From O.Inel at tudelft.nl Mon Sep 2 07:40:59 2019 From: O.Inel at tudelft.nl (Oana Inel) Date: Mon, 2 Sep 2019 11:40:59 +0000 Subject: Connectionists: ACM IUI 2020 - Third Call for Workshop and Tutorial Proposals Message-ID: <6BE2655B-ABF4-4CF0-BA7D-9F387327BBE2@tudelft.nl> * Apologies if you receive multiple copies of this message* ACM IUI 2020 - CALL FOR WORKSHOP AND TUTORIAL PROPOSALS In conjunction with the 25th International Conference on Intelligent User Interfaces (IUI 2020) Cagliari, Italy March 17, 2020 https://iui.acm.org/2020/ WORKSHOP CO-CHAIRS Casey Dugan, IBM Research Carmen Santoro, CNR-ISTI, HIIS Laboratory Simone Stumpf, City, University of London workshops2020 at iui.acm.org CALL FOR PROPOSALS We are pleased to invite proposals for workshops and tutorials to be held in conjunction with the conference. The goal of the workshops is to provide a venue for presenting research on focused topics of interest and an informal forum to discuss research questions and challenges. Tutorials are designed to provide fundamental knowledge and experience on topics related to intelligent user interfaces, and the intersection between Human-Computer Interaction (HCI) and Artificial Intelligence (AI). Note: We encourage you to contact the chairs with your ideas (workshops2020 at iui.acm.org), and work together to prepare an exciting proposal. We encourage proposals for a wide range of workshops and tutorials, including but not limited to: - "Mini-conferences" on specialized topics; such workshops may have their own paper submission and review processes. - "Late breaking work" meetings; such workshops usually have a lighter review process (e.g. based on abstracts only). - "Hands-on" workshops around a specific problem or topic that may wish to ask participants to submit a position statement. - "Project centric" workshops that may be closely related to the scope of an existing large scale (e.g. NSF, EU, etc. funded) project. - "Mini-competitions", challenges, or hackathons around selected topics with individual or team participation. - Tutorials on a specific topic relevant to IUI; for example, methods and approaches in HCI and/or AI, specific techniques or algorithms to develop intelligent user interfaces, etc. Workshops and tutorials will be held on the first day of the conference. We invite submissions of proposals for full-day (6 hours) and half-day (3 hours) workshop or tutorial. Proposals will be reviewed and evaluated by the workshop and tutorials chairs. Workshops with few submissions by Friday, 20 December 2019 may be cancelled, shortened, merged with other workshops, or otherwise restructured. The organizers of accepted workshops and tutorials are responsible for producing a call for participation and publicizing it, such as distributing the call to relevant newsgroups and electronic mailing lists, and especially to potential audiences from outside the IUI conference community. Workshop and tutorial organizers will maintain their own website with information about the workshop or tutorial and the IUI 2020 web site will refer to the this website. The workshop organizers will coordinate the paper solicitation, collection, and review process. A workshop and tutorials summary will be included in the ACM Digital Library for IUI 2020, however, there will be no archived published proceedings of workshop papers this year. We strongly encourage workshop organizers to arrange a volume of online proceedings for their workshop papers themselves, for example, by using www.ceur-ws.org. PROPOSAL FORMAT Workshop or tutorial proposals should be maximum 2 pages long and follow the formatting instructions at https://www.acm.org/publications/proceedings-template. Please either use the Word interim template with Libertine fonts downloaded and embedded, or the LaTex sigconf template. The proposals should be organized as follows: - Name and title: A one-word acronym and a full title. Please indicate ?(Workshop)? or ?(Tutorial)? after the title, as appropriate. - Description of workshop or tutorial topic: This description should discuss the relevance of the suggested topic to IUI and its interest for the IUI2020 audience. Include a brief discussion of why and for which audience the workshop or tutorial is of particular interest. - Previous history: List of previous workshops or tutorials that were held on the topic including the conferences that hosted past workshops or tutorials and the number of participants. - Organizer(s): Names, affiliations, emails, and web pages of the organizer(s). Provide a brief description of the background of the organiser(s). Strong proposals normally include organizers who bring differing perspectives on the topic and are actively connected to the communities of potential participants. Please indicate the primary contact person and the organizers who plan to attend the workshop. Also please provide a list of other workshops or tutorials organized by workshop organizers in the past. - Workshop program committee: Names and affiliation of the members of the (tentative) workshop program committee that will evaluate the workshop submissions. - Participants: A statement saying how many participants you expect and how you plan to invite participants for the workshop or tutorial. If possible, include the names of at least 10 people who have expressed interest to participate in the workshop or tutorial. - Workshop or Tutorial format: A brief description of the format regarding the mix of events or activities, such as paper presentations, invited talks, panels, demonstrations, teaching activities, hands-on practical exercises, general discussion. Please also list here any material you will make available to tutorial participants, e.g. slides, access to hardware/software, handouts, etc. - Planned outcomes of the workshop or tutorials: What are you hoping to achieve by the end of the workshop or tutorials. Please list here any planned publications or other outputs arising workshops, including your plans for making workshop papers available. - Length: Full-day or half-day. Please submit your proposal via https://new.precisionconference.com/ selecting the IUI 2020 Workshops and Tutorials track. IMPORTANT DATES Discuss your topic with the workshop and tutorials chairs: ASAP (workshops2020 at iui.acm.org) Proposals due: Monday, 9 September 2019 Decisions Sent: Monday, 14 October 2019 ** TENTATIVE dates of the review cycle ** Workshop Submissions:Tuesday, 17 December 2019 Go/No-go Decision on Workshops: Friday, 20 December 2019 Notifications to authors: Tuesday, 14 January 2020 Camera-ready for Workshop/Tutorial summary: Friday, 17 January 2020 Workshops/Tutorials held: Tuesday, 17 March 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From mschaub at mit.edu Mon Sep 2 08:19:55 2019 From: mschaub at mit.edu (Michael Schaub) Date: Mon, 2 Sep 2019 13:19:55 +0100 Subject: Connectionists: CFP COMPLEX NETWORKS 2019 --- Deadline Extended to September 16, 2019 In-Reply-To: <823e823c-0be7-afa8-de82-2cf3572ded4d@mit.edu> References: <823e823c-0be7-afa8-de82-2cf3572ded4d@mit.edu> Message-ID: /__//_Apologies for any cross posting_/ */Eighth/*/*Int. Conference on Complex Networks & Their Applications*/ /Lisbon, Portugal Dec. 10- 12, 2019/ http://www.complexnetworks.org You are cordially invited to submit your contribution until *September 16, 2019**FIRM DEADLINE* *Full papers (not previously published up to 12 pages) *and *Extended Abstracts* *(about published or unpublished research up to 3 pages)* *are welcome.* ??????? *Papers *will be included in the conference *proceedings edited by Springer* ??????? *Extended abstracts*will be published in the *Book of Abstracts (with ISBN)* ??????? Extended versions will be invited for publication in *special issues of international journals:*** o?? Applied Network Science edited by Springer o?? Computational Social Networks edited by Springer o?? Network Science edited by Cambridge University Press o?? Social Network Analysis and Mining edited by Springer o PLOS one *Speakers :*** ??????? Lada Adamic Facebook, USA ??????? Reka Albert Penn State, USA ??????? Ulrik Brandes ETH Zurich, Switzerland ??????? Jari Saram?ki Aalto University, Finland ??????? Stefan Thurner Medical University of Vienna, Austria ??????? Michalis Vazirgiannis Ecole Polytechnique, France ? *Tutorials:**?*December 09, 2019 ??????? Diego Saez-Trumper Wikimedia Foundation ??????? Maria Angeles Serrano University of Barcelona, Spain *?* *Topics include, but are not limited to: * o?? Models of Complex Networks o?? Structural Network Properties and Analysis o?? Complex Networks and Epidemics o?? Community Structure in Networks o?? Community Discovery in Complex Networks o?? Motif Discovery in Complex Networks o?? Network Mining o?? Network embedding methods o?? Machine learning with graphs o?? Dynamics and Evolution Patterns of Complex Networks o?? Link Prediction o?? Multilayer Networks o?? Network Controllability o?? Synchronization in Networks o?? Visual Representation of Complex Networks o?? Large-scale Graph Analytics o?? Social Reputation, Influence, and Trust o?? Information Spreading in Social Media o?? Rumour and Viral Marketing in Social Networks o?? Recommendation Systems and Complex Networks o?? Financial and Economic Networks o?? Complex Networks and Mobility o?? Biological and Technological Networks o?? Mobile call Networks o?? Bioinformatics and Earth Sciences Applications o?? Resilience and Robustness of Complex Networks o?? Complex Networks for Physical Infrastructures o?? Complex Networks, Smart Cities and Smart Grids o?? Political networks o?? Supply chain networks o?? Complex networks and information systems o?? Complex networks and CPS/IoT o?? Graph signal processing o?? Cognitive Network Science o?? Network Medicine o?? Network Neuroscience o?? Quantifying success through network analysis o?? Temporal and spatial networks o?? Historical Networks ? *GENERAL CHAIRS* Hocine Cherifi ?(University of Burgundy, France) Jos? Fernando Mendes (University of Aveiro, Portugal) Luis M. Rocha (Indiana University) ? *ADVISORY BOARD* Jon Crowcroft (University of Cambridge, UK) Raissa D'Souza ?(UC Davis, USA) Eugene Stanley (Boston University, USA) Ben Y. Zhao ?(University of Chicago, USA) ? *PROGRAM CHAIRS* Sabrina Gaito ?(Universit? degli Studi di Milano, Italy) Esteban Moro (Universidad Carlos III de Madrid , Spain) ? *PROGRAM CO-CHAIRS* Joana Gon?alves-S? (Universidade Nova de Lisboa, Portugal) Francisco Santos (University of Lisbon, Portugal) ? *SATELLITE CHAIRS* Luca Maria Aiello (Nokia-Bell Labs, UK) Rosa . M Benito (Universidad Politecnica de Madrid ) ? *LIGHTNING CHAIRS* Nuno Araujo (Lisbon University, Portugal) Huijuan Wang (TU Delft, Netherlands) Taha Yasseri (University of Oxford, UK) *?* *POSTER CHAIRS* Maria Clara Gracio (University of Evora) Gitajanli Yadav (University of Cambridge, UK) Jinhu L? (Chines Ac. Science, Bejing, China) ? *TUTORIAL CHAIR* Bruno Goncalves (Morgan Stanley, USA) ? *PUBLICITY CHAIRS* Carlos Gershenson ?(Universidad Nacional Aut?noma de M?xico , Mexico) Leto Peel ?(Universit? Catholique de Louvain , Belgium) Michael Schaub (MIT, USA) Feng Xia ?(Dalian University of Technology, China) ? *SOCIAL MEDIA CHAIRS* Andreia Sofia Teixeira (universidade de Lisboa, Portugal) ? *PUBLICATION CHAIR* Chantal Cherifi (University of Lyon, France) ? *WEB CHAIR* Matteo Zignani ?(Universit? degli Studi di Milano, Italy) ? *SUBMISSION CHAIR* Christian Quadri ?(Universit? degli Studi di Milano, Italy) ? *LOCAL COMMITTEE CHAIRS* Manuel Marques-Pita (University Lus?fona, Portugal) ? ? -------------- next part -------------- An HTML attachment was scrubbed... URL: From donatello.conte at univ-tours.fr Mon Sep 2 10:22:58 2019 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Mon, 2 Sep 2019 16:22:58 +0200 Subject: Connectionists: Second CfP on Video Processing for Human Behavioral Analysis (VP-HBA) Track at 35th ACM-SAC 2020 in Brno, Czech Republic Message-ID: <01b801d56199$eb54c730$c1fe5590$@univ-tours.fr> --------------------------------------------------------- Apologies for multiples copies --------------------------------------------------------- Call for Papers Video Processing for Human Behavioral Analysis (VP-HBA) Track https://sites.google.com/view/vp-hba-sac-2020 Motivations and topics The ACM Symposium on Applied Computing (SAC) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2020 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Brno, Czech Republic. The technical track on Video Processing for Human Behavioral Analysis (VP-HBA) will be organized for the first time in SAC 2020. Actions, but also personality behavior recognition is starting to be explored in the computer vision research field. Tools for effectively analyzing these sort of behaviors have a major impact into everyone's life, with applications in health, security, human computer/machine/robot interaction and entertainment. This track intend to focus in all aspects of computer vision and pattern recognition devoted to the automatic analysis of human behavior by applying recent or new video processing techniques. The scope of VP-HBA includes, but is not limited to, the following topics: . Human behavior analysis from visual and multimodal information . Human action recognition . Information fusion for the analysis of human behavior . Crowds analysis in videos . Articulated body posture estimation . Interactions engagement modeling and detection . (Multi-Modal) Learning from Videos . Object Detection and Tracking . Elderly person monitoring systems . Gesture and Gait Analysis . Expression and emotion Recognition . Affective Computing . Applications of behavior analysis methods, e.g., medicine, sports, well-being, security, environment . Multimodal non-verbal signals analysis . Spatio-temporal concept detection and recognition (trajectory analysis, etc.) Submission Guidelines Authors are invited to submit original and unpublished papers of research and applications for this track. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review. Please, visit the website for more information about submission SAC No-Show Policy Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. Important Dates Submission of regular papers: September 15, 2019 Notification of acceptance/rejection: November 10, 2019 Camera-ready copies of accepted papers: November 25, 2019 SAC Conference: March 30-April 3, 2020 Donatello Conte Jean-Yves Ramel Raffaella Lanzarotti (General chairs) -------------- next part -------------- An HTML attachment was scrubbed... URL: From alamer_2005 at yahoo.com Mon Sep 2 15:14:20 2019 From: alamer_2005 at yahoo.com (Ali Ismail Awad) Date: Mon, 2 Sep 2019 19:14:20 +0000 (UTC) Subject: Connectionists: [Call for Papers] Special Issue on Security and Privacy of Wearable and Implantable IoT Devices In-Reply-To: <1549080292.470099.1559950375645@mail.yahoo.com> References: <633695936.646561.1541375517928.ref@mail.yahoo.com> <633695936.646561.1541375517928@mail.yahoo.com> <1611697161.5193629.1551178107557@mail.yahoo.com> <575371767.984349.1557674984759@mail.yahoo.com> <1549080292.470099.1559950375645@mail.yahoo.com> Message-ID: <617637629.1304943.1567451660107@mail.yahoo.com> Dear Colleagues,? We welcome your submissions to the Special Issue on Security and Privacy of Wearable and Implantable IoT Devices. More information can be researched in this link: https://www.journals.elsevier.com/internet-of-things/call-for-papers/security-privacy-wearable-implantable-iot-devices ResearchGate: https://www.researchgate.net/profile/Ali_Awad3 LinkedIn:?https://www.linkedin.com/in/ali-awad/? Best regards,Ali. -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Tue Sep 3 06:35:26 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 3 Sep 2019 13:35:26 +0300 Subject: Connectionists: 23rd Pan-Hellenic Conference on Informatics (PCI 2019): Final Call for Papers In-Reply-To: <4CE75EA3-1A07-4281-A6DD-22447C2DA1DF@cs.ucy.ac.cy> References: <52BFE0CA-1718-419F-915B-083C851BD2EA@cs.ucy.ac.cy> <4CE75EA3-1A07-4281-A6DD-22447C2DA1DF@cs.ucy.ac.cy> Message-ID: *** FINAL CALL FOR PAPERS *** 23rd Pan-Hellenic Conference on Informatics (PCI 2019) University of Nicosia, Nicosia, Cyprus, November 28-30, 2019 https://www.unic.ac.cy/pci2019 *** Submission Deadline: September 17, 2019 (extended) *** *** Proceedings to be published by ACM ICPS *** The University of Nicosia, the University of Cyprus, the Open University Cyprus and the Greek Computer Society organize the 23rd Pan-Hellenic Conference on Informatics (PCI 2019) in Nicosia, Cyprus on November 28-30, 2019. PCI 2019 aims to provide an effective channel of communication among researchers, practitioners, decision-makers and entities concerned with the latest research, scientific development and practice on ICT to discuss current, state-of-the-art topics that are of relevance and significance for national competitiveness as well as for sustainable, robust and equitable regional development. Submissions to PCI 2019 might cover, but are not limited, to the following topics: ? Algorithms & Data Structures ? Artificial Intelligence ? Bioinformatics ? Bio & Nature Inspired Computing ? Blockchain Technologies ? Cloud Computing ? Communication & Information Systems Security and Privacy ? Computational Science ? Computer & Communication Networks ? CRM & ERP Systems ? Databases ? Data Mining ? Digital Libraries ? Digital Systems ? Distributed Computing ? eCommerce, eBusiness, eHealth ? Telecommunication Systems ? Wireless & Mobile Computing ? Learning Technologies ? Graphics, Visualization, Multimedia & Virtual Reality ? Grid, Cluster & P2P Computing ? Hardware & Architecture ? Embedded Systems ? Human-Computer Interaction ? Image and Video Processing ? Information Retrieval ? Information Society: Legal and Regulatory Issues ? Information Systems ? Information Theory ? Knowledge Based Systems ? Numerical & Scientific Computation ? Open Source Software ? Operating Systems ? Parallel & Distributed Systems ? Programming Languages ? Signal Processing ? Software Engineering PCI 2019 encourages the submission of high quality papers with original content in the following tracks: ? Research Paper: full paper (8 pages) describing original and unpublished results of conceptual, empirical, experimental, or theoretical work in all areas of Computer Science. ? Research Project Results: extended abstract (2 pages) presenting the results of funded completed or ongoing research projects at national or European level. ? Industry: extended abstract (2 pages) presenting novel industrial solutions, success stories, and challenges that are encountered in an industry setting when adopting IT technologies. Templates for submissions can be found at the ACM SIG proceedings website: https://www.acm.org/publications/proceedings-template . Papers should be submitted via EasyChair using the following link: https://easychair.org/my/conference?conf=pci2019 . The submitted research papers and extended abstracts will be peer-reviewed on the basis of technical quality, relevance to scope of PCI, originality, significance, and clarity. Note that submitted papers should have neither been published nor submitted for publication elsewhere. The working language of the conference is English and the papers should be written in that language. As in previous years, the final version of the research papers accepted for presentation at PCI 2019 will be published by ACM in the ICPS Series and will be included in the ACM Digital library. The accepted extended abstracts will be allocated either a demo or poster slot during the conference. At least one author of each accepted paper or abstract is expected to register, attend the conference and present their contribution. Invited Speakers ? Professor George Chrysanthou ? Professor George Giaglis Important Dates ? Paper submission deadline: September 17, 2019 (extended) ? Notification of paper acceptance/rejection: October 17, 2019 ? Submission of camera ready papers: October 24, 2019 ? Author registration: October 24, 2019 Organization General Chairs ? Yannis Manolopoulos, Open University Cyprus, Cyprus ? George Angelos Papadopoulos, University of Cyprus, Cyprus ? Athena Stassopoulou, University of Nicosia, Cyprus Program Chairs ? Ioanna Dionysiou, University of Nicosia, Cyprus ? Ioannis Kyriakides, University of Nicosia, Cyprus ? Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus Local Advisory Committee ? Demetris Trihinas (chair, University of Nicosia) ? Achilleas Achilleos (Frederick University Cyprus) ? Panayiotis Andreou (University of Central Lancashire-Cyprus) ? Christodoulos Efstathiades (European University Cyprus) ? Angelika Kokkinaki (University of Nicosia) ? Ioannis Krikidis (University of Cyprus) ? Jahna Otterbacher (Open University Cyprus) ? Vicky Papadopoulou (European University Cyprus) ? Nearchos Paspallis (University of Central Lancashire-Cyprus) ? Michalis Sirivianos (Cyprus University of Technology) ? Stavros Stavrou (Open University Cyprus) ? Demetris Zeinalipour (University of Cyprus) Proceedings Editor ? Harald Gjermundrod (University of Nicosia) Steering Committee ? Christos Douligeris (Greek Computer Society) ? Nikitas Karanikolas (Greek Computer Society) ? Christos Koilias (Greek Computer Society) ? Cleo Sgouropoulou (Greek Computer Society) ? Ioannis Voyatzis (chair, Greek Computer Society) -------------- next part -------------- An HTML attachment was scrubbed... URL: From michal.rafal.zareba at gmail.com Tue Sep 3 16:06:47 2019 From: michal.rafal.zareba at gmail.com (=?UTF-8?B?TWljaGHFgiBaYXLEmWJh?=) Date: Tue, 3 Sep 2019 22:06:47 +0200 Subject: Connectionists: Call for Symposia - NEURONUS 2020 IBRO Neuroscience Forum (24-26 April 2020, Krakow, Poland) Message-ID: CALL FOR SYMPOSIA for NEURONUS 2020 IBRO Neuroscience Forum (24-26 April 2020, Krakow, Poland) is now OPEN! We await your proposals until September 30th. More information and the application form can be found here: http://neuronusforum.pl/call-for-symposia/ With prominent speakers and an unique atmosphere of one of the oldest and most beautiful Polish cities, NEURONUS IBRO Neuroscience Forums have established themselves in the European calendar of scientific events as a platform for communication between scientists from different fields of neuroscience. During the upcoming 11th edition of the conference, we will continue to put emphasis on development of early-career researchers. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. We strongly encourage you to join this special initiative, and hope to see you in the pleasant spring scenery of Krakow! On behalf of the Organising Committee, Micha? Zar?ba -------------- next part -------------- An HTML attachment was scrubbed... URL: From foldes.andrei at gmail.com Tue Sep 3 11:11:38 2019 From: foldes.andrei at gmail.com (Tamas Andrei Foldes) Date: Tue, 3 Sep 2019 16:11:38 +0100 Subject: Connectionists: Postdoc on computational modelling of sleep related memory consolidation Message-ID: We are seeking an outstanding scientist for a 2 year Research Associate post on computational modelling of how memory reactivation during both REM and NonREM phases of sleep differentially impacts on consolidation. Our lab studies the impact of sleep on memory using EEG together with behavioural measures and fMRI. We are particularly interested in how memory replay in sleep may contribute to the formation of cortical representations from knowledge that is initially coded into the hippocampus. We are also interested in how integration of incoming information with pre-existing cortical knowledge may lead to plastic changes in existing schemas, potentially even boosting the creative recombination of ideas or concepts. Sleep provides the perfect opportunity for building and updating models of the world ? so a predictive coding angle would be great. This will be the lab?s first foray into computational modelling, and we are looking for someone experienced in deep nets and / or PDP models. The main role of this person will be to create a computational model which captures the process whereby information is learned in wake and then spontaneously replayed during both REM and NREM phases of sleep (each of which have different characteristics). The model will be informed by behavioural data in which we have manipulated memory replay in these sleep stages (separately), and will be used to inform future experimental design. Note that we also have a PhD student working on this project starting from August, and the successful postdoctoral candidate would have the opportunity to work closely with this student, and potentially be involved in supervision. This project has already generated several grants and we expect it to generate very high impact publications. The post is linked to an ERC grant held by Penny Lewis at the Cardiff University Brain Research Imaging Centre (CUBRIC). CUBRIC is one of the best equipped neuroscience institutes in Europe, housing 3 MRI scanners, including a 7T and a Connectom scanner, a MEG, EEG labs, a brain stimulation lab, and of course the state of the art sleep lab. Further details of CUBRIC can be found on our web-page: http://sites.cardiff.ac.uk/cubric. /*. *The Neuroscience and Psychology of Sleep (NaPS) group is housed within CUBRIC, and conducts world-leading research on the impacts of sleep on cognitive processes. Period of appointment: 2 years. Salary: ?33 - 39K per annum (Grade 6) THE FORMAL ADVERT IS HERE We are hoping to have someone in post by end of Feb 2020 at latest. -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Tue Sep 3 17:53:53 2019 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 03 Sep 2019 14:53:53 -0700 Subject: Connectionists: NEURAL COMPUTATION - August 1, 2019 and September 1, 2019 Message-ID: Neural Computation - Volume 31, Number 8 - August 1, 2019 Available online for download now: http://www.mitpressjournals.org/toc/neco/31/8 http://cognet.mit.edu/content/neural-computation Article On the Organization of Grid and Place Cells: Neural De-noising via Subspace Learning David.M. Schwartz, O. Ozan Koyluoglu Letters Approximating the Architecture of Visual Cortex in a Convolutional Network Bryan P Tripp On the Complexity of Logistic Regression Models Nicola Bulso, Matteo Marsili, and Yasser Roudi When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time David J. Miller, Yujia Wang, and George Kesidis Learning Compositional Representations of Interacting Systems with Restricted Boltzmann Machines: Comparative Study of Lattice Proteins Jerome Tubiana, Simona Cocco, and Remi Monasson Variable Selection for Nonparametric Learning with Power Series Kernels Kota Matsui, Wataru Kumagai, Kenta Kanamori, Mitsuaki Nishikimi, and Takafumi Kanamori ------------ Neural Computation - Volume 31, Number 9 - September 1, 2019 Available online for download now: http://www.mitpressjournals.org/toc/neco/31/9 http://cognet.mit.edu/content/neural-computation Letters Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach Ali Yousefi, Ishita Basu, Angelique C Paulk, Noam Peled, Emad N Eskandar, Darin D Dougherty, Sydney S. Cash, Alik S Widge, and Uri T. Eden Sensitivity to Stimulus Irregularity Is Inherent to Neural Networks Teun van Gilsc, Paul H.E. Tiesinga, Bernhard Englitz, and Marijn B. Martens Learning With Precise Spike Times: A New Decoding Algorithm for Liquid State Machines Dorian Florescu, Daniel Coca A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons S. M. Heidarieh, A. Ghazizadeh, and M. Jahed Hidden Markov Models Predict the Future Choice Better Than a PSTH-based Method Encarni Marcos, Fanrizio Londei, and Aldo Genovesio Supervised Determined Source Separation With Multichannel Variational Autoencoder Hirokazu Kameoka, Li Li, Shota Inoue, and Shoji Makino ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From nakae-k at sys.i.kyoto-u.ac.jp Tue Sep 3 11:10:21 2019 From: nakae-k at sys.i.kyoto-u.ac.jp (Ken Nakae) Date: Wed, 4 Sep 2019 00:10:21 +0900 Subject: Connectionists: Postdoctoral position on computational neuroscience (Kyoto University, Japan) Message-ID: We are seeking a highly motivated post-doc researcher with a background in computational neuroscience and an interest in reinforcement learning. We are conducting a research project, ?Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS; up to 2024/3/31; http://brainminds.jp/en/)? This project aims to reveal a neural basis of decision making and the other cognitive functions based on brain activity data (electrophysiology or Ca2+ imaging) from marmoset/rodent brains. The candidate will work on this project under a collaboration with experiment teams of RIKEN Center for Brain Science (RIKEN CBS). For this position, basic qualifications include PhD in relevant fields with a proven track record of peer-reviewed publications, as well as excellent verbal and written communication skills in English and/or Japanese. You will participate in the project with our members from various backgrounds including computational neuroscience, systems biology, bioinformatics, mathematical engineering, and reinforcement learning. Our laboratory is also collaborating with Advanced Telecommunications Research Institute International (ATR), University of Tokyo, Okinawa institute of science and technology (OIST), RIKEN Center for Brain Science (RIKEN CBS), and other international laboratories. [Job title and Job description] Title is a Full-time Researcher The position is open after October 1st 2019 (negotiable) Work location is Yoshidahonmachi 36-1, Sakyo-ku, Kyoto-city, Japan. 606-8501 The contract is annually renewable up to the end of this project based on the evaluation. Salary will be commensurate with qualifications and experience. Social insurance will be applied. Days off include weekends, public holidays, Year-end and New Year holidays, Foundation Day, and summer vacation. These and other provisions are in accordance with Kyoto University?s regulations. [Application and required documents] Please send the following four materials to the address below, either in printed or electronic form: 1. Complete CV 2. List of publications 3. Reprints of 1 to 3 major publications 4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research - Interests and proposal for research [Selection process] Selection will be made based on application screening and interviews. [Requirements] Applicants must: - have a Ph.D. (or be near completion). - have strong motivations and ambitions to participate in the research above. [Number of openings] One [Deadline for application] October 15th 2019 (will remain open if positions are not filled) [Send application to] Shin Ishii Integrated Systems Biology Laboratory, Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan Email: Shin Ishii http://ishiilab.jp/kyoto/en/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Sep 4 05:46:35 2019 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 4 Sep 2019 11:46:35 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2019 Deadline Extended September 16, 2019 Message-ID: *Apologies for any cross posting* *Eighth** Int. Conference on Complex Networks & Their Applications* *Lisbon, Portugal Dec. 10- 12, 2019* http://www.complexnetworks.org You are cordially invited to submit your contribution until *September 16, 2019** FIRM DEADLINE* *Full papers (not previously published up to 12 pages) *and *Extended Abstracts* *(about published or unpublished research up to 3 pages)* *are welcome.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* ? Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o Social Network Analysis and Mining edited by Springer - PLOS one *Speakers :* ? Lada Adamic Facebook, USA ? Reka Albert Penn State, USA ? Ulrik Brandes ETH Zurich, Switzerland ? Jari Saram?ki Aalto University, Finland ? Stefan Thurner Medical University of Vienna, Austria ? Michalis Vazirgiannis Ecole Polytechnique, France *Tutorials:* December 09, 2019 ? Diego Saez-Trumper Wikimedia Foundation ? Maria Angeles Serrano University of Barcelona, Spain *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Jos? Fernando Mendes (University of Aveiro, Portugal) Luis M. Rocha (Indiana University) *ADVISORY BOARD* Jon Crowcroft (University of Cambridge, UK) Raissa D'Souza (UC Davis, USA) Eugene Stanley (Boston University, USA) Ben Y. Zhao (University of Chicago, USA) *PROGRAM CHAIRS* Sabrina Gaito (Universit? degli Studi di Milano, Italy) Esteban Moro (Universidad Carlos III de Madrid , Spain) *PROGRAM CO-CHAIRS* Joana Gon?alves-S? (Universidade Nova de Lisboa, Portugal) Francisco Santos (University of Lisbon, Portugal) *Join us at *: COMPLEX NETWORKS 2019, Lisbon, Portugal *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From barros at informatik.uni-hamburg.de Wed Sep 4 08:02:01 2019 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Wed, 4 Sep 2019 14:02:01 +0200 Subject: Connectionists: Call For Chapters and dataset release! | Neural and Machine Learning for Emotion and Empathy Recognition: Experiences from the OMG-Challenges by Springer Message-ID: Dear Colleagues, We would like to invite you to contribute a chapter for the upcoming volume entitled ?Neural and Machine Learning for Emotion and Empathy Recognition: Experiences from the OMG-Challenges? to be published by the Springer Series on Competitions in Machine Learning. Our book will be available by mid-2020. Website: https://easychair.org/cfp/OMGBook2019 Follows a short description of our volume: Emotional expression perception and categorization are extremely popular in the affective computing community. However, the inclusion of emotions in the decision-making process of an agent is not considered in most of the research in this field. To treat emotion expressions as the final goal, although necessary, reduces the usability of such solutions in more complex scenarios. To create a general affective model to be used as a modulator for learning different cognitive tasks, such as modeling intrinsic motivation, creativity, dialog processing, grounded learning, and human-level communication, instantaneous emotion perception cannot be the pivotal focus. This book aims to present recent contributions for multimodal emotion recognition and empathy prediction which take into consideration the long-term development of affective concepts. On this regard, we provide access to two datasets: the OMG-Emotion Behavior Recognition and OMG-Empathy Prediction datasets. These datasets were designed, collected and formalized to be used on the OMG-Emotion Recognition Challenge and the OMG-Empathy Prediction challenge, respectively. All the participants of our challenges are invited to submit their contribution to our book. We also invite interested authors to use our datasets on the development of inspiring and innovative research on affective computing. By formatting these solutions and editing this book, we hope to inspire further research in affective and cognitive computing over longer timescales. TOPICS OF INTEREST The topics of interest for this call for chapters include, but are not limited to: - New theories and findings on continuous emotion recognition - Multi- and Cross-modal emotion perception and interpretation - Novel neural network models for affective processing - Lifelong affect analysis, perception, and interpretation - New neuroscientific and psychological findings on continuous emotion representation - Embodied artificial agents for empathy and emotion appraisal - Machine learning for affect-driven interventions - Socially intelligent human-robot interaction - Personalized systems for human affect recognition - New theories and findings on empathy modeling - Multimodal processing of empathetic and social signals - Novel neural network models for empathy understanding - Lifelong models for empathetic interactions - Empathetic Human-Robot-Interaction Scenarios - New neuroscientific and psychological findings on empathy representation - Multi-agent communication for empathetic interactions - Empathy as a decision-making modulator - Personalized systems for empathy prediction Each contributed chapter is expected to present a novel research study, a comparative study, or a survey of the literature. SUBMISSIONS All submissions should be done via EasyChair: https://easychair.org/cfp/OMGBook2019 Original artwork and a signed copyright release form will be required for all accepted chapters. For author instructions, please visit: https://www.springer.com/us/authors-editors/book -authors-editors/resources-guidelines/book-manuscript-guidelines We would also like to announce that our two datasets, related to emotion expressions and empathy prediction, are now fully available. You can have access to them and obtain more information by visiting their website: - OMG-EMOTION - https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/omg_emotion.html - OMG-EMPATHY - https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/omg_empathy.html If you want more information, please do not hesitate to contact me: barros at informatik.uni-hamburg.de IMPORTANT DATES: - Submissions of full-length chapters: 31st of October 2019 -- Dr. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.dehttp://www.pablobarros.nethttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.htmlhttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Wed Sep 4 07:55:29 2019 From: irina.illina at loria.fr (Irina Illina) Date: Wed, 4 Sep 2019 13:55:29 +0200 (CEST) Subject: Connectionists: Fwd: Post-doc position: Pattern mining for Neural Networks debugging: application to speech recognition (INRIA, France) In-Reply-To: <1899888542.35218778.1567013204642.JavaMail.zimbra@loria.fr> References: <1899888542.35218778.1567013204642.JavaMail.zimbra@loria.fr> Message-ID: <862627139.38615806.1567598129324.JavaMail.zimbra@loria.fr> > De: "Irina Illina" > ?: "connectionists" , "connectionists" > , "parole" > Envoy?: Mercredi 28 Ao?t 2019 19:26:44 > Objet: Post-doc position: Pattern mining for Neural Networks debugging: > application to speech recognition (INRIA, France) > Post-doc position: Pattern mining for Neural Networks debugging: application to > speech recognition > Advisors : Elisa Fromont & Alexandre Termier, IRISA/INRIA RBA ? Lacodam team > (Rennes) > Irina Illina & Emmanuel Vincent, LORIA/INRIA ? Multispeech team (Nancy) > firstname.lastname at inria.fr > Location : INRIA RBA, team Lacodam (Rennes) > Keywords: discriminative pattern mining , neural networks analysis, > explainability of black > box models, speech recognition. > Deadline to apply : September 30th, 2019 > Context: > Understanding the inner working of deep neural networks (DNN) has attracted a > lot of attention in the past years [1, 2] and most problems were detected and > analyzed using visualization techniques [3, 4]. Those techniques help to > understand what an individual neuron or a layer of neurons are computing. We > would like to go beyond this by focusing on groups of neurons which are > commonly highly activated when a network is making wrong predictions on a set > of examples. In the same line as [1], where the authors theoretically link how > a training example affects the predictions for a test example using the so > called ?influence functions?, we would like to design a tool to ?debug? neural > networks by identifying, using symbolic data mining methods, (connected) parts > of the neural network architecture associated with erroneous or uncertain > outputs. > In the context of speech recognition, this is especially important. A speech > recognition system contains two main parts: an acoustic model and a language > model. Nowadays models are trained with deep neural networks-based algorithms > (DNN) and use very large learning corpora to train an important number of DNN > hyperparameters. There are many works to automatically tune these > hyperparameters. However, this induces a huge computational cost, and does not > empower the human designers. It would be much more efficient to provide human > designers with understandable clues about the reasons for the bad performance > of the system, in order to benefit from their creativity to quickly reach more > promising regions of the hyperparameter search space. > Description of the position: > This position is funded in the context of the HyAIAI ?Hybrid Approaches for > Interpretable AI? INRIA project lab ( [ > https://www.inria.fr/en/research/researchteams/inria-project-labs | > https://www.inria.fr/en/research/researchteams/inria-project-labs ] ). With > this position, we would like to go beyond the current common visualization > techniques that help to understand what an individual neuron or a layer of > neurons is computing, by focusing on groups of neurons that are commonly highly > activated when a network is making wrong predictions on a set of examples. > Tools such as activation maximization [8] can be used to identify such neurons. > We propose to use discriminative pattern mining , and, to begin with, the > DiffNorm algorithm [6] in conjunction with the LCM one [7] to identify the > discriminative activation patterns among the identified neurons. > The data will be provided by the MULTISPEECH team and will consist of two deep > architectures as representatives of acoustic and language models [9, 10]. > Furthermore, the training data will be provided, where the model parameters > ultimately derive from. We will also extend our results by performing > experiments with supervised and unsupervised learning to compare the features > learned by these networks and to perform qualitative comparisons of the > solutions learned by various deep architectures. Identifying ?faulty? groups of > neurons could lead to the decomposition of the DL network into ?blocks? > encompassing several layers. ?Faulty? blocks may be the first to be modified in > the search for a better design. > The recruited person will benefit from the expertise of the LACODAM team in > pattern mining and deep learning ( [ https://team.inria.fr/lacodam/ | > https://team.inria.fr/lacodam/ ] ) and of the expertise of the MULTISPEECH team > ( [ https://team.inria.fr/multispeech/ | https://team.inria.fr/multispeech/ ] ) > in speech analysis, language processing and deep learning. We would ideally > like to recruit a 1 year (with possibly one additional year) post-doc with the > following preferred skills: > ? Some knowledge (interest) about speech recognition > ? Knowledgeable in pattern mining (discriminative pattern mining is a plus) > ? Knowledgeable in machine learning in general and deep learning particular > ? Good programming skills in Python (for Keras and/or Tensor Flow) > ? Very good English (understanding and writing) > See the INRIA web site for the post-doc page. > The candidates should send a CV, 2 names of referees and a cover letter to the > four researchers ( firstname.lastname at inria.fr ) mentioned above. Please > indicate if you are applying for the post-doc or the PhD position. The selected > candidates will be interviewed in September for an expected start in > October-November 2019. > Bibliography: > [1] Pang Wei Koh, Percy Liang: Understanding Black-box Predictions via Influence > Functions. ICML 2017: pp 1885-1894 (best paper). > [2] Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals: > Understanding deep learning requires rethinking generalization. ICLR 2017. > [3] Anh Mai Nguyen, Jason Yosinski, Jeff Clune: Deep neural networks are easily > fooled: High confidence predictions for unrecognizable images. CVPR 2015: pp > 427-436. > [4] Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru > Erhan, Ian Goodfellow, Rob Fergus: Intriguing properties of neural networks. > ICLR 2014. > [5] Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi: > Deep Text Classification Can be Fooled. IJCAI 2018: pp 4208-4215. > [6] Kailash Budhathoki and Jilles Vreeken. The difference and the > norm?characterising similarities and differences between databases. In Joint > European Conference on Machine Learning and Knowledge Discovery in Databases, > pages 206?223. Springer, 2015. > [7] Takeaki Uno, Tatsuya Asai, Yuzo Uchida, and Hiroki Arimura. Lcm: An > efficient algorithm for enumerating frequent closed item sets. In Fimi, volume > 90. Citeseer, 2003. > -- > Irina Illina > Associate Professor > Lorraine University > LORIA-INRIA > Multispeech Team > office C147 > Building C > 615 rue du Jardin Botanique > 54600 Villers-les-Nancy Cedex > Tel:+ 33 3 54 95 84 90 -- Irina Illina Associate Professor Lorraine University LORIA-INRIA Multispeech Team office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From asja.fischer at rub.de Wed Sep 4 10:50:45 2019 From: asja.fischer at rub.de (Asja Fischer) Date: Wed, 4 Sep 2019 16:50:45 +0200 Subject: Connectionists: ICLR 2020: Call for Workshop Proposals Message-ID: Call for workshops: https://iclr.cc/Conferences/2020/CallForWorkshops Submission site: https://cmt3.research.microsoft.com/ICLR2020/ Workshop Chairs: Asja Fischer and Gabriel Synnaeve Contact: asja.fischer at rub.de and gab at fb.com Key Dates: - Workshop Application Opens Sep 04, 2019 - Workshop Application Deadline: Oct 25, 2019 - Workshop Notification: Nov 27, 2019 - Mandatory Cutoff for Workshop Organizers to Notify Participants of Accept/Reject Decisions: Feb 25, 2020 - Workshops: April 26, 2020, Addis Ababa, Ethiopia The full call for workshop is copied below: ================================================= ## Overview This is the second year that ICLR will have workshops - informal gatherings of people with similar interests, potentially with keynotes, panels, and debates, allowing for discussion of work in progress and future directions, and community building. Workshops will take place on Sunday, April 26th. Each workshop proposal should specify a full day schedule, accommodating lunch and/or coffee breaks as appropriate. The exact format of a workshop is up to your choice, we welcome creative formats. We expect to have approximatively 15 workshops. Each accepted workshop will receive four (4) complimentary registrations for organizers to distribute. ## Topics We are especially interested in organizers proposing novel topics on emerging themes. Examples of such topics include, but are not limited to: - Interpretable machine learning, fairness in machine learning, transparency, governance and inclusion - Uncertainty in representation learning - Cognitive and sensori-motor extensions of human capabilities - Deep learning / representations learning for scientific discovery - Deep learning / representations learning for art and creativity - Learning algorithms, program synthesis - Privacy in machine learning - Energy efficiency in machine learning - Representation learning for planning and reinforcement learning - Metric learning and kernel learning - Sparse coding and dimensionality expansion - Hierarchical models - Optimization for representation learning - Learning representations of outputs or states - Implementation issues, parallelization, software platforms, hardware, ML systems - Applications in vision, audio, speech, natural language processing, robotics, neuroscience, healthcare, or any other field For more examples, last year ICLR workshops were: - Learning from Limited Labeled Data (LLD) Workshop: Representation Learning for Weak Supervision and Beyond - Deep Reinforcement Learning Meets Structured Prediction - Deep Generative Models for Highly Structured Data - Debugging Machine Learning Models - Structure & Priors in Reinforcement Learning (SPiRL) - AI for Social Good - Safe Machine Learning: Specification, Robustness, and Assurance - Representation Learning on Graphs and Manifolds - Reproducibility in Machine Learning - Task-Agnostic Reinforcement Learning (TARL) ## Highlighted Topics: AI for Social Good This year, we especially encourage workshops pertaining to ?AI for Social Good?, which topics include, but are not limited to: - Healthcare - Education - Agriculture - Energy - Pollution - Meteorology, Natural disasters - Climate change - Wildlife, Biodiversity - Policy Making ## Selection Criteria Regarding selection criteria, we took inspiration from the findings of NeurIPS?s workshop organizers, and last year's ICLR workshop organization. 1. Topicality: degree to which the proposal is focused on an important and topical problem, and the degree to which it is expected that the community will find the workshop interesting, exciting, and valuable. 2. Intellectual excitement of the topic. Is it likely to break new ground, or merely reiterate tired, old debates? 3. Diversity and inclusion, in all forms. 4. Room for discussion: degree to which the proposed program offers opportunity for discussion. 5. Line-up: quality of proposed invited speakers (including scientific pedigree and presentational ability). Workshop organizers are encouraged to confirm tentative interest from proposed invited speakers and mention this in their proposal. 6. Accessibility: degree to which the organizers have offered means to engage in the workshop for those unable to attend in person. 7. Organizational experience and ability of the team. ## Workshop Requirements 1. Global Notification Deadline Prior to 25th of February 2020: By submitting a workshop proposal, workshop organizers commit to notifying those who submit contributions (including talks and posters) to their workshop of their acceptance status before February 25, 2020 to allow time for visa acquisition and travel arrangements. A timeline should be included in the proposal that will allow for this. 2. Managing Chair and Reviewer Conflicts of Interest - Workshop chairs (Asja Fischer and Gabriel Synnaeve) cannot be organizers or give invited talks at any workshop, but can submit papers and give contributed talks. - Workshop reviewers cannot review any proposal on which they are listed as an organizer or invited speaker, and may not accept invitations to speak at any workshop they have reviewed after the workshop is accepted. - Workshop chairs and reviewers cannot review or shape acceptance decisions about workshops with organizers from within their organization. (For large corporations, this means anyone in the corporation world-wide.) 3. Managing Organizer Conflicts of Interest - Workshop organizers cannot give talks at the workshops they organize. They can give a brief introduction to the workshop and/or act as a panel moderator. - Workshop organizers should state in their proposal how they will manage conflicts of interest in assessing submitted contributions. At a minimum, an organizer should not be involved in the assessment of a submission from someone within the same organization. 4. During the reviewing process, workshop chairs may propose to merge with another proposal if both workshop proposals are exactly on the same topic. The eventual merge would be at the discretion of both sets of organizers. ### Proposal Organizers should submit proposals as a single PDF file. We suggest the following headings for your proposal, although a proposal can come in any format that allows the evaluation criteria to be assessed. We expect most proposals to be around 3 pages. Suggested headings: - Title: Keep the workshop title short and descriptive. - Organizers and biographies: Include short biographies that highlight both organizational experience and technical expertise. - Workshop summary: 2-3 paragraphs summarizing the workshop topic, including the problems you would like to see solved, why these problems are important, and how the workshop will contribute to their solution. - Tentative schedule: Include a list of tentative/confirmed speakers with a brief description of each (clearly stating which have confirmed). Explain how you will encourage discussion throughout the day. - Diversity commitment: Give an explicit statement on how the workshop will address diversity of all forms, as described in the guidance above. - Access: Describe anything you plan to do to allow those unable to attend in person to engage, as described in the guidance above. - Previous related workshops (if any): List related past workshops at NeurIPS, ICML, ICLR or other venues, and note if the workshop was previously submitted to NeurIPS 2019. - Plan for funding (if any): List proposed or committed sponsorships and planned usage of funds. List any need for funding that you think you would have but is not met yet. - Any other relevant information ### Submission Workshop proposals should be submitted before the 25th of October through this site: https://cmt3.research.microsoft.com/ICLR2020/ ================================================= Asja and Gabriel -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.goodhill at uq.edu.au Wed Sep 4 23:19:53 2019 From: g.goodhill at uq.edu.au (Geoffrey Goodhill) Date: Thu, 5 Sep 2019 03:19:53 +0000 Subject: Connectionists: SCiNDU 2020 Conference Announcement Message-ID: <7B5968CB-04BF-4740-AF9B-8649F9082B63@uq.edu.au> 3rd SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWNUNDER (SCiNDU) CONFERENCE January 29-31, 2020 Queensland Brain Institute, University of Queensland, Brisbane, Australia http://www.qbi.uq.edu.au/scindu Confirmed speakers: Matilde Balbi (University of British Columbia / University of Queensland) Tony Burkitt (Melbourne University) Gwyneth Card (Janelia) Kai-Hsiang Chuang (University of Queensland) Barry Dickson (Janelia / University of Queensland) Alex Fornito (Monash University) Vinod Menon (Stanford University) Lucy Palmer (Florey Institute) Nicholas Price (Monash University) Linda Richards (University of Queensland) Tatyana Sharpee (Salk Institute) Bruno van Swinderen (University of Queensland) Stephen Williams (University of Queensland) Poster abstract deadline Nov 15th 2019. Some posters will be selected for oral presentations. For registration, accommodation and abstract submission information please see http://www.qbi.uq.edu.au/scindu Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill at uq.edu.au http://www.qbi.uq.edu.au/professor-geoffrey-goodhill -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Wed Sep 4 13:21:56 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Wed, 4 Sep 2019 13:21:56 -0400 Subject: Connectionists: NEURAL NETWORKS, Sept. 2019 Message-ID: Neural Networks - Volume 117, September 2019 http://www.journals.elsevier.com/neural-networks Deep neural network concepts for background subtraction:A systematic review and comparative evaluation Thierry Bouwmans, Sajid Javed, Maryam Sultana, Soon Ki Jung Understanding autoencoders with information theoretic concepts Shujian Yu, Jose C. Principe A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion Lin Xiao, Yongsheng Zhang, Jianhua Dai, Ke Chen, ... Jichun Li Closed-loop control of nonlinear neural networks: The estimate of control time and energy cost Chongyang Chen, Song Zhu, Yongchang Wei Learning, planning, and control in a monolithic neural event inference architecture Martin V. Butz, David Bilkey, Dania Humaidan, Alistair Knott, Sebastian Otte A neural network architecture for learning word???referent associations in multiple contexts Hansenclever F. Bassani, Aluizio F.R. Araujo Approximate neural optimal control with reinforcement learning for a torsional pendulum device Ding Wang, Junfei Qiao Novel bifurcation results for a delayed fractional-order quaternion-valued neural network Chengdai Huang, Xiaobing Nie, Xuan Zhao, Qiankun Song, ... Jinde Cao Dynamic mode decomposition in vector-valued reproducing kernel Hilbert spaces for extracting dynamical structure among observables Keisuke Fujii, Yoshinobu Kawahara Unsupervised feature selection via latent representation learning and manifold regularization Chang Tang, Meiru Bian, Xinwang Liu, Miaomiao Li, ... Hailin Yin Robust auto-weighted projective low-rank and sparse recovery for visual representation Lei Wang, Bangjun Wang, Zhao Zhang, Qiaolin Ye, ... Meng Wang Time series classification with Echo Memory Networks Qianli Ma, Wanqing Zhuang, Lifeng Shen, Garrison W. Cottrell Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, ... Wei Zhou Locally linear SVMs based on boundary anchor points encoding Baile Xu, Shaofeng Shen, Furao Shen, Jian Zhao Time series trend detection and forecasting using complex network topology analysis Leandro Anghinoni, Liang Zhao, Donghong Ji, Heng Pan Observer-based sliding mode control for synchronization of delayed chaotic neural networks with unknown disturbance Yongshun Zhao, Xiaodi Li, Peiyong Duan Synchronization of impulsive coupled complex-valued neural networks with delay: The matrix measure method Lulu Li, Xiaohong Shi, Jinling Liang Delay-dependent stability analysis of the QUAD vector field fractional order quaternion-valued memristive uncertain neutral type leaky integrator echo state neural networks Seyed Mehdi Abedi Pahnehkolaei, Alireza Alfi, J.A. Tenreiro Machado Cost-effective stochastic MAC circuits for deep neural networks Hyeonuk Sim, Jongeun Lee Robust manifold broad learning system for large-scale noisy chaotic time series prediction: A perturbation perspective Shoubo Feng, Weijie Ren, Min Han, Yen Wei Chen An approximation algorithm for graph partitioning via deterministic annealing neural network Zhengtian Wu, Hamid Reza Karimi, Chuangyin Dang Switching event-triggered control for global stabilization of delayed memristive neural networks: An exponential attenuation scheme Yingjie Fan, Xia Huang, Hao Shen, Jinde Cao From ted.carnevale at yale.edu Thu Sep 5 02:10:20 2019 From: ted.carnevale at yale.edu (Carnevale, Nicholas) Date: Thu, 5 Sep 2019 06:10:20 +0000 Subject: Connectionists: Big models and big data workshop at SFN 2019 Message-ID: <0f9499a5-cfa5-190e-d4b2-75cf2eeff3e0@yale.edu> *NSG and HPAC ? Large Scale Simulations and Data Processing* **** **A workshop on big models and big data in neuroscience, Saturday, Oct. 19, 2019 from 8:30 AM to 12:30 PM at a downtown Chicago location. *Summary* This workshop is intended for neuroscientists who need to use high performance computing (HPC) resources for computationally intensive tasks such as large modeling projects or analysis of neuroimaging data. It will examine resources offered by the Neuroscience Gateway Portal (NSG https://www.nsgportal.org/) and The Human Brain Project's High Performance Analytics and Computing Platform (HPAC https://hbp-hpc-platform.fz-juelich.de/). The workshop will combine hands-on instruction on how to use NSG, didactic presentations by NSG and HPAC developers, and discussions with experienced users of these resources. The registration deadline for this workshop is Friday, October 10, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/nsg2019/nsg2019.html for more information and a link to the registration form. *Overview of NSG and HPAC* NSG eliminates most administrative and technical barriers, providing free CPU time to users, and easy access to widely used software that currently includes BluePyOpt, The Brain Modeling Toolkit (BMTK), Brian, CARLsim, DynaSim, EEGLAB, Freesurfer, Human Neocortical Neurosolver (HNN), Large Scale Neural Modeling Simulator (LSNM), MATLAB, MOOSE, NEST, NetPyNE, NEURON, Octave, PGENESIS, PyNN, Python, R, TensorFlow, and the Virtual Personalized Multimodal Connection Pipeline. NSG's web-based interface simplifies the tasks of uploading models or data, specifying job parameters, monitoring job status, and storing and retrieving output data. HPAC provides extensive HPC support for the HBP community. This includes developing and providing the hardware and software infrastructure required for large scale simulations, data management and analysis, visualization, and managing the complex workflows involved in performing these tasks. From sara.zannone at gmail.com Thu Sep 5 11:48:04 2019 From: sara.zannone at gmail.com (Sara Zannone) Date: Thu, 5 Sep 2019 16:48:04 +0100 Subject: Connectionists: Deadline extended - Call for Papers: NeurIPS2019 Workshop on Biological and Artificial Reinforcement Learning In-Reply-To: References: Message-ID: Call for Papers NeurIPS2019 Workshop - deadline extended Biological and Artificial Reinforcement Learning Workshop website: https://sites.google.com/view/biologicalandartificialrl *Submission deadline: September 10, 11:59 PM Pacific Time, 2019* Contact: BiologicalArtificialRL at gmail.com We invite you to submit papers (up to 5 pages, excluding references and appendix) in the NeurIPS 2019 format. The focus of the work should relate to biological and/or artificial reinforcement learning. Potential topics include but are not limited to: - Benchmark tasks that can compare/contrast capabilities of artificial vs biological agents - Hierarchical RL/ skill learning - Inductive biases and priors - Representations for RL - Model-based/ Model-free learning - Lifelong learning - Intrinsic motivation/ learning in absence of extrinsic rewards - Role of memory in learning In line with the guidelines defined by the NeurIPS organising committee, we can only accept original work that is not published in the main NeurIPS conference. However, we welcome published work from other non-machine learning focused venues, particularly work that has previously appeared in Neuroscience or Cognitive Science venues such as Cosyne, RLDM, CogSci and CCN. Submission link: https://cmt3.research.microsoft.com/NeurIPSWSBARL2019/ For any enquiries please reach out to us at BiologicalArtificalRL at gmail.com . On behalf of the organizers, Raymond Chua, Feryal Behbahani, Sara Zannone, Rui Ponte Costa, Claudia Clopath, Blake Richards, Doina Precup -------------- next part -------------- An HTML attachment was scrubbed... URL: From falk.lieder at gmail.com Thu Sep 5 12:50:13 2019 From: falk.lieder at gmail.com (Falk Lieder) Date: Thu, 5 Sep 2019 18:50:13 +0200 Subject: Connectionists: Fwd: PhD Student Position on Leveraging Machine Learning to Improve Human Decision Making In-Reply-To: References: Message-ID: The Max Planck Research Group for Rationality Enhancement ( https://re.is.tuebingen.mpg.de), headed by Dr. Falk Lieder at the Max Planck Institute for Intelligent Systems in Tuebingen, Germany, is looking for a Ph.D. student (m/f/d) for a project on *leveraging machine learning and artificial intelligence to improve human decision making*. The ability to make good decisions is an essential life skill. But making good decisions is also really hard and good decision strategies are hard to find. In this project we leverage state-of-the-art methods from machine learning and artificial intelligence to develop *intelligent systems that can discover and teach the optimal decision strategies* for different types of human decisions, such as deciding what to work on, planning a project, and managing one?s time. You will model the problem of deciding how to decide in terms of rational meta-reasoning, combine deep reinforcement learning and Bayesian program induction methods to discover optimal decision strategies, build intelligent tutors that teach those strategies, and conduct behavioral experiments to evaluate their efficacy at improving people?s decision-making skills. You will be supported by an interdisciplinary team of researchers and research assistants. The project builds on our previous work on strategy discovery, meta-level reinforcement learning, and intelligent tutors, and can rely on our infrastructure for conducting behavioral experiments. *The position * The PhD student (m/f/d) will receive a PhD funding contract equivalent in remuneration to pay group E13, 65% of the Collective Wage Agreement for the Public Service. The successful applicant (m/f/d) should hold a M.Sc. degree in computer science or a related discipline (e.g., AI, machine learning, computational linguistics, statistics, or cognitive science) and have strong programming skills, and a solid background in machine learning, computational linguistics, artificial intelligence, or computational cognitive science. Experience with some of the following is a plus but not required: reinforcement learning, deep learning, deep reinforcement learning, Bayesian inference, program induction, human decision-making, web development, behavioral experiments. We would like to start this project as soon as possible but the starting date is negotiable. The successful applicant will be encouraged to join the International Max Planck Research School for Intelligent Systems. *The Max Planck Institute for Intelligent Systems* *in T?bingen* The Max Planck Research Group for Rationality Enhancement is part of the MPI for Intelligent Systems in Tuebingen, Germany. The institute is a world-class center for foundational research in machine learning and related areas. This position is also part of the Cyber Valley. The majority of the institute?s scientific employees come from outside of Germany. You will work among gifted students and experienced scientists from all over the world; and have access to excellent infrastructure, including several regular series of tutorials, lectures, journal clubs and invited talks by international guests, as well as a large computer cluster, and dedicated full-time specialists. The working language at the institute is English. T?bingen is a scenic medieval university town, cradled in what is simultaneously one of Germany?s most beautiful landscapes one of Europe?s most economically successful areas. Stuttgart airport is an hour by bus, Frankfurt airport can be reached in two hours by train. Most locals speak English and knowledge of German is not required to live here. *How to apply* To apply, please email a cover letter, your CV, transcripts, your theses and/or publications to re-jobs at tuebingen.mpg.de and arrange for at least two letters of reference to be emailed to the same address. If you have any questions about the project, our research group, or anything else, please do not hesitate to contact Dr. Lieder at falk.lieder at tuebingen.mpg.de. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck Society strives for gender equality and diversity. It seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. ? Falk Lieder, Ph.D. Max Planck Research Group Leader for Rationality Enhancement MPI for Intelligent Systems, T?bingen, Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Inel at tudelft.nl Fri Sep 6 09:47:20 2019 From: O.Inel at tudelft.nl (Oana Inel) Date: Fri, 6 Sep 2019 13:47:20 +0000 Subject: Connectionists: ACM IUI 2020 - CALL FOR WORKSHOP AND TUTORIAL PROPOSALS - EXTENDED DEADLINE: September 15th Message-ID: <95556_1567777652_x86DlS9c096240_66B80D28-7889-4CC7-9192-DECD16C2D63C@tudelft.nl> *Apologies if you receive multiple copies of this message* ACM IUI 2020 - CALL FOR WORKSHOP AND TUTORIAL PROPOSALS **Deadline Extended to SEPTEMBER 15th** In conjunction with the 25th International Conference on Intelligent User Interfaces (IUI 2020) Cagliari, Italy March 17, 2020 https://iui.acm.org/2020/ WORKSHOP CO-CHAIRS Casey Dugan, IBM Research Carmen Santoro, CNR-ISTI, HIIS Laboratory Simone Stumpf, City, University of London workshops2020 at iui.acm.org CALL FOR PROPOSALS We are pleased to invite proposals for workshops and tutorials to be held in conjunction with the conference. The goal of the workshops is to provide a venue for presenting research on focused topics of interest and an informal forum to discuss research questions and challenges. Tutorials are designed to provide fundamental knowledge and experience on topics related to intelligent user interfaces, and the intersection between Human-Computer Interaction (HCI) and Artificial Intelligence (AI). Note: We encourage you to contact the chairs with your ideas (workshops2020 at iui.acm.org), and work together to prepare an exciting proposal. We encourage proposals for a wide range of workshops and tutorials, including but not limited to: - "Mini-conferences" on specialized topics; such workshops may have their own paper submission and review processes. - "Late breaking work" meetings; such workshops usually have a lighter review process (e.g. based on abstracts only). - "Hands-on" workshops around a specific problem or topic that may wish to ask participants to submit a position statement. - "Project centric" workshops that may be closely related to the scope of an existing large scale (e.g. NSF, EU, etc. funded) project. - "Mini-competitions", challenges, or hackathons around selected topics with individual or team participation. - Tutorials on a specific topic relevant to IUI; for example, methods and approaches in HCI and/or AI, specific techniques or algorithms to develop intelligent user interfaces, etc. Workshops and tutorials will be held on the first day of the conference. We invite submissions of proposals for full-day (6 hours) and half-day (3 hours) workshop or tutorial. Proposals will be reviewed and evaluated by the workshop and tutorials chairs. Workshops with few submissions by Friday, 20 December 2019 may be cancelled, shortened, merged with other workshops, or otherwise restructured. The organizers of accepted workshops and tutorials are responsible for producing a call for participation and publicizing it, such as distributing the call to relevant newsgroups and electronic mailing lists, and especially to potential audiences from outside the IUI conference community. Workshop and tutorial organizers will maintain their own website with information about the workshop or tutorial and the IUI 2020 web site will refer to the this website. The workshop organizers will coordinate the paper solicitation, collection, and review process. A workshop and tutorials summary will be included in the ACM Digital Library for IUI 2020, however, there will be no archived published proceedings of workshop papers this year. We strongly encourage workshop organizers to arrange a volume of online proceedings for their workshop papers themselves, for example, by using www.ceur-ws.org. PROPOSAL FORMAT Workshop or tutorial proposals should be maximum 2 pages long and follow the formatting instructions at https://www.acm.org/publications/proceedings-template. Please either use the Word interim template with Libertine fonts downloaded and embedded, or the LaTex sigconf template. The proposals should be organized as follows: - Name and title: A one-word acronym and a full title. Please indicate ?(Workshop)? or ?(Tutorial)? after the title, as appropriate. - Description of workshop or tutorial topic: This description should discuss the relevance of the suggested topic to IUI and its interest for the IUI2020 audience. Include a brief discussion of why and for which audience the workshop or tutorial is of particular interest. - Previous history: List of previous workshops or tutorials that were held on the topic including the conferences that hosted past workshops or tutorials and the number of participants. - Organizer(s): Names, affiliations, emails, and web pages of the organizer(s). Provide a brief description of the background of the organiser(s). Strong proposals normally include organizers who bring differing perspectives on the topic and are actively connected to the communities of potential participants. Please indicate the primary contact person and the organizers who plan to attend the workshop. Also please provide a list of other workshops or tutorials organized by workshop organizers in the past. - Workshop program committee: Names and affiliation of the members of the (tentative) workshop program committee that will evaluate the workshop submissions. - Participants: A statement saying how many participants you expect and how you plan to invite participants for the workshop or tutorial. If possible, include the names of at least 10 people who have expressed interest to participate in the workshop or tutorial. - Workshop or Tutorial format: A brief description of the format regarding the mix of events or activities, such as paper presentations, invited talks, panels, demonstrations, teaching activities, hands-on practical exercises, general discussion. Please also list here any material you will make available to tutorial participants, e.g. slides, access to hardware/software, handouts, etc. - Planned outcomes of the workshop or tutorials: What are you hoping to achieve by the end of the workshop or tutorials. Please list here any planned publications or other outputs arising workshops, including your plans for making workshop papers available. - Length: Full-day or half-day. Please submit your proposal via https://new.precisionconference.com/ selecting the IUI 2020 Workshops and Tutorials track. IMPORTANT DATES Discuss your topic with the workshop and tutorials chairs: ASAP (workshops2020 at iui.acm.org) Proposals due: Sunday, 15 September 2019 (extended deadline) Decisions Sent: Monday, 14 October 2019 ** TENTATIVE dates of the review cycle ** Workshop Submissions:Tuesday, 17 December 2019 Go/No-go Decision on Workshops: Friday, 20 December 2019 Notifications to authors: Tuesday, 14 January 2020 Camera-ready for Workshop/Tutorial summary: Friday, 17 January 2020 Workshops/Tutorials held: Tuesday, 17 March 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Fri Sep 6 09:12:45 2019 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Fri, 6 Sep 2019 13:12:45 +0000 Subject: Connectionists: [jobs] Assoc. Prof. in Machine Learning (permanent) in Robotics and Intelligent Systems, Univ. of Oslo, Norway Message-ID: [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to potential candidates who might be interested.] Associate Professor in Machine Learning ? two permanent positions in Department of Informatics, University of Oslo, Norway The position(s) can be affiliated to the Robotics and Intelligent Systems (ROBIN) group at the University of Oslo, Norway (http://www.mn.uio.no/ifi/english/research/groups/robin ). The department seeks potential scientific leaders with clear research visions, educational and administrative skills and abilities to establish and lead research projects, who will strengthen our research and education. We expect candidates to show a strong record of conducting research in machine learning, in terms of both research experience and teaching qualifications. Candidates with a background in machine learning related to embedded systems (both custom built and smartphones) and robotics (commercial and custom built with 3D-printing and milling machines) are encouraged to apply and propose to be affiliated with the ROBIN research group. We work with a set of different methods within machine learning and artificial intelligence, including deep learning, evolutionary algorithms, evolutionary robotics, swarm intelligence and more. Please see our web page for more information about our projects and research. Qualifications: Applicants must have a PhD or other corresponding education equivalent to a Norwegian doctoral degree in computer science including machine learning/artificial intelligence. Thus, applicants should have a strong background in programming and machine learning/artificial intelligence. A strong record of publications relevant to the area is required. Candidates must have international publications in acknowledged publication channels. In the assessment of publications, originality, quality and scope will be emphasized. Candidates must have teaching experience in machine learning and have a commitment to engage in undergraduate and graduate education and in mentoring and advising master and doctoral students. See the full announcement for more requirements. Pay grade (depending on qualifications and seniority): NOK 640 200 ? 741 300 per year, approx.: ?65,300 ? 75,600 / $73,500 ? 85,200 Full announcement: https://tinyurl.com/yyop7ebj Closing date for applications: 30th September, 2019 Applications are to be submitted through a web page and NOT by e-mail. Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From Robert.Mullins at cl.cam.ac.uk Fri Sep 6 09:50:55 2019 From: Robert.Mullins at cl.cam.ac.uk (Robert Mullins) Date: Fri, 6 Sep 2019 14:50:55 +0100 Subject: Connectionists: AICAS2020 - Call for Tutorial Proposals Message-ID: *AICAS 2020 - CALL FOR TUTORIAL PROPOSALS* 2nd IEEE Conf. on Artificial Intelligence Circuits and Systems 23th-25th March, 2020, Genova, Italy www.aicas2020.eu Deadline for proposals: November 10th, 2019 https://aicas2020.eu/submissions The objective of the AICAS 2020 Tutorial Program is to provide participants with an inspiring and informative selection of tutorials that reflect current topics in AI circuits and systems related research and development. Tutorials will cover a one to three-hour period with ten minutes at the end for questions. They will be held in the morning before the technical sessions. We encourage submissions of tutorial proposals on the topics including but not limited to: - Circuits and systems for AI - Deep learning/machine learning/AI algorithms - Tools/Platforms for AI - Architecture for AI computing - Edge and cloud AI computing platforms - Hardware accelerators - Neuromorphic processors and computing - Hardware/software co-design and design automation for AI systems - Advanced neural network design - Emerging applications: Deep learning for Internet-of-Things - Emerging applications of AI: Medical AI - Emerging applications of AI: Autonomous Vehicle - Emerging applications of AI: Smart Factory and Environment - Emerging applications of AI: Robotics Prospective organizers of tutorial program should submit proposals to the Tutorial Chair indicating: Title of the tutorial, Area of the tutorial (refer to the above topics), Presenter(s) and their CV, Target audience and prerequisite knowledge of audience, 300 words abstract (for inclusion on webpage and in registration materials), Full description (1-2 pages to be used for evaluation),Keywords, Detailed contact information of all presenters (and indication of the main contact person). Contact tutorial chair, email: tutorials at aicas2020.eu -------------- next part -------------- An HTML attachment was scrubbed... URL: From livia.predoiu at googlemail.com Fri Sep 6 11:42:18 2019 From: livia.predoiu at googlemail.com (Livia Predoiu) Date: Fri, 6 Sep 2019 17:42:18 +0200 Subject: Connectionists: Call for participation: BRAIN 2019 (Bolzano Rules and Artificial Intelligence Summit) Message-ID: Dear Colleagues, we invite you to attend the Bolzano Rules and Artificial Intelligence Summit (BRAIN 2019), which will be held in Bolzano, Italy, September 16-24. With its special focus theme on "Beneficial AI", BRAIN 2019 brings together RuleML+RR 2019, DecisionCAMP 2019, the Reasoning Web Summer School (RW 2019), and the Global Conference on Artificial Intelligence (GCAI 2019). See more information on all events on https://brain2019.inf.unibz.it/ =============== HIGHLIGHTS ============================== We will have four exciting joint keynotes: (https://brain2019.inf.unibz.it/?p=keynotes) * Marie-Laure Mugnier: Existential Rules: a Study Through Chase Termination, FO-Rewritability and Boundedness * Giuseppe De Giacomo: WhiteMech: White-Box Self-Programming Mechanisms * Mike Gualtieri: The Future of Enterprise AI and Digital Decisions * Marlon Dumas: Artificial Intelligence for Business Process Management: Status, Challenges, and Perspectives =============== REGISTRATION & SCHEDULES =============== * Registration: https://brain2019.inf.unibz.it/?p=registration * BRAIN 2019 schedules: RuleML-RR + GCAI + DecisionCAMP schedule: https://brain2019.inf.unibz.it/?p=schedule Reasoning Web Summer School schedule: https://rulemlrr19.inf.unibz.it/rw2019/?p=program =============== SOCIAL EVENTS ========================== There will be plenty of opportunities for interaction with high-profile researchers attending BRAIN 2019 via our many social events (see https://brain2019.inf.unibz.it/?p=social_events and https://rulemlrr19.inf.unibz.it/rw2019/?p=social_events for an overview) * RuleML Meet & Greet on Sunday, 15 Sep, 6PM-9PM, in the Restaurant Hopfen & Co (https://www.boznerbier.it), at Piazza Erbe 17 / Obstplatz 17 * BRAIN Welcome Reception on Monday, 16 Sep, 6:30PM, Maretsch Castle, Via Claudia-de-Medici 12 * BRAIN Social Dinner on Wednesday, 18 Sep, 7PM, Flavon Castle, Via Castle Flavon 48 * Reasoning Web Welcome Reception on Friday, 20 Sep, 6PM, Museion Cafe * Reasoning Web Excursion on Sunday, 22 Sep, 1PM, Kolping Haus * Reasoning Web Social Dinner on Sunday, 22 Sep, 7:30PM, Batzen Haeusel ============================== Website: https://brain2019.inf.unibz.it/ Twitter hashtag: #bzAI19 From bisant at umbc.edu Fri Sep 6 17:11:34 2019 From: bisant at umbc.edu (David B) Date: Fri, 6 Sep 2019 17:11:34 -0400 Subject: Connectionists: CFP: FLAIRS 2020, N Miami Beach, Neural Network and Data Mining Special Tracks Message-ID: CALL FOR PAPERS FLAIRS 2020, Florida Artificial Intelligence Research Symposium Special Tracks on Neural Networks and Data Mining North Miami Beach, FL https://www.flairs-33.info/ May 17 - 20, 2020 Paper submission deadline: November 18, 2019. Notifications: January 20, 2020. Camera ready version due: February 24, 2020. FLAIRS is a medium-sized interdisciplinary AI conference which especially encourages novel ideas. It features a strong international following, a double-blind review process, free tutorials, and a great venue. Neural Network Track: The special track will be devoted to Neural Networks with the aim of presenting new and important contributions in this area. The areas include, but are not limited to, the following: applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; algorithms such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic; pre- or post-processing techniques such as feature extraction; or any other area of Neural Network research which is related to artificial intelligence. Papers dealing with tool suites are also encouraged. Data Mining Track This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites are also encouraged. Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process). Submission Guidelines Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (or 4 pages for short paper, to be presented as a poster) and are due by November 18. FLAIRS uses a double blind reviewing process. Author names and affiliations should be X?d out on submitted papers. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (https://www.flairs-33.info/). Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate which special track they are submitting to. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper. From hava.siegelmann at gmail.com Sun Sep 8 18:47:45 2019 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Sun, 8 Sep 2019 18:47:45 -0400 Subject: Connectionists: A year job at DARPA? Message-ID: Hi Friends, Looking for a "visiting support person" to work with me at DARPA in the near future on topics of AI, ML, anti-deception programs, and more. This year can be highly exciting and very informative for future professors. -Hava -------------- next part -------------- An HTML attachment was scrubbed... URL: From pal.johan.from at nmbu.no Sun Sep 8 14:45:39 2019 From: pal.johan.from at nmbu.no (=?iso-8859-1?Q?P=E5l_Johan_From?=) Date: Sun, 8 Sep 2019 18:45:39 +0000 Subject: Connectionists: [jobs] Postdoctoral Fellow within Autonomous Navigation for Robots in Agriculture Message-ID: Postdoctoral Fellow within Autonomous Navigation for Robots in Agriculture The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant two-year position as Postdoctoral Fellow within autonomous navigation for robots in the agricultural domain. In order to exploit the great potential of robots in agriculture, these robots rely on accurate information on their own position and their surroundings. Precision operations such as harvesting and removal of weeds require the accuracy of navigation to be at the cm-level. Reliable estimates of navigation information with high accuracy is difficult with satellite-based systems alone, so one will have to rely on integrated solutions with information from many types of sensors such as e.g.: inertial sensors, cameras, laser scanners and ultra wideband radars. In addition, these robots need to be equipped with the sufficient level of autonomy to be able to operate safely and reliably in a complex and dynamic environment. Task allocation and scheduling tasks for one or multiple robots is an important research topic. The robots need to operate in areas where humans and animals have access, and therefore need to do this in a safe way. Main tasks The main task of the candidate will be to implement safe and robust autonomy in the agricultural environment, and in particular for robots that operate both in the indoor and outdoor domain. The main activities will be related to one or more of the following topics: Safe and robust navigation in the agricultural environment. This includes both indoor (without, or with poor GNSS coverage) and outdoor environments. Obstacle avoidance in a dynamic environment. Safety, in particular recognition of dangerous situations for the robot and its environment. Optimal trajectory planning. Human-robot interaction. Certification and proven robustness. System integration. The person appointed to the position will be expected to take an active part in the daily activities of the robotics group at REALTEK, including seminars, courses, etc. Required Academic qualifications * PhD in Engineering Cybernetics, Robotics, Control, or similar. * Proficiency in mathematical modeling, control and statistical methods. * Hands-on experience from implementing algorithms on real systems. Desired Academic qualifications * Experience with implementing Kalman filters, particle filters, or similar. * Experience with Robot design and prototyping. * Experience with Navigation algorithms such as waypoint navigation, SLAM, etc. * Experience from large research projects or industry. * Experience with Machine vision. * Excellent programming skills, ROS, C/C++, Python For more information, or to apply, please see https://www.jobbnorge.no/en/available-jobs/job/174712/postdoctoral-fellow-within-autonomous-navigation-for-robots-in-agriculture --- P?l Johan From, Ph.D. Professor Norwegian University of Life Sciences Faculty of Science and Technology [cid:833583F8-D3AC-4EEE-869A-3638B53186EC] tel: +47 67231603 cel: +47 90690932 e-mail: pafr at nmbu.no -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 10560 bytes Desc: image001.png URL: From hocine.cherifi at gmail.com Mon Sep 9 06:16:02 2019 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 9 Sep 2019 12:16:02 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2019 Lisbon Dec 10-12, 2019 One week left for Submission Message-ID: *Apologies for any cross posting* *Eighth** Int. Conference on Complex Networks & Their Applications* *Lisbon, Portugal Dec. 10- 12, 2019* http://www.complexnetworks.org *Speakers :* ? Lada Adamic Facebook, USA ? Reka Albert Penn State, USA ? Ulrik Brandes ETH Zurich, Switzerland ? Jari Saram?ki Aalto University, Finland ? Stefan Thurner Medical University of Vienna, Austria ? Michalis Vazirgiannis Ecole Polytechnique, France *Tutorials:* December 09, 2019 ? Diego Saez-Trumper Wikimedia Foundation ? Maria Angeles Serrano University of Barcelona, Spain Submission deadline: September 16, 2019 FIRM DEADLINE. *Full papers *and *Extended Abstracts* *are welcome.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions of accepted contributions will be invited for publication in *special issues of :* o Applied Network Science edited by Springer o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o Social Network Analysis and Mining edited by Springer - PLOS one *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Jos? Fernando Mendes (University of Aveiro, Portugal) Luis M. Rocha (Indiana University) *ADVISORY BOARD* Jon Crowcroft (University of Cambridge, UK) Raissa D'Souza (UC Davis, USA) Eugene Stanley (Boston University, USA) Ben Y. Zhao (University of Chicago, USA) *Join us at *: COMPLEX NETWORKS 2019, Lisbon, Portugal *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From nsmattei at gmail.com Mon Sep 9 12:47:29 2019 From: nsmattei at gmail.com (Nicholas Mattei) Date: Mon, 9 Sep 2019 11:47:29 -0500 Subject: Connectionists: Call for Papers: AAAI 2020 Demonstrations Track Message-ID: [Apologies for multiple postings] AAAI-20 Demonstrations Program The Thirty-Fourth AAAI Conference on Artificial Intelligence New York, New York, USA February 7-12, 2020 Paper Submission Site: https://easychair.org/my/conference?conf=aaai20programs Official AAAI 2020 Demos Website: https://aaai.org/Conferences/AAAI-20/aaai20demoscall/ Link to PDF of the Call: https://rebrand.ly/AAAI2020Demos Timetable for Authors * July 1, 2019 - September 20, 2019: Authors register on AAAI-20 submission site. * September 20, 2019: Full submissions (short paper and video) due. * October 25, 2019: Notifications sent to authors, accompanied by detailed reviews * November 21, 2019: Camera-ready copy due Call for Demonstrations The AAAI-20 Demonstrations Program is intended to foster discussion and exchange of ideas among researchers and practitioners from academia and industry by presenting software and hardware systems and research prototypes of such systems, including their capabilities and workings. Accepted demonstrations will be allocated one time slot of 1.5 or 2 hours during one of the main conference evening poster programs, and will have a short demo paper included in the proceedings. Topics of Interest The Demonstrations Program welcomes presentations of systems on all topics of mainstream AI (see the topic descriptions of the main AAAI and IAAI conference tracks). Promising topics include, but are not limited to, the following. * cognitive systems * decision making systems * educational software and hardware tools for AI * environment-aware agent behaviors * game playing programs * human-robot interaction * intelligent collaborative systems * intelligent control systems * intelligent graphical user interfaces * intelligent tutoring systems * intelligent devices and smart IoT * natural language processing * speech recognition * robots * interactive learning systems and UIs * web services The demonstrations must present new ideas, which are not already established in mainstream products or services. However, the demonstration need not be novel to the AAAI-20 demos program; it is all right if it has been showcased elsewhere in the recent past. Captivating demonstrations will be given an advantage in the review process. Submissions from everyone, including authors of papers submitted to AAAI, IAAI, and AAAI-20 workshops, are encouraged. Work submitted to other tracks can also be submitted to the Demonstrations Program in the format prescribed below, and it will be evaluated independently according to the Demonstrations review process. Author Registration Authors must register at the AAAI-20 submission site (available July 1) before submitting their expressions of interest. Authors should select "Demo Track." The software will assign a password, which will enable the author to log on and submit their work. Authors are strongly encouraged to register as soon as possible, well in advance of the September 20 deadline. * Registration will close at 11:59 PM PDT on September 20, 2019 * Final demo paper submission will close at 11:59 PM PDT on September 20, 2019 Submission and Review Process Authors are required to submit two items: (1) a 2-page short paper describing their system, formatted in AAAI two-column style, and (2) a video (of duration up to 10 minutes) of the proposed demonstration. A video consisting of slides is permitted in lieu of a demonstration that shows the proposed submission in a deployed or running state, but greater weight will be given to submissions accompanied by actual videos of the system or its demonstration plan. The paper must present the technical details of the demonstration, discuss related work, and describe the significance of the demonstration. The paper must contain unpublished work. If accepted, authors will be required to transfer copyright of their paper to AAAI. For more information on the AAAI style, please download the AAAI Press author kit. Final decisions will be accompanied by detailed reviews. Submissions will be judged for clarity, the significance of the proposed demonstration, and its relevance to the AI community. The Demonstrations Program Chairs reserve the right to reject submissions if the submissions are found to be irrelevant to or otherwise unqualified for this track. In accordance with past years at AAAI submissions may be either single blind (i.e., reviewers are blind) or double blind (i.e., authors and reviewers are blind). Submissions in either format are appropriate for the demos track. Demonstration participants are welcome to exhibit and distribute additional material, such as videos running on a dedicated console, scientific papers, pamphlets, and noncommercial brochures. Such ancillary materials need not be submitted for review. At least one member of every demonstration must register for and attend AAAI-20. The conference registrant will be responsible for building the exhibit at the demonstration venue. Award To foster the presentation of exciting demonstrations, AAAI-20 will present an award for the Best Demonstration. The award will be granted on the basis of audience evaluation through a ballot given to all attendees. More details on the Best Demo Award will be forthcoming after the review process. Services Researchers and practitioners showing a demonstration are required to bring all necessary equipment and material for the successful operation of their exhibit. AAAI will provide shipping instructions, if needed, for the delivery of material to the conference site. Each demo program participant will be provided with one 6-foot draped table, one monitor, and one poster board, as well as electrical and internet access. Special electrical connections must be arranged through the Demonstrations Program Chairs no later than 60 days prior to the start of the conference. Questions and Suggestions * Concerning author instructions and conference registration, write to aaai20 at aaai.org. * Concerning suggestions for the program and other inquiries about the Demos program specifically, write to the AAAI-20 Demonstrations Program Chairs below. Demonstrations Program Chairs Nicholas Mattei (Tulane University, USA) nsmattei at tulane.edu Kartik Talamadupula (IBM Research, USA) krtalamad at us.ibm.com -- *Nicholas Mattei* Assistant Professor, Tulane University nsmattei at tulane.edu | www.nickmattei.net Department of Computer Science Tulane University 6823 St Charles Ave New Orleans, LA 70118 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bei.xiao at gmail.com Mon Sep 9 16:49:23 2019 From: bei.xiao at gmail.com (bei.xiao at gmail.com) Date: Mon, 9 Sep 2019 16:49:23 -0400 Subject: Connectionists: Two Tenure-track/Open rank professorships in Computer Science at American University, DC Message-ID: Please contact Professor Nathalie Japkowicz at japkowic at american.edu for informal inquires. Link: https://apply.interfolio.com/67762 Position Announcement: Open Rank Department of Computer Science College of Arts and Sciences American University The Department of Computer Science in the College of Arts and Science at American University invites applications for two full-time, tenure-line positions beginning August 1, 2020. One of the positions is at the rank of Assistant or Associate Professor. The other position is at the rank of Associate or Full Professor. Applicants should have a PhD or an anticipated PhD completion by August 2020 in the field of Computer Science. Depending on qualifications, the appointee to this position may be recommended for tenure at the time of hiring. We are looking for candidates who are strongly committed to excellence in scholarly research, are effective teachers, and are excited at the prospect of joining a growing department where they will be able to make their mark and join a friendly, collegiate and highly accomplished team. Preference will be given to candidates with a record of high-quality scholarship. The committee will consider candidates in all areas of research with emphases on individuals engaged in large scale projects that make use of high performance computing tools and on individuals engaged in cybersecurity projects. Other areas of research of interest to the department include Natural Language Processing, Deep Learning, Database Management, and Networking. Excellent candidates in other research areas, especially with domains of applications compatible with those active at American University, will also be considered as we strongly welcome researchers who ignore traditional disciplinary boundaries. In addition to scholarship and teaching, responsibilities will include participation in department, school and university activities. Salary and benefits are competitive. Review of applications will begin by November 1. Please submit applications via Interfolio : http://apply.interfolio.com/67762 . Include a letter of application, curriculum vitae, three letters of recommendation, recent teaching evaluations (when possible), and copies of recent published papers or working papers. Please contact Professor Nathalie Japkowicz at japkowic at american.edu if you have any questions. American University is a private institution located in the nation?s capital within easy reach of the many centers of government, business, research, and the arts. For more information about American University, visit www.american.edu.The Department of Computer Science is a small but exciting department with a growing student population and strong research achievements. American University has specifically identified Computer Science as one of its targets for growth, with the goal of making it a premium research and teaching unit within the university. Computer Science also falls within several areas of strategic focus identified by the university president in her strategic plan, such as Data Science and Security. Along with the Department of Mathematics and Statistics, the Department of Physics, the Game Lab, and the Entrepreneurship and Innovation Incubator, the Department of Computer Science has moved into the brand new Don Myers Technology & Innovation Building. Computer Science currently offers an undergraduate and a Master?s program with four different tracks (Applied, Data Science, Game, and Cybersecurity). A combined Ph.D. program with the Mathematics and Statistics Department is being discussed. Learn more about the College of Arts and Sciences at http://www.american.edu/cas/ and about the department of Computer Science at http://www.american.edu/cas/cs/. American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual?s genetic information or any other bases under federal or local laws (collectively ?Protected Bases?) in its programs and activities. American University is a tobacco and smoke free campus. -- Bei Xiao, PhD Assistant Professor Computer Science & Center for Behavioral Neuroscience American University, Washington DC Homepage: https://sites.google.com/site/beixiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Mon Sep 9 14:33:23 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 9 Sep 2019 20:33:23 +0200 Subject: Connectionists: [cfp] Intelligent Data Analysis - call for ideas Message-ID: An HTML attachment was scrubbed... URL: From hiro at brain.riken.jp Mon Sep 9 21:55:46 2019 From: hiro at brain.riken.jp (hiroyuki nakahara) Date: Tue, 10 Sep 2019 10:55:46 +0900 Subject: Connectionists: OPEN FACULTY POSITIONS (Computational neuroscience), RIKEN Center for Brain Science Message-ID: <20190910105544.473B.25DAB7C8@brain.riken.jp> The RIKEN Center for Brain Science (CBS) was launched in April 2018 following the strong 20-year foundation of its predecessor, the Brain Science Institute (BSI). CBS aims to meet society?s ever-growing expectations for brain research. We are seeking outstanding computational neuroscientists for Team Leader positions (equivalent to U.S. Assistant or Associate Professors). Exceptional applications from internationally established neuroscientists may be considered for indefinite-term Team Leader positions (equivalent to U.S. Full Professors). If candidates have the potential to be outstanding computational researchers, they will be hired as independent Unit Leaders (equivalent to U.S. Assistant Professors), provided that you have a doctoral degree by the date of employment, even if you are still enrolled in a postgraduate doctoral program. Researchers who wish to convert their expertise from other fields (e.g. physics, mathematics, engineering, information science) to computational brain science are also eligible to apply. We will comprehensively evaluate the applicant's scientific achievements and research proposals, etc., and will hire any candidates who match the aims of CBS (please see CBS web page?https://cbs.riken.jp/en/). Since CBS also promotes experimental research, research proposals are expected to aim for collaborative projects in the near future. This is our second round of faculty recruitment at CBS, which follows the successful recruitment of several outstanding candidates as Team Leaders from Japan and abroad in the first round in 2018. [For details, see our home page? https://cbs.riken.jp/en/careers/20190902_w19120_pi_c.html ] Calls for Team Leader positions in other major topics at CBS are currently open to the public (please see https://cbs.riken.jp/career-general/). At RIKEN CBS, research leaders (team and unit leaders) have full intellectual independence, generous internal funds including a highly competitive start-up package and access to ample communal facilities in a collaborative environment. Successful candidates for the Team Leader positions must have demonstrated the ability to develop an original, independent and internationally competitive research program. Applications should be submitted by the end of November 2019. Applicants should specify Team leader or Unit Leader positions, should submit the electronic files of a cover letter with a brief summary of their research program and plan, curriculum vitae, list of research achievements and publications, list of acquired research funding, current research and achievements to date, future research plans, reprints of five major publications maximum, and the names and contact details (e-mail address) of three referees, through the application form. If possible, one of the three referees should be the current supervisor, and the letters should be signed and addressed to Dr. Hiroshi Matsumoto, President of RIKEN. All files and recommendation letters should be written in English. RIKEN CBS is located just outside of the international metropolis of Tokyo. English is the primary language used in activities at CBS, including seminars and administration. Institutional support is available to help non-Japanese speaking scientists, whom we particularly encourage to apply. RIKEN Center for Brain Science is an Equal Opportunity Employer. Women are strongly encouraged to apply. For further inquiries please contact the RIKEN CBS Search Committee. Email: cbs-search at ml.riken.jp Search Committee, RIKEN Center for Brain Science 2-1 Hirosawa, Wako, Saitama 351-0198, Japan Fax: +81-48-462-4914, *Applications are not accepted from this e-mail address. _______________________________________________ -- hiroyuki nakahara http://www.itn.brain.riken.jp From ted.carnevale at yale.edu Mon Sep 9 15:02:38 2019 From: ted.carnevale at yale.edu (Carnevale, Nicholas) Date: Mon, 9 Sep 2019 19:02:38 +0000 Subject: Connectionists: NEURON course at SFN 2019 meeting Message-ID: Space is still available for the NEURON course at this year's meeting of the Society for Neuroscience, but you'll have to act quickly because the registration deadline is Friday, October 4--less than a month from today. This one-day course is for you, whether you're a PI trying to decide whether to add computational modeling to your research program, a grad student or postdoc just getting started in modeling, or an established NEURON user who wants to find out what the latest advances are. It starts with a practical introduction that reviews basic concepts and presents a workflow for building and working with models of cells and networks, and moves on to topics that include using Python with NEURON, modeling reactive diffusion with the RxD class, and running simulations on parallel hardware from multicore Macs and PCs to massively parallel supercomputers. For more information and the registration form, see https://neuron.yale.edu/neuron/static/courses/chi2019/chi2019.html From dimitrije.markovic at tu-dresden.de Tue Sep 10 05:22:32 2019 From: dimitrije.markovic at tu-dresden.de (Dimitrije Markovic) Date: Tue, 10 Sep 2019 09:22:32 +0000 Subject: Connectionists: Reminder: Special Entropy Issue "Information Theory in Computational Neuroscience" Message-ID: <1568107352272.95539@tu-dresden.de> Dear Colleagues, You are cordially invited to submit a manuscript to Special Entropy Issue "Information Theory in Computational Neuroscience" https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscience Deadline for manuscript submissions: 31 January 2020 With best regards, Claudius Gros and Dimitrije Markovic Abstract ====== Brains empower living organisms with extraordinary information processing capabilities. Complex spatio-temporal dependencies present in their environments may be learned, long- and short-term memories of experiences and plans regarding the future. Importantly, information processing in the brain happens over multiple spatio-temporal scales, from single synapses and synaptic terminals to dendritic trees and neuronal bodies, all the way up to neuronal networks and large brain areas. Hence, it is not surprising that information theory has led to many exciting developments in computational neuroscience, providing tools essential for our modern understanding of the computational principles that govern the development, structure, physiology, and dynamics of the nervous system. In this Special Issue, we aim to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universit?t Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ ============================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From sbminna at gmail.com Tue Sep 10 05:16:07 2019 From: sbminna at gmail.com (Inna S) Date: Tue, 10 Sep 2019 12:16:07 +0300 Subject: Connectionists: Faculty positions at the Gonda Multidisciplinary Brain Research Center, Bar-Ilan University Message-ID: The Gonda Multidisciplinary Brain Research Center at Bar-Ilan University anticipates new tenure track positions (rank commensurate with qualifications and experience), starting in the academic years 2020-2021. We are looking for excellent early-stage scientists who aspire to establish innovative and interdisciplinary research programs in neuroscience. One position is open for a candidate particularly with a computational focus, including theoretical neuroscience and modelling. The second position is open for neuroscience research broadly defined, including systems and cognitive neuroscience, molecular neurobiology, and biological psychiatry. All applicants will be evaluated for merit. The appointments are subject to budgetary approval. The Gonda Multidisciplinary Brain Research Center at Bar-Ilan University brings together researchers from a variety of fields essential for understanding the brain, including life sciences, neurophysiology, psychology, linguistics, computer science, mathematics and physics. Research at the Center addresses the brain at all levels - from behavior and cognitive processing through neural circuits, all the way to molecular mechanisms, in health and in disease. Candidates are expected to have a doctorate and post-doctoral training in relevant fields, and to show an excellent track-record for their stage of career. Interested candidates should submit a letter of application, CV and a research statement. For more information, inquiries and applications, please contact Dr. Inna Sukhotinsky (Inna.Sukhotinsky at biu.ac.il). BIU is an equal opportunity employer and all qualified applicants will receive consideration for employment. *Submission deadline:* October 1, 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From annalisa.riccardi at strath.ac.uk Tue Sep 10 10:50:58 2019 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Tue, 10 Sep 2019 14:50:58 +0000 Subject: Connectionists: One week to submit the abstract for your talk to OSE5 (Workshop on Optimisation in Space Engineering) In-Reply-To: <5F981B7DF1B7214DB40BAA37423DD2B636E5D841@EX2010-MBX1.ds.strath.ac.uk> References: <5F981B7DF1B7214DB40BAA37423DD2B636E5D841@EX2010-MBX1.ds.strath.ac.uk> Message-ID: Dear Colleague, one week left to submit the abstract for your talk to the 5th Workshop on Optimisation in Space Engineering (OSE5). While no full paper is required to present at the workshop, a special issue has been organised on the Springer "Optimisation and Engineering" journal http://icelab.uk/ose5/ose5-special-issue/ The workshop will take place on 21-22 November 2019 at the Jo?ef Stefan Institute, Ljubljana, Slovenia. *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** The important dates of OSE5 are: * 20th September 2019: Presentation title and abstract submission * 27th September 2019: Notification of acceptance & registrations open * 18th October 2019: Early registration closes (late registrations will be possible till the date of the event, subject to higher fees) * 23 November, 2019: Submissions for special issue are open *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** Please submit your 2000 characters abstract to http://icelab.uk/ose5/ose5-abstract-submission/ You can find more info about OSE5 at http://icelab.uk/ose5/ We look forward to welcoming you in Ljubljana in November! Best Regards, OSE5 Organising Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From annalisa.riccardi at strath.ac.uk Tue Sep 10 10:50:58 2019 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Tue, 10 Sep 2019 14:50:58 +0000 Subject: Connectionists: One week to submit the abstract for your talk to OSE5 (Workshop on Optimisation in Space Engineering) In-Reply-To: <5F981B7DF1B7214DB40BAA37423DD2B636E5D841@EX2010-MBX1.ds.strath.ac.uk> References: <5F981B7DF1B7214DB40BAA37423DD2B636E5D841@EX2010-MBX1.ds.strath.ac.uk> Message-ID: Dear Colleague, one week left to submit the abstract for your talk to the 5th Workshop on Optimisation in Space Engineering (OSE5). While no full paper is required to present at the workshop, a special issue has been organised on the Springer "Optimisation and Engineering" journal http://icelab.uk/ose5/ose5-special-issue/ The workshop will take place on 21-22 November 2019 at the Jo?ef Stefan Institute, Ljubljana, Slovenia. *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** The important dates of OSE5 are: * 20th September 2019: Presentation title and abstract submission * 27th September 2019: Notification of acceptance & registrations open * 18th October 2019: Early registration closes (late registrations will be possible till the date of the event, subject to higher fees) * 23 November, 2019: Submissions for special issue are open *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** Please submit your 2000 characters abstract to http://icelab.uk/ose5/ose5-abstract-submission/ You can find more info about OSE5 at http://icelab.uk/ose5/ We look forward to welcoming you in Ljubljana in November! Best Regards, OSE5 Organising Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From askuznet at iupui.edu Tue Sep 10 18:56:07 2019 From: askuznet at iupui.edu (Alexey Kuznetsov) Date: Tue, 10 Sep 2019 18:56:07 -0400 Subject: Connectionists: PostDoc available: Indianapolis-Paris Message-ID: *POSTDOCTORAL POSITION* *Indianapolis, Indiana, United States; Paris, France* A one-year postdoctoral position is available for a project on computational modeling of the influence of alcohol on the cortico-striatal signaling. The post-doc will design a biophysical model of the cortico-striatal brain circuitry affected by alcohol. The position is available beginning December 2019 for one years. The post-doc will work with Prof. Kuznetsov (Mathematics Dept. IUPUI) and collaborate with experimentalists Prof. Atwood (IUSM) and Prof. Lapish (Psycology Dept. IUPUI). For the first part of the project the fellow will have the opportunity for an extended stay in Paris France together with the PI to collaborate with Prof. Gutkin (ENS Paris). The locations provide an excellent environment for collaborative research in quantitative biosciences. *Qualifications*: Applicants should have a Ph.D. in Mathematics, Physics, or a related field, a background in Dynamical Systems, programming experience and working knowledge in Computational Neuroscience. *How to Apply:* Send your CV, list of publications, research statement, and contact information for three references to Prof. Alexey Kuznetsov via e-mail: askuznet at iupui.edu, or by regular mail: 402 N. Blackford Street, LD 270, Indianapolis, IN 46202. IUPUI is an Equal Opportunity/Affirmative Action Institution. Individuals who require a reasonable accommodation in order to participate in the application process must notify Cindy Ritchie at 402 N. Blackford Street, LD 270, Indianapolis, Indiana 46202 or call (317) 274-6920, a reasonable time in advance. IUPUI strongly encourages applications from women and underrepresented minorities. Additional information about IUPUI and the Department is available at www.iupui.eduand www.math.iupui.edu. -- Alexey Kuznetsov Associate Professor Dept. of Mathematical Sciences, IUPUI Science Building, LD 270, 402 N. Blackford St., Indianapolis, IN -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefan.haufe at charite.de Wed Sep 11 04:04:29 2019 From: stefan.haufe at charite.de (Stefan Haufe) Date: Wed, 11 Sep 2019 10:04:29 +0200 Subject: Connectionists: =?utf-8?q?Two_PhD_Positions_in_Machine_Learning/N?= =?utf-8?q?euroimaging_at_Charite=CC=81_Berlin?= Message-ID: Dear all, The Brain and Data Science Lab of Stefan Haufe at Charite? - Universita?tsmedizin Berlin is looking to recruit two highly motivated PhD students. Appointments can be made for four years starting immediately. 1. Theory and practice of interpreting machine learning models Machine learning systems have recently set new standards for solving a wide range of problems by leveraging vast amounts of training data. But they have remained ?black boxes? whose internal workings are too complex to be comprehensible by a human. Especially in the health domain, it is desirable to explain and visualize the decisions of ML models. Recently, it has been shown that many existing explanation methods can be misleading even when using simple linear ML models [Haufe et al., 2014; Kindermans et al., 2018]. In this PhD project, a bottom-up approach will be performed, in which correct interpretation will be defined axiomatically. The resulting definition will be used to benchmark novel and existing explanation methods using synthetic ground-truth data. The resulting methodology will also be applied to clinical use cases. 2. Estimating and characterizing EEG/MEG functional connectomes in aging and dementia The study of functional brain interactions promises to greatly enhance our understanding of mental diseases. EEG and MEG make it possible to brain dynamics at high temporal scales but suffer from low spatial resolution, which often leads to false detections of brain connectivity. While the problem has been overcome for linear connectivity metrics [Nolte et al., 2004; Haufe et al., 2013] it still persists for non-linear interactions such as phase-amplitude and amplitude-amplitude coupling, which have been postulated as possible mechanisms of brain communication. This PhD project will establish a best practice to reconstruct non-linear connectivity from EEG/MEG data. The developed pipeline will be applied to study brain connectivity in aging and neurological conditions (dementia) using big EEG/MEG datasets. Interpretable machine learning will further be used to relate functional connectomes to behavior and relevant clinical variables. The Brain and Data Science Group at Charite? develops machine learning and signal processing methods for the analysis of non-invasive brain signals in health and disease. We are located at the Berlin Center for Advanced Neuroimaging (BCAN) on the beautiful historic Charite? Campus Mitte in the center of Berlin, and are embedded in a stimulating inter-disciplinary research environment. The group is funded by an ERC starting grant of the European Union. Requirements: Candidates are expected to hold a very good MSc or equivalent degree preferably in a technical field (machine learning, computer science, statistics, mathematics, computational (neuro) science, data science, physics, electrical/biomedical engineering, etc.). All positions require a solid math/statistics background, proficiency in written English, and good coding skills (e.g., Matlab, Python, C++, Java). Prior experience with functional neuroimaging data is a plus. Applications should include a letter of motivation, a CV, transcripts and degree certificates, as well as (if available) references, an English-language writing sample, and a coding sample (e.g. link to a github project). Applications should be sent to stefan.haufe at charite.de until Oct 15th 2019. All attached documents should be contained in a single pdf. See braindata.charite.de for further information on the positions and our group. With best wishes, Stefan Haufe -- Stefan Haufe ERC Research Group Leader Charit? - Universit?tsmedizin Berlin Berlin Center for Advanced Neuroimaging (BCAN) Charit?platz 1 Sauerbruchweg 4 10117 Berlin Tel: +49 30 450 639 639 Fax: +49 30 450 539 951 Web: braindata.charite.de -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5331 bytes Desc: S/MIME Cryptographic Signature URL: From shing at psych.uni-frankfurt.de Wed Sep 11 04:54:06 2019 From: shing at psych.uni-frankfurt.de (Yee Lee Shing) Date: Wed, 11 Sep 2019 10:54:06 +0200 Subject: Connectionists: Postdoc position in developmental cognitive neuroscience/psychology (Frankfurt, Germany) Message-ID: The Faculty of Psychology and Sports Sciencesof Johann Wolfgang Goethe University Frankfurt, at the group of Developmental Psychology (led by Prof. Dr. Yee Lee Shing), is offering a postdoctoral researcher position (funded by an ERC Starting Grant*)* *starting January/February 2020*for an initial duration of 2 years (1 year extension possible). The salary grade is based on the job characteristics of the collective agreement (TV-G-U) applicable to Goethe University. The successful candidate will conduct research in the fields of long-term memory systems, predictive processing, and lifespan development, using computational modeling, experimental, and/or neuroimaging (fMRI/EEG) methods.Applicants should have a Ph.D. in cognitive neuroscience, psychology, or related disciplines. Computer programming skills (Matlab, Unix, Python, and/or R) are expected. Applicants should be highly motivated for research, have excellent organizational skills, and be able to communicate effectively with outstanding writing ability. Please send your electronic application (as a single PDF file), comprised of cover letter, CV, copy of formal certificates, and letters of recommendation, to Prof. Dr. Yee Lee Shing (shing at psych.uni-frankfurt.de), *latest by 07.10.2019*. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mdhamala at mail.phy-astr.gsu.edu Wed Sep 11 08:05:12 2019 From: mdhamala at mail.phy-astr.gsu.edu (mdhamala) Date: Wed, 11 Sep 2019 08:05:12 -0400 Subject: Connectionists: Registration Deadline to BrainModes 2019 Conference is Approaching! Message-ID: <1f5d5b90511b649aa265ff48225952b1@mail.phy-astr.gsu.edu> ------------------------------------------------------------------------------------ Registration Deadline (September 30) to BrainModes 2019 Conference is Approaching! ------------------------------------------------------------------------------------ BrainModes 2019 (http://www.physics.gsu.edu/dhamala/brainmodes2019.html) -December 12 ? 13: Main Meeting ((Oral and Poster Sessions) -December 11, 2019: Pre-Conference Educational Course Structural and Functional Neuroimaging Overview (Instructor: Michael Breakspear) Virtual Brain Theory (Instructor: Viktor Jirsa) Virtual Brain Applications (Instructor: Petra Ritter and Randy McIntosh) Neural Field Theory and Applications (Instructor: Peter Robinson) Granger Causality Theory and Applications (Instructor: Mukesh Dhamala) Information-Theoretic Measures and Applications (Instructor: Daniele Marinazzo) Dynamical Causal Modeling Theory and Applications (Instructor: Karl Friston) BrainModes (http://brainmodes.org/) is an annual meeting that brings together international experts from various disciplines and seeks to explore innovative means of understanding complex brain activity and multimodal neuroscience data sets. This year's meeting will focus on exploring "Unified Principles of Brain Connectivity and Dynamics". It will be held in Pokhara (https://en.wikipedia.org/wiki/Pokhara), Nepal. The main conference will be on December 12 - 13. The pre-conference course, intended to provide participants with the foundations of neuroimaging and computational neuroscience, will be offered on December 11. For both of these events, the total number of participants will be limited to 100. The main hotel for accommodation and conference venue will be hotel Barahi, Pokhara. Makalu Travels is the official travel agency for BrainModes 2019. Hotel Barahi for Pokhara, Hotels for Kathmandu and Kathmandu-Pokhara flights can be booked online: https://brainmodes.makalutravels.com/. For other individual accomodation (hotel in Kathmandu) and travel requirements, please contact Makalu Travels at email: brainmodes at makalutravels.com, phone: 1(702) 331-8700 or +1(619) 924-0575. Makalu Travels' rate-negotiated hotels in Kathmandu include: Manaslu, Le Himalaya, Radisson, Tibet International, Hyatt Regency. For details and registration, please visit the conference website: http://www.physics.gsu.edu/dhamala/brainmodes2019.html. The registration deadline is September 30. Organizers: Mukesh Dhamala, Georgia State University, Atlanta, USA Daniele Marinazzo, Ghent University, Ghent, Belgium Petra Ritter, Charit? University, Berlin, Germany From tomas.hromadka at gmail.com Wed Sep 11 12:44:10 2019 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Wed, 11 Sep 2019 18:44:10 +0200 Subject: Connectionists: COSYNE 2020: Meeting announcement and Call for workshop proposals Message-ID: <8de00f2e-6519-1bed-082c-a8c1bb8bdb40@gmail.com> ==================================================== Computational and Systems Neuroscience 2020 (Cosyne) MAIN MEETING 27 February - 01 March 2020 Denver, Colorado WORKSHOPS 02 March - 03 March 2020 Breckenridge, Colorado www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Workshop pre-proposal deadline: 06 October 2019 Workshop proposal deadline: 10 November 2019 Abstract submission opens: 01 October 2019 Abstract submission deadline: 31 October 2019 COSYNE INVITED SPEAKERS Matthew Botvinick (Deepmind/Princeton) Megan Carey (Champalimaud) John Cunningham (Columbia) Gul Dolen (Hopkins) Rainer Friedrich (FMI Basel) Sam Gershman (Harvard) Lisa Giocomo (Stanford) Christopher Harvey (Harvard) Mehrdad Jazayeri (MIT) Wei Ji Ma, (NYU) Hendrikje Nienborg (Tuebingen/NIH) Linda Wilbrecht (Berkeley) Marta Zlatic (Janelia) When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Workshop Chairs: Catherine Hartley (NYU) and Blake Richards (McGill) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------------------------- PRE-PROPOSAL DEADLINE: 06 October 2019 FULL PROPOSAL DEADLINE: 10 November 2019 A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (8.00-11.00 AM) and afternoon (4.30-7.30 PM) sessions. - Workshops will be held in Breckenridge, CO, a ski village 80 miles west of Denver. Buses from the main conference will be provided. - Workshop speakers do *not* receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and Breckenridge staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): 1. Relevance to the Cosyne community 2. Integration of experimental and theoretical issues 3. Current interest in the topic in the scientific community 4. Potential for new research directions and interactions to emerge 5. Distinctive scope/approach compared to other workshops (including previous years?) 6. Diversity and equity in the proposed speakers PRE-PROPOSALS In an effort to coordinate submissions, workshop organizers are *strongly encouraged* to submit a pre-proposal by *06 October 2019.* Submission instructions for workshop (pre)-proposals are available at Cosyne.org -> Workshops. Pre-proposals may be shared among submitters to reduce topical overlap or facilitate merging of workshops. Pre-proposals are not mandatory, but workshops with a pre-proposal will have priority. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a speaker can take part in no more than two Workshops. PRE-PROPOSALS should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). A primary contact should be designated. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names of potential invitees, with indication of confirmed speakers. Preference will be given to workshops with confirmed speakers. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). FULL PROPOSALS should include the list of confirmed speakers in addition to components required for a pre-proposal. WORKSHOP COSTS Detailed registration costs, etc, will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2020 WORKSHOP CHAIRS Catherine Hartley (NYU) and Blake Richards (McGill) QUESTIONS email: workshops [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details. From cgf at isep.ipp.pt Wed Sep 11 12:40:41 2019 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Wed, 11 Sep 2019 16:40:41 +0000 Subject: Connectionists: CFP: DATA STREAMS TRACK - ACM SAC 2020 (Submission deadline: September 15, 2019) Message-ID: <35f28459-30e9-c18b-2c88-b0a1a9a5a19c@isep.ipp.pt> *ACM Symposium on Applied Computing * The 35th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic March 30 ? April 3, 2020 https://www.sigapp.org/sac/sac2020/ *Data Streams Track * https://www.cs.waikato.ac.nz/~abifet/SAC2020/ *Call for Papers * The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions. *TOPICS OF INTEREST * We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to: * Real-Time Analytics * Big Data Mining * Data Stream Models * Large Scale Machine Learning * Languages for Stream Query * Continuous Queries * Clustering from Data Streams * Decision Trees from Data Streams * Association Rules from Data Streams * Decision Rules from Data Streams * Bayesian Networks from Data Streams * Neural Networks for Data Streams * Feature Selection from Data Streams * Visualization Techniques for Data Streams * Incremental on-line Learning Algorithms * Single-Pass Algorithms * Temporal, spatial, and spatio-temporal data mining * Scalable Algorithms * Real-Time and Real-World Applications using Stream data * Distributed and Social Stream Mining * Urban Computing, Smart Cities * Internet of Things (IoT) *IMPORTANT DATES (strict) * 1. Paper Submission: September 15, 2019 2. Author Notification: November 10, 2019 3. Camera?ready copies: November 25, 2019 *PAPER SUBMISSION GUIDELINES * Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper format for a number of document preparation systems at: http://www.acm.org/sigs/pubs/proceed/template.html Important notice: 1. Please submit your contribution via SAC 2020 Webpage. 2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library. If you encounter any problems with your submission, please contact the Program Coordinator. Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From palashchhabra7 at gmail.com Thu Sep 12 00:07:11 2019 From: palashchhabra7 at gmail.com (PALASH CHHABRA) Date: Thu, 12 Sep 2019 09:37:11 +0530 Subject: Connectionists: [jobs] Postdoctoral Fellow within Autonomous Navigation for Robots in Agriculture In-Reply-To: References: Message-ID: Is there any phd position opening for the above profile? Regards Palash Chhabra On Mon, 9 Sep, 2019, 10:32 AM P?l Johan From, wrote: > *Postdoctoral Fellow within Autonomous Navigation for Robots in > Agriculture* > > The Faculty of Science and Technology at the Norwegian University of Life > Sciences (NMBU) has a vacant two-year position as Postdoctoral Fellow > within autonomous navigation for robots in the agricultural domain. > > In order to exploit the great potential of robots in agriculture, these > robots rely on accurate information on their own position and their > surroundings. Precision operations such as harvesting and removal of weeds > require the accuracy of navigation to be at the cm-level. Reliable > estimates of navigation information with high accuracy is difficult with > satellite-based systems alone, so one will have to rely on integrated > solutions with information from many types of sensors such as e.g.: > inertial sensors, cameras, laser scanners and ultra wideband radars. > > In addition, these robots need to be equipped with the sufficient level of > autonomy to be able to operate safely and reliably in a complex and dynamic > environment. Task allocation and scheduling tasks for one or multiple > robots is an important research topic. The robots need to operate in areas > where humans and animals have access, and therefore need to do this in a > safe way. > > *Main tasks* > > > > The main task of the candidate will be to implement safe and robust > autonomy in the agricultural environment, and in particular for robots that > operate both in the indoor and outdoor domain. The main activities will be > related to one or more of the following topics: > > > > Safe and robust navigation in the agricultural environment. This > includes both indoor (without, or with poor GNSS coverage) and outdoor > environments. > > Obstacle avoidance in a dynamic environment. > > Safety, in particular recognition of dangerous situations for the > robot and its environment. > > Optimal trajectory planning. > > Human-robot interaction. > > Certification and proven robustness. > > System integration. > > > > The person appointed to the position will be expected to take an active > part in the daily activities of the robotics group at REALTEK, including > seminars, courses, etc. > > *Required Academic qualifications* > > - PhD in Engineering Cybernetics, Robotics, Control, or similar. > - Proficiency in mathematical modeling, control and statistical > methods. > - Hands-on experience from implementing algorithms on real systems. > > *Desired Academic qualifications* > > - Experience with implementing Kalman filters, particle filters, or > similar. > - Experience with Robot design and prototyping. > - Experience with Navigation algorithms such as waypoint navigation, > SLAM, etc. > - Experience from large research projects or industry. > - Experience with Machine vision. > - Excellent programming skills, ROS, C/C++, Python > > For more information, or to apply, please see > https://www.jobbnorge.no/en/available-jobs/job/174712/postdoctoral-fellow-within-autonomous-navigation-for-robots-in-agriculture > > > > *--- * > > > > *P?l Johan From*, Ph.D. > *Professor* > > *Norwegian University of Life Sciences* > > Faculty of Science and Technology > > [image: cid:833583F8-D3AC-4EEE-869A-3638B53186EC] > > > tel: +47 67231603 > cel: +47 90690932 > e-mail: pafr at nmbu.no > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 10560 bytes Desc: not available URL: From jaakko.peltonen at aalto.fi Thu Sep 12 04:51:39 2019 From: jaakko.peltonen at aalto.fi (Peltonen Jaakko) Date: Thu, 12 Sep 2019 08:51:39 +0000 Subject: Connectionists: Research Assistant or Project Researcher (Ethical use of AI), 2 positions Message-ID: Research Assistant or Project Researcher (Ethical use of AI), 2 positions Duration: fixed-term until August 31, 2022 Apply at: https://tuni.rekrytointi.com/paikat/?o=A_A&jid=290 Deadline: 2019-09-19 at 23:59 EEST / 20:59 UTC The Faculty of Information Technology and Communication Sciences at Tampere University, Finland, invites applications for two (2) fixed-term full-time Project Researcher or Research Assistant positions for a period from October 1st, 2019 to August 31st, 2022. If the project advances well, it may get extension, in which case the positions may be extended. Job description The research takes place in the Academy of Finland Strategic Research Council funded project ?Ethical AI in the governance of society? (ETAIROS). The project focuses on ethical use of artificial intelligence (AI) and it includes work with partner organisations? cases, with topics such as safety, autonomous systems, and health. The task of the first position is to perform research on artificial intelligence systems using formal methods to specify, analyse, and simulate AI systems. The methods are applied to identify and eliminate ethical problems, which will also be specified. The task of the second position is to perform research on machine learning methods, to develop methods that can systematically identify and eliminate biases generated by data in AI systems. The research aims to create scientifically significant methods that are applicable in practice. The methods will be tested with partner organisations of the research. Requirements The positions are appropriate for doctoral students as a Project Researcher or master?s thesis students as a Research Assistant as long as they graduate after which they can become doctoral students. The first position requires skills on formal specifications and programming language implementation. The second position requires skills in machine learning, data analysis, and statistics. Both positions require good programming skills and good written and oral communication skills in Finnish, English, or both. Finnish language skills are a benefit as a part of the data used is in Finnish. The selected persons are expected to carry out research leading to a PhD thesis. We offer The positions are full time and will be filled for a fixed-term until August 31, 2022. A trial period of six months applies to all our new employees The salary will be based on both the job demands and the employee's personal performance in accordance with the University Salary System. The position of Research Assistant is placed on the job demand level 1 and position of Project Researcher on the job demand level 2 to 3 (the demand level chart for the teaching and research staff). In addition, employees will receive performance-based salary. How to apply Please submit your application through our online recruitment system. The closing date for applications is September 19, 2019 (at 23:59 EEST / 20:59 UTC). Applications should include the following documents (in pdf-format): Curriculum Vitae according to TENK template (including publications if any) Transcript of studies Motivation letter Inquiries: Position 1: Professor Tomi Janhunen, tomi.janhunen at tuni.fi, puh. +358 50 318 2250 Position 2: Professor Jaakko Peltonen, jaakko.peltonen at tuni.fi, puh. +358 50 362 3628 From education at humanbrainproject.eu Thu Sep 12 08:54:27 2019 From: education at humanbrainproject.eu (education at humanbrainproject.eu) Date: Thu, 12 Sep 2019 14:54:27 +0200 Subject: Connectionists: Call for abstracts: 4th HBP Student Conference on Interdisciplinary Brain Research | 21-22 January 2020 | Pisa, Italy Message-ID: Dear all, On 21-22 January 2020, the HBP Education Programme will organise the 4th HBP Student Conference on Interdisciplinary Brain Research in Pisa, Italy. The conference provides an open forum for the exchange of new ideas among young researchers working across various aspects of science relevant to the Human Brain Project (HBP) and offers a space for extensive scientific dialogue. Call for Submissions Participants are welcome to submit abstracts to present their research in dedicated student sessions (short talks and/or poster presentations). We invite original high-quality submissions describing innovative research in all disciplines addressed in the HBP. These contributions can emphasise theoretical or empirical works relating to a wide spectrum of fields including but not limited to: neuroscience, computer science, robotics, medicine, psychology, cognitive science or philosophy. We particularly encourage submissions with a potential to inspire collaboration in the research community by introducing new and relevant problems, concepts, and ideas, even if the work is at an early stage of development. Abstract submission deadline: 30 September 2019 Further information on abstract submission and registration: bit.ly/HBPSC2020 Theresa Rass HBP Education Programme Project Manager - Targeted Engagement and Knowledge Transfer Medical University Innsbruck (MUI) M?llerstra?e 59, 6020 Innsbruck, Austria Phone Office: +43 512 9003 71246 Mobile Phone: +43 676 871672246 Email: education at humanbrainproject.eu Follow us on Twitter, Facebook and LinkedIn! Keep up with the Education Programme?s latest news, event information, job offers, videos and more. Share our news with your friends and colleagues to help spreading our education and training opportunities throughout the international research community. Where to follow: Twitter: @HBP_Education Facebook: @hbpeducation LinkedIn: HBP Education Programme -------------- next part -------------- An HTML attachment was scrubbed... URL: From sahidullahmd at gmail.com Thu Sep 12 19:20:57 2019 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Fri, 13 Sep 2019 01:20:57 +0200 Subject: Connectionists: Call for Papers: Special issue on Advances in Automatic Speaker Verification Anti-spoofing Message-ID: [Apologies for possible cross-posting] Computer Speech and Language Special issue on Advances in Automatic Speaker Verification Anti-spoofing ( https://www.journals.elsevier.com/computer-speech-and-language/call-for-papers/advances-in-automatic-speaker ) The performance of voice biometrics systems based on automatic speaker verification (ASV) technology degrades significantly in the presence of spoofing attacks. Over the past few years considerable progress has been made in the field of ASV anti-spoofing. This includes the development of new speech corpora, common evaluation protocols and advancements in front-end feature extraction and back-end classifiers. The ASVspoof initiative was launched to promote the development of countermeasures which aim to protect ASV from spoofing attacks. ASVspoof 2015, the first edition, focused on the detection of synthetic speech created with voice conversion (VC) and text-to-speech (TTS) methods. The second edition, ASVspoof 2017, focused on the detection of replayed speech. ASVspoof 2019, the latest edition included two sub-challenges geared towards "logical access" (LA) and "physical access" (PA) scenarios. The LA scenario relates to the detection of synthetic speech created with advanced VC and TTS methods developed by academic and non-academic organizations. The PA scenario promotes the develop of countermeasures for the detection of replayed speech signals. More than 60 academic and industrial teams participated in the ASVspoof 2019 challenge. Preliminary results indicate considerable performance improvements in terms of two evaluation metrics adopted for the challenge. The top-ranking teams applied different machine learning algorithms suitable for the discrimination of natural and spoofed speech. This special issue will feature articles describing top-performing techniques and detailed analyses of some of the systems reported in recent years by leading anti-spoofing researchers. The special issue will also consist of an overview article which covers ASVspoof 2019 challenge results, and meta analyses. The scope of the special issue is, however, not limited to work performed using the ASVspoof challenge datasets; studies conducted with other datasets are also welcome. Please contact at info at asvspoof.org if you have any questions about the relevance of your work for this special issue. Topics of interest include (but are not limited to): -Speaker verification anti-spoofing on ASVspoof 2019 -Datasets for speaker verification anti-spoofing -Deep learning for spoofing and anti-spoofing -Joint evaluation of countermeasures and speaker verification -Evaluation methodology for speaker verification anti-spoofing -Voice conversion for spoofing speaker verification systems -Text-to-speech for spoofing speaker verification systems -Robust spoofing countermeasures -Generalized spoofing countermeasures -Audio watermarking for spoofing countermeasures -Acoustic fingerprinting for spoofing countermeasures -Knowledge-based approaches for spoofing countermeasures -Open source toolkit for speaker verification anti-spoofing Important Dates: Submission open: June 1, 2019 Submission deadline: September 30, 2019 Acceptance deadline: February 10, 2020 Publication: March, 2020 Guest Editors: Andreas Nautsch, EURECOM, France Hector Delgado, Nuance Communications, Spain Massimiliano Todisco, EURECOM, France Md Sahidullah, Inria, France Ville Vestman, UEF, Finland Xin Wang, NII, Japan Advisory Committee: Junichi Yamagishi, NII, Japan Kong-Aik Lee, NEC Corp, Japan Nicolas Evans, EURCOM, France Tomi Kinnunen, UEF, Finland -- Md Sahidullah website: *https://sites.google.com/site/iitkgpsahi/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From robert.legenstein at igi.tugraz.at Thu Sep 12 09:09:07 2019 From: robert.legenstein at igi.tugraz.at (Robert Legenstein) Date: Thu, 12 Sep 2019 15:09:07 +0200 Subject: Connectionists: Tenure Track Professorship in Machine Learning Message-ID: <558ba5f5-bbd0-8f42-050e-d14c0970728b@igi.tugraz.at> The Department of Computer Science and Biomedical Engineering at Graz University of Technology is offering a tenure track professorship in Machine Learning. We are looking for outstanding candidates with a research focus in the field of Machine Learning methods. Specific research topics include, but are not restricted to, the development and analysis of machine learning algorithms and the development of neuromorphic learning algorithms. The professorship will be part of the Institute of Theoretical Computer Science. The institute is an internationally renowned research environment engaged in fundamental research at the intersection of the fields of Computational Neuroscience and Machine Learning with an emphasis on brain-inspired principles of computation and learning. The successfully candidate will complement the existing strengths at the institute with his/her own expertise and build an internationally visible group. He/she will be an engaged teacher in the Computer Science programs at the Bachelor?s, Master?s, and PhD level and will actively participate in academic self-administration. Application deadline is 26 November 2019. For details see: https://www.tugraz.at/fakultaeten/infbio/news/jobs-grants-calls/tenure-track-professor-in-machine-learning/ -- Dr. Robert Legenstein Institute head Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ---------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Fri Sep 13 04:22:22 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 13 Sep 2019 11:22:22 +0300 Subject: Connectionists: 23rd Pan-Hellenic Conference on Informatics (PCI 2019): Last Mile for Paper Submission In-Reply-To: References: <52BFE0CA-1718-419F-915B-083C851BD2EA@cs.ucy.ac.cy> <4CE75EA3-1A07-4281-A6DD-22447C2DA1DF@cs.ucy.ac.cy> Message-ID: <0866F1A6-A68D-439C-83B1-67FFF52E9A40@cs.ucy.ac.cy> *** LAST MILE FOR PAPER SUBMISSION *** 23rd Pan-Hellenic Conference on Informatics (PCI 2019) University of Nicosia, Nicosia, Cyprus, November 28-30, 2019 https://www.unic.ac.cy/pci2019 *** Submission Deadline: September 17, 2019 *** *** Proceedings to be published by ACM ICPS *** The University of Nicosia, the University of Cyprus, the Open University Cyprus and the Greek Computer Society organize the 23rd Pan-Hellenic Conference on Informatics (PCI 2019) in Nicosia, Cyprus on November 28-30, 2019. PCI 2019 aims to provide an effective channel of communication among researchers, practitioners, decision-makers and entities concerned with the latest research, scientific development and practice on ICT to discuss current, state-of-the-art topics that are of relevance and significance for national competitiveness as well as for sustainable, robust and equitable regional development. Submissions to PCI 2019 might cover, but are not limited, to the following topics: ? Algorithms & Data Structures ? Artificial Intelligence ? Bioinformatics ? Bio & Nature Inspired Computing ? Blockchain Technologies ? Cloud Computing ? Communication & Information Systems Security and Privacy ? Computational Science ? Computer & Communication Networks ? CRM & ERP Systems ? Databases ? Data Mining ? Digital Libraries ? Digital Systems ? Distributed Computing ? eCommerce, eBusiness, eHealth ? Telecommunication Systems ? Wireless & Mobile Computing ? Learning Technologies ? Graphics, Visualization, Multimedia & Virtual Reality ? Grid, Cluster & P2P Computing ? Hardware & Architecture ? Embedded Systems ? Human-Computer Interaction ? Image and Video Processing ? Information Retrieval ? Information Society: Legal and Regulatory Issues ? Information Systems ? Information Theory ? Knowledge Based Systems ? Numerical & Scientific Computation ? Open Source Software ? Operating Systems ? Parallel & Distributed Systems ? Programming Languages ? Signal Processing ? Software Engineering PCI 2019 encourages the submission of high quality papers with original content in the following tracks: ? Research Paper: full paper (8 pages) describing original and unpublished results of conceptual, empirical, experimental, or theoretical work in all areas of Computer Science. ? Research Project Results: extended abstract (2 pages) presenting the results of funded completed or ongoing research projects at national or European level. ? Industry: extended abstract (2 pages) presenting novel industrial solutions, success stories, and challenges that are encountered in an industry setting when adopting IT technologies. Templates for submissions can be found at the ACM SIG proceedings website: https://www.acm.org/publications/proceedings-template . Papers should be submitted via EasyChair using the following link: https://easychair.org/my/conference?conf=pci2019 . The submitted research papers and extended abstracts will be peer-reviewed on the basis of technical quality, relevance to scope of PCI, originality, significance, and clarity. Note that submitted papers should have neither been published nor submitted for publication elsewhere. The working language of the conference is English and the papers should be written in that language. As in previous years, the final version of the research papers accepted for presentation at PCI 2019 will be published by ACM in the ICPS Series and will be included in the ACM Digital library. The accepted extended abstracts will be allocated either a demo or poster slot during the conference. At least one author of each accepted paper or abstract is expected to register, attend the conference and present their contribution. Invited Speakers ? Professor George Chrysanthou ? Professor George Giaglis Important Dates ? Paper submission deadline: September 17, 2019 ? Notification of paper acceptance/rejection: October 17, 2019 ? Submission of camera ready papers: October 24, 2019 ? Author registration: October 24, 2019 Organization General Chairs ? Yannis Manolopoulos, Open University Cyprus, Cyprus ? George Angelos Papadopoulos, University of Cyprus, Cyprus ? Athena Stassopoulou, University of Nicosia, Cyprus Program Chairs ? Ioanna Dionysiou, University of Nicosia, Cyprus ? Ioannis Kyriakides, University of Nicosia, Cyprus ? Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus Local Advisory Committee ? Demetris Trihinas (chair, University of Nicosia) ? Achilleas Achilleos (Frederick University Cyprus) ? Panayiotis Andreou (University of Central Lancashire-Cyprus) ? Christodoulos Efstathiades (European University Cyprus) ? Angelika Kokkinaki (University of Nicosia) ? Ioannis Krikidis (University of Cyprus) ? Jahna Otterbacher (Open University Cyprus) ? Vicky Papadopoulou (European University Cyprus) ? Nearchos Paspallis (University of Central Lancashire-Cyprus) ? Michalis Sirivianos (Cyprus University of Technology) ? Stavros Stavrou (Open University Cyprus) ? Demetris Zeinalipour (University of Cyprus) Proceedings Editor ? Harald Gjermundrod (University of Nicosia) Steering Committee ? Christos Douligeris (Greek Computer Society) ? Nikitas Karanikolas (Greek Computer Society) ? Christos Koilias (Greek Computer Society) ? Cleo Sgouropoulou (Greek Computer Society) ? Ioannis Voyatzis (chair, Greek Computer Society) -------------- next part -------------- An HTML attachment was scrubbed... URL: From donatello.conte at univ-tours.fr Fri Sep 13 04:52:52 2019 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Fri, 13 Sep 2019 10:52:52 +0200 Subject: Connectionists: Deadline Extended for Video Processing for Human Behavioral Analysis (VP-HBA) Track at 35th ACM-SAC 2020 in Brno, Czech Republic Message-ID: <019301d56a10$a0ea2c60$e2be8520$@univ-tours.fr> --------------------------------------------------------- Apologies for multiples copies --------------------------------------------------------- New Dates! Submission of regular papers: September 15, 2019 September 29, 2019 Notification of acceptance/rejection: November 10, 2019 November 24, 2019 Camera-ready copies of accepted papers: November 25, 2019 December 9, 2019 SAC Conference: March 30-April 3, 2020 Call for Papers Video Processing for Human Behavioral Analysis (VP-HBA) Track https://sites.google.com/view/vp-hba-sac-2020 Motivations and topics The ACM Symposium on Applied Computing (SAC) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2020 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Brno, Czech Republic. The technical track on Video Processing for Human Behavioral Analysis (VP-HBA) will be organized for the first time in SAC 2020. Actions, but also personality behavior recognition is starting to be explored in the computer vision research field. Tools for effectively analyzing these sort of behaviors have a major impact into everyone's life, with applications in health, security, human computer/machine/robot interaction and entertainment. This track intend to focus in all aspects of computer vision and pattern recognition devoted to the automatic analysis of human behavior by applying recent or new video processing techniques. The scope of VP-HBA includes, but is not limited to, the following topics: . Human behavior analysis from visual and multimodal information . Human action recognition . Information fusion for the analysis of human behavior . Crowds analysis in videos . Articulated body posture estimation . Interactions engagement modeling and detection . (Multi-Modal) Learning from Videos . Object Detection and Tracking . Elderly person monitoring systems . Gesture and Gait Analysis . Expression and emotion Recognition . Affective Computing . Applications of behavior analysis methods, e.g., medicine, sports, well-being, security, environment . Multimodal non-verbal signals analysis . Spatio-temporal concept detection and recognition (trajectory analysis, etc.) Submission Guidelines Authors are invited to submit original and unpublished papers of research and applications for this track. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review. Please, visit the website for more information about submission SAC No-Show Policy Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. Donatello Conte Jean-Yves Ramel Raffaella Lanzarotti (General chairs) -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at u-bourgogne.fr Fri Sep 13 07:36:16 2019 From: hocine.cherifi at u-bourgogne.fr (hocine cherifi) Date: Fri, 13 Sep 2019 13:36:16 +0200 Subject: Connectionists: COMPLEX NETWORKS 2019 Submission Deaddline September 16, 2019 Message-ID: *Apologies for any cross posting* *Eighth** Int. Conference on Complex Networks & Their Applications* *Lisbon, Portugal Dec. 10- 12, 2019* http://www.complexnetworks.org *Speakers :* ? Lada Adamic Facebook, USA ? Reka Albert Penn State, USA ? Ulrik Brandes ETH Zurich, Switzerland ? Jari Saram?ki Aalto University, Finland ? Stefan Thurner Medical University of Vienna, Austria ? Michalis Vazirgiannis Ecole Polytechnique, France *Tutorials:* December 09, 2019 ? Diego Saez-Trumper Wikimedia Foundation ? Maria Angeles Serrano University of Barcelona, Spain Submission deadline: September 16, 2019 FIRM DEADLINE. *Full papers *and *Extended Abstracts* *are welcome.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* Extended versions of accepted contributions will be invited for publication in *special issues of :* o Applied Network Science edited by Springer o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o Social Network Analysis and Mining edited by Springer - PLOS one *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Jos? Fernando Mendes (University of Aveiro, Portugal) Luis M. Rocha (Indiana University) *ADVISORY BOARD* Jon Crowcroft (University of Cambridge, UK) Raissa D'Souza (UC Davis, USA) Eugene Stanley (Boston University, USA) Ben Y. Zhao (University of Chicago, USA) *Join us at *: COMPLEX NETWORKS 2019, Lisbon, Portugal *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From krallinger.martin at gmail.com Fri Sep 13 08:58:00 2019 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Fri, 13 Sep 2019 14:58:00 +0200 Subject: Connectionists: Post-doctoral Research Position in Biomedical/clinical Text Mining In-Reply-To: References: Message-ID: The Barcelona Supercomputing Center (BSC) has opened the STARS programme Post-doctoral Research Position call. The STARS programme aims at fostering the training of highly skilled post-doc. This initiative is part of COFUND call of the Marie Sklodowska Curie Actions within the Horizon 2020 Programme. Among the groups/research lines available to welcome a postdoctoral position in the STARS programme call is Text Mining in Biomedicine. The STARS programme is a great opportunity to pursue a PostDoc doing research on biomedical and clinical text mining, deep learning, IR and NLP at our Text mining in biomedicine group at BSC, also with unique access to the HPC infrastructure opportunities: For additional information and application refer to: https://www.bsc.es/join-us/excellence-career-opportunities/stars The application deadline is the 30th of September 2019 at 11PM CET. ======================================= Martin Krallinger, Dr. -------------------------------------------------------------------- Head of Biological Text Mining Unit Barcelona Supercomputing Center (BSC-CNS) -------------------------------------------------------------------- Oficina T?cnica de sanidad del Plan TL ======================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomas.j.palmeri at vanderbilt.edu Fri Sep 13 15:29:56 2019 From: thomas.j.palmeri at vanderbilt.edu (Palmeri, Thomas J) Date: Fri, 13 Sep 2019 19:29:56 +0000 Subject: Connectionists: Two tenure-track positions in neuroscience at Vanderbilt University Message-ID: <194E2EA5-7460-42FE-87FB-ED99D53A0DAC@vanderbilt.edu> The Department of Psychology of the College of Arts and Science at Vanderbilt University and the Vanderbilt Brain Institute (VBI) jointly invite applications for up to two positions at the tenure-track Assistant Professor level in the fields of non-human primate (NHP) neuroscience or human neuroscience. For each field, we seek applicants with innovative research programs at the interface of psychology and neuroscience. In non-human primate neuroscience, we particularly welcome applications from scientists using emerging techniques in circuit-level neurophysiology, neuropharmacology, or anatomy that complement existing programs of research at Vanderbilt in cognitive and systems neuroscience in non-human primates. In human neuroscience, we particularly welcome applications from scientists using electrophysiological, neuroimaging, and/or computational approaches to understanding human behavior and/or its disorders. Preference will be given to those individuals who study cognitive, clinical or social neuroscience and who complement existing programs of research in the Department of Psychology and the VBI. For either field, the ideal candidate would also leverage the latest approaches in data science. The Department of Psychology comprises about 25 faculty grouped into three interactive and overlapping clinical, cognitive & cognitive-neuroscience, and neuroscience areas, while the VBI is a trans-institutional organization that oversees and facilitates neuroscience-related endeavors carried out across 5 colleges, 22 departments and 27 centers and institutes of the Vanderbilt campus. The successful candidates will have opportunities to teach and supervise students in the Department of Psychology?s undergraduate and graduate programs and in the VBI?s neuroscience graduate program. While their primary appointment will be in Psychology, the candidates are expected to actively contribute to the VBI?s research, training, and education missions. Neuroscience and Psychology research at Vanderbilt is facilitated by numerous outstanding institutional resources including the Vanderbilt Vision Research Center, the Center for Cognitive & Integrative Neuroscience, the Vanderbilt Kennedy Center, as well as the Academic Computing Center for Research & Education, Vanderbilt Institute of Imaging Science, Vanderbilt Institute of Nanoscale Science & Engineering and the new Data Science Institute. Vanderbilt encourages and facilitates collaboration across departments and schools. Applicants should describe opportunities and relationships that they envision. Applicants should submit a cover letter, their curriculum vitae, a research and teaching statement of no more than 5 pages, up to three relevant publications, and arrange for three letters of recommendation to be sent to the search committee. The materials should be submitted via interfolio (https://apply.interfolio.com/67396). Applicants are urged to submit their materials at their earliest convenience, and no later than by November 15, 2019. Review of applications will begin on November 4. Informal inquiries may be sent via email to frank.tong at vanderbilt.edu. Vanderbilt University is an affirmative action/equal opportunity employer committed to recruiting and retaining an academically and culturally diverse community of faculty. The university has a strong institutional commitment to diversity in all areas, and particularly encourages applications from minorities, women, individuals with disabilities, and members of other underrepresented groups. --------------------------- Thomas Palmeri Distinguished Professor of Psychology co-Director of Scientific Computing Department of Psychology 507 Wilson Hall Vanderbilt University 111 21st Avenue South Nashville, Tennessee 37240 thomas.j.palmeri at vanderbilt.edu http://catlab.psy.vanderbilt.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernabe at imse-cnm.csic.es Fri Sep 13 08:37:50 2019 From: bernabe at imse-cnm.csic.es (bernabe) Date: Fri, 13 Sep 2019 14:37:50 +0200 Subject: Connectionists: PhD Student / Post-Doc positions available at IMSE, Sevilla, Spain Message-ID: *Job Offers at IMSE (Instituto de Microelectr?nica de Sevilla, Sevilla, Spain)* During summer 2019, the "Neuromorphic Group" at IMSE-CSIC (http://www2.imse-cnm.csic.es/neuromorphs/) has obtained 2 new H2020 EU projects and one CHIST-ERA EU project. Consequently, we are now hiring! We seek the following profiles: (a) digital designers (FPGA and/or CMOS), (b) analog vlsi circuit designers, (c) designers with experience on imager chips, (d) computational neuroscience profile (deep nets, spiking neural network, learning algorithms). We seek both pre-doctoral students with an MSc related to some of the above fields or experienced post-docs/professionals. Salaries will depend on experience. Starting time is expected to be around beginning of 2020, but is flexible. *Contact: bernabe at imse-cnm.csic.es * -- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: firma_80.jpg Type: image/jpeg Size: 49989 bytes Desc: not available URL: From alamer_2005 at yahoo.com Sat Sep 14 06:30:04 2019 From: alamer_2005 at yahoo.com (Ali Ismail Awad) Date: Sat, 14 Sep 2019 10:30:04 +0000 (UTC) Subject: Connectionists: Call for Chapters: Security and Privacy in Cyber-Physical Systems: Threats and Defenses References: <1468532027.1213438.1568457004381.ref@mail.yahoo.com> Message-ID: <1468532027.1213438.1568457004381@mail.yahoo.com> http://staff.www.ltu.se/~ismawa/spcps/? Call for Chapters Security and Privacy in Cyber-Physical Systems: Threats and Defenses ? Aims and Scope: A Cyber-Physical System (CPS) is a compound blend of computer and physical components, in which physical systems are controlled and monitored by computer-based algorithms. Examples of CPS are many, and include, among others, eHealth and medical monitoring, autonomous driving systems, robotic systems, industrial control systems, and smart grid. CPS blur the lines between personal and infrastructural spaces and this blurring is engineered into the Internet of Things (IoT). In IoT, a CPS has gained enormous success in a huge range of distributed integration environments. Interconnected sensing devices in CPS, sense data from the surrounding and sends them, through the network, to the interested nodes. With the help of IoT, personal CPS such as appliances, and phones with personal data, can be made available into public infrastructures to access services. This might result in leakage of personal data. Moreover, guaranteeing basic security concepts like confidentiality, integrity, and availability is a major challenge owing to the loose coupling of the vendors, the service providers, and the end subscribers in a CPS chain. The design of an advanced CPS, integration of wireless sensor-actuator networks, belonging to independent stakeholders, is of utmost importance. Communication links, in such complex, heterogeneous systems, must meet stringent requirements concerning range, latency and throughput, while adhering to the constrained energy budget, and providing high levels of security. However, CPSs possess additional features that provide opportunities to adversaries that can cause havoc without corrupting or stealing the data. Simply varying the timing of key computations is enough to bring the system to a halt. Note that, for example, false data insertion to the control system may lead to destructive actions in plants. Cyberattacks might include manipulation of data, data theft, or denial of service. Cyber-based attack may cause damage to critical infrastructures that might significantly impact the economy, national security, and the safety and livelihood of many individual citizens. Great strides have been made in CPSs to improve the computing mechanisms, communication and quality of service, by applying optimization algorithms. Currently, these efforts are integrated with the applications of Machine Learning and Artificial Intelligence. Moreover, owing to its deployment in harsh environmental conditions, the consensus problem in these CPSs is a major concern and heavily affects the performance of consensus-based applications, such as blockchain, event detection, etc. Also, large number of existing IoT ecosystems utilize centralized servers and, therefore, face the single point failure problem. In this context, blockchain-based techniques propose privacy preserving models, capable of evading the single point failure problem and centralized trust issue. The goal of the proposed book is to foster transformative, multidisciplinary and novel approaches that ensure the CPSs security, by taking into consideration unique security challenges present in the environment. This book will attract contributions in all aspects pertaining to this multidisciplinary paradigm. Contributing authors will be expected to investigate state-of-the-art achievements, applications and research issues in the field of, broadly understood, security paradigms for CPS. The resulting book will provide comprehensive reviews of cutting?edge state-of-the-art algorithms, technologies, and applications, providing new insights into a range of fundamentally important topics in security and privacy of CPSs. Topics of interest include, but not limited to: Threat Identification and Modeling for Cyber-Physical Systems - Foundations of data security and privacy in CPSs - Vulnerability analysis and assessments for CPSs - Attacks and vulnerabilities detection in WSNs - Risk assessments and identification strategies - Human aspects in CPSs security and privacy - Attack pattern detection and prediction - Internet of Things (IoT) security threats - Industrial Control Systems threats Security and Privacy Defense Mechanisms for Cyber-Physical Systems - CPS resilience - Architecture and frameworks for securing CPSs - Authentication and access control in CPSs - Cryptography and wireless security - Machine learning for fostering security in CPSs - Blockchains and their applications - Secure IoT Communication using blockchain - Socio-technical defenses for security and privacy - Smart IDS and IPS designed for different CPSs ? Publication Schedule: The tentative schedule of the book publication is as follows: - Deadline for chapter proposal submission:?October 01, 2019 - Author notification for chapter proposal:?October 15, 2019 - Deadline for full chapter submission:?April 15, 2020 - Author notification:?June 01, 2020 - Camera-ready submission:?July 15, 2020 - Planned publication schedule:?Fourth quarter of 2020 ? Submission Procedure: Authors are invited to submit original, high quality, unpublished results of A Cyber-Physical System (CPS) security and privacy. Submitted manuscripts should conform to the author?s guidelines of the Springer's chapter format mentioned in the right panel of the Studies in Systems, Decision and Control (SSDC) homepage?(Link). Submitted chapters should be prepared using Latex or Microsoft Word, and according to the Springer's chapter templates that can be downloaded from the aforementioned website. Prospective authors need to electronically submit their contributions using EasyChair submission system?(Link). Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance. The accepted contributions will be published as a volume in the prestigious "Studies in Systems, Decision and Control" series by Springer. More information about the "Studies in Systems, Decision and Control" series and the author instructions can be found in the?(Link). Indexing: For details on indexing of the series, please refer to SSDC website?(Link). ? Volume Editors: Dr.: Ali Ismail Awad?(ResearchGate,?Google Scholar) Department of Computer Science, Electrical and Space Engineering Lule? University of Technology Lule?, Sweden E-mail: ali.awad[at]ltu.se ? Prof.: Steven Furnell?(ResearchGate,?Google Scholar) Faculty of Science and Engineering University of Plymouth Plymouth, United Kingdom E-mail: S.Furnell[at]plymouth.ac.uk ? Dr.: Marcin Paprzycki?(ResearchGate,?Google Scholar) Systems Research Institute Polish Academy of Sciences Warszawa, Poland E-mail: paprzyck[at]ibspan.waw.pl ? Prof.: Sudhir Kumar Sharma?(Google Scholar) Institute of Information Technology and Management New Delhi, India E-mail: sharmasudhir08[at]gmail.com======================================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From caspar.schwiedrzik at googlemail.com Sun Sep 15 03:38:34 2019 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Sun, 15 Sep 2019 09:38:34 +0200 Subject: Connectionists: =?utf-8?q?The_European_Neuroscience_Institute_in_?= =?utf-8?q?G=C3=B6ttingen_=28ENI-G=29_Germany_announces_positions_f?= =?utf-8?q?or_Group_Leaders_=28m/f/d=29?= Message-ID: The European Neuroscience Institute in G?ttingen (ENI-G) Germany announces positions for Group Leaders (m/f/d) - Limitation: fixed-term - Working period: full-time - Tariff: salary according to TV-L - Announcement published on 10.09.2019 - Vacancy from 01.05.2020 - Application deadline: 10.11.2019 *About us:* The ENI-G, a joint initiative between the University Medical Center G?ttingen and the Max-Planck-Society, provides an exceptional environment for excellent young researchers in the neurosciences. *We seek:* Applicants with an outstanding record of research in neuroscience, also including excitable cells in general. Topics range from molecular and cellular physiology, neuronal circuit analysis, imaging (at all scales), to computational and cognitive neuroscience, with emphasis on health and disease. Current work at the ENI-G focuses on physiology, sensory processing and plasticity in multiple species, from invertebrates to humans. Research that complements these already established topics at the ENI-G is also welcome. *We offer:* Group leaders a maximal amount of independence while also providing the support necessary to build up a new research program. ENI-G will provide office and laboratory space as well as a generous start-up. State of the art equipment, including dedicated microscopy infrastructure, animal facilities, a precision workshop, IT and administrative support are available in house. Unparalleled opportunities for scientific collaboration and interaction exist within the G?ttingen Research Campus, including the University of G?ttingen and its Medical School, three Max Planck Institutes (Biophysical Chemistry, Experimental Medicine, and Dynamics and Self Organization), the German Primate Center and the Bernstein Center for Computational Neuroscience. We will work closely with the recently established Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells ( https://www.uni-goettingen.de/en/579892.html)" as well as the newly starting Heart and Brain Center G?ttingen. In addition to the excellent research environment that ENI-G provides, its independent group leaders can benefit from the resources and funding opportunities offered by the Collaborative Research Centers (CRC / SFB) within the G?ttingen Neuroscience community. The ENI-G also houses the distinguished graduate program ?IMPRS Neurosciences?, facilitating interactions with excellent students and providing opportunities for teaching. You will have an experienced mentor by your side, receive broad administrative support, professional leadership training, and help with relocation and establishing a life in Germany, including visa application, housing, schooling, and day-care. Successful group leaders will have the opportunity to obtain a permanent position after a two step internal and external evaluation. *We look forward to:* Applications from outstanding researchers who are enthusiastic about pursuing an independent research program in an environment that supports cutting edge research. The successful candidate is expected to develop a vigorous research program with a Ph.D. received within the last five years. Relevant research training and outstanding research reflected by high-impact publications are a prerequisite for consideration. The applicant is expected to acquire competitive third-party funding, and eligibility for ERC Starting Grant / DFG Emmy Noether level funding (or comparable) is a requirement. Details about funding opportunities can be found at http://www.eni-g.de/career/group-leader. Interested candidates should submit their curriculum vitae and record of publications highlighting their 3-5 most significant publications, as well as a research statement (3-5 pages), and a copy of their PhD degree, preferably in one pdf. Application deadline: 10 November 2019. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. We look forward to receiving your application by *10.11.2019*: University Medical Center G?ttingen European Neuroscience Institute G?ttingen Christiane Becker Administration Manager Grisebachstr. 5 37077 G?ttingen Tel.: 0551/39-61300 Fax: 0551/39-61399 E-Mail: c.becker at eni-g.de Web: http://www.eni-g.de/index.php?id=groupleader Also see: https://www.umg.eu/karriere/stellenangebote/stellenanzeigen-detail/?jobId=2860 -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Sun Sep 15 05:56:18 2019 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Sun, 15 Sep 2019 09:56:18 +0000 Subject: Connectionists: EXTENDED DEADLINE: DATA STREAMS TRACK - ACM SAC 2020 (Submission deadline: September 29, 2019) Message-ID: *ACM Symposium on Applied Computing * The 35th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic March 30 ? April 3, 2020 https://www.sigapp.org/sac/sac2020/ *Data Streams Track * https://www.cs.waikato.ac.nz/~abifet/SAC2020/ *Call for Papers * The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions. *TOPICS OF INTEREST * We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to: * Real-Time Analytics * Big Data Mining * Data Stream Models * Large Scale Machine Learning * Languages for Stream Query * Continuous Queries * Clustering from Data Streams * Decision Trees from Data Streams * Association Rules from Data Streams * Decision Rules from Data Streams * Bayesian Networks from Data Streams * Neural Networks for Data Streams * Feature Selection from Data Streams * Visualization Techniques for Data Streams * Incremental on-line Learning Algorithms * Single-Pass Algorithms * Temporal, spatial, and spatio-temporal data mining * Scalable Algorithms * Real-Time and Real-World Applications using Stream data * Distributed and Social Stream Mining * Urban Computing, Smart Cities * Internet of Things (IoT) *IMPORTANT DATES (NEW!) * 1. Submission deadline: September 15 -> September 29 2. Notification deadline: November 10 -> November 24 3. Camera-ready deadline: November 25 -> December 9 *PAPER SUBMISSION GUIDELINES * Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper format for a number of document preparation systems at: http://www.acm.org/sigs/pubs/proceed/template.html Important notice: 1. Please submit your contribution via SAC 2020 Webpage. 2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library. If you encounter any problems with your submission, please contact the Program Coordinator. Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From jconradt at kth.se Mon Sep 16 04:24:52 2019 From: jconradt at kth.se (=?utf-8?B?SsO2cmcgQ29ucmFkdA==?=) Date: Mon, 16 Sep 2019 08:24:52 +0000 Subject: Connectionists: [jobs] Ph.D. positions in Neuromorphic Hardware and Robotics at KTH Stockholm Message-ID: Here a call for open Ph.D. positions in Neuromorphic Hardware and Robotics (algorithms and systems), exact project flexible. Application deadline September 26. https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:287447 Would you know of anyone interested? Please forward. Any information needed? Please inquire informally by brief email. Information on our work here (?old and somewhat outdated? pages from my former group): http://tum.neurocomputing.systems/en/research/index.html Thank you! I am very much looking forward to increasing the group at KTH. J?rg J?rg Conradt Prof. Dr. KTH Royal Institute of Technology Computational Science and Technology School of Electrical Engineering and Computer Science Lindstedtsv?gen 5, SE-114 28 Stockholm, Sweden Phone: +46-8-790 6231 Email: conr at kth.se, Web: www.kth.se -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Mon Sep 16 08:07:10 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 16 Sep 2019 14:07:10 +0200 Subject: Connectionists: [CfP] Welcome to ISWC 2019 Message-ID: 18th International Semantic Web Conference (ISWC 2019) ?Knowledge Graphs, Linked Data, Linked Schemas and AI on the Web? Auckland, New Zealand, 26-30 October, 2019 https://iswc2019.semanticweb.org/ The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. ISWC attracts a large number of high quality submissions every year and participants from both industry and academia. ISWC brings together researchers from different areas, such as artificial intelligence, databases, natural language processing, information systems, human computer interaction, information retrieval, web science, etc., who investigate, develop and use novel methods and technologies for accessing, interpreting and using information on the Web in a more effective way. Follow us: Twitter: @iswc_conf , #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/groups/13612370 Facebook: https://www.facebook.com/ISWConf/ Become part of rich and diverse activities: Program: https://iswc2019.semanticweb.org/program-conf/ Keynote Talks: - For knowledge byJ?r?me Euzenat https://iswc2019.semanticweb.org/keynote-euzenat/ - Extracting Knowledge from the Data Deluge to Reveal the Mysteries of the Universe by Melanie Johnston-Hollitt https://iswc2019.semanticweb.org/keynote-melanie/ - Semantics: the business technology disruptor of the future by Dougal Watt https://iswc2019.semanticweb.org/keynote-dougal/ Panel: How much semantics goes how long a way? https://iswc2019.semanticweb.org/panel/ Workshops: https://iswc2019.semanticweb.org/program-workshop/ Tutorials: https://iswc2019.semanticweb.org/tutorials/ Challenges: https://iswc2019.semanticweb.org/challenges/ Don?t forget to register: https://iswc2019.semanticweb.org/registration/ See you all in Auckland! The ISWC 2019 Organising Team ( https://iswc2019.semanticweb.org/organizing-committee/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From sabu.thampi at iiitmk.ac.in Mon Sep 16 12:37:18 2019 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Mon, 16 Sep 2019 22:07:18 +0530 Subject: Connectionists: Call for Tutorial Proposals @ CoCoNet 2019 Message-ID: CALL FOR TUTORIAL PROPOSALS The Third International Conference on Computing and Network Communications (CoCoNet'19) will be held in Trivandrum, Kerala, India on December 18-21, 2019. The conference website is http://coconet-conference.org/2019/. The Organising Committee solicits proposals for tutorials for presentation at the conference. Topics of the proposed tutorials should be aligned with the topics in the call for papers for the main conference. Proposals must provide an in-depth survey of the chosen topic with the option of describing a particular piece of work in detail. A meaningful summary of open issues in the topic should be included. Proposals should be submitted no later than September 30, 2019, as a single PDF file containing the following information: -- Title of the tutorial -- Abstract -- Outline including a short summary of every section -- Length of the tutorial: Half-day -- Intended audience -- Specific goals and objectives -- Prior history of the tutorial presentations -- A biographical sketch of the presenter(s) -- List of THREE top publications of the Presenters in the area -- Audio Visual equipment needed for the presentation -- Presenter's name, affiliation, address, email, phone, and fax -- and other information that helps us to decide the best proposals Proposals will be evaluated by a committee and voted upon based on merit and relevance. Organizers of the accepted tutorials will receive one free registration to their tutorial. Local support (travel and accommodation) including necessary logistics support will be provided to all the speakers. An honorarium will also be paid. Please note that no separate fee will be collected by the conference from the delegates to attend the tutorial sessions. Important Deadlines --------------------- Tutorial Proposals Due: September 30, 2019 Notification of Accepted Proposals: October 10, 2019 Final Tutorial Outline (for website): October 31, 2019 Please send a whole copy of your proposal in PDF format as an email attachment (email: coconet.conference at gmail.com) with subject "Submission of CoCoNet 2019 Tutorial proposal: XXX", where XXX should be replaced with the title of the proposal. -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.strisciuglio at rug.nl Mon Sep 16 13:45:27 2019 From: n.strisciuglio at rug.nl (Nicola Strisciuglio) Date: Mon, 16 Sep 2019 19:45:27 +0200 Subject: Connectionists: [CFP] APPIS 2020 in Las Palmas de Gran Canaria, Spain, 7-12 January 2020 Message-ID: <8b6d9054-e074-20c4-4aa3-ad160ab271e4@rug.nl> The 3rd International Conference on Applications of Intelligent Systems, *APPIS 2020* will be held on *7-12 January 2020* in *Las Palmas de Gran Canaria*, Spain. APPIS 2020 is organized by the University of Groningen and the University of Las Palmas de Gran Canaria, and includes a *Winter School on Machine Learning (WISMAL 2020)*. APPIS 2020 welcomes (but is not limited to) contributions related to the following topics: ??? Images, videos and time-series analysis ??? Machine learning and representation learning ??? Statistical and structural pattern recognition ??? Data visualization and dimensionality reduction ??? Robotics ??? Intelligent systems in health and medicine ??? Cyber computing and security ??? Bio-informatics ??? Data mining ??? Cognitive discovery ??? Algorithms for embedded and real-time systems ??? Semantic technologies ??? Intelligent buildings ??? Intelligent sensors and sensor networks ??? Augmented reality ??? Adaptive systems ??? Fuzzy systems ??? Human-machine interaction ??? Natural language processing ??? Situation awareness systems ??? Recommender systems ============================================================= Conference proceedings will be published by *ACM International Conference Proceedings Series.* The registration fee includes paper publication in the proceedings, conference materials, tutorials, conference dinner, welcome reception, another social event (a guided tour of old town Las Palmas or a visit to the only coffee plantage in the EU) and daily coffee breaks. The prices are: ??? Early registration: *250 Euro* ??? Late registration: *325 Euro* The costs for each additional paper are *100 Euro. *=============================================================| *Winter School on Machine Learning - WISMAL 2020* APPIS includes a short winter school consists of several tutorials that present different techniques of Machine Learning. Please find more information at the WISMAL 2020 page . The participation in the winter school is free of charge for registered participants in APPIS 2020. The number of participants in the winter school is limited to 100 and early registration is encouraged. ============================================================= Paper submission ? *Oct 4, 2019* Paper acceptance notification ? *Nov 15, 2019* Early registration ? *Dec 13, 2020* Camera ready ? *Dec 13, 2019 *Full paper due (abstract extension) - *Dec 20, 2019** * Conference ? *7-9 Jan 2020* Winter school on Machine learning ? *10-12 Jan 2020 *Please find more information on the conference website .* *the conference co-chairs /Nicolai Petkov// //Nicola Strisciuglio// //Carlos Travieso-Gonzalez// / -------------- next part -------------- An HTML attachment was scrubbed... URL: From andre.gruening at hochschule-stralsund.de Tue Sep 17 04:49:49 2019 From: andre.gruening at hochschule-stralsund.de (=?UTF-8?B?QW5kcsOpIEdyw7xuaW5n?=) Date: Tue, 17 Sep 2019 10:49:49 +0200 Subject: Connectionists: =?utf-8?q?Research_Assistant=E2=80=AFin_Learning_?= =?utf-8?q?Algorithms_for_Neuromorphic_Computing_at_the_University_of_Appl?= =?utf-8?q?ied_Sciences_Stralsund_on_the_shores_of_the_Baltic_Sea=2E?= Message-ID: <20190917104949.41d46d18.andre.gruening@hochschule-stralsund.de> In the lab of Prof Gruening and within the EU-funded research project "The Human Brain Project"?we are offering a fixed-term post until 31/03/2020 with the perspective of a further extension subject to continued project funding. The formal job ad can be found at https://www.hochschule-stralsund.de/host/aktuelles/stellenangebote/ (in German only), but feel free to contact me informally in person and in English at . You will be working in the area of artificial intelligence based on neuromorphic hardware. Neuromorphic hardware is a modern and active area of research with the aim to design devices for artificial intelligence that are based on the spike-based operation of biological nervous systems. The energy consumption of such systems for example promises to be an order of magnitude less than classical AI systems. Neuromorphic systems are being developed within academic research as well as in industry.? The work will be carried out in close cooperation with Dr J Schemmel (University Heidelberg) and Prof Steve Furber (University of Manchester, one of the co-inventors of the ARM processor). Your job responsibilities include the following: - Contribution to and cooperation within the international framework of the EU/H2020 Flagship project ?The Human Brain Project?, see in the area described above. - The development, implementation and evaluation of learning rules for artificial neural networks on neuromorphic hardware.? - Project management?including financial reporting.? We expect from you:? - A good MSc degree or a PhD in a relevant area, for example computer science, mathematics, physics, cognitive and neuroscience or engineering.? - Programming experience, for example Python, C, C++. Experience with embedded systems is a plus.? - Expertise in the area of neuronal networks. - Keen interest to familiarise yourself with the neuroscientific foundations of the project. - Solid mathematical expertise. - Experience with Unix-like operating systems.? - Experience in the write up of scientific reports and publications. Experience with LaTeX is a plus.? - Experience in presenting research results.? - A conscientious, independent and self-motivated attitude towards work.? We offer: - A diverse, interesting and challenging job at an innovative, modern and family friendly institution in the lively world-heritage and Hanseatic town of Stralsund. - The opportunity to pursue a PhD where applicable. - A work contract subject to the collective labour agreement of the public service of the German federal states (TB-L). - Remuneration up to pay grade 13 subject to personal and collective qualifying conditions. - 38 hrs/week; part-time and flexible work is possible. The University of Applied Science Stralsund is keen to increase the proportion of female employees in all areas where they are underrepresented. We therefore expressly invite qualified women to apply. As a certified family-friendly institution we support actions to reconcile family and job. Childcare can be arranged for a potential future interview. At an equal level of professional aptitude, applicants with recognised disabilities or equivalent (please provide evidence) will be preferred. For details of the job description, please contact Prof Andr? Gr?ning (E-Mail: andre.gruening at hochschule-stralsund.de).? According to ?68 Abs 3 PersVG M-V, the Employee Committee (Personalrat) gets involved into HR matters for research staff only on the candidate?s request. If desired, please include such request in free form in your application documents. Please send your job application with all relevant documents in a single pdf file to?? - bewerbungpersonal at hochschule-stralsund.de or by mail to - Hochschule Stralsund Vertrauliche Personalangelegenheit Dezernat Personal, Haushalt und Controlling Zur Schwedenschanze 15 18435 Stralsund Germany on or before the deadline of 06.10.2019.? The protection of your personal data is very important to us. We will therefore collect, process and utilise any data arising in the application process only in line with the applicable data protection regulations.? As application documents cannot be returned, please submit copies only. The University of Applied Sciences Stralsund does not cover any application expense. -- Prof. Dr. Andr? Gr?ning -- Mathematik und K?nstliche Intelligenz Fakult?t Elektrotechnik und Informatik Hochschule Stralsund -- Mathematics and Computational Intelligence Faculty of Electrical Engineering and Computer Science University of Applied Sciences Stralsund -- 18435 Stralsund Deutschland/Germany -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: application/pgp-signature Size: 488 bytes Desc: OpenPGP digital signature URL: From somidshafiei at google.com Tue Sep 17 03:51:25 2019 From: somidshafiei at google.com (Shayegan Omidshafiei) Date: Tue, 17 Sep 2019 09:51:25 +0200 Subject: Connectionists: Call for Papers: AAAI Spring Symposium on Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL) Message-ID: AAAI Spring Symposium on Challenges and Opportunities for Multi-Agent Reinforcement Learning (COMARL) March 23-25 2020, Stanford University in Palo Alto, California, USA. https://sites.google.com/corp/view/comarl-aaai-2020/ Key Dates: Submission: Submission: November 1st, 2019, 23:59 GMT Notification: December 6th, 2019 Symposium: March 23-25 2020 Call for position papers to define a topic of study at the symposium: We live in a multi-agent world and to be successful in that world intelligent agents will need to learn to take into account the agency of others. They will need to compete in market places, cooperate in teams, communicate with others, coordinate their plans, and negotiate outcomes. Examples include self-driving cars interacting in traffic, personal assistants acting on behalf of humans and negotiating with other agents, swarms of unmanned aerial vehicles, financial trading systems, robotic teams, and household robots. There has been a lot of great work on multi-agent reinforcement learning (MARL) in the past decade, but significant challenges remain, including: - the difficulty of learning an optimal model/policy from a partial signal, - learning to cooperate/compete in non-stationary environments with distributed, simultaneously learning agents, - the interplay between abstraction and influence of other agents, - the exploration vs. exploitation dilemma, - the scalability and effectiveness of learning algorithms, - avoiding social dilemmas, and - learning emergent communication. The purpose of this symposium is to bring together researchers in multiagent reinforcement learning, but also more widely machine learning and multiagent systems, to explore some of these and other challenges in more detail. The main goal is to broaden the scope of MARL research and to address the fundamental issues that hinder the applicability of MARL for solving complex real world problems. We aim to organize an active workshop, with many interactive (brainstorm/breakout) sessions. We are hopeful that this will form the basis for ongoing collaborations on these challenges between the attendants and we aim for several position papers as concrete outcomes. Authors can submit papers of 1-4 pages that will be reviewed by the organizing committee. We are looking for position papers that present a challenge or opportunity for MARL research, which should be on a topic the authors not only wish to interact on but also ?work? on with other participants during the symposium. We also welcome (preliminary) research papers that describe new perspectives to dealing with MARL challenges, but we are not looking for summaries of current research---papers should clearly state some limitation(s) of current methods and potential ways these could be overcome. Submissions will be handled through easychair. Organizing Committee: Christopher Amato, Northeastern University Frans Oliehoek, Delft University of Technology Shayegan Omidshafiei, Google DeepMind Karl Tuyls, Google DeepMind -------------- next part -------------- An HTML attachment was scrubbed... URL: From marieke.scholvinck at esi-frankfurt.de Tue Sep 17 05:59:34 2019 From: marieke.scholvinck at esi-frankfurt.de (Scholvinck, Marieke) Date: Tue, 17 Sep 2019 09:59:34 +0000 Subject: Connectionists: Postdoc position in monkey electrophysiology at Ernst Strungmann Institute (Frankfurt, Germany) Message-ID: We are hiring! We are looking for an enthusiastic postdoctoral researcher to lead the monkey work of the Zero-Noise Lab at the Ernst Str?ngmann Institute for Neuroscience in Frankfurt, Germany. The position The Zero-Noise Lab investigates how neuronal population activity unfolds in real time during naturalistic behaviour, and how this compares between mouse and monkey. To this end, we conduct chronic electrophysiological recordings in the visual cortex of macaques and mice, while they are engaged in the same, naturalistic foraging task in a virtual environment. The lab is jointly headed by Marieke Sch?lvinck and Martha Nari Havenith, and funded by the Max Planck Society. In the lab, postdocs and PhD students focus on experiments in either mouse or monkey, but intensely work together to ensure that we constantly align and mutually learn from experiments across species. We are now looking for a postdoc to lead the monkey side of the lab, while developing their own ideas and research interests. Ideally, we would like you to start in spring 2020. The appointment is for three years initially, with the possibility of extension by another two years; the salary is in accordance with the regulations for academic personnel. You If you (are about to) hold a Ph.D., have experience with electrophysiological recordings in awake animals, and are eager to work in an interdisciplinary lab with multiple model species, we would love to hear from you! Additional skills that would be extremely valuable: - Programming skills (Matlab and/or Python) - Technical skills to build up an electrophysiology set-up - Experience with behavioural training How to apply If you're interested and for more information about the job, please send an email to Marieke (marieke.scholvinck at esi-frankfurt.de) and Martha (marthanari.havenith at gmail.com) before November 1, 2019. In your email, please explain your background, what you expect from your postdoc, and why you want to join us in Frankfurt. The application remains open until the position is filled. We look forward to hearing from you! Martha and Marieke -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonior at usp.br Tue Sep 17 23:40:06 2019 From: antonior at usp.br (Antonio Roque) Date: Wed, 18 Sep 2019 00:40:06 -0300 Subject: Connectionists: LASCON 2020 - VIII Latin American School on Computational Neuroscience (Call for applications) Message-ID: **** Apologies for cross-posting **** VIII Latin American School on Computational Neuroscience - LASCON 2020 January 6-31, 2020, University of Sao Paulo, Sao Paulo, Brazil www.sisne.org/lascon LASCON Video APPLICATION DEADLINE: October 5, 2019 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 8th LASCON, which will take place January 6-31, 2020 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; reduced and simplified single neuron models; networks of biophysical and simplified neuron models; synaptic plasticity and learning; spike train analysis; statistical methods in neuroscience; models of extracellular fields; modeling of brain stimulation; predictive coding; dynamics of neuronal functional connectivity; and 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: Aline Duarte, University of Sao Paulo, Sao Paulo, SP, Brazil Antonio Galves,University of Sao Paulo, Sao Paulo, SP, Brazil Arnd Roth, University College, London, UK Christophe Pouzat, Paris Descartes University, Paris, France Demian Battaglia, Aix-Marseille University, Marseille, France Eli Shlizerman, University of Washington, Seattle, WA, USA Emilio Kropf, Leloir Institute Foundation, Buenos Aires, Argentina Gaute Einevoll, Norwegian University of Life Sciences, As, Norway German Mato, Bariloche Atomic Center, San Carlos de Bariloche, Argentina Horacio Rotstein, New Jersey Institute of Technology, Newark, NJ, USA John Murray, Yale School of Medicine, New Haven, CT, USA Marcelo Reyes, Federal University of ABC, Sao Bernardo do Campo, SP, Brazil Mauricio Girardi-Schappo, University of Sao Paulo, Ribeirao Preto, SP, Brazil Mauro Copelli, Federal University of Pernambuco, Recife, PE, Brazil Renan Shimoura, University of Sao Paulo, Ribeirao Preto, SP, Brazil Risto Ilmoniemi, Aalto University, Espoo, Finland Rodrigo Cofre, University of Valparaiso, Valparaiso, Chile Sacha van Albada, Juelich Research Center, Juelich, 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 October 5, 2019 (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 its airports. 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 2020 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, Antonio 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 usp.br aroquesilva at gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887> -------------- next part -------------- An HTML attachment was scrubbed... URL: From lmuller2 at uwo.ca Wed Sep 18 09:59:06 2019 From: lmuller2 at uwo.ca (Lyle Muller) Date: Wed, 18 Sep 2019 13:59:06 +0000 Subject: Connectionists: PhD position in analysis and modeling dynamics of iPSC-derived network cultures Message-ID: A joint PhD position is available in the labs of Julio Martinez-Trujillo and Lyle Muller at Western University (London, Ontario). The student will analyze data recorded from iPSC-derived neuronal cultures to understand the network mechanisms of neuronal dynamics in health and disease. Research in this project will focus on applying analysis techniques from the dynamics of spiking networks and developing computational models to understand the mechanisms underlying observed activity patterns. Results from the modeling and analysis will be compared to in vivo non-human primate recordings done in the lab of Dr. Martinez-Trujillo. This research will involve in-depth analyses of neural recordings and computational modeling. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and signal processing is preferred. Prior experience with low-level programming languages (C/C++) and high-performance computing environments is also preferred. Western University offers an excellent research environment and support. Candidates can write to lmuller2 at uwo.ca and julio.martinez at robarts.ca with a CV to arrange an interview. Both the involved labs and the University are deeply committed to fostering diversity and scientific outreach. Applications from underrepresented groups are strongly encouraged, and any interested applicants are welcomed to write the PIs directly with questions about the research environment. -- Lyle Muller http://mullerlab.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: From pfister at pyl.unibe.ch Wed Sep 18 09:15:47 2019 From: pfister at pyl.unibe.ch (Jean-Pascal Pfister) Date: Wed, 18 Sep 2019 15:15:47 +0200 Subject: Connectionists: post-doc position at the University of Bern Message-ID: The Department of Physiology, University of Bern, is looking to hire a theoretical and/or computational neuroscientist at the postdoctoral level. A PhD in computational/theoretical neuroscience or a closely related field, along with a desire to work tightly with experimentalists would be strongly recommended. The aim of the project is to (a) propose an experimentally testable theory of predictive coding, (b) derive specific testable predictions at the single cell resolution, (c) test them by analyzing existing experimental data obtained in the Department and (d) propose new experiments than can be conducted in the Department. The specificity of the project is the closed-loop interactions between theory and experiments. The candidate will have access to experimental data acquired within the research groups of Thomas Nevian, Shankar Sachidhanandam and St?phane Ciocchi. These groups focus on cortical function, ranging from sensory perception and predictive processing to emotional state transitions and memory formation in head-fixed and freely moving mice. Supervision will be provided by Prof. Jean-Pascal Pfister of the Theoretical Neuroscience Group, along with close collaboration with the experimental groups. The candidate can further benefit from interactions with members of the computational neuroscience group of Walter Senn specializing in deep learning. Interested candidates can send their application and inquiries via email to pfister at pyl.unibe.ch . The application should include the following as one pdf document: letter of motivation, CV, contact details of 2 references, 1 page research statement covering future research goals and project interests. Deadline for application is the 31st of October 2019 or until the position is filled. --------------------------------- Prof. Jean-Pascal Pfister Department of Physiology University of Bern B?hlplatz 5 3012 Bern, Switzerland and Theoretical Neuroscience Group Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland www.ini.uzh.ch/~jpfister Tel: ++ 41 31 631 87 78 -------------- next part -------------- An HTML attachment was scrubbed... URL: From lmuller2 at uwo.ca Wed Sep 18 09:57:01 2019 From: lmuller2 at uwo.ca (Lyle Muller) Date: Wed, 18 Sep 2019 13:57:01 +0000 Subject: Connectionists: Fields Institute Postdoctoral Fellowship in computational/theoretical neuroscience Message-ID: Applications are invited for a Fields Institute Postdoctoral Fellowship in the lab of Lyle Muller at the Department of Applied Mathematics and the Brain and Mind Institute at Western University (London, Ontario). In collaboration with Laurent Perrinet (INT Marseille), this research will focus on computation with spatiotemporal dynamics in neural networks. The project will use spiking neural networks and machine learning models to understand the role of spatiotemporal dynamics in active vision. Interested candidates can refer to Muller et al., Nature Reviews Neuroscience 19, 2018 for further details. This work will utilize a combination of large-scale numerical simulations and analytical approaches. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and low-level programming (C/C++) is preferred. Prior experience with computational modeling, dynamical systems, and random graph theory is also preferred. Western University offers an excellent research environment and support. Candidates can write to lmuller2 at uwo.ca with a CV to arrange an interview. Both our group and the University are deeply committed to fostering diversity in the sciences. Applications from underrepresented groups are strongly encouraged, and any interested applicants can write the PI (lmuller2 at uwo.ca) directly with questions about the research environment. -- Lyle Muller http://mullerlab.ca -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Inel at tudelft.nl Thu Sep 19 05:24:46 2019 From: O.Inel at tudelft.nl (Oana Inel) Date: Thu, 19 Sep 2019 09:24:46 +0000 Subject: Connectionists: Fourth CfP ACM Intelligent User Interfaces - IUI 2020, Cagliari, Italy Message-ID: <127073_1568885099_x8J9Ot9W130885_A0DBE8D6-2A71-41EC-B7E0-A24B78183D74@tudelft.nl> * We apologize if you receive multiple copies of this CfP * # ACM IUI 2020: Call for Papers * Cagliari, Italy * March 17-20, 2020 * http://iui.acm.org/2020/ * Contact: program2020 at iui.acm.org ## Upcoming deadlines Abstract: Oct 1, 2019 (compulsory) Paper submission: Oct 8, 2019 ## ACM IUI 2020 ACM IUI 2020 is the 25th annual premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) and the Artificial Intelligence (AI) communities meet, with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is to improve the interaction between humans and digital technology, by leveraging both HCI approaches and state-of-the art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. ### Why you should submit to ACM IUI While other conferences focus on either the AI or HCI side of this research, we address the complex interaction between the two. We strongly encourage submissions that simultaneously discuss research from both HCI and AI. We also welcome works that focus more on one side or the other, but still highlight the connections between the two. We value papers that contribute to the methodology or theory for evaluation of intelligent user interfaces. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contributions. ACM IUI welcomes contribution from all relevant arenas, academia, industry, government, and non-profit organizations, and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. The conference is large enough to be diverse and lively, but small enough to allow for extensive interaction among attendees and easy attendance to the events that the conference offers, ranging from oral paper presentations, poster sessions, workshops, panels and doctoral consortium for graduate students. ## Papers We accept two forms of contributions: long and short papers. They should both make novel contributions to IUI, however - long papers should make more substantial and significant contributions. - short papers can contain more preliminary and focused contributions. Accepted papers will appear in the ACM Digital Library and citation indices. A selected set of accepted top quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS, http://tiis.acm.org) special issue titled "Highlights of IUI 2020". ## Topics IUI topics of interest include, but are not limited to: * Application areas * Education and learning-related technologies * Health and intelligent health technologies * Assistive technologies * Social media technologies * Artificial personal assistants * Information retrieval, search, and recommendation system * Interface types * Affective and aesthetic interfaces * Collaborative interfaces * Intelligent wearable and mobile interfaces * Ubiquitous smart environments * Modalities * Agent based interfaces (e.g., embodied agents) * Multi-modal interfaces (speech, gestures, eye gaze, face, physiological information etc.) * Conversational interfaces * Tangible interfaces * Intelligent visualization * Methods and approaches * Methods for explanations (e.g., transparency, control, and trust ) * Persuasive technologies in IUI * Planning and plan recognition for IUI * Knowledge-based approaches to user interface design and generation * User Modelling for Intelligent Interfaces * User-Adaptive interaction and personalization * Crowd computing and human computation * Human-in-the loop machine learning * Evaluations of intelligent user interfaces * Reproducibility * Meta-analysis * Mixed-methods evaluations ## Dates * Oct 1, 2019: Abstract deadline (compulsory) * Oct 8, 2019: Papers deadline * Dec 12, 2019: Notification * Jan 17, 2020: Camera ready due * Mar 17, 2020: Conference starts ## Submission - Full and Short Papers We invite original paper submissions that describe novel user interfaces, applications, interactive and intelligent technologies, empirical studies, or design techniques. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contribution. Accepted papers will appear in the ACM Digital Library and citation indices. A selected set of accepted top quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS, http://tiis.acm.org) special issue titled "Highlights of IUI 2020". ### Submission Guidelines * Full paper (anonymized 10 pages, references do not count toward the page limit) should make substantial, novel, and relevant contribution to the field. * Short paper (anonymized 4 pages, references do not count toward the page limit) is a much more focused and succinct contribution to the field. Short papers are not expected to include a discussion of related work that is as broad and complete as that of Full papers. * Anonymization: ACM IUI uses a double-blind review process. All submissions must be appropriately anonymized according to the following guidelines: * Author?s names and affiliations are not visible anywhere in the paper. * Acknowledgements should be anonymized or removed during the review process. * Self-citations should be included where necessary, but must use the third person. For example, "... as shown in our previous user study [2] ... " is not allowed, whereas "... as shown in Smith et al. [2] " is acceptable (because in this case the citation [2] will NOT be perceived as self-citation). * Failure to follow these guidelines may result in submissions being rejected without review. * Authors should also be aware of the SIGCHI Policy for Submission and Review at SIGCHI Conferences (https://sigchi.org/about/sigchi-policies/conference-policies/submission-and-review/) * Submissions should follow the standard sigconf format, using one of the Interim ACM templates available at http://www.acm.org/publications/article-templates/proceedings-template.html: ** LaTex Template for Papers (https://www.acm.org/binaries/content/assets/publications/consolidated-tex-template/acmart-master.zip) ** Microsoft Word Template for Papers (https://www.acm.org/binaries/content/assets/publications/word_style/interim-template-style/interim-layout-.docx) * Authors are required to include a proper classification for the paper according to the ACM Classification System (CCS). Additional information on how to use it is available at: http://dl.acm.org/ccs/ccs.cfm Accepted full papers will be invited for oral presentation. Accepted short papers will be invited either as oral or poster presentation, depending on the nature and quality of the paper. #### Please note: ACM IUI 2020 is using what is called PCS 2.0 (https://new.precisionconference.com) for paper submissions. To aid SIGCHI in the process of paper submission and management, this system and hence its interface is still in development. You are encouraged to report PCS 2.0 problems or to make interface suggestions to support at precisionconference.com ## Chairs * Cristina Conati, University of British Columbia, Canada * Davide Spano, University of Cagliari, Italy * Nava Tintarev, University of Delft, Netherlands * Contact: program2020 at iui.acm.org From ariel.9arcia at gmail.com Thu Sep 19 17:04:00 2019 From: ariel.9arcia at gmail.com (Ariel Ruiz-Garcia) Date: Thu, 19 Sep 2019 22:04:00 +0100 Subject: Connectionists: CFP[deadline reminder]: Neural Networks journal special issue on GANs Message-ID: *TL;DR ? CFP*: Neural Networks journal special issue on GANs *GUEST EDITORS*: Ariel Ruiz-Garcia, J?rgen Schmidhuber, Vasile Palade, Clive Cheong Took, Danilo Mandic *SUBMISSION DEADLINE*: 30th September 2019 ---------------------------------- *CALL FOR PAPERS[deadline reminder]*: Neural Networks Journal *Special Issue on Deep Neural Network Representation and Generative Adversarial Learning* Generative Adversarial Networks (GANs) have proven to be efficient systems for data generation. Their success is achieved by exploiting a minimax learning concept, which has proved to be an effective paradigm in earlier works, such as predictability minimization, in which two networks compete with each other during the learning process. One of the main advantages of GANs over other deep learning methods is their ability to generate new data from noise, as well as their ability to virtually imitate any data distribution. However, generating realistic data using GANs remains a challenge, particularly when specific features are required; for example, constraining the latent aggregate distribution space does not guarantee that the generator will produce an image with a specific attribute. On the other hand, new advancements in deep representation learning (RL) can help improve the learning process in Generative Adversarial Learning (GAL). For instance, RL can help address issues such as dataset bias and network co-adaptation, and identify a set of features that are best suited for a given task. Despite their obvious advantages and their application to a wide range of domains, GANs have yet to overcome several challenges. They often fail to converge and are very sensitive to parameter and hyper-parameter initialization. Simultaneous learning of a generator and a discriminator network often results in overfitting. Moreover, the generator model is prone to mode collapse, which results in failure to generate data with several variations. Accordingly, new theoretical methods in deep RL and GAL are required to improve the learning process and generalization performance of GANs, as well as to yield new insights into how GANs learn data distributions. This special issue on Deep Neural Network Representation and Generative Adversarial Learning invites researchers and practitioners to present novel contributions addressing theoretical and practical aspects of deep representation and generative adversarial learning. The special issue will feature a collection of high quality theoretical articles for improving the learning process and the generalization of generative neural networks. State-of-the-art applications based on deep generative adversarial networks are also very welcome. Topics of interest for this special issue include, but are not limited to: Representation learning methods and theory; Adversarial representation learning for domain adaptation; Network interpretability in adversarial learning; Adversarial feature learning; RL and GAL for data augmentation and class imbalance; New GAN models and new GAN learning criteria; RL and GAL in classification; Adversarial reinforcement learning; GANs for noise reduction; Recurrent GAN models; GANs for imitation learning; GANs for image segmentation and image completion; GANs for image super-resolution; GANs for speech and audio processing GANs for object detection; GANs for Internet of Things; RL and GANs for image and video synthesis; RL and GANs for speech and audio synthesis; RL and GANs for text to audio or text to image synthesis; RL and GANs for inpainting and sketch to image; RL and GAL in neural machine translation; RL and GANs in other application domains. *Important Dates:* 30 September 2019 ? Submission deadline 31 December 2019 ? First decision notification 28 February 2020 ? Revised version deadline 30 April 2020 ? Final decision notification July 2020 ? Publication *Guest Editors:* Dr Ariel Ruiz-Garcia Coventry University, UK Email: ariel.9arcia at gmail.com Professor J?rgen Schmidhuber NNAISENSE, Swiss AI Lab IDSIA, USI & SUPSI, Switzerland Email: juergen at idsia.ch Dr Vasile Palade Coventry University, UK Email: vasile.palade at coventry.ac.uk Dr Clive Cheong Took Royal Holloway (University of London), UK Email: Clive.CheongTook at rhul.ac.uk Professor Danilo Mandic Imperial College London, UK Email: d.mandic at imperial.ac.uk *Submission Procedure:* Prospective authors should follow the standard author instructions for Neural Networks, and submit manuscripts online at http://ees.elsevier.com/neunet/. Authors should select ?VSI:RL and GANs? when they reach the ?Article Type? step and the "Request Editor" step in the submission process. For any questions related to the special issue please email Dr Ariel Ruiz-Garcia (ariel.9arcia at gmail.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ariel.9arcia at gmail.com Thu Sep 19 17:06:32 2019 From: ariel.9arcia at gmail.com (Ariel Ruiz-Garcia) Date: Thu, 19 Sep 2019 22:06:32 +0100 Subject: Connectionists: CFP[final reminder]: IEEE TNNLS Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health Message-ID: *<>* *Call for Papers:* IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (*IF 11.683*) *Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health* *IMPORTANT DATES* 30 September 2019 ? Deadline for manuscript submission 31 December 2019 ? Reviewer?s comments to authors 28 February 2020 ? Submission of revised papers 30 April 2020 ? Final decision of acceptance May-June 2020 ? Tentative publication date * AIMS AND SCOPE:* Deep neural networks (DNNs) are one of the most efficient learning systems. However, determining how to best learn a set of data representations that are ideal for a given task remains a challenge. Representation and Transfer Learning (RTL) can facilitate the learning of complex data representations by improving the generalization performance of DNNs, and by taking advantage of features learned by a model in a source domain, and adapting the model to a new domain. Nonetheless, contemporary theory in RTL is unable to deal with issues, such as: the inherent trade-off between retaining too much information from the input and learning universal features; limited data or changes in the joint distribution of the input features and output labels in the target domain; dataset bias, among others. Therefore, new theoretical mechanisms and algorithms are required to improve the performance and learning process of DNNs. Smart and Connected Health (SCH), an emerging and complex domain, can benefit from new advancements in RTL. For instance, RTL can overcome the limitations imposed by the lack of labelled data in SCH by (i) training a model to learn universal data representations on larger corpora in a different domain, and then adapting the model for use in a SCH context, or (ii) by using RTL in conjunction with generative neural networks to generate new healthcare-related data. Nonetheless, the use of RTL in designing SCH applications requires overcoming problems such as rejection of unrelated information, dataset bias or neural network co-adaptation. This special issue invites novel contributions addressing theoretical aspects of representation and transfer learning and theoretical work aimed to improve the generalization performance of deep models, as well as new theory attempting to explain and interpret both concepts. State-of-the-art works on applying RTL for developing smart and connected health intelligent systems are also welcomed. Topics of interest for this special issue include but are not limited to: *Theoretical Methods:* ? Distributed representation learning; ? Transfer learning; ? Invariant feature learning; ? Domain adaptation; ? Neural network interpretability theory; ? Deep neural networks; ? Deep reinforcement learning; ? Imitation learning; ? Continuous domain adaptation learning; ? Optimization and learning algorithms for DNNs; ? Zero and one-shot learning; ? Domain invariant learning; ? RTL in generative and adversarial learning; ? Multi-task learning and Ensemble learning; ? New learning criteria and evaluation metrics in RTL; *Application Areas:* ? Health monitoring; ? Health diagnosis and interpretation; ? Early health detection and prediction; ? Virtual patient monitoring; ? RTL in medicine; ? Biomedical information processing; ? Affect recognition and mining; ? Health and affective data synthesis; ? RTL for virtual reality in healthcare; ? Physiological information processing; ? Affective human-machine interaction; *GUEST EDITORS* Vasile Palade, Coventry University, UK Stefan Wermter, University of Hamburg, Germany Ariel Ruiz-Garcia, Coventry University, UK Antonio de Padua Braga, University of Minas Gerais, Brazil Clive Cheong Took, Royal Holloway (University of London), UK *SUBMISSION INSTRUCTIONS * 1. Read the Information for Authors at https://cis.ieee.org/publications/t-neural-networks-and-learning-systems. 2. Submit your manuscript at the TNNLS webpage ( http://mc.manuscriptcentral.com/tnnls) and follow the submission procedure. Please, clearly indicate on the first page of the manuscript and in the cover letter that the manuscript is submitted to this special issue. Send an email to the guest editor Vasile Palade (vasile.palade at coventry.ac.uk) with subject ?TNNLS special issue submission? to notify about your submission. 3. Early submissions are welcomed. We will start the review process as soon as we receive your contributions. For any other questions please contact Ariel Ruiz-Garcia ( ariel.9arcia at gmail.com ). -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtista at gmail.com Sat Sep 21 05:06:02 2019 From: mtista at gmail.com (Massimo Tistarelli) Date: Sat, 21 Sep 2019 11:06:02 +0200 Subject: Connectionists: PostDoc and Assistant Professor positions at Computer Vision Laboratory Message-ID: The Computer Vision Laboratory @ UNISS is opening up to 4 PostDoc positions and one Assistant Professor position in the field of Computer Vision, Biometrics, Machine Learning and Biologically-inspired Perception-Action Systems for Humanoid Robotics. The research will be conducted in the framework of National and International projects. The objective of the position is to develop novel models of visual perception for man-machine and human-robot interactions. The proposed research will be carried out in the Computer Vision Lab (Prof. Massimo Tistarelli) at UNISS. The research will rely on the background research and software tools developed at the CVL. And it will involve experimental sessions carried out both on available datasets and newly acquired data from our laboratory robotic set-up. The ideal candidate should hold a PhD or MS degree in computer science, electrical engineering or related fields. She or he should have a background in statistics, applied mathematics, optimization, linear algebra and signal processing. The applicant should also have strong programming skills and be familiar with Python, C/C++, various scripting languages and with the Linux environment. Knowledge in machine learning and deep learning is an asset. Shortlisted candidate may undergo a series of tests including technical reading and writing in English and programming. Appointment for each PostDoc position is for 2 years but may be renewed provided successful progress and depending on funding opportunities. Salary on the first year will be in the order of 25'000 euro (gross salary). The Assistant Professor position is also based on a 2 year renewable contract and the salary will be determined upon the skills and experience of the candidate. Starting date is Fall 2019. APPLICATION DEADLINE: October 1 2019. Apply online sending your CV to: tista at uniss.it -- *Prof. Massimo Tistarelli* *Director - Int.l Summer School on Biometrics* Director Computer Vision Laboratory *Universit? di Sassari* Department of Sciences and Information Technology Viale Italia 39 07100 Sassari (SS) - Italia *T* +39 079 229872 <+39%20079%20229872> *F* +39 079 229870 <+39%20079%20229870> *E **tista at uniss.it * -- Sent from Gmail Mobile -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at u-bourgogne.fr Mon Sep 23 04:39:27 2019 From: hocine.cherifi at u-bourgogne.fr (hocine cherifi) Date: Mon, 23 Sep 2019 10:39:27 +0200 Subject: Connectionists: CFP Special Issue Applied Network Science: GLOBAL FLOW OF COMMODITY, MONEY, HUMAN, AND KNOWLEDGE Message-ID: *Applied Network Science Special Issue on* *Global Flow of Commodity, Money, Human, and Knowledge* https://appliednetsci.springeropen.com/cfp-globalflow The phenomenon of globalization can simultaneously reduce international economic inequality (e.g., in the case of emerging countries) and worsen domestic economic inequality (e.g., increase of relative poverty in a several advanced countries). How can we solve this trade-off between international and domestic inequalities? On the other hand, it is highly desirable to avoid the reduction of biological and cultural diversity due to globalization. What can we do to promote the sustainable evolution and preservation of local diversities? Network analysis on global interdependence caused by the flows of commodity, money, people, and knowledge is indispensable in order to acquire different perspectives on globalization and to clarify its effects on isolated communities, which are most vulnerable in terms of equality and diversity. Consequently, the aim of this special issue is to collect a series of pioneering works in this interdisciplinary field, at the edge of natural and social sciences, to provide a landscape of research progresses and potentials in evidence-based policy making. Papers of a broad nature ? as per the topic to be tackled ? on various aspects of global flow of commodity, money, people, and knowledge are to be considered as possible contributions for this special issue. Manuscripts relevant to this special issue include, but are not limited to, the following: - International trade network - Global supply-chain network - Global resource flows and stocks - Global ownership network - Global value added network - Economics and financial networks - Profit shifting in digital economy - Networks of immigrant and remittance - Blockchain remittance - Egocentric network analysis of refugees - International knowledge flow - Knowledge flow, sharing, and collaboration - Multilayer and multiplex network analysis - Evidence-based policy making and network science Survey and review papers are welcome. *Important dates* Expression of interest and abstract submission: *October 7, 2019* Abstract feedback notification: * October 21, 2019* Paper submission deadline: *January 13, 2020* *Submission instructions* We invite authors to submit a brief *expression of interest* containing a short outline or extended abstract (approx. 1000 words), including the topic, key concepts, methods, expected results, and conclusions. Abstracts should be submitted via EasyChair: https://easychair.org/conferences/?conf=globalflow2019 These will be reviewed to determine if the submission is in the scope of this special issue. *Publication* Authors with accepted abstracts will be invited to submit their papers through the journal submission system for a full review and publication. Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process will start immediately. Accepted papers will be published continuously in the journal. All accepted papers will be listed together in an online virtual special issue published in the journal website. *Lead guest editor* Yuichi Ikeda, ikeda.yuichi.2w at kyoto-u.ac.jp Kyoto University, Japan *Guest editors* Guido Caldarelli, guido.caldarelli at imtlucca.it IMT School for Advanced Studies Lucca, Italy Maximilian Schich, Maximilian.Schich at utdallas.edu University of Texas at Dallas, USA Teruyoshi Kobayashi, kobayashi at econ.kobe-u.ac.jp Kobe University, Japan Irena Vodenska, vodenska at bu.edu Boston Univeristy, USA For more information, get in touch with the editors. *Join us at *: COMPLEX NETWORKS 2019, Lisbon, Portugal *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimo.srt at gmail.com Mon Sep 23 07:08:04 2019 From: massimo.srt at gmail.com (massimo sartori) Date: Mon, 23 Sep 2019 13:08:04 +0200 Subject: Connectionists: [jobs] PhD/Postdoc openings in neuro-mechanical modeling for neuro-modulative technologies (ERC project INTERACT) Message-ID: **** deadline approaching - September 29th, 2019 **** The Neuro-Mechanical Modeling and Engineering Lab at the University of Twente is seeking for an outstanding PhD candidate and post-doctoral fellow to work within the newly funded EU ERC project INTERACT (http://bit.ly/NMLab). The openings focus on developing data-driven models of the human neuromuscular system for real-time closed-loop neuro technologies. We offer high-reaching positions with a generous allowance as well as extraordinary research facilities and working environment. Please, apply via the links below no later than September 29th, 2019: PhD opening: http://bit.ly/ERC_PhD PostDoc opening: http://bit.ly/ERCPostDoc *The ERC project INTERACT:* The aim is to develop a new class of data-driven numerical models that can capture an individual's neuromuscular anatomy as well as how it changes over time. These models will be used to establish new closed-loop control methods for robotic exoskeletons and spinal cord stimulators. *The University of Twente:* We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which leads change, innovation and progress in society. We have a strong focus on personal development and talented researchers are given scope for carrying out groundbreaking research. For any question please do not hesitate to contact me at m.sartori [ at ] utwente.nl --- Massimo Sartori, Ph.D. Associate Professor Head of Neuromechanical Modeling & Engineering Lab University of Twente Institute of Biomedical Technology and Technical Medicine Faculty of Engineering Technology Department of Biomechanical Engineering Building Horsting ? Room W106 ? P.O. Box 217 7500 AE Enschede, The Netherlands Personal Website: https://people.utwente.nl/m.sartori/ Lab Website: https://www.utwente.nl/en/et/be/research/neuro-mech-eng-group/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From annalisa.riccardi at strath.ac.uk Mon Sep 23 10:47:47 2019 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Mon, 23 Sep 2019 14:47:47 +0000 Subject: Connectionists: Deadline extended of one week to submit your talk for OSE5 (Workshop on Optimisation in Space Engineering) In-Reply-To: References: <5F981B7DF1B7214DB40BAA37423DD2B636E5D841@EX2010-MBX1.ds.strath.ac.uk>, Message-ID: Dear Colleague, the deadline to submit your talk to the 5th Workshop on Optimisation in Space Engineering (OSE5) has been extended of one week. While no full paper is required to present at the workshop, a special issue has been organised on the Springer "Optimisation and Engineering" journal http://icelab.uk/ose5/ose5-special-issue/ The workshop will take place on 21-22 November 2019 at the Jo?ef Stefan Institute, Ljubljana, Slovenia. *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** The NEW important dates of OSE5 are: * 30th September 2019: Presentation title and abstract submission * 4th October 2019: Notification of acceptance & registrations open * 25th October 2019: Early registration closes (late registrations will be possible till the date of the event, subject to higher fees) * 23 November, 2019: Submissions for special issue are open *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** Please submit your 2000 characters abstract to http://icelab.uk/ose5/ose5-abstract-submission/ You can find more info about OSE5 at http://icelab.uk/ose5/ We look forward to welcoming you in Ljubljana in November! Best Regards, OSE5 Organising Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From matthias.treder at gmail.com Mon Sep 23 12:14:55 2019 From: matthias.treder at gmail.com (Matthias Treder) Date: Mon, 23 Sep 2019 17:14:55 +0100 Subject: Connectionists: Research associate - computational modelling Message-ID: *POSTDOC ON COMPUTATIONAL MODELLING OF SLEEP RELATED MEMORY CONSOLIDATION * We are seeking an outstanding scientist for a 2 year Research Associate post on computational modelling of how memory reactivation during both REM and NonREM phases of sleep differentially impacts on consolidation. Our lab studies the impact of sleep on memory using EEG together with behavioural measures and fMRI. We are particularly interested in how memory replay in sleep may contribute to the formation of cortical representations from knowledge that is initially coded into the hippocampus. We are also interested in how integration of incoming information with pre-existing cortical knowledge may lead to plastic changes in existing schemas, potentially even boosting the creative recombination of ideas or concepts. Sleep provides the perfect opportunity for building and updating models of the world ? so a predictive coding angle would be great. This will be the lab?s first foray into computational modelling, and we are looking for someone experienced in deep nets and / or PDP models. The main role of this person will be to create a computational model which captures the process whereby information is learned in wake and then spontaneously replayed during both REM and NREM phases of sleep (each of which have different characteristics). The model will be informed by behavioural data in which we have manipulated memory replay in these sleep stages (separately), and will be used to inform future experimental design. Note that we also have a PhD student working on this project starting from August, and the successful postdoctoral candidate would have the opportunity to work closely with this student, and potentially be involved in supervision. This project has already generated several grants and we expect it to generate very high impact publications. The post is linked to an ERC grant held by Penny Lewis at the Cardiff University Brain Research Imaging Centre (CUBRIC). CUBRIC is one of the best equipped neuroscience institutes in Europe, housing 3 MRI scanners, including a 7T and a Connectom scanner, a MEG, EEG labs, a brain stimulation lab, and of course the state of the art sleep lab. Further details of CUBRIC can be found on our web-page: http://sites.cardiff.ac.uk/cubric. / *. *The Neuroscience and Psychology of Sleep (NaPS) group is housed within CUBRIC, and conducts world-leading research on the impacts of sleep on cognitive processes. Period of appointment: 2 years. Salary: ?33 - 39K per annum (Grade 6) THE FORMAL ADVERT IS HERE We are hoping to have someone in post by end of Feb 2020 at latest. On behalf of Prof. Penny Lewis -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Mon Sep 23 17:44:47 2019 From: ted.carnevale at yale.edu (Carnevale, Nicholas) Date: Mon, 23 Sep 2019 21:44:47 +0000 Subject: Connectionists: Workshop on big models and big data at SFN 2019 Message-ID: <0d3ce744-5172-eb30-92fc-901284f1eced@yale.edu> Space is still available in the *NSG and HPAC ? Large Scale Simulations and Data Processing* workshop, which will be held in Chicago on Saturday, Oct. 19, 2019, as a satellite to the SFN 2019 meeting. Come to this workshop to learn about high performance and high throughput computing resources that can help you deal with big data sets or computationally intensive modeling projects. Discover what's in the pipeline, meet the developers, and find out how you can participate and/or take advantage of resources that are already freely available. But act quickly, because the *registration deadline is Thursday, October 10*. See http://www.nsgportal.org/NSG_HPAC_SfN2019_Wkshop.web.htm for the workshop's program, and https://neuron.yale.edu/neuron/static/courses/nsg2019/nsg2019.html for the online registration form. --Ted From askuznet at iupui.edu Tue Sep 24 08:53:01 2019 From: askuznet at iupui.edu (Alexey Kuznetsov) Date: Tue, 24 Sep 2019 08:53:01 -0400 Subject: Connectionists: PostDoc position available: Indianapolis-Paris In-Reply-To: References: Message-ID: *POSTDOCTORAL POSITION* *Indianapolis, Indiana, United States; Paris, France* A one-year postdoctoral position is available for a project on computational modeling of the influence of alcohol on the cortico-striatal signaling. The post-doc will design a biophysical model of the cortico-striatal brain circuitry affected by alcohol. The position is available beginning December 2019 for one years. The post-doc will work with Prof. Kuznetsov (Mathematics Dept. IUPUI) and collaborate with experimentalists Prof. Atwood (IUSM) and Prof. Lapish (Psycology Dept. IUPUI). For the first part of the project the fellow will have the opportunity for an extended stay in Paris France together with the PI to collaborate with Prof. Gutkin (ENS Paris). The locations provide an excellent environment for collaborative research in quantitative biosciences. *Qualifications*: Applicants should have a Ph.D. in Mathematics, Physics, or a related field, a background in Dynamical Systems, programming experience and working knowledge in Computational Neuroscience. *How to Apply:* Send your CV, list of publications, research statement, and contact information for three references to Prof. Alexey Kuznetsov via e-mail: askuznet at iupui.edu, or by regular mail: 402 N. Blackford Street, LD 270, Indianapolis, IN 46202. IUPUI is an Equal Opportunity/Affirmative Action Institution. Individuals who require a reasonable accommodation in order to participate in the application process must notify Cindy Ritchie at 402 N. Blackford Street, LD 270, Indianapolis, Indiana 46202 or call (317) 274-6920, a reasonable time in advance. IUPUI strongly encourages applications from women and underrepresented minorities. Additional information about IUPUI and the Department is available at www.iupui.edu and www.math.iupui.edu. -- Alexey Kuznetsov Associate Professor Dept. of Mathematical Sciences, IUPUI Science Building, LD 270, 402 N. Blackford St., Indianapolis, IN -- Alexey Kuznetsov Associate Professor Dept. of Mathematical Sciences, IUPUI Science Building, LD 270, 402 N. Blackford St., Indianapolis, IN -------------- next part -------------- An HTML attachment was scrubbed... URL: From juffi at ke.informatik.tu-darmstadt.de Tue Sep 24 12:00:25 2019 From: juffi at ke.informatik.tu-darmstadt.de (Johannes Fuernkranz) Date: Tue, 24 Sep 2019 18:00:25 +0200 Subject: Connectionists: Positions in Computational Data Analysis at JKU Linz Message-ID: The Johannes Kepler University Linz (JKU), Austria, is looking for doctoral and post-doctoral researchers in machine learning or knowledge discovery in databases for the newly formed Computational Data Analysis group of Prof. Johannes F?rnkranz, which will commence in October 2019. We are particularly looking for researchers in one or more of the following areas ? Interpretability in AI ? Inductive Rule Learning ? Preference Learning ? Multi-Label Classification ? Data Mining and Knowledge Discovery ? Monte-Carlo Tree Search ? Machine Learning and Game Playing Job description: ? Conduct independent research and collaborate in machine learning projects ? Publish in renowned international journals and conferences ? Supervise students and support lectures of the group Requirements: 1. Master?s Degree or Ph.D. in Computer Science or a related area 2. Strong background and track record in machine learning or knowledge discovery 3. Knowledge and prior work in one or more of the above-mentioned areas is a plus 4. Willingness and ability to work in a team and to support students and lectures About the group: Prof. Johannes F?rnkranz will start a new group on Computational Data Analysis at JKU Linz, within the Institute for Application-Oriented Knowledge Processing (FAW) [1]. Together with the existing groups of Prof. Sepp Hochreiter (Machine Learning) or Prof. Gerhard Widmer (Computational Perception), the Computer Science Department of JKU Linz [2] has become a leading center for machine learning and artificial intelligence research in Austria and beyond. In Winter Term 2019, JKU has started the first Bachelor?s and Master?s study programs in Artificial Intelligence in Austria. About the location: The area offers excellent quality of living in the heart of Europe - close to the alps between Vienna, Salzburg, Prague and Munich. Linz provides a superb cultural environment, e.g. with the Ars Electronica Festival and the nearby Salzburg Festival. Moreover, the world-cultural heritage sites Hallstatt and ?esk? Krumlov are less than two hours away. The picturesque and versatile landscape provides countless options for recreation and sports in nature (skiing, hiking, climbing, cycling, and many more). How to apply: Prospective applicants interested in these positions are requested to electronically send an application via the online portal http://jku.at/application. Please specify Job Reference Number 3989 (for Ph.D. student) or 3990 (for Post-Doc) in your application. Please provide us with a CV, a research statement concerning one or more of the above-mentioned areas, and a sample of your writing in English (thesis, publication, ?) The positions are open until filled, first decisions will be made on October 9th, 2019. If you have questions, please contact Prof. Johannes F?rnkranz johannes.fuernkranz at faw.jku.at. References: [1] https://www.jku.at/en/institute-for-application-oriented-knowledge-processing/ [2] http://informatik.jku.at/ [3] https://www.jku.at/en/degree-programs/types-of-degree-programs/bachelors-and-diploma-degree-programs/ba-artificial-intelligence/ [4] https://www.jku.at/en/degree-programs/types-of-degree-programs/masters-degree-programs/ma-artificial-intelligence/ -- Johannes Fuernkranz From Pavis at iit.it Wed Sep 25 05:31:12 2019 From: Pavis at iit.it (Pavis) Date: Wed, 25 Sep 2019 09:31:12 +0000 Subject: Connectionists: 3 Ph.D. positions at PAVIS/VGM, Italian Institute of Technology, IIT - Deadline 30th September, 2019 In-Reply-To: <3de6acf6e2704274aac35a6034b154c0@iit.it> References: <3de6acf6e2704274aac35a6034b154c0@iit.it> Message-ID: <6740d0d3ceed4659a93d1b8403021bd1@iit.it> 3 PHD POSITIONS for PAVIS AND VGM AT THE IIT (Genova, ITALY) IN COLLABORATION WITH UNIVERSIT? DI GENOVA IIT has established a collaboration with Universit? degli studi di Genova https://unige.it/ a PhD curriculum in ?Computational vision, automatic recognition and learning? (Visione computazionale, riconoscimento e apprendimento automatico - codice 7901) within the general course in ?Science and technology for electronic and telecommunication engineering? (Scienze e tecnologie per l'ingegneria elettronica e delle telecomunicazioni) and finances 3 PhD positions. All research activities are expected to be developed within IIT premises, in Genoa, under the supervision of IIT researchers. Training will be shared between the University and the IIT. 3 positions are proposed and linked to the following research projects (for details see: themes? details, 2nd call https://pavisdata.iit.it/data/phd/2019_ResearchTopicsPhD_IIT_PAVISVGM_RECALL.pdf) Theme A - Computer vision for AI spatial reasoning Theme B - Zero-and Few-Shot Learning Theme C - Online 3D scene understanding with geometrical and deep learning reasoning Theme D - Re-identification from multi-modal dataTheme B: Human body modeling for Socially-Aware Computer Vision More info on the above research topics can be directly asked to Prof. A. del Bue (pavis at iit.it), or any other tutor indicated in the list of themes. The PhD program on the listed themes will take place at the PAVIS department of Istituto Italiano di Tecnologia (IIT) located in Genova: www.iit.it The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, even multidisciplinary, in collaboration with other research groups in IIT. PAVIS staff has a wide expertise in computer vision and pattern recognition, machine learning, image processing, and related applications (mainly related to surveillance/security and biomedical tasks). For more information, you can also browse the PAVIS (PAVIS WEB SITE: https://pavis.iit.it/) and VGM Lab webpages (VGM WEB SITE: https://vgm.iit.it/) to see our activities and research. To apply, follow the instructions indicated at the following links where the notice of public examination in Italian and in English are published: Dottorati di Ricerca: https://unige.it/usg/it/dottorati-di-ricerca In short, the documentation to be submitted is a detailed CV, a research proposal under one or more themes chosen among those above indicated (please, see also a project proposal template at the link indicated below), reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. IMPORTANT: In order to apply, candidates must prepare a research proposal based on the research topics above mentioned. Please, follow these indications to prepare it: Research Project Template: https://pavisdata.iit.it/data/phd/ResearchProjectTemplate ONLINE APPLICATION DEADLINE is September 30th, 2019 STRICT DEADLINE, NO EXTENSION. APPLICATIONS are possible through University of Genoa ONLINE PROCEDURE ONLY - Dottorati di Ricerca: https://unige.it/usg/it/dottorati-di-ricerca -------------- next part -------------- An HTML attachment was scrubbed... URL: From aelibol at gmail.com Wed Sep 25 21:24:21 2019 From: aelibol at gmail.com (Armagan Elibol) Date: Thu, 26 Sep 2019 10:24:21 +0900 Subject: Connectionists: [CFP] 17th Int. Conf. on Ubiquitous Robots (UR 2020) Message-ID: Dear Researchers, We would like to invite you to participate to the 17th International Conference on Ubiquitous Robots (UR 2020) , which will be held in in the Ritsumeikan University - Suzaku Campus, Kyoto, Japan, from June 22-26, 2020. Since its inception in 2004, Ubiquitous Robots has now established itself as a leading mid-size robotics conference, bringing together robotics researchers from around the world who share the vision that robots, like mobile phones, will become ubiquitous in our daily lives, and help connect and empower humans. Robotics is the ultimate interdisciplinary field, and Ubiquitous Robots invites contributions from the entire foundational spectrum?design, perception, manipulation, interfaces, mobility, intelligence?and application domains? industrial, social and cultural interaction, transportation, medical, rehabilitation, healthcare, agriculture, construction, security, disaster, and many others. Ubiquitous Robots 2020 promises to be an exciting and innovative event, with plenary and invited talks, oral presentation, posters, and workshops. We invite you to submit your latest work to Ubiquitous Robots 2020, and to come experience the myriad attractions of Kyoto. Important Dates Jan. 31 Submission Deadline Jan. 15 OS/Workshop/Tutorial Proposal Deadline Feb. 15 OS Paper Submission Deadline Mar. 30 Acceptance Notification May 15 Final Manuscript Submission Deadline Paper Templates And Online Submission Authors should prepare their papers based on template provided by IEEE (LaTex template or Microsoft Word template ). All papers must be written in English and submitted electronically in A4 PDF format. Submission links are now available on ras.papercept.net. Topics of interest include, but are not limited to, the following: Design:mechanisms and actuation; robots with flexible elements; limbed structures; parallel and hybrid mechanisms; robot hands; snake-like and continuum robots; soft robots; modular robots; biomimetic and bioinspired robots; wheeled robots; underwater robots; flying robots; micro/nano robots; performance evaluation and optimization; modeling, identification, calibration; Sensing and Perception:foundations of sensing and estimation; force and tactile sensing; range, sonar, and inertial Sensing; GPS and odometry; 3-D vision; object recognition; visual servoing; multisensor data fusion Manipulation, Interfaces, and Programming: motion and force planning and control for manipulation tasks; contact modeling and manipulation; grasping; cooperative manipulation; mobility and manipulation; haptics; active manipulation for perception; telerobotics; networked robots; robotic systems architectures and programming; Moving in the Environment: world modelling; simultaneous localization and mapping (SLAM); motion planning and obstacle avoidance; modelling and control of legged robots, wheeled mobile robots, robots on rough terrain, underwater robots, aerial robots, and multiple mobile robot systems Robots at Work: industrial robotics; space robotics; robotics in agriculture and forestry; robotics in construction; robotics in hazardous applications; robotics in mining; search and rescue robotics; robot surveillance and security; intelligent vehicles; medical robotics and computer-integrated surgery; rehabilitation and healthcare robotics; domestic robotics; Robots and Humans:humanoids; physical and cognitive human-robot interaction; human-robot augmentation; social and socially assistive robotics; learning from humans; behavior-based systems; AI reasoning methods for robotics; deep learning and machine learning in robotics; biologically-inspired robotics; evolutionary robotics; neurorobotics; perceptual robotics; roboethics Paper Submission Regular Papers (4-8 pages): Prospective authors are invited to submit high-quality papers for oral presentation, and the accepted papers will be included in Ubiquitous Robots IEEE Xplore Conference Proceedings. Work-in-Progress Papers (2-6 pages): The conference seeks contributions from a broad set of on-going works for poster presentation with possible active interaction in the conference. The accepted papers will be included in the conference proceedings for distribution to the conference participants. However, work-in-progress papers will not be uploaded to the IEEE Xplore Digital Library. Basically, the accepted regular papers and work-in-progress papers will be assigned to oral sessions and poster sessions respectively. However, the papers may be moved across the presentation types according to decision of program committee. Sincerely, Armagan Elibol, www.jaist.ac.jp/~aelibol -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.denker at fz-juelich.de Thu Sep 26 07:05:05 2019 From: m.denker at fz-juelich.de (Michael Denker) Date: Thu, 26 Sep 2019 13:05:05 +0200 Subject: Connectionists: 1st Elephant User Workshop for Reproducible Data Analysis in Electrophysiology, Paris, Nov 4-6, 2019 Message-ID: <78233c16-5779-da3f-ae7c-d1380ee3a044@fz-juelich.de> ***1st Elephant User Workshop*** --Accelerate Structured and Reproducible Data Analysis in Electrophysiology-- Paris, France Nov 4-6, 2019 Summary: In this workshop, users will be trained in the use of community-driven tools developed in the context of the Human Brain Project to analyze electrophysiological data, such as spike train data or LFP time series. In addition, participants receive help in integrating their own data into such analysis workflows. The topics covered will be: * reading and manipulating electrophysiology data in Python using Neo [1] * analysis of such data using Elephant [2] * best practices for integrating metadata into your workflow to aid the analysis process * best practices for structuring of analysis results * tracking data analysis pipelines using the HBP Knowledge Graph [3] * collaboration and sharing using the HBP Collaboratory [4] For more information and registration, check out: https://www.humanbrainproject.eu/en/education/participatecollaborate/infrastructure-events-trainings/1st-elephant-user-workshop-accelerate-structured-and-reproducibl/ Organizers: Andrew Davison | French National Centre for Scientific Research, France Michael Denker | Forschungszentrum J?lich, Germany Martina Schmalholz | Heidelberg University, Germany References: [1] Neo, https://neo.readthedocs.io [2] Elephant, https://elephant.readthedocs.io [3] HBP Knowledge Graph, https://www.humanbrainproject.eu/en/explore-the-brain/ [4] HBP Collaboratory, https://collab.humanbrainproject.eu ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ From friedhelm.schwenker at uni-ulm.de Thu Sep 26 08:53:42 2019 From: friedhelm.schwenker at uni-ulm.de (Friedhelm Schwenker) Date: Thu, 26 Sep 2019 14:53:42 +0200 Subject: Connectionists: Special Issue "Deep Artificial Neural Networks Meet Information Theory" Message-ID: Dear Researchers, The Entropy Journal (https://www.mdpi.com/journal/entropy) is currently running a Special Isuue on Deep Artificial Neural Networks Meet Information Theory Please find more information via the SI webpage: https://www.mdpi.com/journal/entropy/special_issues/deep_artificial_neural_networks Submission deadline is March 31, 2020. If you are interested in submitting your work, please contact me by Email: friedhelm.schwenker at uni-ulm.de Best wishes, Friedhelm -- PD Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email: friedhelm.schwenker at uni-ulm.de www: http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From foldes.andrei at gmail.com Thu Sep 26 11:53:20 2019 From: foldes.andrei at gmail.com (Tamas Andrei Foldes) Date: Thu, 26 Sep 2019 16:53:20 +0100 Subject: Connectionists: Fwd: [Systems Neuroscience] Postdoc on computational modelling of sleep related memory consolidation In-Reply-To: References: <54292119-a8e7-4b74-84ca-26a2152f9ed9@googlegroups.com> Message-ID: *POSTDOC ON COMPUTATIONAL MODELLING OF SLEEP RELATED MEMORY CONSOLIDATION * We are seeking an outstanding scientist for a 2 year Research Associate post on computational modelling of how memory reactivation during both REM and NonREM phases of sleep differentially impacts on consolidation. Our lab studies the impact of sleep on memory using EEG together with behavioural measures and fMRI. We are particularly interested in how memory replay in sleep may contribute to the formation of cortical representations from knowledge that is initially coded into the hippocampus. We are also interested in how integration of incoming information with pre-existing cortical knowledge may lead to plastic changes in existing schemas, potentially even boosting the creative recombination of ideas or concepts. Sleep provides the perfect opportunity for building and updating models of the world ? so a predictive coding angle would be great. This will be the lab?s first foray into computational modelling, and we are looking for someone experienced in deep nets and / or PDP models. The main role of this person will be to create a computational model which captures the process whereby information is learned in wake and then spontaneously replayed during both REM and NREM phases of sleep (each of which have different characteristics). The model will be informed by behavioural data in which we have manipulated memory replay in these sleep stages (separately), and will be used to inform future experimental design. Note that we also have a PhD student working on this project starting from August, and the successful postdoctoral candidate would have the opportunity to work closely with this student, and potentially be involved in supervision. This project has already generated several grants and we expect it to generate very high impact publications. The post is linked to an ERC grant held by Penny Lewis at the Cardiff University Brain Research Imaging Centre (CUBRIC). CUBRIC is one of the best equipped neuroscience institutes in Europe, housing 3 MRI scanners, including a 7T and a Connectom scanner, a MEG, EEG labs, a brain stimulation lab, and of course the state of the art sleep lab. Further details of CUBRIC can be found on our web-page: http://sites.cardiff.ac.uk/cubric. /*. *The Neuroscience and Psychology of Sleep (NaPS) group is housed within CUBRIC, and conducts world-leading research on the impacts of sleep on cognitive processes. Period of appointment: 2 years. Salary: ?33 - 39K per annum (Grade 6) THE FORMAL ADVERT IS HERE We are hoping to have someone in post by end of Feb 2020 at latest. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Thu Sep 26 11:56:41 2019 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Thu, 26 Sep 2019 15:56:41 +0000 Subject: Connectionists: CFP: DATA STREAMS TRACK - ACM SAC 2020 (Submission deadline: September 29, 2019) Message-ID: *ACM Symposium on Applied Computing * The 35th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic March 30 ? April 3, 2020 https://www.sigapp.org/sac/sac2020/ *Data Streams Track * https://www.cs.waikato.ac.nz/~abifet/SAC2020/ *Call for Papers * The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions. *TOPICS OF INTEREST * We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to: * Real-Time Analytics * Big Data Mining * Data Stream Models * Large Scale Machine Learning * Languages for Stream Query * Continuous Queries * Clustering from Data Streams * Decision Trees from Data Streams * Association Rules from Data Streams * Decision Rules from Data Streams * Bayesian Networks from Data Streams * Neural Networks for Data Streams * Feature Selection from Data Streams * Visualization Techniques for Data Streams * Incremental on-line Learning Algorithms * Single-Pass Algorithms * Temporal, spatial, and spatio-temporal data mining * Scalable Algorithms * Real-Time and Real-World Applications using Stream data * Distributed and Social Stream Mining * Urban Computing, Smart Cities * Internet of Things (IoT) *IMPORTANT DATES (NEW!) * 1. Submission deadline: September 15 -> September 29 2. Notification deadline: November 10 -> November 24 3. Camera-ready deadline: November 25 -> December 9 *PAPER SUBMISSION GUIDELINES * Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper format for a number of document preparation systems at: http://www.acm.org/sigs/pubs/proceed/template.html Important notice: 1. Please submit your contribution via SAC 2020 Webpage. 2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library. If you encounter any problems with your submission, please contact the Program Coordinator. Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From ivanolauriola at gmail.com Thu Sep 26 22:53:06 2019 From: ivanolauriola at gmail.com (Ivano Lauriola) Date: Thu, 26 Sep 2019 19:53:06 -0700 Subject: Connectionists: CFP: Language processing in the era of deep learning (Special Session @ESANN2020) Message-ID: CALL FOR PAPERS (SPECIAL SESSION: Language processing in the era of deep learning) Co-located @ 28-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). This event builds upon a very 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. Submission deadline: 18 November, 2019 Date of conference: April 22-24, 2020 https://www.esann.org Selected papers from the ESANN 2020 proceedings will be invited for publication of an extended version in a special issue of the Neurocomputing journal. The conference is held in Bruges, Belgium. Bruges is 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. SPECIAL SESSION: Language processing in the era of deep learning Organized by Ivano Lauriola (University of Padova, Italy; Fondazione Bruno Kessler, Italy), Alberto Lavelli (Fondazione Bruno Kessler, Italy), Fabio Aiolli (University of Padova, Italy) Natural Language Processing (NLP) is a branch of artificial intelligence brimful of intricate, sophisticated, and challenging tasks, such as machine translation, question answering, summarization, and so on. Thanks to the recent advances of deep learning, NLP applications have received an unprecedented boost in performance, generating growing interest from the machine learning community. However, even if deep learning techniques are starting to reach excellent performance on various tasks, there are still several problems that need to be solved, such as the computational cost, the reproducibility of results, and the lack of interpretability. This special session is devoted to cover novel research about popular and fashionable applications of machine learning and deep learning solutions to NLP tasks. Both theoretical analysis and empirical solutions to real-world problems are welcome and encouraged. Relevant deep learning topics include, but are not limited to: - word, sentence, and document embeddings - graph embeddings and knowledge bases - information extraction - named entity recognition and relation extraction - question answering - string kernels - encoding/decoding architectures - summarization - machine translation - document classification - sentiment analysis - efficient and interpretable models - ontologies and knowledge-driven approaches - resources, datasets, and pre-trained models - multidisciplinary applications (such as biomedical text mining, verbal lie detection...) - creative tasks (such as storytelling, caption generation, social media analytics, multilinguality?) Contacts: - all questions concerning this Special Session may be sent by e-mail to ivano.lauriola at phd.unipd.it - other general questions related to the ESANN 2020 conference may be sent by e-mail directly to the conference organizers: esann at uclouvain.be Best regards, Ivano Lauriola email: ivano.lauriola at phd.unipd.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Thu Sep 26 13:39:59 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Thu, 26 Sep 2019 13:39:59 -0400 Subject: Connectionists: NEURAL NETWORKS, Oct. 2019 Message-ID: Neural Networks - Volume 118, Oct. 2019 http://www.journals.elsevier.com/neural-networks Synchronization of chaotic neural networks with time delay via distributed delayed impulsive control Zhilu Xu, Dongxue Peng, Xiaodi Li Short-term synaptic plasticity expands the operational range of long-term synaptic changes in neural networks Guanxiong Zeng, Xuhui Huang, Tianzi Jiang, Shan Yu Principal Component Analysis based on Nuclear norm Minimization Jian-Xun Mi, Ya-Nan Zhang, Zhihui Lai, Weisheng Li, ... Fujin Zhong Cascade interpolation learning with double subspaces and confidence disturbance for imbalanced problems Zhe Wang, Chenjie Cao Online sequential echo state network with sparse RLS algorithm for time series prediction Cuili Yang, Junfei Qiao, Zohaib Ahmad, Kaizhe Nie, Lei Wang Global-and-local-structure-based neural network for fault detection Haitao Zhao, Zhihui Lai, Yudong Chen Putting a bug in ML: The moth olfactory network learns to read MNIST Charles B. Delahunt, J. Nathan Kutz Classification and comparison via neural networks ??lkay Y??ld??z, Peng Tian, Jennifer Dy, Deniz Erdogmus, ... Stratis Ioannidis Biologically plausible deep learning -- But how far can we go with shallow networks? Bernd Illing, Wulfram Gerstner, Johanni Brea Label-specific feature selection and two-level label recovery for multi-label classification with missing labels Jianghong Ma, Tommy W.S. Chow Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection Meilu Zhu, Daming Shi, Junbin Gao Redundant feature pruning for accelerated inference in deep neural networks Babajide O. Ayinde, Tamer Inanc, Jacek M. Zurada Improving the combination of results in the ensembles of prototype selectors Gonzalo Cerruela-Garcia, Aida de Haro-Garcia, Jose Perez-Parras Toledano, Nicolas Garcia-Pedrajas Looking to the future: Learning from experience, averting catastrophe Gail A. Carpenter A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips Tuan-Linh Nguyen, Swathi Kavuri, Minho Lee Group variable selection via l_{p,0} regularization and application to optimal scoring Duy Nhat Phan, Hoai An Le Thi Investigating the transferring capability of capsule networks for text classification Min Yang, Wei Zhao, Lei Chen, Qiang Qu, ... Ying Shen Recurrent transform learning Angshul Majumdar, Megha Gupta Multi-perspective neural architecture for recommendation system Han Xiao, Yidong Chen, Xiaodong Shi, Ge Xu A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network Jin Xie, Sanyang Liu, Hao Dai Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm Bin Gu, Xiang Geng, Xiang Li, Guansheng Zheng Combining Hopfield neural networks, with applications to grid-based mathematics puzzles M. Fitzsimmons, H. Kunze Quasi-projective and complete synchronization of fractional-order complex-valued neural networks with time delays Hong-Li Li, Cheng Hu, Jinde Cao, Haijun Jiang, Ahmed Alsaedi Depth with nonlinearity creates no bad local minima in ResNets Kenji Kawaguchi, Yoshua Bengio Compositionally-warped Gaussian processes Gonzalo Rios, Felipe Tobar Correlation-based channel selection and regularized feature optimization for MI-based BCI Jing Jin, Yangyang Miao, Ian Daly, Cili Zuo, ... Andrzej Cichocki Delay-dependent criterion for asymptotic stability of a class of fractional-order memristive neural networks with time-varying delays Liping Chen, Tingwen Huang, J.A. Tenreiro Machado, Antonio M. Lopes, ... Ranchao Wu Exponential synchronization of semi-Markovian coupled neural networks with mixed delays via tracker information and quantized output controller Xiaoxiao Wan, Xinsong Yang, Rongqiang Tang, Zunshui Cheng, ... Fuad E. Alsaadi Connecting PM and MAP in Bayesian spectral deconvolution by extending exchange Monte Carlo method and using multiple data sets Kimiko Motonaka, Seiji Miyoshi Shunt connection: An intelligent skipping of contiguous blocks for optimizing MobileNet-V2 Brijraj Singh, Durga Toshniwal, Sharan Kumar Allur Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm Serveh Kamrava, Pejman Tahmasebi, Muhammad Sahimi Efficient training of interval Neural Networks for imprecise training data Jonathan Sadeghi, Marco de Angelis, Edoardo Patelli From jaekel at psychologie.tu-darmstadt.de Thu Sep 26 11:10:29 2019 From: jaekel at psychologie.tu-darmstadt.de (=?iso-8859-1?Q?J=E4kel=2C_Frank?=) Date: Thu, 26 Sep 2019 15:10:29 +0000 Subject: Connectionists: PhD position: criterion learning in perceptual decision making @ TU Darmstadt Message-ID: <7D82FB3F-B2CA-45C5-BB92-37DF3904AE2A@psychologie.tu-darmstadt.de> The Models of Higher Cognition group (PI: Frank Jaekel) at the TU Darmstadt Centre for Cognitive Science is looking for a PhD student in the area of perceptual decision making. In a joint DFG-project with theNeurophysiology group at the University of Mainz (PI: Maik Stuettgen) we are investigating neural and cognitive processes underlying criterion learning. Informal inquiries can be sent to jaekel at psychologie.tu-darmstadt.de. More information on the Models of Higher Cognition group can be found here: https://www.psychologie.tu-darmstadt.de/mhc and the full job ad here: https://www.tu-darmstadt.de/universitaet/karriere_an_der_tu/stellenangebote/aktuelle_stellenangebote/stellenausschreibungen_detailansichten_1_330496.en.jsp -------------- next part -------------- An HTML attachment was scrubbed... URL: From thang.buivn at gmail.com Fri Sep 27 19:34:49 2019 From: thang.buivn at gmail.com (Thang Bui) Date: Fri, 27 Sep 2019 16:34:49 -0700 Subject: Connectionists: Registration is open and 2nd CFP: 2nd Symposium on Advances in Approximate Bayesian Inference (AABI 2019) Message-ID: We invite researchers in machine learning and statistics to participate in the: *2nd Symposium on Advances in Approximate Bayesian Inference * Sunday December 8, 2019, Pan Pacific Hotel 300 - 999 Canada Pl Vancouver, BC V6C 3B5, Canada www.approximateinference.org Submission deadline: *11 October, 2019* *1. Registration * Registration is now open: https://www.eventbrite.ca/e/2nd-symposium-on-advances-in-approximate-bayesian-inference-aabi-2019-tickets-73461460205 Registration is free but will be limited. More slots may become available as we free up the reserved slots for authors of the accepted papers. If you are unable to register, feel free to sign up on the waiting list. We will contact you if more slots become available. *2. Call for Participation* We invite researchers to submit their recent work on the development, analysis, or application of approximate Bayesian inference. A submission should take the form of an extended abstract of 2-4 pages in PDF format using the PMLR one-column style [ http://approximateinference.org/pmlr/aabi_template.zip ]. For questions and troubleshooting, visit CTAN [ https://ctan.org/tex-archive/macros/latex/contrib/jmlr ]. The review process will be double-blind. Author names need to be anonymized and references may extend as far as needed beyond the 4-page upper limit. If authors' research has previously appeared in a journal, workshop, or conference (including the NeurIPS 2019 conference), their symposium submission should extend that previous work. Submissions may include a supplement/appendix, but reviewers are not responsible for reading any supplementary material. All submissions will be reviewed by at least three reviewers from the field. Accepted submissions will be accepted to presentation only. The authors of selected submissions will be invited to publish their paper in a PMLR volume. We aim to keep a general inclusive nature of the symposium for presentations. However, we will only invite the top-rated accepted papers to be published through PMLR. Papers should be submitted by 11 October through OpenReview at 23:59 GMT [ https://openreview.net/group?id=approximateinference.org/AABI/2019/Symposium ]. Final versions of the symposium submissions are due by 5 December, and will be posted on the symposium website. If you have any questions, please contact us at aabisymposium2019 at gmail.com . *3. Key Dates* Paper submission: 11 October 2019 (23:59 GMT) Acceptance notification: 8 November 2019 Final paper submission: 5 December 2019 *4. Symposium Overview* In recent years, there have been numerous advances in approximate inference methods, which have enabled Bayesian inference in increasingly challenging scenarios involving complex probabilistic models and large datasets. The 2nd Symposium on Advances in Approximate Bayesian Inference (AABI) will discuss this impact of Bayesian inference, connecting both variational and Monte Carlo methods with other fields. We encourage submissions that relate Bayesian inference to the fields of reinforcement learning, causal inference, decision processes, Bayesian compression, or differential privacy, among others. We also encourage submissions that contribute to connecting different approximate inference methods. This symposium is a continuation of past years events: + 1st Symposium on Advances in Approximate Bayesian Inference (2018) + NIPS 2017 Workshop: Advances in Approximate Bayesian Inference + NIPS 2016 Workshop: Advances in Approximate Bayesian Inference + NIPS 2015 Workshop: Advances in Approximate Bayesian Inference + NIPS 2014 Workshop: Advances in Variational Inference *5. Invited Speakers and Panelists* Invited speakers: Emily Fox (University of Washington) Michael Gutmann (University of Edinburgh) Sergey Levine (UC Berkeley) Qiang Liu (University of Texas at Austin) Christian Robert (Ceremade - Universit? Paris-Dauphine) Michalis Titsias (DeepMind) Rianne van den Berg (University of Amsterdam) Panel: Moderator: Frank Wood (University of British Columbia) Barbara Engelhardt (Princeton University) James Hensman (Prowler.io) Radford Neal (University of Toronto) Christian Robert (Ceremade - Universit? Paris-Dauphine) Sinead Williamson (University of Texas at Austin) Symposium organizers: Thang Bui (University of Sydney / Uber) Adji Dieng (Columbia University) Dawen Liang (Netflix) Francisco Ruiz (University of Cambridge / Columbia University) Cheng Zhang (Microsoft Research) Advisory committee: David Blei (Columbia University) Stephan Mandt (University of California, Irvine) James McInerney (Netflix) Dustin Tran (Google Brain / Columbia University) -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonino.staiano at uniparthenope.it Sat Sep 28 02:34:57 2019 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Sat, 28 Sep 2019 08:34:57 +0200 Subject: Connectionists: =?utf-8?q?Call_for_application_for_Post-Doc_Resea?= =?utf-8?q?rch_Grants_=28SMART_SE4I_Project=2C_DiST_=E2=80=93_Unive?= =?utf-8?q?rsit=C3=A0_di_Napoli_Parthenope=29?= Message-ID: The Universit? degli Studi di Napoli ?Parthenope?, Dipartimento di Scienze e Tecnologie (DiST), announces a public call for applications, considering qualifications and interviews, for the assignation n. 5 research grants for the following research activity related to the project Smart Energy Efficiency & Environment for Industry - SMART SE4I: - Development of an intelligent video surveillance system prototype by using machine / deep learning techniques: study of tracking and positioning techniques for the implementation of geofencing policies (1 grant). - Development of an intelligent video surveillance system prototype by using machine / deep learning techniques: analysis of video flows and Situational Awareness techniques for decision support (2 grants). - Development of an intelligent video surveillance system prototype by using machine / deep learning techniques: study of a multimodal biometric and license plate key as an access mode to controlled areas (2 grants). The duration of the research grant is 12 months renewable if the scientific manager receives a positive opinion and funds are available on the balance sheet. The gross amount of the research grant is ? 30.000, inclusive of all the taxes to be borne by the recipient of the grant; this amount does not include the burdens paid by the Universit? di Napoli ?Parthenope?. The research grant is paid in monthly instalments. Website http://www.trasparenza.uniparthenope.it/Trasparenza/bandi_3a.asp?id=EI4&id2=EI&TRS_Page=0 For more details about the positions, please contact - Antonino Staiano: antonino.staiano at uniparthenope.it - Angelo Ciaramella: angelo.ciaramella at uniparthenope.it - Francesco Camastra: francesco.camstra at uniparthenope.it - Antonio Maratea: antonio.maratea at uniparthenope.it - Alessio Ferone: alessio.ferone at uniparthenope.it Antonino Staiano Antonino Staiano, PhD Assistant Professor Dept. Science and Technology University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From hl374 at drexel.edu Fri Sep 27 16:43:33 2019 From: hl374 at drexel.edu (Liang,Hualou) Date: Fri, 27 Sep 2019 20:43:33 +0000 Subject: Connectionists: Postdoc Position in Biomedical Deep Learning, Drexel University Message-ID: <5E18D2C4-4412-4749-B174-EA78D120E13F@drexel.edu> I have an immediate opening for a post-doctoral fellow to engage in a federally-funded multi-year project in biomedical deep learning. My research group at Drexel University focuses on developing state-of-the art deep learning-based algorithms and applying them to a wide range of problems. Ongoing projects are: * Design of novel and application of existing cutting-edge natural language processing (NLP) models (e.g. Transformer, BERT, GPT-2, XLNet) for biomedical information retrieval and text summarization. This is an unprecedented opportunity to harness unstructured information from millions of documents, use this information to guide generic drug product development. * Development of novel and application of existing deep generative models (e.g. GANs, VAEs) to explain the high-dimensional structure and time course of neural population activity. The focus is on the extraction of low-dimensional temporal patterns in high-dimensional spiking and local field potentials datasets in visual attention and working memory tasks, and the development of new tools for causal inference (e.g. copula Granger-causality). The ideal candidate should have, or be about to receive, a Ph.D. in a relevant discipline with substantial computational experience (especially in deep learning/NLP). Programming skills in Python and/or Julia are essential. Knowledge of state-of-the-art NLP/text mining methods and/or deep learning frameworks (e.g. TensorFlow, PyTorch) is advantageous but not required. Interested individuals should email a curriculum vitae and a brief statement of research interests to Dr. Hualou Liang at hualou.liang at drexel.edu. Hualou Liang, PhD Professor School of Biomedical Engineering Drexel University 3141 Chestnut Street Philadelphia, PA 19104 Tel: (215) 571-3706 Fax: (215) 895-4983 hualou.liang at drexel.edu http://www.biomed.drexel.edu/labs/liang/ Mailing address: Monell Building 3508 Market Street Suite 100 Philadelphia, PA 19104 -------------- next part -------------- An HTML attachment was scrubbed... URL: From tobi at ini.uzh.ch Sat Sep 28 01:26:42 2019 From: tobi at ini.uzh.ch (Tobi Delbruck (INI)) Date: Sat, 28 Sep 2019 07:26:42 +0200 Subject: Connectionists: AICAS 2020 paper / demo deadline extended to Monday 7 Oct Message-ID: The regular papers (4 pages) and live demo (1 page) submission deadline for the IEEE Artificial Intelligence Circuits and Systems Conference?(AICAS 2020, https://aicas2020.eu) has been extended by one week to *Monday Oct. 7 midnight CET*?(GMT+1,?central European time). Submission instructions are at https://aicas2020.eu/submissions. -Tobi Delbruck -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.ciaramella at uniparthenope.it Fri Sep 27 09:01:52 2019 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Fri, 27 Sep 2019 15:01:52 +0200 Subject: Connectionists: =?utf-8?q?Call_for_application_for_Post-Doc_Resea?= =?utf-8?q?rch_Grants_=28SMART_SE4I_Project=2C_DiST_=E2=80=93_Universit?= =?utf-8?q?=C3=A0_di_Napoli_Parthenope=29?= Message-ID: <20190927150152.Horde.i2MLlYMGe61JqgH8yj1ZGA2@webmail.uniparthenope.it> The Universit? degli Studi di Napoli ?Parthenope?, Dipartimento di Scienze e Tecnologie (DiST), announces a public call for applications, considering qualifications and interviews, for the assignation n. 1 research grants for the following research activity related to the project Smart Energy Efficiency & Environment for Industry - SMART SE4I: Development of an intelligent video surveillance system prototype by using machine / deep learning techniques: study of tracking and positioning techniques for the implementation of geofencing policies. Scientific responsible of the research grant: Dr. Antonino Staiano Supervisors: Dr. Antonio Maratea and Dr. Giuseppe Salvi Website: http://www.trasparenza.uniparthenope.it/Trasparenza/bandi_3a.asp?id=EI4&id2=EI&TRS_Page=0 The duration of the research grant is 12 months renewable if the scientific manager receives a positive opinion and funds are available on the balance sheet. The gross amount of the research grant is ?30.000, inclusive of all the taxes to be borne by the recipient of the grant; this amount does not include the burdens paid by the Universit? di Napoli ?Parthenope?. The research grant is paid in monthly instalments. Candidates allowed to participate in the selection are only those in possession of: - a scientific professional curriculum suitable for carrying out the research activity, as long as it is relevant to the scientific sector for which the grant is awarded; - the following qualifications and professional experience: # Post-graduate degrees in Computer Science (LM-18), Computer Engineering (LM-32), Mathematics (LM-18), Physics (LM-32) or any other equivalent title in the disciplines relating to the Information and Communication Technologies, pursuant to Ministerial Decree n. 509/1999, 270/2004 or university degree (with a course duration of not less than 4 years, as referred to in the pre-existing academic regulations pursuant to D.M. n. 509/1999) or qualification obtained abroad, recognized as equivalent or equivalent to the Italian degree on the basis of international agreements, or in the manner referred to in art. 332 of the T.U. n. 1592/1933. # PhD in Computer Science, Computer Engineering or within the scientific themes for which the grant is awarded. - The following titles are preferential: # Documented experience in the field Computer Vision, Image Processing, Machine Learning and Deep Learning, Object Positioning and Tracking. More information: For more details about the position, please contact Dr. Antonio Maratea (antonio.maratea at uniparthenope.it). For instructions on how to apply, please go to http://www.trasparenza.uniparthenope.it/Trasparenza/bandi_3a.asp?id=EI4&id2=EI&TRS_Page=0 From angelo.ciaramella at uniparthenope.it Fri Sep 27 09:07:59 2019 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Fri, 27 Sep 2019 15:07:59 +0200 Subject: Connectionists: =?utf-8?q?Call_for_application_for_Post-Doc_Resea?= =?utf-8?q?rch_Grants_=28SMART_SE4I_Project=2C_DiST_=E2=80=93_Universit?= =?utf-8?q?=C3=A0_di_Napoli_Parthenope=29?= Message-ID: <20190927150759.Horde.eYjQQNsWlgmpRlBvYpynkg2@webmail.uniparthenope.it> The Universit? degli Studi di Napoli ?Parthenope?, Dipartimento di Scienze e Tecnologie (DiST), announces a public call for applications, considering qualifications and interviews, for the assignation n. 2 research grants for the following research activity related to the project Smart Energy Efficiency & Environment for Industry - SMART SE4I: Development of an intelligent video surveillance system prototype by using machine / deep learning techniques: study of tracking and positioning techniques for the implementation of geofencing policies. Scientific responsible of the research grant: Dr. Antonino Staiano Supervisors of the first grant: Dr. Antonino Staiano and Dr. Fabio Narducci Supervisor of the second grant: Prof. Angelo Ciaramella Website: http://www.trasparenza.uniparthenope.it/Trasparenza/bandi_3a.asp?id=EI4&id2=EI&TRS_Page=0 The duration of the research grant is 12 months renewable if the scientific manager receives a positive opinion and funds are available on the balance sheet. The gross amount of the research grant is ?30.000, inclusive of all the taxes to be borne by the recipient of the grant; this amount does not include the burdens paid by the Universit? di Napoli ?Parthenope?. The research grant is paid in monthly instalments. Candidates allowed to participate in the selection are only those in possession of: - a scientific professional curriculum suitable for carrying out the research activity, as long as it is relevant to the scientific sector for which the grant is awarded; - the following qualifications and professional experience: # Post-graduate degrees in Computer Science (LM-18), Computer Engineering (LM-32), Mathematics (LM-18), Physics (LM-32) or any other equivalent title in the disciplines relating to the Information and Communication Technologies, pursuant to Ministerial Decree n. 509/1999, 270/2004 or university degree (with a course duration of not less than 4 years, as referred to in the pre-existing academic regulations pursuant to D.M. n. 509/1999) or qualification obtained abroad, recognized as equivalent or equivalent to the Italian degree on the basis of international agreements, or in the manner referred to in art. 332 of the T.U. n. 1592/1933. # PhD in Computer Science, Computer Engineering or within the scientific themes for which the grant is awarded. - The following titles are preferential: # Documented experience in the field Computer Vision, Image Processing, Machine Learning and Deep Learning, Object Positioning and Tracking. More information: For more details about the position, please contact Dr. Antonio Maratea (antonio.maratea at uniparthenope.it). For instructions on how to apply, please go to http://www.trasparenza.uniparthenope.it/Trasparenza/bandi_3a.asp?id=EI4&id2=EI&TRS_Page=0 From angelo.ciaramella at uniparthenope.it Fri Sep 27 09:10:14 2019 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Fri, 27 Sep 2019 15:10:14 +0200 Subject: Connectionists: =?utf-8?q?Call_for_application_for_Post-Doc_Resea?= =?utf-8?q?rch_Grants_=28SMART_SE4I_Project=2C_DiST_=E2=80=93_Universit?= =?utf-8?q?=C3=A0_di_Napoli_Parthenope=29?= Message-ID: <20190927151014.Horde.8JU2fmnO6_TrhlY9M90Xwg5@webmail.uniparthenope.it> The Universit? degli Studi di Napoli ?Parthenope?, Dipartimento di Scienze e Tecnologie (DiST), announces a public call for applications, considering qualifications and interviews, for the assignation n. 2 research grants for the following research activity related to the project Smart Energy Efficiency & Environment for Industry - SMART SE4I: Development of an intelligent video surveillance system prototype by using machine / deep learning techniques: study of a multimodal biometric and license plate key as an access mode to controlled areas. Scientific responsible of the research grant: Dr. Antonino Staiano Supervisors of the first grant: Prof. Francesco Camastra Supervisor of the second grant: Dr. Alessio Ferone Website: http://www.trasparenza.uniparthenope.it/Trasparenza/bandi_3a.asp?id=EI4&id2=EI&TRS_Page=0 The duration of the research grant is 12 months renewable if the scientific manager receives a positive opinion and funds are available on the balance sheet. The gross amount of the research grant is ?30.000, inclusive of all the taxes to be borne by the recipient of the grant; this amount does not include the burdens paid by the Universit? di Napoli ?Parthenope?. The research grant is paid in monthly instalments. Candidates allowed to participate in the selection are only those in possession of: - a scientific professional curriculum suitable for carrying out the research activity, as long as it is relevant to the scientific sector for which the grant is awarded; - the following qualifications and professional experience: # Post-graduate degrees in Computer Science (LM-18), Computer Engineering (LM-32), Mathematics (LM-18), Physics (LM-32) or any other equivalent title in the disciplines relating to the Information and Communication Technologies, pursuant to Ministerial Decree n. 509/1999, 270/2004 or university degree (with a course duration of not less than 4 years, as referred to in the pre-existing academic regulations pursuant to D.M. n. 509/1999) or qualification obtained abroad, recognized as equivalent or equivalent to the Italian degree on the basis of international agreements, or in the manner referred to in art. 332 of the T.U. n. 1592/1933. # PhD in Computer Science, Computer Engineering or within the scientific themes for which the grant is awarded. - The following titles are preferential: # Documented experience in the field Computer Vision, Image Processing, Machine Learning and Deep Learning, Object Positioning and Tracking. More information: For more details about the position, please contact Dr. Antonio Maratea (antonio.maratea at uniparthenope.it). For instructions on how to apply, please go to http://www.trasparenza.uniparthenope.it/Trasparenza/bandi_3a.asp?id=EI4&id2=EI&TRS_Page=0 From Pavis at iit.it Fri Sep 27 05:18:31 2019 From: Pavis at iit.it (Pavis) Date: Fri, 27 Sep 2019 09:18:31 +0000 Subject: Connectionists: Postdoc position on deep learning for online 3D scene understanding from images - [ Postdoc ] 77483 Message-ID: <23b7e0a2ca6845548bd81166eec19a53@iit.it> Postdoc position on deep learning for online 3D scene understanding from images - [ Postdoc ] 77483 Workplace: IIT, Genova, Italy The Visual Geometry and Modelling (VGM) Research Line at IIT invites qualified applicants to submit their CVs for a Postdoc position in Genoa under the supervision of Dr. Alessio Del Bue. The VGM mission is to provide computational tools for the large-scale understanding of data from the nano up to the macro scale level. With a privileged focus on image and video data, the main lab goal is to research and apply methods to boost the advances of life scientists and engineers in untangling and modelling the (big) data as provided by modern sensors (e.g. high-resolution cameras, time-lapse microscopy, 3D scanners). The scientific core of the Line is related to the research fields of Computer Vision, Signal Processing and Machine Learning with the primary goal to provide algorithms for: Reality Capture: 3D reconstruction from images, sound and range data; Dynamic 3D scene understanding from video and other sensor input; Large scale data clustering and modelling for Life Science and Engineering. This open position is financed in the context of the European Project MEMEX ? an interdisciplinary effort to provide Augmented Reality (AR) systems to impact the European society at large. The candidate will have the opportunity to work on realistic problems involving leading European research centers and companies with the aim to create a novel AR platform able to understand the semantic scene structure of the environment using an RGB video stream from a smartphone. The research topics on 3D scene understanding are related to the recent VGM achievements in structure from motion, object scene 3D reconstruction, and semantic object 3D localization by integrating deep learning approaches with multi-view geometrical reasoning. Such approaches will leverage massive worldwide geolocalized data as provided by project partners to finally deploy a mobile app that understands and localizes each semantic element in a generic scene. Proven scientific track record on major computer vision conferences/journals (CVPR, ICCV, ECCV, TPAMI, IJCV, etc.) is a criteria for the selection as well as experience on programming with ARCore and ARKit augmented reality frameworks. Experience on deep learning is considered a plus for this position. At the time of the application, eligible candidates should have a Ph.D. degree in Computer Vision, Engineering, Robotics or related fields. The successful candidate will be offered a competitive salary commensurate 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 two referees to pavis at iit.it quoting ?Postdoc MEMEX position BC 77483? in the email subject. The call will remain open until the position is filled but a first deadline for evaluation of candidates will be November 1st, 2019. The position will be approved pending signature of the grant agreement 870743 by the European Commission. 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. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Sat Sep 28 14:28:16 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Sat, 28 Sep 2019 20:28:16 +0200 Subject: Connectionists: [Call for proposals] ECML 2021 Message-ID: An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Sun Sep 29 05:47:31 2019 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Sun, 29 Sep 2019 09:47:31 +0000 Subject: Connectionists: CFP - 10th IEEE International Conference on Development and Learning (ICDL), Chile September 2020 Message-ID: <6AF0DA7D-5E3D-47BF-BC85-E6F07D3E3B7F@manchester.ac.uk> CALL FOR PAPERS: 10th IEEE International Conference on Development and Learning (ICDL) 7th-10th September 2020, Valparaiso, Chile Web page: https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Submission deadline: 15th March 2020 Author notification: 15th May 2020 Camera ready due: 1st July 2020 Conference: 7th-10th September 2020 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies. ICDL is a highly selective annual international conference that aims to showcase and share the very best interdisciplinary and multidisciplinary research on how humans and animals develop sensing, reasoning and actions. ICDL community focusses on the understanding of how biological agents take advantage of interaction with social and physical environments to develop their cognitive capabilities. Moreover, how this knowledge can be used to improve future computing and robotic systems. We invite submissions for the conference to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== The primary list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Submissions ==== Authors are invited to submit original and unpublished papers of six pages with the possibility of two-extra pages at a fee. Submissions are in the IEEE conference template. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. For more information about submissions, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicol?s Navarro-Guerrero, and Mar?a-Jos? Escobar Bridge Chairs: Minoru Asada, Fr?d?ric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Crist?bal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee, -------------- next part -------------- An HTML attachment was scrubbed... URL: From blink.yu at mdpi.com Sun Sep 29 04:11:05 2019 From: blink.yu at mdpi.com (Blink Yu) Date: Sun, 29 Sep 2019 16:11:05 +0800 Subject: Connectionists: CFP: Special Issue of Algorithms on Graph-Theoretical Algorithms and Hybrid/Collaborative Technologies Message-ID: <0d6cfb3e-b0ab-2408-9cdf-8f12b9f00bfe@mdpi.com> Dear Colleagues, We invite you to submit original research contributions to a special issue of Algorithms on "Graph-Theoretical Algorithms and Hybrid/Collaborative Technologies." This issue is intended to address the growing interest in, and demand for, the task of augmenting graph-theoretical algorithms with complementary, integrative or supporting technologies. We seek papers that advance the forefront of knowledge, focusing on natural synergies between graph-theoretical algorithms and complementary technologies, broadly interpreted. Machine learning provides a timely example. Bayesian analysis, constraint satisfaction, mathematical programming, parallel computing and statistical pre- and post- processing are but a few others. The deadline for submission to this special issue is 31 January 2020. Authors are encouraged, however, to submit at their earliest convenience. Contributions will be continuously reviewed. Accepted papers will be published without delay. Both theoretical and applications-oriented submissions are welcomed. For details about this special issue, please visit: https://www.mdpi.com/journal/algorithms/special_issues/GraphTheorl_Algorithms. Information about the MDPI submission process is available here: http://www.mdpi.com/journal/algorithms/instructions. Please feel free to distribute this invitation to others in your department or laboratory. Algorithms (ISSN 1999-4893; CODEN: ALGOCH) is an international open access journal published quarterly by MDPI. It is indexed by EI, ESCI and Scopus. As indicated by several studies, open access (unlimited and free access by readers) increases publicity and promotes more frequent citations. As open access is supported by authors and their institutions, an Article Processing Charge (APC) of CHF 1000 applies to accepted papers. You may be entitled to a discount if you have previously received a discount code or if your institute is participating in the MDPI Institutional Open Access Program (IOAP). For more information see: http://www.mdpi.com/about/ioap. If you are interested in submitting a paper to this special issue, please let us know by sending us a tentative title and abstract. We look forward to receiving your contributions. Michael A. Langston and Bradley J. Rhodes Guest Editors About the journal. Algorithms? focus areas are computer science, theory, methods and interdisciplinary applications, data and information systems, software engineering, artificial intelligence, automation and control systems. Technical research monographs, review articles and short communications are invited. Submitted papers must not have been published previously, nor be under consideration for publication elsewhere. Exceptions may be made for contributions that represent highly expanded versions of prior conference proceedings. All submissions will be thoroughly peer reviewed. Typescripts should be submitted online after registering at www.mdpi.com. Accepted articles will be published continuously, and will be listed together on the special issue website. A guide for authors and other information related to the submission of papers is available on the "Instructions for Authors" page. -- Mr. Blink Yu Managing Editor E-Mail: blink.yu at mdpi.com Skype: live:c91693ac8277e1f0 -- MDPI Wuhan Office No.6 Jingan Road, 430064 Wuhan, China MDPI Postfach, CH-4020 Basel, Switzerland http://www.mdpi.com -- Disclaimer: MDPI recognizes the importance of data privacy and protection. We treat personal data in line with the General Data Protection Regulation (GDPR) and with what the community expects of us. The information contained in this message is confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this message in error, please notify me and delete this message from your system. You may not copy this message in its entirety or in part, or disclose its contents to anyone. From george at cs.ucy.ac.cy Sun Sep 29 09:33:21 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Sun, 29 Sep 2019 16:33:21 +0300 Subject: Connectionists: 14th International Conference on Research Challenges in Information Science (RCIS 2020): Third Call for Papers In-Reply-To: <21AAA08E-D19C-418D-821C-FF9EFD1616CE@cs.ucy.ac.cy> References: <44330110-137F-4B56-B4BE-CDD88B280A8F@cs.ucy.ac.cy> <21AAA08E-D19C-418D-821C-FF9EFD1616CE@cs.ucy.ac.cy> Message-ID: *** Third Call for Papers *** 14th International Conference on Research Challenges in Information Science (RCIS 2020) Royal Apollonia Beach Hotel 5*, Limassol, Cyprus May 20-22, 2020, Limassol, Cyprus http://rcis-conf.com/ Abstract submission deadline: January 20, 2020 Paper submission deadline: January 27, 2020 (AoE) (Proceedings to be published by Springer; Special Issue in DKE) SCOPE AND TOPICS RCIS aims to bring together scientists, researchers, engineers and practitioners from a wide range of information science fields and to provide opportunities for knowledge sharing and dissemination. RCIS 2020 will continue paying attention to traditional topics at the conference; in addition, we solicit submissions aligned the special theme of Information Science in the Days of Artificial Intelligence. We understand AI in a broad sense, including machine learning, self-adaptation, logic-based reasoning, automation, agents and multiagent systems, natural language processing, etc. RCIS welcomes submissions from the whole spectrum of the information science field. The list of themes and topics includes, but is not limited to: Information Systems and their Engineering ? Requirements Engineering ? Software Testing ? Information Security and Risk ? Method Engineering User-Oriented Approaches ? Social Computing and Social Network Analysis ? User-Centred Design ? Collaborative Computing ? Human Factors in Information Systems Data and Information Management ? Databases and Information ? Information Search and Discovery ? Conceptual Modelling and Ontologies Business Process Management ? Business Process Engineering and Reengineering ? Process Mining ? Enterprise Engineering Domain-specific IS Engineering ? E-Health, e-Government, e-Commerce, ? ? Industry 4.0 ? Web-Based Applications and Services ? Smart Cities Data Science ? Big Data & Business Analytics ? Decision Information Systems ? Knowledge Management ? Knowledge Discovery from Data Information Infrastructures ? Cyber-Physical Systems ? Web Information Systems ? Grid Computing and Cloud Computing ? Internet of Things ? Pervasive and Mobile Computing Reflective Research and Practice ? Research Methodologies in Information Science ? Impact of Information on the Enterprise and the Individual ? Lifecycle Models ? Design Science and Rationale Tutorials, Doctoral Consortium, Posters & Demos will complement the main conference. RCIS STEERING COMMITTEE Sa?d Assar; Marco Bajec; Pericles Loucopoulos; Haralambos Moratidis; Selmin Nurcan; Oscar Pastor; Jolita Ralyt?; Colette Rolland. SUBMISSION PROCESS Papers shall be formatted according to the Springer LNCS/LNBIP conference proceedings template (for LaTeX and Word): https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines . Papers that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at RCIS 2020. Papers should be in English and must be associated to one of the following categories: Technical solution papers (max 16 pages Springer) present solutions that are novel or significantly improve existing approaches. A technical solution paper must include a preliminary validation of the proposed solution, and results must be stated clearly enough so that it is possible to validate them in follow-up research. Evaluation papers (max 16 pages Springer) evaluate existing problem situations or validate proposed solutions through scientific means, i.e., by empirical studies, experiments, case studies, simulations, mathematical proofs, etc. The research method must be sound and appropriate. Industrial practice and experience papers (max 16 pages Springer) thoroughly present problems or challenges encountered in practice, elaborate on success or failure with existing approaches, or report on industrial practice (e.g., methods and tools). A paper in this category shall provide a clear context, detail the problem or the industrial practice, and explain the lessons learned. Work in progress papers (max 8 pages Springer) present relevant preliminary results across the spectrum of information science. These papers can either present a novel technical solution, or report on a preliminary evaluation of a technique. Please note that the maximum length of the paper includes references, appendices, etc. The submission site is https://www.easychair.org/conferences/?conf=rcis2020 . By submitting a paper, the authors agree that at least one of them will register to the conference and present the paper. The appearance of a paper in the Springer proceedings is dependent on the registration of one author within the early registration deadline on March 31, 2020. SPECIAL ISSUE A selection of the best accepted papers of RCIS?20, chosen by a dedicated committee, will be invited to submit an extended version of the RCIS paper to the Data & Knowledge Engineering (DKE) journal published by Elsevier (https://www.journals.elsevier.com/data-and-knowledge-engineering). The selection of the papers to invite will be based on the review scores and arguments, and the potential for extension. IMPORTANT DATES ? Regular paper submission deadline: January 27, 2020 (AoE) ? Notification to authors and registration opening: March 15, 2020 ? Author registration deadline for all paper types: March 31, 2020 ? Camera-ready copy deadline for all paper types: March 31, 2020 ? Conference: May 20-22, 2020 CONFERENCE COMMITTEES General Chairs ? George A. Papadopoulos, University of Cyprus, Cyprus ? Pericles Loucopoulos, Harokopio University of Athens, Greece Organising Chair ? Petros Stratis, Easy Conferences LTD., Cyprus Program Chairs ? Jelena Zdravkovic, Stockholm University, Sweden ? Fabiano Dalpiaz, Utrecht University, Netherlands Doctoral Consortium Chairs ? Raian Ali, Bournemouth University, United Kingdom ? Sergio Espa?a, Utrecht University, Netherlands Tutorial Chairs ? Estefania Serral Asensio, KU Leuven, Belgium ? Ignacio Panach, University of Valencia, Spain Posters & Demos Chairs ? Elena Kornyshova, Conservatoire National des Arts et M?tiers, France ? Marcela Ruiz, Zurich University of Applied Sciences, Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Sun Sep 29 10:15:25 2019 From: irina.illina at loria.fr (Irina Illina) Date: Sun, 29 Sep 2019 16:15:25 +0200 (CEST) Subject: Connectionists: Post-doc/PhD position Pattern mining for Neural Networks debugging: application to speech recognition In-Reply-To: <805516145.55459459.1569766433001.JavaMail.zimbra@loria.fr> References: <368574868.1364280.1555270264722.JavaMail.zimbra@loria.fr> <2036873445.6556720.1558277932039.JavaMail.zimbra@loria.fr> <805516145.55459459.1569766433001.JavaMail.zimbra@loria.fr> Message-ID: <997091700.55459652.1569766525873.JavaMail.zimbra@loria.fr> Post-doc/PhD position Pattern mining for Neural Networks debugging: application to speech recognition Advisors : Elisa Fromont & Alexandre Termier, IRISA/INRIA RBA ? Lacodam team (Rennes) Irina Illina & Emmanuel Vincent, LORIA/INRIA ? Multispeech team (Nancy) firstname.lastname at inria.fr Location: INRIA RBA, team Lacodam (Rennes) Deadline to apply : October 30th 2019. Starting date : December 2019 -January 2020 Keywords: discriminative pattern mining, neural networks analysis, explainability of blackbox models, speech recognition. Context: Understanding the inner working of deep neural networks (DNN) has attracted a lot of attention in the past years [1, 2] and most problems were detected and analyzed using visualization techniques [3, 4]. Those techniques help to understand what an individual neuron or a layer of neurons are computing. We would like to go beyond this by focusing on groups of neurons which are commonly highly activated when a network is making wrong predictions on a set of examples. In the same line as [1], where the authors theoretically link how a training example affects the predictions for a test example using the so called ?influence functions?, we would like to design a tool to ?debug? neural networks by identifying, using symbolic data mining methods, (connected) parts of the neural network architecture associated with erroneous or uncertain outputs. In the context of speech recognition, this is especially important. A speech recognition system contains two main parts: an acoustic model and a language model. Nowadays models are trained with deep neural networks-based algorithms (DNN) and use very large learning corpora to train an important number of DNN hyperparameters. There are many works to automatically tune these hyperparameters. However, this induces a huge computational cost, and does not empower the human designers. It would be much more efficient to provide human designers with understandable clues about the reasons for the bad performance of the system, in order to benefit from their creativity to quickly reach more promising regions of the hyperparameter search space. Description of the position : This position is funded in the context of the HyAIAI ?Hybrid Approaches for Interpretable AI? INRIA project lab (https://www.inria.fr/en/research/researchteams/inria-project-labs). With this position, we would like to go beyond the current common visualization techniques that help to understand what an individual neuron or a layer of neurons is computing, by focusing on groups of neurons that are commonly highly activated when a network is making wrong predictions on a set of examples. Tools such as activation maximization [8] can be used to identify such neurons. We propose to use discriminative pattern mining, and, to begin with, the DiffNorm algorithm [6] in conjunction with the LCM one [7] to identify the discriminative activation patterns among the identified neurons. The data will be provided by the MULTISPEECH team and will consist of two deep architectures as representatives of acoustic and language models [9, 10]. Furthermore, the training data will be provided, where the model parameters ultimately derive from. We will also extend our results by performing experiments with supervised and unsupervised learning to compare the features learned by these networks and to perform qualitative comparisons of the solutions learned by various deep architectures. Identifying ?faulty? groups of neurons could lead to the decomposition of the DL network into ?blocks? encompassing several layers. ?Faulty? blocks may be the first to be modified in the search for a better design. The recruited person will benefit from the expertise of the LACODAM team in pattern mining and deep learning (https://team.inria.fr/lacodam/) and of the expertise of the MULTISPEECH team (https://team.inria.fr/multispeech/) in speech analysis, language processing and deep learning. We would ideally like to recruit a 1 year (with possibly one additional year) post-doc with the following preferred skills: ? Some knowledge (interest) about speech recognition ? Knowledgeable in pattern mining (discriminative pattern mining is a plus) ? Knowledgeable in machine learning in general and deep learning particular ? Good programming skills in Python (for Keras and/or Tensor Flow) ? Very good English (understanding and writing) However, good PhD applications will also be considered and, in this case, the position will last 3 years. The position will be funded by INRIA (https://www.inria.fr/en/). See the INRIA web site for the post-doc and PhD wages. The candidates should send a CV, 2 names of referees and a cover letter to the four researchers (firstname.lastname at inria.fr) mentioned above. Please indicate if you are applying for the post-doc or the PhD position. The selected candidates will be interviewed in June for an expected start in September 2019. Bibliography: [1] Pang Wei Koh, Percy Liang: Understanding Black-box Predictions via Influence Functions. ICML 2017: pp 1885-1894 (best paper). [2] Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals: Understanding deep learning requires rethinking generalization. ICLR 2017. [3] Anh Mai Nguyen, Jason Yosinski, Jeff Clune: Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. CVPR 2015: pp 427-436. [4] Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus: Intriguing properties of neural networks. ICLR 2014. [5] Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi: Deep Text Classification Can be Fooled. IJCAI 2018: pp 4208-4215. [6] Kailash Budhathoki and Jilles Vreeken. The difference and the norm?characterising similarities and differences between databases. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pages 206?223. Springer, 2015 [7] Takeaki Uno, Tatsuya Asai, Yuzo Uchida, and Hiroki Arimura. Lcm: An efficient algorithm for enumerating frequent closed item sets. In Fimi, volume 90. Citeseer, 2003. [8] Dumitru Erhan, Yoshua Bengio, Aaron Courville, and Pascal Vincent. Visualizing higher-layer features of a deep network. University of Montreal, 1341(3):1, 2009. [9] G. Saon, H.-K. J. Kuo, S. Rennie, M. Picheny: The IBM 2015 English conversational telephone speech recognition system?, Proc. Interspeech, pp. 3140-3144, 2015. [10] W. Xiong, L. Wu, F. Alleva, J. Droppo, X. Huang, A. Stolcke : The Microsoft 2017 Conversational Speech Recognition System, IEEE ICASSP, 2018. -- Associate Professor Lorraine University LORIA-INRIA office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.bach at ucl.ac.uk Mon Sep 30 11:25:01 2019 From: d.bach at ucl.ac.uk (Bach, Dominik) Date: Mon, 30 Sep 2019 15:25:01 +0000 Subject: Connectionists: Post Doc position in ERC-funded project at UCL: VR, modelling, ML, MEG - please circulate In-Reply-To: References: Message-ID: Post doc position in ERC-funded project "Action Selection under Threat", involving VR, behavioural experiments and modelling, wearable magnetoencephalography Location: University College London (UK), Institute of Neurology, Max-Planck/UCL Centre for Computational Psychiatry and Ageing Research and Wellcome Centre for Human Neuroimaging Project lead: Dominik R Bach is a principal research fellow at UCL The project will look at the cognitive-computational control of motor behaviour under acute, immediate threat. We will set up an immersive virtual reality (VR) environment, in which people can move to avoid various threats. We will record people's behaviour using optical and video tracking, and use machine-learning to structure motor trajectories. Scenarios will then be tweaked to expose limitations of the psychological or computational mechanisms that govern behaviour. Finally, we will use wearable magnetoencephalography (OPMs) at the WCHN to investigate the neural basis of these algorithms. We are currently looking for candidates with a PhD in cognitive-computational (neuro)science, applied machine-learning, biomechanics, motor science, or a quantitative field of psychology (e.g. vision, perception, behavioural economics), or similar. More information and how to apply: https://bit.ly/2m7ok7R Closing date: 17 October 2019 d.bach at ucl.ac.uk Apologies for cross-posting. -------------- next part -------------- An HTML attachment was scrubbed... URL: