CNR, Rome, Italy * Anna Lisa Gentile, IBM Research Almaden, US 8. Registration ========================================== Early registration is available until ** September 8th 2017** Register early to get the cheapest rate! You can find all details and register at: https://iswc2017.semanticweb.org/attending/registration/ 9. Important Dates ========================================== Notifications sent (Industry track) August 9, 3017 Workshop paper notifications sent August 24, 2017 Poster & Demo notifications sent August 24, 2017 Student activity applications due August 31, 2017 Final version industry track papers due August 31, 2017 Camera-ready for Poster & Demo due September 4, 2017 The last day for early registrations September 8, 2017 Semantic Web Challenge September 10, 2017 Startup pitch submissions due September 30 Workshops & Tutorials October 21 & 22, 2017 Conference October 23, 24 & 25, 2017 We thank our platinum sponsor IBM Research and our gold sponsors Big Data Europe, data.world, metaphacts, Ontotext, Oracle, Semantic Web Company, Siemens and Thomson Reuters for their support. To learn more about ISWC 2017 sponsorship opportunities, please visit https://iswc2017.semanticweb.org/sponsorship/ The ISWC Organising Committee ( http://iswc2017.semanticweb.org/organization/) -------------- next part -------------- An HTML attachment was scrubbed... URL: From diego.sona at gmail.com Thu Aug 24 11:22:49 2017 From: diego.sona at gmail.com (Diego Sona) Date: Thu, 24 Aug 2017 17:22:49 +0200 Subject: Connectionists: Fully funded PhD position on machine learning for neuroimaging data analysis Message-ID: <1BD1EA58-9A1D-42EC-88A9-C8A679714B52@gmail.com> We are seeking candidates for a PhD position entitled ?Computational Methods for Brain Connectivity Analysis?. The research will aim at developing novel approaches based on machine learning for the analysis of structural and functional brain connectivity from neuroimaging data (e.g., fMRI, rsMRI, DTI, MEG, EEG, etc.). The aim is to better understand the brain and characterize the neurological and neurodegenerative diseases. The successful candidate will have the opportunity to work in an interdisciplinary environment. The applicant should have a background in machine learning and pattern recognition methodologies with a keen interest in neuroscience. The PhD grant is jointly supported by Fondazione Bruno Kessler (FBK) and Istituto Italiano di Tecnologia (IIT). The research activity will take place at the Neuroinformatics Laboratory (NILab, https://nilab.fbk.eu/ ) and the Pattern Analysis and Computer Vision Laboratory (PAVIS, http://pavis.iit.it/ ). NILab is an interdisciplinary laboratory raised as joint initiative between the Centre for Information Technology of FBK and the Centre for Mind/Brain Sciences of University of Trento (CIMeC, http://www.cimec.unitn.it ). Interested candidates must apply for the PhD grant following the instructions in the call published by Universit? degli studi di Trento (see the application webpage http://ict.unitn.it/application/ict_doctoral_school ) referring to position A5. Deadline for the formal application is August 31, 2017, hrs. 04.00 PM (Italian time, GMT +2) Interested candidates are also invited to contact Paolo Avesani (avesani at fbk.eu ) and Diego Sona (diego.sona at iit.it ) by emailing their CV and a short statement of interest in this position. For further information on the position and the application process refers to the following links http://ict.unitn.it http://ict.unitn.it/application/project_specific_grants Diego Sona --------------------------------------------------------- Pattern Analysis & Computer Vision (PAVIS) Istituto Italiano di Tecnologia (IIT) Via Morego 30, 16163, Genova, Italy Phone: +39 010 71781 819 E-mail: diego.sona at iit.it pavis.iit.it/people/diego-sona --------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From rloosemore at susaro.com Sat Aug 26 23:54:12 2017 From: rloosemore at susaro.com (Richard Loosemore) Date: Sat, 26 Aug 2017 23:54:12 -0400 Subject: Connectionists: Real or virtual? Grandmother cells or "virtual" grandmother patterns? In-Reply-To: References: Message-ID: <7f062bdd-0117-13f0-0ebf-d502be0ab778@susaro.com> Back in 2010 I wrote a paper with T.A. Harley in which we argued that "concepts" (like [grandmother]) are likely to be *virtual* patterns of activity on neural circuits and NOT hard coded into the circuits themselves. So, for example, a virtual pattern of activity might come and go between active and dormant states, or it could move around the brain (perhaps from one column to another). In support of this conclusion, we pointed out that common interpretations of brain imaging data were simply not consistent with the usual assumption, which is that neurons directly represented concepts. We pointed, in particular, to the infamous Jennifer Aniston Cell paper, where the virtual concept hypothesis was the only viable one. And yet, the "virtual" idea is almost completely absent from the literature. Why? If concepts are virtual, this would make a nonsense of many interpretations of neuroscience results, because firing patterns would only have a weak relationship to meaningful entities like concepts. (Think about it: if concepts can wander around the cortex, what is the point in saying that a particular place in cortex corresponds to a semantically tangible thing?). Anyway, I note that a recent paper from Laura N. Driscoll, Noah L. Pettit, Matthias Minderer, Selmaan N. Chettih, and Christopher D. Harvey (Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex): Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex http://www.cell.com/cell/pdf/S0092-8674(17)30828-0.pdf (Overview here: http://news.harvard.edu/gazette/story/2017/08/brain-flexibility-changes-the-way-we-remember-and-learn/) ... brings yet another confirmation of the "virtual" concept hypothesis. The most parsimonious interpretation of their results is that the activity patterns are changing precisely because the "concepts" (when active) are not identifable with fixed hardware, but are actually virtual. It seems to me this is one of the most important issues in all of neuroscience, since it changes the flavour of every result out there. What do you think? --- Richard Loosemore Reference Loosemore, R.P.W. & Harley, T.A. (2010). Brains and Minds: On the Usefulness of Localization Data to Cognitive Psychology. In M. Bunzl & S.J. Hanson (Eds.), Foundational Issues in Human Brain Mapping.Cambridge, MA: MIT Press https://www.academia.edu/563588/Brains_and_Minds_On_the_Usefulness_of_Localization_Data_to_Cognitive_Psychology -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcus.hutter at gmx.net Fri Aug 25 02:56:20 2017 From: marcus.hutter at gmx.net (Marcus Hutter) Date: Fri, 25 Aug 2017 16:56:20 +1000 Subject: Connectionists: PhD Scholarships and Lecturer positions at ANU. Deadline 31Aug17 Message-ID: <599FCA14.1010209@gmx.net> The Research School of Computer Science at the Australian National University in Canberra offers a number of PhD scholarships and fixed-term lecturer positions. Lecturer Positions: ------------------- http://jobs.anu.edu.au/cw/en/job/517185/lecturer PhD Scholarships: ----------------- Scholarships are awarded for 3.5 years and cover both tuition and living costs and are tax free. They are open to citizens of any country. Our research interests can be found here: https://cs.anu.edu.au/research We have particularly strong groups ins Artificial Intelligence and Machine Learning. Around half of our academics and post-graduate students work in AI&ML (broadly understood). Data Mining & Matching: https://cs.anu.edu.au/research/intelligence/data-mining-matching Intelligent Agents: https://cs.anu.edu.au/research/intelligence/intelligent-agents Knowledge Representation & Reasoning https://cs.anu.edu.au/research/intelligence/knowledge-representation-reasoning Machine Learning https://cs.anu.edu.au/research/intelligence/machine-learning Planning and Optimisation https://cs.anu.edu.au/research/intelligence/planning-and-optimisation If you are interested in applying with us then please contact one of our academics whose interest is best aligned with yours. https://cecs.anu.edu.au/research/intelligence Scholarship application deadline: 31 August 2017 Applications via: https://cecs.anu.edu.au/study/more-information/scholarships/college-engineering-and-computer-science-anu-phd-scholarships https://cecs.anu.edu.au/study/more-information/scholarships/data61-phd-scholarships About Canberra: http://www.canberratimes.com.au/act-news/canberra-life/canberra-home-to-the-highest-quality-of-living-worldwide-website-numbeo-reports-20160721-gqb9gn.html About ANU: http://www.anu.edu.au/news/all-news/meet-the-animals-of-the-anu-campus ______________________ Marcus Hutter, Professor RSISE, Room B259, Building 115 Australian National University Corner of North and Daley Road Canberra ACT 2601, Australia Phone: +61(0)2 612 51605 (time zone GMT+10:00) Fax: +61(0)2 612 58651 Email: marcus.hutter at anu.edu.au http://www.hutter1.net/ From alessandra.sciutti at gmail.com Fri Aug 25 09:25:18 2017 From: alessandra.sciutti at gmail.com (Alessandra Sciutti) Date: Fri, 25 Aug 2017 15:25:18 +0200 Subject: Connectionists: [meetings] CfP for the Workshop "The body of embodiment" at HAI 2017 Message-ID: <017401d31da5$9899c520$c9cd4f60$@gmail.com> Call for Papers (apologies for multiple postings) =================================================== Workshop "The body of embodiment" Understanding Embodiment in human-agent interaction ? an interdisciplinary approach =================================================== October 17th, 2017 - CITEC Research Building, Bielefeld, Germany http://www.macs.hw.ac.uk/~kl360/HAI2017W/index.html In conjunction with the Fifth International Conference on Human-Agent Interaction (HAI 2017) http://hai-conference.net/hai2017/ **************************************************************************** *************************** ================== Scope and motivation ================== Robots and virtual agents are progressively becoming more ubiquitous in our society. Although both types of agents may have an embodiment either physical or simulated, a crucial difference exists, in terms of the possibility to share the same space of the users. There is currently an active discussion on the potential impact of physical presence on interaction and agent perception, both for the investigation of social cognition and in applications of agents in the social domain. For instance, is a physical agent better than a virtual agent in the context of teaching children or acting as receptionist? The workshop ?The body of embodiment? will focus on the role of an agent?s embodiment and physical presence and their effects on social human-agent interactions. The following core research questions will be explored with a multidisciplinary audience: (+) Which is the role of *embodiment* as a constituent of social agents? (+) Which is the role of *physical presence* as a constituent of social agents? (+) Which impact embodiment and physical presence have in the *social perception* of robots and virtual agents? These three key questions are at the core of ongoing discussions in the field of HRI, HCI and HAI and this workshop aims to shed light on the development of a common ground and mutual understanding among experts in the field of embodiment research, coming from robotics, neuroscience, psychology, computer science and AI. We believe that this event will strengthen the communication among the different research areas in the field of interaction between humans and novel technologies. Moreover, this workshop seeks to introduce junior researchers who have just entered the field to this highly relevant and complex concept. **************************************************************************** *************************** =============== Keynote speakers =============== * Prof. Stefan Kopp - Bielefeld University * Prof. Massimiliano Cappuccio - United Arab Emirates University * Prof. Tom Ziemke - University of Sk?vde **************************************************************************** *************************** ========== Submission ========== Prospective participants are invited to submit short (2 pages) or full papers (up to 6 pages). Submissions must be in pdf, following the HAI conference style. All contributions will be subject to a peer-review process. Position papers should discuss how embodiment and physical presence might have an impact on human-agent interaction. Accepted publications will be published on our workshop web page. Depending on the overall quality of the contributions, we might consider proposing a Special Issue to journal in the near future. Authors will have the option of opting out from including their papers in the website. Information on the opt-out option will be provided along with the acceptance notice for the papers. All papers for the Workshop must be submitted in PDF format by email to the address: katrin.lohan at gmail.com Submission is not anonymous. More details and templates can be found at: http://www.macs.hw.ac.uk/~kl360/HAI2017W/papers.html Additionally, all participants are requested to address at least one (or more) of the following open research questions: (+) Is physical embodiment useful and supportive for human-robot interaction? (+) Which is the role of embodiment for agency perception? (+) Is there a need for a physical presence to elicit a sense of agency? (+) How do embodiment and physical presence impact on the perception of the capabilities of an agent? (+) Which is the role of physical presence and embodiment in the context of trust and reliability of a system? (+) How does embodiment relate to the concept of embodied cognition for robots in social interactions with humans? If time allows, those questions/answers will be used to "drive" a final discussion. **************************************************************************** *************************** =============== Important dates =============== * 1st September 2017 - Deadline for paper submissions * 25th September 2017 - Notification * 17th October 2017 - Workshop **************************************************************************** *************************** ================= Workshop organisers ================= * Alessandra Sciutti, RBCS - Istituto Italiano di Tecnologia, Genova - alessandra.sciutti at iit.it * Friederike Eyssel, Bielefeld University - feyssel at cit-ec.uni-bielefeld.de * Katrin Solveig Lohan, Heriot-Watt University - k.lohan at hw.ac.uk This workshop is supported by the European CODEFROR project (PIRSES-2013-612555) and by SICSA ( http://www.sicsa.ac.uk/). **************************************************************************** *************************** ---------------------------------------- Alessandra Sciutti (PhD) Researcher, Robotics Brain and Cognitive Sciences Unit Istituto Italiano di Tecnologia Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy tel: +39 010 8172 210 email: alessandra.sciutti at iit.it website: https://www.iit.it/people/alessandra-sciutti -------------- next part -------------- An HTML attachment was scrubbed... URL: From dtborek at gmail.com Sun Aug 27 18:36:23 2017 From: dtborek at gmail.com (Daniel Borek) Date: Mon, 28 Aug 2017 00:36:23 +0200 Subject: Connectionists: Aspects of Neuroscience Conference - Call for Participation and Short Talks/Posters - Warsaw, Poland, 24-26th November Message-ID: ?7th Annual International Conference ?Aspects of Neuroscience? 24-26th November, 2017University of Warsaw, Warsaw, Poland On behalf of the Neurobiology Scientific Student Association at the Faculty of Biology of the University of Warsaw, we would like to invite you to the 7th Annual International Conference ?Aspects of Neuroscience? which will be held in Warsaw, Poland, from On behalf of the Neurobiology Scientific Student Association at the Faculty of Biology of the University of Warsaw, we would like to invite you to the 7th Annual International Conference ?Aspects of Neuroscience? which will be held in Warsaw, Poland, from November 24th to 26th, 2017. The conference is intended for students, PhD students and research workers in neuroscience and related fields. As in previous years, the Conference is divided into 4 sessions presenting different approaches to Neuroscience: Neurobiology, Cognitive Neuroscience, Clinical Neuroscience and Computational Neuroscience. They will be preceded by the opening lecture and ended by the closing lecture. Each thematic session is opened by a lecture delivered by one of the guests who are specialists in a given domain. This year keynotes are: ? Prof. Zolt?n Moln?r (Department of Physiology, Anatomy and Genetics; University of Oxford, Oxford, UK) ? Opening lecture ? Dr. Matthew Apps (Department of Experimental Psychology, University of Oxford, Oxford, UK) ? Cognitive Neuroscience session ? Prof. Bernhard Englitz (Institute for Neurophysiology; Donders Institute for Brain, Cognition and Behaviour; Radboud University Nijmegen; Nijmegen, NL) ? Computational Neuroscience session ? Dr. Guillaume Dumas (Department of Neuroscience; Institut Pasteur, Paris, FR) ? Interdisciplinary lecture ? Prof. Emre Yaksi (Kavli Institute for Systems Neuroscience, NTNU, Trondheim, NO) ? Neurobiology session ? Dr. Athena Demertzi (Belgium Brain and Spine Institute, University of Li?ge / ICM, Paris, FR) ? Clinical Neuroscience session ? Prof. Gy?rgy Buzs?ki (The Neuroscience Institute, New York University, US) ? Closing lecture In the meantime, it is our pleasure to announce that this year there will also be new events: interdisciplinary lecture, a full day of workshops (supported by International Brain Research Organization - IBRO) and a satellite event - AoN Brainhack Warsaw (November, 18th-19th). Participants are encouraged to give an oral presentation in one of the thematic sessions or to present a poster during the poster session (either in the experimental or theoretical section). Abstract submission deadline: 15th October 2017 Passive registration deadline: 10th November 2017 For more information about the Conference, please visit our website: www.neuroaspects.org Please, inform anyone who might be interested in participation. Yours sincerely, Organizing Committee of the International Conference Aspects of Neuroscience Neurobiology Scientific Student Association at the University of Warsaw You can now follow us on social media! Facebook: www.facebook.com/AspectsOfNeuroscience Twitter: www.twitter.com/neuroaspects Instagram: www.instagram.com/aspectsofneuroscience ? -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PosterAoN.png Type: image/png Size: 447389 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Aspects-of-Neuroscience.pdf Type: application/pdf Size: 239715 bytes Desc: not available URL: From luca.oneto at unige.it Sun Aug 27 03:34:03 2017 From: luca.oneto at unige.it (Luca Oneto) Date: Sun, 27 Aug 2017 09:34:03 +0200 Subject: Connectionists: ESANN 2018 SS 1st CPF - Emerging trends in machine learning: beyond conventional methods and data Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Emerging trends in machine learning: beyond conventional methods and data" at ESANN 2018 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018). 25-27 April 2018, Bruges, Belgium - http://www.esann.org DESCRIPTION: Recently, new promising theoretical results, techniques, and methodologies have attracted the attention of many researchers and have allowed to broaden the range of applications in which machine learning can be effectively applied in order to extract useful and actionable information from the huge amount of heterogeneous data produced everyday by an increasingly digital world. Examples of these methods and problems are: - Learning under privacy and anonymity constraints - Learning from structured, semi-structured, multi-modal (heterogeneous) data - Constructive machine learning, e.g. generative models and structured output learning - Reliable machine learning - Learning to learn, e.g. lifelong learning and learning the loss - Mixing deep and structured learning, e.g. mixture of wide and deep models - Semantics-enabled recommender systems - Reproducibility and interpretability in machine learning - Human in the loop - Adversarial learning 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 machine learning and other fields of research in solving real world problems. Both theoretical and practical results are welcome to our special session. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided in https://www.elen.ucl.ac.be/ esann/index.php?pg=submission. Each paper will undergo a peer reviewing process for its acceptance. Authors should send as soon as possible an e-mail with the tentative title of their contribution to the special session organisers. IMPORTANT DATES: Submission of papers: 20 November 2017 Notification of acceptance: 31 January 2018 ESANN conference: 25-27 April 2018 SPECIAL SESSION ORGANISERS Luca Oneto , University of Genoa (Italy) Nicol? Navarin , University of Padua (Italy) Michele Donini , Istituto Italiano di Tecnologia (Italy) Davide Anguita , University of Genoa (Italy) ------------------------------------------------------------ ----------------------- Luca Oneto, PhD University of Genoa web: www.lucaoneto.com DIBRIS Department e-mail: Luca.Oneto at unige.it SmartLab Laboratory e-mail: Luca.Oneto at gmail.com Via Opera Pia 11a Fax: +39-010-3532897 <+39%20010%20353%202897> 16145 Genoa ITALY Phone: +39-010-3532192 <+39%20010%20353%202192> www.smartlab.ws ------------------------------------------------------------ ----------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.aly at em.ci.ritsumei.ac.jp Sun Aug 27 22:00:12 2017 From: amir.aly at em.ci.ritsumei.ac.jp (Amir Aly) Date: Mon, 28 Aug 2017 11:00:12 +0900 Subject: Connectionists: [Extended Deadline-CFP] - HAI 2017 Workshop: Representation Learning for Human and Robot Cognition Message-ID: CALL FOR PAPERS **Apologies for cross posting ** The full day workshop: "*Representation Learning for Human and Robot Cognition*" In conjunction with the *5th International Conference on Human-Agent Interaction* *- Bielefeld - Germany - October * *17th, 2017* *Webpage: **http://cognitive-mirroring.org/en/events/hai2017_workshop/* *I. Aim and Scope *Creating intelligent and interactive robots has been subject to extensive research studies. They are rapidly moving to the center of human environment so that they collaborate with human users in different applications, which requires high-level cognitive functions so as to allow them to understand and learn from human behavior. To this end, an important challenge that attracts much attention in cognitive science and artificial intelligence, is the ?Symbol Emergence? problem, which investigates the bottom-up development of symbols through social interaction. This research line employs representation learning based models for understanding language and action in a developmentally plausible manner so as to make robots able to behave appropriately on their own. This could open the door to robots to understand syntactic formalisms and semantic references of human speech, and to associate language knowledge to perceptual knowledge so as to successfully collaborate with human users in space. Another interesting approach to study representation learning is ?Cognitive Mirroring?, which refers to artificial systems that could make cognitive processes observable, such as the models that could learn concepts of objects, actions, and/or emotions from humans through interaction. A key idea of this approach is that robots learn individual characteristics of human cognition rather than acquiring a general representation of cognition. In this way, the characteristics of human cognition become observable and can be measured as modifications in model parameters, which is difficult to verify through neuroscience studies only. In this workshop, we invite researchers in artificial intelligence, cognitive science, cognitive robotics, and neuroscience to share their knowledge and research findings on representation learning, and to engage in cutting-edge discussions with other experienced researchers so as to help promoting this research line in the Human-Agent Interaction (HAI) community. *II. Keynote Speakers * 1. *Beata Joanna Grzyb *? Radboud University ? The Netherlands 2. *Thomas Hermann*? Bielefeld University ? Germany 3. *Tetsuya Ogata *? Waseda University ? Japan 4. *Erhan Oztop *? Ozyegin Universiy ? Turkey 5. * Stefan Wermter *? University of Hamburg ? Germany *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission *. 2. Use the ACM SIGCHI format: *ACM SIGCHI Templates *. 3. Submitted papers should be limited to 2-4 pages maximum. The primary list of topics covers the following points (but not limited to): - Computational model for high-level cognitive capabilities - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Human-robot communication and collaboration based on machine learning - Learning supported by external trainers by demonstration and imitation - Bayesian modeling - Learning with hierarchical and deep architectures - Interactive reinforcement learning * IV. Important Dates * 1. Paper submission: *15-September-2017* 2. Notification of acceptance: *25-September-2017* 3. Camera-ready version: *5-**October-2017* 4. Workshop: *17-October-2017* *V. Organizers * 1. *Takato Horii *? Osaka University ? Japan 2. *Amir Aly *? Ritsumeikan University ? Japan 3. *Yukie Nagai *? National Institute of Information and Communications Technology ? Japan 4. * Takayuki Nagai *? The University of Electro-Communications ? Japan -- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From azahkm at gmail.com Sun Aug 27 22:04:45 2017 From: azahkm at gmail.com (Azah Kamilah Muda) Date: Mon, 28 Aug 2017 10:04:45 +0800 Subject: Connectionists: =?utf-8?q?CFP_=3A_--_The_13rd_International_Confe?= =?utf-8?q?rence_on_Information_Assurance_and_Security_=28IAS_?= =?utf-8?q?=E2=80=9917=29_-_Springer_=E2=80=93_Marrakech=2C_MOROCCO?= Message-ID: Apologies for cross-posting. Kindly help to distribute this CFP to your mailing list. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ --- The 13rd International Conference on Information Assurance and Security (IAS ?17) --- http://www.mirlabs.net/ias17 http://www.mirlabs.org/ias17 Marrakech, MOROCCO. (December 11-13, 2017) *History of IAS series:* http://www.mirlabs.net/ias17/previous.php ** Important Dates ** ---------------------------------- Paper submission due: September 30, 2017 Notification of paper acceptance: October 31, 2017 Registration and Final manuscript due: November 15, 2017 Conference: December 11 - 13, 2017 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ About IAS'17 : ------------------------- The International Conference on Information Assurance and Security (IAS) is a major international conference aims to bring together researchers, practitioners, developers, and policy makers involved in multiple disciplines of information security and assurance to exchange ideas and to learn the latest development in this important field. Information assurance and security has become an important research issue in the networked and distributed information sharing environments. Finding effective ways to protect information systems, networks and sensitive data within the critical information infrastructure is challenging even with the most advanced technology and trained professionals. All accepted and registered papers will be included in the conference proceedings to expected be published by Springer. Topics ( not limited to ) ----------------------------- Information Assurance, Security Mechanisms, Methodologies and Models Authentication and Identity Management Authorization and Access Control Trust Negotiation, Establishment and Management Anonymity and User Privacy Data Integrity and Privacy Network Security Operating System Security Database Security Intrusion Detection Security Attacks Security Oriented System Design Security and Performance trade-off Security Management and Strategy Security Verification, Evaluations and Measurements Secure Software Technologies New Ideas and Paradigms for Security Cryptography Cryptographic Protocols Key Management and Recovery Secure System Architectures and Security Application Web Services Security Grid Security Ubiquitous Computing Security Mobile Agent Security Internet Security Intellectual Property Protection E-Commerce Security E-Government Security E-Health Security Home System Security Sensor Network Security Ad hoc network security Biometrics Security and Applications Secure Hardware and Smartcards Image Engineering, Multimedia Signal Processing and Communication Security Multimedia Security Multimedia Forensic Digital Watermarking and DRM Communication Security Biometrics Information Fusion Image Registration Image Mosaic Image Indexing and Retrieval Image and Video Coding Multiscale Geometric Analysis Motion Detection and Tracing Feature Extraction 3G Communication Embedded System Design ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Submission Guidelines: ------------------------------------------------------ Submission of paper should be made through the submission page from the conference web page. Please refer to the conference website for guidelines to prepare your manuscript. Paper format templates: http://www.springer.com/series/11156 Proceedings are expected to be published by the Advances in Intelligent and Soft Computing, which is now indexed by ISI Proceedings, DBLP. Ulrich's, EI-Compendex, SCOPUS, Zentralblatt Math, MetaPress, Springerlink Proceedings will be made available during the conference. Expanded versions of selected papers will be published in special issues of internationally referred journals (indexed by SCI) and edited volumes. IAS?17 Submission : https://easychair.org/conferences/?conf=ias2017 . ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ * Organizing Committee * ---------------------------------- General Chairs: Abdelkrim Haqiq, Hassan 1stUniversity, Settat, Morocco Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA Layth Sliman, EFREI, Paris, France Adel M. Alimi, University of Sfax, Tunisia Technical Committee ( Please refer website ) : http://www.mirlabs.net/ias17/committees.php For technical contact: ---------------------------------- Ajith Abraham Email: ajith.abraham at ieee.org -- Best Regards, Azah Muda -------------- next part -------------- An HTML attachment was scrubbed... URL: From asolway at umd.edu Mon Aug 28 16:15:38 2017 From: asolway at umd.edu (Alec Solway) Date: Mon, 28 Aug 2017 16:15:38 -0400 Subject: Connectionists: RA / postdoc / PhD opportunities in computational psychiatry Message-ID: The Computational Cognitive Neuroscience & Psychiatry Lab (Solway Lab) at the University of Maryland-College Park is hiring a full time research assistant and postdoctoral fellow, and is planning to recruit up to two graduate students in the upcoming application round. More information about these positions can be found at http://solwaylab.org. The lab?s research focuses on understanding information processing in human learning, decision making, and episodic memory, and how it is disrupted in psychiatric disorders (anxiety, obsessive compulsive disorder, and depression) ? an area recently dubbed *computational psychiatry*. In carrying out this work, we leverage tools from cognitive neuroscience, experimental and mathematical psychology, computer science, and statistics. We work at the intersection of theory and experiment, building computational models of information processing and testing them using both behavioral data and noninvasive neuroimaging (fMRI and EEG). The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. UMD is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, sex, pregnancy, gender identity or expression, sexual orientation, marital status, age, national origin, political affiliation, physical or mental disability, religion, protected veteran status, genetic information, personal appearance, or any other legally protected status in all aspects of employment. UMD is actively engaged in recruiting, hiring, and promoting underrepresented communities; minorities, women, individuals with disabilities, and veterans are encouraged to apply. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marc777 at bu.edu Mon Aug 28 16:12:33 2017 From: marc777 at bu.edu (Marc Howard) Date: Mon, 28 Aug 2017 16:12:33 -0400 Subject: Connectionists: Multiple post-doctoral positions in Theoretical Cognitive Neuroscience lab at Boston University Message-ID: The Theoretical Cognitive Neuroscience lab at Boston University (Marc Howard, principal investigator) has multiple openings for post-doctoral scholars. The lab develops quantitative models of cognition that are constrained by neurophysiological data. Our work touches on computational neuroscience, mathematical psychology, cognitive modeling, and neural theory, with special attention to neural representations of time and space. Candidates with backgrounds in psychology, neuroscience, physics, engineering, or computer science are encouraged to apply. Please express interest to marc777 at bu.edu by October 1 to ensure full consideration. Apologies for cross-posting. -- Marc Howard Center for Memory & Brain Department of Psychological and Brain Sciences Department of Physics Boston University http://sites.bu.edu/tcn/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at igi.tugraz.at Tue Aug 29 07:06:15 2017 From: david at igi.tugraz.at (David Kappel) Date: Tue, 29 Aug 2017 13:06:15 +0200 Subject: Connectionists: Real or virtual? Grandmother cells or "virtual" grandmother patterns? In-Reply-To: <7f062bdd-0117-13f0-0ebf-d502be0ab778@susaro.com> References: <7f062bdd-0117-13f0-0ebf-d502be0ab778@susaro.com> Message-ID: Theory offers another possible solution to the puzzle that brains can function in a stable manner, although neural codes drift, as demonstrated most recently through experimental data in the Neuron paper by Driscoll et al. from the Harvey Lab. The preprint Reward-based stochastic self-configuration of neural circuits https://arxiv.org/abs/1704.04238 shows that from a theoretical perspective stable reward-based learning does not require stable neural codes or stable synaptic connections. In fact, it is likely to work better without them. -- David Kappel Institute for Theoretical Computer Science Graz University of Technology Inffeldgasse 16b, A-8010 Graz, Austria Tel.: ++43/316/873-5847 http://www.igi.tugraz.at/kappel/ On 2017-08-27 05:54, Richard Loosemore wrote: > > Back in 2010 I wrote a paper with T.A. Harley in which we argued that > "concepts" (like [grandmother]) are likely to be *virtual* patterns of > activity on neural circuits and NOT hard coded into the circuits > themselves. > > So, for example, a virtual pattern of activity might come and go > between active and dormant states, or it could move around the brain > (perhaps from one column to another). > > In support of this conclusion, we pointed out that common > interpretations of brain imaging data were simply not consistent with > the usual assumption, which is that neurons directly represented > concepts. We pointed, in particular, to the infamous Jennifer Aniston > Cell paper, where the virtual concept hypothesis was the only viable one. > > And yet, the "virtual" idea is almost completely absent from the > literature. Why? If concepts are virtual, this would make a nonsense > of many interpretations of neuroscience results, because firing > patterns would only have a weak relationship to meaningful entities > like concepts. (Think about it: if concepts can wander around the > cortex, what is the point in saying that a particular place in cortex > corresponds to a semantically tangible thing?). > > Anyway, I note that a recent paper from Laura N. Driscoll, Noah L. > Pettit, Matthias Minderer, Selmaan N. Chettih, and Christopher D. > Harvey (Dynamic Reorganization of Neuronal Activity Patterns in > Parietal Cortex): Dynamic Reorganization of Neuronal Activity Patterns > in Parietal Cortex > > http://www.cell.com/cell/pdf/S0092-8674(17)30828-0.pdf > > (Overview here: > http://news.harvard.edu/gazette/story/2017/08/brain-flexibility-changes-the-way-we-remember-and-learn/) > > ... brings yet another confirmation of the "virtual" concept > hypothesis. The most parsimonious interpretation of their results is > that the activity patterns are changing precisely because the > "concepts" (when active) are not identifable with fixed hardware, but > are actually virtual. > > It seems to me this is one of the most important issues in all of > neuroscience, since it changes the flavour of every result out there. > > What do you think? > > --- > > Richard Loosemore > > > > Reference > > Loosemore, R.P.W. & Harley, T.A. (2010). Brains and Minds: On the > Usefulness of Localization Data to Cognitive Psychology. In M. Bunzl & > S.J. Hanson (Eds.), Foundational Issues in Human Brain > Mapping.Cambridge, MA: MIT Press > > https://www.academia.edu/563588/Brains_and_Minds_On_the_Usefulness_of_Localization_Data_to_Cognitive_Psychology > -------------- next part -------------- An HTML attachment was scrubbed... URL: From kerstin at nld.ds.mpg.de Tue Aug 29 07:18:49 2017 From: kerstin at nld.ds.mpg.de (Mosch, Kerstin) Date: Tue, 29 Aug 2017 13:18:49 +0200 Subject: Connectionists: Reminder: Bernstein Conference 2017 - online registration ends August 31 Message-ID: *BERNSTEIN CONFERENCE 2017 in G?ttingen* Reminder: *2 days left for online registration!* *Online registration deadline ends August 31, 2017* Please register here: http://www.nncn.de/de/bernstein-conference/2017/registration **************************************************************************** Satellite Workshops http://www.nncn.de/de/bernstein-conference/2017/satellite-workshops Main Conference http://www.nncn.de/de/bernstein-conference/2017 **************************************************************************** The Bernstein Conference has become the largest annual Computational Neuroscience Conference in Europe and now regularly attracts more than 500 international participants. This year, the Conference is organized by the Bernstein Center G?ttingen and will take place in G?ttingen on September 13-15, 2017. In addition, there will be a series of pre-conference satellite workshops on September 12-13, 2017. The Bernstein Conference is a single-track conference, covering all aspects of Computational Neuroscience and Neurotechnology, and sessions for poster presentations are an integral part of the conference. The goal of the satellite workshops is to provide an informal forum for the discussion of timely research questions and challenges. For more information on the conference, please visit: www.bernstein-conference.de *CONFERENCE DATE AND VENUE: * Satellite Workshops: September 12-13, 2017 Main Conference: September 13-15, 2017 PHD Symposium: September 12 & 15, 2017 Venue: The Central Lecture Hall (ZHG), Platz der G?ttinger Sieben 5, 37073 G?ttingen, Germany *ACCOMMODATION AND HOTEL RESERVATION:* *We strongly recommend early room booking!* *The number of available accommodation is limited due to several concurrent events. And many Hotels in G?ttingen are already booked out for that week!* We arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at our Accommodations Website (http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). Many expiration dates are already mid of June 2017. We strongly encourage participants to share rooms and to book rooms as a group. *We emphasize that it will be very difficult to book accommodation beyond the expiration dates. * Please find a list of the hotels at our Accommodations Website. ORGANIZING COMMITTEE: Matthias Bethge Laura Busse Claudia Clopath Julia Fischer Alexander Gail Richard Hahnloser Claus Hilgetag Peter Jonas Siegrid L?wel Michael Platt Viola Priesemann Nicole Rust Marion Silies Christian Tetzlaff Fred Wolf (Conference Chair) Florentin W?rg?tter (Workshop Chair) Bernstein Coordination Site: Alexandra Stein Kerstin Schwarzw?lder We look forward to seeing you in G?ttingen in September! -------------- next part -------------- An HTML attachment was scrubbed... URL: From tim.m.shea at gmail.com Tue Aug 29 01:24:30 2017 From: tim.m.shea at gmail.com (Tim Shea) Date: Mon, 28 Aug 2017 22:24:30 -0700 Subject: Connectionists: Real or virtual? Grandmother cells or "virtual" grandmother patterns? In-Reply-To: <7f062bdd-0117-13f0-0ebf-d502be0ab778@susaro.com> References: <7f062bdd-0117-13f0-0ebf-d502be0ab778@susaro.com> Message-ID: Hi Richard, I'm sorry to say I haven't ready your linked paper, though I will soon. Jeff Rodny, Chris Kello, and I have a paper in a special issue of *Language, Cognition, and Neuroscience* on the topic of evidence for and against grandmother cells. The issue was organized by Jeff Bowers, and he wrote a very helpful summary of the contributions here: http://www.tandfonline.com/doi/full/10.1080/23273798.2016.1267782. In our paper, we discuss evidence and provide a computational model as a proof of concept to argue that single unit responses (whether localist or distributed) may be transient across various timescales without affecting "behavior". I wonder how well this maps onto your concept of a virtual pattern? The basic insight we offer is that, to the extent neurons and neural systems are plastic, relationships between external features and single unit activity may be metastable. Brief snapshots of these relationships can exhibit a high measured stability, particularly for a subset of neurons selected *because *of their stable responses during the recording window. Thus, 30% of neurons may be highly selective for 30 minutes, 10% may be highly selective for 2 hours, etc. That being said, we present this side of the argument as a counterpoint to the ongoing debate over distributed and localist representations, in which both sides explain only the static properties of the representations. Neither my coauthors nor I feel that all representations in the brain are likely to be so transient, and even if this were true it would present a serious challenge to what is even meant by representation (not a challenge that we are eager to tackle). Your thoughts and feedback are welcome on the paper: http://www.tandfonline.com/doi/abs/10.1080/23273798.2016.1242760 PDF link Best, Tim Shea University of California, Merced On Sat, Aug 26, 2017 at 8:54 PM, Richard Loosemore wrote: > > Back in 2010 I wrote a paper with T.A. Harley in which we argued that > "concepts" (like [grandmother]) are likely to be *virtual* patterns of > activity on neural circuits and NOT hard coded into the circuits themselves. > > So, for example, a virtual pattern of activity might come and go between > active and dormant states, or it could move around the brain (perhaps from > one column to another). > > In support of this conclusion, we pointed out that common interpretations > of brain imaging data were simply not consistent with the usual assumption, > which is that neurons directly represented concepts. We pointed, in > particular, to the infamous Jennifer Aniston Cell paper, where the virtual > concept hypothesis was the only viable one. > > And yet, the "virtual" idea is almost completely absent from the > literature. Why? If concepts are virtual, this would make a nonsense of > many interpretations of neuroscience results, because firing patterns would > only have a weak relationship to meaningful entities like concepts. (Think > about it: if concepts can wander around the cortex, what is the point in > saying that a particular place in cortex corresponds to a semantically > tangible thing?). > > Anyway, I note that a recent paper from Laura N. Driscoll, Noah L. Pettit, > Matthias Minderer, Selmaan N. Chettih, and Christopher D. Harvey (Dynamic > Reorganization of Neuronal Activity Patterns in Parietal Cortex): > > http://www.cell.com/cell/pdf/S0092-8674(17)30828-0.pdf > > (Overview here: http://news.harvard.edu/gazette/story/2017/08/brain- > flexibility-changes-the-way-we-remember-and-learn/) > > ... brings yet another confirmation of the "virtual" concept hypothesis. > The most parsimonious interpretation of their results is that the activity > patterns are changing precisely because the "concepts" (when active) are > not identifable with fixed hardware, but are actually virtual. > > It seems to me this is one of the most important issues in all of > neuroscience, since it changes the flavour of every result out there. > > What do you think? > > --- > > Richard Loosemore > > > > Reference > > Loosemore, R.P.W. & Harley, T.A. (2010). Brains and Minds: On the > Usefulness of Localization Data to Cognitive Psychology. In M. Bunzl & S.J. > Hanson (Eds.), Foundational Issues in Human Brain Mapping.Cambridge, MA: > MIT Press > > https://www.academia.edu/563588/Brains_and_Minds_On_the_Usefulness_of_ > Localization_Data_to_Cognitive_Psychology > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From dorien.herremans at gmail.com Tue Aug 29 04:53:04 2017 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Tue, 29 Aug 2017 16:53:04 +0800 Subject: Connectionists: PhD position available in music and machine learning, SUTD Singapore (closes Sept. 15) Message-ID: Dear MIR community, We are looking for a strong PhD candidate in *music and machine learning* at Singapore University of Technology and Design (SUTD) . SUTD is a relatively new university, founded in collaboration with MIT, that has a strong interdisciplinary focus on design. The available PhD position is at the department of Information Systems Technology and Design (ISTD). The ideal candidate will have a strong academic record and a strong interest in machine learning and music/audio. They will be expected to complete a PhD within 4 years and have knowledge of at least one of the following areas: - modelling music for applications such as automatic music generation - machine learning (incl. deep learning) - optimization algorithms - music/audio classification Candidates with a hands on, proactive approach and problem-solving skills are strongly encouraged to apply. Given the design centered approach in SUTD, the focus during the PhD will not only be on high-quality publications, but also on designing practical applications. The application window will close *15-Sep-2017* and the position will start in January '18*. *If you are interested,* please send me (dorien_herremans at sutd.edu.sg ) an email with your cv and more information about your research interests and experience. * Details about SUTD's PhD programme can be found here . If your application is successful, you will be awarded a 4 year MOE (Ministry of Education) scholarship (SUTD does not accept self-funding applicants). The official language at SUTD (and Singapore) is English. When moving to Singapore, you can expect a very high quality of life, futuristic buildings, tropical climate, excellent food and a perfect base for exploring South East Asia. --- The Singapore University of Technology and Design is established to advance knowledge and nurture technically-grounded leaders and innovators to serve societal needs, with a focus on Design, through an integrated multi-disciplinary curriculum and multi-disciplinary research. -- Dorien Herremans, PhD Assistant Professor http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 1.202-17 Special Issue on Deep Learning for Music and Audio in Springer's Neural Computing and Applications -------------- next part -------------- An HTML attachment was scrubbed... URL: From poma at mmmi.sdu.dk Tue Aug 29 05:42:18 2017 From: poma at mmmi.sdu.dk (Poramate Manoonpong) Date: Tue, 29 Aug 2017 09:42:18 +0000 Subject: Connectionists: [meetings] CFP: SAB2018 - International Conference on the Simulation of Adaptive Behavior Message-ID: FROM ANIMALS TO ANIMATS 15 The 15th International Conference on the Simulation of Adaptive Behavior (SAB2018) 14-17 August 2018, Frankfurt, Germany * Keynote speakers * Auke Jan Ijspeert, Swiss Federal Institute of Technology (EPFL), Switzerland Jan Peters, Darmstadt University of Technology, Germany Koh Hosoda, Osaka University, Japan Tom Froese, National Autonomous University of Mexico, Mexico *Organising Committee* Conference Chairs: Jochen Triesch, John Hallam Program Chair: Poramate Manoonpong Tutorial Chair: J?rgen Christian Larsen *Important Dates* Paper Submission Deadline: 11st March, 2018 Notification of Acceptance: 15th May, 2018 Camera Ready Submission: 1st June, 2018 Tutorial Proposal Deadline: 21st May, 2018 Tutorial Notification of Acceptance: 31st May, 2018 Tutorials: 14th August, 2018 Conference: 15-17th August, 2018 *Scope of the Conference* The objective of this interdisciplinary conference is to bring together researchers in computer science, artificial intelligence, artificial life, control, robotics, neurosciences, ethology, evolutionary biology and related fields in order to further our understanding of the behaviours and underlying mechanisms that allow natural and artificial animals to adapt and survive in uncertain environments. The conference will focus on experiments with well-defined models including robot models, computer simulation models and mathematical models designed to help characterise and compare various organisational principles or architectures underlying adaptive behaviour in real animals and in synthetic agents, the animats. *Relevant Research Areas* SAB2018 solicits contributions dealing with any aspect of adaptive behaviour in natural and artificial systems. Typical, but not exclusive, topics of interest are: Bio-inspired and hybrid robotics Autonomous robotics Humanoid robotics Soft robotics Cognitive and developmental robotics The animat approach Motor control Body and brain co-evolution Self-assembling and self-replication Sensory-motor coordination Action selection and behavioural sequencing Navigation and mapping Internal models and representation Evolution, development and learning Collective and social behaviour Applied adaptive behaviour Motivation and emotion Communication and language Emergent structures and behaviours Neural correlates of behaviour Evolutionary and co-evolutionary approaches Software agents and virtual creatures Philosophical and psychological issues Animats in education *Conference Format* Following the tradition of SAB conferences, the conference will be single track with additional poster sessions. There will also be a day of tutorials (14th of August). *Paper Submission Instruction and Publication Details* Submitted papers must not exceed 12 pages. Detailed submission instructions will be made available on the conference website. All accepted papers with oral or poster presentation will be published in Springer Lecture Notes in Artificial Intelligence series conference proceedings. Selected authors may additionally be invited to submit extended versions for a conference Special Issue of the Journal of Adaptive Behavior. *Tutorials* The SAB2018 organising committee invites proposals for tutorials, which will be held on the 14th of August, 2018. *Exhibition Section* During SAB2018 there will be an exhibition section, where latest developments in hardware and software technologies will be displayed to the conference attendees and the Press. *Further Information* More information will be published on the conference website in October 2017. ------- Poramate Manoonpong Associate Professor SDU Embodied Systems for Robotics and Learning, The Maersk Mc-Kinney Moller Institute T +45 65 50 86 98 poma at mmmi.sdu.dk University of Southern Denmark Campusvej 55 DK-5230 Odense M www.sdu.dk -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Tue Aug 29 15:35:25 2017 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Tue, 29 Aug 2017 19:35:25 +0000 Subject: Connectionists: ESANN 2018 call for papers Message-ID: ESANN 2018 - 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium, 25-26-27 April 2018 http://www.esann.org/ Call for papers The call for papers is available at http://www.esann.org/. Deadline for submissions: November 20, 2017. The ESANN conferences cover machine learning, artificial neural networks, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. In addition to regular sessions, 7 special sessions will be organized on the following topics: - Deep Learning in Bioinformatics and Medicine - Machine Learning and Data Analysis in Astroinformatics - Interaction and User Integration in Machine Learning for Information Visualisation - Emerging trends in machine learning: beyond conventional methods and data - Shallow and Deep models for transfer learning and domain adaptation - Randomized Neural Networks - Impact of Biases in Big Data ESANN 2018 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years. The conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. We hope to receive your submission to ESANN 2018 and to see you in Bruges next year! ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen Univ. Cath. de Louvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Wed Aug 30 06:09:50 2017 From: Pavis at iit.it (Pavis) Date: Wed, 30 Aug 2017 10:09:50 +0000 Subject: Connectionists: Postdoc position on 3D reconstruction and scene understanding with dense SLAM - [ Postdoc ] In-Reply-To: <0E09F354EB71FC40A4D51EE54D8A9C88BDF212BD@IITMXWGE015.iit.local> References: <0E09F354EB71FC40A4D51EE54D8A9C88BDF2119D@IITMXWGE015.iit.local>, <0E09F354EB71FC40A4D51EE54D8A9C88BDF212BD@IITMXWGE015.iit.local> Message-ID: <0E09F354EB71FC40A4D51EE54D8A9C88BDF21311@IITMXWGE015.iit.local> Postdoc position on 3D reconstruction and scene understanding with dense SLAM - [ Postdoc ] Workplace: Genova, IIT, Italy The Visual Geometry and Modelling (VGM) Research Line at IIT invites qualified applicants to submit their CV?s for a Postdoc position in Genoa under the supervision of Dr. Alessio Del Bue. The VGM mission is to provide computational tools for the large-scale understanding of data, this being sensed at the nano and up to the macro scale level. With a privileged focus on image and video data, the main lab goal is to research and apply methods to boost the advancements of life scientists and engineers in untangling and modelling the (big) data as provided by modern sensors (e.g. high-resolution cameras, time-lapse microscopy, 3D scanners). The scientific core of the lab refers to the research fields of Computer Vision, Signal Processing and Numerical Optimization with the primary goal to provide algorithms for: Reality Capture: 3D reconstruction from images, sound and range data; Dynamic 3D scene understanding from video and RGBD data; Large scale data clustering and modelling for Life Science and Engineering. Expertise in these research fields is applied to several practical and challenging problems in the industry with ongoing collaboration with world-leading companies in machine vision, automation, energy, avionics, photonics and fashion industries. VGM is opening a postdoc position to work on 3D mapping and structure from motion with RGBD sensors. The aim is to create an autonomous 3D reconstruction and scene understanding system for indoor environments by using an active camera attached to a robotic arm. The system will be working in challenging scenarios dealing with severe occlusions and sensor noise in a fully autonomous way. Candidates should have good programming skills in C/C++ and a general knowledge of ROS and SLAM software libraries. Proven scientific track record on major computer vision and robotics conferences/journals (CVPR, ICCV, ECCV, IROS, ICRA, etc.) is also a relevant criteria for the selection. This project will be carried on in collaboration with an international industrial partner delivering state-of-the-art machine vision applications in the global market. The candidate will be also involved in project meeting and submission of papers at top-tier computer vision and robotics conferences. At the time of the application eligible candidates should have a Ph.D. in Computer Vision, Engineering, Robotics or related fields. The successful candidate will be offered a competitive salary commensurate to qualifications and experience. Please send the application, including a CV with publication list, brief description of research interests and main accomplishments and names of 2 referees to pavis at iit.it quoting ?Postdoc VGM position BC 74272? in the email subject. The call will remain open until the position is filled but a first deadline for evaluation of candidates will be September 30th, 2017. Istituto Italiano di Tecnologia (IIT) was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide, recruited an international staff of about 1100 people from more than 50 countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies. In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the Data Holder, using 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 benoit.frenay at unamur.be Wed Aug 30 03:40:51 2017 From: benoit.frenay at unamur.be (Benoit Frenay) Date: Wed, 30 Aug 2017 09:40:51 +0200 Subject: Connectionists: Interaction and User Integration in ML for Infovis at ESANN'18 Message-ID: <5e614147-bd76-e617-174d-68a7b5800cf2@unamur.be> [Apologies if you receive multiple copies of this CFP] Call for papers: special session on "Interaction and User Integration in Machine Learning for Information Visualisation" at ESANN 2018 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2018). 25-27 April 2018, Bruges, Belgium -http://www.esann.org DESCRIPTION: Many methods have been developed in machine learning (ML) for information visualisation (infovis). For example, PCA, MDS, t-SNE and improvements are standard tools to reduce the dimensionality of high dimensional datasets for visualisation purposes. However, multiple other means are regularly used in the field of infovis when tackling datasets with high dimensionality. Letting the user manipulate the visualisation is one of these means, either through selection, navigation or filtering. Introducing manipulation of the visualisation also integrates the user as a core aspect of a given system. In the context of machine learning, beyond the informational and exploratory use of infovis, users' feedback can for example be highly informational to drive the dimensionality reduction process. This special session of the ESANN conference is a followup of the special session on "Information Visualisation and Machine Learning: Techniques, Validation and Integration" at ESANN 2016. It aims to gather researchers that integrate users in the core of ML methods for infovis. New algorithms and frameworks are welcome, as well as experimental use cases that bring new insight in the integration of interaction and user integration in ML for infovis. This special session aims to provide practitioners from both communities a common forum of discussion where issues at the crossroads of machine learning and information visualisation could be discussed. Topics of interest include, but are not limited to: * supervised and semi-supervised machine learning and infovis * unsupervised ML (clustering, dimension reduction) * user feedback on metaparameters * new visual paradigms for machine learning * interaction techniques for infovis with/of machine learning * user and device adaptivity for visual analytics * warm restart and dedicated optimization techniques * scalability * applications in industry, agriculture, medicine, biology, etc. SUBMISSION: Prospective authors must submit their paper through the ESANN portal following the instructions provided inhttp://www.elen.ucl.ac.be/esann/index.php?pg=submission. Each paper will undergo a peer reviewing process for its acceptance. Authors should send as soon as possible an e-mail with the tentative title of their contribution to the special session organisers. IMPORTANT DATES: Paper submission deadline : 20 November 2017 Notification of acceptance : 31 January 2018 The ESANN 2014 conference : 25-27 April 2018 SPECIAL SESSION ORGANISERS: Prof. Bruno Dumas Universit? de Namur, Belgium E-mail: bruno.dumas at unamur.be Website: http://directory.unamur.be/staff/bdumas Phone: +32 81 72 49 75 Prof. Beno?t Fr?nay Universit? de Namur, Belgium E-mail: benoit.frenay at unamur.be Website:http://bfrenay.wordpress.com Phone: +32 81 72 49 76 Prof. John Lee Universit? catholique de Louvain, Belgium E-mail: john.lee at uclouvain.be Website:https://mlg.info.ucl.ac.be/Members/JohnLee Phone: +32 2 764 95 28 -- 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: From education at humanbrainproject.eu Wed Aug 30 04:41:30 2017 From: education at humanbrainproject.eu (HBP Education) Date: Wed, 30 Aug 2017 10:41:30 +0200 Subject: Connectionists: Call for applications: 5th HBP School - Future Medicine, 27 Nov. - 3 Dec. 2017, Obergurgl, Austria Message-ID: Dear all, From 27 Nov. - 3 Dec. 2017, the 5th HBP School - Future Medicine will take place in Obergurgl, Austria, on the topic of Brain Disease Neuroscience: Influencing clinical diagnoses and treatments by data mining analysis- and modelling-driven neuroscience . Please find some general information about the event below and on our website: https://education.humanbrainproject.eu/web/5th-school/home We are looking forward to receiving your applications! Best regards, The Education Programme Office Medical University Innsbruck (MUI) Center of Psychiatry and Psychotherapy Experimental Psychiatry Unit M?llerstra?e 59, 6020 Innsbruck, Austria Phone Office: +43 512 9003 71245 Email: education at humanbrainproject.eu <>5th?HBP School ? Future Medicine <> Brain Disease Neuroscience: Influencing clinical diagnoses and treatments by data mining analysis- and modelling-driven neuroscience Obergurgl, Austria, 27 Nov. ? 3 Dec. 2017 https://education.humanbrainproject.eu/web/5th-school/home Description The availability of clinical, genomic, proteomic and neuroimaging data sets combined with recent advances in ICT, data mining and computational modelling makes it possible to uncover unique biological signatures of disease from multi-level descriptions of the brain. Medicine of the future will capitalise on these biological signatures of diseases for faster diagnosis, more accurate prognosis and leverage the discovery of mechanistic pathways for new types of drugs, novel treatments and ultimately personalised medicine. The programme of the 5th HBP School combines lectures and practical sessions. In small groups, students will be working on a week-long project. Throughout the school, participants are encouraged to introduce new ideas and suggest original experimental techniques. Speakers will be available throughout the week to go into details of concepts, provide deeper insights, answer questions or help with specific group requests. Programme structure Lectures Discussion sessions Hands-on tutorials and project sessions Student lightning talks Poster presentations Social events Application for this school is open to the whole student community and early post-docs. Up to 40 applicants will be selected based on an academic decision by the Scientific Committee. Participants are required to submit an abstract on their current research with their application. Applications from young female investigators are highly encouraged. Scientific Committee Ferath Kherif | CHUV Egidio D'Angelo | UNIPV Alain Destexhe | CNRS Bogdan Draganski | CHUV Viktor Jirsa | AMU Mira Marcus-Kalish | TAU Marcello Massimini | UMIL Francesco Pavone | LENS Organised by HBP Education Programme Office Upcoming deadlines Application deadline: 4 September 2017 There is no registration fee. Accommodation will be provided. Seven travel grants will be available upon request (European students only). Travel grant requests have to be sent to education at humanbrainproject.eu prior to the application deadline. Contact HBP Education Programme Office Medical University Innsbruck M?llerstra?e 59, 6020 Innsbruck, Austria Phone: +43 512 9003 71240 E-mail: education at humanbrainproject.eu Website: https://education.humanbrainproject.eu/web/5th-school/home Speakers and topics confirmed: Anna Letizia Allegra Mascaro: Rehabilitation-induced cortical plasticity after stroke LENS, Italy Alain Destexhe: Epilepsy modelling ? Cell level CNRS, France Giovanni Frisoni: Alzheimer's Disease Biomarkers University of Geneva, Switzerland Marc Goodfellow: Epilepsy modelling ? System scale level University of Exeter, UK John Huguenard: Mouse models of epilepsy Stanford University, USA Spase Petkoski: Therapeutic approaches for stroke using large-scale brain network models Aix-Marseille University, France Mario Rosanova: Pathological sleep-like activity in cortical perilesional areas University of Milan, Italy Andreas Spiegler: Stimulation in large-scale connectome-based network models Aix-Marseille University, France Peter Taylor: Structural and functional connectivity-based macroscopic modelling in epilepsy Newcastle University, UK The venue The 5th HBP School will take place at the Obergurgl University Center, which is located right next to the ski slopes and hiking trails and only five minutes? walk from the village centre. It was founded in 1951 by the Obergurgl federal Sports Centre in cooperation with the Alpine Research Centre of the University of Innsbruck. Over the past decades, numerous renowned mountain guides, ski instructors, researchers and scientists gathered here to collaborate on major contributions to sports and science in the Alps. Obergurgl is located in the ?tztal Alps in Tyrol, Austria, and part of the municipality of S?lden. The village is located 1,907 m (6,257 ft.) above sea level and is primarily a tourist resort with only about 400 permanent residents. Due to its remote location, it is very popular not only for tourists but also among scientists and researchers. Keywords Future Medicine, Brain Disease Neuroscience, Disease Modelling, Biomarkers, Data Mining, Stroke, Alzheimer?s Disease, Epilepsy, Modelling, Networks, Connectivity, Brain, Cells, Disease, Scales, Activity, Medical Informatics -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhammer at techfak.uni-bielefeld.de Wed Aug 30 16:34:43 2017 From: bhammer at techfak.uni-bielefeld.de (Barbara Hammer) Date: Wed, 30 Aug 2017 22:34:43 +0200 Subject: Connectionists: workshop NC2 and tutorials at GCPR Message-ID: <5a7b0298-8ff4-3bc8-c973-7d71d538438f@techfak.uni-bielefeld.de> Dear colleagues, the program of this year's workshop New Challenges in Neural Computation and Machine Learning (NC2) at the German Conference on Pattern Recognition (including two prestigious invited speakers) just became online: https://www.techfak.uni-bielefeld.de/%7Ebhammer/GINN/NC2/ On the same day, two tutorials on Interpretable Machine Learning, and Medical Image Analysis will be offered: https://gcpr2017.dmi.unibas.ch/en/program/tutorials/ Best wishes Barbara Hammer -- Prof. Dr. Barbara Hammer CITEC centre of excellence Bielefeld University D-33594 Bielefeld Phone: +49 521 / 106 12115 Fax: +49 521 / 106 12181 From eugenebart at gmail.com Wed Aug 30 21:52:20 2017 From: eugenebart at gmail.com (Evgeniy Bart) Date: Wed, 30 Aug 2017 18:52:20 -0700 Subject: Connectionists: Frontiers Research Topic Issue on Deep Learning: Call for papers Message-ID: (Apologies for cross-posting.) Submissions are invited toward a special Research Topic issue on "Deep Learning in Biological, Computer, and Neuromorphic Systems" in Frontiers in Computational Neuroscience, cross-listed in multiple other Frontiers journals. This issue will focus on principles and mechanisms of deep learning, broadly defined. For additional details, please see http://journal.frontiersin.org/researchtopic/6608. Contributors are strongly encouraged (although not required) to submit an abstract describing their contemplated contribution, so that the suitability of the contribution for the Research Topic issue can be ascertained. The deadline for abstract submission is October 6, 2017. The deadline for full manuscript submission is February 1, 2018. Evgeniy Bart, PhD, Palo Alto Research Center (PARC), Palo Alto, CA, USA (bart at parc.com) Jay Hegd?, PhD, Augusta University, Augusta, GA, USA (jhegde at augusta.edu) Guest Editors -------------- next part -------------- An HTML attachment was scrubbed... URL: From joseph.austerweil at gmail.com Wed Aug 30 18:26:14 2017 From: joseph.austerweil at gmail.com (Joseph Austerweil) Date: Wed, 30 Aug 2017 17:26:14 -0500 Subject: Connectionists: Fwd: Editor Search, Computational Brain & Behavior In-Reply-To: References: Message-ID: *Editor Search, Computational Brain & Behavior* The Society for Mathematical Psychology seeks a dynamic, well-organized scientist with high editorial standards and strong leadership skills to serve as the first editor of the new journal Computational Brain & Behavior. SMP aims for CB&B to have a broad scope, accepting work from psychology, neuroscience, economics, and statistics, linked by a common theme of quantitative modeling and methods. CB&B is owned by SMP and will be published by Springer with 4 issues a year. Applicants should be respected leaders in the community, independent-minded, and even-handed. As Editor you should be (1) committed to establishing CB&B as a leading journal in the area of quantitative psychology and neuroscience, (2) proactive in attracting innovative contributions in both traditional disciplines and emerging fields, and (3) able to implement a rigorous and prompt review process. As Editor you will ? Set the aims and scope for CB&B in consultation with the SMP executive board ? Select an editorial team ? Have full authority to accept or reject submissions ? Handle the review process ? Seek out stimulating papers and special issue topics for inclusion in the journal The new Editor will be appointed for a 5-year term, beginning November 1, 2017. Applications should include a curriculum vita, a vision statement for CB&B, and a cover letter. Applications should be submitted to SMP Secretary/Treasurer Leslie Blaha via EMAIL to the email address: societyformathpsych at gmail.com with subject header: CB&B Editor Application: . A search committee along with the executive board of SMP will evaluate candidates. The executive board will make the final selection and appointment. *The deadline for applications is September 30, 2017* For more information about CB&B and the application process, please see http://bit.ly/2vsIxcb, or contact SMP President Jennifer Trueblood ( jennifer.s.trueblood at vanderbilt.edu) or anyone on the SMP Executive Board (Scott Brown, Clintin Davis-Stober, Chris Donkin, Pernille Hemmer). -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefanm at alleninstitute.org Wed Aug 30 13:34:43 2017 From: stefanm at alleninstitute.org (Stefan Mihalas) Date: Wed, 30 Aug 2017 17:34:43 +0000 Subject: Connectionists: Scientist I/II - Computational Neuroscience at Allen Institute for Brain Science Message-ID: POSITION SUMMARY We are seeking to fill a position at the level of Scientist to work on coarse-grained models of cortical networks aiming to understand how the observed structure and activity gives relate to cortical computations necessary for visual processing (e.g. figure ground segregation, integration of context). We use mouse vision as a model system and this position will focus on using population statistics (http://alleninstitute.github.io/dipde/) and filter neuron model simulation tools. More specifically, the scientist will work on (i) fitting network models with simple neurons which network structures are consistent with the observed mesoscopic connectivity and in vivo cellular activity, (ii) simulate the activity of such networks at neuronal an population levels and (iii) analyzing the relation between observed network structure and that predicted from different models of cortical computations. ESSENTIAL DUTIES AND RESPONSIBILITIES * Participate in team efforts to find network parameters which are consistent with activity (http://observatory.brain-map.org/visualcoding/) and connectivity (http://connectivity.brain-map.org/) data. * Simulate cortical networks parameterized from experimental data using population and simplified neuron model simulation tools. * Analyze how computations in vision (e.g. figure/ground segregation, integration of context) result from networks similar to those simulated. * Interact with groups performing simulations at other levels of resolution and with experimental groups. * Maintain clear and accurate communication with supervisor and team members. * Publish/present findings in peer-reviewed journals/scientific conferences. BASIC QUALIFICATIONS SCIENTIST I * PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field. * Strong background in scientific computing is required. * Experience in computational neuroscience is preferred. SCIENTIST II * PhD degree in computational neuroscience, physics, mathematics, applied mathematics or related field. * 4+ years of postdoctoral experience in computational science * Preferred Computational neuroscience * Strong background in scientific computing is required. * Strong publication record. Preferred Qualifications: * Ability to meet aggressive timelines and deliverables in a collaborative environment. * Proven independent thinking and flexibility. * Strong written and verbal communication skills * Experience in pursuing research projects in collaborative fashion. Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. By implementing a team science approach on a large scale, we strive to generate useful public resources, drive technological innovations and discover fundamental brain properties through integration of experiments, modeling and theory. To apply please visit https://www.alleninstitute.org/what-we-do/brain-science/careers/job-search/. Applications will be considered on an ongoing basis. Apologies for coss-posting, Stefan Mihalas Assistant Investigator Allen Institute for Brain Science www.alleninstitute.org Affiliate Assistant Professor Department of Applied Mathematics University of Washington -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Wed Aug 30 11:07:54 2017 From: dwang at cse.ohio-state.edu (WANG, DELIANG) Date: Wed, 30 Aug 2017 11:07:54 -0400 Subject: Connectionists: NEURAL NETWORKS: Best Paper Award and Sept. 2017 Content Message-ID: <816850d9-9ef0-b257-65d7-ceb13908f621@cse.ohio-state.edu> We are pleased to announce the recipient of the inaugural Best Paper Award: Juergen Schmidhuber: "Deep Learning in Neural Networks: An Overview," published in Neural Networks, volume 61, pp. 85-117, January 2015. This paper has open access: https://www.journals.elsevier.com/neural-networks/news/announcement-of-the-neural-networks-best-paper-award Kenji Doya and DeLiang Wang Co-Editors-in-Chief --------------------------------------------------------------------------- Neural Networks - Volume 93, September 2017 http://www.journals.elsevier.com/neural-networks Bayesian geodesic path for human motor control Ken Takiyama Pinning synchronization of memristor-based neural networks with time-varying delays Zhanyu Yang, Biao Luo, Derong Liu, Yueheng Li Multi-scale modeling of altered synaptic plasticity related to Amyloid image effects Takumi Matsuzawa, Laszlo Zalanyi, Tamas Kiss, Peter Erdi An online supervised learning method based on gradient descent for spiking neurons Yan Xu, Jing Yang, Shuiming Zhong Sparse subspace clustering for data with missing entries and high-rank matrix completion Jicong Fan, Tommy W.S. Chow Ordinal regression based on learning vector quantization Fengzhen Tang, Peter Tino Nonredundant sparse feature extraction using autoencoders with receptive fields clustering Babajide O. Ayinde, Jacek M. Zurada Deep neural mapping support vector machines Yujian Li, Ting Zhang Robust recursive absolute value inequalities discriminant analysis with sparseness Chun-Na Li, Zeng-Rong Zheng, Ming-Zeng Liu, Yuan-Hai Shao, Wei-Jie Chen Novel density-based and hierarchical density-based clustering algorithms for uncertain data Xianchao Zhang, Han Liu, Xiaotong Zhang Recommender system based on scarce information mining Wei Lu, Fu-lai Chung, Kunfeng Lai, Liang Zhang Emergence of ultrafast sparsely synchronized rhythms and their responses to external stimuli in an inhomogeneous small-world complex neuronal network Sang-Yoon Kim, Woochang Lim Synchronization of stochastic reaction?diffusion neural networks with Dirichlet boundary conditions and unbounded delays Yin Sheng, Zhigang Zeng Fractional-order leaky integrate-and-fire model with long-term memory and power law dynamics Wondimu W. Teka, Ranjit Kumar Upadhyay, Argha Mondal Memristor standard cellular neural networks computing in the flux?charge domain Mauro Di Marco, Mauro Forti, Luca Pancioni Master?slave exponential synchronization of delayed complex-valued memristor-based neural networks via impulsive control Xiaofan Li, Jian-an Fang, Huiyuan Li Hybrid impulsive and switching Hopfield neural networks with state-dependent impulses Xianxiu Zhang, Chuandong Li, Tingwen Huang A new method for quantifying the performance of EEG blind source separation algorithms by referencing a simultaneously recorded ECoG signal Naoya Oosugi, Keiichi Kitajo, Naomi Hasegawa, Yasuo Nagasaka, Kazuo Okanoya, Naotaka Fujii From antonior at ffclrp.usp.br Wed Aug 30 21:49:20 2017 From: antonior at ffclrp.usp.br (Antonio C. Roque) Date: Wed, 30 Aug 2017 22:49:20 -0300 Subject: Connectionists: LASCON 2018 - VII Latin American School on Computational Neuroscience (Call for applications) Message-ID: **** Apologies for cross-posting **** VII Latin American School on Computational Neuroscience - LASCON 2018 January 7 - February 2, 2018, University of S?o Paulo, Sao Paulo, Brazil www.sisne.org/lascon APPLICATION DEADLINE: September 10, 2017 SECOND ANNOUNCEMENT Dear Colleagues, Following the success of the previous editions of LASCON (Latin American School on Computational Neuroscience), I am pleased to announce the 7th LASCON, which will take place between January 7 and February 2 2018 at the NeuroMat Center in the University of Sao Paulo, Sao Paulo, Brazil. LASCON aims at introducing young researchers and graduate and advanced undergraduate students to the use of computational and mathematical methods for modeling neurons and neural networks. The following topics will be covered: biophysically detailed single neuron models; stochastic modeling of ion channels; reduced and simplified single neuron models; networks of biophysical and simplified neuron models; synaptic plasticity and learning; active inference and predictive coding; spike train analysis; dynamics of neuronal functional connectivity; variable length memory chains and applications in neuroscience; computational psychiatry. These subjects will be illustrated with the use of programs NEURON, neuroConstruct, XPP-AUTO, Matlab, NEST, Brian and the Virtual Brain. Students will have to work on small research projects (to be done in groups of two), which they will present orally at the end of the school. The following lecturers will be in charge of theoretical classes and tutorials: Adriano Tort, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil Aline Duarte, Universidade de S?o Paulo, S?o Paulo, SP, Brazil Andre Bastos, Massachusetts Institute of Technology, Cambridge, MA, USA Antonio Galves, Universidade de S?o Paulo, S?o Paulo, SP, Brazil Arnd Roth, University College, London, UK Boris Marin, Universidade de S?o Paulo, Ribeir?o Preto, SP, Brazil Christophe Pouzat, Universite Paris Descartes, Paris, France Daniel Takahashi, Princeton University, Princeton, NJ, USA Demian Battaglia, Aix-Marseille Universite, Marseille, France German Mato, Centro Atomico Bariloche, San Carlos de Bariloche, RN, Argentina Guilherme Ost, Universidade de S?o Paulo, S?o Paulo, SP, Brazil John Murray, Yale University, New Haven, CT, USA Mauro Copelli, Universidade Federal de Pernambuco, Recife, PE, Brazil Maximilian Schmidt, RIKEN Brain Science Institute, Wako-shi, Japan Patr?cio Orio, Universidad de Valpara?so, Valpara?so, Chile Pedro Maldonado, Universidad de Chile, Santiago, Chile Sacha van Albada, Forschungszentrum Ju?lich, Ju?lich, Germany Salvador Dur?-Bernal, State University of New York, New York, NY, USA Volker Steuber, University of Hertfordshire, Hatfield, UK William Lytton, State University of New York, New York, NY, USA The number of students is limited to 20 and applications should be made electronically via the application form in the school's web page ( www.sisne.org/lascon). Applicants are also requested to submit a detailed CV (in English) and to provide two letters of recommendation. The application deadline is September 10 2017 (until midnight, US Pacific time). There is no registration fee for the school. Costs for accommodation will be covered by the school organization. Travel costs have to be covered by the students. Sao Paulo is the major transportation hub in South America, so it is possible to fly from basically anywhere in the world to it. In the selection procedure, priority will be given to Latin-American students, but students from other parts of the world are encouraged to apply as well. LASCON 2018 is an activity of the FAPESP Center for Neuromathematics (NeuroMat -*http://neuromat.numec.prp.usp.br/ *). I am looking forward to see you in Sao Paulo. Best regards, A. Roque LASCON Director -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior at ffclrp.usp.br aroquesilva at gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 (sala/office); +55 16 3315-3859 (lab) FAX: +55 16 3315-4887 -------------- next part -------------- An HTML attachment was scrubbed... URL: From avellido at lsi.upc.edu Thu Aug 31 05:41:54 2017 From: avellido at lsi.upc.edu (Alfredo Vellido) Date: Thu, 31 Aug 2017 11:41:54 +0200 Subject: Connectionists: ESANN'18: 1st CFP: sp.sess. on DEEP LEARNING IN BIOINFORMATICS AND MEDICINE Message-ID: ***Apologies for crossposting*** *1st CFP:? special session on "DEEP LEARNING in BIOINFORMATICS and MEDICINE" at ESANN 2018** ** *European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 25-27 April 2018, Bruges, Belgium www.esann.org *DESCRIPTION:** *Deep learning (DL) has been harnessing the attention of the machine learning research community over the latter years. Much of its success roots on having made available models and technologies capable of achieving ground-breaking performances in a variety of traditional fields of application of machine learning, such as machine vision and natural language processing (NLP). Medicine, genetics, biology and chemistry are among the research fields where machine learning models find most consolidated applications. Admittedly, some of the DL flagships, like NLP and image processing have their implications in Medicine, e.g., in extracting information from the text of patients? records or in analyzing medical imagery to find anomalous patterns. However, DL methodologies have only recently started to be used to address relevant bioinformatics and cheminformatics challenges. Reasons for such a slowed-down permeation can be sought in the complexity of the DL models which might prove difficult to use in novel application fields by non-machine learning experts. Lack of interpretability and insight into the trained models might also have been a limiting factor. Despite such few limitations, DL methodologies offer far more enabling aspects and technologies for developing impacting contributions in bioinformatics research. Between the most relevant are the ability to effectively and efficiently process complex, large scale and multi-modal data, e.g. collections of biomedical images and associated patient information, DNA sequences, molecular graphs. The modular design of deep architectures together with the potential for re-using parts of previously trained models on novel tasks is another potential success enabler for bioinformatics applications. This special session is meant to attract researchers who develop, investigate, or apply DL methods on biomedical and chemistry data. We aim to bring together researchers working on the topic from both the deep learning and the bioinformatics communities. Topics include, but are not restricted to: -? DL applications and novel models for biology, chemistry, genetics, medicine and omics-data -? Interpretability and provable properties of DL models. -? Learning representations from multi-modal bioinformatics data. -? Deep models for visual analytics and inspection of biomedical data. -? NLP for knowledge discovery in the medicine field. -? Deep Reinforcement Learning for the optimization of medical treatments. -? DL for structured data processing in bioinformatics and chemistry. -? High performance computing for DL and bioinformatics. -? Software frameworks and toolkits specific for DL in bioinformatics and medical applications. *SUBMISSION:** *Through ESANN web: http://www.elen.ucl.ac.be/esann/index.php?pg=submission. *PRELIMINARY DATES:** *Paper submission deadline : 20 November 2017 Notification of acceptance : 31 January 2018 *SPECIAL SESSION ORGANISERS:** *- Miguel Atencia, Universidad de M?laga (Spain) matencia at ctima.uma.es / http://www.matap.uma.es/profesor/matencia - Davide Bacciu, Universit? di Pisa (Italy) bacciu at di.unipi.it? / http://pages.di.unipi.it/bacciu - Paulo J.G. Lisboa, Liverpool John Moores University (U.K.) P.J.Lisboa at ljmu.ac.uk? / https://www.ljmu.ac.uk/about-us/staff-profiles/faculty-of-engineering-and-technology/department-of-applied-mathematics/paulo-lisboa - Jos? D. Martin, Universitat de Val?ncia (Spain) jose.d.martin at uv.es? /? http://www.uv.es/jdmg - Ruxandra Stoean, University of Craiova (Romania) rstoean at inf.ucv.ro? /? http://inf.ucv.ro/~rstoean - Alfredo Vellido, Universitat Polit?cnica de Catalunya (Spain) avellido at lsi.upc.edu? /? http://www.cs.upc.edu/~avellido -------------- next part -------------- An HTML attachment was scrubbed... URL: From winterschool2018 at cin.uni-tuebingen.de Thu Aug 31 07:35:51 2017 From: winterschool2018 at cin.uni-tuebingen.de (Winterschool2018) Date: Thu, 31 Aug 2017 13:35:51 +0200 Subject: Connectionists: =?utf-8?q?Call_for_registration=3A_Winter_School_?= =?utf-8?q?=22Sex_Hormones_=26_the_Brain=22_31_Jan_-_2_Feb_2018_at_the_Uni?= =?utf-8?q?versity_of_T=C3=BCbingen=2C_Germany?= Message-ID: <20170831133551.Horde.19XC4GQsn2pGWDHThMv-6gO@webmail.uni-tuebingen.de> CALL FOR REGISTRATION: Winter School "Sex Hormones and the Brain", T?bingen/Germany, 31 Jan - 2 Feb 2018 ? ? Dear colleagues, ? we are happy to announce our Winter School on "SEX HORMONES AND THE BRAIN" that will take place at the University of T?bingen, Germany, from 31 JANUARY TO 2 FEBRUARY 2018. It is organized by the Universities of T?bingen, Germany, and Uppsala, Sweden, within the Matariki Network of Universities. ? Talks will cover the impact of human sex hormones on essential aspects of mental health and disease, including structural and functional brain connectivity, (social) cognition, metabolism, mood and gender. There will be keynote and honorary lectures by Vibe G. Frojkaer (Copenhagen), Ute Habel (Aachen) and Niels Birbaumer (T?bingen). Participants are encouraged to present posters highlighting their most recent data. ? REGISTRATION DEADLINE IS 31 OCTOBER 2017. Please visit www.cin.uni-tuebingen.de/winterschool2018 for further information and registration, or contact us at winterschool2018 at cin.uni-tuebingen.de. ? We are looking forward to welcoming you in T?bingen. Birgit Derntl and Manfred Hallschmid -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: WS Sex Hormones and the Brain Flyer.pdf Type: application/pdf Size: 478527 bytes Desc: not available URL: From jkrichma at uci.edu Thu Aug 31 14:14:27 2017 From: jkrichma at uci.edu (Jeff Krichmar) Date: Thu, 31 Aug 2017 11:14:27 -0700 Subject: Connectionists: APA Technology, Mind, & Society Conference - Submissions due Oct 20 References: Message-ID: Dear Colleagues, This upcoming APA conference on Technology, Mind, & Society may be of interest to many of you. See attached or: http://www.apascience.org/conference/index.html Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma Take Action Trouble viewing this email? Click here to view in a browser. The American Psychological Association will hold an interdisciplinary conference on Technology, Mind, and Society in Washington, D.C., on April 5-7, 2018. Scientists, practitioners, policymakers, and students from around the world are invited to participate in the event. The conference will provide a venue for reporting and assessing current efforts to understand and shape the interactions of human beings and technology, for identifying priorities for future work, and for promoting exchange and collaboration among participants. The conference will feature four keynote speakers: Cynthia Breazeal (MIT), Justine Cassell (Carnegie Mellon), Eric Horvitz (Microsoft Research), and Sandy Pentland (MIT). APA invites you and your colleagues and students to submit papers, symposia, and posters for this conference, which will be organized around the following broad themes: Basic research: How humans understand and use technology, impacts of technology on human experience and behavior, human-technology interactions as mutually adaptive systems, role of technology in advancing other areas of scientific research, and related topics. Foundations of technology design: Development of technologies informed by psychological, behavioral, and social science research. Applications: Development, use, and impact of specific technologies in domains such as aging, education, mental and physical health, recreation, and the workplace. Broader implications: Ethical and policy questions concerning the opportunities and challenges arising from human-technology interactions. The deadline for submissions is October 20, 2017. Submissions can be madehere . The conference is open to researchers, professionals, and students in all relevant areas, including psychology and other behavioral and social sciences, neuroscience, computer science, engineering, design, health research, education research, city and regional planning, public policy, history of science and technology, and philosophy. The conference aims to address the full range of contemporary and emerging technologies. These include but are not limited to artificial intelligence, robotics, mobile devices, social media, virtual/augmented reality, gaming, geographic information systems, autonomous vehicles, and biomedical technologies (e.g., brain-machine interfaces, genetic engineering). APA is sponsoring the conference in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery ? Special Interest Group for Computer-Human Interaction (ACM SIGCHI). We look forward to seeing you at the Technology, Mind, and Society Conference! For additional information, see the conference website . If you have any questions, please contact the APA Science Directorate (science at apa.org ). VISIT THE CONFERENCE WEBSITE! ? American Psychological Association 750 First Street, NE, Washington, DC 20002 Your e-mail address was obtained from either the APA membership database or the APA Science Directorate contacts list. This message is a one-time mailing. To unsubscribe send a message to this email contact:science at apa.org . You may also call 202-336-6000. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Technology-Mind-Society-Conference.pdf Type: application/pdf Size: 251075 bytes Desc: not available URL: -------------- next part -------------- An HTML attachment was scrubbed... URL: From dengdehao at gmail.com Thu Aug 31 21:22:12 2017 From: dengdehao at gmail.com (Teng Teck Hou) Date: Fri, 1 Sep 2017 09:22:12 +0800 Subject: Connectionists: [EAIS 2018] Paper Submission deadline is on Saturday, 20th of January 2018 2359 UTC-12hr Message-ID: <008701d322c0$be768560$3b639020$@gmail.com> [Apologies for cross-postings] ################################################## CALL FOR PAPERS IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) 25-27 of May 2018, Island of Rhodes, Greece http://easyconferences.eu/eais2018/ ################################################## Contributions will be selected based upon their quality as evaluated by the reviewers. An online submission system for contributions will be made available on this webpage soon. Papers must be comprised of up to 8 pages and they will be published in the IEEE Explore All contributions have to be prepared according to the IEEE conference style guidelines. To see the Topics please visit: http://easyconferences.eu/eais2018/topics.html ################################################## The 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) will be held in The 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2018) will be held in the exotic island of Rhodes (Greece) which has a beautiful medieval town built by the crusaders and it is preserved as UNESCO monument. A main characteristic of Rhodes is its long ancient history with many ancient Greek sites. Set against the historic backdrop of Rhodes island is the elegant and pisturesque lowrise architecture of Aldemar Amilia Mare Village, an all-inclusive seaside resort. Newly refurbished luxury rooms with sea or garden views are the perfect choice for all holidaymakers, f rom singles to families. Dive into crystal clear swimming pools, try a wide range of watersports at the beach, enjoy the Spa Centre with its fully equipped fitness area and sample the cosmopolitan delights of the themed restaurants. ##############################Important Dates############################## * Paper Submission January 20, 2018 * Special Session Proposals 20 December, 2017 * Paper Decision Notification January 15, 2018 * Camera-Ready Submission February 15, 2018 * Authors registration To be announced * Conference May 25 - 27 2018 ########################################################################### ########################## At least three distinguished Keynote Speakers will be invited ########################## ##################### SPECIAL ISSUES ################################### Selected papers (from the list of the accepted and presented ones) will be considered for publication and inclusion in Special Issue of the EVOLVING SYSTEMS (EVOS) Springer Journal. At least one more Special Issue will be edited ##################Topics and Areas of Interest################## This conference solicits papers addressing original works in topics and areas of interest including, but are not limited to: * Basic Methologies Evolving Soft Computing Techniques Evolving Fuzzy Systems Evolving Rule-Based Classifiers Evolving Neuro-Fuzzy Systems Adaptive Evolving Neural Networks Adaptive Evolving Fuzzy Systems Online Genetic and Evolutionary Algorithms Data Stream Mining Incremental and Evolving Clustering Approaches Adaptive Control Adaptive Pattern Recognition Computational Intelligence in Control and Estimation Incremental and Evolving ML Classifiers Adaptive Statistical Techniques Evolving Decision Systems Big Data Advanced Concepts * Problems and Methodologies in Data Streams Stability, Robustness, Convergence in Evolving Systems Online Feature Selection and Dimension Reduction Online Active and Semi-supervised Learning Online Complexity Reduction Computational Aspects Interpretability Issues Incremental Adaptive Ensemble Methods Online Bagging and Boosting Self-monitoring Evolving Systems Human-Machine Interaction Issues Hybrid Modeling Transfer Learning Reservoir Computing Real-world Applications * EIS for On-Line Modeling, System Identification, and Control EIS for Time Series Prediction EIS for Data Stream Mining and Adaptive Knowledge Discovery EIS in Robotics, Intelligent Transport and Advanced Manufacturing EIS in Advanced Communications and Multi-Media Applications EIS in Bioinformatics and Medicine EIS in Online Quality Control and Fault Diagnosis EIS in Condition Monitoring Systems EIS in Adaptive Evolving Controller Design EIS in User Activities Recognition EIS in Huge Database and Web Mining EIS in Visual Inspection and Image Classification EIS in Image Processing EIS in Cloud Computing EIS in Multiple Sensor Networks EIS in Query Systems and Social Networks EIS in Alternative Statistical and Machine Learning Approaches ################################################################ ##########################Organizing Committee########################## * General co-Chairs Plamen Angelov, Lancaster University, UK Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece PC co-Chairs Edwin Lughofer Johannes, Kepler University Linz, Austria Lazaros Iliadis, Democritus University of Thrace Honorary co-Chairs Dimitar Filev, Ford Motor Company, USA Nikola Kasabov, Auckland University of Technology, New Zealand Special session co-Chairs Abdelhamid Bouchachia, University of Bournemouth, UK Jose Antonio Iglesias, Carlos III University of Madrid (Leganes, Spain) Organizing Chair Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece Local Organizing co-Chairs Constantinos Demertzis, Democritus University of Thrace, Greece Antonis Papaleonidas, Democritus University of Thrace, Greece Workshop co-chairs M. Sayed - Mouchaweich, Universite Lille, France Andre Paim Lemos, Univerity Minas Gerais, Brazil Publicity and Publication co-Chairs Teck-Hou, Teng Singapore Management University, Singapore Antonis Papaleonidas, Democritus University of Thrace, Greece Web Admin Kyriakos Georgiades, Easy Conferences, Cyprus * International Program Committe Plamen Angelov, Lancaster University, UK Rosangela Ballini, University of Campinas, Brazil Jorge Cassillas, University of Granada, Spain Dejan Dovzan, University of Ljubljana, Slovenia Nadine Gaertner, SAP, Germany Lazaros Iliadis, Democritus University of Thrace, Greece Nik Kasabov, Auckland University of Technology, New Zealand Spyros Likothanasis, University of Patras, Greece Daniel Furtado Leite, Federal University of Lavras, Brazil Andre Lemos, Federal University of Minas Gerais, Brazil Edwin Lughofer, Johannes Kepler University, Linz, Austria Yannis Manolopoulos, Aristotle University of Thessalonii, Greece Trevor Martin, University of Bristol, UK Seiichi Ozawa, Kobe University, Japan Witold Pedrycz, University of Alberta, Canada Radu-Emil Precup, University of Timisoara, Romania Olga Senyukova, Lomonosov Moscow State University, Moscow, Russia El Mustapha Mouaddib, Universite de Picardie Jules Verne, France Jus Kocijan, Jozef Stefan Institute, Ljubljana,Slovenia ####################################################################### #########################Sponsoring Organizations######################### * IEEE * Aristotle University of Thessaloniki, Greece * Democritus University of thrace, Greece ########################################################################## -------------- next part -------------- An HTML attachment was scrubbed... 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