From m.lengyel at eng.cam.ac.uk Tue Sep 1 02:09:29 2020 From: m.lengyel at eng.cam.ac.uk (=?utf-8?B?TcOhdMOpIExlbmd5ZWw=?=) Date: Tue, 1 Sep 2020 08:09:29 +0200 Subject: Connectionists: Professorship in Machine Learning and Data Science Message-ID: <0EBBC065-DB44-4FBF-AB34-5B43EEEB0A1B@eng.cam.ac.uk> Associate or Full Professor position in Machine Learning and Data Science Department of Network and Data Science, Central European University https://www.ceu.edu/job/associate-or-full-professor-position-machine-learning-and-data-science Application deadline: Review of applications will begin September 30, 2020 and will continue until the position is filled Starting date: September 1, 2021 Location: Vienna, Austria Academic enquiries to: Janos Kertesz, Head of Department of Network and Data Science (kerteszj at ceu.edu) From fabio.bellavia at unifi.it Tue Sep 1 04:25:26 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Tue, 1 Sep 2020 10:25:26 +0200 Subject: Connectionists: CFP - MAES@ICPR2020 workshop - INVITED TALK ANNOUNCED! Message-ID: <320e28e2-5356-b686-46e3-2abedd418516@unifi.it> ???????????????????? MAES2020 workshop at ICPR2020 ?????????? ---===== Apologies for multiple posting =====--- ????????? Please distribute this call to interested parties _______________________________________________________________________ ?? Machine Learning Advances Environmental Science (MAES at ICPR2020) ?????????????????????????? workshop at the ?? 25th International Conference on Pattern Recognition (ICPR2020) ????????????????? Milan, Italy, January 10, 2021 ???????? >>> https://sites.google.com/view/maes-icpr2020/ <<< ????????? S U B M I S S I O N S???? A R E??? O P E N?? ! ! ! ??? * PLEASE NOTE THAT PAPERS NOT ACCEPTED IN THE ICPR2020 GENERAL * ????? SESSION AND FITTING MAES TOPICS COULD BE SUBMITTED HERE !!! ??? ----> https://easychair.org/conferences/?conf=maesicpr2020 <---- ????????????? /// Submission deadline: 10 October 2020 /// _______________________________________________________________________ ?=== Aim & Scope === Environmental data are growing steadily in volume, complexity and diversity to Big Data mainly driven by advanced sensor technology. Machine learning can offer superior techniques for unravelling complexity, knowledge discovery and predictability of Big Data environmental science. The aim of the workshop is to provide a state-of-the-art survey of environmental research topics that can benefit from Machine Learning methods and techniques. To this purpose the workshop welcomes papers on successful environmental applications of machine learning and pattern recognition techniques to? diverse domains of Environmental Research, for instance, recognition of biodiversity in thermal, photo and acoustic images, natural hazards analysis and prediction, environmental remote sensing, estimation of environmental risks, prediction of the concentrations of pollutants in geographical areas, environmental threshold analysis and predictive modelling, estimation of Genetical Modified Organisms (GMO) effects on non-target species. The workshop will be the place to make an analysis of the advances of Machine Learning for the Environmental Science and should indicate the open problems in environmental research that still have not properly benefited from Machine Learning. Extended papers of this workshop will be published as a special issue in the journal of Environmental Modelling and Software, Elsevier. *** Due to the COVID situation, the workShop may be held in a hybrid or online format. All accepted papers will be published. *** ?=== Invited Talk === "Harnessing big environmental data by machine learning", prof. Friedrich Recknagel, School of Biological Sciences, University of Adelaide, Australia (prof. Recknagel's bio: http://www.adelaide.edu.au/directory/friedrich.recknagel) (talk abstract: https://drive.google.com/file/d/12BFBiG4pwN-6TRKCy0OuGHOgue4YbOKJ/view?usp=sharing) ?=== Important Dates === -? 10 October? 2020 - workshop submission deadline -? 10 November 2020 - author notification -? 15 November 2020 - camera-ready submission -?? 1 December 2020 - finalized workshop program ?=== Organizers === ? Francesco Camastra, Universita' di Napoli Parthenope, Italy ?Friedrich Recknagel, University of Adelaide, Australia ??? Antonino Staiano, Universita' di Napoli Parthenope, Italy ?== Publicity chair == ????? Fabio Bellavia, Universita' di Palermo, Italy _______________________________________________________________________ ?Contacts: antonino.staiano at uniparthenope.it ?????????? francesco.camastra at uniparthenope.it ?Workshop: https://sites.google.com/view/maes-icpr2020/ ?ICPR2020: https://www.micc.unifi.it/icpr2020/ From krallinger.martin at gmail.com Tue Sep 1 04:46:09 2020 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Tue, 1 Sep 2020 10:46:09 +0200 Subject: Connectionists: Open position at the Barcelona Supercomputing Center (BSC) - Text Mining Unit Message-ID: Text mining and NLP position at Barcelona Supercomputing Center Text Mining Unit. We just opened a text mining and NLP position at our group. Description and application form: https://www.bsc.es/join-us/job-opportunities/23820lstmre2 We search for a technical researcher in natural language processing, computational linguistics, language engineering, bioinformatics, medical informatics (or equivalent) with a strong background in Machine Learning. Key Duties: -Design, implementation and evaluation of text mining, NLP, deep learning and ML systems and models applied to clinical and biomedical data. -Coordination and organization of shared tasks and evaluation campaigns (like IberLEF, CLEF eHealth,..). -Technical coordination and supervision of Gold Standard annotation projects to generate high quality text corpora. ======================================= Martin Krallinger, Dr. -------------------------------------------------------------------- Head of Biological Text Mining Unit Barcelona Supercomputing Center (BSC-CNS) -------------------------------------------------------------------- https://www.linkedin.com/in/martin-krallinger-85495920/ ======================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Tue Sep 1 05:12:35 2020 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Tue, 1 Sep 2020 11:12:35 +0200 Subject: Connectionists: =?utf-8?q?W3-Professorship_for_=E2=80=9ESocio-tec?= =?utf-8?q?hnical_system_design_and_artificial_intelligence=E2=80=9D_at_Ru?= =?utf-8?q?hr-University_Bochum?= Message-ID: <20200901091235.q3xmjon6peftsk6a@curry.localdomain> ?Ruhr-Universit?t Bochum (RUB) is one of Germany?s leading research universities, which encompasses the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB?s declared aim. W3-Professorship for ?Socio-technical system design and artificial intelligence? (f/m/d) The Department of Mechanical Engineering at Ruhr-Universit?t Bochum invites applications for the position of a Full Professor (W3) for ?Socio-technical system design and artificial intelligence?. The job position is offered for March 1, 2021 (salary scale W3) at the Institute of Work Science (IAW). RUB is looking for an exceptional candidate with innovative research and teaching ideas in the field. IAW is a cross-disciplinary autonomous institute at RUB that works in close cooperation with the mechanical engineering department, information science, neuroinformatics, social science and management studies (https://www.iaw.ruhr-uni-bochum.de/). The announced professorship defines IAW?s profile in information science in continuous and close interaction with the Department of Mechanical Engineering. The focus is on the integration of Artificial Intelligence (AI) in job design and collaborative work settings with distributed intelligence among AI and human agents. Applicants should have a background in information science, business informatics, operations research or human computer interaction and follow a socio-technical system perspective in research and teaching. They should have a distinct view on the potential of AI, know how to integrate AI in job design and reflect on the technological impact in its social dimensions. There is a need for expertise in theoretical and methodological foundation as well as for practical job design. RUB is seeking for a complementary profile in comparison to the other professorships at IAW and the Department of Mechanical Engineering. Teaching obligations include contributions to the executive master ?Organizational Management? as well as to the BA/MA programs in ?Sales Engineering and Product Management? and ?Applied Informatics?. Specific contributions to Process Management, Project Management and Data Analytics are appreciated. Requirements for the full professorship follow ? 36 HG NRW and include pedagogical proficiency, an outstanding Ph.D. dissertation and further outstanding scientific research which can be documented in terms of a positive evaluation as Junior Professor, habilitation or an equivalent publication record. Further requirements are: ? The willingness to cooperate in interdisciplinary research teams and to contribute to interdisciplinary research; ? Research excellence and international visibility documented by the publication record; ? The willingness to cooperate with representatives from business and practice; ? The willingness and documented capability to apply successfully for and manage third-party funded projects; ? An outstanding teaching engagement and teaching proficiency also in the field of executive training. The teaching engagement should include lectures in German and English; ? Work experience in industry is appreciated and advantageous; ? Participation in academic self-administration. Ruhr-Universit?t Bochum is an equal opportunities employer. Please submit your electronic application with the usual documents (cover letter, curriculum vitae, copy of certifications, list of publication including copies of the five most relevant publications, list of lectures and documents of teaching evaluation, list of successfully raised third-party funded research projects and an expos? of the future research strategy) by October, 18 2020 to the Dean of the Department of Mechanical Engineering (dekanat-mb at ruhr-uni-bochum.de). Further information can be obtained at our website www.mb.rub.de and www.iaw.rub.de. From robert.legenstein at igi.tugraz.at Tue Sep 1 05:52:16 2020 From: robert.legenstein at igi.tugraz.at (Robert Legenstein) Date: Tue, 1 Sep 2020 11:52:16 +0200 Subject: Connectionists: Open PhD Positions in Dendritic Processing for Novel Computing Concepts Message-ID: <8717cc90-b1e0-ba34-60a3-d01161b93ca7@igi.tugraz.at> The Lab of Robert Legenstein at TU Graz is offering funded PhD positions in the area Deep Learning and Computational Neuroscience. A background in Deep Learning, Computataional Neuroscience, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. Successful candidates will investigate models of computation and learning in neuronal networks with nonlinear dendritic processing and develop learning algorithms for optical processing hardware. She/he will be embedded in the interdisciplinary consortium of the EU-FET-open project ADOPD (Adaptive Optical Dendrites). See https://www.tugraz.at/institute/igi/people/prof-legenstein/projects/#c204996 for a brief project description. Please send your application including a CV, any prior thesis and/or work, and trascript of records by 15. September 2020 to robert.legenstein at igi.tugraz.at Dr. Robert Legenstein Institute Head Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria https://www.tugraz.at/institute/igi/people/prof-legenstein/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ---------------------------------- -- Dr. Robert Legenstein Associate Professor Institute Head Institute for Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ---------------------------------- From dimitrije.markovic at tu-dresden.de Tue Sep 1 05:24:41 2020 From: dimitrije.markovic at tu-dresden.de (Dimitrije Markovic) Date: Tue, 1 Sep 2020 09:24:41 +0000 Subject: Connectionists: Reminder: Special Entropy Issue "Information Theory in Computational Neuroscience" Message-ID: <1598952281541.86115@tu-dresden.de> Dear Colleagues, We cordially invite you to submit a manuscript for possible publication in a Special Issue on "Information Theory in Computational Neuroscience" to be published in the journal Entropy (ISSN 1099-4300, IF 2.530, http://www.mdpi.com/journal/entropy). The aim of the Special Issue is to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. You can see full details of the scope and submission details at: https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscience The submission deadline is 30 September 2020. You may send your manuscript at any time before the deadline or a bit later. Submitted papers should not be under consideration for publication elsewhere. Entropy is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Please kindly note that an Article Processing Charge (APC) of CHF 1600 currently applies to all accepted papers. Please do not hesitate to come back to us if there is anything further that we can help with. We look forward to hearing from you. Kind regards, Dimitrije Markovic and Claudius Gros ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universit?t Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ ============================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernard.girau at loria.fr Tue Sep 1 12:23:26 2020 From: bernard.girau at loria.fr (Bernard Girau) Date: Tue, 1 Sep 2020 18:23:26 +0200 (CEST) Subject: Connectionists: postdoc position, neuromorphic and self-organizing architectures Message-ID: <745260723.329006.1598977406190.JavaMail.zimbra@loria.fr> Two postdoc positions are available at the Loria laboratory, University of Lorraine, in Nancy, France. Supervision: Bernard Girau Duration: 12 months Contact: Bernard.Girau at loria.fr Application deadline: September 30. 2020 Postdoc 1 summary This postdoc proposal first aims to study how spiking versions of dynamic neural fields can be implemented on neuromorphic circuits that have emerged recently, such as the Intel Loihi architecture, in terms of computation and communication. The main illustrative application will be to track targets in a visual scene captured by a DVS spiking camera. The question of the implementation of neural architectures with several neural fields connected to each other will also be addressed, with applications to visual attention and visual memory. Finally, on the basis of a spiking version of self-organizing maps (SOM) that uses local STDP learning rules, an additional objective will be the evaluation of the capacity of this model to be mapped onto the Loihi chip. More details can be found on [ https://www.loria.fr/en/jobs-training/postdoc-neuromorphic-architectures/ | https://www.loria.fr/en/jobs-training/postdoc-neuromorphic-architectures/ ] Postdoc 2 summary We are interested in the design of adaptive and dynamic computing architectures, taking advantage of brain-inspired principles of structural plasticity. The objective of the work proposed here is to make the link between a reconfigurable multi-core architecture capable of exploiting the principles of hardware self-organization on one hand, and different models of self-organizing maps that integrate mechanisms of structural plasticity on the other hand. The two main tasks are: - to study the implementation of self-organizing map models featuring structural plasticity on the multi-core reconfigurable board, by analyzing their behavior when dealing with real-world data and their properties with respect to the board's communication constraints - to interpret the vector quantization learned by the self-organizing maps in terms of communication needs among the computing units of the self-organizing architecture and in terms of dynamic allocation of computing resources within the board More details can be found on [ https://www.loria.fr/en/jobs-training/postdoc-self-organizing-hardware-architectures/ | https://www.loria.fr/en/jobs-training/postdoc-self-organizing-hardware-architectures/ ] -------------- next part -------------- An HTML attachment was scrubbed... URL: From fellous at arizona.edu Tue Sep 1 15:23:38 2020 From: fellous at arizona.edu (Fellous, Jean-Marc - (fellous)) Date: Tue, 1 Sep 2020 19:23:38 +0000 Subject: Connectionists: Biological Cybernetics- Articles by grad students and postdocs only Message-ID: Dear members of the community, Biological Cybernetics is launching 3 new types of articles. These manuscripts can only be co-authored by Junior Scientists (defined as graduate students or postdoctoral fellows) and will be reviewed by one regular reviewer and one or more Junior Scientists. The scope of the journal can be found here . - Mini review or tutorial: 3000 words, 2-3 Figures. A didactic but comprehensive overview of a topic or technique of interest to the Biological Cybernetics community. Authors are encouraged to also give their own perspective on the matter where appropriate in a separate clearly marked subsection. Authors are encouraged to contact the co-editor in chief to discuss appropriateness/fit of the manuscript. - Journal Club: 1200 words, 1 Figure. A short and focused account of a recent (less than one year old) publication in Biological Cybernetics or elsewhere. The authors should not belong to the same institution as any of the co-authors on the chosen publication. The manuscript should go beyond a simple summary of the original publication and point to aspects of the work of specific relevance to the Biological Cybernetics readership. - Short Communication: 2000 words, 2-3 Figures. Authors are encouraged to submit a short account of results that would not be sufficient for a full publication, but which are deemed worthy of communication to the scientific community. These could be the outcome of a 'side' project, a 'follow up' study, an interesting 'condition'. Though restricted in scope, the results are expected to be of the same quality (e.g. statistical power, proper controls for experimental submissions, mathematical rigor and clarity of exposition for theoretical submissions) as those found in a regular research paper and will be evaluated as such. Pilot experiments or preliminary data are not suitable. At the time of submission, a short note (email OK) from the advisor to the co-editor in chief is required indicating that s/he has been informed of the content/scope of the manuscript. For questions, please contact Jean-Marc Fellous (fellous at arizona.edu), Co-Editor in Chief. Jean-Marc Fellous Professor Departments of Psychology and Biomedical Engineering University of Arizona On behalf of Benjamin Lindner (Editor in Chief), Peter Thomas and Paul Tiesinga (Co-Editors in Chief) Biological Cybernetics: https://www.springer.com/journal/422 Biological Cybernetics Aims and Scope: https://www.springer.com/journal/422/aims-and-scope -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Sep 2 04:59:50 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 2 Sep 2020 10:59:50 +0200 Subject: Connectionists: COMPLEX NETWORKS 2020 DEADLINE EXTENDED SEPTEMBER 13, 2020 Message-ID: **COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions in many countries, COMPLEX NETWORKS 2020 is planned fully online. Registration fees will be adjusted accordingly**. (**Apologies for any cross posting)* *Ninth** International Conference on Complex Networks & Their Applications* *Madrid, Spain December 1- 3, 2020* http://www.complexnetworks.org You are cordially invited to submit your contribution until *September 13, 2020 **FIRM DEADLINE*. *Speakers * ? Leman Akogu Carnegie Mellon University, USA ? Stefano Boccaletti ISC CNR, Italy ? Fosca Giannotti KDD Lab Pisa, Italy ? J?nos Kert?sz Central European University Hungary ? Vito Latora Queen Mary, University of London UK ? Alex ?Sandy? Pentland MIT Media Lab, USA ? Nata?a Pr?ulj Barcelona Supercomputing Center Spain *Tutorials** (**November 30, 2020**)* ? David Garcia Complexity Science Hub Vienna Austria ? Mikko Kivel? Aalto University Finland *Conference publications* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome*.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* *Post-conference publications* Extended versions of unpublished contributions (papers & abstracts) will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *Topics * include, but are not limited to o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *General Chairs* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* *Join us at *: COMPLEX NETWORKS 2020 Madrid Spain *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From eduardo.lopez at bitbrain.es Wed Sep 2 07:13:14 2020 From: eduardo.lopez at bitbrain.es (=?UTF-8?Q?Eduardo_L=C3=B3pez=2DLarraz?=) Date: Wed, 2 Sep 2020 13:13:14 +0200 Subject: Connectionists: Tobii Pro & ePrime NOW INCLUDED! | Call for Research Projects | Bitbrain Message-ID: Dear all, >From Bitbrain we pleased to announce that *Tobii Pro* and *Psychology Software Tools* are joining our *Call for Research Projects* to provide additional research solutions. In addition to the hardware and software provided by Bitbrain, Psychology Software Tools and Tobii Pro have kindly offered to complete our offering with their solutions. Their contribution will be as follows: - *Psychology Software Tools*: E-Prime Licenses for up to two projects that need comprehensive stimulus presentation. - *Tobii Pro:* Up to two projects may choose between the Tobii Pro Fusion 250 Hz remote eye tracking system or the Tobii Pro Glasses 3 50 Hz. In addition, a one year access to the Tobii Pro Lab software will be granted, to ensure successful analysis of the eye tracking data. Accordingly, the awards comprise up to *150K? **in equipment and software licenses of Bitbrain, plus Psychology Software Tools and Tobii Pro selected solutions* (more info below), for research projects in the areas of *human behavior research *and *brain-computer interfaces*. The deadline for submissions is *September 21st, 2020.* See full information here [image: sponsor-brands-call2] Call for Research Projects *Aim of the Call* This year has been unexpectedly complicated for all of us. We have had an ongoing threat to public health with a strong impact on economic activity in every country and organization. Scientific endeavors have been delayed in most research fields, and many research conferences and symposiums have been postponed or canceled. The aim of this call is to catalyze and mobilize research in human behavior and brain-computer interfaces during this difficult time, by supporting outstanding research projects for 2 years of duration starting in 2021. This is our way of giving back to the scientific community and helping research projects start-up in the wake of COVID 19. Bitbrain's mission is to boost real-world research and real-life applications that enhance people's lives. For this reason, we particularly welcome project proposals from academia or research institutions that are exploring neuroscience research in real-world settings. *The Awards* *This initiative awards projects with up 150K? in equipment and software licenses of Bitbrain, plus Psychology Software Tools and Tobii Pro selected solutions (see below or in our website).* Applicants should list all the equipment necessary to successfully carry out their research project proposal, selecting from these options, and irrespective of the cost: - *Bitbrain equipment:* Systems specifically designed to facilitate research in real-world settings and include high-tech EEG brain sensing devices and 35+ complementary monitoring technologies (GSR, BVP, ExG, etc), as well as Bitbrain's software solutions for synchronized multimodal data acquisition and analysis. The equipment will belong to the awarded institutions once the project is completed, but they are free to use it for other types of research. - *Psychology Software Tools*: E-Prime Licenses for projects that need stimulus presentation. - *Tobii Pro:* Up to two of the winning projects may choose between the Tobii Pro Fusion 250 Hz remote eye tracking system or the Tobii Pro Glasses 3 50 Hz. In addition, a one year access to the Tobii Pro Lab software will be granted, to ensure successful analysis of the eye tracking related parts of the project. *Call topics* 1. *Topic 1: Human Behavior Research:* We are looking for projects that expand the understanding of human behavior using multimodal approaches, preferably in ecological and natural conditions. The research includes, but is not limited to, cognitive sciences, clinical research, education, developmental psychology, human performance, UX or human factors, neuroeconomics, hyperscanning, neuroaesthetics, etc. 2. *Topic 2: Brain-Computer Interfaces (BCI):* We are looking for projects that expand the introduction or usage of brain-computer interfaces in ecological and natural conditions. Research project proposals should focus on the application of brain-computer interfaces in real-world scenarios, in areas such as immersive environments, neurorehabilitation, neuroadaptive technologies, hyperscanning, neuroprosthetics, etc *Jury* - Alan Kingstone, Ph.D., Professor, Department of Psychology, University of British Columbia. Canada. - Ander Ramos, Ph.D., Head of the Neurorehabilitation Lab. University of T?bingen. Germany. - Dima Amso, Ph.D., Professor, Department of Psychology at Columbia University. USA. - Gernot M?ller-Putz, Ph.D., Professor and Head of the Institute of Neural Engineering. Graz University of Technology. Austria. - Marco Congedo, Ph.D., Charge de Research (CNRS), France. - Tad Brunye, Ph.D., Visiting Associate Professor, Department of Psychology, Tufts University; Senior Research Psychologist, Army Natick Soldier Research, Development, and Engineering Center, USA. - Tiago Falk, Ph.D., Associate Professor and Multimedia/Multimodal Signal Analysis and Enhancement (MuSAE) Laboratory. University of Toronto. Canada. *Important Dates* - Submission of applications: 21st September - Communication of the awards: 6th October - Contracts: 12th October - Equipment delivering: 20th December - Kick-off Meetings: 11th January See full information here The Bitbrain Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From marieke.scholvinck at esi-frankfurt.de Wed Sep 2 07:24:28 2020 From: marieke.scholvinck at esi-frankfurt.de (Scholvinck, Marieke) Date: Wed, 2 Sep 2020 11:24:28 +0000 Subject: Connectionists: postdoc position in mouse electrophysiology at Ernst Strungmann Institute (Frankfurt, Germany) Message-ID: <02b44c675f7244ae86f8b19fee8aca5a@esi-frankfurt.de> We are hiring! We are looking for an enthusiastic postdoctoral researcher to lead the mouse work of the Zero-Noise Lab at the Ernst Str?ngmann Institute for Neuroscience in Frankfurt, Germany. THE LAB The Zero-Noise Lab investigates how neuronal population activity unfolds in real time during naturalistic behaviour - and how this simultaneously encodes multiple ongoing cognitive processes like learning, attention, and perceptual decision making. What's more, we compare this across species: We conduct chronic electrophysiological recordings in the visual cortex of macaques and mice while they perform the same naturalistic foraging task in a virtual environment. We are no fans of cross-trial averaging - if the brain only gets one shot at making sense of its activity, so should we! ??The lab is jointly headed by Marieke Sch?lvinck and Martha Havenith, and funded by the Max Planck Society. It is a highly collaborative environment - postdocs and PhD students focus on either mouse or monkey, but work together intensely to constantly align experiments across species. ? YOU We are looking for a postdoc to lead the mouse side of the lab, while developing their own ideas and research interests. If you hold (or are about to hold) a Ph.D. in Systems Neuroscience, and are eager to decipher the neuronal basis of naturalistic cognitive processing in an interdisciplinary lab, we would love to hear from you! Useful skills: - Experience with electrophysiological recordings in awake animals - Programming skills (Matlab/Python) - Technical skills to build an electrophysiology set-up - Experience with behavioural training HOW TO APPLY If you are interested, please send an email to Marieke (marieke.scholvinck at esi-frankfurt.de) and Martha (martha.havenith at esi-frankfurt.de) before September 30, 2020. In your email, please explain your background, what you expect from your postdoc, and why you want to join us. The application remains open until the position is filled. We look forward to hearing from you! Martha and Marieke -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Wed Sep 2 18:20:05 2020 From: terry at salk.edu (Terry Sejnowski) Date: Wed, 02 Sep 2020 15:20:05 -0700 Subject: Connectionists: NEURAL COMPUTATION - September 1, 2020 In-Reply-To: Message-ID: Neural Computation - Volume 32, Number 9 - September 1, 2020 available online for download now: http://www.mitpressjournals.org/toc/neco/32/9 http://cognet.mit.edu/content/neural-computation ----- Article A Mean-Field Description of Bursting Dynamics in Spiking Neural Networks With Short-Term Adaptation Richard Gast, Helmut Schmidt, and Thomas R. Kn?sche Letters Parallel Neural Processing With Gamma Frequency Latencies Ruohan Zhangal, Dana H. Ballard Fine-grained 3D-Attention Prototypes for Few-Shot Learning Xin Hu, Jun Liu, Jie Ma, Yudai Pan, and Lingling Zhang Hyperbolic-Valued Hopfield Neural Networks in Synchronous Mode Masaki Kobayashi Tensor Least Angle Regression for Sparse Representations of Multi-dimensional Signals Ishan Wickramasingha, Ahmed Elrewainy, Michael Sobhy, and Sherif Sherif Polynomial-time Algorithms for Multiple-arm Identification With Full-bandit Feedback Yuko Kuroki, Liyuan Xu, Atsushi Miyauchi, Junya Honda, and Masashi Sugiyama ------------ 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 ioannakoroni at csd.auth.gr Wed Sep 2 09:08:42 2020 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 2 Sep 2020 16:08:42 +0300 Subject: Connectionists: Self-assessment of your Computer Vision/Machine Learning/Autonomous Systems knowledge References: <00af01d68123$cb63c480$622b4d80$@csd.auth.gr> Message-ID: <074a01d6812a$2f33ecf0$8d9bc6d0$@csd.auth.gr> Dear Computer Vision and Machine Learning enthusiasts, you can now self-assess your: a) current Computer Vision, Machine Learning, Autonomous Systems knowledge b) your background suitability of for related studies by spending little time (few minutes per topic) to fill the related questionnaires in: https://aiia.csd.auth.gr/cvml-knowledge-self-assessment/ You may want to repeat the exercise, before/after studying suitable e-coursework, e.g., the one in: http://icarus.csd.auth.gr/cvml-for-autonomous-systems/ The questionnaire list is attached and will be expanded soon to cover more topics. Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Self-assessment topics Background knowledge (programming/maths) Computer vision Introduction in computer vision Image acquisition, camera geometry Stereo and Multiview imaging Structure from motion Localization and mapping Object tracking and 3D localization Machine Learning Introduction to Machine Learning Introduction to neural networks, Perceptron, Multilayer perceptron. Backpropagation Deep neural networks. Convolutional NNs Deep learning for object detection Autonomous Systems Introduction to autonomous systems Introduction to multiple drone imaging Drone mission planning and control CVML algorithms and programming CVML programming tools Fast convolution algorithms Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From barak at pearlmutter.net Wed Sep 2 16:15:08 2020 From: barak at pearlmutter.net (Barak A. Pearlmutter) Date: Wed, 2 Sep 2020 21:15:08 +0100 Subject: Connectionists: An Old Machine Learning Fable Updated Message-ID: *An Old Machine Learning Fable Updated* A cautionary tale? is told to novices in machine learning. *In days of yore, long before VLSI, researchers trained a simple neural network to detect images containing enemy tanks. The US Army collected a corpus of labeled images. Proper methods were employed: cross validation, held-out test set, etc. Performance on both the training set and the unseen test set was amazing! It even worked on very difficult images, with just a bit of a tank poking out of foliage. But the military had collected all the with-tank images on one day, and the without-tank images on another. One day was sunny, the other overcast. The network had learned to classify based on the brightness of the sky. Despite all their careful hard work, the system was worthless.* This story has three lessons we hope to impress upon our students. - Machine-learning systems learn what's *really* in the data, not what you *think* is there. - The principle of garbage-in-garbage-out applies to machine learning. - We must sweat the details: examine the innards of our systems, try to understand them, always with a skeptical mindset. Some recent work classifying images based on EEG recordings from human viewers is a modern example of precisely the same issue. EEG recordings were taken in blocks, where in each block a succession of many images of the same class were shown. A map from the EEG traces that followed presentation of an image to that image's class label was learned.? The problem is precisely the same as in the ?tanks? story: just as the weather drifts slowly, making photographs taken on a sunny day differ systematically from ones taken on a cloudy day, so too does EEG drift. Stimuli have long-lasting effects, the subject grows fatigued or changes posture, electrodes make better or worse electrical contact with the scalp, heartbeat changes, the subject grows chilly and shivers or warm and perspires, sources of external electrical interference wax and wane, etc. Such temporal confounds completely account for the published results, and with them controlled away test-set performance plummets to chance? and remains near-chance even with enormously more data.? ________________ ?Perhaps somewhat apocryphal; see https://www.gwern.net/Tanks ?Concetto Spampinato, Simone Palazzo, Isaak Kavasidis, Daniela Giordano, Mubarak Shah, and Nasim Souly, ?Deep Learning Human Mind for Automated Visual Classification?, CVPR 2017, URL https://openaccess.thecvf.com/content_cvpr_2017/papers/Spampinato_Deep_Learning_Human_CVPR_2017_paper.pdf and a growing corpus of work using the same dataset. ?Ren Li, Jared S. Johansen, Hamad Ahmed, Thomas V. Ilyevsky, Ronnie B. Wilbur, Hari M. Bharadwaj, and Jeffrey Mark Siskind, ?The perils and pitfalls of block design for EEG classification experiments?, IEEE Transactions on Pattern Analysis and Machine Intelligence, in press. See also ?Training on the test set? An analysis of Spampinato et al. [31]?, arXiv:1812.07697, Dec 2018. ?Hamad Ahmed, Ronnie B. Wilbur, Hari M. Bharadwaj, and Jeffrey Mark Siskind, ?Object classification from randomized EEG trials?, arXiv:2004.06046, Apr 2020. Interestingly, even changing the design so training and testing data are acquired in separate blocks (Nicolae Cudlencu, Nirvana Popescu, and Marius Leordeanu, ?Reading into the mind?s eye: Boosting automatic visual recognition with EEG signals?, Neurocomputing 386:281?92, Apr 2020, online Dec 2019, DOI: 10.1016/j.neucom.2019.12.076) is shown to exhibit a similar problem due to a related block-order confound. -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Wed Sep 2 10:25:05 2020 From: junfeng989 at gmail.com (Jun Feng) Date: Wed, 2 Sep 2020 22:25:05 +0800 Subject: Connectionists: [Virtual][**14+ Special Issues**][Submission Deadline: Sep. 25] CFP IEEE DependSys 2020: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, Dec. 14-16 Message-ID: [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (IEEE DependSys 2020), 14-16 December 2020 [Virtual][**14+ Special Issues**][Submission Deadline: Sep. 25] http://cse.stfx.ca/~dependsys/2020/index.html ** NEWS: ** The IEEE DependSys 2020 Conference was planned to be held in Fiji, December 14-16, 2020. Given the COVID-19 pandemic and associated travel restrictions, as the safety of people is of the highest priority, the conference will be held virtually on December 14-16, 2020. IEEE DependSys 2020 conference is the 6th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2020 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 14+ SCI & EI indexed prestigious journals (confirmed). 1. Information Fusion (IF: 13.669) SI on Fusion from Big Data to Smart Data https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-fusion-from-big-data-to-smart-data 2. Information Fusion (IF: 13.669) SI on Data Fusion for Trust Evaluation https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-data-fusion-for-trust-evaluation 3. IEEE Transactions on Industrial Informatics (IF: 9.112) SI on Digital Twinning: Integration AI-ML and Big Data Analytics for Virtual Representation http://www.ieee-ies.org/images/files/tii/ss/2020/Digital_Twinning_Integrating_AI-ML_and_Big_Data_Analytics_for_Virtual_Representation_2020-4-30.pdf 4. Future Generation Computer Systems (IF: 6.125) SI on Artificial Intelligence for Cyber Defence and Smart Policing https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/artificial-intelligence-for-cyber-defence-and-smart-policing 5. Digital Communications and Networks (IF: 5.382) SI on Blockchain-enabled Technologies for Cyber-Physical Systems and Big Data Applications http://www.keaipublishing.com/en/journals/digital-communications-and-networks/call-for-papers/blockchainenabled-technologies-for-cyberphysica/ 6. IEEE Transactions on Network Science and Engineering (IF: 5.213) SI on Computing and Networking for Cyber-Physical-Social Systems https://www.comsoc.org/publications/journals/ieee-tnse/cfp/computing-and-networking-cyber-physical-social-systems 7. IEEE/CAA Journal of Automatics Sinica (IF: 5.129) SI on Blockchain for Internet-of-Things and Cyber-Physical Systems: Emerging Trends, Issues and Challenges http://www.ieee-jas.org/news/news_en/9248195c-6d90-4868-9962-263ed9ba12f3_en.htm 8. Neurocomputing (IF: 4.438) SI on Edge Intelligence: Neurocomputing Meets Edge Computing https://www.journals.elsevier.com/neurocomputing/call-for-papers/edge-intelligence-neurocomputing-meets-edge-computing 9. IEEE Access (IF: 3.745) SI on Reliability in Sensor-Cloud Systems and Applications (SCSA) https://ieeeaccess.ieee.org/special-sections/reliability-in-sensor-cloud-systems-and-applications-scsa/ 10. Journal of Cloud Computing (IF: 2.788) SI on Security and Privacy Issues for AI in Edge-Cloud Computing https://journalofcloudcomputing.springeropen.com/securityprivacyaiedgecloud?from=singlemessage 11. Journal of Systems Architecture (IF: 2.552) SI on Ubiquitous Edge Computing for Next Generation IoT and 6G: Architecture, Modelling and Systems https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/ubiquitous-edge-computing-for-next-generation 12. Journal of Systems Architecture (IF: 2.552) SI on High-Performance-Computing-Communications for Cyber-Physical-Social Systems https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/high-performance-computing-communications 13. MDPI Electronics (IF: 2.412) SI on Blockchain-based Technology for Mobile Application https://www.mdpi.com/journal/electronics/special_issues/BTMA 14. Software: Practice and Experience SI on Software and Hardware Co-Design for Sustainable Cyber-Physical Systems https://onlinelibrary.wiley.com/pb-assets/assets/page/journal/1097024x/SI_softandhard.pdf * More special issues will be added later. ================== Important Dates ================== Submission Deadline (Hard): 25 September 2020 Authors Notification Date: 25 October 2020 Final Manuscript Due: 15 November 2020 Conference Date: 14-16 December 2020 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N27703) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Mohammad Zulkernine, Queen's University, Canada - Aniello Castiglione, University of Naples Parthenope, Italy - Alireza Jolfaei, Macquarie University, Australia Program Chairs - Salimur Choudhury, Lakehead University, Canada - Qinghua Lu, CSIRO, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Fiji, Fiji - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From renoust at ids.osaka-u.ac.jp Wed Sep 2 15:26:46 2020 From: renoust at ids.osaka-u.ac.jp (Benjamin Renoust) Date: Wed, 2 Sep 2020 21:26:46 +0200 Subject: Connectionists: [CFP - COMPLEX NETWORKS 2020] DEADLINE EXTENDED: SEPTEMBER 13, 2020 Message-ID: COMPLEX NETWORKS 2020 SUBMISSION DEADLINE EXTENDED SEPTEMBER 13, 2020 *COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions in many countries, COMPLEX NETWORKS 2020 is planned fully online. Registration fees will be adjusted accordingly. (Apologies for any cross posting) Ninth International Conference on Complex Networks & Their Applications Madrid, Spain December 1- 3, 2020 http://www.complexnetworks.org You are cordially invited to submit your contribution until September 13, 2020 FIRM DEADLINE. Speakers - Leman Akogu Carnegie Mellon University, USA - Stefano Boccaletti ISC CNR, Italy - Fosca Giannotti KDD Lab Pisa, Italy - J?nos Kert?sz Central European University Hungary - Vito Latora Queen Mary, University of London UK - Alex ?Sandy? Pentland MIT Media Lab, USA - Nata?a Pr?ulj Barcelona Supercomputing Center Spain Tutorials (November 30, 2020) - David Garcia Complexity Science Hub Vienna Austria - Mikko Kivel? Aalto University Finland Conference publications Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome. - Papers will be included in the conference proceedings edited by Springer - Extended abstracts will be published in the Book of Abstracts (with ISBN) Post-conference publications Extended versions of unpublished contributions (papers & abstracts) will be invited for publication in special issues of international journals: - Applied Network Science edited by Springer - Complex Systems - Computational Social Networks edited by Springer - Network Science edited by Cambridge University Press - PLOS one - Social Network Analysis and Mining edited by Springer Topics include, but are not limited to - Models of Complex Networks - Structural Network Properties and Analysis - Complex Networks and Epidemics - Community Structure in Networks - Community Discovery in Complex Networks - Motif Discovery in Complex Networks - Network Mining - Network embedding methods - Machine learning with graphs - Dynamics and Evolution Patterns of Complex Networks - Link Prediction - Multilayer Networks - Network Controllability - Synchronization in Networks - Visual Representation of Complex Networks - Large-scale Graph Analytics - Social Reputation, Influence, and Trust - Information Spreading in Social Media - Rumour and Viral Marketing in Social Networks - Recommendation Systems and Complex Networks - Financial and Economic Networks - Complex Networks and Mobility - Biological and Technological Networks - Mobile call Networks - Bioinformatics and Earth Sciences Applications - Resilience and Robustness of Complex Networks - Complex Networks for Physical Infrastructures - Complex Networks, Smart Cities and Smart Grids - Political networks - Supply chain networks - Complex networks and information systems - Complex networks and CPS/IoT - Graph signal processing - Cognitive Network Science - Network Medicine - Network Neuroscience - Quantifying success through network analysis - Temporal and spatial networks - Historical Networks General Chairs Rosa Maria Benito Universidad Politecnica de Madrid, Spain Hocine Cherifi University of Burgundy, France Esteban Moro Universidad Carlos III de Madrid, Spain -- Benjamin Renoust Guest Associate Professor Osaka University, Institute for Datability Science Suita Campus, TechnoAlliance Building #C503 2-8, Yamadaoka, Suita, Osaka, 565-0871, Japan tel: +81-6-6105-6073 fax:+81-6-6105-6075 renoust at ids.osaka-u.ac.jp -------------- next part -------------- An HTML attachment was scrubbed... URL: From leah at labvanced.com Wed Sep 2 08:24:01 2020 From: leah at labvanced.com (Lee Leah) Date: Wed, 02 Sep 2020 14:24:01 +0200 Subject: Connectionists: Infant and child-friendly eye tracking system from labvanced.com Message-ID: <158281599048665@mail.yandex.com> An HTML attachment was scrubbed... URL: From thomas at four-corp.com Wed Sep 2 12:23:13 2020 From: thomas at four-corp.com (Thomas Wismer) Date: Wed, 2 Sep 2020 18:23:13 +0200 Subject: Connectionists: Bumblekite Online - a 6 week course on Healthcare data and AI Policy Message-ID: Launching Bumblekite Online - a 6 week course on Healthcare data and AI Policy October 26th - December 6th 2020 Visit our Website: https://bumblekite.four-corp.com/bumblekite-online?utm_source=mailinglist&utm_medium=email&utm_campaign=connectionists What is Bumblekite? Bumblekite is four?s experimental learning space at the intercession of health, care, and technology, and Bumblekite Online is our programme focusing on ?Healthcare data and AI policy?. We chose policy as the topic of our first module because we want to equip participants for discussing these issues, by exposing them to different opinions and ways of thinking, so they can understand everyday implications of AI, and apply this knowledge in their chosen field. Quick Facts 6 weeks, 50 participants, 5 closely mentored groups Synchronous and asynchronous online learning - direct mentor contact, as well as group, and independent work Time commitment around 30hrs totals, distributed over the 6 weeks Customized projects curated to recent advancements in the field 10+ internationally acclaimed guest speakers Course Description This six week course focuses on healthcare policy with an emphasis on how it can serve to foster interdisciplinary ways of thinking, and thus promote cross-disciplinary collaboration at the intersection of healthcare and data science.The course will be split into three modules: ?effective communication?, ?refining the issue?, and ?creating the pitch?. The course will involve each participant being placed in a group of up to 10 people under the guidance of an assigned mentor. Participants will work both independently and collaboratively to complete text and/or discussion based assignments that will be evaluated primarily by the mentor. Weekly sessions will be held featuring guest speakers with expertise at the intersection of policy with healthcare and data science. Course Objectives Upon successful completion of the course participants will be able to: Provide verbal and oral critiques of short policy briefs Identify and communicate policy issues to a variety of audiences Work collaboratively to complete a policy report related to healthcare + data science Application While this is a policy focused program, we don?t expect high levels of policy experience from each participant. We want to help teach people from different backgrounds how to critically think about policy, which means that we don?t expect a universal level of familiarity with the topic in our cohort, nor do we have a set expectation about your level, or field of education, what you do in your day to day life, or your professional experience in policy related disciplines. However, we do expect you to have experience with evidence based research, as this will be a heavily emphasized skill in the programme. Our application is centered around writing because we see it as an opportunity for you to tell us your story. Tell us about the project you would like to do, a project that you want Bumblekite to help you do, or a project that you?ve done in your other areas of interest and particularly enjoyed, let us know about your best learning, and teaching experiences. We always look for curious, open-minded, communicative, dedicated people, willing to both work with a team, but also take initiative and carve out their own educational experience. Registration The registration fee covers access to the entirety of the programme, including the lectures and group work, one-on-one mentoring, as well as complementary social events, access to our extended network of members, partners and collaborators, and personalized care packages delivered to your home. We offer a limited number of full and partial scholarships, that you can apply for by filling out the scholarship supplement in the application form. This year?s fees are as follows: USD 500 for undergraduate, graduate and other students, USD 1,500 for industry attendees, postdoctoral and other researchers affiliated to non-profit institutions. Application deadline: October 11th 2020 From Peter.Mooney at mu.ie Thu Sep 3 05:47:06 2020 From: Peter.Mooney at mu.ie (Peter Mooney) Date: Thu, 3 Sep 2020 09:47:06 +0000 Subject: Connectionists: PhD Scholarship in Evolving Deep Learning Networks - Maynooth University, Ireland. Message-ID: Dear colleagues, Apologies in advance for any cross-posting which may inevitably occur. It is with great pleasure that we can announce that Maynooth University's Naturally Inspired Computation Research Group has one 4-year PhD scholarship position available for a suitably qualified candidate to commence from February 2021 (Deadline: 18th October, 2020). The Scholarship includes full annual fees support (EU and overseas students are welcome to apply) and monthly tax-free stipend. The research focus of this PhD scholarship is related to Evolving Deep Learning Networks for selected real-world problems. Informal inquiries can be made to: Dr. Edgar Galvan (edgar.galvan at mu.ie) and Dr. Peter Mooney (peter.mooney at mu.ie) Full details and information about the application procedure are available in [1]. We would be very grateful if you could forward this to any potential candidates and/or advertise the position within your own professional networks. With every best wishe, Peter and Edgar. [1] https://www.maynoothuniversity.ie/computer-science/news/doctoral-scholarship-computer-science-0 Dr. Peter Mooney Co-head of the Naturally Inspired Computation Research Group Department of Computer Science Maynooth University Maynooth Co. Kildare Ireland Lastest scientific papers (selected): E. Galv?n and P. Mooney. Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges. CoRRabs/2006.05415 (2020) E. Galvan, O. Gorshkova, P. Mooney, F. Valdez, and E. Cuevas Jimenez. Statistical tree-based population seeding for rolling horizon EAs in general video game playing. Research in Computing Science, 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tom.Hanika at cs.uni-kassel.de Thu Sep 3 03:15:25 2020 From: Tom.Hanika at cs.uni-kassel.de (Tom Hanika) Date: Thu, 3 Sep 2020 09:15:25 +0200 Subject: Connectionists: Announcement: ICFCA 2021 -- 16th Intern. Conf. on Formal Concept Analysis (June 29 -- July 2, 2021, Strasbourg, France) Message-ID: ================================================================================ ?ICFCA 2021 ?16th International Conference on Formal Concept Analysis ?June 29 -- July 2, 2021, Strasbourg, France ?Web: ?Mail: icfca2021 at sciencesconf.org ================================================================================ * Overview Formal Concept Analysis emerged in the 1980's from attempts to restructure lattice theory in order to promote better communication between lattice theorists and potential users of lattice theory. Since its early years, Formal Concept Analysis has developed into a research field in its own right with a thriving theoretical community and a rapidly expanding range of applications in information and knowledge processing including visualization, data analysis (mining) and knowledge management and discovery. The ICFCA conference series aims at bringing together researchers and practitioners working on theoretical or applied aspects of Formal Concept Analysis within major related areas such as Mathematics and Computer and Information Sciences and their diverse applications to fields like Software Engineering, Linguistics, Life and Social Sciences, etc. * Topics Main topics of interest include, but are not limited to: ** Fundamental aspects of FCA - FCA theory - Lattice theory - Lattice drawing - Philosophical foundations - Algorithms and complexity theory ** Bridging FCA to information sciences and artificial intelligence - FCA and logic, e.g., semantic web, description logics - FCA and conceptual structures, e.g., concept graphs, knowledge spaces - FCA and data analysis, e.g., hierarchical classification, dataorganization - FCA and data mining, e.g., pattern mining - FCA and information retrieval, e.g. exploratory search, navigation,querying - FCA and machine learning, e.g., learning with hypothesis, feature selection - FCA and database theory, e.g., dependencies, rules, data cubes - FCA and software engineering - FCA and morphological mathematics ** Understanding, modelling real-world data and phenomena with FCA - Analysis of "big data" with FCA, e.g., sampling, parallel computing - Analysis of social networks and their dynamics - Applications for scientific data analysis, e.g., in biology or health care - Applications for sensors data and user interactions traces - Other FCA applications * Submission Details We invite scientific publications on theory and applications of Formal Concept Analysis. Papers of up to sixteen pages may be submitted in the PDF format via the Easychair system. Details will soon be announced on the conference website and in the CfP. * Important Dates Submission of abstract: *Junuary 18, 2021* Submission of full paper: *January 25, 2021* Notification of acceptance: March 16, 2021 Camera ready due: April 5, 2021 Conference: June 29 -- July 2, 2021 * Organization The conference will be hosted by Universit? de Strasbourg ** Conference Chairs Florence Le Ber, ICUBE, Universit? de Strasbourg, CNRS, ENGEES, France Agn?s Braud, ICUBE, Universit? de Strasbourg, CNRS, France ** Program Chairs Aleksey Buzmakov, Hiher School of Economics, Russia Tom Hanika, KDE, Universit?t Kassel, Germany _______________________________________________ fca-list mailing list fca-list at cs.uni-kassel.de https://mail.cs.uni-kassel.de/mailman/listinfo/fca-list From dwang at cse.ohio-state.edu Thu Sep 3 11:54:20 2020 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Thu, 3 Sep 2020 15:54:20 +0000 Subject: Connectionists: NEURAL NETWORKS, Sept. 2020 Message-ID: Neural Networks - Volume 129, September 2020 https://www.journals.elsevier.com/neural-networks A gentle introduction to deep learning for graphs Davide Bacciu, Federico Errica, Alessio Micheli, Marco Podda A neurodynamic model of the interaction between color perception and color memory Mateja Maric, Drazen Domijan DLPNet: A deep manifold network for feature extraction of hyperspectral imagery Zhengying Li, Hong Huang, Yule Duan, Guangyao Shi Multi-view clustering on data with partial instances and clusters Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu An end-to-end exemplar association for unsupervised person Re-identification Jinlin Wu, Yang Yang, Zhen Lei, Jinqiao Wang, ... Hari Mohan Pandey Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination Davide Borra, Silvia Fantozzi, Elisa Magosso Phase portraits as movement primitives for fast humanoid robot control Guilherme Maeda, Okan Koc, Jun Morimoto Image style transfer with collection representation space and semantic-guided reconstruction Zhuoqi Ma, Jie Li, Nannan Wang, Xinbo Gao Structure learning with similarity preserving Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, ... Zenglin Xu Self-organization of action hierarchy and compositionality by reinforcement learning with recurrent neural networks Dongqi Han, Kenji Doya, Jun Tani Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, ... Amir Hussain Graph embedded rules for explainable predictions in data streams Joao Roberto Bertini Missing data imputation with adversarially-trained graph convolutional networks Indro Spinelli, Simone Scardapane, Aurelio Uncini Contextual encoder-decoder network for visual saliency prediction Alexander Kroner, Mario Senden, Kurt Driessens, Rainer Goebel Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li Appearance variation adaptation tracker using adversarial network Mohammadreza Javanmardi, Xiaojun Qi Fast generalization error bound of deep learning without scale invariance of activation functions Yoshikazu Terada, Ryoma Hirose Noise can speed backpropagation learning and deep bidirectional pretraining Bart Kosko, Kartik Audhkhasi, Osonde Osoba Prediction of N6-methyladenosine sites using convolution neural network model based on distributed feature representations Muhammad Tahir, Maqsood Hayat, Kil To Chong Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem Hadrien Montanelli, Haizhao Yang Quasi-bipartite synchronization of signed delayed neural networks under impulsive effects Guohong Mu, Lulu Li, Xiaodi Li Novel results on finite-time stabilization of state-based switched chaotic inertial neural networks with distributed delays Changqing Long, Guodong Zhang, Zhigang Zeng A neurodynamic optimization approach for complex-variables programming problem Shuxin Liu, Haijun Jiang, Liwei Zhang, Xuehui Mei A new Lyapunov functional for stability analysis of neutral-type Hopfield neural networks with multiple delays Ozlem Faydasicok Pinning bipartite synchronization for inertial coupled delayed neural networks with signed digraph via non-reduced order method Shanshan Chen, Haijun Jiang, Binglong Lu, Zhiyong Yu, Liang Li Group visualization of class-discriminative features Rui Shi, Tianxing Li, Yasushi Yamaguchi Deep learning for symbols detection and classification in engineering drawings Eyad Elyan, Laura Jamieson, Adamu Ali-Gombe Initializing photonic feed-forward neural networks using auxiliary tasks Nikolaos Passalis, George Mourgias-Alexandris, Nikos Pleros, Anastasios Tefas A spiking neural network-based long-term prediction system for biogas production Giacomo Capizzi, Grazia Lo Sciuto, Christian Napoli, Marcin Wozniak, Gianluca Susi Batch process fault detection for multi-stage broad learning system Chang Peng, RuiWei Lu, Olivia Kang, Wang Kai Energy-efficient and damage-recovery slithering gait design for a snake-like robot based on reinforcement learning and inverse reinforcement learning Zhenshan Bing, Christian Lemke, Long Cheng, Kai Huang, Alois Knoll -------------- next part -------------- An HTML attachment was scrubbed... URL: From timothee.masquelier at alum.mit.edu Fri Sep 4 07:44:26 2020 From: timothee.masquelier at alum.mit.edu (=?UTF-8?Q?Timoth=C3=A9e_Masquelier?=) Date: Fri, 4 Sep 2020 13:44:26 +0200 Subject: Connectionists: postdoctoral position in computational neurosciences at CERCO, Toulouse, France Message-ID: *1- FLAG-ERA Post-doctoral fellowship in the Cerco laboratory (Toulouse, France) on computational neurosciences and multisensory integration* Starting date: first semester of 2021 A postdoctoral research position is available to work at the Cerco laboratory under the supervision of Benoit Cottereau (CNRS researcher) and in close collaboration with Timoth?e Masquelier and C?line Cappe (both CNRS researchers). This position is funded by a European FLAG-ERA project ( https://www.humanbrainproject.eu/en/about/project-structure/partnering-projects/domino/) driven by the University of Amsterdam, the Italian Institute of Neuroscience, the Panteion University in Greece and the Cerco. The aim of the project is to develop computational models that explain the normal and abnormal development of multisensory integration (in particular of audio-visual integration) in the mammal brain. These models will be based on spiking neural networks and regulated by bio-inspired plasticity rules (see e.g. Chauhan et al., 2018). They will be validated from electrophysiological recordings performed in mice by the Dutch partners of the project. The applicant should have a solid background in computational neurosciences, signal processing as well as very good programming skills. Knowledge on sensory systems would be highly appreciated. As the project is international and will necessitate multiple interactions between the different partners, the applicant should be keen on working in interdisciplinary environments, and should be fluent in English (French is not mandatory). Toulouse is the second university hub in France (after Paris). It is also an attractive city with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean sea and the Spanish border). The position is for up to 24 months with standard French salaries. Applications should be sent to benoit.cottereau at cnrs.fr including a CV and 2 names of references. *Reference:* Chauhan, T., Masquelier, T., Montlibert, A., & Cottereau, B. R. (2018). Emergence of binocular disparity selectivity through Hebbian learning. *Journal of Neuroscience*, *38*(44), 9563-9578. -- Timoth?e Masquelier - timothee.masquelier at cnrs.fr - http://cerco.ups-tlse.fr/~masquelier/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From vincentthunder2011 at gmail.com Thu Sep 3 03:54:10 2020 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Thu, 3 Sep 2020 15:54:10 +0800 Subject: Connectionists: [Deadline Extended] ICS 2020 Message-ID: ---------------------------- CALL FOR PAPERS ---------------------------- 2020 International Computer Symposium (ICS 2020), December 17-19, 2020, Tainan, Taiwan. http://ics2020.ncku.edu.tw/ Introduction: International Computer Symposium (ICS) is one of the most prestigious international ICT symposiums held in Taiwan. Founded in 1973, it is intended to provide a forum for researchers, educators, and professionals to exchange their discoveries and practices, and to explore future trends and applications in computer technologies. The biennial symposium offers a great opportunity to share research experiences and to discuss potential new trends in the ICT industry. ICS 2020 will provide workshops, panels and keynotes to facilitate discourse on and deepen the understanding of the challenges in computer and communication technologies. This year, ICS 2020 will be held at Shangri-La's Far Eastern Plaza Hotel and National Cheng Kung University, Tainan, Taiwan, on December 17-19, 2020. The conference will include the following workshops: 1. Workshop on Algorithms and Computation Theory 2. Workshop on Artificial Intelligence on Education 3. Workshop on Artificial Intelligence Learning Theory 4. Workshop on AIoT Applications 5. Workshop on Computer Architecture, Embedded Systems, SoC, and VLSI/EDA 6. Workshop on Intelligent Network 7. Workshop on Cyber Security 8. Workshop on Big Data 9. Workshop on AR/VR and Human Computer Interaction 10. Workshop on Image Processing, Computer Graphics, and Multimedia Technologies 11. Workshop on Web Intelligence and Social Network 12. Workshop on 5G/6G Communications, Protocols, and Applications 13. Workshop on Parallel, Distributed, and Cloud/Edge Computing 14. Workshop on Software Engineering and Programming Languages 15. Workshop on AI for Healthcare and Bioinformatics 16. Workshop on Intelligent Manufacturing 17. Workshop on Autonomous Driving Important Dates Paper submission due date: September 8, 2020 Paper notification: October 15, 2020 Final paper due date: November 1, 2020 Conference date: December 17-19, 2020 SUBMISSION Paper Submission Format Paper must be submitted electronically using the IEEE Xplore compatible PDF via the websites. All papers will be peer reviewed. Papers should be in English, not exceeding 6 double-column pages for regular paper (not exceeding 2 double-column pages for short paper), including figures, tables, references, and appendices (10-point font). Please use the standard IEEE conference proceedings templates for Microsoft Word or LaTeX formats founded at http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made through the ICS 2020 submission page, handled by the EasyChair conference management system: https://easychair.org/conferences/?conf=ics20200 Guide to ICS 2020 Paper Submission System: http://ics2020.ncku.edu.tw/files/ICS2020_Submission_Guideline(EasyChair)_multitrack.pdf Important IEEE Policy The IEEE reserves the right to exclude a paper from distribution after the conference (including its removal from IEEE Xplore) if the paper is not presented at the workshop. Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conferences/workshops/symposia at the same time (double submission). These matters are taken very seriously and the IEEE Tainan Section will take action against any author who engages in either practice. Follow these links to learn more: IEEE Policy on Plagiarism: https://www.ieee.org/publications/rights/plagiarism/plagiarism.html IEEE Policy on Double Submission: https://www.ieee.org/publications/rights/multi-sub-guidelines-intro.html PLEASE NOTE: To be published in the ICS 2020 Conference Proceedings and to be eligible for publication in IEEE Xplore?, an author of an accepted paper is required to register for the conference at the full (member or non-member) rate and the paper must be presented by an author of that paper at the conference unless the TPC Chair grants permission for a substitute presenter arranged in advance of the event and who is qualified both to present and answer questions. Non-refundable registration fees must be paid prior to uploading the final IEEE formatted, publication-ready version of the paper. For an author with multiple accepted papers, one full registration is valid for 1 paper. All accepted papers will be included in ICS 2020 Conference Proceeding, but only regular papers (full-rate registered and presented) will be submitted to IEEE Xplore?. All questions about submissions should be emailed to ics2020 at email.ncku.edu.tw -------------- next part -------------- An HTML attachment was scrubbed... URL: From mudrikli at tauex.tau.ac.il Fri Sep 4 07:56:51 2020 From: mudrikli at tauex.tau.ac.il (Liad Mudrik) Date: Fri, 4 Sep 2020 14:56:51 +0300 Subject: Connectionists: 2-3 years senior post-doctoral research position for computational neuroscientists In-Reply-To: References: Message-ID: *2-3 years senior post-doctoral research position* to work with *Liad Mudrik* at Tel Aviv University, Tel Aviv, Israel and *Michael Pitts* at Reed College, Portland Oregon, USA (location flexible in one of the two labs). *Project:* International adversarial collaboration on the neural basis of visual consciousness, aimed at testing key predictions of integrated information theory and global neuronal workspace theory. Collaborators include: Stanislas Dehaene, Giulio Tononi, Christof Koch, Lucia Melloni, David Chalmers, Hal Blumenfeld, Floris de Lange, Ole Jensen, Gabriel Kreiman, Huan Luo, Francis Fallon, and others. *Required skills: * - expertise in advanced data analysis; experience in the following techniques is an advantage: EEG/MEG, fMRI, ECoG - experience and interest in managing large datasets - experience and interest in cloud-based or local-cluster-based computing - interest and ability to work on team-based projects *Start date: *Flexible between June and October 2020 *To apply: *email CV, research statement, and cover letter to *mudrikli at tauex.tau.ac.il * and *mpitts at reed.edu * > -------------- next part -------------- An HTML attachment was scrubbed... URL: From zoltan.szabo.list at zoho.com Fri Sep 4 10:14:10 2020 From: zoltan.szabo.list at zoho.com (Zoltan Szabo) Date: Fri, 4 Sep 2020 16:14:10 +0200 Subject: Connectionists: Data Science Summer School 2020 -- Application is open Message-ID: Dear All, The Data Science Initiative of ?cole Polytechnique, the DATAIA Institute and the Chaire Stress Test co-organize the 4th Data Science Summer School. Web: http://www.ds3-datascience-polytechnique.fr/ The application system is now open; you are welcome to apply! Key Dates: -Application deadline: September 30, 2020. -Notification of acceptance: October 14, 2020. -Event: January 6 - 8 (Wednesday - Friday), 2021. Best, DS^3 Organizers -------------- next part -------------- A non-text attachment was scrubbed... Name: Flyer-DS3.pdf Type: application/pdf Size: 472162 bytes Desc: not available URL: From bogdanlapi at gmail.com Fri Sep 4 17:02:17 2020 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Sat, 5 Sep 2020 00:02:17 +0300 Subject: Connectionists: Development data released & Call-for-Participation: MediaEval 2020 Predicting Media Memorability Task Message-ID: [Apologies for cross-postings] ******************************************************* Predicting Media Memorability Task #Development Data Released# 2020 MediaEval Benchmarking Initiative for Multimedia Evaluation https://multimediaeval.github.io/editions/2020/tasks/memorability/ ******************************************************* Register here to participate: https://docs.google.com/forms/d/e/1FAIpQLSfxS4LPBhLQUTXSPT5vogtiSy7BuAKrPs6u6pZXcSV1Xs7XEQ/viewform ******************************************************* Help us with the annotations: https://annotator.uk/mediaeval/index.php ******************************************************* The Predicting Media Memorability Task focuses on the problem of predicting how memorable a video will be. It requires participants to automatically predict memorability scores for videos, which reflect the probability of a video being remembered. Participants will be provided with an extensive data set of videos with memorability annotations, and pre-extracted state-of-the-art visual features. The ground truth has been collected through recognition tests, and, for this reason, it reflects objective measures of memory performance. In contrast to previous work on image memorability prediction, where memorability was measured a few minutes after memorisation, the data set comes with short-term and long-term memorability annotations. Because memories continue to evolve in long-term memory, in particular during the first day following memorisation, we expect long-term memorability annotations to be more representative of long-term memory performance, which is used preferably in numerous applications. Participants will be required to train computational models capable of inferring video memorability from visual content. Models will be evaluated through standard evaluation metrics used in ranking tasks. *********************** Target communities *********************** Researchers will find this task interesting if they work in the areas of human perception and scene understanding, such as image and video interestingness, memorability, attractiveness, aesthetics prediction, event detection, multimedia affect and perceptual analysis, multimedia content analysis, machine learning (though not limited to). *********************** Data & ground truth *********************** Data is composed of 6,000 short videos retrieved from TRECVid 2019 Video to Text data set. Each video consists of a coherent unit in terms of meaning and is associated with two scores of memorability that refer to its probability to be remembered after two different durations of memory retention. Similar to previous editions of the task, memorability has been measured using recognition tests, i.e., through an objective measure, a few minutes after the memorisation of the videos (short term), and then 24 to 72 hours later (long term). The videos are shared under Creative Commons licenses that allow their redistribution. They come with a set of pre-extracted features, such as: Aesthetic Features, C3D, Captions, Colour Histograms, HMP, HoG, Fc7 layer from InceptionV3, LBP, or ORP. In comparison to the videos used in this task in 2018 and 2019, the TRECVid videos have much more action happening in them and thus are more interesting for subjects to view. *********************** MediaEval Workshop *********************** Participants to the task are invited to present their results during the annual MediaEval Workshop, which will be held online in early December 2020. Working notes proceedings are to appear with CEUR Workshop Proceedings (ceur-ws.org). *********************** Important dates (tentative) *********************** (open) Participant registration: July Development data release: 31 August Test data release: 21 September Runs due: 15 October Working notes papers due: 30 November MediaEval Workshop, online: Early December *********************** Task coordination *********************** Alba Garcia Seco de Herrera, Rukiye Savran Kiziltepe, Faiyaz Doctor, University of Essex, UK Mihai Gabriel Constantin, Bogdan Ionescu, University Politehnica of Bucharest, Romania Alan Smeaton, Graham Healy, Dublin City University, Ireland Claire-Helene Demarty, InterDigital, France On behalf of the Organizers, Prof. Bogdan IONESCU http://campus.pub.ro/lab7/bionescu/ From laurenz.wiskott at rub.de Fri Sep 4 11:33:50 2020 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Fri, 4 Sep 2020 17:33:50 +0200 Subject: Connectionists: PhD position with Prof. Laurenz Wiskott at the Institute for Neural Computation, Ruhr-University Bochum, Germany Message-ID: <20200904153350.37asqfds572rrvtd@curry.localdomain> ____________________________________________________________________________ Open position for a PhD-student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ____________________________________________________________________________ University: The Ruhr-Universit?t Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Chair: Prof. Dr. Laurenz Wiskott, see https://www.ini.rub.de/research/groups/theory_of_neural_systems/ Research topics: We are looking for an excellent PhD student at the intersection of reinforcement learning and representation learning in real world applications. This is done in close cooperation with Prof. Wolfgang Konen at the TH K?ln, site Gummersbach, in an effort to develop transparent and explainable AI by combining representation learning, reinforcement learning, and rule learning. Teaching: There is a teaching load of 4 hours per week during the semester. Time: The appointment will be for three and a half years Anticipated starting date is January 1st. Requirements: Candidates should have a recent and ery good Master degree in mathematics, computer science, engineering or a related field. Salary: Salary is 100% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott . Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to Prof. Laurenz Wiskott . Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged. From vincentthunder2011 at gmail.com Fri Sep 4 10:35:45 2020 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Fri, 4 Sep 2020 22:35:45 +0800 Subject: Connectionists: [CFP] DASFAA 2021 Message-ID: Call for Papers for the 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021) April 11 to 14, 2021, Taiwan Conference Scope The International Conference on Database Systems for Advanced Applications (DASFAA) is a leading international forum for discussing the latest research on database systems and advanced applications. DASFAA, a well-established international conference series that provides a forum for technical presentations and discussions among database researchers, developers, and users from academia, business, and industry, showcases state-of-the-art R&D activities in the general areas of database systems and their applications. Topics DASFAA 2021 welcomes high-quality, original, and previously unpublished submissions in the database theory, technology, and practice. Topics of interests for the conference include, but not limited to, the following: - Database theory: Big data management, graph data management, data management in social networks, data semantics and data integration, spatial data management, sequence and temporal data processing, temporal and spatial databases, large-scale knowledge management, RDF and knowledge graphs, query processing and optimization, text databases, information integration, multimedia databases, multimedia data processing, cloud data management, data archive and digital library, data model and query language, data streams and time-series data, data warehouse and OLAP, embedded and mobile databases, databases for emerging hardware, parallel and distributed databases, probabilistic and uncertain data, real-time data management, Semantic Web and triple data management, Semantic Web and knowledge management, sensor data management, statistical and scientific databases, transaction management, XML, RDF and semi-structured data, and Web data management. - Technology and Practice: Machine learning for database, graph and social network analysis, text and data mining, search and recommendation technology, network embedding, security, privacy and trust, medical data mining, distributed computing, data mining and knowledge discovery, data semantics and integrity constraints, data quality and credibility, recommendation systems, crowdsourcing, bio and health informatics, search and information retrieval, information recommendation, database usability and HCI, HCI for modern information systems, index and storage systems, blockchain, parallel, distributed & P2P systems, Deep Web, Web information systems, advanced database and Web applications, and information extraction and summarization. Paper Submission Paper submission must be in English. All papers will be double-blind reviewed by the Program Committee based on technical quality, relevance to DASFAA, originality, significance, and clarity. All paper submissions will be handled electronically. Any submitted paper violating the length, file type, or formatting requirements will be rejected without review. Each submitted paper should include an abstract up to 200 words and be no longer than 16 pages (including references, appendices, etc.) in LNCS (Lecture Notes in Computer Science) format. We encourage authors to cite related work comprehensively. When citing conference papers, please also consider citing their extended journal versions if applicable. All papers must be submitted electronically through the paper submission system in PDF only. The submitted papers must not be previously published anywhere and must not be under consideration by any other conference or journal during the DASFAA review process. If the paper was accepted, at least one author will complete the regular registration and attend the conference to present the paper. For no-show authors, their papers will not be included in the proceedings. Accepted papers will be published in the conference proceedings. Double-Blind Review DASFAA 2021 will employ a double-blind reviewing process, i.e., the PC members and referees who review the paper will not know the identity of the authors. To ensure the anonymity of authorship, authors must prepare their manuscript as follows: - Author's names and affiliations must not appear on the title page or elsewhere in the paper. - Funding sources must not be acknowledged on the title page or elsewhere in the paper. - Research group members, or other colleagues or collaborators, must not be acknowledged anywhere in the paper. - Source file naming must also be done with care, to avoid identifying the author's names in the paper's associated metadata. For example, if your name is Jane Smith and you submit a PDF file generated from a .dvi file called Jane-Smith.dvi, your authorship could be inferred by looking into the PDF file. Submissions must have all details identifying the author(s) removed from the original manuscript (including the supplementary files, if any), and the author(s) should refer to their prior work in the third person and include all relevant citations. It is the responsibility of authors to do their very best to preserve anonymity. Papers that do not follow the guidelines here, or otherwise potentially reveal the identity of the authors, are subject to immediate rejection. Because of the double-blind review policy, the submission of an extended version of a short paper that has published elsewhere is strongly discouraged in DASFAA 2021. Because of the double-blind review process, non-anonymous papers that have been issued as technical reports (e.g., arXiv or similar) cannot be considered for DASFAA 2021. Formatting Template Please use one of the following templates for the LNCS (Lecture Notes in Computer Science) format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Submission Website: https://cmt3.research.microsoft.com/DASFAA2021 Conference Website: http://dm.iis.sinica.edu.tw/DASFAA2021/index.html Call for Workshops for the 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021) We invite workshop proposals on topics related to database systems and their applications. The duration of each workshop is either one full day or a half day. All workshops will benefit from the registration process of DASFAA 2021 (we will have a single registration for conferences, workshops and tutorials). Submission Guidelines for Workshop Proposals Workshop proposals should be submitted by email to xu... at comp.hkbu.edu.hk and wcp... at cs.nctu.edu.tw as a PDF attachment. Please include "DASFAA 2021 Workshop Proposal" in the subject line. Each workshop proposal must contain all pertinent information, including the following: Workshop title and acronym Short description about the workshop, including the list of topics Name and contact information of the organizer(s) Preferred duration of the workshop (half or full day) Potential PC members of the workshop Important dates (paper submission deadline, notification deadline, etc.) Expected number of participants In case of previous instances of the workshop, the historical numbers of participants Call for Industry Papers for the 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021) The Industrial & Practitioner Track of the 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021) seeks for submissions covering innovative industry database systems and applications, innovative implementation of data management technologies, and experience in applying new technologies in big data to real-world domains. The goal of this track is to introduce and discuss emerging trends and challenges with practical implications, and to facilitate interactions between academia and industry in this area. Contributions from both industry R&D groups and the academia are welcome. Topics of interest include, but are not limited to - Advanced Analytics of Database Systems - Applications for Big Data Management - Mining Industrial & Business Dat - Cloud Computing - Web Data Management - Artificial Intelligence for Data Management - Exploitation of New Hardware Trends - Security and privacy issues for database - Explainability, fairness and accountability Authors should submit papers reporting original work that are currently not under review or published elsewhere. We will accept full papers (up to 12 pages) and extended abstracts (up to 4 pages) in LNCS (Lecture Notes in Computer Science) format. Industrial track submissions must be submitted electronically, in pdf format, using the same Conference Management Tool as the research track. Please mention "Industrial Track" next to the paper title during submission in the CMT system. All accepted papers will be published in the conference proceedings. For any problems with the submission system, please contact the Industry co-chair directly. Call for PhD Consortium Proposals for the 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021) The DASFAA PhD Consortium provides a platform for PhD students to present their PhD proposals and to seek comments and suggestions from the PhD Consortium Committee, which consists of leading scientists and experts in the DSFAA related areas. The PhD students should be in the phase of preparing or completing their PhD thesis proposals at their home universities. All the submitted proposals will be reviewed by the committee. The accepted proposals will be included in the conference proceedings, and the corresponding authors will be invited to attend the consortium and interact directly with the committee members at DASFAA 2021. Submission guidelines A four-page proposal of your PhD research plan and progress in the Springer Lecture Notes format. Your proposal should follow the same outline, details, and format of DASFAA papers. It should include: The title of your PhD proposal and the author name The problem definitions, motivations, and novelties The current development and related work Your proposed approach and methodology, and the significance The current results and future work of your research The proposal should be prepared in PDF format. DASFAA 2021 uses the CMT system for paper submission. Please submit your paper via the link here: https://cmt3.research.microsoft.com/DASFAA2021/ Review Process: The submitted PhD proposals will be evaluated based on several factors: The novelty of the problems The clear understanding of the current development in the related areas The significance of the proposed methodology The significant of your contribution All accepted proposals are required to be presented at the conference. Important Dates Research Papers Abstract submission deadline: October 28, 2020 (PDT) Paper submission deadline: November 04, 2020 (PDT) Acceptance notification: December 28, 2020 Camera-ready due: January 08, 2021 Industry Papers Paper submission deadline: November 04, 2020 (PDT) Acceptance notification: December 28, 2020 Camera-ready due: January 08, 2021 Demo Papers Paper submission deadline: November 23, 2020 (PDT) Acceptance notification: December 28, 2020 Camera-ready due: January 08, 2021 Workshop Proposals Proposal submission deadline: October 05, 2020 (PDT) Acceptance notification: October 12, 2020 Tutorial Proposals Proposal submission deadline: November 23, 2020 (PDT) Acceptance notification: December 28, 2020 Ph.D. Consortium Papers Paper submission deadline: November 14, 2020 (PDT) Acceptance notification: December 28, 2020 Camera-ready due: January 10, 2021 Contact Information If you have any questions, please feel free to contact us at dasfaa2021 at gmail.com Honorary Chairs Philip S. Yu (University of Illinois at Chicago, USA) Ming-Syan Chen (National Taiwan University, Taiwan) Masaru Kitsuregawa (University of Tokyo, Japan) General Chairs Christian S Jensen (Aalborg University, Denmark) Ee-Peng Lim (Singapore Management University, Singapore) De-Nian Yang (Academia Sinica, Taiwan) Program Committee Chairs Wang-Chien Lee (Pennsylvania State University, USA) Vincent S. Tseng (National Chiao Tung University, Taiwan) -------------- next part -------------- An HTML attachment was scrubbed... URL: From zk240 at cam.ac.uk Fri Sep 4 19:17:08 2020 From: zk240 at cam.ac.uk (Zoe Kourtzi) Date: Sat, 5 Sep 2020 00:17:08 +0100 Subject: Connectionists: Postdocs in machine learning for dementia and mental health, Univ of Cambridge UK Message-ID: 2 x post-doctoral positions in Machine Learning for Precision Mental Health at the University of Cambridge, UK Exciting opportunity to work in collaboration with The Cambridge Centre for Mathematical Imaging in Healthcare, the Alan Turing Institute, and AstraZeneca on developing machine learning approaches for early diagnosis of dementia and mental health disorders. For details and to apply online see: http://www.jobs.cam.ac.uk/job/26806/ For Informal enquiries please contact Prof Zoe Kourtzi (zk240 at cam.ac.uk) or Prof Carola Sch?nlieb (cbs31 at cam.ac.uk) with CV and brief statement of background skills and research interests. -------------- next part -------------- An HTML attachment was scrubbed... URL: From marin.vlastelica at tue.mpg.de Sat Sep 5 06:07:14 2020 From: marin.vlastelica at tue.mpg.de (Marin Vlastelica) Date: Sat, 5 Sep 2020 12:07:14 +0200 Subject: Connectionists: Call for Papers: Learning Meets Combinatorial Algorithms at NeurIPS2020 Message-ID: Dear colleagues, we are accepting abstract submissions for the Learning Meets Combinatorial Algorithms workshop at NeurIPS2020. Submission instructions (deadline Oct 05 2020 11:59PM UTC) can be found at the workshop website: https://sites.google.com/view/lmca2020 along with the list of invited speakers. Why this workshop? Machine learning algorithms have been shown to generalize poorly on combinatorially demanding tasks. Recent research has demonstrated that merging combinatorial optimization with machine learning methods enables solving problems that require non-trivial combinatorial generalization beyond pattern matching. In this spirit, this workshop aims to bring the communities (machine learning and combinatorial optimization, operations research) together in order to motivate further research at the intersection. This involves: * Machine learning approaches aimed at improving combinatorial algorithms/solvers. * Machine learning techniques to directly learn solvers for combinatorial problems. * Hybrid architectures; pipelines containing both algorithmic/combinatorial and standard NN building blocks. * Applications of the above. Kind regards, Marin Vlastelica From cgf at isep.ipp.pt Sat Sep 5 13:39:47 2020 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Sat, 5 Sep 2020 18:39:47 +0100 Subject: Connectionists: CFP: Special Issue on Foundations of Data Science - Machine Learning Journal Message-ID: Special Issue on Foundations of Data Science - Machine Learning Journal Data science is currently a very active topic with an extensive scope, both in terms of theory and applications. Machine Learning is one of its core foundational pillars. Simultaneously, Data Science applications provide important challenges that can often be addressed only with innovative Machine Learning algorithms and methodologies. This special issue focuses on the latest developments in Machine Learning foundations of data science, as well as on the synergy between data science and machine learning. We welcome new developments in statistics, mathematics and computing that are relevant for data science from a machine learning perspective, including foundations, systems, innovative applications and other research contributions related to the overall design of machine learning and models and algorithms that are relevant for data science. Theoretically well-founded contributions and their real-world applications in laying new foundations for machine learning and data science are welcome. This special issue solicits the attention of a broad research audience. Since it brings together a variety of foundational issues and real-world best practices, it is also relevant to practitioners and engineers interested in machine learning and data science. Accepted papers will be presented at the IEEE DSAA conference in Porto, October 2021. --------------------------------------------------------- Topics of Interest --------------------------------------------------------- We welcome original research papers on all aspects of data science in relation to machine learning, including the following topics: *Machine Learning Foundations of Data Science Auto-ML Fusion of information from disparate sources Feature engineering, Feature embedding and data preprocessing Learning from network data Learning from data with domain knowledge Reinforcement learning Evaluation of Data Science systems Risk analysis Causality, learning causal models Multiple inputs and outputs: multi-instance, multi-label, multi-target Semi-supervised and weakly supervised learning Data streaming and online learning Deep Learning *Emerging Applications Autonomous systems Analysis of Evolving Social Networks Embedding methods for Graph Mining Online Recommender Systems Augmented Reality, Computer Vision Real-Time Anomaly, Failure, image manipulation and fake detection *Human Centric Data Science Privacy preserving, Ethics, Transparency Fairness, Explainability, and Algorithm Bias Accountability and responsibility Reproducibility, replicability and retractability Green Data Sciences *Infrastructures IoT data analytics and Big Data Large-scale processing and distributed/parallel computing; Cloud computing *Data Science for the Next Digital Frontier in: Telecommunications and 5G Retail, Green Transportation Finance, Blockchains, Cryptocurrencies Manufacturing, Predictive Maintenance, Industry 4.0 Energy, Smart Grids, Renewable energies Climate change and sustainable environment Contributions must contain new, unpublished, original and fundamental work relating to the Machine Learning journal?s mission. All submissions will be reviewed using rigorous scientific criteria whereby the novelty of the contribution will be crucial. --------------------------------------------------------- Submission Instructions -------------------------------------------------------- Submit manuscripts to: http://MACH.edmgr.com. Select ?SI: Foundations of Data Science? as the article type. Papers must be prepared in accordance with the Journal guidelines: https://www.springer.com/journal/10994 Authors are encouraged to submit high-quality, original work that has neither appeared in, nor is under consideration by other journals. All papers will be reviewed following standard reviewing procedures for the Journal. --------------------------------------------------------- Key Dates --------------------------------------------------------- Continuous submission/review process Cutoff dates: 30 September, 30 December and 1st March Last paper submission deadline: 1 March 2021 Paper acceptance: 1 June 2021 Camera-ready: 15 June 2021 --------------------------------------------------------- Guest Editors --------------------------------------------------------- Al?pio Jorge, University of Porto, Jo?o Gama, University of Porto Salvador Garc?a, University of Granada Carlos Ferreira ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From xiaochun.cheng at gmail.com Sat Sep 5 18:17:50 2020 From: xiaochun.cheng at gmail.com (Xiaochun Cheng) Date: Sat, 5 Sep 2020 23:17:50 +0100 Subject: Connectionists: Security of Cloud Service for the Manufacturing Industry Message-ID: <000801d683d2$65e1b570$31a52050$@gmail.com> Welcome to submit your relevant original papers to the following special issue: Submission of manuscript is extended to Sep 28, 2020 Special Issue on Security of Cloud Service for the Manufacturing Industry https://onlinelibrary.wiley.com/page/journal/21613915/homepage/special_issue s.htm Transactions on Emerging Telecommunications Technologies https://onlinelibrary.wiley.com/journal/21613915 https://mc.manuscriptcentral.com/ett [Our apologies if you receive multiple copies of this CFP] -------------- next part -------------- An HTML attachment was scrubbed... URL: From Edgar.Galvan at mu.ie Sun Sep 6 06:28:34 2020 From: Edgar.Galvan at mu.ie (=?iso-8859-1?Q?Edgar_Galv=E1n?=) Date: Sun, 6 Sep 2020 10:28:34 +0000 Subject: Connectionists: One 4-year PhD scholarship in Computer Science, Maynooth University (Evolving Deep Learning Networks) Message-ID: Dear colleagues, Apologies in advance for any cross-posting which may inevitably occur. It is with great pleasure that we can announce that Maynooth University's Naturally Inspired Computation Research Group has one 4-year PhD scholarship position available for a suitably qualified candidate to commence from February 2021 (Deadline: 18th October, 2020). The Scholarship includes full annual fees support (EU and overseas students are welcome to apply) and monthly tax-free stipend. The research focus of this PhD scholarship is related to Evolving Deep Learning Networks for selected real-world problems. Informal inquiries can be made to: Dr. Edgar Galvan (edgar.galvan at mu.ie) and Dr. Peter Mooney (peter.mooney at mu.ie) Full details and information about the application procedure are available in [1]. We would be very grateful if you could forward this to any potential candidates and/or advertise the position within your own professional networks. With every best wishes, Edgar and Peter [1] Doctoral Scholarship in Computer Science -------------- next part -------------- An HTML attachment was scrubbed... URL: From Frank.Pollick at glasgow.ac.uk Sun Sep 6 17:55:14 2020 From: Frank.Pollick at glasgow.ac.uk (Frank Pollick) Date: Sun, 6 Sep 2020 21:55:14 +0000 Subject: Connectionists: Machine Learning and Computer Vision Research Scientist (KTP Associate) - London, UK Message-ID: Dear Colleagues, We are looking for a Machine Learning Research Scientist to work on a Knowledge Transfer Partnership (KTP) funded project with the aim to develop and commercialise an image Location Identification Classifier (LoID) to match large volumes of images, based on scene, metadata, and location content, utilising computer vision and machine learning. This technology will be used by Qumodo customers in policing and security to aid in the investigation of cases of child abuse and human trafficking. The successful delivery of this project will assist investigators and contribute to a safer society. The university team for this project is a collaboration between the Schools of Psychology and Computing Science at the University of Glasgow. The industrial partner for this project is Qumodo (https://qumo.do). Qumodo specialises in research and development related to human interaction with AI, primarily for applications which help to build a safer society. The selected candidate will primarily be based at their premises in London receiving training from both the company and university teams. The candidate should have a strong programming background and experience with machine learning, computer vision, running a research project and experimental design. We expect that candidates will have experience beyond running pre-trained networks to include experience with the design, implementation, training and evaluation of deep neural networks from scratch on custom data sets. Their work will be aligned to the commercial interests of the company and they will work collaboratively with the company's Research and Development team, taking an instrumental role in the delivery of new products. The successful candidate will also be expected to write reports on their studies and research papers during the course of the KTP. It is important that candidates are eligible for UK security clearance and thus at a minimum have been resident in the UK for at least five years. Successful application for Security Clearance (SC) will be part of the probationary period. For details on SC clearance check: https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels/national-security-vetting-clearance-levels). The salary shall be determined by the Researcher, the University and the KTP Partner. The amount shall be appropriate to the experience and qualifications of the appointed Researcher in the region of ?33,000 - ?45,000 per annum depending on qualifications and experience. Funding is available on a full-time basis (35 hours per week) and is available for up to 34 months in the first instance. For further enquiries about the role please contact: Prof. Frank Pollick (Principal Investigator, Frank.Pollick at glasgow.ac.uk) For more information and to apply online: https://my.corehr.com/pls/uogrecruit/erq_jobspec_version_4.jobspec?p_id=041424 Closing Date: 13 September 2020 -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sun Sep 6 16:10:44 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 6 Sep 2020 22:10:44 +0200 Subject: Connectionists: FedCSIS 2020 -- open and free of charge Webex-based participation. In-Reply-To: <5cc16528-f996-b1d3-4e67-a3df4741295a@ibspan.waw.pl> References: <5cc16528-f996-b1d3-4e67-a3df4741295a@ibspan.waw.pl> Message-ID: <0ca7ecbb-9e99-e388-2cd5-4dd817b60fde@amu.edu.pl> Dear Colleague, The 15th Conference on Computer Science and Information Systems 2020 will start tomorrow (Monday, 7.9.2020) and will last for 3 days. It will be 100% online and will run using Webex. Conference schedule is available at: https://www.fedcsis.org/2020/program There you can find links to each session -- including the opening and all keynotes. These links are with the "Webex attendee status", which allows one to see any session. This means that participation in FedCSIS 2020 is open and free of charge. Hence you (and anyone else you would like to invite) can participate. We are told that Webex should be able to handle it. If it will not, blame Webex authors. Near by the conference program you will find also a short Webex manual. "See you" during the conference, Marcin Paprzycki (for the FedCSIS team) -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com From scholarshipchile at gmail.com Sun Sep 6 13:13:24 2020 From: scholarshipchile at gmail.com (Chilean Scholar) Date: Sun, 6 Sep 2020 18:13:24 +0100 Subject: Connectionists: [CFP] 1st Workshop on Cyber Forensics &Threat Investigations Challenges in Emerging Infrastructures In-Reply-To: References: +-+-+-+-+ +-+-+-+ +-+-+-+-+-+-+ |C|a|l|l| |F|o|r| |P|a|p|e|r|s| +-+-+-+-+ +-+-+-+ +-+-+-+-+-+-+ *********************************************************************************** 1st International Workshop on Cyber Forensics and Threat Investigations Challenges in Emerging Infrastructures (CFTIC 2020) in conjunction with the 18th International Conference on Service Oriented Computing (ICSOC 2020) which is co-organized on December 14-17 2020, Dubai, UAE. *********************************************************************************** Scope of the workshop: The main motivation for this Workshop is to bring together researchers and practitioners working on cyber forensics and threat investigations for emerging infrastructures to disseminate current research issues and advances. Original technical papers describing new, state-of-the-art research, will be considered. The Workshop welcomes submissions that evaluate existing research results by reproducing experiments. The aim of this workshop is to provide insight for the discussion of the major research challenges and achievements on various topics of interest. Papers on practical as well as on theoretical topics and problems in various topics related to cyber forensics and threat investigations are invited, with special emphasis on novel techniques and tools to collect data from networked devices and services in emerging infrastructures (such as the ones can be found in wireless and mobile computing, cloud/edge/fog computing, service-oriented architecture, cyber-physical systems, and Internet of things). Topics include (but are not limited to): ? Digital evidence search and seizure in emerging infrastructures ? Forensics soundness in emerging infrastructures ? Cybercrime investigation in emerging infrastructures ? Incident handling in emerging infrastructures ? eDiscovery in emerging infrastructures ? Forensics readiness in emerging infrastructures ? Challenges for digital investigations in emerging infrastructures ? Legal aspect of digital investigations in emerging infrastructures ? Tools and practices for digital investigations in emerging infrastructures ? Case studies related to digital investigations in emerging infrastructures ? digital investigations -as-a-Service ? Criminal profiling and reconstruction in the cloud ? Big data implications for digital investigations in emerging infrastructures ? Current and future trends for digital investigations in emerging infrastructures We also encourage contributions describing innovative work in the realm of cybersecurity, cyber defense, and digital crimes. Workshop Proceedings All accepted papers will be included in the Workshop Proceedings published by Springer Verlag in the Lecture Notes in Computer Science (LNCS) series. All papers in LNCS will also be indexed by Scopus and Engineering Village (Ei). This includes EI Compendex. All accepted papers will also be indexed in DBLP. https://cfati2.conceptechint.net/submissions.html Important dates Paper Submission: Extended September 20th , 2020 Camera Ready Due:: November 15, 2020 Authors Registration: November 25, 2020 (firm deadline) Submission Authors should submit their contributions electronically in PDF format https://easychair.org/conferences/?conf=cftic2020 Selective outstanding papers Outstanding papers presented at the workshop will have the opportunity to be invited to submit an extended version to: Electronics, Open Access Journal (IF: 1.764) by MDPI Applied Sciences, Open Access Journal (IF: 2.217) by MDPI Sensors, Open Access Journal (IF: 3.031) by MDPI All accepted authors will be eligible to submit an extended version in a fast track of: International Journal of Cyber Forensics and Advanced Threat Investigations (Open Access) For further details and updates please check the workshop website https://cfati2.conceptechint.net/contact.html From Gemma.DelasCuevas at uibk.ac.at Mon Sep 7 10:06:55 2020 From: Gemma.DelasCuevas at uibk.ac.at (De las Cuevas, Gemma) Date: Mon, 7 Sep 2020 14:06:55 +0000 Subject: Connectionists: 4 open positions at the University of Innsbruck, Austria Message-ID: Dear curator of the Connectionists mailing list, I am a physicist from the University of Innsbruck, Austria, seeking to hire people with a computer science or machine learning background. I am finding it hard to reach this community (I only get applications from physicists) and hence I thought I should post my job ad in your platform. Here is the ad: Gemma De las Cuevas is inviting applications to fill 2 PhD and 2 PostDoc positions in her group at the University of Innsbruck, Austria. The goal of the project is to bring together concepts of universality in physics, computer science and machine learning. For this reason, candidates should have a background in either physics, theoretical computer science or machine learning. For more information, see https://www.uibk.ac.at/th-physik/delascuevas_group/open-positions/ Please let me know if you require any more information from my side. Sincerely, Gemma De las Cuevas ? Gemma De las Cuevas Institute for Theoretical Physics University of Innsbruck, Austria Technikerstr. 21a (office 2S12), A-6020 Innsbruck Tel: +43 512 507 52247 Email: gemma.delascuevas at uibk.ac.at Personal website: www.gemmadelascuevas.com Group website: www.uibk.ac.at/th-physik/delascuevas_group/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From chhavi at nyu.edu Mon Sep 7 13:55:05 2020 From: chhavi at nyu.edu (Chhavi Yadav) Date: Mon, 7 Sep 2020 10:55:05 -0700 Subject: Connectionists: [CFP] ML-RSA Workshop @NeurIPS 2020 Message-ID: (Apologies for cross-postings) Call for papers: ML- Retrospectives, Surveys and Meta-Analyses (ML-RSA) Workshop at NeurIPS 2020 Virtual Workshop on 11th Dec 2020. Website: https://ml-retrospectives.github.io/neurips2020/ # Description The ML-Retrospectives, Surveys & Meta-Analyses @ NeurIPS 2020 Workshop is about reflecting on machine learning research. This workshop is a new edition of the previous Retrospectives Workshops at NeurIPS?19 and ICML?20 respectively. While earlier the focus of the workshop was primarily on Retrospectives, this time the focus is on surveys & meta-analyses. The enormous scale of research in AI has led to a myriad of publications. Surveys & Meta-Analyses meet the need of taking a step back and looking at a sub-field as a whole to evaluate actual progress. However, we will also accept retrospectives. We invite submissions from all subfields of ML. The 3 tracks are (for details check the CFP on website ): 1. Surveys 2. Meta-Analyses 3. Retrospectives # Submission instructions Submission Link : CMT Page Limit : None but we expect authors to be concise. Format : Anonymized NeurIPS 2020 style Final Submission Deadline : Oct 23, 2020 23:59 (Anywhere on Earth) Accept/Reject Notification : Oct 30, 2020 # Organizers Chhavi Yadav, UCSD Prabhu Pradhan, Max Planck Institute for Intelligent Systems (MPI-IS) Abhishek Gupta, Montreal AI Ethics Institute / Microsoft Peter Henderson, Stanford University Ryan Lowe, MILA / McGill University Jessica Forde, Brown University Jesse Dodge, CMU Mayoore Jaiswal, IBM Research Joelle Pineau, MILA / McGill University / Facebook AI -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Mon Sep 7 16:41:46 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Mon, 7 Sep 2020 22:41:46 +0200 Subject: Connectionists: Call for Participation - LP/CP Programming Contest 2020 Message-ID: <62ef3456-a92b-a8d3-6979-16095600d740@uniss.it> The traditional *LP/CP Programming Contest* will be run in virtual mode during *ICLP 2020* from *Monday 21 at 12:00* (CEST, UTC+2) and will last 24 hours. Do not miss the?opportunity to participate and prove your valor on one of the most awaited programming contest of the year. Teams of up to three participants will fight against five problems to?be solved by means of declarative programming. *Participation is open and free of charge*. Novelty of this edition: input and output will not be system-based, and a zero-knowledge protocol will be used to self-check correctness of solutions on the provided instances?before submission. Check the official page of the Contest for more details: https://tinyurl.com/lpcp-2020 -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 137652 bytes Desc: not available URL: From jkrichma at uci.edu Mon Sep 7 18:51:41 2020 From: jkrichma at uci.edu (Jeffrey Krichmar) Date: Mon, 7 Sep 2020 15:51:41 -0700 Subject: Connectionists: PhD Opportunities for the Cognitive Anteater Robotics Laboratory at UC Irvine Message-ID: <5A140FC2-DA4A-4A44-B19D-BF0CC70B2DE9@uci.edu> Dear Colleagues, We are recruiting PhD students for the Fall of 2021 in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine. Students will have the opportunity to work in the Cognitive Anteater Robotics Laboratory, which conducts research in assistive robotics, computational neuroscience, machine learning, neural networks, neuromorphic engineering and neurorobotics. Applicants should have a strong mathematical and computer programming background, as well as good communication skills. Current Federally funded projects include: ? Artificial Intelligence for Novelty Detection ? Cognitive Maps in Rats, Robots and Men ? Lifelong Learning Machines ? Sparse Predictive Coding for Efficient Visual Navigation More information about the lab, recent publications, software, and videos can be found at: ? http://www.socsci.uci.edu/~jkrichma ? https://www.youtube.com/user/cognitiveroboticsuci/videos Successful applicants will receive funding toward their Ph.D. for at least 5 years. Students interested in applying can contact me at: jkrichma at uci.edu Details about the graduate programs can be found at: ? https://www.cogsci.uci.edu/graduate/index.php ? https://www.ics.uci.edu/grad/admissions/index About UCI (www.uci.edu): In 1965, the University of California, Irvine was founded with a mission to catalyze the community and enhance lives through rigorous academics, cutting-edge research, and dedicated public service. Today, we draw on the unyielding spirit of our pioneering faculty, staff and students who arrived on campus with a dream to inspire change and generate new ideas. We believe that true progress is made when different perspectives come together to advance our understanding of the world around us. And we enlighten our communities and point the way to a better future. At UCI, we shine brighter. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From axel.soto at cs.uns.edu.ar Tue Sep 8 08:35:15 2020 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Tue, 08 Sep 2020 09:35:15 -0300 Subject: Connectionists: =?utf-8?q?Request_for_Proposals_=E2=80=94_Bid_on_?= =?utf-8?q?ACM_IUI_2023?= Message-ID: Request for Proposals ? Bid on ACM IUI 2023 --------------------------------------------------------------- Intelligent User Interfaces (IUI) is the premier conference series sponsored by ACM (SIGCHI and SIGAI) and has been held annually since 1993 as the principal international forum for reporting outstanding research and development on intelligent user interfaces. To involve the greater IUI community in conference organization and better plan for the conference, we request proposals for hosting and organizing IUI two years ahead of time. We regularly rotate the conference locations to engage with IUI research communities around the globe. Below shows the location and time of the three most recently scheduled IUI conferences: IUI 2020 (cancelled) Cagliari, Italy March 17-20 IUI 2021 College Station, Texas April 13-17 IUI 2022 Helsinki, Finland March 22-26 Why host IUI? There are several benefits of hosting and organizing an IUI conference. First, conference hosts/organizers have an opportunity to publicize their work, build relationships, and interact with the international IUI community. Second, this is a great opportunity for the organizers/hosts to introduce their students and colleagues to the IUI community and help grow the community as a whole. Third, hosts/organizers can use the opportunity to build local IUI communities, connecting representatives from both academia and industries. Bid Requirements All proposals must be written in English with a readable font not smaller than 12 point and margins not less than one inch on all sides. The proposal should address each aspect outlined below but not exceed 15000 characters (approx. 5-6 pages). Based on the merits of the proposals and factors such as ensuring a diversity of conference locations, the board will choose the top candidates and then a finalist will be chosen and announced at IUI 2021. Please note that the bid requirements have been modified from previous years. Please read the requirements below carefully before writing up your bid. Hosts/Organizers The conference hosts/organizers should have knowledge of the IUI community, such as having attended and published regularly at IUI, and have experience with conference organization. One of the main IUI goals is to bring together people from diverse backgrounds. For that reason, the bid proposal must suggest ONLY the conference general chairs. The IUI steering committee will work with the selected bid proposers on building the conference organizing team. We especially encourage that the key conference organizers consist of people from both industry and academia, representing both AI and HCI since the work presented at IUI is at the intersection of these disciplines. Please include short bios of the proposed conference general chair(s). Location Since IUI is an international forum, we expect that attendees will travel from different parts of the world to the conference location. It is important that the proposed location is conveniently located for all attendees to reach by available means of transportation. Time IUI conferences have been held at various times during late winter through early spring, most typically in March though earlier times will be considered. Your bid should include a proposed time with key dates (e.g., paper submission and notification). The choice of time should also take into account the weather conditions of the proposed location to avoid potential weather-caused travel delays and potential conflicts with other conferences and their submission deadlines. Please note that HRI 2023 will take place the week of March 20, 2023, and thus this week is not available for IUI 2023 bids. Virtual Attendance and the Impact of COVID-19 We hope that by the time of the 2023 conference that it will be possible to hold a physical conference similar to those held before 2020. Organizers should still prepare for decreased attendance and to offer virtual participation options for those who may not yet be comfortable traveling long distances. Conference Venue Please describe the proposed conference venue, including the following aspects: * Capacity. In recent years, IUI has typically had around 250 attendees, though IUI 2018 had a record high of over 350 participants and IUI 2019 had a similar number. No conference has been held since COVID, however current ACM recommendations are to anticipate a 30-40% decrease in attendance in the near term. IUI has typically taken place over four days, the first of which consists of workshops and tutorials hosted in parallel separate rooms (10-20 people). To encourage interaction among the attendees, during the main conference, it is also desirable to have additional space at the venue to put up IUI posters for the attendees to visit during coffee breaks. * Facilities. The venue should provide basic conference facilities, such as high speed internet access that can support the participants in parallel effectively and LCD projectors. * Location. The venue should be centrally located for attendees to reach quickly by ground transportation and have access to other amenities (e.g., restaurants). * Accessibility. The venue should be accessible to attendees with disabilities. * Reception and poster session dinner. Traditionally, IUI opens with a welcome reception on the night before the 1st day of the conference. The first night of the conference features a dinner reception with the poster and demo session. The location(s) of the receptions are not required to be co-located with the venue, however the location criterion above should still be used to minimize the travel for the attendees. * Social event. Traditionally, IUI has a social event + dinner on the second day of the main conference * Special events. Traditionally, during the conference the ?test of time? paper award is given to the most influential IUI paper, which is accompanied by a plenary talk session for its authors. TiiS papers published in the last year are also integrated into the technical program, there is a ?town hall meeting? where IUI community issues are discussed, and there is IUI steering committee lunch with current and upcoming conference and program chairs. These events need to be considered while planning the conference Accommodation Most attendees will need accommodation during the conference period. One of the responsibilities of the conference hosts/organizers is to locate and reserve a bulk of affordable lodging for attendees. Please describe the proposed accommodation options, including the price range of the hotel rooms and the distance to the main venue. Provisionary Budget Plan The proposal should also include a provisional budget, outlining the cost of major items, including the rental of the conference venue, cost/per person for the reception and banquet, and the estimated conference registration fee. Please consider including meals for participants in the budget, especially if there are limited food options near the conference venue. Important Dates Jan 8, 2021: Bids are due. Please submit your bid to steering-chair at iui.acm.org Feb 5, 2021: Notifications are sent to all submissions. For further information, please contact: jeff at jeffreynichols.com From Donald.Adjeroh at mail.wvu.edu Tue Sep 8 13:18:14 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 8 Sep 2020 17:18:14 +0000 Subject: Connectionists: SBP-BRiMS'2020 -- Call for Participation In-Reply-To: References: , , , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies Conference Registration: Registration is now open for the 2020 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Oct. 18-21, 2020. Conference format is virtual/online. You can register at the website: http://sbp-brims.org/2020/registration/ Conference Fellowships: A limited number of fellowships is available for students and members of underrepresented groups to support participation in the conference. Please apply early as the slots are limited. For more details, visit the conference website http://sbp-brims.org/ , and check the menu for Scholarships, under "Conference Information". Keynote: Barry G. Silverman, PhD Professor Emeritus, Electrical and Systems Engineering, University of Pennsylvania https://www.seas.upenn.edu/~barryg/ Topic: StateSim: A Country Modeling and Systems Engineering Journey For more details, see the website: http://sbp-brims.org/2020/keynote/ Two New Special Tracks: Validation Track: For details, see the CFP at the conference website: http://sbp-brims.org/ COVID-19 Pandemic Track: For details, see the CFP at the conference website: http://sbp-brims.org/ Special Issues : Special issues are planned for selected papers from the main conference, and for the COVID-19 special track. Deadline for submission for Journal Special Issues: Nov. 15, 2020 SBP-BRiMS 2020 Oct. 19 - 21| Online/virtual www.sbp-brims.org Connect with #sbpbrims on social: Follow us on Twitter: http://twitter.com/sbpbrims Like us on Facebook: http://facebook.com/sbpbrims Follow us on LinkedIn: https://www.linkedin.com/company/sbpbrims/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From marin.vlastelica at tue.mpg.de Tue Sep 8 18:34:41 2020 From: marin.vlastelica at tue.mpg.de (Marin Vlastelica) Date: Wed, 9 Sep 2020 00:34:41 +0200 Subject: Connectionists: Learning Meets Combinatorial Algorithms Workshop at NeurIPS2020 In-Reply-To: References: Message-ID: <22644a70-e45b-b45d-5195-9010f82f2922@tue.mpg.de> Dear colleagues, we are accepting abstract submissions for the Learning Meets Combinatorial Algorithms(LMCA) workshop at NeurIPS2020. Submission instructions (deadline Oct 05 2020 11:59PM UTC) can be found on the workshop website: https://sites.google.com/view/lmca2020 along with the list of invited speakers. Why this workshop? Machine learning algorithms have been shown to generalize poorly on combinatorially demanding tasks. Recent research has demonstrated that merging combinatorial optimization with machine learning methods enables solving problems that require non-trivial combinatorial generalization beyond pattern matching. In this spirit, this workshop aims to bring the communities (machine learning and combinatorial optimization, operations research) together in order to motivate further research at the intersection. This involves: ?* Machine learning approaches aimed at improving combinatorial ?? algorithms/solvers. ?* Machine learning techniques to directly learn solvers for ?? combinatorial problems. ?* Hybrid architectures; pipelines containing both ?? algorithmic/combinatorial and standard NN building blocks. ?* Applications of the above. Kind regards, Marin Vlastelica -------------- next part -------------- An HTML attachment was scrubbed... URL: From mail at mkaiser.de Wed Sep 9 04:23:47 2020 From: mail at mkaiser.de (Marcus Kaiser) Date: Wed, 9 Sep 2020 09:23:47 +0100 Subject: Connectionists: New book 'Changing Connectomes' (MIT Press) Message-ID: Dear all, My book on Connectome organization and development has now been published. The book gives an up-to-date overview of the field of connectomics, introducing concepts and mechanisms underlying brain network change at different stages. >From the synopsis: ?This book provides an overview of network features of the brain, how these features emerge during evolution and brain development, and how alterations ranging from normal aging to developmental and neurodegenerative disorders affect brain networks. By including an introduction to concepts of network analysis, it will also be accessible to researchers who are new to the field of connectomics. Finally, through Matlab code examples, it will allow researchers to understand and extend the shown mechanisms of connectome development.? In case you're interested, the book is on sale on with Amazon and other booksellers: Amazon USA: https://t.co/ju0gtVANOQ Amazon UK: https://t.co/Oqqiu0tG4r Amazon Germany: https://t.co/JuvIfhSNfc Other booksellers: https://mitpress.mit.edu/books/changing-connectomes Best, Marcus -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group, School of Computing, Newcastle University, UK Guanci Visiting Professor Shanghai Jiao Tong University, Rui Jin Hospital, Functional Neurosurgery Unit, China Book: Changing Connectomes https://mitpress.mit.edu/books/changing-connectomes Lab website: http://www.dynamic-connectome.org/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Sep 9 06:13:42 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 9 Sep 2020 12:13:42 +0200 Subject: Connectionists: COMPLEX NETWORKS 2020 SUBMISSION DEADLINE SEPTEMBER 13, 2020 Message-ID: **COVID-19 UPDATE: Due to the uncertainty about sanitary measures and travel restrictions in many countries, COMPLEX NETWORKS 2020 is planned fully online. Registration fees will be adjusted accordingly**. (**Apologies for any cross posting)* *Ninth** International Conference on Complex Networks & Their Applications* *Madrid, Spain December 1- 3, 2020* http://www.complexnetworks.org You are cordially invited to submit your contribution until *September 13, 2020 **FIRM DEADLINE*. *Speakers * ? Leman Akogu Carnegie Mellon University, USA ? Stefano Boccaletti ISC CNR, Italy ? Fosca Giannotti KDD Lab Pisa, Italy ? J?nos Kert?sz Central European University Hungary ? Vito Latora Queen Mary, University of London UK ? Alex ?Sandy? Pentland MIT Media Lab, USA ? Nata?a Pr?ulj Barcelona Supercomputing Center Spain *Tutorials** (**November 30, 2020**)* ? David Garcia Complexity Science Hub Vienna Austria ? Mikko Kivel? Aalto University Finland *Conference publications* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome*.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* *Post-conference publications* Extended versions of unpublished contributions (papers & abstracts) will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Complex Systems o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o PLOS one o Social Network Analysis and Mining edited by Springer *Topics * include, but are not limited to o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *General Chairs* Rosa Maria Benito *Universidad Politecnica de Madrid, Spain* Hocine Cherifi *University of Burgundy, France* Esteban Moro *Universidad Carlos III de Madrid, Spain* *Join us at *: COMPLEX NETWORKS 2020 Madrid Spain *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From compsens at medizin.uni-tuebingen.de Wed Sep 9 07:28:50 2020 From: compsens at medizin.uni-tuebingen.de (Compsens) Date: Wed, 09 Sep 2020 13:28:50 +0200 Subject: Connectionists: =?utf-8?q?PhD_Student_/_Postdoc_positions_in_Theo?= =?utf-8?q?retical_Neuroscience=2C_University_of_T=C3=BCbingen?= In-Reply-To: <20200824130646.Horde.Ep9jneDDMwgkhfM6KweL8kV@webmail.uni-tuebingen.de> Message-ID: <20200909132850.Horde.WbZCaecYzWcuAhTJXsXy0U7@webmail.uni-tuebingen.de> PhD Student / Postdoc positions in Theoretical Neuroscience, Hertie Institute for Clinical Brain Research / Center for Integrative Neuroscience, University of T?bingen The positions are part of the ERC-Synergy grant RELEVANCE that investigates the neural and computational processing of bodies, which is realized in collaboration with the Universities of Leuven and Maastricht. The project aims at the investigation of the computational neural mechanisms of the visual processing of social stimuli, combining theoretical modeling with experimental research in physiology and imaging in humans as well as in animal models (realized by the other partners). The theoretical work will combine neural network modeling, machine learning, and advanced methods for stimulus control from computer graphics. We are looking for individuals with an interest, or possibly even partial expertise in one or multiple of the following areas: - physiologically-inspired neural modeling or neural data analysis - deep learning, biologically-inspired neural networks - machine learning with applications in cognitive science - motion capture and tracking - computer animation, virtual reality, game engines (e.g. Unreal, Unity) In addition, we are looking for individuals with interest to develop computer-animation or virtual reality technology for non-standard applications. Successful students / postdocs will be integrated in the research taking place in the Section for Computational Sensomotorics (http://www.compsens.uni-tuebingen.de/), which is part of the Dept. of Cognitive Neurology. The group works on neural modeling, machine learning techniques related to social recognition, computer animation, and human motion modeling, e.g. realizing highly-realistic avatars and VR applications for experiments in neuroscience and clinical research. The group is part of the CyberValley initiative (https://cyber-valley.de/) that links groups related to machine learning and industry applications in T?bingen. Talented students will have the opportunity to pursue a PhD in the International Max Planck Research Schools or for ?Mechanisms of Mental Function and Dysfunction? at the Graduate Training Center for Neuroscience (https://www.neuroschool-tuebingen.de/), or at the International Max Planck Research School for Intelligent Systems (https://imprs.is.mpg.de/). Requirements: Candidates should have a (research) master degree in one of the following disciplines: (Biomedical) Engineering, Computer Science, (Cognitive) Neuroscience, Mathematics, Physics, or Computer Animation/Visual Effects. In addition to these requirements, candidates should have a theoretical interest in the area of visual neuroscience, and experience with scientific programming (Matlab, Python, or any other language), as well as basic programing languages such as C++. Additional information: Section for Computational Sensomotorics, Dept. for Cognitive Neurology, Hertie Institute for Clinical Brain Research & Centre for Integrative Neuroscience, University Clinic T?bingen. Email: martin.giese at uni-tuebingen.de. Web: http://www.compsens.uni-tuebingen.de/ From pablo.alvesdebarros at iit.it Wed Sep 9 08:41:39 2020 From: pablo.alvesdebarros at iit.it (Pablo Vinicius Alves De Barros) Date: Wed, 9 Sep 2020 12:41:39 +0000 Subject: Connectionists: CFP Frontiers Research Topic: Affective Shared Perception Message-ID: Call For Papers - Frontiers Research Topic: Affective Shared Perception I. Aim and Scope Our perception of the world depends on both sensory inputs and prior knowledge. This applies in general to sensing and has particular implications for affective understanding. Humans adapt their social and affective perception as a function of the current stimulation, of the context, of the history of the interaction, and as of the status of the partner. This influences their behavior, which in turn modifies the social and affective perception of both partners and the evolution of the interaction. Understanding shared perception as part of affective processing will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this research topic is to present and discuss new findings, theories, systems, and trends in affective shared perception and computational models. We are interested in collecting interesting and exciting research from researchers on the areas of social cognition, affective computing, and human-robot interaction, including also, but not restricted to specialists in computer and cognitive science, psychologists, neuroscientists, and specialists in bio-inspired solutions. We envision that it will allow us to tackle the existing problems in this area and it will provide the next step towards a real-world affective computing system. II. Potential Topics Topics include, but are not limited to: - Affective perception and learning - Affective modulation and decision making - Developmental perspectives of shared perception - Machine learning for shared perception - Bio-inspired approaches for affective shared perception - Affective processing for embodied and cognitive robots - Multisensory modeling for conflict resolution in shared perception - New psychological findings on shared perception - Assistive aspects and applications of shared affective perception III. Submission - Abstract - 24 October 2020 - Paper Submission - 21 February 2021 IV. Guest Editors Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, Italy Ginevra Castellano, Uppsala University, Uppsala, Sweden Yukie Nagai, The University of Tokyo, Bunky?, Japan ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia ? Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros at iit.it website: https://www.pablobarros.net twitter: @PBarros_br -------------- next part -------------- An HTML attachment was scrubbed... URL: From shabnam.kadir at gmail.com Wed Sep 9 09:24:33 2020 From: shabnam.kadir at gmail.com (Shabnam Kadir) Date: Wed, 9 Sep 2020 14:24:33 +0100 Subject: Connectionists: PhD studentship in Computational and Cognitive Neuroscience Message-ID: *PhD in Computational & Cognitive Neuroscience, University of Hertfordshire, UK* An exciting full-time funded PhD opportunity has arisen at the University of Hertfordshire associated to a collaborative project with King?s College London and Brunel University London funded by the US Air Force. The project aims to build an explorative and predictive model of the brain that is sensitive to the transitions between sustained attention and mind-wandering states using an already collected simultaneously acquired EEG/fMRI dataset. Towards this goal, novel methods for characterizing, sequencing, and predicting neural dynamics at two complementary spatio-temporal resolution levels will be developed: level 1) electroencephalography (EEG) microstates, which are short quasi-stable topographies of brain electrical activity as measured at the scalp; and level 2) functional connectivity maps derived from the functional Magnetic Resonance Imaging (fMRI) data. *Requirements* We are seeking to appoint a graduate in Computer Science, Bioengineering, Physics, Mathematics, Neuroscience, or related fields, with an interest in cognitive neuroscience and neuroimaging, who has proven programming skills (e.g., Python, Matlab, C++). Knowledge of signal processing, time-series analysis, and machine learning would be an advantage. Previous experience of EEG and/or fMRI data analysis is highly desirable. The 3-year full-time PhD studentship includes a stipend of ?15,285 per annum in addition to covering tuition fees. *Only EU and UK citizens are eligible to apply.* The start date of the PhD will be January 2021. The PhD will be supervised by *Dr Shabnam Kadir* (University of Hertfordshire), *Dr Elena Antonova* (Brunel University London), *Prof Robert Leech* (Institute of Psychiatry, Psychology and Neuroscience, King?s College London), and *Prof Chrystopher Nehaniv* (University of Hertfordshire, United Kingdom, and University of Waterloo, Ontario, Canada). Interested candidates are encouraged to make informal inquiries with *Dr Shabnam Kadir* (s.kadir2 at herts.ac.uk) before making a formal application. Full details available here: http://biocomputation.herts.ac.uk/2020/08/25/phd-in-computational-cognitive-neuroscience.html To apply, submit an application form (downloadable from https://www.herts.ac.uk/__data/assets/pdf_file/0010/31105/uh-application-form.pdf) together with a cover letter, CV, and scanned copies of university transcripts and degree certificates (BSc, and if relevant MSc) via email to doctoralcollegeadmissions at herts.ac.uk, cc-ing Dr Kadir on s.kadir2 at herts.ac.uk and Dr Antonova on elena.antonova at brunel.ac.uk *Closing Date for the applications: 28 September 2020.* -- ---------------------------------------------------------------------------------------------------------------- Dr. Shabnam Kadir Senior Lecturer School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, United Kingdom. Tel. +44 1707 284641 ---------------------------------------------------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From cognitivium at sciencebeam.com Wed Sep 9 10:30:56 2020 From: cognitivium at sciencebeam.com (Maryam) Date: Wed, 9 Sep 2020 19:00:56 +0430 Subject: Connectionists: WEBINAR on "How multi-variate pattern analysis of brainactivitycanbe used to study human cognition" Message-ID: <202009091431.089EUwja046686@scs-mx-02.andrew.cmu.edu> Dear researchers; It is a great pleasure to announce the upcoming webinar organized by ScienceBeam company. Please also share with interested students and colleagues. Topic: "How multi-variate pattern analysis of brain activity can be used to study human cognition" Time: September 22, 2020, 9:00 AM. CET Speaker: Dr. Hamid Karimi Rouzbahani Postdoctoral Researcher in Computational & Cognitive Neuroscience Macquarie University Highlights: ? Basics of Multi-variate pattern analysis (MVPA) ? Basics of Representational Similarity Analysis (RSA) ? Spatiotemporal dynamics of face familiarity spectrum in the brain ? Neural correlates of vigilance decrement can predict forthcoming behavioral error Save your seat via the link below: https://sciencebeam.com/multi-variate-pattern-analysis-webinar/ If you need more information please contact us: workshop at sciencebeam.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Wed Sep 9 13:53:06 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Wed, 9 Sep 2020 19:53:06 +0200 Subject: Connectionists: ATTENTION: NEW DATES - Call for tutorial and workshop proposals for SIAM International Conference on Data Mining (SDM21) Message-ID: An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Wed Sep 9 13:51:50 2020 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Wed, 9 Sep 2020 19:51:50 +0200 Subject: Connectionists: ATTENTION: NEW DATES - Call for paper submissions for SIAM International Conference on Data Mining (SDM21) Message-ID: An HTML attachment was scrubbed... URL: From nicholas.cummins at ieee.org Wed Sep 9 15:13:10 2020 From: nicholas.cummins at ieee.org (Nicholas Cummins) Date: Wed, 9 Sep 2020 21:13:10 +0200 Subject: Connectionists: ICMI-2020: Call for Participation Message-ID: Call for Participation ********************** ICMI2020: The 22nd ACM International Conference on Multimodal Interaction http://icmi.acm.org/2020/ 25-29 Oct 2020, Location: online ********************** For full registration details and pricing see http://icmi.acm.org/2020/index.php?id=registration Early registration deadline: 20 September 2020 Full conference - ACM/SIG Members: ?100, Non-members: ?125, Students: ?60 Workshop-only - ACM/SIG Members: ?50, Non-members: ?65, Students: ?35 Late registration deadline: 21 October 2020 Full conference - ACM/SIG Members: ?125, Non-members: ?150, Students: ?75 Workshops-only - ACM/SIG Members: ?75, Non-members: ?90, Students: ?50 ********************** Dear all, We kindly invite you to the 22nd ACM International Conference on Multimodal Interaction. ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction analysis, interface design, and system development. We moved from an event initially to be held in a church in Utrecht, the Netherlands to an online event. The conference is fully packed with quality papers and we are very happy to be able to offer you the following events and speakers. Highlights include: Keynotes: - "From hands to brains: How does human body talk, think and interact in face-to-face language use?" by Prof.dr. Asli Ozyurek (Donders Institute for Brain, Cognition and Behavior, Radboud University) - "Deep Learning for Joint Vision and Language Understanding" by Prof.dr. Kate Saenko (Boston University, MIT-IBM Watson AI Lab) - "Sonic Interaction: From gesture to immersion" by Prof.dr. Atau Tanaka (Goldsmiths University of London) - "Human-centered Multimodal Machine Intelligence" by Prof.dr. Shrikanth (Shri) Narayanan (University of Southern California) Paper sessions: - More than 80 Long/short papers, more than 20 Late Breaking Reports, more than 10 Doctoral Consortium papers, 5 Demo papers Workshops: - Action Modelling for Interaction and Analysis in Smart Sports and Physical Education - Bridging social sciences and AI for understanding child behaviour - International Workshop on Deep Video Understanding - Face and Gesture Analysis for Health Informatics - Insights on Group & Team Dynamics - Modeling Socio-Emotional and Cognitive Processes from Multimodal Data in the Wild - Multisensory Approaches to Human-Food Interaction - Oral History and Technology - Multimodal Affect and Aesthetic Experience - Multimodal Interaction in Psychopathology - Multimodal e-Coaches - Social affective multimodal interaction for health - Multi-Timescale Sensitive Movement Technologies Grand Challenge: - Eighth Emotion Recognition in the Wild Challenge For a tentative global program and how we intend to organize the events and paper sessions, please check http://icmi.acm.org/2020/index.php?id=program. Come join ICMI2020 and meet us online 25-29 Oct 2020! Best, the organizing team of ICMI2020. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Sep 10 04:46:06 2020 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 10 Sep 2020 11:46:06 +0300 Subject: Connectionists: Call for participation in "E-workshop on GANs for Media Content Generation", October 1st, 2020 References: <004201d68745$47b22a00$d7167e00$@csd.auth.gr> Message-ID: <11c101d6874e$d3537830$79fa6890$@csd.auth.gr> Dear AI and/or Digital Media enthusiasts, you are welcome to attend FOR FREE the "e-Workshop on GANs for Media Content Generation", on October 1st, 2020, in the framework of EU-funded H2020 R&D project AI4Media: https://ai4media.eu. Generative Adversarial Networks (GANs) are part of the cutting edge in recent machine learning research. Trained by exploiting the interplay between a generative and a discriminative deep neural network, GANs are able to implicitly model the data distribution, thus allowing us to generate realistic data samples after model training is complete. The Digital Media sector is perhaps the greatest beneficiary of GAN-based algorithms, with industry-relevant research already taking advantage of their potential. They are useful for a wide range of media-related applications, such as image-to-image translation, optical recognition enhancement, text-to-speech systems, music/image/video generation, video summarization, image anonymization and many others, frequently giving rise to state-of-the-art results. On the negative side, the rise of so-called "deep fakes" poses significant new challanges, both ethical and technical, thus making the development of methods to robustly detect them a top priority. Overall, GANs hold the key to revolutionizing the way we produce media and arts content. The AI4Media project focuses on building a network of research excellence that will deliver the next generation of core AI advances to serve the key sector of Media. In this context, this Workshop is meant to disseminate knowledge regarding GAN-based state-of-the-art for media content generation and for fake media detection. The workshop lectures are at CS/ECE/EE graduate level. MSc/PhD/Postodoc researchers are particularly welcomed from Europe and around the world. The lectures will be presented live by senior or Postdoc researchers from several AI4Media consortium members and collaborators across Europe. You can attend using Webex, accessed nthrough the Workshop website: https://ai4media.eu/events/gan-media-generation-workshop-oct-2020/ E-workshop program (CEST time-zone): -10:00 - 10:15 Welcome -10:15 - 10:30 Yiannis Kompatsiaris Centre for Research and Technology Centre Hellas (CERTH-ITI) "Introduction to AI4Media Project" -10:30 - 11:10 Marta Mrak, BBC R&D, "Learning to Predict Pixels Using AI for Content Enhancement and Delivery" -11:10 - 11:30 Ioannis Mademlis, Aristotle University of Thessaloniki (AUTH) "An Overview of GANs for Media Production" -11:30 - 11:50 Vasileios Mezaris, Centre for Research and Technology Hellas (CERTH-ITI) "GAN-based Video Summarization" -11:50 - 12:10 Break -12:10 - 12:30 Nicu Sebe, University of Trento (UNITN) "Human Image and Video Generation/Animation" -12:30 - 12:50 Symeon Papadopoulos Centre for Research and Technology Hellas (CERTH-ITI) "Deepfake and Synthetic Media Detection" -12:50 - 13:10 Vasileios Mygdalis Aristotle University of Thessaloniki (AUTH) "Adversarial Face De-identification for Privacy Protection" -13:10 - 13:50 Luisa Verdoliva, University of Naples Federico II (UNINA), "Major Challenges in the Detection of Synthetic Media and Deepfakes" -13:50 - 14:10 Closing remarks This event is the first activity of the upcoming International AI Doctoral Academy (IAIDA) put forward by AI4Media. Stay tuned at: https://ai4media.eu and https://twitter.com/AI4Media_EU Till IAIDA creates its own communication channels (very soon), you may want to register to the CVML email list, where certainly all related messages will be posted, following instructions in https://lists.auth.gr/sympa/info/cvml Sincerely yours, Dr. I. Kompatsiaris, CERTH-ITI, AI4Media Coordinator, Prof. I. Pitas, AUTH, AI4Media Doctoral Studies coordinator From angelo.ciaramella at uniparthenope.it Thu Sep 10 04:06:21 2020 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Thu, 10 Sep 2020 10:06:21 +0200 Subject: Connectionists: Call for applications for Ph.D. positions in Computational and Quantitative Biology Message-ID: <20200910100621.Horde.jIgg0MNejDOuSZ53YpiFwEe@webmail.uniparthenope.it> Dear the deadline of the call for applications for Ph.D. positions in Computational and Quantitative Biology is approaching. The deadline is September 10th 2020 12:00 (Rome time). The call is available at https://cqb.dieti.unina.it/index.php/prospective-students/how-to-apply The application form is accessible at this address. Further information is available at https://cqb.dieti.unina.it/ Sincerely, Angelo Ciaramella From biaswatchneuro at gmail.com Thu Sep 10 11:39:13 2020 From: biaswatchneuro at gmail.com (Bias WatchNeuro) Date: Thu, 10 Sep 2020 11:39:13 -0400 Subject: Connectionists: Deadline Extension for BiasWatchNeuro Award for Equity and Inclusivity Message-ID: *Deadline extension:* Nomination letters for the BiasWatchNeuro Award for Equity and Inclusivity will be accepted *through September 15th*! Please see biaswatchneuro.com/bwn-award Diverse voices and ideas deserve to be heard equitably in science. Since 2015, BiasWatchNeuro has worked to increase the representation of women in neuroscience and related fields, emphasizing in particular the representation of women as invited speakers at conferences. However, women are not the only group that is confronted with implicit biases and systemic obstacles in science. Minoritized groups are severely underrepresented at every level of the academic career path ? from undergraduate education to faculty. Attempts to diversify departments have increased, but the reality is that many universities and institutions still embody and perpetuate both the historical influence of being established by men of privilege, and the persisting effects of systemic racism in our society. Even as more diverse student bodies are recruited, the culture in many departments and institutions is not welcoming to and supportive of those that belong to minoritized groups. Intersectionality adds another layer of disadvantage, with minoritized women being especially underrepresented and unsupported. *It is time to change this reality and build a new one, in our departments and institutions. Black scientists matter. Latinx scientists matter. LGBTQAI+ scientists matter. First generation scientists matter. Low income scientists matter. Intersectionality matters.* BiasWatchNeuro is excited to announce a new Annual Award for Equity and Inclusivity, awarded to a neuroscience or neuroscience-related department, institute or program that demonstrates the exceptional creation of a culture where individuals underrepresented and/or marginalized in STEM feel integral to the community and thrive. We recognize that no department/institute/program is perfect*. However, some are doing much better than others, and should be recognized for this. Nomination letters for winners and runner ups will be made public (without the list of signatories, which will remain confidential), to showcase successful methods for creating an inclusive and equitable culture, and to provide prospective trainees at all levels with information that can inform their decisions of where to apply to. We hope that this will help us all improve our practices and move toward a day in which all neuroscientists feel seen, respected, and supported. *Nominations for the 2020 award will be accepted through September 15, 2020. Awards will be announced in late September. * Letter of nomination signed by one or more trainees (current and/or alumni; including post-bacc/RAs; faculty cannot nominate their current program) should be sent to biaswatchneuro at gmail.com. Letters should describe in detail specific actions and elements that promote inclusivity and equity, and their impact on underrepresented/marginalized groups. More than one letter and/or letters with multiple signatories will be viewed favorably. Names of the nominating people will remain confidential and will not be seen by anyone except a small award committee, who are committed to confidentiality. The letter itself will be made public only with permission and after redactions as warranted to maintain the confidentiality of the nominators. ????? * We are aware that many institutions are in the midst of a process to increase equity and inclusivity in their departments, institutes and programs, and have not yet reached close to their desired goal. However, the aim of this award ? and the nomination letters ? is to highlight methods and efforts that are effective, even while realizing that more work needs to be done. *Please consider nominating your department/institute/program not because they are perfect, but because some of what they are doing can be helpful for others to know about.* We also encourage nominations of units for the work of *individuals, committees or groups within them* ? even if the unit as a whole has not yet moved the needle as much as one would have hoped for. If this is the case in your institution, please note in your nomination letter the subgroups or individuals who are the strand bearers and should be highlighted by the award. *Please make your nomination letters as specific as possible by highlighting the activities that have been successful or are underway*, for instance (but not limited to) - Having an active inclusive teaching committee - Encouraging faculty to undergo syllabus review - Making sure there are regular safe spaces (e.g., a weekly chat) to talk about issues of climate and inclusion - Investing in trainee and faculty recruitment and retention to enhance departmental diversity - Organizing read-ins for faculty to discuss books on social and racial justice - Organizing a diversity-related journal club etc. We emphasize that any winner of the award will be congratulated for what they have done so far?but expected to do more in the future. The award is for one year only, and next year the institution will have to compete for it again. As we all improve our practices, the standards for winning will increase. That is the goal of this award ? to catalyze a process. -------------- next part -------------- An HTML attachment was scrubbed... URL: From qobi at purdue.edu Thu Sep 10 13:46:15 2020 From: qobi at purdue.edu (Jeffrey Mark Siskind) Date: Thu, 10 Sep 2020 13:46:15 -0400 Subject: Connectionists: seeking PhD students interested in fMRI & EEG studies of language/vision Message-ID: I am looking to recruit several PhD students to work on neuroimaging studies of the vision-language interface. The studies will involve designing and conducting fMRI and EEG experiments with image, video, text, and speech stimuli and designing and implementing novel machine-learning methods for data analysis. Candidates should have either a strong neuroscience or computer science/engineering undergraduate degree. If the former, you should have strong math and programming skills and be able to design and implement new machine-learning models. If the latter, you should ideally have prior experience designing and conducting experiments experiments in the natural sciences and have a strong desire to learn how to conduct neuroimaging experiments. I seek primarily to hire students who wish to pursue an academic career in computational neuroscience. The expectation is that students will publish results throughout their PhD studies. The RAships will be in the Purdue School of Electrical and Computer Engineering so candidates must meet the acceptance standards and have the background to be able to fulfill the PhD program requirements. Potential applicants should send a letter of interest to me including a cover letter, CV, transcripts, and GRE scores. The cover letter should describe your neuroscience and or computer science/engineering background and qualifications, career goals, and what you would like to accomplish during your PhD studies. A letter of interest would be strengthened by including a brief description of any prior research you conducted along with references to any published work. While there is no hard deadline for the letter of intent, it will need to be followed up with a formal application due 15 December 2020. I intend to review letters of intent on a rolling basis until mid November and give suitable candidates feedback prior to mid November to guide the formal application process. Send materials to: Jeffrey Mark Siskind qobi at purdue.edu Jeff (http: //engineering.purdue.edu/~qobi) From michael.c.kampffmeyer at uit.no Fri Sep 11 03:33:20 2020 From: michael.c.kampffmeyer at uit.no (Michael Kampffmeyer) Date: Fri, 11 Sep 2020 07:33:20 +0000 Subject: Connectionists: 4-year fully funded PhD position in the Machine Learning Group at UiT The Arctic University of Norway working on ML for antimicrobial resistance Message-ID: Open 4-year fully funded PhD position in the Machine Learning Group at UiT The Arctic University of Norway. We are seeking a PhD Fellow to take an active role in the group's research on developing novel machine learning methodology for prediction of targets overrepresented in the genomes of problematic antimicrobial resistant bacteria. We are particularly seeking a candidate that has a machine learning background and is familiar with traditional techniques such as random forests and linear regression (for instance, Lasso and elastic nets) as well as deep learning. The successful candidate will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections. For details, please see: https://www.jobbnorge.no/en/available-jobs/job/191963/phd-fellow-in-machine-learning-for-antimicrobial-resistance Please contact me (michael.c.kampffmeyer at uit.no) for more info. Best, Michael -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Fri Sep 11 05:38:57 2020 From: junfeng989 at gmail.com (Jun Feng) Date: Fri, 11 Sep 2020 17:38:57 +0800 Subject: Connectionists: [** Virtual **][** 14+ Special Issues **][Submission Deadline: Sep. 25] CFP IEEE DependSys 2020: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications, Dec. 14-16 Message-ID: [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (IEEE DependSys 2020), 14-16 December 2020 [** Virtual **][** 14+ Special Issues **][Submission Deadline: Sep. 25] http://cse.stfx.ca/~dependsys/2020/index.html **NEWS** The IEEE DependSys 2020 Conference was planned to be held in Fiji, December 14-16, 2020. Given the COVID-19 pandemic and associated travel restrictions, as the safety of people is of the highest priority, the conference will be held virtually on December 14-16, 2020. IEEE DependSys 2020 conference is the 6th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2020 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 14+ SCI & EI indexed prestigious journals (confirmed). 1. Information Fusion (IF: 13.669) SI on Fusion from Big Data to Smart Data https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-fusion-from-big-data-to-smart-data 2. Information Fusion (IF: 13.669) SI on Data Fusion for Trust Evaluation https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-data-fusion-for-trust-evaluation 3. IEEE Transactions on Industrial Informatics (IF: 9.112) SI on Digital Twinning: Integration AI-ML and Big Data Analytics for Virtual Representation http://www.ieee-ies.org/images/files/tii/ss/2020/Digital_Twinning_Integrating_AI-ML_and_Big_Data_Analytics_for_Virtual_Representation_2020-4-30.pdf 4. Future Generation Computer Systems (IF: 6.125) SI on Artificial Intelligence for Cyber Defence and Smart Policing https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/artificial-intelligence-for-cyber-defence-and-smart-policing 5. Digital Communications and Networks (IF: 5.382) SI on Blockchain-enabled Technologies for Cyber-Physical Systems and Big Data Applications http://www.keaipublishing.com/en/journals/digital-communications-and-networks/call-for-papers/blockchainenabled-technologies-for-cyberphysica/ 6. IEEE Transactions on Network Science and Engineering (IF: 5.213) SI on Computing and Networking for Cyber-Physical-Social Systems https://www.comsoc.org/publications/journals/ieee-tnse/cfp/computing-and-networking-cyber-physical-social-systems 7. IEEE/CAA Journal of Automatics Sinica (IF: 5.129) SI on Blockchain for Internet-of-Things and Cyber-Physical Systems: Emerging Trends, Issues and Challenges http://www.ieee-jas.org/news/news_en/9248195c-6d90-4868-9962-263ed9ba12f3_en.htm 8. Neurocomputing (IF: 4.438) SI on Edge Intelligence: Neurocomputing Meets Edge Computing https://www.journals.elsevier.com/neurocomputing/call-for-papers/edge-intelligence-neurocomputing-meets-edge-computing 9. IEEE Access (IF: 3.745) SI on Reliability in Sensor-Cloud Systems and Applications (SCSA) https://ieeeaccess.ieee.org/special-sections/reliability-in-sensor-cloud-systems-and-applications-scsa/ 10. Journal of Cloud Computing (IF: 2.788) SI on Security and Privacy Issues for AI in Edge-Cloud Computing https://journalofcloudcomputing.springeropen.com/securityprivacyaiedgecloud?from=singlemessage 11. Journal of Systems Architecture (IF: 2.552) SI on Ubiquitous Edge Computing for Next Generation IoT and 6G: Architecture, Modelling and Systems https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/ubiquitous-edge-computing-for-next-generation 12. Journal of Systems Architecture (IF: 2.552) SI on High-Performance-Computing-Communications for Cyber-Physical-Social Systems https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/high-performance-computing-communications 13. MDPI Electronics (IF: 2.412) SI on Blockchain-based Technology for Mobile Application https://www.mdpi.com/journal/electronics/special_issues/BTMA 14. Software: Practice and Experience SI on Software and Hardware Co-Design for Sustainable Cyber-Physical Systems https://onlinelibrary.wiley.com/pb-assets/assets/page/journal/1097024x/SI_softandhard.pdf * More special issues will be added later. ================== Important Dates ================== Submission Deadline (Hard): 25 September 2020 Authors Notification Date: 25 October 2020 Final Manuscript Due: 15 November 2020 Conference Date: 14-16 December 2020 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N27703) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Mohammad Zulkernine, Queen's University, Canada - Aniello Castiglione, University of Naples Parthenope, Italy - Alireza Jolfaei, Macquarie University, Australia Program Chairs - Salimur Choudhury, Lakehead University, Canada - Qinghua Lu, CSIRO, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Fiji, Fiji - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Fri Sep 11 04:11:34 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Fri, 11 Sep 2020 10:11:34 +0200 Subject: Connectionists: [ICLP 2020] Autumn School on Logic and Constraint Programming - Last Call for Participation Message-ID: [Apologies for cross-posting] [Please redistribute] The organization of the *Autumn School on Logic and Constraint Programming* invites you to participate in this year?s school (September, 18-19, virtually in Calabria), co-located with ICLP. It promises to be an interesting session -- for students, as well as for more senior researchers -- in which Marc Denecker discusses the *informal semantics* of logic programs (is negation-as-failure actually classical?), Peter Stuckey takes on the role of Trojan horse, convincing us to use *Minizinc* instead of logic programming, Martin Gebser provides unique insights in the magic he uses for tackling *industrial applications* with answer set programming, and Elena Bellodi will probably talk about *probabilistic logic programming*. The courses will be run as a hybrid model in which the first two hours are thought live, and for the last two hours, a recording will be made available. The abstracts of these talks are included below. Registration is included in the ICLP registration and can be done via https://iclp2020.unical.it/registration (*early bird registration ends at September 13th*) The talks will be a mixture of live sessions and pre-recorded videos. More information will be made available on https://sites.google.com/view/iclp-dc-2020/autumn-school-on-logic-programming?authuser=0 Spread the word, and we hope to see you soon in virtual Calabria. Best regards, Daniela Inclezan, Gopal Gupta, and Bart Bogaerts -------------------------------- *Martin Gebser (Klagenfurt University): Applications of Answer Set Programming* Abstract: Answer Set Programming (ASP) is a paradigm of knowledge representation and reasoning that has become a popular means for declarative problem solving. The basic idea is to represent a complex application problem by a logic program such that specific interpretations, called answer sets, correspond to problem solutions. Powerful off-the-shelf ASP systems, such as clingo, dlv and idp, automate the problem solving process by first grounding a general problem encoding relative to an instance given by facts, and then performing Boolean constraint solving to compute (optimal) answer sets. The application areas of ASP include a variety of domains ranging from artificial intelligence, databases, mathematical and scientific fields to industrial use cases. For instance, the clingo system has been utilized for radio spectrum reallocation in the first-ever incentive auction conducted by the Federal Communications Commission, which in 2016 yielded about 20 billion dollars revenue. Likewise, the dlv system has been deployed as a core tool in enterprise software for e-medicine, e-tourism, intelligent call routing and workforce management. Last but not least, the idp system has been harnessed for interactive configuration in the banking sector. Starting from the expressive modeling language, this tutorial presents and illustrates central features making ASP attractive for solving application problems. We particularly demonstrate the proficient usage of optimization, which is of crucial importance in virtually all realistic settings. Beyond traditional single-shot solving, we also outline recent advancements in multi-shot solving, driving the application of ASP in dynamic areas like automated planning, robotics control and stream reasoning. *Marc Denecker (KU Leuven): On the? informal semantics of knowledge representation languages and the case of Logic Programming.* Abstract: The? informal semantics of a formal language aims to explain the ``intuitive'' meaning of the logical symbols, and of the formulas and theories of the language. In the context of a KR language, it aims to express the knowledge conveyed by formulas and theories about the application domain, in a precise and systematic way.? It is a controversial concept.? In formal science, one often? avoids to? talk about such soft informal topics. For this reason, many may prefer to view? a (declarative) formal language as a tool to encode computational problems. In that view, the question of its informal ``intuitive'' semantics seems of no scientific relevance. Strictly speaking,? the meaning of negation as failure is not a scientific question here. In this course, we will view a formal KR language as a formal study of certain types of knowledge. The question of its informal semantics then becomes the corner stone of such a study, as it relates the formal entities (the formulas) to the informal objects that they intend to represent (the knowledge). The? scientific thesis of such a study?? is then that a formal semantics correctly formalizes the informal semantics. The course starts with some considerations on viewing a formal language as a? formal study of some forms of knowledge. The discussion is based on, a.o., Poppers ideas of formal science. The? goal of this discussion is to derive insights? needed to understand the current status of informal semantics? in Logic Programming, and instruments to analyze it. In the second part of the lecture, we apply the above ideas and instruments on Logic Programming. A brief historical overview is given on the topic of informal semantics.? Three main ideas for informal semantics were proposed: the Closed World Assumption by Ray Reiter, logic programs as definitions by Keith Clark, and the (auto)epistemic/default interpretation by Michael Gelfond. We then analyze these informal semantics using the instruments introduced in the first part: where these informal semantics agree and disagree, how they were formalized, how to interpret semantical objects, what is the meaning of negation and the rule operator in them and which informal semantics applies in the context of concrete examples. The last part of the lecture is devoted to (inductive) definitions and the definitional view of LP. We argue that it is the most precise and the most widely applicable. Definitions extend CWA but are more precise and more general. They are not equivalent with the epistemic view and neither subsumes the other. But there are more applications for definitions than for epistemic theories.? In the view of logic programs as definitions, we argue that negation is classical but the rule operator is not (which confirms what Clark suggested long ago). We recall Harel's critique on completion semantics for expressing inductive definitions, and give? the proof that in general, inductive definitions cannot be expressed? in FO. We discuss the integration of definitional knowledge with the knowledge representation paradigm of classical logic, as it was done in the logic FO(ID). We end with considering what the declarative view of a logic program as a definition can contribute in the view of LP as a programming language, as a query language and as a KR language. *Peter Stuckey (Monash University): MiniZinc for high-level solver-independent modelling* Abstract: In this tutorial we will introduce you to modelling discrete optimization problems using MiniZinc. MiniZinc allows you to model a discrete optimization problem without committing to a particular? solver or solver technology.? Thus you can avoid committing to the wrong solver technology to your problem. MiniZinc supports Constraint Programming, Mixed Integer Programming, Boolean SATisfiability, SAT Modulo Theories and Constraint-Based Local Search solvers. The tutorial will cover basic modelling, modelling viewpoints, and debugging models. The tutorial will involve a series of hands-on tasks using MiniZinc. *Elena Bellodi (University of Ferrara): Probabilistic Logic Programming* Abstract: Recently much work in Machine Learning has concentrated on representation languages able to combine aspects of logic and probability, in order to model domains characterized by both complex and uncertain relationships among entities. Machine Learning approaches based on such combinations have recently achieved important results, originating the fields of Statistical Relational Learning, Probabilistic Logic Programming and, more generally, Statistical Relational Artificial Intelligence. The course will concentrate on Probabilistic Logic Programming (PLP), which has received an increasing attention for its ability to incorporate probability in Logic Programming. Among various proposals for PLP, the one based on the distribution semantics has gained popularity being at the basis of many PLP languages. The course will describe syntax and semantics for the main PLP languages under the distribution semantics, and overview several systems for inference and learning. Then, it will provide an overview of hybrid Probabilistic Logic Programs, in which random variables may be both discrete and continuous. The course will present the main application areas and will include a hands-on experience with the PLP system cplint using the web application http://cplint.eu. -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ujfalussy.balazs.benedek at wigner.mta.hu Fri Sep 11 06:58:10 2020 From: ujfalussy.balazs.benedek at wigner.mta.hu (Balazs Ujfalussy) Date: Fri, 11 Sep 2020 12:58:10 +0200 Subject: Connectionists: Group Leader Position(s) in the Institute of Experimental Medicine, Budapest References: <1478594550.9302292.1599803395382.JavaMail.zimbra@koki.mta.hu> Message-ID: <044C2079-6E85-49DA-8ADC-119C79F6C4D7@wigner.mta.hu> Group Leader Position(s) in the Institute of Experimental Medicine The Institute of Experimental Medicine in Budapest, Hungary invites applications for independent scientific group leader positions. The Institute, an internationally renowned Center of Excellence in neuroscience, hosts scientific groups in diverse fields of neuroscience applying molecular, anatomical, physiological, pharmacological and behavioral approaches, and offers several state-of-the-art core facilities supporting research (see detailed information at http://koki.hu/english/introduction-106273 ). The successful applicant(s) is(are) expected to establish an internationally competitive research group that integrates into and strengthens the existing research profile of the Institute, and preferably offers interdisciplinary cooperation opportunities. The successful applicant(s) should have a Ph.D. in natural sciences and should be an international expert in experimental or computational neuroscience. Requirements are strong scientific track-record, demonstrating independent research leadership abilities, international experience, competence in supervising a scientific team and excellent cooperation skills. Applications should include (1) a CV, (2) a full publication list and 5 selected (most important) publications, (3) the summary of research achievements (max. 2 pages), (4) scientific concept and plans (2 pages) and (5) presentation of leadership and cooperation experience (half a page). The applications should be submitted by 21st September 2020 by email to: igazgato at koki.mta.hu Zoltan Nusser Director Institute of Experimental Medicine Prof. Zoltan Nusser Laboratory of Cellular Neurophysiology Institute of Experimental Medicine H-1083 Budapest, Szigony street 43. Phone: +36-1-210 9983 Fax: +36-1-210 9984 E-mail: nusser.zoltan at koki.mta.hu www.nusserlab.hu -------------- next part -------------- An HTML attachment was scrubbed... URL: From salva.ardid at yale.edu Sun Sep 13 11:38:27 2020 From: salva.ardid at yale.edu (sa474) Date: Sun, 13 Sep 2020 15:38:27 +0000 Subject: Connectionists: Openings at the interface of Computational Neuroscience and AI Message-ID: Dear Colleagues, I would like to announce three new openings, 2 PhD candidate positions and 1 Research Assistant position, in my Lab at the Universitat Polit?cnica de Val?ncia (UPV) in Spain, to participate in research projects related to Artificial Intelligence, Computational Cognitive Neuroscience, and their interface. Candidates for these positions are expected to have a quantitative background and strong interests in at least one of the following goals: - Apply state-of-the-art machine learning algorithms and/or neural circuit modeling to address questions in Life Sciences and Physics. - Adapt computationally efficient cognitive mechanisms into AI architectures (such as deep neural networks) aiming for more powerful learning algorithms. - Identify physiological mechanisms of brain function and dysfunction, in particular, the neural substrates of learning governing flexible, goal-directed behavior. Candidates should have a background in Computer Science, Electric Engineering, Physics, Math, Biology, or similar, and good programming skills (e.g., Python, R, Matlab, JavaScript, C++). Knowledge of dynamical systems modeling, time series analysis, machine learning and/or computational neuroscience would be an advantage. Candidates for the PhD positions should also have a Master degree, and candidates for the Research Assistant position should have a Bachelor degree, or similar. Gross salary for the PhD candidates and for the Research Assistant will be around 1400 ?/month. Candidates from under-represented groups are strongly encouraged to apply. Our Lab is inclusive and committed to equity and diversity. The administrative period to apply at UPV will be from Sept 21 to Oct 2, 2020. The start date will be in November 2020. Candidates interested in these openings please contact me (Salva Ardid, E-mail: sardid at upv dot es) as soon as possible to know more about the selection process. Please provide an informal motivation letter (it can be embedded in the email body), a brief CV/resume, and the name and contact information of two referees willing to support your application with a recommendation letter. A brief note on our Lab?s location: Our group is located at the UPV campus in Gandia. Gandia is a historical, cultural, and touristic city located on the shoreline of eastern Spain, 65 km (40 mi) south of Val?ncia (about 1 hour by train/car). Val?ncia is the third most popular city in Spain after Barcelona and Madrid. The cost of living of Val?ncia is significantly lower than that of Barcelona and Madrid (and this is even further the case for Gandia). Salva Ardid GenT Distinguished Research Group Leader Universitat Polit?cnica de Val?ncia Paranimf 1 Edifici D, Despatx D-210 Gandia, 46730 Spain Web: https://sardid.github.io E-mail: sardid at upv dot es -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.bilen at ed.ac.uk Sun Sep 13 14:46:58 2020 From: h.bilen at ed.ac.uk (Hakan Bilen) Date: Sun, 13 Sep 2020 19:46:58 +0100 Subject: Connectionists: Postdoc in Computer Vision and Machine Learning in Edinburgh Message-ID: <322957f0-1dd5-1140-526a-4ef7798f79f7@ed.ac.uk> Dear colleagues, Apologies for cross postings. We are looking for creative and motivated postdoc candidates to work with us in Computer Vision to join Dr Bilen 's research group in the School of Informatics, the University of Edinburgh. The positions are for a year with a possible extension to second year. The research projects aim to learn multi-domain/task deep representations for various computer vision problems and involve collaboration with the University of Oxford and Bristol. Essential requirements are: * PhD in Computer Vision, Machine Learning, or closely related area, * Strong publication record at top computer vision and/or machine learning conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR) and journals (PAMI, IJCV), * Ability to work independently and manage own academic research and associated activities, * Highly motivated and willing to work with PhD students, * Proficient in English, both written and spoken. If you are interested, please provide a CV with your publication list and a brief statement of research interests (describing how past experience and future plans fit with the advertised position). The positions are available from 1 December 2020. There is no application deadline, the position will be open till the candidate is appointed. All documents should be in electronic format and sent via e-mail to Dr Hakan Bilen with the title [Prospective Postdoc] as soon as possible (Email: hbilen at ed.ac.uk). Hakan Bilen -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: not available URL: From vincentthunder2011 at gmail.com Sun Sep 13 22:58:10 2020 From: vincentthunder2011 at gmail.com (Jui-Yi Tsai) Date: Mon, 14 Sep 2020 10:58:10 +0800 Subject: Connectionists: [Deadline Extension] ICS 2020 (due date: September 16, 2020) Message-ID: ---------------------------- CALL FOR PAPERS ---------------------------- 2020 International Computer Symposium (ICS 2020), December 17-19, 2020, Tainan, Taiwan. http://ics2020.ncku.edu.tw/ Introduction: International Computer Symposium (ICS) is one of the most prestigious international ICT symposiums held in Taiwan. Founded in 1973, it is intended to provide a forum for researchers, educators, and professionals to exchange their discoveries and practices, and to explore future trends and applications in computer technologies. The biennial symposium offers a great opportunity to share research experiences and to discuss potential new trends in the ICT industry. ICS 2020 will provide workshops, panels and keynotes to facilitate discourse on and deepen the understanding of the challenges in computer and communication technologies. This year, ICS 2020 will be held at Shangri-La's Far Eastern Plaza Hotel and National Cheng Kung University, Tainan, Taiwan, on December 17-19, 2020. The conference will include the following workshops: 1. Workshop on Algorithms and Computation Theory 2. Workshop on Artificial Intelligence on Education 3. Workshop on Artificial Intelligence Learning Theory 4. Workshop on AIoT Applications 5. Workshop on Computer Architecture, Embedded Systems, SoC, and VLSI/EDA 6. Workshop on Intelligent Network 7. Workshop on Cyber Security 8. Workshop on Big Data 9. Workshop on AR/VR and Human Computer Interaction 10. Workshop on Image Processing, Computer Graphics, and Multimedia Technologies 11. Workshop on Web Intelligence and Social Network 12. Workshop on 5G/6G Communications, Protocols, and Applications 13. Workshop on Parallel, Distributed, and Cloud/Edge Computing 14. Workshop on Software Engineering and Programming Languages 15. Workshop on AI for Healthcare and Bioinformatics 16. Workshop on Intelligent Manufacturing 17. Workshop on Autonomous Driving Important Dates Paper submission due date: September 16, 2020 Paper notification: October 15, 2020 Final paper due date: November 1, 2020 Conference date: December 17-19, 2020 SUBMISSION Paper Submission Format Paper must be submitted electronically using the IEEE Xplore compatible PDF via the websites. All papers will be peer reviewed. Papers should be in English, not exceeding 6 double-column pages for regular paper (not exceeding 2 double-column pages for short paper), including figures, tables, references, and appendices (10-point font). Please use the standard IEEE conference proceedings templates for Microsoft Word or LaTeX formats founded at http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made through the ICS 2020 submission page, handled by the EasyChair conference management system: https://easychair.org/conferences/?conf=ics20200 Guide to ICS 2020 Paper Submission System: http://ics2020.ncku.edu.tw/files/ICS2020_Submission_Guideline(EasyChair)_multitrack.pdf Important IEEE Policy The IEEE reserves the right to exclude a paper from distribution after the conference (including its removal from IEEE Xplore) if the paper is not presented at the workshop. Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conferences/workshops/symposia at the same time (double submission). These matters are taken very seriously and the IEEE Tainan Section will take action against any author who engages in either practice. Follow these links to learn more: IEEE Policy on Plagiarism: https://www.ieee.org/publications/rights/plagiarism/plagiarism.html IEEE Policy on Double Submission: https://www.ieee.org/publications/rights/multi-sub-guidelines-intro.html PLEASE NOTE: To be published in the ICS 2020 Conference Proceedings and to be eligible for publication in IEEE Xplore?, an author of an accepted paper is required to register for the conference at the full (member or non-member) rate and the paper must be presented by an author of that paper at the conference unless the TPC Chair grants permission for a substitute presenter arranged in advance of the event and who is qualified both to present and answer questions. Non-refundable registration fees must be paid prior to uploading the final IEEE formatted, publication-ready version of the paper. For an author with multiple accepted papers, one full registration is valid for 1 paper. All accepted papers will be included in ICS 2020 Conference Proceeding, but only regular papers (full-rate registered and presented) will be submitted to IEEE Xplore?. All questions about submissions should be emailed to ics2020 at email.ncku.edu.tw -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksmith at kth.se Fri Sep 11 17:38:16 2020 From: ksmith at kth.se (Kevin Smith) Date: Fri, 11 Sep 2020 23:38:16 +0200 Subject: Connectionists: PhD student in deep learning at KTH Royal Institute of Technology, Stockholm Sweden Message-ID: Job description: Deep learning has dramatically pushed the performance of many intelligent systems, but many important questions remain open for research. How can we make sense of the high capacity of deep networks? How should one interpret its decision making process? How can we transfer knowledge from an information-rich application to tasks where data is scarce? What are the limits of its application in other fields? The role of the doctoral student will be to develop theoretical advances regarding these research questions and focus on applying them to problems in computer vision and/or biomedical image analysis. Possible topics of interest include: knowledge transfer, universal representation and learning, understanding deep networks, explainability, and generative models. Should the student be willing and sufficiently experienced, they will have some freedom to steer the direction of research. This is a four (4) year time-limited position with full funding and support for travel to conferences, etc. It can be extended up to five (5) years with the inclusion of a maximum of 20% departmental duties, typically teaching. In order to be employed, you must apply and be accepted as a doctoral student at KTH. The starting date is open for discussion, though we would like the successful candidate to start as soon as possible. Eligibility To be admitted to postgraduate education, the applicant must have basic eligibility in accordance with either of the following: - passed a degree at advanced level - completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or - in any other way acquired within or outside the country acquired essentially equivalent knowledge - Requirements for English equivalent to English B/6 read more here Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During selection process, candidates will be assessed upon their ability to: - independently pursue his or her work - collaborate with others - have a professional approach and - analyse and work with complex issues - Good knowledge of English and ability to express themselves clearly in speech and writing - Motivation for doctoral studies - Mathematical skillset - Experience in use of deep learning frameworks including TensorFlow, PyTorch, Keras, Caffe, MXNet, etc as well as familiarity with Linux - After qualification requirements, great emphasis will be placed on personal qualities and personal suitability Application: Log into KTH's recruitment system in order to apply to this position ( https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:349832/where:4/). You are responsible to ensure that your application is complete according to the ad. Applications shall include the following documents: 1. A short (1 page) statement of interest with a project proposal describing a topic around deep learning and/or biomedical image analysis that you would like to pursue in your doctoral studies.. 2. Curriculum vitae 3. Transcripts from university/university college 4. Representative publications or another example of the applicant?s original technical writing, e.g., thesis, technical report, etc. Please observe that all material needs to be in English. Your complete application must be received at KTH no later than 08.Oct.2020 11:59 PM CET About KTH and Science for Life Laboratory: KTH Royal Institute of Technology in Stockholm (www.kth.se) is one of Europe?s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden?s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy. The position will be formally placed with the department for Computational Science and Technology (CST) at KTH ( https://www.kth.se/en/csc/forskning/cst), but work will be carried out at the Science for Life Laboratory (www.scilifelab.se). The Science for Life Laboratory (SciLifeLab) is a collaboration between four universities in Stockholm and Uppsala: Karolinska Institutet, KTH, Stockholm University and Uppsala University. It combines advanced technology with broad knowledge in translational medicine and molecular life sciences. Since 2013, SciLifeLab has a mission from the Swedish government to run infrastructure to support researchers nationally and to be an internationally leading center for large-scale analyses in molecular life sciences targeting research in health and environment. Other details: Type of employment: Temporary position longer than 6 months Contract type: Full time First day of employment: According to agreement Salary: Monthly salary Number of positions: 1 Working hours: 100% City: Stockholm County: Stockholms l?n Country: Sweden Reference number: J-2020-1775 Contact: Anna Olan?s Jansson / HR Administrator, annaoj at kth.se Kevin Smith, Associate Professor, ksmith at kth.se -------------- next part -------------- An HTML attachment was scrubbed... URL: From ccht at iit.it Fri Sep 11 10:17:08 2020 From: ccht at iit.it (ccht) Date: Fri, 11 Sep 2020 14:17:08 +0000 Subject: Connectionists: PostDoc on Machine Learning for Earth Observation data - Venice Message-ID: PostDoc on Machine Learning for Earth Observation data - (2000002S) The Centre for Cultural Heritage Technology (CCHT) of Istituto Italiano di Tecnologia (IIT) in Venice is currently seeking to appoint a PostDoc with a solid background in the field of Artificial Intelligence (AI) to develop new methods applicable to Earth Observation (EO) in order to detect yet unknown, subsoil Cultural Heritage (CH) sites. CCHT focuses on researching and promoting new technologies for recording, documenting, analysing and preserving CH in a broad sense. With its strongly interdisciplinary infrastructure, the Centre combines expertise from computational and conservation sciences domains, integrating these competencies to foster cutting-edge research. The candidate will support CCHT researchers in a project developed in partnership with the European Space Agency (ESA): ?Cultural Landscapes Scanner (CLS): Earth Observation and automated detection of subsoil undiscovered cultural heritage sites via AI approaches?, contract number 4000132058/20/NL/MH/ic. Required qualifications: * Ph.D. in computer science or a related field with specialization in Machine Learning (ML) or in Remote Sensing (RS); * Experience in the development ML methods on EO data (for example, but not limited to, change and anomaly detection on EO time-series; semantic segmentation for land cover mapping, etc.); * Experience with numeric and geospatial Python packages Numpy, Scikit-learn, Gdal or similar; * Good understanding of Geomatics concepts; * Good communication skills and ability to cooperate; * Proficiency in English language (written and oral). Desirable skills: * Experience on unsupervised and semi-supervised Deep Neural Networks, such as autoencoders and Graph Neural Networks (GNNs); * Experience in handling and manipulating big remote sensing datasets. A relevant scientific track record on major ML and/or Remote Sensing conferences/journals (e.g. CVPR, NeurIPS, IGARSS, TPAMI, TGRS, MDPI RS, etc.) is a criterion for the selection. The position will require regular travel to partners? research facilities for periods from one to several weeks, depending on needs. The successful candidate will be offered a competitive salary 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 October 1st, 2020. Please send your application using he online form. Your application must include (as separate documents): * CV with the publication list; * Brief description of research interests and main accomplishments; * Names and contacts of 2 referees. Istituto Italiano di Tecnologia, with its headquarters in Genoa, Italy, is a non-profit institution with the primary goal of creating and disseminating scientific knowledge and strengthening Italy's technological competitiveness. IIT's research endeavour focuses on high-tech and innovation, representing the forefront of technology with possible application from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. We inform you that the data you provide will be processed for the sole purpose of evaluating professional profiles and selecting them according to the needs of the Fondazione Istituto Italiano di Tecnologia. Your data will be processed by the Fondazione Istituto Italiano di Tecnologia, based in Genova, Via Morego, 30, as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. We also inform you that, pursuant to article 15 and following articles of EU Regulation 2016/679 ("General Data Protection Regulation"), you may exercise your rights at any time by contacting the Data Protection Officer (telephone 010 28961 - email: dpo[at]iit.it) Primary Location VENEZIA Job Postdoc Organization Cultural Heritage Technologies Job Posting Sep 7, 2020, 10:16:32 AM Apply online: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2000002S [cid:image001.png at 01D68856.FE35C4F0] Center for Cultural Heritage Technologies @Ca?Foscari VEGA - Parco Scientifico Tecnologico di Venezia Porta dell?Innovazione Via della Libert?, 12 30175 - Marghera (VE) Italy twitter.com/IITalk www.facebook.com/IITalk www.iit.it DONA IL TUO 5X1000 ALL?ISTITUTO ITALIANO DI TECNOLOGIA codice fiscale 97329350587 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 10737 bytes Desc: image001.png URL: From alessio.micheli at unipi.it Sat Sep 12 11:04:40 2020 From: alessio.micheli at unipi.it (Alessio Micheli) Date: Sat, 12 Sep 2020 15:04:40 +0000 Subject: Connectionists: [CfP] IEEE TNNLS Special Issue on "New Frontiers in Extremely Efficient Reservoir Computing": Extended deadline Message-ID: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS Special Issue on "New Frontiers in Extremely Efficient Reservoir Computing" Extended submission deadline: October 7, 2020. More information: https://cis.ieee.org/images/files/Documents/call-for-papers/tnnls/CFP_Special_Issue_RC_TNNLS_new.pdf https://cis.ieee.org/publications/t-neural-networks-and-learning-systems Guest Editors: Gouhei Tanaka, The University of Tokyo, Japan, Claudio Gallicchio, University of Pisa , Italy, Alessio Micheli, University of Pisa, Italy, Juan Pablo Ortega, University of St. Gallen, Switzerland, Akira Hirose, The University of Tokyo, Japan. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jozsef.arato at univie.ac.at Sun Sep 13 15:41:22 2020 From: jozsef.arato at univie.ac.at (Jozsef Arato) Date: Sun, 13 Sep 2020 21:41:22 +0200 Subject: Connectionists: Pattern Recognition in Neuroimaging Summer School Lectures Message-ID: <002601d68a05$dc64ee40$952ecac0$@univie.ac.at> Dear All, The virtual summer school on Pattern Recognition in Neuroimaging at the University of Vienna is taking place this week (Sept. 14-18th). Registration is closed, but the live lectures are available free of charge, please visit our website (https://prni2020.univie.ac.at/) for more information. Keynote Speakers Peter Dayan (MPI Biological Cybernetics/Tubingen) Katharina Dobs (MIT) Romy Lorenz (Cambridge) Teaching Faculty Sebastian Tschiatschek (Uni. Vienna) Tonio Ball (Uni. Freiburg) Mate Lengyel (Cambridge/CEU) Georg Langs (Med. Uni. Wien) Alexandre Gramfort (INRIA) Moritz Grosse-Wentrup (Uni. Vienna) Manuel Zimmer (IMP Vienna) Looking forward to see you there. Jozsef Arato, PhD Program Chair, PRNI 2020 ______________________________ Vienna Cognitive Science Hub University of Vienna Liebiggase 5 (Room HE.63) 1010, Vienna jozsef.arato at univie.ac.at -------------- next part -------------- An HTML attachment was scrubbed... URL: From salva.ardid at yale.edu Mon Sep 14 03:20:10 2020 From: salva.ardid at yale.edu (sa474) Date: Mon, 14 Sep 2020 07:20:10 +0000 Subject: Connectionists: Openings at the interface of Computational Neuroscience and AI Message-ID: Dear Colleagues, I would like to announce three new openings, 2 PhD candidate positions and 1 Research Assistant position, in my Lab at the Universitat Polit?cnica de Val?ncia (UPV) in Spain, to participate in research projects related to Artificial Intelligence, Computational Cognitive Neuroscience, and their interface. Candidates for these positions are expected to have a quantitative background and strong interests in at least one of the following goals: - Apply state-of-the-art machine learning algorithms and/or neural circuit modeling to address questions in Life Sciences and Physics. - Adapt computationally efficient cognitive mechanisms into AI architectures (such as deep neural networks) aiming for more powerful learning algorithms. - Identify physiological mechanisms of brain function and dysfunction, in particular, the neural substrates of learning governing flexible, goal-directed behavior. Candidates should have a background in Computer Science, Electric Engineering, Physics, Math, Biology, or similar, and good programming skills (e.g., Python, R, Matlab, JavaScript, C++). Knowledge of dynamical systems modeling, time series analysis, machine learning and/or computational neuroscience would be an advantage. Candidates for the PhD positions should also have a Master degree, and candidates for the Research Assistant position should have a Bachelor degree, or similar. Gross salary for the PhD candidates and for the Research Assistant will be around 1400 ?/month. Candidates from under-represented groups are strongly encouraged to apply. Our Lab is inclusive and committed to equity and diversity. The administrative period to apply at UPV will be from Sept 21 to Oct 2, 2020. The start date will be in November 2020. Candidates interested in these openings please contact me (Salva Ardid, E-mail: sardid at upv dot es) as soon as possible to know more about the selection process. Please provide an informal motivation letter (it can be embedded in the email body), a brief CV/resume, and the name and contact information of two referees willing to support your application with a recommendation letter. A brief note on our Lab?s location: Our group is located at the UPV campus in Gandia. Gandia is a historical, cultural, and touristic city located on the shoreline of eastern Spain, 65 km (40 mi) south of Val?ncia (about 1 hour by train/car). Val?ncia is the third most popular city in Spain after Barcelona and Madrid. The cost of living of Val?ncia is significantly lower than that of Barcelona and Madrid (and this is even further the case for Gandia). Salva Ardid GenT Distinguished Research Group Leader Universitat Polit?cnica de Val?ncia Paranimf 1 Edifici D, Despatx D-210 Gandia, 46730 Spain Web: https://sardid.github.io E-mail: sardid at upv dot es -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Mon Sep 14 08:07:48 2020 From: Pavis at iit.it (Pavis) Date: Mon, 14 Sep 2020 12:07:48 +0000 Subject: Connectionists: Postdoc position on deep learning for 3D scene understanding from images - IIT GENOVA - ITALY Message-ID: Postdoc position on deep learning for 3D scene understanding from images - IIT GENOVA - ITALY The Pattern Analysis and Computer Vision (PAVIS) Research Line at Fondazione Istituto Italiano di Tecnologia - IIT invites qualified candidates to submit their applications for a Postdoc position in Genoa, Italy under the supervision of Dr. Alessio Del Bue. PAVIS Research Line is actively developing an Artificial Intelligence (AI) infrastructure to understand our physical space and the human behaviors within it. The focus of the group is on creating intelligent systems that jointly accomplish two main goals: - Spatial AI: Perceive and understand autonomously the real physical world, both static and dynamic, with its corresponding spatial semantic (where are things, what is their function, which is the dynamic of the scene). - Social AI: Perceive and understand humans and their behaviors as observed by cameras in relation to the physical spaces they are interacting with. The selected candidate will work on dynamic 3D scene understanding with topics related to semantic simultaneous localisation and mapping (S-SLAM) and semantic structure from motion (S-SfM). Research in PAVIS 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 PAVIS will focus on the fusion of state of the art deep architectures and graph neural networks with 3D reasoning from multi-view images or RGBD data. Required qualifications: - Ph.D. in Computer Science or related field (with specialization in either computer vision, machine learning and related fields); - Proficiency with programming languages, in particular Python, C/C++ and MATLAB; - Experience on multi-view geometry approaches and SLAM 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 October 9, 2020. Please submit your application using the online form https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2000002W and including a detailed CV, a one-page research statement and contact information of two referees. In case of further information, you may contact pavis at iit.it quoting ?CB 77562 - PAVIS Postdoc Position on dynamic scene understanding? in the e-mail subject. Fondazione Istituto Italiano di Tecnologia - IIT - was founded with the objective of promoting Italy?s technological development and further education in science and technology. In this sense, IIT is committed to achieving its scientific program, which sees a major inspirational principle in the integration between basic scientific research and the development of technical applications. Research activities at IIT cover areas of high innovative content, representing the most advanced frontiers of modern technology with wide application possibilities in various fields from medicine to industry, from computer science to robotics, life sciences and nanobiotechnology. 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. 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). -------------- next part -------------- An HTML attachment was scrubbed... URL: From pablo.alvesdebarros at iit.it Mon Sep 14 10:26:30 2020 From: pablo.alvesdebarros at iit.it (Pablo Vinicius Alves De Barros) Date: Mon, 14 Sep 2020 14:26:30 +0000 Subject: Connectionists: Call for Abstracts - Workshop on Affective Shared Perception (WASP) - ICDL-EPIROB 2020 Message-ID: Call For Abstracts - Workshop on Affective Shared Perception (WASP) Dear all, We are delighted to invite you to submit an abstract, and to participate in our Workshop on Affective Shared Perception (WASP), hosted by the International Conference on Developmental Learning and Epigenetic Robotics (ICDL-EPIROB2020). Please find below all the information! Cheers, Pablo I. Aim and Scope Our perception of the world, in particular, the ones which are influenced by affective understanding, depends both on sensory perception and prior knowledge. Most of the current research on modeling affective behavior as computer models ground their contribution to pre-trained learning models, which are purely data-driven, or on reproducing existing human behavior. Such approaches allow for easily reproducible solutions that fail when applied to complex social scenarios. Understanding shared perception as part of the affective processing mechanisms will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this workshop is to present and discuss new findings, theories, systems, and trends in computational models of affective shared perception. The workshop will feature a multidisciplinary list of invited speakers with experience in different aspects of social interaction, which will allow a rich and diverse debate about our overarching theme of affective shared perception. The workshop is scheduled to happen on the 30th of October of 2020 virtually. It will start at 15h00 CET and it will have a total duration of 3h30min. The participation is free, and a Zoom room will be available shortly before the workshop starts. II. Registration The registration to the workshop is free, but to guarantee a place to attend the workshop, please register here: shorturl.at/ciCQX III. Potential Topics Topics include, but are not limited to: - Affective perception and learning - Affective modulation and decision making - Developmental perspectives of shared perception - Machine learning for shared perception - Bio-inspired approaches for affective shared perception - Affective processing for embodied and cognitive robots - Multisensory modeling for conflict resolution in shared perception - New psychological findings on shared perception - Assistive aspects and applications of shared affective perception IV. Invited Speakers Prof. Dr. Ginevra Castellano - Uppsala University, Sweeden Prof. Dr. Ellen Souza - Federal Rural University of Pernambuco, Brazil Prof. Dr. Yukie Nagai - The University of Tokyo, Japan V. Submission Prospective participants in the workshop are invited to submit a contribution as an abstract with a maximum of 350 words. Submission information: https://www.whisperproject.eu/wasp2020 The abstracts will be peer-reviewed by experts from all over the world. To encourage the integration with the local affective computing communities, we will allow student abstracts to be submitted in English, Spanish, and Portuguese. Each accepted abstract will be presented as a 5 min video (in English!) that will be shared on the workshop's social media. During the workshop, all the videos will be streamed and the authors will have a joint live Q/A with the audience for 60minutes. Participants can also opt-in for participating in our Frontiers Research Topic on Affective Shared Perception ( https://www.frontiersin.org/research-topics/16086/affective-shared-perception). The same abstract sent to the workshop can be sent as an abstract submission to the research topic. If you want to opt-in for the research topic, only English submissions will be accepted. - Abstract submission deadline: 12th of October - Notification of acceptance: 17th of October - Frontiers Research Topic Abstract Deadline: 24th of October - Video submission: 24th of October VI. Organizers Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, Italy ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia ? Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros at iit.it website: https://www.pablobarros.net twitter: @PBarros_br -------------- next part -------------- An HTML attachment was scrubbed... URL: From muftimahmud at gmail.com Tue Sep 15 05:45:58 2020 From: muftimahmud at gmail.com (Mufti Mahmud) Date: Tue, 15 Sep 2020 10:45:58 +0100 Subject: Connectionists: [BI2020]: Call for Participation. Message-ID: Call for Participation BI2020: The 13th International Conference on Brain Informatics A Fully Virtual Conference September 19, 2020 http://www.bi2020.org/ Thanks to the conference sponsors, the conference organizers can offer some complimentary registrations to the academic attendees who would need them. The link for the application is: https://forms.gle/s5aLXoukDKcGvSBR8 and the deadline is 16 September 2020. *** Keynote Speakers *** ?Effective sharing of neuroscience datasets: what are the problems?? by Prof. Leslie S Smith (University of Stirling, UK) ?Explainable and Reliable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion and Action? by Prof. Stephen Grossberg (Boston University, USA) *** Topics and Areas for Parallel Sessions *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing The Brain Informatics (BI) conference series has established itself as the world's premier research forum on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field with joint efforts from neuroscience, cognitive science, medicine and life sciences, data science, artificial intelligence, neuroimaging technologies, and information and communication technologies. The 13th International Conference on Brain Informatics (BI2020) provides a virtual international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Brain Informatics research, brain-inspired technologies and brain/mental health applications. The physical conference will take place at **Padova, Italy** next year (17 to 19 September 2021). Further details will be announced in due course. With thanks and best regards, *Mufti Mahmud, PhD* | Senior Member-IEEE & ACM , MBCS , FHEA Senior Lecturer, Department of Computing & Technology | Nottingham Trent University Course Leader of M.Sc. in Data Analytics for Business & Online MBA with Data Analytics Associate Editor, IEEE Access & Brain Informatics Editorial Board Member, Cognitive Computation & Big Data Analytics Editor, SI on Data-Driven AI Approaches to Combat COVID-19 Editor, SI on Machine Learning Techniques for Neuroscience Big Data Editor, SI on Advances in Deep Learning for Clinical and Healthcare Applications Editor, SI on Recent Trends, Applications, and Challenges of Brain-Machine Interfaces Editor, SI on Explainable and Augmented Machine Learning for Biosignals and Biomedical Images General Chair, Brain Informatics 2020 , Padova, Italy Local Organising Chair, IEEE WCCI2020 , Glasgow, UK Programme Chair, IEEE CICARE2020 , Canberra, Australia Office: ERD200 | Clifton Campus | Clifton Lane | NG11 8NS ? Nottingham | United Kingdom Phone: +44 (0)115 84 83202 | Email: mufti.mahmud at ntu.ac.uk http://orcid.org/0000-0002-2037-8348 https://scholar.google.com/citations?user=L8em2YoAAAAJ&hl=en https://www.ntu.ac.uk/staff-profiles/science-technology/mufti-mahmud -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Tue Sep 15 04:54:37 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Tue, 15 Sep 2020 10:54:37 +0200 Subject: Connectionists: CfP - FAPER2020@ICPR2020 - DEADLINE IS APPROACHING! Message-ID: ?????????????????? FAPER2020 workshop at ICPR2020 ?????????? ---===== Apologies for cross-postings =====--- ????????? Please distribute this call to interested parties _______________________________________________________________________ ?International Workshop on Fine Art Pattern Extraction and Recognition ????????????????????????? F A P E R?? 2 0 2 0 ??????????????????? workshop in conjunction with the ??? 25th International Conference on Pattern Recognition (ICPR2020) ???????????????????? Milan, Italy, January 11, 2021 ???????? >>> https://sites.google.com/view/faper-workshop/ <<< ???????? D E A D L I N E??? I S??? A P P R O A C H I N G ! ! ! ??? * PLEASE NOTE THAT PAPERS NOT ACCEPTED IN THE ICPR2020 GENERAL * ????? SESSION AND FITTING FAPER2020 TOPICS COULD BE SUBMITTED HERE ??? -----> https://easychair.org/conferences/?conf=faper2020 <----- ??????????? *** Submission deadline: October 10, 2020 *** _______________________________________________________________________ === Aim & Scope === Cultural heritage, in particular fine art, has invaluable importance for the cultural, historic, and economic growth of our societies. Fine art is developed primarily for aesthetic purposes, and it is mainly concerned with paintings, sculptures, and architectures. In the last few years, due to technology improvements and drastically declining costs, a large-scale digitization effort has been made, leading to a growing availability of large digitized fine art collections. This availability, along with the recent advancements in pattern recognition and computer vision, has opened new opportunities for computer science researchers to assist the art community with automatic tools to analyse and further understand fine arts. Among the other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. The ability to recognize meaningful patterns in fine art inherently falls within the domain of human perception, and this perception can be extremely hard to conceptualize. Thus, visual-related features, such as those automatically learned by deep learning models, can be the key to tackling problems of extracting useful representations from low-level colour and texture features. These representations can assist in various art-related tasks, ranging from object detection in paintings to artistic style categorization, useful for examples in museum and art gallery websites. The aim of the workshop is to provide an international forum for those who wish to present advancements in the state of the art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for the better understanding and fruition of fine arts. The workshop solicits contributions from diverse areas such as pattern recognition, computer vision, artificial intelligence and image processing. === Topics === Topics of interest include, but are not limited to: - Application of machine learning and deep learning to cultural heritage - Computer vision and multimedia data - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Historical document analysis - Content-based retrieval in the art domain - Speech, audio and music analysis from historical archives - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Projects, products or prototypes for cultural heritage restoration, preservation and fruition === Invited Speaker === Fabio Remondino (3DOM|FBK, Italy) Dr. Fabio Remondino is the head of the 3D Optical Metrology (http://3dom.fbk.eu) research unit at FBK - Bruno Kessler Foundation (http://www.fbk.eu), a public research center located in Trento, Italy. His main research interests are in the field of reality-based surveying and 3D modeling, sensor and data fusion and 3D data classification. He is working in all automation aspects of the entire 3D reconstruction pipeline for applications in the industrial, environmental and heritage field. He is author of more than 200 articles in journals and conferences. He is involved in knowledge and technology transfer, organizing more than 30 conferences, 20 summerschools and 5 tutorials. Fabio is currently serving as President of the ISPRS Technical Commission II (http://www.isprs.org) and Vice-President of EuroSDR (http://eurosdr.net). He was vice-President of CIPA Heritage Documentation (https://www.cipaheritagedocumentation.org/) from 2015 to 2019. === Important Dates === -? October? 10th 2020 - workshop submission deadline -? November 10th 2020 - author notification -? November 15th 2020 - camera-ready submission -? December? 1st 2020 - finalized workshop program === Submission Guidelines === Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines. The following paper categories are welcome: - Full papers (12-15 pages, including references) - Short papers? (6-8 pages, including references) Accepted manuscripts will be included in the ICPR 2020 Workshop Proceedings Springer volume. Once accepted, at least one author is expected to attend the event and orally present the paper. === FAPER 2020 Special Issue === Authors of selected papers will be invited to extend and improve their contributions in the Special Issue "Fine Art Pattern Extraction and Recognition" of the Journal of Imaging (MDPI). - https://www.mdpi.com/journal/jimaging/special_issues/faper2020 - === Organizing committee === Gennaro Vessio (University of Bari, Italy) Giovanna Castellano (University of Bari, Italy) Fabio Bellavia (University of Palermo, Italy) === Venue === The workshop will be hosted at Milan Congress Center (Mi.Co.), which is located in Piazzale Carlo Magno 1, Milan, Italy. _________________________________________________________ ?Contacts: gennaro.vessio at uniba.it giovanna.castellano at uniba.it fabio.bellavia at unipa.it ?Workshop: https://sites.google.com/view/faper-workshop/ ?ICPR2020: https://www.micc.unifi.it/icpr2020/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mihaela.rozman at tuwien.ac.at Tue Sep 15 08:21:35 2020 From: mihaela.rozman at tuwien.ac.at (Mihaela Rozman) Date: Tue, 15 Sep 2020 14:21:35 +0200 Subject: Connectionists: =?utf-8?q?Scholarship=3A_Helmut_Veith_Stipend_for?= =?utf-8?q?_Female_Master=C2=B4s_Students_in_Computer_Science=2C_De?= =?utf-8?q?adline_November_30=2C_2018_for_the_enrollment_in_2018/20?= =?utf-8?q?19?= In-Reply-To: <045b01d46add$557821c0$00686540$@tuwien.ac.at> References: <045b01d46add$557821c0$00686540$@tuwien.ac.at> Message-ID: <07be01d68b5a$c3411c30$49c35490$@tuwien.ac.at> [Apologies if you receive multiple copies of this email. Please distribute to interested parties.] Female students in the field of computer science (CS) who plan to pursue (or are currently pursuing) one of the master?s programs in Computer Science at the Vienna University of Technology ? TU Wien taught in English are invited to apply for the annually awarded Helmut Veith Stipend. The annually awarded Helmut Veith Stipend for female master students is dedicated to the memory of an outstanding computer scientist who worked in the fields of logic in computer science, computer-aided verification, software engineering, and computer security. ? Professor Helmut Veith (1971-2016). The Helmut Veith Stipend has been established with generous support of TU Wien, Wolfgang Pauli Institute and with contributions by family and friends of the late Helmut Veith. BENEFITS -EUR 6000 per year, for up to two years -Waiver of tuition fees at TU Wien LOCATION OF MASTER STUDY For study in Austria, at Vienna University of Technology ? TU Wien FOR FIELD OF STUDY Applicants must be eligible for admission to one of the master?s programs in computer science at Vienna University of technology - TU Wien that are taught in English. Link: http://www.informatik.tuwien.ac.at/teaching/master ? Master in Logic and Computation ? Master in Business Informatics ? European Master in Computational Logic ? Master in Computer Engineering (Technische Informatik) ? Master in Data Science ? Master in Media and Human-Centered Computing APPLICATION Applications for Helmut Veith Stipend can be filed after, before or in parallel with the admissions process (if the start of the master?s program is in the Summer of 2019). The applications must be submitted electronically to master at logic-cs.at as a single PDF document, by November 30, 2018. DEADLINE November 30, 2018. INQUIRES Electronically to master at logic-cs.at WEBSITE http://www.vcla.at/2018/05/call-for-applications-helmut-veith-stipend-for-female-masters-students-in-computer-science DOWNLOAD THE FLYER http://forsyte.at/helmut-veith-stipend/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Tue Sep 15 08:54:14 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Tue, 15 Sep 2020 14:54:14 +0200 Subject: Connectionists: CFP - MAES@ICPR2020 workshop - DEADLINE IS APPROACHING! Message-ID: <49002683-75b8-f458-5d58-77dc26e34933@unifi.it> ???????????????????? MAES2020 workshop at ICPR2020 ?????????? ---===== Apologies for multiple posting =====--- ????????? Please distribute this call to interested parties _______________________________________________________________________ ?? Machine Learning Advances Environmental Science (MAES at ICPR2020) ?????????????????????????? workshop at the ?? 25th International Conference on Pattern Recognition (ICPR2020) ????????????????? Milan, Italy, January 10, 2021 ???????? >>> https://sites.google.com/view/maes-icpr2020/ <<< ???????? D E A D L I N E??? I S??? A P P R O A C H I N G? ! ! ! ??? * PLEASE NOTE THAT PAPERS NOT ACCEPTED IN THE ICPR2020 GENERAL * ????? SESSION AND FITTING MAES TOPICS COULD BE SUBMITTED HERE !!! ??? ----> https://easychair.org/conferences/?conf=maesicpr2020 <---- ????????????? /// Submission deadline: 10 October 2020 /// _______________________________________________________________________ ?=== Aim & Scope === Environmental data are growing steadily in volume, complexity and diversity to Big Data mainly driven by advanced sensor technology. Machine learning can offer superior techniques for unravelling complexity, knowledge discovery and predictability of Big Data environmental science. The aim of the workshop is to provide a state-of-the-art survey of environmental research topics that can benefit from Machine Learning methods and techniques. To this purpose the workshop welcomes papers on successful environmental applications of machine learning and pattern recognition techniques to? diverse domains of Environmental Research, for instance, recognition of biodiversity in thermal, photo and acoustic images, natural hazards analysis and prediction, environmental remote sensing, estimation of environmental risks, prediction of the concentrations of pollutants in geographical areas, environmental threshold analysis and predictive modelling, estimation of Genetical Modified Organisms (GMO) effects on non-target species. The workshop will be the place to make an analysis of the advances of Machine Learning for the Environmental Science and should indicate the open problems in environmental research that still have not properly benefited from Machine Learning. Extended papers of this workshop will be published as a special issue in the journal of Environmental Modelling and Software, Elsevier. *** Due to the COVID situation, the workshop may be held in a hybrid or online format. All accepted papers will be published. *** ?=== Invited Talk === "Harnessing big environmental data by machine learning", prof. Friedrich Recknagel, School of Biological Sciences, University of Adelaide, Australia (prof. Recknagel's bio: http://www.adelaide.edu.au/directory/friedrich.recknagel) (talk abstract: https://drive.google.com/file/d/12BFBiG4pwN-6TRKCy0OuGHOgue4YbOKJ/view?usp=sharing) ?=== Important Dates === -? 10 October? 2020 - workshop submission deadline -? 10 November 2020 - author notification -? 15 November 2020 - camera-ready submission -?? 1 December 2020 - finalized workshop program ?=== Organizers === ? Francesco Camastra, Universita' di Napoli Parthenope, Italy ?Friedrich Recknagel, University of Adelaide, Australia ??? Antonino Staiano, Universita' di Napoli Parthenope, Italy ?== Publicity chair == ????? Fabio Bellavia, Universita' di Palermo, Italy _______________________________________________________________________ ?Contacts: antonino.staiano at uniparthenope.it francesco.camastra at uniparthenope.it ?Workshop: https://sites.google.com/view/maes-icpr2020/ ?ICPR2020: https://www.micc.unifi.it/icpr2020/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.soto at cs.uns.edu.ar Tue Sep 15 10:33:13 2020 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Tue, 15 Sep 2020 11:33:13 -0300 Subject: Connectionists: ACM IUI 2021: CALL FOR WORKSHOP PROPOSALS (deadline extended) Message-ID: ACM IUI 2021 CALL FOR WORKSHOP PROPOSALS (deadline extended) In conjunction with the 26th International Conference on Intelligent User Interfaces (IUI 2021) College Station, TX, USA April 13 - 17, 2021 http://iui.acm.org/ IUI 2021 is pleased to invite proposals for workshops to be held in conjunction with the conference. The goal of the workshops is to provide a venue for presenting research on focused topics of interest and an informal forum to discuss research questions and challenges. Workshops will be held on the first day of the conference. We invite submissions of full-day (6 hours) and half-day (3 hours) workshop proposals on any of the conference topics (or related). This year we are particularly interested in workshops that have an interactive aspect. Preference will be given to workshops with interactive and hands-on sessions where participants can team up or work together towards the common goal of the workshop. We encourage proposals for a wide range of workshops, including but not limited to: - "Mini-conferences" on specialized topics; such workshops may have their own paper submission and review processes. - "Late breaking work" meetings; such workshops usually have a lighter review process (e.g. based on abstracts only). - "Hands-on" workshops around a specific problem or topic that may wish to ask participants to submit a position statement. - "Mini-competitions", challenges, or hackathons around selected topics with individual or team participation. == PROPOSAL FORMAT == Note: One of the keys to a successful workshop submission is to CONTACT THE CHAIRS WITH YOUR IDEAS (workshops2021 at iui.acm.org), and work together to prepare an exciting proposal! Workshop proposals should be maximum 2 pages long and follow the standard sigconf format, using one of the Interim ACM templates available at http://www.acm.org/publications/article-templates/proceedings-template.html Please submit your proposal via the PCS 2.0 submission system (https://new.precisionconference.com). The proposals should be organized as follows: - Name and title: A one-word workshop acronym and a full title. - Description of workshop topic and goal: This description should discuss the relevance of the suggested topic to the IUI audience. Include a brief discussion of why and for which audience the workshop is of particular interest. - Organizers: Names, affiliations, emails, and web pages of the workshop organizers. This can be a single person or a group of people. Strong proposals normally include organizers who bring differing perspectives on the topic and are actively connected to the communities of potential participants. Please indicate the primary contact person and the organizers who plan to attend the workshop. - Previous history: List of previous workshops that were held on the topic including the conferences that hosted past workshops and the number of participants. Also please provide the list of other workshops organized by workshop organizers in the past. - Workshop program committee: Names and affiliation of the members of the (tentative) workshop program committee that will evaluate the workshop submissions. - Participants: A statement saying how many participants you expect and how you plan to invite participants for the workshop. We recommend the proposal to include the names of at least 10 people who have expressed interest to participate in, or contribute a paper to, the workshop. - Workshop format: A brief description of the workshop format regarding the mix of events such as paper presentations, invited talks, panels, demonstrations, and general discussion. - Length: Full-day or half-day. - Proposal format: Workshop proposals should be maximum 2 pages long and follow the formatting instructions from (sigconf): http://www.acm.org/publications/article-templates/proceedings-template.html Additional guidelines: ---------------------- - Workshop proposals will be reviewed and evaluated by the workshop chairs. - Organizers: We strongly encourage all of the workshop organizers to attend IUI and take part in their workshop. This can make the workshops more appealing for the participants and strengthen the discussion part. - Workshop summary: An extended abstract with a summary of the workshop goals and an overview of the workshop topics will be included in the ACM Digital Library for IUI 2021. - Workshop proceedings: At the convenience of the workshop organizers, we will arrange a joint volume of online proceedings for the workshop papers. Workshops should request the authors to submit papers in the ACM SIGCHI Paper Format. - Cancellation: Workshops with few submissions by January 3 2021 may be cancelled, shortened, merged with other workshops, or otherwise restructured. This will be done in consultation between the IUI 2021 workshop chairs and the workshop organizers. Additionally, we strongly encourage to have workshop organizers from different institutions and research communities, bringing different perspectives to the workshop topic. We welcome workshops with a creative structure that attracts various types of contributions and ensures rich interactions. The organizers of accepted workshops are responsible for producing a call for participation and publicizing it, such as distributing the call to relevant newsgroups and electronic mailing lists, and especially to potential audiences from outside the IUI conference community. Workshop organizers will maintain their own website with updated information about the workshops and the IUI 2021 web site will refer to the workshop site. The workshop organizers will coordinate the paper solicitation, collection, and review process, and coordinate the production of the joint online proceedings with IUI 2021 workshop chairs. == IMPORTANT DATES == Discuss your topic with the workshop chairs: ASAP Workshop date: Proposals Due: September 22, 2020 Decisions sent: October 07, 2020 Submissions due: December 23, 2020 Reporting of status: January 03, 2021 Final go/no-go decisions: January 05, 2021 Notification to authors: January 31, 2021 Camera-ready for workshop summary [ACM Companion] February 10, 2021 Camera-ready for accepted papers February 28, 2021 From hlinka at cs.cas.cz Tue Sep 15 12:51:36 2020 From: hlinka at cs.cas.cz (Jaroslav Hlinka) Date: Tue, 15 Sep 2020 18:51:36 +0200 Subject: Connectionists: Postdoctoral Fellowship in Complex Networks and Brain Dynamics in Prague, Czech Republic Message-ID: <7f2c61b5-a444-0caf-e426-4d36ce25ee39@cs.cas.cz> We are looking for new team members to join the *Complex Networks and Brain Dynamics *group to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in *Prague, Czech Republic.* We focus on the development and application of methods of analysis and modeling of real-world complex networked systems, with a particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modeling, causality and information flow inference, nonlinearity and non-stationarity, graph theory, machine learning, and multivariate statistics; with applications in neuroscience, climate research, economics, and general communication networks. More information about the group at _http://cobra.cs.cas.cz/_. To consult possible research projects?focusing on complex systems modeling and analysis, please//contact?the group leader*?Jaroslav Hlinka, *_*hlinka at cs.cas.cz* _. ======================================= *The earliest postdoc opportunity: * The Institute of Computer Science (ICS) of the Czech Academy of Sciences (CAS) offers a Postdoctoral Fellowship for outstanding junior researchers, PhD holders, who spent at least 2 of the last 3 years outside the Czech Republic. This fellowship can cover research in various fields of computer science. The deadline for applications submission is *September 30*^*th* *.* *Department of Complex Systems:* * dynamic interdisciplinary team (mathematics, physics, cybernetics, neuroscience, climate science...) * collaboration with clinical research centers with unique large multimodal datasets * method development and data analysis in international collaboration *Conditions:* The respective project No. CZ.02.2.69/0.0/0.0/18_053/0017594 is co-funded by the EU. * The duration of the position is 24 months. * Application deadline: 30th September 2020. * Starting date: 1st January 2021. * This is a full-time fixed-term contract appointment, with no teaching duties. * Monthly gross salary: based on the qualification 52 000 ? 60 000 CZK. For more information about living expenses, check the _Cost Of Living Comparison _. * Yearly travel package up to 36 000 ? 100 000 CZK for conferences and research stays. *Applicants must:* * Have obtained a PhD at most 7 years prior to the mobility starting date (1st January 2021). This period may be extended by maternity and parental leave, long-term illness (more than 90 days), care for a family member (more than 90 days), pre-certification training, and military service. * Fulfill the mobility condition: the applicant must have been research active (at least 0.5 FTE and/or be enrolled in PhD studies program) outside the Czech Republic for at least 2 years in the last 3 years before the Fellowship starting date (1st January 2021). * Be fluent in English. *The applications must be sent to *_*ics at cs.cas.cz* _*?and should contain:* * Curriculum Vitae including a list of publications. * Document(s) proving mobility conditions. * Brief description of the applicant's research interests and of the intended research plan highlighting possible cooperation inside the institute. * Three letters of recommendation ? at most one from the Institute of Computer Science and at most one from the applicant's current affiliation. The referees should send their recommendations directly to _ics at cs.cas.cz _. * A copy of the applicant?s Ph.D. diploma. For further information and informal inquiries concerning the position, please contact *Jaroslav Hlinka*?(_hlinka at cs.cas.cz _). -- Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic Tel: (+420) 26605 3808 E-mail: hlinka at cs.cas.cz Web: http://www.cs.cas.cz/hlinka/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.goodman at imperial.ac.uk Tue Sep 15 12:11:38 2020 From: d.goodman at imperial.ac.uk (Dan Goodman) Date: Tue, 15 Sep 2020 17:11:38 +0100 Subject: Connectionists: computational neuroscience phd opportunities with Dan Goodman, Imperial College Message-ID: One or more PhD positions in theoretical and computational neuroscience are available in the group of Dan Goodman at Imperial College London. I am interested in supervising students with a strong mathematical, computational or neuroscience background. There is no deadline, and applications will be considered as they arrive, but earlier applications typically have a higher chance of getting a funded place, and EU applicants in particular should apply immediately (see note below). At the moment, the main research direction in the group is in applying methods from machine learning to models with a more biological flavour than the artificial neural networks typically studied in machine learning. This could include neurons with temporal dynamics, spiking neurons, etc. The aim is to use machine learning methods to find biologically relevant insights. To get a feel for this sort of work, you might be interested in seeing some of the recorded talks from a recent workshop I organised. However, our group has a fairly diverse range of interests and I am very happy to receive applications on a wider variety of topics than this (including theory of neural processing, auditory and other sensory systems, and simulation and data analysis). If you are interested in applying, please see the detailed instructions on my website: http://neural-reckoning.org/openings.html *Note on Brexit.* EU students starting a PhD in 2020-21 will still have the right to study in the UK, and be eligible for UK fee status and for financial support for the full duration of their course. However, the last opportunity for a funded place starting in the 2020-21 academic year will be a funding panel to take place in late October 2020, so EU candidates should get applications in as soon as possible, and please include a note in your email to me to make clear you are an EU candidate. Dan Goodman -------------- next part -------------- An HTML attachment was scrubbed... URL: From blextar at gmail.com Tue Sep 15 22:21:42 2020 From: blextar at gmail.com (Luca Rossi) Date: Wed, 16 Sep 2020 10:21:42 +0800 Subject: Connectionists: CFP S+SSPR 2020 [covid19 update] Message-ID: Dear all, Due to the ongoing COVID-19 pandemic and the uncertainty surrounding possible travel restrictions, as well as taking into account the health and safety of the conference participants, S+SSPR 2020 is now planned as a *fully online* event. Registration fees will be adjusted accordingly. Looking forward to your submissions, S+SSPR organising committee === CALL FOR PAPERS IAPR Joint International Workshops on 13th Statistical Techniques in Pattern Recognition (SPR) 18th Structural and Syntactic Pattern Recognition Workshop (SSPR) Time and place: 19-22 January 2021, Padova, Italy Paper submission deadline: 16 October 2020 S+SSPR 2020 is a joint event organised by Technical Committee 1 (Statistical Pattern Recognition Technique) and Technical Committee 2 (Structural and Syntactical Pattern Recognition) of the International Association of Pattern Recognition (IAPR). Following the trend of previous editions, S+SSPR 2020 will be held in close proximity and shortly before the International Conference on Pattern Recognition (ICPR). Authors are invited to submit papers addressing topics in statistical, structural or syntactic pattern recognition and their applications. Accepted papers will be published in Springer?s Lecture Notes in Computer Science (LNCS) series. For details see: http://www.dais.unive.it/sspr2020/ -- Luca Rossi Lecturer in Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London https://blextar.github.io/luca-rossi/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dom343 at gmail.com Wed Sep 16 05:49:33 2020 From: dom343 at gmail.com (Shell Xu Hu) Date: Wed, 16 Sep 2020 11:49:33 +0200 Subject: Connectionists: [Jobs] Multiple Openings for Research Scientists and Interns at Upload AI LLC In-Reply-To: References: Message-ID: We still have one scientist/intern position available, who will be joining the auditory perception project (speech & EEG data). Please don't hesitate to send us an email (to info at uploadai.com) if you are interested. On Thu, Jun 18, 2020 at 9:17 AM Shell Xu Hu wrote: > Multiple Openings for Research Scientists and Interns at Upload AI, LLC, > interested to Upload Neuroscience and Cognitive science knowledge into new > AI. > > Deep learning surpasses humans in many tasks but does not generalize well > to new situations like humans do, and lacks interpretability. These flaws > limit the utility of AI systems in interactions with humans. If you are > interested in how to build less artificial, more intelligent and > interpretable algorithms by learning from brains and human behavior and > cognition, join our team! We are hiring at all levels, from interns to > research scientists and engineers. We are looking for enthusiastic machine > learning scientists and engineers with an entrepreneurial startup spirit > with strong backgrounds in math, statistics, and machine learning (no > experience in neuroscience, psychology or cognitive science is necessary). > We aim to create the next generation of AI algorithms that will be more > robust, generalize better, and can cooperate intuitively with humans. > > > POSITIONS: > > We have opportunities to work on several AI projects in the US and Europe > at multiple locations. All team members will interact extensively across > multiple scientific disciplines and multiple sites. Highest-priority topics > include: > > * Brain-inspired deep networks for vision and auditory perception with an > emphasis on better generalization and interpretability. > > * Meta-learning, continual learning and few-shot learning with > applications in object detection. > > * Efficient optimization algorithms for non-convex, non-smooth functions > with applications in active learning. > > > THE TEAM: > > The projects are led by Andreas Tolias, Xaq Pitkow and Jacob Reimer from > Baylor College of Medicine, Matthias Bethge from University of T?bingen and > the European Laboratory for Learning and Intelligent Systems, and Shell Xu > Hu from Upload AI LLC. > > > APPLYING: The positions provide highly competitive salary and benefits, > and outstanding scientific and career development opportunities. Applicants > should email CV to info at uploadai.com. We look forward to hearing from you! > -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomislav.milekovic at epfl.ch Wed Sep 16 07:39:06 2020 From: tomislav.milekovic at epfl.ch (Milekovic Tomislav) Date: Wed, 16 Sep 2020 11:39:06 +0000 Subject: Connectionists: =?windows-1252?q?Senior_Scientist_=96_Stroke_posi?= =?windows-1252?q?tion_at_the_NeuroRestore_center_=28Lausanne=2C_Switzerla?= =?windows-1252?q?nd=29?= Message-ID: <72a8206e6ff849e7a8ce833e8f70a3c3@epfl.ch> Senior Scientist ? Stroke position at the NeuroRestore center (Lausanne, Switzerland) Location The Defitech Center for interventional Neurotherapies (NeuroRestore) is a research and innovation center joining EPFL?s lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. We conceive, develop and apply medical therapies aimed to restore neurological functions. To this end, we integrate implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, we are committed to validate our medical therapy concepts. Our overarching goal is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Opportunity Over the last decade, research labs under the NeuroRestore umbrella have achieved breakthroughs for the treatment of spinal cord injury and Parkinson?s disease. Our recent studies indicate that similar approaches may lead to novel therapies for stroke. Therefore, we decided to build a strong research core focused on gaining deeper understanding of stroke and resulting neurological deficits, and on developing therapies that leverage the gained understanding to replace or restore motor functions impacted by stroke. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge concepts of medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. Position Summary The Senor Scientist ? Stroke will bring their expertise and experience to build and then lead the stroke research core of the NeuroRestore center. They will develop original research projects across the whole stroke therapy development spectrum, starting from mechanistic understanding of stroke and resulting neurological and motor deficits, over preclinical tests of therapy concepts designed to take advantage of uncovered mechanisms, to clinical validation of therapies designed to alleviate motor deficits secondary to stroke. They will form and lead teams of NeuroRestore postdoctoral scientists, doctoral students, engineers and clinicians to execute these projects. They will train other scientists in their expert techniques and supervise junior scientists working on their projects. They will disseminate the results of their projects through research publications and conference talks and support preparation of scientific conference presentations and publications of other NeuroRestore personnel that works on stroke-related projects. They will take part in writing grant application that will support stroke-related projects. Responsibilities - Identify unmet clinical needs of stroke survivors and monitor the development of the medical neurotech sector to find opportunities for novel, feasible and rapidly realizable stroke therapies - Conceive, organize and plan out research projects - Form and leads teams to execute conceived research projects - Utilize their academic / clinical industry network to form collaborations that will help execute conceived research projects - Assess the project needs, identify relevant personnel and resources, and take part in hiring technical and scientific personnel to build skilled project teams - Train the NeuroRestore personnel in their area of expertise - Run project progress meetings, report on project progress, plan and manage the dissemination of project results - Take part in writing of funding applications to initiate new projects, strengthen / accelerate ongoing projects, or enhance ongoing collaborations - Develop and maintain connections with science labs and clinical centers to facilitate rapid animal and clinical testing of concepts and prototypes of medical treatments - Manage efforts to obtain regulatory approvals for animal studies and clinical trials to validate the concepts of medical therapies - Represent the Neurorestore Center at symposiums and conferences through talks and presentations Personal Traits - Passionate about the development of neurotechnologies that aim to alleviate movement disabilities of stroke - Thriving in a cutting edge, fast-paced, multidisciplinary environment - Self-starter and independent worker with an ability to identify innovative approaches and solutions - Attention to detail - Independent thinker and passionate problem solver Skills - Ability to independently conceive original research projects - Capacity to supervise several research projects in parallel - Capability to successfully lead research teams, and maintain collaborations with external partners - Strong verbal and written presentation skills in English - Experience with leading animal research projects and/or projects under the framework of clinical trials and studies - Track record of obtaining regulatory approvals for animal studies and/or clinical trials - Strong experience with writing project proposals, project progress reports and research articles - Experience in disseminating project progress through talks, presentation and publications - Experience in physiological signal acquisition and signal analysis - Capacity to identify skill gaps and hire personnel to fill them - Experience with writing, filling and obtaining patents - Advanced presentation skills (PowerPoint, Photoshop, Illustrator) - Willingness to travel in order to form / maintain collaborations - Possessing a strong academic, clinical, regulatory and industry network and the ability to use it to organize collaborative projects Experience - Doctoral degree (PhD) - 6 or more years of experience working in the fields of neuroscience / neuroengineering (including the PhD studies) - 3 or more years of experience in stroke-related research - Strong publication record in the stroke field Contact Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic at epfl.ch. Informal inquiries are welcome. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mm at pdx.edu Wed Sep 16 12:32:33 2020 From: mm at pdx.edu (Melanie Mitchell) Date: Wed, 16 Sep 2020 10:32:33 -0600 Subject: Connectionists: Postdoc position in AI and Cognitive Science at the Santa Fe Institute Message-ID: Announcing a postdoc position at the Santa Fe Institute in Santa Fe, NM, to work on a new interdisciplinary NSF-funded project, "Foundations of Intelligence in Natural and Artificial Systems?. The position involves collaborating with the PIs (Melanie Mitchell of SFI and Melanie Moses of UNM) on research and on planning and participating in workshops on several topics related to broad concepts of intelligence. Candidates are required to have a Ph.D. (by the start date) in an area related to AI or cognitive science and should have broad interests in these fields. The position will last up to two years, subject to performance and available funding. The start date for the position is flexible, but with a rough target of January 2021. Depending on circumstances at the time, the postdoc may begin the position remotely rather than in-person. More information and instructions for applying are given at https://www.santafe.edu/jobs/Postdoctoral-Fellowship-Opportunity-in-Artificial . Applications will be considered as they are received, but applications must be received no later than November 1, 2020. U.S. citizenship is not a requirement, but you should be eligible for J-1 visa sponsorship or a U.S. permanent resident. -------------- next part -------------- An HTML attachment was scrubbed... URL: From evomusart at gmail.com Wed Sep 16 11:36:40 2020 From: evomusart at gmail.com (EvoMUSART 2021) Date: Wed, 16 Sep 2020 17:36:40 +0200 Subject: Connectionists: Call for Papers - EvoMUSART 2021 - 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (Seville, Spain, 7-9 April 2021) Message-ID: ------------------------------------------------ Call for papers for the 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) Please distribute (apologies for cross-posting) ------------------------------------------------ The 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will be held in Seville, Spain, on 7-9 April 2021, as part of the evo* event. EvoMUSART webpage: www.evostar.org/2021/evomusart Special Issue on Genetic Programming and Evolvable Machines The journal "Genetic Programming and Evolvable Machines" (Q2, IF: 1.78) will publish a Special Issue called ?Evolutionary computation in Art, music & Design?. The editors of this Special Issue will be Juan Romero and Penousal Machado. Some authors from EvoMUSART 2021 will be invited to submit a new paper to this Special Issue. The main goal of EvoMUSART is to bring together researchers who are using Artificial Intelligence techniques (e.g. Artificial Neural Network, Evolutionary Computation, Swarm, Cellular Automata, Alife) for artistic tasks such as Visual Art, Music, Architecture, Video, Digital Games, Poetry, or Design. The conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area. Accepted papers will be published by Springer Verlag in the Lecture Notes in Computer Science series. IMPORTANT DATES Submission deadline: 1 November 2020 Conference: 7-9 April 2021 We welcome submissions which use Artificial Intelligence techniques in the generation, analysis and interpretation of Art, Music, Design, Architecture and other artistic fields. Submissions must be at most 16 pages long, in Springer LNCS format. Each submission must be anonymised for a double-blind review process. The deadline for submission is 1 November 2020. Accepted papers will be presented orally or as posters at the event and included in the EvoMUSART proceedings published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. Indicative topics include but are not limited to: * Systems that create drawings, images, animations, sculptures, poetry, text, designs, webpages, buildings, etc.; * Systems that create musical pieces, sounds, instruments, voices, sound effects, sound analysis, etc.; * Systems that create artefacts such as game content, architecture, furniture, based on aesthetic and/or functional criteria; * Systems that resort to artificial intelligence to perform the analysis of image, music, sound, sculpture, or some other types of artistic object; * Systems in which artificial intelligence is used to promote the creativity of a human user; * Theories or models of computational aesthetics; * Computational models of emotional response, surprise, novelty; * Representation techniques for images, videos, music, etc.; * Surveys of the current state-of-the-art in the area; * New ways of integrating the user in the process (e.g. improvisation, co-creation, participation). More information on the submission process and the topics of EvoMUSART can be found at: www.evostar.org/2021/evomusart Papers published in EvoMUSART can be found at: https://evomusart-index.dei.uc.pt We look forward to seeing you in Seville in 2021! The EvoMUSART 2021 organisers Juan Romero Tiago Martins Nereida Rodr?guez-Fernandez (publication chair) From sebastiano.vascon at unive.it Wed Sep 16 15:25:48 2020 From: sebastiano.vascon at unive.it (Sebastiano VASCON) Date: Wed, 16 Sep 2020 21:25:48 +0200 Subject: Connectionists: PostDoc at University of Venice - Knowledge Graph and Graph Neural Network - Deadline 23 Sept 2020 Message-ID: Dear all, we have one open position for a postdoc in the Artificial Intelligence Unit of the European Centre for Living Technology @ Ca? Foscari University of Venice, Italy. *Knowledge Graph and Graph Neural Network* This project aims to develop advanced (deep) machine learning techniques for information extraction from knowledge graphs in the context of cultural heritage. The research activity will focus on the development of innovative methods for static and dynamic clustering on top of knowledge graphs. In this context, graph neural networks will play a central role in generating highly expressive latent representations of knowledge graph nodes. The work will be carried out within the EU funded project H2020, MEMEX: MEMories and EXperiences for inclusive digital storytelling . *Deadline: September 23rd, 2020 at 12:00 Italian Time Zone (CET)* Italian call: https://apps.unive.it/common2/file/download/assegni_ricerca/5f577a63bb84b English call: https://apps.unive.it/common2/file/download/assegni_ricerca/5f577a63bd43c *Deadline: September 23rd, 2020 at 12:00 Italian Time Zone (CET)* Candidates should possess a Ph.D. degree in Computer Science or related disciplines. In addition, they should have a good background in machine learning, and solid programming skills. They must have the ability to work independently and with an interdisciplinary team. We are offering a competitive salary (~28.5K euro per year) and the opportunity to work closely with high-profile members of the project consortia across Europe, in the heart of one of the world's most fascinating cities. The initial appointment will be for one year. For more information do not hesitate to contact me Best regards Sebastiano -- Assistant Professor @ Department of Environmental Sciences, Informatics and Statistics Ca' Foscari University of Venice European Center for Living Technology -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonghyun.harry.lee at hawaii.edu Wed Sep 16 20:54:07 2020 From: jonghyun.harry.lee at hawaii.edu (Jonghyun Harry Lee) Date: Wed, 16 Sep 2020 14:54:07 -1000 Subject: Connectionists: Call for Papers: AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences (AAAI-MLPS 2021) Message-ID: *AAAI Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences (MLPS)* March 22-24, 2021 @Stanford University, Palo Alto, California, USA (or virtual meeting depending on the COVID-19 situation) https://sites.google.com/view/aaai-mlps Key Dates Submission: November 20, 2020, 23:59 GMT Notification: December 18, 2020 Symposium: March 22-24, 2021 With recent advances in scientific data acquisition and high-performance computing, Artificial Intelligence (AI) and Machine Learning (ML) have received significant attention from applied mathematics and physics science community. From successes reported by industry, academia, and research communities, we observe that AI and ML have great potential to leverage scientific domain knowledge to support new scientific discoveries and enhance the development of physical models for complex natural and engineering systems. For example, deep learning supports discovery of new materials and high-energy physics from numerous computer simulations and experiments and let us learn low-dimensional manifolds underlying the acquired data in order to represent the system of interest parsimoniously and effectively. ML has offered new insights on adaptive numerical discretization schemes and numerical solvers, which are clearly distinct from traditional mathematical theories. AI also provides a new way of generalizing constitutive physics laws based on big scientific data sets. Despite the progress, there are still many open questions. Our current understanding is limited regarding how and why AI/ML work and why they can be predictive. AI has been shown to outperform traditional methods in many cases especially with high-dimensional, inhomogeneous data sets. However, a rigorous understanding of when AI/ML is the right approach is largely lacking: for what class of problems, underlying assumptions, available data sets, and constraints are these new methods best suited? The lack of interpretability in AI-based modeling and related scientific theories makes them insufficient for high-impact, safety-critical applications such as medical diagnoses, national security, and environmental contamination. With transparency and a clear understanding of the data-driven mechanism, desirable properties of AI should be best utilized to extend current methods in physical and engineering modeling. Handling expensive training costs and large memory requirements for ever-increasing scientific data sets becomes also important to guarantee scalable science machine learning. This symposium will aim to present the current state of the art and identify opportunities and gaps in AI/ML-based physics science. The symposium will focus on challenges and opportunities for increasing the scale, rigor, robustness, and reliability of physics-informed AI necessary for routine use in science and engineering applications and discuss potential researcher-AI collaborations to significantly advance diverse scientific areas and transform the way science is done. Topics: Authors are strongly encouraged to present papers that combine and blend physical knowledge and artificial intelligence/machine learning algorithms. Topics of interest include but are not limited to the following: 1. Artificial intelligence/machine learning framework that can seamlessly synthesize models, governing equations and data 2. Approaches to encode scientific knowledge in machine learning method and architecture 3. Architectural and algorithmic improvements for scalable physics-informed learning 4. Stability and error analysis for physics-informed learning 5. Software development facilitating the inclusion of physics domain knowledge in learning 6. Discovery of physically interpretable laws from data 7. Applications incorporating domain knowledge into machine learning Submission guideline: We solicit extended abstracts, full papers, and poster abstracts on topics related to the above and can include recent or ongoing research, surveys, and business/use cases. Extended abstracts (2 to 4 pages) and full papers (up to 6 pages) will be peer-reviewed. Posters can be proposed by submitting an abstract (1 to 2 pages). All submissions should follow the AAAI format in the Author Kit , will be handled through EasyChair ( https://easychair.org/conferences/?conf=sss21) and the review will be double-blind to ensure academic integrity. Accepted extended abstracts and full papers shall be published in an open access proceedings site. More details can be found in https://easychair.org/cfp/AAAI_MLPS_2021 Invited Speakers: Animashree Anandkumar, Caltech/NVIDIA Nathan Kutz, University of Washington More invited speakers are to be announced Organizing Committee: Jonghyun Harry Lee, University of Hawai'i at Manoa Eric F. Darve, Stanford University Peter K. Kitanidis, Stanford University Michael W. Mahoney, University of California, Berkeley Anuj Karpatne, Virginia Tech Matthew W. Farthing, U.S. Army Engineer Research and Development Center Tyler Hesser, U.S. Army Engineer Research and Development Center Program Committee: Kevin Carlberg, University of Washington Nathaniel Trask, Sandia National Laboratories Paris Perdikaris, University of Pennsylvania Peter Sadowski, University of Hawai'i at Manoa Hongkyu Yoon, Sandia National Laboratories -------------- next part -------------- An HTML attachment was scrubbed... URL: From mike at kopernikusauto.com Thu Sep 17 05:40:10 2020 From: mike at kopernikusauto.com (Mike Woodcock) Date: Thu, 17 Sep 2020 11:40:10 +0200 Subject: Connectionists: [Jobs] Computer Vision / Machine Learning Engineer In-Reply-To: <2bdb171f-9c43-44ed-9b82-92f691230a24@Spark> References: <2bdb171f-9c43-44ed-9b82-92f691230a24@Spark> Message-ID: <370e9dc8-6312-4f59-99a3-15f971c30d77@Spark> Dear Colleagues, Kopernikus is a startup working on autonomous self-driving cars to deploy solutions in constrained environments like factories, working in partnerships with leading global car manufacturers and suppliers. Our system differentiates from others thanks to our big reliance on cameras and low-budget sensors. The scale of our system has grown substantially and the ML team is in charge of dealing with all this new flow of information. We are looking for a bright Computer Vision / Machine Learning engineer to keep improving the product. Main task: You will be working with a small team in charge of developing new ideas and approaches to the current camera-based products of the company regarding machine learning and computer vision. The objective of the team is exploring ideas regarding different fields of machine learning and computer vision, such as self-supervised learning, visual SLAM algorithms, camera calibration, curriculum learning, object detection, semantic segmentation, tracking etc. You have the potential to contribute significantly to new views and roads for the company and have a significant impact in the direction of the development of the product. What we are looking for: ? Experience in computer vision and machine learning areas such as Depth, visual SLAM, 3D reconstruction, object recognition, etc, ? Preferably the ideal candidate has an MSc, MEng, MRes or PhD in computer science or similar fields, ? Strong Python skills, ? Familiarity with software development and ML frameworks (Pytorch, Tensorflow, AWS, Docker, Git, Linux, etc.), ? Knowledge of C++ or CUDA is a plus, ? Ability to understand, discuss and write SOTA research paper, ? Experience deploying production machine learning models is a plus, ? Familiarity with the whole stack of high-level decision making, motion planning, and low-level control is a plus, ? Industrial or academic experience in automotive, robotics or gaming is useful, ? No level of German is required, ? Independent person comfortable working without much supervision, ? Passionate about ML, CV and AVs. What we offer: ? Competitive compensation. ? Opportunity to join a team working on exciting and challenging problems in hand with big car manufactures. ? The opportunity to contribute significantly to new views and roads for the company and significantly impact in the direction of the development of the product. ? Variety of benefits including learning budgets. More information ? Contract length: Permanent ? Rate: Negotiable ? Location: Leipzig, Germany (preferred) or Berlin, Germany. We are fully aware of the global situation and we take measures catered to each personal situation regarding remote work. If you think you are a good fit for the position or if you do not fit the profile above, but you think you have a profile we might be interested in, we encourage you to apply at the email below. We are always looking for people to join our team. We look forward to hearing from you. Kopernikus Automotive Mike Woodcock, Principal ML Engineer jobs+cvml06 at kopernikusauto.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From jenny.benois-pineau at u-bordeaux.fr Thu Sep 17 10:10:02 2020 From: jenny.benois-pineau at u-bordeaux.fr (jbenoisp) Date: Thu, 17 Sep 2020 16:10:02 +0200 Subject: Connectionists: ICPR'2020 EDL-AI WS. The deadline is coming! Message-ID: <40E03F37-D994-4250-8E57-79F4BDB10387@u-bordeaux.fr> ----------------We apologize if you receive this message several times--------- Call for papers ICPR?2020 Workshop. Submission Site Open **************************Explainable Deep Learning/AI******************** https://edl-ai-icpr.labri.fr/ Date: January 11th 2021 THE SUBMISSION DEADLINE IS COMING - OCTOBER 10th The recent focus of AI and Pattern Recognition communities on the supervised learning approaches, and particularly to Deep Learning / AI, resulted in considerable increase of performance of Pattern Recognition and AI systems, but also raised the question of the trustfulness and explainability of their predictions for decision-making. Instead of developing and using Deep NNs as black boxes and adapting known architectures to variety of problems, the goal of explainable Deep Learning / AI is to propose methods to ?understand? and ?explain? how the these systems produce their decisions. The goals of the workshop are to bring together research community which is working on the question of improving explainability of AI and Pattern Recognition algorithms and systems. The topics of the workshop cover but are not limited to: ? ?Sensing? or ?salient features? of Neural Networks and AI systems - explanation of which features for a given configuration yield predictions both in spatial (images) and temporal (time-series, video) data; ? Attention mechanisms in Deep Neural Networks and their explanation; ? For temporal data, the explanation of which features and at what time are the most prominent for the prediction and what are the time intervals when the contribution of each data is important; ? How the explanation can help on making Deep learning architectures more sparse (pruning) and light-weight; ? When using multimodal data how the prediction in data streams are correlated and explain each other; ? Automatic generation of explanations / justifications of algorithms and systems? decisions; ? Decisional uncertainly and explicability ? Evaluation of the explanations generated by Deep Learning and other AI systems. *** Pannel: ?Toward more explainable Deep Learning and AI systems?, Chair: Dragutin Petcovic(SFSU,USA) Moderator will ask invited speakers to briefly present their opinions and ideas on the topic of the panel and then the audience will be invited to a discussion *** Important Dates: Submission deadline : October 10th 2020 Workshop author notification: November 10th 2020 Camera-ready submission: November 15th 2020 Finalized workshop program: December 1st 2020 *** Paper Submission: The Proceedings of the EDL-AI 2020 workshop will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Papers will be selected by a single blind (reviewers are anonymous) review process. Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines. Two types of contribution will be considered: Full paper (12-15 pages) Short papers (6-8 pages) *** Submission site: is Open https://edl-ai-icpr.labri.fr Program Committee: Christophe Garcia (LIRIS, France) Hugues Talbot (EC, France) Dragutin Petkovic (SFSU,USA) Alexandre Beno?t( LISTIC,France) Mark T. Keane (UCD, Ireland) Georges Quenot(LIG, France) Stefanos Kolias (NTUA, Grece) Jenny Benois-Pineau(LABRI, France) Herv? Le Borgne (LIST, France) Noel O?Connor (DCU, Ireland) Nicolas Thome(CNAM, France) Due to COVID situation, the WorkShop could be hold in Online "live" Format. ALL ACCEPTED PAPERS WILL BE PUBLISHED. Jenny Benois-Pineau, Georges Quenot Workshop Organizers Jenny Benois-Pineau, Professeure en Informatique, Charg?e de mission aux relations Internationales Coll?ge Sciences et Technologies, Universit? de Bordeaux 351, crs de la Lib?ration 33405 Talence France tel.: +33 (0) 5 40 00 84 24 Jenny Benois-Pineau, PhD, HDR, Professor of Computer Science, Chair of International relations School of Sciences and Technologies University of Bordeaux 351, crs de la Lib?ration 33405 Talence tel.: +33 (0) 5 40 00 84 24 -------------- next part -------------- An HTML attachment was scrubbed... URL: From aykut.erdem at gmail.com Thu Sep 17 09:52:06 2020 From: aykut.erdem at gmail.com (Aykut Erdem) Date: Thu, 17 Sep 2020 16:52:06 +0300 Subject: Connectionists: =?utf-8?q?Postdoctoral_Fellowship_in_Grounded_Lan?= =?utf-8?q?guage_Understanding_at_Ko=C3=A7_University_KUIS_AI_Lab=2C_Istan?= =?utf-8?q?bul=2C_Turkey?= Message-ID: <5FD726E9-7884-49CA-B6FC-5EE8BF777DD3@gmail.com> Dear colleagues, We are looking for exceptional candidates for a postdoctoral position in grounded language understanding to join KUIS AI Lab at Ko? University. The position will focus on research on multimodal understanding and reasoning towards learning better representations to capture meaning from multi-sensory data. The successful candidate will be involved in a number of projects, depending on their research interests. This is a full-time position that will have a yearly appointment with annual renewal expected for up to three years in total. The start date for the position is flexible, but the ideal candidate would begin in November 2020. Candidates must possess a Ph.D. in computer vision, natural language processing, or related fields. We are seeking exceptional candidates with great coding skills and strong experience with deep learning. We provide a competitive benefits package: Salary: Competitive salary with respect to industry and raise based on performance Travel: Full support for top-tier conferences. Computation: A laptop, full access to our GPU cluster, and additional cloud support as needed. Other benefits: Private health insurance and subsidy for meals. The Ko? University ??bank Artificial Intelligence Lab (KUIS AI Lab) has 13 core and 20+ affiliated faculty from multiple disciplines, including engineering, basic sciences, medicine, economics, management, and social sciences. Research areas include deep learning, reinforcement learning, representation learning, natural-language processing, robotics, computer vision, autonomous driving, bioinformatics, intelligent interaction, interpretability/explainability, multimedia processing, distributed systems and networks intelligence, systems software and more. More information about the KUIS AI Lab: https://ai.ku.edu.tr If you are interested, please provide a cover letter, a research statement including a summary of relevant past research and future academic goals, names of a minimum of three people that are willing to provide reference letter, and at least one and at most three sample publications. All these documents should be sent electronically via e-mail to Deniz Yuret (dyuret at ku.edu.tr ) or Aykut Erdem (aerdem at ku.edu.tr ) with the subject line [Post-doctoral Fellowship Application]. -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpandolfo at uniss.it Fri Sep 18 02:12:39 2020 From: lpandolfo at uniss.it (Laura Pandolfo) Date: Fri, 18 Sep 2020 08:12:39 +0200 Subject: Connectionists: [Call for Participation] ICLP 2020 - The 36th International Conference on Logic Programming Message-ID: <774679a0-5398-a348-819f-7654cb076b0b@uniss.it> ============================================== *ICLP 2020 - The 36th International Conference on Logic Programming* *September 18 - September 25, 2020* University of Calabria, Rende, Italy https://iclp2020.unical.it ============================================== Since the first conference held in Marseille in 1982, the *International Conference on Logic Programming (ICLP)*?has been the premier international event for presenting research in logic programming. ****CONFERENCE ONLINE**** The conference general chairs together with the program chairs and the ALP Executive, have decided to hold ICLP2020 as a fully virtual conference on the original week (September 18-25, 2020). ****REGISTRATION**** (https://iclp2020.unical.it/registration) Registration is REQUIRED and covers the Main conference together with all associated events, i.e., Workshops, Doctoral Consortium, and Autumn School, whereas the Italian Conference in Computational Logic (CILC) is a co-located event and, therefore, not included in the ICLP registration. ****PROGRAM**** (https://iclp2020.unical.it/program) The ICLP 2020 main conference and all the workshops will be held in a virtual manner. The conference format is a mix of pre-recorded and asynchronous talks, and live engagement such as Q&A sessions. Full details of the main conference program can be seen here: https://iclp2020.unical.it/program ****INVITED SPEAKERS**** (https://iclp2020.unical.it/invited-speakers) We are happy to announce that invited speakers' events will be freely accessible to all via live streaming at the following Facebook page: https://fb.me/iclp2020conference. *Sep 20th, 2020 - _Francesca Rossi_?(T.J. Watson IBM Research Lab, USA)* Talk Title: "When Is It Morally Acceptable to Break the Rules? A Preference-Based Approach" - This is the "EurAI talk" *Sep 21th, 2020 - _Esra Erdem_?(Sabanci University, Turke)* Talk Title:? "Applications of Answer Set Programming where Theory meets Practice" *Sep 22th, 2020 - _Joao Marquez-Silva_?(ANITI, University of Toulouse, France)* Talk Title: ? "Formal Reasoning Methods for Explainability in Machine Learning" *Sep 23th, 2020 - _Luc De Raedt_?(KU Leuven, Belgium)* Talk Title: ? "From Probabilistic Logics to Neuro-Symbolic Artificial Intelligence" *Sep 24th, 2020 - _Marina De Vos_?(University of Bath, UK)* Talk Title: ?"Norms, Policy and Laws: Modelling, Compliance and Violation" - This is the "Woman in LP Talk" /*All the invited talks will be held from 2:30 PM ? 3:30 PM (CEST)/ ****ORGANIZATION**** *General Chairs:* *Sergio Greco, University of Calabria, Italy *Nicola Leone, University of Calabria, Italy *Program Chairs:* *Francesco Ricca, University of Calabria, Italy *Alessandra Russo, Imperial College London, UK *Organizing Chairs:* *Marco Calautti, University of Calabria, Italy *Carmine Dodaro, University of Calabria, Italy *Track Chairs:* *Alexander Artikis, University of Piraeus & NCSR Demokritos, Greece (Applications Track) *Angelika Kimmig, Cardiff University, UK (Applications Track) *Gerhard Friedrich, Universit?t Klagenfurt, Austria (Research Challenges Track) *Fabrizio Riguzzi, Universit? di Ferrara, Italy (Research Challenges Track) *Paul Fodor, Stony Brook University, USA (Sister and Journal Track) *Marco Maratea, University of Genova, Italy (Sister and Journal Track) *Francesca Alessandra Lisi, University of Bari Aldo Moro, Italy (Women in Logic Programming) *Alessandra Mileo, INSIGHT Centre for Data Analytics, Dublin City University, Irland (Women in Logic Programming) *Workshop Chair:* *Martin Gebser, Universit?t Klagenfurt, Austria *Publicity Chair:* *Laura Pandolfo, University of Sassari, Italy *Program Committee:* Mario Alviano, University of Calabria, Italy Nicos Angelopoulos, Wellcome Sanger Institute, UK Marcello Balduccini, Saint Joseph's University, USA Mutsunori Banbara, Nagoya University, Japan Chitta Baral, Arizona State University, USA Roman Bart?k, Charles University, Czech Republic Christoph Benzm?ller, University of Luxembourg, Luxembourg Alex Brik, Google, USA Fran?ois Bry, Ludwig Maximilian University of Munich, Germany Pedro Cabalar, University of Corunna, Spain Francesco Calimeri, University of Calabria, Italy Manuel Carro, Technical University of Madrid (UPM) and IMDEA Software Institute, Spain Angelos Charalambidis, University of Athens, Greece Michael Codish, Ben-Gurion University of the Negev, Israel Stefania Costantini, University of Aquila, Italy Marc Denecker, Katholieke Universiteit Leuven, Belgium Mart?n Di?guez, University of Pau, France Carmine Dodaro, University of Calabria, Italy Agostino Dovier, University of Udine, Italy Thomas Eiter, Vienna University of Technology, Austria Wolfgang Faber, Alpen-Adria-Universit?t Klagenfurt, Austria Thom Fruehwirth, University of Ulm, Germany Marco Gavanelli, University of Ferrara, Italy Martin Gebser, Alpen-Adria-Universit?t Klagenfurt, Austria Michael Gelfond, Texas Tech University, USA Laura Giordano, Universit? del Piemonte Orientale, Italy Gopal Gupta, University of Texas at Austin, USA Michael Hanus, CAU Kiel, Germany Manuel V. Hermenegildo, IMDEA Software Institute and Universidad Polit?cnica de Madrid, Spain Katsumi Inoue, National Institute of Informatics, Japan Tomi Janhunen, Tampere University, Finland Jianmin Ji, University of Science and Technology of China, China Nikos Katzouris, NCSR Demokritos, Greece Michael Kifer, Stony Brook University, USA Zeynep Kiziltan, University of Bologna, Italy Ekaterina Komendantskaya, Heriot-Watt University, UK Evelina Lamma, Universita di Ferrara, Italy Michael Leuschel, University of Dusseldorf, Germany Vladimir Lifschitz, The University of Texas at Austin, USA Francesca Alessandra Lisi, Universit? degli Studi di Bari "Aldo Moro", Italy Yanhong A. Liu, Stony Brook University, USA Marco Maratea, University of Genova, Italy Viviana Mascardi, University of Genova, Italy Yunsong Meng, General Motors, USA Emilia Oikarinen, University of Helsinki, Finland Magdalena Ortiz, Vienna University of Technology, Austria Simona Perri, University of Calabria, Italy Enrico Pontelli, New Mexico State University, USA Ricardo Rocha, University of Porto, Portugal Fariba Sadri, Imperial College London, UK Chiaki Sakama, Wakayama University, Japan Torsten Schaub, University of Potsdam, Germany Konstantin Schekotihin, Alpen-Adria-Universit?t Klagenfurt, Austria Tom Schrijvers, Katholieke Universiteit Leuven, Belgium Guillermo R. Simari, Universidad del Sur in Bahia Blanca, Argentina Tran Cao Son, New Mexico State University, USA Mohan Sridharan, University of Birmingham, UK Theresa Swift, NOVALINKS, Universidade Nova de Lisboa, Portugal Paul Tarau, University of North Texas, Denton, USA Hans Tompits, Vienna University of Technology, Austria Francesca Toni, Imperial College London, UK Irina Trubitsyna, University of Calabria, DIMES Mirek Truszczynski, University of Kentucky, US German Vidal, Universitat Politecnica de Valencia, Spain Alicia Villanueva, Universitat Polit?cnica de Val?ncia, Spain David Warren, SUNY Stony Brook, USA Jan Wielemaker, Vrije Universiteit Amsterdam, Netherlands Stefan Woltran, Vienna University of Technology, Austria Jia-Huai You, University of Alberta, Canada Shiqi Zhang, SUNY Binghamton, USA Neng-Fa Zhou, CUNY Brooklyn College and Graduate Center, USA -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From federico.becattini at unifi.it Fri Sep 18 05:54:08 2020 From: federico.becattini at unifi.it (Federico Becattini) Date: Fri, 18 Sep 2020 11:54:08 +0200 Subject: Connectionists: [CFP] DEADLINE APPROACHING - FBE2020@ICPR2020 - Workshop on Facial and Body Expressions, micro-expressions and behavior recognition Message-ID: *Call for Papers - FBE2020* *Workshop on Facial and Body Expressions, micro-expressions and behavior recognition* January 10th, 2021 - Milan, Italy The workshop will be held in conjunction with ICPR2020: The 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021. Website: https://micc.unifi.it/FBE2020/ Submission deadline: October 10th, 2020 Submission server: https://cmt3.research.microsoft.com/FBE2020 *=== CALL FOR PAPERS ===* In recent years there has been an increasing interest in several fields of research for analyzing human behaviour. Typically these works focus on macro-level recognition such as activities or explicit human-human interactions. Systems built to address these tasks assume that what is recognized corresponds to the true intentions of the observed person. This may not be always the case, since macro-level behaviors can be easily counterfeited. For this reason, the interest in understanding micro-level behaviors has emerged, since these are often connected to involuntary reactions which are less likely to be faked or concealed. Understanding strong, unbiased behaviors is also a key aspect in several fields. For example, in security critical applications, observing posture, gait and small body movements could reveal malicious intentions. Moreover, body movements and behaviors could also be used to profile or re-identificate subjects without harming their privacy. In general, low-level expressions and behaviors are more difficult to recognise than high-level ones, due to the fine-grained nature of the problem. It is also a fact that with the recent technological advancement, the means of data acquisition and processing have also dramatically improved, enabling new applications and analyses. To reliably understand facial micro-expressions, for example, there are both spatial and temporal issues to take into account. On the one hand it is necessary to either acquire and process high-resolution images or rely on different kinds of data such as high-quality depth maps. On the other hand, micro-expressions occur over an extremely short timespan (<500ms) and might not even be detectable with conventional low-framerate cameras. If some years ago it was not possible to acquire these kinds of data and process them, now it certainly is. *=== SCOPE ===* In this workshop we are interested in submissions focused but not limited on low-level characteristics, either facial or related to the human body, aiming at understanding high-level concepts. We are also interested in applications leveraging this information, for user profiling or behavior understanding.The workshop also favours positive criticism of current works and encourages new perspectives on the matter. Moreover, as we are all living in a world where our personal data is used and often abused, we are also interested in privacy issues that arise when profiling users. Finally, we also promote the creation of new datasets for both facial micro-expressions and body behavior understanding. Submissions are invited from all areas of pattern recognition. Topics of interest include (but are not limited to): - Face expressions - Emotion recognition - Behavior analysis - Action recognition - Gait recognition - 3D recognition - Micro-expression recognition - Body analysis - Biometrics - User profiling and suggestion - Deep learning tailored for face and behavior recognition - Representation learning - Unsupervised and semi-supervised learning - Multi-resolution, multi-sensor, multi-modal analysis - Public benchmark datasets and evaluation protocols *=== SUBMISSION ===* All the submissions will be subjected to single-blind review process. Submitted papers should not have been published, accepted or under review elsewhere. The submissions can be up to 12-15 pages for full papers or 6-8 pages for short papers (Springer Template). All the papers must be submitted using the template you can find at this link: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines All the papers should be submitted using CMT: https://cmt3.research.microsoft.com/FBE2020 Accepted submissions will be presented either as oral or posters, and published in the ICPR 2020 Workshops volume, edited by Springer. *=== IMPORTANT DATES ===* Paper submission: October 10th, 2020 Author notification: November 10th, 2020 Camera-Ready Paper submission: November 15th, 2020 *=== ORGANIZERS ===* Vittorio Murino, Istituto Italiano di Tecnologia Moi Hoon Yap, Manchester Metropolitan University, UK Federico Becattini, University of Florence, Italy Federico Pernici, University of Florence, Italy *=== CONTACTS ===* For any question regarding the workshop please contact Federico Becattini at federico.becattini at unifi.it Please distribute this call to interested parties. -- Federico Becattini, Ph.D. Universit? di Firenze - MICC Tel.: +39 055 275 1394 https://www.micc.unifi.it/people/federico-becattini/ https://fedebecat.github.io/ federico.becattini at unifi.it -------------- next part -------------- An HTML attachment was scrubbed... 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URL: From laurenz.wiskott at rub.de Fri Sep 18 10:16:52 2020 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Fri, 18 Sep 2020 16:16:52 +0200 Subject: Connectionists: Funding opportunity for young postdocs in Germany - NRW KI starter program Message-ID: <20200918141652.GE29491@curry.localdomain> Dear Connectionists, I would like to draw your attention to a grant opportunity for young postdocs for an independent research position in North Rhine-Westphalia (NRW), Germany, see https://www.ptj.de/projektfoerderung/kuenstliche-intelligenz-starter (German page) https://www.ptj.de/lw_resource/datapool/systemfiles/cbox/5383/live/lw_bekdoc/ki-starter_call-for-project-funding-application.pdf (English instructions) https://www.ptj.de/lw_resource/datapool/systemfiles/cbox/5382/live/lw_bekdoc/ki-starter_notes-on-application-08012020.pdf (English instructions) The next deadline is already October 1., but competition seems to be moderate and strong applications have a good chance of being funded. You need to find a host institution in NRW, but I assume that most groups working in the field of ML/AI would be happy to host you. Please forward to potential candidates. Best regards and good luck, Laurenz Wiskott. __________________________________________________________________________ Prof. Dr. Laurenz Wiskott room: NB 3/29 Institut f?r Neuroinformatik phone: +49 234 32-27997 Ruhr Universit?t Bochum fax: +49 234 32-14210 D-44780 Bochum, Germany https://www.ini.rub.de/PEOPLE/wiskott/ laurenz.wiskott at rub.de __________________________________________________________________________ From thomas.j.palmeri at vanderbilt.edu Fri Sep 18 19:49:36 2020 From: thomas.j.palmeri at vanderbilt.edu (Palmeri, Thomas J) Date: Fri, 18 Sep 2020 23:49:36 +0000 Subject: Connectionists: Postdoctoral Fellowship in Model-based Cognitive Neuroscience at Vanderbilt Message-ID: <0BC3B96A-BE5A-49BB-9002-52AB67652B08@vanderbilt.edu> Postdoctoral Fellowship in Model-based Cognitive Neuroscience at Vanderbilt (Please forward to potential interested applicants.) We eagerly seek postdoctoral fellows to join an ongoing NEI-funded collaboration between Thomas Palmeri, Jeffrey Schall, and Gordon Logan at Vanderbilt University using cognitive and neural models to understand visual cognition in humans and monkeys. Successful models predict details of observed behavior and are constrained by and predict neurophysiological, electrophysiological, or brain imaging data. Research facilities include several high-end laboratory workstations, computerized behavioral testing stations, a web-based server infrastructure for online experiments, two eye trackers, a shared 10,000+ core CPU cluster and large-scale GPU cluster at Vanderbilt?s ACCRE, state-of-the art facilities for neurophysiology, electrophysiology, and brain imaging, as well as ample office and research space. Postdoctoral fellows will also take advantage of the collaborative environment, facilities, and support in the Department of Psychology (www.vanderbilt.edu/psychological_sciences/) and the Vanderbilt Vision Research Center (vvrc.vanderbilt.edu). And as Dave Grohl of the Foo Fighters said, ?Everybody now thinks that Nashville is the coolest city in America?. Candidates can hold a Ph.D. in psychology, neuroscience, computer science, mathematics, engineering, or related disciplines. Candidates should have demonstrated skills in computer programming and statistical analyses. Some demonstrated experience with computational modeling is required. Some knowledge of vision science and neuroscience is desired but not required. Start date is negotiable, but preference will be given to candidates who can begin this fall or winter. Applications will be reviewed on a rolling basis as they arrive. Salary will be based on the NIH postdoctoral scale. Applicants should send a cover letter with a brief research statement, a current CV, and names and email addresses of three references to: Thomas Palmeri Department of Psychology Vanderbilt Vision Research Center Vanderbilt University Nashville, TN 37240 thomas.j.palmeri at vanderbilt.edu catlab.psy.vanderbilt.edu *apologies for cross-posting* -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Fri Sep 18 14:03:59 2020 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 18 Sep 2020 18:03:59 +0000 Subject: Connectionists: SBP-BRiMS'2020 -- Conference registration now open, Fellowships available In-Reply-To: References: , , , , , , , , , , , , , , , , , , , , , Message-ID: Apologies if you receive multiple copies Conference Registration: Registration is now open for the 2020 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Oct. 18-21, 2020. Conference format is virtual/online. You can register at the website: http://sbp-brims.org/2020/registration/ Conference Fellowships: A limited number of fellowships is available for students and members of underrepresented groups to support participation in the conference. Please apply early as the slots are limited. For more details, visit the conference website http://sbp-brims.org/ , and check the menu for Scholarships, under "Conference Information". Keynote: Barry G. Silverman, PhD Professor Emeritus, Electrical and Systems Engineering, University of Pennsylvania https://www.seas.upenn.edu/~barryg/ Topic: StateSim: A Country Modeling and Systems Engineering Journey For more details, see the website: http://sbp-brims.org/2020/keynote/ Two New Special Tracks: Validation Track: For details, see the CFP at the conference website: http://sbp-brims.org/ COVID-19 Pandemic Track: For details, see the CFP at the conference website: http://sbp-brims.org/ Special Issues : Special issues are planned for selected papers from the main conference, and for the COVID-19 special track. Deadline for submission for Journal Special Issues: Nov. 15, 2020 SBP-BRiMS 2020 Oct. 19 - 21| Online/virtual www.sbp-brims.org Connect with #sbpbrims on social: Follow us on Twitter: http://twitter.com/sbpbrims Like us on Facebook: http://facebook.com/sbpbrims Follow us on LinkedIn: https://www.linkedin.com/company/sbpbrims/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From junfeng989 at gmail.com Sun Sep 20 22:13:32 2020 From: junfeng989 at gmail.com (Jun Feng) Date: Mon, 21 Sep 2020 10:13:32 +0800 Subject: Connectionists: [Last Call][** 14+ Special Issues **][** Virtual **] IEEE DependSys 2020: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications Message-ID: ** Last Call ** [Apologies if you receive multiple copies of this message] Call For Papers ============================================================================= The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (IEEE DependSys 2020), 14-16 December 2020 [**Virtual Conference**][**14+ Special Issues**][**Submission Deadline: Sep. 25**] http://cse.stfx.ca/~dependsys/2020/index.html **NEWS** The IEEE DependSys 2020 Conference was planned to be held in Fiji, December 14-16, 2020. Given the COVID-19 pandemic and associated travel restrictions, as the safety of people is of the highest priority, the conference will be held virtually on December 14-16, 2020. IEEE DependSys 2020 conference is the 6th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2020 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 14+ SCI & EI indexed prestigious journals (confirmed). 1. Information Fusion (IF: 13.669) SI on Fusion from Big Data to Smart Data https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-fusion-from-big-data-to-smart-data 2. Information Fusion (IF: 13.669) SI on Data Fusion for Trust Evaluation https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-data-fusion-for-trust-evaluation 3. IEEE Transactions on Industrial Informatics (IF: 9.112) SI on Digital Twinning: Integration AI-ML and Big Data Analytics for Virtual Representation http://www.ieee-ies.org/images/files/tii/ss/2020/Digital_Twinning_Integrating_AI-ML_and_Big_Data_Analytics_for_Virtual_Representation_2020-4-30.pdf 4. Future Generation Computer Systems (IF: 6.125) SI on Artificial Intelligence for Cyber Defence and Smart Policing https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/artificial-intelligence-for-cyber-defence-and-smart-policing 5. Digital Communications and Networks (IF: 5.382) SI on Blockchain-enabled Technologies for Cyber-Physical Systems and Big Data Applications http://www.keaipublishing.com/en/journals/digital-communications-and-networks/call-for-papers/blockchainenabled-technologies-for-cyberphysica/ 6. IEEE Transactions on Network Science and Engineering (IF: 5.213) SI on Computing and Networking for Cyber-Physical-Social Systems https://www.comsoc.org/publications/journals/ieee-tnse/cfp/computing-and-networking-cyber-physical-social-systems 7. IEEE/CAA Journal of Automatics Sinica (IF: 5.129) SI on Blockchain for Internet-of-Things and Cyber-Physical Systems: Emerging Trends, Issues and Challenges http://www.ieee-jas.org/news/news_en/9248195c-6d90-4868-9962-263ed9ba12f3_en.htm 8. Neurocomputing (IF: 4.438) SI on Edge Intelligence: Neurocomputing Meets Edge Computing https://www.journals.elsevier.com/neurocomputing/call-for-papers/edge-intelligence-neurocomputing-meets-edge-computing 9. IEEE Access (IF: 3.745) SI on Reliability in Sensor-Cloud Systems and Applications (SCSA) https://ieeeaccess.ieee.org/special-sections/reliability-in-sensor-cloud-systems-and-applications-scsa/ 10. Journal of Cloud Computing (IF: 2.788) SI on Security and Privacy Issues for AI in Edge-Cloud Computing https://journalofcloudcomputing.springeropen.com/securityprivacyaiedgecloud?from=singlemessage 11. Journal of Systems Architecture (IF: 2.552) SI on Ubiquitous Edge Computing for Next Generation IoT and 6G: Architecture, Modelling and Systems https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/ubiquitous-edge-computing-for-next-generation 12. Journal of Systems Architecture (IF: 2.552) SI on High-Performance-Computing-Communications for Cyber-Physical-Social Systems https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/high-performance-computing-communications 13. MDPI Electronics (IF: 2.412) SI on Blockchain-based Technology for Mobile Application https://www.mdpi.com/journal/electronics/special_issues/BTMA 14. Software: Practice and Experience SI on Software and Hardware Co-Design for Sustainable Cyber-Physical Systems https://onlinelibrary.wiley.com/pb-assets/assets/page/journal/1097024x/SI_softandhard.pdf * More special issues will be added later. ================== Important Dates ================== Submission Deadline (Hard): 25 September 2020 Authors Notification Date: 25 October 2020 Final Manuscript Due: 15 November 2020 Conference Date: 14-16 December 2020 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N27703) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Mohammad Zulkernine, Queen's University, Canada - Aniello Castiglione, University of Naples Parthenope, Italy - Alireza Jolfaei, Macquarie University, Australia Program Chairs - Salimur Choudhury, Lakehead University, Canada - Qinghua Lu, CSIRO, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Fiji, Fiji - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Mon Sep 21 06:20:46 2020 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Mon, 21 Sep 2020 12:20:46 +0200 Subject: Connectionists: CFP Urban Complex Systems 2020 @CCS2020 Message-ID: Urban Complex Systems December 09 -10, 2020 An Online workshop satellite of the Conference on Complex Systems 2020 Submission deadline: October 28, 2020 Acceptance notification: November 06, 2020 Cities are massive systems whose tremendous complexity requires even greater efforts to be modeled, analyzed, understood and governed. The city is the expression of a multitude of strongly intertwined systems that vary from people sociality to transport systems, from the cultural fabric to urban planning. Each of these city facets already represents in itself a complex system but their interconnection represents what is certainly one of the systems created by human beings with highest complexity in the world. The aim of this event is to bring together researchers and practitioners from around the world interested in urban systems from the perspective of complexity science. Topics of interest include but are not limited to theoretical aspects, algorithms, methods, and fields of applications, such as: ? Urban Analytics ? Social networks ? Human behavior ? Information diffusion ? Epidemic spreading ? Mobility and transportation ? City services & infrastructures ? City monitoring ? Urban planning ? Communication systems ? Economic and financial systems ? Healthcare ? Emergency management ? Smart environment & ecosystems ? Digital city and smart growth ? Sustainability and energy efficiency ? Smart buildings and smart grids ? Manufacturing and logistics ? Intelligent infrastructure ? Blockchain for Smart City Applications *CONTRIBUTION: * Two types of contributions are welcome: ? *Extended Abstracts* about published or unpublished research (2to 3 pages including references). ? *Original research papers* discussing ongoing research projects (10 to 12 pages including references). They must follow the BioMed Central article template available at: https://appliednetsci.springeropen.com/submission-guidelines/preparing-your-manuscript/research-articles *PUBLICATION: * Accepted submission will be invited to submit an extended version of their contribution (either type) to a special issue of Applied Network Science edited by Springer *SUBMISSION WEBSITE* https://easychair.org/conferences/?conf=urbancomplexsystems2 *PC-CHAIRS* Hocine Cherifi *LIB University of Burgundy, France, **hocine.cherifi at gmail.com * Sabrina Gaito *Universit? degli Studi di Milano, Italy, sabrina.gaito at unimi.it * Roberto Interdonato *CIRAD, UMR Tetis, Montpellier, France, **roberto.interdonato at cirad.fr * Hamamache Kheddouci *LIRIS Univ. of Lyon, France hamamache.kheddouci at univ-lyon1.fr * Matteo Zignani *Universit? degli Studi di Milano, Italy, **matteo.zignani at unimi.it * *Join us at *: COMPLEX NETWORKS 2020 Madrid Spain *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.denker at fz-juelich.de Mon Sep 21 08:33:37 2020 From: m.denker at fz-juelich.de (Michael Denker) Date: Mon, 21 Sep 2020 14:33:37 +0200 Subject: Connectionists: Announcement: 2nd Elephant User Workshop for Reproducible Data Analysis in Electrophysiology, Nov 17-19, 2020 Message-ID: <329833c8-7b7d-983d-4745-bb3252fd4a12@fz-juelich.de> ***2nd Elephant User Workshop*** --Accelerate Structured and Reproducible Data Analysis in Electrophysiology-- Virtual Event Nov 17-19, 2020 Summary: This event delves into challenges in the reproducibility of neuroscience workflows dealing with classical electrophysiological activity data, such as spiking data or local field potentials, from experiment or simulation. The training will cover the complete cycle from generating structured and consistent data and metadata, accessing the data, pre-processing, setting up analysis workflows, up to the tracking of the provenance of the analysis results. In this context, the e-infrastructure services of EBRAINS offer a mature data, software and compute services ecosystem with community-driven tools developed in the framework of the Human Brain Project. In the first part of the workshop, participants will be trained in the use of tools covering the following topics: * reading and manipulating electrophysiology data in Python using Neo [1] * analysis of such data using Elephant [2] * best practices for integrating metadata into your workflow to aid the analysis process * best practices for structuring analysis results * tracking data analysis pipelines using the HBP Knowledge Graph [3] * collaboration and sharing documents using the HBP Collaboratory [4] In the second part of the workshop, participants will work together with a tutor in small groups, on their own data and on particular personal interests in the scope of the workshop. To this end, participants are asked to provide a small abstract describing the data set they would like to bring and work on (contents of the dataset, data format, data size...) and the topic they are interested in. The latter may, for example, be related to: annotating the dataset with metadata for collaboration and sharing, working with the dataset in the Neo framework, or performing a certain kind of analysis with the data set. The goal of each group is to get started addressing the topic, identify solutions together with the tutors, and implement a first prototype of the required functionality. For more information and registration, check out: https://www.humanbrainproject.eu/en/education/participatecollaborate/infrastructure-events-trainings/2nd-elephant-user-workshop/ Organizers: Andrew Davison | French National Centre for Scientific Research, France Michael Denker | Forschungszentrum J?lich, Germany Martina Schmalholz | Heidelberg University, Germany References: [1]??? Neo, https://neo.readthedocs.io [2]??? Elephant, https://elephant.readthedocs.io [3]??? HBP Knowledge Graph, https://kg.ebrains.eu [4]??? HBP Collaboratory, https://wiki.humanbrainproject.eu -- Dr. Michael Denker Institute of Neuroscience and Medicine (INM-6) Tel: +49 2461 61-9471 Computational and Systems Neuroscience & Fax: +49 2461 61-9460 Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience www.csn.fz-juelich.de J?lich Research Centre and JARA 52425 J?lich, Germany ---------------------------------------------------------------------- Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ---------------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Sep 21 10:01:52 2020 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 21 Sep 2020 17:01:52 +0300 Subject: Connectionists: Invitation to Fall Short e-course on Drone Vision and Deep Learning, 18-19th November 2020 References: <004001d68ffc$0ab4cd00$201e6700$@csd.auth.gr> Message-ID: <00a801d6901f$c25562d0$47002870$@csd.auth.gr> Dear Drone engineers, scientists and enthusiasts, you are welcomed to register in this Fall Short e-course on Drone (UAV) Vision and Deep Learning with focus on drone vision/perception, imaging, surveillance, infrastructure inspection, media production and cinematography. It will take place on 18-19th November 2020 as an e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your CVML knowledge before/after the course by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your CVML programming skills. The short e-course consists of 16 1-hour lectures organized in two parts (one per day): Part A lectures (8 hours) provide an in-depth presentation to drone systems, mission planning/control and imaging. First, an introduction to multiple drone systems is presented. Then, drone mission planning and control is overviewed, to be complemented by a lecture on drone mission simulations. After reviewing image acquisition, camera geometry (mapping the 3D world on a 2D image plane) and camera calibration, stereo and multi-view imaging systems are presented for recovering 3D world geometry from 2D images. This is complemented by Structure from Motion (SfM) towards Simultaneous Localization and Mapping (SLAM) for vehicle and/or target localization and visual object tracking and 3D localization. Finally, drone communications are overviewed, focusing on drone2ground multiple drone LTE communications, notably on multiple source video compression and streaming. Part B lectures (8 hours) provide first an in-depth presentation of drone computational cinematography that are useful in many applications, besides media production. Then, an introduction to neural networks, provides rigorous formulation of the optimization problems for their training, starting with Perceptron. It continues with Multilayer perceptron training through Backpropagation, presenting many related problems, such as over-/under-fitting and generalization. Deep neural networks, notably Convolutional NNs are the core of this domain nowadays and they are overviewed in great detail. Their application on deep learning for object detection is well presented, as it is a very important issue as well, complemented with a presentation of deep semantic image segmentation. As embedded computing is such an important issue, CVML software development tools and their use in drone imaging is overviewed. This part is concluded with an extremely important drone imaging application, notably, UAV infrastructure inspection. You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-for-autonomous-systems/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 31600+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Course description ?Deep Learning and Computer Vision for Autonomous Systems: Focus on drone vision, imaging, surveillance and cinematography? Part A (8 hours) 1. Introduction to multiple drone systems 2. Drone mission planning and control 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Localization and mapping 6. Object tracking and 3D localization 7. Drone communications 8. Drone mission simulations Part B (8 hours) 1. Drone cinematography 2. Introduction to neural networks, Perceptron 3. Multilayer perceptron. Backpropagation 4. Deep neural networks. Convolutional NNs 5. Deep learning for object/target detection 6. Deep Semantic Image Segmentation 7. CVML software development tools 8. UAV infrastructure inspection Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrichma at uci.edu Tue Sep 22 00:24:20 2020 From: jkrichma at uci.edu (Jeffrey Krichmar) Date: Mon, 21 Sep 2020 21:24:20 -0700 Subject: Connectionists: Postdoctoral Position in Cognitive Robotics at UC Irvine Message-ID: <962BBC79-8B93-48E9-86B8-21AC191A523F@uci.edu> Dear Colleagues, We have an opening for a postdoctoral scholar position in the Cognitive Anteater Robotics Laboratory (CARL) at the University of California, Irvine. The position is for research projects on neurobiologically inspired models of navigation, which are to be implemented on indoor and outdoor robots. Applicants should have a strong computer science background, robotics experience, as well as an interest in neuroscience and/or cognitive science. The specific Federally funded projects include: ? Cognitive Maps in Rats, Robots and Men ? Advantages of Varying Navigational Abilities in Humans and Robots More information about the lab, recent publications, software, and videos can be found at: ? http://www.socsci.uci.edu/~jkrichma ? https://www.youtube.com/user/cognitiveroboticsuci/videos Interested candidates can find specific application requirements and the online application for this position at: ? https://recruit.ap.uci.edu/JPF06408 Your cover letter should specify that you are interested in the postdoctoral position with Jeff Krichmar. If you have any questions, feel free to contact me at: jkrichma at uci.edu About UCI (www.uci.edu): In 1965, the University of California, Irvine was founded with a mission to catalyze the community and enhance lives through rigorous academics, cutting-edge research, and dedicated public service. Today, we draw on the unyielding spirit of our pioneering faculty, staff and students who arrived on campus with a dream to inspire change and generate new ideas. We believe that true progress is made when different perspectives come together to advance our understanding of the world around us. And we enlighten our communities and point the way to a better future. At UCI, we shine brighter. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From jncor at dei.uc.pt Mon Sep 21 17:40:46 2020 From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=) Date: Mon, 21 Sep 2020 22:40:46 +0100 Subject: Connectionists: 4th CfP EvoStar 2021 - The Leading European Event on Bio-Inspired Computation - Seville, Spain. 7-9 April 2021 Message-ID: Dear Colleague(s), Below you will find the updated and fourth call for papers for EvoStar 2021. Feel free to distribute. Thank you for your time! ------------------------------------------------ 4th Call for papers for the EvoStar conference http://www.evostar.org/2021/ Please distribute (Apologies for cross-posting) ------------------------------------------------ ***************************************** News: - Special Issue for EvoMUSART2021: Genetic Programming and Evolvable Machines (Q2, IF: 1.78) will publish a Special Issue on ?Evolutionary computation in Art, music & Design? edited by Juan Romero and Penousal Machado. Some authors from EvoMUSART 2021 will be invited to submit a new paper to this Special Issue. Information at: http://www.evostar.org/2021/evomusart/ - EvoApps: Special Sessions: http://www.evostar.org/2021/evoapps/ Confirmed Special Sessions: .Applications of Bioinspired techniques on Social Networks .Applications of Deep Bioinspired Algorithms .Applications of Nature-inspired Computing for Sustainability and Development .Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition .Evolutionary Machine Learning .Machine Learning and AI in Digital Healthcare and Personalized Medicine .Parallel and Distributed Systems .Soft Computing Applied to Games ****************************************** EvoStar comprises four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years. EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with the inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange. The four conferences include: - EuroGP 24th European Conference on Genetic Programming http://www.evostar.org/2021/eurogp/ - EvoApplications 24th European Conference on the Applications of Evolutionary and bio-inspired Computation http://www.evostar.org/2021/evoapps/ - EvoCOP 21st European Conference on Evolutionary Computation in Combinatorial Optimisation http://www.evostar.org/2021/evocop/ - EvoMUSART 10th International Conference (and 15th European event) on Artificial Intelligence in Music, Sound, Art and Design. http://www.evostar.org/2021/evomusart/ *** Important Dates, Venue and Publication *** Submission Deadline: November 1, 2020 Conference: 7 to 9 April 2021. Venue: Seville, Spain All accepted papers will be printed in the proceedings published by Springer Verlag in the Lecture Notes in Computer Science (LNCS) series. Please, check the website for more information: http://www.evostar.org/2021/ And follow us at: Facebook - https://www.facebook.com/evostarconf/ Twitter - https://twitter.com/EvostarConf/ Instagram - https://www.instagram.com/evostarconference/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From thomas.wennekers at plymouth.ac.uk Mon Sep 21 12:09:05 2020 From: thomas.wennekers at plymouth.ac.uk (Thomas Wennekers) Date: Mon, 21 Sep 2020 16:09:05 +0000 Subject: Connectionists: Full Prof Post in AI Message-ID: Dear All Please have a look at the following advertisement for a Professorship in AI at the University of Plymouth (UK). https://hrservices.plymouth.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=491893Hc8Y&WVID=1602750fTZ&LANG=USA https://www.jobs.ac.uk/job/CBH704/professor-in-artificial-intelligence-machine-learning-computer-science Stay Well! Thomas Wennekers ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif] This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Mon Sep 21 13:39:38 2020 From: mtanveer at iiti.ac.in (M Tanveer) Date: Mon, 21 Sep 2020 23:09:38 +0530 Subject: Connectionists: Call for Papers: ASOC, Elsevier, ANOR, Springer and IEEE TETCI Message-ID: Dear Colleague, We are organizing a few special issues and look forward to receiving your high-quality submissions. Kindly encourage your group to submit high quality papers and if possible please circulate within your circle. (1) Randomization-Based Deep and Shallow Learning Algorithms Journal: Applied Soft Computing, Elsevier Editors: P.N. Suganthan, M. Tanveer, Le Zhang Deadline for submissions: September 30, 2020 (2) Emerging computational intelligence techniques to address challenges in biomedical data and imaging Journal: IEEE Transactions on Emerging Topics in Computational Intelligence Editors: M. Tanveer, Chin-Teng Lin, Chuan-Kang Ting, Javier Andreu Perez Deadline for submissions: March 31, 2021 (3) Robust data analysis and its applications Journal: Annals of Operations Research, Springer Editors: Panos M. Pardalos, Hossein Moosaei, Milan Hlad?k, M. Tanveer Deadline for submissions: Feb 01, 2021 Thank you very much. Kind regards, Tanveer ---------------------------------------------------------- Dr. M. Tanveer Associate Professor and Ramanujan Fellow Discipline of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Tue Sep 22 06:43:34 2020 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Tue, 22 Sep 2020 12:43:34 +0200 Subject: Connectionists: CFP - MAES@ICPR2020 workshop - DEADLINE EXTENDED! Message-ID: ???????????????????? MAES2020 workshop at ICPR2020 ?????????? ---===== Apologies for multiple posting =====--- ?????????? Please distribute this call to interested parties _______________________________________________________________________ ??? Machine Learning Advances Environmental Science (MAES at ICPR2020) ??????????????????????????? workshop at the ??? 25th International Conference on Pattern Recognition (ICPR2020) ???????????????????? Milan, Italy, January 10, 2021 ????????? >>> https://sites.google.com/view/maes-icpr2020/ <<< ??? //?????????? S U B M I S S I O N??? D E A D L I N E?????????? \\ ??? \\??? E X T E N D E D??? T O??? 2 5??? O C T O B E R !!!???? // ??? * PLEASE NOTE THAT PAPERS NOT ACCEPTED IN THE ICPR2020 GENERAL * ?????? SESSION AND FITTING MAES TOPICS COULD BE SUBMITTED HERE !!! ??? ----> https://easychair.org/conferences/?conf=maesicpr2020 <---- _______________________________________________________________________ ?=== Aim & Scope === Environmental data are growing steadily in volume, complexity and diversity to Big Data mainly driven by advanced sensor technology. Machine learning can offer superior techniques for unravelling complexity, knowledge discovery and predictability of Big Data environmental science. The aim of the workshop is to provide a state-of-the-art survey of environmental research topics that can benefit from Machine Learning methods and techniques. To this purpose the workshop welcomes papers on successful environmental applications of machine learning and pattern recognition techniques to? diverse domains of Environmental Research, for instance, recognition of biodiversity in thermal, photo and acoustic images, natural hazards analysis and prediction, environmental remote sensing, estimation of environmental risks, prediction of the concentrations of pollutants in geographical areas, environmental threshold analysis and predictive modelling, estimation of Genetical Modified Organisms (GMO) effects on non-target species. The workshop will be the place to make an analysis of the advances of Machine Learning for the Environmental Science and should indicate the open problems in environmental research that still have not properly benefited from Machine Learning. Extended papers of this workshop will be published as a special issue in the journal of Environmental Modelling and Software, Elsevier. *** Due to the COVID situation, the workshop may be held in a hybrid or online format. All accepted papers will be published. *** ?=== Invited Talk === "Harnessing big environmental data by machine learning", prof. Friedrich Recknagel, School of Biological Sciences, University of Adelaide, Australia (prof. Recknagel's bio: http://www.adelaide.edu.au/directory/friedrich.recknagel) (talk abstract: https://drive.google.com/file/d/12BFBiG4pwN-6TRKCy0OuGHOgue4YbOKJ/view?usp=sharing) ?=== Important Dates === -? 25 October? 2020 - workshop submission deadline(*EXTENDED*) -? 10 November 2020 - author notification -? 15 November 2020 - camera-ready submission -?? 1 December 2020 - finalized workshop program ?=== Organizers === ? Francesco Camastra, Universita' di Napoli Parthenope, Italy ?Friedrich Recknagel, University of Adelaide, Australia ??? Antonino Staiano, Universita' di Napoli Parthenope, Italy ?== Publicity chair == ????? Fabio Bellavia, Universita' di Palermo, Italy _______________________________________________________________________ ?Contacts: antonino.staiano at uniparthenope.it francesco.camastra at uniparthenope.it ?Workshop: https://sites.google.com/view/maes-icpr2020/ ?ICPR2020: https://www.micc.unifi.it/icpr2020/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From mpavone at dmi.unict.it Tue Sep 22 11:25:28 2020 From: mpavone at dmi.unict.it (Mario Pavone) Date: Tue, 22 Sep 2020 17:25:28 +0200 Subject: Connectionists: OLA'2021 - International Conference on Optimization and Learning Message-ID: <20200922172528.Horde.cpDlF_ph4B9fahdo7jhlS3A@mbox.dmi.unict.it> Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************** OLA'2021 International Conference on Optimization and Learning 21-23 June 2021 Catania (Sicilia), Italy http://ola2021.sciencesconf.org/ **************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2021 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2021 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... * Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 10 pages * Important dates: =============== Invited session organization Dec 18, 2020 Paper submission deadline Dec 18, 2020 Notification of acceptance March 24, 2021 * Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for best accepted long papers. All proceedings will be available at the conference. * Conference Steering Committee Chair El-Ghazali Talbi (Univ. Lille & INRIA, France) * Conference Chairs Mario Pavone (Univ. Catania, Italy) Lionel Amodeo (UTT, France) * Conference Program Chairs Bernab? Dorronsoro (Univ. Cadiz, Spain) Vincenzo Cutello (Univ. Catania, Italy) * Organization Committee Rocco A. Scollo (Univ. Catania, Italy) Antonio M. Spampinato (Univ. Catania, Italy) Georgia Fargetta (Univ. Catania, Italy) Carolina Crespi (Univ. Catania, Italy) Jeremy Sadet (Univ. Lille, France) Rachid Ellaia (EMI, Morocco) * Publicity Chairs Juan J. Durillo (Leibniz Supercomputing Center, Germany) Gr?goire Danoy (Univ. Luxembourg, Luxembourg) From msloco01 at mail.bbk.ac.uk Wed Sep 23 04:16:38 2020 From: msloco01 at mail.bbk.ac.uk (Matthew Slocombe) Date: Wed, 23 Sep 2020 09:16:38 +0100 Subject: Connectionists: Analogy in cognition network and seminars Message-ID: <006d01d69181$dc963ad0$95c2b070$@mail.bbk.ac.uk> Dear all, Apologies for any cross posting. Some of you may be interested in an online research network and seminar group that myself and Margarita Pavlova from the University of Kansas have organised. The aim of the group is to provide a forum for the discussion of analogical and relational processes in cognition and learning from multiple disciplinary perspectives (e.g. cognitive science, AI, development, and education amongst others). We have a mailing list, a research repository and hold weekly online seminars during term time - the schedule for the autumn seminar series is below. If of interest, please visit our website (https://sites.google.com/site/analogylist/home) where you can find more information about the group along with recordings of previous seminars. Best wishes, Matt Slocombe === Analogy List Autumn 2020 Seminar Series === Seminars take place over Zoom on Thursdays from *11.00 am - 12.30 pm US Central Time (Chicago)* unless otherwise stated. Zoom links for each seminar are sent via the mailing list each week. Details of how to join the mailing list can be found here: https://sites.google.com/site/analogylist/home "Representing Abstract Semantic Relations in Minds, Brains, and Machines" Prof. Keith Holyoak (University of California, Los Angeles) Oct 01, 11:00 am - 12:30 pm CT "Abstraction and Analogy in Natural and Artificial Intelligence" Prof. Melanie Mitchell (Santa Fe Institute) Oct 08, 11.00 am - 12:30 pm CT "Priming, Pressure, and Learning by Analogy" Dr. Lindsey Richland (University of California Irvine) Oct 15, 11:00 am - 12:30 pm CT "What Causes Change in the Development of Analogical Reasoning?" Matthew Slocombe (Birkbeck, University of London) Oct 22, 11:00 am - 11:45 am CT "Analogies, Games, and the Learning of Mathematics" Dr. Jairo Navarrete (O'Higgins University) Oct 22, 11:45 am - 12:30 pm CT "A New Spin on the Day/Night Cycle: Relational Scaffolding Enhances Children's Understanding of Scientific Models" Dr. Florencia Anggoro (College of the Holy Cross) & Dr. Benjamin Jee (Worcester State University) Oct 29, 10:30 am - 12:00 pm CT - please note the earlier start time of 10:30 am CT "A Connectionist Account of Analogy-Making" Dr. Ivan Vankov (Bulgarian Academy of Sciences) Nov 05, 11:00 am - 12:30 pm CT "The Structural Anchoring of Spontaneous Analogies" Lucas Raynal (Cergy-Pontoise University) & Dr. Katarina Gvozdic (University of Geneva) Nov 12, 11:00 am - 11:45 am CT "The Internal Structure of Semantic Relations: Effects of Relational Similarity and Typicality" Dr. Vencislav Popov (University of Zurich) Nov 12, 11:45 am - 12:30 am CT "Making Neural Nets Simple Enough to Succeed at Universal Relational Generalization" Prof. Kenneth Kurtz (Binghamton University) Nov 17, 11:00 am - 11.45 am CT - please note the change of day to a Tuesday "Toward a Remedy for Inert Knowledge: Evaluating Different Facets of Category Status for Promoting Spontaneous Transfer" Sean Snoddy (Binghamton University) Nov 17, 11:45 am - 12:30 pm CT - please note the change of day to a Tuesday "Infant Relational Learning: Interactions with Visual and Linguistic Factors" Dr. Erin Anderson (Indiana University, Bloomington) Dec 03, 11:00 am - 12:30 pm CT "Preschoolers' Comprehension of Functional Metaphors" Rebecca Zhu (University of California, Berkeley) Dec 10, 11:00 am - 11:45 am CT "Space for Thinking: Spatial Reference Frames and Abstract Concepts" Dr. Ariel Starr (University of Washington) Dec 10, 11:45 am - 12:30 pm CT - Matthew Slocombe Department of Psychological Sciences Birkbeck, University of London www.bbk.ac.uk/psychology/dnl -------------- next part -------------- An HTML attachment was scrubbed... URL: From cls at is.mpg.de Wed Sep 23 05:23:01 2020 From: cls at is.mpg.de (Sarah Danes) Date: Wed, 23 Sep 2020 11:23:01 +0200 Subject: Connectionists: Funded Ph.D. Positions at the Max Planck ETH Center for Learning Systems Message-ID: We invite applications to the doctoral training program of the Max Planck ETH Center for Learning Systems (CLS), a joint academic program between the Eidgenoessische Technische Hochschule (Zurich, Switzerland) and the Max Planck Society, primarily the Max Planck Institute for Intelligent Systems (Stuttgart / Tuebingen, Germany). We are currently accepting applications to join our program in 2021. The goal of the CLS is to advance artificial intelligence by achieving a fundamental understanding of perception, learning and adaption in complex systems within our platform for exchange in research and education. Applicants should have a strong interest in doing basic research in areas such as: ? Machine Learning and Empirical Inference of Complex Systems ? Machine Intelligence, including Machine Vision and Natural Language Understanding ? Perception-Action-Cycle for Autonomous Systems ? Robust Model-Based Control for Intelligent Behavior ? Robust Perception in Complex Environments ? Synthetic, Bio-Inspired, and Bio-Hybrid Micro/Nanoscale Robotic Systems ? Haptic Intelligence ? Data-Driven Computational Biology and Medical Informatics ? Neurotechnology and Emergent Intelligence in Nervous Systems In our highly competitive fellowship program, Ph.D. students are co-supervised by one advisor from ETH Zurich and one from the Max Planck Society. All Ph.D. fellows will register as graduate students at ETH Zurich and, upon successful completion of their Ph.D. project, will be granted a doctoral degree by ETH. The program offers a wide range of activities including retreats, workshops and summer schools. Fellowships will be remunerated through employment contracts with the Max Planck Society and ETH Zurich. The program language is English. Applicants must hold or expect to hold an excellent degree at Masters level in a relevant subject and should be enthusiastic about spending time during their Ph.D. at both CLS partners. Good written and spoken English is essential. Anyone - female or male, any nationality or background - who meets our academic requirements is encouraged to apply. Application is via our online portal; the deadline is midnight (23:59 CET) on November 2, 2020. For further information and to apply please visit: https://learning-systems.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From Boris.Konev at liverpool.ac.uk Wed Sep 23 14:29:03 2020 From: Boris.Konev at liverpool.ac.uk (Konev, Boris) Date: Wed, 23 Sep 2020 18:29:03 +0000 Subject: Connectionists: Three Tenured Faculty Positions at the University of Liverpool: Lecturer in Artificial Intelligence In-Reply-To: <71938743-63A1-4718-A3E9-CAB1791B0F0A@liverpool.ac.uk> References: <71938743-63A1-4718-A3E9-CAB1791B0F0A@liverpool.ac.uk> Message-ID: Job title: Lecturer in Artificial Intelligence Grade 8 (3 Posts) Job reference: 021691 ?41,526 - ?52,560 pa (or pro rata) Closing date: 12-Oct-2020 23:30 Hours of Work: Full Time (also can be Job Share, flexible / part time - minimum of 0.5FTE) Tenure: Permanent We seek to appoint up to three highly motivated, research-focused individuals as Lecturers in Artificial Intelligence (AI) in the Department of Computer Science, University of Liverpool. The successful candidates will undertake research of international standard and contribute to teaching in the Department of Computing Science at undergraduate and postgraduate levels, including the new MSc in Data Science and Artificial Intelligence programme supported by funding from the Office for Students. The appointments will be based on the proven research track record or potential of the candidates. We are particularly interested in fundamental research in any core area of AI that either strengthens our existing research or complements our expertise, interdisciplinary research and collaborations with other areas across and outside the University, and applications of AI and Machine learning leading to economic and social impact outside academia. Specific areas of expertise include but are not limited to: AI in Law; Computer Vision; Explainable AI; Natural Language Processing; Neural-Symbolic Learning and Reasoning; Robotics; Safe, Trustworthy and Robust AI; and Theory of Machine Learning. Exceptional individuals with an excellent track record of research in areas of Computer Science related to AI will also be considered. We value the diversity of our department and welcome applications from all sectors of the community. We recognise that many individuals value flexibility in their work/life balance and we will consider applications to work on a part-time, flexible and job share basis wherever possible (a minimum of 0.5 FTE). We are working to improve the gender balance in the Department of Computer Science, and we particularly welcome applications from women. Please note that in terms of responsibilities and recognition, the position of a newly appointed lecturer in the UK is comparable to that of an assistant professor in the United States. This position is permanent (subject to passing the probation in year 3 of the appointment), with no end date on the contract. ************ Established in 1983, our department has grown into a vibrant environment, investigating key topics for developments in computer science and building a strong international reputation for research. Our key research expertise is in Algorithms and Networks, Economics and Computation, Artificial Intelligence, and Logical Methods in Computer Science. In the UK's 2014 independent Research Excellence Framework exercise, we have been rated 3rd on world-leading (4*) research activity and 10th overall. The Department has enjoyed sustained investment in teaching spaces and specialist facilities. The Department hosts two robotics research labs?the smARTLab and the Trustworthy Robotics Lab. Examples of our interdisciplinary engagement include collaborations with Healthcare, Physical Sciences, Engineering and Geography through the Geographic Data Science Lab, Network Sciences and Technologies Initiative, Leverhulme Centre for Functional Materials Design, Material Innovation Factory, Sensor City, Virtual Engineering Centre, Centre for Autonomous Systems, and the newly established ?12.7million Digital Innovation Facility. ************ For full details and to apply online, please visit: http://recruit.liverpool.ac.uk/ Job reference 021691 More information about the Department of Computer Science at the University of Liverpool can be found on our webpages, https://www.liverpool.ac.uk/computer-science/. -- Prof. Boris Konev Head of Department of Computer Science University of Liverpool Liverpool, L69 3BX, UK Email: konev at csc.liv.ac.uk Tel: (+44) 151 795 4260 URL: http://www.csc.liv.ac.uk/~konev -------------- next part -------------- An HTML attachment was scrubbed... URL: From ksmith at kth.se Wed Sep 23 19:01:14 2020 From: ksmith at kth.se (Kevin Smith) Date: Thu, 24 Sep 2020 01:01:14 +0200 Subject: Connectionists: PhD student in deep learning at KTH Royal Institute of Technology, Stockholm Sweden Message-ID: Job description: Deep learning has dramatically pushed the performance of many intelligent systems, but many important questions remain open for research. How can we make sense of the high capacity of deep networks? How should one interpret its decision making process? How can we transfer knowledge from an information-rich application to tasks where data is scarce? What are the limits of its application in other fields? The role of the doctoral student will be to develop theoretical advances regarding these research questions and focus on applying them to problems in computer vision and/or biomedical image analysis. Possible topics of interest include: knowledge transfer, universal representation and learning, understanding deep networks, explainability, and generative models. Should the student be willing and sufficiently experienced, they will have some freedom to steer the direction of research. This is a four (4) year time-limited position with full funding and support for travel to conferences, etc. It can be extended up to five (5) years with the inclusion of a maximum of 20% departmental duties, typically teaching. In order to be employed, you must apply and be accepted as a doctoral student at KTH. The starting date is open for discussion, though we would like the successful candidate to start as soon as possible. Eligibility To be admitted to postgraduate education, the applicant must have basic eligibility in accordance with either of the following: - passed a degree at advanced level - completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or - in any other way acquired within or outside the country acquired essentially equivalent knowledge - Requirements for English equivalent to English B/6 read more here Selection In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During selection process, candidates will be assessed upon their ability to: - independently pursue his or her work - collaborate with others - have a professional approach and - analyse and work with complex issues - Good knowledge of English and ability to express themselves clearly in speech and writing - Motivation for doctoral studies - Mathematical skillset - Experience in use of deep learning frameworks including TensorFlow, PyTorch, Keras, Caffe, MXNet, etc as well as familiarity with Linux - After qualification requirements, great emphasis will be placed on personal qualities and personal suitability Application: Log into KTH's recruitment system in order to apply to this position ( https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:349832/where:4/). You are responsible to ensure that your application is complete according to the ad. Applications shall include the following documents: 1. A short (1 page) statement of interest with a project proposal describing a topic around deep learning and/or biomedical image analysis that you would like to pursue in your doctoral studies.. 2. Curriculum vitae 3. Transcripts from university/university college 4. Representative publications or another example of the applicant?s original technical writing, e.g., thesis, technical report, etc. Please observe that all material needs to be in English. Your complete application must be received at KTH no later than 08.Oct.2020 11:59 PM CET About KTH and Science for Life Laboratory: KTH Royal Institute of Technology in Stockholm (www.kth.se) is one of Europe?s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden?s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy. The position will be formally placed with the department for Computational Science and Technology (CST) at KTH ( https://www.kth.se/en/csc/forskning/cst), but work will be carried out at the Science for Life Laboratory (www.scilifelab.se). The Science for Life Laboratory (SciLifeLab) is a collaboration between four universities in Stockholm and Uppsala: Karolinska Institutet, KTH, Stockholm University and Uppsala University. It combines advanced technology with broad knowledge in translational medicine and molecular life sciences. Since 2013, SciLifeLab has a mission from the Swedish government to run infrastructure to support researchers nationally and to be an internationally leading center for large-scale analyses in molecular life sciences targeting research in health and environment. Other details: Type of employment: Temporary position longer than 6 months Contract type: Full time First day of employment: According to agreement Salary: Monthly salary Number of positions: 1 Working hours: 100% City: Stockholm County: Stockholms l?n Country: Sweden Reference number: J-2020-1775 Contact: Anna Olan?s Jansson / HR Administrator, annaoj at kth.se Kevin Smith, Associate Professor, ksmith at kth.se Reply allReplyForward -------------- next part -------------- An HTML attachment was scrubbed... URL: From sepand.haghighi at yahoo.com Wed Sep 23 16:22:56 2020 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Wed, 23 Sep 2020 20:22:56 +0000 (UTC) Subject: Connectionists: PyCM 2.9 released: Machine learning library for confusion matrix statistical analysis References: <1310482497.44366.1600892576683.ref@mail.yahoo.com> Message-ID: <1310482497.44366.1600892576683@mail.yahoo.com> https://github.com/sepandhaghighi/pycm https://www.pycm.ir http://list.pycm.ir - notebook_check.py?added?#335 - to_array?method added?#328 - __copy__?method added?#327 - copy?method added?#327 - average?method refactored?#332 Best Regards Sepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Wed Sep 23 17:24:23 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 23 Sep 2020 23:24:23 +0200 Subject: Connectionists: Call for Papers: 5th IEEE ICRAIE 2020: Deadline Extended In-Reply-To: <0dfa6794-ee3e-5bcc-2e9b-918444b98c51@ibspan.waw.pl> References: <0dfa6794-ee3e-5bcc-2e9b-918444b98c51@ibspan.waw.pl> Message-ID: *Please circulate* *FINAL CALL FOR PAPERS* *2020?5^th ?IEEE International Conference (Virtual Mode) on Recent Advances and Innovations in Engineering-ICRAIE 2020* *December 1-3, 2020- IEEE Record # 51050* *Prospective authors from academia as well as Industry are invited to submit their full papers that illustrate original/unpublished research surveying works and industrial applications describing advances and significant innovations in following tracks;* *Track I: Computer Science Engineering / Information Technology* *Track II: Electronics and Communication Engineering* *Track III: Electrical Engineering* ** *Paper Submission:* All the papers should be prepared as per *author guidelines*?given on the website. The manuscript written should be thoroughly checked for grammatical or typographical errors before submission. Authors should ensure that the similarity score of their research paper is not above 25 %. Manuscripts having similarity score more than 25 % shall not be processed. All the review manuscripts should be submitted in PDF format without authors name and affiliations using Edas Conference Management System. However the names of all authors should be registered while submission. *Conference URL;* *http://www.icraie.poornima.org/Call_for_Papers.html *Paper Submission Link;* *https://edas.info/N27552 *** ** *Important Dates:* ?*Last Date of Paper Submission September 30, 2020* ?*Acceptance Notification October 15, 2020* ?*Camera Ready Paper Submission October 31, 2018* ?*Last Date of Registration November 15, 2018* *History:**?First of its edition ICRAIE-2014 (IEEE Record # 33681) was organized by Poornima University and Poornima College of Engineering with Technical Sponsorship of IEEE Delhi Section during 9-11 May 2014. Total 223 papers out of 1620 submissions were presented and all are published on ieeexplore digital library. Second edition ICRAIE-2016 (IEEE Record # 39140) was also organized by Poornima University and Poornima College of Engineering with Technical Sponsorship of IEEE Delhi Section during 23-25 December 2016. There were total 577 submissions out of which 143 were accepted & presented and all are published in IEEE digital library. Third edition, ICRAIE-2018 (IEEE Record # 43534) was organized by MNIT Jaipur, Poornima University and Poornima College of Engineering with Technical Sponsorship of IEEE Delhi Section during 22-25 November 2018. There were total 190 submissions out of which 65 were accepted & presented and all are published in IEEE digital library. Fourth edition ICRAIE?2019 (IEEE Record # 47735) was organized by IEEE IE/IA Joint Chapter Malaysia with 10 % financial support, Poornima College of Engineering and UiTM Kedah with Technical Sponsorship of IEEE Malaysia Section, IEEE CIS Chapter Poland and IEEE Poland Section at University Teknology Mara, Kedah Malaysia during 27-29 November 2019. Total 197 papers were received out of which 45 papers were accepted & presented and are available on IEEE Xplore digital library. All previous proceedings are indexed in SCOPUS.* *5th IEEE International Conference on "Recent Advances and Innovations in Engineering - ICRAIE 2020" is being organized by Poornima College of Engineering with 25% Financial and Technical Sponsorship by IEEE Delhi Section.* *Contact Persons* * Dr. Mahesh Bundele, General Co-Chair* maheshbundele at poornima.org 9828999440 * Dr. Surendra? Yadav, Track Chair* surendra.yadav at poornima.org * Dr. Ajay Khunteta, Track Chair* khutetaajay at poornima.org * Dr. Garima Mathur, Track Chair* drg.mathur at poornima.org * Dr. Virendra Sangtani, Track Chair* virendra.sangtani at poornima.org -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com -------------- next part -------------- A non-text attachment was scrubbed... Name: IEEE Poster CFP 2020 (A3 size (3)_21_SEPT.pdf Type: application/pdf Size: 813382 bytes Desc: not available URL: From marcin at amu.edu.pl Wed Sep 23 05:59:02 2020 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Wed, 23 Sep 2020 11:59:02 +0200 Subject: Connectionists: Final Call for Papers - ICTAS2021 International IEEE conference-Durban, South Africa In-Reply-To: References: Message-ID: <9a231390-fe1a-8452-c02f-718e17d3685a@amu.edu.pl> Dear Colleagues, Let us (e-)meet in Durban! Marcin Paprzycki *Reminder that the final date for paper submission is 10 October 2020.**We look forward to your submissions.* Apologies for cross posting if there are any. Our e*xtremely successful *conference will be running again in 2021, please have a look on the website www.ictas.org We would like to request your participation in our fourth annual Conference on Information Communications Technology and Society (ICTAS) to be held in Durban, South Africa on March 10 and 11, 2021 at the Blue Waters Hotel along the beautiful Durban beachfront. This conference has a *track record of 4 years* and every single paper presented at the past 4 conferences have been published in IEEE Xplore, making them eligible for DHET subsidy. Our conference is technically sponsored by IEEE and financially sponsored by the IEEE South Africa Computer Society. All papers will be double blind reviewed by at least two members of our international technical committee. All accepted and registered papers will be submitted to IEEE for potential inclusion into the IEEE Xplore digital library (ISBN: 978-1-7281-8081-6). Our conference is Scopus indexed and has a growing citation factor. Published papers will be eligible for DHET subsidy. *In the case of travel restrictions relating to the current COVID-19 pandemic, provisions will be made for virtual presentations.* Please feel free to *distribute the attached flyer to as many colleagues as possible*, we welcome all. Regards, ICTAS committee -- Ta wiadomo?? e-mail zosta?a sprawdzona pod k?tem wirus?w przez oprogramowanie AVG. http://www.avg.com -------------- next part -------------- A non-text attachment was scrubbed... Name: ICTAS Flyer Oct Reminder.pdf Type: application/pdf Size: 145079 bytes Desc: not available URL: From bwyble at gmail.com Wed Sep 23 23:16:13 2020 From: bwyble at gmail.com (Brad Wyble) Date: Wed, 23 Sep 2020 23:16:13 -0400 Subject: Connectionists: The Learning Salon speaks with Tony Zador, Friday, Sep 25, 4 pm ET Message-ID: Come join us in a conversation with Tony Zador at the Learning Salon. https://www.worldwideneuro.com/seminar-event.html?id=641 A critique of pure learning and what artificial neural networks can learn from animal brains - Anthony M. Zador *Nature Communications * *volume 10*, Article number: 3770 (2019) Abstract Artificial neural networks (ANNs) have undergone a revolution, catalyzed by better supervised learning algorithms. However, in stark contrast to young animals (including humans), training such networks requires enormous numbers of labeled examples, leading to the belief that animals must rely instead mainly on unsupervised learning. Here we argue that most animal behavior is not the result of clever learning algorithms?supervised or unsupervised?but is encoded in the genome. Specifically, animals are born with highly structured brain connectivity, which enables them to learn very rapidly. Because the wiring diagram is far too complex to be specified explicitly in the genome, it must be compressed through a ?genomic bottleneck?. The genomic bottleneck suggests a path toward ANNs capable of rapid learning. -- Brad Wyble Associate Professor Psychology Department Penn State University http://wyblelab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From bwyble at gmail.com Wed Sep 23 21:11:45 2020 From: bwyble at gmail.com (Brad Wyble) Date: Wed, 23 Sep 2020 21:11:45 -0400 Subject: Connectionists: Join us for Neuromatch conference, Oct 26-30, submissions open! Message-ID: Dear Neuroscience Community, We are excited to announce the launch of Neuromatch Conference (Oct 26-30). The Neuromatch team has been working hard to bring a virtual conference that accepts submissions from all areas of neuroscience, and where all relevant submissions are accepted as a talk! Our goal with this conference is to provide a place where neuroscientists from all over the world get to share research ideas and come together as a community! We?re working hard to make it the most inclusive neuroscience meeting that has ever existed. The deadline for submissions is October 2, 2020, so we encourage you to get your abstracts ready now! There is a $25 registration fee but this is waivable (no validation required) for anyone who cannot pay to attend for any reason. Please view our website for more information regarding submission and registration: neuromatch.io j The conference will be organized by themes, tailored to fit your area of research best. These themes will be: Theme A: Developmental Disorders and Injury Theme B: Excitability, Synapses, and Glia Theme C: Sensory & Motor Systems, and Physiology & Behavior Theme D: Cognition, Motivation and Emotion Theme E: Computation and Techniques Theme F: History, Education, and Society We developed algorithms that will allow us to place you in a virtual room with other scientists and attendees who are interested in similar topics, therefore ensuring an audience that is excited about your talk. The talks will have two formats, and you will be able to choose which one you prefer - Traditional Talk: 12-minute talk plus 3-minute Q&A - Interactive Talk: 5-minute talk plus 10-minute Q&A (this talk is focused on discussion) We hope that you will attend the Neuromatch Conference and consider submitting your abstract for presentation! We would love to hear from you and see everyone?s latest results.. Best wishes, The Neuromatch Team Please follow our social media and visit our website for regular updates @Neuromatch @Neuromatch neuromatch.io -- Brad Wyble Associate Professor Psychology Department Penn State University http://wyblelab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Wed Sep 23 08:53:06 2020 From: interdonatos at gmail.com (Roberto Interdonato) Date: Wed, 23 Sep 2020 14:53:06 +0200 Subject: Connectionists: [DEADLINE APPROACHING] CfP - Soc2Net: 2nd International workshop on Modeling and mining Social-Media-driven Complex Networks @ ASONAM 2020 Message-ID: Soc2Net: 2nd International workshop on Modeling and Mining Social-Media-driven Complex Networks @ ASONAM 2020 Virtual Event: Due to the uncertainty about sanitary measures and travel restrictions, Soc2Net 2020 is planned fully online as a virtual event. http://events.dimes.unical.it/soc2net KEY DATES ---------------- Paper submission deadline: September 28, 2020 Acceptance notification: October 23, 2020 ____________________________ CONTEXT The growing availability of multi-faceted social media data gives rise to unprecedented opportunities for unveiling complex real-world online behaviors. This also supports the proliferation of complex network models where the expressive power of the graph-based relational structure is enhanced through exposing several types of features that are peculiar of the social media platforms. This workshop aims to explore innovative methods that are designed to improve our understanding of behaviors and relations underlying feature-rich networks built upon social media, here called social-media-driven complex networks. Exemplary network models of such kind include heterogeneous, multilayer/multiplex/multirelational networks, temporal, location-aware, and probabilistic networks, and any other type of data-driven network that can be inferred from social media data contexts. The aim of the Soc2Net workshop, that will be held as a virtual event in conjunction with The 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2020), is to bring together researchers and practitioners from around the world interested in 1) exploring different perspectives and approaches to mine social-media-driven complex networks, 2) analyzing user behavior and evolution in social-media-driven complex networks, and 3) building models and frameworks for evaluating the respective approaches. Authors are encouraged to evaluate their models, methods, metrics and algorithms on real-world social networks built upon publicly available datasets. We solicit interdisciplinary submissions focusing on topics of interest to different research communities, including social science, economics and digital humanities. TOPICS - Foundations of Learning and Mining in social-media-driven complex networks - Centrality and Ranking in social-media-driven complex networks - Community Detection in social-media-driven complex networks - Link Prediction in social-media-driven complex networks - Simplification/pruning/sampling of social-media-driven complex networks - User Behavior Modeling in social-media-driven complex networks - Influence propagation in social-media-driven complex networks - Reputation and Trust computing in social-media-driven complex networks - Embedding and Deep Learning in social-media-driven complex networks - Probabilistic and Uncertain social-media-driven complex networks - Time-evolving social-media-driven complex networks - Hypergraph-based modeling, analysis and learning problems - Cross-Domain problems in social-media-driven complex networks - Visualization of social-media-driven complex networks - Personalization and Recommendation in social-media-driven complex networks - Mobility in social-media-driven complex networks - Vertex similarity in multiplex and social-media-driven complex networks - Multiplex and social-media-driven complex networks evolution models - Multiplex network and dynamic network mining - Ensemble learning for social-media-driven complex networks mining - Pattern mining in social-media-driven complex networks SUBMISSION We welcome original contributions, including papers discussing ongoing research projects. Contributions can be of two types: either short position papers (2 to 3 pages including references) or full research papers (6 to 8 pages including references). Papers must follow the IEEE two-column template, in compliance to the main conference. Accepted contributions will be made available electronically through the CEUR Workshop Proceedings platform (http://ceur-ws.org). Authors of selected contributions will be invited to submit an extended version of their accepted paper (either type) to the Frontiers in Big Data journal (https://www.frontiersin.org/journals/big-data). SUBMISSION WEBSITE: https://easychair.org/conferences/?conf=soc2net KEY DATES Paper submission deadline: September 28, 2020 Acceptance notification: October 23, 2020 Final manuscripts due: October 30, 2020 PC-CHAIRS Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato at cirad.fr Sabrina Gaito, Universit? degli Studi di Milano, Italy, gaito at di.unimi.it Alessandra Sala, Nokia Bell Labs, Dublin, Ireland, alessandra.sala at nokia-bell-labs.com Andrea Tagarelli, University of Calabria, Italy, andrea.tagarelli at unical.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Thu Sep 24 03:25:44 2020 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Thu, 24 Sep 2020 09:25:44 +0200 Subject: Connectionists: Post-doc position on adversarial machine learning at the University of Venice, Italy Message-ID: A post-doc position on *adversarial machine learning* is available in the Artificial Intelligence Unit of the European Centre for Living Technology @ Ca? Foscari University of Venice , Italy. The initial appointment will be for one year, renewable on a yearly basis. Link to the call (English) Link the call (Italian) *>>> Deadline: October 15, 2020 <<<* The work will be done within the MIUR-funded project *REXlearn: Reliable and Explainable Adversarial Machine Learning*. The project offers a competitive salary and the opportunity to work closely with high-profile members of the project consortium in the heart of one of the world's most fascinating cities. For more information about these positions, please contact: pelillo at unive.it -- Marcello Pelillo, *FIEEE, FIAPR* Professor of Computer Science Ca' Foscari University of Venice, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From aymar.derugy at u-bordeaux.fr Thu Sep 24 10:50:30 2020 From: aymar.derugy at u-bordeaux.fr (Aymar de Rugy) Date: Thu, 24 Sep 2020 16:50:30 +0200 (CEST) Subject: Connectionists: post-doc (up to 3 years) Biomimetic control of a robotic arm using machine learning based on residual movements of amputees In-Reply-To: <1626332260.4656818.1600958750947.JavaMail.zimbra@u-bordeaux.fr> References: <1995036725.4636228.1600958072013.JavaMail.zimbra@u-bordeaux.fr> <1941258956.4648185.1600958496249.JavaMail.zimbra@u-bordeaux.fr> <1626332260.4656818.1600958750947.JavaMail.zimbra@u-bordeaux.fr> Message-ID: <1793450867.4665260.1600959030349.JavaMail.zimbra@u-bordeaux.fr> Dear All, We are opening the following postdoc position in our lab. See below and attached for the announcement. Sincerely, Aymar de Rugy Call for postdoc application Topic : Biomimetic control of a robotic arm using machine learning based on residual movements of amputees and contextual information Host and location : INCIA team HYBRID, Bordeaux, France Supervision : Aymar de Rugy (INCIA team HYBRID) Collaborations : Pierre-Yves Oudeyer (Flowers team, Inria and Ensta ParisTech) Fr?deric Alexandre (Mnemosyne team, Inria and IMN) Matthieu Lapeyre (Pollen Robotics) Duration : 1 year repeatable two times (funds available for 3 years total) Salary : from 2596? (2086?) to 2867? (2304?) Gross (Net) per month depending on experience. Deadline for application : applications should be sent ASAP for selection in Oct/Nov 2020 and start in January 2021. This postdoc is funded by an ANR-DGA ASTRID project aiming at exploiting natural human arm coordination to improve human-in-the-loop robotic arm control for prosthesis application. Whereas most researches in prosthesis control focusses on myoelectric strategies based on residual muscle activities, a promising alternative aims at exploiting residual movements that are far more reliable and easier to interpret than muscle signals. Our preliminary results in virtual reality (Mick et al., submitted) proved the efficiency of this approach, which enables subjects to grasp bottles of various positions and orientations with performance comparable to that with their true arm, whereas multiple distal joints were controlled on the basis of shoulder movement and contextual knowledge about the movement goal (ie the object to grasp). This project builds upon this initial proof of concept to develop more complex and relevant tasks for amputees, and apply these to the control of an existing robotic arm platform (Reachy, Mick et al 2019, 2020). In addition to applying biomimetic control principles on the open source 3D printed robotic platform Reachy, the overall project involves development of coadaptation strategies between the user and the applied artificial control (Couraud et al., 2018), as well as links to contextual information extraction from gaze-assisted computer vision ( Gonzalez-Diaz et al 2019, P?rez De San Roman et al., 2017 ). Keywords : Robotic Arm Control, Human Movements, Artificial Neural Network, AI/Machine Learning, Motor Control, Biomechanics. Required knowledge and background : - Strong experience and achievements in (humanoid) robotics, and/or in the field of human-robot interaction - Experience in AI / Machine learning and Artificial Neural Networks - Good programing skills (Python, C#, Tensor Flow, Keras, ..) Other requirements: - Interest for sensorimotor control in humans (including neuroscience and biomechanical aspects) - Good writing skills + record of scientific publications - Motivation to work in interdisciplinary project Contact and application : Send CV and letter of motivation to [ mailto:aymar.derugy at u-bordeaux.fr | aymar.derugy at u-bordeaux.fr ] Web : INCIA team HYBRID: [ http://www.incia.u-bordeaux1.fr/spip.php?article340 | http://www.incia.u-bordeaux1.fr/spip.php?article340 ] Inria flowers: [ https://flowers.inria.fr/ | https://flowers.inria.fr/ ] Inria Mnemosyne: [ https://team.inria.fr/mnemosyne/ | https://team.inria.fr/mnemosyne/ ] Pollen Robotics: [ https://www.pollen-robotics.com/ | https://www.pollen-robotics.com/ ] References : 1. Mick S, Segas E, Dure L, Halgand C, Benois-Pineau J, Loeb GE, Cattaert D, de Rugy A (Submitted) Shoulder kinematics plus contextual target information enable control of multiple distal joints of a simulated prosthetic arm and hand. Journal of NeuroEngineering and Rehabilitation . 2. Mick S, Badets A, Oudeyer P-Y, Cattaert D, de Rugy A (2020) Biological plausibility of arm postures influences the controllability of robotic arm teleoperation. Human Factors 3. Mick S, Lapeyre M, Rouanet P, Halgand C, Benois-Pineau J, Paclet F, Cattaert D, Oudeyer P-Y, de Rugy A (2019) Reachy, a 3D-printed human-like robotic arm as a test bed for prosthesis control strategies. Frontiers in NeuroRobotics 13: 65. 4. Gonzalez-Diaz I, Benois-Pineau J, Domenger J-P, Cattaert D, de Rugy A (2019) Perceptually-guided deep neural networks for ego-action prediction: Object grasping. Pattern Recognition . 88: 223-235. 5. Couraud M, Cattaert D, Paclet F, Oudeyer PY, de Rugy A ( 2018 ) Model and experiments to optimize co-adaptation in a simplified myoelectric control system. Journal of Neural Engineering 15(2):026006, doi: 10.1088/1741-2552/aa87cf. 6. Mick S, Cattaert D, Paclet F, Oudeyer P-Y, de Rugy A (2017) Performance and Usability of various Robotic Arm Control Modes from Human Force Signals. Frontiers in NeuroRobotics . 11: 55 . 7. P?rez De San Roman P, Benois-Pineau J, Domenger J-P, Cattaert D, Paclet F, de Rugy A (2017) Saliency Driven Object Recognition in Egocentric Videos with Deep CNN: toward application in assistance to Neuroprostheses. Computer Vision and Image Understanding. 164, 82-91. -- Aymar de Rugy DR2 CNRS, Head of the HYBRID team [ http://www.incia.u-bordeaux1.fr/spip.php?article340 | http://www.incia.u-bordeaux1.fr/spip.php?article340 ] INCIA - Institut de Neurosciences Cognitives et Int?gratives d?Aquitaine Universit? Bordeaux, B?t. 2A- 2?me ?tage - Bureau 27 146 rue L?o Saignat, 33076 Bordeaux cedex tel: 05.57.57.15.09 email: aymar.derugy at u-bordeaux.fr -------------- next part -------------- A non-text attachment was scrubbed... Name: Postdoc_CoBioPro.pdf Type: application/pdf Size: 253328 bytes Desc: not available URL: From doya at oist.jp Thu Sep 24 11:21:41 2020 From: doya at oist.jp (Kenji Doya) Date: Thu, 24 Sep 2020 15:21:41 +0000 Subject: Connectionists: International Symposium on Artificial Intelligence and Brain Science 2020 Online In-Reply-To: <9484abc760404e36956ecf0de874cbc3@OSBPR01MB2821.jpnprd01.prod.outlook.com> References: <45c950987a4f4790a654560b11d1203e@OSBPR01MB2821.jpnprd01.prod.outlook.com> <9484abc760404e36956ecf0de874cbc3@OSBPR01MB2821.jpnprd01.prod.outlook.com> Message-ID: We are going to hold an online symposium that brings together researchers in the forefront of AI and neuroscience. All talks will be made accessible as pre-recorded movies and we will have two-hour live discussion sessions on October 10-12, 2020. Registration is free and open till September 30. Please register from the web site below. ******** International Symposium on Artificial Intelligence and Brain Science http://www.brain-ai.jp/symposium2020/ Time below is in UTC (i.e., 10pm-0am Japan, 2pm-4pm UK, 9am-11am EDT, 6am-8am PDT) 13:00 Get connected 13:15 Greetings: Kenji Doya (OIST) 13:30 Discussion on Keynote: Josh Tenenbaum (MIT) 14:00 Discussion on Session 1: Deep Learning and Reinforcement Learning Chair: Jun Morimoto (ATR) Discussant: Shunichi Amari (RIKEN) Speakers: Yann LeCun (NYU, Facebook), Yutaka Matsuo (U Tokyo), Doina Precup (McGill U) David Silver (DeepMind), Masashi Sugiyama (RIKEN AIP/U Tokyo IRCN) 13:00 Discussion on Session 2: World Model Learning and Inference Chair: Hiroaki Gomi (NTT) Discussant: Mitsuo Kawato (ATR) Speakers: Ila Fiete (MIT), Karl Friston (UCL), Yukie Nagai (U Tokyo IRCN) Maneesh Sahani (Gatsby Unit), Tadahiro Taniguchi (Ritsumeikan U) 14:00 Discussion on Session 3: Metacognition and Metalearning Chair: Masayuki Matsumoto (Tsukuba U) Discussant: Keiji Tanaka (RIKEN) Speakers: Matthew Botvinick (DeepMind), Ryota Kanai (ARAYA), Angela Langdon (Princeton U) Hiroyuki Nakahara (RIKEN CBS), Xiao-Jing Wang (NYU) 13:00 Discussion on Session 4: AI for Neuroscience and Neuromorphic Technologies Chair: Takatoshi Hikida (Osaka U) Discussant: Kunihiko Fukushima (FLSI) Speakers: Jim DiCarlo (MIT), Yukiyaku Kamitani (Kyoto U), Rosalyn Moran (King?s College London) Terry Sejnowski (Salk Institute), Hidehiko Takahashi (Tokyo MDU) 14:00 Discussion on Session 5: Social Impact and Neuro-AI Ethics Chair: Masamichi Sakagami (Tamagawa U) Speakers: Anne Churchland (UCLA), Kenji Doya (OIST), Arisa Ema (U Tokyo IFI) Hiroaki Kitano (SONY CSL), Stuart Russell (UC Berkeley) Sponsor: KAKENHI Project on Artificial Intelligence and Brain Science (http://www.brain-ai.jp) Co-sponsors: RIKEN AIP (https://aip.riken.jp/?lang=en) U Tokyo IFI (https://ifi.u-tokyo.ac.jp/en/) U Tokyo IRCN (https://ircn.jp/en/) Contact: ncus at oist.jp ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu From amanda.louise.jacob at emory.edu Thu Sep 24 16:32:49 2020 From: amanda.louise.jacob at emory.edu (Jacob, Amanda L.) Date: Thu, 24 Sep 2020 20:32:49 +0000 Subject: Connectionists: Simons-Emory Workshop on Neural Dynamics - December 4th Message-ID: Dear all, We are pleased to announce the Simons-Emory Workshop on Neural Dynamics [1], which will livestream on Friday, December 4th from 11am-2pm EST. Registration for the event will open soon. "What could neural dynamics have to say about neural computation, and do we know how to listen?" Speakers will deliver focused 10-minute talks, with periods reserved for broader discussion on topics at the intersection of neural dynamics and computation. Organizer and Moderator: Chethan Pandarinath - ( Emory University and Georgia Tech ) Speakers & Discussants: Adrienne Fairhall - ( U Washington ) Mehrdad Jazayeri - ( MIT ) John Krakauer - ( John Hopkins ) Francesca Mastrogiuseppe - ( Gatsby / UCL ) Abby Russo - ( Princeton ) Krishna Shenoy - ( Stanford ) Saurabh Vyas - ( Columbia ) Please be sure to hold the date. We look forward to your participation! Chethan Pandarinath Investigator, Simons-Emory International Consortium on Motor Control Wallace H. Coulter Department of Biomedical Engineering Department of Neurosurgery Emory Neuromodulation and Technology Innovation Center (ENTICe) Emory University and Georgia Tech Amanda L Jacob Operations Manager, Simons-Emory International Consortium on Motor Control [1] https://www.internationalmotorcontrol.org/dynamicsworkshop.html ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Simons_dynamics_workshop_poster_small_20200924_v4.png Type: image/png Size: 232536 bytes Desc: Simons_dynamics_workshop_poster_small_20200924_v4.png URL: From junfeng989 at gmail.com Fri Sep 25 01:49:54 2020 From: junfeng989 at gmail.com (Jun Feng) Date: Fri, 25 Sep 2020 13:49:54 +0800 Subject: Connectionists: [Last day for submission][** VIRTUAL **][** 14+ Special Issues **] CFP: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications Message-ID: CFP: The 6th IEEE International Conference on Dependability in Sensor, Cloud, and Big Data Systems and Applications (IEEE DependSys 2020), 14-16 December 2020 [Last day for submission][**Virtual Conference**][**14+ Special Issues**][Submission Deadline (Hard): 25 September 2020] http://cse.stfx.ca/~dependsys/2020/index.html **NEWS** The IEEE DependSys 2020 Conference was planned to be held in Fiji, December 14-16, 2020. Given the COVID-19 pandemic and associated travel restrictions, as the safety of people is of the highest priority, the conference will be held virtually on December 14-16, 2020. Accepted papers will be submitted for inclusion in IEEE Xplore Digital Library after they are presented at the virtual conference. Information and instructions on how to prepare for a virtual presentation will be sent separately. Registration fees for the conference will be adjusted. IEEE DependSys 2020 conference is the 6th event in the series of conferences which offers a timely venue for bringing together new ideas, techniques, and solutions for dependability and its issues in sensor, cloud, and big data systems and applications. As we are deep into the Information Age, huge amounts of data are generated every day from sensors, individual archives, social networks, Internet of Things, enterprises and Internet in various scales and format which will pose a major challenge to the dependability of our designed systems. As these systems often tend to become inert, fragile, and vulnerable after a period of running. Effectively improving the dependability of sensor, cloud, big data systems and applications has become increasingly critical. This conference provides a forum for individuals, academics, practitioners, and organizations who are developing or procuring sophisticated computer systems on whose dependability of services they need to place great confidence. Future systems need to close the dependability gap in face of challenges in different circumstances. The emphasis will be on differing properties of such services, e.g., continuity, effective performance, real-time responsiveness, ability to overcome data fault, corruption, anomaly, ability to avoid catastrophic failures, prevention of deliberate privacy intrusions, reliability, availability, sustainability, adaptability, heterogeneity, security, safety, and so on. ============================================================================= IEEE DependSys 2020 is sponsored by IEEE, IEEE Computer Society, and IEEE Technical Committee on Scalable Computing (TCSC). All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI). Best Paper Awards will be presented to high quality papers. Distinguished papers, after further revisions, will be published in 14+ SCI & EI indexed prestigious journals (confirmed). 1. Information Fusion (IF: 13.669) SI on Fusion from Big Data to Smart Data https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-fusion-from-big-data-to-smart-data 2. Information Fusion (IF: 13.669) SI on Data Fusion for Trust Evaluation https://www.journals.elsevier.com/information-fusion/call-for-papers/special-issue-on-data-fusion-for-trust-evaluation 3. IEEE Transactions on Industrial Informatics (IF: 9.112) SI on Digital Twinning: Integration AI-ML and Big Data Analytics for Virtual Representation http://www.ieee-ies.org/images/files/tii/ss/2020/Digital_Twinning_Integrating_AI-ML_and_Big_Data_Analytics_for_Virtual_Representation_2020-4-30.pdf 4. Future Generation Computer Systems (IF: 6.125) SI on Artificial Intelligence for Cyber Defence and Smart Policing https://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/artificial-intelligence-for-cyber-defence-and-smart-policing 5. Digital Communications and Networks (IF: 5.382) SI on Blockchain-enabled Technologies for Cyber-Physical Systems and Big Data Applications http://www.keaipublishing.com/en/journals/digital-communications-and-networks/call-for-papers/blockchainenabled-technologies-for-cyberphysica/ 6. IEEE Transactions on Network Science and Engineering (IF: 5.213) SI on Computing and Networking for Cyber-Physical-Social Systems https://www.comsoc.org/publications/journals/ieee-tnse/cfp/computing-and-networking-cyber-physical-social-systems 7. IEEE/CAA Journal of Automatics Sinica (IF: 5.129) SI on Blockchain for Internet-of-Things and Cyber-Physical Systems: Emerging Trends, Issues and Challenges http://www.ieee-jas.org/news/news_en/9248195c-6d90-4868-9962-263ed9ba12f3_en.htm 8. Neurocomputing (IF: 4.438) SI on Edge Intelligence: Neurocomputing Meets Edge Computing https://www.journals.elsevier.com/neurocomputing/call-for-papers/edge-intelligence-neurocomputing-meets-edge-computing 9. IEEE Access (IF: 3.745) SI on Reliability in Sensor-Cloud Systems and Applications (SCSA) https://ieeeaccess.ieee.org/special-sections/reliability-in-sensor-cloud-systems-and-applications-scsa/ 10. Journal of Cloud Computing (IF: 2.788) SI on Security and Privacy Issues for AI in Edge-Cloud Computing https://journalofcloudcomputing.springeropen.com/securityprivacyaiedgecloud?from=singlemessage 11. Journal of Systems Architecture (IF: 2.552) SI on Ubiquitous Edge Computing for Next Generation IoT and 6G: Architecture, Modelling and Systems https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/ubiquitous-edge-computing-for-next-generation 12. Journal of Systems Architecture (IF: 2.552) SI on High-Performance-Computing-Communications for Cyber-Physical-Social Systems https://www.journals.elsevier.com/journal-of-systems-architecture/call-for-papers/high-performance-computing-communications 13. MDPI Electronics (IF: 2.412) SI on Blockchain-based Technology for Mobile Application https://www.mdpi.com/journal/electronics/special_issues/BTMA 14. Software: Practice and Experience SI on Software and Hardware Co-Design for Sustainable Cyber-Physical Systems https://onlinelibrary.wiley.com/pb-assets/assets/page/journal/1097024x/SI_softandhard.pdf * More special issues will be added later. ================== Important Dates ================== Submission Deadline (Hard): 25 September 2020 Authors Notification Date: 25 October 2020 Final Manuscript Due: 15 November 2020 Conference Date: 14-16 December 2020 ================== Topics of interest include, but are not limited to ================== Track 1: Dependability and Security Fundamentals and Technologies - Concepts, theory, principles, standardization and modelling, and methodologies - Dependability of sensor, wireless, and Ad-hoc networks, software defined networks - Dependability issues in cloud/fog/edge - Security and privacy - Security/privacy in cloud/fog/edge - Homomorphic encryption, differential privacy - Blockchain security - Artificial intelligence - Big data foundation and management - Dependable IoT supporting technologies Track 2: Dependable and Secure Systems - Dependable sensor systems - Dependability and availability issues in distributed systems - Cyber-physical systems (e.g. automotive, aerospace, healthcare, smart grid systems) - Database and transaction processing systems - Safety and security in distributed computing systems - Self-healing, self-protecting, and fault-tolerant systems - Dependability in automotive systems - Dependable integration - Dependability in big data systems - Software system security Track 3: Dependable and Secure Applications - Sensor and robot applications - Big data applications - Cloud/fog/edge applications - Datacenter monitoring - Safety care, medical care and services - Aerospace, industrial, and transportation applications - Energy, smart grid, IoT, CPS, smart city, and utility applications - Decentralized applications, federated learning applications - Mobile sensing applications, detection and tracking Track 4: Dependability and Security Measures and Assessments - Dependability metrics and measures for safety, trust, faith, amenity, easiness, comfort, and worry - Levels and relations, assessment criteria and authority - Dependability measurement, modeling, evaluation, and tools - Dependability evaluation - Software and hardware reliability, verification and validation - Evaluations and tools of anomaly detection and protection in sensor, cloud, big data systems ================== Paper Submission ================== All papers need to be submitted electronically through the conference submission website (https://edas.info/N27703) with PDF format. The materials presented in the papers should not be published or under submission elsewhere. Each paper is limited to 8 pages (or 10 pages with over length charge) including figures and references using IEEE Computer Society Proceedings Manuscripts style (two columns, single-spaced, 10 fonts). You can confirm the IEEE Computer Society Proceedings Author Guidelines at the following web page: http://www.computer.org/web/cs-cps/ Manuscript Templates for Conference Proceedings can be found at: https://www.ieee.org/conferences_events/conferences/publishing/templates.html Once accepted, the paper will be included into the IEEE conference proceedings published by IEEE Computer Society Press (indexed by EI). At least one of the authors of any accepted paper is requested to register the paper at the conference. ================== Organizing Committee ================== General Chairs - Mohammad Zulkernine, Queen's University, Canada - Aniello Castiglione, University of Naples Parthenope, Italy - Alireza Jolfaei, Macquarie University, Australia Program Chairs - Salimur Choudhury, Lakehead University, Canada - Qinghua Lu, CSIRO, Australia - Jun Feng, Huazhong University of Science and Technology, China Steering Committee - Jie Wu, Temple University, USA (Chair) - Md Zakirul Alam Bhuiyan, Fordham University, USA (Chair) - Guojun Wang, Guangzhou University, China - Vincenzo Piuri, University of Milan, Italy - Jiannong Cao, Hong Kong Polytechnic University, Hong Kong - Laurence T. Yang, St. Francis Xavier University, Canada - Sy-Yen Kuo, National Taiwan University, Taiwan - Yi Pan, Georgia State University, USA - A. B. M Shawkat Ali, The University of Fiji, Fiji - Mohammed Atiquzzaman, University of Oklahoma, USA - Al-Sakib Khan Pathan, Southeast University, Bangladesh - Kenli Li, Hunan University, China - Shui Yu, University of Technology Sydney (UTS), Australia - Yang Xiang, Swinburne University of Technology, Australia - Kim-Kwang Raymond Choo, The University of Texas at San Antonio, USA - Kamruzzaman Joarder, Federation University and Monash University, Australia -- Dr. Jun Feng Huazhong University of Science and Technology Mobile: +86-18827365073 WeChat: junfeng10001000 E-Mail: junfeng989 at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From timothee.masquelier at alum.mit.edu Fri Sep 25 06:22:29 2020 From: timothee.masquelier at alum.mit.edu (=?UTF-8?Q?Timoth=C3=A9e_Masquelier?=) Date: Fri, 25 Sep 2020 12:22:29 +0200 Subject: Connectionists: Reminder - postdoctoral position in computational neurosciences at CERCO, Toulouse, France Message-ID: *1- FLAG-ERA Post-doctoral fellowship in the Cerco laboratory (Toulouse, France) on computational neurosciences and multisensory integration* Starting date: first semester of 2021 A postdoctoral research position is available to work at the Cerco laboratory under the supervision of Benoit Cottereau (CNRS researcher) and in close collaboration with Timoth?e Masquelier and C?line Cappe (both CNRS researchers). This position is funded by a European FLAG-ERA project ( https://www.humanbrainproject.eu/en/about/project-structure/partnering-projects/domino/) driven by the University of Amsterdam, the Italian Institute of Neuroscience, the Panteion University in Greece and the Cerco. The aim of the project is to develop computational models that explain the normal and abnormal development of multisensory integration (in particular of audio-visual integration) in the mammal brain. These models will be based on spiking neural networks and regulated by bio-inspired plasticity rules (see e.g. Chauhan et al., 2018). They will be validated from electrophysiological recordings performed in mice by the Dutch partners of the project. The applicant should have a solid background in computational neurosciences, signal processing as well as very good programming skills. Knowledge on sensory systems would be highly appreciated. As the project is international and will necessitate multiple interactions between the different partners, the applicant should be keen on working in interdisciplinary environments, and should be fluent in English (French is not mandatory). Toulouse is the second university hub in France (after Paris). It is also an attractive city with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean sea and the Spanish border). The position is for up to 24 months with standard French salaries. Applications should be sent to benoit.cottereau at cnrs.fr including a CV and 2 names of references. *Reference:* Chauhan, T., Masquelier, T., Montlibert, A., & Cottereau, B. R. (2018). Emergence of binocular disparity selectivity through Hebbian learning. *Journal of Neuroscience*, *38*(44), 9563-9578. -- Timoth?e Masquelier - timothee.masquelier at cnrs.fr - http://cerco.ups-tlse.fr/~masquelier/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From axel.soto at cs.uns.edu.ar Fri Sep 25 08:19:05 2020 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Fri, 25 Sep 2020 09:19:05 -0300 Subject: Connectionists: ACM IUI 2021: Call for papers (update on paper format) Message-ID: *** ACM IUI 2021: Call for Papers *** * College Station, TX * April 13-17, 2021 * http://iui.acm.org/2021/ * Contact: program2021 at iui.acm.org ## IMPORTANT UPDATE Please check the updated paper format and length restrictions for short and long papers on https://iui.acm.org/2021/call_for_papers.html ## Upcoming deadlines Abstract: Oct 2, 2020 (compulsory) Paper submission: Oct 9, 2020 ## ACM IUI 2021 ACM IUI 2021 is the 26th annual premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) and Artificial Intelligence (AI) communities meet, with contributions from related fields such as psychology, behavioral science, cognitive science, computer graphics, design, the arts, and more. Our focus is on improving the interaction between humans and digital technology, by leveraging both HCI approaches and state-of-the art AI techniques from machine learning, natural language processing, data mining, knowledge representation and reasoning. ### Why you should submit to ACM IUI While other conferences focus on either the AI or HCI side of this research, we address the complex interaction between the two. We strongly encourage submissions that simultaneously discuss research from both HCI and AI. We also welcome works that focus more on one side or the other, but still highlight the connections between the two. We value papers that contribute methodology or theory for the evaluation of intelligent user interfaces. We do not require evaluations with users, but we do expect papers to include an appropriate evaluation for their stated contributions. ACM IUI welcomes contribution from all relevant arenas?academia, industry, government, and non-profit organizations?and gives its participants the opportunity to present and see cutting-edge IUI work in a focused and interactive setting. The conference is large enough to be diverse and lively, but small enough to allow for extensive interaction among attendees and easy attendance to the events that the conference offers, ranging from oral paper presentations, poster sessions, workshops, panels and a doctoral consortium for graduate students. ### COVID-19 statement We are monitoring the situation regarding the global pandemic and associated travel restrictions. If needed, we will offer a virtual presentation option if the conference cannot take place due to the global pandemic, or if registered authors from specific parts of the world cannot attend the conference. ## Papers We accept two forms of contributions: full and short papers. They should both make novel contributions to IUI, however full papers should make more substantial and significant contributions, while short papers can contain more focused contributions. Accepted papers will appear in the ACM Digital Library and citation indices. A selected set of accepted top quality full papers will be invited to submit their extended versions for publication in an ACM Transactions on Interactive Intelligent Systems (TiiS, http://tiis.acm.org) special issue titled "Highlights of IUI 2021". ## Topics IUI topics of interest include, but are not limited to: * Application areas * Internet of Things (IoT) * Education and learning-related technologies * Health and intelligent health technologies * Assistive technologies * Social media and other Web technologies * Mobile applications * Artificial personal assistants * Information retrieval, search, and recommendation systems * Interface types * Affective and aesthetic interfaces * Collaborative interfaces * Speech-based interfaces * AR/VR interfaces * Intelligent wearable and mobile interfaces * Ubiquitous smart environments * Modalities * Agent based interfaces (e.g., embodied agents, virtual assistants) * Multi-modal interfaces (speech, gestures, eye gaze, face, physiological information etc.) * Conversational interfaces * Tangible interfaces * Intelligent visualization * Methods and approaches * Methods for explanations (e.g., transparency, control, and trust) * Persuasive technologies in IUI * Privacy and security of IUI * Planning and plan recognition for IUI * Knowledge-based approaches to user interface design and generation * User Modelling for Intelligent Interfaces * User-Adaptive interaction and personalization * Crowd computing and human computation * Human-in-the loop machine learning * Evaluations of intelligent user interfaces * User experiments * User studies * Reproducibility (including benchmarks, datasets, and challenges) * Meta-analyses * Mixed-methods evaluations ## Dates * Oct 2, 2020: Abstract deadline (compulsory) * Oct 9, 2020: Papers deadline * Dec 14, 2020: Notification * Feb 8, 2021: Camera ready due * Apr 13, 2021: Conference starts ## Submission Guidelines Check the submission guidelines on the conference page: https://iui.acm.org/2021/call_for_papers.html ## Program Chairs * John O?Donovan, University of California, Santa Barbara * Bart Knijnenburg, Clemson University * Paul Teale, Texas A&M * Jeeeun Kim, Texas A&M * Aaron Adler, Raytheon BBN Technologies * Manoj Prasad, Microsoft * Contact: program2021 at iui.acm.org From xavier.hinaut at inria.fr Fri Sep 25 11:27:35 2020 From: xavier.hinaut at inria.fr (Xavier Hinaut) Date: Fri, 25 Sep 2020 17:27:35 +0200 Subject: Connectionists: SMILES virtual workshop @ICDL 2020: extended DEADLINE In-Reply-To: <090EF4B3-8B59-4A20-8BD8-6148DC3B205C@inria.fr> References: <5d4afc96011b44fd8d6a6a19c51cba5a@ac3e.cl> <733A2658-E810-4264-B479-F728088E63BB@inria.fr> <2794045E-DC0D-4349-8002-2780809CCF23@gmail.com> <18F7C3A3-5E45-4668-893D-4875C15A3531@inria.fr> <3C8BDD1D-CB33-4D46-977D-AFFC91779A28@inria.fr> <090EF4B3-8B59-4A20-8BD8-6148DC3B205C@inria.fr> Message-ID: The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place virtually at the ICDL 2020, on 2nd & 3rd November 2020. * Call for abstracts and papers: - *** Deadline: extended to 12th of October 2020 *** - paper abstracts: 2 pages - long papers: 4-6 pages - Submissions: smiles.conf at gmail.com - Papers format: free format, but similar shape to ICDL conference https://cis.ieee.org/publications/t-cognitive-and-developmental-systems/tcds-information-for-authors - Workshop dates: 2nd & 3rd November 2020 afternoons (1 to 6 pm CET) * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Sensori-motor learning, - Symbol grounding and symbol emergence, - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - workshop website : https://sites.google.com/view/smiles-workshop/ - contact: smiles.conf at gmail.com - organizers: Xavier Hinaut, Clement Moulin-Frier, Silvia Pagliarini, Joni Zhong, Loo CHU KIONG, Michael Spranger, Tadahiro Taniguchi - ICDL conference website: https://cdstc.gitlab.io/icdl-2020/ Xavier Hinaut Inria Researcher (CR) Mnemosyne team, Inria LaBRI, Universit? de Bordeaux Institut des Maladies Neurod?g?n?ratives +33 5 33 51 48 01 www.xavierhinaut.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From whitney.tabor at uconn.edu Sat Sep 26 21:28:09 2020 From: whitney.tabor at uconn.edu (Tabor, Whitney) Date: Sun, 27 Sep 2020 01:28:09 +0000 Subject: Connectionists: PhD positions in psychology of language/music---computational and empirical emphasis Message-ID: Please circulate as appropriate. Apologies for cross-posting. PhD positions in UConn?s Language & Cognition Program The Language & Cognition faculty at the University of Connecticut?s Department of Psychological Sciences are soliciting applications for PhD students to begin in the fall of 2021. The Language & Cognition group is part of the Perception-Action-Cognition division, one of 6 highly interactive divisions within the department. We have a strong track record in interdisciplinary research with work spanning from theory and computational modeling to empirical cognitive and neuroscience research. Our work is animated by a focus on the interplay between new cognitive science insights and the classical foundation in the computational theory of mind in a broad range of domains (e.g., brain plasticity, embodied cognition, event dynamics, reading, music cognition, dynamical systems methods). Our group is a core member of three interdisciplinary graduate training programs: Neurobiology of Language (launched with NSF IGERT funding), Science of Learning & Art of Communication (funded by an NSF NRT training grant), and the Cognitive Neuroscience of Communication (funded by an NIH pre- and postdoctoral training grant). Facilities include state-of-the-art MRI, high-density EEG, tDCS, TMS, eyetracking and other behavioral techniques, as well as access to computing clusters, lab space, and a dynamic program of colloquia, internal talk series and interest groups. We have strong collaborative links to researchers outside of UConn as well as our colleagues in Linguistics, Speech, Language, & Hearing Sciences, Philosophy, Biomedical Engineering, Educational Psychology, and UConn Health and the Medical School. Typically, students are funded through a mix of fellowships and Teaching and Research Assistantships, and our students have an excellent recent track record competing for external and internal fellowships. UConn is home to a vibrant community of faculty and students and expects to see major growth in research activity over the next decade. The Language & Cognition faculty, and their interests, include: Gerry Altmann (Director, CT Institute for the Brain and Cognitive Sciences). Sentence processing and prediction; the mapping between language and vision; event cognition. Christian Brodbeck Cognitive neuroscience of language, speech perception, EEG/MEG. Roeland Hancock (Associate Director, Brain Imaging Research Center). Neurochemistry and neuromodulation; Neurobiology of sentence processing; Auditory Processing. Fumiko Hoeft (Director, Brain Imaging Research Center). Brain development; various neuroimaging methods; machine learning; individual differences; literacy acquisition; dyslexia. Ed Large Auditory neuroscience; music psychology; dynamical systems. Jim Magnuson (Director, NSF NRT training program in Science of Learning & Art of Communication). Neurobiology and psychology of language; spoken language understanding; computational modeling; language and learning over the lifespan; science communication. Emily Myers (Co-Director, NIH training program in the Cognitive Neuroscience of Communication). Speech perception; cognitive neuroscience of speech and language; aphasia; second language acquisition. Ken Pugh (President, Haskins Laboratories). Reading; reading disorders; neurobiology of language. Jay Rueckl Neurobiology and psychology of reading; implicit and explicit memory; statistical learning; computational modeling and dynamical systems. Whit Tabor Sentence processing; theory of grammar; dynamical systems; neural networks; language change; group coordination. Eiling Yee Semantic memory and the neural representation of concepts; spoken word recognition and situated/embodied language processing. Next steps: Contact a potential faculty advisor from the list above, explore UConn and the application procedure. Application deadline: December 1, 2020. Whitney Tabor (860) 486-4910 (office) Department of Psychology (860) 486-2760 (fax) University of Connecticut (860) 486-6080 (lab) Storrs, CT 06269-1020 whitney.tabor at uconn.edu USA BOUS Room 124 (office) https://wp.solab.uconn.edu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Sun Sep 27 02:11:00 2020 From: suashdeb at gmail.com (Suash Deb) Date: Sun, 27 Sep 2020 11:41:00 +0530 Subject: Connectionists: For ISMSI21 (Seychelles) Message-ID: Dear colleagues, The *5**th International Conference on Intelligent Systems, Metaheuristics Swarm Intelligence (ISMSI 2021)* will be held in *Victoria, Seychelles (10th-11th April, 2021)- * For more info pls. visit http://ismsi.org ISMSI is one of the annual intl. event of *llCCl* (http://www.iicci.in/) *EURO* (The Association of European Operational Research Societies) & *EU/ME *its Spl. Interest Group on Metaheuristics are the *technical co-sponsors* for the event. *Submission Deadline* 20th Nov 2020 Notification date: December 15, 2020 *Proceedings* Apart from the *ACM published proceedings* there is scope for a selected subset of papers to be considered for publication at a special issue of the *NCAA journal *(a *Springer* publication with *2019 Impact Factor & 5 year Impact Factor of 4.774 & 4.627 respectively* https://www.springer.com/journal/521). We hope to receive your manuscript(s) in the coming days. Best regards, Suash General Chair, ISMSI 2021 -------------- next part -------------- An HTML attachment was scrubbed... URL: From xiaochun.cheng at gmail.com Sun Sep 27 17:34:15 2020 From: xiaochun.cheng at gmail.com (Xiaochun Cheng) Date: Sun, 27 Sep 2020 22:34:15 +0100 Subject: Connectionists: Special Issue on Complex Industrial Intelligent Systems Message-ID: <000401d69515$faf76f20$f0e64d60$@gmail.com> Welcome to submit your relevant original papers to the following special issue: Special Issue on Complex Industrial Intelligent Systems https://onlinelibrary.wiley.com/pb-assets/assets/1098111X/Complex%20Industri al%20Intelligent%20Systems%20SI-1599226479497.pdf International Journal of Intelligent Systems (https://onlinelibrary.wiley.com/journal/1098111x) [Our apologies if you receive multiple copies of this CFP] -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Sep 28 21:41:25 2020 From: dwang at cse.ohio-state.edu (Wang, Deliang) Date: Tue, 29 Sep 2020 01:41:25 +0000 Subject: Connectionists: NEURAL NETWORKS, Oct. 2020 Message-ID: Neural Networks - Volume 130, October 2020 https://www.journals.elsevier.com/neural-networks Stability of delayed inertial neural networks on time scales: A unified matrix-measure approach Qiang Xiao, Tingwen Huang Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals Syed Aamir Ali Shah, Lei Zhang, Abdul Bais Block-term tensor neural networks Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, ... Zenglin Xu Heart sound classification based on improved MFCC features and convolutional recurrent neural networks Muqing Deng, Tingting Meng, Jiuwen Cao, Shimin Wang, ... Huijie Fan Learning explicitly transferable representations for domain adaptation Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Yang Yang R-ELMNet: Regularized extreme learning machine network Guanghao Zhang, Yue Li, Dongshun Cui, Shangbo Mao, Guang-Bin Huang A learning approach with incomplete pixel-level labels for deep neural networks Nhu-Van Nguyen, Christophe Rigaud, Arnaud Revel, Jean-Christophe Burie Hybrid neural network with cost-sensitive support vector machine for class-imbalanced multimodal data Kyung Hye Kim, So Young Sohn Towards explainable deep neural networks (xDNN) Plamen Angelov, Eduardo Soares k-hop graph neural networks Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini, Zied Lachiri Self-organizing subspace clustering for high-dimensional and multi-view data Aluizio F.R. Araujo, Victor O. Antonino, Karina L. Ponce-Guevara Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization Cheng Lian, Zhigang Zeng, Xiaoping Wang, Wei Yao, ... Huiming Tang Discretely-constrained deep network for weakly supervised segmentation Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, ... Christian Desrosiers Investigating object compositionality in Generative Adversarial Networks Sjoerd van Steenkiste, Karol Kurach, Juergen Schmidhuber, Sylvain Gelly A novel feature representation: Aggregating convolution kernels for image retrieval Qi Wang, Jinxing Lai, Luc Claesen, Zhenguo Yang, ... Wenyin Liu Controller design for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks with uncertain parameters and time-varying delays Emel Arslan, G. Narayanan, M. Syed Ali, Sabri Arik, Sumit Saroha Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness Pengzhan Jin, Lu Lu, Yifa Tang, George Em Karniadakis Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities Jiahui Li, Zidong Wang, Hongli Dong, Weiyin Fei Quantum neural networks model based on swap test and phase estimation Panchi Li, Bing Wang Fixed-time synchronization of stochastic memristor-based neural networks with adaptive control Hongwei Ren, Zhiping Peng, Yu Gu Asynchronous dissipative filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts Xia Zhou, Jun Cheng, Jinde Cao, Minvydas Ragulskis A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling Wenjing Li, Minghui Chu, Junfei Qiao Visual interaction networks: A novel bio-inspired computational model for image classification Bing Wei, Haibo He, Kuangrong Hao, Lei Gao, Xue-song Tang Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines Yanyan Shen, Khashayar Khorasani Feature fusion via Deep Random Forest for facial age estimation O. Guehairia, A. Ouamane, F. Dornaika, A. Taleb-Ahmed -------------- next part -------------- An HTML attachment was scrubbed... URL: From dayan at tue.mpg.de Mon Sep 28 11:25:30 2020 From: dayan at tue.mpg.de (Peter Dayan) Date: Mon, 28 Sep 2020 17:25:30 +0200 Subject: Connectionists: Postdoc with Sonia Bishop in Computational Psychiatry at UC Berkeley In-Reply-To: <20200607141740.GA19025@tuebingen.mpg.de> References: <20200607141740.GA19025@tuebingen.mpg.de> Message-ID: <20200928152530.GA13706@tuebingen.mpg.de> Postdoc in Computational Psychiatry at UC Berkeley The UC Berkeley Helen Wills Neuroscience Institute is looking to hire a postdoctoral researcher to work on an exciting, newly funded, five-year NIH project. This project brings together researchers with expertise in computational psychiatry, computational and cognitive neuroscience and clinical science from the Psychology Department and Helen Wills Neuroscience Institute at UC Berkeley and from the Max Planck Institute for Biological Cybernetics in T?bingen, Germany. Faculty involved include Professor Sonia Bishop (Psychology & HWNI, UC Berkeley), Professor Anne Collins (Psychology & HWNI, UC Berkeley), Professor Sheri Johnson (Psychology, UC Berkeley) and Professor Peter Dayan (MPI, T?bingen, Germany). This provides an exciting opportunity for a postdoctoral candidate to work at the cutting edge of computational psychiatry research and to take on a pivotal role in this team. The aim of the project is to use a computational approach to delineate component processes contributing to probabilistic decision-making across positive and negative valence domains, to investigate their neural substrate (using fMRI), and to relate abnormalities in these processes and alterations in associated neural function to dimensional measures of psychopathology. In addition, we aim to develop tasks and models that can be shared with the broader computational psychiatry and RDoC community. For pertinent theoretical and empirical work by team members please see: http://bishoplab.berkeley.edu/bishop_2018.pdf http://bishoplab.berkeley.edu/Browning_et_al_NatNeuroscience_2015.pdf https://pubmed.ncbi.nlm.nih.gov/32710256/ The successful applicant will have the opportunity to take an early lead on studies conducted as part of this 5-year project and to contribute intellectually to their development and direction. The postdoc will be based within the Computational Psychiatry and Affective Cognitive Neuroscience laboratory at UC Berkeley (please note, given Covid, there may be an opportunity for remote working in year 1 - feel free to inquire). The CPACN lab is located within the new Berkeley Way West (BWW) building which houses the Department of Psychology and multiple cognitive neuroscience, computational and clinical research groups, providing a rich and stimulating scientific community. BWW is within a 2 minute walk of the H. Wheeler Brain Imaging Center, located within the Li Ka Shing Center for Biomedical and Health Sciences which is home to two 3T MRI scanners and one 7T scanner. There will also be the opportunity for annual collaborative trips to the Max Planck Institute for Biological Cybernetics in T?bingen, Germany. We are looking for an individual who is strongly motivated to pursue an academic career and is excited by the opportunities for personal and career development this position can provide. In addition to regular interactions with, and training by, members of the project team, the successful applicant will be able to take advantage of the many opportunities provided by the broader scientific community at UC Berkeley, including participation in weekly seminars and advanced computational modelling and fMRI courses provided by the HWNI and Psychology Department. There are also many opportunities for more informal interactions with members of the local scientific community. We seek postdoctoral applicants with established computational modelling skills and a PhD in cognitive science, cognitive neuroscience or a related discipline. Experience with fMRI is preferred but not required. Strong programming skills (ideally in python or matlab) are required. Candidates should have a track record of productivity and show potential for success in working in a team environment. Good knowledge of the computational psychiatry, decision-making, or computational neuroscience literatures is desirable. Qualified postdoctoral applicants should submit a current CV, a personal statement describing their experience and interests, and contact information for three references to sbishop at berkeley.edu (informal enquiries also welcome). At UC Berkeley, postdoctoral salaries start at $50,760/year depending on prior post-doctoral experience, and the University offers medical insurance and benefits. The position is available at this time but a delayed start is also negotiable. An initial appointment for a one-year period will be made with potential for extension for a further two years (or longer) depending on successful performance. UC Berkeley is an Equal Opportunity/Affirmative Action Employer with a strong institutional commitment to excellence through diversity. -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/x-pkcs7-signature Size: 4936 bytes Desc: not available URL: From bernabe.cfp at gmail.com Mon Sep 28 10:40:53 2020 From: bernabe.cfp at gmail.com (Bernabe Dorronsoro) Date: Mon, 28 Sep 2020 16:40:53 +0200 Subject: Connectionists: OLA'2021 - International Conference on Optimization and Learning Message-ID: Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************** OLA'2021 International Conference on Optimization and Learning 21-23 June 2021 Catania (Sicilia), Italy http://ola2021.sciencesconf.org/ **************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2021 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2021 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... * Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 10 pages * Important dates: =============== Invited session organization Dec 18, 2020 Paper submission deadline Dec 18, 2020 Notification of acceptance March 24, 2021 * Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for best accepted long papers. All proceedings will be available at the conference. * Conference Steering Committee Chair El-Ghazali Talbi (Univ. Lille & INRIA, France) * Conference Chairs Mario Pavone (Univ. Catania, Italy) Lionel Amodeo (UTT, France) * Conference Program Chairs Bernab? Dorronsoro (Univ. Cadiz, Spain) Vincenzo Cutello (Univ. Catania, Italy) * Organization Committee Rocco A. Scollo (Univ. Catania, Italy) Antonio M. Spampinato (Univ. Catania, Italy) Georgia Fargetta (Univ. Catania, Italy) Carolina Crespi (Univ. Catania, Italy) Jeremy Sadet (Univ. Lille, France) Rachid Ellaia (EMI, Morocco) * Publicity Chairs Juan J. Durillo (Leibniz Supercomputing Center, Germany) Gr?goire Danoy (Univ. Luxembourg, Luxembourg) _______________________________________________ Aco-list mailing list Aco-list at iridia.ulb.ac.be https://iridia.ulb.ac.be/cgi-bin/mailman/listinfo/aco-list -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Mon Sep 28 13:34:55 2020 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Mon, 28 Sep 2020 20:34:55 +0300 Subject: Connectionists: Call for participation in "E-workshop on GANs for Media Content Generation", October 1st, 2020 References: <004201d68745$47b22a00$d7167e00$@csd.auth.gr> Message-ID: <045e01d695bd$ae79e530$0b6daf90$@csd.auth.gr> Dear AI and/or Digital Media enthusiasts, you are welcome to attend FOR FREE the "e-Workshop on GANs for Media Content Generation", on October 1st, 2020, in the framework of EU-funded H2020 R&D project AI4Media: https://ai4media.eu. Generative Adversarial Networks (GANs) are part of the cutting edge in recent machine learning research. Trained by exploiting the interplay between a generative and a discriminative deep neural network, GANs are able to implicitly model the data distribution, thus allowing us to generate realistic data samples after model training is complete. The Digital Media sector is perhaps the greatest beneficiary of GAN-based algorithms, with industry-relevant research already taking advantage of their potential. They are useful for a wide range of media-related applications, such as image-to-image translation, optical recognition enhancement, text-to-speech systems, music/image/video generation, video summarization, image anonymization and many others, frequently giving rise to state-of-the-art results. On the negative side, the rise of so-called "deep fakes" poses significant new challanges, both ethical and technical, thus making the development of methods to robustly detect them a top priority. Overall, GANs hold the key to revolutionizing the way we produce media and arts content. The AI4Media project focuses on building a network of research excellence that will deliver the next generation of core AI advances to serve the key sector of Media. In this context, this Workshop is meant to disseminate knowledge regarding GAN-based state-of-the-art for media content generation and for fake media detection. The workshop lectures are at CS/ECE/EE graduate level. MSc/PhD/Postodoc researchers are particularly welcomed from Europe and around the world. The lectures will be presented live by senior or Postdoc researchers from several AI4Media consortium members and collaborators across Europe. You can attend using Webex, accessed nthrough the Workshop website: https://ai4media.eu/events/gan-media-generation-workshop-oct-2020/ E-workshop program (CEST time-zone): -10:00 - 10:15 Welcome -10:15 - 10:30 Yiannis Kompatsiaris Centre for Research and Technology Centre Hellas (CERTH-ITI) "Introduction to AI4Media Project" -10:30 - 11:10 Marta Mrak, BBC R&D, "Learning to Predict Pixels Using AI for Content Enhancement and Delivery" -11:10 - 11:30 Ioannis Mademlis, Aristotle University of Thessaloniki (AUTH) "An Overview of GANs for Media Production" -11:30 - 11:50 Vasileios Mezaris, Centre for Research and Technology Hellas (CERTH-ITI) "GAN-based Video Summarization" -11:50 - 12:10 Break -12:10 - 12:30 Nicu Sebe, University of Trento (UNITN) "Human Image and Video Generation/Animation" -12:30 - 12:50 Symeon Papadopoulos Centre for Research and Technology Hellas (CERTH-ITI) "Deepfake and Synthetic Media Detection" -12:50 - 13:10 Vasileios Mygdalis Aristotle University of Thessaloniki (AUTH) "Adversarial Face De-identification for Privacy Protection" -13:10 - 13:50 Luisa Verdoliva, University of Naples Federico II (UNINA), "Major Challenges in the Detection of Synthetic Media and Deepfakes" -13:50 - 14:10 Closing remarks This event is the first activity of the upcoming International AI Doctoral Academy (IAIDA) put forward by AI4Media. Stay tuned at: https://ai4media.eu and https://twitter.com/AI4Media_EU Till IAIDA creates its own communication channels (very soon), you may want to register to the CVML email list, where certainly all related messages will be posted, following instructions in https://lists.auth.gr/sympa/info/cvml Sincerely yours, Dr. I. Kompatsiaris, CERTH-ITI, AI4Media Coordinator, Prof. I. Pitas, AUTH, AI4Media Doctoral Studies coordinator -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus From xiaochun.cheng at gmail.com Tue Sep 29 03:29:43 2020 From: xiaochun.cheng at gmail.com (Xiaochun Cheng) Date: Tue, 29 Sep 2020 08:29:43 +0100 Subject: Connectionists: Call for Nominations for IEEE TCCLD Outstanding Ph.D. Thesis Award 2020 Message-ID: <003101d69632$4d81ed20$e885c760$@gmail.com> Call for Nominations for IEEE TCCLD Outstanding Ph.D. Thesis Award 2020 Each nominated dissertation must be on a topic relevant to Cloud Computing. Only dissertations written in English will be considered. If a dissertation was written in another language, please submit an English translation. Eligible dissertations must have been successfully completed between 1 October 2019 and 30 September 2020. An award date that is appropriate to the student's institution is acceptable, for example graduation date, examination date, or final thesis acceptance date. Important dates: - Oct. 20: Nomination due - Nov. 20: Selection results. (Internal) - Nov. 30: Announcement of Winners (Web & CloudCom 2020) https://2020.cloudcom.org/ Dr Xiaochun Cheng IEEE Technical Committee on Cloud Computing (TCCLD) https://tc.computer.org/tccld -------------- next part -------------- An HTML attachment was scrubbed... URL: From david.kappel at uni-goettingen.de Tue Sep 29 10:29:34 2020 From: david.kappel at uni-goettingen.de (David Kappel) Date: Tue, 29 Sep 2020 16:29:34 +0200 Subject: Connectionists: SpiNNaker 2 Award Message-ID: <25d7384b-aeef-97c1-b9bd-4b8d4f971945@uni-goettingen.de> The TU Dresden is welcoming applications for the *SpiNNaker 2 Award* (see information below). Please circulate this call to interested fellow researchers. *********************************************************************** Dear all, TU Dresden is soliciting applications for a 2*40.000? award for interesting use cases of the SpiNNaker2 system (https://arxiv.org/pdf/2009.08921, https://arxiv.org/pdf/1911.02385). SpiNNaker2 is a multi-processor system on chip based on ARM cores, with both neuromorphic accelerator cores as well as multiply-accumulate arrays for DNN operation. If you want to try your hand at cutting edge neurally-inspired AI, with a focus on hardware and sparsity, we'd love to see your application. All further details can be found in the attached document. best, Christian Mayr -- ------------------------------------------------------- Prof. Dr.-Ing. habil. Christian Mayr Technische Universit?t Dresden Faculty of Electrical Engineering and Information Technology Institute of Circuits and Systems Chair of Highly-Parallel VLSI-Systems and Neuromorphic Circuits Mommsenstr. 12, 01062 Dresden, Germany +49 351 463 42392 phone +49 351 463 37794 fax christian.mayr at tu-dresden.de https://tu-dresden.de/ing/elektrotechnik/iee/hpsn -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: SpiNNaker2_Award.pdf Type: application/pdf Size: 192343 bytes Desc: not available URL: From interdonatos at gmail.com Tue Sep 29 10:23:30 2020 From: interdonatos at gmail.com (Roberto Interdonato) Date: Tue, 29 Sep 2020 16:23:30 +0200 Subject: Connectionists: [DEADLINE EXTENDED to Oct 16] CfP - Soc2Net: 2nd International workshop on Modeling and mining Social-Media-driven Complex Networks @ ASONAM 2020 Message-ID: Soc2Net: 2nd International workshop on Modeling and Mining Social-Media-driven Complex Networks @ ASONAM 2020 Virtual Event: Due to the uncertainty about sanitary measures and travel restrictions, Soc2Net 2020 is planned fully online as a virtual event. http://events.dimes.unical.it/soc2net KEY DATES ---------------- Paper submission deadline: October 16, 2020 (Extended, firm deadline) Acceptance notification: October 30, 2020 ____________________________ CONTEXT The growing availability of multi-faceted social media data gives rise to unprecedented opportunities for unveiling complex real-world online behaviors. This also supports the proliferation of complex network models where the expressive power of the graph-based relational structure is enhanced through exposing several types of features that are peculiar of the social media platforms. This workshop aims to explore innovative methods that are designed to improve our understanding of behaviors and relations underlying feature-rich networks built upon social media, here called social-media-driven complex networks. Exemplary network models of such kind include heterogeneous, multilayer/multiplex/multirelational networks, temporal, location-aware, and probabilistic networks, and any other type of data-driven network that can be inferred from social media data contexts. The aim of the Soc2Net workshop, that will be held as a virtual event in conjunction with The 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2020), is to bring together researchers and practitioners from around the world interested in 1) exploring different perspectives and approaches to mine social-media-driven complex networks, 2) analyzing user behavior and evolution in social-media-driven complex networks, and 3) building models and frameworks for evaluating the respective approaches. Authors are encouraged to evaluate their models, methods, metrics and algorithms on real-world social networks built upon publicly available datasets. We solicit interdisciplinary submissions focusing on topics of interest to different research communities, including social science, economics and digital humanities. TOPICS - Foundations of Learning and Mining in social-media-driven complex networks - Centrality and Ranking in social-media-driven complex networks - Community Detection in social-media-driven complex networks - Link Prediction in social-media-driven complex networks - Simplification/pruning/sampling of social-media-driven complex networks - User Behavior Modeling in social-media-driven complex networks - Influence propagation in social-media-driven complex networks - Reputation and Trust computing in social-media-driven complex networks - Embedding and Deep Learning in social-media-driven complex networks - Probabilistic and Uncertain social-media-driven complex networks - Time-evolving social-media-driven complex networks - Hypergraph-based modeling, analysis and learning problems - Cross-Domain problems in social-media-driven complex networks - Visualization of social-media-driven complex networks - Personalization and Recommendation in social-media-driven complex networks - Mobility in social-media-driven complex networks - Vertex similarity in multiplex and social-media-driven complex networks - Multiplex and social-media-driven complex networks evolution models - Multiplex network and dynamic network mining - Ensemble learning for social-media-driven complex networks mining - Pattern mining in social-media-driven complex networks SUBMISSION We welcome original contributions, including papers discussing ongoing research projects. Contributions can be of two types: either short position papers (2 to 3 pages including references) or full research papers (6 to 8 pages including references). Papers must follow the IEEE two-column template, in compliance to the main conference. Accepted contributions will be made available electronically through the CEUR Workshop Proceedings platform (http://ceur-ws.org). Authors of selected contributions will have the opportunity to submit an extended version of their accepted paper (either type) to the Frontiers in Big Data journal (https://www.frontiersin.org/journals/big-data). SUBMISSION WEBSITE: https://easychair.org/conferences/?conf=soc2net KEY DATES Paper submission deadline: October 16, 2020 (Extended, firm deadline) Acceptance notification: October 30, 2020 Final manuscripts due: November 6, 2020 PC-CHAIRS Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France, roberto.interdonato at cirad.fr Sabrina Gaito, Universit? degli Studi di Milano, Italy, gaito at di.unimi.it Alessandra Sala, Nokia Bell Labs, Dublin, Ireland, alessandra.sala at nokia-bell-labs.com Andrea Tagarelli, University of Calabria, Italy, andrea.tagarelli at unical.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From dayan at tue.mpg.de Tue Sep 29 14:21:17 2020 From: dayan at tue.mpg.de (Peter Dayan) Date: Tue, 29 Sep 2020 20:21:17 +0200 Subject: Connectionists: (on behalf of Loren Frank) faculty position @ UCSF Message-ID: <20200929182117.GA15231@tuebingen.mpg.de> The Department of Physiology at UCSF is seeking a visionary neuroscientist to join our vibrant and collaborative discovery research community. This open-rank, tenure-track faculty position is part of a multi-year UCSF institutional initiative that began in 2018 to foster equity and inclusion in biomedical research and to promote the success of our diverse student population. Since launching this effort, UCSF has tripled the number of underrepresented faculty in our basic sciences departments and this critical mass will continue to grow. Candidates are expected to hold a Ph.D. and/or M.D., to have demonstrated significant research accomplishment and potential, and to be committed to the mentorship of students, with a particular emphasis on candidates with demonstrated success mentoring students from groups that are historically underrepresented in biomedical science. We encourage outstanding candidates who are early in their postdoctoral research training to apply, even if their main findings are not yet published. The successful candidate will be expected to establish a dynamic and interactive research program focused in the field of integrative neuroscience, which could include molecular, genetic, cellular, systems, behavioral, computational, and engineering approaches. The candidate would become a member of the Kavli Institute for Fundamental Neuroscience, the Center for Integrative Neuroscience, and the Weill Institute for Neuroscience at UCSF. The candidate would be expected to join the UCSF Neuroscience Graduate Program and, if so desired, one or more of our other top-ranked interdisciplinary graduate programs (see https://graduate.ucsf.edu/list-programs). The candidate, like all faculty at UCSF, will also be expected to contribute to graduate teaching, to be a leader in inclusive mentoring practices, and to participate in activities that promote equity and inclusion at our institution and in the broader scientific community. Service and teaching expectations are comparable to those of any other UCSF tenure-track faculty position. Faculty appointment will be made at a professorial rank commensurate with current academic standing. UCSF offers competitive salaries, research set-up funds, and recruitment allowances, and has numerous opportunities for faculty development and further training in mentorship. Applications must be submitted online and include the following documents in a single PDF: (1) cover letter briefly describing how the candidate fits the position; (2) curriculum vitae; (3) 1-page summary of research accomplishments demonstrating the candidate?s scientific leadership through their contribution to their project(s) and describing the potential impact of their work on the field of neuroscience; (4) 2-page description of future research plans that includes both high risk / high reward projects and an NIH-fundable program; and 5) a statement of personal experiences with, and contributions to, issues related to social and racial justice, equity, diversity, and inclusion, with particular attention to demonstrated success with formal and informal mentoring of individuals from historically underrepresented groups. We encourage candidates to describe specific mentoring strategies to support the success of all trainees in their research group. Copies of major publications that demonstrate the candidate?s ability to carry out creative and impactful work should be included. Applicants should request three to five letters of recommendation describing how the candidate meets the criteria in this job description. We encourage recommenders to provide explicit examples to illustrate their statements. We expect candidates to provide a letter from their postdoctoral and graduate advisors but will consider candidates who can provide justifications when these will be lacking. Review will begin on December 1, 2020 and continue until the position is filled. Please direct inquiries about the position and suggestions of potential candidates to Dr. Loren Frank (loren at phy.ucsf.edu) As an institution that values diversity, UC San Francisco especially encourages application from historically excluded groups, including but not limited to racially underrepresented individuals, women, and individuals with a commitment to mentoring historically excluded groups in the sciences. UC San Francisco seeks candidates whose experience, teaching, research, or community service that has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. Please apply online at https://aprecruit.ucsf.edu/JPF03083. -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/x-pkcs7-signature Size: 4936 bytes Desc: not available URL: From jenny.benois-pineau at u-bordeaux.fr Tue Sep 29 11:27:39 2020 From: jenny.benois-pineau at u-bordeaux.fr (jbenoisp) Date: Tue, 29 Sep 2020 17:27:39 +0200 Subject: Connectionists: ICPR 2020 WS EDL/AI Goes Online. The dead-line is coming! Message-ID: <8F4092FE-2A21-4DF9-ABC8-F9BC4D224645@u-bordeaux.fr> ----------------We apologize if you receive this message several times--------- Call for papers ICPR?2020 Workshop. WS GOES ONLINE. THE SUBMISSION DEAD-LINE IS 10 DAYS ahead! **************************Explainable Deep Learning/AI******************** https://edl-ai-icpr.labri.fr/ Date: January 11th 2021 THE SUBMISSION DEADLINE IS COMING - OCTOBER 10th The recent focus of AI and Pattern Recognition communities on the supervised learning approaches, and particularly to Deep Learning / AI, resulted in considerable increase of performance of Pattern Recognition and AI systems, but also raised the question of the trustfulness and explainability of their predictions for decision-making. Instead of developing and using Deep NNs as black boxes and adapting known architectures to variety of problems, the goal of explainable Deep Learning / AI is to propose methods to ?understand? and ?explain? how the these systems produce their decisions. The goals of the workshop are to bring together research community which is working on the question of improving explainability of AI and Pattern Recognition algorithms and systems. The topics of the workshop cover but are not limited to: ? ?Sensing? or ?salient features? of Neural Networks and AI systems - explanation of which features for a given configuration yield predictions both in spatial (images) and temporal (time-series, video) data; ? Attention mechanisms in Deep Neural Networks and their explanation; ? For temporal data, the explanation of which features and at what time are the most prominent for the prediction and what are the time intervals when the contribution of each data is important; ? How the explanation can help on making Deep learning architectures more sparse (pruning) and light-weight; ? When using multimodal data how the prediction in data streams are correlated and explain each other; ? Automatic generation of explanations / justifications of algorithms and systems? decisions; ? Decisional uncertainly and explicability ? Evaluation of the explanations generated by Deep Learning and other AI systems. *** Pannel: ?Toward more explainable Deep Learning and AI systems?, Chair: Dragutin Petcovic(SFSU,USA) Moderator will ask invited speakers to briefly present their opinions and ideas on the topic of the panel and then the audience will be invited to a discussion *** Important Dates: Submission deadline : October 10th 2020 Workshop author notification: November 10th 2020 Camera-ready submission: November 15th 2020 Finalized workshop program: December 1st 2020 *** Paper Submission: The Proceedings of the EDL-AI 2020 workshop will be published in the Springer Lecture Notes in Computer Science (LNCS) series. Papers will be selected by a single blind (reviewers are anonymous) review process. Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines. Two types of contribution will be considered: Full paper (12-15 pages) Short papers (6-8 pages) *** Submission site: is Open https://edl-ai-icpr.labri.fr Program Committee: Christophe Garcia (LIRIS, France) Hugues Talbot (EC, France) Dragutin Petkovic (SFSU,USA) Alexandre Beno?t( LISTIC,France) Mark T. Keane (UCD, Ireland) Georges Quenot(LIG, France) Stefanos Kolias (NTUA, Grece) Jenny Benois-Pineau(LABRI, France) Herv? Le Borgne (LIST, France) Noel O?Connor (DCU, Ireland) Nicolas Thome(CNAM, France) Due to COVID situation, the WorkShop Will be in ONLINE "live" Format. ALL ACCEPTED PAPERS WILL BE PUBLISHED. Jenny Benois-Pineau, Georges Quenot Workshop Organizers Jenny Benois-Pineau, Professeure en Informatique, Charg?e de mission aux relations Internationales Coll?ge Sciences et Technologies, Universit? de Bordeaux 351, crs de la Lib?ration 33405 Talence France tel.: +33 (0) 5 40 00 84 24 Jenny Benois-Pineau, PhD, HDR, Professor of Computer Science, Chair of International relations School of Sciences and Technologies University of Bordeaux 351, crs de la Lib?ration 33405 Talence tel.: +33 (0) 5 40 00 84 24 -------------- next part -------------- An HTML attachment was scrubbed... URL: From editor.auto.reply1 at gmail.com Wed Sep 30 02:00:39 2020 From: editor.auto.reply1 at gmail.com (IJCES Edt) Date: Wed, 30 Sep 2020 11:30:39 +0530 Subject: Connectionists: [Conferences] IECARTE 2021 :: CFP :: Publisher - peer reviewed journals) In-Reply-To: References: Message-ID: *2021 Conference**CALL FOR PAPERS**(Accepted & Presented Papers will be Published by Peer Reviewed Journals and Submitted for SCI and SCOPUS)* 1st International E?Conference on Applied Research Trends in Engineering* - IECARTE 2021**Virtual Event on 14-15 March 2021**Website**:- * *http://www.ijces.com/1st-iecarte/* Greetings.,hope you are safe and doing well. The objective of this International conference is to provide opportunities for the Researchers, Academicians, Industry persons and students to interact and exchange ideas, experience and expertise in the current trend and strategies for applied research problems in engineering. Besides this, participants will also be enlightened about vast avenues, current and emerging technological developments in the field of engineering in this era and its applications, will be thoroughly explored and discussed. Authors can submit the papers in following related areas - Computer Engineering - Electrical Engineering - Electronics Engineering - Civil Engineering - Structural Engineering - Mathematical Engineering - Mechanical Engineering - Ant interdisciplinary domain in view of above *Publication* : All the papers accepted and presented in the conference is going to be published of peer reviewed journals and submitted for possible consideration in SCOPUS and SCI database. Paper Submission link *Important Dates * - *Submission Deadline: 1st November 2020* - *Acceptance Notification: 2nd Dec 2020 (On or before)* - *Camera-Ready version Submission Deadline: 1st January 2021* - *Registration Deadline: 1st January 2021* - *Conference Dates:14-15 March 2021* Note: IECARTE is organised in virtual mode because of COVID prolongs. Send your inquiries through Email to *ijces.editor at gmail.com* *With Best Regards,* *Organising Team IECARTE 2021.* -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomas.hromadka at gmail.com Tue Sep 29 18:33:54 2020 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Wed, 30 Sep 2020 00:33:54 +0200 Subject: Connectionists: COSYNE 2021: Meeting announcement and call for abstracts Message-ID: ==================================================== Computational and Systems Neuroscience 2021 (Cosyne) MAIN MEETING ONLINE 27 February - 01 March 2021 www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. Cosyne 2021 will take place online, February 27 - March 1, 2021. The goal of this year?s meeting is to promote early stage investigators. Therefore, there are no invited talks from established researchers. The format will include featured contributed talks and an interactive poster-like presentations (short recorded presentation + live interactions). More details to follow. All abstract submissions will be reviewed as in previous years, but reviewing will be fully double blind. The deadline for Abstract submission will be November 12, 2020. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. IMPORTANT DATES Abstract submission opens: 11 October 2020 Abstract submission deadline: 12 November 2020 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General & Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details. From amcgovern at ou.edu Tue Sep 29 11:39:48 2020 From: amcgovern at ou.edu (McGovern, Amy) Date: Tue, 29 Sep 2020 15:39:48 +0000 Subject: Connectionists: Hiring a postdoc for the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography Message-ID: <843AD842-46C3-496C-96E8-4F34D7E8B2E0@ou.edu> The newly formed NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES) is an NSF funded AI Institute that brings together universities, government, and private industry to develop trustworthy AI for environmental science. AI2ES will uniquely benefit humanity by developing novel, physically based AI techniques that are demonstrated to be trustworthy, and will directly improve prediction, understanding, and communication of high-impact environmental hazards. We are hiring a postdoc with expertise in machine learning and the physical sciences (preferably atmospheric science, climate, or ocean science). This postdoc will be located at the University of Oklahoma in Norman OK and will work with Dr Amy McGovern, the PI of the institute. The postdoc will also work with other institute personnel at OU in the School of Computer Science and the School of Meteorology as well as with personnel across AI2ES. The postdoc will be a key part of a team that is developing trustworthy AI for atmospheric science applications. The postdoc will work with interdisciplinary collaborators across the institute. At OU, this will include working with the School of Computer Science and the School of Meteorology as well as colleagues at NOAA. This is an exciting position that will allow the postdoc to work at the forefront of the development of trustworthy AI for a variety of environmental science applications. This position is part of a large multi-institutional institute and there will be postdocs located throughout the partner institutions. The University of Oklahoma is the lead and the partners include Colorado State University, the University at Albany, the University of Washington, North Carolina State University, Texas A&M University-Corpus Christi, Del Mar College (Corpus Christi), the National Center for Atmospheric Research, Google, IBM, NVIDIA, Disaster Tech, and the National Oceanic and Atmospheric Administration. Please see more information and apply here: https://ou.taleo.net/careersection/2/jobdetail.ftl?job=202509&tz=GMT-05%3A00&tzname=America%2FChicago Dr. Amy McGovern Lloyd G. and Joyce Austin Presidential Professor, School of Computer Science and School of Meteorology Director, NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography University of Oklahoma -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Wed Sep 30 03:40:37 2020 From: interdonatos at gmail.com (Roberto Interdonato) Date: Wed, 30 Sep 2020 09:40:37 +0200 Subject: Connectionists: CfP - Urban Complex Systems 2020 @ Conference on Complex Systems 2020 (CCS2020) Message-ID: CFP Urban Complex Systems 2020 @CCS2020 Urban Complex Systems December 09 -10, 2020 An Online Workshop Satellite of the Conference on Complex Systems 2020 Submission deadline: October 28, 2020 Acceptance notification: November 06, 2020 *Invited Speakers (TBU)* *Luca Maria Aiello, Nokia Bells Lab Cambridge, UK* *J?rg Menche, University of Vienna, Austria* *Alessandro Rizzo, Politecnico di Torino, Italy* Cities are massive systems whose tremendous complexity requires even greater efforts to be modeled, analyzed, understood and governed. The city is the expression of a multitude of strongly intertwined systems that vary from people sociality to transport systems, from the cultural fabric to urban planning. Each of these city facets already represents in itself a complex system but their interconnection represents what is certainly one of the systems created by human beings with highest complexity in the world. The aim of this event is to bring together researchers and practitioners from around the world interested in urban systems from the perspective of complexity science. Topics of interest include but are not limited to theoretical aspects, algorithms, methods, and fields of applications, such as: ? Urban Analytics ? Social networks ? Human behavior ? Information diffusion ? Epidemic spreading ? Mobility and transportation ? City services & infrastructures ? City monitoring ? Urban planning ? Communication systems ? Economic and financial systems ? Healthcare ? Emergency management ? Smart environment & ecosystems ? Digital city and smart growth ? Sustainability and energy efficiency ? Smart buildings and smart grids ? Manufacturing and logistics ? Intelligent infrastructure ? Blockchain for Smart City Applications *CONTRIBUTION: * Two types of contributions are welcome: ? *Extended Abstracts* about published or unpublished research (2to 3 pages including references). ? *Original research papers* discussing ongoing research projects (10 to 12 pages including references). They must follow the BioMed Central article template available at: https://appliednetsci.springeropen.com/submission-guidelines/preparing-your-manuscript/research-articles *PUBLICATION: * Accepted submission will be invited to submit an extended version of their contribution (either type) to a special issue of Applied Network Science edited by Springer *SUBMISSION WEBSITE* https://easychair.org/conferences/?conf=urbancomplexsystems2 *PC-CHAIRS* Hocine Cherifi *LIB University of Burgundy, France, **hocine.cherifi at gmail.com* Sabrina Gaito *Universit? degli Studi di Milano, Italy, **sabrina.gaito at unimi.it* Roberto Interdonato *CIRAD, UMR Tetis, Montpellier, France, **roberto.interdonato at cirad.fr* Hamamache Kheddouci *LIRIS Univ. of Lyon, France * *hamamache.kheddouci at univ-lyon1.fr* Matteo Zignani *Universit? degli Studi di Milano, Italy, **matteo.zignani at unimi.it* -------------- next part -------------- An HTML attachment was scrubbed... URL: From markus.butz-ostendorf at biomax.com Wed Sep 30 07:21:13 2020 From: markus.butz-ostendorf at biomax.com (Markus Butz-Ostendorf) Date: Wed, 30 Sep 2020 13:21:13 +0200 Subject: Connectionists: Fiber tract variability of the Human Adult Brain (HCP Young Adult Study) Message-ID: <9805ab3d-21a3-e6c3-a9a6-417901abcafb@biomax.com> Dear Colleagues, Did you know how variable the human adult brain is? Learn more about major white matter tract variability of the young adult human brain in the poster presentation of the Bernstein Meeting 2020 by my colleague Dr Yong Li. Virtually between 2.15pm and 3.30pm today (30 Sept 2020). https://bc20.g-node.org/BernsteinConference2020/Posters/wiki/Poster25 DTI full brain tractographies were processed fully automatically be NICARA(TM) - "NeuroImaging-based Connectome Assessment in Research and Application" and results can be managed, compared and be visually explored in the NICARA web-portal. To explore more than 1000 already processed Connectomes from the Human Connectome Project, register your free NICARA(TM) demo account today here: https://ssl.biomax.de/nicara/cgi/account_request.cgi or ask for further information and demos at the Bernstein Meeting https://app.hopin.to/events/bernstein-conference-2020/expo/142784 or after the conference: nicara at biomax.com https://www.biomax.com/nicara Kind regards, Markus -- Biomax at BernsteinConference -- Dr. rer. nat. Markus Butz-Ostendorf Innovation Manager Brain Science Senior Product Manager Biomax Informatics AG Robert-Koch-Str. 2, 82152 Planegg, Germany Registergericht: Amtsgericht M?nchen, HRB 134442 Vorstand: Dr. Klaus Heumann Vorsitzender des Aufsichtsrates: Prof. Dr. Hans-Werner Mewes Tel: +49 89 895574-862 Fax: +49 89 895574-825 Email:markus.butz-ostendorf at biomax.com Website:http://www.biomax.com PGP:https://ssl.biomax.de/pgp/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Email-Signatur Bernstein virtual 2020.png Type: image/png Size: 40675 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 4247 bytes Desc: S/MIME Cryptographic Signature URL: From rava at ens.fr Wed Sep 30 10:53:14 2020 From: rava at ens.fr (Rava A. da Silveira) Date: Wed, 30 Sep 2020 16:53:14 +0200 Subject: Connectionists: POSTDOC POSITIONS IN COMPUTATIONAL NEUROSCIENCE IN PARIS AND BASEL Message-ID: *Several postdoctoral openings in the lab of Rava Azeredo da Silveira **(Paris & Basel)* The lab of Rava Azeredo da Silveira invites applications for *Postdoctoral Researcher* positions at ENS, Paris, and IOB, an associated institute of the University of Basel. Research questions will be chosen from a broad range of topics in theoretical/computational neuroscience and cognitive science (see the description of the lab?s activity, below). One of the postdoc positions to be filled in Basel will be part of a collaborative framework with Michael Woodford (Columbia University) and will involve projects relating the study of decision making to models of perception and memory. Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. *Application deadline:* For full consideration, please apply by 30 October 2020. *How to apply:* Please send the following information *in one single PDF, to * *silveira at iob.ch* *:* 1. letter of motivation; 2. statement of research interests, limited to two pages; 3. curriculum vit? including a list of publications; 4. any relevant publications that you wish to showcase. In addition, please arrange for three letters of recommendations to be sent to the same email address. In all email correspondence, please include the mention ?APPLICATION-POSTDOC? in the subject header, otherwise the application will *not* be considered. *** *ENS,* together with a number of neighboring institutions (College de France, Institut Curie, ESPCI, Sorbonne Universit?, and Institut Pasteur), offers a rich scientific and intellectual environment, with a strong representation in computational neuroscience and related fields. *IOB* is a research institute combining basic and clinical research. Its mission is to drive innovations in understanding vision and its diseases and develop new therapies for vision loss. IOB is an equal-opportunity employer with family-friendly work policies. *The Silveira** Lab* focuses on a range of topics, which, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic?rather than mechanistic?point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations. -------------- next part -------------- An HTML attachment was scrubbed... URL: