From mtkostecki at gmail.com Mon Jul 1 02:00:00 2019 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Mon, 1 Jul 2019 08:00:00 +0200 Subject: Connectionists: Nencki School On Behavioral Neuroscience - deadline tomorrow Message-ID: Dear all, I would like to inform you that tomorrow is the deadline for the registration for Nencki Open Lab Summer School on Behavioral Neuroscience (Arduino, Bonsai, behavioral data analysis in Python & more). Please find more information on our webpage - www.nenckiopenlab.org/school. Best, Mateusz Kostecki -------------- next part -------------- An HTML attachment was scrubbed... URL: From mail at berndporr.me.uk Mon Jul 1 04:47:29 2019 From: mail at berndporr.me.uk (Bernd Porr) Date: Mon, 1 Jul 2019 09:47:29 +0100 Subject: Connectionists: Paper: Forward propagation closed loop learning Message-ID: <1ca79e33-af74-b4d0-73c5-6809255e31dd@berndporr.me.uk> Dear all, we have a new paper out where we have propagated errors forwards (and not backwards) for closed loop learning / RL: "For an autonomous agent, the inputs are the sensory data that inform the agent of the state of the world, and the outputs are their actions, which act on the world and consequently produce new sensory inputs. The agent only knows of its own actions via their effect on future inputs; therefore desired states, and error signals, are most naturally defined in terms of the inputs. Most machine learning algorithms, however, operate in terms of desired outputs. For example, backpropagation takes target output values and propagates the corresponding error backwards through the network in order to change the weights. In closed loop settings, it is far more obvious how to define desired sensory inputs than desired actions, however. To train a deep network using errors defined in the input space would call for an algorithm that can propagate those errors forwards through the network, from input layer to output layer, in much the same way that activations are propagated. In this article, we present a novel learning algorithm which performs such ?forward-propagation? of errors. We demonstrate its performance, first in a simple line follower and then in a 1st person shooter game." https://journals.sagepub.com/doi/10.1177/1059712319851070 The PDF of the accepted submission version can be found on my personal homepage: https://www.berndporr.me.uk/Porr_Miller_FCL_2019_Adaptive_Behaviour.pdf https://www.berndporr.me.uk/publications.php The code is available here: https://github.com/glasgowneuro/feedforward_closedloop_learning A video clip of the learning behaviour of a simple FPS agent is here: https://www.youtube.com/watch?v=QLVDBdlAQLY http://www.glasgowneuro.tech/fcl/ Best, /Bernd Porr & Paul Miller -- www: http://www.glasgowneuro.tech/ http://www.tinnitustailor.tech http://www.attys.tech http://www.linux-usb-daq.co.uk From maximilian.scherer at uni-tuebingen.de Mon Jul 1 18:38:50 2019 From: maximilian.scherer at uni-tuebingen.de (Maximilian Scherer) Date: Tue, 2 Jul 2019 00:38:50 +0200 Subject: Connectionists: Postdoc and PhD student positions offered Message-ID: We have open positions in the Division of Functional and Restorative Neurosurgery, (Head: Prof. Gharabaghi), University Hospital Tuebingen, Germany. Our research group unites scientists, engineers, programmers and physicians following a common goal: To enhance the understanding of the human brain and to apply this knowledge to improve the lives of patients with neurological disorders. Representative work from the last months: Naros et al. Mov Disord. 2018, Khademi et al. Cereb Cortex. 2018, Kraus et al. J Neurosienci. 2018, Guggenberger et al. Brain Stimul 2018, Naros et al. Cereb Cortex 2019. What you can expect: - Design and evaluate the effects of novel brain stimulation paradigms. - Expand the understanding of the human brain. - Work with in vivo data. Examine electrophysiological signals from patients/healthy controls. - We support you with a broad range of pre-built analysis tools and assist you in designing your own. - 3-year-contract, third-party funded. Qualifications: - Master?s degree or PhD in the field of Neuroscience, Cognitive Science, Biology, Computer Science, Engineering, Data Science or related fields. - Solid understanding of statistical data analysis, digital signal processing and/or programming principles. - Programming skills in Python or MATLAB and/or experience in applying statistical tools. - Experience with relevant techniques, i.e. tDCS, TMS, NMES, M/EEG, and/or EMG. - Team-player Application: - Motivation letter - CV including publication record - Names and e-mail addresses of three professional references - Transcript of Records and TOEFL scores or other evidence of English and/or German proficiency. Application deadline is 15.07.2019 Please send your significant application electronically (PDF-files only) to: VWKopf_Sekr at med.uni-tuebingen.de University Hospital Tuebingen Div. Functional and Restorative Neurosurgery -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Mon Jul 1 12:10:05 2019 From: suashdeb at gmail.com (Suash Deb) Date: Mon, 1 Jul 2019 21:40:05 +0530 Subject: Connectionists: Extended Deadline for ISCMI19 -Johannesburg (in memory of Prof. Lotfi Zadeh) Message-ID: Dear esteemed colleagues, Warm greetings. Hope all is well with you. This is to inform you that on numerous requests from the peers, the deadline for submission of manuscripts for ISCMI19, an event in memory of life & work of Prof. Lotfi Zadeh, has been extended till *July 30, 2019* http://iscmi.us It would be pertinent to mention abt the IEEE publication of conference proceedings & uploading of the same at IEEE Xplore ( as has been done for all the hitherto held ISCMI as well as the scope of some of the conference papers for reputed (SCIE & Scopus indexed) journals http://iscmi.us/journal.html Hope to receive a no. of quality papers from you/your peers soon. With kind rgds, Suash General Chair, ISCMI19 -------------- next part -------------- An HTML attachment was scrubbed... URL: From salah at boun.edu.tr Mon Jul 1 18:12:39 2019 From: salah at boun.edu.tr (Albert Ali Salah) Date: Tue, 2 Jul 2019 00:12:39 +0200 Subject: Connectionists: CFP: 10th Workshop on Human Behavior Understanding (HBU@ICCV) In-Reply-To: References: Message-ID: Dear colleagues, The deadline for the 10th HBU is extended to 8th July. Please note that the submissions can be on the focus theme, as well as on the general topics of the HBU. Apologies for cross-posting... HBU Organizers ****************************** 10th Workshop on Human Behavior Understanding (HBU) In conjunction with the International Conference on Computer Vision (ICCV) 2019 27 October 2019, Seoul, Korea Focus Theme: Generating, Forging and Detecting Fake Human Behavioral Data https://project.inria.fr/whbu/ ****************************** CALL FOR PAPERS As in many other computer vision tasks, deep learning has brought revolutionary advances in human behaviour understanding from visual data. Deep models are now extremely effective not only in detecting and analyzing human faces, bodies and collective activities but also in generating realistic human-like behavioral data. From full-body deep fakes to AI-based translation dubbing, deep networks can now synthesize images and videos of humans such as they are virtually indistinguishable from real ones. The workshop will focus on recent advances and novel methodologies for generating human behaviour data, with special emphasis on approaches for forging images and videos depicting real-looking human faces and/or full bodies and on algorithms for detecting fake human-like visual data. The HBU workshops, organized since 2010 as a satellite to ICPR?10, AMI?11, IROS?12, ACM Multimedia?13, ECCV?14 and UBICOMP?15, ACM Multimedia?16, FG?18, ECCV?18 Conferences, aim to inspect developments in areas where smarter computers that can sense human behavior. These events have a unique aspect of fostering cross-pollination of different disciplines, bringing together researchers of mobile and ubiquitous computing, computer vision, multimedia, robotics, HCI, artificial intelligence, pattern recognition, interaction design, ambient intelligence, and psychology. The diversity of human behavior, the richness of multi-modal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform. Each edition of the HBU workshop had a different focus theme, dealing with a newly emerging topic or question in the automatic analysis of human behavior. The focus theme of this year is of high interest for computer vision researchers: Generating, Forging and Detecting Fake Human Behavioral Data. The automatic generation of visual contents is currently a very hot topic in the community. With this edition of the HBU workshops, we attempt to foster research on how to generate visual data (still images and videos) describing human behavior both from the applicative and methodological points of view. ****************************** TOPICS ICCV?2019 HBU workshop, in addition to covering the main themes of human behavior understanding, deals with generating human behavior data, with special emphasis on methodologies and approaches for forging images and videos depicting real-looking human faces and/or full bodies and on algorithms for detecting fake human-like visual data. Contributions based on deep neural architectures are welcome, as well as methods based on other techniques (e.g. parametric models). These contributions could address the following topics: *Human Behavior Analysis Systems* Action and activity recognition Affect analysis Face analysis Gaze, attention and saliency Gestures and haptic interaction Social signal processing Voice and speech analysis Theoretical frameworks of behavior analysis Data collection, annotation, and benchmarking User studies and human factors *Generating Visual data of Human Behavior* Methods for face synthesis and modification of facial attributes (e.g. age, expression). Approaches for generating human bodies and altering their properties (e.g. 3D pose, clothes). Techniques for forging human-like behavioral data Methodologies for counteracting adversarial attacks. Techniques for synthesizing visual data depicting collective human behaviour. Novel deep generative models for sequence-like data generation. Approaches to synthesize multi-modal human behavioral data. Applications (e.g. surveillance, entertainment, autonomous driving, fashion, robotics). Papers must be submitted online through the EasyChair submission system at: https://easychair.org/conferences/?conf=hbu2019 and will be double-blind peer-reviewed by at least two reviewers. Submissions should conform to the ICCV 2019 proceedings style. We expect two kinds of submissions: -Full papers of new contributions (8 pages NOT including references) -Short papers describing incremental/preliminary work (2 pages NOT including references) More info at: https://project.inria.fr/whbu/ ****************************** IMPORTANT DATES Regular Paper Submission: July 8th, 2019 Extended Abstract Submission: July 15th, 2019 Notification of Acceptance: July 31st, 2019 Camera-Ready: August 15th, 2019 ****************************** INVITED SPEAKERS Cristian Sminchisescu, Google & Lund University, DE Hao Li, University of Southern California, USA ****************************** ORGANIZERS: Xavier Alameda-Pineda, Inria, FR. Xiaoming Liu, Michigan State University, USA. Elisa Ricci, FBK & University of Trento, IT. Albert Ali Salah, Bogazi?i University, TR & Utrecht University, NL. Nicu Sebe, University of Trento, IT. Sergey Tulyakov, Snap Research, USA. -- Dr. Albert Ali Salah http://www.staff.science.uu.nl/~salah006/ Utrecht University Dept. Information and Computing Sciences; Bogazici University, Computer Engineering Dept. From stefano.rovetta at unige.it Tue Jul 2 06:59:03 2019 From: stefano.rovetta at unige.it (Stefano Rovetta) Date: Tue, 2 Jul 2019 12:59:03 +0200 Subject: Connectionists: Research assistant position: Machine learning for prognostic maintenance Message-ID: <23c6fff6-b497-3781-fd7e-209382806c3c@unige.it> ** Machine learning for prognostic maintenance Deadline for application: July 29, 2019 at noon Italian time. A 2-year research assistant position is available at DIBRIS, the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering of the University of Genova, Italy. The successful candidate will be involved in a joint project between the DIBRIS Machine Learning and Computational Intelligence group and a software company. The work will focus on applying advanced machine learning techniques to the problem of precise prediction of faults and other adverse events requiring maintenance in industrial machines. The expected outcome is a module that will add these capabilities to an existing CMMS suite ("computerized maintenance management system"). The position will be based in Genoa and La Spezia, Italy, and will likely start in September 2019. For inquiries, expressions of interest (with a CV and a half-page motivation letter), and more informations about the application process, please write to: stefano.rovetta at unige.it From p.gleeson at ucl.ac.uk Tue Jul 2 07:47:59 2019 From: p.gleeson at ucl.ac.uk (Gleeson, Padraig) Date: Tue, 2 Jul 2019 11:47:59 +0000 Subject: Connectionists: Open Source Brain workshop 9-11 Sept 2019 & new publication Message-ID: <20e4323a-f40e-2886-a057-3eddbd841b15@ucl.ac.uk> [Apologies if you receive multiple copies of this due to cross-posting] The 2019 Open Source Brain workshop will be held in Alghero, Sardinia on 9-11th September 2019. Full details: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 Open Source Brain (http://www.opensourcebrain.org) is a platform for sharing and collaboratively developing models in computational neuroscience. Models of cells and circuits in standardised formats can be visualised, analysed and simulated through a standard web browser. A key driver for the development of this technology is to improve accessibility, scientific scrutiny, reproducibility and reuse of models of brain function. The platform is described in a recent paper in Neuron: https://www.cell.com/neuron/fulltext/S0896-6273(19)30444-1 The 2019 OSB Workshop will highlight the latest features of OSB and engage current and future users of the platform through invited talks, posters, hands on demonstrations, and user presentations. Since we are substantially expanding the functionality of Open Source Brain to enable sharing of standardized experimental data used to build and test the models of neurons and circuits, this year?s meeting will have two key themes: 1) Accessible sharing of cellular neuroscience data Through support for the Neurodata Without Borders (NWB) format, OSB will facilitate sharing of multiple types of experimental data used to constrain computational models, including electrophysiological recordings, Ca2+ fluorescence imaging, 2D, 3D and 4D imaging and behavioural data. Challenges, requirements and solutions to data standardization will be discussed. 2) Modelling cortical structures across scales Cortical networks are modelled at many scales from abstract representations of interacting populations (neural masses) to networks of biophysically and morphologically detailed cell models. NeuroML is being expanded to cover a greater range of these models, which will allow them to be shared and simulated on OSB, facilitating comparison of models and ideas between researchers. This ongoing work is taking place as part of the SIG on Standardised Representations of Network Structures. Registration The registration fee for the meeting for 3 days will be ?130. This will help cover organisation and speaker costs, meeting room hire, lunch, tea and coffee for 3 days and one workshop dinner. Please register here. Registration closes on 1st September 2019. Confirmed speakers Yazan Billeh (Allen Institute, USA) Matteo Cantarelli (MetaCell Ltd) Alex Cayco Gajic (UCL, UK & ?cole Normale Sup?rieure, France) Sharon Crook (Arizona State University, USA) Jeffrey S. Diamond (NINDS, USA) Matt Earnshaw (University College London, UK) Jan Fousek (Aix Marseille Universit?, France) Padraig Gleeson (University College London, UK) Boris Marin (Universidade Federal do ABC, Brazil) Diego Restrepo (University of Colorado, USA) Simon Schultz (Imperial College, UK) Angus Silver (University College London, UK) Sacha van Albada (J?lich Research Centre, Germany) For more details please see: http://www.opensourcebrain.org/docs/Help/Meetings#OSB_2019 The OSB 2019 organising committee Padraig Gleeson Matt Earnshaw Angus Silver -------------- next part -------------- An HTML attachment was scrubbed... URL: From sbminna at gmail.com Wed Jul 3 05:12:38 2019 From: sbminna at gmail.com (Inna S) Date: Wed, 3 Jul 2019 12:12:38 +0300 Subject: Connectionists: Faculty Positions at the Gonda 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 dimitri.ognibene at gmail.com Wed Jul 3 12:43:42 2019 From: dimitri.ognibene at gmail.com (Dimitri Ognibene) Date: Wed, 3 Jul 2019 17:43:42 +0100 Subject: Connectionists: [Job] 4yrs Senior Postdoc in: Modelling beliefs dynamics of social media users with machine learning methodologies Message-ID: <197C1749-7B4E-4777-8C6A-8BE562255649@gmail.com> *Postdoc and Phd Positions in: Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)* Project: Courage Applications are invited for a 4 years position of Senior Postdoctoral Research Officer and a PhD shcolarship on ht project ?COURAGE: A Social Media Companion Safeguarding and Educating Students?. This project is an international collaboration funded by VolkswagenStiftung (Volkswagen Foundation) as part of the Artificial Intelligence and the Society of the Future funding initiative. The project partners include the Universitat Pompeu Fabra (Spain), the Istituto per le Tecnologie Didattiche of the National Council of Research ITD-CNR (Italy), Hochschule Ruhr West (Germany) and the Rhine-Ruhr Institute for System Innovation (Germany). The project aims to develop a Virtual Social Media Companion that educates and supports teenage school students facing the threats of social media such as discrimination and biases as well as hate speech, bullying, fake news and other toxic content. The project involves a substantial experimentation aspect in collaboration with multiple schools around Europe. It will thus provide a unique chance to perform interventions to test the validity of social interaction theories and governance methods. The Essex team will drive two strands of this work, the machine-learning-based user modelling aspect and the process of analysing textual data drawing from our expertise in natural language processing (NLP). More specifically, we aim at developing Bayesian computational models of beliefs dynamics of social media users to support governance and educational strategies. These models will also be applied to evaluate socially relevant variables, such as trust and inclusion. We will build on and implement state-of-the-art NLP & AI methods to provide measurements of sentiment, bias, hatefulness, veracity, polarization, and sensationalism of social media content. In addition, we will drive forward the state of the art in detecting hate speech and biased content. The companion will actively counteract this kind of content, balancing it with opposite perspectives and proposing specifically themed challenges adopting ideas used in games. The successful candidate will be based in the School of Computer Science and Electronic Engineering at Colchester Campus of The University of Essex. The post is available for four years with a start date from September 2019. To apply: https://www.jobs.ac.uk/job/BSW396/senior-research-officer-in-social-media-modelling For more information: https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0 Applicants are encouraged to contact?Dr. Dimitri Ognibene (dimitri.ognibene at essex.ac.uk ) for informal enquiries and further information on research objectives. -- Dimitri Ognibene, PhD Lecturer in Computer Science and Artificial Intelligence Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ Skype: dimitri.ognibene -- Dimitri Ognibene, PhD Lecturer in Computer Science and Artificial Intelligence Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ Skype: dimitri.ognibene -------------- next part -------------- An HTML attachment was scrubbed... URL: From kilian.ollivier at sns.it Wed Jul 3 11:44:29 2019 From: kilian.ollivier at sns.it (Kilian) Date: Wed, 3 Jul 2019 17:44:29 +0200 Subject: Connectionists: [CFP] OSNEM: Special Issue on Dynamics ON and OF social networks and media Message-ID: <52f2117f-944b-e00c-2e6c-f3b50bbba92a@sns.it> CALL FOR PAPERS Elsevier - Online Social Networks and Media Journal http://www.journals.elsevier.com/online-social-networks-and-media/ Special Issue on Dynamics ON and OF social networks and media Submission Deadline: July 21st, 2019 ****************************************************************************************************************** Manuscripts can be submitted continuously until the deadline. Once a paper is submitted the review process will start immediately and after (maximum) 4-5 weeks (as soon as the review process of that paper is completed) the authors will receive the first notification. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published on the journal website. ****************************************************************************************************************** Online Social Networks and Media have a high scientific and economic value because the big data collected from these platforms provide a sort of social microscope to investigate and understand human behavior and interests, both in the cyber and in the physical world. Network Science is a powerful approach to study the relations, interactions, and the organization of these socio-technical systems. The analysis of network dynamics represents one of the biggest challenges emerged in recent years. Real-life networks cannot be considered anymore as static entities that we can pin to the wall and measure once and for all. They are, on the contrary, subject to several dynamic processes: * Dynamic ON the network. In this category fall all those phenomena that take place over a complex network structure and are constrained by it: examples are information propagation, epidemics, viral diffusion, word of mouth, etc. * Dynamic OF the network. As time goes by network topology may change, node and edges appear/vanish. Such perturbations, reflects the mutable interactions of relations between actors, of the evolution of the actors themselves. This special issue seeks high-quality scientific articles (both theoretical and experimental) and survey papers focusing on using OSNEM data for the analysis of dynamics ON and OF networks. Topics include, but are not limited to: Diffusion of information Evolutionary community/cluster discovery and tracking Network event detection Dynamic GNN / Graph embedding Dynamic network visualization Epidemic models on graphs Higher order networks Time-aware Link prediction Dynamical processes on networks Markovian dynamics on networks Dynamic network generative models Guest Editors Giulio Rossetti, ISTI-CNR, Italy Remy Cazabet, University of Lyon, France *** Instructions for submission *** Manuscripts must not have been previously published nor currently under review by other journals or conferences. Papers previously published in conference proceedings are eligible for submission if the submitted manuscript is a substantial revision and extension of the conference version. In this case, authors should indicate the previous publication(s) in the cover letter and are also required to submit their published conference article(s) and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www.editorialmanager.com/osnem. Please select ?SI_NetworkDynamics? when you reach the "Article Type" step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on Dynamics ON and OF social networks and media. For further information, please contact the guest editors at giulio.rossetti at isti.cnr.it OR remy.cazabet at univ-lyon1.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Wed Jul 3 13:34:36 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Wed, 3 Jul 2019 13:34:36 -0400 Subject: Connectionists: illusion submission deadline EXTENDED until July 16th: the 15th Best Illusion of the Year Contest In-Reply-To: <033f01d531c3$e2431ad0$a6c95070$@neuralcorrelate.com> References: <033f01d531c3$e2431ad0$a6c95070$@neuralcorrelate.com> Message-ID: <03fa01d531c5$987e73c0$c97b5b40$@neuralcorrelate.com> ***DUE TO POPULAR DEMAND*** The deadline for the 15th annual Best Illusion of the YearSM Contest has been extended. The FINAL (no exceptions) submission date is now *July 16th*! http://illusionoftheyear.com We are happy to announce the 15th edition of world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can now participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube or mp4 videos featuring novel illusions (unpublished, or published no earlier than 2018) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * -A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * -A video of yourself describing your illusion * -A video animation/enactment of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * -Significance to our understanding of the human mind and brain * -Simplicity of the description * -Sheer beauty * -Counterintuitive quality * -Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion, and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2019 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( smart at neuralcorrelate.com) until July 16, 2019. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From timvogels at gmail.com Thu Jul 4 05:46:19 2019 From: timvogels at gmail.com (Tim Vogels) Date: Thu, 4 Jul 2019 10:46:19 +0100 Subject: Connectionists: DEADLINE NEAR: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO in CAPE TOWN Message-ID: <77E303C6-1099-4D27-9BB2-EA7972942CE6@gmail.com> Dear all, The DEADLINE for next year?s IMBIZO is approaching very quickly, with only 4 days left. Don?t let this opportunity slip by, if you are hoping to join the most diverse neuroscience summer school at the most beautiful beach in the world! We are very excited to announce that we have three new faculty this year, adding Prof. Eve Marder, of Brandeis University, Gruber and Kavli Prize winner, past president of SfN and generally awesome person in Neuroscience, coming with Prof Arthur Wingfield, also of Brandeis and also awesome person in neuroscience. And Prof. Henning Sprekeler, Technical University Berlin, Bernstein Award winner, and ALSO generally awesome person in neuroscience. If you know anyone who would benefit from a diverse and extraordinary computational neuroscience summer school, please forward this information: IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2020 5 - 26 January 2020, Muizenberg Beach, Cape Town, South Africa http://imbizo.africa/ Application deadline: 8th July 2019 The #isiCNI2020 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of experimental and computational neuroscience. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to out generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particlualry for African applicants. We also hope to provide some travel bursaries for interrnational students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. * Application deadline: 8th July 2019 * Notification of results: late August 2019 Information and application https://imbizo.africa/ Questions? isicn.imbizo at gmail.com What is an Imbizo? \?m?bi?z?\ | Xhosa - Zulu A gathering of the people to share knowledge. CONFIRMED FACULTY Demba Ba - Harvard University Adrienne Fairhall - Washington University Peter Latham - University College London Timothy Lillicrap - Google DeepMind Eve Marder - Brandeis University Joseph Raimondo - University of Cape Town Srikanth Ramaswamy - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Evan Schaffer - Columbia University Anna Schapiro - University of Pennsylvania Henning Sprekeler - Technical University of Berlin Thomas Tagoe - University of Ghana Misha Tsodyks - Weiszmann Institute of Science Tim Vogels - University of Oxford Arthur Wingfield - Brandeis University Byron Yu - Carnegie Mellon University Tutors Everton Agnes University of Oxford Annik Carson - McGill University Chris Currin - University of Cape Town Callie Federer - University of Colorado Grace Lindsay - University College London Richard Pang - University of Washington Organisers Christopher Currin (University of Cape Town, South Africa) Emma Vaughan (Conference Managemant Centre) DIRECTORS Peter Latham (Gatsby Unit for Computational Neuroscience, UCL, UK) Joseph Raimondo (University of Cape Town, South Africa) Tim Vogels (University of Oxford, UK) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org ) and the International Brain Research Organisation (IBRO) (http://ibro.info ) Organizational Affiliates University of Cape Town, University College London, University of Oxford, TReND in Africa , CNCB , Gatsby Foundation , IBRO African Center for Advanced Training in Neurosciences at UCT -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Thu Jul 4 07:01:31 2019 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Thu, 4 Jul 2019 11:01:31 +0000 Subject: Connectionists: Visit Oslo, Norway in August by attending IEEE ICDL-EpiRob-2019 Message-ID: [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to those who might be interested.] Dear colleagues, Welcome to Oslo in August to attend the following IEEE Computational Society sponsored conference: CALL FOR PARTICIPATION 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2019) 19-22 August 2019, Oslo, Norway Web page: https://icdl-epirob2019.org We think we have put together an exiting program with keynotes, oral and poster paper presentations and workshops as seen in the Preliminary Program: https://icdl-epirob2019.org/program/ ==== Keynote Speakers ==== Prof. Aude Billard, ?cole Polytechnique F?d?rale de Lausanne, Switzerland Prof. Hod Lipson, Columbia University, USA Prof. Michael J. Frank, Brown University, USA Prof. Stefanie H?hl, University of Vienna, Austria See https://icdl-epirob2019.org/keynotes Registration: https://icdl-epirob2019.org/registration/ We also encourage you to forward this invitation to interested colleagues: Feel free to share our call for participation available at https://icdlepirob2019.files.wordpress.com/2019/06/icdl-epirob-2019-call-for-participation-4.pdf ==== Overview ==== ICDL-EpiRob is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies to share knowledge and research on how intelligent biological and artificial systems develop sensing, reasoning and actions. This includes development of cognitive and social abilities through dynamic interactions with their physical and social environments. This is with a twofold objective: to gain a better understanding of human and animal intelligence, and to enable artificial systems with more adaptive and flexible behaviors. This will be the ninth time the conference is organized, and we invite submissions for the conference in 2019 to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== Topics of interest include (but are 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 * 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 in computational intelligence and robotics ==== Organizing committee ==== General chairs: Jim Torresen (University of Oslo, Norway ) and Kerstin Dautenhahn (University of Waterloo, Canada/University of Hertfordshire, UK) Program chairs: Kai Olav Ellefsen (University of Oslo) and Katharina J. Rohlfing (Paderborn University, Germany) Finance / Website Chairs: Kyrre Glette and Charles Martin (University of Oslo) Publicity chairs: Bruno Castro da Silva (UFRGS, Brazil), Kazi Shah Nawaz Ripon (NTNU, Norway) and Ryo Kurazume (Kyushu University, Japan) Bridge chair: Tetsuya Ogata (Waseda University, Japan) and Emre Ugur (Bogazici University, Turkey) Local chairs: Bruno Laeng and Tor Endestad (University of Oslo) We would very much like to welcome you and hope to see you in Oslo in August. Best regards from the organising committee, Bruno Castro da Silva, Kazi Shah Nawaz Ripon and Ryo Kurazume (Publicity chairs) Kai Olav Ellefsen and Katharina J. Rohlfing (Program chairs) Jim Torresen and Kerstin Dautenhahn (General chairs) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Fri Jul 5 16:12:45 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 5 Jul 2019 20:12:45 +0000 Subject: Connectionists: SBP-BRiMS 2019 -- just a few days away ... Tutorials, Keynote Speakers, others ... In-Reply-To: References: , , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2019 2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 9-12, 2019, Lehman Auditorium, George Washington University, Washington DC, US http://sbp-brims.org/ #sbpbrims Keynote Speakers: John Solerno, PhD Principal, Special Projects Engineer, Exelis Inc Former Principal Computer Engineer, US Air Force Eric Rasmussen, MD, MDM, FACP CEO for Infinitum Humanitarian Systems (IHS), Research Prof., Environmental Security & Global Medicine, San Diego State University Instructor in disaster medicine in Germany and China Tutorials: http://sbp-brims.org/2019/tutorial/ There will be eight three-hour tutorials. Can register to attend only tutorials, without attending the main conference. All tutorials will be held on June 9, 2019. Cost of tutorials: * With Conference Registration * $15 each or $20 for 2 or $25 for 3 * Without Conference Registration * $50 each or $70 for 2 or $75 for 3 1. Deep Reinforcement Learning * Alina Vereshchaka * Wen Dong 2. Applying the Sequential Monte Carlo Method of Particle Filtering with Dynamic Models: Theory, Implementation and Best Practices * Nathaniel Osgood 3. Social Network and Social Media Analytics in ORA * Jeff Reminga 4. An Introduction to Mesa * Jacqueline Kazil 5. From Texts to Networks to Maps * L. Richard Carley 6. Researching Human Behaviour using Smartphones and Wearables: A Hands-On Introduction * Mohammad Hashemian * Nathaniel Osgood 7. Understanding Disinformation Campaigns * David Beskow * Kathleen M. Carley 8. Intro to ABM through Modeling Opinion Dynamics * Dale Frakes Other Special Activities: Summary on recent National Research Council (NRC) Decadal Survey Federal Funding Agencies Panel SBP-BRIM Challenge Problems on Opioid Crisis, and on Disinformation SBP-BRIM Doctoral Consortium Demos (Entries are still being accepted) SBP-BRiMS 2019 July 9-12 | Washington, D.C. www.sbp-brims.org Connect with #sbpbrims on social media: Follow us on Twitter: http://twitter.com/sbpbrims Like us on Facebook: http://facebook.com/sbpbrims Follow us on LinkedIn: https://www.linkedin.com/company/sbpbrims/ Get ready for the conference by downloading the official conference app: https://bit.ly/2X19VvO -------------- next part -------------- An HTML attachment was scrubbed... URL: From Nicolas.Rougier at inria.fr Fri Jul 5 08:04:27 2019 From: Nicolas.Rougier at inria.fr (Nicolas Rougier) Date: Fri, 5 Jul 2019 14:04:27 +0200 Subject: Connectionists: PhD Position / Computational Neuroscience / Bordeaux, France Message-ID: ---------------------------------------------------------------------- Position: Phd in Computational Neuroscience Keywords: Basal Ganglia, Frontal Cortex, Decision Making, Planning Duration: 3 years, starting 01/09/2019 Location: Bordeaux, France Net salary: 1680 euros / month Contact: Fr?deric Alexandre & Nicolas Rougier ---------------------------------------------------------------------- Mnemosyne (https://team.inria.fr/mnemosyne/) is an Inria research team associated with Labri, Bordeaux's computer research laboratory, hosted at the Neurocampus in Bordeaux (https://www.bordeaux-neurocampus.fr/). We work closely with labs in Neurosciences and Medicine in order to understand executive functions such as decision, reasoning and planning, using computational models of the main structure involved (frontal cortex, basal ganglia and hippocampus). We are currently looking for a motivated doctoral student to join us on the theme of decision making modeling, considering in particular the integration of indices of a different nature. This work is part of a collaborative project with the city and the university of La Rochelle and the funding for the thesis is secured (salary of 1680 euros net per month). The candidate may come from different Masters (computer science, cognitive science, neuroscience) and must have experience in computational neuroscience and machine learning with an interest in a bio-inspired approach. In addition to the CV, a letter of motivation will be proposed before an interview. Application to be sent to Frederic.Alexandre at inria.fr and Nicolas.Rougier at inria.fr From fabio.bellavia at unifi.it Fri Jul 5 09:28:56 2019 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Fri, 5 Jul 2019 15:28:56 +0200 Subject: Connectionists: IET Computer Vision - special issue on Local Image Descriptors - deadline Aug 1st 2019 Message-ID: <81bae9b6-3f64-7d78-a6ff-7b96190e57d8@unifi.it> ????????? Apologies for multiple posting ?? Please distribute this call to interested parties ******************************************************** ??????????? Call for Papers -- special issue ? of the international journal IET Computer Vision on ??? ---------------------------------------------- ????? Local Image Descriptors in Computer Vision ??? ---------------------------------------------- Local image descriptors are involved in a multitude of relevant computer vision tasks dealing with point correspondences among several images, from registration through detection to classification. This has ensured that local image descriptors remained an evergreen topic through the years, up to the modern solutions and challenges arising from deep learning advances, big data and hardware improvements. This special issue will provide the computer vision community with the opportunity to systematically collect and share the latest developments and trends on this active research field. It will also offer scientists the chance to propose original ideas and uncommon approaches, out of the mainstream ones, and open to unexplored research directions. Topics include, but are not limited to: - recent advances in local image detector and descriptor design - handcrafted vs deep and general data-driven local descriptors - time and storage efficient descriptor solutions - local image descriptors for large-scale scenarios - enhanced matching with statistical and spatial constraints - uncommon and innovative applications of local descriptors - deep local descriptors interpretation and visualization - descriptor evaluation, new benchmark protocols and datasets **************************************** ?? Submission Deadline: 1 August 2019 **************************************** Submit your paper to manuscript submission and peer review site via the following link: ??????????? >>>>>> www.ietdl.org/IET-CVI <<<<<< ----------------- ?Editor-in-Chief ----------------- Majid Mirmehdi, University of Bristol, UK ---------------- ?Guest Editors ---------------- Carlo Colombo, University of Florence, Italy Fabio Bellavia, University of Florence, Italy ---------------------------------------- Pdf flyer of the call for special issue ---------------------------------------- https://digital-library.theiet.org/files/IET_CVI_Local_Image_Descriptors.pdf From martaruizcostajussa at gmail.com Fri Jul 5 16:15:46 2019 From: martaruizcostajussa at gmail.com (Marta Ruiz) Date: Fri, 5 Jul 2019 21:15:46 +0100 Subject: Connectionists: CALL for Workshops and Special Sessions for IWSDS 2020 Message-ID: CALL for Workshops and Special Sessions for IWSDS 2020 Place: Madrid, Spain Dates: May 18-20, 2020 Website: https://www.iwsds.tech INTERNATIONAL WORKSHOP ON SPOKEN DIALOG SYSTEM TECHNOLOGY (IWSDS) 2020 invites proposals for Workshops and Special Sessions in any topic related to the main conference theme: *Conversational Dialogue Systems for the Next Decade.* Authors are requested to submit PDF files (maximum three pages) of their proposal to iwsds2020 at gmail.com The proposal must indicate: 1. Whether the proposal is for a workshop or for a special session: - Workshops are half day events collocated either before or after the IWSDS 2020 main program. Registration to workshops is not included with IWSDS registration. Participants only interested in attending the workshops do not need to register for IWSDS. - Special sessions are 90-minute sessions that are part of the IWSDS main program. Registration to special sessions is included with IWSDS registration. 2. Workshop / Special Session title 3. Name, affiliation, e-mail and phone number of the organizers 4. A description of the workshop / Special Session title including: - objectives - topics of interest - justification - expected number of submissions - tentative program 5. Tentative program committee members (only for workshop proposals) 6. Special audio-visual, internet, computer or equipment requirements 7. Whether the workshop / special session have been run before: - where and when - number of participants 8. Any additional information that might be relevant for the proposal evaluation *Proposal submission deadline: September 13, 2019* *Proposal acceptance notification: September 17, 2019* Important notice: 1. Based on the volume of submissions and other logistic constraints accepted workshops can be converted into special sessions or vice versa 2. IWSDS 2020 organization cannot provide any kind of financial support to workshop and special session organizers. IWSDS 2020 organization will only cover expenses related to venue, audio-visual equipment and coffee breaks for workshops and special sessions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mingbo.cai at gmail.com Fri Jul 5 18:43:39 2019 From: mingbo.cai at gmail.com (Mingbo Cai) Date: Fri, 5 Jul 2019 18:43:39 -0400 Subject: Connectionists: Postdoc and RA positions at International Research Center of Neurointelligence, U Tokyo Message-ID: Hello, A new lab lead by Dr. Mingbo Cai will start in the International Research Center of Neurointelligence (IRCN), University of Tokyo (https://ircn.jp/en/) in December 2019. A postdoctoral researcher position will be available starting in 2020 or later. Working language is English (no requirement of Japanese language skill). You will work in a highly interdisciplinary research center at the boundary between human and machine intelligence. There will be plenty of opportunity for collaboration within the center and globally. Salary is competitive. Starting time is negotiable. The position is for one year initially and renewable for up to three years based on performance. For more information about the position and the lab, please visit https://www.mingbocai.net There are also research assistant positions available in the lab. The initial research directions of the lab will include (1) the computational mechanisms of human learning and decision making, especially the mechanism of learning latent causal structure and rules of unknown complex environment, and (2) development and application of novel algorithms for analyzing human imaging data (fMRI and others) based on Bayesian principles and deep learning, to understand neural representation of environment structure and/or develop novel biomarkers of psychiatric conditions. In the long run, the lab will gradually expand its research scope to computational psychiatry and brain-inspired AI. You will be able to shape the research program of the lab by bringing your unique insights. To apply for the postdoc position, please contact Mingbo Cai at mcai at princeton.edu with a title "[Job Application]" + your name. Please include a CV, brief statement of research interest, and contact information for recommendation letters in your email. Unofficial inquiry with only a CV is OK as well. It is possible to meet personally at RLDM, CCN, and other conferences. If you are attending any of these conferences and are willing to meet, please indicate so. Preferred candidate: - Ph.D. in neuroscience, cognitive science, psychology, machine learning, computer science, physics, biomedical/electrical engineering, mathematics, statistics, or other related quantitative fields. - Interest in at least one of the areas of (1) human learning and decision making, (2) advanced algorithm for neural imaging data, (3) brain-inspired AI, or other research interest related to these themes. - Good programming skills - Good English communication and writing skills - Comfortable working with equations - Likes being constructive - Self-motivated A plus if you have: - Knowledge and/or experience in any of: active learning, causal inference, Bayesian data analysis, probabilistic programming, reinforcement learning, developmental psychology - Experience contributing to open-source software - Experience with one of deep learning frameworks (e.g., tensorflow, pytorch) If you are interested in an RA position, please send your CV, transcript, and (optionally) a brief description of interest to mcai at princeton.edu, with a title "[Research Assistant]? + your name. Mingbo Cai, Ph.D. Princeton Neuroscience Institute Princeton University https://www.mingbocai.net/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From weijima at nyu.edu Sat Jul 6 17:22:16 2019 From: weijima at nyu.edu (Weiji Ma) Date: Sat, 6 Jul 2019 17:22:16 -0400 Subject: Connectionists: Postdoc at NYU in human planning and reinforcement learning Message-ID: Postdoc in the lab of Wei Ji Ma at NYU: human planning in tasks with large decision trees My lab, in the Center for Neural Science and the Department of Psychology at New York University (http://www.cns.nyu.edu/malab), is looking for a postdoc to study human planning in tasks with large decision trees. The appointment is for two years with the possibility of extension; funding is guaranteed but grantwriting is encouraged. Salary will be NIH scale or higher. Who we are: We work primarily in computational cognitive science and a bit in computational neuroscience. We have previously worked extensively on perceptual decision-making, suboptimality, working memory limitations, and neural population coding, but recent work has focused on approximate inference, resource rationality, planning, and social decision-making. For more details, see http://www.cns.nyu.edu/malab/projects.html. Questions on human planning that we are interested in include how the mind searches a decision tree, how depth of planning depends on the complexity of the environment, and how people arbitrate between model-free and model-based strategies. We are particularly interested in planning in cooperative social contexts. Job description: As a postdoc in the lab, you will be involved in conceptual development, theoretical development, experimental design, data collection, data analysis, data interpretation, manuscript writing, and dissemination of results. You will co-mentor and collaborate with Ph.D. students. You will be part of the lab community and the broader NYU/NYC psychology/neuroscience community, with connections to data science and economics. Qualifications: We are looking for someone who (1) is open-minded, resilient, and motivated to work on relatively narrow problems with potentially broad implications; (2) has experience in theoretical or computational approaches, in particular in reinforcement learning, artificial intelligence/machine learning, or approximate inference; (3) has experience in theoretically driven human behavioral experiments; (4) is interested in the connections between computational cognitive science and artificial intelligence/machine learning (not necessarily deep neural networks). Lab culture: We care a lot about mentorship quality, a positive lab culture, diversity, and work-life balance. For more details, see http://www.cns.nyu.edu/malab/lablife.html. We are looking for someone who is kind, helpful, and cares about making the lab environment and the broader community better for everyone, and who is interested in mentoring scientists more junior than themselves. Moreover, many lab members have been involved in science policy, mentorship through personal narratives, advocating for diversity and inclusion, science advocacy, science outreach, and mentoring high school students. For more details, see http://www.cns.nyu.edu/malab/community.html. To apply, please email a detailed statement of interest and your CV to me at weijima at nyu.edu, with subject line ?Postdoc in planning?. The position will be open until filled. NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels. -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.ciaramella at uniparthenope.it Sat Jul 6 16:09:59 2019 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Sat, 06 Jul 2019 22:09:59 +0200 Subject: Connectionists: CfP - IDCS2019 (Naples) Message-ID: <20190706220959.Horde.HMeKIwhwlPb9vd3CDAvPmg7@webmail.uniparthenope.it> Apologize for multiple posting. IDCS2019: The 12th International Conference on Internet and Distributed Computing Systems University of Naples Parthenope - Villa Doria d'Angri Naples, Italy, October 10-12, 2019 Conference website http://idcs2019.uniparthenope.it Submission link https://easychair.org/conferences/?conf=idcs2019 Submission deadline July 10, 2019 (firm deadline) Topics: distributed computing cloud computing internet of things big data The 12th International Conference on Internet and Distributed Computing Systems is the perfect venue for an academic and the single track format participants to include academia, industry, and Ph.D. students to interact and socialize. Invited keynote speakers are opening the activities of each day. TOPICS OF INTEREST: Distributed Computing, Cloud Computing, Mobile Computing, Edge Computing, Fog Computing, Internet Applications, Cyber-Physical Systems, Internet of Things, Big Data, and Transportation and Logistics. Modern systems such as distributed systems, cloud computing, mobile computing, edge computing, fog computing, and cyber-physical systems are tending to complexity, elasticity, dependability, security. Especially when dealing with dynamic events or actions in their environments and/or Internet applications, we not only need to keep those systems running normally but also need them to self-adapt to many changes. On the other hand, the development of the Internet is very high rapid, and the Internet has already entered the 5G era. The Internet as society infrastructure and the widespread use of mobile edge, wireless wearable devices or IoT sensors have laid the foundation for the emergence of innovative network applications, transportation, and logistics. Under the influence of these most advanced technologies, human production and life are gradually changing. The academic and industrial worlds are constantly developing and innovating in areas such as machine learning, artificial intelligence, and media stream processing. These technologies not only enrich and improve the quality of life of modern people but also in the process of integration in many fields. The huge amount of data processing and the integration of the digital world with the physical environment make humans to also set a constructive development in biological, agricultural, and policy. This conference desires to look for inspiration in diverse areas (e.g. infrastructure & system design, software development, big data, control theory, artificial intelligence, IoT, self-adaptation, emerging models, paradigms, applications and technologies related to Internet-based distributed systems) to develop new ways to design and manage such complex and adaptive computation resources. A special session of the conference is dedicated to Ph.D. students. Submission Guidelines All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: Distributed Computing, Cloud Computing, Mobile Computing, Edge Computing, Fog Computing, Internet Applications, Cyber-Physical Systems, Internet of Things, Big Data, and Transportation and Logistics. Important dates: * Submission Due: July 10, 2019 (firm deadline) * Acceptance Notification: July 31, 2019 * Camera-ready Copy Due: August 19, 2019 * Registration Due: August 5/September 6, 2019, 23:59 (ETC) * Conference: October 10-12, 2019 All papers should be in English and submitted electronically in PDF. The format of your submission must follow the Word 2003 template or Word 2007 template or latex template. Papers should be converted to PDF before submission (here). Full papers Up to 10 pages (+2 pages with extra fee) regular manuscripts prepared in the standard Springer LNCS proceedings paper template. Submitted papers should present original results of theoretical or practical research applied to engineering problems. Papers submitted for presentation at the IDCS2019 Conference will be peer?reviewed. Selected papers will be invited for possible publication in International Journals. Best paper and best student paper will be chosen in our conferences, and the first author will receive the certificate and pretty gift at the IDCS2019. Short papers Up to 6 pages (+2 pages with extra fee) manuscripts prepared in the standard Springer LNCS proceedings paper template. Submitted papers should present original results of theoretical or practical research applied to engineering problems. Short papers submitted for presentation at the IDCS2019 Conference will be peer?reviewed. Posters Up to 6 pages (+2 pages with extra fee) manuscripts prepared in the standard Springer LNCS proceedings paper template. Submitted papers should present original results of theoretical or practical research applied to engineering problems; new research lines, on going working in progress contributions and mixed poster/demo applications are really welcome. Formatting instructions Each submitted paper must follow the Springer LNCS proceedings paper template (available here). The copyright form to be submitted along with the CR paper is (available here). The maximum length of regular conference papers, including all figures, appendix, references, etc., is 12 pages. Camera-Ready Submission Authors of the accepted papers must submit a final manuscript for conference proceedings before 20 August, 2019 and attend the conference to present the paper at IDCS 2019 in Napoli. Authors of accepted papers MUST register before 31 August, 2019 to have their papers included in the Springer LNCS Proceedings. Please refer to the Easy-Chair submission system for review comments, and revise your paper as required accordingly. The format of camera-ready submission should be compatible with LNCS publication standards. The maximum length of regular conference papers is 12 pages. The maximum length of short conference papers is 8 pages. The maximum length of poster paper is 8 pages. The final submission will be rejected for publication if the author fails to revise it. The Final submission must be done through Easy-Chair and the uploaded file should be a zip file containing: * Final paper in PDF format * Source files (Latex or Word) * Scanned signed copyright form The format of camera-ready submission should be strictly compatible with Springer LNCS proceedings paper standards. Accepted and presented papers will be copyrighted to Springer LNCS and published in conference proceedings. Papers will be published LNCS, only if all three of the following requirements are satisfied: (1) All correct publication materials of a paper are submitted (2) At least one regular registration fee is paid to cover one paper (3) The work is presented at the conference Publications The conference proceedings will be published as Springer Lecture Notes in Computer Science (LNCS). All contributions will also be electronically available through Springer Link Database and will be indexed through ISI Conference Proceedings Citation Index ? Science (CPCI-S), EI, Scopus, ACM Digital Library, DBLP, and Google Scholar. Authors of selected conference papers will be invited to submit an extended paper to Special Issues that will be organized in reputed journals (SCI-indexed). Special Issue A SI on Simulation Modelling Practice and Theory (SIMPAT) will be announced during the conference. Venue The conference will be held in Naples (Italy) hosted by the University of Naples Parthenope in the amazing Villa Doria d'Angri. Visit the web site or watch the conference trailer. --------------------------------------------- - Angelo Ciaramella, Ph.D - Associate Professor in Computer Science - DiST, Dipartimento di Scienze e Tecnologie - Universit? degli Studi di Napoli "Parthenope" - Room 431, Isola C4, Centro Direzionale - I-80143 Napoli, ITALY - Tel.: 0815476674 From iswc.conf at gmail.com Mon Jul 8 10:03:36 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 8 Jul 2019 16:03:36 +0200 Subject: Connectionists: [CfP] ISWC 2019 - **One day left** to participate in the ISWC Reproducibility Initiative + more ISWC info 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 ISWC 2019 by submitting to the following tracks & activities or just attend them! (All deadlines are 23:59:59 Hawaii time.) In this announcement: * Highlights 1. Call for participation in the ISWC Reproducibility Initiative Submissions due July 9, 2019 (**tomorrow**) 2. Early Registration * Highlights ******************************************* * The ISWC Reproducibility Initiative is running for the first time and will evaluate submissions from the accepted papers of the ISWC **Research Track**. 1. Call for participation in the ISWC Reproducibility Initiative ******************************************* Many papers submitted to ISWC provide a very strong evaluation. Other researchers willing to build on top of these results often have a hard time to continue the work because the results in the paper are difficult to reproduce. Hence, as an author of a research track paper, we would like to invite you to submit your contribution to the Reproducibility Initiative. The ISWC Reproducibility Initiative has the following goals: - To enable easy sharing of code and experimentation set-ups (take a paper and reuse it). - To make more code and data available. - To highlight the impact and increase the credibility of the Semantic Web research. - To facilitate the dissemination of research results. - We would like to build a culture where sharing results, code, and scripts is the norm rather than an exception. The challenge is to do this efficiently, which means building technical expertise on how to do better research via creating repeatable and shareable methods and results. Considering reproducibility as a goal, the assessment of papers will consider a spectrum varying from: - Basic availability of source code and data - Fully reproducible results given that the data, source code, and documentation are made available. The Reproducibility Initiative is open to the accepted papers of the ISWC Research Track that have some significant experimental results that are prone to be reproducible. For the reproducibility assessment, a member of the Programme Committee will interact with the authors to check the availability of the data, source code, documentation, configuration requirements and reproduce the most important results of the paper. Further info: http://repro.semanticweb.org/ == Important Dates == Submissions due July 9, 2019 (**tomorrow**) == Program Chairs == Contact: iswc2019-reproducibility at inria.fr Alejandra Gonzalez-Beltran, Science and Technology Facilities Council, United Kingdom Michael Cochez, Fraunhofer FIT, Germany 2. ISWC Early Registration ******************************************* Early registration is ongoing and continues until August 2. Further info: https://iswc2019.semanticweb.org/registration/ Looking forward to your submissions & 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 vito.trianni at istc.cnr.it Mon Jul 8 09:15:31 2019 From: vito.trianni at istc.cnr.it (Vito Trianni) Date: Mon, 8 Jul 2019 15:15:31 +0200 Subject: Connectionists: [jobs] Collective decision making for robot swarms, ISTC-CNR, Rome, Italy Message-ID: A research position is now open at the Institute of Cognitive Sciences and Technologies of the Italian National Research Council, in Rome. The position is for one year, and is renewable for two more years. DEADLINE for formal applications: Thursday, 8 August, 2019 https://www.istc.cnr.it/en/content/assegno-di-ricerca-2602019-studio-di-sistemi-multi-agente-e-robotici-relativi-problemi-di The research program aims to the study of collective decision making in dynamical contexts, where the possible alternatives display time-varying features. The study has a theoretical component based on dynamical systems theory, and an experimental component based on multi-agent and multi-robot systems. Dynamical systems are useful to determine the time evolution of decision-making under a certain parameterization, with the goal of identifying optimal conditions to maximize efficiency and decision accuracy. Multi-agent models allow to validate the predictions made by analytical models, and to consider heterogeneous interaction topologies that can emerge, for instance, from complex and dynamic distribution of agents in space. The research also includes the possibility to test the identified collective decision strategies with multi-robot systems, exploiting a swarm of kilobot robots. The ideal candidate should have excellent programming skills (C++, Python), experience with multi-agent and multi-robot systems, and knowledge of the swarm robotics literature. The interested candidate may place an informal inquiry by contacting me (see contact details below), or read the instructions for the application provided in the notice of selection: https://www.istc.cnr.it/sites/default/files/vacancies/bandi/notice_of_selection_n._istc-adr-260-2019-rm.doc ======================================================================== Vito Trianni, Ph.D. vito.trianni@(no_spam)istc.cnr.it ISTC-CNR http://www.istc.cnr.it/people/vito-trianni Via San Martino della Battaglia 44 Tel: +39 06 44595277 00185 Roma Fax: +39 06 44595243 Italy ======================================================================== From trungdung.ngo at gmail.com Mon Jul 8 10:00:35 2019 From: trungdung.ngo at gmail.com (Ngo Trung Dung) Date: Mon, 8 Jul 2019 11:00:35 -0300 Subject: Connectionists: [journals] CFP: Special issue on Robotic Co-worker: Psychological and Cognitive Safety in Human-Robot Interactive Social Environments Message-ID: Dear Colleagues, A gentle reminder about the special issue on *Robotic Co-workers: Psychological and Cognitive Safety in Human-robot Interactive Social Environments* *IEEE Transactions on Cognitive and Development Systems* **Aim and Scope** In the vision of a cyber-society, humans and robots will closely collaborate to perform given tasks. Robots will automate mundane tasks and let humans focus on higher-order jobs requiring more cognitive skills. In this trend, professional and personal service robots are enabling assistive technologies in human-robot shared workspaces. However, the first and the most challenging issue with respect to deploying developmental and cognitive robots in human populated environments is how to guarantee human physical and cognitive safety in human-robot shared workspaces. Physical safety is about how to maintain a minimum physical distance between robots and humans, which is obviously necessary to deploy autonomous robots in human populated environments, while cognitive safety implies that robots should not cause stress and discomfort to humans when working with or around them. Human risks and their inconveniences when working in an interactive social environment essentially come from unavoidable situations due to robot malfunctioning operations caused by either misunderstanding and misinterpreting information extracted from sensing and perception or failures of path planning and motion control. Furthermore, humans may feel uncomfortable as well as fearful and stressful towards collaborative robots as such robots don?t behave in the natural way of humans with respect to their social situations, contexts, and cultures. It is important to find out a methodological approach for incorporating social signals, cues, and norms into developmental perception, cognitive reasoning and motion planning of the robot control architecture so that the robot is capable of securing human psychological and cognitive safety when interacting and collaborating with humans to perform tasks in human-robot shared workspaces. **Themes** The Special Issue aims to address challenges and methodologies of how to deal with psychological and cognitive safety in order to accelerate deployment and adoption of developmental and cognitive robots into human-robot shared workspaces. The ultimate goals of this special issue are to (1) to address the state-of-the-art research (2) and to generate an avenue for researchers to disseminate their recent research findings in the perspective of psychological and cognitive safety in human-robot shared workplaces. This special issue targets on all aspects of guaranteeing psychological and cognitive safety in human-robot interactive social environments with, but not limited to, the following topics: - *Current state-of-the-art*: future perspective of developmental and cognitive robots with concerns of ethics and rules for human psychological and cognitive safety in human-robot shared workspaces. - *Perception for psychological and cognitive safety*: capacity and roles of human face and body detection and tracking, human gestures and posture recognition, social cues and signal detection and identification, human-object interaction and human group interaction detection and tracking in satisfying psychological and cognitive safety. - *Cognitive reasoning, motion planning and control*: methodological development of human aware robot navigation, collaborative task performances in dynamic social environments with concerns of psychological and cognitive safety. - *Machine learning for developmental and cognitive robots*: using learning by demonstration, reinforcement learning, deep learning, and hierarchical learning to enhance psychological and cognitive safety in human-robot shared workplaces. - *Ergonomic studies of developmental and cognitive robots*: developmental and cognitive factors and benchmarks, evaluation methods, objective and subjective measurement metrics, experiments and validation methods for psychological and cognitive safety. - *Applications domains*: concerns of psychological and cognitive safety when working with developmental and cognitive robots in public places, light industry, digital manufacturing, and transformed manufacturing. **Submission Guideline** Manuscripts should be prepared according to the ?Information for Authors? of the journal found at https://cis.ieee.org/publications/t-cognitive-and-developmental-systems/tcds-information-for-authors and submissions should be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieee and please select the category ?SI: Psychological and Cognitive Safety?. **Important Dates** 31 December 2019 ? Deadline for manuscript submission 15 Apr 2020 ? Notification of authors 15 May 2020 ? Deadline for revised manuscripts 15 July 2020 ? Final version For further information, please contact one of the following Guest Editors. **Guest Editors** *Dr. Trung Dung Ngo,* University of Prince Edward Island, Canada, tngo at upei.ca *Dr. **Rachid Alami* , LAAS-CNRS, University of Toulouse, France Rachid.Alami at laas.fr *Dr. **Takayuki Kanda* , Kyoto University, Japan kanda at i.kyoto-u.ac.jp *Dr. **Goldie Nejat* University of Toronto, Canada nejat at mie.utoronto.ca *Dr. **Yongsheng Ou* , SIAT, Chinese Academy of Science, China ys.ou at siat.ac.cn Sincerely, Trung Ngo -------------- next part -------------- An HTML attachment was scrubbed... URL: From tommasi.t at gmail.com Mon Jul 8 10:02:32 2019 From: tommasi.t at gmail.com (Tatiana Tommasi) Date: Mon, 8 Jul 2019 16:02:32 +0200 Subject: Connectionists: 2nd CFP - ICCV Workshop on Transferring and Adapting Source Knowledge in Computer Vision Message-ID: 6th workshop on Transferring and Adapting Source Knowledge in Computer Vision and 3rd VisDA Challenge In conjunction with International Conference on Computer Vision (ICCV) 2019 2 Novembre 2019, Seoul, Korea https://sites.google.com/view/task-cv2019/home ****************************** CALL FOR PAPERS This is the 6th annual workshop that brings together computer vision researchers interested in domain adaptation and knowledge transfer techniques. A key ingredient of the recent successes in computer vision has been the availability of visual data with annotations, both for training and testing, and well-established protocols for evaluating the results. However, this traditional supervised learning framework is limited when it comes to deployment on new tasks and/or operating in new domains. In order to scale to such situations, we must find mechanisms to reuse the available annotations or the models learned from them. ****************************** TOPICS TASK-CV aims to bring together research in transfer learning (TL), domain generalization (DG) and domain adaptation (DG) for computer vision and invites the submission of research contributions on the following topics: - TL/DA/DG learning methods for challenging paradigms like unsupervised, self-supervised, incremental, and online learning; - TL/DA/DG focusing on specific visual features, models or learning algorithms; - TL/DA/DG applied for procedural learning (e.g. state-action pairs, reinforcement learning); - TL/DA/DG in the era of convolutional neural networks (CNNs), adaptation effects of fine-tuning, regularization techniques, transfer of architectures and weights, etc; - TL/DA/DG focusing on specific computer vision tasks (e.g., image classification, object detection, semantic segmentation, recognition, retrieval, tracking, etc.) and applications (biomedical, robotics, multimedia, autonomous driving, etc.); - Comparative studies of different TL/DA/DG methods; - Working frameworks with appropriate datasets and evaluation protocols to assess TL/DA/DG methods; - Transferring part representations between categories; - Transferring tasks to new domains; - Solving domain shift due to sensor differences (e.g., low-vs-high resolution, power spectrum sensitivity) and compression schemes; - Extensions of few- and zero-shot learning approaches across domains. This is not a closed list; thus, we welcome other interesting and relevant research for TASK-CV. ****************************** IMPORTANT DATES *Paper Submission: July 10th, 2019 * Notification of Acceptance: July 22nd, 2019 Camera-Ready: August 10th, 2019 As tradition we will have a best paper award supported by our sponsors ****************************** ORGANIZERS: Tatiana Tommasi, Politecnico di Torino, Italy David V?zquez, Element AI, Canada Kate Saenko, Boston University, USA Ben Usman, Boston University, USA Xingchao Peng, Boston University, USA Judy Hoffman, Facebook AI Research, USA Neela Kaushik, Boston University, USA Antonio M. L?pez, Universitat Aut?noma de Barcelona (UAB) and Computer Vision Center (CVC), Spain Wen Li, ETH Zurich, Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From eliricci at fbk.eu Mon Jul 8 09:52:40 2019 From: eliricci at fbk.eu (Elisa Ricci) Date: Mon, 8 Jul 2019 15:52:40 +0200 Subject: Connectionists: ICCV Workshop on Human Behavior Understanding (HBU): Generating, Forging and Detecting Fake Human Behavioral Data Message-ID: 10th Workshop on Human Behavior Understanding (HBU) In conjunction with International Conference on Computer Vision (ICCV) 2019 27 October 2019, Seoul, Korea Focus Theme: *Generating, Forging and Detecting Fake Human Behavioral Data* https://project.inria.fr/whbu/ ****************************** CALL FOR PAPERS As in many other computer vision tasks, deep learning has brought revolutionary advances in human behaviour understanding from visual data. Deep models are now extremely effective not only in detecting and analyzing human faces, bodies and collective activities but also in generating realistic human-like behavioral data. From full-body deepfakes to AI-based translation dubbing, deep networks can now synthesize images and videos of humans such as they are virtually indistinguishable from real ones. The workshop will focus on recent advances and novel methodologies for generating human behaviour data, with special emphasis on approaches for forging images and videos depicting real-looking human faces and/or full bodies and on algorithms for detecting fake human-like visual data. The HBU workshops, organized since 2010 as satellite to ICPR?10, AMI?11, IROS?12, ACM Multimedia?13, ECCV?14 and UBICOMP?15, ACM Multimedia?16, FG?18, ECCV?18 Conferences, aim to inspect developments in areas where smarter computers that can sense human behavior. These events have a unique aspect of fostering cross-pollination of different disciplines, bringing together researchers of mobile and ubiquitous computing, computer vision, multimedia, robotics, HCI, artificial intelligence, pattern recognition, interaction design, ambient intelligence, and psychology. The diversity of human behavior, the richness of multi-modal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform. Each edition of the HBU workshop had a different focus theme, dealing with a newly emerging topic or question in the automatic analysis of human behavior. The focus theme of this year is of high interest for computer vision researchers: *Generating, Forging and Detecting Fake Human Behavioral Data*. The automatic generation of visual contents is currently a very hot topic in the community. With this edition of the HBU workshops, we attempt to foster research on how to generate visual data (still images and videos) describing human behavior both from the applicative and methodological points of view. ****************************** TOPICS ICCV?2019 HBU workshop, in addition to covering the main themes of human behavior understanding, deals with generating human behavior data, with special *emphasis on methodologies and approaches for forging images and videos depicting real-looking human faces *and/or full bodies and on algorithms for detecting fake human-like visual data. Contributions based on deep neural architectures are welcome, as well as methods based on other techniques (e.g. parametric models). These contributions could address the following topics: *Human Behavior Analysis Systems* - Action and activity recognition - Affect analysis - Face analysis - Gaze, attention and saliency - Gestures and haptic interaction - Social signal processing - Voice and speech analysis - Theoretical frameworks of behavior analysis - Data collection, annotation, and benchmarking - User studies and human factors *Generating Visual data of Human Behavior* - Methods for face synthesis and modification of facial attributes (e.g. age, expression). - Approaches for generating human bodies and altering their properties (e.g. 3D pose, clothes). - Techniques for forging human-like behavioral data - Methodologies for counteracting adversarial attacks. - Techniques for synthesizing visual data depicting collective human behaviour. - Novel deep generative models for sequence-like data generation. - Approaches to synthesize multi-modal human behavioral data. - Applications (e.g. surveillance, entertainment, autonomous driving, fashion, robotics). Papers must be submitted online through the CMT submission system at: https://easychair.org/conferences/?conf=hbu2019 and will be double-blind peer reviewed by at least two reviewers. Submissions should conform to the ICCV 2019 proceedings style. We expect two kind of submissions: - Full papers of new contributions (8 pages NOT including references) - Short papers describing incremental/preliminary work (2 pages NOT including references) More info at: https://project.inria.fr/whbu/ ****************************** IMPORTANT DATES Regular Paper Submission: *July 12th, 2019 (EXTENDED)* Extended Abstract Submission: *July 15th, 2019* Notification of Acceptance: *July 31st, 2019* Camera-Ready: *August 15th, 2019* ****************************** INVITED SPEAKERS *Cristian Sminchisescu*, Google & Lund University, DE *Hao Li*, University of Southern California, USA ****************************** ORGANIZERS: Xavier Alameda-Pineda, Inria, FR. Xiaoming Liu, Michigan State University, USA. Elisa Ricci, FBK & University of Trento, IT. Albert Ali Salah, Bo?azi?i University, TR & Utrecht University, NL. Nicu Sebe, University of Trento, IT. Sergey Tulyakov, Snap Research, USA. -- -- Le informazioni contenute nella presente comunicazione sono di natura? privata e come tali sono da considerarsi riservate ed indirizzate? esclusivamente ai destinatari indicati e per le finalit? strettamente? legate al relativo contenuto. Se avete ricevuto questo messaggio per? errore, vi preghiamo di eliminarlo e di inviare una comunicazione? all?indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -------------- next part -------------- An HTML attachment was scrubbed... URL: From MOT14 at pitt.edu Mon Jul 8 12:27:18 2019 From: MOT14 at pitt.edu (Thompson, Morgan Kelsey) Date: Mon, 8 Jul 2019 16:27:18 +0000 Subject: Connectionists: CFA Early Career Workshop on Tools and Technology in Neuroscience Message-ID: CFA: The Early Career Workshop on Tools and Technology in Neuroscience is now accepting paper and poster abstracts. Deadline is August 15th. See the Center's website for details: https://www.pitt.edu/~pittcntr/Events/All/Conferences/others/other_conf_2019-20/01-24-20_neurotech/neurotech2020.html Please share this call with relevant early career folks (including graduate students, post-docs, and non-tenured faculty). Best, Morgan Thompson PhD Candidate History and Philosophy of Science Program Assistant Center for Philosophy of Science -------------- next part -------------- An HTML attachment was scrubbed... URL: From dimitrije.markovic at tu-dresden.de Tue Jul 9 06:43:52 2019 From: dimitrije.markovic at tu-dresden.de (Dimitrije Markovic) Date: Tue, 9 Jul 2019 10:43:52 +0000 Subject: Connectionists: Postdoc position in Computational Cognitive Neuroscience - TU Dresden Message-ID: <1562669032443.33594@tu-dresden.de> Dear colleagues, We are looking for candidates for a four-year post-doctoral position in Computational Cognitive Neuroscience. The position is part of the newly established Transregio (TRR) 265 Funding Programme: "Losing and Regaining Control over Drug Intake: From Trajectories to Mechanisms to Interventions". The candidates should show strong interest in combining research in cognitive and computational neuroscience with research in clinical psychology and psychiatry. The position is an ideal opportunity to work in an interdisciplinary group of researchers, and contribute to projects investigating computational and neuronal underpinning of human behaviour. For further details and application instructions, please see https://www.uniklinikum-dresden.de/de/jobs-und-karriere/stellenangebote/wissenschaft/postdoctoral-fellow-in-cognitive-neuroscience-f-m-x Note : the application deadline has been extended to 31 July 2019. Best wishes, Dimitrije Markovic ============================= 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 bhammer at techfak.uni-bielefeld.de Tue Jul 9 10:17:17 2019 From: bhammer at techfak.uni-bielefeld.de (Barbara Hammer) Date: Tue, 9 Jul 2019 16:17:17 +0200 Subject: Connectionists: Several PhD position in Bioinformatics Message-ID: <7d185b34-ce39-1da0-f81d-367edb10e5c7@techfak.uni-bielefeld.de> **4 PhD positions in Bioinformatics at Bielefeld University** The graduate school "Digital Infrastructure in the Life Sciences" (DILS) of the newly established "Bielefeld Institute for Bioinformatics Infrastructure" (BIBI) at Bielefeld University, Germany, offers four PhD positions (3 years, 100% TV-L E13) starting October 2019. The institute's research program focuses on scientific and service aspects in the area of bioinformatics infrastructure in close cooperation with the "German Network for Bioinformatic Infrastructure" (de.NBI) as well as the "Information Centre for Life Sciences" (ZB MED). The qualification program of the DILS graduate school includes a joint research program, dedicated courses, workshops, retreats, etc. Candidates must demonstrate broad background in the interdisciplinary field of bioinformatics in general and deep knowledge in the area they apply for (see project descriptions for detailed requirements). Good communication skills and knowledge of the English language is required, whereas German is not necessary. The application deadline is 31 July, 2019. Application instructions, project descriptions, contact information, and other details can be found on the institute's website: http://bibi.uni-bielefeld.de Contact:dils-application at cebitec.uni-bielefeld.de -- Prof. Dr. Barbara Hammer CITEC centre of excellence Bielefeld University D-33594 Bielefeld Phone: +49 521 / 106 12115 Fax: +49 521 / 106 12181 From n.strisciuglio at rug.nl Tue Jul 9 12:52:32 2019 From: n.strisciuglio at rug.nl (Nicola Strisciuglio) Date: Tue, 9 Jul 2019 18:52:32 +0200 Subject: Connectionists: [CFP] APPIS 2020 in Las Palmas de Gran Canaria, Spain, 7-12 January 2020 Message-ID: <58c3a149-634c-3d70-c00c-bb0c3c1a89eb@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 bogdanlapi at gmail.com Tue Jul 9 17:53:25 2019 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Wed, 10 Jul 2019 00:53:25 +0300 Subject: Connectionists: ACM Multimedia 2019: Workshop deadline extensions (15 July) Message-ID: We would like to announce that the following ACM Multimedia 2019 workshops have extended their submission deadlines to 15 July: MMSports 2nd International Workshop on Multimedia Content Analysis in Sports @ ACM Multimedia 2019 http://multimedia-computing.de/mmsports2019 MAHCI 2019 2nd Workshop on Multimedia for Accessible Human Computer Interfaces https://xueliang.github.io/mahci2019 FAT/MM 2019 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia https://project.inria.fr/fatmm MADiMa 2019 5th International Workshop on Multimedia Assisted Dietary Management https://madima.org/ AI4TV 2019 1st International Workshop on AI for Smart TV Content Production, Access and Delivery https://memad.eu/ai4tv2019 MULEA 2019 1st International Workshop on Multimodal Understanding and Learning for Embodied Applications https://sites.google.com/view/mulea2019 SALMM 2019 1st International Workshop on Search as Learning with Multimedia Information https://salmm-workshop.org Additionally, The 1st workshop on Structuring and Understanding of Multimedia heritAge Contents has extended its deadline until 14 July https://sumac2019.ec-lyon.fr/ ACM Multimedia is the premier international conference in the area of multimedia within the field of computer science. Multimedia research focuses on integration of the multiple perspectives offered by different digital modalities including images, text, video, music, sensor data, spoken audio. Since 1993, ACM Multimedia has been bringing together researchers and practitioners from academia and industry to present innovative research results and discuss recent advancements. ACM Multimedia 2019 will be held 21 - 25 October 2019, Nice, France More information is available on the website: https://www.acmmm.org On behalf of the Publicity Chairs, Prof. Bogdan IONESCU ETTI - University Politehnica of Bucharest http://campus.pub.ro/lab7/bionescu/ From bogdanlapi at gmail.com Tue Jul 9 17:53:03 2019 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Wed, 10 Jul 2019 00:53:03 +0300 Subject: Connectionists: final Call-for-Participation: MediaEval 2019 Predicting Video Memorability Task Message-ID: [Apologies for cross-postings] ******************************************************* final CALL FOR PARTICIPATION Predicting Video Memorability Task 2019 MediaEval Benchmarking Initiative for Multimedia Evaluation http://www.multimediaeval.org/mediaeval2019/memorability/ ******************************************************* Register here: https://docs.google.com/forms/d/e/1FAIpQLSfxS4LPBhLQUTXSPT5vogtiSy7BuAKrPs6u6pZXcSV1Xs7XEQ/viewform ******************************************************* The Predicting Video Memorability Task focuses on the problem of predicting how memorable a video will be. It requires participants to automatically predict memorability scores for videos, which reflect the probability of a video being remembered. Participants will be provided with an extensive dataset of videos with memorability annotations, and pre-extracted state-of-the-art visual features. The ground truth has been collected through recognition tests, and, for this reason, reflects objective measures of memory performance. In contrast to previous work on image memorability prediction, where memorability was measured a few minutes after memorization, the dataset comes with ?short-term? and ?long-term? memorability annotations. Because memories continue to evolve in long-term memory, in particular during the first day following memorization, we expect long-term memorability annotations to be more representative of long-term memory performance, which is used preferably in numerous applications. Participants will be required to train computational models capable of inferring video memorability from visual content. Optionally, descriptive titles attached to the videos may be used. Models will be evaluated through standard evaluation metrics used in ranking tasks. *********************** Target communities *********************** Researchers will find this task interesting if they work in the areas of human perception and the impact of multimedia on perception such as image and video interestingness, memorability, attractiveness, aesthetics prediction, event detection, multimedia affect and perceptual analysis, multimedia content analysis, machine learning (though not limited to). *********************** Data *********************** Data is composed of 10,000 short (soundless) videos extracted from raw footage used by professionals when creating content. Each video consists of a coherent unit in terms of meaning and is associated with two scores of memorability that refer to its probability to be remembered after two different durations of memory retention. Memorability has been measured using recognition tests, i.e., through an objective measure, a few minutes after the memorization of the videos, and then 24 to 72 hours later. The videos are shared under Creative Commons licenses that allow their redistribution. They come with a set of pre-extracted features, such as: Dense SIFT, HoG descriptors, LBP, GIST, Color Histogram, MFCC, Fc7 layer from AlexNet, C3D features, etc. ****************************** Workshop ****************************** Participants to the task are invited to present their results during the annual MediaEval Workshop, which will be held by the end of October 2019, in Nice, France, co-located with ACM Multimedia 2019. Working notes proceedings are to appear with CEUR Workshop Proceedings (ceur-ws.org). ****************************** Important dates (tentative) ****************************** (open) Participant registration: March-July (released) Development data release: 1 May (released) Test data release: 3 June Runs due: 20 September Working notes papers due: 11 October MediaEval Workshop, Nice, France: 27-29 October (co-located with ACM Multimedia 2019) *********************** Task coordination *********************** Mihai Gabriel Constantin, University Politehnica of Bucharest, Romania Bogdan Ionescu, University Politehnica of Bucharest, Romania Claire-H?l?ne Demarty, Technicolor, France Quang-Khanh-Ngoc Duong, Technicolor, France Xavier Alameda-Pineda, INRIA, France Mats Sj?berg, CSC, Finland On behalf of the Organizers, Prof. Bogdan IONESCU ETTI - University Politehnica of Bucharest http://campus.pub.ro/lab7/bionescu/ From vassilisvas at gmail.com Wed Jul 10 04:58:06 2019 From: vassilisvas at gmail.com (Vassilis Vassiliades) Date: Wed, 10 Jul 2019 11:58:06 +0300 Subject: Connectionists: [jobs] Research associate positions in Cyprus In-Reply-To: References: Message-ID: Dear colleagues, We have several research associate positions on a variety of topics (artificial intelligence, machine learning, computer graphics, virtual/augmented reality, internet of things, networks, smart cities etc.) at the Research Centre on Interactive Media, Smart Systems and Emerging Technologies (RISE) in Cyprus under various Multidisciplinary Research Groups. The announcement can be found here: http://www.rise.org.cy/en-gb/vacancies/job-listings/research-associate-positions/ Feel free to contact me for more information. Kind regards, Vassilis Vassiliades Leader of the Learning Agents and Robots (LEAR) group Research Centre on Interactive Media, Smart Systems and Emerging Technologies -------------- next part -------------- An HTML attachment was scrubbed... URL: From stdm at zhaw.ch Wed Jul 10 06:00:36 2019 From: stdm at zhaw.ch (Stadelmann Thilo (stdm)) Date: Wed, 10 Jul 2019 10:00:36 +0000 Subject: Connectionists: Hiring: Research Manager as Head of CLAIRE Office Zurich (50-100 %) Message-ID: CLAIRE is a bottom up initiative by the European AI community that seeks to strengthen European excellence in AI research and innovation. To achieve this, CLAIRE proposes the establishment of a pan-European Confederation of Laboratories for AI Research and a new, central facility, the CLAIRE Hub. Several regional offices are currently created that will support the establishment of the CLAIRE organization and serve as local contact points. They provide information and connect to the local academic and industrial communities (universities, industry, start-ups), as well as to governmental bodies and regional and national public administration and other relevant parties (associations etc.). To establish a CLAIRE regional office in Zurich/Switzerland, we seek a flexible, independent pioneer and networker with a passion for, and ideally research experience in, AI. More information: https://www.zhaw.ch/de/jobs/offene-stellen/stelleninserat/job/detail/ESHU6519.1/ Best regards, Thilo Stadelmann ------------------------------------------------------------------------------------------------------------- ZHAW Zurich University of Applied Sciences Prof. Thilo Stadelmann, Dr. rer. nat. Scientific Director, ZHAW digital Professor of Engineering-Information (AI/ML), InIT Institute of Applied Information Technology, ZHAW School of Engineering Fellow, ECLT European Centre for Living Technology, Venice, Italy Phone: +41 58 934 72 08, fax: +41 58 935 72 08 Email: thilo.stadelmann at zhaw.ch Research group: http://stdm.github.io Insitute: www.zhaw.ch/init Office: TD 03.16 (Obere Kirchgasse 2 / InIT) or SG O3.04 (Gertrudstrasse 15, ZHAW digital), CH-8400 Winterthur Postal address: ZHAW School of Engineering, Thilo Stadelmann, Postfach, CH-8401 Winterthur, Switzerland Site plan campus Technikumstrasse / St. Georgenplatz: https://www.zhaw.ch/de/ueber-uns/informationen-fuer-unsere-gaeste-und-besucher/lageplaene/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Thu Jul 11 09:13:55 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Thu, 11 Jul 2019 16:13:55 +0300 Subject: Connectionists: 23rd Pan-Hellenic Conference on Informatics (PCI 2019): Third Call for Papers In-Reply-To: References: <52BFE0CA-1718-419F-915B-083C851BD2EA@cs.ucy.ac.cy> Message-ID: <4CE75EA3-1A07-4281-A6DD-22447C2DA1DF@cs.ucy.ac.cy> *** THIRD CALL FOR PAPERS *** 23rd Pan-Hellenic Conference on Informatics (PCI 2019) University of Nicosia, Nicosia, Cyprus, November 28-30, 2019 http://unic.ac.cy/pci2019 *** Submission Deadline: September 10, 2019 *** *** Proceedings to be published by ACM ICPS (pending approval) *** 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 (pending approval) 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. Important Dates ? Paper submission deadline: September 10, 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 m.schmuker at biomachinelearning.net Thu Jul 11 11:11:31 2019 From: m.schmuker at biomachinelearning.net (Michael Schmuker) Date: Thu, 11 Jul 2019 17:11:31 +0200 Subject: Connectionists: Dual Award PhD (UH/WSU) in Neuromorphic olfaction Message-ID: An exceptional opportunity for a dual award PhD position in Neuromorphic olfaction is open for EU/UK candidates at the University of Hertfordshire, UK, that includes a year abroad at Western Sydney University, Australia. The successful candidate will obtain a PhD degree from both institutions. We offer an exciting 3-year project in Neuromorphic computing under joint supervision of Dr Michael Schmuker (UHERTS), and Dr Andr? van Schaik (WSU). The first and third year of the programme will be spent in the Biocomputation research group at UH, with the second year spent at the International Centre for Neuromorphic Systems, led by Andr? van Schaik (WSU). The successful candidate has the unique opportunity to join two vibrant and research-driven teams at opposite ends of the world and carry home two PhD awards. The position comes with a bursary of ?15,009 per year. Airfare to and from WSU in Australia is covered, too. The PhD is due to start in October 2019. EU/UK candidates with an exceptional interest in at least one of Neuromorphic computing, Event-based data processing, and chemical sensing should get in touch informally with Dr. Michael Schmuker by email as soon as possible. Shortlisting will begin on 21st July 2019. How to apply Download the application form , fill it out, save it to your disk, and return it to: Lynette Spelman and Emma Thorogood Research Student Administrators University of Hertfordshire College Lane Hatfield, Herts AL10 9AB tel: +44 (0)1707 286083 ? Dr Michael Schmuker AFHEA Reader in Data Science Biocomputation Group University of Hertfordshire https://biomachinelearning.net -------------- next part -------------- An HTML attachment was scrubbed... URL: From cskemp at gmail.com Fri Jul 12 01:01:41 2019 From: cskemp at gmail.com (Charles Kemp) Date: Fri, 12 Jul 2019 15:01:41 +1000 Subject: Connectionists: Complex Human Data Summer School, Melbourne Australia, Dec 15-20 2019 In-Reply-To: References: Message-ID: Researchers from psychology and other disciplines are increasingly relying on computational analyses of large data sets to draw conclusions about human behaviour. This kind of research requires skills that are not often taught as part of the psychology curriculum. Last year we launched a summer school to help people collect and analyse complex human data, and we are running a second iteration of the school this December. The school is designed for advanced undergraduates, PhD students, and industry participants. The goal is to give attendees the key skills they need to collect complex data, model the data, and evaluate their models. The program interleaves lectures and laptop-based sessions which provide hands-on experience of the computational tools and approaches to be covered. Dates: December 15 - 20, 2019 Location: The University of Melbourne, Australia Topics will include: - Programming in R (the main language for the summer school) - Best practices for running online studies - Reproducibility and Open Science - GitHub - Exploratory data analysis along with other topics such as - Bayesian data analysis - Probabilistic models of cognition - Experience sampling More information about last year's content is at: https://djnavarro.github.io/chdss2018/ This year's content will be slightly different, but the overlap with last year's summer school will be substantial. Except in unusual cases, participants from last year should not apply again this year. Organisers: - Simon Dennis - Charles Kemp - Danielle Navarro - Amy Perfors Other faculty members from the Complex Human Data Hub at Melbourne will also be involved. Required background: Participants are expected to have an interest in psychology and some experience with computer programming. The school is designed both for psychologists with an interest in computational approaches and computer scientists (or people from another technical discipline) with an interest in psychology. Although we expect that many participants will have earned or will be working towards a postgraduate degree, a subset of the available slots will be reserved for advanced undergraduates. Cost: Registration is free for undergraduates and graduate students and $2500 for industry participants. Participants not from Melbourne can apply for a scholarship of up to $500 to help defray transport and accommodation costs. Last year a number of participants arranged funding from their home institutions and we encourage you to explore this option. International students are welcome to apply, but scholarships for international participants are capped at $AUD 500. How to apply: Please submit - A short CV - A statement of up to 500 words describing your background, your interests, and what you hope to get out of the summer school - (optional) If applying for a scholarship, a short statement of financial need explaining why a scholarship would be especially helpful Applications should be lodged at https://forms.gle/8K1ojhzF9YCarYZE7 before October 15th, 2019. Website: https://chdsummerschool.com For more information: Please contact Charles Kemp (c.kemp at unimelb.edu.au) -------------- next part -------------- An HTML attachment was scrubbed... URL: From education at humanbrainproject.eu Fri Jul 12 02:03:25 2019 From: education at humanbrainproject.eu (education at humanbrainproject.eu) Date: Fri, 12 Jul 2019 08:03:25 +0200 Subject: Connectionists: Event announcement: HBP Curriculum Workshop - Research ethics & societal impact, 26-27 September 2019, Graz, Austria Message-ID: <6CBEE6AF-F939-41A0-AC6A-64FD80270047@humanbrainproject.eu> Dear all, On 26-27 September 2019, the HBP Education Programme will organise a workshop on research ethics and societal impact at the Graz University of Technology under the title ?Neuroscience, robotics, AI and medical informatics: New insights with diversity & ethics?. Participation in the event is open to the entire scientific community, but especially targets early-career researchers (advanced Master?s students, PhD students and early postdocs). Please find some general information about the workshop and the HBP Curriculum below and at bit.ly/HBP-Ethics2019. ????????????????????????????????????????? The HBP?Curriculum on Interdisciplinary Brain Science? combines web-based distance learning courses and complementary face-to-face workshops. It provides basic lessons in the Human Brain Project (HBP) core fields neuroscience, medicine and ICT for early-career researchers outside their area of specialisation, as well as courses on the subjects of ethics and intellectual property rights, translation and exploitation of research. 3rd HBP Curriculum Workshop Series - NEUROSCIENCE, ROBOTICS, AI AND MEDICAL INFORMATICS: NEW INSIGHTS WITH DIVERSITY & ETHICS 26-27 September 2019, Graz, Austria bit.ly/HBP-Ethics2019 Application deadline: 19 August 2019 In this 2-day workshop, scientists from different fields like neuroscience, robotics, AI and medical informatics will provide you with insights on how they consider variables such as sex, gender, age etc. Additionally, experts in ethics and diversity will introduce you to Responsible Research and Innovation (RRI) concepts and their practical application. This workshop addresses researchers and students who want to? explore and make best use of gender and diversity in their field of expertise get to know and apply RRI and ethical standards and useful tools for ?Diversity in research? share experiences and gain innovative insights from cross-science perspectives Application information & Abstract submission Application is open to the entire student community and early-career researchers, regardless of whether they are affiliated with the Human Brain Project or not. It is aimed to offer equal opportunities for all early-career researchers regardless of gender, age, origin, etc. Participation fee: 250 ? The fee does not include travel and accommodation. Fees will be collected after participants have been selected. Registration fee waivers are available for a maximum of five participants. Participants can apply for fee waivers prior to the application deadline by sending an email to curriculum.edu at humanbrainproject.eu . Please also check with your supervisor how your institution can support you with regard to expenses for the attendance of the workshops. Further information about organisations offering travel support can also be found on our website . Scientific Chairs Karin Grasenick | convelop cooperative knowledge design gmbh Harald Kleinberger-Pierer | convelop cooperative knowledge design gmbh Organised by Sylvia A?laber | Medical University Innsbruck Laura Saxer | Medical University Innsbruck Contact curriculum.edu at humanbrainproject.eu Speakers confirmed Simisola Akintoye (De Montford University, UK) Michele Farisco (Uppsala University, Sweden) Benedikt Feldotto (Technical University of Munich, Germany) Jan Fousek (Aix-Marseille University, France) Karin Grasenick (convelop cooperative knowledge design gmbh, Austria) Harald Kleinberger-Pierer (convelop cooperative knowledge design gmbh, Austria) Robert Legenstein (University of Technology Graz, Austria) Martina Mara (Johannes Kepler University Linz, Austria) Alessandra Nostro (Netherlands Institute for Neuroscience, Netherlands) Alois Saria (Medical University Innsbruck, Austria) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Hong.Yu at umassmed.edu Sat Jul 13 18:44:30 2019 From: Hong.Yu at umassmed.edu (Yu, Hong) Date: Sat, 13 Jul 2019 22:44:30 +0000 Subject: Connectionists: Multiple Postdoc and Faculty Positions at UMass, MA, USA In-Reply-To: References: Message-ID: The BioNLP research lab at UMass http://bio-nlp.org/ is recruiting multiple postdoc positions and faculty positions (Research Assistant Professor). We are interested candidates whose research are in data science, with a focus on natural language processing or machine learning for large scale electronic health record data. We are particularly interested in knowledge graph extraction and inference, and prediction based on time series data. We offer competitive salary and benefits and will assist visa applications. Interested please contact hong.yu at umassmed.edu BioNLP - News Professor Hong Yu is the Principal Investigator of the University of Massachusetts Biomedical Informatics Natural Language Processing (UMass BioNLP) Group. bio-nlp.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From timothee.masquelier at alum.mit.edu Mon Jul 15 03:42:09 2019 From: timothee.masquelier at alum.mit.edu (=?UTF-8?Q?Timoth=C3=A9e_Masquelier?=) Date: Mon, 15 Jul 2019 09:42:09 +0200 Subject: Connectionists: Code release: SpykeTorch Message-ID: We are proud to release our SpykeTorch open source code! https://github.com/miladmozafari/SpykeTorch SpykeTorch is an efficient PyTorch-based simulator of convolutional spiking neural networks, in which the neurons emit at most one spike per stimulus, and use rank-order-coding. It currently supports the STDP and Reward-modulated STDP learning rules. It can reproduce various recent papers by us and others. A Jupyter tutorial is provided, and an extensive documentation can be found here: http://cnrl.ut.ac.ir/SpykeTorch/doc/ See also the SpykeTorch paper: https://www.frontiersin.org/articles/10.3389/fnins.2019.00625/ Milad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini and Timoth?e Masquelier -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.c.kampffmeyer at uit.no Mon Jul 15 03:37:48 2019 From: michael.c.kampffmeyer at uit.no (Michael C. Kampffmeyer) Date: Mon, 15 Jul 2019 07:37:48 +0000 Subject: Connectionists: Open fully funded PhD position in the Machine Learning Group at UiT The Arctic University of Norway Message-ID: Please see below for details about an open fully-funded 4 year PhD position in the Machine Learning research group at UiT The Arctic University of Norway (http://machine-learning.uit.no). The deadline is 21st July 2019. We are seeking a PhD Candidate to take an active role in the group's research on developing novel machine learning methodology for medical image analysis. We are particularly seeking a candidate with a background in deep learning and neural networks, such as e.g. convolutional neural networks but experience with graph neural networks and recurrent neural networks to incorporate the contextual information will be beneficial. Key challenges involve the development of innovative methods for unsupervised and semi-supervised learning in order to exploit the structure of unlabeled data as well as contextual data to improve the accuracy of the image analysis, and by this enable classification, localization, and segmentation of objects in medical images. For more information about the application procedure, salary, etc, please visit https://www.jobbnorge.no/en/available-jobs/job/172048/phd-candidate-in-machine-learning The successful candidate will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections. Best regards, Michael Kampffmeyer -------------- next part -------------- An HTML attachment was scrubbed... URL: From augenstein at di.ku.dk Mon Jul 15 07:00:25 2019 From: augenstein at di.ku.dk (Isabelle Augenstein) Date: Mon, 15 Jul 2019 11:00:25 +0000 Subject: Connectionists: Natural Language Processing & Machine Learning faculty positions at Uni Copenhagen Message-ID: The Department of Computer Science at the University of Copenhagen is currently seeking to recruit a Tenure-Track Assistant Professor (https://employment.ku.dk/faculty/?show=149913) and Associate Professor (https://employment.ku.dk/faculty/?show=149914) in Natural Language Processing and Machine Learning. Preferred candidates will have a PhD in Computer Science, Machine Learning, Computational Linguistics, or equivalent. A strong academic background in Natural Language Processing and Machine Learning, documented by publications in relevant top tier venues, is necessary. Application deadline: 1 September 2019 Earliest starting date: 1 February 2020 You can read more about the positions and apply via the links above. ??? Isabelle Augenstein, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark www: http://isabelleaugenstein.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Mon Jul 15 08:39:07 2019 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Mon, 15 Jul 2019 14:39:07 +0200 Subject: Connectionists: IET Computer Vision - special issue on Local Image Descriptors - deadline Aug 1st 2019 Message-ID: <3dd219f2-2ac4-e405-1fae-c5b75442aba9@unifi.it> ????????? Apologies for multiple posting ?? Please distribute this call to interested parties ******************************************************** ??????????? Call for Papers -- special issue ? of the international journal IET Computer Vision on ??? ---------------------------------------------- ????? Local Image Descriptors in Computer Vision ??? ---------------------------------------------- Local image descriptors are involved in a multitude of relevant computer vision tasks dealing with point correspondences among several images, from registration through detection to classification. This has ensured that local image descriptors remained an evergreen topic through the years, up to the modern solutions and challenges arising from deep learning advances, big data and hardware improvements. This special issue will provide the computer vision community with the opportunity to systematically collect and share the latest developments and trends on this active research field. It will also offer scientists the chance to propose original ideas and uncommon approaches, out of the mainstream ones, and open to unexplored research directions. Topics include, but are not limited to: - recent advances in local image detector and descriptor design - handcrafted vs deep and general data-driven local descriptors - time and storage efficient descriptor solutions - local image descriptors for large-scale scenarios - enhanced matching with statistical and spatial constraints - uncommon and innovative applications of local descriptors - deep local descriptors interpretation and visualization - descriptor evaluation, new benchmark protocols and datasets **************************************** ?? Submission Deadline: 1 August 2019 **************************************** Submit your paper to manuscript submission and peer review site via the following link: ??????????? >>>>>> www.ietdl.org/IET-CVI <<<<<< ----------------- ?Editor-in-Chief ----------------- Majid Mirmehdi, University of Bristol, UK ---------------- ?Guest Editors ---------------- Carlo Colombo, University of Florence, Italy Fabio Bellavia, University of Florence, Italy ---------------------------------------- Pdf flyer of the call for special issue ---------------------------------------- https://digital-library.theiet.org/files/IET_CVI_Local_Image_Descriptors.pdf From ted.carnevale at yale.edu Mon Jul 15 20:48:57 2019 From: ted.carnevale at yale.edu (Carnevale, Nicholas) Date: Tue, 16 Jul 2019 00:48:57 +0000 Subject: Connectionists: NEURON course at SFN 2019 meeting Message-ID: <013fdb02-6e3a-b9e4-427b-d8269f5fca5a@yale.edu> Using NEURON to Model Cells and Networks Friday, Oct. 18, 2019 from 9 AM to 5 PM at a downtown Chicago location. Satellite event to the 2019 Society for Neuroscience Meeting This course provides a practical introduction to building and using models of neurons and networks with NEURON. Covered topics include basic concepts, workflow for building and using models, speeding up simulations with parallel hardware from multicore personal computers to massively parallel supercomputers, using Python with NEURON, and modeling reaction-diffusion with the RxD class. The registration deadline for this course is Friday Oct. 4, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/chi2019/chi2019.html for more information and a link to the registration form. --Ted From hongzhi.kuai at gmail.com Tue Jul 16 02:04:10 2019 From: hongzhi.kuai at gmail.com (Hongzhi Kuai) Date: Tue, 16 Jul 2019 15:04:10 +0900 Subject: Connectionists: Call for Papers: Brain Informatics 2019 (Deadline Extended) In-Reply-To: <5d2d687f.1c69fb81.f71c8.fe0d@mx.google.com> References: <33557b02d015ade81d635b8e2075ab15@wi-lab.com> <5d2d6736.1c69fb81.38595.6cce@mx.google.com> <5d2d67be.1c69fb81.fb7c2.f4e5@mx.google.com> <5d2d683a.1c69fb81.343ad.6865@mx.google.com> <5d2d687f.1c69fb81.f71c8.fe0d@mx.google.com> Message-ID: <5d2d68dd.1c69fb81.95467.f711@mx.google.com> [Apologies if you receive this more than once] ** CALL FOR PAPERS ** The 12th International Conference on Brain Informatics (BI'19) December 13-15, 2019, Hainan, China http://wi-consortium.org/conferences/bi2019/ --- Brain Science meets Artificial Intelligence --- =================================================== Workshop/special session/Tutorial proposals Submission deadline: July 20th, 2019 (Extended) Full papers Submission deadline: August 4th, 2019 (Extended) Workshop/special session papers Submission deadline: August 4th, 2019 (Extended) Abstracts Submission deadline: August 30th, 2019 (Extended) ================ Keynote Speakers? ================ Lin Chen (Institute of Biophysics, Chinese Academy of Sciences, China) Hongkui Zeng (Allen Institute for Brain Science, USA) Michael Fox (Harvard Medical School and Massachusetts General Hospital, USA) Hesheng Liu (Harvard Medical School and Massachusetts General Hospital, USA) Jin Luo (Capital Normal University, China) Tianzai Jiang (Institute of Automation, Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) =================================================== The International Conference on Brain Informatics series (BI) has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The BI'19 provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on brain Informatics research, brain-inspired technologies and brain/mental health applications. The BI'19 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing * Paper Submission and Publications * Paper Submission: Full papers should be limited to a maximum of 10 pages including figures and references in Springer LNCS Proceedings format. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. Research Abstract: Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors. Special Issues & Books: Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal (https://braininformatics.springeropen.com/). IMPORTANT DATES:?????????????? ================ July 20th, 2019: Submission deadline for workshop/special session/Tutorial proposals (Extended) July 25th, 2019: Notification of workshop/special session proposal acceptance (Extended) August 4th, 2019: Submission deadline for full papers (Extended) August 4th, 2019: Submission deadline for workshop/special session papers (Extended) September 6th, 2019: Notification of full paper acceptance (Extended) September 6th, 2019: Notification of workshop/special session paper acceptance (Extended) August 30th, 2019: Submission deadline for abstracts (Extended) September 20th, 2019: Notification of abstract acceptance (Extended) December 13th, 2019: Tutorials, workshops and special sessions December 14th - 15th, 2019: Main conference ================= Conference Venue ================= Hainan University Haikou, at Hainan Island, China =========== ORGANIZERS =========== General Chair Qingming Luo (Hainan University, China) Program Chairs Peipeng Liang (Capital Normal University, China) Vinod Goel (York University, Canada) Chunlei Shan (Shanghai U. Traditional Chinese, Medicine, China) Organizing Chairs Xin Lou (Chinese PLA General Hospital, China) Nan Ma (Beijing Union University, China) Feng Xu (Tsinghua University, China) Workshop/Special-Session Chairs Yang Yang (Maebashi Institute of Technology, Japan) Mufti Mahmud (Nottingham Trent University, UK) Publicity Chairs Zhiqi Mao (Chinese PLA General Hospital, China) M Shamim Kaiser (Jahangirnagar University, Bangladesh) Steering Chairs Qionghai Dai (Tsinghua University, China) Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** Yang Yang Email: yang at maebashi-it.org New Visa-Free Policy for Hainan Individuals from 59 countries can visit the Hainan province for 30 days visa-free as long as they book their tour through travel agencies. Countries benefiting from the policy include Russia, the United Kingdom, France, Germany, Norway, Ukraine, Italy, Austria, Finland, the Netherlands, Denmark, Switzerland, Sweden, Spain, Belgium, the Czech Republic, Greece, Hungary, Iceland, Poland, Portugal, Ireland, the United States, Canada, Brazil, Mexico, Argentina, Chile, Australia, New Zealand, South Korea, Japan, Singapore, Malaysia, Thailand, Kazakhstan, the Philippines, Indonesia and the UAE, etc. -------------- next part -------------- An HTML attachment was scrubbed... URL: From smuc at irb.hr Tue Jul 16 03:55:55 2019 From: smuc at irb.hr (=?UTF-8?Q?Tomislav_=c5=a0muc?=) Date: Tue, 16 Jul 2019 09:55:55 +0200 Subject: Connectionists: CFP - PhD Symposium of Discovery Science 2019 Conference (October 28 - 30, 2019, Split, Croatia) - Deadline: Aug 2 In-Reply-To: <44d580e1-5aaa-fae5-eee9-47a550742df5@irb.hr> References: <44d580e1-5aaa-fae5-eee9-47a550742df5@irb.hr> Message-ID: <13f9d655-4d3f-bb4b-7ca3-f3d37997d669@irb.hr> Dear colleagues, ?This message is a reminder for those interested (PhD students and advisors)? in submitting a paper for a PhD Symposium track, accompanying Discovery Science conference - DS2019, in Split, Croatia from 28-30 Oct, 2019. Submissions? (extended abstract, 4 pages,LNCS format) should be uploaded by 2nd Aug, via EasyChair link: https://easychair.org/my/conference?conf=ds_2019 Details on PhD Symposium are available at: https://ds2019.irb.hr/Call-for-PhD-Symposium For any additional information on the Conference please contact us via: ds2019 at irb.hr Thank you in advance and looking forward to meeting you in Split! Sincerely yours, Tomislav Smuc and Petra Kralj Novak PC chairs of Discovery Science 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Jul 16 05:59:03 2019 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Tue, 16 Jul 2019 12:59:03 +0300 Subject: Connectionists: FW: Last call for early bird registration for the 2019 Short course on Autonomous Systems (self-driving cars), 26-27th August 2019, Aristotle University of Thessaloniki, Greece Message-ID: <015001d53bbd$1a0e2510$4e2a6f30$@csd.auth.gr> Last call for early bird registration for the 2019 Short course on Autonomous Systems (self-driving cars), 26-27th August 2019, Aristotle University of Thessaloniki, Greece Dear Autonomous Systems (cars) engineers, scientists and enthusiasts, you are welcomed to register in the short course on Autonomous Systems having focus on autonomous/self-driving cars. It will take place on 26-27/8/2019 at the Aristotle University of Thessaloniki, Thessaloniki, Greece. Early registration cutoff date is the 19th July 2019. The short course consists of 16 1-hour lectures organized in two parts (one per day): Part A lectures provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Motion estimation, Mapping and Localization.) They also provide an overview of the State-of-the-Art on autonomous car vision and real-time road infrastructure monitoring. Part B lectures provide an in-depth view of machine learning related topics (Introduction to neural networks, Multilayer NNs/backpropagation, Deep neural networks, Convolution NNs, Deep learning for target detection). They will also cover Deep NN computation optimization schemes based on parallel architectures, GPU programming, and fast convolution algorithms. Furthermore, deep learning for 2D target (e.g., car, pedestrian) detection, tracking and 3D target localization will be detailed. Finally, additional topics related to autonomous car technologies, mainly focusing on car vision will be presented, involving road scene understanding and 3D road modeling. You can use the following link for course registration: http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/ For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). Dr. R. Fan, Hong Kong University of Science and Technology (HKUST) will overview work on self-driving cars, while also presenting progress in the HKUST autonomous vehicle project. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Thessaloniki is a very pleasant city at the end of August, with vibrant night-life, very close to world class resorts in Chalkidiki peninsula. Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally and its campus is at the city center. Relevant links: Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el H2020 project Multidrone: https://multidrone.eu/ 3) AIIA Lab www.aiia.csd.auth.gr Course description Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Introduction in computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Motion estimation 6. Mapping and localization 7. Introduction to autonomous car vision 8. Real-time road infrastructure monitoring Part B (8 hours) Deep learning topic list 1. Introduction to neural networks. Perceptron, backpropagation 2. Deep neural networks. Convolutional NNs 3. Parallel GPU and multicore CPU architectures. GPU programming 4. Fast convolution algorithms 5. Deep learning for target detection 6. 2D Target tracking and 3D target localization 7. Road scene understanding 8. 3D road surface modelling Sincerely yours Prof. I. Pitas -------------- next part -------------- An HTML attachment was scrubbed... URL: From navlakha at salk.edu Tue Jul 16 14:38:48 2019 From: navlakha at salk.edu (Saket Navlakha) Date: Tue, 16 Jul 2019 11:38:48 -0700 Subject: Connectionists: Post-doc opening at Cold Spring Harbor Laboratory -- Navlakha Lab Message-ID: A post-doctoral position studying biological computation / "algorithms in nature" is available in Saket Navlakha's research group at the Simon's Center for Quantitative Biology at Cold Spring Harbor Laboratory, NY. We are looking for post-docs broadly interested in studying biological information processing from an algorithmic perspective. The goal is to discover new ideas for computation by studying problem-solving strategies used in nature, and to ground these ideas by fostering deep collaborations with experimental biologists. Most recently, we have been interested in neural circuit computation and plant architecture optimization, but new areas are also welcome. Relevant publications include: 1. A neural algorithm for a fundamental computing problem (Science, 2017) 2. A neural data structure for novelty detection (PNAS, 2018) 3. Plant architectures reflect universal network design principles (Cell Systems, 2017). Cold Spring Harbor Laboratory is a world-renowned research and education institution recognized internationally for its excellence in fundamental areas, such as cancer, neuroscience, plant biology, genomics, and quantitative biology. The Laboratory has long been recognized as a place for nurturing young scientists, with postdocs being an integral part of the discovery process. The Laboratory offers a warm, collegial, and collaborative work environment in a beautiful location about one hour from New York City. Required qualifications: PhD in computer science, or related field; strong algorithmic and programming skills; publications in strong computational biology conferences or journals; and experience/interest in learning basic biology and collaborating with experimentalists. To apply: Please submit a CV, a short description of how our research interests overlap, and contact information for two references to: navlakha at salk.edu. We offer a competitive salary and comprehensive benefits program, including medical and dental insurance, and access to an affordable and licensed on-site childcare center. In addition, the CSHL Meetings and Courses program provides an opportunity for interacting with a broad range of researchers and exposure to timely advances in many areas of scientific research. Thank you for considering. From ioannakoroni at csd.auth.gr Thu Jul 18 05:42:51 2019 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Thu, 18 Jul 2019 12:42:51 +0300 Subject: Connectionists: CALL FOR PROPOSALS: International Conference on Autonomous Systems (ICAS) References: <009201d53ca0$488de3b0$d9a9ab10$@csd.auth.gr> Message-ID: <00bf01d53d4d$2b536740$81fa35c0$@csd.auth.gr> Dear Colleagues, please publicize this call widely. We look forward to receive excellent proposals for the first edition of ICAS. Best regards I. Pitas Chair of the IEEE SPS Autonomous Systems Initiative (ASI) ---------- Forwarded message --------- From: IEEE Signal Processing Society > Date: Tue, Jul 16, 2019 at 10:39 AM Subject: CALL FOR PROPOSALS: International Conference on Autonomous Systems (ICAS) View this email in your browser CALL FOR PROPOSALS International Conference on Autonomous Systems (ICAS) Deadline: 17 September 2019 The IEEE Signal Processing Society (SPS) is now accepting proposals for the first edition of the IEEE International Conference on Autonomous Systems (ICAS). The IEEE International Conference on Autonomous Systems (ICAS) should be a premier international forum for the technological advances and research results in the fields of theoretical, experimental, and applied Autonomous Systems (AS). Since autonomous systems are a multidisciplinary field, research and applied frontiers in areas ranging from theory/methodology to applications should be advanced by results first reported at ICAS sessions and events. ICAS can cover the following AS theory/methodology topics: AS Theory/Methodology Topics: * Perception * Sensor information processing * Mission planning and control * Machine learning for perception and control * Robust/secure mobile communications * Embedded systems * Security * Societal issues, e.g., data protection, privacy Application Areas: * Autonomous cars * Autonomous robotic systems * Marine, underwater vessels * Drones and unmanned aircraft It is expected that this novel conference will be a highly recognized event using an innovative event model, notably in terms of speaking formats and attendee interaction and usage of emerging multimedia communication tools. The conference should include interactive presentation sessions, potentially both local and remote attendance offerings, and technology demos, new product exhibits and hands-on workshops. ICAS will ideally occur in middle to late 2020 and the timing should not conflict with other SPS conferences and workshops. Current IEEE SPS Members and non-members are invited to submit a proposal to host and organize the first edition of ICAS. To submit a bid, please submit a pdf document to sps-conf-proposals at ieee.org structured as listed below by 17th September 2019. Submit a Proposal Proposals will be assessed by the SPS Autonomous Systems Initiative ( https://ieeeasi.signalprocessingsociety.org/) to determine the selected organizing team to be proposed to SPS. ICAS Proposal Outline Proposing teams are asked to create a proposal that follows the following outline: 1. Location and Venue - Give an idea on the venue size and facilities. 2. Conference Dates - Ensure they do not conflict with major holidays, or other SPS conferences and workshops. 3. Organizing Committee Members- Build the organizing committee considering the following representation: active SPS members; scientific/technical excellence (foremost for general and technical chairs); diversity including geographical, industry and academia, age, and gender; conference and/or workshop experience; management experience. 4. Professional Conference Organizer (PCO) - Include brief summary about PCO and services they will provide. 5. Technical Program ? consider the overall structure and conference model; innovative initiatives; Student and Young Professional initiatives; and Industry-related initiatives. 6. Hotels. 7. Travel and Transportation. 8. Any other relevant information. SPS Facebook SPS Twitter SPS LinkedIn SPS YouTube Copyright 2019 IEEE Signal Processing Society, All rights reserved. IEEE Signal Processing Society: 445 Hoes Lane, Piscataway, NJ, 08854, USA Email us | You can unsubscribe from this Signal Processing Society list Join the IEEE | Already an IEEE member? Join the IEEE Signal Processing Society | IEEE Privacy Policy IEEE Signal Processing Society Website Join IEEE SPS IEEE Website _____ To unsubscribe from the SPS-STAFF list, click the following link: https://listserv.ieee.org/cgi-bin/wa?SUBED1=SPS-STAFF &A=1 Virus-free. www.avast.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Thu Jul 18 09:36:24 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Thu, 18 Jul 2019 16:36:24 +0300 Subject: Connectionists: 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020): Fourth Call for Papers In-Reply-To: References: Message-ID: <5CD6FA4B-8551-4BC3-89F4-2A8025067860@cs.ucy.ac.cy> *** Fourth Call for Papers *** 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020) Atlantica Miramare 4* Beach Hotel, Limassol, Cyprus January 20-24, 2020 http://cyprusconferences.org/sofsem2020/ *** Submission Deadline: August 26, 2019 *** (Proceedings to be published by Springer) INVITED SPEAKERS (list incomplete) ? Mikolaj Bojanczyk, Poland ? Erol Gelenbe, UK ? Gunnar Klau, Germany ? Elias Koutsoupias, UK SOFSEM (SOFtware SEMinar) is an annual international winter conference devoted to the theory and practice of computer science. The first SOFSEM was organized in 1974. SOFSEM consists of invited talks by prominent researchers, of contributed talks selected from the submitted papers, and of the Student Research Forum. The program is organized in plenary talks and parallel tracks devoted to original research in the selected research areas. SOFSEM has a long-standing tradition of facilitating discussions and collegial interactions. It is well-known for its familiar and inspiring atmosphere and as a meeting place for active and leading computer scientists. SOFSEM is a track-based conference. It features the traditional track on foundations of computer science and a number of other tracks that cover contemporary important areas, such as artificial intelligence, cryptography, security, verification, data science, knowledge engineering, social computing and human factors, software and web engineering, etc. The Track Chairs are soliciting technical papers for presentation at the conference and inclusion in the proceedings published by Springer in the ARCoSS/LNCS series. The topics of the conference are organised in four tracks and the (non exhaustive) list of topics for each track is as follows: Foundations of Computer Science ? Algorithms and data structures ? Automata and formal languages ? Complexity theory ? Computability theory ? Cryptography and security ? Graphs and networks ? Machine learning ? Non-classical models of computing ? Theory of databases, semi-structured data, and finite model theory ? Theory of programming languages Foundations of Software Engineering ? Methods and tools for improved software processes ? Software architecture of complex software-intensive systems ? Requirements Engineering ? Model-based software engineering methods and tools ? Data-driven improvement of methods, models, and tools ? Methods and tools for software engineering applications ? Empirical Software Engineering Foundations of Data Science ? Data Models and Query Languages ? Data Integration and Interoperability ? Query Processing and Optimization ? Distributed, Parallel, and P2P Data Processing and Management ? Data Semantics and Linked Data ? Spatial, Temporal, Multimedia Data ? Web- and Graph-based Data ? Probabilistic and Uncertain Data ? Information Extraction and Retrieval ? Data Privacy, Security, and Trust Foundations of Algorithmic Computational Biology ? Alignment and assembly of sequences ? Biological networks ? Cancer genomics ? Comparative genomics ? Gene expression ? Phylogenetics ? Sequence analysis ? System biology PAPER SUBMISSION Detailed guidelines for submission will appear shortly on the conference web site (https://cyprusconferences.org/sofsem2020/). Papers must be submitted electronically via Easychair in standard Springer format (max 12 pages). The submision link is: https://easychair.org/my/conference?conf=sofsem2020 . Submitted papers will undergo a peer review process. PROCEEDINGS The proceedings will be published by Springer in the ARCoSS/LNCS series. IMPORTANT DATES ? August 26th, 2019: Submission of abstracts ? September 2nd, 2019: Submission of full papers ? October 14th, 2019: Notification of acceptance/rejection ? October 28th, 2019: Camera ready papers & author registration ? November 25th: Early (non author) registration ? January 20th - 24th, 2020: Conference dates ORGANISATION General Chairs ? Yannis Manolopoulos, Open University of Cyprus, Cyprus ? George A. Papadopoulos, University of Cyprus, Cyprus Steering Committee ? Barbara Catania, University of Genova, Italy ? Miroslaw Kutylowski, Wroclaw Uni. of Technology, Poland ? Jan van Leeuwen, Utrecht University, Utrecht, Netherlands ? Tiziana Margaria-Steffen, University of Limerick, Ireland ? Branislav Rovan, Comenius University, Bratislava, Slovakia ? Petr Saloun, Technical University of Ostrava, Czech Republic ? Julius Stuller, Academy of Sciences, Prague, Czech Republic, chair Tracks and Track Chairs ? Foundations of Computer Science: Christos Kapoutsis, Qatar ? Foundations of Data Science: Herodotos Herodotou, Cyprus ? Foundations of Software Engineering, Alexander Chatzigeorgiou, Greece ? Foundations of Algorithmic Computational Biology, Riccardo Dondi, Italy and Florian Sikora, France Student Research Forum Chair ? Theodoros Tzouramanis, Greece Webadmin ? Kyriakos Georgiades, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From maneesh+connectionists at gatsby.ucl.ac.uk Thu Jul 18 17:29:48 2019 From: maneesh+connectionists at gatsby.ucl.ac.uk (Maneesh Sahani) Date: Thu, 18 Jul 2019 22:29:48 +0100 Subject: Connectionists: Postdoctoral fellowships at the Gatsby Unit Message-ID: The Gatsby Computational Neuroscience Unit invites applications for postdoctoral training fellowships in theoretical neuroscience, machine learning and related areas. Fellows will carry out original research under the guidance of a member of faculty, primarily on one of the current themes of research listed below, but with scope for additional independent projects where mutually agreed. The research themes (and associated faculty mentors) for which Training Fellowships are currently available are: Algorithms and mechanisms of inference and planning under uncertainty in neural systems (Maneesh Sahani). Decision-making (Peter Latham). Inferential models of context-dependent auditory processing (Maneesh Sahani). Learning, plasticity and Bayesian inference (Peter Latham). Statistical and machine-learning approaches to analysis and interpretation of population neural data (Maneesh Sahani). Bayesian non-parametric methods (Maneesh Sahani/Peter Orbanz). More information and instructions on how to apply can be found at http://www.gatsby.ucl.ac.uk/vacancies/index.html -- Maneesh Sahani, Ph.D. Professor of Theoretical Neuroscience and Machine Learning, Director, Gatsby Computational Neuroscience Unit UCL, 25 Howland Street, London W1T 4JG From domenico.maisto at icar.cnr.it Fri Jul 19 10:37:41 2019 From: domenico.maisto at icar.cnr.it (Domenico Maisto) Date: Fri, 19 Jul 2019 16:37:41 +0200 Subject: Connectionists: Special Issue "Probabilistic Inference in Goal-Directed Human and Animal Decision-Making" [journal Entropy, IF=2.419] Message-ID: Dear Colleagues, please consider submitting a research article/review to the special issue of Entropy ?Probabilistic Inference in Goal-Directed Human and Decision-Making?. This special issue aims to focus on recent computational, methodological, algorithmic advances regarding inferential processing in decision-making with particular attention on efficiency and biological plausibility. Topics include: - computational and neuronal circuits involved in goal-directed decision making, with a focus on the inferential mechanisms; - novel probabilistic models and methods in decision making including information-theory approaches, statistical and free-energy minimization, hierarchical models, deep networks - decision-making applications in ethological, social, psychological, psychiatric, robotics, and computer science research. Entropy is an online open access interdisciplinary peer-reviewed journal of growing popularity providing an advanced forum for the development and/or application of entropic and information-theoretic studies in a wide variety of applications. Author Benefits: - Open Access: free for readers, with article processing charges (APC) paid by authors or their institutions. - High visibility: indexed by the Science Citation Index Expanded (Web of Science), MathSciNet (AMS), Inspec (IET), Scopus and other databases. - Rapid publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 19.1 days after submission; acceptance to publication is undertaken in 5 days (median values for papers published in this journal in the second half of 2018). More information on the special issue website: https://www.mdpi.com/journal/entropy/special_issues/probabilistic_inference Looking forward to your contributions Dr. Francesco Donnarumma Dr. Domenico Maisto Dr. Ivilin Stoianov Guest Editors -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Fri Jul 19 15:51:11 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Fri, 19 Jul 2019 21:51:11 +0200 Subject: Connectionists: [CfP] ISWC 2019 - **One week** to apply for student travel grants, early registration & Minute Madness 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 ISWC 2019 by submitting to the following tracks & activities or just attend them! (All deadlines are 23:59:59 Hawaii time.) In this announcement: * Highlights 1. Student Travel Grants 2. Early Registration 3. Minute Madness * Highlights ******************************************* * Student Travel Grants: If you are a student interested in attending ISWC 2019, you may be eligible to apply for travel grants to support the costs of travel and lodging. This year, travel grants are funded by the Semantic Web Science Association (SWSA) and the U.S. National Science Foundation (NSF). 1. Student Travel Grants ******************************************* If you are a student interested in attending ISWC 2019, you may be eligible to apply for travel grants to support the costs of travel and lodging. This year, travel grants are funded by the Semantic Web Science Association (SWSA) and the U.S. National Science Foundation (NSF). Find more details and how to apply for a student travel award by following the steps here: https://iswc2019.semanticweb.org/student-travel-grants/ == Important Dates == Applications due: July 26, 2019 Notification: August 31, 2019 2. ISWC Early Registration ******************************************* Early registration is ongoing and continues until August 2. Further info: https://iswc2019.semanticweb.org/registration/ 3. Minute Madness ******************************************* The Minute Madness is a tradition at the International Semantic Web Conference that started back in 2011. It has always been an entertaining session that provides conference participants with a quick and fun overview of the presented works at the conference. This year's ISWC will feature for the first time a stand-alone Minute Madness Call. This means, the session will be opened up to every conference attendee to submit a contribution to the Minute Madness call. Although we aim to accommodate as many talk proposals as possible, the submissions in the form of a 1-minute video (using strictly one slide) will be ranked by a Program Committee and the best 40 contributions will be selected. Accepted Posters and Demos, willing to advertise themselves before the dedicated session, will need to submit a Contribution to the Minute Madness call, but will be assessed separately from the other submissions. The rules for submissions and for the Minute Madness are as follows: 1. You have exactly one slide that will be shown for exactly one minute. The slide must not have any animation. Your video submissions will also be exactly one minute, but it can be a mobile recording of yourself speaking, dancing, singing or any other form of communication that conveys your message. However, any recording beyond the minute will not be assessed. 2. During the session the slides will be advanced automatically. In between the 1-minute talks a transition slide will be shown for five seconds. This transition slide will be generated by us and it will contain the title of the next 1-minute talk. 3. Given the limited time, it is highly advisable to avoid trying to present technical details of your work. Instead, you should provide the audience with a very high-level idea, ideally, presented in a catchy, entertaining manner. Please, remember that the minute madness is about combining science with entertainment, so be prepared to captivate the audience, no boring talks allowed! If you have any questions, don?t hesitate to ask the Chairs at iswc2019-minute-madness at inria.fr. == Important Dates == Submission Deadline: September 30, 2019 (strict deadline!) The Full Call for Contributions for the Minute Madness is available at: https://iswc2019.semanticweb.org/call-for-contributions-minute-madness/ == Minute Madness Chairs == Contact: iswc2019-minute-madness at inria.fr Irene Celino, Cefriel, Milano, Italy Armin Haller, Australian National University, Canberra, Australia Looking forward to your submissions & 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 livia.predoiu at googlemail.com Fri Jul 19 09:25:11 2019 From: livia.predoiu at googlemail.com (Livia Predoiu) Date: Fri, 19 Jul 2019 15:25:11 +0200 Subject: Connectionists: =?utf-8?q?=5BCall_for_participation=5D_Reasoning_?= =?utf-8?q?Web_Summer_School_on_=E2=80=9CExplainable_AI=22?= Message-ID: Late call for applications --------------------------- THE 15th INTERNATIONAL REASONING WEB SUMMER SCHOOL - RW 2019 on ?Explainable Artificial Intelligence" Bolzano, Italy, 20 - 24 Sep 2019 https://rulemlrr19.inf.unibz.it/rw2019 Late application deadline: 28 July 2019 The 15th Reasoning Web Summer School brings together leading AI researchers to share their ideas and knowledge about how to make AI more explainable. The school is a five-day intensive training course that interleaves lectures and hands-on sessions. Participants learn about exciting new methods and technologies, and at the same time get to know their peers and senior researchers in their area. Reasoning Web is co-located with RuleML+RR 2019, GCAI 2019, and DecisionCAMP 2019, which come together for the Bolzano Rules and Artificial Intelligence Summit (BRAIN). ==PROGRAM== This year?s school program includes the following topics and lecturers: * Logic-Based Learning - Alessandra Russo, Mark Law, Krysia Broda (Imperial College London) * Explainable AI Planning - J?rg Hoffmann (Saarland University), Daniele Magazzeni (King?s College London) * Explaining Data with Formal Concept Analysis - Sebastian Rudolph (TU Dresden) * Knowledge Representation and Rule Mining in Entity-Centric Knowledge Bases - Fabian Suchanek (T?l?com ParisTech University), Gerhard Weikum (Max-Planck-Institut f?r Informatik, Saarbr?cken) * Provenance in Databases: Principles and Applications - Pierre Senellart (?cole Normale Sup?rieure Paris) * Efficient Reasoning and Explanation in Description Logic Ontologies - Yevgeny Kazakov (University of Ulm) * Modest Explanations in a Memoryless World - Holger Hermanns (Saarland University), Arnd Hartmanns (University of Twente) * Explanation-Friendly Query Answering Under Uncertainty - Maria Vanina Martinez (Universidad de Buenos Aires), Gerardo I. Simari (Universidad Nacional del Sur, Bahia Blanca) * Constraint Learning - Stefano Teso (KU Leuven) RW 2019 is aimed at a wide audience of young post-graduate researchers, most typically early-stage Ph.D. candidates, but also advanced Master students and more senior Ph.D. candidates and PostDocs who want to deepen their knowledge. Although no specific background knowledge is required for attending the summer school, basics of knowledge representation and reasoning will be helpful for benefiting from the contents of the school. Students are also committed to a full participation for the whole duration of the school. ==APPLICATION== Students and researchers interested in participating should submit a short application by 28 July 2019 via EasyChair using the following link: https://easychair.org/conferences/?conf=rw2019. Applications sent before this deadline might still receive notification before early registration. The application should consist of a single pdf file that includes: * A short statement of motivation (half a page) * A CV (one page) * If financial support is needed: a short statement that explains why support is needed to attend the school, and that gives a quotation for the cost that would need to be covered * Whether a letter of invitation is needed for visa applications ==REGISTRATION FEES== The registration fees for attending the RW Summer School will be 300 EUR (if your RW registration is bundled with the one for BRAIN 2019) and 350 EUR (if you choose to only register for RW), respectively. This includes all lectures and teaching sessions, lunches, coffee breaks, and a social event. ==STUDENT GRANTS== A limited number of grants will be available for selected students who would otherwise not be able to attend the summer school. As such, please ask for financial support in your application only if this is the necessary condition for you to participate in the summer school. ==BRAIN 2019== RW 2019 is part of BRAIN 2019, the Bolzano Rules and Artificial Intelligence Summit. With its special focus theme on "Beneficial AI", BRAIN 2019 brings together the 3rd International Joint Conference on Rules and Reasoning (RuleML+RR 2019), DecisionCAMP 2019, the Reasoning Web Summer School (RW 2019) and The 5th Global Conference on Artificial Intelligence (GCAI 2019). BRAIN 2019 is supported by: - Free University of Bozen-Bolzano -- http://www.unibz.it/ - Bosch -- https://www.bosch.com/ - Center for Perspicuous Computing (CPEC): https://www.perspicuous-computing.science/ If you have any questions, please contact: rw2019 at easychair.org Reasoning Web 2019 Chairs Daria Stepanova & Markus Kr?tzsch -------------- next part -------------- An HTML attachment was scrubbed... URL: From vvsharma at mit.edu Sun Jul 21 12:55:41 2019 From: vvsharma at mit.edu (Vivek Sharma) Date: Sun, 21 Jul 2019 16:55:41 +0000 Subject: Connectionists: =?windows-1252?q?Call_for_papers=3A_First_Large_S?= =?windows-1252?q?cale_Holistic_Video_Understanding_Workshop_=40_ICCV=9219?= In-Reply-To: References: , , , , Message-ID: [Apologies for multiple copies due to cross-posting. Please forward to colleagues who might be interested] First Large Scale Holistic Video Understanding Workshop @ICCV?19 https://holistic-video-understanding.github.io/workshops/iccv2019.html Date: October 27, 2019 PAPER SUBMISSION IS NOW OPEN! PAPER and ABSTRACT SUBMISSION DEADLINE: August 1, 2019 ACCEPTANCE NOTIFICATION: August 15, 2019 Please submit papers via CMT: https://cmt3.research.microsoft.com/HVU2019/ WORKSHOP REGISTRATION: In conjunction with ICCV?19 *Best Paper and Best Poster Awards will be granted. OVERVIEW: In the last years, we have seen tremendous progress in the capabilities of computer systems to classify video clips taken from the Internet or to analyze human actions in videos. There are lots of works in video recognition field focusing on specific video understanding tasks, such as action recognition, scene understanding, etc. There have been great achievements in such tasks, however, there has not been enough attention toward the holistic video understanding task as a problem to be tackled. Current systems are expert in some specific fields of the general video understanding problem. However, for real-world applications, such as, analyzing multiple concepts of a video for video search engines and media monitoring systems or providing an appropriate definition of the surrounding environment of a humanoid robot, a combination of current state-of-the-art methods should be used. Therefore, in this workshop, we intend to introduce holistic video understanding as a new challenge for the video understanding efforts. This challenge focuses on the recognition of scenes, objects, actions, attributes, and events in the real world user-generated videos. To be able to address such tasks, we also introduce our new dataset named Holistic Video Understanding (HVU dataset) that is organized hierarchically in a semantic taxonomy of holistic video understanding. Almost all of the real-world conditioned video datasets are targeting human action or sport recognition. So our new dataset can help the vision community and bring more attention to bring more interesting solutions for holistic video understanding. The workshop is tailored to bringing together ideas around multi-label and multi-task recognition of different semantic concepts in the real world videos. And the research efforts can be tried on our new dataset. HVU Dataset: https://github.com/holistic-video-understanding/Mini-HVU Topics: * Large scale video understanding * Multi-Modal learning from videos * Multi-concept recognition from videos * Multi-task deep neural networks for videos * Learning holistic representation from videos * Weakly supervised learning from web videos * Object, scene and event recognition from videos * Unsupervised video visual representation learning * Unsupervised and self-?supervised learning with videos INVITED SPEAKERS: * Rahul Sukthankar (Google AI, CMU) * Kristen Grauman (U. Texas at Austin, Facebook AI) - TBC * Carl Vondrick (Columbia University) * Juan Carlos Niebles (Stanford University) -TBC * Manohar Paluri (Facebook AI) SPONSORERS: * Facebook AI Research * Sensifai For questions about the HVU workshop, please contact sharma.vivek at live.in. Also, follow HVU on Twitter for the latest news: @LSHVU Organizers: Vivek Sharma, KIT, MIT Mohsen Fayyaz, University of Bonn Ali Diba, KU Leuven Manohar Paluri, Facebook AI Juergen Gall, University of Bonn Rainer Stiefelhagen, KIT Luc Van Gool, ETH Zurich & KU Leuven best, Vivek -- M.Sc. Vivek Sharma, Karlsruhe Institute of Technology (KIT), Germany Massachusetts Institute of Technology (MIT), USA Web: http://media.mit.edu/~vvsharma -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Mon Jul 22 02:08:00 2019 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Mon, 22 Jul 2019 14:08:00 +0800 Subject: Connectionists: EMMCVPR 2019 (Wuhan, China) -- Deadline approaching In-Reply-To: References: Message-ID: Call for Papers *EMMCVPR 2019* *12th International Conference on Energy Minimization Methods inComputer Vision and Pattern Recognition* 23 ? 25 October 2019 Wuhan, China http://captain.whu.edu.cn/EMMCVPR2019/ *>>> Submission deadline: 27 July 2019 <<<* Energy minimization methods have become an established computational paradigm in computer vision and pattern recognition. EMMCVPR is a regular bi-annual conference, established in 1997, dedicated to advancing the state of the art in this field. The scientific program will include the presentation of invited plenary talks and contributed research papers. Topics of interest include (but are not limited to): - Discrete and continuous optimization - Convex programming and relaxations - PDE and variational methods - Stochastic optimization - Spectral methods - Graphical models and markov random fields - Statistical methods and learning - Graph-theoretic and network-based methods - Analysis of deep architectures - Adversarial and game-theoretic models - Combinatorial optimization Application areas include (but are not limited to): - Object recognition and detection - Scene understanding - Segmentation and grouping - Restoration and inpainting - Color and texture - Computational photography - Photo and video editing - Motion and tracking - Matching and registration - Medical image analysis - Pose estimation - Action and event recognition - Shape analysis - Shape-from-X - Stereo and 3D reconstruction - Multiview geometry - Vision for graphics *Paper submission* All papers (not exceeding 14 pages) must be submitted electronically at the conference website . All submissions will be subject to a rigorous peer-review process. Accepted papers will appear in the workshop proceedings, which will be published in Springer?s Lecture Notes in Computer Science (LNCS) series after the conference (approval pending). *Important dates* - Paper submission: 27 July 2019 - Notifications: 31 August 2019 - Conference: 23 - 25 October 2019 - Camera ready due: 1 December 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From P.Tino at cs.bham.ac.uk Mon Jul 22 13:02:58 2019 From: P.Tino at cs.bham.ac.uk (Peter Tino) Date: Mon, 22 Jul 2019 18:02:58 +0100 Subject: Connectionists: CFP - 20th International conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019) Message-ID: <664577d5-9d5f-89e3-1cdb-2933ccdfa090@cs.bham.ac.uk> 20th International conference on Intelligent Data Engineering and Automated Learning (IDEAL 2019) 14-16 November, Manchester, UK http://www.confercare.manchester.ac.uk/events/ideal2019/ --------------------------------------------------------------------------- Final Call for papers: Further Deadline Extension + Short Paper Category ! --------------------------------------------------------------------------- The International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) is an annual international conference dedicated to emerging and challenging topics in intelligent data analytics and associated learning systems and paradigms. After recent successful hosting the around world, esp. in Madrid last year, the 20th edition is returning to Manchester, the birthplace of Artificial Intelligence, with the support of the Alan Turing Institute. Its main research themes or topics include, but not limited to: - Big Data Analytics - Machine Learning & Deep Learning - Data Mining - Information Retrieval and Management - Bio- and Neuro-Informatics - Bio-Inspired Models - Agents and Hybrid Intelligent Systems - Real-world Applications of Intelligent Techniques ---------------------------- Special Sessions ---------------------------- We are pleased to announce several Special Sessions lined up, which you can submit papers to, in addition to the main IDEAL 2019 track: Special Session 1: Fuzzy Systems and Intelligent Data Analysis Special Session 2: Machine Learning towards Smarter Multimodal Systems Special Session 3: Data Selection in Machine Learning Special session 4: Machine Learning in Healthcare Special session 5: Machine Learning in Automatic Control Special Seesion 6: Finance and Data Mining Special session 7: Knowledge Discovery from Data Special Seesion 8: Machine Learning Algorithms for Hard Problems ---------------------- Paper Submissions ---------------------- Authors are invited to submit their manuscripts (in pdf format) written in English by the deadline via the Easychair online submission system (https://easychair.org/conferences/?conf=ideal2018). Papers should be within 8 pages but must not exceed 12 pages, and must comply with the format of Springer LNCS/LNAI Proceedings (see www.springer.com/lncs ). Information about submissions to Workshop/Special Sessions can be found in the conference website. All accepted papers will be included in the conference proceedings, to be published by Springer in the LNCS series, indexed by EI. --------------------- Short Papers --------------------- To encourage emerging results and novel initial developments, esp. from PhD students and young researchers, we accept short papers of 4-6 LNCS pages. Short papers may be submitted a few days after the deadline. Such papers will also go through our vigorous peer-review process for its novelty and soundness with a much quicker turn-around time. Although short papers are mainly for the main track, they can be submitted to one of the Special Sessions too. The submission system will automatically treat any papers that are within 4-6 pages as short papers and PC chairs will ensure a speedy review of them. -------------------- Important dates -------------------- Extended Submission Deadline 29 July 2019 Notification of Acceptance 19 August 2019 Camera-Ready Copy Due 1 September 2019 Author/Early Registration 1 September 2019 Conference Presentation 14-16 November 2019 ------------------------ Organising Committee ------------------------ Programme Co-chairs - Hujun Yin, University of Manchester, UK - David Camacho, Universidad Aut?noma de Madrid, Spain - Peter Tino, University of Birmingham, UK - Ronaldo Menezes, University of Exeter, UK - Antonio Tallon, University of Seville, Spain - Richard Allmendinger, The University of Manchester, UK ----------- Sponsors & Best Paper Awards ----------- The University of Manchester The Alan Turing Institute The IEEE CIS UK & Ireland Chapter Springer Several sponsored Best Paper Awards will be given based several aspects such as originality, development, demonstration/presentation, and application. --------- Contact --------- For all general information concerning IDEAL 2019, contact: confercare-online at manchester.ac.uk (quote "IDEAL" in subject) or hujun.yin at manchester.ac.uk -- Peter Tino The University of Birmingham School of Computer Science Edgbaston, Birmingham B15 2TT, UK +44 121 414 8558 , fax: 414 4281 http://www.cs.bham.ac.uk/~pxt/ From j.eden at imperial.ac.uk Tue Jul 23 05:22:06 2019 From: j.eden at imperial.ac.uk (Eden, Jonathan) Date: Tue, 23 Jul 2019 09:22:06 +0000 Subject: Connectionists: Open positions in human-machine interaction at Imperial College London Message-ID: We at the human robotics group (https://www.imperial.ac.uk/human-robotics) use an integrative approach of neuroscience and robotics to investigate human sensorimotor control, and to design efficient human-machine interaction, assistive devices and training systems for neuro-rehabilitation. We have openings for 2 postdoctoral and 5 PhD positions for projects related to: - predictive haptic coding in animals and for robotics (https://www.ph-coding.eu/) - haptic communication between humans and with robots (see Takagi et al. Nature Human Behaviour 2017, PLoS Computational Biology 2018, eLife 2019; Li et al. Nature Machine Intelligence 2019.) - sensorimotor augmentation and control of supernumerary limbs (see Abdi et al. Scientific Reports 2016; Mehring et al. Nature Communication 2019) - technology for social neurorehabilitation (Mace et al. J of NeuroEngineering and Rehabilitation 2017, in collaboration with https://www.gripable.co/) - development of neural activity in infants born preterm and with cerebral palsy (see DallOrso et al. Cerebral Cortex 2018, Mutalib et al. J of NeuroEngineering and Rehabilitation 2019) Interesting applicants with suitable background(s) can submit a CV and <1 page of motivation for such position to > with title "HRG position: ". You can also ask for information at the same address. We are looking for postdocs with a strong background in computational modelling. These postdocs will have the opportunity to work with our network of collaborators and to be involved in guiding of PhD students in their respective projects. Suitable backgrounds for Ph.D. applicants may be in physics, related engineering fields and computer science. Note that the funding is only for the EU/EEA/UK level of fees for PhD studies at Imperial. However candidates from outside the EU are welcome to apply if they have suitable complementary funding. I look forward to your application! Etienne Burdet www.imperial.ac.uk/human-robotics eburdet at ic.ac.uk Imperial College London South Kensington campus SW7 2AZ London, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From laszlojeni at cmu.edu Mon Jul 22 17:52:33 2019 From: laszlojeni at cmu.edu (Laszlo A. Jeni) Date: Mon, 22 Jul 2019 17:52:33 -0400 Subject: Connectionists: Call for papers: 2nd 3D Face Alignment in the Wild Challenge & Workshop @ ICCV 2019 Message-ID: ********************************************************************** 2nd 3D Face Alignment in the Wild Challenge & Workshop In conjunction with ICCV 2019, Seoul, Korea (Oct 27th- Nov 2nd, 2019) Website: https://3dfaw.github.io CMT is open: https://cmt3.research.microsoft.com/3DFAW2019 ********************************************************************** --------------- CALL FOR PAPERS --------------- Over the past few years a number of research groups have made rapid advances in dense 3D alignment from 2D images and obtained impressive results. How these various methods compare is relatively unknown. Previous benchmarks addressed sparse 3D alignment and single image 3D reconstruction. No commonly accepted evaluation protocol exists for dense 3D face reconstruction from video with which to compare them. To enable comparisons among alternative methods, we present the 2nd 3D Face Alignment in the Wild - Dense Reconstruction from Video Challenge. This topic is germane to both computer vision and multimedia communities. For computer vision, it is an exciting approach to longstanding limitations of single-image 3D reconstruction approaches. For multimedia, 3D alignment would enable more powerful applications. Workshop track ~~~~~~~~~~~~~~ The workshop track is intended to bring together computer vision researchers whose work is related to 2D or 3D face alignment. We are soliciting original contributions which address a wide range of theoretical and application issues of 3D face alignment for computer vision applications, including but not limited to: - 3D face alignment from 2D dimensional images - Model- and stereo-based 3D face reconstruction - Dense and sparse face tracking from 2D and 3D dimensional inputs - Applications in AR / VR - Face alignment for embedded and mobile devices - Facial expression retargeting (avatar animation) - Face alignment-based user interfaces Challenge Track ~~~~~~~~~~~~~~~ The challenge track evaluates 3D face reconstruction methods on a new large corpora of profile-to-profile face videos annotated with corresponding high-resolution 3D ground truth meshes. The corpora includes profile-to-profile videos obtained under a range of conditions: - high-definition in-the-lab video, and - unconstrained video from an iPhone device. For each subject, high-resolution 3D ground truth scans were obtained using a Di4D imaging system. The goal of the challenge is to reconstruct the 3D structure of the face from the two different video sources. ---------- SUBMISSION ---------- For paper submission, please use the CMT site: https://cmt3.research.microsoft.com/3DFAW2019 For participating in the challenge, please visit the CodaLab page for more details: https://codalab.lri.fr/competitions/572 https://3dfaw.github.io --------------- IMPORTANT DATES --------------- Challenge Track June 27th: Challenge site opens August 1st: Testing phase begins August 15: Competition ends Workshop Track July 31st: Paper submission deadline August 21st: Notification of acceptance August 28th: Camera ready submission ------------------- WORKSHOP ORGANIZERS ------------------- Laszlo A. Jeni, Carnegie Mellon University, USA Jeffrey F. Cohn, University of Pittsburgh, USA Lijun Yin, Binghamton University, USA Data chairs: Rohith Krishnan Pillai, Carnegie Mellon University, USA Huiyuan Yang, Binghamton University, USA Zheng Zhang, Binghamton University, USA --------------------------- TECHNICAL PROGRAM COMMITTEE --------------------------- Abhinav Dhall, Australian National University, Australia G?bor Szirtes, K?RT Akad?mia / bsi.ai Hamdi Dibeklioglu, Bilkent University, Turkey Michel Valstar, University of Nottingham, UK Patrik Huber, University of Surrey, UK Sergio Escalera, University of Barcelona, Spain Shaun Canavan, University of South Florida, USA Vitomir ?truc, University of Ljubljana, Slovenia Xiaoming Liu, Michigan State University, USA Xing Zhang, A9 Zoltan Kato, University of Szeged, Hungary --------------------- JOURNAL SPECIAL ISSUE --------------------- A special issue on a top journal is planned. For more information: https://3dfaw.github.io -- +------------------------------------------ | Laszlo A. Jeni, PhD | Systems Scientist (faculty) | Robotics Institute | Carnegie Mellon University, | Web: http://www.laszlojeni.com | Email: laszlojeni at cmu.edu | Tel: (+1) 412-268-4461 +------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dimitri.ognibene at gmail.com Tue Jul 23 11:28:44 2019 From: dimitri.ognibene at gmail.com (Dimitri Ognibene) Date: Tue, 23 Jul 2019 16:28:44 +0100 Subject: Connectionists: [Job][Postdoc]: Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation) References: Message-ID: Dear colleagues, I would be very grateful if you could forward this job advert to anybody who could be interested. ** Application deadline 14th of august** To apply https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=773982KP3K&WVID=9918109NEm&LANG=USA https://www.jobs.ac.uk/job/BTV423/senior-research-officer-in-social-media-modelling A PhD scholarship on the same topics will also be advertised soon. *Postdoc and Phd Positions in: Modelling beliefs dynamics of social media users with machine learning methodologies at University of Essex funded by VolkswagenStiftung (Volkswagen Foundation)* Project: Courage Applications are invited for a 4 years position of Senior Postdoctoral Research Officer and a PhD shcolarship on ht project ?COURAGE: A Social Media Companion Safeguarding and Educating Students?. This project is an international collaboration funded by VolkswagenStiftung (Volkswagen Foundation) as part of the Artificial Intelligence and the Society of the Future funding initiative. The project partners include the Universitat Pompeu Fabra (Spain), the Istituto per le Tecnologie Didattiche of the National Council of Research ITD-CNR (Italy), Hochschule Ruhr West (Germany) and the Rhine-Ruhr Institute for System Innovation (Germany). The project aims to develop a Virtual Social Media Companion that educates and supports teenage school students facing the threats of social media such as discrimination and biases as well as hate speech, bullying, fake news and other toxic content. The project involves a substantial experimentation aspect in collaboration with multiple schools around Europe. It will thus provide a unique chance to perform interventions to test the validity of social interaction theories and governance methods. The Essex team will drive two strands of this work, the machine-learning-based user beliefs dynamics modelling aspect and the process of analysing visual and textual content. More specifically, we aim at developing Bayesian computational models of beliefs dynamics of social media users to support governance and educational strategies. These models will also be applied to evaluate socially relevant variables, such as trust and inclusion. We will build on and implement state-of-the-art CV, NLP & AI methods to provide measurements of sentiment, bias, hatefulness, veracity, polarization, and sensationalism of social media content. In addition, we will drive forward the state of the art in detecting hate speech and biased content. The companion will actively counteract this kind of content, balancing it with opposite perspectives and proposing specifically themed challenges adopting ideas used in games. The successful candidate will be based in the School of Computer Science and Electronic Engineering at Colchester Campus of The University of Essex. The post is available for four years with a start date from September 2019. To apply: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=773982KP3K&WVID=9918109NEm&LANG=USA For more information: https://sites.google.com/site/dimitriognibenehomepage/jobs?authuser=0 Applicants are encouraged to contact?Dr. Dimitri Ognibene (dimitri.ognibene at essex.ac.uk ) for informal enquiries and further information on research objectives. -- Dimitri Ognibene, PhD Lecturer in Computer Science and Artificial Intelligence Department of Computer Science and Electronic Engineering, University of Essex, UK http://sites.google.com/site/dimitriognibenehomepage/ Skype: dimitri.ognibene -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Inel at tudelft.nl Tue Jul 23 05:53:44 2019 From: O.Inel at tudelft.nl (Oana Inel) Date: Tue, 23 Jul 2019 09:53:44 +0000 Subject: Connectionists: SIGCHI Student Travel Grant Deadline *Thursday, August 1st* Message-ID: * We apologize if you receive multiple copies of this message * This is a gentle reminder that the deadline for the SIGCHI Student Travel Grant (https://sigchi.org/conferences/student-travel-grants/sigchi-student-travel-grant/) is quickly approaching next week for your respective conferences. The applications are due Thursday, August 1st, 2019. Please share information about the student travel grant and application link with colleagues planning to attend: Application Due: August 1, 2019 (please see the form linked: https://sigchi.forms.fm/sstg-2019-q3/forms/6762 ) Notification: August 15, 2019 ? CHI 2020 ? HRI 2020 ? IUI 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.schmuker at biomachinelearning.net Tue Jul 23 13:26:55 2019 From: m.schmuker at biomachinelearning.net (Michael Schmuker) Date: Tue, 23 Jul 2019 18:26:55 +0100 Subject: Connectionists: Dual Award PhD (UH/WSU) in Neuromorphic olfaction - deadline and scope extended Message-ID: <50524EB2-59A6-41A8-9EC6-D12E9AE09250@biomachinelearning.net> Now open for all applicants! An exceptional opportunity for a dual award PhD in Neuromorphic olfaction is open at the University of Hertfordshire, UK, that includes a year abroad at Western Sydney University, Australia. The successful candidate will obtain a PhD degree from both UH and WSU. We offer an exciting 3-year project in Neuromorphic computing under joint supervision of Dr Michael Schmuker (UHERTS), and Dr Andr? van Schaik (WSU). The first and third year of the programme will be spent in the Biocomputation research group at UH, with the second year spent at the International Centre for Neuromorphic Systems, led by Andr? van Schaik (WSU). The successful candidate has the unique opportunity to join two vibrant and research-driven teams at opposite ends of the world and carry home two PhD awards. The ideal candidate has an exceptional interest in at least one of neuromorphic computing, event-based data science, chemical sensing. The position comes with a bursary of ?15,009 per year. Airfare to and from WSU in Australia is covered, too. There is no restriction on the candidate?s current country of residence. Interested? Please get in touch informally with Dr. Michael Schmuker by email as soon as possible. Don?t delay! Shortlisting will begin on 29th July 2019 (extended deadline). How to apply Download the application form , fill it out, save it to your disk, and return it to: Lynette Spelman and Emma Thorogood Research Student Administrators University of Hertfordshire College Lane Hatfield, Herts AL10 9AB tel: +44 (0)1707 286083 ? Dr Michael Schmuker AFHEA Reader in Data Science Biocomputation Group University of Hertfordshire https://biomachinelearning.net -------------- next part -------------- An HTML attachment was scrubbed... URL: From salah at boun.edu.tr Wed Jul 24 05:01:31 2019 From: salah at boun.edu.tr (Albert Ali Salah) Date: Wed, 24 Jul 2019 12:01:31 +0300 Subject: Connectionists: Last CFP: 10th Int. Workshop on Human Behavior Understanding at ICCV'19 Message-ID: Dear colleagues, The deadline for the 10th HBU is extended to 25th July, so tomorrow is the last day for submissions. Please note that the submissions can be on the focus theme, as well as on the general topics of the HBU. Apologies for cross posting... HBU Organizers ****************************** 10th Workshop on Human Behavior Understanding (HBU) In conjunction with International Conference on Computer Vision (ICCV) 2019 27 October 2019, Seoul, Korea Focus Theme: Generating, Forging and Detecting Fake Human Behavioral Data https://project.inria.fr/whbu/ ****************************** CALL FOR PAPERS As in many other computer vision tasks, deep learning has brought revolutionary advances in human behaviour understanding from visual data. Deep models are now extremely effective not only in detecting and analyzing human faces, bodies and collective activities but also in generating realistic human-like behavioral data. From full-body deepfakes to AI-based translation dubbing, deep networks can now synthesize images and videos of humans such as they are virtually indistinguishable from real ones. The workshop will focus on recent advances and novel methodologies for generating human behaviour data, with special emphasis on approaches for forging images and videos depicting real-looking human faces and/or full bodies and on algorithms for detecting fake human-like visual data. The HBU workshops, organized since 2010 as satellite to ICPR?10, AMI?11, IROS?12, ACM Multimedia?13, ECCV?14 and UBICOMP?15, ACM Multimedia?16, FG?18, ECCV?18 Conferences, aim to inspect developments in areas where smarter computers that can sense human behavior. These events have a unique aspect of fostering cross-pollination of different disciplines, bringing together researchers of mobile and ubiquitous computing, computer vision, multimedia, robotics, HCI, artificial intelligence, pattern recognition, interaction design, ambient intelligence, and psychology. The diversity of human behavior, the richness of multi-modal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform. Each edition of the HBU workshop had a different focus theme, dealing with a newly emerging topic or question in the automatic analysis of human behavior. The focus theme of this year is of high interest for computer vision researchers: Generating, Forging and Detecting Fake Human Behavioral Data. The automatic generation of visual contents is currently a very hot topic in the community. With this edition of the HBU workshops, we attempt to foster research on how to generate visual data (still images and videos) describing human behavior both from the applicative and methodological points of view. ****************************** TOPICS ICCV?2019 HBU workshop, in addition to covering the main themes of human behavior understanding, deals with generating human behavior data, with special emphasis on methodologies and approaches for forging images and videos depicting real-looking human faces and/or full bodies and on algorithms for detecting fake human-like visual data. Contributions based on deep neural architectures are welcome, as well as methods based on other techniques (e.g. parametric models). These contributions could address the following topics: *Human Behavior Analysis Systems* Action and activity recognition Affect analysis Face analysis Gaze, attention and saliency Gestures and haptic interaction Social signal processing Voice and speech analysis Theoretical frameworks of behavior analysis Data collection, annotation, and benchmarking User studies and human factors *Generating Visual data of Human Behavior* Methods for face synthesis and modification of facial attributes (e.g. age, expression). Approaches for generating human bodies and altering their properties (e.g. 3D pose, clothes). Techniques for forging human-like behavioral data Methodologies for counteracting adversarial attacks. Techniques for synthesizing visual data depicting collective human behaviour. Novel deep generative models for sequence-like data generation. Approaches to synthesize multi-modal human behavioral data. Applications (e.g. surveillance, entertainment, autonomous driving, fashion, robotics). Papers must be submitted online through the CMT submission system at: https://easychair.org/conferences/?conf=hbu2019 and will be double-blind peer reviewed by at least two reviewers. Submissions should conform to the ICCV 2019 proceedings style. We expect two kind of submissions: -Full papers of new contributions (8 pages NOT including references) -Short papers describing incremental/preliminary work (2 pages NOT including references) More info at: https://project.inria.fr/whbu/ ****************************** IMPORTANT DATES Paper Submission (last extension): July 25th, 2019 Notification of Acceptance: August 13th, 2019 Camera-Ready: August 27th, 2019 ****************************** INVITED SPEAKERS Cristian Sminchisescu, Google & Lund University, DE Hao Li, University of Southern California, USA ****************************** ORGANIZERS: Xavier Alameda-Pineda, Inria, FR. Xiaoming Liu, Michigan State University, USA. Elisa Ricci, FBK & University of Trento, IT. Albert Ali Salah, Utrecht University, NL. Nicu Sebe, University of Trento, IT. Sergey Tulyakov, Snap Research, USA. -- Dr. Albert Ali Salah http://www.staff.science.uu.nl/~salah006/ Utrecht University Dept. Information and Computing Sciences; From barros at informatik.uni-hamburg.de Tue Jul 23 08:07:33 2019 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Tue, 23 Jul 2019 14:07:33 +0200 Subject: Connectionists: CFP Frontiers Research Topic: Closing the Loop: From Human Behavior to Multisensory Robots Message-ID: Call For Papers - Frontiers Research Topic: Closing the Loop: From Human Behavior to Multisensory Robots I. Aim and Scope The ability to efficiently process crossmodal information is a key feature of the human brain that provides a robust perceptual experience and behavioral responses. Consequently, the processing and integration of multisensory information streams such as vision, audio, haptics, and proprioception play a crucial role in the development of autonomous agents and cognitive robots, yielding an efficient interaction with the environment also under conditions of sensory uncertainty. This Research Topic invites authors to submit new findings, theories, systems, and trends in multisensory learning for intelligent agents and robots with the aim to foster the development of novel and impactful research which will contribute to the understanding of human behavior and the development of artificial systems operating in real-world environments. II. Potential Topics Topics include, but are not limited to: - New methods and applications for crossmodal processing and multisensory integration (e.g. vision, audio, haptics, proprioception) - Machine learning and neural networks for multisensory robot perception - Computational models of crossmodal attention and perception - Bio-inspired approaches for crossmodal learning - Multisensory conflict resolution and executive control - Sensorimotor learning for autonomous agents and robots - Crossmodal learning for embodied and cognitive robots III. Submission - Abstract - 28th August 2019 - Paper Submission - 02nd December 2019 We have special discounts for open access papers participating in this research topic. If you have any further question, please let us know. More information: https://www.frontiersin.org/research-topics/9321/closing-the-loop-from-human-behavior-to-multisensory-robots IV. Guest Editors Pablo Barros, University of Hamburg, Germany Doreen Jirak, Hamburg University, Germany German I. Parisi, Apprente, Inc., USA Jun Tani, Okinawa Institute of Science and Technology, Japan -- 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 meteozay at gmail.com Wed Jul 24 05:03:02 2019 From: meteozay at gmail.com (Mete Ozay) Date: Wed, 24 Jul 2019 18:03:02 +0900 Subject: Connectionists: CFP: The First Workshop on Statistical Deep Learning in Computer Vision. Message-ID: Dear Colleagues, It is our pleasure to invite you to submit extended abstracts (4 pages long excluding references, with optional appendix) for oral and poster presentations at The First Workshop on Statistical Deep Learning in Computer Vision (SDL-CV) which will be held in conjunction with ICCV 2019. We will also invite selected papers for submission to a special issue on Statistical Deep Learning for Computer Vision in the International Journal of Computer Vision (IJCV). Extended versions of selected papers will be invited for book chapter publication. Submission Deadline: July 31, 2019 Workshop Website: http://www.sdlcv-workshop.com/ Please find the full CfP below. Kind regards, Mete Ozay on behalf of the organizers === Workshop Description === Deep learning has been a useful and primary toolbox to perform various computer vision tasks successfully in the recent years. Various seminal works have been proposed to explain the underlying theory and mechanisms of these successful algorithms, in order to further improve their various properties, such as generalization capacity of models, representation capacity of learned features, convergence and computational complexity of training methods. In this workshop, we consider statistical approaches employed to improve our understanding of deep learning, and to develop methods to boost their properties, with applications in computer vision, such as object recognition, detection, segmentation, tracking, scene description, visual question answering, robot vision, image enhancement and recovery. The workshop will consist of invited talks, oral talks, poster sessions and a research panel. Our target audience is graduate students, researchers and practitioners who have been working on development of novel statistical deep learning algorithms and/or their application to solve practical problems in computer vision. Accepted papers will present their results in the workshop in oral talks and poster sessions. We will also invite selected papers for submission to a special issue on Statistical Deep Learning for Computer Vision in the International Journal of Computer Vision (IJCV). Extended versions of selected papers will be invited for book chapter publication. === Covered Topics === We solicit original contributions that deploy statistical deep learning methods employed to perform various computer vision tasks including, but not limited to: - Statistical Understanding of Deep Learning -- Interpretable deep learning, quantitative measures and analyses - Statistical Normalization Methods -- Feature, weight, gradient and hybrid normalization methods - Uncertainty in Deep Learning -- Uncertainty measures, adversarial methods, intrinsic and extrinsic uncertainty of models - Information Theory of Deep Learning -- Information geometry, information bottleneck, rate distortion, etc. - Probabilistic Deep Learning -- Variational methods, graphical methods, Bayesian learning and inference -- Bayesian deep learning -- Neural network architecture search via probabilistic models - Stochastic Optimization for Deep Learning -- Optimization on Riemannian manifolds, topological manifolds, and product manifolds - Probabilistic Programming for Deep Learning -- Scene perception, logical reasoning, autonomous driving - Statistical Meta-learning Algorithms -- Few-shot learning/incremental learning for image classification and beyond -- Zero-shot learning for high-level vision tasks - Reinforcement Learning for Vision Systems -- RL algorithms and vision problems - Causal Deep Learning -- Causal inference, causal feature learning === Call for Papers === We invite submissions describing works in the domains suggested above or in closely-related areas. We encourage the submission of previously published material (clearly marked as such) that is closely related to the workshop topic. We will invite the best original papers for an oral plenary presentation. Accepted papers will be presented in oral/poster sessions at the workshop and appear in the CVF open access archive. The review process is single-blind. Each paper will receive strong accept (for oral candidate), accept or reject decision. Note that there is no author feedback phase during submission. We will also invite selected papers for submission to a special issue on Statistical Deep Learning for Computer Vision in the International Journal of Computer Vision (IJCV). Extended versions of selected papers will be invited for book chapter publication. Paper submission deadline: July 31, 2019 Author notification: Sep 4, 2019 Camera-ready deadline: Sep 25, 2019 === Submission Instructions === Format and paper length: A paper submission has to be in English, in pdf format, and at most FOUR pages (excluding references). The paper format must follow the same guidelines as used in the ICCV 2019 submissions. For further details, please see: http://www.sdlcv-workshop.com/ === Invited Speakers === We are proud to have a group of diverse invited speakers covering the entire spectrum of scene and and situation understanding research: * Xianfeng Gu, Stony Brook University * Alex Kendall, University of Cambridge * Yi Ma, University of California, Berkeley * Yingnian Wu, University of California, Los Angeles * Alan L. Yuille, Johns Hopkins University * Lizhong Zheng, Massachusetts Institute of Technology === Organizers === Ping Luo, HKU Mete Ozay, PKSHA Hongyang Li, CUHK Chaochao Lu, Cambridge University Lei Huang, IIAI Wenqi Shao, CUHK Xianfeng Gu, Stony Brook University Alan L. Yuille, Johns Hopkins University Xiaogang Wang, CUHK Yi Ma, University of California, Berkeley Lizhong Zheng, MIT -------------- next part -------------- An HTML attachment was scrubbed... URL: From compco2019 at ikw.uos.de Wed Jul 24 07:44:42 2019 From: compco2019 at ikw.uos.de (Computational Cognition 2019) Date: Wed, 24 Jul 2019 13:44:42 +0200 Subject: Connectionists: [ComCo-2019] Call for participation and contributions - Computational Cognition 2019 - October 1-2, 2019, Osnabrueck, Germany Message-ID: Call for participation and contributions: *Computational Cognition 2019 Workshop* 1-2 October 2019, Osnabr?ck, Germany www.comco2019.com ** An interdisciplinary networking event / scientific workshop ** We would like to draw your attention to an upcoming scientific community event. A lot is known about the neural signals underlying basic sensorimotor processes and also a fair bit about the cognitive processes involved in reasoning, problem-solving, or language. However, explaining how high-level cognition can arise from low-level mechanisms is a long-standing open problem in Cognitive Science. Therefore, this workshop tackles problems such as grammar learning, structured representations, or the production of complex behaviors with neural modeling, aiming to contribute to the re-integration of Cognitive Science and Artificial Intelligence. *COMCO 2019* brings together experts studying the mind from a computational point of view to better understand human and machine intelligence. Thus, if you are interested in the following or related fields, this event is for you: - Cognitive Science - Artificial Intelligence - Deep Learning - Neuroscience - Linguistics This workshop will combine poster sessions and, invited speakers and participants contributed talks in a networking and ideas-exchanging event on the splendid setting of the Botanical Garden in Osnabr?ck. Invited and confirmed speakers: - *Karl Friston*, University College London - *Roger Levy*, Massachusets Institute of Technology - *Colin Phillips*, University of Maryland - *Will Monroe*, Standford University and Duolingo - *Tim Kietzmann*, University of Cambridge - *Terrence Stewart*, University of Waterloo - *Dieuwke Hupkes*, University of Amsterdam We encourage participants to submit a 1-page (A4 format) abstract for presenting their research projects at the poster session and/or to give a 20 minute contributed talk among our invited speakers. For that, please note the following deadlines: - Abstract submission: September 1st - Acceptance notification: September 10th - Bachelor and Master students: 50 Euro - Other participants: 125 Euro Also, please note the following deadlines: - Registration: September 1st - Registration fee payment: September 15th - Registration cancellation: September 20th We are looking forward to meeting you at the workshop! - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - *Organized by the ComCo-2019 Team:* Britta Grusdt Marc Vidal De Palol Chris Lukanov team at comco2019.com Institute of Cognitive Science, *University of Osnabr?ck* www.comco2019.com -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: comco2019poster.pdf Type: application/pdf Size: 352391 bytes Desc: not available URL: From blair.armstrong at utoronto.ca Wed Jul 24 09:18:31 2019 From: blair.armstrong at utoronto.ca (Blair Armstrong) Date: Wed, 24 Jul 2019 13:18:31 +0000 Subject: Connectionists: Postdoc positions in reading and semantic ambiguity (University of Toronto Scarborough) Message-ID: <93945b54-ca4a-857d-76ff-202212b037c7@utoronto.ca> The Computation and Psycholinguistics Laboratory (CAP Lab) in the Department of Psychology at the University of Toronto Scarborough invites applications for two postdoctoral fellows, as detailed in the following job postings: Position 1: Computational mechanisms underlying reading (initial review begins August 15, 2019). https://www.utsc.utoronto.ca/psych/job-posting/postdoctoral-researcher-computation-and-psycholinguistics-laboratory-reading Position 2: Computational mechanisms underlying semantic ambiguity resolution (initial review begins August 23, 2019). https://www.utsc.utoronto.ca/psych/job-posting/postdoctoral-researcher-computation-and-psycholinguistics-laboratory-ambiguity Blair C. Armstrong Assistant Professor Department of Psychology and Centre for French & Linguistics University of Toronto Scarborough -------------- next part -------------- An HTML attachment was scrubbed... URL: From danko.nikolic at gmail.com Thu Jul 25 04:06:15 2019 From: danko.nikolic at gmail.com (Danko Nikolic) Date: Thu, 25 Jul 2019 10:06:15 +0200 Subject: Connectionists: Quickly fading afterimages and hierarchical adaptations Message-ID: Hi everyone, We finally put together the first research paper reporting empirical evidence in support of the theory of hierarchical adaptations -- a.k.a the theory of practopoiesis. The link is here: https://www.biorxiv.org/content/10.1101/666198v1 We discovered a hierarchy of adaptations applied while the mind manages afterimages. Did you know that hierarchical adaptations are inconsistent with connectionism (the very name of this list is connectionism)? Practopoiesis abandons the idea that it is primarily the synapses that determine what we know and what we do. Instead, the fast adaptations of neurons is what matters. See this blog post: https://sapienlabs.co/finding-an-alternative-to-connectionism/ Also, did you know that hierarchial adaptations explain why Darwin won over Lamarck? According to the theory of hierarchical adaptations, Darwinism is the only way how evolution could possibly work; there is something like Knowledge Shielding and only genes that randomly combine can shield knowledge that has been so painstakingly acquired by ancestors. Even more excisting is that similar applies to the brain according to the theory: a similar form of knowledge shielding applies to our skills and declarative knowledge, making us smarter, more intelligent and succesful. https://www.sciencedirect.com/science/article/pii/S002251931500106X I hope you enjoy reading those texts. I thank you for your interest and your comments. Best, Danko -------------- next part -------------- An HTML attachment was scrubbed... URL: From bjoern.ommer at iwr.uni-heidelberg.de Wed Jul 24 14:58:55 2019 From: bjoern.ommer at iwr.uni-heidelberg.de (=?UTF-8?Q?Bj=c3=b6rn_Ommer?=) Date: Wed, 24 Jul 2019 20:58:55 +0200 Subject: Connectionists: PhD and PostDoc Positions in Computer Vision Message-ID: <8be04541-3e8e-d44b-6107-f2c2455fbdc4@iwr.uni-heidelberg.de> PhD and PostDoc Positions in Computer Vision The Computer Vision group at Heidelberg University (Germany) is offering several fully funded PhD and PostDoc positions that became available with several recently acquired research grants. Your future research will be on different aspects of image and video understanding, with a particular focus on topics such as image and video synthesis, disentangled representation learning, visual retrieval, human behavior analysis, or deep metric learning. There is also the optional possibility to explore applications of this fundamental research through existing collaborations of the Computer Vision group in different areas such as automotive or neuroscience. You should have a strong background in vision and learning and be fluent in Python as well as English. Our group offers an inspiring environment for your future research and our institute provides all you need to carry it out. And besides: the entire department has recently moved into a shiny new building with beautiful views of the picturesque medieval city of Heidelberg. The salary of the full position is competitive (TVL/13 up to TVL/14). Your application should include a CV, a cover letter including a statement of research interests, a transcript of records, a list of publications, and two academic references. Should you have any other documents in support of your application that you want us to be excited about, send us a link ? your and our mailserver will thank you. Please send your application as a PDF to hci.applications at iwr.uni-heidelberg.de. For further inquiries please contact Prof. Dr. Bj?rn Ommer (hci.iwr.uni-heidelberg.de/Staff/bommer). From terry at salk.edu Thu Jul 25 02:45:32 2019 From: terry at salk.edu (terry) Date: Wed, 24 Jul 2019 23:45:32 -0700 Subject: Connectionists: Misha Mahowald Prize In-Reply-To: References: Message-ID: <36c19ed9-aba7-bbff-886f-8de0e3d9f89b@salk.edu> The Misha Mahowald Prize recognizes outstanding research in neuromorphic engineering. The Prize is named for the late Misha Mahowald, one of the most influential pioneers of the field of neuromorphic engineering. The value of the 2019 Prize will be $10,000. See attached flyer. Contact: info at iniforum.ch Terry ----- -------------- next part -------------- A non-text attachment was scrubbed... Name: Misha Mahowald Prize.pdf Type: application/pdf Size: 210544 bytes Desc: not available URL: From hocine.cherifi at u-bourgogne.fr Thu Jul 25 05:27:42 2019 From: hocine.cherifi at u-bourgogne.fr (hocine cherifi) Date: Thu, 25 Jul 2019 11:27:42 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2019 Lisbon Dec 10-12,2019 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 03, 2019. *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) *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) *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 alamer_2005 at yahoo.com Thu Jul 25 03:50:13 2019 From: alamer_2005 at yahoo.com (Ali Ismail Awad) Date: Thu, 25 Jul 2019 07:50:13 +0000 (UTC) Subject: Connectionists: A new review paper: A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned In-Reply-To: <309554381.827778.1564039981663@mail.yahoo.com> References: <309554381.827778.1564039981663.ref@mail.yahoo.com> <309554381.827778.1564039981663@mail.yahoo.com> Message-ID: <1519466160.1235871.1564041013619@mail.yahoo.com> Dear Colleagues, We published a new review paper entitled "?A review on brain tumor diagnosis from MRI images:Practical implications, key achievements, and lessons learned" Please download for free, read, and comment? using this link:?https://www.researchgate.net/publication/333621096_A_review_on_brain_tumor_diagnosis_from_MRI_images_Practical_implications_key_achievements_and_lessons_learned? Best regards,Ali. -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Thu Jul 25 05:55:49 2019 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Thu, 25 Jul 2019 11:55:49 +0200 Subject: Connectionists: IET Computer Vision - special issue on Local Image Descriptors - 7 days left Message-ID: <04242cb8-3dce-6347-5ecc-891a2f7f3ae7@unifi.it> ?? !!!? D E A D L I N E??? A P P R O A C H I N G? !!! ???????? !!!?? 7?? D A Y S??? L E F T?? !!! ******************************************************** ????????? Apologies for multiple posting ?? Please distribute this call to interested parties ******************************************************** ??????????? Call for Papers -- special issue ? of the international journal IET Computer Vision on ??? ---------------------------------------------- ????? Local Image Descriptors in Computer Vision ??? ---------------------------------------------- Local image descriptors are involved in a multitude of relevant computer vision tasks dealing with point correspondences among several images, from registration through detection to classification. This has ensured that local image descriptors remained an evergreen topic through the years, up to the modern solutions and challenges arising from deep learning advances, big data and hardware improvements. This special issue will provide the computer vision community with the opportunity to systematically collect and share the latest developments and trends on this active research field. It will also offer scientists the chance to propose original ideas and uncommon approaches, out of the mainstream ones, and open to unexplored research directions. Topics include, but are not limited to: - recent advances in local image detector and descriptor design - handcrafted vs deep and general data-driven local descriptors - time and storage efficient descriptor solutions - local image descriptors for large-scale scenarios - enhanced matching with statistical and spatial constraints - uncommon and innovative applications of local descriptors - deep local descriptors interpretation and visualization - descriptor evaluation, new benchmark protocols and datasets **************************************** ?? Submission Deadline: 1 August 2019 **************************************** Submit your paper to manuscript submission and peer review site via the following link: ??????????? >>>>>> www.ietdl.org/IET-CVI<<<<<< ----------------- ?Editor-in-Chief ----------------- Majid Mirmehdi, University of Bristol, UK ---------------- ?Guest Editors ---------------- Carlo Colombo, University of Florence, Italy Fabio Bellavia, University of Florence, Italy ---------------------------------------- Pdf flyer of the call for special issue ---------------------------------------- https://digital-library.theiet.org/files/IET_CVI_Local_Image_Descriptors.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From Anna.Kruspe at dlr.de Fri Jul 26 08:07:35 2019 From: Anna.Kruspe at dlr.de (Anna.Kruspe at dlr.de) Date: Fri, 26 Jul 2019 12:07:35 +0000 Subject: Connectionists: Postdoc position in Machine Learning @ German Aerospace Center (DLR) Message-ID: The German Aerospace Center's Institute of Data Science in Jena, Germany, is currently seeking a postdoc with at least 3 years' experience in deep learning. Our newly established machine learning group focuses on developing deep learning approaches for a broad range of applications. This group maintains a close cooperation with the Remote Sensing Technology Institute in Oberpfaffenhofen, and is in frequent contact with other institutes of the German Aerospace Center (DLR). As such, the developed methods will be applied and evaluated in various domains with close relevance to applications within DLR, particularly earth observation. Quality control for these methods is also emphasized; aspects of this include validation, robustness, uncertainty modeling, and interpretability. This position will focus in particular on the development of novel approaches for low-resource tasks and noisy data. A full description of the position, including the link to the application portal, is available here: https://www.dlr.de/dlr/jobs/en/desktopdefault.aspx/tabid-10596/1003_read-33291/ For questions, please do not hesitate to contact me. -- Deutsches Zentrum f?r Luft- und Raumfahrt e.V. (DLR) Institute of Data Science | Data Management and Analysis | M?lzerstra?e 3 | D-07745 Jena Dr. Anna Kruspe | Acting Group Lead Machine Learning Telefon +49 3641 30960 127 | anna.kruspe at dlr.de DLR.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From courtiol.julie at gmail.com Thu Jul 25 11:10:17 2019 From: courtiol.julie at gmail.com (Julie Courtiol) Date: Thu, 25 Jul 2019 17:10:17 +0200 Subject: Connectionists: TheVirtualBrain Node#9 Workshop, August 31 2019, Warsaw Message-ID: *TheVirtualBrain * team is organising its *Node 9 Workshop on August 31, in Warsaw, Poland*! Please consider attending the workshop and sharing the information to your group in case this would be useful for them! For more infos, click here Hope to see you there! Best regards, Julie Courtiol Research Fellow Charit? Universit?tsmedizin Berlin ---------------------------------------- The workshop is dedicated to a theoretical and practical *understanding of large-scale brain network modeling using the open-source neuroinformatics platform The Virtual Brain (TVB)*. This simulation environment enables the biologically realistic modeling of whole-brain network dynamics across different brain scales, using personalized structural connectome-based approach. Configurable brain network models generate macroscopic neuroimaging signals including functional MRI, intracranial and stereotactic EEG, surface EEG and MEG for single subjects. Researchers from different backgrounds can benefit from an integrative software platform including a simulation core written in Python and a supporting framework for data management (generation, organization, storage, integration and sharing). The workshop is an official training event of the *NeuroInformatics 2019 * that will be held on September 1-2, also in Warsaw. *:: Workshop Format * ? Lectures ? Hands-on tutorials *:: Workshop Program Overview* ? Architecture of TVB ? Theoretical background of large-scale brain network modeling ? Interacting with TVB using GUI and/or CLI ? Personalization pipeline ? Modeling resting-state networks, brain disorder, stimulation, mouse brain activity, etc. *Please make sure to register early as we only offer limited seats to ensure there are enough tutors for you.* *REGISTRATION CLOSES JULY 31st, 2019* *IMPORTANT TO NOTE* **Anyone is welcome to register to TVB Node #9!** You DO NOT need to be registered for NeuroInformatics 2019 in order to register for this workshop. Registration for TVB Node #9 workshop is separated from registration to NeuroInformatics 2019. *REGISTER HERE * -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Thu Jul 25 17:47:22 2019 From: irina.illina at loria.fr (Irina Illina) Date: Thu, 25 Jul 2019 23:47:22 +0200 (CEST) Subject: Connectionists: PhDThesis position in NLP : Automatic classification using deep learning of hate speech posted on the Internet In-Reply-To: <721816452.17720098.1559769331701.JavaMail.zimbra@loria.fr> References: <346485185.17720043.1559769199628.JavaMail.zimbra@loria.fr> <721816452.17720098.1559769331701.JavaMail.zimbra@loria.fr> Message-ID: <1328068104.20045347.1564091242296.JavaMail.zimbra@loria.fr> Automatic classification using deep learning of hate speech posted on the Internet Supervisors: Irina Illina, MdC, HDR, Dominique Fohr, CR CNRS Team: Multispeech, LORIA-INRIA, France Contact: illina at loria.fr, dominique.fohr at loria.fr Duration of PhD Thesis : 3 years Deadline to apply : August 15th, 2019 Required skills: background in statistics, natural language processing and computer program skills (Perl, Python). Candidates should email a detailed CV with diploma Keywords: hate speech, social media, natural language processing. The rapid development of the Internet and social networks has brought great benefits to women and men in their daily lives. Unfortunately, the dark side of these benefits has led to an increase in hate speech and terrorism as the most common and powerful threats on a global scale. Hate speech is a type of offensive communication mechanism that expresses an ideology of hatred often using stereotypes. Hate speech can target different societal characteristics such as gender, religion, race, disability, etc. Hate speech is the subject of different national and international legal frameworks. Hate speech is a type of terrorism and often follows a terrorist incident or event. Social networks are incredibly popular today. Nowadays, Twitter, LinkedIn, Facebook and YouTube are used as a standard tool for communicating ideas, beliefs and feelings. Only a small percentage of people use part of the network for unhealthy activities such as hate speech and terrorism. But the impact of this low percentage of users is extremely damaging . For years, social media companies such as Twitter, Facebook and YouTube have invested hundreds of millions of dollars each year in the task of detecting, classifying and moderating hate. But these efforts are mainly based on manually revising the content to identify and remove offensive content, which is extremely expensive. This thesis aims at designing automatic and evolving methods for the classification of hate speech in the field of social media. Despite the studies already published on this subject, the results show that the task remains very difficult. We will use semantic content analysis methodologies from automatic language processing (NLP) and methodologies based on deep learning (DNN) which is the revolution in the field of artificial intelligence. During this thesis, we will develop a research protocol to classify hate speech in the text in terms of hateful, aggressive, insulting, ironic, neutral, etc. character . This type of problem is placed in the context of the multi-label classification . In addition, the problem of obfuscation of words in hate messages will need to be addressed . People who want to write hate speech on the Internet know that they risk being censored by rudimentary automatic systems of moderation. So, users try to obscure their words by changing the spelling or the spelling of words. Among the crucial points of this thesis are the choice of the DNN architecture and the relevant representation of the data, ie the text of the internet message. The system designed will be validated on real flows of social networks. Skills Strong background in mathematics, machine learning (DNN), statistics Following profiles are welcome, either: Strong experience with natural language processing Excellent English writing and speaking skills are required in any case. References : T Gr?ndahl, L Pajola, M Juuti, M Conti, N Asokan (2018) ? All You Need is? Love?: Evading Hate-speech Detection , arXiv preprint arXiv:1808.09115 Wiegand, M., Klakow, D. (2008). Optimizing Language Models for Polarity Classification. In Proceedings of ECIR , pp. 612-616. Wiegand, M., Ruppenhofer, J. (2015). Opinion Holder and Target Extraction based on the Induction of Verbal Categories. In Proceedings of CoNLL , pp. 215-225. Wiegand , M. , Ruppenhofer J., Schmidt A., C. Greenberg (2018) Inducing a Lexicon of Abusive Words ? A Feature-Based Approach. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Wiegand, M., Wolf, M., Ruppenhofer, J. (2017) Negation Modeling for German Polarity Classification. In Proceedings of GSCL. Zhang Z., Luo L. (2018). Hate speech detection: a solved problem? The Challenging Case of Long Tail on Twitter. arxiv.org/pdf/1803.03662 -- 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 mdhamala at mail.phy-astr.gsu.edu Thu Jul 25 16:09:06 2019 From: mdhamala at mail.phy-astr.gsu.edu (mdhamala) Date: Thu, 25 Jul 2019 16:09:06 -0400 Subject: Connectionists: Registration to BrainModes 2019 is open! Message-ID: <9cb85fd539c32bf625029c0f213c9735@mail.phy-astr.gsu.edu> ------------------------------------------------------------------------------------ Registration to BrainModes 2019 Conference is open! ------------------------------------------------------------------------------------ BrainModes 2019, December 12 ? 13: 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 with oral and poster presentations will focus on exploring "Unified Principles of Brain Connectivity and Dynamics". BrainModes 2019 Pre-Conference Course, December 11: The pre-conference course, intended to provide participants with the foundations of neuroimaging and computational neuroscience, will be offered on December 11, 2019. Confirmed Speakers: Arpan Banerjee, Michael Breakspear, Elizabeth Buffalo, Karl Friston, Karim Jerbi, Viktor Jirsa, Daniele Marinazzo, Randy McIntosh, Majid Mohajerani, Petra Ritter, Peter Robinson, Dipanjan Roy, Annabele Singer, Wolf Singer, Lucina Uddin, Dimitri Van De Ville, Virginie van Wassenhove. Location and Travel Agency: The main hotel for accommodation and conference venue is hotel Barahi in Pokhara, Nepal. Pokhara is a beautiful city, a 30-min local flight away from the capital Kathmandu. Hotel (for Kathmandu) and other travel bookings can be made by contacting Makalu Travels (BrainModes 2019?s official travel agency) at: brainmodes at makalutravels.com, or +1 (702) 331-8700, +1 (619) 924-0575. Hotel Barahi for Pokhara can be booked online: https://brainmodes.makalutravels.com/ Registration is now open. The deadline is September 30, 2019. BrainModes 2019 events (conference and course each) are limited to 100 participants. For details and registration, please visit: http://www.physics.gsu.edu/dhamala/brainmodes2019.html Organizers: Mukesh Dhamala, Georgia State University, Atlanta, USA Daniele Marinazzo, Ghent University, Ghent, Belgium Petra Ritter, Charit? University, Berlin, Germany -------------- next part -------------- A non-text attachment was scrubbed... Name: BrainModes2019Brochure.png Type: image/png Size: 568588 bytes Desc: not available URL: From h.abbass at adfa.edu.au Sat Jul 27 05:11:30 2019 From: h.abbass at adfa.edu.au (Hussein Abbass) Date: Sat, 27 Jul 2019 09:11:30 +0000 Subject: Connectionists: IEEE CIS Technical Challenge with US$20, 000 of prize money to grab Message-ID: The IEEE Computational Intelligence Society (IEEE CIS) is very pleased to announce its first Technical Challenge. The challenge is hosted by Kaggle at https://www.kaggle.com/c/ieee-fraud-detection The dataset is donated to the challenge by the world's leading payment service company, Vesta Corporation. In addition to US$20,000 of prize money to grab, the challenge attracted 300+ entries in its first 24 hour with more teams joining constantly. For the first time, the challenge permits the use of automated machine learning tool(s) (AMLT) in the creation of Submissions. However, AMLT Teams (as defined in the Rules) are not eligible to win any prizes. Bring your machine learning skills, and your best classification algorithm to give it a go and win one of the three cash prizes. IEEE CIS invites its members and any data scientist to submit entries to the first IEEE CIS Technical Challenge. Technical Challenge Timelines Competition Timeline Start Date: July 15, 2019 Merger Deadline: September 24, 2019 11:59 PM UTC Entry Deadline: September 24, 2019 11:59 PM UTC External Data Disclosure Deadline: September 24, 2019, 11:59pm UTC End Date (Final Submission Deadline): October 1, 2019 11:59 PM UTC Please visit the competition rules for more information on deadlines https://www.kaggle.com/c/ieee-fraud-detection/rules TOTAL PRIZES AVAILABLE: $20,000 First Prize: $10,000 Second Prize: $7,000 Third Prize: $3,000 Winners will be required to submit a write-up for the IEEE CIS Conference, to which they are invited and highly encouraged to attend and present their work. Visit the Technical Challenge on Kaggle for more information https://www.kaggle.com/c/ieee-fraud-detection Kind Regards, Prof. Hussein Abbass, IEEE CIS Vice-President for Technical Activities -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Sat Jul 27 03:57:29 2019 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Sat, 27 Jul 2019 09:57:29 +0200 Subject: Connectionists: EMMCVPR 2019 (Wuhan, China) -- Deadline extension (15 Aug) In-Reply-To: References: Message-ID: Call for Papers *EMMCVPR 2019* *12th International Conference on Energy Minimization Methods inComputer Vision and Pattern Recognition* 23 ? 25 October 2019 Wuhan, China http://captain.whu.edu.cn/EMMCVPR2019/ *>>> New submission deadline: 15 August 2019 <<<* Energy minimization methods have become an established computational paradigm in computer vision and pattern recognition. EMMCVPR is a regular bi-annual conference, established in 1997, dedicated to advancing the state of the art in this field. The scientific program will include the presentation of invited plenary talks and contributed research papers. Topics of interest include (but are not limited to): - Discrete and continuous optimization - Convex programming and relaxations - PDE and variational methods - Stochastic optimization - Spectral methods - Graphical models and markov random fields - Statistical methods and learning - Graph-theoretic and network-based methods - Analysis of deep architectures - Adversarial and game-theoretic models - Combinatorial optimization Application areas include (but are not limited to): - Object recognition and detection - Scene understanding - Segmentation and grouping - Restoration and inpainting - Color and texture - Computational photography - Photo and video editing - Motion and tracking - Matching and registration - Medical image analysis - Pose estimation - Action and event recognition - Shape analysis - Shape-from-X - Stereo and 3D reconstruction - Multiview geometry - Vision for graphics *Paper submission* All papers (not exceeding 14 pages) must be submitted electronically at the conference website . All submissions will be subject to a rigorous peer-review process. Accepted papers will appear in the workshop proceedings, which will be published in Springer?s Lecture Notes in Computer Science (LNCS) series after the conference (approval pending). *Important dates* - Paper submission: 15 August 2019 - Notifications: 15 September 2019 - Conference: 23 - 25 October 2019 - Camera ready due: 1 December 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hongzhi.kuai at gmail.com Mon Jul 29 04:47:45 2019 From: hongzhi.kuai at gmail.com (Hongzhi Kuai) Date: Mon, 29 Jul 2019 17:47:45 +0900 Subject: Connectionists: Call for Papers: Brain Informatics 2019 ( Full Paper Deadline: Aug 4th ) Message-ID: <5d3eb2b2.1c69fb81.95467.0216@mx.google.com> [Apologies if you receive this more than once] ** CALL FOR PAPERS ** The 12th International Conference on Brain Informatics (BI'19) December 13-15, 2019, Hainan, China http://wi-consortium.org/conferences/bi2019/ --- Brain Science meets Artificial Intelligence --- =================================================== Full papers Submission deadline: August 4th, 2019 (Extended) Workshop/special session papers Submission deadline: August 4th, 2019 (Extended) Abstracts Submission deadline: August 30th, 2019 (Extended) ================ Keynote Speakers ================ Aaron Ciechanover (Nobel Prize in Chemistry, The Technion ? Israel Institute of Technology, Israel) Lin Chen (Institute of Biophysics, Chinese Academy of Sciences, China) Hongkui Zeng (Allen Institute for Brain Science, USA) Michael Fox (Harvard Medical School and Massachusetts General Hospital, USA) Hesheng Liu (Harvard Medical School and Massachusetts General Hospital, USA) Jin Luo (Capital Normal University, China) Tianzai Jiang (Institute of Automation, Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) =================================================== The International Conference on Brain Informatics series (BI) has established itself as the world's premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The BI'19 provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on brain Informatics research, brain-inspired technologies and brain/mental health applications. The BI'19 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing * Paper Submission and Publications * Paper Submission: Full papers should be limited to a maximum of 10 pages including figures and references in Springer LNCS Proceedings format. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. Research Abstract: Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors. Special Issues & Books: Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal (https://braininformatics.springeropen.com/). IMPORTANT DATES: ================ August 4th, 2019: Submission deadline for full papers (Extended) August 4th, 2019: Submission deadline for workshop/special session papers (Extended) September 6th, 2019: Notification of full paper acceptance (Extended) September 6th, 2019: Notification of workshop/special session paper acceptance (Extended) August 30th, 2019: Submission deadline for abstracts (Extended) September 20th, 2019: Notification of abstract acceptance (Extended) December 13th, 2019: Tutorials, workshops and special sessions December 14th - 15th, 2019: Main conference ================= Conference Venue ================= Hainan University Haikou, at Hainan Island, China =========== ORGANIZERS =========== General Chair Qingming Luo (Hainan University, China) Program Chairs Peipeng Liang (Capital Normal University, China) Vinod Goel (York University, Canada) Chunlei Shan (Shanghai U. Traditional Chinese, Medicine, China) Organizing Chairs Xin Lou (Chinese PLA General Hospital, China) Nan Ma (Beijing Union University, China) Feng Xu (Tsinghua University, China) Workshop/Special-Session Chairs Yang Yang (Maebashi Institute of Technology, Japan) Mufti Mahmud (Nottingham Trent University, UK) Publicity Chairs Zhiqi Mao (Chinese PLA General Hospital, China) M Shamim Kaiser (Jahangirnagar University, Bangladesh) Steering Chairs Qionghai Dai (Tsinghua University, China) Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** Yang Yang Email: yang at maebashi-it.org New Visa-Free Policy for Hainan Individuals from 59 countries can visit the Hainan province for 30 days visa-free as long as they book their tour through travel agencies. Countries benefiting from the policy include Russia, the United Kingdom, France, Germany, Norway, Ukraine, Italy, Austria, Finland, the Netherlands, Denmark, Switzerland, Sweden, Spain, Belgium, the Czech Republic, Greece, Hungary, Iceland, Poland, Portugal, Ireland, the United States, Canada, Brazil, Mexico, Argentina, Chile, Australia, New Zealand, South Korea, Japan, Singapore, Malaysia, Thailand, Kazakhstan, the Philippines, Indonesia and the UAE, etc. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bart at ai.vub.ac.be Mon Jul 29 08:00:05 2019 From: bart at ai.vub.ac.be (Bart de Boer) Date: Mon, 29 Jul 2019 14:00:05 +0200 Subject: Connectionists: Visiting postdoc position at AI-lab Brussels Message-ID: Visiting postdoc in Cognitively Plausible Emergent Behavior In the context of seed funding for AI research in Flanders prof. Bart de Boer is looking for a short term (three-six months) visiting postdoc for the origins of language group of the AI-lab of the Vrije Universiteit Brussels. Position offered We offer a three-six months visiting postdoc position funded by a scholarship and with a bench fee. The work should consist of agent-based simulation, or of experiments to investigate emergence of behavior in a cognitively realistic setting. This means that in a computer simulation, the agents are not fully rational and that they show behavior similar to that of humans, and that interests of agents are not necessarily always aligned. Experiments should focus on factors that are typical for human settings, but that are generally idealized away, such as altruism, conflicts of interests and other "non-rational" behaviors. We are most interested in modeling emergence of speech, but we welcome applications proposing other areas, such as traffic or economic interactions. What we are looking for We are looking for an enthusiastic postdoc with a track record in artificial intelligence, cognitive science, linguistics or equivalent and who has either experience programming agent-based or cognitive models, or who has experience with the interaction between computer models and experiments. The starting date is negotiable, but preferably no later than September 2019. How to apply Send a recent CV, detailing your academic record and your programming experience as well as a letter of motivation to prof. Bart de Boer. Be sure to include a short (1-page) outline of your proposed project in the letter of motivation, as well as a short planning. At this stage we ask you not to send copies of your diplomas or letters of reference. These we will request directly if we decide to further pursue your application, If you have any questions please email prof. Bart de Boer. Links Context: https://ai.vub.ac.be/node/1687 Email Bart de Boer: bart at ai.vub.ac.be From bart at ai.vub.ac.be Mon Jul 29 07:59:14 2019 From: bart at ai.vub.ac.be (Bart de Boer) Date: Mon, 29 Jul 2019 13:59:14 +0200 Subject: Connectionists: PhD position at AI-lab Brussels Message-ID: <55845733-ac2c-ab04-0460-6ba268084cca@ai.vub.ac.be> PhD position in Agent Based Modeling of Cognitively Plausible Emergent Behavior In the context of seed funding for AI research in Flanders prof. Bart de Boer is looking for a PhD student for the origins of language group of the AI-lab of the Vrije Universiteit Brussels. PhD position offered We offer a four year PhD position funded by a scholarship with a yearly bench fee. The PhD work will consist of building an agent-based simulation in which we can investigate emergence of behavior in a cognitively realistic setting. This means that the agents are not fully rational and that they show behavior similar to that of humans, and that interests of agents are not necessarily always aligned. The modeling will primarily focus on emergence of speech, but the simulation should be general enough that it can be easily adapted to other areas, such as traffic or economic interactions. What we are looking for We are looking for an enthusiastic student with a degree in artificial intelligence, cognitive science, linguistics or equivalent and who has experience programming agent-based or cognitive models, preferably in Python or C++. Knowledge of speech and speech processing is a bonus. The starting date is negotiable, but preferably no later than September 2019. How to apply Send a recent CV, detailing your academic record and your programming experience as well as a letter of motivation to prof. Bart de Boer. At this stage we ask you not to send copies of your diplomas or letters of reference. These we will request directly if we decide to further pursue your application, If you have any questions please email prof. Bart de Boer. Links Context: https://ai.vub.ac.be/node/1687 Email Bart de Boer: bart at ai.vub.ac.be From hocine.cherifi at u-bourgogne.fr Mon Jul 29 09:54:25 2019 From: hocine.cherifi at u-bourgogne.fr (hocine cherifi) Date: Mon, 29 Jul 2019 15:54:25 +0200 Subject: Connectionists: CALL FOR PARTICIPATION MARAMI 2019, November 06-08, 2019, Dijon, France Message-ID: *Apologies for any cross posting* *MARAMI 2019* https://iutdijon.u-bourgogne.fr/marami/ *Venue * *Dijon, France November 06- 08, 2019* *Speakers * ? Jean-Daniel FEKETE INRIA, France ? Ronaldo MENEZES University of Exeter, UK ? Tsuyoshi MURATA Tokyo Institute of Technology, Japan *Registration * Early registration rate until September 27, 2019 : Register at : https://iutdijon.u-bourgogne.fr/marami/registration/ *Program * *DAY 1: NOVEMBER 06, 2019* *time* *13h00 ? 14h30* Registration *14h30 ? 14H40* Opening *Session 1: Network Analysis* *14H40 ? 15h00* 3 Fran?ois Queyroi *Comparing Static and Dynamic Graphs built from Mobility Traces* *15H00 ? 15h20 * 24 Nicolas Gensollen and Matthieu Latapy *Interplay between social and financial interactions in a crypto-currency* *15h20 ? 16h00* *Keynote 1: Ronaldo Menezes* *On the Scale, Concentration, and Dynamic of Crime* *16h00 ? 16h20* Coffee Break Session 2: Social Networks *16H20 ? 16H40* 2 Kristel Vignery *From networked students? centrality to student networks? density: What really matters for student performance?* *16H40 ? 17h00* 6 Ebrahim Patel and Beatrix Warren *Resolving false perceptions in social networks* *17h ? 17h20* 18 Annabelle Gillet, Alexander Frame, Gilles Brachotte, Eric Leclercq and Marinette Savonnet *Analysis of the 2014 and 2019 European elections using Twitter data* Social Events *DAY 2 NOVEMBER 07, 2019* *9H00 ? 9H30* Registration Session 3: Network Resilience *9h30 ? 9H50* 17 Milo Monnier, Maxime Lenormand and Dino Ienco *A network-based approach to assess urban food supply resilience: the case of Montpellier supply in tomatoes* *9H50 ? 10h10* 21 Quang Nguyen and Thi Trang Le *Structure and Robustness of Facebook's pages networks* *10H10 ? 10h50 * *Keynote 2: Tsuyoshi Murata* *Deep Learning approaches for networks* *10h50 ? 11h10* Coffee Break Session 4: Multilayer Networks *11h10 ? 11h30* 20 Maria Malek, Simone Zorzan and Mohammad Ghoniem *A Methodology for Multilayer Networks Analysis in the Context of Open and Private Data* *11H30 ? 11H50* 5 Stefan Bornhofen and Marten D?ring *Exploring Dynamic Multilayer Graphs for Digital Humanities* *11h50 ? 12h10* 8 Roberto Interdonato, Raffaele Gaetano, Danny Lo Seen and Mathieu Roche *Satellite Image Time Series to Multilayer Networks: sliding window and fuzzy clustering-based approaches* *12h10 ? 12h30* 25 Majda Lafhel, Youssef Mourchid, Hocine Cherifi, Benjamin Renoust and Mohammed El Hassouni *Ranking movies using multilayer networks* *12h30 ? 14h30* Lunch Session 5: Network Models & Measures *14h30 ? 14H50* 4 Hafsa Bousbiat, Sana Ihadedene, Karima Amrouche and Hamida Seba *Dynamic Dense Subgraph Mining: A new approach for temporal graph summarization* *14H50 ? 15h10* 19 Olivier Togni *Coloring big real life graphs: the DSAT-ratio* *15H10 ? 15h30 * 9 Louis Duvivier, R?my Cazabet and C?line Robardet *Graph space: taking both metric and probability distribution into account when evaluating statistical graph models* *15H30 ? 15H50* 10 Max Glonek, Jonathan Tuke, Lewis Mitchell and Nigel Bean *Simulating Twitter Hashtag Networks* *15h50 ? 16h10* Coffee Break Session 6: Mobility *16h10 ? 16h30* 16 Djibril Mboup, Cherif Diallo, Hocine Cherifi and Moussa Lo *Topological analysis of temporal contact networks based on human mobility models* *16H30 ? 16H50* 22 Muhammad Arslan, Christophe Cruz and Dominique Ginhac *Movement Behavior Analysis of Workers using Spatio-temporal Trajectories for Safety Management* *16H50 ? 18h20* Pannel Discussion Dinner Banquet *DAY 3 NOVEMBER 08, 2019* *9H00 ? 9H30* Registration Session 7: Network Motifs *9h30 ? 9H50* 13 Henry Soldano, Guillaume Santini and Dominique Bouthinon *Pattern and bi-pattern set selection on attributed networks* *9H50 ? 10h10* 14 Roberto Interdonato, Jeremy Bourgoin, Sabrina Gaito, Matteo Zignani and Markus Giger *Characterizing Large Scale Land Acquisitions Through Network Motifs* *10H10 ? 10h50 * *Keynote 3: Jean-Daniel Fekete* *Advances on Network Visualization* *10h50 ? 11h10* Coffee Break Session 8: Communities *11h10 ? 11h30* 11 Oussama Ennouri, Nicolas Cheifetz, Pierre Mandel, C?dric F?liers and V?ronique Heim *Graph Clustering for Quality Event Detectors in a Large Water Distribution Network* *11H30 ? 11H50* 12 Marwa Ben M'Barek, Sana Ben Hmida, Marta Rukoz and Amel Borgi *Generic Evolutionary Algorithm to detect semantic and topological biological communities* *11h50 ? 12h10* 23 Zakariya Ghalmane, Mohammed El Hassouni, Chantal Cherifi and Hocine Cherifi *Searching for the hubs? Look at the overlapping nodes!* *12h10 ? 12h30* 15 Sergey Kirgizov and ?ric Leclercq *Temporal density of community structure* *12h30 ? 12h45* Closing *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 sabu.thampi at iiitmk.ac.in Mon Jul 29 11:58:25 2019 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Mon, 29 Jul 2019 21:28:25 +0530 Subject: Connectionists: Call for papers - Symposium on Machine Learning and Metaheuristics Algorithms, and Applications (SoMMA'19) Message-ID: Apologies for cross-postings! ** Please forward to anyone who might be interested ** ------------------------------------------------------------------------------------------------------------- Symposium on Machine Learning and Metaheuristics Algorithms, and Applications (SoMMA'19) December 18-21, 2019, Trivandrum, Kerala, India http://www.acn-conference.org/somma2019/ Papers Due: August 20, 2019 EDAS Submission Link: http://edas.info/N26363 Proceedings by Springer in Communications in Computer and Information Science Series(CCIS) --------------------------------------------------------------------------------------------------------------- CALL FOR PAPERS SoMMA'19 aims to provide a forum for scientists and researchers to present their latest results and a means to discuss the recent developments in machine learning, metaheuristics, and their applications. The technical program of the symposium will include tutorials, regular technical sessions, workshops, and plenary/keynote speeches. The symposium will be held in Trivandrum, Kerala, India during December 18-21, 2019. Kerala renowned as the ?Gods own Country?, situated in the southwestern tip of India, bestowed with unique geographical features that have made it one of the most attractive tourist destinations in India. All accepted papers will be published by Springer in Communications in Computer and Information Science Series(CCIS). The proceedings will be available via the SpringerLink digital library. CCIS is abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, and Scopus. CCIS volumes are also submitted for inclusion in ISI Proceedings. The organizers solicit previously unpublished papers offering novel research contributions in any aspect of machine learning, metaheuristics, and their applications. Topics of interest include, but are not limited to, the following: METAHEURISTICS ALGORITHMS ----------------------------- -- Animal Migration Optimization -- Ant Colony Optimization -- Ant Lion Optimization Algorithm -- Artificial Algae Algorithm -- Artificial Bee Colony Algorithm -- Artificial Chemical Process Algorithm -- Artificial Ecosystem Algorithm -- Artificial Fish Swarm Optimization -- Artificial Immune Systems -- Bacterial Evolutionary Algorithm -- Bat Algorithm -- Bird Mating Optimizer -- Bull Optimisation Algorithm -- Bumble Bees Mating Optimization -- Cellular Automata -- Central Force Optimization -- Chaos Optimization Algorithm -- Chemical Reaction Algorithm -- Chicken Swarm Optimization -- Collective Animal Behavior -- Construct, Merge, Solve & Adapt -- Coral Reefs Optimization -- Cuckoo Search -- Cultural Algorithms -- Cuttlefish Algorithm -- Differential Evolution -- Dragonfly Algorithm -- Earthworm Optimization -- Elephant Herd Algorithm -- Emperor Penguins Colony -- Evolutionary Computation and Metaheuristics -- Firefly Algorithm -- Forest Optimization Algorithm -- Fuzzy-metaheuristic Methods -- Genetic Programming -- Grasshopper Optimization Algorithm -- Gravitational Search Algorithm -- Greedy Randomized Adaptive Search -- Grey Wolf Optimizer -- Group Search Optimizer -- Guided Local Search & Fast Local Search -- Harmony Search -- Honey-Bees Mating Optimization -- Hunting Search Algorithm -- Krill Herd Algorithm -- Intelligent Water Drops Algorithm -- Iterated Local Search -- Locust Search Algorithm -- Memetic Algorithms -- Meta-Heuristic Algorithms for Deep Learning -- Mine Blast Algorithm -- Monarch Butterfly Optimization -- Moth-Flame Optimization Algorithm -- Multi-objective Optimisation -- Multiple Operator Metaheuristics -- Neighborhood Search Metaheuristics -- Parliamentary Optimization Algorithm -- Particle Swarm Optimization -- Photosynthetic and Enzyme Algorithm -- Physarum Polycephalum Algorithm -- Population-Based Metaheuristics -- Rainfall Optimization Algorithm -- River Formation Dynamics -- Roach Infestation Optimization -- Salp Swarm Algorithm -- Scatter Search -- Seed-Based Plant Propagation Algorithm -- Sheep Flocks Heredity Model Algorithm -- Shuffled Frog Leaping Algorithm -- Simulated Annealing -- Social Cognitive Optimization -- Social Spider Optimization -- Sperm Swarm Optimization Algorithm -- Spiral Optimization Algorithm -- Stellar-Mass Black Hole Optimization -- Stochastic Search -- Strawberry Algorithm -- Tabu Search -- Teaching-Learning-Based Optimization -- Team Game Algorithm -- The States of Matter Search -- Tree Physiology Optimization -- Variable Neighbourhood Search -- Water Wave Optimization -- Whale Optimization Algorithm -- Wind-Driven Optimization MACHINE LEARNING TECHNIQUES ------------------------------- -- Adversarial Learning -- Analogical Learning Methods -- Bayesian Models and Methods -- Bayesian Networks -- Biologically Inspired Machine Learning -- Case-Based Reasoning and Associative Memory -- Classification and Clustering -- Cognitive Modeling -- Collaborative Filtering -- Computational Learning Theory -- Conceptional Learning and Clustering -- Connectionist Networks -- Convolutional Neural Networks -- Cooperative Machine Learning -- Deep Learning -- Distributed Machine Learning -- Embedded Machine Learning -- Ensemble Methods -- Evolutionary Computation and Deep Neural Networks -- Explanation-Based Learning -- Feature Learning -- Formal Modeling for Machine Learning Techniques -- Fuzzy Logic and Machine Learning -- Genetic Algorithms and Machine Learning -- Graphical Models -- Hybrid Learning Algorithms -- Indefinite Proximity Learning -- Inductive Learning -- Kernel Machines K-Nearest Neighbor Classifier -- Knowledge Representation in Machine Learning -- Large-Scale Machine Learning -- Learning Decision and Regression Trees -- Learning through Fuzzy Logic -- Loopy Belief Propagation -- Multi-Agent Learning -- Multi-Strategy Learning -- Neural Network Learning -- Online and Incremental Learning -- Organisational Learning and Evolutional Learning -- Recurrent Network Architectures -- Reinforcement Learning -- Relevance Vector Machine -- Rough Sets Theory and Machine Learning -- Scalability of Learning Algorithms -- Secure Machine Learning Algorithms -- Statistical and Evolutionary Learning -- Stochastic Gradient Descent -- Support Vector Machine -- Time Series and Sequential Pattern Mining -- Transfer Learning -- Self-Organizing Maps and Vector Quantization APPLICATIONS OF MACHINE LEARNING AND META-HEURISTIC ALGORITHMS ----------------------------------------------------------------- -- Affective Computing -- Autonomic Control Systems -- Automatic Driving -- Behavioural Analytics/Graph Analytics -- Biometric Applications -- Blockchain and Deep Learning -- Brain-Computer Interfaces -- Cognitive Imaging and Processing -- Cognitive Radio Networks -- Computer Vision & Image Processing -- Context-Awareness and Intelligent Environment Applications -- Cyber-Physical Systems -- Cyber Defense -- Data Analysis and Intelligent Optimization -- Digital Forensics -- Digital Twin/AI Modeling -- Emotion Recognition -- Experience Economy/Financial Engineering and Time Series Forecasting -- Game Playing and Problem Solving -- Hyper Personalisation -- Intelligent Cloud and Intelligent Edge -- Intelligent Human-Computer Interaction -- Intrusion Detection Systems -- Intelligent Transport Systems and Smart Mobility -- Intelligent Virtual Environments -- Internet of Things and Sensor Networks -- Multi-sensor Intelligent Information Fusion -- Neuroscience and Behavior Analysis in Robotics -- Neuromorphic Computing -- Online Social Networks -- Pattern Recognition -- Peer-to-Peer Networks -- Recommender Systems -- Smart Grid -- Smart Surveillance Systems -- Smart Healthcare and Disease Analytics -- Smart Living and Smart Cities -- Speech and Natural Language Processing -- Trust Management All papers that conform to submission guidelines will be peer-reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. Acceptance of papers will be communicated to authors by email. Independently of the presentation type, all papers are included in the proceedings. Important Dates ------------------ Papers Due: August 20, 2019 Acceptance Notification: September 20, 2019 Final Paper Deadline: October 18, 2019 Contact Us ----------- E-mail: somma.symposium at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Mon Jul 29 08:04:29 2019 From: Francesco.Rea at iit.it (Francesco Rea) Date: Mon, 29 Jul 2019 12:04:29 +0000 Subject: Connectionists: [jobs] Post-doctoral position at Istituto Italiano di Tecnologia (IIT) on Role of Social Signals in HRI Message-ID: Robotics, Brain and Cognitive Sciences Research Line at Istituto Italiano di Tecnologia in Erzelli, Genoa, is seeking to appoint one postdoctoral position focusing on the use of the iCub humanoid robot to investigate the role of body-mediated (embodied) social signals in human-robot collaborative interaction and to identify the minimum subset of signals enabling mutual understanding in human-robot communication in realistic, application oriented, scenarios. The research activities will be carry out under the supervision of Dr. Francesco Rea and Prof. Giulio Sandini. The activity will be carried out within a Joint Lab recently established between IIT and a major producer in the automotive sector, dedicated scientific and technical activities, including training, in the field of signs-based social communication mediated by robots. The research for this Postdoctoral position will involve: a) the development of methods and relative software to generate robot behaviors for natural mutual understanding, b) the design and implementation of novel models of immediate perception of the human partner state, and c) the design of experiments, testing and analysis/validation in human-robot interaction experiments. The first goal of the research is modelling how the robot could adapt its perception and behaviour to the individual needs of the partner during an interaction, with potential implications for communicative technology. The second goal of the research is to exploit how these models can be transferred to novel robotic designs. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Mon Jul 29 08:10:14 2019 From: Francesco.Rea at iit.it (Francesco Rea) Date: Mon, 29 Jul 2019 12:10:14 +0000 Subject: Connectionists: [jobs] Post-doctoral position at Istituto Italiano di Tecnologia (IIT) on Role of Social Signals in HRI Message-ID: Robotics, Brain and Cognitive Sciences Research Line at Istituto Italiano di Tecnologia in Erzelli, Genoa, is seeking to appoint one postdoctoral position focusing on the use of the iCub humanoid robot to investigate the role of body-mediated (embodied) social signals in human-robot collaborative interaction and to identify the minimum subset of signals enabling mutual understanding in human-robot communication in realistic, application oriented, scenarios. The research activities will be carry out under the supervision of Dr. Francesco Rea and Prof. Giulio Sandini (https://www.iit.it/careers/openings/opening/969-postdoctoral-position-in-the-role-of-social-signals-in-human-robot-communication) The activity will be carried out within a Joint Lab recently established between IIT and a major producer in the automotive sector, dedicated scientific and technical activities, including training, in the field of signs-based social communication mediated by robots. The research for this Postdoctoral position will involve: a) the development of methods and relative software to generate robot behaviors for natural mutual understanding, b) the design and implementation of novel models of immediate perception of the human partner state, and c) the design of experiments, testing and analysis/validation in human-robot interaction experiments. The first goal of the research is modelling how the robot could adapt its perception and behaviour to the individual needs of the partner during an interaction, with potential implications for communicative technology. The second goal of the research is to exploit how these models can be transferred to novel robotic designs. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pmkrafft at uw.edu Mon Jul 29 14:54:36 2019 From: pmkrafft at uw.edu (Pete Krafft) Date: Mon, 29 Jul 2019 18:54:36 +0000 Subject: Connectionists: Take a 2-minute break to define A.I.! Message-ID: Dear Connectionists, A couple months ago I sent out a longer survey, but here is a short version that should only take 2-3 minutes if you have any interest! I am machine learning researcher seeking participants for a survey about defining A.I. My hope is that this survey might inform some ongoing A.I. policy discussions. Here's a link: https://ischooluw.co1.qualtrics.com/jfe/form/SV_3DGjj6Ghl5wfK1T?Q_CHL=connectionists Thanks for your help! All the best, PK -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Mon Jul 29 15:15:45 2019 From: ted.carnevale at yale.edu (Carnevale, Nicholas) Date: Mon, 29 Jul 2019 19:15:45 +0000 Subject: Connectionists: NEURON course at SFN 2019 meeting Message-ID: <6e7cbe87-2ff5-6a0f-b927-5a952a2e9522@yale.edu> Space is still available for the NEURON course that will be held at a location on the campus of the Feinberg School of Medicine in downtown Chicago, as a satellite session to the 2019 meeting of the Society for Neuroscience. This course is for you if you're * a lab director trying to decide whether to add computational modeling to your research program * a grad student or postdoc who is just getting started in modeling * an established NEURON user who wants to find out about NEURON's latest features It starts with a practical introduction that reviews basic concepts, presents a workflow for building and using mechanistic models of cells and networks, and moves on to topics that include: * how to speed up simulations * how to use Python with NEURON (while still taking advantage of NEURON's GUI!) * how to model reaction-diffusion with the RxD class For more information and the registration form, see https://neuron.yale.edu/neuron/static/courses/chi2019/chi2019.html --Ted From dwang at cse.ohio-state.edu Mon Jul 29 17:03:41 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Mon, 29 Jul 2019 17:03:41 -0400 Subject: Connectionists: NEURAL NETWORKS, Aug. 2019 Message-ID: <055beeab-a29f-4d1d-3471-15ca8478615f@cse.ohio-state.edu> Neural Networks - Volume 116, August 2019 http://www.journals.elsevier.com/neural-networks Semi-supervised deep learning of brain tissue segmentation Ryo Ito, Ken Nakae, Junichi Hata, Hideyuki Okano, Shin Ishii Addiction beyond pharmacological effects: The role of environment complexity and bounded rationality Dimitri Ognibene, Vincenzo G. Fiore, Xiaosi Gu Phase relations of theta oscillations in a computer model of the hippocampal CA1 field: Key role of Schaffer collaterals Ivan E. Mysin, Valentina F. Kitchigina, Yakov B. Kazanovich Differential convolutional neural network M. Sar?gul, B.M. Ozyildirim, M. Avci An optimal time interval of input spikes involved in synaptic adjustment of spike sequence learning Yan Xu, Jing Yang, Xiaoqin Zeng Deep neural-kernel blocks Siamak Mehrkanoon Continuous learning in single-incremental-task scenarios Davide Maltoni, Vincenzo Lomonaco DynMat, a network that can learn after learning Jung Hoon Lee Flexible non-greedy discriminant subspace feature extraction Henghao Zhao, Liyong Fu, Zhigang Gao, Qiaolin Ye, ... Xubing Yang BoSR: A CNN-based aurora image retrieval method Xi Yang, Nannan Wang, Bin Song, Xinbo Gao Evolving neural networks to follow trajectories of arbitrary complexity Benjamin Inden, Juergen Jost Multivariate LSTM-FCNs for time series classification Fazle Karim, Somshubra Majumdar, Houshang Darabi, Samuel Harford Bayesian rank penalization Kewei Tang, Zhixun Su, Jie Zhang, Lihong Cui, ... Xiyan Sun Stability of stochastic impulsive reaction?diffusion neural networks with S-type distributed delays and its application to image encryption Tengda Wei, Ping Lin, Yangfan Wang, Linshan Wang Fixed-time synchronization of coupled memristor-based neural networks with time-varying delays Chao Yang, Lihong Huang, Zuowei Cai The place cell activity is information-efficient constrained by energy Yihong Wang, Xuying Xu, Rubin Wang Fixed-time pinning-controlled synchronization for coupled delayed neural networks with discontinuous activations Hui Lu, Wangli He, Qing-Long Han, Chen Peng Some generalized global stability criteria for delayed Cohen?Grossberg neural networks of neutral-type Ruya Samli, Sibel Senan, Eylem Yucel, Zeynep Orman Subrecursive neural networks Jiri Sima The capacity of feedforward neural networks Pierre Baldi, Roman Vershynin On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network Yongfang Xie, Jinjing Yu, Shiwen Xie, Tingwen Huang, Weihua Gui Identification of piecewise linear dynamical systems using physically-interpretable neural-fuzzy networks: Methods and applications to origami structures Zuolin Liu, Hongbin Fang, Jian Xu Photomontage detection using steganography technique based on a neural network Robert Jarusek, Eva Volna, Martin Kotyrba A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems David Laredo, Zhaoyin Chen, Oliver Sch?tze, Jian-Qiao Sun An unsupervised EEG decoding system for human emotion recognition Zhen Liang, Shigeyuki Oba, Shin Ishii From artificialsimon at gmail.com Tue Jul 30 07:50:49 2019 From: artificialsimon at gmail.com (Simon Smith) Date: Tue, 30 Jul 2019 12:50:49 +0100 Subject: Connectionists: Fwd: Registration open for the Robust Artificial Intelligence for Neurorobotics (RAI-NR) workshop In-Reply-To: References: Message-ID: We invite interested participants to register for the workshop on Robust Artificial Intelligence for Neurorobotics, to be held at the Bayes Centre at The University of Edinburgh, UK, between 26th-28th of August 2019. Aim and scope =========== This meeting aims at bringing together researchers from neural computation, machine learning and robotics, to explore key issues that must be addressed along the path to more flexible and capable robots. These issues include reliability, safety and resource efficiency. We will debate and discuss the question of how emerging neural network and other neuromorphic technologies could address these requirements in realistic applications. Robotics brings stringent constraints on size, weight and power, which challenges the developers of these technologies in new ways. Equally, the fact that learning and adaptation might happen on a real physical platform implies a significantly greater emphasis on ensuring safety and rendering automated decisions verifiable and explainable. Talks will address the following themes, and allied topics: - Robotics and Robot Learning: How are neural network based methods and neuromorphic design principles driving advances in robotics? - Systems for AI: How are new advances in neurally inspired computing and electronic sensing hardware enabling these advances? - Safety, verification and explainability: How are we developing the new techniques required to ensure the safety of learning, perception and control in real world settings? - Neuroscience of perception and action: How do perspectives on how animals/humans solve problems help guide advances in robotics? Invited speakers ============= Prof. Dr. Wolfgang Maass, Institut fuer Grundlagen der Informationsverarbeitung, Technische Universitaet Graz, Austria Prof. Chris Eliasmith, Centre for Theoretical Neuroscience, University of Waterloo, Canada Dr.ir. Johan Kwisthout, Donders Centre for Cognition, Nijmegen, The Netherlands, Dr. Rosalyn J. Moran, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK Prof. Steve Furber, School of Computer Science, The University of Manchester, UK Prof. Giacomo Indiveri, Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland Dr. Ashish Kapoor, Microsoft Research, Redmond, USA Prof. Martin Vechev, Department of Computer Science, ETHZ Zurich, Switzerland Dr. Yulia Sandamirskaya, Institute of Neuroinformatics, UZH / ETH Zurich, Switzerland Dr. Janos Rohaly, GelSight, Inc., USA Key Dates and Website ============= https://blogs.ed.ac.uk/rai-nr/ Workshop registration: open until 12th of August 2019 Workshop: 26th-28th of August 2019 Program Committee Chairs ========================= Dr. Joseph Hays ? Naval Research Laboratory, USA Dr. Subramanian Ramamoorthy ? The University of Edinburgh, UK Dr. Christian Tetzlaff - Bernstein Center for Computational Neuroscience, Germany Sponsors ======= This workshop is funded by a grant from the US Office of Naval Research through their Global office in London (ONR-G), and also supported by an Alan Turing Institute Fellowship and Sponsored Project on Safety-critical Artificial Intelligence. Best regards, Sim?n C. Smith Institute of Perception, Action and Behaviour The University of Edinburgh -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Wed Jul 31 10:32:39 2019 From: suashdeb at gmail.com (Suash Deb) Date: Wed, 31 Jul 2019 20:02:39 +0530 Subject: Connectionists: Conference in memory of life & work of Prof. Lotfi Zadeh ((Technically sponsored by IEEE SMCs) Message-ID: Dear esteemed Colleagues,, Warm greetings. Thanks to all of you for your interest for lSCMl19, the flagship event of llCCl http://www.iicci.in/ & also the one held annually in memory of life & work of Prof. Lotfi Zadeh http://www.iscmi.us/ This is to inform you that in order to accommodate the request of some of the peers, the deadline for submission of manuscripts for ISCMI19 has been granted extension *for a last & f**inal t**ime*, *t**ill August 30*, *2019 * l would appreciate your sharing the same with your peers & especially with those who due to other commitments, could not complete & submit papers till now. Thanks once more. With kind rgds, Suash Secretary General, llCCl & General Chair, lSCMl19 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sepand.haghighi at yahoo.com Wed Jul 31 05:51:33 2019 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Wed, 31 Jul 2019 09:51:33 +0000 (UTC) Subject: Connectionists: PyCM 2.4 released: Machine learning library for confusion matrix statistical analysis References: <2077951211.196037.1564566693034.ref@mail.yahoo.com> Message-ID: <2077951211.196037.1564566693034@mail.yahoo.com> https://github.com/sepandhaghighi/pycm http://www.pycm.ir Changelog : - Tversky index (TI) added?#214 - Area under the PR curve (AUPR) added?#216 - FUNDING.yml added - AUC_calc function modified - Document modified?#225 - summary parameter added to save_html,save_stat,save_csv and stat methods?#217 - sample_weight bug in numpy array format fixed?#227 - Inputs manipulation bug fixed?#226 - Test system modified?#229 - Warning system modified?#228 - alt_link parameter added to save_html method and online_help function?#232 - Compare class tests moved to compare_test.py - Warning tests moved to warning_test.py Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Wed Jul 31 09:23:28 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Wed, 31 Jul 2019 16:23:28 +0300 Subject: Connectionists: 14th International Conference on Research Challenges in Information Science (RCIS 2020): First Call for Papers Message-ID: <44330110-137F-4B56-B4BE-CDD88B280A8F@cs.ucy.ac.cy> *** First 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) 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. 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 jeremiah.deng at otago.ac.nz Wed Jul 31 06:05:25 2019 From: jeremiah.deng at otago.ac.nz (Jeremiah Deng) Date: Wed, 31 Jul 2019 10:05:25 +0000 Subject: Connectionists: Call for Papers - IVCNZ'19, Dunedin, New Zealand, December 2-4, 2019 In-Reply-To: References: Message-ID: <1564567525667.17032@otago.ac.nz> The 34th International Conference on Image and Vision Computing, New Zealand IVCNZ 2019 2-4 December Dunedin, New Zealand Call for Papers IVCNZ is New Zealand?s premier academic conference on visual computing. This includes all aspects of computer vision, image processing, computer graphics, virtual and augmented reality, visualisation, and HCI applications related to these fields. For more information visit ivcnz2019.otago.ac.nz. Submissions of original research are invited to IVCNZ on any aspects of visual computing. All submissions are peer-reviewed on the basis of full papers (5-6 pages, IEEE format). The conference proceedings will be submitted to IEEEXplore, where previous years? proceedings can be found. Key Dates: Submission deadline: 26 August 2019 Acceptance notification: 23 September 2019 Camera-ready papers: 30 September 2019 Conference dates: 2-4 December 2019 Conference Scope Topics relevant to IVCNZ include, but are not limited to: Augmented and virtual reality Automated visual surveillance Biomedical imaging and visualisation Biometrics Deep learning Feature detection and extraction Human-computer interaction Image-based rendering Image analysis and understanding Motion tracking and analysis Multimedia information retrieval Object recognition Pattern recognition and classification Scientific visualisation Stereo image analysis Shape recovery from images Visual reconstruction techniques Dunedin, New Zealand IVCNZ 2019 will beheld in Dunedin, a vibrant city with a strong education and research community based around the University of Otago, which is New Zealand?s oldest university. Dunedin has a range of attractions including iconic Victorian and Edwardian architecture and fine botanic gardens, museum, and art gallery, and is a designated UNESCO City of Literature. The nearby Otago Peninsula offers rare opportunities to see southern wildlife, including the only mainland Royal Albatross colony in the world, seals, and Yellow-Eyed Penguins. Dunedin is also the gateway to many other attractions in the lower SouthIsland. Contact: Assoc. Professor Jeremiah Deng, University of Otago, IVCNZ'19 Program Chair jeremiah.deng at otago.ac.nz From ylei1 at terpmail.umd.edu Wed Jul 31 19:50:48 2019 From: ylei1 at terpmail.umd.edu (Yuqing Lei) Date: Wed, 31 Jul 2019 19:50:48 -0400 Subject: Connectionists: Postdoc Position at Computational Cognitive Neuroscience & Psychiatry Lab Message-ID: Postdoctoral Fellow Department of Psychology University of Maryland, College Park The Computational Cognitive Neuroscience & Psychiatry Lab ( http://solwaylab.org/) is hiring a postdoctoral fellow with experience and interest in computational modeling of behavior and neuroimaging to start in Fall 2019/Spring 2020. Successful candidates will have at minimum: - Received a Ph.D. prior to the start date, completing their defense and all other degree requirements. - Strong leadership, management, and communication skills (both written and oral). - Established expertise in computational modeling of behavior and experimental design. - Experience with at least one neuroimaging modality (EEG, fMRI, invasive recordings in patients). - A strong publication record in cognitive/computational neuroscience and/or psychology. - Experience or an interest in using computational approaches to ask questions related to information processing differences in psychiatric disorders. The department where you receive your Ph.D. does not matter so long as you have worked on projects and published papers related to the type of work we do. This position requires you to take a leadership role from day one, helping to manage junior trainees and set the direction of the lab. The University of Maryland, College Park is located five miles from Washington, D.C. and is metro accessible, with access to world class museums, restaurants, and entertainment. We are close to three large international airports, have access to other destinations on the eastern seaboard and beyond via Amtrak, and are a short drive away from beautiful landscapes and mountains in rural Maryland and Virginia. To apply, e-mail your CV, a cover letter, any pre-prints (to be handled in confidence), and a list of references to Dr. Alec Solway (asolway at umd.edu). Be sure these documents address how your experience and skill set meet the above requirements. Also, briefly describe your long term goals and how you think a postdoctoral fellowship in the lab will help you achieve them. *The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. UMD is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, sex, pregnancy, gender identity or expression, sexual orientation, marital status, age, national origin, political affiliation, physical or mental disability, religion, protected veteran status, genetic information, personal appearance, or any other legally protected status in all aspects of employment. UMD is actively engaged in recruiting, hiring, and promoting underrepresented communities; minorities, women, individuals with disabilities, and veterans are encouraged to apply.* -------------- next part -------------- An HTML attachment was scrubbed... URL: