From h.abbass at adfa.edu.au Tue Jan 1 21:57:47 2019 From: h.abbass at adfa.edu.au (Hussein Abbass) Date: Wed, 2 Jan 2019 02:57:47 +0000 Subject: Connectionists: Post-doctoral position - Context-Aware Swarm Intelligence/Robotics Message-ID: A post-doctoral position suitable for a PhD graduate with interest in swarm intelligence/robotics, neural networks, learning classifier systems, fuzzy reasoning, formal grammar, and designing hybrid symbolic and non-symbolic AI algorithms. Location: University of New South Wales (UNSW), the Canberra Campus, Australia. School: School of Engineering and Information Technology Employment Type: Full time Salary Range: Level A - $94,514 (+9.5% super and leave loading) Duration of Employment: 3 years (renewed annually based on performance) Inquiry: Prof. Hussein Abbass by emailing both my email addresses h.abbass at adfa.edu.au and hussein.abbass at gmail. com. Applications close: 11:30 pm (AEST), 8/2/2019. About the role: Join my group to work on an exciting project in the area of Swarm Intelligence and Swarm Robotics. We are looking for a self-motivated Computational Intelligence PhD graduate (Learning Classifier Systems, Fuzzy Reasoning, Neural Networks) interested in developing Hybrid symbolic and non-symbolic Learning and Reasoning algorithms for Distributed Context-Aware Swarm Intelligence. Our aim is to transform swarm intelligence into truly distributed systems featuring transparency and ability to manage uncertainties. Location: You will join the University of New South Wales (UNSW) in the Canberra Campus, Australia. UNSW is one of Australia's leading research and teaching universities, consistently ranked in the top 100 worldwide. Our world-class research focuses on areas critical to the future - from climate change and renewable energies to life-saving medical treatments and breakthrough technologies. Whether you're an academic or professional employee, you will have the satisfaction of knowing that the work you do each day makes a difference. How to apply: visit https://husseinabbass.net/position12019.html for information Applications close: 11:30 pm (AEST), 8/2/2019. -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.clopath at imperial.ac.uk Wed Jan 2 07:21:15 2019 From: c.clopath at imperial.ac.uk (Clopath, Claudia) Date: Wed, 2 Jan 2019 12:21:15 +0000 Subject: Connectionists: Faculty positions in Computational Neuroscience at Imperial College London. Deadline 13 Jan Message-ID: <95144227-5540-4D5C-9B29-D285CB2F01D5@ic.ac.uk> Imperial College London is hiring at the level of Assistant Professor and Associate Professor (in the UK called Lecturers/Senior Lecturers) at the interface between Engineering and Biology broadly speaking, i.e. including Computational Neuroscience. Deadline 13th of January. Original advert: http://www.imperial.ac.uk/jobs/description/ENG00620/lecturerssenior-lecturers-open-call -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Verhoef at donders.ru.nl Wed Jan 2 02:37:16 2019 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Wed, 2 Jan 2019 07:37:16 +0000 Subject: Connectionists: Postdoctoral Position for Dutch Research Consortium 'Language in Interaction' In-Reply-To: <92b5c7b6b5594ed8a658687d1da8a272@EXPRD05.hosting.ru.nl> References: <5d1e863b01d7453e8f53ca640ca2b9f9@Umcexchp06.umcn.nl>, <92b5c7b6b5594ed8a658687d1da8a272@EXPRD05.hosting.ru.nl> Message-ID: <1546414651619.43955@donders.ru.nl> A new Postdoctoral Position is available within the Language in Interaction consortium! The Language in Interaction research consortium invites applications for a postdoctoral position. This position provides the opportunity for conducting world-class research as a member of an interdisciplinary team. The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community. For more information and how to apply, please visit: https://www.radboudumc.nl/en/vacancies/63921-postdoctoral-position-for-dutch-research-consortium-language-in-interaction Kind regards, Julia Verhoef Secretary Language in Interaction consortium From boubchir at ai.univ-paris8.fr Wed Jan 2 07:32:41 2019 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Wed, 2 Jan 2019 13:32:41 +0100 Subject: Connectionists: [Deadline Approaching] Special Issue on EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction In-Reply-To: <8fbb59e5-a44d-7641-13a1-b74853c2c111@ai.univ-paris8.fr> References: <8fbb59e5-a44d-7641-13a1-b74853c2c111@ai.univ-paris8.fr> Message-ID: <54b360f3-0ed6-2a0c-bba1-9da6d8da2c4d@ai.univ-paris8.fr> *********************************************************************** Apologize if you receive multiple copies of this message. Please disseminate this CFP to your colleagues and contacts. *The deadline to submit your proposals is fast approaching* *********************************************************************** *Special Issue on Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction* *Journal of Biomedical Research * _Submission deadline: __January 15th, 2019_** Epilepsy is the most common neurological disorder of the brain that affects people worldwide at any age from newborn to adult. It is characterized by recurrent seizures, which are brief episodes of signs or symptoms due to abnormal excessive or synchronous neuronal activity in the brain. The electroencephalogram, or EEG, is a physiological method to measure and record the electrical activities generated by the brain from electrodes placed on the surface of the scalp. EEG has become the most used signal for detecting and predicting epileptic seizures. Machine learning for EEG signal processing constitute an important area of artificial intelligence dealing with the setting up of automated computer-aided systems allowing to help the medical staff, e.g. neurophysiologists, for detecting and predicting epileptic seizure activities from EEG signals. It offers solutions to difficult biomedical engineering problems related to detecting and predicting EEG Epileptic seizures. In the light of the rapid development of machine learning tools for signal processing, this special issue aims to solicit original research papers as well as review articles focusing on recent advances in EEG signal processing and machine learning for Epileptic seizure detection and prediction. Topics of interest should be related to Epileptic seizure detection and/or prediction, and include (but are not limited to) the following: - EEG signal processing - Time-frequency EEG signal analysis - Non-stationary EEG signal analysis - EEG feature extraction and selection - Machine learning for EEG signals - EEG classification and clustering - Deep learning for EEG - EEG Big Data - EEG-based BCI (Brain-Computer Interface) - Internet of things for prediction - EEG-based computer-aideddiagnosis systems - Related applications *Important Dates:* Submission deadline: *January 15th, 2019* Completion of first-round reviews: February 15th, 2019 Submission deadline for revised papers: March 15th, 2019 Final acceptance/rejection notification: March30th, 2019 Publication: May 2019* * *Submission Guidelines:* - All submissions have to be prepared according to the Guide for Authors as published in the Journal Web Site: http://www.jbr-pub.org.cn - Submissions should be sent through: https://mc03.manuscriptcentral.com/jbrint - Authors should select the acronym "Special Issue: *AESPMLESDP*" as the article type, from the manuscript type menu during the submission process. *Guest Editor:* Dr. Larbi Boubchir, Associate Professor, LIASD research Lab. - University of Paris 8, France Email: larbi.boubchir at ai.univ-paris8.fr -- _____________________________________________________ Larbi Boubchir, PhD, SMIEEE Associate Professor LIASD - University of Paris 8 2 rue de la Libert?, 93526 Saint-Denis, France Tel. (+33) 1 49 40 67 95 Email. larbi.boubchir at ai.univ-paris8.fr http://www.ai.univ-paris8.fr/~boubchir/ _____________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Wed Jan 2 10:45:05 2019 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Wed, 2 Jan 2019 16:45:05 +0100 Subject: Connectionists: CfP: 1st International Workshop on Key Enabling Technologies for Digital Factories (KET4DF) at CAiSE 2019 Message-ID: [ apologies for potential cross-postings ] ============================================= ???????? Call For Papers ?? 1st International Workshop on ?Key Enabling Technologies for Digital Factories ???? in conjuction with CAiSE 2019 ?????? 4th June 2019, Rome, Italy https://sites.google.com/view/ket4df2019 ============================================= Scope --------------------- This workshop seeks at providing the opportunity for inspiration and cross-fertilization for the research groups working on technological solutions for digital factories and smart manufacturing. We welcome innovative papers from academic and industrial researchers covering a wide range of topics of interests in the computer science and computer engineering fields. Topics of interest --------------------- The topics include but are not limited to: * Digital Platform Interoperability for Digital Factories * Internet-of-things for Smart Manufacturing * Digital Factories and End-to-end supply chains * Peer Manufacturing * Model-based development in Digital Factories * M2M interaction * Information Systems for Sustainable Value Networks * Information Systems Engineering for Additive Manufacturing * Manufacturing Enterprise Architecture Engineering * Big Data Technologies and Analytics for Smart Manufacturing * Cloud, Fog, Edge Computing and other programming techniques in Manufacturing Systems * Data Mining, Machine Learning and AI in Smart Manufacturing * Data-driven decision making in Industry 4.0 * Real-time Computing in Smart Manufacturing Environments * Proactive and Autonomous Computing in Digital Factories * Intelligent Cyber-Physical Systems and Digital Twins * Context-aware and Adaptive Systems in Smart Manufacturing and Digital Factories * Digital Security, Privacy and Liability * Business Process Modelling, Analysis and Engineering * Business Impact of Information Systems for Industry 4.0 * Advanced user interfaces for Industry 4.0 * Virtual and augmented reality for smart manufacturing Important Dates --------------------- Paper submission: February 1st, 2019 Acceptance notification: February 22nd, 2019 Camera Ready Copies and copyright forms: March 1st, 2019 Workshop: June 4th, 2019 --------------------- Workshop Co-chairs: --------------------- Federica Mandreoli Universit? di Modena e Reggio Emilia, Italy Giacomo Cabri Universit? di Modena e Reggio Emilia, Italy Gregoris Mentzas National Technical University of Athens, Greece Karl Hribernik Bremer Institut f?r Produktion und Logistik GmbH (BIBA), Germany --------------------- Workshop web site: https://sites.google.com/view/ket4df2019 --------------------- --------------------- -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From pmasulli at e-nns.org Wed Jan 2 12:17:26 2019 From: pmasulli at e-nns.org (Paolo Masulli ENNS) Date: Wed, 2 Jan 2019 18:17:26 +0100 Subject: Connectionists: CFP 28th International Conference on Artificial Neural Networks ICANN 2019, Sept 17-19, Munich, DE Message-ID: 28th International Conference on Artificial Neural Networks http://icann2019.org Munich, Germany 17 - 19 September 2019 Special event: BIGCHEM (http://bigchem.eu) final meeting ============================================================ The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2019 the Helmholtz Zentrum Muenchen - German Research Center for Environmental Health GmbH (HMGU) and the Technical University of Munich (TUM) together with the "Big Data in Chemistry" Marie Sk?odowska-Curie Innovative Training Network European Industrial Doctorate project (BIGCHEM) organize the 28th ICANN Conference from the 17th to the 19th of September 2019 in Munich, Germany. CONFERENCE TOPICS ICANN 2019 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. Special session (BIGCHEM): Big Data analysis in chemistry, chemoinformatics, use of deep learning to predict molecular properties, drug-discovery, modelling and prediction of chemical reaction data, synthetic route prediction, structure generation, molecular dynamics simulations and quantum chemistry. CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS All scientific communications presented at ICANN 2019 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications: - oral communications (15'+5') - poster communications - demonstrations Call for Special Sessions: ICANN2019 organizers cordially invite internationally recognised experts to organise Special Sessions (including workshops and competitions) within the general scope of the conference. Special Session Proposal request should be sent to icann2019 at bigchem.eu Call for Papers: Authors willing to present original contributions in either oral or poster category may submit: - a proceedings paper manuscript of about 10 - 12 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI - extended abstracts of a maximum length of 2 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selections will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be online. More details will be made available soon on the conference website: http://icann2019.org IMPORTANT DATES Deadline of special sessions submission: 1 February 2019 Opening of contribution submissions: 1 February 2019 Submission of demonstration proposals: 1 March 2019 Deadline of proceedings paper submission: 15 March 2019 Deadline of extended abstracts submission: 1 April 2019 Notification of acceptance: 1 May 2019 Camera-ready paper and registration opening: 1 June 2019 Deadline early registration at discount rate: 15 June 2019 Conference dates: 17-19 September 2019 BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and, analogously, two in the Machine Learning Research track. All awardees will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details on the conference website. ORGANISATION General Chair: Igor Tetko (ENNS/HMGU Munich, Germany) and Fabian Theis (HMGU/TUM Munich, Germany) Organising Committee Chairs: Monica Campillos (HMGU Munich, Germany), Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chair: Vera Kurkova, Czech Academy of Sciences (ENNS President) Communication Chair: Paolo Masulli (ENNS Lausanne, Switzerland) -- Paolo Masulli European Neural Network Society https://e-nns.org From terry at salk.edu Wed Jan 2 17:38:52 2019 From: terry at salk.edu (Terry Sejnowski) Date: Wed, 02 Jan 2019 14:38:52 -0800 Subject: Connectionists: NEURAL COMPUTATION - January 1, 2019 In-Reply-To: Message-ID: Neural Computation - Volume 31, Number 1 - January 1, 2019 Available online for download now: http://www.mitpressjournals.org/toc/neco/31/1 http://cognet.mit.edu/content/neural-computation ----- View Ten Simple Rules for Organizing and Running a Successful Intensive Two-week Long Course Gunnar Blohm, Paul Schrater, and Konrad Paul Kording Letters First Passage Time Memory Lifetimes for Simple, Multistate Synapses: Beyond the Eigenvector Requirement Terry Elliott Decoding of Neural Data Using Cohomological Feature Extraction Erik Rybakken, Nils Baas, and Benjamin Dunn Fixed Points of Competitive Threshold-linear Networks Carina Curto, Jesse Geneson, and Katherine Morrison Supervised Dimensionality Reduction on Grassmannian for Image-set Recognition Tianci Liu, Zelin Shi, and Yunpeng Liu The Exact VC Dimension of the WiSARD n-tuple Classifier Hugo C C Carneiro, Carlos E Pedreira, Felipe M G Franca and Priscila Machado Vieira Lima Dual Neural Network Method for Solving Multiple Definite Integrals Haibin Li, Yangtian Li, and Shangjie Li ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From stefano.panzeri at gmail.com Thu Jan 3 05:48:22 2019 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Thu, 3 Jan 2019 11:48:22 +0100 Subject: Connectionists: NIH-funded Postdoctoral Position at the Italian Institute of Technology Message-ID: I am seeking to hire one or more postdoctoral scientists to research with me and my Neural Computation laboratory at the Istituto Italiano di Tecnologia. The project, funded by a Brain Initiative multi-PI RO1 Grant from the National Institute of Health, will be performed in collaboration with my experimental collaborators Christopher Harvey (Harvard Medical School) and Wei-Chung Lee (Children?s Hospital). The proposed computational research will use data-driven models of recurrent neural networks and information-theoretic methods to analyze functional activity of hundreds of neurons recorded during cognitive tasks, together with anatomical electron-microscopy data collected from the same subjects and brain regions. The aim of the project is to establish novel and firm relationships between the anatomical structure of a cortical microcircuit and its neural population coding function. The laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, well-funded and ambitious research environment with extensive international collaborations and ample opportunities for advanced training and personal scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. The successful candidate will have the opportunity to conduct research at either the IIT in Italy, or at the IIT outstation at Harvard Medical School, in Boston, depending on the nature of the agreed research and on personal preferences. For representative recent publications from the PI, see: Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, *Nature*: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Safaai, H., et al (2015) Modelling the effect of Locus Coeruleous firing on single trial cortical state dynamics and sensory processing. *Proc. Natl. Acad. Sci. USA* 112(41): 12834?12839 Further information about my research can be found at my IIT and Google Scholar web pages: https://www.iit.it/people/stefano-panzeri https://scholar.google.it/citations?user=C-HCQ9cAAAAJ&hl=en Applications (full CV, statement of research interest and name and contact of 2 referees) should be sent by e-mail to stefano.panzeri at iit.it, quoting ?Postdoctoral position in Computational Neuroscience? in the subject line. The deadline for applications is January 31th, 2019. Applications will be examined until the position is filled. Interested applicants are advised to contact me by email informally *as soon as possible* to discuss about the science and the position informally. Thanks! Stefano Panzeri -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.rankin at gmail.com Thu Jan 3 08:02:24 2019 From: james.rankin at gmail.com (James Rankin) Date: Thu, 3 Jan 2019 13:02:24 +0000 Subject: Connectionists: PhD in Computational and Mathematical Neuroscience (EPSRC funded, 3.5 yrs, Sept 2019 start) In-Reply-To: References: Message-ID: *PhD in Computational and Mathematical Neuroscience (EPSRC funded, 3.5 yrs, Sept 2019 start)* General information & apply (funding is primarily targeted at UK students): http://www.exeter.ac.uk/studying/funding/award/index.php?id=3386 Project description: http://www.exeter.ac.uk/codebox/phdprojects/Rankin-EPSRC-DTP-Project.pdf *Closing date 7th Jan 2019* *Dynamical System Modelling of the Early Auditory Pathway* This interdisciplinary project will develop computational and mathematical models of the auditory system to understand how complex stimuli like speech are encoded by spiking neurons in the midbrain. The auditory midbrain is a key hub in the auditory processing pathway, functioning as an important junction that relays and shapes neural signals as they ascend towards auditory cortex. Knowledge of the way in which complex sounds, e.g. speech, are encoded in the midbrain is crucial for understanding how dysfunction in the earlier auditory processing pathway (cochlea, auditory nerve, cochlear nucleus) leads to different types of hearing loss (a problem affecting 1 in 6 people in the UK). Working with neural recordings from the auditory midbrain in gerbils, a commonly-used animal for the study of low-frequency hearing, this project will develop mathematical and computational models of the auditory processing pathway. The aim is to understand the different roles of the patterns of inputs to midbrain neurons and their intrinsic response properties (e.g. their spiking rate) in shaping their responses to complex sounds. The project will use a dynamical systems approach to model the intrinsic properties of individual neurons in the midbrain in a biologically plausible way (working with, e.g. adaptive exponential integrate-and-fire neurons or the Hodgkin-Huxley equations). Inputs to these neurons will be based on established cochlear models and the biological details of the auditory nerve and cochlear nucleus. The resulting model will produce firing patterns directly comparable with neural recordings provided by the experimental supervisor. This data will be used to train and parameter fit the model using e.g. Bayesian optimisation or genetic algorithms. The resultant model will have explanatory power for the extent to which midbrain responses are shaped by its inputs from cochlear nucleus. Further, it will make predictions, testable in new experiments, of how midbrain responses will be affected by different dysfunctions of the early auditory system relating to hearing loss. The successful candidate will receive training dynamical systems theory and in the development and analysis of individual neuron and neural network models. An interdisciplinary approach, incorporating known biological details of the auditory processing pathway, will require the candidate to learn the relevant biology and neuroscience along with mathematical and computational techniques. The project will involve working closely with experimental neuroscientists and experimental data. This project provides a unique opportunity to receive training in mathematical modelling in close collaboration with experimentalists using cutting-edge methods recording spikes simultaneously from hundreds of neurons. Experience working on such interdisciplinary projects is highly sought after. Candidates with quantitative backgrounds (mathematics, physics, engineering) and from neuroscience programmes are encouraged to apply. Programming experience, knowledge of dynamical systems theory and experience in biological modelling are a plus. For further information, please contact me at the email address above. *For further information, please contact Dr James Rankin, email j.a.rankin at exeter.ac.uk * http://emps.exeter.ac.uk/mathematics/staff/jar226 See also another project (co-supervised with Joel Tabak): *Determination of parameter dependencies across diverse populations of neuro-endocrine cells* http://www.exeter.ac.uk/codebox/phdprojects/Tabak-EPSRC-DTP-Project.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From graduateprograms at bccn-berlin.de Thu Jan 3 12:03:14 2019 From: graduateprograms at bccn-berlin.de (Robert Martin) Date: Thu, 3 Jan 2019 18:03:14 +0100 Subject: Connectionists: *Graduate Programs in Computational Neuroscience* in Berlin; MSc and PhD; deadline March 15, 2019, deadline for PhD scholarships also Jan 07, 2019 Message-ID: [Apologies for cross-posting] *Doctoral* and *Master Program* "Computational Neuroscience" at the Bernstein Center for Computational Neuroscience Berlin in Berlin, Germany Application deadline: *March 15, 2019* PhD Scholarships also: *January 07, 2019* Begin of courses: Sept/Oct 2019 Internet: https://www.bccn-berlin.de/graduate-programs-computational-neuroscience.html _Master's Program_ The tuition-free Master program in Computational Neuroscience offers *15 places* per year, has a duration of 2 years and is fully taught in English. The *curriculum* is subdivided into ten modules, whose content includes theoretical neuroscience, programming, machine learning, cognitive neuroscience, acquisition, modelling, and computational analysis of neural data, with a strong focus on a complementary theoretical and experimental training. Three lab rotations and a Master's thesis are accomplished in the second year. The aim of the program is to provide the students with an interdisciplinary education and an early contact to the neurocomputational research environment. *Requirements* BSc or equivalent degree in a relevant subject (typically in the natural sciences, in an engineering discipline, in cognitive science, or in mathematics), certificate of English proficiency, proof of sufficient mathematical knowledge (at least 24 ECTS credit points). _Doctoral Program_ The Bernstein Center for Computational Neuroscience Berlin (BCCN Berlin, https://www.bccn-berlin.de/) invites applications for it's PhD program. The BCCN Berlin is a leading research center dedicated to the theoretical study of neural processing and the *scientific program* of the research training group combines techniques and concepts from machine learning, computational neuroscience, and systems neurobiology in order to specifically address sensory computation. Doctoral candidates will work on interdisciplinary projects investigating the mechanisms of neural computation, address the processes underlying perception on different scales and different levels of abstraction, and develop new theories of computation hand in hand with well-controlled experiments in order to put functional hypotheses to the test. The BCCN Berlin offers structured supervision complemented by a teaching and training program. Each student will be supervised by two investigators with complementary expertise. Candidates are expected to hold a Masters degree (or equivalent) in a relevant subject (e.g., neuroscience, cognitive science, computer science, physics, mathematics, etc.) and have the required advanced mathematical background. _Neurosciences in Berlin_ _International PhD Fellowships_ The BCCN Berlin is part of the Einstein Center for Neurosciences Berlin (ECN Berlin, https://www.ecn-berlin.de/). The ECN was initiated by the joint research networks listed below to harmonize existing training programs in the neurosciences in Berlin, with the goal of strengthening an already strong research landscape and consolidating a PhD education equal to the highest international standards. The ECN invites applications for *scholarships* for its PhD program starting in Fall 2019. Deadline for application is *January 07* 2019. ECN member institutions are: The Berlin School of Mind and Brain The Bernstein Center for Computational Neuroscience Berlin The Center for Stroke Research Berlin The Cluster of Excellence NeuroCure The ECN member institutions promote cutting-edge neuroscientific research across a wide range of different disciplines and approaches. The ECN provides the umbrella structure that specifically fosters interdisciplinary, collaborative research by facilitating cooperation between these institutions, and by promoting interaction on all levels. With around 100 internationally recognized research groups, the ECN offers outstanding interdisciplinary training and research opportunities for national and international scientists, with research spanning from synapse to behavior, molecule to disease, and brain to mind. How to apply: https://www.ecn-berlin.de/education/phd-fellowships/how-to-apply.html Closing date for applications is January 07, 2019. The final interview will take place in March 2017. The ECN is an inter-institutional research network funded by Einstein Foundation Berlin and jointly supported by the Charit? - Universit?tsmedizin Berlin, the Freie Universit?t Berlin, the Humboldt-Universit?t zu Berlin and the Technische Universit?t Berlin, as well as the non-university partners Max Delbr?ck Center for Molecular Medicine and Leibniz-Institut f?r Molekulare Pharmakologie. ~~~ _For more information_ ... ... come and visit us at the BCCN Berlin: https://www.bccn-berlin.de/events-list/information-day-international-graduate-program-computational-neuroscience.html https://www.bccn-berlin.de/how-to-reach-bccn.html ... or browse: https://www.bccn-berlin.de/graduate-programs-computational-neuroscience.html ... or e-mail: graduateprograms at bccn-berlin.de . Best regards, Robert Martin -- Robert Martin, PhD Teaching Coordinator Bernstein Center for Computational Neuroscience Humboldt-Universitaet zu Berlin Philippstr. 13 House 6; 10115 Berlin; Germany Phone/Fax +49 (0)30 2093 6773/6771 http://www.computational-neuroscience-berlin.de GRK 1589/1, Sensory Computation in Neural Systems Technische Universitaet Berlin Sekretariat MAR 5-6; Marchstr. 23; 10587 Berlin Phone/Fax +49 (0)30 314 72006/73121 http://www.eecs.tu-berlin.de/grk_15891/ From Donald.Adjeroh at mail.wvu.edu Thu Jan 3 11:48:49 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Thu, 3 Jan 2019 16:48:49 +0000 Subject: Connectionists: Call for Papers: SBP-BRiMS 2019 -- Social Computing, Behavior/Cultural Modeling, Prediction and Simulation 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 CALL FOR PAPERS: SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interests include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and/or evolution * Collective action and governance * Information, belief, technology of disease diffusion * Public opinion representation, identification and modeling * Information diffusion * Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations * Validation and analysis techniques for social behavioral models Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes over time or space * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Social Cyber-Security applications * Social simulation for military training * Cyber diplomacy * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Applications for Health and Well-being * Data science applied to health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation CHALLENGE PROBLEMS: There will be two data science challenges, one on opioids and one on disinformation. Additional details are posted on the conference website, SBP-BRiMS.org/challenge. The deadline for submissions this year will be 17-May-2019. IMPORTANT DATES: Regular Paper Submission: 22-February-2019 Author Notification: 22-March-2019 Final Version Submission for Regular Papers: 12-April-2019 Challenge Problem Paper Submission: 17-May-2019 All accepted papers require confirmation of conference registration when uploading final versions. Each accepted paper requires a separate registration. All regular papers will be a maximum of 10 pages including all figures, tables and references. See http://sbp-brims.org/cfp for more information on formatting AWARDS: All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. Submission of a paper to the conference means that the authors consent to send an extended version to the special issue, should they receive one of the awards. Papers receiving the best paper awards, the best student paper award, winner of the opioid challenge, and winner of the disinformation challenge will then send an extended version of their paper for publication in the best of SBP-BRiMS 2019 special issue. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pblouw at uwaterloo.ca Thu Jan 3 14:44:50 2019 From: pblouw at uwaterloo.ca (Peter Blouw) Date: Thu, 3 Jan 2019 14:44:50 -0500 Subject: Connectionists: Call for applications - 2019 Nengo Summer School Message-ID: [All details about this school can be found online at https://www.nengo.ai/summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 6th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to Loihi, Intel?s new neuromorphic research chip [1], and will learn to run high-level applications on Loihi using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [2], which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at last year's summer school, check out this short video: https://www.youtube.com/watch?v=NwtYgBB2N6I We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. [1] Davies, et al. (2018). Loihi: A neuromorphic manycore processor with on-chip learning. IEEE Micro. Vol. 38 no. 1 pp. 82-99. [ https://ieeexplore.ieee.org/document/8259423] [2] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] ***Application Deadline: February 15, 2019*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with neuromorphic hardware (e.g. Loihi, SpiNNaker) - build perceptual, motor, and cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more? Date and Location: June 9th to June 21st, 2019 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw at appliedbrainresearch.com). The school is also partly supported by ONR and ABR, Inc. We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Fri Jan 4 03:17:17 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 4 Jan 2019 10:17:17 +0200 Subject: Connectionists: The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Second Call for Demos and Late Breaking Results In-Reply-To: References: <9D907F9B-A04A-43F0-8623-6D92E4132AC9@cs.ucy.ac.cy> <46CA4E92-4B9B-4D1B-8B60-A1D0C2701DE3@cs.ucy.ac.cy> <24094F96-58F5-466E-A748-E91B9EC6E8A2@cs.ucy.ac.cy> <95F40EA8-2662-46AD-B301-3385D4B8601B@cs.ucy.ac.cy> <05EDB924-A9A7-4E3B-8E36-05EAE5D4242A@cs.ucy.ac.cy> <6FC69A4B-F456-4336-A7CC-2AAE2723CB67@cs.ucy.ac.cy> <3D0926CD-0237-493E-BBD1-914DD649F38F@cs.ucy.ac.cy> Message-ID: <66C85F2E-2E7D-4CFC-9BFF-ED6926E34DD9@cs.ucy.ac.cy> *** SECOND CALL FOR DEMOS AND LATE BREAKING RESULTS *** 27th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019 https://www.um.org/umap2019/ Submissions due: March 16, 2019 ACM UMAP - User Modelling, Adaptation and Personalization is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP 2019 invites Demonstrations and Late-Breaking Results (LBR) papers of innovative UMAP-based systems (including research prototypes). You are encouraged to submit your Demo or LBR by March 16th 2019. DEMONSTRATIONS Demonstrations will showcase research prototypes and commercially available products in a dedicated session. Demo submissions must be based on an implemented and tested system that pursues one or more innovative ideas in the interest areas of the conference. Demonstrations are an excellent and exciting way to showcase implementations and to get valuable feedback from the community. Each demo submission must make clear which aspects of the system will be demonstrated, and how. To better identify the value of demos, we also encourage authors to submit a pointer to a screencast (max. 5 minutes on Vimeo or YouTube) or to any external material related to the demo (e.g., shared code on GitHub). Descriptions of demonstrations should have a length of max. 2 pages in the ACM SIG proceedings template. On an extra page (not to be published), submissions should include a specification of the technical requirements for demonstrating the system at UMAP 2019. LATE-BREAKING RESULTS Late-Breaking Results (LBR) are research-in-progress that must contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing both the theory and practice of User Modeling, Adaptation and Personalization. In addition, papers introducing recently started research projects or summarizing project results are welcome as well. We encourage researchers and practitioners to submit a late-breaking work as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. Late-Breaking Results papers have a length of 4 to 6 pages in the ACM SIG proceedings template and will be presented to the conference as posters. SUBMISSION AND REVIEW PROCESS Submissions (demos and late-breaking results) must adhere to the ACM SIG Standard (SIGCONF) proceedings template. A template can be found at: https://www.acm.org/publications/proceedings-template . Submit your papers in PDF format via EasyChair for ACM UMAP 2019 Demos and Late-Breaking Results at: https://easychair.org/conferences/?conf=umap2019_demo-lbr . The review process will be single blinded, i.e. authors' names should be included in the papers. Submissions will be reviewed by at least two independent reviewers. They will be assessed based on their originality and novelty, potential contribution to the research field, potential impact in particular use cases, and the usefulness of presented experiences, as well as their overall readability. Papers that exceed the page limits (2 pages for demos and 6 pages for LBR) or do not adhere to the formatting guidelines will be returned without review. IMPORTANT DATES ? Submission of demos and LBR papers: March 16th, 2019 ? Notification of acceptance: April 5th, 2019 ? Camera-ready versions of accepted papers: April 15th, 2019 Note: The submissions times are 11:59 pm Anywhere on Earth. PUBLICATION AND PRESENTATION Accepted Demo and Late Breaking Results papers will be published in the ACM UMAP 2019 Adjunct Proceedings in the ACM Digital Library. All categories will be presented at the poster reception of the conference, in the form of a poster and/or a software demonstration following poster format. This form of presentation will provide presenters with an opportunity to obtain direct feedback about their work from a wide audience during the conference. At least one author of each accepted paper must register for the conference and present the paper there. LATE-BREAKING RESULTS AND DEMO CHAIRS ? Styliani Kleanthous, University of Cyprus, Cyprus & RISE LIMITED, Cyprus (Contact: stellak AT ucy.ac.cy) ? Maria Bielikova, Slovak University of Technology Bratislava, Slovakia ? Ben Steichen, California State Polytechnic University, Pomona, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Fri Jan 4 14:29:46 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Fri, 4 Jan 2019 14:29:46 -0500 Subject: Connectionists: 20th ECEM meeting in Alicante, Spain: symposia/abstract submission and other key dates Message-ID: <068f01d4a463$ddb76bd0$99264370$@neuralcorrelate.com> ECEM 2019 Conference Information The 20th European Conference on Eye Movements, ECEM 2019, will take place from Sunday, August 18th, to Thursday, August 22nd, in Alicante, Spain. Over its more than three-decade long history, ECEM has grown to become the largest scientific meeting on eye movement research worldwide. The conference brings together a vibrant community of researchers working towards a better understanding of eye movements, and their use in the study of a wide range of topics in neuroscience, cognitive science and various applied fields. Our goal is to promote communication and cooperation between participants from diverse areas, such as neurophysiology, psychology, medical sciences, linguistics, computer science, human factors and many others. An important feature of ECEM is the presentation of state of the art equipment and software by manufacturers of eye movement recording systems. The conference website will soon be active at www.ecem2019.com. In the meantime, please save the dates: August 18th through August 22nd, 2019. Important Dates January 10, 2019 Symposia, poster/talk submission open January 28, 2019 Symposia submission deadline February 28, 2019 Notification of symposia acceptance April 1, 2019 Registration opens April 05, 2019 Poster/talk submission deadline May 06, 2019 Notification of poster/talk acceptance June 17, 2019 Deadline for early registration Conference Venue and Accommodation Alicante, with more than 320,000 inhabitants, is a traditional maritime city located on the Mediterranean Sea. The old part of the city encompasses Postiguet Beach, two marinas and a large commercial port. The city embraces an imposing 166-meter rocky hill right next to the sea, Monte Benacantil, crowned by The Castillo de Santa B?rbara (Santa Barbara Castle). This is one of the largest castles on the Mediterranean, and the conference dinner will take place within its premises, with breathtaking views over the city and the Mediterranean. The slopes of Monte Benacantil surround the old city of Alicante (El Barrio) like a shield. El Barrio is well known for its vibrant nightlife. The local organizing team has secured a large block of hotel rooms at special discounted rates for the conference. Specific hotel information will be made available on the website in March 2019. Lodging in the area is reasonably priced, but accommodation can become limited in the high summer season. We advise early hotel reservation. Publication of Abstracts Accepted abstracts will be published as a special issue in the Journal of Eye Movement Research (Editor: Rudolf Groner, Bern). See ECEM 2017?s abstracts at: https://bop.unibe.ch/JEMR/issue/view/779 On Behalf of the Local Organization Committee Please feel free to share this information with your colleagues. We look forward to welcoming you to Alicante! Luis Martinez-Otero (chair), Albert Compte, and Susana Martinez-Conde -------------------------------------- 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 george at cs.ucy.ac.cy Sat Jan 5 06:15:07 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Sat, 5 Jan 2019 13:15:07 +0200 Subject: Connectionists: 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020): Second Call for Track Proposals In-Reply-To: References: <31C24FFB-0CFA-4FDA-A707-4F88A4937121@cs.ucy.ac.cy> <6978C684-25CD-4FF6-BD9A-4AA340EF7189@cs.ucy.ac.cy> Message-ID: *** Second Call for Track Proposals *** 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: February 11, 2019 *** (Proceedings to be published by Springer) SOFSEM (SOFtware SEMinar) is an annual international winter conference devoted to the theory and practice of Computer Science. SOFSEM presents the latest results and developments in academic and industrial research in leading areas of Computer Science. The first SOFSEM was organized in 1974, and it was traditionally located in the Czech and Slovak Republics, before it started moving to other European locations. In 2017 it was organised in Ireland, in 2018 in Austria and in 2019 in Slovakia. The 46th edition will be organised in the sunny Mediterranean island of Cyprus. SOFSEM consists of Invited Talks by prominent researchers, Contributed Talks selected from the submitted papers, and the Student Research Forum. The program is organized in plenary talks and parallel tracks devoted to original research in contemporary areas of Computer Science. SOFSEM has a long-standing tradition of facilitating discussions and collegial interactions and 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 over the years have evolved to cover and address contemporary important areas of Computer Science, such as Artificial Intelligence, Cryptography, Security, and Verification, Data Science, Knowledge Engineering, Social Computing and Human Factors, Software and Web Engineering, etc. The proceedings of SOFSEM are published in the prestigious ARCoSS (Advanced Research in Computing and Software Science) subseries of Springer's Lecture Notes in Computer Science (LNCS) series. For SOFSEM 2020, the Steering Committee is inviting proposals for organising tracks. The tracks can be of theoretical or practical nature or a combination of both. Tracks from industry are particularly welcome. A proposal should not exceed 3 pages and should include the following items: a) Title, aim and scope of the proposed track, as well as the list of topics that the proposed track will address. b) Rationale for having this track in SOFSEM, including any other similar events that the proposed track complements or differs from. c) Names, affiliations and short CVs for the chairs of the proposed track, demonstrating past relevant experience in organising such tracks or events. d) Tentative list of names of the Program Committee for the proposed track. e) A short dissemination plan for the CFP mentioning the forums where the latter will be posted. The proposals will be reviewed by the Steering Committee and the General Chairs, based on the above mentioned criteria. A proposal may be accepted as is, requested to modify its title and/or topics covered, merged with another proposed track or rejected. Upon acceptance, the track chairs will be notified of their exact duties in managing the affairs of their track. The Steering Committee reserves the right to cancel a track at any moment in time, if these responsibilities are not dealt with satisfactorily by the track chairs. Proposals should be submitted by February 11th, 2019 to the SOFSEM 2020 General Chairs, Yannis Manolopoulos (yannis.manolopoulos AT ouc.ac.cy) and George A. Papadopoulos (george AT cs.ucy.ac.cy). IMPORTANT DATES * Submission of track proposals: February 11, 2019 * Notification of proposals acceptance or rejection: February 25, 2019 * Submission of abstracts: July 29, 2019 * Submission of full papers: August 5, 2019 * Notification of acceptance for submitted papers: September 30, 2019 * Camera-Ready submission of accepted papers: October 28, 2019 * Early and author registration deadline: November 25, 2019 * Conference dates: January 20-24, 2020 ORGANISATION General Chairs Yannis Manolopoulos, Open University of Cyprus, CY George A, Papadopoulos, University of Cyprus, CY Steering Committee Barbara Catania, University of Genova, IT Miroslaw Kutylowski, Wroclaw Uni. of Technology, PL Tiziana Margaria-Steffen, University of Limerick, IE Branislav Rovan, Comenius University, Bratislava, SK Petr Saloun, Technical University of Ostrava, CZ Julius Stuller, Academy of Sciences, Prague, CZ, chair Jan van Leeuwen, Utrecht University, Utrecht, NL -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Sat Jan 5 06:57:40 2019 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Sat, 5 Jan 2019 13:57:40 +0200 Subject: Connectionists: 1st Call-for-Participation: ImageCLEF 2019 Tasks Message-ID: [Apologies for multiple postings] ImageCLEF 2019 Multimedia Retrieval in CLEF http://www.imageclef.org/2019/ https://www.facebook.com/ImageClef/ https://twitter.com/imageclef/ *** CALL FOR PARTICIPATION *** ImageCLEF 2019 is an evaluation campaign that is being organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs. The campaign offers several research tasks that welcome participation from teams around the world. The results of the campaign appear in the working notes proceedings, published by CEUR Workshop Proceedings (CEUR-WS.org) and are presented in the CLEF conference. Selected contributions among the participants will be invited for submission to a special section "Best of CLEF'19 Labs" in the Springer Lecture Notes in Computer Science (LNCS) of CLEF'20, together with the annual lab overviews. Target communities involve (but are not limited to): - information retrieval (text, vision, audio, multimedia, social media, sensor data, etc.) - machine learning, deep learning - data mining - natural language processing - image and video processing - computer vision with special attention to the challenges of multi-modality, multi-linguality, and interactive search. *** 2019 TASKS *** *ImageCLEFlifelog* https://www.imageclef.org/2019/lifelog An increasingly wide range of personal devices, such as smartphones, video cameras as well as wearable devices that allow capturing pictures, videos, and audio clips for every moment of our lives, are becoming available. In this context, the task addresses the problems of lifelogging data retrieval and summarization. Organizers: Duc-Tien Dang-Nguyen (University of Bergen), Luca Piras (University of Cagliari), Michael Riegler (University of Oslo), Minh-Triet Tran (University of Science), Mathias Lux (Klagenfurt University), and Cathal Gurrin (Dublin City University). *ImageCLEFsecurity* https://www.imageclef.org/2019/security File Forgery Detection is a very serious problem concerning digital forensic examiners. Fraud or counterfeits are common causes for altering files. Steganography is the practice of concealing a file, message, image or video within another file, message, image, or video. The task addresses the problems of automatically identifying forged content and retrieve hidden information. Organizers: Narciso Garcia (Universidad Politecnica de Madrid), Ergina Kavallieratou (University of the Aegean), Carlos Roberto del Blanco (Universidad Politecnica de Madrid), Carlos Cuevas Rodriguez (Universidad Politecnica de Madrid), Nikos Vasillopoulos (University of the Aegean), and Konstantinos Karampidis (University of the Aegean). *ImageCLEFcoral* https://www.imageclef.org/2019/coral The increasing use of structure-from-motion photogrammetry for modelling large-scale environments from action cameras has driven the next generation of visualisation techniques. The task addresses the problem of automatically segmenting and labeling a collection of images that can be used in combination to create 3D models of an underwater environment for the monitoring of coral reef structure and composition. Organizers: Jon Chamberlain (University of Essex), Adrian Clark (University of Essex), and Alba Garcia Seco de Herrera (University of Essex). *ImageCLEFmedical* https://www.imageclef.org/2019/medical Medical images are used in a variety of scenarios. The task addresses the challenge of automatically predicting tuberculosis type from 3D chest CT scans (ImageCLEFmedTuberculosis), mapping of visual information to textual descriptions (ImageCLEFmedCaption) and visual question answering (ImageCLEF-VQA-Med). The objective is to combine medical tasks into a common task with several subtasks to foster collaborations. Organizers: Asma Ben Abacha (National Library of Medicine), Sadid A. Hasan (Philips Research Cambridge), Vivek Datla (Philips Research Cambridge), Joey Liu (Philips Research Cambridge), Dina Demner-Fushman (National Library of Medicine), Henning M?ller (University of Applied Sciences Western Switzerland), Obioma Pelka (University of Applied Sciences and Arts Dortmund), Christoph M. Friedrich (University of Applied Sciences and Arts Dortmund), Alba Garcia Seco de Herrera (University of Essex), Yashin Dicente Cid (University of Applied Sciences Western Switzerland), Vitali Liauchuk (Institute for Informatics), and Vassili Kovalev (Institute for Informatics). *** IMPORTANT DATES *** (may vary depending on the task) - Task registration opens: November 12, 2018 - Run submission: May 1, 2019 - Working notes submission: May 24, 2019 - CLEF long and short paper submission: May 10, 2019 - CLEF 2019 conference: September 9-12, Lugano, Switzerland *** OVERALL COORDINATION *** Bogdan Ionescu, University Politehnica of Bucharest, Romania Henning M?ller, HES-SO, Sierre, Switzerland Renaud P?teri, University of La Rochelle, France On behalf of the organizers, Prof. Bogdan IONESCU ETTI - University Politehnica of Bucharest http://campus.pub.ro/lab7/bionescu/ Research Center CAMPUS http://www.campus.pub.ro https://facebook.com/upbcampus https://twitter.com/upbcampus From sepand.haghighi at yahoo.com Sat Jan 5 07:33:56 2019 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Sat, 5 Jan 2019 12:33:56 +0000 (UTC) Subject: Connectionists: PyCM 1.8 released: Machine learning library for confusion matrix statistical analysis References: <1583936813.6600947.1546691636279.ref@mail.yahoo.com> Message-ID: <1583936813.6600947.1546691636279@mail.yahoo.com> PyCM 1.8 released https://github.com/sepandhaghighi/pycmhttp://www.pycm.ir Changelog : - Lift Score (LS) added #128 - color argument added to save_html method #130 - version_check.py added - Error messages modified #132 - Document modified #131 - Website changed to http://www.pycm.ir - Interpretation functions moved to pycm_interpret.py - Utility functions moved to pycm_util.py - Unnecessary els and elif removed - == changed to to is Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From pgrover at andrew.cmu.edu Sun Jan 6 04:23:41 2019 From: pgrover at andrew.cmu.edu (Pulkit Grover) Date: Sun, 6 Jan 2019 14:53:41 +0530 Subject: Connectionists: Postdoc position jointly at UCSD/CMU (Coleman/Grover labs). Message-ID: Postdoctoral position in Coleman lab at UCSD and Grover lab at CMU in theory and data analysis: modeling, monitoring, and modulating the enteric nervous system A postdoc position at the intersection of theoretical and computational neuroscience is available working jointly with the labs of Todd Coleman at UC San Diego and Pulkit Grover at Carnegie Mellon University (Pittsburgh, PA). The team's goal is to develop advanced theoretical techniques, closely with validation in realistic computational models, for noninvasive detection, tracking, and modulation of neural activity of the enteric nervous system. The role of the postdoc will be to lead computational modeling, simulations, and data analysis for these systems. The postdoc will collaborate with information theorists, experimentalists, and clinicians. The postdoc will be based in UCSD, and is expected to travel a few times between UCSD and CMU to learn from the existing approaches and coordinate efforts of the two teams. This is an opportunity to work on a challenging and applicable scientific problem in a highly interdisciplinary and vibrant environment. Requirements: PhD in a related discipline (Engineering, Computer Science, Neuroscience, or Biomedical Engineering) with a strong theoretical and computational record. Background in basic cellular neurophysiology is recommended but not mandatory. The labs are committed to the professional development of the members, making this position a valuable preparation for those interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties. The ideal start date is Mar 2019, but early applications will also be accepted. The position is initially for 12 months with the possibility of renewal. Compensation will be competitive, and commensurate with relevant experience. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to tpcoleman at ucsd.edu and pulkit at cmu.edu with the subject line ?enteric-system postdoc?. Application review will proceed until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Mon Jan 7 01:07:43 2019 From: jimtoer at ifi.uio.no (=?utf-8?Q?Jim_T=C3=B8rresen?=) Date: Mon, 7 Jan 2019 07:07:43 +0100 Subject: Connectionists: CFP: 2019 Joint IEEE Int. Conf. on Development and Learning and on Epigenetic Robotics Message-ID: <501FE43A-D7BC-4B8A-8AE2-15BDC9765052@mail.uio.no> Dear Colleagues, [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to those who might be interested.] CALL FOR PAPERS: 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 An IEEE Computational Society sponsored conference ==== Important Dates ==== Submission deadline: February 22, 2019 Author notification: May 1, 2019 Camera ready due: June 1, 2019 Conference: August 19-22nd 2019 ==== 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 ==== Submissions ==== Authors are invited to submit original and unpublished papers of at most 6 pages in IEEE double column format. Submission will undergo peer-review impacting which papers that are selected for either oral presentation or poster presentation. Accepted and presented full six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. The authors of the best conference papers will be invited to submit an extended version of their papers to be reviewed for inclusion in a "2019 ICDL-EpiRob conference" special issue of IEEE Transactions on Cognitive and Developmental Systems (TCDS). We also invite submissions for the MODELBot Challenge, a paper competition focusing on computational models of human or animal learning, as well as the use of robotic and computational techniques for supporting human learning. Full details are provided on the conference web page. ==== Confirmed Keynote Speakers ==== Prof. Aude Billard, ?cole Polytechnique F?d?rale de Lausanne, Switzerland Hod Lipson, Columbia University, USA Prof. Michael J. Frank, Brown University, USA Prof. Dr. Stefanie H?hl, University of Vienna, Austria See https://icdl-epirob2019.org/keynotes/ ==== 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) 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 malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de Mon Jan 7 02:25:13 2019 From: malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de (Vinita Samarasinghe) Date: Mon, 7 Jan 2019 08:25:13 +0100 Subject: Connectionists: PhD level - international fellowship Message-ID: <4595e3a7-3e3a-d667-741c-42501c39c827@ini.ruhr-uni-bochum.de> Prof. Sen Cheng, Institute for Neural Computation at the *Ruhr University Bochum* in Germany, invites applicants for an International Student Fellowship to be awarded through the international research training group ?Integration and Representation of Sensory Processes? (SFB 874). The fellowship has a duration of 4 months, after which it could be extended to a *3 year **PhD position* if a good fit with the group is observed. The work will focus on studying the interaction between neocortex and hippocampus using spiking neural network models. The position is part of the project "Theory of the interplay between sensory cortices and hippocampus in memory formation and retrieval", which is funded by the German Research Foundation as part of the collaborative research center SFB 874. The appointment will be initially from 01.03.2019-30.06.2019. Candidates should have an excellent university degree in neuroscience, physics, mathematics, engineering or a related field and be eligible to enroll in a relevant PhD program at the Ruhr University. Competence in mathematical modeling and excellent programming skillsare mandatory. Familiarity with computational neuroscience or computational cognitive modeling would be a further asset. Only candidates who have not previously lived in Germany will be considered. For further information regarding the IRTG fellowship please visit https://www.ruhr-uni-bochum.de/sfb874/integrated_research_training_group/fellowship/fellowship.html The Ruhr University Bochum is home to a vibrant research community in neuroscience and cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscience to machine learning and robotics. For further information see www.rub.de/cns . To apply please send a statement of your motivation and research interests, academic transcripts, and a complete CV to samarasinghe at ini.rub.de in a single PDF file. Please, also request from at least two academic referees that they send letters of reference directly to the same email address. The deadline for applications is 15.01.2019. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Universit?tstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe at ini.rub.de Hours: Mon. - Fri. 8-11 -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniel.choquet at u-bordeaux.fr Mon Jan 7 04:52:25 2019 From: daniel.choquet at u-bordeaux.fr (Daniel Choquet) Date: Mon, 7 Jan 2019 10:52:25 +0100 Subject: Connectionists: Seeking group leaders in computational neuroscience Message-ID: <02fe01d4a66e$b1f19540$15d4bfc0$@u-bordeaux.fr> Dear colleague, I would like to seek your help in identifying outstanding candidates for our ongoing call for group leaders in our Neuroscience department. Please note our special emphasis in seeking group leaders in computational neuroscience. Could you please circulate the enclosed flyer ? I thank you in advance for your help and wish you a very happy and fruitful year 2019 Best wishes Daniel Choquet Director of the BRAIN cluster of excellence IINS, UMR 5297 CNRS-Universit? de Bordeaux Institut Interdisciplinaire de NeuroScience BIC, UMS 3420 CNRS-US 004 INSERM-Universit? de Bordeaux Bordeaux Imaging Center Centre Broca Nouvelle Aquitaine 146 rue L?o Saignat 33076 Bordeaux C?dex Tel 33 (0) 5 33 51 47 15 email daniel.choquet at u-bordeaux.fr IINS web site: http://www.iins.u-bordeaux.fr/ Bordeaux Imaging Center : http://www.bic.u-bordeaux.fr/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Group-leaderPdFV2.pdf Type: application/pdf Size: 752418 bytes Desc: not available URL: From pkordjam at tulane.edu Mon Jan 7 11:45:17 2019 From: pkordjam at tulane.edu (Kordjamshidi, Parisa) Date: Mon, 7 Jan 2019 16:45:17 +0000 Subject: Connectionists: [CFP] Joint Call for Papers for the Research and ADS tracks ECML PKDD 2019 Message-ID: <4E26471C-812A-40F6-BDDB-CF9B6BB9465D@tulane.edu> Joint Call for Papers for the Research and ADS tracks ECML PKDD 2019 W?rzburg, Germany, September 16-20, 2019. http://ecmlpkdd2019.org/ This is a joint call for papers for both the Research and the Applied Data Science Tracks of the 2019 edition of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019). This conference provides an international forum for the latest research in all areas related to machine learning and knowledge discovery in databases, as well as innovative data science applications. The conference will take place September 16 - 20 2019 in W?rzburg, Germany. In the Research Track, we invite submissions of research papers from all areas in machine learning, knowledge discovery and data mining. Following the tradition of ECML PKDD, we are looking for high-quality papers in terms of novelty, technical quality, potential impact, and clarity of presentation. Papers should demonstrate that they provide a significant contribution to the field (e.g, improve the state-of-the-art or provide a new theoretical insight). In the Applied Data Science Track, we invite papers that present novel applications of machine learning, data mining and knowledge discovery to solve real world use cases, thereby bridging the gap between practice and current theory. Papers should clearly explain the real world challenge that is being addressed (including any peculiarities of the data, like size of the data set, noise levels, sampling rates, etc), the methodology that is being used, conclusions for the use case and possibilities to generalize the solution to similar use cases. Please see the conference website (http://ecmlpkdd2019.org/submissions/researchAndADSTrack) and the FAQ (http://ecmlpkdd2019.org/faq) for details about the tracks. If you have any additional questions, please feel free to contact the Program Chairs. Important dates: Abstract submission deadline: March 29, 2019 Paper submission deadline: April 5, 2019 Author notification: June 7, 2019 Camera ready submission: June 28, 2019 We are looking forward to receiving your paper! Ulf Brefeld, Andreas Hotho, Marloes Maathuis, C?line Robardet ECML PKDD 2019 Program Co-Chairs pc_chairs at ecmlpkdd2019.org ------------------------------------------- Kordjamshidi, Parisa Assistant Professor CS Department at Tulane University Research Scientist at IHMC Homepage -------------- next part -------------- An HTML attachment was scrubbed... URL: From haim.dub at gmail.com Mon Jan 7 10:01:23 2019 From: haim.dub at gmail.com (dubossarsky haim) Date: Mon, 7 Jan 2019 15:01:23 +0000 Subject: Connectionists: CfP: Typology for Polyglot NLP - a workshop @ ACL2019 Message-ID: [Apologies for x-posting] First Call for Abstracts ======================== Typology for Polyglot NLP (TyP-NLP), a workshop to be held at the 2019 meeting of the Association for Computational Linguistics (ACL) in Florence, Italy, is now accepting submissions. Contact Email: typology-and-nlp at googlegroups.com Website: typology-and-nlp.github.io Workshop description ==================== The huge diversity of human languages leads to an inherent variation of the cross-lingual data with respect to the categories and structures in the languages? surface level. This results in poor performances of NLP algorithms when trying to transfer between languages. Linguistic typology provides a systematic, empirical comparison of the languages of the world with respect to a variety of linguistic properties, and therefore holds promise to solve this problem. However, typological information has not yet been fully exploited. Our workshop aims at bridging this gap by encouraging a tighter collaboration of the scientific communities from the areas of linguistic typology and multilingual NLP. TyP-NLP workshop is the first dedicated venue for typology-related research and its integration in multilingual NLP. The workshop is specifically aimed at raising awareness of linguistic typology and its potential in supporting and widening the global reach multilingual NLP. The topics of the workshop will include, but are not limited to: - **Language-independence in training, architecture design, and hyperparameter tuning.** Is it possible (and if yes, how) to unravel unknown biases that hinder the cross-lingual performance of NLP algorithms and to leverage the knowledge on such biases in NLP algorithms? - **Integration of typological features in language transfer and joint multilingual learning.** In addition to established techniques such as ?selective sharing?, are there alternative ways to encoding heterogeneous external knowledge in machine learning algorithms? - **New applications.** The application of typology to currently uncharted territories, i.e. the use of typological information in NLP tasks where such information has not been investigated yet. - **Automatic inference of typological features.** The pros and cons of existing techniques (e.g. heuristics derived from morphosyntactic annotation, propagation from features of other languages, supervised Bayesian and neural models) and discussion on emerging ones. - **Typology and interpretability.** The use of typological knowledge for interpretation of hidden representations of multilingual neural models, multilingual data generation and selection, and typological annotation of texts. - **Improvement and completion of typological databases.** Combining linguistic knowledge and automatic data-driven methods towards the joint goal of improving the knowledge on cross-linguistic variation and universals. Important Dates =============== - Submission Deadline: Friday, April 26, 2019 - Notification of Acceptance: Friday, May 24, 2019 - Camera-ready copy due from authors: Monday, June 3, 2019 - Workshop: Thursday, August 1, 2019 Submission Type =============== We accept **extended abstracts**. These may report on work in progress or may be cross submissions that have already appeared in a non-NLP venue. The extended abstracts are of maximum 2 pages + references. These submissions are non-archival in order to allow submission to another venue. The selection will not be based on a double-blind review and thus submissions of this type need not be anonymized. The abstracts should use ACL 2019 templates. These should be submitted via softconf: https://www.softconf.com/acl2019/typnlp/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Mon Jan 7 17:58:26 2019 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Tue, 8 Jan 2019 00:58:26 +0200 Subject: Connectionists: 2nd Call-for-Papers: SI on Looking At People: Analyzing Human Behavior from Social Media Data @ International Journal of Computer Vision Message-ID: [Apologies for multiple postings] Special Issue on "Looking At People: Analyzing Human Behavior from Social Media Data" International Journal of Computer Vision https://www.springer.com/computer?SGWID=0-146-6-1390546-0 *** CALL FOR PAPERS *** Although great advances have been obtained in the "Looking at People" field, it is only recently that attention has focused on problems connected to more complex and subconscious behavior. For instance, personality and social behavior are only starting to be explored from the computer vision and multimedia information processing perspectives. This is often due to a lack of data and benchmarks to evaluate these type of tasks. Nevertheless, the availability of massive amounts of multimodal information together with the dominance of social networks as a fundamental channel where users interact, have attracted the interest of the community in this direction of research. Tools for effectively analyzing these sort of behaviors have a major impact into everyone's life, with applications in health (e.g., support for mental disorders), security (e.g., forensics, preventive applications), human computer/machine/robot interaction (e.g., affective/interactive interfaces) and even entertainment (e.g., user-tailored systems). This special issue focuses in all aspects of computer vision and pattern recognition devoted to the automatic analysis of human behavior in social media from visual and multimodal information. The focus is on the analysis of human behavior that is not visually obvious, i.e., unconscious behavior and situations in which the sole visual analysis is insufficient to provide a satisfactory solution. Submissions in other aspects of looking at people may be considered as well. Prospective articles should make fundamental or practical contributions to the field. Topics of interest include (but are not limited to): - Human behavior analysis from visual and multimodal information, with emphasis on unconscious behaviors, including, but not limited to: personality analysis, deception detection, social behavior analysis - All aspects of human behavior analysis in the context of social networks using multimodal information, including, but not limited to: gesture/action, emotion recognition, personality analysis and human-computer interaction - Personality analysis and deception detection from multimodal information, including textual, visual, and audible information - Information retrieval, categorization and clustering of social networks data, including images, text, and videos for the analysis of human behavior - Analysis of human intention from social networks data involving multimodal information - New tasks, data sets and benchmarks on human behavior analysis from multimodal information - Multimodal machine learning, deep learning, active learning, and transfer learning for human behavior analysis in social media - Multimodal zero-shot learning, and unsupervised learning for the analysis of unconscious human behaviors - Crowdsourcing, community contributions, and social multimedia - Information fusion for the analysis of human behavior in the context of social networks - Large-scale and web-scale multimodal analysis of social media - Explainability and fairness in multimodal AI systems for human behavior analysis - Applications of unconscious behavior analysis methods, e.g., medicine, sports, commerce, lifelogs, travel, security, environment. *** Submission guidelines *** All the papers should be full journal length submissions and follow the guidelines set out by International Journal of Computer Vision: https://link.springer.com/journal/11263 Manuscripts should be submitted online at: https://www.editorialmanager.com/visi/ choosing "S.I. : Analyzing Human Behavior from Social Media Data" as article type. When uploading your paper, please ensure that your manuscript is marked as being for this special issue. Information about the manuscript (title, full list of authors, corresponding author's contact, abstract, and keywords) should be also sent to the corresponding editors (see information below). Submitted papers should present original, unpublished work, relevant to at least one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. *** Important dates *** Manuscripts Due: 15 March 2019 Publication: 1st quarter of 2020 *** Guest editors *** Hugo Jair Escalante (hugo.jair at gmail.com), INAOE, Mexico & ChaLearn, USA Bogdan Ionescu, University Politehnica of Bucharest, Romania Esa? Villatoro, UAM-C, Mexico Gabriela Ram?rez, UAM-C, Mexico Sergio Escalera, Computer Vision Center (UAB) & University of Barcelona, Spain Martha Larson, Radboud University & Delft University of Technology, Netherlands Henning M?ller, University of Applied Sciences Western Switzerland (HES-SO), Switzerland Isabelle Guyon, ChaLearn, Berkeley, California, USA On behalf of the guest editors, Prof. Bogdan IONESCU ETTI - University Politehnica of Bucharest http://campus.pub.ro/lab7/bionescu/ From thomas_serre at brown.edu Mon Jan 7 16:13:59 2019 From: thomas_serre at brown.edu (Thomas Serre) Date: Mon, 7 Jan 2019 16:13:59 -0500 Subject: Connectionists: PostDoc positions on deep learning | Brown University Message-ID: PostDoc positions on deep learning Brown University The Serre lab has openings for two postdoctoral fellows. One project will focus on modeling temporal data with recurrent neural networks with applications to neural prosthetics and brain-computer interface (in collaboration with David Borton, http://borton.engin.brown.edu). The other project will focus on computational modeling at the intersection between vision, memory and reinforcement learning (co-mentored with Michael Frank, http://ski.cog.brown.edu). See our website at http://serre-lab.clps.brown.edu for more details about our research. ** Relevant publications: D. Linsley, J. Kim, V. Veerabadran, C. Windolf & T. Serre. Learning long-range spatial dependencies with horizontal gated-recurrent units. Neural Information Processing Systems, 2018. https://neurips.cc/Conferences/2018/Schedule?showEvent=11042 D. Linsley, D. Schiebler, S. Eberhardt & T. Serre. Learning what and where to attend. International Conference on Learning Representations, 2019. https://openreview.net/forum?id=BJgLg3R9KQ Linsley, Drew, Junkyung Kim, David Berson, and Thomas Serre. Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks. arXiv, 2018. http://arxiv.org/abs/1811.11356 ** The successful candidate will become involved in a number of projects, depending on their particular interests, and will also have the opportunity to develop independent projects. The fellows will be located in a new state-of-the-art facility within the Carney Institute for Brain Science and embedded within the Carney Initiative for Computation in Brain and Mind. We also expect synergies with the Data Science Initiative co-located within the same building. Requirements: Candidates must have a strong background in computer vision and/or computational neuroscience and/or machine learning, with a track record of relevant publications at top venues (e.g., NIPS, ICML, CVPR, ICCV, ICLR, etc.) Excellent python programming skills and tensorflow experience are required. Application: Please send your application to thomas_serre at brown.edu with the subject line "postdoc position." Please include a brief statement of interests, a curriculum vitae, a list of publications and the name of 2-3 reference writers (no letter needed at this stage). There is no deadline for the application, but applicants are encouraged to apply as soon as possible as the position will be filled as soon as a suitable applicant is found. ** About the Carney Initiative for Computation in Brain and Mind ** The Carney Initiative for Computation in Brain and Mind (CICBM; http://compneuro.clps.brown.edu), which began Fall 2013 as a component of the Brain Institute, is an energetic and enthusiastic effort that fosters synergistic collaborations across departments. Groups affiliated with the initiative work on two core levels of computation. The first level focuses on theoretical neuroscience, including computational perception, control over action and learning, and fundamental questions in neuronal networks (synaptic plasticity, circuits, networks, oscillations). The second level focuses on applications and neurotechnology, including brain-machine interfaces, advanced neural data analysis, computer vision, computational psychiatry, and robotics. CICBM has 16 core computational faculty (http://compneuro.clps.brown.edu/people) spanning six departments, and many more faculty who incorporate computation for theory development, analysis, or both. The Carney Institute for Brain Science at Brown University advances multidisciplinary research, technology development, and training in the brain sciences and works to establish Brown University as an internationally recognized leader in brain research. The institute was just endowed with a new $100 million gift. CIBS unites more than 100 faculty members from a diverse group of departments at Brown, spanning basic and clinical departments, and physical and biological sciences. CIBS provides a mechanism to advance interdisciplinary research efforts among this broad group. ?CIBS provides essential support to obtain and administer multi-investigator grants for research, infrastructure, and training. The Institute actively seeks new training funds to support interdisciplinary education that transcends that available in individual academic departments. -------------- next part -------------- An HTML attachment was scrubbed... URL: From barros at informatik.uni-hamburg.de Mon Jan 7 06:10:46 2019 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Mon, 7 Jan 2019 12:10:46 +0100 Subject: Connectionists: CFP: TAC | Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data Message-ID: CALL FOR PAPERS Extended Deadline for the IEEE Transactions on Affective Computing Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data Website: https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/tacSpecialIssue2018.html I. Aim and Scope Research trends within artificial intelligence and cognitive sciences are still heavily based on computational models that attempt to imitate human perception in various behavior categorization tasks. However, most of the research in the field focuses on instantaneous categorization and interpretation of human affect, such as the inference of six basic emotions from face images, and/or affective dimensions (valence-arousal), stress and engagement from multi-modal (e.g., video, audio, and autonomic physiology) data. This diverges from the developmental aspect of emotional behavior perception and learning, where human behavior and expressions of affect evolve and change over time. Moreover, these changes are present not only in the temporal domain but also within different populations and more importantly, within each individual. This calls for a new perspective when designing computational models for analysis and interpretation of human affective behaviors: the computational models that can timely and efficiently adapt to different contexts and individuals over time, and also incorporate existing neurophysiological and psychological findings (prior knowledge). Thus, the long-term goal is to create life-long personalized learning and inference systems for analysis and perception of human affective behaviors. Such systems would benefit from long-term contextual information (including demographic and social aspects) as well as individual characteristics. This, in turn, would allow building intelligent agents (such as mobile and robot technologies) capable of adapting their behavior in a continuous and on-line manner to the target contexts and individuals. This special issue aims at contributions from computational neuroscience and psychology, artificial intelligence, machine learning, and affective computing, challenging and expanding current research on interpretation and estimation of human affective behavior from longitudinal behavioral data, i.e., single or multiple modalities captured over extended periods of time allowing efficient profiling of target behaviors and their inference in terms of affect and other socio-cognitive dimensions. We invite contributions focusing on both the theoretical and modeling perspective, as well as applications ranging from human-human, human-computer and human-robot interactions. II. Potential Topics Given computational models, the capability to perceive and understand emotion behavior is an important and popular research topic. That is why recent special issues on the IEEE Journal on Transactions on Affective Computing covered topics from emotion behavior analysis ?in-the-wild? to personality analysis. However, most of the research published by these specific calls treat emotion behavior as an instantaneous event, relating mostly to emotion recognition, and thus neglect the development of complex emotion behavior models. Our special issue will foster the development of the field by focusing excellent research on emotion models for long-term behavior analysis. The topics of interest for this special issue include, but are not limited to: - New theories and findings on continuous emotion recognition - Multi- and Cross-modal emotion perception and interpretation - Lifelong affect analysis, perception, and interpretation - Novel neural network models for affective processing - New neuroscientific and psychological findings on continuous emotion representation - Embodied artificial agents for empathy and emotion appraisal - Machine learning for affect-driven interventions - Socially intelligent human-robot interaction - Personalized systems for human affect recognition III. Submission Prospective authors are invited to submit their manuscripts electronically, adhering to the IEEE Transactions on Affective Computing guidelines ( https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165369). Please submit your papers through the online system ( https://mc.manuscriptcentral.com/taffc-cs) and be sure to select the special issue: Special Issue/Section on Automated Perception of Human Affect from Longitudinal Behavioral Data. IV. IMPORTANT DATES: Submissions Deadline: 15th of February 2019 V. Guest Editors Pablo Barros, University of Hamburg, Germany Stefan Wermter, University of Hamburg, Germany Ognjen (Oggi) Rudovic, Massachusetts Institute of Technology, United States of America Hatice Gunes, University of Cambridge, United Kingdom -- 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 stefano.rovetta at unige.it Tue Jan 8 06:48:27 2019 From: stefano.rovetta at unige.it (Stefano Rovetta) Date: Tue, 8 Jan 2019 12:48:27 +0100 Subject: Connectionists: CFP: Evolving and adaptive fuzzy models for data streams @EUSFLAT2019 In-Reply-To: References: Message-ID: <926a38bd-8c7a-e538-69d5-a6bb7677fc8d@unige.it> *** CALL FOR PAPERS *** Evolving and adaptive fuzzy models for data streams Deadline February 1st, 2019 https://sites.google.com/view/fuzzystreams Special session at EUSFLAT2019, September 9-13, 2019 - Prague http://eusflat2019.cz/ Scope Nowadays a wide range of real-world scenarios yield data streams, i.e. collections of data being generated continuously either over time or over space. E-commerce and banking transactions, weather forecasting recordings and sensor data, customer reports and network traffic records are common examples of data streams produced every day. Accordingly there is an urgent need of methods capable to handle and analyze streams of data that are usually vast in volume (or possibly infinite), high-dimensional and changing dynamically. Analysis of data streams requires models that are specifically designed to adapt continuously and automatically to smooth evolutions (drifts) and abrupt changes (shifts) in the data distribution. Evolving intelligent systems (EIS) is an emerging field that focuses on adaptive evolving models in soft computing. The main objective of this special session is to discuss the potential of fuzzy techniques to develop EIS for prediction and classification tasks in challenging scenarios involving data streams. Topics The special session is intended to collect novel ideas and share different experiences in the field of evolving fuzzy models for data streams. Submission of papers covering theoretical and application aspects of evolving fuzzy models are encouraged. Possible topics include (but are not limited to): - Learning in non-stationary environments - Online/incremental fuzzy clustering - Fuzzy techniques for data stream mining - Evolving Fuzzy Systems - Evolving Rule-Based Classifiers - Evolving Neuro-Fuzzy Systems - Adaptive Evolving Fuzzy Systems - Online Genetic and Evolutionary Algorithms - Adaptive Pattern Recognition - Incremental and Evolving Fuzzy ML Classifiers - Big Data analysis through Fuzzy techniques Important dates Paper submission deadline: February 1, 2019 Notification of acceptance: April 1, 2019 Please submit your manuscript according to the general instructions for authors for EUSFLAT 2019, http://eusflat2019.cz/submission.html Submissions to EUSFLAT2019 can be either for a full papers, to be included in the proceedings (indexed book), or for a 1-page abstract, which will appear in the book of abstracts (with ISBN). Accordingly, in the first submission step please choose either of the two tracks "Full papers in proceedings" or "Book of Abstracts". Then in the second step choose the special session "Evolving and adaptive fuzzy models for data streams". Organizers Giovanna Castellano, giovanna.castellano at uniba.it Dept. of Computer Science - University of Bari Aldo Moro, Italy Stefano Rovetta, stefano.rovetta at unige.it Dept. of Informatics, Bioengineering, Robotics and Systems Engineering University of Genova, Italy Zied Mnasri, zied.mnasri at enit.utm.tn University of Tunis El Manar, Tunisia From Tom.Verguts at UGent.be Tue Jan 8 03:37:50 2019 From: Tom.Verguts at UGent.be (Tom Verguts) Date: Tue, 8 Jan 2019 08:37:50 +0000 Subject: Connectionists: PhD positions Message-ID: <1B26D82B-F2ED-4F18-AA2F-ACA24CEF18CE@ugent.be> Dear colleagues, We are looking for one full-time PhD student position at Ghent University, and one full-time PhD student position based at Ghent University and Vrije Universiteit Brussel. Please find more information below, or at https://cogcomneurosci.com/67-2/. Kind regards, Senne Braem, Kobe Desender, Elise Lesage, and Tom Verguts Both positions are for four years (provided positive periodic evaluation), preferably starting Oct 2019 or earlier. Salary is according to standard Belgian regulations for PhD students (starting at around ?2000 per month net salary). Candidates should have a Master?s degree in a relevant domain such as Psychology, Cognitive Neuroscience, or Computer Science. ? The role of confidence and urgency in deciding to stop sampling information Do I have enough information to decide, or should I sample more information to commit to a choice? This PhD project addresses such decisions, and how humans shift the point of commitment based on how sure they are (confidence) and how important it is to make a quick decision (urgency). This PhD project will investigate how confidence and sense of urgency influence these decisions, with a novel computational model and experimental task, using neuroimaging and neurostimulation techniques. Candidates are expected to carry out empirical work combining EEG, TMS, and computational modeling. Expertise in these methods is not required, but strong interest in cognitive neuroscience, data analysis, and computer programming are. The main supervisor is Tom Verguts (UGent) and co-supervisors are Kobe Desender (UGent/UKE Hamburg) and Elise Lesage (UGent). To apply, please send a CV (including two email addresses of academic referees) and motivation letter to Tom Verguts (tom.verguts at ugent.be), Kobe Desender (kobe.desender at ugent.be), or Elise Lesage (elise.lesage at ugent.be), or feel free to sample more information about the project or details about the position by mailing us. Applications will be considered until the position is filled. ? A model-based approach to study transfer in decision making and cognitive control Many psychologists have wondered whether cognitive control can be trained, but several training studies have been unsuccessful. In this PhD project, we will develop a model-based cognitive training paradigm using a well-studied cognitive process model of learning and decision making. By manipulating specific model parameters while subjects perform cognitive control tasks, we will test whether training induces transfer of these parameter settings across tasks. Using this approach, we will also investigate whether similarities in neural pattern activation (i.e., voxel patterns) can predict transfer, to unravel the neural substrates of these potentially generalizable control processes. Candidates are expected to carry out empirical work combining behavioral studies, fMRI, and computational modeling. Expertise in these methods is not required, but strong interest in cognitive neuroscience, data analysis, and computer programming are. This is a PhD project at Ghent University and at Vrije Universiteit Brussel; the supervisors are Tom Verguts (UGent) and Senne Braem (VUB). To apply, please send a CV (including two email addresses of academic referees) and motivation letter to Tom Verguts (tom.verguts at ugent.be) or Senne Braem (senne.braem at vub.be), or let us know if you want any further information about the project or details about the position. Applications will be considered until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From martin.butz at uni-tuebingen.de Tue Jan 8 03:52:54 2019 From: martin.butz at uni-tuebingen.de (Martin Butz) Date: Tue, 8 Jan 2019 09:52:54 +0100 Subject: Connectionists: Call for Symposia in Cognitive Science (Kognitionswissenschaft) Message-ID: *Ausschreibung einer finanziellen Unterst?tzung zur Durchf?hrung* *eines ?Promovierenden-Symposiums f?r Kognitionswissenschaft?* *mit einem selbst zu w?hlenden thematischen Schwerpunkt, durchzuf?hren im Fr?hjahr 2020* F?r die Vorsitzenden der GKev:Prof. Dr. Albert Newen, Prof. Dr. Barbara Kaup Die Gesellschaft f?r Kognitionswissenschaft hat es sich um Ziel gesetzt, die Vernetzung der Promovierenden im Bereich der Kognitionswissenschaft in Deutschland zu f?rdern. Im Vordergrund steht dabei das Anliegen, den Promovierenden der Kognitionswissenschaft mehr M?glichkeiten zum aktiven Austausch zu geben, insbesondere was den Austausch ?ber die Grenzen von Disziplinen und ?ber die Grenzen bestimmter methodischer Zug?nge hinweg betrifft. Durch eine solche Vernetzung der Promovierenden der Kognitionswissenschaft soll zum einen die interdisziplin?re kognitionswissenschaftliche Forschung in Deutschland gest?rkt werden und zum anderen auch die Kooperationen zwischen den verschiedenen kognitionswissenschaftlichen Standorten in Deutschland ausgebaut werden. Insgesamt erhofft sich die Gesellschaft f?r Kognitionswissenschaft dadurch eine Erh?hung der Sichtbarkeit der kognitionswissenschaftlichen Forschung in Deutschland. Das hier ausgeschriebene Promovierenden-Symposium stellt einen ersten Schritt zur Umsetzung dieser Ziele dar. Ggf. sollen entsprechende Promovierenden Symposien in Zukunft regelm??ig stattfinden. Angedacht ist derzeit solche Promovierenden-Symposien k?nftig jeweils f?r das Kalenderjahr auszuschreiben, in dem keine Fachtagung der Gesellschaft f?r Kognitionswissenschaft stattfindet, in deren Rahmen es ja ohnehin M?glichkeiten zum Austausch zwischen Promovierenden gibt. *Finanzielle Unterst?tzung:*jeweils bis zu 5.000 Euro f?r das beste Konzept. Das Budget kann f?r Reisekosten, ?bernachtungskosten und Hilfskraftkosten verwendet werden. Nicht vorgesehen ist eine ?bernahme von Kosten f?r Bewirtungen oder Raumkosten. Es wird erwartet, dass ein lokaler Zuschuss bereitgestellt wird und dass die Teilnahmegeb?hr mit maximal 25 Euro pro TeilnehmerIn wenn ?berhaupt gering ausf?llt. Die ?berweisung erfolgt auf der Basis von nachgewiesenen Ausgaben. *Rahmenbedingungen zur Durchf?hrung: * Dauer: mindestens 2 volle Tage (idealerweise 2,5 Tage) Zeitraum der Durchf?hrung: Februar bis Mai 2020 Fachsprache beim Symposium (f?r alle Fachdiskussionen): Englisch *Bewerbungsbedingungen* Erwartet wird ein Konzept, welches aus finanzieller Sicht transparent und realistisch durchf?hrbar ist. Ein eingeplanter Eigenanteil muss durch die Erkl?rung eines mit antragstellenden Inhabers/-in einer Professur als sicher f?r dieses Projekt verf?gbar ausgewiesen werden. Zudem m?ssen Teilnahmegeb?hren im Antrag kenntlich gemacht werden, falls diese nicht vermeidbar sind. Konzepte, die ohne oder mit geringen Teilnahmegeb?hren auskommen, haben dadurch einen Vorteil in der Bewerbung. Es ist zudem ein aktuelles Schwerpunktthema zu w?hlen, welches sich mit mindestens zwei methodischen Zug?ngen gut bearbeiten l?sst. Zudem wird ein innovatives Strukturkonzept erwartet, welches deutlich macht, in welcher Weise sich die Teilnehmer mit Vortrags-, Poster- oder Diskussionsm?glichkeiten intensiv einbringen k?nnen. Das strukturelle Konzept ist ein weiterer wichtiger Faktor f?r die Auswahl. _Erwartete Dokumente (in deutscher oder englischer Sprache): _ 1)Inhaltliche Konzeption (max. 2 Seiten) 2)Strukturelle Gestaltung der School mit Blick auf F?rderung und Vernetzung von Promovierenden in der Kognitionswissenschaft (max. 2 Seiten) 3)Finanzplan, ggf. mit Ausweis von Teilnehmergeb?hren und Eigenanteil (Wichtiger Hinweis: Erh?hung oder Einf?hrung von Teilnahmegeb?hren nach Bewilligung des Antrags werden nicht akzeptiert. Der Anspruch auf die Auszahlung geht dann verloren, weil die Bewilligungsbedingungen nicht eingehalten werden) (max. 1 Seite) 4)Erkl?rung einer Professorin oder eines Professors, dass die finanzielle Gesamtverantwortung zur Durchf?hrung des Symposiums ?bernommen wird. *Bewerberteam:* An der Bewerbung beteiligen sich eine Gruppe von mindestens drei DoktorandInnen aus mindestens zwei fachlich/methodisch verschieden arbeitenden Instituten. Das Bewerberteam soll maximal aus f?nf Personen bestehen. *Bewerbungsfrist und Einreichung: *Die Bewerbung ist bis zum 28. Februar 2019 einzureichen unter beiden Emails: barbara.kaup at uni-tuebingen.de und sekretariat-newen at rub.de *Entscheidung:* Der Vorstand der Gesellschaft f?r Kognitionswissenschaft entscheidet bis zum 31. M?rz 2019 ?ber die eingegangenen Antr?ge. -- Prof. Dr. Martin V. Butz Computer Science, Cognitive Modeling Raum C418 - Sand 14 -- Eberhard Karls Universit?t T?bingen Sand 14 ? 72076 T?bingen ? Germany Phone +49 7071 29-70429 ? Fax +49 7071 29-5719 martin.butz at uni-tuebingen.de http://cm.inf.uni-tuebingen.de/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5385 bytes Desc: S/MIME Cryptographic Signature URL: From triesch at fias.uni-frankfurt.de Tue Jan 8 08:04:56 2019 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Tue, 8 Jan 2019 14:04:56 +0100 Subject: Connectionists: Call for Applications: Summer School on Intrinsically Motivated Open-Ended Learning (IMOL): June 27 - July 3 Message-ID: <050B1FF8-F5F9-49A7-A65C-774A7DE5D20D@fias.uni-frankfurt.de> We invite applications from PhD students and post-docs to participate in our summer school: "Intrinsically Motivated Open-Ended Learning (IMOL)" Place: Frankfurt Institute for Advanced Studies, Germany Dates: June 27 to July 3, 2019 Web: http://www.goal-robots.eu/announcements/events/summer-school-2019-2/ *Participation is free of charge, but participants must cover their own travel and lodging.* Topics will include: - Intrinsic Motivations - Architectures for open-ended learning - Deep reinforcement learning - Multi-task reinforcement learning - Curriculum learning - Goal self-generation - Goal-based skill learning - Modularity and hierarchies - Ethics of open-ended learning List of confirmed speakers (more to be added): Gianluca Baldassarre (organizer) Marc Bellemare Luc Berthouze Stephane Doncieux Kenji Doya Petar Kormushev Georg Martius Kathryn Merrick (organizer) Yukie Nagai Nicolas Navarro-Guerrero Kevin O'Regan Daniel Polani Elmar Rueckert Vieri Giuliano Santucci (organizer) Bertram E. Shi C?line Teuli?re Jochen Triesch (organizer) How to Apply: 1. Prepare a letter of intent and CV (single PDF) 2. Arrange for a letter for recommendation to be sent by your supervisor Both should be sent to: triesch at fias.uni-frankfurt.de by January 27th, 2019. The school is organized with funding from the European GOAL-Robots project: http://www.goal-robots.eu Happy learning, Jochen Triesch -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From avellido at cs.upc.edu Tue Jan 8 10:13:00 2019 From: avellido at cs.upc.edu (Alfredo Vellido) Date: Tue, 8 Jan 2019 16:13:00 +0100 Subject: Connectionists: WSOM+ 2019: Deadline approaching In-Reply-To: <3438e976-3a7e-30f6-91cf-8204fe3d2777@cs.upc.edu> References: <3438e976-3a7e-30f6-91cf-8204fe3d2777@cs.upc.edu> Message-ID: <1ea8613a-4169-a394-08b5-20b00364716d@cs.upc.edu> Apologies for cross posting. Please forward to colleagues and students who might be interested. DEADLINE APPROACHING for paper submission: January 20, 2019 ************ WSOM+ 2019 ************ 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization Barcelona, Spain, 26-28 June 2019 https://wsom2019.cs.upc.edu SUBMISSION: https://easychair.org/conferences/?conf=wsom2019 Confirmed invited speakers: Paulo Lisboa (Liverpool John Moores University, U.K.) Tobias Schreck (Graz University of Technology, Austria) A?da Valls (Universitat Rovira i Virgili, Spain) Alessandro Sperduti (Universit? degli Studi di Padova, Italy) Confirmed sponsors (sponsored student registration fees and awards): LumenAI (www.lumenai.fr) Amalfi Analytics (www.amalfianalytics.com) Connecthink (connecthink.pro) === CFP === WSOM+ invites contributions related to the theoretical and methodological aspects of Unsupervised Learning, Self-Organizing Maps, Learning Vector Quantization, Clustering, Data Visualization and closely related topics. We also call for and encourage scientific and application-oriented papers that demonstrate the use of the aforementioned methods and models in fields of knowledge. For the full CFP and further details on dates, submission, registration, venue, committees, and the city at large, please visit https://wsom2019.cs.upc.edu The WSOM+ 2019 proceedings will be published as a book in Springer?s Advances in Intelligent Systems and Computing (AISC) series. Barcelona awaits your participation in the 13th WSOM+ conference! This is a welcoming and inclusive city, home to thriving Machine Learning and Computational Intelligence communities. Hosted by the Intelligent Data Engineering and Artificial Intelligence (IDEAI) Research Center at Universitat Polit?cnica de Catalunya (UPC BarcelonaTech), WSOM+ 2019 aims to build on a successful string of editions that started more than two decades ago with WSOM?97 in Helsinki. The conference is meant to be an international reference for research in unsupervised learning, self-organizing systems, Learning Vector Quantization and data visualization. Submit your contributions to WSOM+2019 and meet us in the Barcelona summer! ************ WSOM+ 2019 ************ Organizing Committee Alfredo Vellido, Chair (IDEAI, UPC BarcelonaTech) Karina Gibert (IDEAI, UPC BarcelonaTech) Cecilio Angulo (IDEAI, UPC BarcelonaTech) Jos? David Mart?n (Universitat de Val?ncia) Steering Committee: Teuvo Kohonen (Honorary Chairman, Finland) Marie Cottrell (France) Pablo Estevez (Chile) Timo Honkela (Finland) Jean Charles Lamirel (France) Thomas Martinetz (Germany) Erzsebet Merenyi (USA) Madalina Olteanu (France) Michel Verleysen (Belgium) Thomas Villmann (Germany) Takeshi Yamakawa (Japan) Hujun Yin (UK) From pel at gatsby.ucl.ac.uk Tue Jan 8 09:49:23 2019 From: pel at gatsby.ucl.ac.uk (Peter Latham) Date: Tue, 8 Jan 2019 14:49:23 +0000 (GMT) Subject: Connectionists: Postdoc position in computational neuroscience at the Gatsby Unit Message-ID: The Gatsby Computational Neuroscience Unit, a world-class centre for theoretical neuroscience and machine learning, invites applications for one or more postdoctoral training fellowships in theoretical neuroscience. We are looking especially for someone with an interest and/or background in synaptic plasticity and learning. Candidates should have a very strong analytical background in physics, mathematics, statistics, or machine learning, with an emphasis on the use of Bayesian methods in neuroscience, a detailed knowledge and understanding of the literature, and a publication record in highly ranked conferences and journals. Candidates must also have a PhD in a relevant subject area by the agreed start date of the position. Training fellowships are funded by the Wellcome Trust, and are part of a continuing program of training postdoctoral researchers. The position is available for an initial period of two years, and may be renewed to a maximum of three years. To apply, go to http://www.gatsby.ucl.ac.uk/vacancies/index.html and click on Research Fellow (Training Fellowship in Theoretical Neuroscience or Machine Learning) Please be sure to attach to your online application a copy of your CV, statement of research interests, and full contact details (including e-mail addresses) of three academic referees. CVs should include education history, details of current or most recent position, and details of previous employment or fellowships. For further details of our research, go to http://www.gatsby.ucl.ac.uk/research.html Questions should be directed to Peter Latham, pel at gatsby.ucl.ac.uk From luca.oneto at unige.it Tue Jan 8 10:08:32 2019 From: luca.oneto at unige.it (Luca Oneto) Date: Tue, 8 Jan 2019 16:08:32 +0100 Subject: Connectionists: [INNS-BDDL 2019] - Registration Now Open Message-ID: [Apologies if you receive multiple copies of this email] The registration are now open for INNSBDDDL2019 https://innsbddl2019.org/registration/ Please check the website for the details about the conference https://innsbddl2019.org Best Regards. --Luca Oneto (General Chair) ----------------------------------------------------------------------------------- Luca Oneto, PhD University of Genoa web: www.lucaoneto.com DIBRIS Department e-mail: Luca.Oneto at unige.it SmartLab Laboratory e-mail: Luca.Oneto at gmail.com Via Opera Pia 11a Fax: +39-010-3532897 16145 Genoa ITALY Phone: +39-010-3532192 www.smartlab.ws ----------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From florian at coneural.org Tue Jan 8 13:15:38 2019 From: florian at coneural.org (=?UTF-8?Q?R=c4=83zvan_Florian?=) Date: Tue, 8 Jan 2019 20:15:38 +0200 Subject: Connectionists: Three research associate positions in machine learning / deep learning: generative models; curiosity-driven learning; program synthesis Message-ID: <0297a05a-2b2d-f574-05a6-4c99949d9c7f@coneural.org> Three research associate positions in machine learning / deep learning are available within a EU-funded project. The positions are offered for about 2 years (until December 2020). Applications will be assessed on a rolling basis and the starting date may be as soon as the selected candidates are available. The positions correspond to one or more of the following topics: 1. Studying generative models, autoencoders or compressors for data with long-range or hierarchical structure, in particular: a) web pages (HTML / CSS code), and b) sensorimotor data ? vectors of perceptions and actions recorded over extended timeframes. 2. Studying curiosity-driven learning, deep reinforcement learning, hierarchical reinforcement learning and meta-learning for: a) tasks typically used as benchmarks in the field, such simulators or games; or b) artificial intelligent agents that interact directly with a computer, for example generating HTML / CSS code, or more general software. 3. Studying new approaches to program synthesis that may integrate machine learning / deep learning, reinforcement learning, evolutionary methods, and classical approaches. 4. Applied research on machine learning systems that are trained on large repositories of web pages and learn to generate HTML / CSS or similar code. This should lead to systems that automatically upgrade websites or to systems that learn to generate web pages with a state-of-the-art design conditioned on mockups drawn by clients. We are looking for self-motivated, independent, creative scientists, with strong analytical and computational modeling skills. A PhD is preferred but we also accept candidates with a Master degree and research experience proven by scientific publications or relevant completed projects. Candidates could have a background in machine learning, physics, computer science, robotics, engineering, computational neuroscience or related fields. We welcome candidates with no prior experience in machine learning but with a strong publication record. Programming skills are required. The positions are part of the Deep Computational Intelligence group, led by R?zvan Valentin Florian, at the Romanian Institute of Science and Technology (RIST) in Cluj, Romania. The gross salary is about 2,700-3,600 euros per month (net salary: 1,800-2,300 euros) for PhDs and 2,000-2,700 euros per month (net salary: 1,300-1,800 euros) for persons with no PhD, depending on experience. The cost of living in Cluj is significantly lower than in Western Europe or the USA. The working language is English. Cluj, the main city of Transylvania, hosts Romania?s largest university and boasts a strong, rapidly developing IT industry. Cluj is Europe?s friendliest city for foreigners, according to a study by the UK Office of National Statistics. Romania ranks higher than Switzerland, Sweden and USA in the Internations top expat destinations of 2018. About 1100 French citizens, 800 Italian citizens and 500 German citizens live in Cluj. People living in Cluj are more satisfied with their city than those living in London, Paris, Berlin, Amsterdam, Madrid, Barcelona or Rome, according to a survey of the European Commission. Cluj has an international airport with flights to more than 30 European destinations. To apply, send to dci at rist.ro your CV, including a list of publications (indicating your 3 most representative publications, if you have more than this) and the names and contact details of at least two references. Please mention the topics you are interested in. For more information, please see https://rist.ro/research-associate-positions-machine-learning-deep-learning/ From irina.illina at loria.fr Tue Jan 8 16:26:21 2019 From: irina.illina at loria.fr (Irina Illina) Date: Tue, 8 Jan 2019 22:26:21 +0100 (CET) Subject: Connectionists: Research engineer or post-doc position in Natural Language Processing (LORIA, France) In-Reply-To: <1591960117.9505381.1544689678607.JavaMail.zimbra@loria.fr> References: <563224855.15324328.1541364984538.JavaMail.zimbra@loria.fr> <1591960117.9505381.1544689678607.JavaMail.zimbra@loria.fr> Message-ID: <1135471683.15585849.1546982781497.JavaMail.zimbra@loria.fr> Research engineer or post-doc position in Natural Language Processing: Introduction of semantic information in a speech recognition system Supervisors: Irina Illina, MdC, Dominique Fohr, CR CNRS Team: Multispeech, LORIA-INRIA (https://team.inria.fr/multispeech/) Contact: illina at loria.fr, dominique.fohr at loria.fr Duration: 12-18 months Deadline to apply : January 30th, 2019 Required skills: Strong background in mathematics, machine learning (DNN), statistics, natural language processing and computer program skills (Perl, Python). Following profiles are welcome, either: ? Strong background in signal processing or ? Strong experience with natural language processing Excellent English writing and speaking skills are required in any case. Candidates should email a detailed CV with diploma LORIA is the French acronym for the ?Lorraine Research Laboratory in Computer Science and its Applications? and is a research unit (UMR 7503), common to [ http://www.cnrs.fr/index.php | CNRS ] , the [ http://vers.univ-lorraine.fr/ | University of Lorraine ] and [ http://www.inria.fr/en/ | INRIA ] . This unit was officially created in 1997. Loria?s missions mainly deal with fundamental and applied research in computer sciences. MULTISPEECH is a joint research team between the Universit? of Lorraine, Inria, and CNRS. Its research focuses on speech processing, with particular emphasis to multisource (source separation, robust speech recognition), multilingual (computer assisted language learning), and multimodal aspects (audiovisual synthesis). Context and objectives Under noisy conditions, audio acquisition is one of the toughest challenges to have a successful automatic speech recognition (ASR). Much of the success relies on the ability to attenuate ambient noise in the signal and to take it into account in the acoustic model used by the ASR. Our DNN (Deep Neural Network) denoising system and our approach to exploiting uncertainties have shown their combined effectiveness against noisy speech. The ASR stage will be supplemented by a semantic analysis. Predictive representations using continuous vectors have been shown to capture the semantic characteristics of words and their context, and to overcome representations based on counting words. Semantic analysis will be performed by combining predictive representations using continuous vectors and uncertainty on denoising. This combination will be done by the rescoring component. All our models will be based on the powerful technologies of DNN. The performances of the various modules will be evaluated on artificially noisy speech signals and on real noisy data. At the end, a demonstrator, integrating all the modules, will be set up. Main activities ? study and implementation of a noisy speech enhancement module and a propagation of uncertainty module; ? design a semantic analysis module; ? design a module taking into account the semantic and uncertainty information. References [Nathwani et al ., 2018] Nathwani, K., Vincent, E., and Illina, I. DNN uncertainty propagation using GMM-derived uncertainty features for noise robust ASR, IEEE Signal Processing Letters , 2018. [Nathwani et al ., 2017] Nathwani, K., Vincent, E., and Illina, I. Consistent DNN uncertainty training and decoding for robust ASR, in Proc. IEEE Automatic Speech Recognition and Understanding Workshop , 2017. [Nugraha et al., 2016] Nugraha, A., Liutkus, A., Vincent E. Multichannel audio source separation with deep neural networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing , 2016. [Sheikh, 2016] Sheikh, I. Exploitation du contexte s?mantique pour am?liorer la reconnaissance des noms propres dans les documents audio diachroniques?, These de doctorat en Informatique, Universit? de Lorraine, 2016. [Sheikh et al., 2016] Sheikh, I. Illina, I. Fohr, D. Linares, G. Learning word importance with the neural bag-of-words model, in Proc. ACL Representation Learning for NLP (Repl4NLP) Workshop, Aug 2016. [Mikolov et al., 2013a] Mikolov, T. Chen, K., Corrado, G., and Dean, J. Efficient estimation of word representations in vector space, CoRR , vol. abs/1301.3781, 2013. -- Associate Professor Lorraine University LORIA-INRIA office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -- Associate Professor Lorraine University LORIA-INRIA office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkordjam at tulane.edu Tue Jan 8 15:10:47 2019 From: pkordjam at tulane.edu (Kordjamshidi, Parisa) Date: Tue, 8 Jan 2019 20:10:47 +0000 Subject: Connectionists: [CFP] Combined Workshop on Spatial Language Understanding (SpLU) & Grounded Communication for Robotics (RoboNLP) @NAACL-HLT 2019 Message-ID: CALL FOR PAPERS ---------------------------------------------------------------- Combined Workshop on Spatial Language Understanding (SpLU) & Grounded Communication for Robotics (RoboNLP) NAACL-HLT 2019, June 6 or 7, Minneapolis, USA. Website: https://splu-robonlp.github.io --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- SpLU-RoboNLP 2019 is a combined workshop on spatial language understanding (SpLU) and grounded communication for robotics (RoboNLP) that focuses on spatial language, both linguistic and theoretical aspects, and its application to various areas including and especially focusing on robotics. The combined workshop aims to bring together members of NLP, robotics, vision, and related communities in order to initiate discussions across fields dealing with spatial language along with other modalities. The desired outcome is identification of both shared and unique challenges, problems and future directions across the fields and various application domains. While language can encode highly complex, relational structures of objects, spatial relations between them, and patterns of motion through space, the community has only scratched the surface on how to encode and reason about spatial semantics. Despite this, spatial language is crucial to robotics, navigation, NLU, translation and more. Standardizing tasks is challenging as we lack formal domain independent meaning representations. Spatial semantics requires an interplay between language, perception and (often) interaction. Following the exciting recent progress in visual language grounding, the embodied, task-oriented aspect of language grounding is an important and timely research direction. To realize the long-term goal of robots that we can converse with in our homes, offices, hospitals, and warehouses, it is essential that we develop new techniques for linking language to action in the real world, where spatial language understanding is essential. Can we give instructions to robotic agents to assist with navigation and manipulation tasks in remote settings? Can we talk to robots about the surrounding visual world, and help them interactively learn the language needed to finish a task? We hope to learn about (and begin to answer) these questions as we delve deeper into spatial language understanding and grounding language for robotics. ---------------------------------------------------------------- TOPICS OF INTEREST ---------------------------------------------------------------- The major topics covered in the workshop include: 1. Spatial Language Meaning Representation (Continuous, Symbolic) 2. Spatial Language Learning and Reasoning 3. Multimodal Spatial Understanding 4. Instruction Following (real or simulated) 5. Grounded or Embodied tasks 6. Datasets and evaluation metrics For a full description and subtopics, please look at the workshop website at https://splu-robonlp.github.io/ ---------------------------------------------------------------- IMPORTANT DATES ---------------------------------------------------------------- * Submission Deadline: March 6th, 2019 * Notification: March 27th, 2019 * Camera Ready deadline: April 5th, 2019 * Workshop Day: June 6th or 7th, 2019 ---------------------------------------------------------------- SUBMISSION AND SELECTION PROCESS ---------------------------------------------------------------- Submission details We encourage contributions with technical papers (NAACL style, 8 pages without references) or position statements (NAACL style, 4 pages maximum) describing previously unpublished work. NAACL Style files are available here. Please make submissions via Softconf here. Best Papers The SpLU-RoboNLP 2019 expert program committee will select the best paper for an award. --------------------------------------------------------------- INVITED SPEAKERS ---------------------------------------------------------------- * Joyce Chai, Michigan State University (confirmed) * Dhruv Batra, GaTech/FAIR (to be confirmed) * Mary Ellen Foster, Glasgow University (to be confirmed) * Dilek Hakkani-Tur, Amazon (to be confirmed) * Cynthia Matuszek, UMBC (to be confirmed) * Raymond J. Mooney, UT Austin (to be confirmed) * Matthias Scheutz, Tufts (to be confirmed) * Stefanie Tellex, Brown (to be confirmed) * Andrea Thomaz, UT Austin (to be confirmed) * David Traum, USC (to be confirmed) --------------------------------------------------------------- PROGRAM COMMITTEE ---------------------------------------------------------------- Yoav Artzi Cornell University Jacob Arkin Univ of Rochester Jason Baldridge Google Inc. Mountain View CA John A. Bateman Universit?t Bremen Mehul Bhatt ?rebro University Jonathan Berant Tel-Aviv University Raffaella Bernardi University of Trento Steven Bethard University of Arizona Yonatan Bisk University of Washington Johan Bos University of Groningen Kalesha Bullard Georgia Tech Volkan Cirik CMU Guillem Collell KU Leuven Joyce Chai Michigan State University Simon Dobnik CLASP and FLOV, University of Gothenburg Ekaterina Egorova University of Zurich Zoe Falomir Universit?t Bremen Daniel Fried UCSF Lucian Galescu IHMC Felix Gervits Tufts Hannaneh Hajishirzi University of Washington Matthew Hausknecht University of Texas Julia Hockenmaier University of Illinois at Urbana-Champaign Casey Kennington Boise State University Jayant Krishnamurthy Semantic Machines Stephanie Lukin Army Research Laboratory Bruno Martins University of Lisbon Chris Mavrogiannis Cornell Hongyuan Mei Johns Hopkins Dipendra Misra Cornell University Ray Mooney University of Texas Srini Narayanan Google Inc. Mountain View CA Mari Broman Olsen Microsoft Martijn van Otterlo Vrije Universiteit Amsterdam Aishwarya Padmakumar UT Austin Natalie Parde University of Illinois Chicago Ian Perera IHMC Preeti Ramaraj University of Michigan Siva Reddy Stanford Kirk Roberts The University of Texas Health Anna Rohrbach UC Berkeley Marcus Rohrbach FAIR Manolis Savva Princeton University Jivko Sinapov Tufts Kristin Stock Massey University of New Zealand Alane Suhr Cornell Clare Voss ARL Matt Walter TTI-C Tom Williams University of Bristol Mark Yatskar Allen Institute Shiqi Zhang SUNY Binghamton Victor Zhong University of Washington ---------------------------------------------------------------- ORGANIZING COMMITTEE ---------------------------------------------------------------- James F. Allen University of Rochester, IHMC jallen at ihmc.us Jacob Andreas Semantic Machines/MIT jda at cs.berkeley.edu Jason Baldridge Google jasonbaldridge at google.com Mohit Bansal UNC Chapel Hill mbansal at cs.unc.edu Archna Bhatia (Co-chair) IHMC abhatia at ihmc.us Yonatan Bisk Univ of Washington ybisk at yonatanbisk.com Asli Celikyilmaz Microsoft Research asli.ca at live.com Bonnie J. Dorr IHMC bdorr at ihmc.us Parisa Kordjamshidi (Chair) Tulane University, IHMC pkordjam at tulane.edu Matthew Marge Army Research Lab matthew.r.marge.civ at mail.mil Jesse Thomason Univ of Washington thomason.jesse at gmail.com ---------------------------------------------------------------- CONTACT ---------------------------------------------------------------- Feel free to contact Organizing Committee at splu-robonlp-2019 at googlegroups.com ------------------------------------------- Kordjamshidi, Parisa Assistant Professor CS Department at Tulane University Research Scientist at IHMC Homepage -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Tue Jan 8 11:36:14 2019 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 8 Jan 2019 16:36:14 +0000 Subject: Connectionists: CfP, 6th International Synthetic & Systems Biology Summer School - SSBSS 2019, Scuola Normale Superiore di Pisa, Tuscany, Italy July 22-26 Message-ID: 6th International Synthetic & Systems Biology Summer School - SSBSS 2019 July 22-26, 2019 - Certosa di Pontignano - Siena - Tuscany - Italy https://ssbss2019.icas.xyz ssbss at icas.xyz * Our sincere apologies if you receive multiple copies of this announcement * * Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for SSBSS 2019. Together we will make SSBSS 2019 a great event! * The Synthetic and Systems Biology Summer School (SSBSS) is a full-immersion five-day residential summer school at the Robinson College - University of Cambridge - UK on cutting-edge advances in systems and synthetic biology with lectures delivered by world-renowned experts. The school provides a stimulating environment for students (from Master students to PhD students), Post-Docs, early career researches, academics and industry leaders. Participants will also have the chance to present their results (with Oral Talks and Posters), and to interact with their peers, in a friendly and constructive environment. DEADLINES: Application: March 31, 2019 Oral Presentation/Poster Submission: March 31, 2019 Notification of Decision for Oral/Poster Presentation: April 28, 2019 https://ssbss2019.icas.xyz/registration/ SPEAKERS & TOPICS: * ADAM ARKIN, University of California, Berkeley, USA Topics: Systems & Synthetic Biology & Microbiology/Virology * ANDREA CALIFANO, Columbia University, USA Topics: Systems Biology, Cell Regulatory Networks, Cancer tumorigenesis & Drug Resistance * JASON CHIN, MRC Laboratory of Molecular Biology, Cambridge, UK Topics: Genetic Code Reprogramming * VIRGINIA CORNISH, Columbia University, USA Topics: Synthetic Biology, Chemical Complementation & Ribosome Chemistry * JOHN GLASS, J. Craig Venter Institute, USA Topics: Minimal Cell, Building and engineering of genomes and chromosomes * KAREN POLIZZI, Imperial College London, UK Topics: Synthetic Biology & In Vivo Biosensors * WILLIAM SHIH, Harvard Medical School, USA Topics: Design principles for self-assembling molecular machines * JOERG STELLING, ETH Zurich, Switzerland Topics: Computational Systems Biology * SARAH TEICHMANN, Wellcome Trust Sanger Institute & EMBL-EBI, UK Topics: Human Cell Atlas * DANIELLE TULLMAN-ERCEK, Northwestern University, USA Topics: Protein Engineering & Synthetic Biology SPEAKERS: * Rodrigo Ledesma-Amaro, Imperial College London, UK More Speakers TBA CALL FOR POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://ssbss2019.icas.xyz/registration/ Early registration deadline: March 31, 2019 See you in Tuscany in July! The SSBSS 2019 Organizing Committee. ssbss at icas.xyz https://ssbss2019.icas.xyz https://www.facebook.com/ssbss.school/ SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/ Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/ * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Tue Jan 8 11:36:14 2019 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 8 Jan 2019 16:36:14 +0000 Subject: Connectionists: CfP, 6th International Synthetic & Systems Biology Summer School - SSBSS 2019, Scuola Normale Superiore di Pisa, Tuscany, Italy July 22-26 Message-ID: 6th International Synthetic & Systems Biology Summer School - SSBSS 2019 July 22-26, 2019 - Certosa di Pontignano - Siena - Tuscany - Italy https://ssbss2019.icas.xyz ssbss at icas.xyz * Our sincere apologies if you receive multiple copies of this announcement * * Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for SSBSS 2019. Together we will make SSBSS 2019 a great event! * The Synthetic and Systems Biology Summer School (SSBSS) is a full-immersion five-day residential summer school at the Robinson College - University of Cambridge - UK on cutting-edge advances in systems and synthetic biology with lectures delivered by world-renowned experts. The school provides a stimulating environment for students (from Master students to PhD students), Post-Docs, early career researches, academics and industry leaders. Participants will also have the chance to present their results (with Oral Talks and Posters), and to interact with their peers, in a friendly and constructive environment. DEADLINES: Application: March 31, 2019 Oral Presentation/Poster Submission: March 31, 2019 Notification of Decision for Oral/Poster Presentation: April 28, 2019 https://ssbss2019.icas.xyz/registration/ SPEAKERS & TOPICS: * ADAM ARKIN, University of California, Berkeley, USA Topics: Systems & Synthetic Biology & Microbiology/Virology * ANDREA CALIFANO, Columbia University, USA Topics: Systems Biology, Cell Regulatory Networks, Cancer tumorigenesis & Drug Resistance * JASON CHIN, MRC Laboratory of Molecular Biology, Cambridge, UK Topics: Genetic Code Reprogramming * VIRGINIA CORNISH, Columbia University, USA Topics: Synthetic Biology, Chemical Complementation & Ribosome Chemistry * JOHN GLASS, J. Craig Venter Institute, USA Topics: Minimal Cell, Building and engineering of genomes and chromosomes * KAREN POLIZZI, Imperial College London, UK Topics: Synthetic Biology & In Vivo Biosensors * WILLIAM SHIH, Harvard Medical School, USA Topics: Design principles for self-assembling molecular machines * JOERG STELLING, ETH Zurich, Switzerland Topics: Computational Systems Biology * SARAH TEICHMANN, Wellcome Trust Sanger Institute & EMBL-EBI, UK Topics: Human Cell Atlas * DANIELLE TULLMAN-ERCEK, Northwestern University, USA Topics: Protein Engineering & Synthetic Biology SPEAKERS: * Rodrigo Ledesma-Amaro, Imperial College London, UK More Speakers TBA CALL FOR POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://ssbss2019.icas.xyz/registration/ Early registration deadline: March 31, 2019 See you in Tuscany in July! The SSBSS 2019 Organizing Committee. ssbss at icas.xyz https://ssbss2019.icas.xyz https://www.facebook.com/ssbss.school/ SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/ Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/ * Apologies for multiple copies. Please forward to anybody who might be interested * -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Tue Jan 8 17:14:49 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Tue, 8 Jan 2019 17:14:49 -0500 Subject: Connectionists: Challenge Track at ETRA'19 (11th ACM Symposium on Eye Tracking Research & Applications) In-Reply-To: <002b01d4a79f$59fcded0$0df69c70$@neuralcorrelate.com> References: <002b01d4a79f$59fcded0$0df69c70$@neuralcorrelate.com> Message-ID: <006e01d4a79f$951a3b70$bf4eb250$@neuralcorrelate.com> In 2019, ETRA will host for the first time a Challenge Track. In this opening edition, the Challenge Track will consist of a mining challenge. We call upon interested participants to apply their analytical tools to a common human eye-movement data set. The challenge is for participants to creatively engage their newest and most exciting mining tools and approaches to make the most of these data. Please find detailed information on the ETRA'19 Challenge Track at: https://etra.acm.org/2019/challenge.html Important Dates Papers Due March 15, 2019 Author Notification March 29, 2019 Camera Ready April 5, 2019 Challenge Track Chairs * Susana Martinez-Conde, State University of New York, Downstate Medical Center (Email: smart at neuralcorrelate.com) * Jorge Otero-Millan, Johns Hopkins University (Email: jotero at jhu.edu) We look forward to your participation! -------------------------------------- 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 ludovico.montalcini at gmail.com Wed Jan 9 04:11:34 2019 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Wed, 9 Jan 2019 09:11:34 +0000 Subject: Connectionists: ACDL 2019, Advanced Course on Data Science & Machine Learning - Early Registration March 31 Message-ID: ACDL 2019, Advanced Course on Data Science & Machine Learning An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders ACDL 2019 ? A Unique Experience: Data Science, Machine Learning & AI with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano Certosa di Pontignano, Siena - Tuscany, Italy July 15-19, 2019 https://acdl2019.icas.xyz acdl at icas.xyz ACDL 2018 Sold-out! Probably also ACDL 2019: Early registration deadline: March 31, 2019 https://acdl2019.icas.xyz/registration/ LECTURERS: Each Lecturer will hold three lessons on a specific topic. The Lecturers below are confirmed. Ioannis Antonoglou, Google DeepMind, UK Topic: General Reinforcement Learning Algorithms Marco Gori, University of Siena, Italy Topic: Constraint-Based Approaches to Machine Learning Phillip Isola, MIT, USA Topic: Generative Adversarial Networks Dolores Romero Morales, Copenhagen Business School, Denmark Topic: Big Data Ruslan Salakhutdinov, Carnegie Mellon University & AI Research at Apple, USA Topic: Deep Learning Josh Tenenbaum, MIT, USA Topics: Computational Cognitive Science, probabilistic generative models, and probabilistic programming Naftali Tishby, Hebrew University, Israel Topic: Theory of Deep Learning ? Information Bottleneck Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands Topic: Automatic machine learning Oriol Vinyals, Google DeepMind, UK Topic: Deep Learning & Reinforcement Learning SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. CALL FOR POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2019.icas.xyz/registration/ Early registration deadline: March 31, 2019 VENUE & ACCOMMODATION: The venue of ACDL 2018 will be The Certosa di Pontignano ? Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com http://www.lacertosadipontignano.com/ A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2019.icas.xyz/venue/ ACCOMMODATION: https://acdl2019.icas.xyz/accommodation/ Past Edition - ACDL 2018: https://acdl2018.icas.xyz ACDL 2019 Poster: https://acdl2018.icas.xyz/wp-content/uploads/sites/5/2018/11/poster-ACDL-2018.png REGISTRATION: https://acdl2019.icas.xyz/registration/ We remind you that ACDL 2018 sold out a long time before the registration deadline! Anyone interested in participating in ACDL 2019 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in Tuscany next July! ACDL 2019 Organizing Committee. acdl at icas.xyz https://acdl2019.icas.xyz -------------- next part -------------- An HTML attachment was scrubbed... URL: From lciti at essex.ac.uk Wed Jan 9 12:38:38 2019 From: lciti at essex.ac.uk (Citi, Luca) Date: Wed, 9 Jan 2019 17:38:38 +0000 Subject: Connectionists: Open Post Doc Position on Bayesian Computational Modelling for multimodal social interaction - Deadline 16th Jan Message-ID: <997d724b-321d-984d-caf8-cd18b551fb97@essex.ac.uk> Dear Colleagues, I would be grateful if you could help us spread the word about the following position in the Essex Brain-Computer Interface and Neural Engineering (BCI-NE) Laboratory. Thank you very much, Luca ==================== We are looking for a Post Doctoral Research Associate to collaborate at the development of Bayesian (DCM and Active Inference) computational models of multimodal social interaction taking into account the role of human chemosignals perception. This will involve also the development of robust algorithms for signal processing, statistical inference and extraction of information from EEG and other physiological signals, as well as the design and implementation of software for the execution of experiments with adaptive VR stimulation. ==================== Application closing date 16/01/2019 Application Links https://www.jobs.ac.uk/job/BPI782/senior-research-officer http://www.essex.ac.uk/hr-jobpacks/science_health-csee/REQ02121_Jobpack.pdf Job reference REQ02121 This post is initially for 2.5 years and there is a possibility that it may be extended for a further 2.5 years. ==================== #Job Details The School of Computer Science and Electronic Engineering, the Department of Psychology, and the Essex Brain-Computer Interfaces and Neural Engineering Lab are pleased to announce this postdoctoral position in the Horizon 2020 project "POTION: Promoting social interaction through emotional body odours". The project will last five years and start in January 2019 and includes partners from the Universities of Pisa (Italy), Padova (Italy), and Essex (UK), the Universitat Politecnica De Valencia (Spain), the Katholieke Universiteit Leuven (Belgium), and the Karolinska Institutet (Sweden), and three companies ISPA CRL (Portougal), SRA Instruments (France) and Feel-Ing s.r.l. (Italy). POTION proposes a novel technological paradigm to delve deeper into understanding meaningful social interaction, combining new knowledge about the chemical composition of human social chemosignals together with a novel olfactory-based technology designed to drive social behaviour. #Duties of the Role The Essex team's work on the project focuses on the development of Bayesian (DCM and Active Inference) computational models of multimodal social interaction. This models will be applied to evaluate socially relevant variables, such as trust, presence and inclusion as well as to generate optimal stimuli in artificially mediated social interactions. In particular, the models will cover the role of human chemosignal perception in social interactions. The models will be identified and tested using neurophysiological data (e.g. EEG), peripheral physiological activation (i.e., ECG, RESP, EDA) and behavioural changes (i.e., f-EMG) collected using VR scenarios of increasing complexity. The successful applicant will research and develop Bayesian (DCM and Active Inference) computational models of multimodal social interaction with an emphasis on the role of human chemosignals. They will also develop robust algorithms for signal processing, statistical inference and extraction of information from EEG and other physiological signals, design and implement software for the execution of experiments with VR stimulation, and contribute to the reporting and dissemination of the project. #Skills and qualifications required Applicants are expected to hold a PhD (or be close to completion) in Computational Neuroscience, Brain-computer Interfaces, Neural Engineering, Psychology, Machine Learning, Statistics, Physics, Mathematics, Computer Science or a closely related discipline, or equivalent professional experience or practice. The ideal candidate will have significant experience in computational modelling of social interaction, signal processing, statistical modelling of neural signals and processes, brain-computer interfaces, and virtual reality interfaces. Applicants are also expected to have a strong publication record (relative to their career stage) as first author, ideally including publications in 1st quartile journals in relevant areas. We strongly encourage women to apply as they are currently under-represented in the School of Computer Science and Electronic Engineering. At the University of Essex internationalism is central to who we are and what we do. We are committed to being a cosmopolitan, internationally-oriented university that is welcoming to staff and students from all countries and a university where you can find the world in one place. #Who we are University of Essex has just been awarded the prestigious title of "University of the Year" by the Times Higher Education for "transforming the lives of a growing student body" and " putting both staff and students first". The School of Computer Science and Electronic Engineering (CSEE) at the University of Essex has an outstanding reputation for teaching and high-quality research in artificial intelligence, biomedical engineering, brain-computer interfaces, computer games, evolutionary computation, human language technology, robotics, networks and optoelectronics. Particularly relevant to this application is our research in artificial intelligence and in life and medical sciences applications, which was judged as world-leading in the recent Research Excellence Framework, the system for assessing the quality of research in UK higher education institutions. An important centre spanning both areas is the Essex Brain-Computer Interface and Neural Engineering (BCI-NE) Laboratory. The successful applicant will work in collaboration with the Department of Psychology at the University of Essex. This department was ranked 13th out of more than 100 in the UK in the most recent Research Excellence Framework (REF 2014 ), with 90% of our research rated as world-leading or internationally excellent. Academic staff in the department have wide-ranging and world-leading expertise in vision, cognition, cognitive neuroscience, health and social psychology. Students and staff make use of facilities in the Centre for Brain Science, a purpose-built facility dedicated to research and with considerable resources for understanding brain and behaviour. The research facilities are located on our Colchester Campus, which is set within 200 acres of beautiful parkland , located two miles from the historic town centre of Colchester England's oldest recorded town. Our Colchester Campus is also easily reached from London and Stansted Airport in under one hour. Home to over 13,000 students from more than 130 countries, our Colchester Campus is the largest of our three sites, making us one of the most internationally diverse campuses on the planet - we like to think of ourselves as the world in one place. Colchester has a relatively low cost of living, while being well connected to London, the coast, and areas of natural beauty in East Anglia. Please see the link above for a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application.? Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone the Resourcing Team (+44 1206 876559 ). Feel free to? contact us (Dr Citi, (CSEE) lciti at essex.ac.uk (PI), Dr Ognibene (CSEE) dimitri.ognibene at essex.ac.uk , Dr Foulsham (PSYCH) ) for an informal discussion about this post. From ales.zamuda at um.si Thu Jan 10 07:03:15 2019 From: ales.zamuda at um.si (=?utf-8?B?QWxlxaE=?= Zamuda) Date: Thu, 10 Jan 2019 13:03:15 +0100 Subject: Connectionists: FANCCO 2019 July 10-12, Maribor Slovenia- 1st Call for Papers Message-ID: <7ccf3460-3511-4a28-bd32-3215e3e2115e@ex7.thor.um.si> *** Apologies for cross-posting. Appreciate if you can distribute the CFP. *** *** 1st Call for Papers. Submission of Full Manuscript 8 March 2019. *** ****************************************************************************** Fuzzy And Neural Computing Conference (FANCCO 2019) July 10-12, 2019 Faculty of Electrical Engineering and Computer Science, University of Maribor Venue: Hotel City Maribor, Maribor, Slovenia, EU ****************************************************************************** IMPORTANT DATES --------------- Submission of Full Manuscript 8 March 2019 Notification of Acceptance 20 April 2019 Camera Ready Copy 5 May 2019 Submission of Tutorial Proposals 1 March 2019 Submission of Special Session Proposal 1 March 2019 Early Registration 15 May 2019 Introduction ------------ The FANCCO 2019 is the fifth international conference of this series. FANCCO 2019 conference aims at bringing together researchers from academia and industry to report and review the latest progresses in the cutting - edge research with Fuzzy and Neural computing to explore new application areas and to design new algorithms for solving specific hard problems and to create awareness on these domains to a wider audience and practitioners. Therefore, researchers are encouraged to submit their contributions in both theoretical and practical aspects. Theme ----- The topics of the conference is related to the following (but not limited to): Neural Network theory & models, Learning and adaptation, Computational neuroscience, Cognitive models, Brain-machine interfaces, Neurodynamics, Neuroinformatics, Neuroengineering, Neural hardware. Fuzzy Set theory, Type II Fuzzy Logic, Decision Making, Rough Set theory, Hybrid Fuzzy System. Collective intelligence, Hybrid systems with fuzzy, Swarm, evolutionary methods Computational biology, Bioinformatics, Artificial life. Application in the domain of Signal image / speech processing / time series analysis. Other applications like Pattern Recognition / Machine Intelligence / Machine Vision / Data Mining / Robotics / Sensor Networks etc. PUBLICATION ============================================================================== Prospective authors are invited to submit paper(s) not exceeding 8 pages written in A4 size and as per the LNCS, Springer format on any one of the conference topics. The proceedings will be published by LNCS series of Springer (Pending Approval). Paper Submission: https://easychair.org/conferences/?conf=semcco2019andfancco2 Contact Address: ales.zamuda at um.si For Further Details visit: http://fancco2019.org/ The Conference Proceedings are published by LNCS series of Springer indexed in ISI Proceedings, DBLP, IO-Port, EI, ACM Portal, Scopus, INSPEC, etc. HOSTING EVENT ============================================================================== 7-th Joint International Conferences on Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2019) & Fuzzy And Neural Computing Conference (FANCCO 2019) The SEMCCO 2019 is the seventh international conference of this series, where SEMCCO 2010 has been successfully organized at SRM University Chennai, SEMCCO 2011 at ANITS, Visakhpatnam, SEMCCO 2012 at SOA University, Bhubaneswar, SEMCCO 2013 at SRM University, Chennai, SEMCCO 2014 at SOA University, Bhubaneswar, and SEMCCO 2015 at Hyderabad, India. The FANCCO 2019 is the fifth international conference of this series, collocated and co-organized with SEMCCO. COMMITTEES ============================================================================== GENERAL CHAIR Ales Zamuda, University of Maribor, Maribor, Slovenia GENERAL CO-CHAIR Swagatam Das, Indian Statistical Institute, Kolkata, India Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore Bijaya Ketan Panigrahi, Indian Institute of Technology Delhi, Delhi, India PROGRAM CHAIR Swagatam Das, Indian Statistical Institute, Kolkata, India STEERING COMMITTEE CHAIR Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore INTERNATIONAL ADVISORY COMMITTEE Rammohan Mallipeddi, Kyungpook National University, Daegu, Republic of Korea Kalyanmoy Deb, Michigan State University, East Lansing, Michigan, USA Francisco Herrera, University of Granada, Granada, Spain Weiping Ding, Nantong University, Nantong, China Kusum Deep, Indian Institute of Technology Roorkee, Roorkee, India Liang Gao, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA Adam Piotrowski, Polish Academy of Sciences, Warsaw, Poland Ivan Zelinka, Technical University of Ostrava, Ostrava, Czech Republic Fatih Tasgetiren, Yasar University, Izmir, Turkey Roman Senker?k, Tomas Bata University in Zl?n, Zl?n, Czech Republic Jos? Daniel Hern?ndez Sosa, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain PUBLICATION CHAIR Bijaya Ketan Panigrahi, Indian Institute of Technology Delhi, Delhi, India INTERNATIONAL TECHNICAL COMMITTEE Mostafa Z. Ali, Jordan University of Science and Technology, Irbid, Jordan Janez Brest, University of Maribor, Maribor, Slovenia Ying-ping Chen, National Chiao Tung University, Hsinchu City, Taiwan Swagatam Das, Indian Statistical Institute, Kolkata, India Kalyanmoy Deb, Michigan State University, East Lansing, Michigan, USA Kusum Deep, Indian Institute of Technology Roorkee, Roorkee, India Weiping Ding, Nantong University, Nantong, China Tome Eftimov, Stanford University, USA Francisco Herrera, University of Granada, Granada, Spain Mohammed El-Abd, American University of Kuwait, Salmiya, Kuwait Steffen Finck, University of Applied Sciences, Dornbirn, Austria Liang Gao, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA Jos? Daniel Hern?ndez Sosa, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain Mauro Iacono, University of Campania Luigi Vanvitelli, Caserta, Italy Zuzana Kom?nkov? Oplatkov?, Tomas Bata University in Zl?n, Zl?n, Czech Republic Antonio LaTorre, Technical University of Madrid, Madrid, Spain Simone Ludwig, North Dakota State University, Fargo, USA Rammohan Mallipeddi, Kyungpook National University, Daegu, Republic of Korea Karol Opara, Polish Academy of Sciences, Warsaw, Poland Millie Pant, Indian Institute of Technology Roorkee, Roorkee, India Adam Piotrowski, Polish Academy of Sciences, Warsaw, Poland S.G. Ponnambalam, Universiti Malaysia Pahang, Pekan, Malaysia Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore Roman Senker?k, Tomas Bata University in Zl?n, Zl?n, Czech Republic Fatih Tasgetiren, Yasar University, Izmir, Turkey Ankit Thakkar, Nirma University, Ahmedabad, India Yong Wang, Central South University, Changsha, China Daniela Zaharie, West University of Timisoara, Timisoara, Romania Ales Zamuda, University of Maribor, Maribor, Slovenia Ivan Zelinka, Technical University of Ostrava, Ostrava, Czech Republic From jorgecbalmeida at gmail.com Thu Jan 10 06:00:29 2019 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Thu, 10 Jan 2019 11:00:29 +0000 Subject: Connectionists: 2 Tenured Associate Professor Positions at the Faculty of Psychology and Educational Sciences of the University of Coimbra Portugal Message-ID: The Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal, has two open Positions for Associate Professor. The official post is below: http://www.uc.pt/drh/rm/pconcursais/pessoal_docente/A_decorrer/fpce/P053-18-7647/edital_en This is a tenured position with a very competitive salary for Portugal. The University has a 3T MRI, and the faculty has facilities for EEG, and other labs in the field. The Faculty of Psychology and Educational Science has several funded projects on-going including one ERC starting grant in Cognitive Neuroscience and object recognition. The University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. The deadline for application is about 40 working days (Portuguese calendar) from now, and a physical copy of the application has to be sent by snail mail to Portugal. Hope to see you here in Coimbra! -------------- next part -------------- An HTML attachment was scrubbed... URL: From nguyensmai at gmail.com Thu Jan 10 12:16:50 2019 From: nguyensmai at gmail.com (Nguyen, Sao Mai) Date: Thu, 10 Jan 2019 18:16:50 +0100 Subject: Connectionists: [journals] Call for papers: IEEE TCDS Special Issue on Continual Unsupervised Sensorimotor Learning In-Reply-To: References: Message-ID: Dear Colleagues, Happy new year 2019! We are preparing a special issue in IEEE Transactions on Cognitive and Developmental Systems on "Continual Unsupervised Sensorimotor Learning", and would like to invite you to contribute a research article or a review for the SI. The deadline is set as February 28th, 2019. The scope, aim, submission and other details are given below. URL: http://projects.au.dk/socialrobotics/news-events/show/artikel/special-issue-on-continual-unsupervised-sensorimotor-learning/ AIM AND SCOPE Although machine learning algorithms continue to improve at a rapid pace enabling technologies and products such as autonomous driving cars and sophisticated image and speech recognition, it is often forgotten that these applications represent tailored solutions to specific tasks. Thus it is not clear if or how these autonomous systems can pave the road to general purpose machines envisioned by many. The pursuit for higher levels of autonomy and versatility in robotics is arguably lead by two main factors. Firstly, as we push robots out of the labs and productions lines, it becomes increasingly difficult to design for all possible scenarios that a particular robot might encounter. Secondly, the cost of designing, manufacturing, and maintaining such systems becomes prohibitive. As the algorithms for learning single tasks in restricted environments are improving, new challenges have gained relevance in order to get more autonomous artificial systems. These challenges include multi-task learning, multimodal sensorimotor learning and lifelong adaptation to injury, growth and ageing. Addressing these challenges promise higher levels of autonomy and versatility of future robots. This special issue on Continual Unsupervised Sensorimotor Learning is primarily concerned with the developmental processes involved in unsupervised sensorimotor learning in a life-long perspective, and in particular the emergence of representations of action and perception in humans and artificial agents in continual learning. These processes include action-perception cycle, active perception, continual sensory-motor learning, environmental-driven scaffolding, and intrinsic motivation. The special issue will highlight behavioural and neural data, and cognitive and developmental approaches to research in the areas of robotics, computer science, psychology, neuroscience, etc. Contributions might focus on mathematical and computational models to improve robot performance and/or attempt to unveil the underlying mechanisms that lead to continual adaptation to changing environment or embodiment and continual learning in open-ended environments. Contributions from multiple disciplines including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and developmental psychology, on theoretical, computational, application-oriented, and experimental studies as well as reviews in these areas are welcome. THEMES This special issue aims to report state-of-the-art approaches and recent advances on Continual Unsupervised Sensorimotor Learning with a cross-disciplinary perspective. Topics relevant to this special issue include but are not limited to: Emergence of representations via continual interaction Continual sensory-motor learning Action-perception cycle Active perception Environmental-driven scaffolding Intrinsic motivation Neural substrates, neural circuits and neural plasticity Human and animal behaviour experiments and models Reinforcement learning and deep reinforcement learning for life-long learning Multisensory robot learning Multimodal sensorimotor learning Affordance learning Prediction learning SUBMISSION 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 . Submissions must be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieee. Please select the category ?SI: Continual Unsupervised Sensorimotor Learning?. IMPORTANT DATES 28th February 2019 ? Paper submission deadline 15th April 2019 ? Notification for authors 16th June 2019 ? Deadline revised papers submission 16th July 2019 ? Final notification for authors 18th August 2019 ? Deadline for camera-ready versions September 2019 ? Expected publication date http://projects.au.dk/socialrobotics/news-events/show/artikel/special-issue-on-continual-unsupervised-sensorimotor-learning/ On behalf of the guest editors: Nicol?s Navarro-Gerrero Aarhus University, Aarhus, Denmark nng at eng.au.dk Sao Mai Nguyen IMT Atlantique, France nguyensmai at gmail.com Erhan Oztop Ozye?in University, Turkey erhan.oztop at ozyegin.edu.tr Junpei Zhong National Institute of Advanced Industrial Science and Technology (AIST), Japan joni.zhong at aist.go.jp With my best wishes for the year 2019, Nguyen Sao Mai nguyensmai at gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From vitordouzi at gmail.com Thu Jan 10 09:10:58 2019 From: vitordouzi at gmail.com (Vitor Mangaravite) Date: Thu, 10 Jan 2019 11:10:58 -0300 Subject: Connectionists: Narrative Extraction from Texts (Text2Story'19@ECIR'19). Second International Workshop. Message-ID: *** Apologies for cross-posting *** ++ CALL FOR PAPERS ++ ****************************************************************************************** Second International Workshop on Narrative Extraction from Texts (Text2Story'19 at ECIR'19) held in conjunction with the 41st European Conference on Information Retrieval Cologne, Germany, April 14th, 2019 Website: *http://bit.ly/text2story19 * ****************************************************************************************** ++ Important Dates ++ - Submission deadline: January 28th, 2019 - Acceptance Notification Date: March 4th, 2019 - Camera-ready copies: March 22nd, 2019 - Workshop: April 14th, 2019 ++ Overview ++ The increasing availability of text information in the form of news articles, comments or posts in social networks poses new challenges for those who aim to understand the storyline of an event. Although understanding natural language text has improved over the last couple of years with several research works emerging on the grounds of information extraction and text mining, the problem of constructing consistent narrative structures is yet to be solved. It is not only the algorithms that need to be improved, but also the state-of-the-art that needs to advance in order to provide methods that automatically identify, interpret and relate the different elements of a narrative which will be likely spread from different sources. In this workshop we aim to foster the discussion of recent advances in the link between Information Retrieval (IR) and formal narrative representations from texts. More specifically, we aim to capture a wide range of multidisciplinary issues related to the text-to-narrative-structure and to its various related tasks. This is a very rich line of research that poses many challenging problems in information retrieval, text mining, information extraction, computational linguistics and automatic production of media content. ++ List of Topics ++ Research works submitted to the workshop should foster the scientific advance on all aspects of storyline generation from texts including but not limited to narrative and content generation, formal representation, and visualization of narratives. This includes the following topics (not limited): - Event Identification - Narrative Representation Language - Sentiment and Opinion Detection - Argumentation Mining - Narrative Summarization - Multi-modal Summarization - Storyline Visualization - Temporal Aspects of Storylines - Story Evolution and Shift Detection - Causal Relation Extraction and Arrangement - Evaluation Methodologies for Narrative Extraction - Big data applied to Narrative Extraction - Resources and Dataset showcase - Personalization and Recommendation - User Profiling and User Behavior Modeling - Credibility - Models for detection and removal of bias in generated stories - Ethical and fair narrative generation - Fact Checking - Bots Influence - Bias in Text Documents - Automatic Timeline Generation ++ Submission Guidelines ++ We invite two kinds of submissions: - Research papers (max 7 pages + references) - Demos and position papers (max 5 pages + references) Papers must be submitted electronically in PDF format through Easy Chair ( https://easychair.org/conferences/?conf=text2story2019). All submissions must be in English and formatted according to LNCS style ( http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines ) Submissions will be peer-reviewed by at least three members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (usually indexed on DBLP). ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. All papers will also be also presented in an interactive poster session. ++ Invited Speakers ++ TBA ++ Organizing committee ++ Al?pio M. Jorge (INESC TEC; University of Porto, Portugal) Ricardo Campos (INESC TEC; Polytechnic Institute of Tomar, Tomar, Portugal) Adam Jatowt (Kyoto University, Japan) Sumit Bhatia (IBM Research AI, India) ++ Proceedings Chair ++ ? Concei??o Rocha (LIAAD INESC TEC) ? Jo?o Paulo Cordeiro (INESC TEC; University of Beira Interior) ++ Web Chair ++ ? Arian Pasquali (INESC TEC) ++ Dissemination Chair ++ ? Vitor Mangaravite (UFMG; INESC TEC) ++ Program Committee ++ Nicola Ferro (University of Padova) Miguel Martinez-Alvarez (Signal) Jo?o Magalh?es (New University of Lisbon) Federico Nanni (University of Mannheim) Dhruv Gupta (Max Planck Institute for Informatics) Yihong Zhang (Kyoto University) Nuno Moniz (LIAAD/INESC TEC) Bruno Martins (IST and INESC-ID - Instituto Superior T?cnico, University of Lisbon) Mark Finlayson (Florida International University) Marc Spaniol (Universit? de Caen Normandie) Nina Tahmasebi (University of Gothenburg) Florian Boudin (Universit? de Nantes) Henrique Lopes Cardoso (University of Porto) Udo Kruschwitz (University of Essex) Mengdie Zhuang (The University of Sheffield) Daniel Loureiro (University of Porto) Daniel Gomes (FCT/Arquivo.pt) Pablo Gamallo (University of Santiago de Compostela) Paulo Quaresma (Universidade de Evora) S?rgio Nunes (University of Porto) ?lvaro Figueira (University of Porto) Ga?l Dias (Normandie University) Gerasimos Lampouras (The University of Sheffield) ++ Contacts ++ Website: *http://bit.ly/text2story19 * For general enquiries regarding the workshop, reach the organizers at: amjorge at fc.up.pt, ricardo.campos at ipt.pt, adam at dl.kuis.kyoto-u.ac.jp, sumitbhatia at in.ibm.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From arokem at gmail.com Thu Jan 10 18:01:37 2019 From: arokem at gmail.com (Ariel Rokem) Date: Thu, 10 Jan 2019 15:01:37 -0800 Subject: Connectionists: NeuroHackademy 2019 Message-ID: We are happy to announce a call for applications to participate in Neurohackademy 2019! This two-week hands-on workshop held at the University of Washington eScience Institute in Seattle, July 29th - August 9th, 2019, focuses on tools and techniques used to analyze human neuroscience data, on methods used to extract information from large datasets of publicly available data (such as the Human Connectome Project, OpenfMRI, etc.), and on tools for making human neuroscience research open and reproducible. Neurohackademy sessions in the first week will include lectures and tutorials on data science, machine learning, data visualization, and data resources. The second week will be devoted to participant-directed activities: guided work on team projects, hackathon sessions, and breakout sessions on topics of interest. *For more details and a preliminary list of instructors, see: **https://neurohackademy.org/ * We are now accepting applications to participate at https://neurohackademy.org/apply/ Ideally, applicants should have some prior experience with programming and with neuroscience data analysis, but we welcome applications from participants with a variety of relevant backgrounds. Accepted applicants will be asked to pay a fee of $200 upon final registration. This fee will include participation in the course, accommodation in the UW dorms, and two meals a day (breakfast and lunch), for the duration of the course. A limited number of fee waivers and travel grants will be available. We encourage students with financial need and students from groups that are underrepresented in neuroimaging and data science to apply for these grants (see application form for details). *Important dates:* *February 18th: Application deadline* *March 15th: Notification of acceptance* *April 1st: Final registration deadline* -------------- next part -------------- An HTML attachment was scrubbed... URL: From daniel.urda at uca.es Fri Jan 11 02:38:45 2019 From: daniel.urda at uca.es (=?utf-8?Q?Daniel_Urda_Mu=C3=B1oz?=) Date: Fri, 11 Jan 2019 08:38:45 +0100 Subject: Connectionists: [CFP: IWANN'19] Special Session on Data-driven Intelligent Transportation Systems Message-ID: <250CFB17-B903-45E7-AF5F-6C16DAA7AB11@uca.es> *** Apologies for cross-posting *** Dear Colleague, We would like to cordially invite you to submit a paper for the International Work Conference on Artificial Neural Networks (IWANN 2019) Special Session on Data-driven Intelligent Transportation Systems in Las Palmas de Gran Canarias (Spain) 12 to 14 June, 2019. IWANN 2019 Special Session on Data-driven Intelligent Transportation Systems Abstract: Intelligent Transportation Systems (ITS) use the Internet of Things (IoT) and advanced data communication technologies to build an integrated system of people, vehicles and roads. Accurate and real-time traffic related data is required to improve the performance of transportation systems, to monitorize and/or forecast the pollution rate, or to detect traffic congestion or disruption, among many others. In the recent years, the fast growth in technology has allowed the collection and availability of heterogeneous traffic related data, which enables the application of cutting-edge data analytics tools to overcome the latest challenges in this field. This session welcomes recent contributions in all ?reas connected to data-driven techniques in ITS which address transport related issues including, but not limited to: + Intelligent Transportation Systems and air pollution: ? Neural networks for air quality forecast. ? Prescriptive data analysis for local authorities? assessment. ? Vehicular air pollution in local urban areas. ? Relationship among multimodal transportation and air pollution. ? Freight distribution in urban contexts. ? Maritime transportation and air pollution + Computational intelligence in transportation systems: ? Traffic monitoring and surveillance using convolutional neural networks. ? Neural networks for short-term traffic or flow forecast. ? Disruption and/or disaster management systems. ? Driver assistance systems, autonomous cars. ? Route guidance and optimization through local and real-time vehicle information. ? Intelligent containerization. ? ITS for international transport (e.g., cross-border and transit transport facilitation) and intermodal transport. + Sensor and network technology for Intelligent Transportation Systems: ? IoT infrastructure to enhance traffic related data acquisition. ? Computer vision. ? Cybersecurity. ? Wireless sensor networks and communications in vehicles. ? Smart sensors: edge and/or fog computing. ? Data fusion methods for heterogeneous sensors Paper Submission Deadline February 1, 2019 Paper acceptance notification date March 18, 2019 Final paper submission deadline March 26, 2019 Conference June 12-14, 2019 Chairs: Ignacio Turias Dom?nguez - University of Cadiz (Spain) ignacio.turias at uca.es David Elizondo - De Montfort University (United Kingdom) elizondo at dmu.ac.uk Francisco Ortega Zamorano - University of Malaga (Spain) fortega at lcc.uma.es Best wishes, Daniel Daniel Urda Mu?oz PI - ASECTI (Big Data & Machine Learning) Departamento de Ingenier?a Inform?tica, Escuela Superior de Ingenier?a. Universidad de C?diz (Spain) Avenida de la Universidad de C?diz, n? 10, CP 11519, Puerto Real (C?diz). ResearcherID: B-2040-2017 ORCID: 0000-0003-2662-798X Google Scholar: https://scholar.google.es/citations?user=fNblEd8AAAAJ&hl=es ResearchGate: https://www.researchgate.net/profile/Daniel_Urda daniel.urda at uca.es -------------- next part -------------- An HTML attachment was scrubbed... URL: From boris.gutkin at ens.fr Fri Jan 11 03:34:12 2019 From: boris.gutkin at ens.fr (boris gutkin) Date: Fri, 11 Jan 2019 09:34:12 +0100 Subject: Connectionists: Postdoctoral fellowships in computational neuroscience at the Theoretical Neuroscience Group, Institute of Cognitive Neuroscience, Higher School of Economics, Moscow. Message-ID: <14651FB1-FDF8-4FAF-8087-0CDF1EA0106A@ens.fr> Higher School of Economics (HSE, Moscow) is pleased to announce a new post-doctoral post at the Theoretical Neuroscience Group (TNG) that applies computational and mathematical approaches to understanding neural function and cognition. Research interests of the TNG at the Centre for Cognition and Decision Making are wide ranging, carried out in collaboration with the experimental labs at the Center. Current research topics include computational psychiatry, computational neuroeconomics, information processing in neurons and circuits, as well as role of oscillations in cognition. The candidate will have the opportunity to further define and expand the Group?s research programme. We are seeking highly qualified and motivated candidate with backgrounds in quantitative disciplines: applied mathematics, physics, computer science or engineering. Knowledge of biology, neuroscience and ability to work with data is highly desired. Candidates will be trained in model building, analysis and will be offered advanced training in neuroscience and cognitive psychology. Candidates will have an opportunity to develop independent research projects and collaborations under the direction of the group leading scientists. The TNG is a structural part of the HSE?s Centre for Cognition & Decision Making with ample collaboration opportunities within the Centre with other research groups, both within Russia and internationally. This new international group is tightly linked with the Group for Neural Theory at the Ecole Normale Superior in Paris, where research internships and visiting positions can be made available. The job involves: working under the direct supervision of Boris Gutkin, head of the Theoretical Neuroscience Group. participants are encouraged to pursue their own research in parallel with working on research projects in collaboration with other groups in the Center for Cognition and Decision Making and the Institute for Cognitive Neuroscience. participation in organization of the events and other contribution to the Lab?s development public presentations of candidate?s own research to the researchers in the field and the broader academic community some teaching is encouraged, though not required. Requirements: a PhD from an international research university in such fields as: neuroscience, applied mathematics, physics, engineering a strong background in mathematical and computational modelling in neuroscience. ability to work in a team, fluent English relevant experience is an asset although not required General conditions for Post-Doctoral Research positions can be found here . Appointments will be normally made for one year. A CV and research statement should be submitted via online application form and two letters of recommendation should be submitted by the referees directly to fellowship at hse.ru by February 15, 2019. Please note that direct applications to TNG may not be reviewed. About HSE HSE is a young, dynamic, fast-growing Russian research university providing unique research opportunities. -------------- next part -------------- An HTML attachment was scrubbed... URL: From chriskanan at gmail.com Fri Jan 11 14:51:24 2019 From: chriskanan at gmail.com (Christopher Kanan) Date: Fri, 11 Jan 2019 14:51:24 -0500 Subject: Connectionists: Job Opportunity - Deep Learning for Cancer Detection and Treatment Message-ID: At PAIGE.ai, we are using machine learning to make the world better. We pair digitized pathology slides with clinical notes and our machine learning algorithms to allow pathologists to diagnose cancer faster and more accurately. ****** We?re looking for *AI Scientists to join us*. In this role you?ll be part of a team of world-leading experts in machine learning, computer vision, and pathology. In this role you?ll conduct publishable deep learning research using some of the largest digital pathology datasets in the world. You?ll be working to save lives by improving the accuracy of cancer detection, classification, and treatment outcome. *Recent graduates and PhD candidates who will defend soon are welcome to apply!* *Key Responsibilities:* - Work with our AI Scientists and Engineers to develop and assess deep neural network models - Author top-tier journal and conference papers on your research at PAIGE. - Attend conferences to present your work. *Requirements for AI Scientists:* - Highly motivated - PhD degree in computer science or related field - Publication record in venues such as CVPR, ICCV, NeurIPS, TPAMI, ICLR IJCV, MICCAI, etc. - Strong Python coding skills, with expertise in deep learning for computer vision *Requirements for AI Engineers:* - Highly motivated - BS and/or MS degree in computer science or related field - Strong Python coding skills, with expertise in deep learning for computer vision In addition to our excellent benefits package, we provide competitive salaries and stock options to our employees. *Learn more and apply at https://paige.ai/careers * Feel free to email me at chris.kanan at paige.ai with any questions you may have. -------------- next part -------------- An HTML attachment was scrubbed... URL: From uygars at alleninstitute.org Sat Jan 12 18:41:01 2019 From: uygars at alleninstitute.org (Uygar Sumbul) Date: Sat, 12 Jan 2019 23:41:01 +0000 Subject: Connectionists: Scientist/Postdoc in Computational Neuroscience at Allen Institute for Brain Science Message-ID: POSITION SUMMARY: The Allen Institute for Brain Science is engaged in a major effort to characterize and understand cell types of the brain. As part of this initiative, the Institute has been generating standardized, high-throughput recordings of neuronal anatomy, physiology, and gene expression in recent years. Principled, data driven analyses are necessary to facilitate discovery from these large, multi-modal datasets. We are seeking to fill a Scientist level position to design modern machine learning methods for the characterization of cortical neurons, with an emphasis on Bayesian inference for models involving artificial neural networks. In addition to datasets curated by the well-established mouse cortical cell types program, the unique human cortical cell types project at the Institute continues to ramp up data generation. This position will work with interdisciplinary teams consisting of quantitative and experimental scientists on high-priority modeling and analysis problems that include (i) statistical descriptions of cell identity, (ii) deep learning based joint analysis of multi-modal datasets, and (iii) non-parametric mixture models. JOB RESPONSIBILTIES: - Develop statistical models of cell identity. - Develop novel Bayesian inference algorithms for multi-modal data. - Participate in a highly interactive and multidisciplinary environment. - Publish/present findings in peer-reviewed journals/scientific conferences. BASIC QUALIFICATIONS - PhD in computer science, neuroscience, physics, mathematics, engineering, or related field. - Experience with Bayesian modeling and inference. PREFERRED QUALIFICATIONS: - Ability to work in a collaborative environment. - Experience in computational neuroscience. - Experience with GPU-based deep learning. - Proven independent thinking. - Strong written and verbal communication skills. - Strong publication record. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. To apply please visit https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=912257&&cust_sort1=29268&nohd#job Uygar S?mb?l Assistant Investigator Allen Institute for Brain Science -------------- next part -------------- An HTML attachment was scrubbed... URL: From felipe at cos.ufrj.br Sat Jan 12 16:20:08 2019 From: felipe at cos.ufrj.br (Felipe Maia Galvao Franca) Date: Sat, 12 Jan 2019 19:20:08 -0200 Subject: Connectionists: MPP 2019 -- Concurrency and Computation: Practice & Experience Special Issue on Novel Parallel Processing Techniques for IoT-based Machine Learning Applications Message-ID: MPP 2019 -- 8th Workshop on Parallel Programming Models - Special Edition on IoT and Machine Learning http://mpp-conf.org In Conjunction with IPDPS 2019, Rio de Janeiro, Brazil http://www.ipdps.org Call for Papers Recent trends in artificial neural networks, such as deep neural networks, and the Internet-of-Things ? IoT, indicate that an increasing number of artificial intelligence -based applications will be running on smartphones, sensors and other IoT devices collecting and processing large amounts of data. Most of those devices have limited processing power and often rely on cloud services for compute-intensive tasks. However, real-time applications may not tolerate the latency of offloading tasks to a cloud server. Another important aspect to consider, especially in applications that run on big systems and manipulate big data sets, is the trade-off between moving data to a remote processing element to increase parallelism and computing things locally to reduce communication and energy costs while keeping performance levels. Edge/Fog computing proposes bringing computation closer to where data is sitting, by adding computational capabilities to network devices and adding edge gateways/servers, possibly in multiple layers with different latencies and computing performance. Moreover, such systems are expected to be heterogeneous, including multi-core processors, GPUs, FPGAs, and even processors that are customized for certain applications. In this scenario, writing parallel applications is a non-trivial task, but also mandatory if one wants to explore the potential of the aforementioned modern computing platforms, imposing new challenges to the scientific community: the creation of models and alternatives to ease parallelism exploitation by the average programmer, considering the peculiarities of the different computation devices. Moreover, the proposed solutions should tackle problems such as application deployment, resilience and scheduling/offloading of tasks, considering latency, bandwidth, response time and computing power. In these complex environments, Machine Learning is becoming an important trend for the autonomic operation. MPP aims at bringing together researchers interested in presenting contributions to the evolution of existing models or in proposing novel ones, considering the trends on IoT and Machine Learning. MPP 2019 will be held in conjunction with The 33rd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2019), in Rio de Janeiro, Brazil on May 20-24, 2019. Submission Guidelines MPP invites authors to submit unpublished full and short papers on the subjects. Submissions must be in English, 8 pages maximum for full papers and 4 pages for short papers, following the IEEE formatting guidelines. Page limits include references. List of Topics Topics of interest include (with special emphasis on IoT, Fog, Edge Computing, and Machine Learning) : - Novel execution models and languages for parallelism; - Novel parallel programming techniques and architectures; - Heterogeneous programming models; - Synchronization mechanisms; - Storage techniques; - Load-balancing and scheduling mechanisms; - Error detection/recovery; - Theoretical analysis of systems; - Smart network devices; - Software-defined networks; - Integration of IoT, Fog, Edge and Cloud Computing; - Neural Networks inference and training on IoT, Fog, Edge and cloud environments; - Performance analysis; and - Applications. Important Dates - ?Paper submission deadline: February 4, 2019 - Author notification: February 25, 2019 - Camera-ready: ?????March 15, 2019 Publication The proceedings of MPP will be submitted to IEEE Xplore and Computer Society Digital Library. Selected papers will be invited for a special issue in the journal Concurrency and Computation: Practice & Experience (Impact Factor 1.114), with submissions of extended versions by September 6th *. More information can be found at: * http://www.cc-pe.net/journalinfo/issues/2019.html#MPP2019 Venue MPP 2018 will be co-held with IPDPS at Hilton Rio de Janeiro Copacabana, Rio de Janeiro, Brazil. More information will be available at the Conference website http://www.ipdps.org/ . Contact All questions about submissions should be emailed to mpp2019 at googlegroups.com . General co-chairs - Leandro A. J. Marzulo - Google Research, USA - Felipe M. G. Fran?a - Universidade Federal do Rio de Janeiro (UFRJ), Brazil Program co-chairs - Cristiana Bentes - Universidade do Estado do Rio de Janeiro (UERJ), Brazil - Gabriele Mencagli - University of Pisa, Italy Steering co-chairs - Andrew Putnam - Microsoft Research, USA - Mauricio Pilla - Universidade Federal de Pelotas, Brazil Steering Committee - Daniel Mosse - University of Pittsburgh, USA - Edson Borin - Universidade Estadual de Campinas (UNICAMP), Brazil - L?cia Drummond - Universidade Federal Fluminense (UFF), Brazil - Mario Dantas - Universidade Federal de Santa Catarina (UFSC), Brazil - Nader Bagherzadeh - University of California Irvine, USA - Nelson Amaral - University of Alberta, USA - Rodolfo Azevedo - UNICAMP, Brazil - Sandip Kundu - University of Massachusetts Amherst, USA - Vladimir Alves - NGD Systems, USA Program Committee - Albert Y. Zomaya - University of Sydney, Australia - Alet?ia Ara?jo - Universidade de Bras?lia, Brazil - Alexandre da Costa Sena - Universidade do Estado do Rio de Janeiro (UERJ), Brazil - Alexandre Solon Nery - Universidade de Bras?lia (UnB), Brazil - Alexandre Sztajnberg - Universidade do Estado do Rio de Janeiro (UERJ), Brazil - Arthur Francisco Lorenzon - Universidade Federal do Pampa (UNIPAMPA), Brazil - Carla Osthoff - Laborat?rio Nacional de Computa??o Cient?fica (LNCC), Brazil - Claudia Di Napoli - CNR, Italy - Claude Tadonki - Mines - ParisTech, France - Cristina Boeres - Universidade Federal Fluminense (UFF), Brazil - Dalvan Griebler - Pontif?cia Universidade Cat?lica do Rio Grande do Sul, Brazil - Diego Dutra - Universidade Federal do Rio de Janeiro (UFRJ), Brazil - Edward Moreno - Universidade Federal do Sergipe, Brazil - Elias Mizan - Wave Computing, USA - Flavia Delicato - Universidade Federal do Rio de Janeiro (UFRJ), Brazil - Gabriel Paillard - Universidade Federal do Cear? (UFC), Brazil - Igor Machado Coelho - Universidade do Estado do Rio de Janeiro (UERJ), Brazil - Kazutomo Yoshii - Argonne National Laboratory, USA - Krommydas Konstantinos - Intel, USA - Luciana Arantes - Universit? Paris 6 Pierre et Marie Curie, France - Maria Clicia Stelling de Castro - Universidade do Estado do Rio de Janeiro (UERJ), Brazil - Mauricio Breternitz - Instituto Universitario de Lisboa, Portugal - Michael Frank - MagiCore Inc., USA - Rajesh Sankaran - Argonne National Laboratory, USA - Rafael dos Santos - ARM, United Kingdom - Rekai Gonzalez Alberquilla - ARM, UK - Roberto Souto - Laborat?rio Nacional de Computa??o Cient?fica (LNCC), Brazil - Silvio Stanzani - Universidade Estadual Paulista (UNESP), Brazil - Sneha Chaudhar - LinkedIn, USA - Tiago A. O. Alves ? Universidade do Estado do Rio de Janeiro (UERJ), Brazil - Walid Najjar - University of California Riverside, USA - Wei Li - University of Sydney, Australia - Zehra Sura - IBM, USA -- ??????????????????????????????? Felipe M. G. Fran?a, PhD Professor of Computer Science and Engineering Systems Engineering and Computer Science Program, COPPE Universidade Federal do Rio de Janeiro P.O. Box 68511, 21941-972, Rio de Janeiro, RJ, Brazil felipe at ieee.org felipe at cos.ufrj.br ??????????????????????????????? -------------- next part -------------- An HTML attachment was scrubbed... URL: From ndaw at princeton.edu Sun Jan 13 06:47:02 2019 From: ndaw at princeton.edu (Nathaniel Daw) Date: Sun, 13 Jan 2019 13:47:02 +0200 Subject: Connectionists: 2019 Neuroeconomics Summer School Message-ID: The following summer school may be of interest to members of Connectionists. We are accepting student applications for the 2019 Neuroeconomics Summer School. The program will be held at NYU Shanghai from July 8th to July 20th. Senior graduate students and postdoctoral scholars in neuroscience, psychology, economics, and related disciplines are encouraged to apply. The application deadline is Jan 20, 2019. Website: http://www.shanghai-neuroeconomics.org/summer-school-overview/ Information: shanghai.neuroeconomics at nyu.edu Organizers: Nathaniel Daw (Princeton) Paul Glimcher (NYU) Joseph Kable (Penn) Hilke Plassman (INSEAD) Agnieszka Tymula (Sydney) -------------- next part -------------- An HTML attachment was scrubbed... URL: From nian.zhang6 at gmail.com Sun Jan 13 12:22:29 2019 From: nian.zhang6 at gmail.com (Nian Ashlee Zhang) Date: Sun, 13 Jan 2019 12:22:29 -0500 Subject: Connectionists: Call for Papers - ICIST2019, Hulunbuir, Inner Mongolia, China, August 2-5, 2019 Message-ID: Please accept our sincere apologies if you receive multiple copies of this CFP. *Call for Papers *https://conference.cs.cityu.edu.hk/icist/ Following the successes of previous events, the 9th International Conference on Information Science and Technology (ICIST 2019) will be held in Hulunbuir (Hulunbeier), Inner Mongolia, China during August 2-5, 2019. Situated in northeastern China near the borders of Russia and Mongolia, Hulunbuir features picturesque grassland and nomadic culture. ICIST 2019 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. Authors are invited to submit full-length papers (8 pages maximum) by the submission deadline through the online submission system. In addition, proposals for special sessions within the technical scopes of the conference are solicited. Special session organizers are invited to enlist six or more papers with cohesive topics to form special sessions. The Proceedings has been contracted to be included in IEEE Xplore Digital Library and will be submitted for EI indexing. *Important Dates* Special session proposals deadline: March 1, 2019 Paper submission deadline: April 1, 2019 Notification of acceptance: May 1, 2019 Camera-ready copy and author registration: June 1, 2019 Conference: August 2-5, 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From nian.zhang6 at gmail.com Sun Jan 13 12:24:44 2019 From: nian.zhang6 at gmail.com (Nian Ashlee Zhang) Date: Sun, 13 Jan 2019 12:24:44 -0500 Subject: Connectionists: Call for Papers - ISNN 2019, Moscow, Russia, July 10-12, 2019 Message-ID: Please accept our sincere apologies if you receive multiple copies of this CFP. *Call for Papers *https://conference.cs.cityu.edu.hk/isnn/ Following the successes of previous events, the 16th International Symposium on Neural Networks (ISNN 2019) will be held in Moscow, Russia on July 10-12, 2019. Located by the Moskva River, Moscow is the capital and largest city in Russia with a population of over thirteen millions. ISNN 2019 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network research and applications in related fields. The symposium will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. Prospective authors are invited to contribute high-quality papers to ISNN 2019. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ISNN 2019. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information and brief biographical information of the organizers. Authors are invited to submit full-length papers (12 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. The proceedings of ISNN 2019 will be published in the Springer LNCS series and selected good papers will be included in special issues of SCI journals. *Important Dates* Special session proposals deadline: January 1, 2019 Paper submission deadline: February 1, 2019 Notification of acceptance: March 1, 2019 Camera-ready copy and author registration: April 1, 2019 Conference: July 10-12, 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From aw665 at cam.ac.uk Sun Jan 13 14:02:20 2019 From: aw665 at cam.ac.uk (Adrian Weller) Date: Sun, 13 Jan 2019 14:02:20 -0500 Subject: Connectionists: *Deadline Jan 31* Postdoc opportunity in Cambridge UK to work on Trust and Transparency of AI Message-ID: <037701d4ab72$82e08280$88a18780$@cam.ac.uk> Please forward to anyone who may have interest. *Application deadline is Jan 31.* In collaboration with the Machine Learning Group, the Leverhulme Centre for the Future of Intelligence (CFI) at the University of Cambridge invites applications for a postdoctoral Research Associate to work on the project 'Trust and Transparency in AI', which spans multiple disciplines including machine learning, law, psychology and policy. Funding for this position is available for 2 years in the first instance. It is an exciting opportunity for a talented individual to make a major contribution to the development of this field. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by AI. Funded by the Leverhulme Trust, CFI is based at the University of Cambridge, with partners in the University of Oxford, Imperial College, and UC Berkeley, and has close links with industry and policymakers. This is a new post within CFI's Trust and Transparency project. This project, led by Dr Adrian Weller and Professor Zoubin Ghahramani, examines technical, legal and social mechanisms for ensuring AI systems are appropriately transparent and trustworthy. The University values diversity and is committed to equality of opportunity. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. For more details please see http://lcfi.ac.uk/careers/postdoctoral-researcher-trust-and-transparency/ Best wishes, Adrian ------------------------------ Adrian Weller Senior Research Fellow, Machine Learning, University of Cambridge Senior Research Fellow, Leverhulme Centre for the Future of Intelligence http://mlg.eng.cam.ac.uk/adrian/ From lexingxie at gmail.com Sun Jan 13 16:34:49 2019 From: lexingxie at gmail.com (Lexing Xie) Date: Mon, 14 Jan 2019 08:34:49 +1100 Subject: Connectionists: Multiple positions: Humanising Machine Intelligence@ Australian National University Message-ID: The *Australian National University* is launching a major new project on *Humanising Machine Intelligence*, uniting computer scientists, philosophers, and social scientists in the pursuit of a more ethical future for AI and Machine Learning. We are currently recruiting 8 *research-intensive academics, 3 of whom will be based in the Research School of Computer Science:* - *Level*: Academic Level B or C http://en.wikipedia.org/wiki/Academic_ranks_(Australia_and_New_Zealand - *Salary* (AUD): Level B: $98,009-$111,365 plus 17% superannuation, Level C: $118,044-$131,402 plus 17% superannuation - *Duration*: 3 years, with possibility of extension to 5 years following a successful project review. Consideration will be given to tenure-track or continuing positions in exceptional circumstances (e.g. applicants already holding such a position). - *HMI project website*: http://hmi.anu.edu.au/ - *How to apply:* *deadline 15 February 2019* http://jobs.anu.edu.au/cw/en/job/527904/research-fellowfellow -* Contact:* Sylvie.Thiebaux at anu.edu.au or Lexing.Xie at anu.edu.au The goal of the HMI project is to forestall the risks posed by inadequate attention to ethics in the design of MI systems, and help to realise the tremendous social benefits promised by MI. The project has three components: (1) Discovery: formulate the design problem by identifying the social risks and opportunities of widespread reliance on MI. (2) Foundations: identify and answer the fundamental theoretical questions on which progress towards ethical MI depends. (3) Design: develop ethical algorithms and broader MI systems in partnership with industry and government. The HMI project chief investigators are: Colin Klein, Seth Lazar and Katie Steele (Philosophy), Marcus Hutter, Sylvie Thi?baux, Bob Williamson and Lexing Xie (Computer Science), Jenny Davis (Sociology), Idione Meneghel (Economics), and Toni Erskine (Political Science). We are looking for up to eight talented academics to help us humanise machine intelligence. Our primary criterion is demonstrated research excellence in a discipline area relevant to the project, and the clear potential to be research leaders in their disciplines and in the field of moral AI. An interdisciplinary background is not required, but successful applicants will be ready and equipped to engage with scholars from other disciplines and are expected to work actively with scholars from at least two of the project?s discipline areas. Three of these new academics will be based in the Research School of Computer Science. Within this discipline, we strongly encourage researchers with a wide range of technical backgrounds, including but not limited to computational social choice and game theory, decision theory, information theory, logic and automated reasoning, artificial general intelligence, machine learning, optimisation, planning & scheduling, reasoning about constraints & preferences, and reinforcement learning. Successful applicants will help us design the next generation of more ethical MI systems, in part through publishing internationally influential research in the leading peer-reviewed venues (as suited to their discipline). We expect them to become leaders in academia, industry or government. As well as conducting research at the highest level, they will help build the HMI community at ANU and globally, through convening a regular seminar series and international workshops. They will also contribute, at a reduced intensity, to the education and outreach agendas of the School, in a manner appropriate to the level of appointment. ------ Lexing Xie professor, computer science, the australian national university http://cm.cecs.anu.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From levine at uta.edu Sun Jan 13 18:46:37 2019 From: levine at uta.edu (Levine, Daniel S) Date: Sun, 13 Jan 2019 23:46:37 +0000 Subject: Connectionists: Announcement of neural networks book Message-ID: Dear Colleagues, The third edition of my textbook and reference book, Introduction to Neural and Cognitive Modeling (Routledge, 2019) is now available in hardback, paperback, and e-book formats. [Introduction to Neural and Cognitive Modeling: 3rd Edition, 3rd Edition (Paperback) book cover] The first part of the book explores the philosophy of modeling and the field's history starting from the mid-1940s, then discusses models of associative learning and of short-term memory that provide building blocks for more complex recent models. The second part reviews recent experimental findings in cognitive neuroscience and discusses models of conditioning, categorization, category learning, vision, visual attention, sequence learning, behavioral control, decision making, reasoning, and creativity. The models are more abstract in the first part and more closely tied to specific brain regions in the second part. The book includes two appendices: the first reviewing the mathematics used in network modeling, the second reviewing basic neuroscience at both the neuron and brain region levels. The ends of chapters include equations and three types of exercises: simulations, mathematical problems, and thought experiments. More information including ordering details can be found at https://www.routledge.com/Introduction-to-Neural-and-Cognitive-Modeling-3rd-Edition/Levine/p/book/9781848726482. Best regards, Daniel S. Levine University of Texas at Arlington levine at uta.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 13321 bytes Desc: image001.jpg URL: From muftimahmud at gmail.com Sun Jan 13 12:49:08 2019 From: muftimahmud at gmail.com (Mufti Mahmud) Date: Sun, 13 Jan 2019 17:49:08 +0000 Subject: Connectionists: Request to Take a Short Research Survey (~2 mins max). Message-ID: Dear colleagues, *Apologies for mass posting!* I need your *support and help*. I have been aiming to *understand how may we improve our experience in reading scientific articles*. I request you to kindly take the following *anonymous* *survey containing seven questions with multiple choices to select from*. It shouldn?t take *more than a couple of minutes*. https://goo.gl/forms/kgcJveOjY6nx145S2 I truly appreciate your time for this and look forward to receiving your responses. Best regards, *Mufti Mahmud, PhD, SrMIEEE, SrMACM* (Senior) Lecturer of Computing & Technology | Nottingham Trent University Course Leader of M.Sc. in Data Analytics for Business & Online MBA with Data Analytics Office: ERD200 | Clifton Campus | Clifton Lane | NG11 8NS ? Nottingham | United Kingdom Phone: +44 (0)115 84 83202 | Email: mufti.mahmud at ntu.ac.uk Meeting requests: https://doodle.com/mufti http://orcid.org/0000-0002-2037-8348 https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en https://sites.google.com/site/muftimahmud/ https://www.ntu.ac.uk/staff-profiles/science-technology/mufti-mahmud Associate Editor, IEEE Access Editorial Board Member, Cognitive Computation & Big Data Analytics Local Organizing Committee Chair, IEEE WCCI2020, Glasgow, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From Johan.Suykens at esat.kuleuven.be Mon Jan 14 07:16:25 2019 From: Johan.Suykens at esat.kuleuven.be (Johan Suykens) Date: Mon, 14 Jan 2019 13:16:25 +0100 Subject: Connectionists: European Commission draft ethics guidelines for trustworthy artificial intelligence In-Reply-To: References: Message-ID: <9fbad11f-b08b-1754-2f7d-82b3ed38cbd7@esat.kuleuven.be> Dear all, the deadline for giving input has been extended to Feb 1, 2019. Best regards, Johan Suykens -------- Forwarded Message -------- Subject: Connectionists: European Commission draft ethics guidelines for trustworthy artificial intelligence Date: Mon, 31 Dec 2018 15:43:16 +0100 From: Johan Suykens To: connectionists at cs.cmu.edu CC: nathalie.smuha at kuleuven.be Dear all, Please consider giving input and feedback on the draft ethics guidelines for trustworthy artificial intelligence. All information is provided below in the message of Nathalie Smuha. Best regards, Johan Suykens ------------------------------------ The European Commission's High-Level Expert Group on AI (AI HLEG) published a draft of its AI Ethics Guidelines (see press release with information here ) The AI HLEG was established by the European Commission in June 2018 to support the implementation of its Strategy on Artificial Intelligence and to prepare two deliverables: (1) AI Ethics Guidelines and (2) Policy and Investment Recommendations. The draft Guidelines are now open for consultation between 18 December and 18 January. All stakeholders are invited to comment on or contribute to the individual sections of the draft, as well as to provide general feedback through the following consultation form . The AI HLEG also published a Definition on artificial intelligence which accompanies its deliverable. Following the consultation, the AI HLEG will finalise the Guidelines, which it aims to present to the Commission in March 2019. For more information about the High-Level Expert Group on AI, click here . For more information on the European AI Alliance, click here . If you wish to participate in the further discussion on Artificial Intelligence in Europe, please follow the two-step-registration process: 1. Join Futurium 2. Become a member of the European AI Alliance. *Nathalie Smuha* Assistant Lecturer & PhD Fellow *Faculty of Law* Tiensestraat 41 3000 Leuven tel. +32 16 19 31 37 From sahidullahmd at gmail.com Mon Jan 14 08:32:05 2019 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Mon, 14 Jan 2019 14:32:05 +0100 Subject: Connectionists: ASVspoof 2019 CHALLENGE: Future horizons in spoofed/fake audio detection Message-ID: [Apologies for possible cross-posting] **=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=** *ASVspoof 2019 CHALLENGE:Future horizons in spoofed/fake audio detection**http://www.asvspoof.org/ * * =*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=* Can you distinguish computer-generated or replayed speech from authentic/bona fide speech? Are you able to design algorithms to detect spoofs/fakes automatically? Are you concerned with the security of voice-driven interfaces? Are you searching for new challenges in machine learning and signal processing? *Join ASVspoof 2019* ? the effort to develop next-generation countermeasures for the automatic detection of spoofed/fake audio. In combining the forces of leading research institutes and industry, ASVspoof 2019 encompasses two separate sub-challenges in logical and physical access control, and provides a common database of the most advanced spoofing attacks to date. The aim is to study both the limits and opportunities of spoofing countermeasures in the context of automatic speaker verification and fake audio detection. *CHALLENGE TASK* Given a short audio clip, determine whether it represents authentic/bona fide human speech, or a spoof/fake (replay, synthesized speech or converted voice). You will be provided with a large database of labelled training and development data and will develop machine learning and signal processing countermeasures to distinguish automatically between the two. Countermeasure performance will be evaluated jointly with an automatic speaker verification (ASV) system provided by the organisers. *BACKGROUND:*The ASVspoof 2019 challenge follows on from two previous ASVspoof challenges, held in 2015 and 2017. The 2015 edition focused on spoofed speech generated with text-to-speech (TTS) and voice conversion (VC) technologies. The 2017 edition focused on replay spoofing. The 2019 edition is the first to address all three forms attack and the latest, cutting-edge spoofing attack technology. *ADVANCES:* Today?s state-of-the-art, TTS and VC technologies produce speech signals that are as good as perceptually indistinguishable from bona fide speech. The LOGICAL ACCESS sub-challenge aims to determine whether the advances in TTS and VC pose a greater threat to the reliability of automatic speaker verification and spoofing countermeasure technologies. The PHYSICAL ACCESS sub-challenge builds upon the 2017 edition with a far more controlled evaluation setup which extends the focus of ASVspoof to fake audio detection in, e.g. the manipulation of voice-driven interfaces (smart speakers). *METRICS:* The 2019 edition also adopts a new metric, the tandem detection cost function (t-DCF). Adoption of the t-DCF metric aligns ASVspoof more closely to the field of ASV. The challenge nonetheless focuses on the development of standalone spoofing countermeasures; participation in ASVspoof 2019 does NOT require any expertise in ASV. The equal error rate (EER) used in previous editions remains as a secondary metric, supporting the wider implications of ASVspoof involving fake audio detection. *SCHEDULE:* Training and development data release: 19th December 2018 Evaluation data release: 15th February 2019 Deadline to submit evaluation scores: 22nd February 2019 Organisers return results to participants: 15th March 2019 INTERSPEECH paper submission deadline: 29th March 2019 *REGISTRATION:* Registration should be performed once only for each participating entity and by sending an email to registration at asvspoof.org with ?ASVspoof 2019 registration? as the subject line. The mail body should include: (i) the name of the team; (ii) the name of the contact person; (iii) their country; (iv) their status (academic/non-academic), and (v) the challenge scenario(s) for which they wish to participate (indicative only). Data download links will be communicated to registered contact persons only. *MAILING LIST:* Subscribe to general mailing list by sending e-mail with subject line ?subscribe asvspoof2019? to *sympa at asvspoof.org *. To post messages to the mailing list itself, send e-mails to *asvspoof2019 at asvspoof.org * *ORGANIZERS*:* Junichi Yamagishi, NII, Japan & Univ. of Edinburgh, UK Massimiliano Todisco, EURECOM, France Md Sahidullah, Inria, France H?ctor Delgado, EURECOM, France Xin Wang, National Institute of Informatics, Japan Nicholas Evans, EURECOM, France Tomi Kinnunen, University of Eastern Finland, Finland Kong Aik Lee, NEC, JAPAN Ville Vestman, University of Eastern Finland, Finland * Equal contribution *CONTRIBUTORS:* University of Edinburgh, UK Nagoya University, Japan University of Science and Technology of China, China iFlytek Research, China Saarland University / DFKI GmbH, Germany Trinity College Dublin, Ireland NTT Communication Science Laboratories, Japan HOYA, Japan Google LLC (Text-to-Speech team, Google Brain team, Deepmind) University of Avignon, France Aalto University, Finland University of Eastern Finland, Finland EURECOM, France *FURTHER INFORMATION:* *info at asvspoof.org * -- Md Sahidullah website: *https://sites.google.com/site/iitkgpsahi/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From julien.vitay at informatik.tu-chemnitz.de Mon Jan 14 09:27:57 2019 From: julien.vitay at informatik.tu-chemnitz.de (Julien Vitay) Date: Mon, 14 Jan 2019 15:27:57 +0100 Subject: Connectionists: [jobs] *Deadline 31.01.2019* Faculty position in Neurorobotics at Chemnitz University of Technology (Germany) Message-ID: The Department of Computer Science at Chemnitz University of Technology (Germany) invites applications for a faculty position in Neurorobotics (W2-Professor with W3 Tenure-Track-Option). Please note that the position is initially limited to a duration of six years and requires a positive tenure review beginning 4 years after starting the position to be continued for an indefinite period as a W3 position. Further, the position includes teaching obligations. Courses can be given in English. Applicants are encouraged to submit their application by January 31, 2019. The complete job advertisement (in German) can be found here: https://www.tu-chemnitz.de/verwaltung/personal/stellen/W2-Neurorobotik.php Informal inquiries can be addressed to: Prof. Dr. Fred Hamker, Chair of the Search Committee (fred.hamker at informatik.tu-chemnitz.de). Best regards Julien Vitay -- Professur f?r K?nstliche Intelligenz Fakult?t f?r Informatik Technische Universit?t Chemnitz, 09107 Chemnitz (+49) 371 531-39468 julien.vitay at informatik.tu-chemnitz.de http://www.tu-chemnitz.de/~vitay/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From monique.kuglitsch at hhi.fraunhofer.de Mon Jan 14 07:44:00 2019 From: monique.kuglitsch at hhi.fraunhofer.de (Kuglitsch, Monique) Date: Mon, 14 Jan 2019 12:44:00 +0000 Subject: Connectionists: =?utf-8?q?Get_involved!_ITU/WHO_Focus_Group_on_?= =?utf-8?q?=E2=80=9CArtificial_Intelligence_for_Health=E2=80=9D_=28FG-AI4H?= =?utf-8?q?=29?= Message-ID: <3FCC253D-70AB-48A6-86CF-F3A6DCF1E4EB@hhi.fraunhofer.de> To Whom It May Concern: I am writing on behalf of the Focus Group on ?Artificial Intelligence for Health? (FG-AI4H). With this email, I would like to inform you of our activities. Furthermore, I would like to invite you and your colleagues to become involved in this important project. Please mark your calendar for our upcoming workshop/meetings: 22?25 January 2019 at the Swiss Tech Convention Center in Lausanne, Switzerland (details and registration can be found here); and 2?5 April 2019 in Shanghai, China. As you may be aware, ?big data? and powerful artificial intelligence (AI) algorithms promise to revolutionize healthcare and research. However, while AI algorithms can assist with many tasks in health including diagnosis, decision-making, or early detection, these algorithms are highly complex and depend on the underlying training data. When AI algorithms are poorly designed and/or the training data are biased or incomplete, errors or problematic results can occur. Therefore, an AI algorithm should only be used with high confidence if it has been quality controlled through a rigorous evaluation against a system of standards. Towards developing such standards, the International Telecommunication Union (ITU) established FG-AI4H in partnership with the World Health Organization (WHO). ITU and WHO have considerable experience in the standardization of information/communication technologies and the health domain, respectively, making FG-AI4H ideally positioned for establishing a standard assessment framework of AI for health. The process is as follows. Iterant Calls for proposals: use cases and data are published (?use cases? refers to medical conditions that can be diagnosed with AI and for which medical data are available). The current version can be found here. The resulting proposals are presented and evaluated at the workshop/meetings. During the previous workshop/meeting, eight use cases were accepted by FG-AI4H. The press release, including the details of the use cases, can be found here. In the next phase of the project, training data from these use cases are made available to AI developers. Then, iterant Calls for AI technology for health are published. These AI applications are tested using confidential data from the respective use cases. As you can infer, the success of this project depends on active participation of the medical, machine learning, and regulatory communities. Therefore, I hope that you will visit the above links, consider the importance of this project, and become involved. Best wishes, Monique Kuglitsch -- Dr. Monique M. Kuglitsch Innovation Manager Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI Berlin, Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: From serge.thill at his.se Mon Jan 14 12:23:09 2019 From: serge.thill at his.se (Serge Thill) Date: Mon, 14 Jan 2019 17:23:09 +0000 Subject: Connectionists: CfP: Symposium on Explainable AI at AISB 2019 Message-ID: [Apologies for cross-posting] CfP: Symposium on Explainable AI at AISB 2019, April 16-19 2019 *Description* AI systems are increasingly present in everyday society, from simple computer systems to agents such as autonomous vehicles or social robots. In this context, it is often noted that it is critical to understand how human users perceive such systems - in particular, the degree to which they understand how the system works, and what mental models they build of the underlying algorithms. "Explainable AI" thus refers to AI systems that behave or provide the necessary information so that their working becomes comprehensible to the human user. The overall term can, however, cover various sub-disciplines ranging from machine learning researchers seeking to understand the functionality of black-box networks over researchers in decision support systems working on system awareness to cognitive scientists seeking to understand how humans understand intentions and other mental states in other agents. List of Topics The purpose of the present symposium is to bring together researchers from all aspects of XAI, and to foster an exchange of the current state of the art while facilitating the development of connections between different subfields of XAI. This is therefore intentionally intended to be broad so as to facilitate a diverse symposium that can cover diverse facets of XAI. Example topics include (but are certainly not restricted to): - Human expectations of intelligent systems - Methods by which various types of intelligent systems can generate explanations that are in line with human expectations. - XAI systems? design issues. - Evaluation of the effectiveness of such systems, methods and metrics. - Theoretical aspects of XAI. Definitions, challenges and future research. *Location* The symposium is part of AISB 2019 taking place in Falmouth, UK, April 16-19 2019 (link below) *Submission Guidelines* We will consider both extended abstracts (up to two pages) for poster presentation, and full papers (up to 8 pages) for oral or poster presentation. Please use the AISB template (link below) and submit a folder with the full source files (including images) if you use Latex, or both a Word and a PDF version if you prefer to use the Word template. Submissions are via EasyChair (link below). Submission deadline: 15 February 2019 Notification of acceptance: 8 March 2019 Camera-ready submission: 25 March 2019 *Invited Speakers* Tarek Besold, AI Lead & Senior Research Scientist "Trustworthy AI" @ Alpha Health AI Lab. Barcelona, Catalonia, Spain. *Organizing Committee* Serge Thill, Donders Institute for Brain, Cognition, and Behaviour, Netherlands Maria Riveiro, University of Sk?vde, Sweden *Contact* All questions about submissions should be emailed to the organizers at s.thill at donders.ru.nl or maria.riveiro at his.se *Websites* AISB 2019: http://aisb2019.falmouthgamesacademy.com/ Workshop information and paper submission: https://easychair.org/cfp/xai-aisb2019 AISB template: http://aisb2019.falmouthgamesacademy.com/programme/submissions/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From abby at ldv.co Mon Jan 14 15:13:20 2019 From: abby at ldv.co (Abigail Hunter-Syed) Date: Mon, 14 Jan 2019 15:13:20 -0500 Subject: Connectionists: Needed: Computer Vision PhDs to Judge CV Competition Message-ID: We are looking for PhD student volunteers to help with this year's *Entrepreneurial Computer Vision Competition (ECVC*) at the LDV Vision Summit , May 20-23 in NYC. Build relationships with leading computer vision researchers , gain experience evaluating submissions, sit-in on a judging panel with experts in computer vision & entrepreneurship , and connect with top CV/AI/ML companies. Total time commitment required: <8 hrs *Previous years' volunteers:* 2018: Ryan Benmalek (Cornell) 2017: Hani Altwaijry (Cornell -> Apple), Abhinav Shrivastava (CMU -> UMD/Google), Shaojun Zhu (Rugers -> ArgoAI) 2016: Oscar Beijbom (Berkeley -> nuTonomy/Delphi) and Andreas Veit (Cornell -> Google) 2015: Genevieve Patterson (Brown -> MSR) and Tsung-Yi Lin (Cornell -> Google) If you're interested, please reply to abby at ldv.co Look forward to hearing from you! -- *Abigail Hunter-Syed* *Director of Operations* *LDV Capital * -------------- next part -------------- An HTML attachment was scrubbed... URL: From cmummidise at sralab.org Mon Jan 14 18:13:26 2019 From: cmummidise at sralab.org (Krishna Mummidisetty) Date: Mon, 14 Jan 2019 17:13:26 -0600 Subject: Connectionists: Post-Doctoral Fellow Center for Bionic Medicine, Full time Message-ID: <201901142314.x0ENEtUJ084429@scs-mx-02.andrew.cmu.edu> Post-Doctoral Fellow Center for Bionic Medicine, Full time *Job Description* *General Summary* We are seeking a new Post-Doctoral fellow to work in the Max N?der Lab for Rehabilitation Technologies and Outcomes Research ( https://www.sralab.org/research/labs/max-nader-lab-rehabilitation-technologies-and-outcomes-research ) housed in the Center of Bionic Medicine located downtown Chicago at the Shirley Ryan AbilityLab. The Post-Doc Fellow will report to the PI of the lab Dr. Arun Jayaraman ( https://www.sralab.org/researchers/arun-jayaraman-pt-phd). The post doc will use data from wearable sensors/technologies and machine learning techniques to make clinical predictions and diagnostic tools. The position is supported by NIDILRR, DOD, and private funds provided by the Shirley Ryan AbilityLab. The position also includes collaborative work with Dr. Konrad Kording at University of Pennsylvania. A successful candidate should have a background in engineering, with knowledge or interest in biomedical applications and data science. Strong computational skills are required, with proficiency in MATLAB or Python. A moderate level of independence will be expected, including the ability to mentor undergraduate and graduate students. The Post-Doc Fellow will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute. The Post-Doc Fellow will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Shirley Ryan AbilityLab Values (Hope, Compassion, Discovery, Collaboration, & Commitment to Excellence) while fulfilling job duties. *Principal Responsibilities* 1. Design, execute, and interpret research pertaining to wearable sensor technology. This includes data collection, processing, and algorithm development to extract meaningful information from body-worn sensors. May also include research in computer vision and pose estimation. 2. Assist with development of collaborative projects within and outside the Shirley Ryan AbilityLab and test ideas for new projects development. 3. Apply for fellowships and grants for external lab funding and career development. 4. Develop, submit and publish the results of research projects in high quality journals and present data to public conferences/seminars when needed. 5. Participate weekly lab meetings, journal clubs and seminars. 6. Build and maintain a well-organized and accountable journal of own laboratory protocols, experiments, results and analyses. 7. Perform all other duties that may be assigned in the best interest of the AbilityLab. *Reporting Relationships* 1. Reports directly to the assigned Principal Investigator *Knowledge, Skills & Abilities Required* 1. Requires the academic knowledge associated with a doctorate degree in Biomedical Engineering (PhD), or equivalent. 2. Less than 4 years of postdoctoral training. 3. Excellent oral and written communication skills in English. 4. Able to work closely with patients, clinicians, and professional organizations. 5. Strong interpersonal and organizational skills needed to participate as a creative member of a growing research team. 6. Willingness to network within the organization and to independently strengthen/develop new external collaborations. 7. Able to timely plan and to coordinate project completions. *Working Conditions* 1. Open office environment with dedicated lab space. 2. Little or no exposure to dust or extreme temperature. Note: Candidates can send thier CV to Dr. Arun Jayaraman ( a-jayaraman at northwestern.edu) -- Chaithanya K Mummidisetty, MS Research Engineer-III The Max N?der Lab for Rehabilitation Technologies and Outcomes Research Center for Bionic Medicine Office of Translational Research Shirley Ryan AbilityLab, 355 E Erie, Room#1401 Chicago IL-60611. Ph: 312-238-1621 sralab.org max-nader-lab-rehabilitation-technologies-and-outcomes-research Facebook | Twitter | YouTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Mon Jan 14 18:04:43 2019 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Tue, 15 Jan 2019 01:04:43 +0200 Subject: Connectionists: ACM Multimedia 2019: 1st Call-for-Papers/Call-for-Contributions Message-ID: ACM Multimedia 2019 21-25 October 2019, Nice, France https://www.acmmm.org/2019/ 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. A special part of the conference is the interactive art program, which explores the boundaries of computer science and art. The conference is structured around four themes (alphabetical): - Engaging users with multimedia - Multimedia experience - Multimedia systems - Understanding multimedia content Details on the conference themes are available on the conference website: https://www.acmmm.org/2019/ In addition to the regular-paper track, ACM Multimedia features tutorials, a Grand Challenge competition, an open-source software competition, a Brave New Ideas session, a doctoral symposium, panels, demos, workshops, and artwork. Regular updates on all facets of the conference will appear on the conference website. For important dates, please refer to: https://www.acmmm.org/2019/important-dates We also draw your attention to the closest upcoming deadlines, which call for important contributions to the conference: *Call for Volunteer Area Chairs and Reviewers* Deadline: Friday 1 February 2019 For the first time at ACM Multimedia, we are inviting applications from all members of the multimedia research community to join and serve on the technical program committee, either as Area Chair or Technical Program Committee member. This call aims to broaden participation in the review process, and ensure a diverse set of TPC members. See the call for volunteers at: https://www.acmmm.org/2019/call-for-volunteers *Call for Workshop Proposals* 2nd round deadline: Friday 15 February 2019 https://www.acmmm.org/2019/call-for-workshops/ ACM Multimedia 2019 General Chairs, Program Coordinator, and Technical Program Committee Chairs Laurent Amsaleg, CNRS-IRISA, France Benoit Huet, EURECOM, France Martha Larson, Radboud University, Netherlands Tat-Seng Chua, National University of Singapore Guillaume Gravier, CNRS-IRISA, France Hayley Hung, Delft University of Technology, Netherlands Chong-Wah Ngo, City University of Hong Kong Wei Tsang Ooi, National University of Singapore On behalf of the Publicity Chairs, Bogdan Ionescu University Politehnica of Bucharest, Romania http://campus.pub.ro/lab7/bionescu/ From erdi.peter at wigner.mta.hu Mon Jan 14 17:27:45 2019 From: erdi.peter at wigner.mta.hu (=?ISO-8859-2?Q?=C9rdi_P=E9ter?=) Date: Mon, 14 Jan 2019 23:27:45 +0100 (CET) Subject: Connectionists: systems neuroscience summer program in Budapest Message-ID: Our Dear Colleagues: BSCS-US http://www.bscs-us.org/ announces the study abroad programs in Budapest: Systems Neuroscience: a study abroad summer program Program start/end dates: June 10th - Aug 2d, 2019 The BSCS Systems Neuroscience Program takes place at and academically supervised by the Department of Anatomy, Histology and Embryology, Semmelweis University Medical School, Budapest. Transcript is issued by the Registrar of the Semmelweis University Medical School, and sent directly to the Registrar of your college/university. For details, see: http://sysneuro-semester.org/ [sysneuro-semester.org] Inquiry: Program directors / academic supervisors P?ter ?rdi perdi at kzoo.edu L?szl? N?gyessy John Milton Office: bscs at bscs-us.org With kind regards, P?ter ?rdi http://people.kzoo.edu/~perdi/ aboutranking.com https://www.ijcnn.org/ From george at cs.ucy.ac.cy Tue Jan 15 08:06:33 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 15 Jan 2019 15:06:33 +0200 Subject: Connectionists: The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Last Call for Papers In-Reply-To: <87A185A1-0F32-441B-A0D0-F088969A82DF@cs.ucy.ac.cy> References: <9D907F9B-A04A-43F0-8623-6D92E4132AC9@cs.ucy.ac.cy> <46CA4E92-4B9B-4D1B-8B60-A1D0C2701DE3@cs.ucy.ac.cy> <24094F96-58F5-466E-A748-E91B9EC6E8A2@cs.ucy.ac.cy> <95F40EA8-2662-46AD-B301-3385D4B8601B@cs.ucy.ac.cy> <05EDB924-A9A7-4E3B-8E36-05EAE5D4242A@cs.ucy.ac.cy> <6FC69A4B-F456-4336-A7CC-2AAE2723CB67@cs.ucy.ac.cy> <3D0926CD-0237-493E-BBD1-914DD649F38F@cs.ucy.ac.cy> <66C85F2E-2E7D-4CFC-9BFF-ED6926E34DD9@cs.ucy.ac.cy> <87A185A1-0F32-441B-A0D0-F088969A82DF@cs.ucy.ac.cy> Message-ID: *** LAST CALL FOR PAPERS *** 27th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) ?Making Personalization Transparent: Giving control back to the User" Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019 https://www.um.org/umap2019/ Abstracts due: January 25, 2019 (mandatory) Papers due: February 1, 2019 BACKGROUND AND SCOPE ACM UMAP, "User Modeling, Adaptation and Personalization", is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB. The proceedings are published by ACM and will be part of the ACM Digital Library. ACM UMAP covers a wide variety of research areas where personalization and adaptation may be applied. This include (but is in no way limited to) a number of domains in which researchers are engendering significant innovations based on advances in user modeling and adaptation, recommender systems, adaptive educational systems, intelligent user interfaces, e-commerce, advertising, digital humanities, social networks, personalized health, entertainment, and many more. This year the conference hosts three new tracks, one on privacy and fairness, one on personalized music access, and one on personalized health. CONFIRMED INVITED SPEAKERS ? Marios Avraamides, University of Cyprus ? Judith Masthoff, Utrecht University ? Mounia Lalmas-Roelleke, Spotify London CONFERENCE TRACKS Track 1 - Personalized Recommender Systems Chairs: Marko Tkalcic, Free University of Bozen-Bolzano, marko.tkalcic at unibz.it Alan Said, University of Sk?vde, alansaid at acm.org Personalized, computer-generated recommendations have become a pervasive feature of today?s online world. The underlying recommender systems are designed to help users and providers in a number of ways. From a user?s viewpoint, for example, these systems assist consumers in finding relevant things within large item collections. On the other hand, from a provider?s perspective, recommenders have also shown to be valuable tools to steer consumer behavior. From a technical perspective, the design of such systems requires the careful consideration of various aspects, including the choice of the user modeling approach, the underlying recommendation algorithm, and the user interface. This track aims to provide a forum for researchers and practitioners to discuss open challenges, latest solutions and novel research approaches in the field of recommender systems. Besides the above-mentioned technical aspects, works are also particularly welcome that address questions related to the user perception and the business value of recommender systems. Topics include (but are not limited to): ? Recommendation algorithms ? Recommender and personalization system evaluation ? User modeling and preference elicitation ? Users? perception of recommender systems ? Business value of recommendation systems and multi-stakeholder environments ? Explanations and trust ? Context-aware recommendation algorithms ? Recommending to groups of users ? Case studies of real-world implementations ? Novel, Psychology-informed User- and Item-modeling Track 2 - Adaptive Hypermedia And The Semantic Web Chairs: Liliana Ardissono, University of Torino, liliana.ardissono at unito.it Katrien Verbert, KU Leuven, katrien.verbert at cs.kuleuven.be Adaptive hypermedia and adaptive web explore alternatives to the traditional ?one-size-fits-all? approach in the development of web and hypermedia systems. Adaptive hypermedia and adaptive web systems build a model of the interests, preferences and knowledge of each individual user, and use this model in order to adapt the behavior of hypermedia and web systems to the needs of that user. Semantic web frequently serves as an infrastructure to enable adaptive and personalized Web systems. Semantic web technology targets the use of explicit semantics and metadata to help web systems perform the desired functionality: this implies the use of linked data from the web, the use of ontologies in models, or the use of metadata in user interfaces, as well as the use of ontologies for information integration. This track aims to provide a forum to researchers to discuss open research problems, solid solutions, latest challenges, novel applications and innovative research approaches in adaptive hypermedia and semantic web. Topics include (but are not limited to): ? Web user profiles ? Adaptive navigation support ? Personalized search ? Web content adaptation ? Analytics of web user data ? Adaptive web sites and portals ? Adaptive books and textbooks ? Social navigation and social search ? Navigation support in continuous media and virtual environments ? Usability engineering for adaptive hypermedia and web systems ? Novel methodologies for evaluating adaptive hypermedia and web systems ? Semantic Web technologies for web personalization ? Ontology-based data access and integration/exchange on the adaptive web ? Ontology engineering and ontology patterns for the adaptive web ? Ontology-based user models ? Semantic social network mining, analysis, representation, and management ? Crowdsourcing semantics; methods, dynamics, and challenges ? Semantic Web and Linked Data for adaptation Track 3 - Intelligent User Interfaces Chairs: Li Chen, Hong Kong Baptist University, lichen at comp.hkbu.edu.hk Jingtao Wang, Google, jingtaow at acm.org Intelligent User Interfaces aim to improve the interaction between computer systems and human users by means of Artificial Intelligence. The systems support and complement different types of abilities that are normally unavailable in the context of human-only cognition. Previous work has found that humans do not always make the best possible decisions when working together with computer systems. By designing and deploying improved forms of support for interactive collaboration between human decision makers and systems, we can enable decision making processes that better leverage the strengths of both collaborators. More generally this research track can be characterized by exploring how to make the interaction between computers and people smarter and more productive, which may leverage solutions from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning. Topics include (but are not limited to): ? Adaptive personal virtual assistants (e.g., interaction with robots) ? Adapting natural interaction (e.g., natural language, speech, gesture) ? Intelligent user interfaces based on sensor data (UIs for cars, fridges, etc.) ? Multi-modal interfaces (speech, gestures, eye gaze, face, physiological info, etc.) ? Intelligent wearable and mobile interfaces ? Smart environments and tangible computing ? Transparency and control of decision support systems (e.g., semi-autonomous systems) ? Explainable intelligent user interfaces ? Affective and aesthetic interfaces ? Tailored persuasion and argumentation interfaces ? Tailored decision support (e.g., over- and under-reliance in uncertain domains) ? Adaptive information visualization ? Scalability of intelligent user interfaces to access huge datasets ? User-centric studies of interactions with intelligent user interfaces ? Novel datasets and use cases for intelligent user interfaces ? Evaluations of intelligent user interfaces Track 4 - Personalized Social Web Chairs: Ilaria Torre, University of Genova, ilaria.torre at unige.it Osnat Mokryn, omokryn at univ.haifa.ac.il The social web is continuously growing and social platforms are a fundamental part of our life. Mediated communication is becoming the primary form of communication for young people, and adults follow in increasing numbers. Online communication is increasingly enriched by the use of memes, pictures, audio and video, though language (textual and oral) remains a fundamental tool with which people interact, convey their opinions, construct and determine their social identity. Lifelogging data (e.g., health, fitness, food) is growing as well on the social web. This type of personal information source, gathered for private use through personal devices, is now often shared in online communities. These trends open new challenges for research: how to harness the power of collective intelligence and quantified self data in online social platforms to identify social identities, how to exploit continuous feedback threads, and how to improve the individual user experience on the social web. We invite original submissions addressing all aspects of personalization, user models building and personal experience in online social systems. Topics include (but are not limited to): ? Personalization of the web experience in social systems ? Adaptations based on personality, society, and culture ? Personalization algorithms and protocols inspired by human societies ? Social recommendation ? Identifying social identities in social media ? Social and crowd-generated data for adaptation ? Personalized information retrieval ? Exploiting quantified self data on the social web of things ? Data-driven approaches for personalization ? Modeling individuals, groups, and communities ? Collective intelligence and experience mining ? Pattern and behaviour discovery in social network analysis ? Opinion mining for user modeling ? Sentiment analysis ? Topic modeling for online conversations and short texts ? Privacy, perceived security, and trust in social systems ? Ethical issues involved in studying the social web ? User awareness and control ? Evaluation methodologies for the social web Track 5 - Technology-Enhanced Adaptive Learning Chairs: Jes?s G. Boticario, UNED, jgb at dia.uned.es Inge Molenaar, Radboud University, i.molenaar at pwo.ru.nl At large there is an on-going ?fusion? between humans and technological systems. The ongoing integration of devices into our daily lives furthers the integration of technology in human learning. With technology increasingly gaining more data and intelligence, a new era of technology-enhanced adaptive learning is emerging. Consequently, the interactions between learners, teachers and technology are becoming increasingly complex. Learning is a positioned as a complex human process that involves cognitive, metacognitive, motivational, affective and psychomotor aspects which interact with the learning context. Smart technological solutions are increasingly able to identify and model the learner needs on these five aspects and accordingly provide personalized support that can improve the effectiveness, efficiency and satisfaction of learning experiences. Current research in artificial intelligence combined with data science and learning analytics bring new opportunities to recognize, and effectively support individual learners? needs and orchestrate collaborate and classroom learning with intelligent learning solutions, and augment teachers in blended learning situations. The aim of this track is to foreground the systematic complexity of human learning and use systematic analytic approaches to measure, diagnose and support human learning with technologies. This covers not only formal educational settings, but also lifelong learning requirements (including workplace training) as well as the acquisition of skills informal learning settings (e.g., in daily activities, serious games, sports, healthcare, wellbeing, etc.). To address the wide spectrum of modeling issues and challenges that can be raised, contributions from various research areas are welcome. Therefore, this track invites researchers, developers, and practitioners from various disciplines to present their innovative adaptive learning solutions, share acquired experience, and discuss the main modeling challenges for technology enhanced adaptive learning. Topics include (but are not limited to): ? Domain, learner, teacher and context modeling ? Modeling cognitive, metacognitive, motivational, affective and psychomotor aspects of learning ? Diagnosis of learner needs and calibration of support and feedback Adaptive and personalized support for learning ? Dealing with ethical issues involved in detecting and modeling a wider range of information sources (e.g., information from novel sensing devices, ambient intelligent features) that may affect learning ? Management of large, open, and public datasets for educational data mining ? Agent-based learning environments and virtual pedagogical agents ? Open corpus personalized learning ? Collaborative and group learning ? Adaptive technologies to orchestrated classroom Learning ? Personalized teachers awareness and support tools ? Multimodal learning analytics to personalize learning ? UMAP aspects in specific learning solutions: educational recommender systems, intelligent tutoring systems, serious games, personal learning environments, MOOCs ? Wearable technologies and augmented reality in adaptive personalized learning ? Processing collected data for UMAP: educational data mining, learning analytics, big data, deep learning. ? Semantic web and ontologies for e-learning ? Interoperability, portability, and scalability issues ? Case studies in real-world educational settings ? New methodologies to develop user-centered highly personalized learning solutions Track 6 - Privacy And Fairness Chairs: Bart Knijnenburg, Clemson University, bartk at clemson.edu Esma Aimeur, University of Montreal, aimeur at iro.umontreal.ca Adaptive systems researchers and developers have a social responsibility to care about their users. This involves building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, and protect users' privacy. We invite papers that study, in the context of UMAP, the topics of privacy (as well as innovative means to resolve privacy problems through algorithms, interfaces, or other technical or non-technical means), fairness (covering the spectrum from algorithmic fairness to social implications of adaptive systems), and transparency (as a concept of system usability as well as a means to resolve problems with privacy and fairness). Beyond this we encourage authors to submit to this track any work that ascribes to or advances the general idea of "adaptive systems that care?. Privacy topics: ? Analysis of privacy implications of user modeling ? Privacy compliance ? Algorithmic solutions to privacy ? Architectural solutions to privacy ? Interactive solutions to privacy ? Usable privacy for adaptive systems ? User perceptions of privacy in UMAP applications ? Studies of users? privacy-related behaviors in UMAP applications ? Descriptions or evaluations of privacy-settings user interfaces ? Privacy prediction / personalization ? User-tailored approaches to privacy ? Privacy education for user modeling ? Modeling of data protection and privacy requirements ? Economics of privacy and personal data ? Measuring privacy Fairness topics: ? Ethical considerations for user modeling ? UMAP applications for underrepresented groups ? Cultural differences (e.g. culture-aware user modeling) ? Bias and discrimination in user modeling ? Imbalance in meeting the needs of different groups of users ? Balancing needs of users versus system owners ? Ethics of explore/exploit strategies or A/B testing ? ?Filter bubble? or ?balkanization? effects ? Enhancing/embracing diversity in user modeling ? Algorithmic methods for increasing fairness ? User perceptions of fairness ? Measuring fairness Transparency topics: ? User perceptions of transparency ? Transparent algorithms ? Interface innovations that increase transparency ? Explanations for transparency ? Visualizations for transparency ? Adaptive systems for self-actualization ? (User-centric) evaluations of methods that increase transparency ? Measuring transparency Track 7 - Personalized Music Access Chairs: Markus Schedl, University of Linz, markus.schedl at jku.at Nava Tintarev, TU Delft, n.tintarev at tudelft.nl Music access systems (e.g., search, retrieval, and recommendation systems) have experienced a boom during the past decade due to the availability of huge music catalogs to users, anywhere and anytime. These systems record information on user behavior in terms of actions on music items, such as play, skip, or playlist creation and modification. As a result, an abundance of user and usage data has been collected and is available to companies and academics, allowing for user profiling and to create and improve personalized music access. This track addresses unsolved challenges in this area relating to user understanding and modeling, personalization in recommendation and retrieval systems, modeling usage context, and adapting interactive intelligent music interfaces. This track aims to provide a forum for researchers and practitioners for the latest research on? user modeling and personalization for finding, making, and interacting with music. Topics include (but are not limited to): ? Personalized music preference elicitation and preference learning ? Psychological modeling of music listeners (e.g., personality, emotion, etc.) ? Subjective perceptions of music (e.g., similarity, mood, tempo) social and cultural aspects of listening behavior (e.g., for group recommenders) ? Applications for personalized music consumption and creation ? Personalized playlist generation and continuation (e.g., sequences and transitions) ? Personalized music interaction and interface paradigms (e.g., visualization, VR) ? Explainability, transparency, and fairness in personalized music ? Systems user-centric performance measures (e.g., diversity, novelty, serendipity, etc.) ? Datasets (including benchmarks) for personalizing music retrieval and recommendation Track 8 - Personalized Health Chairs: Christoph Trattner, University of Bergen, trattner.christoph at gmail.com David Elsweiler, University of Regensburg, david at elsweiler.co.uk Growing health issues and rising treatment costs mean that technological systems are increasingly important for global health. Personalised systems, tailored to the needs and behaviours of individual patients, are one of the promising approaches to health promotion by encouraging lifestyle change, managing treatment programmes and providing doctors and other healthcare providers with detailed individualized feedback. The challenges to developing such systems, which model user needs and preferences, as well as appropriate medical knowledge to provide assistance and recommendations are plentiful. The diverse technologies which could potentially feature in solutions are equally vast, ranging from AI systems to sensors, from mobile computing, augmented reality and visualization, to mining the web or other data streams to learn about health issues and user behaviour. In this track we invite scholars working in these or related areas to contribute to the discourse on how technology can promote health. This track aims to provide a forum to researchers to discuss open research problems, solid solutions, latest challenges, novel applications and innovative research approaches and in doing so to strengthen the community of researchers working on Personalized Health and attract representatives from from diverse scholarly backgrounds ranging from computer and information science to public health, epidemiology, psychology, medicine, nutrition and fitness. Topics include (but are not limited to): ? Algorithms and Recommendation Strategies to increase health ? Mobile health ? Quantified self ? Applied data analytics and modeling for health ? Health risk modeling and forecasting ? Systems for Preventative Measures ? Medical Evaluation Techniques ? Domain Knowledge Representation ? Behavioral Interventions: Persuasion/Nudging/Behavioral Change ? HCI, Interfaces and Visualisations for health ? Regulations and Standards ? Human/ Expert-in-the-Loop ? Gamification and Serious Games ? Privacy, Trust, Ethics ? Datasets SUBMISSION AND REVIEW PROCESS Papers should be submitted through EasyChair: https://easychair.org/conferences/?conf=acmumap2019 The ACM User Modeling, Adaptation, and Personalization (ACM UMAP) 2019 Conference will include high quality peer-reviewed papers related to the above key areas. Maintaining the high quality and impact of the ACM UMAP series, each paper will have three reviews by program committee members and a meta-review presenting the reviewers? consensual view; the review process will be coordinated by the program chairs in collaboration with the corresponding area chairs. Long (8 pages + references) and Short (4 pages + references) papers in ACM style, peer reviewed, original, and principled research papers addressing both the theory and practice of UMAP and papers showcasing innovative use of UMAP and exploring the benefits and challenges of applying UMAP technology in real-life applications and contexts are welcome. Long papers should present original reports of substantive new research techniques, findings, and applications of UMAP. They should place the work within the field and clearly indicate innovative aspects. Research procedures and technical methods should be presented in sufficient detail to ensure scrutiny and reproducibility. Results should be clearly communicated and implications of the contributions/findings for UMAP and beyond should be explicitly discussed. Short papers should present original and highly promising research or applications. Merit will be assessed in terms of originality and importance rather than maturity, extensive technical validation, and user studies. For both long papers and short paper submissions, it is not required to anonymize the manuscripts, i.e., ACM UMAP will apply a single-blind reviewing process. Separation of long and short papers will be strictly enforced so papers will not compete across categories, but only within each category. Papers that receive high scores and are considered promising by reviewers, but didn?t make the acceptance cut, will be directed to the poster session of the conference and will be invited to be resubmitted as posters. Papers must be formatted using the ACM SIG Standard (SIGCONF) proceedings template: https://www.acm.org/publications/proceedings-template . Please note that ACM changed its templates at the start of 2017, so please ensure that you use the new template and do not reuse an old template. All accepted papers will be published by ACM and will be available via the ACM Digital Library. At least one author of each accepted paper must register for the conference and present the paper there. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) IMPORTANT DATES ? Abstract: January 25, 2019 (mandatory) ? Full paper: February 1, 2019 ? Notification: March 11, 2019 ? Camera-ready: April 3, 2019 ? Adjunct proceedings, camera ready: April 15, 2018 Note: The submissions times are 11:59pm AoE time (Anywhere on Earth). GENERAL CHAIRS ? George A. Papadopoulos, University of Cyprus, Cyprus ? George Samaras, University of Cyprus, Cyprus ? Stephan Weibelzahl, PFH Private University of Applied Sciences, G?ttingen, Germany RELATED EVENTS Separate calls will be later sent for Workshops and Tutorials, Doctoral Consortium, Demos, Late Breaking Results and Theory, Opinion and Reflection works, as they have different deadlines and submission requirements. -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Tue Jan 15 06:41:21 2019 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 15 Jan 2019 12:41:21 +0100 Subject: Connectionists: [Deadline Extended] Special Issue on EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction In-Reply-To: References: Message-ID: *********************************************************************** Apologize if you receive multiple copies of this message. Please disseminate this CFP to your colleagues and contacts. *********************************************************************** *Due to a number of extension requests, the deadline is extended to February 15th, 2019.* *__________________________* *Special Issue on Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction* *Journal of Biomedical Research * _Submission deadline: February__15th, 2019_** Epilepsy is the most common neurological disorder of the brain that affects people worldwide at any age from newborn to adult. It is characterized by recurrent seizures, which are brief episodes of signs or symptoms due to abnormal excessive or synchronous neuronal activity in the brain. The electroencephalogram, or EEG, is a physiological method to measure and record the electrical activities generated by the brain from electrodes placed on the surface of the scalp. EEG has become the most used signal for detecting and predicting epileptic seizures. Machine learning for EEG signal processing constitute an important area of artificial intelligence dealing with the setting up of automated computer-aided systems allowing to help the medical staff, e.g. neurophysiologists, for detecting and predicting epileptic seizure activities from EEG signals. It offers solutions to difficult biomedical engineering problems related to detecting and predicting EEG Epileptic seizures. In the light of the rapid development of machine learning tools for signal processing, this special issue aims to solicit original research papers as well as review articles focusing on recent advances in EEG signal processing and machine learning for Epileptic seizure detection and prediction. Topics of interest should be related to Epileptic seizure detection and/or prediction, and include (but are not limited to) the following: - EEG signal processing - Time-frequency EEG signal analysis - Non-stationary EEG signal analysis - EEG feature extraction and selection - Machine learning for EEG signals - EEG classification and clustering - Deep learning for EEG - EEG Big Data - EEG-based BCI (Brain-Computer Interface) - Internet of things for prediction - EEG-based computer-aideddiagnosis systems - Related applications *Important Dates:* Submission deadline: *February 15th, 2019* Completion of first-round reviews: March 15th, 2019 Submission deadline for revised papers: April 15th, 2019 Final acceptance/rejection notification: May 15th, 2019 Publication: May 2019* * *Submission Guidelines:* - All submissions have to be prepared according to the Guide for Authors as published in the Journal Web Site: http://www.jbr-pub.org.cn - Submissions should be sent through: https://mc03.manuscriptcentral.com/jbrint - Authors should select the acronym "Special Issue: *AESPMLESDP*" as the article type, from the manuscript type menu during the submission process. *Guest Editor:* Dr. Larbi Boubchir, Associate Professor, LIASD research Lab. - University of Paris 8, France Email: larbi.boubchir at ai.univ-paris8.fr -- _____________________________________________________ Larbi Boubchir, PhD, SMIEEE Associate Professor LIASD - University of Paris 8 2 rue de la Libert?, 93526 Saint-Denis, France Tel. (+33) 1 49 40 67 95 Email. larbi.boubchir at ai.univ-paris8.fr http://www.ai.univ-paris8.fr/~boubchir/ _____________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From k.schwarzwaelder at fz-juelich.de Tue Jan 15 08:11:57 2019 From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder) Date: Tue, 15 Jan 2019 14:11:57 +0100 Subject: Connectionists: Bernstein Conference 2019 in Berlin: Call for Workshop Proposals In-Reply-To: <17c50305-40dd-81dc-eee2-6ec06dceb85d@fz-juelich.de> References: <17c50305-40dd-81dc-eee2-6ec06dceb85d@fz-juelich.de> Message-ID: <8245e722-4122-5c80-bbb3-6d9e6b1b524d@fz-juelich.de> The Bernstein Network Computational Neuroscience invites proposals for Satellite Workshops directly preceding the Bernstein Conference 2019 in Berlin. ************************************************************** Important Dates: Satellite Workshops: September 17 - 18, 2019 Main Bernstein Conference: September 18 - 20, 2019 Deadline for Satellite Workshop proposal submission: March 27, 2019, 3 pm CET (Deadline will not be extended!) Notification of Workshop acceptance: April 2019 Special in 2019: The Conference on Cognitive Computational Neuroscience (CCN) will be held back-to back with the Bernstein Conference on September 13 - 16. ************************************************************** The Bernstein Conference is the largest annual single-track Computational Neuroscience conference in Europe. It hosts pre-conference workshops which provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a mere series of talks. The selection criteria for workshop proposals will include scientific excellence, topical relevance and gender diversity. Satellite Workshop Schedule: September 17, 2019, 2:00 pm - 6:30 pm September 18, 2019, 8:30 am ? 12:30 pm Workshop proposals are welcome for either half-day or full-day workshops. Workshop Costs ? Financial Support: All organizers and speakers of accepted workshops will receive a waiver for the workshop fee. Organizers of accepted workshops additionally receive a waiver for the main conference. Coffee break catering will be provided. Up to 10 selected workshops can receive financial support up to 1.500,00 ? each. Instructions for Workshop Proposal Preparation: Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment 4) Optional: a comment on how the organizers plan to achieve gender diversity among speakers Please use the Workshop Proposal Form that can be downloaded here: www.bernstein-network.de/en/bernstein-conference/2019/satellite-workshops Deadline for submission of Workshop Proposals: March 27, 2019, 3 pm CET (Deadline will not be extended!) For further information about the conference, please visit the conference website www.bernstein-conference.de Contact: bernstein.conference(at)fz-juelich.de We are looking forward to seeing you in Berlin! Workshop Selection Committee: Tatjana Tchumatchenko (Workshop Chair) Tim Vogels (Workshop Vice Chair) Danielle Bassett Alexander Borst Alain Destexhe Tim Gollisch M?t? Lengyel Stephanie Palmer Elad Schneidman (Program Vice Chair) Susanne Schreiber (Program Chair) Terry Sejnowski Sara Solla Henning Sprekeler (Conference Chair and Host) Gina Turrigiano -- Dr. Kerstin Schwarzw?lder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder at fz-juelich.de Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder at fz-juelich.de web: www.nncn.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From arthur.flexer at ofai.at Tue Jan 15 09:47:45 2019 From: arthur.flexer at ofai.at (Arthur Flexer) Date: Tue, 15 Jan 2019 15:47:45 +0100 Subject: Connectionists: Call for Papers ISMIR 2019 - Delft, The Netherlands In-Reply-To: <5d7d126c-cb5d-7d28-ef6b-06bbc9f7920e@ofai.at> References: <5d7d126c-cb5d-7d28-ef6b-06bbc9f7920e@ofai.at> Message-ID: <62d0c339-3e48-3683-781b-cd56d4f86163@ofai.at> ============================================================ ISMIR 2019, Delft, The Netherlands, November 4-8 2019 20th International Conference on Music Information Retrieval http://ismir2019.ismir.net ============================================================ The annual conference of the International Society for Music Information Retrieval (ISMIR) is the world?s leading research forum on processing, analyzing, searching, organizing and accessing music-related data. Music becomes music after being processed by the human mind and each person perceives the music in a different and complex way. Therefore, this conference embraces the complexity and diversity of music by showcasing ideas and applications that aim to enhance the way in which we interact with music. Music Information Retrieval (MIR) is a truly interdisciplinary area, involving researchers, developers, educators, librarians, students and professionals from the disciplines of musicology, cognitive science, library and information science, computer science, electrical engineering and many others. The tagline for this year's conference is `Across the Bridge'. Our community reflects a diversity of scientific disciplines, seniority levels, professional affiliations, and cultural backgrounds. It always has been explicitly interested in fostering and stimulating this diversity, leading to better science and better music services. At ISMIR 2019, we want to explicitly encourage the community to take this a step further, and actively connect across the bridges between our backgrounds. Like previous editions, ISMIR 2019 will provide a venue for the exchange of ideas, issues, results and perspectives among the different profiles of people working with music and computing in a broad sense. ISMIR 2019 will cover the entire area of MIR, providing ample room for diversity and new developments. CALL FOR PAPERS ISMIR 2019 welcomes full-paper contributions to any aspect of Music IR. Relevant topics include, but are not limited to: - MIR data and fundamentals: music signal processing; symbolic music processing; linked data; semantic web; NLP, multimodality - Domain knowledge: representations of music; acoustics; computational music theory and musicology; cognitive MIR; machine learning and AI for music - Evaluation and Methodology: philosophical foundations; evaluation methodology; reproducibility; statistical methods; datasets and annotation protocols; metrics - Musical features and properties: melody and motives; harmony, chords and tonality; rhythm, beat, tempo; structure, segmentation; timbre, instrumentation and voice; style and genre, emotion and mood - Music processing: sound source separation; transcription and annotation, optical music recognition; alignment, synchronization and score following; summarization; synthesis; fingerprinting; classification; indexing and querying; similarity - User-centered MIR: user behavior and modeling; HCI and interfaces; personalization; user-centered evaluation; legal, social and ethical issues - Applications: digital libraries and archives; music retrieval, recommendation and playlist generation; music and health; training and education; composition, performance and production; gaming; business and marketing More details about submissions will be available at http://ismir2019.ewi.tudelft.nl/?q=call-for-papers Important Dates Abstract Submission, April 5, 2019 Final Submission, April 12, 2019 Notification of Acceptance, June 7, 2019 Camera-Ready Upload, June 28, 2019 Special paper category for ISMIR's 20th anniversary To commemorate this year's anniversary of 20 years of ISMIR conferences, we are looking for papers which reflect on the development of MIR as a research field by charting MIR's progress over the last two decades but also elaborate on MIR's future. Such papers should provide a critical state-of-the-art overview of a broader MIR problem area and at the same time discuss the midterm future of this research area. Only a few of these papers will be selected. These papers will have oral presentations at the conference, and extended versions will be considered for inclusion, together with a regular set of submissions, for a special issue of the TISMIR (Transactions of the International Society for Music Information Retrieval) journal. Scientific Program Chairs Arthur Flexer, Austrian Research Institute for Artificial Intelligence Geoffroy Peeters, LTCI - T?l?com ParisTech, France Juli?n Urbano, Delft University of Technology, The Netherlands Anja Volk, Utrecht University, The Netherlands General Conference Chairs Cynthia Liem, Delft University of Technology, The Netherlands Emilia G?mez, Universitat Pompeu Fabra, Spain From Pavis at iit.it Tue Jan 15 10:56:00 2019 From: Pavis at iit.it (Pavis) Date: Tue, 15 Jan 2019 15:56:00 +0000 Subject: Connectionists: Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision with applications to Biomedical Imaging - [ Postdoc ] 76330 BC In-Reply-To: <3408c2bcd2584d2da318b440c932ce08@iit.it> References: <3408c2bcd2584d2da318b440c932ce08@iit.it> Message-ID: Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision with applications to Biomedical Imaging - [ Postdoc ] Workplace: Genova, IIT, Italy The Pattern Analysis and Computer Vision Research Line at Istituto Italiano di Tecnologia (http://www.iit.it/pavis.html) is looking for a highly motivated post-doc that will carry out research on machine learning, pattern recognition and computer vision methods with particular interest but not limited to biomedical imaging applications. We are looking for a scientist with a solid background in computer vision and machine learning approaches and methods, to be adapted and customized to biomedical and neuroscientific applications. In particular, the research may focus on the following areas of interest: Analysis of multimodal neuroimaging data (fMRI, DTI, etc.) to characterize neurological and neurodegenerative diseases, with particular interest on functional and structural connectivity, and their fusion; Neuronal network and cell analysis from microscope fluorescence imaging, analysis of neural population spiking activity recorded from multi-electrodes array; Animal behavior from video data and electrophysiological recordings; Medical image analysis with applications to radiomics, possibly integration with genomics and proteomics; Monitoring of elderly people in a protected environment. Candidates for this position should have a Ph.D. in machine learning, pattern recognition, computer vision or related areas. Research experience and qualification following the above lines will be privileged. The ideal candidate should be knowledgeable within at least one of the following subjects: deep learning, kernel methods and manifold learning, graph-based learning and spectral analysis. Strong programming skill is required. Evidence of high quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is mandatory. Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The scientist is expected to publish his/her research results in leading international journals and conferences. She/he is also expected to contribute to the set-up of new project proposals, participate in funding activities, helping with the supervision of PhD candidates and collaborate with scientists from different disciplines. Salary will be commensurate to qualification and experience and in line with international standard. The working location is Genova, Italy. Further details and informal enquires can be made by email to pavis at iit.it quoting PAVIS-PD 76330 as reference number in the subject. To send your application please write an email to pavis at iit.it, quoting PAVIS-PD 76330 as reference number, along with a curriculum vitae a research statement also describing your previous research experience and outlining its relevance to the call topics and the names of at least 2 referees. This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by February 11th, 2019. Fondazione Istituto Italiano di Tecnologia (http://www.iit.it) is a non-profit institution created with the objective of promoting technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology. PAVIS focuses on the analysis and understanding of multimodal data, like signals, images, videos and patterns in general, having a wide expertise on image and signal processing, computer vision, pattern recognition and machine learning. The attention is on the design of intelligent systems for real applications, especially related, but not limited, to surveillance & security and biomedical imaging. More info on https://pavis.iit.it/ Please note that the data that you provide will be used exclusively for the purpose of professional profiles' evaluation and selection, and in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo[at]iit.it) Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. -------------- next part -------------- An HTML attachment was scrubbed... URL: From kashefy at ni.tu-berlin.de Tue Jan 15 11:50:12 2019 From: kashefy at ni.tu-berlin.de (Youssef Kashef) Date: Tue, 15 Jan 2019 17:50:12 +0100 Subject: Connectionists: PhD / postdoc position, Risk-sensitive choice and reinforcement learning under uncertainty In-Reply-To: References: Message-ID: Research Assistant (PhD / PostDoc position) Neural Information Processing Group Technische Universit?t Berlin Berlin, Germany Risk-sensitive choice and reinforcement learning under uncertainty Salary level: TV-L 13 (100%) Duration: 3 years Starting date: April 1st, 2019 Application deadline: February 15th, 2019 (but later applications may also be considered) Working field The successful candidate will join a DFG funded project (with Co-PI Dirk Ostwald, Freie Universit?t Berlin) which combines computational modelling with behavioral and fMRI experiments. The goal is to better understand human decision making and reward-based learning under perceptual uncertainty. The computational framework generalizes the risk-sensitive MDP approach of Yun et al. 2014 (Neural Comput. 26, 1298ff) to a POMDP-based behavioral modelling framework. Planned experiments address response time behavior and neural reinforcement learning processes under perceptual risk. The work program can be biased either towards computational or experimental work depending on the qualifications of the candidate. Qualifications Successfully completed university degree in a subject relevant to the work program; very good programming and English language skills; solid background in decision making and reward-based learning on a theoretical and / or experimental level; experience with computational modelling and the model-based analysis of behavioral and fMRI data is desirable. How to apply: Please send your application with the usual documents (CV, letter of motivation, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to Prof. Dr. Klaus Obermayer (FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstr. 23, 10587 Berlin) preferably by e-mail (klaus.obermayer at tu-berlin.de). Please send copies only. Original documents will not be returned. -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Tue Jan 15 13:15:29 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Tue, 15 Jan 2019 13:15:29 -0500 Subject: Connectionists: Call for Abstracts and Submission Guidelines: 2019 European Conference on Eye Movements (ECEM) In-Reply-To: <076f01d4acfe$335c61b0$9a152510$@neuralcorrelate.com> References: <06cf01d4acfc$21ae63c0$650b2b40$@neuralcorrelate.com> <06e701d4acfc$3a6b17a0$af4146e0$@neuralcorrelate.com> <076f01d4acfe$335c61b0$9a152510$@neuralcorrelate.com> Message-ID: <079801d4acfe$4f22d320$ed687960$@neuralcorrelate.com> CALL FOR ABSTRACTS - ECEM CONFERENCE Further information in the website: www.ecem2019.com Dear colleagues, It is a pleasure to announce that submission period for abstract is open for the next edition ECEM 2019 Conference. You may submit proposals for Talk, Poster or Symposia presentation within the following areas: * Fundamental / Basic Research * Clinical / Translational Research * Applied Research All instructions, including submission guidelines, as well as an abstract deadlines are outlined on the Conference Website: www.ecem2019.com The abstracts submission deadline for Talk & Poster is: Friday, April 05th See key dates here REGISTRATION PERIOD Register before the early fee deadline and save on fees. Early registration deadline: June 17th We look forward to welcoming you in Alicante! Organizing committee: Luis Martinez-Otero (chair), Albert Compte & Susana Martinez-Conde _____ _____ Contact: secretary at ecem2019.com Phone:(+34) 933 633 954 ALO CONGRESS c/ Numancia 73, 7? Pl C-2 08029 Barcelona -------------------------------------- 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: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 136073 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.png Type: image/png Size: 1666 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: image006.jpg Type: image/jpeg Size: 2434 bytes Desc: not available URL: From Sharon.Crook at asu.edu Tue Jan 15 22:08:33 2019 From: Sharon.Crook at asu.edu (Sharon Crook) Date: Wed, 16 Jan 2019 03:08:33 +0000 Subject: Connectionists: CNS*2019 Call for Abstracts and Registration Open In-Reply-To: <011300d3-9987-4a53-bf1d-7bd6a20120e7.10034551545.4128.1547607793447@memberclicks-mail.net> References: <011300d3-9987-4a53-bf1d-7bd6a20120e7.10034551545.4128.1547607793447@memberclicks-mail.net> Message-ID: CNS*2019 Call for Abstracts Organization for Computational Neurosciences (OCNS) 28th Annual Meeting Barcelona, Catalonia, Spain July 13-17, 2019 Local Organizers: Alex Roxin, Klaus Wimmer, Albert Compte, Jaime de la Rocha, Gemma Huguet Ramon The main meeting begins the evening of Saturday July 13 and runs through Tuesday July 16. It will be preceded by a day of tutorials (Saturday July 13) and followed by workshops (Tuesday July 16 mixed with the main meeting and Wednesday July 17 workshops only). Invited Keynote Speakers: Ed Bullmore, University of Cambridge Kenji Doya, Okinawa Institute for Science and Technology Mavi Sanchez-Vives, Universitat de Barcelona Ila Fiete, University of Texas Registration and abstract submission are open. Abstract submission deadline: March 4, 2019. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Travel awards are available for student and postdoc members of OCNS. Please apply using the checkbox on the abstract submission form and note that an extended abstract is required when applying for a travel award or oral presentation format. Registration: https://ocns.memberclicks.net/index.php?option=com_mc&view=mc&mcid=form_259444 Abstract Submission: https://www.cnsorg.org/cns-2019-abstract-submission Workshop proposals also are being accepted at: https://www.cnsorg.org/cns-2019-call-for-workshops For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2019-quick -------------------------------------------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org From Mark.vanRossum at nottingham.ac.uk Wed Jan 16 04:44:59 2019 From: Mark.vanRossum at nottingham.ac.uk (Mark van Rossum) Date: Wed, 16 Jan 2019 09:44:59 +0000 Subject: Connectionists: MSc and PhD programmes in Computational Neuroscience Message-ID: <89ea22f4-e9bf-5da6-72fa-035424c67611@nottingham.ac.uk> Dear all Applications are invited for our new MSc and PhD programmes in Computational Neuroscience in Nottingham. https://www.nottingham.ac.uk/pgstudy/courses/psychology/computational-neuroscience-cognition-ai-msc.aspx https://www.nottingham.ac.uk/pgstudy/courses/doctoral-training-programmes/engineering-physical-sciences-thematic-studentships.aspx A happy 2019 -- Mark van Rossum, Professor, Schools of Psychology and Maths, U Nottingham Psych Bldg Rm LG.19, +44-115-74-86851, +44-7722049644(m) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. From Albrecht_Zimmermann at gmx.net Wed Jan 16 05:29:50 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht_Zimmermann at gmx.net) Date: Wed, 16 Jan 2019 11:29:50 +0100 Subject: Connectionists: Tenured associate professor position in data science, University of Caen Normandie Message-ID: An HTML attachment was scrubbed... URL: From michael.felsberg at liu.se Wed Jan 16 07:32:33 2019 From: michael.felsberg at liu.se (Michael Felsberg) Date: Wed, 16 Jan 2019 12:32:33 +0000 Subject: Connectionists: SCIA 2019 Final call for papers Message-ID: The Scandinavian Conference on Image Analysis (SCIA) a biennal conference dating back to 1980. SCIA 2019 will be held in June 11-13 in Norrk?ping on the Link?ping University campus. The conference will feature three international invited speakers, and is co-located with the Swedish Symposium on Deep Learning (SSDL) which takes place June 10-11. The submission deadline, January 30, is approaching quickly, so please submit your manuscripts through the submission site: https://cmt3.research.microsoft.com/SCIA2019/ SCIA covers a broad range of image analysis and pattern recognition, including the following topics: 3D vision Color and multispectral image analysis Computational imaging and graphics Faces and gestures Feature extraction and segmentation Biometrics Document analysis Matching, registration and alignment Medical and biomedical image analysis Motion analysis and tracking Object and scene recognition Machine learning and pattern recognition Remote sensing image analysis Robot vision Video and multimedia analysis IR image processing Deep convolutional neural networks Signal processing and applications We welcome you to Norrk?ping next year. Conference chair: Jonas Unger, Link?ping University. Program chairs: Michael Felsberg, Link?ping University Per-Erik Forss?n, Link?ping University Ida-Maria Sintorn, Uppsala University. -- Professor Michael Felsberg?????????????? Tel: +46 13 282460 Computer Vision Laboratory???????????? Mobile: +46 702 202460 Link?ping University??????????????????????????? email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden??????????? http://users.isy.liu.se/cvl/mfe/ From michael.felsberg at liu.se Wed Jan 16 07:23:01 2019 From: michael.felsberg at liu.se (Michael Felsberg) Date: Wed, 16 Jan 2019 12:23:01 +0000 Subject: Connectionists: =?utf-8?q?Two_PhD_positions_within_WASP_AI_at_the?= =?utf-8?q?_Computer_Vision_Laboratory=2C_Link=C3=B6ping_University=2C_Swe?= =?utf-8?q?den?= Message-ID: Link?ping University advertises two positions as PhD student in Electrical Engineering with specialization in Computer Vision formally based at the Department of Electrical Engineering. The focus will be on representations learning and you will contribute to research projects within WASP (Wallenberg Artificial Intelligence, Autonomous Systems and Software Program). For further details and applying (deadline Jan 24), see https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=10209&rmlang=UK Looking forward to your applications! Best regards / med v?nliga h?lsningar Michael Felsberg -- Professor Michael Felsberg?????????????? Tel: +46 13 282460 Computer Vision Laboratory???????????? Mobile: +46 702 202460 Link?ping University??????????????????????????? email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden??????????? http://users.isy.liu.se/cvl/mfe/ From george at cs.ucy.ac.cy Wed Jan 16 11:06:23 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Wed, 16 Jan 2019 18:06:23 +0200 Subject: Connectionists: The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Third Call for Tutorial Proposals In-Reply-To: References: <9D907F9B-A04A-43F0-8623-6D92E4132AC9@cs.ucy.ac.cy> <46CA4E92-4B9B-4D1B-8B60-A1D0C2701DE3@cs.ucy.ac.cy> <24094F96-58F5-466E-A748-E91B9EC6E8A2@cs.ucy.ac.cy> <95F40EA8-2662-46AD-B301-3385D4B8601B@cs.ucy.ac.cy> <05EDB924-A9A7-4E3B-8E36-05EAE5D4242A@cs.ucy.ac.cy> <6FC69A4B-F456-4336-A7CC-2AAE2723CB67@cs.ucy.ac.cy> <3D0926CD-0237-493E-BBD1-914DD649F38F@cs.ucy.ac.cy> <66C85F2E-2E7D-4CFC-9BFF-ED6926E34DD9@cs.ucy.ac.cy> <87A185A1-0F32-441B-A0D0-F088969A82DF@cs.ucy.ac.cy> Message-ID: <10B49D4E-3C6A-4AE3-BBC6-679AB0B65AE9@cs.ucy.ac.cy> *** THIRD CALL FOR TUTORIAL PROPOSALS *** 27th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019 https://www.um.org/umap2019/ Proposals due: February 11, 2019 ACM UMAP 2019, the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and which collect, represent, and model user information, is pleased to invite proposals for tutorials to be given in conjunction with the conference. Tutorials are intensive instructional sessions aimed to provide a comprehensive introduction to established or emerging research topics of interest for the UMAP community. Topics of interest include, but are not limited to: ? new user modeling technologies, methods, techniques, and trends (e.g. exploiting data mining and big data analytics for user modeling, evaluation methodologies, data visualization, etc.); ? user modeling and personalization techniques for specific domains (e.g., health sciences, e-government, e-commerce, cultural heritage, education, internet of things, mobile, music, information retrieval, etc.); ? application of user modeling and personalization techniques for information retrieval and recommender systems; ? eliciting and learning user preferences by taking into account users? emotional state, physical state, personality, trust, cognitive factors. An ideal tutorial should be broad enough to provide a basic introduction to the chosen area, but it should also cover the most important topics in depth. Tutorial presenters can have one page in the adjunct proceedings. PROPOSAL FORMAT AND SUBMISSION Tutorial proposals should be submitted in PDF format to both tutorial chairs, not exceeding 5 pages and containing the following information: 1. Title and abstract of the tutorial for inclusion on the ACM UMAP 2019 website (200 words maximum). 2. Tutorial description: ? learning objectives of the tutorial and relevance to ACM UMAP 2019; ? targeted audience (introductory, intermediate, advanced) and prerequisite knowledge or skills; ? a brief outline of the tutorial structure; ? practical sessions. 3. Tutorial length: full (6 hours) or half day (3 hours). 4. Other venues to which the tutorial or part thereof has been or will be presented, in addition to explaining how the current tutorial differs from the other editions. 5. Name, email address, affiliation and brief professional biography of the tutorial instructor(s), indicating previous training and speaking experience. IMPORTANT DATES ? Tutorial proposals: February 11, 2019 ? Notification of acceptance: February 26, 2019 ? Tutorial summary camera-ready: April 3, 2019 ? Adjunct proceedings camera ready: April 15, 2019 ? Tutorial day: June 9, 2019 EVALUATION CRITERIA All proposals will be reviewed by the tutorial chairs. The features that will be evaluated are: 1. ability of the tutorial to contribute to strengthening the foundations of UMAP research; 2. clarity of the tutorial, which should emerge from its description; 3. good organization, as appearing from the outline; 4. background/experience of tutorial instructor(s) in teaching the target topics. TUTORIAL CHAIRS ? Milos Kravc?k, German Research Center for Artificial Intelligence (DFKI), Germany (milos.kravcik AT dfki.de) ? Iv?n Cantador, Universidad Aut?noma de Madrid, Spain (ivan.cantador AT uam.es) -------------- next part -------------- An HTML attachment was scrubbed... URL: From hananel at hazan.org.il Wed Jan 16 22:02:28 2019 From: hananel at hazan.org.il (Hananel Hazan) Date: Wed, 16 Jan 2019 22:02:28 -0500 Subject: Connectionists: BindsNET - A Machine Learning Spiking Neural Networks Library in Python Message-ID: [Apologies for cross-postings] Dear colleagues, It is our pleasure to introduce the release of the python package BindsNET and its companion paper in Frontiers in Bioinformatics ?BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python ?. BindsNET is a python package to simulate a spiking neuronal network using a GPU. The framework is easy and well in line with Python, NumPy and PyTorch standard that runs on CPU?s/GPU?s. BindsNet will serve both the novel researcher and the seasoned programmer wanting to perform rapid prototyping prior to diving into hardware implementation. To achieve maximum performance and flexibility, BindsNET re-purposes the powerful and flexible PyTorch library. By wrapping around PyTorch we avoid "reinventing the wheel" by reusing it's function and sub-modules for the spiking neuronal networks computational needs. For more details on performance, usability and code examples please see the Frontier paper as well in the GitHub repository . BindsNet welcomes researcher, students and neuro-scientists to both utilize and contribute to this leading-edge toolbox. *Happy spiking* Thanks Hananel Hazan Postdoctoral Research Associate BINDS Lab, UMass Amherst, USA http://Hananel.Hazan.org.il -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Thu Jan 17 06:45:58 2019 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Thu, 17 Jan 2019 11:45:58 +0000 Subject: Connectionists: LOD 2019 Call for Papers - The 5th International Conference on machine Learning, Optimization & Data science - Certosa di Pontignano (Siena) Tuscany, September 10-13, 2019 Message-ID: The 5th International Conference on machine Learning, Optimization & Data science - LOD An Interdisciplinary Conference: Deep Learning, Optimization and Big Data without Borders Certosa di Pontignano (Siena) Tuscany, September 10-13, 2019 https://lod2019.icas.xyz lod at icas.xyz The International Conference on Machine Learning, Optimization, and Data Science (LOD) has established itself as a premier interdisciplinary conference in machine learning, computational optimization, knowledge discovery and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences. LOD 2019 will be held in Certosa di Pontignano (Siena) ? Tuscany, Italy, from September 10 to 13, 2019. The conference will consist of four days of conference sessions. We invite submissions of papers on all topics related to Machine learning, Optimization, Knowledge Discovery and Data Science including real-world applications for the Conference Proceedings by Springer ? Lecture Notes in Computer Science (LNCS). LOD uses the formula of 30 minutes presentations for fruitful exchanges between authors and participants. Submission deadline: March 31, 2019 https://easychair.org/conferences/?conf=lod2019 Any questions regarding the submission process can be sent to conference organizers: lod at icas.xyz LOD 2019 KEYNOTE SPEAKERS =========== * Michael Bronstein, Imperial College London, UK Topics: Deep Learning on Graphs and Manifolds * Marco Gori, University of Siena, Italy Topics: Constraint-Based Approaches to Machine Learning * Arthur Gretton, UCL, UK Topics: Kernel Methods to Reveal Properties and Relations in Data * Arthur Guez Google DeepMind, London, UK Topics: General Reinforcement Learning Algorithms * Kaisa Miettinen, University of Jyv?skyl?, Finland Topics: Multiobjective Optimization & Decision Analytics * Jan Peters, Technische Universitaet Darmstadt Max-Planck Institute for Intelligent Systems, Germany Topics: Intelligent Autonomous Systems, Robotics & Machine Learning * Mauricio Resende, Amazon, USA Topics: Combinatorial Optimization & Heuristics * Richard E. Turner, University of Cambridge, UK Topics: Gaussian Processes & Computer Perception LOD 2019 Best Paper Award =============== Springer sponsors the LOD 2019 Best Paper Award with a cash prize of EUR 1,000. The Award will be conferred at the conference on the authors of the best paper award. https://lod2019.icas.xyz/best-paper-award/ Topics of Interest =============== The last five-year period has seen an impressive revolution in the theory and application of machine learning, optimization and big data. Topics of interest include, but are not limited to: * Deep Learning * Reinforcement Learning * Deep NeuroEvolution * Multi-Objective Optimization * Foundations, algorithms, models and theory of data science, including big data mining. * Machine learning and statistical methods for big data. * Machine Learning algorithms and models. Neural Networks and Learning Systems. Convolutional neural networks. * Unsupervised, semi-supervised, and supervised Learning. * Knowledge Discovery. Learning Representations. Representation learning for planning and reinforcement learning. * Metric learning and kernel learning. Sparse coding and dimensionality expansion. Hierarchical models. Learning representations of outputs or states. * Multi-objective optimization. Optimization and Game Theory. Surrogate-assisted Optimization. Derivative-free Optimization. * Big data Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data. * Big Data mining systems and platforms, and their efficiency, scalability, security and privacy. * Computational optimization. Optimization for representation learning. Optimization under Uncertainty * Optimization algorithms for Real World Applications. Optimization for Big Data. Optimization and Machine Learning. * Implementation issues, parallelization, software platforms, hardware * Big Data mining for modeling, visualization, personalization, and recommendation. * Big Data mining for cyber-physical systems and complex, time-evolving networks. * Applications in social sciences, physical sciences, engineering, life sciences, web, marketing, finance, precision medicine, health informatics, medicine and other domains. We particularly encourage submissions in emerging topics of high importance such as data quality, advanced deep learning, time-evolving networks, large multi-objective optimization, quantum discrete optimization, learning representations, big data mining and analytics, cyber-physical systems, heterogeneous data integration and mining, autonomous decision and adaptive control. Call for Papers: Submission deadline: March 31, 2019 https://easychair.org/conferences/?conf=lod2019 https://lod2019.icas.xyz/call-for-papers/ Call for Special Sessions: Submission deadline: February 10, 2019 https://lod2019.icas.xyz/call-for-special-sessions-tutorials/ See you in Siena! LOD 2019 Organizing Committee. https://lod2019.icas.xyz lod at icas.xyz -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Thu Jan 17 09:30:23 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Thu, 17 Jan 2019 16:30:23 +0200 Subject: Connectionists: The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Third Call for Doctoral Consortium Submissions In-Reply-To: <10B49D4E-3C6A-4AE3-BBC6-679AB0B65AE9@cs.ucy.ac.cy> References: <9D907F9B-A04A-43F0-8623-6D92E4132AC9@cs.ucy.ac.cy> <46CA4E92-4B9B-4D1B-8B60-A1D0C2701DE3@cs.ucy.ac.cy> <24094F96-58F5-466E-A748-E91B9EC6E8A2@cs.ucy.ac.cy> <95F40EA8-2662-46AD-B301-3385D4B8601B@cs.ucy.ac.cy> <05EDB924-A9A7-4E3B-8E36-05EAE5D4242A@cs.ucy.ac.cy> <6FC69A4B-F456-4336-A7CC-2AAE2723CB67@cs.ucy.ac.cy> <3D0926CD-0237-493E-BBD1-914DD649F38F@cs.ucy.ac.cy> <66C85F2E-2E7D-4CFC-9BFF-ED6926E34DD9@cs.ucy.ac.cy> <87A185A1-0F32-441B-A0D0-F088969A82DF@cs.ucy.ac.cy> <10B49D4E-3C6A-4AE3-BBC6-679AB0B65AE9@cs.ucy.ac.cy> Message-ID: *** THIRD CALL FOR DOCTORAL CONSORTIUM SUBMISSIONS *** 27th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019 https://www.um.org/umap2019/ Submissions due: March 1, 2019 ACM UMAP 2019, the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and which collect, represent, and model user information, will, as in previous issues of the conference series, include a Doctoral Consortium (DC) Session, which provides an opportunity for doctoral students to explore and develop their research interests under the guidance of distinguished researchers from the field. Doctoral students are invited to apply to present their research to experienced scholars who will provide constructive feedback and advice. The Doctoral Consortium is implemented as a student mentoring program that introduces students to senior researchers from the relevant fields. Students are expected to document in a brief submission their doctoral research (see below described submission information for further details), which will be evaluated by the consortium committee. Good quality applications will be selected for presentation at a Doctoral Consortium Session as part of the conference. Promising, but less well- developed applications will be selected for presentation at a poster session. Each student with an accepted submission will be assigned a mentor who will provide feedback on the student's work and will discuss the doctoral research with the student and the audience at the consortium. How to Submit to the Doctoral Consortium To apply for the ACM UMAP 2019 Doctoral Consortium, students are asked to submit a paper presenting their doctoral research that describes: ? The problem being addressed. ? Motivation outlining the relevance of the problem and referring to related work. ? The main contributions that the PhD project aims to achieve. ? The progress made to date (including a clear description of the proposed approach, methodology and preliminary results) as well as the plan for further research. ? Topics include (but are not limited to) the ACM UMAP 2019 key areas. Each DC submission is encouraged to consider the following: identification of related (state of the art) work, indication of the potential innovation, application or advancement of the state-of-the-art that the work intends to achieve. In addition, as appropriate for the PhD project, the submissions can consider: indication of data to be used for experimentation, indication of implementation approach, indication of evaluation criteria and experimental design. Each submission should contain a cover page including the paper title, name of the PhD candidate, the name of his/her supervisor(s) and University, a paragraph describing the stage they are in the PhD programme, together with a brief description of their background. This will enable the committee to adapt its assistance to each student. Papers should be submitted via the EasyChair Doctoral Consortium submission system: https://easychair.org/conferences/?conf=acmumap2019dc Submissions should be pdf documents consisting of 1 cover page and the paper (up to 4 pages long), formatted using the ACM SIG proceedings template. ACM UMAP Proceedings The accepted ACM UMAP 2019 Doctoral Consortium papers will be included in the Conference Proceedings, which will be published by ACM and that will be available via the ACM Digital Library. The main author (doctoral student) must register for the conference for the paper to be included in the proceedings. Financial Support ACM UMAP has a history of supporting students to attend. Further details will be announced on the website soon. Important Dates ? Paper submission: March 1st, 2019 ? Notification to authors: March 22nd, 2019 ? Camera ready submission: April 3rd, 2019 ? ACM UMAP 2019 DC Session: June 11th and 12th, 2019 Note: The submissions times are 11:59pm AoE time (Anywhere on Earth). Doctoral Consortium Chairs ? Laurens Rook, TU Delft, The Netherlands (l.rook AT tudelft.nl) ? Markus Zanker, Free University of Bozen-Bolzano, Italy (mzanker AT unibz.it) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ogergo at brandeis.edu Thu Jan 17 10:11:03 2019 From: ogergo at brandeis.edu (Gergo Orban) Date: Thu, 17 Jan 2019 16:11:03 +0100 Subject: Connectionists: Submissions now open: XI. Dubrovnik Conference on Cognitive Science - Computational Rationality Message-ID: Dear all, This is a reminder that submissions are now open for the XI. Dubrovnik Conference on Cognitive Science, which is devoted to the topic of Computational Rationality. The conference will take place between 23-25 May 2019 in Dubrovnik, Croatia. We invite poster submissions from all areas of cognitive science. You may submit your poster abstract here: http://www.cecog.eu/ducog/page_submission.php Our invited speakers are: Ulrike Hahn (Birkbeck, University of London, UK) Quentin Huys (Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK) Julian Jara-Ettinger (Yale University, USA) M?t? Lengyel (University of Cambridge, UK, and Central European University, Hungary) Azzurra Ruggeri (Max Planck Institute for Human Development, Berlin, Germany) Laura Schulz (MIT, USA) Deadline for poster abstract submission is 28 February 2019. Authors will be notified of acceptance of their abstracts by 15 March 2019. For more information please visit: http://www.cecog.eu/ducog/page_invitation.php Or email us: ducog at cogsci.bme.hu On behalf of the organisers, Oana Stanciu Gerg? Orb?n Programme chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From mail at jan-peters.net Thu Jan 17 14:10:57 2019 From: mail at jan-peters.net (Jan Peters) Date: Thu, 17 Jan 2019 19:10:57 -0000 Subject: Connectionists: Call for Applications Message-ID: <137DDA1A-70D1-41BB-9871-2F5BCB4E1DD8@jan-peters.net> Robotics & Machine Learning Positions =============================== The Intelligent Autonomous Systems Labs (IAS) at the Technical University of Darmstadt (TU Darmstadt) is seeking for several *highly qualified postdoctoral researchers.* (exceptionally talented Ph.D. students will also be considered) with strong interest in one or more of the following research topics: * Robot Learning (especially Robot Reinforcement Learning, Imitation, and Model Learning) * Robot Grasping and Manipulation * Robot Control, Learning for Control * Robot Table Tennis Please relate clearly to these topic in your Research Statement. Note that we currently can only consider PhD students with real robot experience (for post-docs, we are more open-minded). Outstanding students and researchers from the areas of robotics and robotics-related areas including machine learning, control engineering or computer vision are welcome to apply. The candidates are expected to conduct independent research and at the same time contribute to ongoing projects in the areas listed above. Successful candidates can furthermore be given the opportunity to work with undergraduate, M.Sc. and Ph.D. students. Due to our strong ties to the Max Planck Institute for Intelligent Systems, many companies (ABB, Bosch Centre for AI, Honda Research Institute, Intel, NVIDEA NVAIL, Porsche Motor Sports, VW AI Lab, etc) there will be ample opportunities of collaboration with these institutes. ABOUT THE APPLICANT Ph.D. position applicants need to have a Master's degree in a relevant field (e.g., Robotics, Computer Science, Engineering, Statistics & Optimization, Math and Physics) and have exhibited their ability to perform research in either robotics or machine learning. A successful Post-doc applicant should have a strong robotics and/or machine learning background with a track record of top-tier research publications, including relevant conferences (e.g., RSS, ICRA, IROS or ICML, IJCAI, AAAI, NIPS, AISTATS) and journals (e.g., AURO, TRo, IJRR or JMLR, MLJ, Neural Computation) . A Ph.D. in Computer Science, Electrical or Mechanical Engineering (or another field clearly related to robotics and/or machine learning) as well as strong organizational and coordination skills are a must. Expertise in working with real robot systems is a big plus for all applicants. THE POSITIONS The positions are started with a 24 months contract and may be extendable up to 48 months. Payment will be according to the German TVL E-13 or E-14 payment scheme, depending on the candidates experience and qualifications. HOW TO APPLY? All complete applications submitted through our online application system found at http://www.ias.tu-darmstadt.de/Jobs/Application will be considered. There is no fixed deadline: the positions will be filled as soon as possible. Ph.D. applicants should provide at least a research statement, a PDF with their CV, degrees, and grade-sheets, and two references who are willing to write a recommendation letter. PostDoc applicants require three references and, in addition, should provide their top three publications. Please ensure to include a link to your research web-site as well as your date of availability. ABOUT IAS The Intelligent Autonomous Systems Lab (IAS) aims at endowing robots with the ability to learn new tasks and adapt their behavior to their environment. To accomplish this goal, IAS focuses on the intersection between Machine Learning, Robotics and Biomimetic Systems. Resulting research topics range from algorithm development in machine learning over robot grasping/manipulation and robot table tennis to biomimetic motor control/learning and brain-robot interfaces. Members of CLAS and IAS have been highly successful, as exhibited by recent awards, which include a Daimler Benz Fellowship, several Best Cognitive Robotics Paper Awards, the Georges Giralt Best 2013 Robotics PhD Thesis Award, an IEEE RAS Early Career Award, etc. The lab collaborates with numerous universities in Germany, Europe, the USA and Japan. IAS is partner in several European projects with many top institutes in ML and Robotics.. Our lab member have been *EXCEPTIONALLY* successful. All our former postdocs have been offered faculty positions and five of our 14 graduated PhD students have taken on faculty jobs. The IAS lab is located in the Robert Piloty Building in the beautiful Herrngarten park. It is less than fifty meters from a beer garden frequently used for lab meetings and after successful paper submissions. ABOUT TU DARMSTADT The TU Darmstadt is one of the top technical universities in Germany, and is well known for its research and teaching. It was one of the first universities in the world to introduce programs in electrical engineering. our chemical elements were discovered at Darmstadt, most prominently, the element darmstadtium, and it is Germany's first fully autonomous university. More information can be found on: http://en.wikipedia.org/wiki/Darmstadt_University_of_Technology ABOUT DARMSTADT Darmstadt is well known high-tech center with important activities in space craft operations (e.g., through the European Space Operations Centre, the European Organization for Exploitation of Meteorological Satellites), chemistry, pharmacy, information technology, biotechnology, telecommunications and mechatronics, and consistently ranked among the top high-tech regions in Germany. Darmstadt's important centers for arts, music and theatre allow for versatile cultural activities, while the proximity of the Odenwald forest and the Rhine valley allows for many outdoor sports. The 33,547 students of Darmstadt's three universities constitute a major part of Darmstadt's 140,000 inhabitants. Darmstadt's immigrant population is among the most diverse in Germany, such that the knowledge of German language is rarely ever needed (and many IAS members do not speak *any* German). Darmstadt is located close to the center of Europe. With just 17 Minutes driving distance to the Frankfurt airport (closer than Frankfurt itself), it is one of best connected cities in Europe. Most major European cities can be reached within less than 2.5h from Darmstadt. From irina.illina at loria.fr Thu Jan 17 10:43:00 2019 From: irina.illina at loria.fr (Irina Illina) Date: Thu, 17 Jan 2019 16:43:00 +0100 (CET) Subject: Connectionists: Research engineer or post-doc position in Natural Language Processing: Introduction of semantic information in a speech recognition system Message-ID: <17554515.18778889.1547739780693.JavaMail.zimbra@loria.fr> Research engineer or post-doc position in Natural Language Processing: Introduction of semantic information in a speech recognition system Supervisors: Irina Illina, MdC, Dominique Fohr, CR CNRS Team: Multispeech, LORIA-INRIA Contact: illina at loria.fr, dominique.fohr at loria.fr Duration : 12-18 months Deadline to apply : April 1th, 2019 Required skills: background in statistics, natural language processing and computer program skills (Perl, Python). Candidates should email a detailed CV with diploma Under noisy conditions, audio acquisition is one of the toughest challenges to have a successful automatic speech recognition (ASR). Much of the success relies on the ability to attenuate ambient noise in the signal and to take it into account in the acoustic model used by the ASR. Our DNN (Deep Neural Network) denoising system and our approach to exploiting uncertainties have shown their combined effectiveness against noisy speech. The ASR stage will be supplemented by a semantic analysis. Predictive representations using continuous vectors have been shown to capture the semantic characteristics of words and their context, and to overcome representations based on counting words. Semantic analysis will be performed by combining predictive representations using continuous vectors and uncertainty on denoising. This combination will be done by the rescoring component. All our models will be based on the powerful technologies of DNN. The performances of the various modules will be evaluated on artificially noisy speech signals and on real noisy data. At the end, a demonstrator, integrating all the modules, will be set up. The recruited person will work in collaboration with an industrial partner. Main activities * study and implementation of a noisy speech enhancement module and a propagation of uncertainty module; * design a semantic analysis module; * design a module taking into account the semantic and uncertainty information. Skills Strong background in mathematics, machine learning (DNN), statistics Following profiles are welcome, either: * Strong background in signal processing or * Strong experience with natural language processing Excellent English writing and speaking skills are required in any case. References [Nathwani et al ., 2018] Nathwani, K., Vincent, E., and Illina, I. DNN uncertainty propagation using GMM-derived uncertainty features for noise robust ASR, IEEE Signal Processing Letters , 2018. [Nathwani et al ., 2017] Nathwani, K., Vincent, E., and Illina, I. Consistent DNN uncertainty training and decoding for robust ASR, in Proc. IEEE Automatic Speech Recognition and Understanding Workshop , 2017. [Nugraha et al., 2016] Nugraha, A., Liutkus, A., Vincent E. Multichannel audio source separation with deep neural networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing , 2016. [Sheikh, 2016] Sheikh, I. Exploitation du contexte s?mantique pour am?liorer la reconnaissance des noms propres dans les documents audio diachroniques?, These de doctorat en Informatique, Universit? de Lorraine, 2016. -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.strisciuglio at rug.nl Thu Jan 17 14:17:05 2019 From: n.strisciuglio at rug.nl (Nicola Strisciuglio) Date: Thu, 17 Jan 2019 20:17:05 +0100 Subject: Connectionists: Call for Workshops/Tutorials at CAIP 2019 in Salerno, Italy Message-ID: The CAIP2019 Organizing Committee invites proposals for workshops and tutorials in conjunction with the 18th International Conference on Computer Analysis of Images and Patterns. The workshops and tutorials will be held as side events of the main conference. *Proposals for Workshop* The CAIP2019 workshops will provide forums where participants will have opportunities to discuss technical topics and actively share ideas. The topics of the workshops should be at the frontiers of academic research or important applications in the domain of computer vision and pattern recognition. Each proposal will be assessed for its scientific content, structure and relevance. Cogently, good proposals would encourage discussion and interaction between the participants, achievable in a several ways, e.g., through presentations of submitted work, panel discussions and hands-on sessions. Download here the Call for Workshops *Proposals For Tutorials* The CAIP 2019 Organizing Committee invites proposals for tutorials to be held as side events of the main conference in Salerno, Italy. Tutorials should serve one or more of the following objectives: * Introduce students and newcomers to major topics of CAIP research * Provide instruction on established practices and methodologies * Survey a mature area of CAIP research and/or practice * Motivate and explain a CAIP topic of emerging importance * Introduce expert non-specialists to a CAIP research area Proposals should contain the following information: * The title and a brief description of the tutorial * A detailed outline of the tutorial, including preferred length of tutorial: either 3 hours (half day) or 6 hours (full day). If it is a full-day tutorial, please give a brief justification * Characterization of the potential target audience for the tutorial, including prerequisite knowledge and estimated number of attendees * A description of why the tutorial topic would be of interest to a substantial part of the CAIP audience * A brief resume of the presenter(s), which should include name, title, affiliation, e-mail address, background in the tutorial area, example of work in the area (e.g. publications and/or industrial work). Download here the Call for Tutorials *Submission* Proposals should be submitted by electronic mail to the CAIP Organizing Committee (caip2019 at unisa.it ) *Important Dates* Deadline for workshop proposal: *March 1, 2019 *Notification of Acceptance: *March 15, 2019* -------------- next part -------------- An HTML attachment was scrubbed... URL: From pstone at cs.utexas.edu Thu Jan 17 15:18:52 2019 From: pstone at cs.utexas.edu (Peter Stone) Date: Thu, 17 Jan 2019 14:18:52 -0600 Subject: Connectionists: Postdoc opportunity - UT Austin Message-ID: <46112.1547756332@cs.utexas.edu> DEPARTMENT OF COMPUTER SCIENCE, THE UNIVERSITY OF TEXAS AT AUSTIN, USA POSITION: Post-doctoral fellow on "Human-in-the-loop Machine Learning" CONTACT: Prof. Peter Stone The University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712 USA pstone at cs.utexas.edu www.cs.utexas.edu/~pstone Applications are invited for a postdoctoral fellow of one year, possibly renewable for additional years, in the Department of Computer Science in the Learning Agents Research Group headed by Prof. Peter Stone. Primary responsibilities include performing cutting-edge research in collaboration with faculty and Ph.D. students. The research will focus on developing human-in-the-loop machine learning techniques for adaptive and interactive intelligent agents, with a focus on unmanned ground vehicles in both indoor and outdoor environments. Specifically, the goal is to develop a learning system that can leverage multiple human feedback modalities (e.g., demonstration or critique) to create complex robot behaviors such as context-aware navigation. QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or related field. Experience with machine learning, intelligent robotics, and ROS is essential. Experience in deep reinforcement learning, and/or human-robot interaction is desired. TO APPLY: Applicants should send by email to pstone at cs.utexas.edu - a curriculum vitae - names of two references with contact information - a two-page summary of past research and relevant qualifications - a personal Web page, if available, where further details can be found This position is to start as early as March of 2018 or at any agreed later date. Applications will be reviewed as they are received. From giacomo.cabri at unimore.it Fri Jan 18 08:54:57 2019 From: giacomo.cabri at unimore.it (Giacomo Cabri) Date: Fri, 18 Jan 2019 14:54:57 +0100 Subject: Connectionists: CfP - Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC) at WETICE 2019 Message-ID: <14e92caa-7d8f-71d1-b312-76ae4aaba4a9@unimore.it> *17th Adaptive Computing (and Agents) for Enhanced Collaboration (ACEC)* Track?at IEEE WETICE 2019 Capri Island, Italy, June 12-14, 2019 http://didattica.agentgroup.unimore.it/ACEC2019 Call for Papers *Aims and Scope* Over its 16 years in existence, ACEC has focused on worksthat explorethe adaptability, autonomy and intelligence of software agents for the collaboration across the enterprise. In 2019,?organizers would like to continue to explore the research on agent-based computing, but they would also?welcome works that leverage advanced adaptive techniques, non necessarily based on software agents. In addition to the?traditional domain areas, i.e., Computer Supported Collaborative Work, Workflow and Supply Chain Management, Automation in Virtual Enterprises, and Automated Distributed Service Composition, ACEC isalso interested in new adaptive techniques, e.g.,?Cloud Computing, Crowd-Sourcing and?Social Networking. In addition to traditional papers, the forthcoming 17th episode of ACEC welcomes papers from two focus areas: * Adaptive and Agent-based Services * Adaptive Techniques for Organizational/Enterprise Use of Emerging Web Paradigms (Cloud, Crowd-sourcing, Mobile Apps) Such two themes represent important areas where software agents can leverage their distributed nature,along with their proactive and autonomous characteristics, to provide solutions to?complex problems, which are difficult to solveusing traditional/existing technologies. *Topics of Interest* Topics of interest include, but are not limited to: * Adaptive and/or agent-mediated workflow, supply chain, and virtual enterprises * Methodologies, languages and tools to support agent collaboration * Agent architectures and infrastructures for dynamic collaboration * Adaptive and/or Agent-based service architectures and infrastructures * Service Oriented Architectures (SOAs) based on agents * Services for dynamic agent collaboration * Agent-to-Human service interactions * Autonomous, Adaptive and/or Agent-mediated service integration * Organizational and enterprise systems that leverage the Web 2.0 * Adaptive and Agent-mediated cloud environments *Important Dates* * Paper submission: *February, 20th, 2019* * Notification:*March, 15th, 2019* * Camera ready: *April, 5th, 2019* * Conference:*June 12-14, 2019* * * *Paper Submission* Papers should contain original contributions (not published or submitted elsewhere) and references to related state-of-the art work. Please submit your papers in PDF or PS format. Papers up to 6 pages (including figures, tables and references) can be submitted. Papers should follow the IEEE format, which is single-spaced, two columns, 10pt Times/Roman font. Papers should include a title, the name and affiliation of each author, an abstract of up to 150 words and no more than eight keywords. All submitted papers will be peer-reviewed by a minimum of three program committee members. The accepted papers will be published in the post-conference proceedings (to be published by the IEEE Computer Society Press). Authors of accepted papers must present their papers at the conference. *At least one author for each accepted paper should register and attend WETICE 2019 to have the paper published in the proceedings.* The paper submission procedure is carried out using the EasyChair conference management system: http://home.ing.unisannio.it/wetice2019/?page_id=575 * * *Track Chairs* * Stefania Monica, Universit? degli Studi di Parma, Italy * Federico Bergenti, Universit? degli Studi di Parma, Italy * M. Brian Blake, Drexel University, USA * Giacomo Cabri, Universit? degli Studi di Modena e Reggio Emilia, Italy * Usman Wajid, The University of Manchester, UK --- Questa email ? stata esaminata alla ricerca di virus da AVG. http://www.avg.com From jorgecbalmeida at gmail.com Fri Jan 18 08:57:54 2019 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Fri, 18 Jan 2019 13:57:54 +0000 Subject: Connectionists: Update: 2 Tenured Associate Professor Positions at the Faculty of Psychology and Educational Sciences of the University of Coimbra Portugal Message-ID: (Please Note: deadline and some clarification in terms of diploma and language requirements) The Faculty of Psychology and Educational Sciences of the University of Coimbra, Portugal, has two open Positions for Associate Professor. The official post is below: http://www.uc.pt/drh/rm/pconcursais/pessoal_docente/A_decorrer/fpce/P053-18-7647/edital_en This is a tenured position with a very competitive salary for Portugal. The University has a 3T MRI, and the faculty has facilities for EEG, and other labs in the field. The Faculty of Psychology and Educational Science has several funded projects on-going including one ERC starting grant in Cognitive Neuroscience and object recognition. The University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. The deadline for application is on *March 19* but it is advisable that all documents are in physically at this date. Because physical copies of the documents of the application have to be sent by snail registered mail to Portugal (perhaps even UPS, Fedex, etc), the application should be sent with enough time (I recommend a couple of weeks in advance). You can find the address in point III.3 of the call (the address should include the tender reference: P053-18-7647. The applicants should have their Diplomas registered in Portugal. Depending on where you obtained your PhD, and whether the diploma is not in English (or Portuguese) you may need to have a notarized translation and you may need an Apostille. You can register your Diplomas online at the ministry of education website: https://www.dges.gov.pt/pt/content/recautomatico This process takes some time and it is a necessary process for all applications in Portugal, so you should start it right away. In terms of the language requirements, if you are not a native speaker of Portuguese OR English, you need to prove that you have a C1 level in English OR Portuguese (or both obviously, but one is enough). One option to do so is to have a statement under oath that you have the required level of English (or Portuguese). Hope to see you here in Coimbra! -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Fri Jan 18 10:53:12 2019 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Fri, 18 Jan 2019 15:53:12 +0000 Subject: Connectionists: Postdoc in Cognitive Robotics and Human Robot Interaction, University of Manchester UK Message-ID: <0604AB4A-CE32-4CB9-852A-DA5976E18623@manchester.ac.uk> Postdoctoral Research Associate in Cognitive Robotics and Human Robot Interaction University of Manchester, UK A post-doctoral research fellow is required for a period of up to 3 year to work on the H2020 collaborative project ?MoveCare: Multiple-actors Virtual Empathic Caregiver for the Elder? (www.movecare-project.eu) and the new project ?THRIVE++: Trust in Human-Robot Interaction Via Embodiment with Theory of Mind? (www.thrive-project.org). This candidate will carry out research investigate the role of multimodal interaction and theory of mind in human robot interaction and the acceptability and trust of robot companions. A PhD in Computer science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential, as well as robotics research skills. Knowledge of human-robot interaction research with the elderly is a desirable skill. The research fellow will be working collaboratively as part of the cognitive robotics research lab at the School of Computer Science at the University of Manchester under the supervision of Professor Angelo Cangelosi. Close collaboration with the other project partners will also be required. The University of Manchester values a diverse workforce and welcomes applications from all sections of the community. The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women?s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/ Enquiries about vacancy shortlisting and interviews: Name: Angelo Cangelosi Email: angelo.cangelosi at manchester.ac.uk General enquiries: Email: hrservices at manchester.ac.uk Deadline 18 February 2019. To apply, follow: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=16665 ______________________ Angelos Cangelosi Professor of Machine Learning and Robotics University of Manchester, UK angelo.cangelosi at manchester.ac.uk https://www.research.manchester.ac.uk/portal/angelo.cangelosi.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From avellido at cs.upc.edu Fri Jan 18 04:17:52 2019 From: avellido at cs.upc.edu (Alfredo Vellido) Date: Fri, 18 Jan 2019 10:17:52 +0100 Subject: Connectionists: WSOM+2019: DEADLINE EXTENSION, 31st of January. 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, Barcelona, Spain Message-ID: Apologies for cross posting. Please forward to colleagues and students who might be interested. *DEADLINE EXTENSION for paper submission to January 31*, 2019 ************ WSOM+ 2019 ************ 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization Barcelona, Spain, 26-28 June 2019 https://wsom2019.cs.upc.edu SUBMISSION: https://easychair.org/conferences/?conf=wsom2019 Confirmed invited speakers: Paulo Lisboa (Liverpool John Moores University, U.K.) Tobias Schreck (Graz University of Technology, Austria) A?da Valls (Universitat Rovira i Virgili, Spain) Alessandro Sperduti (Universit? degli Studi di Padova, Italy) === CFP === WSOM+ invites contributions related to the theoretical and methodological aspects of Unsupervised Learning, Self-Organizing Maps, Learning Vector Quantization, Clustering, Data Visualization and closely related topics. We also call for and encourage scientific and application-oriented papers that demonstrate the use of the aforementioned methods and models in fields of knowledge. For the full CFP and further details on dates, submission, registration, venue, committees, and the city at large, please visit https://wsom2019.cs.upc.edu The WSOM+ 2019 proceedings will be published as a book in Springer?s Advances in Intelligent Systems and Computing (AISC) series. Barcelona awaits your participation in the 13th WSOM+ conference! This is a welcoming and inclusive city, home to thriving Machine Learning and Computational Intelligence communities. Hosted by the Intelligent Data Engineering and Artificial Intelligence (IDEAI) Research Center at Universitat Polit?cnica de Catalunya (UPC BarcelonaTech), WSOM+ 2019 aims to build on a successful string of editions that started more than two decades ago with WSOM?97 in Helsinki. The conference is meant to be an international reference for research in unsupervised learning, self-organizing systems, Learning Vector Quantization and data visualization. Submit your contributions to WSOM+2019 and meet us in the Barcelona summer! ************ WSOM+ 2019 ************ Organizing Committee Alfredo Vellido, Chair (IDEAI, UPC BarcelonaTech) Karina Gibert (IDEAI, UPC BarcelonaTech) Cecilio Angulo (IDEAI, UPC BarcelonaTech) Jos? David Mart?n (Universitat de Val?ncia) Steering Committee: Teuvo Kohonen (Honorary Chairman, Finland) Marie Cottrell (France) Pablo Estevez (Chile) Timo Honkela (Finland) Jean Charles Lamirel (France) Thomas Martinetz (Germany) Erzsebet Merenyi (USA) Madalina Olteanu (France) Michel Verleysen (Belgium) Thomas Villmann (Germany) Takeshi Yamakawa (Japan) Hujun Yin (UK) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Fri Jan 18 08:54:45 2019 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Fri, 18 Jan 2019 13:54:45 +0000 Subject: Connectionists: Meeting announcement: UK Neural Computation conference, July 1st-3rd Message-ID: Save the date! We are pleased to announce the UK Neural Computation conference, July 1st-3rd 2019, at the University of Nottingham A national meeting for the UK community working on the computational side of neuroscience. Be it modelling, maths, data science, theory, machine-learning, and all combinations thereof. Schedule: July 1st: ECR tutorials and seminars July 2nd-3rd: main meeting Confirmed speakers for the main meeting: Athena Akrami (SWC) Andy Barron (Macquarie) Tim Behrens (Oxford) Claudia Clopath (Imperial) Matthias Hennig (Edinburgh) Cian O'Donnell (Bristol) Chris Summerfield (Oxford) Tim Vogels (Oxford) Barbara Webb (Edinburgh) For further details, see the website: https://drmdhumphries.wixsite.com/ukneuralcomp2019 And look out for the abstract submission and registration announcement, coming soon. Hope to see you there! Mark Humphries (Chair, Nottingham) Hannes Saal (Sheffield) Robert Schmidt (Sheffield) Stuart Wilson (Sheffield) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From lexingxie at gmail.com Sat Jan 19 21:33:11 2019 From: lexingxie at gmail.com (Lexing Xie) Date: Sun, 20 Jan 2019 13:33:11 +1100 Subject: Connectionists: Multiple Tenure track/Tenured Positions @ The Australian National University Message-ID: The ANU College of Engineering and Computer Science (CECS) brings bright minds together to reimagine the role of engineering and computing for future generations. CECS is a diverse and vibrant community dedicated to discovery and to making knowledge matter. We research in exciting areas such as renewable energy, robotics, telecommunications, biomaterials, human-machine interaction, and artificial intelligence. The Research School of Computer Science is one of two founding schools of CECS. This is an exciting time to join our School and be part of a community that prides itself on solving ?wicked problems? in collaboration with the best minds in the world from across a broad range of disciplines. We seek applicants who have the potential and deep commitment to help define the future of their discipline. You will have the opportunity to present a vision for your research and education, and their importance to the future of computer science. Applications are particularly invited from researchers in computer science whose interests align with or complement existing strengths of the School, whose breadth of vision reaches across traditional discipline silos, and whose record includes strong links with external organisations and industry (where appropriate). We welcome and develop a diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break or who have achieved excellence in careers outside of academia. There are currently several positions available at Academic Levels B, C, and D ( https://en.wikipedia.org/wiki/Academic_ranks_%28Australia_and_New_Zealand%29) which are ongoing (tenured) or tenure track depending on the skills and experience of the successful candidates. Successful candidates will be offered individualised attention and be part of a culture with a strong sense of community to define their own research agendas, apply for competitive funding, build a research team, and develop their own laboratory facilities where appropriate. These positions come with a yearly budget to cover visitors and conference travel as well as significant start-ups funds to attract the very best applicants. Salary (AUD): Level B: $98,009-$111,365 plus 17% superannuation, Level C: $118,044-$131,402 plus 17% superannuation, Level D: $141,416-$150,324 plus 17% superannuation booklet http://bit.ly/anu-cs-booklet apply by 10 Feb http://jobs.anu.edu.au/cw/en/job/527916/lecturersenior-lecturerassociate-professor contact: Search Committee Chair, Professor Bob Williamson bob.williamson at anu.edu.au ------- lexing xie, professor computer science, the australian national University director of computational media lab http://cm.cecs.anu.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From april.robocup at gmail.com Sun Jan 20 07:59:31 2019 From: april.robocup at gmail.com (April Foster) Date: Sun, 20 Jan 2019 07:59:31 -0500 Subject: Connectionists: RoboCup Visiting Fellows Program - 2nd Call for Applications - Due Feb. 15 In-Reply-To: References: Message-ID: RoboCup Visiting Fellows Program - 2nd Call for Applications - Due Feb. 15 Ever since 1997, The RoboCup Federation has been holding annual international research competitions and symposia in an effort to push the state of the art in robotics, artificial intelligence, and related fields. The community remains healthy and vibrant, with students, postdocs, professors, and industry professionals meeting each year to compete and share their knowledge in a wide range of research competitions. Based on the beliefs that 1) RoboCup is a unique and special community and venue within the research community, and 2) that the only way to fully appreciate what it has to offer is to experience it firsthand, the RCF is pleased to announce a new RoboCup Visiting Fellows program. Successful applicants will receive: - full travel support for two people from your home institution and free registration to the 2019 international RoboCup Sydney, Australia July 3-8, 2019 as an honored guest and observer. - up to an additional $10k USD in reimbursements of start-up expenses needed to start a new team for entry in 2020 and/or 2021 RoboCup events. - detailed, behind-the-scenes education about how the RoboCup community works, including meetings with current organizers and participants. The ideal applicants will be: - a pair of University faculty and a Ph.D. student or postdoc who have never participated in RoboCup, and are interested in learning about and becoming a part of the community. Application Requirements: - please send your CVs and a 2-page statement of interest that includes research interests, how RoboCup could support those interests, and possible RoboCup league(s) of interest. - a statement detailing what exposure the applicants have had to RoboCup in the past, if any, as well as a statement of commitment to attend RoboCup in Sydney for 6 days, from July 3rd-8th. We particularly encourage applications from people from underrepresented groups within the RoboCup community based on gender, ethnicity, or geography. Submission Details: - please send your application materials by February 15th to april.robocup at gmail.com Requirements: - In addition to attending RoboCup 2019, RoboCup Visiting Fellows will be asked to submit a report within a month after the event summarizing their overall impressions as well as a proposed budget of up to $10k for startup costs of a new team. We look forward to receiving your applications! Sincerely, The RoboCup Federation Visiting Fellows Committee Minoru Asada Pedro Lima Peter Stone Rong Xiong -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Sun Jan 20 15:38:13 2019 From: irina.illina at loria.fr (Irina Illina) Date: Sun, 20 Jan 2019 21:38:13 +0100 (CET) Subject: Connectionists: PhD Thesis position in Natural Language Processing: Online hate speech against migrants Message-ID: <709665411.19402307.1548016693634.JavaMail.zimbra@loria.fr> PhD Thesis position in Natural Language Processing: Online hate speech against migrants Supervisors: Irina Illina, MdC, Dominique Fohr, CR CNRS Team: Multispeech, LORIA-INRIA Contact: illina at loria.fr, dominique.fohr at loria.fr Duration : 3 years Deadline to apply : April 1th, 2019 Required skills: background in statistics, natural language processing and computer program skills (Perl, Python), neural networks tools. Candidates should email a detailed CV with diploma Motivations and context According to the 2017 International Migration Report, the number of international migrants worldwide has grown rapidly in recent years, reaching 258 million in 2017, among whom 78 million in Europe. A key reason for the difficulty of EU leaders to take a decisive and coherent approach to the refugee crisis has been the high level of public anxiety about immigration and asylum across Europe. There are at least three social factors underlying this attitude (Berri et al, 2015): the increase in the number and visibility of migrants; the economic crisis that has fed feelings of insecurity; the role of mass media. The last factor has a major influence on the political attitudes of the general public and the elite. Refugees and migrants tend to be framed negatively as a problem. This translates into a significant increase of hate speech towards migrants and minorities. The Internet seems to be a fertile ground for hate speech (Knobel, 2012). The goal of this PhD Thesis is to develop a methodology to automatically detect hate speech in social network data ( Twitter, YouTube, Facebook ). Our methodology in the hate speech classification will be related on the recent approaches for text classification with Neural Networks and word embeddings . In this context, fully connected feed forward networks (Iyyer et al., 2015; Nam et al., 2014), Convolutional Neural Networks (CNN) (Kim, 2014; Johnson and Zhang, 2015) and also Recurrent/Recursive Neural Networks (RNN) (Dong et al., 2014) have been applied. On the one hand, the approaches based on CNN and RNN capture rich compositional information, and have outperformed the state-of-the-art results in text classification; on the other hand they are computationally intensive and require careful hyperparameter selection and/or regularization (Dai and Le, 2015). Objectives The goal of this PhD Thesis is to develop a new methodology to automatically detect hate speech, based on machine learning and Neural Networks . Human detection of this material is infeasible since the contents to be analyzed are huge. In recent years, research has been conducted to develop automatic methods for hate speech detection in the social media domain. These typically employ semantic content analysis techniques built on Natural Language Processing (NLP) and Machine Learning (ML) methods (Schmidt et al. 2017). Although current methods have reported promising results, their evaluations are largely biased towards detecting content that is non-hate, as opposed to detecting and classifying real hateful content (Zhang et al., 2018). Current machine learning methods use only certain task-specific features to model hate speech. We propose to develop an innovative approach to combine these pieces of information into a multi-feature approach so that the weaknesses of the individual features are compensated by the strengths of other features (explicit hate speech, implicit hate speech, contextual conditions affecting the prevalence of hate speech, etc.). The student will work in the framework of French-German project (ANR project). References Berri M, Garcia-Blanco I, Moore K (2015), Press coverage of the Refugee and Migrant Crisis in the EU: A Content Analysis of five European Countries, Report prepared for the United Nations High Commission for Refugees, Cardiff School of Journalism, Media and Cultural Studies. Dai, A. M. and Le, Q. V. (2015). ?Semi-supervised sequence Learning?. In Cortes, C., Lawrence, N. D., Lee, D. D., Sugiyama, M., and Garnett, R., editors, Advances in Neural Information Processing Systems 28, pages 3061-3069. Curran Associates, Inc Dong, L., Wei, F., Tan, C., Tang, D., Zhou, M., and Xu, K. (2014). ?Adaptive recursive neural network for target-dependent twitter sentiment classification?. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, ACL , Baltimore, MD, USA, Volume 2: pages 49-54. Iyyer, M., Manjunatha, V., Boyd-Graber, J., and Daum?, H. (2015). ?Deep unordered composition rivals syntactic methods for text classification?. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics , volume 1, pages 1681-1691. Johnson, R. and Zhang, T. (2015). ?Effective use of word order for text categorization with convolutional neural networks?. In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages 103-112. Knobel M. (2012). L?Internet de la haine. Racistes, antis?mites, n?onazis, int?gristes, islamistes, terroristes et homophobes ? l?assaut du web. Paris: Berg International Schmidt A., Wiegand M.(2017). A Survey on Hate Speech Detection using Natural Language Processing, Workshop on Natural Language Processing for Social Media Zhang, Z., Luo, L (2018). Hate speech detection: a solved problem? The Challenging Case of Long Tail on Twitter. arxiv.org/pdf/1803.03662 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Phil.Garner at idiap.ch Mon Jan 21 07:49:47 2019 From: Phil.Garner at idiap.ch (Phil Garner) Date: Mon, 21 Jan 2019 13:49:47 +0100 Subject: Connectionists: Post-doctoral positions in speech and natural language processing Message-ID: <872bf57c-2837-7ae8-c6ed-520a955c3379@idiap.ch> Dear Colleagues, We currently have openings for at least one post-doc in the general area of speech and natural language processing. The work will involve investigating how to interface current end-to-end speech recognition technology with its counterparts in natural language processing; it would suit someone from either discipline. The posts are research oriented, but funded by industrial collaborations. More information along with application instructions are at the URL: http://www.idiap.ch/education-and-jobs/job-10251 Idiap is located in Martigny in French speaking Switzerland, although the lab hosts many nationalities, and functions in English. All positions offer quite generous salaries. Several similar positions at PhD, post-doc and senior level are available at the institute in general. http://www.idiap.ch/en/join-us/job-opportunities Sincerely, -- Phil Garner http://www.idiap.ch/~pgarner From us2ts2019 at outlook.com Mon Jan 21 12:45:43 2019 From: us2ts2019 at outlook.com (us2ts 2019) Date: Mon, 21 Jan 2019 17:45:43 +0000 Subject: Connectionists: US2TS 2019 - Early Registration Deadline: January 22, 2019 - U.S. Semantic Technologies Symposium Series (US2TS) In-Reply-To: References: Message-ID: U.S. Semantic Technologies Symposium Series March 11-13, 2019 Duke University in Durham, NC http://us2ts.org/ Early Registration Deadline: January 22, 2019 ================================================ The early registration deadline for the 2nd U.S Semantic Technologies Symposium is coming up on January 22, 2019! Register early to get the best registration rates: http://us2ts.org/2019/posts/registration.html We are also excited to announce two exceptional keynote speakers: Jim Hendler (Rensselaer Polytechnic Institute) and Helena Deus (Elsevier)! The program of the symposium is posted online: http://us2ts.org/2019/posts/program.html The detailed program for each session will be published next week. You still have a chance to make a contribution by submitting a lightning talk for one of the two plenary Lightning Talk sessions. The submission for Lightning Talks will be open next week on the US2TS Calls webpage. The goal of the U.S. Semantic Technologies Symposium series is to bring together the U.S. Semantic Web community and begin forming such a research network. We achieve this by supporting communication across disciplinary, organizational, and geographical boundaries. The Symposium events provide a forum by which participants can share information and ideas, coordinate ongoing or planned research activities, foster synthesis and new collaborations, develop community standards, and advance their science and education through communication and the sharing of ideas. To this end, the 2019 Symposium will be an informal gathering with plenty of time for discussion and breakout sessions. We encourage anyone with an interest in the Semantic Web, regardless of field, to attend. For all questions please contact the organizers at contact-us2ts2019 at googlegroups.com. [cid:5c133935-8f63-4ecd-82dc-c7a64ecefb32] U.S. Semantic Technologies Symposium Series March 11-13, 2019 at Duke University in Durham, NC http://us2ts.org/2019/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Outlook-zvizayi3.png Type: image/png Size: 3694 bytes Desc: Outlook-zvizayi3.png URL: From chriskanan at gmail.com Mon Jan 21 10:45:43 2019 From: chriskanan at gmail.com (Christopher Kanan) Date: Mon, 21 Jan 2019 10:45:43 -0500 Subject: Connectionists: Call for Papers and Abstracts for the 2nd Workshop on Shortcomings in Vision and Language (SiVL) at NAACL Message-ID: *Workshop on Shortcomings in Vision and Language (SiVL)*NAACL-HLT 2019, Minneapolis June, 2019 *https://sites.google.com/view/sivl2019/ * *Purpose* The primary purpose of this workshop is to bring together researchers at the intersection of vision and language to discuss shortcomings of modern approaches, tasks, datasets, and evaluation metrics for problems including image and video captioning, visual question answering, visual dialog, activity recognition, image retrieval and referring expressions. By highlighting common shortcomings in these domains, the workshop aims to facilitate discussion of novel research directions and to steer the community towards high-level challenges affecting the vision and language community broadly. *Call for Papers and Abstracts* We call for papers and abstracts exploring shortcomings in current vision and language models covering topics including but not limited to: - Analysis of current vision and language models - Analysis of current tasks and datasets - Novel evaluation metrics - Novel language and vision tasks - Other pertinent work about shortcomings of vision and language Papers must describe substantial, original, completed and unpublished work. Paper submissions must be anonymous and will receive at least two peer-reviews. They may consist of up to eight (8) pages of content, plus unlimited pages for references and must be prepared as specified in the NAACL guidelines (https://naacl2019.org/calls/papers/). Camera-ready versions of accepted papers will be given one additional page of content (up to 9 pages) so that reviewers? comments can be taken into account. All paper submissions will be presented in the Poster Session and a few selected works will also be presented as Spotlight talks. Paper submissions will be published in the ACL Anthology. Abstracts can describe work in progress, work under review, accepted to be published elsewhere or already published work. They may consist of up to two (2) page of content, plus additional pages for references. Abstract submissions are subject to single-blind review to evaluate relevance to the workshop topics. Accepted abstracts will be posted online on the workshop website and will be presented only at the Poster session. Abstracts are not published in the ACL Anthology. Submission Instructions are available on the workshop website. *Important Dates* February 27, 2019: Workshop Paper Due Date March 27, 2019: Notification of Acceptance April 5, 2019: Camera-ready papers due (firm deadline) June 6-7, 2019: Workshop Dates All deadlines are 11:59 PM in UTC -12h timezone. *Invited Speakers:*Yoav Artzi, Cornell Tech Angeliki Lazaridou, DeepMind Margaret Mitchell, Google Research *Organizers*: Raffaella Bernardi, University of Trento Raquel Fernandez, University of Amsterdam Spandana Gella, University of Edinburgh Kushal Kafle, Rochester Institute of Technology Christopher Kanan, Rochester Institute of Technology Stefan Lee, Georgia Institute of Technology Moin Nabi, SAP SE The workshop is sponsored by SAP SE. *Contact Email*: sivl2019 at googlegroups.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From kashefy at ni.tu-berlin.de Mon Jan 21 10:01:12 2019 From: kashefy at ni.tu-berlin.de (Youssef Kashef) Date: Mon, 21 Jan 2019 16:01:12 +0100 Subject: Connectionists: Research Assistant (PhD position) Computational models of task dependent object-based visual attention In-Reply-To: <865b25575f9c4955a2ac4a5a68d755a0@ex-mbx-09.tubit.win.tu-berlin.de> References: <865b25575f9c4955a2ac4a5a68d755a0@ex-mbx-09.tubit.win.tu-berlin.de> Message-ID: Research Assistant (PhD position) Neural Information Processing Group Technische Universit?t Berlin Berlin, Germany Computational models of task dependent object-based visual attention Salary level: TV-L 13 (100%) Duration: 3 years Starting date: October 1st, 2019 Application deadline: February 15th, 2019 Working field The successful candidate will explore the hypothesis that object-level attentional units are essential mid-level factors which guide human eye-movements in visual scene analysis. Based on eye-fixation data from visual search tasks she/he will first build computational models to emulate the measured fixation sequences, to quantify the influence of different low- and high-level visual features, and to characterize the influence of task-driven changes in object-based attention processes. In a second step, plausible models will be integrated as ?attentional modules? into a computer vision system for visual scene analysis and will be evaluated in terms of task success and the number of computations involved. Potential achievement of the project is an efficient real-time analysis of dynamic visual scenes. The position is part of the new DFG-funded cross-disciplinary research Cluster ?Science of Intelligence? (http://www.scienceofintelligence.de/). The successful candidate will be enrolled in the Cluster's doctoral program and is expected to actively engage in the Cluster's educational and research activities. Qualifications Applicants must hold a Master degree in Computational Neuroscience, Computer Science, Physics, Mathematics, or related fields. Applicants should have very good programming skills, a very good command of the English language, a solid mathematical background, competence in machine learning, and a strong interest in visual perception. How to apply: Please upload your application via the link www.scienceofintelligence.de/call-for-applications/open-positions/doctoral-project-computational-models-of-task-dependent-object-based-visual-attention/) and follow instructions. Applications should include: motivation letter, curriculum vitae, transcripts of records (for both BSc and MSc), copies of degree certificates (BSc, MSc), abstracts of Bachelor-, Master-thesis, list of publications and one selected manuscript (if applicable), two names of qualified persons who are willing to provide references, and any documents you feel may help us assess your competence. -- Youssef Kashef, Doctoral Candidate Neural Information Processing Group Fakultaet IV, Technische Universitaet Berlin MAR 5-6, Marchstr. 23, 10587 Berlin -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Mon Jan 21 17:12:06 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 21 Jan 2019 23:12:06 +0100 Subject: Connectionists: ECML PKDD - industry forum Message-ID: An HTML attachment was scrubbed... URL: From tony.pipe at brl.ac.uk Tue Jan 22 04:56:42 2019 From: tony.pipe at brl.ac.uk (Tony Pipe) Date: Tue, 22 Jan 2019 09:56:42 +0000 Subject: Connectionists: Professor of Robotics In-Reply-To: <561f1621-a5bc-c380-18f2-f92dc7d97019@brl.ac.uk> References: <35ccac3d-bd2e-d705-ff42-b6e9267e685d@brl.ac.uk> <9d584535-6135-7703-106f-0eb85bd11695@brl.ac.uk> <8425dbb3-796a-e96e-155f-659462cf14b3@brl.ac.uk> <9012577d-d913-0b40-63b5-259851d593d2@brl.ac.uk> <0d4bedb8-ed61-f8e2-a5b8-22e668e2f9d7@brl.ac.uk> <9ef4410e-6f17-c652-0bc8-353d431192c3@brl.ac.uk> <561f1621-a5bc-c380-18f2-f92dc7d97019@brl.ac.uk> Message-ID: <861773d9-3cc6-0979-d0bc-65f73cdc5009@brl.ac.uk> Professor of Robotics: Provably Safe Human-Robot Interaction Full Description of post at: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTc4NTcxNiZ2dF90ZW1wbGF0ZT0xNTM4Jm93bmVyPTUwNTUyNzgmb3duZXJ0eXBlPWZhaXImYnJhbmRfaWQ9MCZvY2NfY29kZT04ODQzJnZhY194dHJhNTA1NTI3OC4zXzUwNTUyNzg9MjAyNTA1JnBvc3RpbmdfY29kZT00OTc= Duration of post: Permanent Closing Date: 12 Feb 2019 Salary: ?62,420 - ?90,130 The Bristol Robotics Laboratory at the Faculty of Environment & Technology have an exciting permanent and full time position for a Professor of Provably Safe Human-Robot Interaction to join BRL within the Engineering, Design & Mathematics Department. As the state of robotics and physically instantiated autonomous systems matures there is increasing emphasis on robot systems being removed from their historically isolated manufacturing automation domains, so that they can work with and amongst us to enhance our quality of life. Although there is no fully accepted term that defines this type of robot, here we refer to this as a 'service' robot. These developments are gaining pace and so issues of safety, usefulness and trustworthiness are becoming paramount for robot devices that will operate in close proximity to human beings, or costly and easily damaged items. Fundamentally, it is very difficult to imagine such devices either being socially acceptable or getting to market without convincing certification arguments that will be dependent on guarantees of their safety and usefulness, both of which are essential components of trustworthiness. Therefore, a very thorough investigation into the criteria required to guarantee safety, including methods for its assessment, is necessary and timely, in order for the outcomes of this investigation to inform standards that are, in turn, used by regulators to deliver a process for product certification. Although the application foci for this post are not restricted, and certainly encompass all of the 'dirty, dull and dangerous' domains, two exemplar areas of particular interest currently to the Bristol Robotics Laboratory, where such issues are rapidly becoming 'centre-stage', are Connected Autonomous Vehicles, where the vehicle can be viewed as a kind of robot that users get into, and robot care for older adults or the infirm, often termed 'Assisted Living'. However, regardless of the application domain, the holder of this post will need to consider two main factors, both of which are inherent to the overall challenge of delivering a safe, useful and trustworthy robot service to the user. These two complementary aspects together encompass physical and behavioural aspects, i.e., respectively: i) the verification and validation processes that result in a guarantee that the system is designed and implemented correctly and; ii) the psychologically-driven contextually appropriate behaviour of the robot when working in and around people. A successful applicant to this post should, therefore, already possess in-depth expertise in one or both of these itemised topics. Although the two exemplar applications given above may be typical of the domains to be focused on initially, the holder of this post will be expected to work with others in the BRL to investigate the appropriateness and benefits of also using the developed methods in other domains, e.g., in immersive teleoperation for shared control in robot-assisted surgery and robotics for nuclear decommissioning. We welcome applications from gifted researchers from strongly linked disciplines who are fully committed to developing one or more of the areas of research outlined above. Those applicants, who are willing to exploit the full innovation pipeline via our extensive in-house business incubator facilities, as well as undertaking fundamental research, will be viewed especially favourably. The interviews are planned for Friday 15th March 2019. -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 From ijcci at insticc.info Tue Jan 22 09:56:19 2019 From: ijcci at insticc.info (ijcci at insticc.info) Date: 22 Jan 2019 14:56:19 +0000 Subject: Connectionists: CFP IJCCI 2019 - 11th Int.l Joint Conf. on Computational Intelligence (Vienna/Austria) Message-ID: <20190122145619.1.1D2976EC6967E697@insticc.info> SUBMISSION DEADLINE 11th International Joint Conference on Computational Intelligence Submission Deadline: April 29, 2019 http://www.ijcci.org/ September 17 - 19, 2019 Vienna, Austria. IJCCI is organized in 4 major tracks: - Evolutionary Computation - Fuzzy Computation - Neural Computation - Cognitive and Hybrid Systems Proceedings will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS, Semantic Scholar and Google Scholar. A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don't hesitate contacting me. Kind regards, IJCCI Secretariat Address: Avenida de S?o Francisco Xavier Lote 7L Cave 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.ijcci.org/ e-mail: ijcci.secretariat at insticc.org From annalisa.riccardi at strath.ac.uk Tue Jan 22 11:52:18 2019 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Tue, 22 Jan 2019 16:52:18 +0000 Subject: Connectionists: Workshop on Computational Intelligence in Aerospace Science and Engineering @ GECCO 2019 Message-ID: <5F981B7DF1B7214DB40BAA37423DD2B636DED6BF@EX2010-MBX1.ds.strath.ac.uk> (we apologise for possible multiple copies of this message ) *********************************************************** CALL FOR PAPERS *********************************************************** Workshop on Evolutionary Computation + Computational Intelligence in Aerospace Science and Engineering The Genetic and Evolutionary Computation Conference (GECCO 2019) July 13-17, 2019, Prague, Czech Republic Paper submission opening: February 27, 2019 Paper submission deadline: April 3, 2019 https://gecco-2019.sigevo.org/ https://gecco-2019.sigevo.org/index.html/Workshops#id_Computational%20Intelligence%20in%20Aerospace%20Science%20and%20Engineering *********************************************************** * Topics Interested researchers are invited to submit novel contributions via the submission system with an emphasis on the following topics (but not limited to): - Multi-objective optimisation for space and aerospace applications - Surrogate based approaches for design optimisation and analysis - Design optimisation under uncertainties of aerospace systems and missions - Bayesian optimisation and uncertainty handling in aircraft design - Distributed global optimisation through EC and CI techniques - Advances in machine learning paradigms for aerospace optimisation problems - Intelligent decision aid systems for aerospace design optimisation and analysis - Intelligent algorithms for prognostics, fault identification, diagnosis and repair - Evolutionary computation for concurrent engineering - Multidisciplinary design for aerospace missions and system design - Global trajectory optimisation through EC and CI techniques? - Optimal control of spacecraft and rovers - Planning and scheduling in aerospace - Optimisation of engine emissions, fuel consumption, and noise - Multi-point aircraft optimisation - Mission planning and control through EC and CI techniques - Intelligent search and optimisation frameworks in aerospace applications - EC & CI performance evaluation and comparison methods for particular aerospace problems - Emerging AI fields, such as artificial life or swarm intelligence, on future space research - Multi-agent systems approach and bio-inspired solutions for system design and control - Knowledge discovery, data mining and presentation of large data sets. *Submission Guidelines Submitted papers must not exceed 8 pages (excluding references) and are required to be in compliance with the GECCO 2019 Papers Submission Instructions. It is recommended to use the same templates as the papers submitted to the main tracks. Best regards, Workshop Organisers Prof David Camacho-Fern?ndez Computer Science Department Universidad Autonoma de Madrid, Spain Prof Massimiliano Vasile Aerospace Centre of Excellence University of Strathclyde, UK Dr Annalisa Riccardi, Aerospace Centre of Excellence University of Strathclyde, UK From caspar.schwiedrzik at googlemail.com Wed Jan 23 02:35:13 2019 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Wed, 23 Jan 2019 08:35:13 +0100 Subject: Connectionists: =?utf-8?q?The_European_Neuroscience_Institute_in_?= =?utf-8?q?G=C3=B6ttingen=2C_Germany_announces_positions_for_Group_?= =?utf-8?q?Leaders_in_Neuroscience?= Message-ID: The European Neuroscience Institute in G?ttingen (ENI-G) Germany announces positions for *Group Leaders in Neuroscience* About us: The ENI-G, a partnership between the University Medical Center G?ttingen and the Max-Planck-Society, provides an exceptional environment for excellent young researchers in the neurosciences. We seek: Applicants with an outstanding record of research in either neuroscience or with excitable cells in general. Possible topics range from molecular and cellular physiology, neuronal circuit analysis, imaging (at all scales), as well as computational and cognitive neuroscience, with emphasis on health and disease. Currently there is a focus of the group leaders of the ENI-G on physiology, sensory processing and systems neuroscience in multiple species, ranging from invertebrates to humans. Research that either complements or goes beyond these already established focal points at the ENI-G is welcome. We offer: Group leaders a maximal amount of independence while also providing the support necessary to build up a new research program. ENI-G will provide office and laboratory space as well as a generous start-up package. State of the art equipment, including dedicated microscopy infrastructure, animal facilities, a precision workshop, IT and administrative support are available in house. In addition, unparalleled opportunities for scientific collaboration and interaction exist within the G?ttingen Research Campus, including the University of G?ttingen and its Medical School, three Max Planck Institutes (Biophysical Chemistry, Experimental Medicine, and Dynamics and Self Organization), the German Primate Center and the Bernstein Center for Computational Neuroscience. We will work closely with the recently established cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells (https://www.uni-goettingen.de/en/579892.html)" as well as the newly starting Heart and Brain Center G?ttingen. In addition to the excellent research environment that ENI-G provides, its independent group leaders can benefit from the resources and funding opportunities offered by the Collaborative Research Centers (CRC / SFB) within the G?ttingen Neuroscience community. The ENI-G also houses the distinguished graduate program ?IMPRS Neurosciences?, facilitating interactions with excellent students as well as opportunities for teaching. You will have an experienced mentor by your side, receive broad administrative support, professional leadership training, and help with relocation and establishing a life in Germany, including visa application, housing, schooling, and day-care. Successful group leaders will have the opportunity to obtain a permanent position after a two step internal and external evaluation. We look forward to: Applications from outstanding researchers who are enthusiastic about pursuing an independent research program in an environment that supports cutting edge research. The successful candidate is expected to develop a vigorous research program and should have received a Ph.D. within the past five years. Relevant research training and outstanding research reflected by high-impact publications are a prerequisite for consideration. The applicant is expected to acquire competitive third-party funding, and eligibility for ERC Starting Grant / DFG Emmy Noether level funding (or comparable) is a requirement. Details about funding opportunities can be found here . Interested candidates should submit their curriculum vitae and record of publications highlighting their 3-5 most significant publications, as well as a research statement (3-5 pages), preferably in one pdf. Application deadline: 17.3.2019. The University Medical Center G?ttingen is a tertiary care center. Its 7,400 employees work in over 65 departments and facilities to provide top-quality patient care, excellent research and modern teaching facilities. UMG is an equal opportunity employer and strictly prohibits unlawful discrimination. Christiane Becker Administration Manager Grisebachstr. 5 D-37077 G?ttingen tel: +49 (0)551 / 39-61300 fax: +49 (0)551 / 39-61399 email: eni at gwdg.de web: http://www.eni-g.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From rychly at fortiss.org Wed Jan 23 04:48:22 2019 From: rychly at fortiss.org (Leonard Rychly) Date: Wed, 23 Jan 2019 09:48:22 +0000 Subject: Connectionists: Open PostDoc Position at fortiss (Germany) - SOFTWARE FOR AUTONOMOUS SYSTEMS Message-ID: <66174ef6e5234b26a7575c83fedc32de@fortiss.org> POSTDOC ? SOFTWARE FOR AUTONOMOUS SYSTEMS (M/F) fortiss is the research institute of the Free State of Bavaria for software-intensive systems and services with headquarters in Munich. The institute currently employs around 170 employees, who collaborate on research, development and transfer projects with universities and technology companies in Bavaria, Germany and Europe. Research is focused on state of the art methods, techniques and tools of software development, systems & service engineering and their application to reliable, secure cyber-physical systems, such as the Internet of Things (IoT). fortiss has the legal structure of a non-profit limited liability company (GmbH). Its shareholders are the Free State of Bavaria (as majority shareholder) and the Fraunhofer Society for the Promotion of Applied Research. www.fortiss.org The Autonomous Systems & Sensor Systems department pursues research in software for autonomous systems, e.g., cars, drones and is open to other application domains, e.g., IT or medicine. We develop bleeding edge AI solutions with skills like sensor fusion, computer vision, intent recognition, behavior prediction and generation - not paper work only but also hands-on work with immediate application in industrial cooperation projects. We are not specialized in one subdomain of cognition but try to target holistic solutions: How to implement cognitive machines? How to verify and certify such systems especially when based on AI? How to integrate uncertainty? How to consider interaction with other traffic participants? How to develop such algorithms while ensuring the safety of the system? In this department, we search for a new team member: Postdoc - Software for Autonomous Systems Your tasks: * Support the department in developing demonstrators: autonomous driving library on a modified Volkswagen Passat, drone lab, software simulator for interaction-aware behavior; infrastructure sensors on public streets * Mentor PhD candidates in above research areas; coaching in topics like paper writing, research vision & agenda and knowledge management * Initiate new research projects, lead research projects * Support department heads in project acquisitions (develop projects plans for industry projects, write proposals for publicly-funded German or EU projects) * Present project ideas to candidate industry partners in their premises * Take part in cross-department activities: initiate workshops with other research groups, take part in the scientific coordination of our tech days, initiate inter-department projects Your profile: * A PhD in computer science, robotics or other PhD with relevant experiences on Autonomous Systems * Research experience in sensor fusion, trajectory planning, behavior prediction or computer vision * If experience in only one of these domains, you should at least have interest for the other domains * Interest in safety of autonomous systems, in cognitive science, in symbolic AI * Curiosity, pragmatism, listening skills, interest towards applying your research * Hands-on experience in programming (ideally in Python and/or C++) * Very good spoken and written English, knowledge of German is a strong plus Our offer: * A young, enthusiastic and team-oriented atmosphere * A uniquely diverse environment where researchers in, e.g., autonomous driving, robotics, avionics, formal methods regularly side by side: collaboration between departments is not just appreciated, it is encouraged * The scientifically push the research on Autonomous Systems forward but still being strongly connected to applications, the chance to address real problems but without diving into the boredom of pure engineering * Compensation according to German academia standards (Tarifvertrag f?r den ?ffentlichen Dienst: "TV-L") Did we catch your interest? Please submit your application with a motivational statement, a detailed CV and a contact to two reference persons to career(at)fortiss.org. Notice that this code needs to be mentioned in the subject line of your application: Job-ID: AS-ALL-MA-01-2018 The use of the job-ID is obligatory for any inquiries regarding the job position described. Contact: Dr. Henrik Putzer, Dr. Vincent Aravantinos Best, Leonard Rychly -- fortiss ? Landesforschungsinstitut des Freistaats Bayern An-Institut Technische Universit?t M?nchen Guerickestra?e 25 80805 M?nchen Germany Tel.: +49 (89) 3603522 455 Fax: +49 (89) 3603522 50 E-Mail: rychly at fortiss.org http://www.fortiss.org Amtsgericht M?nchen: HRB: 176633 USt-IdNr.: DE263907002, Steuer-Nr.: 143/237/25900 Rechtsform: gemeinn?tzige GmbH Sitz der Gesellschaft: M?nchen Gesch?ftsf?hrer: Dr. Harald Rue?, Thomas Vallon Vorsitzender des Aufsichtsrats: Dr. Manfred Wolter -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.felsberg at liu.se Wed Jan 23 08:32:00 2019 From: michael.felsberg at liu.se (Michael Felsberg) Date: Wed, 23 Jan 2019 13:32:00 +0000 Subject: Connectionists: Deadline extension: Two fully funded PhD positions within WASP AI at the Computer Vision Laboratory, Linkoping University, Sweden Message-ID: The Computer Vision Laboratory at Linkoping University advertises two fully funded positions as PhD student in Electrical Engineering with specialization in Computer Vision. The focus will be on representations learning and you will contribute to research projects within WASP (Wallenberg Artificial Intelligence, Autonomous Systems and Software Program). For further details and applying (the deadline has been extended to Feb 3), see https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=10209&rmlang=UK Looking forward to your applications! Best regards Michael Felsberg -- Professor Michael Felsberg Tel: +46 13 282460 Computer Vision Laboratory Mobile: +46 702 202460 Linkoping University email: michael.felsberg at liu.se SE-581 83 Linkoping, Sweden http://users.isy.liu.se/cvl/mfe/ From sorelle at cs.haverford.edu Wed Jan 23 09:40:39 2019 From: sorelle at cs.haverford.edu (Sorelle Friedler) Date: Wed, 23 Jan 2019 09:40:39 -0500 Subject: Connectionists: Visiting Assistant Professor in Computational Neuroscience at Haverford College Message-ID: Visiting Assistant Professor of Computer Science with a Specialization in Computational Neuroscience Including subfields of AI, Computer Vision, Bioinformatics, and Network Science Applications Due March 1st Haverford College welcomes applications for a full-time, one-year Visiting Assistant Professor of Computer Science with a specialization in Computational Neuroscience for the 2019-2020 academic year. This appointment may be extended to the 2020-2021 academic year, depending on the staffing needs of the Department, upon budgetary approval, and upon a successful annual performance evaluation by the Department Chair in the spring of 2020. Responsibilities include teaching the equivalent of five courses over two semesters, including lecture and seminar classes (at all levels of the curriculum, including their corresponding laboratory or discussion sections) as well as specialized research courses and the supervision of undergraduate senior theses work. Computer Science and Neuroscience are among the fastest growing programs at Haverford College. Candidates working in Computational Neuroscience, broadly construed, are encouraged to apply. For example, this may include candidates working in *Artificial Intelligence, Computer Vision, Bioinformatics, Network Science*, or other subfields, as long as their work includes a focus on the connection of their field to Neuroscience. The successful candidate will have a Ph.D. (ABD considered) in Computer Science, Neuroscience, or a closely related discipline along with excellent teaching skills and experience, with the ability to teach courses from the introductory to the advanced undergraduate levels. The appointment officially begins July 1, 2019; applications received by *March 1st, 2019* will receive fullest consideration. Please submit the following materials and information via http://apply.interfolio.com/59676 * letter of interest * curriculum vitae * teaching statement * research statement * three confidential letters of reference, including one that specifically addresses the candidate?s teaching effectiveness, to be submitted to Interfolio. Please include the name, affiliation, email address and phone number for each reference. Questions about the Neuroscience program should be directed to Laura Been at lbeen at haverford.edu. For technical questions, please contact lnterfolio directly at 1-877-997-8807 or help at interfolio.com. Haverford College is an Equal Opportunity/Affirmative Action employer that does not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, national origin, age, marital status, disability or veteran status. Haverford has a longstanding commitment to diversity rooted in values of inclusion and social justice, a commitment reflected in the curriculum, classrooms, and communal composition of the College. Haverford welcomes applications from candidates who share these values and who will foster their contribution to the College?s educational mission. -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Wed Jan 23 09:31:46 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Wed, 23 Jan 2019 16:31:46 +0200 Subject: Connectionists: The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Last Mile for Paper Submission In-Reply-To: References: <9D907F9B-A04A-43F0-8623-6D92E4132AC9@cs.ucy.ac.cy> <46CA4E92-4B9B-4D1B-8B60-A1D0C2701DE3@cs.ucy.ac.cy> <24094F96-58F5-466E-A748-E91B9EC6E8A2@cs.ucy.ac.cy> <95F40EA8-2662-46AD-B301-3385D4B8601B@cs.ucy.ac.cy> <05EDB924-A9A7-4E3B-8E36-05EAE5D4242A@cs.ucy.ac.cy> <6FC69A4B-F456-4336-A7CC-2AAE2723CB67@cs.ucy.ac.cy> <3D0926CD-0237-493E-BBD1-914DD649F38F@cs.ucy.ac.cy> <66C85F2E-2E7D-4CFC-9BFF-ED6926E34DD9@cs.ucy.ac.cy> <87A185A1-0F32-441B-A0D0-F088969A82DF@cs.ucy.ac.cy> <10B49D4E-3C6A-4AE3-BBC6-679AB0B65AE9@cs.ucy.ac.cy> Message-ID: <31E2A0CF-A9B3-4B1F-B35B-3AA5FE9BA74C@cs.ucy.ac.cy> *** LAST MILE FOR PAPER SUBMISSION *** 27th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) ?Making Personalization Transparent: Giving control back to the User" Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019 https://www.um.org/umap2019/ Abstracts due: January 25, 2019 (mandatory) Papers due: February 1, 2019 BACKGROUND AND SCOPE ACM UMAP, "User Modeling, Adaptation and Personalization", is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP is sponsored by ACM SIGCHI and SIGWEB. The proceedings are published by ACM and will be part of the ACM Digital Library. ACM UMAP covers a wide variety of research areas where personalization and adaptation may be applied. This include (but is in no way limited to) a number of domains in which researchers are engendering significant innovations based on advances in user modeling and adaptation, recommender systems, adaptive educational systems, intelligent user interfaces, e-commerce, advertising, digital humanities, social networks, personalized health, entertainment, and many more. This year the conference hosts three new tracks, one on privacy and fairness, one on personalized music access, and one on personalized health. CONFIRMED INVITED SPEAKERS ? Marios Avraamides, University of Cyprus ? Judith Masthoff, Utrecht University ? Mounia Lalmas-Roelleke, Spotify London CONFERENCE TRACKS Track 1 - Personalized Recommender Systems Chairs: Marko Tkalcic, Free University of Bozen-Bolzano, marko.tkalcic at unibz.it Alan Said, University of Sk?vde, alansaid at acm.org Personalized, computer-generated recommendations have become a pervasive feature of today?s online world. The underlying recommender systems are designed to help users and providers in a number of ways. From a user?s viewpoint, for example, these systems assist consumers in finding relevant things within large item collections. On the other hand, from a provider?s perspective, recommenders have also shown to be valuable tools to steer consumer behavior. From a technical perspective, the design of such systems requires the careful consideration of various aspects, including the choice of the user modeling approach, the underlying recommendation algorithm, and the user interface. This track aims to provide a forum for researchers and practitioners to discuss open challenges, latest solutions and novel research approaches in the field of recommender systems. Besides the above-mentioned technical aspects, works are also particularly welcome that address questions related to the user perception and the business value of recommender systems. Topics include (but are not limited to): ? Recommendation algorithms ? Recommender and personalization system evaluation ? User modeling and preference elicitation ? Users? perception of recommender systems ? Business value of recommendation systems and multi-stakeholder environments ? Explanations and trust ? Context-aware recommendation algorithms ? Recommending to groups of users ? Case studies of real-world implementations ? Novel, Psychology-informed User- and Item-modeling Track 2 - Adaptive Hypermedia And The Semantic Web Chairs: Liliana Ardissono, University of Torino, liliana.ardissono at unito.it Katrien Verbert, KU Leuven, katrien.verbert at cs.kuleuven.be Adaptive hypermedia and adaptive web explore alternatives to the traditional ?one-size-fits-all? approach in the development of web and hypermedia systems. Adaptive hypermedia and adaptive web systems build a model of the interests, preferences and knowledge of each individual user, and use this model in order to adapt the behavior of hypermedia and web systems to the needs of that user. Semantic web frequently serves as an infrastructure to enable adaptive and personalized Web systems. Semantic web technology targets the use of explicit semantics and metadata to help web systems perform the desired functionality: this implies the use of linked data from the web, the use of ontologies in models, or the use of metadata in user interfaces, as well as the use of ontologies for information integration. This track aims to provide a forum to researchers to discuss open research problems, solid solutions, latest challenges, novel applications and innovative research approaches in adaptive hypermedia and semantic web. Topics include (but are not limited to): ? Web user profiles ? Adaptive navigation support ? Personalized search ? Web content adaptation ? Analytics of web user data ? Adaptive web sites and portals ? Adaptive books and textbooks ? Social navigation and social search ? Navigation support in continuous media and virtual environments ? Usability engineering for adaptive hypermedia and web systems ? Novel methodologies for evaluating adaptive hypermedia and web systems ? Semantic Web technologies for web personalization ? Ontology-based data access and integration/exchange on the adaptive web ? Ontology engineering and ontology patterns for the adaptive web ? Ontology-based user models ? Semantic social network mining, analysis, representation, and management ? Crowdsourcing semantics; methods, dynamics, and challenges ? Semantic Web and Linked Data for adaptation Track 3 - Intelligent User Interfaces Chairs: Li Chen, Hong Kong Baptist University, lichen at comp.hkbu.edu.hk Jingtao Wang, Google, jingtaow at acm.org Intelligent User Interfaces aim to improve the interaction between computer systems and human users by means of Artificial Intelligence. The systems support and complement different types of abilities that are normally unavailable in the context of human-only cognition. Previous work has found that humans do not always make the best possible decisions when working together with computer systems. By designing and deploying improved forms of support for interactive collaboration between human decision makers and systems, we can enable decision making processes that better leverage the strengths of both collaborators. More generally this research track can be characterized by exploring how to make the interaction between computers and people smarter and more productive, which may leverage solutions from human-computer interaction, data mining, natural language processing, information visualization, and knowledge representation and reasoning. Topics include (but are not limited to): ? Adaptive personal virtual assistants (e.g., interaction with robots) ? Adapting natural interaction (e.g., natural language, speech, gesture) ? Intelligent user interfaces based on sensor data (UIs for cars, fridges, etc.) ? Multi-modal interfaces (speech, gestures, eye gaze, face, physiological info, etc.) ? Intelligent wearable and mobile interfaces ? Smart environments and tangible computing ? Transparency and control of decision support systems (e.g., semi-autonomous systems) ? Explainable intelligent user interfaces ? Affective and aesthetic interfaces ? Tailored persuasion and argumentation interfaces ? Tailored decision support (e.g., over- and under-reliance in uncertain domains) ? Adaptive information visualization ? Scalability of intelligent user interfaces to access huge datasets ? User-centric studies of interactions with intelligent user interfaces ? Novel datasets and use cases for intelligent user interfaces ? Evaluations of intelligent user interfaces Track 4 - Personalized Social Web Chairs: Ilaria Torre, University of Genova, ilaria.torre at unige.it Osnat Mokryn, omokryn at univ.haifa.ac.il The social web is continuously growing and social platforms are a fundamental part of our life. Mediated communication is becoming the primary form of communication for young people, and adults follow in increasing numbers. Online communication is increasingly enriched by the use of memes, pictures, audio and video, though language (textual and oral) remains a fundamental tool with which people interact, convey their opinions, construct and determine their social identity. Lifelogging data (e.g., health, fitness, food) is growing as well on the social web. This type of personal information source, gathered for private use through personal devices, is now often shared in online communities. These trends open new challenges for research: how to harness the power of collective intelligence and quantified self data in online social platforms to identify social identities, how to exploit continuous feedback threads, and how to improve the individual user experience on the social web. We invite original submissions addressing all aspects of personalization, user models building and personal experience in online social systems. Topics include (but are not limited to): ? Personalization of the web experience in social systems ? Adaptations based on personality, society, and culture ? Personalization algorithms and protocols inspired by human societies ? Social recommendation ? Identifying social identities in social media ? Social and crowd-generated data for adaptation ? Personalized information retrieval ? Exploiting quantified self data on the social web of things ? Data-driven approaches for personalization ? Modeling individuals, groups, and communities ? Collective intelligence and experience mining ? Pattern and behaviour discovery in social network analysis ? Opinion mining for user modeling ? Sentiment analysis ? Topic modeling for online conversations and short texts ? Privacy, perceived security, and trust in social systems ? Ethical issues involved in studying the social web ? User awareness and control ? Evaluation methodologies for the social web Track 5 - Technology-Enhanced Adaptive Learning Chairs: Jes?s G. Boticario, UNED, jgb at dia.uned.es Inge Molenaar, Radboud University, i.molenaar at pwo.ru.nl At large there is an on-going ?fusion? between humans and technological systems. The ongoing integration of devices into our daily lives furthers the integration of technology in human learning. With technology increasingly gaining more data and intelligence, a new era of technology-enhanced adaptive learning is emerging. Consequently, the interactions between learners, teachers and technology are becoming increasingly complex. Learning is a positioned as a complex human process that involves cognitive, metacognitive, motivational, affective and psychomotor aspects which interact with the learning context. Smart technological solutions are increasingly able to identify and model the learner needs on these five aspects and accordingly provide personalized support that can improve the effectiveness, efficiency and satisfaction of learning experiences. Current research in artificial intelligence combined with data science and learning analytics bring new opportunities to recognize, and effectively support individual learners? needs and orchestrate collaborate and classroom learning with intelligent learning solutions, and augment teachers in blended learning situations. The aim of this track is to foreground the systematic complexity of human learning and use systematic analytic approaches to measure, diagnose and support human learning with technologies. This covers not only formal educational settings, but also lifelong learning requirements (including workplace training) as well as the acquisition of skills informal learning settings (e.g., in daily activities, serious games, sports, healthcare, wellbeing, etc.). To address the wide spectrum of modeling issues and challenges that can be raised, contributions from various research areas are welcome. Therefore, this track invites researchers, developers, and practitioners from various disciplines to present their innovative adaptive learning solutions, share acquired experience, and discuss the main modeling challenges for technology enhanced adaptive learning. Topics include (but are not limited to): ? Domain, learner, teacher and context modeling ? Modeling cognitive, metacognitive, motivational, affective and psychomotor aspects of learning ? Diagnosis of learner needs and calibration of support and feedback Adaptive and personalized support for learning ? Dealing with ethical issues involved in detecting and modeling a wider range of information sources (e.g., information from novel sensing devices, ambient intelligent features) that may affect learning ? Management of large, open, and public datasets for educational data mining ? Agent-based learning environments and virtual pedagogical agents ? Open corpus personalized learning ? Collaborative and group learning ? Adaptive technologies to orchestrated classroom Learning ? Personalized teachers awareness and support tools ? Multimodal learning analytics to personalize learning ? UMAP aspects in specific learning solutions: educational recommender systems, intelligent tutoring systems, serious games, personal learning environments, MOOCs ? Wearable technologies and augmented reality in adaptive personalized learning ? Processing collected data for UMAP: educational data mining, learning analytics, big data, deep learning. ? Semantic web and ontologies for e-learning ? Interoperability, portability, and scalability issues ? Case studies in real-world educational settings ? New methodologies to develop user-centered highly personalized learning solutions Track 6 - Privacy And Fairness Chairs: Bart Knijnenburg, Clemson University, bartk at clemson.edu Esma Aimeur, University of Montreal, aimeur at iro.umontreal.ca Adaptive systems researchers and developers have a social responsibility to care about their users. This involves building, maintaining, evaluating, and studying adaptive systems that are fair, transparent, and protect users' privacy. We invite papers that study, in the context of UMAP, the topics of privacy (as well as innovative means to resolve privacy problems through algorithms, interfaces, or other technical or non-technical means), fairness (covering the spectrum from algorithmic fairness to social implications of adaptive systems), and transparency (as a concept of system usability as well as a means to resolve problems with privacy and fairness). Beyond this we encourage authors to submit to this track any work that ascribes to or advances the general idea of "adaptive systems that care?. Privacy topics: ? Analysis of privacy implications of user modeling ? Privacy compliance ? Algorithmic solutions to privacy ? Architectural solutions to privacy ? Interactive solutions to privacy ? Usable privacy for adaptive systems ? User perceptions of privacy in UMAP applications ? Studies of users? privacy-related behaviors in UMAP applications ? Descriptions or evaluations of privacy-settings user interfaces ? Privacy prediction / personalization ? User-tailored approaches to privacy ? Privacy education for user modeling ? Modeling of data protection and privacy requirements ? Economics of privacy and personal data ? Measuring privacy Fairness topics: ? Ethical considerations for user modeling ? UMAP applications for underrepresented groups ? Cultural differences (e.g. culture-aware user modeling) ? Bias and discrimination in user modeling ? Imbalance in meeting the needs of different groups of users ? Balancing needs of users versus system owners ? Ethics of explore/exploit strategies or A/B testing ? ?Filter bubble? or ?balkanization? effects ? Enhancing/embracing diversity in user modeling ? Algorithmic methods for increasing fairness ? User perceptions of fairness ? Measuring fairness Transparency topics: ? User perceptions of transparency ? Transparent algorithms ? Interface innovations that increase transparency ? Explanations for transparency ? Visualizations for transparency ? Adaptive systems for self-actualization ? (User-centric) evaluations of methods that increase transparency ? Measuring transparency Track 7 - Personalized Music Access Chairs: Markus Schedl, University of Linz, markus.schedl at jku.at Nava Tintarev, TU Delft, n.tintarev at tudelft.nl Music access systems (e.g., search, retrieval, and recommendation systems) have experienced a boom during the past decade due to the availability of huge music catalogs to users, anywhere and anytime. These systems record information on user behavior in terms of actions on music items, such as play, skip, or playlist creation and modification. As a result, an abundance of user and usage data has been collected and is available to companies and academics, allowing for user profiling and to create and improve personalized music access. This track addresses unsolved challenges in this area relating to user understanding and modeling, personalization in recommendation and retrieval systems, modeling usage context, and adapting interactive intelligent music interfaces. This track aims to provide a forum for researchers and practitioners for the latest research on? user modeling and personalization for finding, making, and interacting with music. Topics include (but are not limited to): ? Personalized music preference elicitation and preference learning ? Psychological modeling of music listeners (e.g., personality, emotion, etc.) ? Subjective perceptions of music (e.g., similarity, mood, tempo) social and cultural aspects of listening behavior (e.g., for group recommenders) ? Applications for personalized music consumption and creation ? Personalized playlist generation and continuation (e.g., sequences and transitions) ? Personalized music interaction and interface paradigms (e.g., visualization, VR) ? Explainability, transparency, and fairness in personalized music ? Systems user-centric performance measures (e.g., diversity, novelty, serendipity, etc.) ? Datasets (including benchmarks) for personalizing music retrieval and recommendation Track 8 - Personalized Health Chairs: Christoph Trattner, University of Bergen, trattner.christoph at gmail.com David Elsweiler, University of Regensburg, david at elsweiler.co.uk Growing health issues and rising treatment costs mean that technological systems are increasingly important for global health. Personalised systems, tailored to the needs and behaviours of individual patients, are one of the promising approaches to health promotion by encouraging lifestyle change, managing treatment programmes and providing doctors and other healthcare providers with detailed individualized feedback. The challenges to developing such systems, which model user needs and preferences, as well as appropriate medical knowledge to provide assistance and recommendations are plentiful. The diverse technologies which could potentially feature in solutions are equally vast, ranging from AI systems to sensors, from mobile computing, augmented reality and visualization, to mining the web or other data streams to learn about health issues and user behaviour. In this track we invite scholars working in these or related areas to contribute to the discourse on how technology can promote health. This track aims to provide a forum to researchers to discuss open research problems, solid solutions, latest challenges, novel applications and innovative research approaches and in doing so to strengthen the community of researchers working on Personalized Health and attract representatives from from diverse scholarly backgrounds ranging from computer and information science to public health, epidemiology, psychology, medicine, nutrition and fitness. Topics include (but are not limited to): ? Algorithms and Recommendation Strategies to increase health ? Mobile health ? Quantified self ? Applied data analytics and modeling for health ? Health risk modeling and forecasting ? Systems for Preventative Measures ? Medical Evaluation Techniques ? Domain Knowledge Representation ? Behavioral Interventions: Persuasion/Nudging/Behavioral Change ? HCI, Interfaces and Visualisations for health ? Regulations and Standards ? Human/ Expert-in-the-Loop ? Gamification and Serious Games ? Privacy, Trust, Ethics ? Datasets SUBMISSION AND REVIEW PROCESS Papers should be submitted through EasyChair: https://easychair.org/conferences/?conf=acmumap2019 The ACM User Modeling, Adaptation, and Personalization (ACM UMAP) 2019 Conference will include high quality peer-reviewed papers related to the above key areas. Maintaining the high quality and impact of the ACM UMAP series, each paper will have three reviews by program committee members and a meta-review presenting the reviewers? consensual view; the review process will be coordinated by the program chairs in collaboration with the corresponding area chairs. Long (8 pages + references) and Short (4 pages + references) papers in ACM style, peer reviewed, original, and principled research papers addressing both the theory and practice of UMAP and papers showcasing innovative use of UMAP and exploring the benefits and challenges of applying UMAP technology in real-life applications and contexts are welcome. Long papers should present original reports of substantive new research techniques, findings, and applications of UMAP. They should place the work within the field and clearly indicate innovative aspects. Research procedures and technical methods should be presented in sufficient detail to ensure scrutiny and reproducibility. Results should be clearly communicated and implications of the contributions/findings for UMAP and beyond should be explicitly discussed. Short papers should present original and highly promising research or applications. Merit will be assessed in terms of originality and importance rather than maturity, extensive technical validation, and user studies. For both long papers and short paper submissions, it is not required to anonymize the manuscripts, i.e., ACM UMAP will apply a single-blind reviewing process. Separation of long and short papers will be strictly enforced so papers will not compete across categories, but only within each category. Papers that receive high scores and are considered promising by reviewers, but didn?t make the acceptance cut, will be directed to the poster session of the conference and will be invited to be resubmitted as posters. Papers must be formatted using the ACM SIG Standard (SIGCONF) proceedings template: https://www.acm.org/publications/proceedings-template . Please note that ACM changed its templates at the start of 2017, so please ensure that you use the new template and do not reuse an old template. All accepted papers will be published by ACM and will be available via the ACM Digital Library. At least one author of each accepted paper must register for the conference and present the paper there. AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.) IMPORTANT DATES ? Abstract: January 25, 2019 (mandatory) ? Full paper: February 1, 2019 ? Notification: March 11, 2019 ? Camera-ready: April 3, 2019 ? Adjunct proceedings, camera ready: April 15, 2018 Note: The submissions times are 11:59pm AoE time (Anywhere on Earth). GENERAL CHAIRS ? George A. Papadopoulos, University of Cyprus, Cyprus ? George Samaras, University of Cyprus, Cyprus ? Stephan Weibelzahl, PFH Private University of Applied Sciences, G?ttingen, Germany RELATED EVENTS Separate calls will be later sent for Workshops and Tutorials, Doctoral Consortium, Demos, Late Breaking Results and Theory, Opinion and Reflection works, as they have different deadlines and submission requirements. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sunlei17 at mail.ustc.edu.cn Wed Jan 23 20:48:40 2019 From: sunlei17 at mail.ustc.edu.cn (sunlei17) Date: Thu, 24 Jan 2019 09:48:40 +0800 Subject: Connectionists: =?utf-8?q?The_2nd_DIHARD_Speech_Diarization_Chall?= =?utf-8?q?enge_=5BSpecial_Session_in_INTERSPEECH-2019=5D?= Message-ID: <359F7461-D539-4BBC-A1B3-9B576EFC317A@mail.ustc.edu.cn> An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Dihard.pdf Type: application/pdf Size: 2785689 bytes Desc: not available URL: From SchockaertS1 at cardiff.ac.uk Wed Jan 23 12:05:56 2019 From: SchockaertS1 at cardiff.ac.uk (Steven Schockaert) Date: Wed, 23 Jan 2019 17:05:56 +0000 Subject: Connectionists: Postdoctoral research position at Cardiff University Message-ID: <52095129-3858-43A3-9EDF-25FAE1CA1DDB@cardiff.ac.uk> Deadline for applications: 16 February 2019 Start date: on or before 1 May 2019 Duration: 12 months Keywords: natural language processing, commonsense reasoning, vector space embeddings, interpretable machine learning Applications are invited for a postdoctoral research post at Cardiff University?s School of Computer Science & Informatics in the context of the ERC funded project FLEXILOG. The overall aims of this project are (i) to learn interpretable vector space embeddings (or conceptual spaces) from a variety of structured and unstructured information sources, and (ii) to exploit these embeddings for improving statistical and symbolic inference from imperfect data. More information about FLEXILOG can be found on the project website: http://www.cs.cf.ac.uk/flexilog/ Specifically, the aim of these posts will be to contribute to one or more of the following: (i) to learn word representations which explicitly capture attributional (e.g. lions are dangerous) and relational (e.g. lions eat zebras) knowledge; (ii) to develop methods for statistical reasoning from sparse relational data based on vector space representations; (iii) to develop methods for knowledge base completion based on vector space representations. The following are some representative recent publications from the FLEXILOG project: * Luis Espinosa Anke, Steven Schockaert. SeVeN: Augmenting word embeddings with unsupervised relation vectors. COLING 2018 * Victor Gutierrez-Basulto, Steven Schockaert. From knowledge graph embedding to ontology embedding? An analysis on the compatibility between vector space representations and rules. KR 2018 * Zied Bouraoui, Steven Schockaert. Learning conceptual space representations of interrelated concepts. IJCAI 2018 * Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert. Relational marginal problems: theory and estimation. AAAI 2018 * Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert. Word embedding as maximum a posteriori estimation. AAAI 2019 Cardiff University is a member of the Russell Group of research universities, and was ranked 5th in the UK based on the quality of research in the 2014 Research Evaluation Framework. The university has a successful School of Computer Science & Informatics with an international reputation for its teaching and research activities. Cardiff is a strong and vibrant capital city with good transportation links and an excellent range of housing available. More information: For more details about the position, please contact Steven Schockaert (SchockaertS1 at cardiff.ac.uk). For instructions on how to apply, please go to www.cardiff.ac.uk/jobs and search for job 8175BR. Please note the requirement to evidence all essential criteria in the supporting statement. -------------- next part -------------- An HTML attachment was scrubbed... URL: From papaleon at sch.gr Thu Jan 24 05:17:06 2019 From: papaleon at sch.gr (Papaleonidas Antonis) Date: Thu, 24 Jan 2019 12:17:06 +0200 Subject: Connectionists: AIAI2019 - EANN2019 @ Crete, Greece - Call for Papers Message-ID: <4E67ACF8B48F4D4E9649919F7B5F185B@paptoshiba> AIAI2019 - EANN2019 @ Crete, Greece - 2nd Call for Papers AIAI 2019 - EANN 2019, 24 - 26 May 2019 @ Crete, Greece CALL FOR PAPERS for 20th EANN - 15th AIAI 2019 @ Crete, Greece Dear colleagues We would like to invite you to submit your work at the 20th International Conference on Engineering Applications of Neural Networks (EANN2019) - 15th International Conference on Artificial Intelligence Applications and Innovations (AIAI2019) joint Conferences. EANN2019 / AIAI2019 are Technically sponsored by INNS / IFIP WG12.5 Websites: eann2019.eu - aiai2019.eu Paper Submission Deadline: 9th of February 2019 Springer's Volume 1000 will be assigned to EANN2019 proceedings Springer will celebrate this event by: . Offering BEST PAPER EANN 2019 AWARD!! SPRINGER will support the best paper award of EANN 2019 for a prize worth of 500 Euros of any book selection published by Springer. . Providing FREE online access to the EANN 2019 community for all the past proceedings (10 volumes) for 4 weeks. Also Springer will organize a book presentation during the 20th EANN 2019 conference. IMPORTANT DATES: . Paper Submission Deadline: 9th of February 2019 . Notification of Acceptance: 3rd of March 2019 . Conference: 24 - 26 of May 2019 SPECIAL ISSUES - PROCEEDINGS: Selected papers from the main event and workshops will be published in special issues of scientific Journals . Special Issue of the Neural computing and Applications SPRINGER journal Impact Factor 4.2 . Special Issue of the Evolving Systems Journal (SPRINGER) PROCEEDINGS will be published by SRINGER LNBIP Series for EANN2019 and in SPRINGER IFIP AICT for AIAI2019 VENUE: island of CRETE Greece, 5 stars ALDEMAR KNOSSOS ROYAL BEACH RESORT https://www.aldemar-resorts.gr/hotel/knossos-royal/ SPECIAL PRICES are arranged for conference participants WORKSHOPS: . 8th Mining Humanistic Data Workshop . 4th 5G-PINE (5G ? Putting Intelligence to the Network Edge) . 1st Workshop on Pervasive Intelligence (1st PEINT) TUTORIALS: . "Deep learning in Medicine and Bioinformatics: state of art and potentialities, visions" Tutorial (2 hours) by Professor Pietro Lio, University of Cambridge, UK . "Automated Machine Learning for Bioinformatics and Computational Biology", Tutorial (3 hours) by Ioannis Tsamardinos, Vincenzo Lagani KEYNOTE SPEAKERS: . Professor Panagiotis Papapetrou, Dept. of Computer and Systems Sciences, Stockholm University . Dr. Evangelos Eleftheriou, IBM Fellow, Cloud & Computing Infrastructure, Zurich Research Laboratory, Zurich, Switzerland . Professor Plamen Angelov, University of Lancaster, UK . Dr. John Oommen, Chancellor?s Professor; Life Fellow: IEEE; Fellow: IAPRSchool of Computer Science, Carleton University, Ottawa, Canada Conference topics, CFPs and submissions details can be found at: . http://www.aiai2019.eu/cfp/ . http://www.eann2019.eu/cfp/ -------------------------------------------------------------------------------- *** Apologies for cross-posting *** Dr Papaleonidas Antonios Publication Chair of AIAI2019 & EANN 2019 Civil Engineering Department Democritus University of Thrace papaleon at sch.gr --- ???? ?? e-mail ????????? ??? ???? ??? ?? ????????? Avast antivirus. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Thu Jan 24 11:58:22 2019 From: Pavis at iit.it (Pavis) Date: Thu, 24 Jan 2019 16:58:22 +0000 Subject: Connectionists: Postdoc Position on dynamic scene understanding at Istituto Italiano di Tecnologia (IIT - Genova) - [ Postdoc ] BC 76193 In-Reply-To: References: Message-ID: Postdoc Position on dynamic scene understanding at Istituto Italiano di Tecnologia (IIT - Genova) - [ Postdoc ] BC 76193 Workplace: Genova, IIT, Italy The Visual Geometry and Modelling (VGM, https://vgm.iit.it/) Research Line at Istituto Italiano di Tecnologia (IIT) invites qualified applicants to submit their CV?s for a Postdoc position in Genova, Italy, under the supervision of Dr. Alessio Del Bue. The VGM mission is to provide computational tools for the large-scale understanding of image and video data for autonomous system for different application domains in engineering, life science and robotics. The scientific core of the VGM Lab relates to the research fields of Computer Vision, Signal Processing and Machine Learning with the primary goal to provide algorithms for: Dynamic 3D scene understanding from video and RGBD data; Reality Capture: 3D reconstruction from images, sound and range data; Large-scale data understanding and modelling for Life Science and Engineering. Expertise in these research fields applies to several practical and challenging problems in the industry with ongoing collaboration with world-leading companies in machine vision, robotics, automation, energy, avionics, photonics and fashion industries. VGM is opening a postdoc position to work on dynamic 3D scene understanding with topics related to semantic simultaneous localisation and mapping (S-SLAM) and semantic structure from motion (S-SfM) which are core research themes of the Lab (Crocco et al., CVPR 2016), (Magerand & Del Bue, ICCV2017), (Rubino et al., PAMI 2018). As these previous works mainly deal with static scenes, the VGM lab will push forward these activities developing computational methods for geometric and semantic understanding in challenging dynamic and non-rigid environments. The key aspect of the research carried at VGM will focus on the fusion of state of the art deep architectures with 3D reasoning from multi-view images or RGBD data. Required qualifications: A Ph.D. in computer science or related field (with specialization in either computer vision, information retrieval or machine learning); Proficiency with programming languages, in particular Python, C/C++ and MATLAB; Experience on SLAM and multi-view geometry approaches for sparse and dense 3D reconstruction; Publication in major Computer Vision conferences/journals (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, IVC, CVIU); Good communication skills and ability to cooperate; Proficient in English language (written and oral). Desirable skills: Practical experience on Deep Learning algorithms and relevant platforms for geometric learning (e.g. TensorFlow, PyTorch, etc.); Knowledge of OpenCV, PCL and Open3D libraries; Experience of graph structure applications e.g. scene graph estimation, matching, retrieval or inference; The salary offered to the successful candidate will be commensurate to experience and skills. The call will remain open until the position is filled but a first deadline for evaluation of candidates will be March 1, 2019. Please send your application to pavis at iit.it and applications at iit.it quoting ?BC 76193 - VGM Postdoc Position on dynamic scene understanding? in the e-mail subject. Your application shall contain a detailed CV, a one-page research statement and contact information of two referees. Fondazione Istituto Italiano di Tecnologia (http://www.iit.it) is a non-profit institution created with the objective of promoting technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology. Istituto Italiano di Tecnologia is an equal opportunity employer that actively seeks diversity in the workforce. Please note that the data that you provide will be used exclusively for the purpose of professional profiles? evaluation and selection, and in order to meet the requirements of Istituto Italiano di Tecnologia. Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, will process your data acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo[at]iit.it) -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Thu Jan 24 12:20:35 2019 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 24 Jan 2019 09:20:35 -0800 Subject: Connectionists: NEURAL COMPUTATION - February 1, 2019 In-Reply-To: Message-ID: Neural Computation - Volume 31, Number 2 - February 1, 2019 Available online for download now: http://www.mitpressjournals.org/toc/neco/31/2 http://cognet.mit.edu/content/neural-computation ----- Review Modeling the Correlated Activity of Neural Populations: A Review Christophe Gardella, Olivier Marre, and Thierry Mora Article Functional Diversity in the Retina Improves the Population Code Michael J. Berry II, Felix Lebois, Avi Ziskind, and Rava Azeredo da Silveira Letters Equivalence of Equilibrium Propagation and Recurrent Backpropagation Benjamin Scellier, M.S., Yoshua Bengio Calculating the Mutual Information Between Two Spike Trains Conor J. Houghton Learning Invariant Features in Modulatory Networks Through Conflict and Ambiguity W. Shane Grant, Laurent Itti Dynamic Computational Model of the Human Spinal Cord Connectome Jeffrey E Arle, Nicolae Iftimia, Jay L Shils, Longzhi Mei, and Kristen W Carlson Accelerating Nonnegative Matrix Factorization Algorithms Using Extrapolation Andersen Man Shun Ang, Nicolas Gillis Systems of Bounded Rational Agents with Information-theoretic Constraints Sebastian Gottwald, Daniel Alexander Braun ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From Nicolas.Rougier at inria.fr Thu Jan 24 09:05:28 2019 From: Nicolas.Rougier at inria.fr (Nicolas Rougier) Date: Thu, 24 Jan 2019 15:05:28 +0100 Subject: Connectionists: Call for Paper: Scipy 2019 / Cognitive Science & Neuroscience Message-ID: Dear all, We?re thrilled to announce the call for paper for the SciPy (Scientific Python) 2019 conference is open. You?ll find relevant information below. Olivia Guest & Nicolas Rougier Co-chairs for the Cognitive Science & Neuroscience symposia --- When: July 8, 2019 to July 14, 2019 (main conference from July 10 to July 12) Where: Austin, Texas, USA Who: The annual SciPy Conference brings together over 800 participants from industry, academia, and government to showcase their latest projects, learn from skilled users and developers, and collaborate on code development. What: short summary (~100 words) + abstract (~500 words) Deadline: February 10, 2019 Conference Website: https://www.scipy2019.scipy.org/ Submission Website: https://easychair.org/conferences/?conf=scipy2019 From pkoprinkova at yahoo.com Thu Jan 24 10:02:50 2019 From: pkoprinkova at yahoo.com (Petia Koprinkova) Date: Thu, 24 Jan 2019 15:02:50 +0000 (UTC) Subject: Connectionists: IEEE SMC INISTA 2019 - second CFP References: <1587535071.478094.1548342170940.ref@mail.yahoo.com> Message-ID: <1587535071.478094.1548342170940@mail.yahoo.com> Dear Colleagues, We are happy to announce that 2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), July 3-5, 2019, Sofiq, Bulgaria is now approved by IEEE! The conference is financially sponsored by the IEEE Bulgaria and technically co-sponsored by the Institute of Information and Communication Technologies at Bulgarian Academy of Sciences as well as by the IEEE SMC society. The deadline for Special sessions proposal has expired but we can wait for proposals for one week more (until February 1st). The submission sysytem (Easychair) will be opened within few days. The deadline for full papers submission is March 15, 2019. Accepted and presented papers will appear in IEEExplore. We are pleased to announce that we already have four plenary speakers and two accepted Special sessions. More information about the conference venue and topics can be found on the conference site: http://www.inista.org/ We invite all colleagues working in the wide area of Intelligent Systems and their Applications to submit their papers.We'll be happy to meet all of you in Sofia! INISTA 2019 Co-Chair Petia Koprinkova-Hristova -------------- next part -------------- An HTML attachment was scrubbed... URL: From albrecht.haase at unitn.it Thu Jan 24 11:21:27 2019 From: albrecht.haase at unitn.it (Albrecht) Date: Thu, 24 Jan 2019 17:21:27 +0100 Subject: Connectionists: 1st Summer School of Interdisciplinary Research on Brain Network Dynamics, Italy, 24-28 June 2019 Message-ID: Dear colleagues, we would like to announce that applications are open for the 1st Summer School of Interdisciplinary Research on Brain Network Dynamics * held 24 - 28 June 2019 in a historic monastery in Val di Sole, a valley in the Dolomite mountains in northern Italy * organized by the BRANDY consortium at the University of Trento (https://projects.unitn.it/brandy/) * it aims at young scientists (Master's students to junior postdocs) from Neurosciences, Biology, Computer Sciences, Engineering, Physics, or related field * the registration fee of 750 ? includes 5 days of lectures, accommodation, all meals, a social event * participation is limited to 50 students, application deadline is 29 March 2019 * all details and application via the school's website https://event.unitn.it/brandyschool2019/ We would be very grateful if you forwarded this to colleagues and students. Best regards, the Organizing Committee Albrecht Haase, University of Trento Jorge Jovicich, University of Trento Ludovico Minati, Tokyo Institute of Technology, Polish Academy of Science, & University of Trento Lorenzo Pavesi, University of Trento mail: brandyschool at unitn.it web: https://event.unitn.it/brandyschool2019/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dominik.endres at uni-marburg.de Thu Jan 24 11:07:05 2019 From: dominik.endres at uni-marburg.de (Dominik Endres) Date: Thu, 24 Jan 2019 17:07:05 +0100 Subject: Connectionists: PhD position: model-based analysis of atypical perception in autism Message-ID: <3298587.G3pS2joDB3@pc04174> *Project title*: Atypical Perception in Autism-Spectrum Disorders: Model-based Analysis of Functional and MR-Spectroscopy Data for the Investigation of Deviant Perceptual Processes *What we offer*: A PhD student position in an interdisciplinary, DFG-funded research project, involving a combination of functional imaging, Psychiatry, and computational modeling. The position is part-time (65 % of regular working hours) with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13). An association with the DFG-RTG 2271 ?breaking expectations? or the CRC 135 ?Cardinal Mechanisms of Perception? is possible and encouraged. *What we expect*: a qualified degree in Neuroscience, Psychology, Cognitive Science, Computer Science, engineering or Physics (Master, Diploma, or comparable) as well as demonstrable programming experience in a high-level language, e.g. Python or Matlab. We expect you to be interested in the topic of the project (to be documented in a motivation letter (1 page max), in which you may refer to prior experiences, for instance, a thematically pertinent thesis, student research assistant positions, etc.), or quantitative modeling. We also expect prior exposure to machine learning and Bayesian statistics. *Application deadline*: 15.02.2019 Feel free to contact Prof. Dr. Dominik Endres at mailto:dominik.endres at uni- marburg.de for more information. The official advert can be found at https://www.uni-marburg.de/de/universitaet/administration/verwaltung/ dezernat2/personalabteilung/bewerber/stellen/wissenschaftliche-stellen/ fb04-0001-wmz-150219-englisch.pdf -- Prof. Dr. Dominik Endres AE Theoretische Neurowissenschaft Allgemeine und Biologische Psychologie FB Psychologie, Gutenbergstr 18, 35032 Marburg, Germany Tel. +49-(0)6421-28-23818 From sahidullahmd at gmail.com Thu Jan 24 11:49:57 2019 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Thu, 24 Jan 2019 17:49:57 +0100 Subject: Connectionists: Two Postdoctoral Researcher/Project Researcher Positions in Speech Processing Message-ID: [apologies for possible cross-posting] Two Postdoctoral Researcher/Project Researcher positions in speech processing The University of Eastern Finland, UEF, is one of the largest multidisciplinary universities in Finland. We offer education in nearly one hundred major subjects, and are home to approximately 15,500 students and 2,500 members of staff. We operate in Joensuu and Kuopio. In international rankings, we are ranked among the leading universities in the world. The Faculty of Science and Forestry operates on the Kuopio and Joensuu campuses of the University of Eastern Finland. The mission of the faculty is to carry out internationally recognised scientific research and to offer research-education in the fields of natural sciences and forest sciences. The faculty invests in all of the strategic research areas of the university. The faculty?s environments for research and learning are international, modern and multidisciplinary. The faculty has approximately 3,800 Bachelor?s and Master?s degree students and some 490 postgraduate students. The number of staff amounts to 560. http://www.uef.fi/en/lumet/etusivu We are now inviting applications for * two Postdoctoral Researcher/Project Researcher positions in speech processing funded by the Academy of Finland at the School of Computing, Joensuu Campus.* - *One position in machine learning for speaker modelling (e.g. speaker verification, voice anti-spoofing, voice conversion, text-to-speech, or similar)* - *One position in perceptual and/or acoustic speaker characterization (e.g. phonetics/linguistics, speech modelling, statistical methods)* Both positions are filled in the Academy of Finland funded NOTCH research project (NOn-cooperaTive speaker CHaracterization), led by Associate Professor Tomi H. Kinnunen. The project aims at advancing the state-of-the-art in automatic speaker verification (defence) and voice conversion (attack) under a generic umbrella of non-cooperative speech, whether being induced by spoofing attacks, disguise, or other less expected intentional voice modifications. The NOTCH project applies multi-disciplinary research methods. The ideal candidate for the first position will have a background in machine learning or signal processing for speaker modelling and characterization. You may have a background in recognition, conversion or synthesis methods, as long as you are seasoned in state-of-the-art machine learning theory and practice (especially deep learning). The ideal candidate for the second position will have a background in acoustic-phonetic or perceptual methods for speaker characterization and will be fluent in devising novel statistical analysis methods such as linear mixed effect models. For both positions, multi-disciplinary thinking and willingness to contribute to both themes is considered a plus. The *Computational Speech Group* of the School of Computing ( https://www.uef.fi/web/speech/) , formed officially in 2018, works in the facilities of Joensuu Science Park, provides access to a modern research infrastructure and is a strongly international working environment. We are a group of dedicated individuals who do not want to follow a linear research path ? we keep our mind open to high-risk new directions and collaborations. We hosted the Odyssey 2014 conference, were a partner in the H2020-funded OCTAVE project, and are known as a co-founder of the Automatic Speaker Verification and Countermeasures (ASVspoof) challenge series (http://www.asvspoof.org/). Joensuu, a friendly city ?in the middle of KNOWhere? (as one of UEF?s slogans say) of about 115,000 inhabitants, is compact and contains all the necessary services within walking distance, with low living expenses and excellent opportunities for many outdoor activities. Despite its remote location, Joensuu is very international thanks to many of UEF?s international collaboration programmes and a vibrant student community. A person to be appointed as a postdoctoral researcher shall hold a suitable doctoral degree that has been awarded less than five years ago. If the doctoral degree has been awarded more than five years ago, the post will be one of a project researcher. The doctoral degree should be in spoken language technology, electrical engineering, computer science, machine learning or a closely related field. Researchers finishing their PhD in the near future are also encouraged to apply for the positions. However, they are expected to hold a PhD degree by the starting date of the position. We expect strong hands-on experience and a creative, out-of-the-box problem solving attitude. A successful applicant needs to have an internationally proven track record in topics relevant to the project he or she applies to. English may be used as the language of instruction and supervision in these positions. The positions will be filled from earliest April 1, 2019 for a minimum period of 12 months. The continuation of the positions will be agreed separately. The positions will be filled for a fixed term due to them pertaining to a specific project (positions of postdoctoral researcher shall always be filled for a fixed term, UEF University Regulations , Section 31). The salary of the positions is determined in accordance with the salary system of Finnish universities and is based on level 5 of the job requirement level chart for teaching and research staff (?2,903.61/ month). In addition to the job requirement component, the salary includes a personal performance component, which may be a maximum of 50.0% of the job requirement component. The salary of a postdoctoral researcher is in the beginning around 3,300.00 - 3,500.00 euros. *For further information on the position, please contact (NOTCH):* Associate Professor Tomi Kinnunen, email: tkinnu(a)cs.uef.fi, tel. +358 50 442 2647. *For further information on the application procedure, please contact:* Executive Head of Administration Arja Hirvonen, email: arja.hirvonen(a)uef.fi, tel. +358 29 445 3002. A probationary period is applied to all new members of the staff. You can use the same electronic form to apply for both research projects. The electronic application should contain the following appendices: - a r?sum? or CV - a list of publications - copies of the applicant's academic degree certificates/ diplomas, and copies of certificates / diplomas relating to the applicant?s language proficiency, if not indicated in the academic degree certificates/diplomas - motivation letter The application needs to be submitted *no later than February 28, 2019 (by 24:00 EET)* by using the electronic application form. Link to the application form: https://rekry.saima.fi/certiahome/aew.html?did=5600&lang=fi&job_id=6762&jc=16 -- Md Sahidullah website: *https://sites.google.com/site/iitkgpsahi/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Thu Jan 24 22:47:32 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 25 Jan 2019 03:47:32 +0000 Subject: Connectionists: Call for Papers: SBP-BRiMS 2019 -- Social Computing, Behavior/Cultural Modeling, Prediction and Simulation 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 CALL FOR PAPERS: SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interests include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and/or evolution * Collective action and governance * Information, belief, technology of disease diffusion * Public opinion representation, identification and modeling * Information diffusion * Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations * Validation and analysis techniques for social behavioral models Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes over time or space * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Social Cyber-Security applications * Social simulation for military training * Cyber diplomacy * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Applications for Health and Well-being * Data science applied to health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation CHALLENGE PROBLEMS: There will be two data science challenges, one on opioids and one on disinformation. Additional details are posted on the conference website, SBP-BRiMS.org/challenge. The deadline for submissions this year will be 17-May-2019. IMPORTANT DATES: Regular Paper Submission: 22-February-2019 Author Notification: 22-March-2019 Final Version Submission for Regular Papers: 12-April-2019 Challenge Problem Paper Submission: 17-May-2019 All accepted papers require confirmation of conference registration when uploading final versions. Each accepted paper requires a separate registration. All regular papers will be a maximum of 10 pages including all figures, tables and references. See http://sbp-brims.org/cfp for more information on formatting AWARDS: All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. Submission of a paper to the conference means that the authors consent to send an extended version to the special issue, should they receive one of the awards. Papers receiving the best paper awards, the best student paper award, winner of the opioid challenge, and winner of the disinformation challenge will then send an extended version of their paper for publication in the best of SBP-BRiMS 2019 special issue. -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.Visser at uva.nl Fri Jan 25 02:53:20 2019 From: A.Visser at uva.nl (Visser, Arnoud) Date: Fri, 25 Jan 2019 07:53:20 +0000 Subject: Connectionists: Two Junior Lecturer Positions in Artificial Intelligence in Amsterdam Message-ID: <3f379e26989b496ea640afaa226ce565@uva.nl> Do you want to contribute to educate Bachelor Artificial Intelligence students in Amsterdam? We are two Junior Lecturer positions available. We are looking for candidates with a Master of Artificial Intelligence or a related Master of Science. We cannot expect competence on all components of the bachelor, but we like to have candidates at ease with at least of two of the following topics: * programming (Python) * logic * natural language processing * mathematics * computer vision * machine learning For more details (in Dutch): https://aa.academictransfer.com/employer/UVA/vacancy/52165/lang/nl/ Arnoud Visser https://staff.fnwi.uva.nl/a.visser/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jennytorres163 at gmail.com Fri Jan 25 12:16:10 2019 From: jennytorres163 at gmail.com (Jenny TORRES) Date: Fri, 25 Jan 2019 12:16:10 -0500 Subject: Connectionists: [CFP] LAJC Vol.6 Nro. 1 (2019) Message-ID: Dear Colleague, We apologize if you received duplicate copies of this CFP ============================================= ** Call for Papers ** Latin-American Journal of Computing (LAJC) http://lajc.epn.edu.ec Indexed: Latindex Cat?logo ============================================= ============================================= The journal had included a new topic of interest: Science, Technology and Society (STS) ============================================= Latin American Journal of Computing - LAJC is an open access peer-reviewed journal, sponsored by the Faculty of Systems Engineering of the Escuela Polit?cnica Nacional of Ecuador. This journal publishes new results in different areas such as Information Security, Information Systems, Intelligent Systems and Software Engineering. The goal of this journal is to bring together researchers and practitioners to present original research papers, technical reviews and state-of-the-art reviews for publication. Topics of interest include, but are not limited to: *- Information security * Communication and telecommunication systems, Cryptography, Distributed computing, Distributed systems and databases, Forensic computing, Information security in networks and Internet, Security auditing, Security in financial transactions and electronic commerce and Security policies in organizations. *- Information systems * Analysis of business requirements, Business strategy and intelligence, Databases, E-business, Educational information systems (E-learning), Enterprise systems, Free software, Geographical information systems, Human-computer interaction, Information management, IT governance, Management of information systems and Web accessibility. *- Intelligent systems* Artificial intelligence, Computational models, Computer assisted language learning systems, Data mining, Distributed control systems, Human x machine dialogue, Image processing, Machine learning, Machine translation, Musical computing, Natural language processing, Pattern recognition, Question-answering systems, Semantic web and Speech processing. *- Software engineering* Cloud computing, Design and development of software, Evolution and maintenance of software, Formal methodologies and emerging paradigms of software engineering, Human-computer interfaces, Mobile applications, Software modelling and analysis, Software design, Software evolution, Software process, Software quality, Software verification and validation and Web engineering. *- Science, Technology and Society (STS)* Science, technology and innovation policy. Science, technology and education. Management of science and technology. University-company relations. Science, technology and gender relations. Technological change and innovation. Knowledge management. Emerging topics of the STS field. Authors are invited to submit original research papers and state-of-the-art reviews for publication in the Latin-American Journal of Computing LAJC. Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other journal at the same time. All submitted research papers will be carefully evaluated based on their originality, relevance, and technical soundness. They will be reviewed on a double-blind basis, which means that the author(s) must remove: a. Explicit indications of the authors names and institutions. b. Acknowledgments and biography. c. The paper should be written in such a way that it does not reveal author?s identity. Author names, institutions, acknowledgments and biography will be returned to the printed manuscript upon acceptance for publication. All final submissions should be written in English or Spanish with a minimum paper length of six (6) pages and a maximum paper length of fifteen (15) pages. Submissions should be formatted according to the guidelines of IEEE. Please find the template for submission at: http://lajc.epn.edu.ec/call-for-papers =================== Important Dates: =================== Submission Deadline: March 30th, 2019 Notificaton Due: April 30th, 2019 Final Version Due: May 15th, 2019 Publication: May 30th, 2019 =================== Editor-in-Chief =================== Jenny Torres, Ph.D. Escuela Polit?cnica Nacional, Ecuador e-mail: jenny.torres at epn.edu.ec -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.soto at cs.uns.edu.ar Fri Jan 25 15:37:35 2019 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Fri, 25 Jan 2019 17:37:35 -0300 Subject: Connectionists: Call for participation: ACM Intelligent User Interfaces - IUI 2019 Message-ID: ACM IUI 2019 (https://iui.acm.org/2019/index.html) is the 24th annual meeting of the intelligent interfaces community and serves as a premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) community meets the Artificial Intelligence (AI) community. Registration is now open, please register and book your hotel room as soon as possible (last year, registration was sold out one month in advance!). This year we decided to offer two registration options. Main conference+workshop: Main conference+workshop registration includes the main conference from March 16 to March 20, 2019, with keynotes, paper presentations, posters, demos, workshops, a reception, and a banquet. Workshop only: Workshops will be on March 20, 2019. Registration dates: - Early registration (until Feb 8th) - Late registration (until March 15) - Onsite (after March 15) Please visit https://iui.acm.org/2019/registration.html for more details. Also information on accommodation can be found at: https://iui.acm.org/2019/accomodation.html From diego.perez at qmul.ac.uk Fri Jan 25 12:16:22 2019 From: diego.perez at qmul.ac.uk (Diego Perez Liebana) Date: Fri, 25 Jan 2019 17:16:22 +0000 Subject: Connectionists: IEEE Conference on Games 2019 - Call for Papers Message-ID: Dear all, The Conference on Games (CoG; http://www.ieee-cog.org/) evolves from the traditional Computational Intelligence and Games (CIG) to bring together leading researchers and practitioners from academia and industry in the field of Games, to discuss recent advances and explore future directions. Games offer a fantastic domain for computational creativity, game design, technology, education, social sciences and, undoubtedly, artificial and computational intelligence. The annual IEEE Conference on Games (IEEE CoG) seeks to share insights and cutting-edge research related to game technologies and design, covering scientific, technical, and engineering aspects of games. CALL FOR PAPERS IEEE CoG 2019 will include presentations of peer-reviewed papers, invited talks by high-profile industry and academic leaders, panels, posters and demos. We welcome papers related to all aspects of Games, including, but not limited to, the following broad subject areas: * Computational and Artificial Intelligence in Games: advances in and applications of machine learning, search, reasoning, optimization and other CI/AI methods related to video games, board games, computer games, serious games, mathematical games and other types of games. This includes, but is not limited to, methods for game playing, content generation, player modeling, and game adaptation, as well as game-based testing of AI methods. * Game Technology: papers on engines, frameworks, graphics, sound, networking and animation. * Game Interaction and Player Experience: advances in game interfaces and modeling of player experience and metrics. * Game Design: methods, techniques and studies on video and board game design. * Game Education: usage of games for education, learning and development. This includes game competitions used for teaching and research in education institutions. Submission types and deadlines. None of the deadlines will be extended: Full technical papers. Deadline on 24th March 2019 Full papers have an 8 page limit, and should constitute a technical or empirical contribution to scientific, technical, and engineering aspects of games. Short, competition, vision and demo papers. Deadline on 14th May 2019 Short papers (2-4 pages): describe work in progress, smaller projects that are not yet ready to be published as a full paper, or new progress on projects that have been reported elsewhere. Competition papers (8 pages) describe research related to one of the competitions in the Games community, including the design of new competitions and in particular submissions to existing competitions. Vision papers (8 pages) describe a vision for the future of the Games field or some part of it, are based on extensive research and include a comprehensive bibliography. Standards for competition papers are as high as for other CoG papers, and standards for vision papers are higher. Poster papers (2 pages) describe work in progress and will be presented during a demo session. Games Industry track. Deadline on 11th June 2019 We welcome talk proposals from the games industry that wish to present their work on the areas covered in this conference, such as games technology and applications of Artificial Intelligence to games. We are interested in presentations about research prototypes, commercial products, indie/mobile/AAA games, AR/VR applications, etc., as well as participation on poster sessions and discussion panels. These talk proposals do not require the submission of a written manuscript to be accepted at the conference. In order to submit a proposal, please contact the general or industry chairs. SUBMISSIONS All paper submissions should follow the recommended IEEE conference author guidelines. MS Word and LaTeX templates can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html All submitted papers will be fully peer-reviewed, and accepted papers will be published in the conference proceedings and on IEEE Xplore. Short papers will be allocated poster presentations and short oral presentations if time and space permits; vision papers will be allocated regular oral presentation slots; competition papers will be allocated short or regular oral presentation. Reviewing standards for competition papers are as high as for regular CoG papers, and standards for vision papers are higher. For the paper submission, authors need to follow this EasyChair link: https://easychair.org/conferences/?conf=cog19 Peer-review is single-blind. Best wishes, Diego P?rez Li?bana Lecturer in Computer Games and Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London (UK) email: diego.perez at qmul.ac.uk web: http://www.diego-perez.net -------------- next part -------------- An HTML attachment was scrubbed... URL: From pgrover at andrew.cmu.edu Fri Jan 25 11:56:05 2019 From: pgrover at andrew.cmu.edu (Pulkit Grover) Date: Fri, 25 Jan 2019 11:56:05 -0500 Subject: Connectionists: Postdoctoral position jointly in Behrmann/Grover labs CMU in understanding neural mechanisms through noninvasive brain monitoring Message-ID: Postdoctoral position jointly in Behrmann/Grover labs CMU in understanding neural mechanisms through noninvasive brain monitoring A postdoc position on utilizing noninvasive measurement modalities is available in the labs of Marlene Behrmann and Pulkit Grover at Carnegie Mellon University (Pittsburgh, PA). The team's goal is to utilize existing and novel engineering and mathematical tools to understand neural mechanisms in healthy and diseased states through EEG measurements, possibly complemented by fMRI. The role of the postdoc will be to lead experimental testing, simulations, and data analysis. The postdoc will collaborate with information theorists, neuroscientists, experimentalists, and clinicians. This is an opportunity to work on challenging and applicable scientific problems in a highly interdisciplinary and vibrant environment. Requirements: PhD in a related discipline (Engineering, Computer Science, Neuroscience, or Biomedical Engineering) with a strong experimental and computational record. Background in EEG recordings is required. The labs are committed to the professional development of the members, making this position a valuable preparation for those interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties. The ideal start date is April 2019, but early applications will also be accepted. The position is initially for 12 months with the possibility of renewal. Compensation will be competitive, and commensurate with relevant experience. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to behrmann at cmu.edu and pulkit at cmu.edu with the subject line ?neural monitoring postdoc?. Application review will proceed until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From vitordouzi at gmail.com Sat Jan 26 11:52:06 2019 From: vitordouzi at gmail.com (Vitor Mangaravite) Date: Sat, 26 Jan 2019 14:52:06 -0200 Subject: Connectionists: Deadline Extension: Narrative Extraction from Texts (Text2Story'19@ECIR'19). Second International Workshop Message-ID: *** Apologies for cross-posting *** ++ CALL FOR PAPERS ++ ****************************************************************************************** Second International Workshop on Narrative Extraction from Texts (Text2Story'19 at ECIR'19) held in conjunction with the 41st European Conference on Information Retrieval Cologne, Germany, April 14th, 2019 Website: http://bit.ly/text2story19 ****************************************************************************************** ++ Important Dates ++ *- Submission deadline: February 4th, 2019* - Acceptance Notification Date: March 4th, 2019 - Camera-ready copies: March 22nd, 2019 - Workshop: April 14th, 2019 ++ Overview ++ The increasing availability of text information in the form of news articles, comments or posts in social networks poses new challenges for those who aim to understand the storyline of an event. Although understanding natural language text has improved over the last couple of years with several research works emerging on the grounds of information extraction and text mining, the problem of constructing consistent narrative structures is yet to be solved. It is not only the algorithms that need to be improved, but also the state-of-the-art that needs to advance in order to provide methods that automatically identify, interpret and relate the different elements of a narrative which will be likely spread from different sources. In this workshop we aim to foster the discussion of recent advances in the link between Information Retrieval (IR) and formal narrative representations from texts. More specifically, we aim to capture a wide range of multidisciplinary issues related to the text-to-narrative-structure and to its various related tasks. This is a very rich line of research that poses many challenging problems in information retrieval, text mining, information extraction, computational linguistics and automatic production of media content. ++ List of Topics ++ Research works submitted to the workshop should foster the scientific advance on all aspects of storyline generation from texts including but not limited to narrative and content generation, formal representation, and visualization of narratives. This includes the following topics (not limited): - Event Identification - Narrative Representation Language - Sentiment and Opinion Detection - Argumentation Mining - Narrative Summarization - Multi-modal Summarization - Storyline Visualization - Temporal Aspects of Storylines - Story Evolution and Shift Detection - Causal Relation Extraction and Arrangement - Evaluation Methodologies for Narrative Extraction - Big data applied to Narrative Extraction - Resources and Dataset showcase - Personalization and Recommendation - User Profiling and User Behavior Modeling - Credibility - Models for detection and removal of bias in generated stories - Ethical and fair narrative generation - Fact Checking - Bots Influence - Bias in Text Documents - Automatic Timeline Generation ++ Submission Guidelines ++ We invite two kinds of submissions: - Research papers (max 7 pages + references) - Demos and position papers (max 5 pages + references) Papers must be submitted electronically in PDF format through Easy Chair ( https://easychair.org/conferences/?conf=text2story2019). All submissions must be in English and formatted according to LNCS style ( http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines ) Submissions will be peer-reviewed by at least three members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (usually indexed on DBLP). ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. All papers will also be also presented in an interactive poster session. ++ Invited Speakers ++ TBA ++ Organizing committee ++ Al?pio M. Jorge (INESC TEC; University of Porto, Portugal) Ricardo Campos (INESC TEC; Polytechnic Institute of Tomar, Tomar, Portugal) Adam Jatowt (Kyoto University, Japan) Sumit Bhatia (IBM Research AI, India) ++ Proceedings Chair ++ ? Concei??o Rocha (LIAAD INESC TEC) ? Jo?o Paulo Cordeiro (INESC TEC; University of Beira Interior) ++ Web Chair ++ ? Arian Pasquali (INESC TEC) ++ Dissemination Chair ++ ? Vitor Mangaravite (UFMG; INESC TEC) ++ Program Committee ++ Nicola Ferro (University of Padova) Miguel Martinez-Alvarez (Signal) Jo?o Magalh?es (New University of Lisbon) Federico Nanni (University of Mannheim) Dhruv Gupta (Max Planck Institute for Informatics) Yihong Zhang (Kyoto University) Nuno Moniz (LIAAD/INESC TEC) Bruno Martins (IST and INESC-ID - Instituto Superior T?cnico, University of Lisbon) Mark Finlayson (Florida International University) Marc Spaniol (Universit? de Caen Normandie) Nina Tahmasebi (University of Gothenburg) Florian Boudin (Universit? de Nantes) Henrique Lopes Cardoso (University of Porto) Udo Kruschwitz (University of Essex) Mengdie Zhuang (The University of Sheffield) Daniel Loureiro (University of Porto) Daniel Gomes (FCT/Arquivo.pt) Pablo Gamallo (University of Santiago de Compostela) Paulo Quaresma (Universidade de Evora) S?rgio Nunes (University of Porto) ?lvaro Figueira (University of Porto) Ga?l Dias (Normandie University) Gerasimos Lampouras (The University of Sheffield) ++ Contacts ++ Website: http://bit.ly/text2story19 For general enquiries regarding the workshop, reach the organizers at: amjorge at fc.up.pt, ricardo.campos at ipt.pt, adam at dl.kuis.kyoto-u.ac.jp, sumitbhatia at in.ibm.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From cogsciconference at gmail.com Sun Jan 27 13:49:24 2019 From: cogsciconference at gmail.com (Cracow Cognitive Science Conference) Date: Sun, 27 Jan 2019 19:49:24 +0100 Subject: Connectionists: XI Cracow Cognitive Science Conference - Attention and Memory Message-ID: To whom it may concern, I'd like to share with you the information about the 11th Cracow Cognitive Science Conference. This event is a great opportunity for all young researchers from Europe to share their scientific ideas. Because of the interdisciplinary character of cognitive science our goal is to reach people from different areas implicated in the cognitive sciences. On behalf of Jagiellonian University Cognitive Science Student Association, I?m honored to invite you to the 11th Cracow Cognitive Science Conference. This year?s topic is ATTENTION and MEMORY. The event is taking place on 11-12 May 2019 in Cracow, Poland. The goal of Cracow Cognitive Science Conference is to create an opportunity for young researchers from all over the world to share their scientific ideas, broaden their horizons and meet inspiring people. Because of the interdisciplinary character of the Cognitive Sciences, we reach out to people interested in different disciplines so that the lectures and discussions are inspiring and include voices from every branch of Cognitive Science. Participants will have an opportunity to listen to lectures given by specialists from Poland and other countries. This year we will welcome professor Juan Lupi??ez and professor Rob van der Lubbe, more special guests will be announced soon. We also organise interactive workshops. In previous years participants could create their own VR environment or participate in an EEG session. This year?s workshops will be announced soon and the registration will be possible for active and passive participants. All entrants need to fill out Internet registration form with contact details and an initial subject of presentation before the 15th of February 2019. You can find the registration form here: https://goo.gl/R2rnkk . Check out our event page, where you can find the CFP and more details https://www.facebook.com/events/2325854307694766/. If you are interested, you can also visit our website: http://ccsc.edu.pl and our page on Facebook: https://www.facebook.com/cracowcognitivescienceconference Kind Regards, Magdalena Sabat Organizational Committee of 11th CCsC -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: XICCSC-CFP.pdf Type: application/pdf Size: 1572153 bytes Desc: not available URL: From se37 at cornell.edu Sun Jan 27 14:50:37 2019 From: se37 at cornell.edu (Shimon Edelman) Date: Sun, 27 Jan 2019 19:50:37 +0000 Subject: Connectionists: Language as goal-directed sequential behavior: computational theories, brain mechanisms, evolutionary roots Message-ID: Linguist friends and sympathizers: please share symposium info? Language as goal-directed sequential behavior: computational theories, brain mechanisms, evolutionary roots May 20-23, Shonan Center, Japan Further information and confirmed participants: https://www.dropbox.com/s/he0f2bahdfpohef/call-for-participation.txt?dl=0 Interested in participation? Please contact one of the organizers: Kenji Doya, Okinawa Institute of Science and Technology Graduate University (doya at oist.jp) Shimon Edelman, Cornell University (edelman at cornell.edu) Takashi Hashimoto, Japan Advanced Institute of Science and Technology (hash at jaist.ac.jp) Shimon Edelman Professor, Department of Psychology, 232 Uris Hall Cornell University, Ithaca, NY 14853-7601 Home page: http://kybele.psych.cornell.edu/~edelman Latest book: http://kybele.psych.cornell.edu/~edelman/Beginnings ????Los fascistas no pasar?n! ?No pasar?n!??? From rui.costa at bristol.ac.uk Sun Jan 27 16:34:41 2019 From: rui.costa at bristol.ac.uk (Rui Ponte Costa) Date: Sun, 27 Jan 2019 21:34:41 +0000 Subject: Connectionists: PhD position in computational neuroscience/machine learning Message-ID: <103FBEA2-9E60-417A-854D-44B7B12291F6@bristol.ac.uk> The Neural and Machine Learning group at the University of Bristol, UK is looking for a PhD student to work at the intersection between computational neuroscience and machine learning (funded by a EPSRC Doctoral Training grant). We are part of the Bristol Computational Neuroscience Unit and are associated with the world-class neuroscience and machine learning communities at Bristol, and we also collaborate with other national and international labs. Applicants should hold or expect to obtain a First Class or Upper Second Class Honours degree or equivalent in engineering, computer science, physics, mathematics, computational neuroscience or machine learning (or equivalent), and a strong interest in neural and biological systems. This position is open to applicants who are UK citizens, or EU citizens resident in the UK for at least 3 years. Project: Deep temporal credit assignment with dynamic synapses Successful behaviour relies on the ability of animals and machines to predict the outcome of their actions. Selecting which synapses (or parameters) to adjust to trigger the right action is a hard problem as it depends on past sensory information. Exactly how does the brain solve such temporal credit assignment problems has remained largely enigmatic. In this project, the student will developed a novel theoretical framework to address the temporal credit assignment problem. This framework will be compared with experimental observations and tested in machine learning tasks in collaboration with experimental neuroscientists and machine learning researchers. Relevant papers: * Llera M, Sacramento J and Costa RP - Computational roles of plastic probabilistic synapses - Current Opinion in Neurobiology, Volume 54, Feb 2019 * Sacramento J, Costa RP, Bengio Y and Senn W - Dendritic cortical microcircuits approximate the backpropagation algorithm - 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montreal, Canada. * Costa RP, Assael YM, Shillingford B, Freitas N and Vogels TP - Cortical microcircuits as gated-recurrent neural networks - 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA. * Costa RP, Froemke RC, Sj?str?m PJ and van Rossum MCW - Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning - eLife 2015; 10.7554/eLife.09457 University of Bristol: The University of Bristol is a world-class university ranked among the top 10 universities in the UK, and top 50 in the world. The university has one of the strongest neuroscience and machine learning communities in the UK (e.g.: Visual Information Lab, Intelligent Systems Lab and Institute for Statistical Science). The university also runs the unique Wellcome Trust Doctoral Program in Neural Dynamics with PhD students working at the intersection between theoretical and experimental neuroscience, and is associated with the Alan Turing Institute for data science and artificial intelligence. The city itself has been ranked as the best place to live in the UK and one of the most cool destinations in the world according to National Geographic. Details on how to apply: http://www.bristol.ac.uk/engineering/postgraduate/funding/epsrcdta.html When applying online please follow the instructions in the link above and include a CV, two references and a motivation letter. Deadline: 28th of February 2019 Best wishes, Rui Ponte Costa Lecturer (Assistant professor) in Computational Neuroscience and Machine Learning University of Bristol, UK Visiting Research Scientist at University of Oxford/Bern http://ruipcosta.weebly.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From dlinnlp at gmail.com Mon Jan 28 06:41:46 2019 From: dlinnlp at gmail.com (Slavi Slavov) Date: Mon, 28 Jan 2019 13:41:46 +0200 Subject: Connectionists: Call for participation in the Deep Learning Summer School at RANLP 2019 Message-ID: *Deep Learning Summer School at RANLP 2019* *Call for Participation* Varna, Bulgaria 29-30 August 2019 *https://dlinnlp.github.io/index.html * *Purpose* Deep Learning is a branch of machine learning that has gained significant traction in the field of Artificial Intelligence, pushing the envelope in the state-of-the-art, with many sub-areas including natural language, image, and speech processing employing it widely in their best-performing models. This summer school will feature presentations from outstanding researchers in the field of Natural Language Processing (NLP) and Deep Learning. These will include coverage of recent advances in theoretical foundations and extensive practical coding sessions showcasing the latest relevant technology. The summer school would be of interest to novices and established practitioners in the fields of natural language processing, corpus linguistics, language technologies, translation technology and cognitive studies. It will be held as part of the 12th biennial conference on Recent Advances in Natural Language Processing (RANLP 2019). *Important Dates**:* August 29?30, 2019: Deep Learning Summer School in NLP *Invited Speakers:* Tim Rockt?schel (University College London) - Introduction to Deep Learning for NLP Hinrich Sch?tze (Ludwig Maximilian University, Munich) - Neural-based representation Learning Kyunghyun Cho (New York University) - Latest topics in representation learning for language *Speakers and hosts of practical sessions:* To be announced soon *Registration* Registration details will be available soon on: *https://dlinnlp.github.io/index.html * *Contact Email*: dlinnlp at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From sbminna at gmail.com Mon Jan 28 06:26:35 2019 From: sbminna at gmail.com (Inna S) Date: Mon, 28 Jan 2019 13:26:35 +0200 Subject: Connectionists: Neuroscience PhD and Post-doctoral positions in Bar-Ilan University, Israel Message-ID: The laboratory of Dr. Rafi Haddad at Bar-Ilan University (Israel) is looking for excellent candidates for a Post-Doctoral or a PhD position. We study coding/decoding, brain-machine interface, and information processing. Our research uses top of the art techniques including electrophysiology, optogenetics, tracing techniques and behavioral assays. The lab is computationally oriented and therefore candidates are required to have good computational abilities and programing skills. Highly competitive stipend will be given to successful candidates along with travel allowances for participating in international conferences and workshops. To apply please contact rafihaddad at gmail.com https://www.rafi-haddad-lab.info/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From morgado.uma at gmail.com Mon Jan 28 10:05:29 2019 From: morgado.uma at gmail.com (Morgado Dias) Date: Mon, 28 Jan 2019 16:05:29 +0100 Subject: Connectionists: IEEE-International Conf. in Engineering Applications-Azores-Portugal-8-11 July2019 - First CFP References: Message-ID: <6609F721-B5D2-4B5C-A533-005ACAE80446@gmail.com> Dear Colleagues, Can you please help spreading the information about this conference which has in relevant areas for your unit/list. Thank you, Morgado Dias Universidade da Madeira Assistant Professor in Electronics and Telecommunications Automation and Instrumentation PhD Director morgado at uma.pt Tel.: 291-705307 Researcher Polo Cient?fico e Tecnol?gico da Madeira 9020-105 FUNCHAL Tel (351) 291 721 006 www.m-iti.org | admin at m-iti.org July 2018 conferences: EASIFT - WORKSHOP ? ELECTRONICS APPLICATIONS and SYSTEM INTEGRATION for FUTURE TECHNOLOGIES ? EASIFT ES2DE? - IEEE - INTERNATIONAL CONFERENCE ON ENERGY AND SUSTAINABILITY IN SMALL DEVELOPING ECONOMIES ICBEA - IEEE - INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND APPLICATIONS ICMA - INTERNATIONAL CONFERENCE ON MATHEMATICAL AND APPLICATIONS ICAP - INTERNATIONAL CONFERENCE ON APPLIED PSYCHOLOGY AND HUMAN BEHAVIOR > Begin forwarded message: > > From: IKnowD > Subject: IEEE-International Conf. in Engineering Applications-Azores-Portugal-8-11 July2019 - First CFP > Date: 25 January 2019 at 00:49:01 GMT+1 > To: morgado.uma at gmail.com > > > > Institute of Knowledge and Development > > IKnowD > > > Dear Colleagues, > > INVITATION > > It is our great pleasure to invite you to participate in the International Conference Engineering Applications ? ICEA, to be held in Sao Miguel, Azores, July 8th to 11th, 2019, organised by the Institute of Knowledge and Development, the University of Azores, the University of Madeira and the Madeira Interactive Technologies Institute jointly. > > Contributions are welcome in both theoretical developments and practical implementations in all areas involving Engineering Applications. Between all contributions presented, two will be selected to receive a best paper award. More information in the call for papers. ICEA will provide an excellent opportunity for presenting new results and to discuss the latest research and developments in the field. > > > Visit homepage > > > Deadlines > > Full Paper Submission: March 1, 2019 > > Notifications: April 15, 2019 > > Final Paper Submission (Camera Ready): May 1, 2019 > > Early registration: May 1, 2019 > > Registration limit (for authors): May 15, 2019 > > Conference dates: July 8-11, 2019 > > > Conference Topics: > > Submitted papers will be peer reviewed by a minimum of 2 reviewers holding a PhD with expertise in the submission topics. Papers are invited in all areas of Engineering Applications including (but not limited to) the following areas: > > This conference will join engineering related application areas and is organised in multiple tracks: > > Track1: > Biomedical Engineering Applications > > Track2: > Energy and Sustainability for Small Developing Economies > > Track3: > Internet of Things for Global Community > > Track4: > Electronics Applications and System Integration for Future Technologies > > Track5: > Education in Engineering > > 2018 Proceedings will be submitted for inclusion in IEEE Xplore/Digital Library. > > Submit ? > This conference is co-located with other conferences (check iknowd.org ) and participants can follow all the conferences. > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 12951 bytes Desc: not available URL: From smart at neuralcorrelate.com Mon Jan 28 11:25:17 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Mon, 28 Jan 2019 11:25:17 -0500 Subject: Connectionists: DEADLINE EXTENSION: ECEM 2019 (August 18-22, Alicante, Spain) will accept symposia proposals until February 11th In-Reply-To: <02d601d4b725$029be0b0$07d3a210$@neuralcorrelate.com> References: <02d601d4b725$029be0b0$07d3a210$@neuralcorrelate.com> Message-ID: <034301d4b726$117ecd30$347c6790$@neuralcorrelate.com> Dear colleagues, The deadline for symposia proposals for the 2019 European Conference on Eye Movements (ECEM) has been extended until February 11th. Please find full details at: http://www.ecem2019.com/index.php/abstracts/symposium Abstract submissions for talk/poster sessions are now also open, until April 5th: http://www.ecem2019.com/index.php/abstracts/abstracts-guidelines. Register before the early fee deadline and save on fees. Early registration deadline: June 17th. ECEM 2019 will be in Alicante, Spain (August 18-22) Alicante, with more than 320,000 inhabitants, is a traditional maritime city located on the Mediterranean Sea. The old part of the city encompasses Postiguet Beach, two marinas and a large commercial port. The city embraces an imposing 166-meter rocky hill right next to the sea, Monte Benacantil, crowned by The Castillo de Santa B?rbara (Santa Barbara Castle). This is one of the largest castles on the Mediterranean, and the conference dinner will take place within its premises, with breathtaking views over the city and the Mediterranean. The slopes of Monte Benacantil surround the old city of Alicante (El Barrio) like a shield. El Barrio is well known for its vibrant nightlife. The local organizing team has secured a large block of hotel rooms at special discounted rates for the conference. Specific hotel information will be made available on the website in March 2019. Lodging in the area is reasonably priced, but accommodations can become limited in the high summer season. We advise early hotel reservation. Publication of Abstracts Accepted abstracts will be published as a special issue in the Journal of Eye Movement Research (Editor: Rudolf Groner, Bern). ECEM 2017?s abstracts are available at: https://bop.unibe.ch/JEMR/issue/view/779 On Behalf of the Local Organization Committee Please feel free to share this information with your colleagues. We look forward to welcoming you to Alicante! Luis Martinez-Otero (chair), Albert Compte, and Susana Martinez-Conde -------------------------------------- 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 malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de Tue Jan 29 01:55:03 2019 From: malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de (Vinita Samarasinghe) Date: Tue, 29 Jan 2019 07:55:03 +0100 Subject: Connectionists: Postdoctoral position in computational neuroscience Message-ID: <39122dc6-f052-ee94-63fe-5e073844bbc8@ini.ruhr-uni-bochum.de> Prof. Sen Cheng, Institute for Neuroinformatics at Ruhr University Bochum, invites applications for a full-time position of *Postdoctoral Scholar (TV-L E13) in Computational Neuroscience. *The position starts on 1st July 2019 and is funded for *3 years*. This project is part of the newly established DFG research unit 2812 ?Constructing Scenarios of the Past: A New Framework in Episodic Memory? at the Ruhr University Bochum and the Westf?lische Wilhelms University M?nster. The research unit will study the cognitive and neuronal mechanisms underlying the constructed scenarios that make up episodic memory. It will employ and combine approaches from Philosophy, Psychology as well as Experimental and Computational Neuroscience. Further information about the project can be found at www.rub.de/cns . *Job description* The successful candidate will model the function of episodic memory in inference and prediction using abstract computational models. This project strives to find answers to the questions: * Why are specific experiences stored in episodic memory helpful for predicting the future? * Why can general, or semantic, information not serve the same purpose? *Your Profile: * Candidates should hold a PhD in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling or machine learning, and excellent programming skills are mandatory. In addition, relevant research experience in neuroscience or a related field is required. Experience in the study of episodic memory and in working within a collaborative research group would be a further asset. Candidates should have excellent communication skills in English and the ability to work well in a team. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. For further information see www.rub.de/cns . Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe at ini.rub.de . In addition, at least two academic references may be sent independently to the above email address. The deadline for applications is 15.03.2019. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Universit?tstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe at ini.rub.de Hours: Mon. - Fri. 8-11 -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.felsberg at liu.se Tue Jan 29 08:04:09 2019 From: michael.felsberg at liu.se (Michael Felsberg) Date: Tue, 29 Jan 2019 13:04:09 +0000 Subject: Connectionists: SCIA 2019 Deadline extension: February 6 Message-ID: The deadline for SCIA 2019 has been extended to February 6, 9 PM PST. Manuscripts are accepted at the submission site: https://cmt3.research.microsoft.com/SCIA2019/ See conference website for further details: http://ssba.org.se/scia2019/ Conference chair: Jonas Unger, Link?ping University. Program chairs: Michael Felsberg, Link?ping University Per-Erik Forss?n, Link?ping University Ida-Maria Sintorn, Uppsala University. -- Professor Michael Felsberg?????????????? Tel: +46 13 282460 Computer Vision Laboratory???????????? Mobile: +46 702 202460 Link?ping University??????????????????????????? email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden??????????? http://users.isy.liu.se/cvl/mfe/ From vito.trianni at istc.cnr.it Tue Jan 29 16:40:15 2019 From: vito.trianni at istc.cnr.it (Vito Trianni) Date: Tue, 29 Jan 2019 22:40:15 +0100 Subject: Connectionists: [jobs] open research positions in collective decision making, ISTC-CNR, Rome, Italy Message-ID: <1C042A23-C09E-4CF0-AC3A-5566C65FF367@istc.cnr.it> I?m recruiting the following profiles within the context of the project CODE: Collective Decisions in Dynamic Environments (see below for more info), carried out at the Institute of Cognitive Sciences and Technologies of the Italian National Research Council, in Rome. The following profiles are required: - junior post-doc (including those nearing the end of their PhD) - postgraduate research assistant (with possibility to enrol in a PhD school) Open positions are for 2 years (with possibility of +1 year). Preferred starting date June the 3rd, 2019. Ideal candidates should have knowledge about dynamical systems theory, multi-agent systems, swarm robotics. Good programming skills are also required (Python, C++), as well as abilities in data visualisation. The interested candidate may place an informal inquiry by email to Vito Trianni , attaching CV and a short motivation letter. The position will remain open until filled. CODE: Collective Decisions in Dynamic Environments The CODE project aims to study 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 collective decision-making under a given parameterisation, with the goal of identifying optimal conditions to maximise 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 a complex and dynamic distribution of agents in space, as resulting from non-random motion patterns. The research also includes the possibility to test the identified collective decision strategies with multi-robot systems, exploiting a swarm of kilobot robots. ======================================================================== 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 daniel.urda at uca.es Wed Jan 30 02:42:45 2019 From: daniel.urda at uca.es (=?utf-8?Q?Daniel_Urda_Mu=C3=B1oz?=) Date: Wed, 30 Jan 2019 08:42:45 +0100 Subject: Connectionists: [CFP: IWANN'19] Extended deadline: Special Session on Data-driven Intelligent Transportation Systems Message-ID: <555F4E47-F186-4D74-98E9-A0CD7C05E3BB@uca.es> *** Apologies for cross-posting. Please forward to colleagues who might be interested *** Dear Colleague, We would like to cordially invite you to submit a paper for the International Work Conference on Artificial Neural Networks (IWANN 2019) Special Session on Data-driven Intelligent Transportation Systems in Las Palmas de Gran Canarias (Spain) 12 to 14 June, 2019. IWANN 2019 Special Session on Data-driven Intelligent Transportation Systems Abstract: Intelligent Transportation Systems (ITS) use the Internet of Things (IoT) and advanced data communication technologies to build an integrated system of people, vehicles and roads. Accurate and real-time traffic related data is required to improve the performance of transportation systems, to monitorize and/or forecast the pollution rate, or to detect traffic congestion or disruption, among many others. In the recent years, the fast growth in technology has allowed the collection and availability of heterogeneous traffic related data, which enables the application of cutting-edge data analytics tools to overcome the latest challenges in this field. This session welcomes recent contributions in all ?reas connected to data-driven techniques in ITS which address transport related issues including, but not limited to: + Intelligent Transportation Systems and air pollution: ? Neural networks for air quality forecast. ? Prescriptive data analysis for local authorities? assessment. ? Vehicular air pollution in local urban areas. ? Relationship among multimodal transportation and air pollution. ? Freight distribution in urban contexts. ? Maritime transportation and air pollution + Computational intelligence in transportation systems: ? Traffic monitoring and surveillance using convolutional neural networks. ? Neural networks for short-term traffic or flow forecast. ? Disruption and/or disaster management systems. ? Driver assistance systems, autonomous cars. ? Route guidance and optimization through local and real-time vehicle information. ? Intelligent containerization. ? ITS for international transport (e.g., cross-border and transit transport facilitation) and intermodal transport. + Sensor and network technology for Intelligent Transportation Systems: ? IoT infrastructure to enhance traffic related data acquisition. ? Computer vision. ? Cybersecurity. ? Wireless sensor networks and communications in vehicles. ? Smart sensors: edge and/or fog computing. ? Data fusion methods for heterogeneous sensors Paper Submission Deadline February 15th, 2019 Paper acceptance notification date March 18th, 2019 Final paper submission deadline March 26th, 2019 Conference June 12-14th, 2019 Chairs: Ignacio Turias Dom?nguez - University of Cadiz (Spain) ignacio.turias at uca.es David Elizondo - De Montfort University (United Kingdom) elizondo at dmu.ac.uk Francisco Ortega Zamorano - University of Malaga (Spain) fortega at lcc.uma.es Best wishes, Daniel Daniel Urda Mu?oz PI - ASECTI (Big Data & Machine Learning) Departamento de Ingenier?a Inform?tica, Escuela Superior de Ingenier?a. Universidad de C?diz (Spain) Avenida de la Universidad de C?diz, n? 10, CP 11519, Puerto Real (C?diz). Tel: +34 956483246 ResearcherID: B-2040-2017 ORCID: 0000-0003-2662-798X Google Scholar: https://scholar.google.es/citations?user=fNblEd8AAAAJ&hl=es ResearchGate: https://www.researchgate.net/profile/Daniel_Urda daniel.urda at uca.es -------------- next part -------------- An HTML attachment was scrubbed... URL: From cah369 at nyu.edu Wed Jan 30 23:11:44 2019 From: cah369 at nyu.edu (Catherine Hartley) Date: Wed, 30 Jan 2019 23:11:44 -0500 Subject: Connectionists: RLDM2019 - Abstract Submission Deadline Extended to 3/1 Message-ID: The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2019) www.rldm.org July 7-10 2019, McGill University Montr?al, Qu?bec, CANADA ====================================================== Submissions to RLDM2019 are now being accepted at https://cmt3.research.microsoft.com/RLDM2019 Deadline: March 1 2019, 11:59PM PST Notification of Acceptance: 8 April 2019 We invite extended abstracts for contributed poster presentations and oral presentations. We welcome submissions of original research related to ?learning and decision making over time to achieve a goal?, coming from any discipline or disciplines, describing empirical results from human, animal or animat experiments, and/or theoretical work, simulations and modeling. Contributions should be aimed at an interdisciplinary audience, but not at the expense of technical excellence. This is an abstract-based meeting, with no published conference proceedings. As such, work that is intended for, or has been submitted to, other conferences or journals is also welcome, provided that the intent of communication to other disciplines is clear. Submissions should consist of a summary (max 2000 characters; text only), and an extended abstract of between one and four pages (including figures and references). LaTeX and RTF templates, and sample submissions, are available here: http://rldm.org/submit/ Note: Only the summary will be made available in the (electronic) abstract booklets. The extended abstract will be used for reviewing, and will be available online only pending on authors? separate explicit permission. Online availability will have no bearing on the review process and authors are encouraged to include new, unpublished, findings which they do not want to make publicly available. To submit your abstract please go to https://cmt3.research.microsoft.com/RLDM2019 Submissions will be reviewed for relevance to the topic and for quality. Exceptional abstracts will be selected for oral presentations and for poster spotlight presentations. IMPORTANT DATES: Submissions open: now Submissions close: 3 March 2019, 11:59pm PST Notification of acceptance: 8 April 2019 Early registration: 15 May 2019 Meeting: 7-10 July 2019 Montr?al, Qu?bec RLDM2019 Invited Speakers: http://rldm.org/invited-speakers/ To ensure that you receive future announcements about RLDM2019 please join our mailing list at http://tinyurl.com/RLDMlist (you must log in to google to see the ?join list? button, and choose ?all email? from the options at the bottom). From morrison at fz-juelich.de Thu Jan 31 03:53:53 2019 From: morrison at fz-juelich.de (Abigail Morrison) Date: Thu, 31 Jan 2019 09:53:53 +0100 Subject: Connectionists: Open positions at SimLab Neuroscience, Juelich, Germany Message-ID: <37db088e-e950-58ef-2213-2792c4e6ad22@fz-juelich.de> Dear colleagues, we are aiming to recruit scientific software developers and research scientists at the Simulation Lab Neuroscience at the Juelich Research Centre, Germany. Our focus is on exploiting high performance computing to solve fundamental problems in neuroscience. If you have an interest in leading and participating in projects to develop innovative neuroinformatics applications on Europe's finest supercomputers, we would like to hear from you. Specifically, we are looking for candidates to fill the following roles: Scientific software developer for HPC workflow middleware design and implementation at supercomputing scales http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2019-023-EN-JSC.html Research scientist specialising in brain modelling on HPC (from building new DSLs and their parsers to Bayesian inversion at supercomputing scales) http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2019-024-EN-JSC.html Research scientist for an interdisciplinary neuromorphic project combining computer science, neuroscience, computational science and mathematics http://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2019-025-EN-JSC.html For a full description and details of how to apply, please see the online job announcements. All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience J?lich Research Center & Institute of Cognitive Neuroscience Ruhr-University Bochum http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.ikn.psy.ruhr-uni-bochum.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ From Alessandro.Dausilio at iit.it Thu Jan 31 04:08:03 2019 From: Alessandro.Dausilio at iit.it (Alessandro D'Ausilio) Date: Thu, 31 Jan 2019 09:08:03 +0000 Subject: Connectionists: post-doc in multi-agent motion capture analyses - Italian Institute of Technology & University of Ferrara Message-ID: <851B7D70-9A08-4224-88C1-5251D593A4A5@iit.it> Dear colleagues, we?re recruiting a postdoctoral research fellow to be based at the Center for Translational Neurophysiology of the Italian Institute of Technology and the University of Ferrara. https://www.iit.it/centers/ctnsc-unife The successful candidate will have experience in motion capture and an interest in relatively more advanced methods of analyses (e.g. granger causality, information transfer, recurrence quantification analysis, etc.). The goal of the project is to extract indexes of sensorimotor communication while multi-agent interactions unfolds, both in healthy and psychiatric populations. For past related work from our group, please refer to the following papers: Pezzulo et al., Phys Life Rev, 2018; Volpe et al., Phil Trans Roy Soc B, 2016; D?Ausilio et al., Trends Cogn Sci, 2015; Badino et al., Neuropsychologia, 2014; D?Ausilio et al., PLoS ONE, 2012. The postdoctoral research fellow will work independently and collaboratively within the EU project EnTimeMent: https://entimement.dibris.unige.it The position is for 1 year, renewable for up to 4 years. The successful candidate will hold a PhD/DPhil in a relevant field (Applied Math; Neuroscience; Electrical Engineering; Bio-engineering/Biomedical Engineering; Applied Physics) and demonstrated analytical and experimental skills. For more info, please contact alessandro.dausilio at iit.it Thanks very much, Alessandro D?Ausilio Associate Professor Universit? di Ferrara Dip. Scienze Biomediche e Chirurgico Specialistiche Sez. Fisiologia Umana Affiliated Researcher IIT - Istituto Italiano di Tecnologia CTNSC - Center for Translational Neurophysiology -------------- next part -------------- An HTML attachment was scrubbed... URL: From hava.siegelmann at gmail.com Thu Jan 31 05:57:51 2019 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Thu, 31 Jan 2019 05:57:51 -0500 Subject: Connectionists: New DARPA Program Defending from Adversarial AI Message-ID: My connectionists friends and colleagues, I'm going to announce soon a call for proposals for the DARPA's GARD program. An early information about it is in: https://www.fbo.gov/index?s=opportunity&mode=form&id=ef88d2693ffeb577b70ebf4b85d9094b&tab=core&_cview=0 (Yes, I know, DARPA put it online while I was abroad and butchered my name, but it's still me) The proposer day will take place on February 6, a few days later my talk will be put online for the benefit of these who cannot make it. I hope to see many of you assisting us in this important research direction, just like you did with the Lifelong Learning Machines (L2M) program. And - again, I want to stress that I work for the benefit of our field and of all of us. So if there are other topics you find to be important in advancing AI/ML please feel free to contact me - I'm always available to meet with you. Best - Hava -------------- next part -------------- An HTML attachment was scrubbed... URL: From hava.siegelmann at gmail.com Thu Jan 31 06:04:28 2019 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Thu, 31 Jan 2019 06:04:28 -0500 Subject: Connectionists: Job opportunity for AI in medicine Message-ID: Position description The Department of Physiology at McGill University is seeking applicants for a tenure-track faculty position at the Assistant/Associate Professor rank. The Department of Physiology is seeking applicants who apply artificial intelligence/machine learning to physiological systems. The projected start date for this position is August 1, 2019. The Department of Physiology (www.mcgill.ca/physiology/) is world-renowned for its interdisciplinary research program, which combines a vibrant community in the mathematical and computational sciences with experimentalists working in a broad range of areas of physiology. The department hosts the state-of-the-art, Advanced BioImaging Facility (ABIF) with expert research staff as well as the long- standing Centre for Applied Mathematics in Bioscience and Medicine (CAMBAM). The department of Physiology is proud to host a respectful, multi-disciplinary and inclusive work setting in its multiple areas of activity, which includes the training of a diverse group of students. Canada has identified artificial intelligence as a priority area for investment and Montreal is flourishing as an AI hub ( www.montrealinternational.com/en/foreign-investments/sectors/artificial-intelligence/ ). McGill has several ongoing AI initiatives, is home to the newly created Quantitative Life Sciences (QLS) graduate program and has hired researchers in AI/machine learning across several faculties. The current AI ecosystem in the Montreal area, as well as a diverse faculty of experimentalists and theoreticians in broad areas of physiological dynamics (cardiac physiology, neurosciences, and imaging) make the Department of Physiology an ideal place to launch a research program in AI/machine learning as applied to physiological systems. McGill University was founded in 1821 and is consistently ranked among the top 20 public universities in the world and among the top three in Canada. McGill is located in Montreal, Quebec (www.montrealinternational.com/en/), a multiethnic city with a sparkling cultural life. Montreal has been selected numerous times as the best city for students in North America. Montreal is safe, housing costs are among the lowest for cities of comparable size, and overall quality of life is outstanding. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hava.siegelmann at gmail.com Thu Jan 31 06:03:42 2019 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Thu, 31 Jan 2019 06:03:42 -0500 Subject: Connectionists: Fwd: job advertisement In-Reply-To: References: Message-ID: I'm posting this job opportunity for McGill university: -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: job.pdf Type: application/pdf Size: 591664 bytes Desc: not available URL: From caspar.schwiedrzik at googlemail.com Thu Jan 31 07:45:37 2019 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Thu, 31 Jan 2019 13:45:37 +0100 Subject: Connectionists: Postdoc in visual perceptual learning at German Primate Center, Goettingen, available Message-ID: The Deutsches Primatenzentrum GmbH ? Leibniz-Institut f?r Primatenforschung in G?ttingen is a primate research and competence center that does basic research. It concentrates on three main are- as named Organismic Primate Biology, Infections Research and Neurosciences. The DPZ maintains four field stations to do research on and with primates. Furthermore it is one of 95 research and infra- structure establishments of the Leibniz Association Part-time employment is possible. The Perception and Plasticity Group is looking for an excellent *Postdoctoral research associate* The Perception and Plasticity Group of Caspar Schwiedrzik at the German Primate Center (DPZ) in G?ttingen, Germany, is looking for an outstanding postdoc interested in studying the neural basis of perceptual learning in vision. The project investigates neural mechanisms of learning and perception at the level of circuits and single cells, utilizing functional magnetic resonance imaging (fMRI) in combination with electrophysiology and behavioral testing in humans and non-human primates. It is funded by an ERC Starting Grant (Acronym VarPL; ?Specificity or generalization? Neural mechanisms for perceptual learning with variability?). The postdoc?s project will focus on investigating the neural basis of perceptual learning in macaque monkeys combining fMRI, multi-electrode electrophysiological recordings and electrical microstimulation. In addition, the postdoc will have the opportunity to cooperate with other lab members on parallel, comparative research exploring the same questions in humans. We seek to understand the cortical basis and computational principles of perception and experience- dependent plasticity in the macaque and human brain. To this end, we use a multimodal approach including fMRI-guided electrophysiological recordings in non-human primates and fMRI and ECoG in humans. The postdoc will play a key role in our research efforts in this area. The lab is located at the DPZ (*http://www.dpz.eu *) and the ENI-G (*http://www.eni-g.de *), which are interdisciplinary research centers with international faculty and students pursuing cutting-edge research in neuroscience. The postdoc will have access to a new imaging center with a dedicated 3T research scanner, state-of-the- art electrophysiology, and behavioral setups. For an overview of our work and representative publications, please see our website *http://www.eni-g.de/groups/neural-circuits-and-cognition. * The position will be available starting in February 2019 with an initial appointment for 2 years. Extensions beyond 2 years are possible. Candidates should have a PhD degree (or equivalent) in a relevant field (e.g., neuroscience, psychology, biology), and prior experience, evidenced by a publication or preprint, in electrophysiology in non-human primates, strong quantitative, programming, and experimental skills, and share a passion for understanding the neural basis of visual perception and its plasticity. Prior experience with microstimulation is a plus. A good command of English is a requirement, but fluency in German is not essential. We especially encourage women to apply. Interested candidates should send in their curriculum vitae, a description of their scientific interest, a representative publication, a copy of their PhD degree, and the names and contact information of up to three references who are able to comment on your academic background and who have agreed to be contacted. The appointment at the DPZ follows the applied regulations of civil service. The classification follows the TV-L. Disabled applicants with equal qualification will be given preferential consideration. We kindly ask you to indicate in your application if you are disabled. Please send in your written application including all certificates until the 20th of February, 2019 under key word ?Postdoc Perception and Plasticity? to Deutsches Primatenzentrum GmbH ? Leibniz Institut f?r Primatenforschung ? Personnel Office ? Kellnerweg 4 ? 37077 G?ttingen or via mail to *bewer**bung at dpz.eu. * For further information please contact Dr. Schwiedrzik, *cschwiedrzik at dpz.eu, *phone: +49 (0)551-39-61371 or see *http://www.dpz.eu. * Further information about the Leibniz Society is available at http://www.leibniz-gemeinschaft.de. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Thu Jan 31 09:37:15 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Thu, 31 Jan 2019 09:37:15 -0500 Subject: Connectionists: NEURAL NETWORKS, Feb. 2019 Message-ID: <62d13969-a230-229c-38e9-5fbaa822f088@cse.ohio-state.edu> Neural Networks - Volume 110, February 2019 http://www.journals.elsevier.com/neural-networks Accelerating deep learning with memcomputing Haik Manukian, Fabio L. Traversa, Massimiliano Di Ventra Saliency model based on a neural population for integrating figure direction and organizing Border Ownership Nobuhiko Wagatsuma Luminance gradients and non-gradients as a cue for distinguishing reflectance and illumination in achromatic images: A computational approach Alejandro Lerer, Hans Super, Matthias S. Keil Heterogeneity of synaptic input connectivity regulates spike-based neuronal avalanches Shengdun Wu, Yangsong Zhang, Yan Cui, Heng Li, ... Daqing Guo Estimating coupling strength between multivariate neural series with multivariate permutation conditional mutual information Dong Wen, Peilei Jia, Sheng-Hsiou Hsu, Yanhong Zhou, ... Lei Wang A hypothetical neural network model for generation of human precision grip Yuki Moritani, Naomichi Ogihara Kafnets: Kernel-based non-parametric activation functions for neural networks Simone Scardapane, Steven Van Vaerenbergh, Simone Totaro, Aurelio Uncini Concept learning through deep reinforcement learning with memory-augmented neural networks Jing Shi, Jiaming Xu, Yiqun Yao, Bo Xu Regularization of deep neural networks with spectral dropout Salman H. Khan, Munawar Hayat, Fatih Porikli Emergent neural turing machine and its visual navigation Zejia Zheng, Xiang Wu, Juyang Weng A density-based competitive data stream clustering network with self-adaptive distance metric Baile Xu, Furao Shen, Jinxi Zhao Ensemble Neural Networks (ENN): A gradient-free stochastic method Yuntian Chen, Haibin Chang, Jin Meng, Dongxiao Zhang A compact network learning model for distribution regression Connie Khor Li Kou, Hwee Kuan Lee, Teck Khim Ng Research on a learning rate with energy index in deep learning Huizhen Zhao, Fuxian Liu, Han Zhang, Zhibing Liang Particle swarm optimization for network-based data classification Murillo G. Carneiro, Ran Cheng, Liang Zhao, Yaochu Jin Modulations of dendritic Ca2+ spike with weak electric fields in layer 5 pyramidal cells Guosheng Yi, Xile Wei, Jiang Wang, Bin Deng, Yanqiu Che Event-triggered impulsive control on quasi-synchronization of memristive neural networks with time-varying delays Yufeng Zhou, Zhigang Zeng Synchronization-induced spike termination in networks of bistable neurons Muhammet Uzuntarla, Joaquin J. Torres, Ali Calim, Ernest Barreto Synchronization in uncertain fractional-order memristive complex-valued neural networks with multiple time delays Weiwei Zhang, Hai Zhang, Jinde Cao, Fuad E. Alsaadi, Dingyuan Chen A comparison of deep networks with ReLU activation function and linear spline-type methods Konstantin Eckle, Johannes Schmidt-Hieber ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition Zhisheng Zhong, Fangyin Wei, Zhouchen Lin, Chao Zhang From r.pascanu at gmail.com Thu Jan 31 18:37:38 2019 From: r.pascanu at gmail.com (Razvan Pascanu) Date: Thu, 31 Jan 2019 23:37:38 +0000 Subject: Connectionists: Eastern European Machine Learning summer school (EEML), 1-6 July 2019, Bucharest Romania -- APPLICATIONS NOW OPEN Message-ID: Call for Participation (apologies for crossposting) Eastern European Machine Learning summer school July 1-6, 2019, Bucharest, Romania Web: https://www.eeml.eu Email: contact at eeml.eu Details about the application process are available online at https://www.eeml.eu/application. *Deadline for applications: March 29, 2019, 23:59 Eastern European Time* Notification of acceptance: first round April 19, 2019; second round April 26, 2019 Motivation and description EEML is a machine learning summer school that aims to promote topics around machine learning and artificial intelligence and to encourage research in these fields. The summer school will be held in Eastern Europe -- this year in Bucharest, Romania. By bringing together high quality lecturers and participants from all over the world, we strive to enable communication and networking among the Eastern Europe research communities and students as well as with researchers and groups from around the world. The school is open to participants from all over the world. The selection process has equal opportunities and diversity at heart, and will assess interest and knowledge of machine learning. The theme of the 2019 edition will be Deep Learning and Reinforcement Learning. The programme consists of lectures and hands-on practical sessions on core topics such as Computer Vision, Natural Language Processing, Reinforcement Learning, and Generative Models. Additional advanced topics include Medical Imaging and Bayesian Learning. List of confirmed lecturers so far: Anca Dragan, UC Berkeley Andrew Zisserman, University of Oxford & DeepMind Antoine Bordes, FAIR Dmitry Petrovich Vetrov, Higher School of Economics, Moscow & Samsung Doina Precup, McGill University & DeepMind Lucian Itu, Transilvania University of Brasov & Siemens Nal Kalchbrenner, Google AI Rahul Sukthankar, Google AI Razvan Pascanu, DeepMind Tinne Tuytelaars, KU Leuven Volodymyr Mnih, DeepMind Zeynep Akata, University of Amsterdam & Max Planck Institute for Informatics Labs are led by: David Szepesvari, DeepMind Diana Borsa, DeepMind & University College London Mihaela Rosca, DeepMind Viorica Patraucean, DeepMind Organisers Doina Precup, McGill University & DeepMind Razvan Pascanu, DeepMind Viorica Patraucean, DeepMind Elena Burceanu, Bitdefender Gabriel Marchidan, IasiAI & Feel IT Services Marius Leordeanu, Politehnica University of Bucharest & IMAR Traian Rebedea, Politehnica University of Bucharest Partners Politehnica University of Bucharest, Faculty of Automatic Control and Computer Science Romanian Association for Artificial Intelligence Poster session Participants will have the opportunity to present their research work and interests during poster sessions. The work described does not have to be novel. For example, participants can present their experience of reproducing published work. Social events The programme includes several opportunities for socialising and networking, such as welcome reception, gala dinner, half-day relaxing activities. Scholarships A limited number of scholarships will be offered to participants based on financial considerations. More info https://www.eeml.eu contact at eeml.eu Follow us on Twitter https://twitter.com/EEMLcommunity -------------- next part -------------- An HTML attachment was scrubbed... URL: From goguialonso at gmail.com Thu Jan 31 17:09:03 2019 From: goguialonso at gmail.com (Rodrigo Alonso) Date: Thu, 31 Jan 2019 17:09:03 -0500 Subject: Connectionists: school and conference on nonlinear dynamics at ICTP-SAIFR (Sao Paulo, Brazil) Message-ID: ICTP-SAIFR Preparatory School for StatPhys 2019 Start time: July 1, 2019 Ends on: July 5, 2019 Location: S?o Paulo, Brazil Venue: IFT-UNESP *Description:* This school will introduce graduate students and young researchers to a set of tools and concepts that underlie many of the works being performed in modern Statistical Physics. The school will consist of a set of courses and discussion sessions and serve as a preparation for Stat. Phys. 2019. There is no registration fee and limited funds are available for travel and local expenses. *Courses: * I. *Introduction to nonlinear dynamics* ? *Gabriel B. Mindlin* (University of Buenos Aires, Argentina) II. *Multi-agent models in complex networks* ? *Pablo Balenzuela* (University of Buenos Aires, Argentina) III. *Criticality, with applications to neuroscience* ? *Mauro Copelli* (UFPE, Brazil) *Special Lectures * *To be announced *? *William Bialek* (Princeton, USA) *Statistical physics: state of the art (I and II)* ? *Maxi San Miguel* (IFISC, Spain) *Organizers:* - Pablo Balenzuela (University of Buenos Aires, Argentina) - Mauro Copelli (UFPE, Brazil) - Gabriel Mindlin (University of Buenos Aires, Argentina) *Application deadline : May 5, 2019* More information: www.ictp-saifr.org/StatPhys2019 ==================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From iturria.medina at gmail.com Thu Jan 31 11:04:06 2019 From: iturria.medina at gmail.com (Yasser Iturria Medina) Date: Thu, 31 Jan 2019 11:04:06 -0500 Subject: Connectionists: Postdoctoral Fellow in Computational Brain Analysis Message-ID: *Postdoctoral Fellow in Multifactorial Brain Analysis of Amyotrophic Lateral Sclerosis (ALS)* We are looking for a highly motivated postdoctoral student, for joining the *Neuroinformatics for Personalized Medicine* lab (NeuroPM) at the Montreal Neurological Institute (McGill University, Montreal, Canada) and the Kalra lab for Neuroimaging and ALS Research (University of Alberta, Edmonton, Canada). The postdoc will be under the supervision of Professors Yasser Iturria-Medina and Sanjay Kalra, and will be expected to collaborate with multiple associated groups. The project, for one year and potentially extendable for another year, includes the analysis of direct multifactorial brain interactions and intra-brain network spreading of aberrant effects in Amyotrophic Lateral Sclerosis. The NeuroPM lab (*http://www.neuropm-lab.com/ *) is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative (*https://www.mcgill.ca/hbhl/ *), the Ludmer Center (*http://ludmercentre.ca/ *), and the McConnell Brain Imaging Center ( https://www.mcgill.ca/bic/), involving computationally intensive and interdisciplinary research on the brain. The MNI is an internationally renowned institution, characterized by the integration of research and patient care. The Kalra Lab (http://www.ualberta.ca/ALS/research/) has the mission of improving our understanding of ALS biology through brain imaging and translational research. It is the central coordinating site for the Canadian ALS Neuroimaging Consortium (CALSNIC), a multicenter research platform for the collection of harmonized imaging and behavioural data. Interested candidates should have a solid background in brain imaging and Matlab. Experience in neurodegeneration and brain computational modeling will be an asset. Interested persons should send their CV, a cover letter stating research interests, and two reference letters. The competition will remain open until the position is filled. *Contact*: Yasser Iturria Medina, Emails: yasser.iturriamedina at mcgill.ca Sanjay Kalra, Email: kalra at ualberta.ca -- Yasser Iturria Medina, PhD. Montreal Neurological Institute, McGill University Montreal, Canada H3A 2B4, Phone # 514-398-1524 Lab: http://www.neuropm-lab.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: