From wittawatj at gmail.com Mon Apr 1 06:08:27 2019 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Mon, 1 Apr 2019 12:08:27 +0200 Subject: Connectionists: Call for participation: Southeast Asia Machine Learning School 2019 Message-ID: Dear all, The 1st edition of the Southeast Asia Machine Learning School (SEA MLS ) will be held at Universitas Indonesia in Depok (Greater Jakarta), Indonesia, between July 8th - July 12th, 2019. The SEA MLS provides a unique opportunity for the underrepresented Southeast Asian machine learning community to learn from the top experts in the field, engage with like-minded students, academics, researchers, industry practitioners, and thought leaders in the field, and understand the current and future challenges in machine learning research, theory, and applications. SCOPE As the Southeast Asian community has been largely underrepresented in the machine learning field, the SEA MLS aims to kickstart an effort to inspire, encourage, and educate more machine learning engineers, researchers, and data scientists within the Southeast Asian region and beyond in the coming years. In particular, we work towards a critical vision of more Southeast Asians as pioneers, contributors, and shapers within the machine learning community. INVITED SPEAKERS 1. Chris Dyer (DeepMind and PECASE awardee from the Obama administration) 2. Kyunghyun Cho (New York University and Facebook AI Research) 3. Manaal Faruqui (Google) 4. Douwe Kiela (Facebook AI Research) 5. Hung Bui (VinAI Research) 6. Yun-Nung Vivian Chen (National Taiwan University) 7. Wee Sun Lee (National University of Singapore) 8. Wray Buntine (Monash University) 9. Truyen Tran (Deakin University) 10. Huyen Chip (NVIDIA) We are currently inviting more speakers, which will be updated on the website . APPLICATION We are currently inviting applications for the SEA MLS. The application process can be accessed here ; please consult our FAQ for more details. The application process will close on *April 20th 2019*. Everyone is welcome to apply regardless of nationality or place of residence. No deep knowledge or prior experience in machine learning is required, although participants are expected to have some basic background on probabilities and programming. TRAVEL GRANTS We will have a limited number of financial assistance available for student participants traveling from within the Southeast Asian region. Depending on the financial needs, the travel grant can include travel cost reimbursements (including airplane tickets, up to a certain amount) and accommodation near the event venue, although we may not be able to cover the costs in full. STRUCTURE The SEA MLS will cover a one-week program that includes technical lecture sessions on basic and intermediate topics in machine learning and its applications, along with panel sessions. In addition, the event features a hands-on practical session to learn how to implement deep learning models in a modern software stack, social sessions, and poster presentation sessions. The tentative schedule is available here . REGISTRATION FEES Student participants - free-of-charge General participants - US$ 200 The registration fee covers access to al lectures, panels, practical sessions, and social events, along with lunch and two coffee breaks per day. VENUE The event will be held at Fasilkom , Universitas Indonesia in Depok, West Java, which is part of the Greater Jakarta Metropolitan Area, Indonesia. The venue is about 1.5 hour drive from Jakarta's main airport, Soekarno-Hatta International Airport (CGK), and about an hour drive from Jakarta's Central Business District. ORGANIZERS AND CONTACT 1. Dani Yogatama (DeepMind) 2. Adhi Kuncoro (University of Oxford & DeepMind) 3. Wittawat Jitkrittum (Max Planck Institute for Intelligent Systems) 4. Thang Luong (Google Brain) Please direct any queries to *seaml-team at googlegroups.com * Thank you for your kind attention and please do not hesitate to contact us for any questions. Kind regards, The SEA MLS Organizing Team. -------------- next part -------------- An HTML attachment was scrubbed... URL: From maroua.mehri at gmail.com Mon Apr 1 09:56:47 2019 From: maroua.mehri at gmail.com (Maroua MEHRI) Date: Mon, 1 Apr 2019 14:56:47 +0100 Subject: Connectionists: Second CfP -- ICDAR 2019 Competition on Historical Book Analysis (ICDAR-2019-HDRC-HBA) In-Reply-To: References: Message-ID: **Our apologies for multiple receptions** ================================= Second *Call for Participation* ================================= *ICDAR 2019 Competition on Historical Book Analysis* ================================= Second C*all for Participation* ================================= We invite you to participate in our challenges on Historical Book Analysis (HBA) Competition in the context of the 15th IAPR International Conference on Document Analysis and Recognition (ICDAR?19 ). We remind you that the *registration of interest* is open until *April 30, 2019. * Register your interest here *(already 31 registered participants)**. * Challenges In conjunction with the 15th IAPR International Conference on Document Analysis and Recognition ICDAR? 19, the *HISTORICAL BOOK ANALYSIS COMPETITION (HBA) *is organized. The HBA competition will address a thriving topic of major interest of many researchers in different fields including *(historical) document image analysis*, *image processing*, *pattern recognition* and *classification*. The HBA competition will provide a *large experimental corpus* and a *thorough evaluation protocol* to ensure *a consistent comparison of image processing methods* for historical document image analysis. A challenging dataset called the *HBA 1.0 dataset* will be used at this occasion. The HBA 1.0 dataset is composed of *4436 real scanned ground-truthed one-page historical document images* (*2435 and 2001 manuscript and printed pages, respectively*.) from *11 books *(*5 manuscripts *and* 6 printed books*) in different languages and scripts published between the 13th and 19th centuries. The documents of the HBA 1.0 dataset are *gray-scale *or* color* images which were digitized at *300 *or* 400 dpi* and saved in the *TIFF format* which provides a high resolution of digitized images. Each selected foreground pixel is marked by a color that symbolizes the corresponding content type. *The ground truth information is currently available at the pixel level.* Two nested challenges are proposed in the HBA competition. *1- *The HBA competition will aim at evaluating how image analysis methods could *discriminate the textual content from the graphical ones* at *pixel level*. * 2- *It will aim at assessing the capabilities of the participating methods to *separate the textual content according to different text fonts* (e.g. lowercase, uppercase, italic, ?) at *pixel level*. How to participate *1- Register* your interest through the *registration form * (*before 30 April 2019*). * 2- *Specify clearly in which challenge you would like to participate (*challenge 1 only, challenge 2 only, both challenges 1 and 2*). * 3- *Download the *sample dataset* (*available from 10 January 2019*). * 4- *Download the *evaluation dataset* (*available from 01 March 2019*). *5- *Submit the *description* and the *results* of your methods (*before 31 May 2019*). Important dates *Date * *Description * *January 10, 2019* ? Opening of the registration to competition ? Publication of the sample dataset *April 30, 2019* ? Closure of the registration to competition ? Publication of the evaluation dataset ? Beginning of the competition *May 31, 2019* ? Deadline of the result submission ? Deadline of the submission of the description of the participating methods *June 15, 2019* ? Sending the competition results to the participants Organizers ? Maroua Mehri[1] ? Pierre H?roux[2] ? R?my Mullot[3] ? Jean-Philippe Moreux[4] ? Bertrand Co?asnon[5] ? Bill Barrett[6] [1] LATIS, Sousse University, Tunisia [2] LITIS, University of Rouen Normandy, France [3] L3i, University of La Rochelle, France [4] BnF - French national library, France [5] Intuidoc, IRISA Rennes, France [6] Family History Technology Lab, Brigham Young University, USA [image: ICDAR19_HBACompetition_LITIS_LATIS_L3i_BnF_Logos.png] ================================================================== *ICDAR 2019 Competition on Historical Book Analysis* See more information at our website: *http://hba.litislab.eu/ * Contact us on: *hba at litislab.eu * Follow us on Twitter: *@ icdar2019hba * Download the call for participation here: *http://hba.litislab.eu/wp-content/uploads/2019/01/ICDAR-2019-HDRC-HBA_CFP.pdf * ================================================================== -- Maroua MEHRI Assistant Professor, Ph.D. - Engineer in Computer Science Email address: maroua.mehri at gmail.com Postal address: National Engineering School of Sousse (ENISo), R2.01 office, 264 post-office box, 4023 Sousse Erriadh, Tunisia Personal Web site: https://sites.google.com/site/marouamehri/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICDAR19_HBACompetition_LITIS_LATIS_L3i_BnF_Logos.png Type: image/png Size: 10384 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICDAR-2019-HDRC-HBA_CFP.pdf Type: application/pdf Size: 615856 bytes Desc: not available URL: From caip2019 at unisa.it Mon Apr 1 14:47:46 2019 From: caip2019 at unisa.it (caip2019 at unisa.it) Date: Mon, 1 Apr 2019 20:47:46 +0200 Subject: Connectionists: Deadline extension 15 April - CAIP 2019, Salerno (Italy) Message-ID: <5e4dfda1-7f90-783d-1fd3-fb2e230f1bb7@unisa.it> *Final**HARD DEADLINE extension 15th APRIL 2019 (11:59pm Amsterdam/Rome time)* * 18th International Conference on Computer Analysis of Images and Patterns** **2-5 September 2019, Salerno, Italy * CAIP 2019 is the 18th edition of the series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields. CAIP 2019 is organized by the University of Salerno and will be held at the Grand Hotel Salerno, Italy. CAIP 2019 welcomes submissions about, and not limited to, the following topics: * Deep learning * 3D Vision * Biomedical image and pattern analysis * Biometrics * Brain-inspired methods * Document analysis * Face and gestures * Feature extraction * Graph-based methods * High-dimensional topology methods * Human pose estimation * Image/video indexing & retrieval * Image restoration * Keypoint detection * Machine learning for image and pattern analysis * Mobile multimedia * Model-based vision * Motion and tracking * Object recognition * Segmentation * Shape representation and analysis * Static and dynamic scene analysis * Statistical models * Surveillance * Vision for robotics ========================================================= *Important Dates* Paper submission **April 15, 2019* *Paper acceptance notification *May**24, 2019* ========================================================= CAIP2019 proceedings will be published in *Springer Lecture Notes in Computer Science (LNCS)* series. Please find the Call for Papers at http://caip2019.unisa.it/callcaip.pdf Visit the CAIP 2019 website for more information. with kind regards, Mario Vento Gennaro Percannella/ CAIP2019 co-chairs/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From augenstein at di.ku.dk Tue Apr 2 02:06:22 2019 From: augenstein at di.ku.dk (Isabelle Augenstein) Date: Tue, 2 Apr 2019 06:06:22 +0000 Subject: Connectionists: Postdoc position in Natural Language Processing at the University of Copenhagen Message-ID: <1BCAF37F-93A8-4EDB-A3A4-519DBDB08E29@di.ku.dk> A postdoc position on question answering is available in the CopeNLU group at the Department of Computer Science, University of Copenhagen. The postdoc position is partly funded by a Megagon Labs faculty research award for the project `Subjective Question Answering?. The position is restricted to two years initially, after which a contract renewal is possible given funding availability. The current call is open until 16 April, and the preferred project start date is 16 May or soon afterwards. Before applying, you are very welcome to get in touch to informally to discuss further details about the position. Applications from researchers of underrepresented groups in machine learning are particularly encouraged. Duration: 2 years Application deadline: 16 April 2019 Position available from: 16 May 2019 Salary: approximately DKK 426.625 including annual supplement (+ pension up to DKK 72.952) Place: CopeNLU lab, Machine Learning Section, Department of Computer Science, University of Copenhagen, Denmark Research areas: Natural Language Processing, Machine Learning, Question Answering, Knowledge Bases Applications: Candidates should submit a CV, diplomas, research plan, publication list and reprints of 3 relevant papers Contact: Isabelle Augenstein > More details and the direct application link are available here: https://employment.ku.dk/faculty/?show=149254 ??? Isabelle Augenstein, PhD Tenure-track Assistant Professor Department of Computer Science University of Copenhagen Universitetsparken 5, 2100 Copenhagen, Denmark www: http://isabelleaugenstein.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Doug.Leith at tcd.ie Tue Apr 2 03:47:18 2019 From: Doug.Leith at tcd.ie (Douglas Leith) Date: Tue, 2 Apr 2019 07:47:18 +0000 Subject: Connectionists: hD Scholarship in Privacy & Data Analytics at Trinity College Dublin Message-ID: <89C00676-228C-41D7-814F-817BAFAE10DC@tcd.ie> PhD position in the School of Computer Science and Statistics (SCSS), Trinity College Dublin (TCD). The position is part of a project working on the areas of privacy and data analytics for online services. Of particular interest is the development of privacy-enhanced data analytics methods to support decision making (by making recommendations etc) by users and the development of tools for the analysis of the privacy provided (or not provided!) by existing tools/mobile apps. Relevant analytic tools include methods from Bayesian statistics, stochastic optimisation, decision and queueing theory. TCD is the leading university in Ireland and SCSS is the top ranked Computer Science department. The successful applicant will enter a vibrant, stimulating research environment, positioning them well for their career development. The SCSS has an active international visitor programme and provides the opportunity for international and industry exchange visits. For more information on the research group and its activity, please visit www.scss.tcd.ie/Doug.Leith/ Thus postgraduate scholarship is open to both EU and international students and carries a stipend of ?18,500 (tax free). Further details on the position can be found here: https://www.scss.tcd.ie/doug.leith/vacancies.htm Position will remain open until filled. From donatello.conte at univ-tours.fr Tue Apr 2 04:58:46 2019 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Tue, 2 Apr 2019 10:58:46 +0200 Subject: Connectionists: GbR 2019 conference - Call for Participation Message-ID: <00a401d4e932$47f85280$d7e8f780$@univ-tours.fr> ****************************************** Our apologizes if you receive multiple copies ******************************************* Please find attached to this message a call for participation to IAPR biannual meeting: Graph-based Representation 2019. Don't hesitate to participate and to spread this call within your research network. Regards, Donatello Conte, Jean-Yves Ramel, Pasquale Foggia (GbR co-chairs) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: GbR2019CallForParticipation.pdf Type: application/pdf Size: 731660 bytes Desc: not available URL: From smart at neuralcorrelate.com Tue Apr 2 10:14:00 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Tue, 2 Apr 2019 10:14:00 -0400 Subject: Connectionists: ECEM 2019 symposia announcement and abstract submission deadline extension In-Reply-To: <03a801d4e95e$14a74090$3df5c1b0$@neuralcorrelate.com> References: <036401d4e95d$c7c36a10$574a3e30$@neuralcorrelate.com> <038101d4e95d$e8743ff0$b95cbfd0$@neuralcorrelate.com> <03a801d4e95e$14a74090$3df5c1b0$@neuralcorrelate.com> Message-ID: <003501d4e95e$5465c3a0$fd314ae0$@neuralcorrelate.com> Dear Colleagues, The deadline for abstract submissions for the 2019 European Conference on Eye Movements (ECEM) has been extended to Monday, April 22nd. Full details at: http://www.ecem2019.com/index.php/abstracts/abstracts-guidelines. Accepted abstracts will be published as a special issue in the Journal of Eye Movement Research (Editor: Rudolf Groner, Bern). ECEM 2017?s abstracts are available at: https://bop.unibe.ch/JEMR/issue/view/779 Register for ECEM 2019 by the early registration deadline (June 17th) and save on fees: http://ecem2019.com/index.php/registration/registration We are also delighted to announce that ECEM 2019 will include nine accepted symposia: What Eyes Tell Us About Child Sensorimotor and Cognitive Development Chair: Nadia Alahyane (Queen?s University, Kingston, ON, Canada) Eye Movements During the Reading of Narrative and Poetic Text Chairs: Jana L?dtke and Arthur M. Jacobs (Freie Universit?t Berlin, Germany) Eyes Wide Shut: gaze dynamics without vision Chair: Susana Martinez-Conde (State University of New York, Downstate Medical Center, NY, USA) Eye Movements in Developing Readers: from basic research to classroom application Chair: Alexandra Spichtig (Reading Plus, USA) >From Lab-Based Studies to Eye-Tracking in Virtual and Real Worlds: conceptual and methodological problems and solutions Chair: Roy Hessels (Utrecht University, the Netherlands) Recent Advances in Research on the ?Looking at Nothing? Phenomenon Chair: Agnes Rosner and Roger Johansson (University of Zurich, Switzerland, and Lund University, Sweden) 3-D Binocular Motor Control and Health Chair: Zo? Kapoula (CNRS FR3636, UFR Biom?dicale, University Paris Descartes, France) Word Processing Across Space and Time During Reading: insights from eye tracking, electrophysiology, and computational modeling Chair: Elizabeth Schotter and Brennan Payne (University of South Florida and University of Utah, USA) Progress in Neurophysiology and Oculomotor Psychophysics: contributions and influence of Jan van Gisbergen (1943-2019) Chair: John van Opstal (Radboud University Nijmegen, Netherlands) ECEM 2019 will feature six world-renowned keynote speakers: Jennifer Groh (Duke University) Hamutal Slovin (Bar Ilan University) Martin Rolfs (Humboldt University of Berlin) Janet Rucker (New York University) Enkelejda Kasneci (University of T?bingen) Antje Nuthmann (University of Kiel) http://ecem2019.com/index.php/programme/keynotes ECEM 2019 will be in Alicante, Spain (August 18-22) Alicante, with more than 320,000 inhabitants, is a traditional maritime city located on the Mediterranean Sea. The old part of the city encompasses Postiguet Beach, two marinas and a large commercial port. The city embraces an imposing 166-meter rocky hill right next to the sea, Monte Benacantil, crowned by The Castillo de Santa B?rbara (Santa Barbara Castle). This is one of the largest castles on the Mediterranean, and the conference dinner will take place within its premises, with breathtaking views over the city and the Mediterranean. The slopes of Monte Benacantil surround the old city of Alicante (El Barrio) like a shield. El Barrio is well known for its vibrant nightlife. The local organizing team has secured a large block of hotel rooms at special discounted rates for the conference. Specific hotel information will be made available on the website in March 2019. Lodging in the area is reasonably priced, but accommodations can become limited in the high summer season. We advise early hotel reservation. On Behalf of the Local Organization Committee Please share this information with your colleagues. We look forward to welcoming you to Alicante! Luis Martinez-Otero (chair), Albert Compte, and Susana Martinez-Conde -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Tue Apr 2 09:01:08 2019 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Tue, 2 Apr 2019 13:01:08 +0000 Subject: Connectionists: [meetings] Call for Poster Abstracts: 2019 Joint IEEE Int. Conf. on Development and Learning and on Epigenetic Robotics: Deadline Extended Message-ID: Dear Colleagues, [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to those who might be interested.] CALL FOR TWO-PAGE POSTER ABSTRACTS: 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2019) 19-22 August 2019, Oslo, Norway Web page: https://icdl-epirob2019.org An IEEE Computational Society sponsored conference ==== Important Dates ==== Submission deadline: April 14, 2019 Author notification: May 14, 2019 Camera ready due: June 1, 2019 Conference: August 19-22nd 2019 ==== Overview ==== ICDL-EpiRob is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies to share knowledge and research on how intelligent biological and artificial systems develop sensing, reasoning and actions. This includes development of cognitive and social abilities through dynamic interactions with their physical and social environments. This is with a twofold objective: to gain a better understanding of human and animal intelligence, and to enable artificial systems with more adaptive and flexible behaviors. This will be the ninth time the conference is organized, and we invite submissions for the conference in 2019 to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Submissions ==== To encourage discussion of late-breaking results or for work that is not sufficiently mature for a full paper, we welcome 2-page abstracts. This gives authors the opportunity to present their latest research results to the community, and is also an opportunity for researchers new to the field to participate in the conference. Two-page poster abstracts should present work within the conference scope that is original and new. These submissions will NOT be included in the IEEE Xplore conference proceedings. Accepted abstracts will be presented during poster sessions. To submit a contribution, follow the link under ICDL-EPIROB 2019 here: https://ras.papercept.net/conferences/scripts/start.pl ==== Scope and Topics ==== Topics of interest include (but are not limited to): * principles and theories of development and learning; * development of skills in biological systems and robots; * nature vs nurture, developmental stages; * models on the contributions of interaction to learning * models on active learning * architectures for lifelong learning; * emergence of body and affordance perception; * analysis and modelling of human motion and state * models for prediction, planning and problem solving; * models of human-human and human-robot interaction; * emergence of verbal and non-verbal communication; * epistemological foundations and philosophical issues; * robot prototyping of human and animal skills * ethics in computational intelligence and robotics ==== Confirmed Keynote Speakers ==== Prof. Aude Billard, ?cole Polytechnique F?d?rale de Lausanne, Switzerland Prof. Hod Lipson, Columbia University, USA Prof. Michael J. Frank, Brown University, USA Prof. Dr. Stefanie H?hl, University of Vienna, Austria See https://icdl-epirob2019.org/keynotes/ ==== Organizing committee ==== General chairs: Jim Torresen (University of Oslo, Norway ) and Kerstin Dautenhahn (University of Waterloo, Canada/University of Hertfordshire, UK) Program chairs: Kai Olav Ellefsen (University of Oslo) and Katharina J. Rohlfing (Paderborn University, Germany) Finance / Website Chairs: Kyrre Glette and Charles Martin (University of Oslo) Publicity chairs: Bruno Castro da Silva (UFRGS, Brazil), Kazi Shah Nawaz Ripon (NTNU, Norway) and Ryo Kurazume (Kyushu University, Japan) Bridge chair: Tetsuya Ogata (Waseda University, Japan) and Emre Ugur (Bogazici University, Turkey) Local chairs: Bruno Laeng and Tor Endestad (University of Oslo) Best regards from the organising committee, Bruno Castro da Silva, Kazi Shah Nawaz Ripon and Ryo Kurazume (Publicity chairs) Kai Olav Ellefsen and Katharina J. Rohlfing (Program chairs) Jim Torresen and Kerstin Dautenhahn (General chairs) From terry at salk.edu Tue Apr 2 18:48:31 2019 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 02 Apr 2019 15:48:31 -0700 Subject: Connectionists: NEURAL COMPUTATION - April 1, 2019 In-Reply-To: Message-ID: Neural Computation - Volume 31, Number 4 - April 1, 2019 Available online for download now: http://www.mitpressjournals.org/toc/neco/31/4 http://cognet.mit.edu/content/neural-computation ----- Article A Distributed Framework for the Construction of Transport Maps Diego Alberto Mesa, Justin Tantiongloc, Marcela Mendoza, and Todd Coleman Letters Biologically Realistic Mean-field Models of Conductance-based Networks of Spiking Neurons With Adaptation Matteo di Volo, Alberto Romagnoni, Cristiano Capone, and Alain Destexhe Estimating Scale-invariant Future in Continuous Time Zoran Tiganj, Samuel J. Gershman, Per B. Sederberg, and Marc W. Howard Deconstructing Odorant Identity via Primacy in Dual Networks Daniel Kepple, Hamza Giaffar, Dima Rinberg, and Alex Koulakov Filtering Compensation for Delays and Prediction Errors During Sensorimotor Control F. Crevecoeur, M. Gevers Gated Orthogonal Recurrent Units: On Learning to Forget Li Jing, Caglar Gulcehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, and Yoshua Bengio Decreasing the Size of the Restricted Boltzmann Machine Yohei Saito, Takuya Kato Multi-Class Alpha Integration of Scores From Multiple Classifiers Gonzalo Safont, Addisson Salazar, and Luis Vergara ------------ 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 mklados at gmail.com Tue Apr 2 14:11:08 2019 From: mklados at gmail.com (Manousos Klados) Date: Tue, 2 Apr 2019 19:11:08 +0100 Subject: Connectionists: PhD Scholarship in Applied Neuroscience Message-ID: The School of Life and Health Science of Aston University has opened a funded PhD position in applied Neuroscience Topic: Many patients with epileptic seizures are proven medically resistant and respective surgery is the only remaining treatment alternative. This is performed for removing a small portion of brain tissue that is currently defined using intracranial electroencephalogram (iEEG). To date, this results in a significant number of patients continuing to experience postsurgical seizures. During the last few years, high-frequency oscillations (HFOs above 80 Hz) have emerged as a new promising biomarker in pre-surgical diagnosis of epileptogenicity, while the resection of the tissue generating HFOs improves surgical outcome in patients with medically refractory epilepsy (MRE). The ultimate goal of the project is to automatically detect HFOs and localise their source of origin, by using only high-density EEG and/or MEG, which is necessary for a solid sampling and accurate localisation of HFOs on the scalp. The main outcomes of the project will be so, the gained knowledge for the mechanism of HFOs and their relation to epilepsy as a valuable tool for the clinicians who perform surgical operations, and patients who will refrain from invasive monitoring (iEEG). Candidate: The successful candidate will contribute to the development and testing of algorithms able to automatically detect HFOs. They will be working on the boarders of biomedical engineering and human neuroscience. This is a unique opportunity, since you will have the chance to work inside a multidisciplinary project funded by the EU, and visit project partners to gain more research knowledge and experience. Aston University: Aston University was ranked 5th out of 94 UK Higher Education Institutions for research in Allied Health Professions (REF 2014) and was ranked 1st for research environment. Additional information about research in the School can be found at http://www.aston.ac.uk/lhs/research/. Informal enquiries can be made to Dr Manousos Klados: m.klados at aston.ac.uk. Financial Support: The studentship is open to Home/EU students only and comprises of a tax-free stipend at the 2018/19 RCUK rate of ?14,777 p.a. and payment of Home/EU tuition fees only. The studentship is available for three years, subject to satisfactory progress review at the end of the first year, with a registration of July 2019. Application Requirements: - Eligible Applicants should hold at least a Bachelor (Hons.) Degree of either 1st Class/ 2.1 or MSc/MRes in a relevant subject. - EU Applicants will need to demonstrate adequate proficiency in English Language skills, with a minimum overall score of 93 (Internet Based) (with a minimum score in each section of: R: 18, W: 23, L: 19 and S: 19) in TOEFL or IELTS with minimum marks of 6.0 in each section and an overall band of 6.5. More information you can find at: https://jobs.aston.ac.uk/Vacancy.aspx?ref=R190113 Best Regards Manos Manousos A. Klados, MSc, PhD, FIMA, FHEA Lecturer in Biomedical Engineering Coordinator of HOPE funded under H2020-MSCA-RISE Department of Biomedical Engineering School of Life & Health Sciences, Aston University Phone: +44(0)1212043740 Email: m.klados at aston.ac.uk Websites: http://www.mklados.com & http://www.aston.ac.uk/lhs/staff/az-index/mklados Address: MB555 ? Aston Triangle, B47ET, Birmingham, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Tue Apr 2 16:30:05 2019 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Tue, 2 Apr 2019 22:30:05 +0200 Subject: Connectionists: [Deadline Extended] Call for Papers: Pattern Recognition Letters - Special Issue on Intelligent Industrial Digital Forensics and Biocybernetics: Practices and Challenges In-Reply-To: <34de2edf-9e16-9e2d-0e87-0fa94a38e61f@ai.univ-paris8.fr> References: <9514e9a5-4930-f386-4f65-e780532fbebb@ai.univ-paris8.fr> <34de2edf-9e16-9e2d-0e87-0fa94a38e61f@ai.univ-paris8.fr> Message-ID: *********************************************************************** Apologize if you receive multiple copies of this message. Please disseminate this CFP to your colleagues and contacts. *********************************************************************** *Special Issue on "Intelligent Industrial Digital Forensics and Biocybernetics: Practices and Challenges"****** in Pattern Recognition Letters journal*** Submission deadline: *15 April 2019 * https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/virtual-special-issue-on-intelligent-industrial-digital-fore *Motivations: * Digital forensic methodologies are widely used in industries to ensure authentication of multimedia data. Biocybernetics has emerged as a tool to secure systems from cyber threats via biometric based processes. Jointly, digital forensics and biocybernetics can ensure support system for high level security. The mechanisms of digital forensics and biocybernetic technologies presently need human expert interference, and cannot perform in automated way. Thereby these processes cannot be suited for in large scale industrial need in their present form. Hence a lot of research has been conducted in this domain during last few years, mostly all studies yielding sub-optimal solutions, which still encourages current researchers to conduct further research in this area. This special issue solicits original research articles, extensive reviews, and case studies in the aforementioned field of research. *Topics include, but are not limited to:* - Digital Forensic techniques applicable to large scale systems - Biocybernetic architecture management - Biosignal processing and biosensing systems - Brain-human-interface - Knowledge sharing systems for forensic analysis - Biocybernetic surveillance in industry - Anti-pattern search for biocybernetic spoofing - Biometric technologies for large scale industry - Industrial biometric data management - Parallel and distributed processing of forensic data - Cybercrime detection and mitigation - Uberveillance technologies for smart industry - Standards and protocols for industrial forensics *Important dates: * Submission deadline: *15 April 2019 * First review notification: 1 June 2019 Revision submission: 1 August 2019 Second review notification: 1 September 2019 Final notification to authors: 30 September 2019 Online publication: October 2019 *Submission Guidelines: * All submissions have to be prepared according to the Guide for Authors as published in the Journal Web Site at http://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide-for-authors. Submissions should be sent through http://ees.elsevier.com/prletters/. Authors should select the acronym "VSI:IIDFB-PC" as the article type, from the "Choose Article Type" pull-down menu during the submission process. The maximal length of a paper is 7 pages in the PRLetters layout and may become 8 in the revised version if referees explicitly request significant additions. The submitted papers should not have been previously published or be under consideration for publication elsewhere. If one submission is the extended work of one conference paper, the original work should be included and a description of the changes should be provided. The PRLetters submission should include at least 30% new contribution of high relevance (more experiments, proofs of theorems not included in the conference paper, more comparisons with other methods in the literature and so on); and the title of the PRLetters paper should be different, the same figures cannot be used and the common part of the conference paper and of the extended version cannot be verbatim the same. *Review Process: * The review process will follow the standard PRLetters scheme. Each paper will be reviewed by at least two referees and that, in general, only two reviewing rounds will be possible, out of which major revision is possible for the first reviewing round. Submissions will probably being rejected if major revision is still required after the second reviewing round. *Guest Editors: * Asso. Prof., Dr., Larbi Boubchir University of Paris 8, France E-mail: larbi.boubchir at ai.univ-paris8.fr Prof. Esma A?meur University of Montreal, Montreal, Canada E-mail: aimeur at iro.umontreal.ca Dr. Sambit Bakshi National Institute of Technology Rourkela, India E-mail: bakshisambit at nitrkl.ac.in Dr. Abdenour Hadid University of Oulu, Finland E-mail: hadid.abdenour at oulu.fi -- _____________________________________________________ Larbi Boubchir, PhD, SMIEEE Associate Professor LIASD - University of Paris 8 2 rue de la Libert?, 93526 Saint-Denis, France Tel. (+33) 1 49 40 67 95 Email. larbi.boubchir at ai.univ-paris8.fr http://www.ai.univ-paris8.fr/~boubchir/ _____________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhanups at ncbs.res.in Wed Apr 3 04:02:11 2019 From: bhanups at ncbs.res.in (Bhanu Priya) Date: Wed, 3 Apr 2019 13:32:11 +0530 Subject: Connectionists: Course announcement : CAMP@Bangalore 2019 Message-ID: <4a89226973f02c3c95e64032f097f259.squirrel@webmail.ncbs.res.in> We would like to announce CAMP at Bangalore 2019 from 27 June 2019 to 12 July 2019. CAMP (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. The course consists of four modules covering sub-cellular electrical models, micro-circuits and network models, detailed models with electrical and chemical components, and systems level models, all with an emphasis on learning, memory and plasticity. The flavor of this edition of CAMP will be Synaptic Plasticity. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Application deadline : 6 April, 2019. Referee letters must reach by 8 April, 2019 Please check the course website http://camp.ncbs.res.in/ for more details. Course Organizers: Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Upinder Bhalla (National Centre for Biological Sciences, Bangalore) -- Bhanu Priya S Graduate Student Dr. Upinder Bhalla Lab National Centre for Biological Sciences, Bangalore, India From Sharon.Crook at asu.edu Wed Apr 3 13:48:52 2019 From: Sharon.Crook at asu.edu (Sharon Crook) Date: Wed, 3 Apr 2019 17:48:52 +0000 Subject: Connectionists: Call for proposals to host CNS*2021 In-Reply-To: <1f4c21d9-c40d-4a18-b5f6-ccb786640551.10034998772.4128.1554313480925@memberclicks-mail.net> References: <1f4c21d9-c40d-4a18-b5f6-ccb786640551.10034998772.4128.1554313480925@memberclicks-mail.net> Message-ID: The Organization for Computational Neurosciences requests proposals from candidate local organizers to hold CNS*2021, preferably at a location in Europe, but all applications will be considered. Groups or individuals interested in organizing the 2021 meeting should submit a proposal following the on-line instructions and using the on-line templates at: https://www.cnsorg.org/cns-2021-local-organizer Proposals should be submitted by email to OCNS President Volker Steuber, at president at cnsorg.org no later than October 1, 2019. The OCNS Board Members will consider the proposals, contact local organizers for more information if necessary, and select a location in a timely agreement between OCNS and the potential local organizers. As usual, the selected location will be officially announced in at the CNS Meeting in July of 2020. An earlier email to the OCNS President declaring the intent to submit a proposal would be appreciated, but is not required. The OCNS Board thanks you for your support. ________________________________ Organization for Computational Neurosciences ? 2885 Sanford Ave SW #15359, Grandville, Michigan 49418, United States From dwang at cse.ohio-state.edu Wed Apr 3 08:39:24 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Wed, 3 Apr 2019 08:39:24 -0400 Subject: Connectionists: NEURAL NETWORKS, April 2019 Message-ID: <279dc44f-7435-e2f3-236b-b87ab108ee97@cse.ohio-state.edu> Neural Networks - Volume 112, April 2019 http://www.journals.elsevier.com/neural-networks A small-world topology enhances the echo state property and signal propagation in reservoir computing Yuji Kawai, Jihoon Park, Minoru Asada Robust dimensionality reduction via feature space to feature space distance metric learning Bo Li, Zhang-Tao Fan, Xiao-Long Zhang, De-Shuang Huang A robust outlier control framework for classification designed with family of homotopy loss function Yidan Wang, Liming Yang, Chao Yuan A stochastic variational framework for Recurrent Gaussian Processes models Cesar Lincoln C. Mattos, Guilherme A. Barreto An unsupervised parameter learning model for RVFL neural network Yongshan Zhang, Jia Wu, Zhihua Cai, Bo Du, Philip S. Yu Dreaming neural networks: Forgetting spurious memories and reinforcing pure ones Alberto Fachechi, Elena Agliari, Adriano Barra Disturbance and uncertainty rejection performance for fractional-order complex dynamical networks P. Selvaraj, O.M. Kwon, R. Sakthivel From jesus.malo at uv.es Wed Apr 3 18:09:15 2019 From: jesus.malo at uv.es (Jesus Malo Lopez) Date: Thu, 04 Apr 2019 00:09:15 +0200 Subject: Connectionists: =?utf-8?q?3-year_PhD_on_Computat=2E_Visual_Neuros?= =?utf-8?b?Y2ku?= Message-ID: <3115-5ca52f00-10f-67a0e900@200109795> A 3-year PhD contract in the intersection between visual neuroscience and artificial neural networks is available to work with Prof. Jesus Malo at the Image and Signal Processing Group (http://isp.uv.es) at the Universitat de Valencia (Spain). Salary is 22000 euros/year (gross salary including health care). Candidates should: (1) hold a degree in Computer Science, Physics, Maths, quantitative Neuroscience / Psychology or similar. Call requires that this degree has to be posterior to january 2015 and be from a non-spanish university. (2) have strong analytical and computational skills [e.g. statistics / machine learning / matlab / python]. (3) have genuine interest in biological vision and in participating in psychophysical/physiological experiments to build models applicable in computer vision or image processing, and (4) be able to communicate in english. Candidates may hold a master degree (some postgraduate experience). Master is preferable but not a mandatory condition. We offer a multidisciplinary atmosphere (regular meetings on machine learning and visual perception with other PhD students) and international contacts with possibility of frequent travels for cooperation with other experimental/theoretical labs. The succesful candidate will have the possibility of obtaining a PhD with several high-impact publications. Work will start by september 2019 (i.e. eventual visa issues should be solved before hand!). How to apply: Candidates should [a] write a 1 page statement connecting their previous work (or studies) with our previous work ( see general context in http://isp.uv.es/excathedra.html or, more specifically, a recent publication from our lab such as https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201326 ); and [b] send complete CV and the 1 page statement to jesus.malo at uv.es From stolu at elektro.dtu.dk Wed Apr 3 16:49:01 2019 From: stolu at elektro.dtu.dk (Silvia Tolu) Date: Wed, 3 Apr 2019 20:49:01 +0000 Subject: Connectionists: Research Assistant position at Technical University of Denmark - submission deadline 25th April 2019 In-Reply-To: References: , , Message-ID: <6d5dbcf728a94a7994b6c9b50de974a5@elektro.dtu.dk> Dear all, the Technical University of Denmark offers a nine-month research assistantship in the research field of neuro-robotics. The candidate will be part of a team that is already involved in the framework of the EU Flagship Project ?Human Brain Project? (HBP). The position addresses research in neural computation for robotics systems. Please find enclosed the pdf with all the necessary information and contact. Kind regards/ Med venlig hilsen, Best regards / Med Venlig Hilsen, Silvia Tolu Assistant Professor, PhD Researcher in Bio-Inspired Robotics Automation and Control Group Department of Electrical Engineering Technical University of Denmark ------------------------------------ Richard Petersens Plads Building 326, room 110 2800 Kgs. Lyngby Direct +45 45253928 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Research_Assistant_in_Neuromorphic2.pdf Type: application/pdf Size: 69675 bytes Desc: Research_Assistant_in_Neuromorphic2.pdf URL: From Donald.Adjeroh at mail.wvu.edu Wed Apr 3 17:56:19 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 3 Apr 2019 21:56:19 +0000 Subject: Connectionists: SBP-BRiMS 2019 -- Working Papers, Challenge Problems, Doctoral Consortium ... In-Reply-To: References: , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2019 2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 9-12, 2019, Lehman Auditorium, George Washington University, Washington DC, US http://sbp-brims.org/ #sbpbrims CALL FOR Contributions : Important Dates: Working Paper Submission: 17-May-2019 Doctoral Consortium Submission due: 17-May-2019 Tutorial Submission: 17-May-2019 Demo Submission: 17-May-2019 Challenge Response Submission: 17-May-2019 SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interests include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and/or evolution * Collective action and governance * Information, belief, technology of disease diffusion * Public opinion representation, identification and modeling * Information diffusion * Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations * Validation and analysis techniques for social behavioral models Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes over time or space * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Social Cyber-Security applications * Social simulation for military training * Cyber diplomacy * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Applications for Health and Well-being * Data science applied to health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation CHALLENGE PROBLEMS: There will be two data science challenges, one on opioids and one on disinformation. Additional details are posted on the conference website, SBP-BRiMS.org/challenge. The deadline for submissions this year will be 17-May-2019. IMPORTANT DATES: Working Paper Submission: 17-May-2019 Doctoral Consortium Submission due: 17-May-2019 Tutorial Submission: 17-May-2019 Demo Submission: 17-May-2019 Challenge Response Submission: 17-May-2019 Please see conference website http://sbp-brims.org for more information. AWARDS: All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. Submission of a paper to the conference means that the authors consent to send an extended version to the special issue, should they receive one of the awards. Papers receiving the best paper awards, the best student paper award, winner of the opioid challenge, and winner of the disinformation challenge will then send an extended version of their paper for publication in the best of SBP-BRiMS 2019 special issue. ------------------------------------------------------------------------------------------------------------- SBP-BRiMS 2019 July 9-12 | Washington, D.C. www.sbp-brims.org Connect with #sbpbrims on social: Follow us on Twitter: http://twitter.com/sbpbrims SBP BRiMS Conference (@SBPBRiMS) | Twitter twitter.com The latest Tweets from SBP BRiMS Conference (@SBPBRiMS). International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation #sbpbrims. Washington, DC Like us on Facebook: http://facebook.com/sbpbrims SBP BRIMS Conference - Home | Facebook facebook.com Accepted regular papers will be featured in printed proceedings. The annual conference takes place from July 9-12 in Washington D.C. featuring: Regular papers, doctoral consortium, disinformation and opioid poster challenge session, tutorials, technology demonstrations and expert panels. Follow us on LinkedIn: https://www.linkedin.com/company/sbpbrims/ [https://media.licdn.com/dms/image/C4E0BAQF3IgVCogb6Yw/company-logo_200_200/0?e=2159024400&v=beta&t=FQtLUJg9kmVzlAT5tYtdI2tRGAzf8-KjS7FJ2_30MFI] SBP-BRiMS | LinkedIn www.linkedin.com See more information about SBP-BRiMS, find and apply to jobs that match your skills, and connect with people to advance your career. SBP-BRiMS is a multidisciplinary conference with a selective ... -------------- next part -------------- An HTML attachment was scrubbed... URL: From ludovico.montalcini at gmail.com Wed Apr 3 13:21:27 2019 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Wed, 3 Apr 2019 18:21:27 +0100 Subject: Connectionists: ACDL 2019, Titles of the Lectures - Advanced Course on Data Science & Machine Learning, Siena - Tuscany, Italy, July 15-19 Message-ID: ACDL 2019, 2nd Advanced Course on Data Science & Machine Learning, Siena - Tuscany, Italy, July 15-19 - Early Registration: April 15 * Apologies for multiple copies. Please forward to anybody who might be interested * ACDL 2019: An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders A Unique Experience: Data Science, Machine Learning & AI with the World?s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano https://acdl2019.icas.xyz acdl at icas.xyz Early registration deadline: April 15 https://acdl2019.icas.xyz/registration/ LECTURERS: Each Lecturer will hold 3 lessons on a specific topic. https://acdl2019.icas.xyz/lectures/ Ioannis Antonoglou, Google DeepMind, UK Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Marco Gori, University of Siena, Italy Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Phillip Isola, MIT, USA Lecture 1: Introduction to Generative Adversarial Networks Lecture 2: Conditional GANs and Data Prediction Lecture 3: GANs for Domain Translation Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA Lecture 1: Learning in the factory and in the wild: designing robot systems that learn Lecture 2: Learning factored transition models for planning in complex hybrid spaces Lecture 3: Learning to speed up planning in complex hybrid spaces Ilias S. Kotsireas, Wilfrid Laurier University, Canada Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Dolores Romero Morales, Copenhagen Business School, Denmark Lecture 1: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 1) Lecture 2: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 2) Lecture 3: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 3) Panos Pardalos, University of Florida, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Ruslan Salakhutdinov, Carnegie Mellon University & AI Research at Apple, USA Lecture 1: Introduction to Deep Learning, Neural Networks & Convolutional Neural Networks Lecture 2: Deep Unsupervised Learning Lecture 3: Recent Advances and New Challenges for Deep Learning Lecture 4: Deep Learning for Natural Language Processing/Reading Comprehension Josh Tenenbaum, MIT, USA Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Naftali Tishby, Hebrew University, Israel Lecture 1: TBA Lecture 2: TBA Lecture 3: TBA Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands Lecture 1: Introduction to Automated Machine Learning (AutoML) Lecture 2: Meta-learning Lecture 3: AutoML and meta-learning for neural networks Oriol Vinyals, Google DeepMind, UK Lecture 1: Graph Neural Networks Lecture 2: Reinforcement and Imitation Learning at Scale: AlphaStar and Beyond Lecture 3: Meta Learning SCOPE: The Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. CALL FOR POSTER & ORAL PRESENTATIONS: During the Registration Process we accept abstract submissions for posters and oral presentations to be presented during the poster sessions and the talk sessions. https://acdl2019.icas.xyz/registration/ Early registration deadline: April 15 ACDL 2019 Best Poster Award AIxIA sponsors the ACDL 2019 Best Poster Award with a cash prize of 600 Euro. VENUE & ACCOMMODATION: The venue of ACDL 2018 will be The Certosa di Pontignano ? Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Localit? Pontignano, 5 ? 53019, Castelnuovo Berardenga (Siena) ? Tuscany ? Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info at lacertosadipontignano.com lorenzopasquinuzzi at lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2019.icas.xyz/venue/ ACCOMMODATION: https://acdl2019.icas.xyz/accommodation/ EARLY REGISTRATION: by April 15 https://acdl2019.icas.xyz/registration/ We remind you that ACDL 2018 sold out a long time before the registration deadline! Anyone interested in participating in ACDL 2019 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in Tuscany next July! ACDL 2019 Organizing Committee. ACDL 2019 Poster: https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/01/poster-ACDL-2019.png acdl at icas.xyz https://acdl2019.icas.xyz Past Edition - ACDL 2018: https://acdl2018.icas.xyz https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences * Apologies for multiple copies. Please forward to anybody who might be interested * * Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for ACDL 2019. Together we will make ACDL 2019 a great event! * -------------- next part -------------- An HTML attachment was scrubbed... URL: From O.Obst at westernsydney.edu.au Wed Apr 3 22:02:29 2019 From: O.Obst at westernsydney.edu.au (Oliver Obst) Date: Thu, 4 Apr 2019 02:02:29 +0000 Subject: Connectionists: Full PhD scholarship on Research in areas of Machine Learning and Data Science, Western Sydney University, Australia Message-ID: <7539659A-F0BB-4944-A22A-A680B7C4C487@westernsydney.edu.au> We are offering a research scholarship and tuition fee waiver to a highly motivated PhD student at the Centre for Research in Mathematics, Western Sydney University. Our team conducts research both in the theoretical aspects of data science, such as computational statistics and machine learning methods (for example deep learning and reinforcement learning), as well as in problems arising from applications across a very broad spectrum of partners in business and government. Required qualifications are a first class honours or a Master degree with a research component, in relevant areas of Computer Science, Data Science, Mathematics or Statistics. For details, please see the full information here: http://bit.ly/2UkpCvS and contact me at o.obst at westernsydney.edu.au to discuss potential projects. Applications close 30 Apr 2019 (11:59pm Australian Eastern Standard Time). -- Oliver Obst, Associate Professor in Data Science Centre for Research in Mathematics Director for Research, Quality, and Innovation School of Computing, Engineering, and Maths Western Sydney University, Parramatta +61 2 9685 9429 http://www.oliverobst.eu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Wed Apr 3 17:50:53 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Wed, 3 Apr 2019 21:50:53 +0000 Subject: Connectionists: SBP-BRiMS 2019 -- Call for Participation, Travel Fellowships ... In-Reply-To: References: , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2019 2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 9-12, 2019, Lehman Auditorium, George Washington University, Washington DC, US http://sbp-brims.org/ #sbpbrims Conference Registration: Registration is now open for the 2019 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), George Washington University, Washington DC, USA, July 9 ? July 12, 2019. You can register at the website: http://sbp-brims.org/2019/registration/ Travel Fellowships: A limited number of travel fellowships is available for the conference. For more details, visit the conference website http://sbp-brims.org/2019/, and check the menu for Scholarships, under "Conference Information". SBP-BRiMS 2019 July 9-12 | Washington, D.C. www.sbp-brims.org Connect with #sbpbrims on social: Follow us on Twitter: http://twitter.com/sbpbrims SBP BRiMS Conference (@SBPBRiMS) | Twitter twitter.com The latest Tweets from SBP BRiMS Conference (@SBPBRiMS). International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation #sbpbrims. Washington, DC Like us on Facebook: http://facebook.com/sbpbrims SBP BRIMS Conference - Home | Facebook facebook.com Accepted regular papers will be featured in printed proceedings. The annual conference takes place from July 9-12 in Washington D.C. featuring: Regular papers, doctoral consortium, disinformation and opioid poster challenge session, tutorials, technology demonstrations and expert panels. Follow us on LinkedIn: https://www.linkedin.com/company/sbpbrims/ [https://media.licdn.com/dms/image/C4E0BAQF3IgVCogb6Yw/company-logo_200_200/0?e=2159024400&v=beta&t=FQtLUJg9kmVzlAT5tYtdI2tRGAzf8-KjS7FJ2_30MFI] SBP-BRiMS | LinkedIn www.linkedin.com See more information about SBP-BRiMS, find and apply to jobs that match your skills, and connect with people to advance your career. SBP-BRiMS is a multidisciplinary conference with a selective ... -------------- next part -------------- An HTML attachment was scrubbed... URL: From sameer at uci.edu Wed Apr 3 14:45:58 2019 From: sameer at uci.edu (Sameer Singh) Date: Wed, 3 Apr 2019 11:45:58 -0700 Subject: Connectionists: AKBC 2019: Call for Participation: Registration and Workshops Message-ID: AKBC 2019 1st Conference on Automated Knowledge Base Construction (AKBC) May 20-22, 2019, Monday-Wednesday, Amherst, MA www: http://www.akbc.ws ; email: info at akbc.ws Key dates - April 5, 2019, Friday: Early Registration Deadline - May 20-21, 2019, Monday-Tuesday: Conference, UMass Amherst - May 22, 2019, Wednesday: Workshops, UMass Amherst Knowledge Base Construction Knowledge gathering, representation, and reasoning are among the fundamental challenges of artificial intelligence. Large-scale repositories of knowledge about entities, relations, and their abstractions are known as ?knowledge bases?. Most major technology companies now have substantial efforts in knowledge base construction, and related scholarly work spans many research areas, including machine learning, natural language processing, computer vision, information integration, databases, search, data mining, knowledge representation, human computation, human-computer interfaces, and fairness. The AKBC conference serves as a research forum for all these areas, in both academia and industry. New Conference Nearly ten years after the first AKBC workshop in Grenoble, France, AKBC is becoming a conference. Why a new stand-alone conference? - Long-standing and growing interest in the area, now with too much material for a one-day workshop. We have sufficient material for a two-day conference plus topical workshops. - We want to grow and connect the community beyond existing individual conference communities, bringing together ML, NLP, DB, IR, KRR, semantics, reasoning, common sense, QA, human computation, dialog, HCI. - We want to set our own culture, including reviewing practices, and meeting format. We have fond memories of the first AKBC 2010 in Grenoble: a two-day meeting that included an afternoon hike in the Alps with much great scientific discussion. - Why now? Growing interest across many areas. Disconnect among multiple relevant communities. Growing industry and government interest. Program The program consists of 13 invited talks, oral and poster presentations of submitted papers, as well as a day of workshops. A list of accepted conference papers can be found here: https://openreview.net/group?id=AKBC.ws/2019/Conference Invited Talks - Waleed Ammar (AI2) - Danqi Chen (Princeton) - Yejin Choi (UW, AI2) - Laura Dietz (UNH) - Lise Getoor (UCSC) - Alexandra Meliou (UMass) - Fernando Pereira (Google) - Hoifung Poon (MSR) - Chris Re (Stanford and Apple) - Sebastian Riedel (UCL and Facebook) - Guy Van den Broeck (UCLA) - Claudia Wagner (Leibniz Institute for Social Sciences) - Chris Welty (Google) Registration Conference registration is possible via https://umass.irisregistration.com/Home/Site?code=AKBC for rates between 250 and 450 USD, which includes a banquet dinner and social event ticket, among other things. Early registration is open until 5 April, hotel rooms reserved for participants are held until 21 April. More information on registration and visa applications can be found here: http://www.akbc.ws/2019/registration/. Call for Workshop Participation In addition to the two-day conference program, we will have a one-day collection of workshops on focused topics. Rather than accepting disjoint workshop proposals, this year we will have a community-driven process for devising workshop topics and organizers. Please visit http://www.akbc.ws/2019/workshops/ for more details. Current workshops are: - Neural and Symbolic Representation and Reasoning - Scientific Literature Knowledge Bases - Knowledge Bases and Multiple Modalities Workshops accept abstract and paper submissions with deadlines in early April. Please check the individual workshop websites for further details. Organizers General Chair Andrew McCallum , University of Massachusetts Amherst, USA Program Co-chair Isabelle Augenstein , University of Copenhagen, Denmark Program Co-chair Sameer Singh , University of California Irvine, USA Workshop Co-chair Xiang Ren , USC, USA Workshop Co-chair Partha Pratim Talukdar , IISc, Bangalore, India Funding Chair Sebastian Riedel , University College London, UK Local Co-chair Ari Kobren , University of Massachusetts Amherst, USA Local Co-chair Nicholas Monath , University of Massachusetts Amherst, USA Area Chairs Lora Aroyo Kai-Wei Chang Luna Dong Matt Gardner Paul Groth Hannaneh Hajishirzi Roman Klinger Max Nickel Jay Pujara Siva Reddy Tim Rockt?schel Sunita Sarawagi Michael Wick Luke Zettlemoyer Questions? Please mail info at akbc.ws. -- Sameer Singh Assistant Professor, Computer Science University of California, Irvine http://sameersingh.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From shu-chen.li at tu-dresden.de Thu Apr 4 03:25:50 2019 From: shu-chen.li at tu-dresden.de (Shu-Chen Li) Date: Thu, 4 Apr 2019 07:25:50 +0000 Subject: Connectionists: Research associate / PhD / Postdoc for augmented perception and action Message-ID: <87D3136A-9A92-4A72-BCE8-3360B497D884@contoso.com> The Chair of Lifespan Developmental Neuroscience at TU Dresden, Germany (https://tu-dresden.de/mn/psychologie/ipep/epsy?set_language=en) is searching for two new researchers (Postdoc and/or PhD fellows) through the newly funded Excellence Cluster ?Tactile Internet with Human-in-the-Loop? (https://www.ceti.one/). subject to personal qualification employees are remunerated according to salary group E13 TV-L. The positions are for a fixed term for 3 years and can start as soon as possible in 2019. CeTI-position_Li_2 ? Research associate / PhD / Postdoc for augmented perception and action Topic: Age & individual differences in perception and action in augmented and virtual reality (Research rooms TP1 and K3) Tasks: One of CeTI?s research aims is to augment human perception and action with new real-time sensor/actuator technologies. As the new technologies are targeted at a wide population, we need to investigate age and other user characteristics that may influence perception and action in augmented and virtual reality. This position is located in TP1 and K3, where we will contact multisensory behavioural and neurocognitive experiments with human participants in augmented/virtual reality and in situations involving tele-operation. Requirements: We are looking for a candidate with a master?s or PhD degree in human factor engineering, psychology or related fields who has expertise in human-machine systems, augmented /virtual reality, or tele-operation. Interests and prior experiences in eye tracking and/or motion capture technologies as well as EEG analysis would be a plus. How to Apply: Please submit your comprehensive application including the usual documentation as a pdf document by April 22nd, 2019 (stamped arrival date of the university central mail service applies) with the reference ?CeTI-position_Li_2? in the subject header to Prof. Shu-Chen Li (shu-chen.li at tu-dresden.de). Please submit copies only as your application documents will not be returned. Expenses incurred in attending interviews cannot be reimbursed. We look forward to your applications! -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtista at gmail.com Thu Apr 4 03:36:54 2019 From: mtista at gmail.com (Massimo Tistarelli) Date: Thu, 4 Apr 2019 09:36:54 +0200 Subject: Connectionists: Extended deadline: BTAS-2019 - 10th IEEE International Conference on Biometrics: Theory Applications and Systems Message-ID: <7a4756bc-b044-c0da-bb5e-5f91d0817f88@gmail.com> *BTAS-2019* *The 10th IEEE International Conference on Biometrics: Theory Applications and Systems (BTAS 2019)* September 25th-29th 2019, Tampa, FL, USA /http://ieee-biometrics.org/btas2019/index.html/* * *CALL FOR PAPERS* *EXTENDED DEADLINE: APRIL 14th 2019* ** The 10th IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2019) invites research in the areas of theory, applications, systems, social & economic impact of biometrics, privacy, and other emerging trends in biometrics research. All submissions must clearly articulate the novelty of the work. Submissions will be peer-reviewed by a double-blind process. *Topics of interest include but are not limited to:** * ? Modalities & Templates ? Physical, Behavioral, Multi-biometrics ? Performance Modeling & Prediction ? Usability ? Fusion ? Anti-spoofing ? Healthcare, Forensics, Law Enforcement, Travel Facilitation, Entertainment, Civil Registries ? Smart Cards & Large Scale ID ? Privacy & Cyber Security ? Social & Economic Impact *Important Dates:* Tutorial Proposals: Apr.11, 2019 Paper Submissions: Apr.14, 2019 Decision to Authors: Jun. 10, 2019 Camera-ready version: Jul. 15, 2019 *PAPER SUBMISSION* * During BTAS 2019 review process, the paper should not be submitted to or be under review in other conferences, workshops, journals. Submitted papers may be checked with a plagiarism detection tool. * Simultaneous submission to arxiv is allowed. * Submissions may be up to eight pages in IEEE conference format, excluding references. There is no limit on bibliography pages. Note that papers longer than six pages in the published proceedings will incur a page charge, up to two extra pages (bibliography pages will not incur an extra charge). * Authors can submit one supplementary file. The size should not exceed 100 MB (maximum allowable by CMT) and can be in doc, pdf or zip format. * Papers accepted at the conference must be presented by one of the authors, and at least one of the authors must register before the paper registration deadline. Each author registration applies towards only one paper. If an accepted paper is not registered and/or not presented at the conference, it will be withdrawn from the proceedings and from IEEE Xplore. BTAS 2019 reserves the right to exclude a paper from publication if the paper is not presented (no-show) at the conference.. * Authors may not delegate presentation of their paper to a non-author in attendance. * Authors are required by IEEE to transfer copyrights for any papers placed in Xplore. This is performed at the time final versions are submitted for production. If a paper is withdrawn from the proceedings, copyright will revert to the authors.. * LaTeX and Microsoft Word templates can be found at: o Word Template o Latex Template * The review process is double-blind. Please remove author names, affiliations, email addresses, etc. from the paper. Remove personal acknowledgments. * When reporting experiments on data collected in your lab, consider stating this as ?This experiment was conducted using data acquired in our labs?. Do not state this as ?This experiment was conducted using data that was collected in our labs at Mars University? * When citing your own work, ensure that the narrative does not divulge your identity. * Please submit your paper to the Microsoft Conference Management Toolkit at: https://cmt3.research.microsoft.com/BTAS2019/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Thu Apr 4 08:54:30 2019 From: nemanja at temple.edu (Nemanja Djuric) Date: Thu, 4 Apr 2019 08:54:30 -0400 Subject: Connectionists: CfP - AdKDD @ KDD2019 Message-ID: Call for Workshop Papers AdKDD 2019 in conjunction with The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019) Anchorage, Alaska, USA, August 4th-8th, 2019 http://www.adkdd.org Today, the average consumer spends 8+ hours a day across all devices interacting with online content almost entirely sponsored by advertisements. At $300B market share by 2020, online advertising and in particular computational advertising is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads help us enrich our lives and creep us out when done badly. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving, however, from ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences in new feeds on mobile devices and even on TV?all utilizing data amassed from petabytes of stored user data. Ads are far from done. AdKDD & TargetAd workshops have had a lot of interest and success in the past years. Total of twelve workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. Motivated by these successes, for 2019 we are fully merging the two workshops under one name, and are happy to announce AdKDD 2019, which will bring a strong program with invited talks from leaders in the advertising industry. We look forward to seeing you in Anchorage to discuss the past, present, and future of computational advertising! Topics: ======= The workshop focuses on three main aspects of computational advertising. Evolution of computational advertising: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers and others, challenge the traditional notions of advertising. There also continues to exists controversial issues in advertising such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data and audience insights, as well as position papers on the future of online advertising. Submission Instructions: ======================== Following KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here. All accepted papers will be published in the ACM Digital Library and invited to present posters at the workshop. Important Deadlines: ==================== Submission : May 12th, 2019 Decisions : June 2nd, 2019 Camera-ready : June 15th, 2019 Workshop : August 5th, 2019 Best Paper Awards: ================== We are happy to announce that we will award best accepted papers for this year?s workshop. Details are to be disclosed shortly. Submission Website: =================== https://easychair.org/conferences/?conf=adkdd2019 Program Committee Chairs: ========================= Abraham Bagherjeiran (Amazon) Nemanja Djuric (Uber ATG) Mihajlo Grbovic (Airbnb) Kuang-chih Lee (Alibaba) Kun Liu (Amazon) Vladan Radosavljevic (Spotify) Suju Rajan (Criteo Research) For further questions please contact a member of the organizing committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cristian.rodriguezrivero at gmail.com Thu Apr 4 13:34:20 2019 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Thu, 4 Apr 2019 10:34:20 -0700 Subject: Connectionists: Call for Paper - IEEE LA-CCI 2019 (Latin American Conference on Computational Intelligence In-Reply-To: References: Message-ID: The IEEE CIS, the Steering Committee of LA-CCI, and the Organizers of this edition in Ecuador are happy to announce: *The 6th IEEE Latin American Conference in Computational Intelligence, to be held in Guayaquil - Ecuador, Nov 11-15 of 2019.* (Website http://la-cci.org/) (The conference ethos is here http://la-cci.org/la-cci-2019/manifesto-2019/) * Please send us your latest work and meet us in Ecuador.* TOPICS (1) Evolutionary & Swarm Computation; (2) Neural & Learning Systems; (3) Fuzzy & Stochastic Modeling (More details of topics that are welcome http://la-cci.org/la-cci-2019/topics-of-interest-2019/) CONFIRMED SPEAKERS Please check all the speakers here ( http://la-cci.org/la-cci-2019/key-speakers-2019/) ASSOCIATED EVENTS -*Summer School *on Computational Intelligence and Applications ( http://la-cci.org/la-cci-2019/summer-school-on-computational-intelligence-and-applications-ssocia-2019/ ) -Theses *Competition* ( http://la-cci.org/la-cci-2019/theses-competition-2019/) -IEEE *ETCM 2019* (Fourth Ecuador Technical Chapters Meeting) -*Industry & Application Sessions*, Round Tables and more -Social events and a possible visit to the *Galapagos Islands* KEY DATES & SUBMISSIONS Submission deadline: May 06, 2019 Notification of acceptance or rejection: June 30, 2019 (All dates http://la-cci.org/la-cci-2019/dates-subm-registration-2019/ ) *Attached is the CFP (PDF Version) of the IEEE LA-CCI 2019 *** Please feel free to distribute this announcement widely* VENUE Guayaquil is the largest and most populous city in Ecuador. It is the major commercial town of the country with most of the import and export trade being conducted through the Gulf of Guayaquil. A large population of the city engages in trade and other informal activities such as agriculture, aquaculture, and other businesses. The city serves other functions such as transport, education, sports, tourism, and entertainment. Guayaquil is the closest port to the Galapagos Islands, which is must see! * We invite you to see this video of the charming Guayaquil (https://www.youtube.com/watch?v=ZftCQx4zSRE )* PUBLICATION, REGISTRATION & COPYRIGHT LA-CCI only accepts publications in English. All accepted publications will be indexed in the IEEE base. Some selected articles will make some special issues and will be picked for international journals, following additional extension and an additional review process (depending on each journal policy). At least one author of each accepted has to register. More details here ( http://la-cci.org/la-cci-2019/dates-subm-registration-2019/) PREVIOUS EDITIONS OF LA-CCI *Guadalajara/Mexico-2018 , Arequipa/Peru-2017 , Cartagena/Colombia-2016 , Curitiba/Brazil-2015 , and Bariloche/Argentina-2014 * We wait for you in the beautiful Guayaquil. We are positive that the conference will be a great hit, as it has been the five previous editions Prof. Fernando Buarque - Steering Committee Coordinatior Prof. Otilia Molina - General Chair of LA-CCI 2019 [image: image.png] Cristian Rodriguez Rivero, Ph.D, EE Center for Neuroscience University of California LA-CIS Board of Directors and Steering Committee (la-cci.org) Adj. Prof. at Aeronautical University Institute (IUA) http://fi.iua.edu.ar/ Mathematics Research Laboratory applied to Control (LIMAC) Universidad Nacional de C?rdoba *www.inv.limac.efn.uncor.edu/?page_id=292 *, e-mail: crodriguezrivero at ieee.org , crivero at iua.edu.ar crodriguezrivero at ucdavis.edu Cell: +1 (530) 407-9152 <%2B1%20%28530%29%20757-8827> Libre de virus. www.avg.com <#m_-1996065617570365072_DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 378587 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: FIRST CFP IEEE LA-CCI 2019.pdf Type: application/pdf Size: 336573 bytes Desc: not available URL: From castrog4 at msu.edu Thu Apr 4 13:27:41 2019 From: castrog4 at msu.edu (Castro-Garcia, Juan) Date: Thu, 4 Apr 2019 17:27:41 +0000 Subject: Connectionists: Artificial Intelligence Machine Learning (AIML) Contest 2019 and BMI 2019 Message-ID: Artificial Intelligence Machine Learning (AIML) Contest 2019 and BMI 2019 We are pleased to announce the Artificial Intelligence Machine Learning (AIML) Contest 2019 which will run July 14 - November 17, 2019. AIML Contest: The Cresceptron by Weng, Ahuja & Huang 1992 (ICCV) was the first deep learning network for 3D worlds, but such CNNs have many "holes" by e.g., max-pooling and lack of context for autonomous attention. We need task-independent and modality-independent networks as well as optimality of representations to see what these "holes" are and how to fill them. The terms such as artificial intelligence, machine learning, robotics, signal processing, control, dynamic systems, data mining, big data, and neuroscience projects, often have different task emphases but these subjects all share the same set of problems that now have a unified brain-inspired solution: Developmental Network (DN) framework. The AIML Contest, annually run since 2016, serves as a practice platform for all these highly related subjects and beyond. You should participate if you are doing deep learning whose CNNs have holes that you can fill after you have gone through AIML Contest 2019. The contest is open but not limited to all researchers, practitioners, students, and even investors who want to find which areas of their investments can best grow. We predict that this contest framework will fundamentally change the landscape of all such subjects although many senior researchers cannot see that at this point of time, just like Google ventured into deep learning for 3D worlds 24 years after the Cresceptron technology was invented. Do not wait to learn what this fundamental change implies when you have an early chance. The Contest aims to provide a hands-on experience for participants to learn and practice such a unified solution to all such subjects. Unified goal: Full automation in machine learning (brain-like) for general purposes. Prize and Certificates: The winning team receives a US$10,000 prize divided among team members. The winner and runner-ups will receive medals and certificates. BMI courses that are recommended to the participants will issue certificates to those who pass. Participants have also the opportunity of working or intern in GENISAMA LLC depending on performance. BMI Courses: Each of the three courses offered in 2019 is a three-week set of online lectures that you can start any time during 2019. They offer video lectures, homework and exams. They discuss the theory behind the Developmental Network, such as cognitive science, automata theory, and computational models: BMI 831 Cognitive Science BMI 861 Brain Automata BMI 871 Computational Brain-Mind Fees: Full-time students get tuition waivers for BMI courses. Each AIML Contest entry (US$150) includes the three BMI courses for all team members. The completion of these courses is not required to participate in the contest but is recommended. Contest Events: July 13, 2019: Early registration deadline for AIML Contest July 14, 2019: AIML Contest Kickoff in conjunction with IJCNN 2019 in Budapest (webcast will be made available through the YouTube channel Brain-Mind Talks and Youku channel Brain_Mind_Talks) July 28, 2019: Late registration deadline for AIML Contest July 29 - Aug. 9, 2019: AIML Contest 2019 Workshop Nov. 17, 2019: Contest results due by 11:59 pm EST AIML Contest Workshop: This workshop coaches contest participants, either on-site or off-site, on how the DN2 Engine runs. Some of the topics covered during the workshop are: Implementation details of the network, training and evaluation procedures, and instructions to report the network's performance. Participation is free for registered contestants. To register for the Contest, send a copy of a recent CV (one for each team member) and a Statement of Team Purpose to Juan L. Castro-Garcia (castrog4 at msu.edu) and cc to Juyang Weng (weng at cse.msu.edu) with "AIML 2019 Contest Registration" in the subject line. To take BMI courses, you need to be admitted into BMI first. Apply for admission at the BMI site http://www.brain-mind-institute.org/program-registration/ After you are admitted into BMI, you can proceed with registration of BMI courses. For more information regarding rules and instructions of the Contest, visit the Contest website: http://www.brain-mind-institute.org/AIMLcontest/ Contestants do not have to get admitted into BMI. Organizers: Juyang Weng (General Chair) Juan L. Castro-Garcia (Program Chair, Language Chair) Zejia Zheng (Vision Chair) Xiang Wu (Audition Chair) Feel free to direct any questions to Juyang Weng (weng at cse.msu.edu) and Juan L. Castro-Garcia (castrog4 at msu.edu). Important dates: July 13, 2019: Early registration deadline for AIML Contest July 14, 2019: AIML Contest Kickoff in conjunction with IJCNN 2019 in Budapest (webcast will be made available through the YouTube channel Brain-Mind Talks and Youku channel Brain_Mind_Talks) July 28, 2019: Late registration deadline for AIML Contest July 29 - Aug. 9, 2019: AIML Contest 2019 Workshop Nov. 17, 2019: Contest results due by 11:59 pm EST -------------- next part -------------- An HTML attachment was scrubbed... URL: From morgado.uma at gmail.com Thu Apr 4 19:01:44 2019 From: morgado.uma at gmail.com (Morgado Dias) Date: Fri, 5 Apr 2019 00:01:44 +0100 Subject: Connectionists: Paradise on Earth-Azores-Last CFP-IEEE-International Conf. in Engineering Applications-Azores-Portugal-8-11 July2019 - Second CFP Message-ID: Dear Colleagues, Can you please help spreading the information about this conference which has in relevant areas for your unit/list. Thank you, Morgado Dias Universidade da Madeira Assistant Professor in Electronics and Telecommunications Automation and Instrumentation PhD Director morgado at uma.pt Tel.: 291-705307 Dear Colleagues: Last chance to submit and visit a paradise on earth: the Azores Islands. The deadline is on the 15st of April. Please note also that we have now set Special Issues in: Entropy (IF: 2.305, Q2) Energy, Ecology and Environment Applied Mathematics & Information Sciences Hope to receive your submission soon, Best regards, Morgado Dias on behalf of the Chairs: H?lia Guerra and Jos? Machado __________________________ Dear Colleagues, INVITATION It is our great pleasure to invite you to participate in the International Conference Engineering Applications ? ICEA, to be held in Sao Miguel, Azores, July 8th to 11th, 2019, organised by the Institute of Knowledge and Development, the University of Azores, the University of Madeira and the Madeira Interactive Technologies Institute jointly. Contributions are welcome in both theoretical developments and practical implementations in all areas involving Engineering Applications. Between all contributions presented, two will be selected to receive a best paper award. More information in the call for papers. ICEA will provide an excellent opportunity for presenting new results and to discuss the latest research and developments in the field. Visit homepage Deadlines Full Paper Submission: April 15, 2019 Notifications: May 12, 2019 Final Paper Submission (Camera Ready): May 22, 2019 Early registration: May 22, 2019 Registration limit (for authors): June 15, 2019 Conference dates: July 8-11, 2019 Conference Topics: Submitted papers will be peer reviewed by a minimum of 2 reviewers holding a PhD with expertise in the submission topics. Papers are invited in all areas of Engineering Applications including (but not limited to) the following areas: This conference will join engineering related application areas and is organised in multiple tracks: Track1: Biomedical Engineering Applications Track2: Energy and Sustainability for Small Developing Economies Track3: Internet of Things for Global Community Track4: Electronics Applications and System Integration for Future Technologies Track5: Education in Engineering 2018 Proceedings will be submitted for inclusion in IEEE Xplore/Digital Library. Submit ? This conference is co-located with other conferences (check iknowd.org ) and participants can follow all the conferences. Morgado Dias Universidade da Madeira Assistant Professor in Electronics and Telecommunications Automation and Instrumentation PhD Director morgado at uma.pt Tel.: 291-705307 Researcher Polo Cient?fico e Tecnol?gico da Madeira 9020-105 FUNCHAL Tel (351) 291 721 006 www.m-iti.org | admin at m-iti.org July 2018 conferences: EASIFT - WORKSHOP ? ELECTRONICS APPLICATIONS and SYSTEM INTEGRATION for FUTURE TECHNOLOGIES ? EASIFT ES2DE? - IEEE - INTERNATIONAL CONFERENCE ON ENERGY AND SUSTAINABILITY IN SMALL DEVELOPING ECONOMIES ICBEA - IEEE - INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND APPLICATIONS ICMA - INTERNATIONAL CONFERENCE ON MATHEMATICAL AND APPLICATIONS ICAP - INTERNATIONAL CONFERENCE ON APPLIED PSYCHOLOGY AND HUMAN BEHAVIOR -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 12951 bytes Desc: not available URL: From pel at gatsby.ucl.ac.uk Fri Apr 5 03:30:39 2019 From: pel at gatsby.ucl.ac.uk (Peter Latham) Date: Fri, 5 Apr 2019 08:30:39 +0100 (BST) Subject: Connectionists: Meeting announcement: Neural Coding, Computation and Dynamics In-Reply-To: References: Message-ID: ? ?? Neural Coding, Computation and Dynamics (NCCD) ? ? ? ? ? ? ? ??????? September 22 - 25, 2019 ? ? ? ? ? ? ? ? ? ? ? ? ? Capbreton, France https://nccd2019.sciencesconf.org Registration now open! Important dates: May 20: abstract submission deadline June 3: early registration deadline NCCD19 is the fourth in a series of meetings focusing on topics in theoretical and experimental neuroscience. As with previous workshops, our goal is to foster the strong interactions we believe are so important for this field. So the meeting will be small (~70 people). About half the talks will be invited and half contributed, and there will be poster sessions on two of the nights. Time for informal discussion will be emphasized during breaks and at mealtimes - with lunch and dinner at the conference venue included in the cost of registration. Venue: Casino de Capbreton, Capbreton, France. https://www.casino-capbreton.com/ translation to English: https://translate.google.com/translate?hl=en&sl=fr&u=https://www.casino-capbreton.com/&prev=search Important dates: May 20: abstract submission deadline June 3: early registration deadline Confirmed speakers: Athena Akrami (UCL) Mitya Chklovskii (Flatiron Institute NYU) Marlene Cohen (Pittsburgh) Sandeep Robert Datta (Harvard) David Kleinfeld (UCSD) Peter Latham (UCL) Gilles Laurent (Max Planck Frankfurt) Stephanie Palmer (Chicago) Alex Pouget (Geneva) Daniela Vallentin (Berlin) Organizers: Andrea Hasenstaub (UCSF) Srdjan Ostojic (ENS Paris) Peter Latham (UCL) Previous meetings: http://www.gatsby.ucl.ac.uk/nccd/ From gemmar at mit.edu Fri Apr 5 05:10:25 2019 From: gemmar at mit.edu (Gemma Roig) Date: Fri, 5 Apr 2019 09:10:25 +0000 Subject: Connectionists: MIT challenge and workshop (July 19-20): The Algonauts project - explaining brain data with computational models Message-ID: <41F935E5-F4F4-416A-8844-128D9B1A9360@mit.edu> Dear community, The Algonauts Project has launched its first Challenge, Explaining the Human Visual Brain , inviting you to come up with a computer model of how the human brain sees and recognizes objects. Participants who develop the best models will be invited to present their work at a workshop July 19-20 at MIT in Cambridge, Mass. The overall goal of the Algonauts Project is to explain brain data with computational models, and to bring biological and AI researchers together on a common platform to advance human and machine intelligence research. To enter the 2019 Explaining the Human Visual Brain Challenge, download the development kit and data here: http://algonauts.csail.mit.edu/challenge.html The deadline to submit a model is June 22, 2019. Please also join us July 19-20 at MIT for the Algonauts? Explaining the Human Visual Brain Workshop. The workshop will feature student tutorials, presentations from Challenge winners, and talks by pioneers in neuroscience, cognitive science and computer science. Good luck with your submission and we look forward to seeing you at the workshop in July! Best, The Algonauts Project team Organizers: Radoslaw Cichy, FUB Aude Oliva, MIT Gemma Roig, SUDT -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1865 bytes Desc: not available URL: From csn at leicester.ac.uk Fri Apr 5 05:07:28 2019 From: csn at leicester.ac.uk (CSN) Date: Fri, 5 Apr 2019 09:07:28 +0000 Subject: Connectionists: =?windows-1252?q?MSc_in_Computational_and_Systems?= =?windows-1252?q?_Neuroscience_=96_University_of_Leicester?= Message-ID: MSc in Computational and Systems Neuroscience ? University of Leicester We are delighted to introduce a new one-year, full-time postgraduate degree covering theoretical and practical aspects of modern computational neuroscience, and their applications in areas of cellular, systems and cognitive neuroscience. Students will learn the basics of neuroscience and how to apply different approaches from artificial intelligence and machine learning into neuroscience data modelling and analysis. The MSc Project will provide substantial experience with the main steps of undertaking a neuroscience research project, including experimental design, data acquisition, analysis and result interpretation. The programme will take advantage of the expertise of Centre for Systems Neuroscience (CSN) staff, whose research bridges the experimental and theoretical worlds. Applications for October 2019 entry will be accepted in May 2019. We welcome applicants with a background in Psychology, Biological Sciences (or related disciplines), Neuroscience, Computer Science, Engineering, Physics, or Mathematics. Further details can be found on our webpage: https://le.ac.uk/courses/computational-and-systems-neuroscience-msc/2019 Please contact Joy Kocik on msccn at le.ac.uk or +44 (0) 116 373 6264 for more information. With best regards, Dr Hernan Rey Programme Lead University of Leicester From friedhelm.schwenker at uni-ulm.de Fri Apr 5 05:22:07 2019 From: friedhelm.schwenker at uni-ulm.de (Friedhelm Schwenker) Date: Fri, 5 Apr 2019 11:22:07 +0200 Subject: Connectionists: Open position at Ulm University - Assistant Professor (W1) of Explainable AI In-Reply-To: References: Message-ID: The Faculty of Engineering, Computer Science and Psychology at Ulm University is seeking to fill the position, starting as early as possible, of an *Assistant Professor (W1) of Explainable Artificial Intelligence*? (without Tenure Track)? (m/f/d) Please find detailed information at https://stellenangebote.uni-ulm.de/jobposting/1a70c6577b02fde6f7cafa3c85e0eb88e29477ee -- PD Dr. Friedhelm Schwenker University of Ulm Institute of Neural Information Processing D-89069 Ulm, Germany phone: +49-731-50-24159 fax: +49-731-50-24156 email:friedhelm.schwenker at uni-ulm.de www:http://www.uni-ulm.de/in/neuroinformatik/mitarbeiter/f-schwenker.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From gemmar at mit.edu Fri Apr 5 10:06:32 2019 From: gemmar at mit.edu (Gemma Roig) Date: Fri, 5 Apr 2019 14:06:32 +0000 Subject: Connectionists: MIT challenge and workshop (July 19-20): The Algonauts project - explaining brain data with computational models Message-ID: Dear community, The Algonauts Project has launched its first Challenge, Explaining the Human Visual Brain>, inviting you to come up with a computer model of how the human brain sees and recognizes objects. Participants who develop the best models will be invited to present their work at a workshop July 19-20 at MIT in Cambridge, Mass. The overall goal of the Algonauts Project is to explain brain data with computational models, and to bring biological and AI researchers together on a common platform to advance human and machine intelligence research. To enter the 2019 Explaining the Human Visual Brain Challenge, download the development kit and data here: http://algonauts.csail.mit.edu/challenge.html The deadline to submit a model is June 22, 2019. Please also join us July 19-20 at MIT for the Algonauts? Explaining the Human Visual Brain Workshop. The workshop will feature student tutorials, presentations from Challenge winners, and talks by pioneers in neuroscience, cognitive science and computer science. Good luck with your submission and we look forward to seeing you at the workshop in July! Best, The Algonauts Project team Organizers: Radoslaw Cichy, FUB Aude Oliva, MIT Gemma Roig, SUDT -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1865 bytes Desc: not available URL: From lpulina at uniss.it Fri Apr 5 09:38:37 2019 From: lpulina at uniss.it (Luca Pulina) Date: Fri, 5 Apr 2019 15:38:37 +0200 Subject: Connectionists: QBFEVAL'19 Competitive Evaluation of QBF Solvers - DEADLINE EXTENSION Message-ID: <78975be8-127c-015f-740e-7d87ee5ded5e@uniss.it> apologies for any cross-posting] ******************************************************************************** QBFEVAL'19 - Competitive Evaluation of QBF Solvers A joint event with the 22nd Int. Conference on Theory and Applications of Satisfiability Testing (SAT) Lisbon, Portugal, July 7 - 12 2019 ******************************************************************************** QBFEVAL'19 is the 2019 competitive evaluation of QBF solvers, and the fourteenth evaluation of QBF solvers and instances ever. QBFEVAL'19 awards solvers that stand out as being particularly effective on specific categories of QBF instances. We warmly encourage developers of QBF solvers to submit their work, even at early stages of development, as long as it fulfills some very simple requirements. We also welcome the submission of QBF formulas to be used for the evaluation. Researchers thinking about using QBF-based techniques in their area (e.g., formal verification, planning, knowledge representation & reasoning) are invited to contribute to the evaluation by submitting QBF instances of their research problems (see the requirements for instances). The results of the evaluation will be a good indicator of the current feasibility of QBF-based approaches and a stimulus for people working on QBF solvers to further enhance their tools. For questions, comments and any other issue regarding QBFEVAL'19, please get in touch with the organizers via qbfeval at qbflib.org. Details about solvers and benchmarks submission, tracks, and related rules, are available at http://www.qbflib.org/qbfeval19.php *Important Dates* Registration open: March 31, 2019 Registration close: April 21, 2019 Solvers and Benchmarks due: April 30, 2019 First stage results: May 15, 2019 Second stage solvers due: May 30, 2019 Competition Benchmarks available for download: July 1, 2019 Final results: presented at SAT'19 *Organization* Luca Pulina, University of Sassari Martina Seidl, Johannes Kepler Universitat Linz Ankit Shukla, Johannes Kepler Universitat Linz -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From lpulina at uniss.it Sun Apr 7 11:41:15 2019 From: lpulina at uniss.it (Luca Pulina) Date: Sun, 7 Apr 2019 17:41:15 +0200 Subject: Connectionists: [CALL FOR WORKSHOP PROPOSALS] AIIA19 - The 18th International Conference of the Italian Association for Artificial Intelligence Message-ID: <8f4e3f3d-22e2-481f-57f0-ca5dfa37ffc0@uniss.it> [apologies for any cross-posting] **************************************************************************************************************************************************************CALL FOR WORKSHOP PROPOSALS AIIA19 - The 18th International Conference of the Italian Association for Artificial Intelligence UNICAL, Rende (CS), 19-22 November 2019 ************************************************************************************************************************************************************** The AIIA 2019 Conference will host a series of workshops dedicated to specific and hot topics that will complement the main conference program. AI*IA Working Groups, scientific and industrial research groups, and individual researchers interested in a subarea of Artificial Intelligence or in a related topic of growing importance are invited to submit proposals of workshops associated with the AIIA 2019 conference. We particularly welcome proposals aimed at bringing together researchers from a wide range of disciplines, to exchange ideas and to allow cross-fertilization. Workshop proposals should be submitted in English as a single PDF file not longer than 4 (four) pages containing the following sections: - Workshop title and acronym - Workshop organizers (affiliation, contact details, homepage, prior experiences with workshop organization) - Motivation and scientific relevance to the conference audience - Keywords (describing the main themes of the workshop) (from 3 to 5) - Abstract (up to 200 words) - Description of the workshop (topics and goals of the workshop) (up to 800 words) - Organizational details such as: thematic panels, demo sessions, invited talks - Initial list of (potential) members of the program committee - Previous editions of the workshop series (if applicable) (URLs, conference it was co-located with, number of registrants, number of submissions, number of accepted papers, and any other relevant information) - Length of the workshop (in hours) Proposals should be submitted via Easychair: https://easychair.org/conferences/?conf=aixia2019wt The expected number of submissions is at least 5 for half-day workshops and at least 8 for full-day ones. Workshops that do not reach the suggested target might not be activated or may be merged with other events. Workshop schedule: each workshop will be assigned a number of slots (from 1 to 3 slots) during the conference days. A slot can vary from 1 to 2.5 hours. The distribution of slots will take into account the accepted papers and workshop organization. **Management of the submission, review, and publishing process.** The workshops organizers will manage on their own the submission, review, and publishing process. The key dates and publication policy must be shared with the conference organization. Workshop proceedings should preferably be published in CEUR Workshop Proceedings AIIA Series http://ceur-ws.org/aixia.html selecting Workshop as the submission topic. The workshop Call for Papers, all other calls, and the website should clearly state that the workshop is held within the AIIA 2019 Conference, including the URL of the conference website (https://aiia2019.mat.unical.it) All workshop participants (including the organizers) will have to register through the AIIA 2019 registration service. The workshops must notify acceptance of papers by September 20th, 2019, to allow authors to enjoy the early registration fee. ***Important dates*** Deadline for workshop proposals submission: June 5th, 2019 Notification: June 21st, 2019 Workshops date: November 19th-22nd, 2019 Workshops Chair Rafael Pe?aloza, University of Milano-Bicocca, Italy -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From inesdomingues at gmail.com Sun Apr 7 13:42:25 2019 From: inesdomingues at gmail.com (=?UTF-8?Q?In=C3=AAs_Domingues?=) Date: Sun, 7 Apr 2019 18:42:25 +0100 Subject: Connectionists: VipIMAGE 2019 Porto, Portugal - CALL FOR CONTRIBUTIONS (deadline postponed) In-Reply-To: References: <82B27ABA-FD52-4AAD-9B93-FB0C1BD877E1@fe.up.pt> Message-ID: VII ECCOMAS Thematic Conference VipIMAGE 2019 www.fe.up.pt/vipimage October 16-18, 2019, Porto, Portugal Chairs: Jo?o Manuel R. S. Tavares & Renato Natal Jorge, Universidade do Porto ----------------------------------------------------------------------------------------------------------- Dear Colleague, We are pleased to announce the International Conference VipIMAGE 2019 - VII ECCOMAS THEMATIC CONFERENCE ON COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING (www.fe.up.pt/vipimage) to be held in October 16-18, 2019, in Axis Vermar Conference & Beach Hotel, Porto, Portugal. Possible Topics (but not limited to) - Signal and Image Processing - Computational Vision - Medical Imaging - Physics of Medical Imaging - Tracking and Analysis of Movement - Simulation and Modeling - Image Acquisition - Industrial Applications - Shape Reconstruction - Segmentation, Matching, Simulation - Data Interpolation, Registration, Acquisition and Compression - 3D Vision - Machine Learning, Deep Learning and Big Data - Virtual Reality - Visual Inspection - Software Development for Image Processing and Analysis - Computer Aided Diagnosis, Surgery, Therapy, and Treatment - Computational Bioimaging and Visualization - Telemedicine Systems and Applications Invited Lecturers - Aur?lio Campilho, Universidade do Porto, Portugal - Danail Stoyanov, University College London, UK - Daniela Iacoviello, Sapienza University of Rome, Italy - Jo?o Paulo Papa, Universidade Estadual de S?o Paulo, Brazil - Jos Vander Sloten, KU Leven, Belgium - Wafa Skalli, Arts et M?tiers ParisTech, France Thematic Sessions Proposals to organize Thematic Sessions under the auspicious of VipIMAGE 2019 are welcome. Proposals for Thematic Sessions should be submitted by email to the conference co-chairs (tavares at fe.up.pt, rnatal at fe.up.pt). Accepted Thematic Sessions - Cardiovascular, Cerebrovascular and Orthopaedic diseases: Imaging and Modelling - Advances and Imaging Challenges in Micro and Nanofluidics - Intersection between Image Processing and Machine Learning in Biomedical Applications - Direct Digital Fabrication in Medicine: from digital data to physical models - Computer Simulations and Visualization Applied to Tissue Engineering - Parameterization of Reconstructed Organ Models - Computational vision and image processing applied to Dentistry - Network Neuroscience Publications Proceedings: The proceedings book will be published by Springer under the book series "Lecture Notes in Computational Vision and Biomechanics" indexed by Elsevier Scopus. Journal Publication: A dedicated special issue of the Taylor & Francis international journal "Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization" indexed in Scopus, DBLP and Clarivate Analytics Emerging Sources Index will be published with extended versions of the best works presented in the conference. Springer Book: A book with invited works from the ones presented in the conference will be organized for publishing by Springer. Important Dates - Deadline for Extended Abstracts: April 30, 2019 - Authors Notification: May 15, 2019 - Deadline for Papers (non-mandatory): June 15, 2019 We are looking forward to see you in Porto in October, 2019, Jo?o Manuel R. S. Tavares Renato Natal Jorge (VipIMAGE 2019 co-chairs) For further details, please, have a look in the conference website at: www.fe.up.pt/vipimage, the Facebook page at: www.facebook.com/ECCOMASVipIMAGE, or join the LinkedIn group at: www.linkedin.com/groups/4752820. From jorgecbalmeida at gmail.com Mon Apr 8 04:28:52 2019 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Mon, 8 Apr 2019 09:28:52 +0100 Subject: Connectionists: Accepting applications for the Inter-university Master program in Clinical and Experimental Neuropsychology (IMCEN) in Portugal! Message-ID: The Inter-university Master program in Clinical and Experimental Neuropsychology (IMCEN) is accepting applications! IMCEN is an innovative graduate program joining the faculty and research resources from three of the top Portuguese Universities (Universities of Coimbra, Lisbon and Minho). We aim at selecting an international group of psychology graduates with solid background in psychology and neurosciences, highly motivated to pursue a career in clinical and/or experimental neuropsychology. Students will be provided with extensive training in cognitive neuroscience along with training in neuropsychological assessment and rehabilitation. This is accomplished through a 4 semester training program. Information on the program and courses can be found here: https://www.psi.uminho.pt/en/education/imcen/Pages/student-candidates.aspx A total of 18 students will be selected and allocated to one of three residence campi (University of Coimbra, University of Lisbon or University of Minho) according to the application process (6 per campus). The official teaching language is English. Applicants have to have a BA in Psychology or Psychological Sciences. Depending on who they want to work with, specific skills may be desirable ? strong programming skills, experience with fMRI data collection and analysis, etc. Applicants should select one of the faculty as a potential supervisor based on shared interests ? faculty include European Research Council grantees and very dynamic and active international researchers in the area. Specifically, the faculty includes ?scar Gon?alves ( *https://www.researchgate.net/profile/Oscar_Goncalves* ), M?rio Sim?es ( *ORCID: 0000-0002-1311-1338*), Adriana Sampaio ( https://www.researchgate.net/profile/Adriana_Sampaio2), Ana Pinheiro ( https://www.researchgate.net/profile/Ana_Pinheiro4/contributions), Ana Raposo (http://www.araposo.com/) and Jorge Almeida ( *https://scholar.google.com/citations?hl=en&user=ejJVE0wAAAAJ&view_op=list_works&sortby=pubdate* ). For more information see: https://www.psi.uminho.pt/en/education/imcen/Pages/faculty.aspx Call for applications will be provided soon (should be between July 1st and July 24th), but we recommend contacting the faculty as a demonstration of interest. Specifically, if you want to work with Jorge Almeida you are strongly advised to contact him directly at (jorgealmeida at fpce.uc.pt). The application process will take place online, and will require the following items: - Official university transcripts (candidates area required to have a Psychology or Psychological Sciences degree with at least 180 ECTS completed by the time of registration); - A Curriculum Vitae (online form available); - A personal statement that clear shows how the candidate fits at least one of the faculty (online form available); - Name of potential referees. All candidates will be individually interviewed (international candidates may be interviewed online). For costs, please see: https://www.psi.uminho.pt/en/education/imcen/Pages/student-candidates.aspx Portugal is a fantastic country to live in, with a very attractive cost of living, superb standards of living and diverse points of interest ? an extensive ocean front, mountains, world heritage monuments, etc! We will be waiting for you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Mon Apr 8 07:53:35 2019 From: m.biehl at rug.nl (Michael Biehl) Date: Mon, 8 Apr 2019 13:53:35 +0200 Subject: Connectionists: e-book announcement: Big Data and Neural Networks Message-ID: Dear Connectionists, We are pleased to announce the publication of the electronic proceedings of the XXX (30th) Canary Islands School of Astrophysics on Big Data, Machine Learning and Neural Networks in Astronomy, which was held in Tenerife, Spain, in November 2018. These proceedings consist of three parts, namely (i) introductory papers by each of the five lecturers, (ii) video recordings of the 20 lectures delivered during the school, and (iii) presentation files used in the lectures, as well as notes for the tutorials. The lecturers and topics were: S. George Djorgovski (CalTech, USA): General overview on the use of machine learning techniques in astronomy Mario Juric (Univ. Washington, USA): Data challenges and solutions in forthcoming surveys; Dalya Baron (Tel Aviv University, Israel): Machine learning methods for non-supervised classification and dimension reduction techniques; Michael Biehl (Uni. of Groningen, the Netherlands): Supervised learning: classification and regression; Marc Huertas-Company (IAC Tenerife, Spain): Deep learning. We envisage this collection of training material to be a powerful resource for self-study by both starting and experienced colleagues who wish to learn more about Big Data in astronomy and how to handle it. The proceedings webpage is at: http://www.iac.es/winterschool/2018/pages/book-ws2018.php The editors, Ana Monreal-Ibero, Jorge S?nchez Almeida, Johan Knapen --------------------------------------------------------------------------------------------- WARNING: For more information on privacy and fulfilment of the Law concerning the Protection of Data, consult http://www.iac.es/disclaimer.php?lang=en ______________________ posted for the editors by: Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From cristian.rodriguezrivero at gmail.com Mon Apr 8 14:17:21 2019 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Mon, 8 Apr 2019 11:17:21 -0700 Subject: Connectionists: Symposium "Functional significance of oscillatory brain activity and Closed-loop stimulation" - Center for Neuroscience - UCDavis In-Reply-To: References: Message-ID: We invite you to join us in the Symposium "Functional significance of oscillatory brain activity and Closed-loop stimulation" Thursday, May 9th, 2019, Center for Neuroscience, the University of California at Davis Putah Creek Lodge, Davis, CA, 95618 On May 9th we will host a full-day symposium on brain oscillations and closed-loop stimulation. While registration is free, *registration is required* due to limited seating capacity and needing a head count for the catering. You can find additional information regarding the symposium, including the list of speakers, and register at the following website: https://www.eventbrite.com/e/neuroengineering-symposium-tickets-59803279218 There are some rooms on hold at the Hyatt Place for the event at the university rate ($169 per night), which can be booked (while still available) by going to https://ucdavis.place.hyatt.com/en/hotel/home.html?corp_id=G-U275 Cristian Rodriguez Rivero, Ph.D, EE Center for Neuroscience University of California LA-CIS Board of Directors and Steering Committee (la-cci.org) Adj. Prof. at Aeronautical University Institute (IUA) http://fi.iua.edu.ar/ Mathematics Research Laboratory applied to Control (LIMAC) Universidad Nacional de C?rdoba *www.inv.limac.efn.uncor.edu/?page_id=292 *, e-mail: crodriguezrivero at ieee.org , crivero at iua.edu.ar crodriguezrivero at ucdavis.edu Cell: +1 (530) 407-9152 <%2B1%20%28530%29%20757-8827> -------------- next part -------------- An HTML attachment was scrubbed... URL: From t.hain at sheffield.ac.uk Mon Apr 8 09:28:55 2019 From: t.hain at sheffield.ac.uk (Thomas Hain) Date: Mon, 8 Apr 2019 14:28:55 +0100 Subject: Connectionists: FULLY FUNDED FOUR-YEAR PHD STUDENTSHIPS In-Reply-To: References: Message-ID: FULLY FUNDED FOUR-YEAR PHD STUDENTSHIPS UKRI CENTRE FOR DOCTORAL TRAINING IN SPEECH AND LANGUAGE TECHNOLOGIES AND THEIR APPLICATIONS Department of Computer Science Faculty of Engineering University of Sheffield We are pleased to announce the opening of the UK Centre for Doctoral Training (CDT) in Speech and Language Technologies (SLTs) and their Applications, hosted at The University of Sheffield. The centre aims to become a world-leading hub for training scientists and engineers in SLT ? two core areas within artificial intelligence (AI) which are experiencing unprecedented growth and will continue to do so over the next decade. It will give students the best possible advanced training in the theory and application of computational speech and language processing, in a setting that fosters interdisciplinary approaches, innovation and engagement with real world users and awareness of the social and ethical consequences of work in this area. Students will be taught by members of the internationally recognised Speech and Hearing (SpandH) and Natural Language Processing (NLP) research groups, with secondary supervision from relevant experts in other disciplines across the University. The CDT will provide fully-funded 4-year studentships in 5 intake cohorts of 12 students per year totalling at least 60 studentships over the 8 year programme. A significant number of PhD students will work in direct collaboration with industry and all students will work on tasks and data provided by real world applications. The Centre will officially open on April 1, 2019 with our first intake cohort of students starting October 2019. Formal applications will be accepted beginning late April, but interested candidates may register their interest now (see below). We expect to close applications for the coming academic year by the end of June 2019. Eligibility for funding: UKRI, the main funder of the studentships requires most students to meet certain residence requirements. To be eligible for an award a student must have no restrictions on how long they can stay in the UK and have been ordinarily resident in the UK for at least 3 years prior to the start of the studentship. These conditions would typically be met by UK and some EU nationals. However, the CDT will have **some limited opportunity to accept a small number of international students** who do not meet the above criteria. More information on the decision making process for international students will be available within the next few weeks. For further details on UKRI conditions please see their website: https://epsrc.ukri.org/skills/students/help/eligibility/. For more details see: slt-cdt.ac.uk and for specific enquiries or to register your interest please contact sltcdt-enquiries at sheffield.ac.uk. -- Thomas Hain Technical Program Chair Interspeech 2019 Director UKRI Centre for Doctoral Training in Speech & Language Technologies Head of Speech and Hearing Research, University of Sheffield Director Voicebase Centre for Speech & Language Technology Professor of Speech and Audio Technology, University of Sheffield http://www.dcs.shef.ac.uk/~th -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Mon Apr 8 13:36:25 2019 From: gangluo at cs.wisc.edu (GANG LUO) Date: Mon, 8 Apr 2019 17:36:25 +0000 Subject: Connectionists: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019) Message-ID: -- Call for Papers -- The Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019) In Conjunction with VLDB 2019 Los Angeles, CA, USA August 30, 2019 http://dmah.info/ Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic- data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field. This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. Topics of interest include, but not limited to: Big data management for medical data; Blockchain for healthcare; Biomedical data integration; Biomedical knowledge management and decision support; Semantics and interoperability for healthcare data; Clinical natural language processing and text mining; Predictive modelling for diagnosis and treatment; Visual analytics for medical data; Medical image analytics; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health (public health 2.0); Data analytics for pervasive computing for medical care. DMAH 2019 accept two types of papers: 1) Regular research papers reporting original research results or significant case studies (18 pages). 2) Extended abstracts presenting novel research directions or challenging problems (4 pages). Important Dates: Abstract (optional): May 25, 2019 Individual Workshop Papers: June 1, 2019 Notification of Acceptance: June 25, 2019 Camera Ready: June 30, 2019 Workshop date: August 30, 2019 All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer LNCS. Workshop Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Yanhui Liang, Google Alevtina Dubovitskaya, Lucerne University of Applied Sciences and Arts and Swisscom, Switzerland From luca.oneto at unipi.it Tue Apr 9 05:19:31 2019 From: luca.oneto at unipi.it (Luca Oneto) Date: Tue, 9 Apr 2019 11:19:31 +0200 Subject: Connectionists: Multiple Full Funded Positions Message-ID: Apologies for cross-posting. Kindly help to distribute this call to your mailing lists. We are seeking excellent candidates for multiple positions on the following subjects. 1) Algorithmic Fairness (Funded on grants provided by SAP SE and Amazon AWS) @ University College London, Istituto Italiano di Tecnologia, University of Pisa, and University of Genoa (Supervisors: Luca Oneto, Michele Donini, and Massimiliano Pontil) 2) Data Science for Marine Industry (Funded by Damen and Defence Materiel Organisation) @ University of Strathclyde, University of Pisa, and University of Genoa (Supervisors: Luca Oneto, Andrea Coraddu, and Davide Anguita) 3) Data Science and AI for Railway Industry (Funded by Hitachi Rail) @ University of Pisa and University of Genoa (Supervisors: Marco Maratea, Luca Oneto and Davide Anguita) 4) Data Science for Industry 4.0 (Funded by Aizoon and VarGroup) @ University of Pisa and University of Genoa (Supervisors: Luca Oneto and Davide Anguita) Salary and Position (Studentship, Research Assistant, PhD, PostDoc, and Assistant Professor) will depend on the skills of the candidates. Candidates will have the opportunity to work supervised by a large and multi-faced research group and to achieve double titles. Candidates will also have the opportunity to spend time in the industry (Amazon, Damen, Aizoon, VarGroup, and Hitachi). If you are interested please send an email to luca.oneto at gmail.com with your CV and your interests. Davide Anguita https://scholar.google.it/citations?user=8v2Jpf0AAAAJ&hl=en&oi=ao Andrea Coraddu https://scholar.google.it/citations?hl=en&user=FgkEP98AAAAJ Michele Donini https://scholar.google.it/citations?hl=en&user=u3ogi00AAAAJ Marco Maratea https://scholar.google.it/citations?user=FmYjiNAAAAAJ&hl=en Luca Oneto https://scholar.google.it/citations?hl=en&user=6iuNKAIAAAAJ Massimiliano Pontil https://scholar.google.it/citations?hl=en&user=lcOacs8AAAAJ Aizoon https://www.aizoongroup.com/home.aspx Amazon AWS https://aws.amazon.com Damen https://www.damen.com Defence Materiel Organisation https://english.defensie.nl/organisation/dmo Hitachi Rail http://italy.hitachirail.com/en SAP SE https://www.sap.com/corporate/en.html VarGroup https://www.vargroup.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From navlakha at salk.edu Mon Apr 8 11:48:22 2019 From: navlakha at salk.edu (Saket Navlakha) Date: Mon, 8 Apr 2019 08:48:22 -0700 Subject: Connectionists: Biological Distributed Algorithms (BDA) 2019 -- Call for papers! Message-ID: <1556F5EC-90E0-48FC-A70B-46FBD074E45B@salk.edu> ================================================================ The 7th Workshop on Biological Distributed Algorithms (BDA 2019) July 29, 2019 in Toronto, CA. Co-located with PODC 2019 http://www.snl.salk.edu/~navlakha/BDA2019/ ================================================================ We are excited to announce the 7th workshop on Biological Distributed Algorithms (BDA). BDA is focused on the relationships between distributed computing and distributed biological systems and in particular, on analysis and case studies that combine the two. Such research can lead to better understanding of the behavior of the biological systems while at the same time developing novel algorithms that can be used to solve basic distributed computing problems. We have traditionally focused on distributed computing in insect colonies and neural circuits, but we more than welcome other topic areas. This is a one-day workshop. =============================== INVITED SPEAKERS [MORE COMING!] =============================== Joel Levine, U Toronto William Ryu, U Toronto Jared Saia, UNM =============== IMPORTANT DATES =============== May 6, 2019 ? Extended abstract submission deadline May 29, 2019 ? Decision notifications July 29, 2019 ? Workshop =========== SUBMISSIONS =========== We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and an extended abstract of at most 4 pages. Please use the following EasyChair submission link: https://easychair.org/conferences/?conf=bda2019 Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues. ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph, CMU Anna Dornhaus, University of Arizona Ila Fiete, MIT Amos Korman, CNRS and University of Paris Diderot Nancy Lynch, MIT Melanie Moses, University of New Mexico Calvin Newport, Georgetown Merav Parter, Weizmann Ted Pavlic, Arizona State University Andrea Richa, Arizona State University ========================== ORGANIZERS and PC CHAIRS ========================== Yuval Emek, Technion Saket Navlakha, Salk Institute From boubchir at ai.univ-paris8.fr Mon Apr 8 14:39:21 2019 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Mon, 8 Apr 2019 20:39:21 +0200 Subject: Connectionists: [Deadline Approaching] Call for Papers: Pattern Recognition Letters - Special Issue on Intelligent Industrial Digital Forensics and Biocybernetics: Practices and Challenges In-Reply-To: References: <29ac0587-83dc-4ebf-86e3-04a35c25e20b@ai.univ-paris8.fr> Message-ID: *********************************************************************** Apologize if you receive multiple copies of this message. *********************************************************************** *Special Issue on "Intelligent Industrial Digital Forensics and Biocybernetics: Practices and Challenges"****** in Pattern Recognition Letters journal*** Submission deadline: *15 April 2019 * https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/virtual-special-issue-on-intelligent-industrial-digital-fore *Motivations: * Digital forensic methodologies are widely used in industries to ensure authentication of multimedia data. Biocybernetics has emerged as a tool to secure systems from cyber threats via biometric based processes. Jointly, digital forensics and biocybernetics can ensure support system for high level security. The mechanisms of digital forensics and biocybernetic technologies presently need human expert interference, and cannot perform in automated way. Thereby these processes cannot be suited for in large scale industrial need in their present form. Hence a lot of research has been conducted in this domain during last few years, mostly all studies yielding sub-optimal solutions, which still encourages current researchers to conduct further research in this area. This special issue solicits original research articles, extensive reviews, and case studies in the aforementioned field of research. *Topics include, but are not limited to:* - Digital Forensic techniques applicable to large scale systems - Biocybernetic architecture management - Biosignal processing and biosensing systems - Brain-human-interface - Knowledge sharing systems for forensic analysis - Biocybernetic surveillance in industry - Anti-pattern search for biocybernetic spoofing - Biometric technologies for large scale industry - Industrial biometric data management - Parallel and distributed processing of forensic data - Cybercrime detection and mitigation - Uberveillance technologies for smart industry - Standards and protocols for industrial forensics *Important dates: * Submission deadline: *15 April 2019 * First review notification: 1 June 2019 Revision submission: 1 August 2019 Second review notification: 1 September 2019 Final notification to authors: 30 September 2019 Online publication: October 2019 *Submission Guidelines: * All submissions have to be prepared according to the Guide for Authors as published in the Journal Web Site at http://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide-for-authors. Submissions should be sent through http://ees.elsevier.com/prletters/. Authors should select the acronym "VSI:IIDFB-PC" as the article type, from the "Choose Article Type" pull-down menu during the submission process. The maximal length of a paper is 7 pages in the PRLetters layout and may become 8 in the revised version if referees explicitly request significant additions. The submitted papers should not have been previously published or be under consideration for publication elsewhere. If one submission is the extended work of one conference paper, the original work should be included and a description of the changes should be provided. The PRLetters submission should include at least 30% new contribution of high relevance (more experiments, proofs of theorems not included in the conference paper, more comparisons with other methods in the literature and so on); and the title of the PRLetters paper should be different, the same figures cannot be used and the common part of the conference paper and of the extended version cannot be verbatim the same. *Review Process: * The review process will follow the standard PRLetters scheme. Each paper will be reviewed by at least two referees and that, in general, only two reviewing rounds will be possible, out of which major revision is possible for the first reviewing round. Submissions will probably being rejected if major revision is still required after the second reviewing round. *Guest Editors: * Asso. Prof., Dr., Larbi Boubchir University of Paris 8, France E-mail: larbi.boubchir at ai.univ-paris8.fr Prof. Esma A?meur University of Montreal, Montreal, Canada E-mail: aimeur at iro.umontreal.ca Dr. Sambit Bakshi National Institute of Technology Rourkela, India E-mail: bakshisambit at nitrkl.ac.in Dr. Abdenour Hadid University of Oulu, Finland E-mail: hadid.abdenour at oulu.fi -- _____________________________________________________ Larbi Boubchir, PhD, SMIEEE Associate Professor LIASD - University of Paris 8 2 rue de la Libert?, 93526 Saint-Denis, France Tel. (+33) 1 49 40 67 95 Email. larbi.boubchir at ai.univ-paris8.fr http://www.ai.univ-paris8.fr/~boubchir/ _____________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From martinvinck at gmail.com Tue Apr 9 12:15:24 2019 From: martinvinck at gmail.com (Martin Vinck) Date: Tue, 9 Apr 2019 18:15:24 +0200 Subject: Connectionists: fully funded PhD positions Message-ID: Apologies for cross-posting: The laboratory of Dr. Martin Vinck at the Ernst Struengmann Institute for Neuroscience in Cooperation with Max Planck Society is seeking multiple candidates for computational neuroscience Ph.D. positions to be filled in Spring/Early Summer 2019. Positions are fully funded. These positions encompass following projects: 1) Theoretical and data-analytical approaches to population coding in the nervous system. These include: - Mathematical approaches to understand the relationship between rate and temporal coding. - Development of unsupervised machine learning techniques to study neuronal patterns in high-dimensional state-spaces, with an emphasis on temporal sequencies in neural activity. This work builds further on our recent Plos Computational Biology paper. - Study of state-space trajectories on short time-scales. 2) Study of travelling wave patterns from electrode arrays. The goal here is to detect different kinds of spatio-temporal travelling wave patterns and understand how they relate to behavior and sensory stimulation. 3) The study of predictive coding using deep learning network models. These projects include: - Use of deep learning models for predictive coding models, and optimization of learning strategies in unsupervised learning models. - Predicting features of neural activity from these models. 4) Development of algorithms and open-source platform for efficient analysis of high-dimensional neural datasets on high-performance computing clusters and GPUs in Julia or Python. The focus is on the extraction of network correlation measures in high-dimensional spiking datasets, and the development of new tools to quantify Granger-causality and spike-field coherence. PhD students will work together with experimental neuroscientists in our laboratory and apply methods and models on experimental datasets from primate and rodent animal models. Experiments in the laboratory include multi-areal electrophysiology with sillicon probes together with optogenetics. It is also possible for PhD students to participate actively in these experiments. We are primarily looking for students with training in a quantitative discipline (physics, electrical or biomedical engineering, computer science, mathematics, etc.), or neuroscientists with additional quantitative training. Some experience with neuroscience, or a proven interest in neuroscience, is a pre, but not a must. Frankfurt is an internationally oriented city with many prestigious neuroscience institutes in the neighbourhood, e.g. the Max Planck Institute for Brain Research , the FIAS and the Interdisciplinary Center for Neuroscience . Major collaborator on this project is Dr. Francesco Battaglia from the Donders Centre, Nijmegen. ------------------------------ Interested candidates are invited to send their application materials in electronic form (PDF format) to martin.vinck at esi-frankfurt.de Applications should contain a letter of intent, a detailed curriculum vitae, lists of university courses completed with marks obtained, and the names of at least two scientists who can give references (or at least two reference letters). Please indicate which projects are of your core interest. First deadline is 15th of April. The advertisement will be valid until positions are filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From hendrikje.nienborg at cin.uni-tuebingen.de Wed Apr 10 02:41:52 2019 From: hendrikje.nienborg at cin.uni-tuebingen.de (Hendrikje Nienborg) Date: Wed, 10 Apr 2019 08:41:52 +0200 Subject: Connectionists: Computational Vision Summer School 2019 in the Black Forest, Germany - Application deadline April 15th Message-ID: ** *[apologies for cross-posting]* * We are seeking applications for the 3rd Computational Vision Summer School (CVSS) from 30.6. to 7.7.2019 in Freudenstadt (Black Forest), Germany. The summer school, aimed at PhD students and Postdocs, spans the spectrum of vision research from neuroscience and psychophysics to computer vision to foster discussions at the intersection of biological and artificial vision systems. It seeks to bring together people from diverse disciplines who all share a computational view of vision and who, due to the diversity of disciplines involved, do not regularly meet. CVSS is free of tuition and accomodation is sponsored by the German Research Foundation (DFG: CRC/1233 Robust Vision). Application deadline: April 15, 2019 http://orga.cvss.cc/ Confirmed speakers: Ted Adelson (MIT, USA) Matthias Bethge (University of T?bingen, Germany) Michael Black (MPI-IS T?bingen, Germany) EJ Chichilnisky (Stanford University, USA) Alexei Efros (UC Berkeley, USA) Sanja Fidler (University of Toronto / NVIDIA, Canada) Chelsea Finn (UC Berkeley, USA) Roland Fleming (University Giessen, Germany) Bill Geisler (UT Austin, USA) Otmar Hilliges (ETH Z?rich, Switzerland) Mackenzie Mathis (Harvard University, USA) Bruno Olshausen (UC Berkeley, USA) Ruth Rosenholtz (MIT, USA) Stefan Roth (TU Darmstadt, Germany) Eero Simoncelli (New York University, USA) Antonio Torralba (MIT, USA) Raquel Urtasun (University of Toronto / Uber ATG, Canada) Felix Wichmann (University of T?bingen, Germany) Li Zhaoping (MPI-IS and University of T?bingen, Germany) Program Chairs and Advisory Board: Andreas Geiger, Hendrikje Nienborg, Siyu Tang, Bei Xiao Matthias Bethge, Michael Black, Felix Wichmann * -- Dr. Hendrikje Nienborg Werner Reichardt Centre for Integrative Neuroscience Universitaet Tuebingen Tel: +49 (0) 7071- 29 88846 email: hendrikje.nienborg at cin.uni-tuebingen.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.jansen at science.ru.nl Wed Apr 10 11:12:07 2019 From: n.jansen at science.ru.nl (Nils Jansen) Date: Wed, 10 Apr 2019 17:12:07 +0200 Subject: Connectionists: PhD Position on Explainable Data Science using Formal Verification @Radboud University Message-ID: <03AA7B5C-CD47-4183-96EE-DF652DE75044@science.ru.nl> Are you interested in improving the explainability of machine learning using formal verification? Are you interested in being a part of cutting edge research in cooperation with TNO and the iCIS institute at Radboud University, Nijmegen? Then apply for a PhD position within the EXoDuS project, where you will be jointly supervised by Dr. Nils Jansen (Radboud University, Nijmegen) and Dr. Guillermo Perez (University of Antwerp). * Responsibilities As a PhD candidate, you will work on the project EXplainable Data Science using Formal Verification (EXoDuS). The project is partially funded by the VWDATA programme and the Institute for Computing and Information Science (iCIS) of Radboud University and will be carried out in close cooperation with TNO. The impact of artificial intelligence (AI) on autonomous driving, robot-assisted surgery, and home automation has resulted in an increased reliance on AI systems. In mission-critical applications, the inherent vulnerability of such systems to adversarial attacks poses a serious challenge. We propose to immerse humans in the process of robustifying AI systems against problems such as adversarial learning or data poisoning via formal methods. Formal verification in particular provides tools and algorithms to rigorously assess the correctness of a system. The key element is to enable humans to understand AI-made decisions in an adversarial environment. Decision-making is sufficiently captured by so-called strategies; a neural network, for example, represents a strategy that has been learned. For such strategies, data scientists and system engineers lack tools to answer transparency-related questions. You will use formal techniques and directions such as SMT solving, model checking, and partially observable Markov decision processes. From the AI perspective, you will marry the aforementioned concepts with (convolutional) deep neural networks and decision trees. * Work environment Strategically located in Europe, Radboud University is one of the leading academic communities in the Netherlands. The position is available in the Software Science group of the Institute for Computing and Information Sciences (iCIS) at Radboud University. Research at iCIS focuses on software science, digital security and data science. Our research mission is to improve the security and reliability of computer-based systems and algorithms through mathematically founded theories, methods and tools. During recent evaluations, iCIS has been consistently ranked as the No. 1 Computing Science department in the Netherlands. Evaluation committees praised our flat and open organisational structure, our ability to attract external funding, our strong ties to other disciplines, and our solid contacts with government and industrial partners. The Software Science group is well known for its contributions to the mathematical foundations of software, formal methods, and functional programming. * Details The application deadline is April 14, 2019. More information and application form: https://www.ru.nl/werken/details/details_vacature_0/?recid=601933 For questions please contact Nils Jansen (n.jansen at science.ru.nl ). * Further information http://nilsjansen.org https://www.uantwerpen.be/en/staff/guillermoalberto-perez/ https://www.ru.nl/english/working-at/why-work-at-radboud-university-0/terms-employment/ https://commit2data.nl/en/vwdata https://www.ru.nl/icis/ https://www.tno.nl/en/ -- Dr. Nils Jansen Assistant Professor Department of Software Science Radboud University Nijmegen http://nilsjansen.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From auke.ijspeert at epfl.ch Wed Apr 10 14:30:08 2019 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Wed, 10 Apr 2019 20:30:08 +0200 Subject: Connectionists: PhD summit on Intelligent Systems on Oct. 2-4, 2019 at EPFL, Lausanne, Switzerland Message-ID: <2333fcc0-2c86-b442-fe13-d3c3e738f06b@epfl.ch> *PhD summit on Intelligent Systems on Oct. 2-4, 2019 at EPFL, Lausanne, Switzerland* https://phdsummit.epfl.ch/ Please circulate widely. Dear Colleagues, dear PhD students, The School of Engineering of EPFL in Switzerland is pleased to announce the 2nd edition of the annual Engineering *PhD Summit, a workshop for final year PhD students* interested in a career in academia. This year the summit will focus on *"Intelligent Systems"*, i.e. software and/or hardware systems that can interact with their dynamic environments, process data, perform proper actions, and improve over time,? see https://phdsummit.epfl.ch/intelligent-systems/ * *Workshop dates: October 2-4, 2019* * *Deadline for application: May 31st, 2019* *Top final year PhD students active in intelligent systems are invited to apply.* We will select up to 20 candidates on a very competitive basis and invite them to EPFL Switzerland where they will get the opportunity to present their research and get informal feedback from top faculty members. Each accepted student will be given the opportunity to visit EPFL laboratories related to summit theme and have intensive exchange with the lab head and the students. The PhD Summit prize for the best presentation and research content will be awarded at the end of the workshop.*Funds for travel and accommodation will be provided for the selected candidates.* Visit the Engineering PhD Summit website: https://phdsummit.epfl.ch/ More details about the application process: https://phdsummit.epfl.ch/application-process/ Many thanks in advance and best regards, Auke Ijspeert -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique F?d?rale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert at epfl.ch ----------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From bei.xiao at gmail.com Wed Apr 10 17:17:10 2019 From: bei.xiao at gmail.com (bei.xiao at gmail.com) Date: Wed, 10 Apr 2019 17:17:10 -0400 Subject: Connectionists: Computational Vision Summer School 2019 in the Black Forest, Germany - Application deadline April 15th Message-ID: [apologies for cross-posting] We are seeking applications for the 3rd Computational Vision Summer School (CVSS) from 30.6. to 7.7.2019 in Freudenstadt (Black Forest), Germany. The summer school, aimed at PhD students and Postdocs, spans the spectrum of vision research from neuroscience and psychophysics to computer vision to foster discussions at the intersection of biological and artificial vision systems. It seeks to bring together people from diverse disciplines who all share a computational view of vision and who, due to the diversity of disciplines involved, do not regularly meet. CVSS is free of tuition and accomodation is sponsored by the German Research Foundation (DFG: CRC/1233 Robust Vision). Application deadline: April 15, 2019 http://orga.cvss.cc/ Confirmed speakers: Ted Adelson (MIT, USA) Matthias Bethge (University of T?bingen, Germany) Michael Black (MPI-IS T?bingen, Germany) EJ Chichilnisky (Stanford University, USA) Alexei Efros (UC Berkeley, USA) Sanja Fidler (University of Toronto / NVIDIA, Canada) Chelsea Finn (UC Berkeley, USA) Roland Fleming (University Giessen, Germany) Bill Geisler (UT Austin, USA) Otmar Hilliges (ETH Z?rich, Switzerland) Mackenzie Mathis (Harvard University, USA) Bruno Olshausen (UC Berkeley, USA) Ruth Rosenholtz (MIT, USA) Stefan Roth (TU Darmstadt, Germany) Eero Simoncelli (New York University, USA) Antonio Torralba (MIT, USA) Raquel Urtasun (University of Toronto / Uber ATG, Canada) Felix Wichmann (University of T?bingen, Germany) Li Zhaoping (MPI-IS and University of T?bingen, Germany) Program Chairs and Advisory Board: Andreas Geiger, Hendrikje Nienborg, Siyu Tang, Bei Xiao Matthias Bethge, Michael Black, Felix Wichmann -- Bei Xiao, PhD Assistant Professor Computer Science & Center for Behavioral Neuroscience American University, Washington DC Homepage: https://sites.google.com/site/beixiao/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From derek.doran at wright.edu Wed Apr 10 12:04:12 2019 From: derek.doran at wright.edu (Doran, Derek) Date: Wed, 10 Apr 2019 16:04:12 +0000 Subject: Connectionists: CFP: Intl. Workshop on Neural-Symbolic Learning and Reasoning @ IJCAI 19 Message-ID: CALL FOR PAPERS 14th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy?19) In conjunction with IJCAI 2019 https://sites.google.com/view/nesy19/ Submission deadline: Apr 12, 2019 anywhere on earth Notification: May 10, 2019 Camera-ready paper due: May 24, 2019 IJCAI-19 conference: Aug 10-16, 2019 The NeSy workshop series is seen as a major venue for the presentation and discussion of key topics related to neural-symbolic computing. NeSy has provided an atmosphere for the free exchange of ideas and networking within the community of scientists that straddle the line between statistical and symbolic methods in AI. We invite theoretical and applied submissions of all types that span both connectionist and symbolic learning paradigms. We further invite papers detailing experimental and in-the-wild neural-symbolic systems and papers on topics where neural-symbolic learning has a strong use case. Topics of interest include, but are not limited to, the following: * Knowledge representation and reasoning in (deep) neural networks * Symbolic knowledge extraction from neural and statistical learning models * Explainable AI models, systems, and techniques that integrate connectionist and symbolic paradigms * Neural-symbolic cognitive models * Biologically-inspired neural-symbolic integration * Continual learning, integration of logic and probabilities with neural networks * Neural-symbolic methods for structured learning tasks, including transfer, meta, and relational learning * Novel connectionist systems able to perform traditionally symbolic AI tasks (e.g., logical deduction) * Novel symbolic systems able to perform traditionally connectionist tasks (e.g., unstructured data analysis) * Applications in simulation, fiance, robotics, the semantic web, software engineering, systems engineering, bioinformatics, and visual intelligence. NeSy also invites short, clear, and well-written position papers for presentation and discussion during the workshop. **Submission** Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere using the IJCAI paper style. Submitted papers must be written in English and should not exceed 6 pages in the case of research and experience papers, or 3 pages in the case of position papers (including figures, bibliography and appendices). All submitted papers will be judged based on their quality, relevance, originality, significance, and soundness. Submissions need not be double-blind. Submit your paper via: https://easychair.org/conferences/?conf=nesy19 Selected papers will be presented during the workshop. The workshop will include extra time for audience discussion of the presentation allowing the group to have a better understanding of the issues, challenges, and ideas being presented. Accepted papers will be published in official workshop proceedings, which will be distributed during the workshop. Authors of the best papers will be invited to submit a revised and extended version of their papers to the Journal of Applied Logics, College Publications. General questions concerning the workshop should be addressed to a.garcez at city.ac.uk For more information about neural-symbolic AI and the workshop series, please visit http://www.neural-symbolic.org/ Please join the NeSy mailing list NESY at JISCMAIL.AC.UK which is used for general announcements about the workshop. -------------- next part -------------- An HTML attachment was scrubbed... URL: From max.garagnani at gmail.com Wed Apr 10 13:02:43 2019 From: max.garagnani at gmail.com (Max Garagnani) Date: Wed, 10 Apr 2019 18:02:43 +0100 Subject: Connectionists: MSc in Computational Cognitive Neuroscience -- now accepting 2019-20 applications In-Reply-To: References: Message-ID: Apologies for cross-posting ? please forward to any interested party. / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / Applications for the 2019-20 MSc programme in Computational Cognitive Neuroscience at Goldsmiths, University of London are now OPEN. / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / This cutting-edge Masters course is a combined effort of the Computing and Psychology Departments which builds on the multi-disciplinary research profiles of our staff. It equips students with a rigorous grounding in theoretical and experimental methods of computational cognitive neuroscience; it also provides them with the opportunity to apply the knowledge they acquired in a practical research project, which may be carried out in collaboration with one of the Masters programme?s industry partners. * COURSE OUTLINE * ????????? This is a one-year MSc degree programme, consisting of taught courses (6 months) plus research project and dissertation (6 months). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering), but individuals with different backgrounds will also be considered. The core contents of this course include (i) fundamentals of cognitive neuroscience (cortical and subcortical mechanisms and structures underlying cognition and behaviour, plus experimental and neuroimaging techniques), and (ii) concepts and methods of computational modelling of biological neurons, simple neuronal circuits, and higher brain functions. Students are trained with a rich variety of computational and advanced methodological skills, taught in the four core modules of the course (?Modelling Cognitive Functions?, ?Cognitive Neuroscience?, ?Cortical Modelling?, and ?Advanced Quantitative Methods?). Unlike other standard computational neuroscience programmes (focusing predominantly on modelling ?low-level? aspects of cortical function), one of the distinctive features of this course is that it covers the study of biologically realistic models of high-level cognitive processes (including, e.g., language, attention, and decision making). The final research project and dissertation can be carried out in collaboration with an external partner, either from academia or industry. * HOW TO APPLY * ????????? Applications for the 2019-20 and 2020-21 Academic Years are now open. To fill in an application, click on this link and follow the instructions: https://bit.ly/2Fi86SB NOTE: places are limited. We recommend submitting an application as soon as possible to ensure a place on the programme. For any further information about the course, please visit: https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/ Should you have any questions, please do not hesitate to contact us. We look forward to receiving your application soon! With very best wishes, Dr. Max Garagnani (M.Garagnani at gold.ac.uk) Dr. Maria Herrojo-Ruiz (M.Herrojo-Ruiz at gold.ac.uk) ? Joint Programme Leaders, MSc in Computational Cognitive Neuroscience Department of Computing, Department of Psychology Goldsmiths, University of London Lewisham Way, New Cross London SE14 6NW UK Tel. +44 (0)20 7919 7850 Fax: +44 (0)20 7919 7853 https://www.gold.ac.uk/computing/people/garagnani-max/ https://www.gold.ac.uk/psychology/staff/herrojo-ruiz-maria/ Follow us on Twitter: https://twitter.com/coconeuro_gold / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / -------------- next part -------------- An HTML attachment was scrubbed... URL: From dboscaini at fbk.eu Thu Apr 11 05:14:26 2019 From: dboscaini at fbk.eu (Davide Boscaini) Date: Thu, 11 Apr 2019 11:14:26 +0200 Subject: Connectionists: ICIAP 2019 - Paper submission deadline extended to 30th April 2019 Message-ID: Dear colleagues, we are pleased to announce you that the paper submission deadline for ICIAP 2019 has been extended to April 30, 2019. Call for Papers ICIAP 2019 is the 20th edition of a series of conferences organized biennially by the Italian Member Society (CVPL, ex GIRPR) of the International Association for Pattern Recognition (IAPR). The event will be co-located with the 13th edition of the ACM International Conference on Distributed Smart Cameras (ICDSC) (http://icdsc.org). The focus of the conference is on both classic and recent trends in computer vision, pattern recognition and image processing, and covers both theoretical and applicative aspects, with particular emphasis on the following topics: * Video Analysis & Understanding * Pattern Recognition and Machine Learning * Deep Learning * Multi-view Geometry and 3D Computer Vision * Image Analysis, Detection and Recognition * Multimedia * Biomedical and Assistive Technology * Digital Forensics * Image Processing for Cultural Heritage The conference is structured in oral and poster sessions and offers invited lectures from distinguished speakers. Satellite workshops and tutorials are also organized. Accepted papers will be included in the ICIAP 2019 Conference Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS). Every accepted paper requires at least one author registered with regular registration fee and presenting the work at the conference. The conference will be held in Trento, Italy on 9-13 September, 2019. Dates: * Main Conference: 11-13th September 2019 * Workshop and Tutorials: 9-10th September 2019 * Full paper submission: 12th April 2019 (extended to 30th April 2019) * Notification of acceptance: 7th June 2019 * Camera ready submission: 21st June 2019 Submission: The maximum number of pages is 10 + 1 page containing only references. Papers will be selected by a review process. Authors of ICIAP 2019 papers can find complete instructions of how to format their papers in the conference webpage ( https://event.unitn.it/iciap2019). Springer?s proceedings LaTeX templates are available in Overleaf. Springer encourages authors to include their ORCIDs in their papers. Additional information can be found in "Springer LNCS ? Information for Authors of Computer Science Publications". Papers can be submitted using the CMT available at https://cmt3.research.microsoft.com. When submitting the camera ready, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign the Consent-to-Publish form, through which the copyright for their paper is transferred to Springer. -- -- Le informazioni contenute nella presente comunicazione sono di natura? privata e come tali sono da considerarsi riservate ed indirizzate? esclusivamente ai destinatari indicati e per le finalit? strettamente? legate al relativo contenuto. Se avete ricevuto questo messaggio per? errore, vi preghiamo di eliminarlo e di inviare una comunicazione? all?indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Verhoef at donders.ru.nl Thu Apr 11 05:49:28 2019 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Thu, 11 Apr 2019 09:49:28 +0000 Subject: Connectionists: Postdoc position in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Message-ID: Postdoc position in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Donders Institute, Centre for Cognitive Neuroimaging Maximum salary: ? 4,978 gross/month Vacancy number: 30.05.19 Application deadline: 5 May 2019 [Logo NWO] [Logo Language in Interaction] Responsibilities We are currently recruiting for a 3-year postdoctoral researcher position regarding "Understanding the nature of the mental lexicon" in the Language in Interaction consortium. The goal of this project is to use advanced computational models applied to neural data to understand the structure and function of the language system and obtain a better understanding of the mental lexicon. You will be member of Big Question 1 (BQ1), a larger endeavour to develop computational models of the mental lexicon from linguistic, psychological and neuroscience perspectives. Your responsibility is to develop computational models and apply them to neural data to obtain new neurolinguistic insights. To this end, you will make use of existing publicly available datasets. You will also facilitate collaborative projects in BQ1 that combine the scientific expertise across different work packages. You are expected to take a leading role in translating modeling work to scientific output that provides new insights into the neural correlates of language, as disseminated via high-impact publications. The position also includes a small number of organizational and administrative tasks within BQ1 and the larger consortium. This position provides an opportunity to conduct world-class research as a key member of an interdisciplinary team operating at the interface between artificial intelligence and cognitive neuroscience. Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, which is sponsored by a large grant from the Netherlands Organization for Scientific research (NWO), brings together many of the excellent research groups in the Netherlands in a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modeling, and patient-related research. This consortium realises both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQs) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon - How to bridge neurobiology and psycholinguistic theory by computational modeling? BQ2: What are the characteristics and consequences of internal brain organization for language? BQ3: Creating a shared cognitive space - How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning - Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? You will be appointed at the Donders Institute, Centre for Cognition, Radboud University, Nijmegen, the Netherlands. The project is embedded in the Donders Institute?s research theme "Brain Networks and Neuronal Communication" and will be supervised by Prof. Marcel van Gerven. The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you We are looking for a highly motivated candidate with a PhD degree in Cognitive Neuroscience, Computational Linguistics, Artificial Intelligence or a related field of research. We expect you to have expertise in the domain of language research, excellent computational skills and Python programming experience, as well as experience with neural data analysis. You will further develop the modeling approaches that are being created within the team and apply these approaches to rich neural datasets to generate new insights about the nature of the mental lexicon. You should have an outstanding scientific track record, excellent organisational, and communication skills, a strong motivation, and high proficiency in written and spoken English. Applications from excellent candidates with a less than ideal profile will also be considered. What we have to offer * employment: 1.0 FTE; * a maximum gross monthly salary of ? 4,978 based on a 38-hour working week (salary scale 11); * in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; * term of contract: you will be appointed for an initial period of 12 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 24 months; * UFO job profile: Researcher, Level 3; * the Collective Labour Agreement (CAO) of Dutch Universities is applicable to this position; * Dutch universities and the institute involved have a number of regulations in place that enable employees to create a good work-life balance; * you will be able to make use of our Dual Career Service where our Dual Career Officer will assist with family related support, such as child care, and help your partner prepare for the local labour market and with finding an occupation. Are you interested in our excellent employment conditions? Other Information The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Would you like to know more? Further information on: Language in Interaction Further information on: Donders Institute For more information about this vacancy, please contact: Prof. dr. Marcel van Gerven, Principal Investigator Artificial Cognitive Systems, and Telephone: +31 24 365 59 31 E-mail: m.vangerven at donders.ru.nl Prof. dr. Peter Hagoort, Programme Director Language in Interaction consortium Telephone: +31 24 361 06 48, +31 24 352 13 01 E-mail: p.hagoort at donders.ru.nl Are you interested? You should upload your application (attn. of Prof. dr. M. van Gerven) exclusively using the button 'Apply' below. Your application should include (and be limited to) the following attachment(s): * a cover letter * CV, including a list of publications and the names of at least two persons who can provide references Please apply before 5 May 2019, 23:59 CET. [Apply] -------------- next part -------------- An HTML attachment was scrubbed... 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Name: image003.jpg Type: image/jpeg Size: 3660 bytes Desc: image003.jpg URL: From k.schwarzwaelder at fz-juelich.de Thu Apr 11 06:18:04 2019 From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder) Date: Thu, 11 Apr 2019 12:18:04 +0200 Subject: Connectionists: Reminder: Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2019 In-Reply-To: References: Message-ID: <0a16d9f3-62f7-f4b2-5583-9a377ebc1007@fz-juelich.de> Dear colleagues, Please let me remind you that for the ninth time, the Bernstein Network is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2018 or 2019. The award is endowed with a travel grant of 2.000 ? to cover a trip to Germany, including participation in the Bernstein Conference 2019 in Berlin (www.bernstein-conference.de), and an individually planned visit to up to two German research institutions in Computational Neuroscience. *Deadline for application is April 24, 2019, 2:00 p.m. CET *(Application deadline will not be extended!) Detailed information about the application procedure can be found under: https://www.bernstein-network.de/en/the-network/awards/b4b2019 For inquiries please contact bernstein.network at fz-juelich.de Best regards, Kerstin Schwarzw?lder -- Dr. Kerstin Schwarzw?lderScientific Coordination / Management Officer *Please note:**Our email addresses have changed. Please use **k.schwarzwaelder at fz-juelich.de *** Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder at fz-juelich.de **web: www.nncn.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Thu Apr 11 07:55:23 2019 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Thu, 11 Apr 2019 11:55:23 +0000 Subject: Connectionists: NEST Conference 2019 --- Abstract submission extended to 23 April Message-ID: <8D5CDF5D-46FE-4F71-B73A-F8FCC755C041@nmbu.no> Dear colleagues! We are looking forward to welcoming you to NMBU's beautiful campus south of Oslo for the NEST Conference 2019 on 24/25 June 2019 (Monday/Tuesday) To give you a chance to include your latest results in your NEST Conference 2019 Abstract, we have EXTENDED the ABSTRACT SUBMISSION DEADLINE to TUESDAY 23 April Please submit your one-page abstract by email to conference at nest-initiative.org using the template available from http://www.nest-initiative.org/conference As we experienced problems with our email system in recent weeks. If you have submitted an abstract, but not received a confirmation of receipt, please submit your abstract once more by mail to conference at nest-initiative.org. We apologise for the inconvenience. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We would like you to share your experiences made and results obtained with NEST during the conference. You can do so either by a short oral presentation (10?15 minutes), on a poster, through a demo, or by organizing group work. Important dates ? 23 April 2019 ? Deadline for abstract submissions ? 01 May 2019 ? Notification of acceptance ? 15 May 2019 ? Deadline for registration For details, abstract submission and registration, please see http://www.nest-initiative.org/conference You are also welcome to contact us at conference at nest-initiative.org. Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser From michael.zock at lis-lab.fr Thu Apr 11 11:06:37 2019 From: michael.zock at lis-lab.fr (Michael Zock) Date: Thu, 11 Apr 2019 17:06:37 +0200 Subject: Connectionists: Reminder and Final Call for Papers of 'AIxRoads' ('AI at the Crossroads of NLP and Neuroscience'), an IJCAI workshop Message-ID: <8a50101e-8d9d-c40a-4519-535daa928fc7@lis-lab.fr> (Apologies for cross-posting) Reminder**and*Final CALL FOR PAPERS* A.I. at the Crossroads of NLP and Neuroscience (AIxRoads) *Submission deadline*: 15th April 2019 *Date*: 10th, 11th or12th of August, 2019 https://sites.google.com/view/ijcai-ws928-aixroads/home 1Workshop Description This one-day workshop will be held in Macao in August (10/11/12, 2019), in conjunction with the 28th International Joint Conference of Artificial Intelligence (https://ijcai19.org). The goal of this workshop is to stimulate cross-fertilization between the different communities of the AI universe (e.g., Mathematicians, Linguists, Cognitive Scientists, Neuroscientists) in order to identify the knowledge needed to bridge the gap between Natural and Artificial Intelligence. More precisely, we would like to discuss whether and how the usage of knowledge concerning the human brain may enable engineers to produce better software. For more details see the conference website: https://sites.google.com/view/ijcai-ws928-aixroads/home Here are some of the questions for which we would like to find answers: * Can we get machines to learn as ordinary people do? Children induce rules on the basis of very few examples, containing even noisy data (few-shot learning ; learning of abstractions). Can we replicate this by a machine? * How can the learned knowledge be reused for new tasks? * How to improve the interaction between humans and machines? * Can knowledge of the brain mechanisms involving intelligence (sound, vision and language) help us to develop better architectures? * In what ways can the techniques developed in AI inspire cognitive scientists to get new ideas/theories, or, to help them to refine existing ones? * Is there a way for AI to exploit embodied representations ? * How can AI help us to solve problems in other disciplines, for example, NLP? * Can we make Natural and Artificial Intelligence cooperate in problem-solving, or, should the two be applied separately ? * If there is an interaction between the two, what should this look like? What are the interfaces and workflows? * What are the benefits for AI to mimic humans or the human mind while processing language? * Where in the development cycle and how shall AI engineers consider specific human aspects, such as the human brain/mind? * Specificities of humans and machines: how relevant is deep learning in modeling human thought? * Do we still need theories in the age of deep learning? Are there ways to interpret their results? * Is it possible to build a glass box and open the neural network black box? * What can NLP practitioners learn from network science (complex graphs)? * Can machines liberate us from the boring and mechanical aspects of problem-solving (logical proofs), to allow us to focus more on the creative aspects of the task? * How to build AI augmenting human intelligence, or, how to use human intelligence to augment AI? * Can we impose order and logic on an unordered set of ideas, by detecting the nature of the links between them automatically, to help authors in producing coherent texts? 2Workshop Submissions We accept regular workshop papers, which will be included in the proceedings pending acceptance. All submissions should be in PDF format, and be submitted via the following website: https://easychair.org/conferences/?conf=aixroads2019. If you don?t have already an account with them, you will have to create one (https://easychair.org/account/signup.cgi). To allow for double-blind reviewing, the manuscripts should be devoid of information allowing author identification. Paper formats should comply with the IJCAI 2019 style sheets, available at: https://www.ijcai.org/authors_kit. * Regular Submissions Papers can be either full (8 pages of content + references) or short papers (4 pages + references) reporting original and unpublished research relevant for this workshop. * Accepted papers are expected to be presented by one of the authors at the workshop (oral presentation or poster). It is only under this condition that they will be included in the workshop proceedings. If the same paper has been submitted to multiple conferences / workshops, the authors are asked to point this out at submission time. For papers to be presented at this workshop, they must be withdrawn from other venues. 3Important Dates * Submission deadline: Apr 15, 2019(11.59 p.m., UTC-12h) * Notification of acceptance: May 10, 2019 * Camera-ready version due: May 25, 2019 * Workshop date: **Aug 10/11/12, 2019 (one out of these three) 4Workshop Organizers * Michael Zock (CNRS, LIS, AMU, Marseille, France), psycholinguist * Yoed N. Kenett (University of Pennsylvania, Philadelphia, PA, USA), neuroscientist * Enrico Santus (MIT, CSAIL, Boson, USA), computational linguist * Mingyu Wan (The Hong Kong Polytechnic University), computational linguist * Emmanuele Chersoni (The Hong Kong Polytechnic University), computational linguist 5Program Committee See https://sites.google.com/view/ijcai-ws928-aixroads/home or https://easychair.org/cfp/WS-928AIxRoads 6Contact Information e-mail: michael.zock at lis-lab.fr -- ---------------------------------------- Michael ZOCK Directeur de Recherche ?m?rite LIS UMR CNRS 7020 (Groupe TALEP) Aix Marseilly Universit? 163 Avenue de Luminy - case 901 F-13288 Marseille/France Mail: michael.zock at lis-lab.fr Tel.:? +33 (0)4.86.09.06.85 Secr.: +33 (0)4.86.09.04.60 ??? ?? +33 (0)4.86.09.06.75 http://pageperso.lif.univ-mrs.fr/~michael.zock/ ------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From caip2019 at unisa.it Thu Apr 11 14:03:18 2019 From: caip2019 at unisa.it (Mario Vento (CAIP2019)) Date: Thu, 11 Apr 2019 20:03:18 +0200 Subject: Connectionists: CAIP2019 final submission deadline approaching (April 15th) Message-ID: <28309aac-cbf0-d0d2-f63f-049e4c665b11@unisa.it> *18th International Conference on Computer Analysis of Images and Patterns* ***2-5 September 2019, Salerno, Italy * *Final**DEADLINE approaching 15th APRIL 2019 (11:59pm Amsterdam/Rome time)* CAIP 2019 is the 18th edition of the series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields. CAIP 2019 is organized by the University of Salerno and will be held at the Grand Hotel Salerno, Italy. CAIP 2019 welcomes submissions about, and not limited to, the following topics: * Deep learning * 3D Vision * Biomedical image and pattern analysis * Biometrics * Brain-inspired methods * Document analysis * Face and gestures * Feature extraction * Graph-based methods * High-dimensional topology methods * Human pose estimation * Image/video indexing & retrieval * Image restoration * Keypoint detection * Machine learning for image and pattern analysis * Mobile multimedia * Model-based vision * Motion and tracking * Object recognition * Segmentation * Shape representation and analysis * Static and dynamic scene analysis * Statistical models * Surveillance * Vision for robotics ========================================================= *Important Dates* Paper submission **April 15, 2019* *Paper acceptance notification *May**24, 2019* ========================================================= CAIP2019 proceedings will be published in *Springer Lecture Notes in Computer Science (LNCS)* series. Please find the Call for Papers at http://caip2019.unisa.it/callcaip.pdf Visit the CAIP 2019 website for more information. with kind regards, Mario Vento Gennaro Percannella/ CAIP2019 co-chairs/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.rankin at gmail.com Fri Apr 12 06:47:33 2019 From: james.rankin at gmail.com (James Rankin) Date: Fri, 12 Apr 2019 11:47:33 +0100 Subject: Connectionists: PhD in Computational and Mathematical Neuroscience (EPSRC funded, 3.5 yrs, Sept 2019 start) Message-ID: *PhD in Computational and Mathematical Biology (EPSRC funded, 3.5 yrs, Sept 2019 start) [re-advertised]* General information & apply (funding is primarily targeted at UK students): http://www.exeter.ac.uk/studying/funding/award/index.php?id=3386 Project description: http://www.exeter.ac.uk/codebox/phdprojects/Tabak-EPSRC-DTP-Project.pdf *Closing date 13 May 2019. Interviews will be held at the University of Exeter Streatham Campus during the week of 10 June 2019.* Neurons and endocrine cells generate pulses of electrical activity. The patterns of electrical activity vary from cell-to-cell, and characteristics of these patterns (pulse duration, amplitude, timing) are critical to the function performed by the cell. For instance, electric pulse duration and frequency determines the quantity of hormone released by endocrine cells. Electrical currents are produced by ion channels, which act as non-linear electric conductances. The interactions between these non-linear conductances generate the complex patterns of electrical activity. Thus, the exact activity pattern of a given cell depends in a complex way on the exact distribution, or combination of weightings, of the different ion channels. To understand how different combinations of ion channel weightings result in a given pattern of electrical activity, we use mathematical models based on nonlinear differential equations that describe how the conductances vary with the cell electric potential and how they in turn change this potential. The problem with these models is that a lot of parameters are unknown, including the weightings of each channel. Electrophysiologists can record the electrical activity patterns from individual cells, but they cannot measure all the channel weightings from one cell. The objective of this funded PhD project is to extract information about the weightings from the measured electrical activity. The successful candidate will generate a database of channel weighting combinations and compute the resulting electrical activity pattern associated with each combination. They will then apply machine learning and/or topological data analysis to this database. This will allow them to deduce the relationships between weightings across models that generate electrical activity patterns selected from a subset of the database. By identifying the relationships between channel weightings across a highly heterogeneous population we can pinpoint the rules that regulate electrical activity across heterogeneous populations of cells. These methods will then be applied to existing datasets of electrophysiological recordings from electrically active cells. This project provides a unique opportunity to develop experience in machine learning and to receive training in mathematical modelling of neurons. This work will be done in close collaboration with experimentalists using cutting-edge methods that incorporate modelling and electrical recordings together. The student will therefore be exposed to multidisciplinary teamwork. If they so desire, they will also have the opportunity to learn electrophysiology and generate their own dataset of experimental electrical recordings. Candidates with quantitative backgrounds (mathematics, physics, engineering, computer science) are encouraged to apply to this 3.5 year PhD Scholarship. Programming experience, knowledge of dynamical systems theory and experience in biological modelling are a plus. The successful candidate will also be expected to travel to conferences to present their work. *For further information, please contact Dr Joel Tabak J.Tabak at exeter.ac.uk and Dr James Rankin j.a.rankin at exeter.ac.uk * http://emps.exeter.ac.uk/mathematics/staff/jar226 -------------- next part -------------- An HTML attachment was scrubbed... URL: From wittawatj at gmail.com Fri Apr 12 11:44:45 2019 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Fri, 12 Apr 2019 17:44:45 +0200 Subject: Connectionists: Call for participation: Southeast Asia Machine Learning School 2019 In-Reply-To: References: Message-ID: Dear all, This is a reminder that the application for attending the first Southeast Asia Machine Learning School (SEA MLS , 8th-12th July 2019 in Indonesia) will close on *20th April 2019*. Everyone is welcome to apply. We will have a number of financial assistance available for student participants traveling from within the Southeast Asian region. Please apply here https://www.sea-mls.com/participate . Best, On behalf of the SEA MLS Organizing Team On Mon, 1 Apr 2019 at 12:08, Wittawat Jitkrittum wrote: > Dear all, > > The 1st edition of the Southeast Asia Machine Learning School (SEA MLS > ) will be held at Universitas Indonesia in > Depok (Greater Jakarta), Indonesia, between July 8th - July 12th, 2019. The > SEA MLS provides a unique opportunity for the underrepresented Southeast > Asian machine learning community to learn from the top experts in the > field, engage with like-minded students, academics, researchers, industry > practitioners, and thought leaders in the field, and understand the current > and future challenges in machine learning research, theory, and > applications. > > SCOPE > As the Southeast Asian community has been largely underrepresented in the > machine learning field, the SEA MLS aims to kickstart an effort to inspire, > encourage, and educate more machine learning engineers, researchers, and > data scientists within the Southeast Asian region and beyond in the coming > years. In particular, we work towards a critical vision of more Southeast > Asians as pioneers, contributors, and shapers within the machine learning > community. > > INVITED SPEAKERS > 1. Chris Dyer > (DeepMind > and PECASE awardee from the Obama administration) > 2. Kyunghyun Cho > (New > York University and Facebook AI Research) > 3. Manaal Faruqui > (Google) > 4. Douwe Kiela > (Facebook AI Research) > 5. Hung Bui (VinAI Research) > 6. Yun-Nung Vivian Chen > (National Taiwan University) > 7. Wee Sun Lee > (National University of Singapore) > 8. Wray Buntine > (Monash University) > 9. Truyen Tran (Deakin University) > 10. Huyen Chip (NVIDIA) > We are currently inviting more speakers, which will be updated on the > website . > > APPLICATION > We are currently inviting applications for the SEA MLS. The application > process can be accessed here ; > please consult our FAQ for more details. > The application process will close on *April 20th 2019*. > > Everyone is welcome to apply regardless of nationality or place of > residence. No deep knowledge or prior experience in machine learning is > required, although participants are expected to have some basic background > on probabilities and programming. > > TRAVEL GRANTS > We will have a limited number of financial assistance available for > student participants traveling from within the Southeast Asian region. > Depending on the financial needs, the travel grant can include travel cost > reimbursements (including airplane tickets, up to a certain amount) and > accommodation near the event venue, although we may not be able to cover > the costs in full. > > STRUCTURE > The SEA MLS will cover a one-week program that includes technical lecture > sessions on basic and intermediate topics in machine learning and its > applications, along with panel sessions. In addition, the event features a > hands-on practical session to learn how to implement deep learning models > in a modern software stack, social sessions, and poster presentation > sessions. > > The tentative schedule is available here > . > > REGISTRATION FEES > Student participants - free-of-charge > General participants - US$ 200 > The registration fee covers access to al lectures, panels, practical > sessions, and social events, along with lunch and two coffee breaks per day. > > VENUE > The event will be held at Fasilkom > , Universitas Indonesia > in Depok, West Java, which is part of the Greater Jakarta Metropolitan > Area, Indonesia. The venue is about 1.5 hour drive from Jakarta's main > airport, Soekarno-Hatta International Airport (CGK), and about an hour > drive from Jakarta's Central Business District. > > ORGANIZERS AND CONTACT > 1. Dani Yogatama (DeepMind) > 2. Adhi Kuncoro (University of Oxford & DeepMind) > 3. Wittawat Jitkrittum (Max Planck Institute for Intelligent Systems) > 4. Thang Luong (Google Brain) > Please direct any queries to *seaml-team at googlegroups.com > * > > Thank you for your kind attention and please do not hesitate to contact us > for any questions. > > Kind regards, > > The SEA MLS Organizing Team. > -------------- next part -------------- An HTML attachment was scrubbed... URL: From auke.ijspeert at epfl.ch Sat Apr 13 06:35:38 2019 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Sat, 13 Apr 2019 12:35:38 +0200 Subject: Connectionists: EPFL: Postdoc position in numerical models of human locomotion Message-ID: Postdoc position in numerical models of human locomotion https://biorob.epfl.ch/openings The Biorobotics laboratory (Biorob, http://biorob.epfl.ch/) at EPFL (Lausanne, Switzerland) has one open postdoc position in numerical simulations of human locomotion. The goal of the project is to develop neuromechanical models of human locomotion, together with St?phane Armand (gait analysis, University of Geneva) and Alexandros Kalousis (machine learning, University of applied sciences, Western Switzerland), in the framework of a collaborative Sinergia project funded by the Swiss National Science Foundation. The neuromechanical models will include numerical models of spinal cord circuits coupled to biomechanical simulations of the body. The purpose of the project is (1) to model pathological gaits resulting from motor impairments such as cerebral palsy, and (2) to compare and combine neuromechanical simulation and machine learning approaches for gait analysis. See https://biorob.epfl.ch/research/research-dynamical/simgait/ for some first results. The position is fully funded for 2 years. EPFL is one of the leading Institutes of Technology in Europe and offers extremely competitive salaries and research infrastructure. *Requirements:* Candidates should have a Ph.D. and a strong publication record in biomechanics and numerical modeling of locomotion. An ideal candidate would have prior experience in: * Biomechanical models of human locomotion * Numerical models of human locomotion * Numerical models of neuromechanical systems * Programming in Python and C * Good communication and management skills are a plus. Fluency in oral and written English is required. *How to apply for the position:* Postdoctoral applications should consist of a motivation letter (explaining why you are interested in the project, and why you feel qualified for it), a full CV, two or three relevant publications, and the email addresses of two referees. PDF files are preferred. The files should be sent to auke.ijspeert at epfl.ch *Deadline and starting date:* The*ideal starting date is this summer 2019* (but flexible). Applications are requested for*May 15 2019*, and will then be processed as they arrive until the position is closed. *Contact:* Information concerning the type of research carried out by the lab can be found at https://biorob.epfl.ch/ . You should send your application and any inquiry by email to auke.ijspeert at epfl.ch -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique F?d?rale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert at epfl.ch ----------------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From morgado.uma at gmail.com Sat Apr 13 06:42:47 2019 From: morgado.uma at gmail.com (Morgado Dias) Date: Sat, 13 Apr 2019 12:42:47 +0200 Subject: Connectionists: Closes in 3 Days - Paradise on Earth-Azores-Last CFP-IEEE-ICEA19 and ICMA19 -Azores-Portugal-8-11 July2019 Message-ID: <3F52B0C8-7D87-4AAC-B0FA-B32794D0710F@gmail.com> Dear Colleagues, Can you please help spreading the information about this conference which has in relevant areas for your unit/list. Thank you, ONLY THREE DAYS LEFT! Dear Colleagues, Last chance to submit and visit a paradise on earth: the Azores Islands. The deadline is on the 15st of April. Please note also that we have now set Special Issues in: Entropy (IF: 2.305, Q2) Energy, Ecology and Environment Applied Mathematics & Information Sciences Hope to receive your submission soon and to host you in the beautiful island of Sao Miguel, Azores, Best regards, Morgado Dias on behalf of the Chairs ---------------------------- Dear Colleagues, It is our pleasure to share with you this invitation: It is our great pleasure to invite you to participate in the: International Conference on Engineering Applications - ICEA19 and International Conference on Mathematical Applications ? ICMA19 to be held in Sao Miguel, Azores, Portugal, July 8th to 11th, 2019, organised by the Institute of Knowledge and Development, the University of Azores, the University of Madeira and the Madeira Interactive Technologies Institute jointly. Visit homepage Deadlines Full Paper Submission: April 15, 2019 Notifications: May 12, 2019 Final Paper Submission (Camera Ready): May 22, 2019 Early registration: May 22, 2019 Registration limit (for authors): June 15, 2019 Conference dates: July 8-11, 2019 2019 Proceedings will be submitted for inclusion in IEEE Explorer (ICEA) or Scopus (ICMA). Submit ? This conference is co-located with other conferences (check iknowd.org ) and participants can follow all the conferences. -------------- next part -------------- An HTML attachment was scrubbed... URL: From schurgerlab at gmail.com Sat Apr 13 16:14:23 2019 From: schurgerlab at gmail.com (Schurger Lab) Date: Sat, 13 Apr 2019 22:14:23 +0200 Subject: Connectionists: Post-doctoral positions: Neuroscience and Philosophy of Free Will Message-ID: The post-doctoral positions will be part of a large international project on the neuroscience and philosophy of free will, where some 20 neuroscientists and philosophers will collaborate to explore the neural basis of volition, using experimental, theoretical and computational approaches. Please see here for details: https://braininstitute.us/static-media/uploads/freewill_postdoc_2019.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From tobias-elze at tobias-elze.de Sat Apr 13 21:45:56 2019 From: tobias-elze at tobias-elze.de (Tobias Elze) Date: Sat, 13 Apr 2019 21:45:56 -0400 Subject: Connectionists: Postdoctoral positions at Schepens Eye Research Institute, Harvard Medical School Message-ID: Postdoctoral positions: Applying machine learning to study eye diseases Applications are invited for several postdoctoral positions at Dr. Elze's lab at Schepens Eye Research Institute, Mass Eye and Ear, an affiliate of Harvard Medical School. The positions start between July and September 2019, initially for one year, and can be extended depending on performance and availability of funding. In the course of this interdisciplinary project, you will collaborate with a team of scientists with backgrounds in visual psychophysics, engineering, biostatistics, computer science, and ophthalmology. Harvard Medical School, together with its affiliated hospitals and research institutes, provides exceptional opportunities and resources for young scientists. The greater Boston/Cambridge metropolitan area, where we are located, is a rich source of skills and educational opportunities in all areas of interest for this project: In addition to Harvard, it includes Tufts, Boston, and Northeastern Universities, the Massachusetts Institute of Technology, and the New England College of Optometry. What is the aim of the project? As a postdoctoral fellow, you will contribute with your specific area of expertise to the development of novel methods to diagnose eye diseases, to monitor disease progression, and to understand the relationship between retinal structure and visual function. This may include, but is not restricted to, investigating the relationship between retinal physiology and visual deficits, large scale data analysis by machine learning techniques, developing new psychophysical tests for specific disease related impairments, and epidemiological relationships between demographic and physiological parameters and ophthalmic disease development. Which background is necessary? A Ph.D. is required. The successful candidate will have background in either the field of mathematics/computer science, particularly statistics, machine learning, or image processing, or the field of vision science/ophthalmology. Candidates with backgrounds in life sciences are especially encouraged to apply if they have programming skills and experience with statistical analyses of large data sets. Candidates from the fields of computer science or mathematics are especially encouraged to apply if they have experience with medical research, vision science, or related fields. Candidates with a strong publication record are preferred. How to apply? To participate in the initial application stage, interested individuals should send an email to Tobias Elze (tobias_elze at meei.harvard.edu) with subject "Postdoctoral Application", containing a current CV and a brief statement of research interests in pdf format, together with the names of two referees. Applications should be received before May 31st, 2019, but later applications will be considered until all positions are filled. After the application deadline, the most promising candidates will be personally invited to a second and more detailed application stage. Tobias Elze, PhD, Schepens Eye Research Institute, Department of Ophthalmology, Harvard Medical School https://www.masseyeandear.org/research/investigators/e/elze-tobias From george at cs.ucy.ac.cy Sun Apr 14 09:02:51 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Sun, 14 Apr 2019 16:02:51 +0300 Subject: Connectionists: 23rd Pan-Hellenic Conference on Informatics (PCI 2019): First Call for Papers Message-ID: <52BFE0CA-1718-419F-915B-083C851BD2EA@cs.ucy.ac.cy> *** FIRST CALL FOR PAPERS *** 23rd Pan-Hellenic Conference on Informatics (PCI 2019) University of Nicosia, Nicosia, Cyprus, November 28-30, 2019 http://unic.ac.cy/pci2019 *** Submission Deadline: September 10, 2019 *** *** Proceedings to be published by ACM ICPS (pending approval) *** The University of Nicosia, the University of Cyprus, the Open University Cyprus and the Greek Computer Society organize the 23rd Pan-Hellenic Conference on Informatics (PCI 2019) in Nicosia, Cyprus on November 28-30, 2019. PCI 2019 aims to provide an effective channel of communication among researchers, practitioners, decision-makers and entities concerned with the latest research, scientific development and practice on ICT to discuss current, state-of-the-art topics that are of relevance and significance for national competitiveness as well as for sustainable, robust and equitable regional development. Submissions to PCI 2019 might cover, but are not limited, to the following topics: ? Algorithms & Data Structures ? Artificial Intelligence ? Bioinformatics ? Bio & Nature Inspired Computing ? Blockchain Technologies ? Cloud Computing ? Communication & Information Systems Security and Privacy ? Computational Science ? Computer & Communication Networks ? CRM & ERP Systems ? Databases ? Data Mining ? Digital Libraries ? Digital Systems ? Distributed Computing ? eCommerce, eBusiness, eHealth ? Telecommunication Systems ? Wireless & Mobile Computing ? Learning Technologies ? Graphics, Visualization, Multimedia & Virtual Reality ? Grid, Cluster & P2P Computing ? Hardware & Architecture ? Embedded Systems ? Human-Computer Interaction ? Image and Video Processing ? Information Retrieval ? Information Society: Legal and Regulatory Issues ? Information Systems ? Information Theory ? Knowledge Based Systems ? Numerical & Scientific Computation ? Open Source Software ? Operating Systems ? Parallel & Distributed Systems ? Programming Languages ? Signal Processing ? Software Engineering PCI 2019 encourages the submission of high quality papers with original content in the following tracks: ? Research Paper: full paper (8 pages) describing original and unpublished results of conceptual, empirical, experimental, or theoretical work in all areas of Computer Science. ? Research Project Results: extended abstract (2 pages) presenting the results of funded completed or ongoing research projects at national or European level. ? Industry: extended abstract (2 pages) presenting novel industrial solutions, success stories, and challenges that are encountered in an industry setting when adopting IT technologies. Templates for submissions can be found at the ACM SIG proceedings website: https://www.acm.org/publications/proceedings-template Papers should be submitted via EasyChair (link to be available on the conference web site). The submitted research papers and extended abstracts will be peer-reviewed on the basis of technical quality, relevance to scope of PCI, originality, significance, and clarity. Note that submitted papers should have neither been published nor submitted for publication elsewhere. The working language of the conference is English and the papers should be written in that language. As in previous years, the final version of the research papers accepted for presentation at PCI 2019 will be published by ACM in the ICPS Series (pending approval) and will be included in the ACM Digital library. The accepted extended abstracts will be allocated either a demo or poster slot during the conference. At least one author of each accepted paper or abstract is expected to register, attend the conference and present their contribution. Important Dates ? Paper submission deadline: September 10, 2019 ? Notification of paper acceptance/rejection: October 17, 2019 ? Submission of camera ready papers: October 24, 2019 ? Author registration: October 24, 2019 General Chairs ? Yannis Manolopoulos, Open University Cyprus, Cyprus ? George Angelos Papadopoulos, University of Cyprus, Cyprus ? Athena Stassopoulou, University of Nicosia, Cyprus Program Chairs ? Ioanna Dionysiou, University of Nicosia, Cyprus ? Ioannis Kyriakides, University of Nicosia, Cyprus ? Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus Local Advisory Committee ? Demetris Trihinas (chair, University of Nicosia) ? Achilleas Achilleos (Frederick University Cyprus) ? Panayiotis Andreou (University of Central Lancashire-Cyprus) ? Christodoulos Efstathiades (European University Cyprus) ? Angelika Kokkinaki (University of Nicosia) ? Ioannis Krikidis (University of Cyprus) ? Jahna Otterbacher (Open University Cyprus) ? Vicky Papadopoulou (European University Cyprus) ? Nearchos Paspallis (University of Central Lancashire-Cyprus) ? Michalis Sirivianos (Cyprus University of Technology) ? Stavros Stavrou (Open University Cyprus) ? Demetris Zeinalipour (University of Cyprus) -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Sun Apr 14 15:49:40 2019 From: irina.illina at loria.fr (Irina Illina) Date: Sun, 14 Apr 2019 21:49:40 +0200 (CEST) Subject: Connectionists: PhD Thesis position or research engineer or post-doc position in Natural Language Processing: Introduction of semantic information in a speech recognition system Message-ID: <1773292066.1365420.1555271380522.JavaMail.zimbra@loria.fr> PhD Thesis position or research engineer or post-doc position in Natural Language Processing: Introduction of semantic information in a speech recognition system * Supervisors: Irina Illina, MdC, Dominique Fohr, CR CNRS Team: Multispeech, LORIA-INRIA Contact: illina at loria.fr, dominique.fohr at loria.fr Duration of post-doc or research engineer : 12-18 months Duration of PhD Thesis : 3 years Deadline to apply : May 15th, 2019 Required skills: background in statistics, natural language processing and computer program skills (Perl, Python). Candidates should email a detailed CV with diploma Under noisy conditions, audio acquisition is one of the toughest challenges to have a successful automatic speech recognition (ASR). Much of the success relies on the ability to attenuate ambient noise in the signal and to take it into account in the acoustic model used by the ASR. Our DNN (Deep Neural Network) denoising system and our approach to exploiting uncertainties have shown their combined effectiveness against noisy speech. The ASR stage will be supplemented by a semantic analysis. Predictive representations using continuous vectors have been shown to capture the semantic characteristics of words and their context, and to overcome representations based on counting words. Semantic analysis will be performed by combining predictive representations using continuous vectors and uncertainty on denoising. This combination will be done by the rescoring component. All our models will be based on the powerful technologies of DNN. Main activities * study and implementation of a noisy speech enhancement module and a propagation of uncertainty module; * design a semantic analysis module; * design a module taking into account the semantic and uncertainty information. Skills Strong background in mathematics, machine learning (DNN), statistics Following profiles are welcome, either: * Strong background in signal processing or * Strong experience with natural language processing Excellent English writing and speaking skills are required in any case. References [Nathwani et al ., 2018] Nathwani, K., Vincent, E., and Illina, I. DNN uncertainty propagation using GMM-derived uncertainty features for noise robust ASR, IEEE Signal Processing Letters , 2018. [Nathwani et al ., 2017] Nathwani, K., Vincent, E., and Illina, I. Consistent DNN uncertainty training and decoding for robust ASR, in Proc. IEEE Automatic Speech Recognition and Understanding Workshop , 2017. [Nugraha et al., 2016] Nugraha, A., Liutkus, A., Vincent E. Multichannel audio source separation with deep neural networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing , 2016. [Sheikh, 2016] Sheikh, I. Exploitation du contexte s?mantique pour am?liorer la reconnaissance des noms propres dans les documents audio diachroniques?, These de doctorat en Informatique, Universit? de Lorraine, 2016. [Peters et al., 2017] Matthew Peters, Waleed Ammar, Chandra Bhagavatula, and Russell Power. 2017. ?Semi-supervised sequence tagging with bidirectional language models.? In ACL. [Peters et al., 2018] Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018. ?Deep contextualized word representations?. In NAACL. [ https://team.inria.fr/multispeech/author/illina/ ] Irina ILLINA -- Associate Professor Lorraine University LORIA-INRIA office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Sun Apr 14 15:51:26 2019 From: irina.illina at loria.fr (Irina Illina) Date: Sun, 14 Apr 2019 21:51:26 +0200 (CEST) Subject: Connectionists: Post-doc/PhD position Pattern mining for Neural Networks debugging: application to speech recognition Message-ID: <889611512.1365515.1555271486636.JavaMail.zimbra@loria.fr> Post-doc/PhD position Pattern mining for Neural Networks debugging: application to speech recognition Advisors : Elisa Fromont & Alexandre Termier, IRISA/INRIA RBA ? Lacodam team (Rennes) Irina Illina & Emmanuel Vincent, LORIA/INRIA ? Multispeech team (Nancy) firstname.lastname at inria.fr Location: INRIA RBA, team Lacodam (Rennes) Keywords: discriminative pattern mining, neural networks analysis, explainability of black box models, speech recognition. Context: Understanding the inner working of deep neural networks (DNN) has attracted a lot of attention in the past years [1, 2] and most problems were detected and analyzed using visualization techniques [3, 4]. Those techniques help to understand what an individual neuron or a layer of neurons are computing. We would like to go beyond this by focusing on groups of neurons which are commonly highly activated when a network is making wrong predictions on a set of examples. In the same line as [1], where the authors theoretically link how a training example affects the predictions for a test example using the so called ?influence functions?, we would like to design a tool to ?debug? neural networks by identifying, using symbolic data mining methods, (connected) parts of the neural network architecture associated with erroneous or uncertain outputs. In the context of speech recognition, this is especially important. A speech recognition system contains two main parts: an acoustic model and a language model. Nowadays models are trained with deep neural networks-based algorithms (DNN) and use very large learning corpora to train an important number of DNN hyperparameters. There are many works to automatically tune these hyperparameters. However, this induces a huge computational cost, and does not empower the human designers. It would be much more efficient to provide human designers with understandable clues about the reasons for the bad performance of the system, in order to benefit from their creativity to quickly reach more promising regions of the hyperparameter search space. Description of the position : This position is funded in the context of the HyAIAI ?Hybrid Approaches for Interpretable AI? INRIA project lab (https://www.inria.fr/en/research/researchteams/inria-project-labs). With this position, we would like to go beyond the current common visualization techniques that help to understand what an individual neuron or a layer of neurons is computing, by focusing on groups of neurons that are commonly highly activated when a network is making wrong predictions on a set of examples. Tools such as activation maximization [8] can be used to identify such neurons. We propose to use discriminative pattern mining, and, to begin with, the DiffNorm algorithm [6] in conjunction with the LCM one [7] to identify the discriminative activation patterns among the identified neurons. The data will be provided by the MULTISPEECH team and will consist of two deep architectures as representatives of acoustic and language models [9, 10]. Furthermore, the training data will be provided, where the model parameters ultimately derive from. We will also extend our results by performing experiments with supervised and unsupervised learning to compare the features learned by these networks and to perform qualitative comparisons of the solutions learned by various deep architectures. Identifying ?faulty? groups of neurons could lead to the decomposition of the DL network into ?blocks? encompassing several layers. ?Faulty? blocks may be the first to be modified in the search for a better design. The recruited person will benefit from the expertise of the LACODAM team in pattern mining and deep learning (https://team.inria.fr/lacodam/) and of the expertise of the MULTISPEECH team (https://team.inria.fr/multispeech/) in speech analysis, language processing and deep learning. We would ideally like to recruit a 1 year (with possibly one additional year) post-doc with the following preferred skills: ? Some knowledge (interest) about speech recognition ? Knowledgeable in pattern mining (discriminative pattern mining is a plus) ? Knowledgeable in machine learning in general and deep learning particular ? Good programming skills in Python (for Keras and/or Tensor Flow) ? Very good English (understanding and writing) However, good PhD applications will also be considered and, in this case, the position will last 3 years. The position will be funded by INRIA (https://www.inria.fr/en/). See the INRIA web site for the post-doc and PhD wages. The candidates should send a CV, 2 names of referees and a cover letter to the four researchers (firstname.lastname at inria.fr) mentioned above. Please indicate if you are applying for the post-doc or the PhD position. The selected candidates will be interviewed in June for an expected start in September 2019. Bibliography: [1] Pang Wei Koh, Percy Liang: Understanding Black-box Predictions via Influence Functions. ICML 2017: pp 1885-1894 (best paper). [2] Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals: Understanding deep learning requires rethinking generalization. ICLR 2017. [3] Anh Mai Nguyen, Jason Yosinski, Jeff Clune: Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. CVPR 2015: pp 427-436. [4] Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus: Intriguing properties of neural networks. ICLR 2014. [5] Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi: Deep Text Classification Can be Fooled. IJCAI 2018: pp 4208-4215. [6] Kailash Budhathoki and Jilles Vreeken. The difference and the norm?characterising similarities and differences between databases. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pages 206?223. Springer, 2015. [7] Takeaki Uno, Tatsuya Asai, Yuzo Uchida, and Hiroki Arimura. Lcm: An efficient algorithm for enumerating frequent closed item sets. In Fimi, volume 90. Citeseer, 2003. [8] Dumitru Erhan, Yoshua Bengio, Aaron Courville, and Pascal Vincent. Visualizing higher-layer features of a deep network. University of Montreal, 1341(3):1, 2009. [9] G. Saon, H.-K. J. Kuo, S. Rennie, M. Picheny: The IBM 2015 English conversational telephone speech recognition system?, Proc. Interspeech, pp. 3140-3144, 2015. [10] W. Xiong, L. Wu, F. Alleva, J. Droppo, X. Huang, A. Stolcke : The Microsoft 2017 Conversational Speech Recognition System, IEEE ICASSP, 2018. -- Associate Professor Lorraine University LORIA-INRIA office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From yang at maebashi-it.org Sun Apr 14 23:51:01 2019 From: yang at maebashi-it.org (Yang) Date: Mon, 15 Apr 2019 12:51:01 +0900 Subject: Connectionists: [Call for Papers] Brain Informatics 2019 Message-ID: [Apologies if you receive this more than once] CALL FOR PAPERS The 12th International Conference on Brain Informatics (BI'19) December 13-15, 2019, Hainan, China http://wi-consortium.org/conferences/bi2019/ ----------------------------------------------------------------------------- Investigating Brain and Mind from Informatics Perspective ----------------------------------------------------------------------------- The International Conference on Brain Informatics series (BI) has established itself as the world?s premier research forum that brings together researchers and practitioners from neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies with the purpose of exploring the fundamental roles, interactions as well as practical impacts of Brain Informatics. The BI'19 will provide a broad forum that academia, professionals and industry people can exchange their ideas, findings, and strategies in brain informatics research and brain-inspired concepts and technologies. It welcomes emerging technologies for addressing fundamental neurobiological questions about healthy brain function, laying the groundwork for advancing treatments for brain disorders or injury, and for generating brain-inspired "smart" artificial intelligence and computing technologies to meet future societal needs. It will educate and expand the brain informatics workforce and create new career opportunities for brain research and related innovations. *** Topics and Areas for Parallel Presentations *** The BI'19 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing Paper Submission and Publications Paper Submission: Full papers should be limited to a maximum of 10 pages including figures and references in Springer LNCS Proceedings format; high-quality paper submissions with up to 6 pages are also welcome and will be accepted as short papers. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality. All papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. Research Abstract: Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors. Special Issues & Books: Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal (https://braininformatics.springeropen.com/). IMPORTANT DATES: ================ April 15, 2019: Submission deadline for workshop/special session/Tutorial proposals April 30, 2019: Notification of workshop/special session proposal acceptance May 6, 2019: Submission deadline for full papers May 22, 2019: Submission deadline for workshop/special session papers July 15, 2019: Notification of full paper acceptance July 22, 2019: Notification of workshop/special session paper acceptance July 22, 2019: Submission deadline for abstracts August 19, 2019: Notification of abstract acceptance December 13, 2019: Tutorials, workshops and special sessions December 14 - 15, 2019: Main conference Conference Venue =============== Hainan University Haikou, at Hainan Island, China ORGANIZERS =========== General Chair Qingming Luo (Hainan University, China) Program Committee Chairs Peipeng Liang (Capital Normal University, China) Vinod Goel (York University, Canada) Chunlei Shan (Shanghai U. Traditional Chinese, Medicine, China) Workshop/Special-Session Chairs Yang Yang (Maebashi Institute of Technology, Japan) Mufti Mahmud (Nottingham Trent University, UK) Publicity Chairs Zhiqi Mao (Chinese PLA General Hospital, China) M Shamim Kaiser (Jahangirnagar University, Bangladesh) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** Yang Yang Email: yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Mon Apr 15 05:35:38 2019 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Mon, 15 Apr 2019 11:35:38 +0200 Subject: Connectionists: Fourth International Workshop on Intrinsically-Motivated Open-endedLearning (IMOL2019) Message-ID: Dear Colleagues, We are pleased to announce the ?Fourth International Workshop on Intrinsically-Motivated Open-endedLearning (IMOL2019)?, which will be held at Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt (Germany) on 1-2-3 July 2019. The organizers of IMOL 2019 will be - Vieri Giuliano Santucci (ISTC ? CNR, Rome) - Kathryn Merrick (University of New South Wales, Canberra) - Jochen Triesch (FIAS, Frankfurt) - Gianluca Baldassarre (ISTC ? CNR, Rome) Following three previous editions, the highly focused ?Fourth International Workshop on Intrinsically-Motivated Open-ended Learning (IMOL2019)? aims to further explore the promise of intrinsically motivated open-ended lifelong learning. The workshop aims to be a highly interactive event with high-profile keynote presentations (see list of confirmed invited speakers at the end of this message). It will foster close interaction among the participants by discussions, poster sessions, and collective round tables directed toward specific objectives. Participation in the workshop is free of charge but limited to a restricted number of participants. Prospective attendees should express their interest by submitting a brief statement on their motivations to participate, their research interests, and their willingness (or not) to contribute with a poster. The submission should be made by following the instructions at http://www.imol-conf.org/ before the deadline of May, 17th. Both senior and early career researchers, including PhD students, are encouraged to submit to ensure a full representation of the community. Topics of interest involve open-ended lifelong learning in autonomous agents and robots, for example: - Autonomous robots lifelong learning - Multi-task reinforcement learning - Deep reinforcement learning - Intrinsic motivations - Curriculum learning - Goal self-generation - Multiple task solution and parameterized skills - Neural/probabilistic representations and abstractions - Architectures for open-ended learning - Goal-based skill learning - Knowledge transfer and avoidance of catastrophic forgetting - Compositionality and chunking - Hierarchies of goals and skills - Mitigating risks of real-world deployment of open-ended learning systems List of confirmed invited speakers - Luc Berthouze - Marc Bellemare - Bruno Castro da Silva - Stephane Doncieux - Kenji Doya - Richard Duro - Verena Hafner - Matej Hoffman - Petar Kormushev - Georg Martius - Yukie Nagai - Nicol?s Navarro-Guerrero - Kevin O'Regan - Matthias Rolf - Elmar Rueckert - Bertram E. Shi - Olivier Sigaud - Jochen Steil - Freek Stulp - C?line Teuli?re - Emre Ugur (more TBC) -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From sepand.haghighi at yahoo.com Mon Apr 15 16:02:07 2019 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Mon, 15 Apr 2019 20:02:07 +0000 (UTC) Subject: Connectionists: PyCM 2.0 released: A general benchmark based comparison of classification models References: <1610070969.4017179.1555358527664.ref@mail.yahoo.com> Message-ID: <1610070969.4017179.1555358527664@mail.yahoo.com> PyCM version 2.0 released https://github.com/sepandhaghighi/pycmhttp://www.pycm.ir In version 2.0 a method for comparing several confusion matrices is introduced. This option is a combination of several overall and class-based benchmarks. Each of the benchmarks evaluates the performance of the classification algorithm from good to poor and give them a numeric score. The score of good performance is 1 and for the poor performance is 0.After that, two scores are calculated for each confusion matrices, overall and class based. The overall score is the average of the score of four overall benchmarks which are Landis & Koch, Fleiss, Altman, and Cicchetti. And with a same manner, the class based score is the average of the score of three class-based benchmarks which are Positive Likelihood Ratio Interpretation, Discriminant Power Interpretation, and AUC value Interpretation. It should be notice that if one of the benchmarks returns none for one of the classes, that benchmarks will be eliminate in total averaging. If user set weights for the classes, the averaging over the value of class-based benchmark scores will transform to a weighted average.If the user set the value of by_class boolean input True, the best confusion matrix is the one with the maximum class-based score. Otherwise, if a confusion matrix obtain the maximum of the both overall and class-based score, that will be the reported as the best confusion matrix but in any other cases the compare object doesn?t select best confusion matrix. Changelog : - G-Mean (GM) added #178 - Index of balanced accuracy (IBA) added #176 - Optimized precision (OP) added #152 - Pearson's C (C) added #180 - Compare class added #111 - Parameters recommendation warning added #174 - ConfusionMatrix equal method added #181 - Document modified #173 - stat_print function bug fixed - table_print function bug fixed - Beta parameter renamed to beta (F_calc function & F_beta method) - Parameters recommendation for imbalance dataset modified - normalize parameter added to save_html method #183 - pycm_func.py splitted into pycm_class_func.py and pycm_overall_func.py - vector_filter, vector_check, class_check and matrix_check functions moved to pycm_util.py - RACC_calc and RACCU_calc functions exception handler modified #187 - Docstrings modified Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.jaeger at jacobs-university.de Tue Apr 16 04:30:26 2019 From: h.jaeger at jacobs-university.de (Herbert Jaeger) Date: Tue, 16 Apr 2019 10:30:26 +0200 Subject: Connectionists: Job opening: Visiting Professorship in Machine Learning at Jacobs University Message-ID: <800c0f5f-a926-b72c-28e3-940199c0d2a1@jacobs-university.de> Jacobs University Bremen (www.jacobs-university.de) invites applications for a *** 3-year Visiting Professorship in Machine Learning *** The full job description can be found at https://www.jacobs-university.de/visiting-professor-computer-science-mfd-machine-learning Jacobs University is a small, select, private, research-oriented, English-speaking university with a beautiful campus located at the outskirts of Bremen, a charming old trading seaport in the north of Germany. In the Times Higher Education (THE) worldwide university ranking 2018, Jacobs University ranked in the top 300 in the general ranking, in the 151-175 bracket in Engineering and Technology and in the 176-200 bracket in the Life Sciences. The review of applications will begin immediately and will continue until the position is filled. Ideally, a successful candidate can start on this position in August 2019. - Herbert Jaeger ------------------------------------------------------------------ Dr. Herbert Jaeger Professor for Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 email h.jaeger at jacobs-university.de http://minds.jacobs-university.de ------------------------------------------------------------------ From vcutsuridis at gmail.com Tue Apr 16 04:57:51 2019 From: vcutsuridis at gmail.com (Vassilis Cutsuridis) Date: Tue, 16 Apr 2019 09:57:51 +0100 Subject: Connectionists: Athens International MSc in Neurosciences -- now accepting 2019-20 applications In-Reply-To: References: Message-ID: Apologies for cross-posting ? please forward to any interested party. / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / *Applications for the 2019-20 MSc programme in* *Athens International Master's in Neurosciences * *at National and Kapodistian University of Athens, Greece* *are now OPEN.* / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / This cutting-edge Masters programme is a combined effort of several Athens-based departments and research centers including the - Department of Biology of the National and Kapodistrian University of Athens - Department of Nursing of the National and Kapodistrian University of Athens - Department of Dentistry of the National and Kapodistrian University of Athens - School of Medicine of the National and Kapodistrian University of Athens - Foundation for Biomedical Research of the Academy of Athens - National Center for Scientific Research "Demokritos" - Hellenic Pasteur Institute - Biomedical Sciences Research Center ?Alexander Fleming? which builds on the multi-disciplinary research profiles of its staff. Teaching and research staff includes Greek and International professors and researchers of Greek and International Universities and Research Centers. *All lectures are taught in English*. The programme equips students with a rigorous grounding in experimental and computational methods of neurosciences; it also provides them with the opportunity to apply the knowledge they acquired in a practical research project, which may be carried out in collaboration with one of the Masters programme?s industry partners. ** COURSE OUTLINE ** ????????? This is a two-year MSc degree programme, consisting of taught modules (12 months) plus research project and dissertation (12 months). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering) interested in how the brain and mind works. The core contents of this programme include (i) fundamentals of experimental neurosciences (developmental neuroscience, cellular and molecular neuroscience, neuroanatomy, neurobiological bases of diseases of the nervous system, neuropharmacology, neuroimmunology, neuroendocrinology. behavioral neuroscience, electrophysiology, neuroimaging), (ii) Lab rotations, and (iii) concepts,methods of computational modelling, data analytics and machine learning. Unlike other standard neuroscience programmes (focusing predominantly either on ?low-level? or "high-level" aspects of neuroscience), one of the distinctive features of this programme is that it covers the whole spectrum of the neurosciences bridging the gap between molecular and cellular neuroscience to high-level cognitive processes (e.g., language, attention, and decision making) including computational neuroscience and big data analytics. The final research project and dissertation is carried out in collaboration with an external partner, either from academia or industry. ** WHY STUDY IN ATHENS ** -------------------------------------- Aside from mastering neuroscience, you can also enjoy the largest open-air museum during its mostly sunny and dry days. These include Acropolis and Parthenon, the Odeon of Herodes Atticus, the Arch of Hadrian, the Theatre of Dionysus, Panathenaic Stadium-Kallimarmaro, the iconic Temple of Olympian Zeus, pedestrian avenue of Dionysios Areopagitou, Pnyx Hill, Thiseio, Monastiraki, Plaka and etc, that are full of temples and ancient and Byzantine monuments. In addition, Athens has great museums incunding the Acropolis meuseum, the National Archaeological museum, the museum of Modern Art, the museum of Greek Folk Art and of Greek Folk Musical Instruments, the War Museum, the Benaki Museum, the Museum of Cycladic Art, the National Gallery, and others. You will also have the opportunity to enjoy excellent nature and coast line and the easily reached Aegean islands. ** TUITION FEES ** ????????? *F**ull time EU students*: 2000 Euros per year *Full time non-EU students*: 3000 Euros per year *Part time students*: 500 Euros per semester during the first two years and 1000 Euros per semester during the third year. ** HOW TO APPLY ** ????????? *Applications for the 2019-20 and 2020-21 Academic Years are now open. * To fill in an application, click on this link and follow the instructions: http://masterneuroscience.biol.uoa.gr/admissions.html *NOTE: places are limited.* We recommend submitting an application as soon as possible to ensure a place on the programme. For any further information about the programme, please visit: *http://mastermeuroscience.biol.uoa.gr* Should you have any questions, please do not hesitate to contact me. I look forward to receiving your application soon! With very best wishes, Professor Spiros Efthimiopoulos ( efthis at biol.uoa.gr ) ? Spiros Efthimiopoulos Professor Director of the Master's Programm: "Athens International Master's Programme in Neurosciences" University of Athens Department of Biology Division of Animal and Human Physiology Central Building, 3nd Floor, Room 38 or 44 157 84 Panepistimiopolis, Ilisia Athens, Greece Tel# ++ 30 210 7274890, ++306974874328 Fax# ++ 30 210 7274635 E-mail: efthis at biol.uoa.gr / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / -------------- next part -------------- An HTML attachment was scrubbed... URL: From inesdomingues at gmail.com Tue Apr 16 05:34:01 2019 From: inesdomingues at gmail.com (=?UTF-8?Q?In=C3=AAs_Domingues?=) Date: Tue, 16 Apr 2019 10:34:01 +0100 Subject: Connectionists: European Conference on the Impact of AI and Robotics (ECIAIR 2019) - abstract submission deadline 30th April 2019. In-Reply-To: References: Message-ID: The European Conference on the Impact of AI and Robotics (ECIAIR 2019) being hosted by EM-Normandie Business School, Oxford Campus, UK 31 October ? 1 November 2019, has extended the abstract submission deadline to 30th April 2019. For more information and to submit papers, please go to: https://www.academic-conferences.org/conferences/eciair/eciair-call-for-papers/ Papers accepted for the conference will be published in the conference proceedings, subject to author registration and payment. The Proceedings have an ISSN, ISBN and will be submitted for indexing in the Thompson Web of Science and listing in the EBSCO database. Follow the conference on LinkedIn , Facebook and Twitter -------------- next part -------------- An HTML attachment was scrubbed... URL: From inesdomingues at gmail.com Tue Apr 16 06:13:42 2019 From: inesdomingues at gmail.com (=?UTF-8?Q?In=C3=AAs_Domingues?=) Date: Tue, 16 Apr 2019 11:13:42 +0100 Subject: Connectionists: VipImage 2019 thematic session on the "Intersection between Image Processing and Machine Learning in Biomedical Applications" In-Reply-To: References: Message-ID: The International Conference VipIMAGE 2019 - VII ECCOMAS THEMATIC CONFERENCE ON COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING ( www.fe.up.pt/vipimage) to be held in October 16-18, 2019, Porto, Portugal. Thematic Session - Intersection between Image Processing and Machine Learning in Biomedical Applications ( https://paginas.fe.up.pt/~vipimage/docs/Session_Image_Processing_Machine_Learning_Biomedical_Apps.pdf ) Publications Proceedings: The proceedings book will be published by Springer under the book series "Lecture Notes in Computational Vision and Biomechanics" indexed by Elsevier Scopus. Journal Publication: A dedicated special issue of the Taylor & Francis international journal "Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization" indexed in Scopus, DBLP and Clarivate Analytics Emerging Sources Index will be published with extended versions of the best works presented in the conference. Springer Book: A book with invited works from the ones presented in the conference will be organized for publishing by Springer. Deadline for Extended Abstracts: April 30, 2019 Facebook page: www.facebook.com/ECCOMASVipIMAGE LinkedIn group: www.linkedin.com/groups/4752820. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Daniel.Gill at winchester.ac.uk Tue Apr 16 11:07:40 2019 From: Daniel.Gill at winchester.ac.uk (Daniel.Gill) Date: Tue, 16 Apr 2019 15:07:40 +0000 Subject: Connectionists: Fully funded PhD position in computational modelling of top-down effects in face perception In-Reply-To: References: Message-ID: Computational modelling of top-down effects in face perception ===================================================== A fully funded PhD Studentship (stipend + fees) opportunity at the University of Winchester, UK The position is open to both UK/EU and international students*. Applications are invited for a 3-year fully funded inter-disciplinary PhD position under the supervision of Dr. Daniel Gill and Prof. Paul Sowden from the Department of Psychology, and Dr. Claire Ancient from the Department of Digital Futures. Our team is seeking a talented, enthusiastic, knowledgeable and highly motivated PhD student to take part in an exciting study that combines computational methods, clinical and behavioural and research techniques to study the effect of mental state on face perception. Research implies that the process of attending to emotionally expressive faces is susceptible to mood and mental state. The current project will investigate the explicit modifications of facial mental representations induced by mental states, in particular in depression and anxiety. The project will involve psychophysical and computational tools. The successful applicant will contribute to performing recordings with patients in collaborating clinics and the analysis of the data. They should have very good quantitative and computational skills and a strong background or interest in neuroscience and/or psychology. Requirements - A track record of high academic achievement, demonstrated by a first class or high upper second undergraduate honours degree and/or a master?s degree (or equivalent) in Neuroscience, Computer Science, Electric or Biomedical Engineering, Psychology, Statistics or related disciplines. - Two academic references. - The ability to work independently, with the support of a supervisory team, and the enthusiasm to contribute to a vibrant and stimulating research environment are essential. - Programming skills (e.g., Matlab, orPython etc). - Familiarity with machine learning and image processing techniques. - Fluency in English Prior to the submission of the formal application, prospective students are encouraged to contact Dr. Gill (daniel.gill at winchester.ac.uk) or Dr. Claire Ancient (Claire.encient at winchester.ac.uk) or Prof. Sowden (paul.sowden at winchester.ac.uk) by email no later than May 10th, 2017 for further instructions and informal enquiries (This is optional; applications can be submitted directly to the link in the Application Process section). The University of Winchester in located at the stunning city of Winchester, one of the most beautiful cities in the UK. Winchester is less than an hour by train to London Waterloo train station. Application Process: Students should apply to the University of Winchester using Application Form A, which includes a substantial project proposal. To download a copy of Form A please click the following link: https://www.winchester.ac.uk/study/research-degrees/how-to-apply/ Key Dates: ? Deadline for applications: Midnight 19 May 2019 ? References direct from referees** required by 29 May 2019 ? Interviews will be held between 24 June and 29 June 2019 ? Awards begin September 2019 *nb Non-EU students are required to pay the balance between UK and non-EU tuition fees for the three years of the studentship (for 19/20: ?13,300- ?4,200= ?9,100/annum) ___________________________________ Dr. Daniel Gill BSc, MSc, PhD, FHEA Senior Lecturer Department of Psychology The University of Winchester Winchester UK SO22 4NR Phone (office): +44 (0)1962 675144 e-mail Daniel.Gill at winchester.ac.uk [https://www.winchester.ac.uk/media/content-assets/corporate-imagery/Email-signature.png] Our privacy policy is here. University of Winchester, a private charitable company limited by guarantee in England and Wales number 5969256. Registered Office: Sparkford Road, Winchester, Hampshire SO22 4NR -------------- next part -------------- An HTML attachment was scrubbed... URL: From volker.roth at unibas.ch Tue Apr 16 12:23:02 2019 From: volker.roth at unibas.ch (Volker Roth) Date: Tue, 16 Apr 2019 16:23:02 +0000 Subject: Connectionists: University of Basel (Switzerland): Open PhD positions in Machine Learning / Data Analytics Message-ID: <8113f9e67c1849f492d0e985c4fee91e@unibas.ch> Applications are invited for PhD positions in computer science, with a focus on interdisciplinary applications of machine learning in material science / chemistry. Possible topics include the prediction of molecular properties with deep neural network architectures, learning new latent representations of molecules, or predicting new molecules with specified properties. Prerequisites: Candidates should have a Master's degree in computer science, applied mathematics, physics, chemistry, or related fields. They are interested to work in an interdisciplinary research environment and have good communication skills (English). Successful candidates will be awarded a fellowship with a competitive salary. Applications with a full CV, short statement of research interests and names of at least one referee should be submitted in electronic form with the subject line "PhD in Machine Learning" to: volker.roth at unibas.ch Volker Roth Department of Mathematics and Computer Science University of Basel, Spiegelgasse 1, CH-4051 Basel, Switzerland Submission deadline: May 15, 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From o.e.scharenborg at tudelft.nl Tue Apr 16 13:28:27 2019 From: o.e.scharenborg at tudelft.nl (Odette Scharenborg) Date: Tue, 16 Apr 2019 19:28:27 +0200 Subject: Connectionists: Call for abstracts Young Female Researchers in Speech Workshop 2019, Graz, Austria Message-ID: <7895_1555436288_x3GHc6Yf010328_op.z0cn5pz6hgrfd8@tud256733> Dear colleague, with apologies for cross-posting, I would be very grateful if you could disseminate the workshop announcement below within your networks, especially to any bachelor/masters' students or undergraduates who may be interested in attending. Best wishes, Odette -------- Call for Abstracts: Young Female Researchers in Speech Workshop 2019 website: https://sites.google.com/view/yfrsw-2019/home Date: 14 September 2019 Deadline: 1 June 2019 What it is about: The Young Female Researchers in Speech Workshop (YFRSW) is a workshop for women undergraduate and masters students who are currently working in speech science and technology. It is designed to foster interest in research in our field in women at the undergraduate or master level who have not yet committed to getting a PhD in speech science or technology areas, but who have had some research experience in their college and universities via individual or group projects. The workshop is to be held prior to Interspeech 2019 on Saturday September 14th, 2019, in Graz, Austria. It will feature panel discussions with PhD students and senior researchers in the field, student poster presentations and a mentoring session. Student poster presentations should give an overview of a current or planned research project in which the student is involved, with an emphasis on promoting discussion. The workshop is the fourth of its kind, after a successful inaugural event YFRSW 2016, at Interspeech 2016 in San Francisco, USA, YFRSW 2017 at Interspeech 2017 in Stockholm, Sweden, and YFRSW 2018 at Interspeech in Hyderabad, India. Travel funds are available for students accepted to attend the workshop. How to submit: To attend the workshop please send an abstract describing your (planned) research (maximum of 300 words). This abstract should be submitted by email to yfrsw2019 at gmail.com by June 1, 2019. Abstracts will be reviewed by the committee and applicants will be notified as soon as possible. We will emphasize inclusivity although all submissions should be in the core scientific domains covered by Interspeech. Please direct any questions to: yfrsw2019 at gmail.com From Fabien.Moutarde at mines-paristech.fr Tue Apr 16 12:47:22 2019 From: Fabien.Moutarde at mines-paristech.fr (Fabien moutarde) Date: Tue, 16 Apr 2019 18:47:22 +0200 Subject: Connectionists: Permanent Researcher position in AI/ML for Robotics and Intelligent Vehciles at MINES ParisTech (deadline = May 6th 2019) Message-ID: The Center for Robotics (http://caor.mines-paristech.fr/en ) of MINES ParisTech (located at 60 Bd St-Michel 75006 Paris, FRANCE) has opened a PERMANENT RESEARCHER position ("Charg? de Recherche") in Artificial Intelligence for Robotics and Autonomous Vehicles. This position is for a young researcher (M/F, ideally 3-10 ans after PhD) willing to develop multidisciplinary research combining fundamental and applied sciences in Artificial Intelligence *with application to Autonomous Vehicles and Robotics*. Target profile: candidates should hold a PhD ideally in Deep-Learning for Robotics or Intelligent Vehicles (or otherwise either PhD in Deep-Learning applied to another domain, or PhD in Perception or Planning in Robotics or Intelligent Vehicles + knowledge-in and motivation-by? Machine-Learning) + ideally at least one first post-doc experience in these same domains [but tenure-track directly after PhD also conceivable]. For more details on the laboratory, the job description, and application modalities, see page below: http://caor-mines-paristech.fr/en/2019/03/permanent-research-position-research-position-charge-de-recherche-open-mf-in-artificial-intelligence-for-robotics-and-autonomous-vehicles/ Application deadline: May 6th 2019 --- L'absence de virus dans ce courrier ?lectronique a ?t? v?rifi?e par le logiciel antivirus Avast. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From arindamp at gmail.com Wed Apr 17 04:13:11 2019 From: arindamp at gmail.com (Arindam Pal) Date: Wed, 17 Apr 2019 13:43:11 +0530 Subject: Connectionists: CFP: ParLearning 2019 in conjunction with KDD 2019 Message-ID: **************************************************************************************** * The 8th International Workshop on Parallel and Distributed Computing for * Large-Scale Machine Learning and Big Data Analytics (ParLearning 2019) * https://parlearning.github.io * August 5, 2019 * Anchorage, Alaska, USA * * Co-located with * The 25th ACM SIGKDD International Conference on * Knowledge Discovery and Data Mining (KDD 2019) * https://www.kdd.org/kdd2019/ * August 4 - August 8, 2019 * Dena?ina Convention Center and William Egan Convention Center * Anchorage, Alaska, USA **************************************************************************************** Call for Papers Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past ten years have seen the rise of multi-core and GPU based computing. In parallel and distributed computing, several frameworks such as OpenMP, OpenCL, and Spark continue to facilitate scaling up ML/DM/AI algorithms using higher levels of abstraction. We invite novel works that advance the trio-fields of ML/DM/AI through development of scalable algorithms or computing frameworks. Ideal submissions should describe methods for scaling up X using Y on Z, where potential choices for X, Y and Z are provided below. Scaling up o Recommender systems o Optimization algorithms (gradient descent, Newton methods) o Deep learning o Distributed algorithms and AI for Blockchain o Sampling/sketching techniques o Clustering (agglomerative techniques, graph clustering, clustering heterogeneous data) o Classification (SVM and other classifiers) o SVD and other matrix computations o Probabilistic inference (Bayesian networks) o Logical reasoning o Graph algorithms, graph mining and knowledge graphs o Semi-supervised learning o Online and streaming learning o Generative adversarial networks Using o Parallel architectures/frameworks (OpenMP, OpenCL, OpenACC, Intel TBB) o Distributed systems/frameworks (GraphLab, Hadoop, MPI, Spark) o Machine learning frameworks (TensorFlow, PyTorch, Theano, Caffe) On o Clusters of conventional CPUs o Many-core CPU (e.g. Xeon Phi) o FPGA o Specialized ML accelerators (e.g. GPU and TPU) Workshop Proceedings Accepted papers will be published in the conference proceedings by ACM and also appear in the ACM Digital Library. Awards Best Paper Award: The program committee will nominate a paper for the Best Paper award. In past years, the Best Paper award included a cash prize. Stay tuned for this year! Travel awards: Students with accepted papers have a chance to apply for a travel award. Please find details on the ACM KDD 2019 web page. Important Dates o Paper submission: May 5, 2019 (Anywhere on Earth) o Author notification: June 1, 2019 o Camera-ready version: June 8, 2019 Paper Guidelines Submissions are limited to a total of 10 pages, including all content and references, and must be in PDF format and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available online at: https://www.acm.org/publications/proceedings-template. Papers that do not meet the formatting requirements will be rejected without review. All submissions must be uploaded electronically at https://www.easychair.org/conferences/?conf=parlearning2019. Keynote Speakers o Professor V.S. Subrahmanian (Dartmouth College, Hanover, NH, USA) Organizing Committee o General Chairs: Arindam Pal (TCS Research and Innovation, Kolkata, India) and Henri Bal (Vrije Universiteit, Amsterdam, Netherlands) o Program Chairs: Azalia Mirhoseini (Google AI, Mountain View, CA, USA), Thomas Parnell (IBM Research, Zurich, Switzerland) o Publicity Chair: Anand Panangadan (California State University, Fullerton, USA) o Steering Committee Chairs: Sutanay Choudhury (Pacific Northwest National Laboratory, Richland, WA, USA) and Yinglong Xia (Huawei Research America, Santa Clara, CA, USA) Regards, Arindam Pal, Ph.D. Research Scientist TCS Research and Innovation http://www.cse.iitd.ac.in/~arindamp/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.M.Bohte at cwi.nl Wed Apr 17 04:11:30 2019 From: S.M.Bohte at cwi.nl (Sander Bohte) Date: Wed, 17 Apr 2019 10:11:30 +0200 Subject: Connectionists: workshop NanoSpike Lille (France) May 15 - 17 Message-ID: Efficient learning with Spiking Neural Networks (SNNs) promises effective and efficient Edge-AI on nanodevices, with the potential to have a tremendous impact in the life sciences and environmental intelligence. SNNs are particularly relevant for temporal pattern recognition like biosonar signals sent by sea mammals appear like a series of chirps which are eminently suitable to match with the activity patterns of an SNN. Following the BioComp'2019 meeting, at the same place in Lille, the Nanospike Workshop aims at gathering actors in multiple disciplines and especially sensitizing the community of researchers on bio-inspired devices to the potential of SNNs and their applications. The Workshop will consist of a challenge, invited talks and poster sessions around the following research topics: - Computing with Spiking Neuron Networks (SNN) - Nanodevices implementing SNN - SNN for Bioacoustics The "Nanospike Workshop", where "Spiking Neural Networks", "Nanodevices", and "Biodiversity" meet, will take place in Lille (France), from 15 to 17 May 2019. You are invited to propose posters and take part in a challenge requiring the implementation of learning models. For more information, see http://sabiod.org/EADM/nanospike.html H?l?ne Paugam-Moisy et Manuel Clergue, LAMIA, Universit? des Antilles. Philippe Devienne, IRCICA, Lille. Herv? Glotin, LSIS, Universit? de Toulon. Sander Bohte, CWI, Amsterdam, NL. -------------- next part -------------- An HTML attachment was scrubbed... URL: From n.nikolaou at ucl.ac.uk Wed Apr 17 16:45:45 2019 From: n.nikolaou at ucl.ac.uk (Nikolaou, Nikos) Date: Wed, 17 Apr 2019 20:45:45 +0000 Subject: Connectionists: ECML-PKDD 2019 Discovery Challenge - Correcting Transiting Exoplanet Light Curves for Stellar Spots Message-ID: [Apologies for multiple postings] Call for Participation ECML-PKDD 2019 Discovery Challenge - Correcting Transiting Exoplanet Light Curves for Stellar Spots (Ariel Machine Learning & Stellar Activity Challenge) Organised and Sponsored by the European Space Agency (ESA) M4 ARIEL Mission Consortium and the University College London Hosted by the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2019 *** Motivation & Goals*** The field of exoplanet discovery and characterisation has been growing rapidly in the last decade. However, several big challenges remain, many of which could be addressed using machine learning and data mining methodology. For instance, the most successful method for detecting exoplanets, transit photometry ?measuring the faint decrease in incoming stellar light as an exoplanet passes between the Earth and a target star? is very sensitive to the presence of stellar spots, i.e. areas of the star that are colder and emit fewer light. The current approach is to identify the effects of such spots visually and correct for them manually or discard the data. As a first step to automate this process, we propose a regular competition on data generated by a simulator of the European Space Agency?s upcoming Ariel mission, whose objective is to characterise the atmosphere of 1000 exoplanets. The data consist of light curves (i.e. time series of the light received by the observation instrument from the target star-planet system) corrupted by stellar spots, along with auxiliary observation information. The goal is to correct the light curves for the presence of stellar spots, by predicting the relative planet-to-star radius ratio. This is a yet unsolved problem in the community. Solving it will mean improving our understanding of the characteristics of currently confirmed exoplanets, potentially recognising false positive / false negative detections and improving our ability to analyse new observations ? primarily but not limited to those expected from Ariel? without the need to equip new telescopes with additional instruments with all the extra costs this implies. *** Dataset & Task Details*** Task: Supervised learning, multi-target regression; all variables are continuous. Features: Each training datapoint consists of a set of 55 noisy light curves (one per wavelength, each being a timeseries of 300 timesteps) and a set of 6 additional stellar and planetary parameters. Targets: The goal is to predict a set of 55 values (relative radii, one per wavelength) for any datapoint. Dataset size: The size of the dataset is ~20Gb. For a more detailed description, please visit the competition website at: https://ariel-datachallenge.azurewebsites.net/ML *** Participation *** Participants of this challenge will submit the predictions of their models on the provided test dataset. The ground truth will be released to the participants after the end of the competition. The solutions will be automatically ranked and the participants will obtain immediate feedback in the leaderboard maintained in the site. The 2 top-ranked participants will be invited to provide a brief description of their solution (describing data preprocessing steps, models and algorithms used) in the week after the competition closes. The 2 top-ranked participants will then be eligible to prizes, provided they beat the baseline, and no plagiarism or test set leakage has occured. To participate, please visit the competition website at: https://ariel-datachallenge.azurewebsites.net/ML and follow the instructions to learn details about the problem, data, submission format, evaluation protocol and the baseline solution. *** Important dates *** (All times are in AoE time) * April 15th, 2019: Beginning of the competition, release of training dataset and test dataset (w/o ground truth). Participants can start submitting model predictions on test set and obtaining immediate feedback in the leaderboard. * Aug 15th, 2019: Competition closes, release of ground truth. Top-ranked participants are invited to submit a brief description of their solution. * Aug 22nd, 2019: Deadline for submitting description of solution. Organisers start checking solutions for plagiarism and test set leakage. * Aug 25th, 2019: Announcement of the competition winners. (Tentative, subject to successful checks and collaboration from participants) * Sept 16th - 20th, 2019: ECML-PKDD 2019. *** Prizes *** The 2 top-ranked participants (provided they beat the baseline) will be awarded with a free registration to the ECML-PKDD 2019, to be held in W?rzburg, Germany, from September 16 - 20, 2019. *** Dissemination of results *** The 5 top-ranked participants (provided they beat the baseline) will be invited to present their solutions at ECML-PKDD 2019, to be held in W?rzburg, Germany, from September 16 - 20, 2019. The authors of solutions that are of interest to the organisers will be invited to participate to larger scale collaborations in the context of the Ariel mission and beyond. *** Organizing team *** Nikolaos Nikolaou - UCL, England - n.nikolaou at ucl.ac.uk - (Main organizer) Ingo P. Waldmann - UCL, England Subhajit Sarkar - University of Cardiff, Wales Angelos Tsiaras - UCL, England Billy Edwards - UCL, England Mario Morvan - UCL, England Kai Hou Yip - UCL, England Giovanna Tinetti - UCL, England *** Contact Email *** For technical issues or questions, please contact us at: exoai.ucl at gmail.com Nikolaos Nikolaou Postdoctoral Researcher Department of Physics & Astronomy, UCL https://nnikolaou.github.io -------------- next part -------------- An HTML attachment was scrubbed... URL: From t.hain at sheffield.ac.uk Wed Apr 17 10:21:07 2019 From: t.hain at sheffield.ac.uk (Thomas Hain) Date: Wed, 17 Apr 2019 15:21:07 +0100 Subject: Connectionists: Lecturer/Senior Lecturer in Speech and Hearing technologies at University of Sheffield In-Reply-To: References: Message-ID: The Speech and Hearing Research Group at the University of Sheffield, UK currently has a job opening to work as a Lecturer/Senior Lecturer in Speech and Hearing technologies. We are looking for enthusiastic and highly skilled candidates that have a keen interest in machine learning as well as speech. Best regards, Thomas -- Dr. Thomas Hain Technical Program Chair Interspeech 2019 Director UKRI Centre for Doctoral Training in Speech & Language Technologies Head of Speech and Hearing Research, University of Sheffield Director Voicebase Centre for Speech & Language Technology Professor of Speech and Audio Technology, University of Sheffield http://www.dcs.shef.ac.uk/~th ===================== 1. Lecturer or Senior Lecturer in Speech and Hearing technologies. The group currently has interests that span speech recognition, speech enhancement and source separation, diarisation, speaker and language identification, language learning, assistive robotics and media application of speech technology, spoken dialogue systems and downstream integration such as machine translation, summarisation, and speech analytics. You may have a research profile that supports these areas or complements them. Candidates with strong additional interest in machine learning are particularly encouraged to apply. More details can be found at: https://www.jobs.ac.uk/job/BRD606/lecturer-senior-lecturer-in-speech-and-hearing-technologies -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.gomez.rodriguez at gmail.com Thu Apr 18 01:21:33 2019 From: m.gomez.rodriguez at gmail.com (Manuel Gomez Rodriguez) Date: Thu, 18 Apr 2019 07:21:33 +0200 Subject: Connectionists: Junior Research Group leader positions at MPI-SWS Message-ID: <5556332E-32AF-4963-9598-A9E72413608E@gmail.com> The Max Planck Institute for Software Systems (MPI-SWS) is inviting applications for Junior Research Group leader positions in systems and machine learning (SysML), human-oriented machine learning (fairness, accountability, transparency, and ethical aspects of AI), adversarial ML, reinforcement learning, human-computer interaction with ML/social aspects, natural language processing, and learning & cognitive sciences. Our Junior Research Group program offers young scientists the opportunity to develop their own research program. The position is funded for 5 years with the possibility of a 2-year extension. Applicants must have completed a doctoral degree in computer science or related areas and must have demonstrated outstanding research vision and potential to successfully lead a research group. Successful candidates are expected to build a highly visible research agenda, to mentor junior scientists, and to participate in collaborative projects. The Max Planck Institute for Software Systems is located in Saarbruecken and Kaiserslautern in Germany. We maintain an open, international, and diverse work environment and seek applications from outstanding researchers regardless of national origin. Our working language is English. We collaborate with several major research institutions worldwide and have high international visibility. There is generous travel, administrative, and technical support available for all group members. Please apply at https://apply.mpi-sws.org/ under ``Research Group Leader''. You need to upload your CV, a research plan, an optional teaching statement, and 3-5 references. Reviewing of applications will commence on 15 May 2019 and will continue until the positions are filled. The expecting starting date for the position is Fall 2019. Informal inquiries can be addressed to applications-sis at mpi-sws.org . The Max Planck Society is committed to employing more individuals with disabilities and expressly welcomes them to apply. The Max Planck Society seeks to increase the percentage of women in the areas where they are underrepresented and expressly welcomes them to apply. -------------- next part -------------- An HTML attachment was scrubbed... URL: From rothkopf at fias.uni-frankfurt.de Thu Apr 18 04:58:06 2019 From: rothkopf at fias.uni-frankfurt.de (Constantin Rothkopf) Date: Thu, 18 Apr 2019 10:58:06 +0200 Subject: Connectionists: PhD position - Inverse Reinforcement Learning Message-ID: <00b60be3-6d04-0f97-5014-a8b5e21ad9b8@fias.uni-frankfurt.de> The Centre for Cognitive Science at Technische Universitaet Darmstadt, Germany invites applications for a Ph.D. Position in Inverse Reinforcement Learning initially limited to a period of three years. Research area The Ph.D. student is expected to work in the domain of inverse reinforcement learning with the particular focus of elucidating human decision making and collective human decision making in the wild, i.e., under real world noisy conditions. The research project is a joint venture between the Bioinspired Communication Lab and the Psychology of Information Processing Lab, both members of the Centre of Cognitive Science at TU Darmstadt. Accordingly, the student will be advised by Prof. Heinz Koeppl, Department of Electrical Engineering and Prof. Constantin Rothkopf, Department of Psychology. Work will involve methodological research in machine learning, design of dedicated human behavioral experiments, and the analysis and further processing of gathered data. What we offer We offer a unique interdisciplinary environment to perform cutting-edge research at one of Germany?s leading universities in the domain of computer science and engineering. The student will be embedded in the ongoing research activities within the Centre for Cognitive Science and will hence have the opportunity to interact with many other cognitive science researchers. The conducted research is expected to culminate in a Ph.D. degree. We offer comprehensive support for dissemination of results through leading scientific journals and through participation in leading international conferences and workshops. Your profile Candidates should have a M.Sc. degree in one of the following fields: computer science, physics, mathematics, engineering, or cognitive science. Candidates are required to have a sincere interest in interdisciplinary research at the crossroad of psychology and computer science. Application We look forward to receiving your application, consisting of a cover letter in which you lay out your interest in the indicated research area, curriculum vitae, copies of certificates and contact details of at least two academic references. Please send your application package as a single PDF file to application at bcs.tu-darmstadt.de. Code No. 590. The position is initially advertised till May 3rd 2019, but later applications will be considered until the position is filled. -- Constantin A. Rothkopf, PhD http://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ http://www.ai-da.tu-darmstadt.de/ From k.tsetsos at uke.de Thu Apr 18 13:34:26 2019 From: k.tsetsos at uke.de (Konstantinos Tsetsos) Date: Thu, 18 Apr 2019 19:34:26 +0200 Subject: Connectionists: Postdoc positions on decision-making in Hamburg Message-ID: <5FD95394-5D65-4B01-A32C-9051641B4FD1@uke.de> The University Medical Center Hamburg-Eppendorf (UKE, Hamburg, Germany) is inviting highly qualified and motivated candidates to apply for two 3-year postdoctoral positions embedded in the recently established ?Decision Neuroscience Group? at the Department of Neurophysiology and Pathophysiology, led by Konstantinos Tsetsos. These positions are part of the European Research Council (ERC) Starting Grant ?Information Sampling in Multiattribute Choice? (INFOSAMPLE) awarded to Konstantinos Tsetsos. This project will utilise tools from sensory neuroscience in order to characterise how humans distribute their attention across time during multiattribute decisions. Using this approach we aspire to understand why humans reverse their preferences irrationally, when irrelevant alternatives are added to the choice-set. The postdoctoral researchers will be involved in designing and conducting psychophysical experiments using MEG and pharmacology, in analysing MEG data, and in working with computational models of attention & decision-making. A sufficiently strong quantitative background is required for both positions. Experience with ICA, source reconstruction, frequency tagging (SSVEP) and decoding techniques is desirable. Lack of exposure to these techniques can be compensated with experience in attention/ visual search or decision-making research. The positions are available for three years and may start on the 01.06.2019 or the soonest possible after that date. The positions will be remunerated at salary level E13 TV-KAH, 100%. Applicants should send their CV and publication list, a brief statement of research interests as well as the names of two referees to Dr Konstantinos Tsetsos (k.tsetsos at uke.de) until the 10th of May, 2019. Informal inquiries about the positions can also be addressed to K. Tsetsos. Shortlisted candidates will be invited for an interview. Information about the lab: https://www.ktsetsoslab.net Further details as well as information on how to apply: https://bit.ly/2XXWlWD Best wishes, Konstantinos Sent from my iPhone -- _____________________________________________________________________ Universit?tsklinikum Hamburg-Eppendorf; K?rperschaft des ?ffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Burkhard G?ke (Vorsitzender), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Pr?l?, Marya Verdel _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeanpascal.pfister at gmail.com Thu Apr 18 10:18:28 2019 From: jeanpascal.pfister at gmail.com (Jean-Pascal Pfister) Date: Thu, 18 Apr 2019 16:18:28 +0200 Subject: Connectionists: Postdoctoral position in computational neuroscience Message-ID: <69883D53-396A-4037-AD6F-3ADDF175998C@pyl.unibe.ch> The Department of Physiology, University of Bern, is looking to hire a theoretical and/or computational neuroscientist at the postdoctoral level. A PhD in computational/theoretical neuroscience or a closely related field, along with a desire to work with experimental data would be strongly recommended. Ideally the candidate will take an exploratory approach to analyzing neuronal population dynamics acquired at the single cell resolution, with the goal of identifying potential novel principles of cortical brain function. The ability to propose and test novel computational theories through experimentally testable approaches is highly desirable, and a close collaborative interaction with the experimentalists is envisaged. Within the department, the research groups of Thomas Nevian, Shankar Sachidhanandam and St?phane Ciocchi work on cortical function, ranging from sensory perception and predictive processing to emotional state transitions and memory formation observed during the development of chronic pain or the generation of anxiety states. These groups work with head-fixed and freely moving mice, using recording techniques spanning population level 2-photon calcium imaging at cellular resolution to single unit multielectrode recordings. The candidate can further benefit from interactions with the computational and theoretical groups of Walter Senn and Jean-Pascal Pfister established within the department, specializing in deep learning and Bayesian modeling respectively. Interested candidates can send their application via email to sachidhanandam at pyl.unibe.ch, nevian at pyl.unibe.ch and pfister at pyl.unibe.ch. The application should include the following as one pdf document: letter of motivation, CV, contact details of 2 references, 1-2 page research statement covering future research goals and project interests. The position is currently funded for a duration of 3 years with the possibility of extension. Deadline for application is the 31st of May 2019 or until the position is filled. For further information, please contact Dr. Shankar Sachidhanandam, Prof. Thomas Nevian or Prof. Jean-Pascal Pfister. --------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland and Department of Physiology University of Bern B?hlplatz 5 3012 Bern, Switzerland www.ini.uzh.ch/~jpfister Tel: ++ 41 31 631 87 78 -------------- next part -------------- An HTML attachment was scrubbed... URL: From jan.fousek at univ-amu.fr Thu Apr 18 10:28:10 2019 From: jan.fousek at univ-amu.fr (Jan Fousek) Date: Thu, 18 Apr 2019 16:28:10 +0200 Subject: Connectionists: Postdoc in large-scale brain modeling and machine learning Message-ID: A postdoc position is available at the Institut de Neurosciences des Syst?mes (http://ins-amu.fr/), Aix-Marseille University, France. Summary The Theoretical Neuroscience Group (Head: Viktor Jirsa) is seeking to fill a post-doctoral position in the context of the project Virtual Brain Cloud to work on development of parameter inference workflows for connectome-based large-scale brain network models (see The Virtual Brain http://www.thevirtualbrain.org) applied to brain imaging data (EEG, MEG, fMRI). In particular, the project will involve the application and evaluation of common Bayesian estimation techniques such as Markov-Chain Monte-Carlo and variational schemes to high-dimensional time-series models of brain activity. These were previously successfully applied in the context of estimation of brain excitability based on personalized brain models and intracerebral electrophysiological recordings of seizure propagation in epileptic patients. The successful candidate will join a team working towards generalizing these approaches for other paradigms such as stimulation or resting state. Qualification Candidates should be have strong background in data fitting (Bayesian inference approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques). Experience with computational neuroscience (networks, dynamic system theory) and ability to program in a numerically oriented language (R, Python, MATLAB) are valued. The Theoretical Neuroscience Group We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. Terms of salary and employment The position is initially for one year, renewable on an annual basis based on performance. Salary will depend on diploma and experience. Operating language in the laboratory is English and French. CONTACT viktor.jirsa at univ-amu.fr | Institut de Neurosciences des Syst?mes https://ins-amu.fr/ -- Jan Fousek INS - Institut de Neurosciences des Syst?mes UMR INSERM 1106, Aix-Marseille Universit? 27 Bd Jean Moulin, 13005 Marseille https://ins-amu.fr/ From dboscaini at fbk.eu Fri Apr 19 07:44:36 2019 From: dboscaini at fbk.eu (Davide Boscaini) Date: Fri, 19 Apr 2019 13:44:36 +0200 Subject: Connectionists: ICIAP 2019 - Paper submission deadline extended to 6th May 2019 Message-ID: Dear colleagues, we are pleased to announce you that the paper submission deadline for ICIAP 2019 has been extended to May 6, 2019. Call for Papers ICIAP 2019 (https://event.unitn.it/iciap2019) is the 20th edition of a series of conferences organized biennially by the Italian Member Society (CVPL, ex GIRPR) of the International Association for Pattern Recognition (IAPR). The event will be co-located with the 13th edition of the ACM International Conference on Distributed Smart Cameras (ICDSC) ( http://icdsc.org). The focus of the conference is on both classic and recent trends in computer vision, pattern recognition and image processing, and covers both theoretical and applicative aspects, with particular emphasis on the following topics: * Video Analysis & Understanding * Pattern Recognition and Machine Learning * Deep Learning * Multi-view Geometry and 3D Computer Vision * Image Analysis, Detection and Recognition * Multimedia * Biomedical and Assistive Technology * Digital Forensics * Image Processing for Cultural Heritage The conference is structured in oral and poster sessions and offers invited lectures from distinguished speakers. Satellite workshops and tutorials are also organized. Accepted papers will be included in the ICIAP 2019 Conference Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS). Every accepted paper requires at least one author registered with regular registration fee and presenting the work at the conference. The conference will be held in Trento, Italy on 9-13 September, 2019. Dates: * Main Conference: 11-13th September 2019 * Workshop and Tutorials: 9-10th September 2019 * Full paper submission: 12th April 2019 (extended to 6th May 2019) * Notification of acceptance: 7th June 2019 * Camera ready submission: 21st June 2019 Submission: The maximum number of pages is 10 + 1 page containing only references. Papers will be selected by a review process. Authors of ICIAP 2019 papers can find complete instructions of how to format their papers in the conference webpage ( https://event.unitn.it/iciap2019). Springer?s proceedings LaTeX templates are available in Overleaf. Springer encourages authors to include their ORCIDs in their papers. Additional information can be found in "Springer LNCS ? Information for Authors of Computer Science Publications". Papers can be submitted using the CMT available at https://cmt3.research.microsoft.com. When submitting the camera ready, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign the Consent-to-Publish form, through which the copyright for their paper is transferred to Springer. -- -- Le informazioni contenute nella presente comunicazione sono di natura? privata e come tali sono da considerarsi riservate ed indirizzate? esclusivamente ai destinatari indicati e per le finalit? strettamente? legate al relativo contenuto. Se avete ricevuto questo messaggio per? errore, vi preghiamo di eliminarlo e di inviare una comunicazione? all?indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.zock at lis-lab.fr Fri Apr 19 07:56:57 2019 From: michael.zock at lis-lab.fr (Michael Zock) Date: Fri, 19 Apr 2019 13:56:57 +0200 Subject: Connectionists: AIxRoad (A.I. at the Crossroads of NLP and Neuroscience) ----Deadline extended to May 12---- (IJCAI workshop, Macao, august, 2019) Message-ID: <4a64baf2-1074-8b5b-b478-f4b1eeda06cd@lis-lab.fr> --- DeadlineExtendedto May 12--- A.I. at the Crossroads of NLPand Neuroscience (AIxRoads) https://sites.google.com/view/ijcai-ws928-aixroads/home__ __ 1Workshop Description AIxRoadsis a one-day workshop to be held in Macao in August (10/11/12, 2019), in conjunction with the 28th /International Joint Conference of Artificial Intelligence/(https://ijcai19.org). After many years of experimentation in research labs, Artificial Intelligence (AI) has moved into the arena of the real world. AI systems are currently used in many domains (e.g., medicine, finances and communication), outperforming humans in a broad range of acoustic-, visual- and natural language tasks. This success may have several reasons: (a) the growth of computational resources and storage devices, (b) the availability of huge amounts of data (Internet), and (c) the development of smart learning algorithms. Progress is also due to the fact that researchers have managed to leverage and integrate discoveries made in disciplines that seemingly had little in common (Linguistics, Psychology, Mathematics, and Neuroscience). Different as they may be, these disciplines turn out to be complementary, yielding a virtuous circle, which is an asset, allowing?us not only to build 'smart' artifacts, but also to improve our understanding of the human mind. Finally, nature played an important role, as it inspired researchers by providing a model that, in order to be turned into?sophisticated working solutions had to be understood, formalized and recast in engineering terms. Neural networks are a good example of this process as they represent a loose, yet very effective, imitation of the neural system. State-of-the-art neural architectures, such as Convolutional Neural Networks and Transformers, are directly inspired by biological (e.g., visual cortex) and cognitive (e.g., attention processes) models. The goal of this workshop is to stimulate cross-fertilization between the different communities of the AI universe (e.g., Mathematicians, Linguists, Cognitive Scientists, Neuroscientists) in order to identify the knowledge needed to bridge the gap between Natural and Artificial Intelligence. More precisely, we would like to discuss whether and how the usage of knowledge concerning the human brain may enable engineers to produce better software. Here are some of the questions for which we would like to find answers: * Can we get machines to learn as ordinary people do? Children induce rules on the basis of very few examples, containing even noisy data (few-shot learning; learning of abstractions). Can we replicate this performance by a machine? * How can the learned knowledge be reused for new tasks? * How to improve the interaction between humans and machines? * Can knowledge of the brain mechanisms involving intelligence (sound, vision and language) help us to develop better architectures? * In what ways can the techniques developed in AI inspire cognitive scientists to get new ideas/theories, or, to help them to refine existing ones? * Is there a way for AI to exploit embodied representations ? * How can AI help us to solve problems in other disciplines, for example, NLP? * Can we make Natural and Artificial Intelligence cooperate in problem-solving, or, should the two be applied separately ? * If there is an interaction between the two, what should this look like? What are the interfaces and workflows? * What are the benefits for AI to mimic humans or the human mind while processing language? * Where in the development cycle and how shall AI engineers consider specific human aspects, such as the human brain/mind? * Specificities of humans and machines: how relevant is deep learning in modeling human thought? * Do we still need theories in the age of deep learning? Are there ways to interpret their results? * Is it possible to build a glass box and open the neural network black box? * What can NLP practitioners learn from network science (complex graphs)? * Can machines liberate us from the boring and mechanical aspects of problem-solving (logical proofs), to allow us to focus more on the creative aspects of the task? * How to build AI augmenting human intelligence, or, how to use human intelligence to augment AI? * Can we impose order and logic on an unordered set of ideas, by detecting the nature of the links between them automatically, to help authors in producing coherent texts? 2Workshop Submissions We accept regular workshop papers, which will be included in the proceedings pending acceptance. All submissions should be in PDF format, and be submitted via the following website: https://easychair.org/conferences/?conf=aixroads2019. If you don?t have already an account with them, you will have to create one (https://easychair.org/account/signup.cgi). To allow for double-blind reviewing, the manuscripts should be devoid of information allowing author identification. Paper formats should comply with the IJCAI 2019 style sheets, available at: https://www.ijcai.org/authors_kit. * Regular Submissions Papers can be either full (8 pages of content + references) or short papers (4 pages + references) reporting original and unpublished research relevant for this workshop. * Accepted papers are expected to be presented by one of the authors at the workshop (oral presentation or poster). It is only under this condition that they will be included in the workshop proceedings. If the same paper has been submitted to multiple conferences / workshops, the authors are asked to point this out at submission time. For papers to be presented at this workshop, they must be withdrawn from other venues. 3Important Dates * Submission deadline: May 12, 2019(11.59 p.m., UTC-12h) * Notification of acceptance: May 27, 2019 * Camera-ready version due: June 10, 2019 * Workshop date: **Aug 10-12, 2019 (one out of these three) 4Workshop Organizers * Michael Zock (CNRS, LIS, AMU, Marseille, France), psycholinguist * Yoed N. Kenett (University of Pennsylvania, Philadelphia, PA, USA), neuroscientist * Enrico Santus (MIT, CSAIL, Boson, USA), computational linguist * Mingyu Wan (The Hong Kong Polytechnic University), computational linguist * Emmanuele Chersoni (The Hong Kong Polytechnic University), computational linguist 5Program Committee * Bellot, Patrice (LPL, Aix-Marseille Universit?, France) * Bieman, Chris (Language Technology group, Universit?t Hamburg, Germany) * Blache, Philippe (CNRS, Aix-Marseille Universit?, France) * Briot, Jean Pierre (LIP6, CNRS, Paris, France, and PUC-Rio, Rio de Janeiro, Brazil) * Carl, Michael (Kent State University, Cleveland, Ohio, USA) * Chersoni, Emmanuele (The Hong Kong Polytechnic University, China) * deDeyne, Simon (School of Psychological Sciences, University of Melbourne, Australia) * de Melo, Gerard (Rutgers University, USA) * Espinosa-Anke, Luis (COMSC, Cardiff University, UK) * Ferret, Olivier (CEA LIST, France) * Grefenstette, Gregory (Institute for Human & Machine Cognition, Florida, USA) * Herbelot, Aur?lie (Center for Mind/Brain Sciences,?University of Trento,?Italy) * Hovy, Eduard (CMU, Pittsburgh, USA) * Kenett, Yoed N. (University of Pennsylvania, Philadelphia PA, USA) * Lafourcade, Matthieu (LIRMM, universit? de Montpellier, France) * Langlais, Philippe (DIRO/RALI, University of Montreal, Canada) * Lapalme, Guy (RALI, University of Montreal, Canada) * Lee, John (City University of Hong Kong, China) * Lenci, Alessandro (University of Pisa, Italy) * Pad?, Sebastian (Universit?t Stuttgart, Germany) * Panchenko, Alexander (Language Technology group, Universit?t Hamburg, Germany) * Pease, Adam (InfoSys, Palo Alto,CA, ?USA) * Pirrelli, Vito (ILC, Pisa, Italy) * Rosso, Paolo (NLEL, Universitat Polit?cnica de Val?ncia, Spain) * Sahlgren, Magnus (SICS, Smart AI, Sweden) * Santus, Enrico (MIT, CSAIL, Boston, USA) * Schwab, Didier (LIG, Grenoble, France) * Schulte im Walde, Sabine (Universit?t Stuttgart Germany) * Shams, Zohreh (Computer Laboratory - University of Cambridge, UK) * Stella, Massimo ((Complex Science Consulting, Lecce, Italy) * Strapparava, Carlo (Fondazione Bruno Kessler, Trento, Italy) * Sun Weiwei (Institute of Computer Science & Technology, Peking University, China) * Tokunaga, Takenobu (TITECH, Tokyo, Japan) * Trandabant Diana (Al. I. Cuza University, Iasi, Romania) * Tufis, Dan (RACAI, Bucharest, Romania) * Wan, Mingyu (The Hong Kong Polytechnic University, China) * Winniwarter, Werner (Computer Science, University of Vienna, Austria) * Zock, Michael (CNRS, LIS-AMU, Marseille, France) 7Contact Information e-mail: michael.zock at lis-lab.fr ) Homepage: http://pageperso.lif.univ-mrs.fr/~michael.zock/ Phone: +33 951-899-707 Skype: mikazock To be sure to have the most recent information, take a look at the workshop?s homepage (https://sites.google.com/view/ijcai-ws928-AIxRoads/home). -- ---------------------------------------- Michael ZOCK Directeur de Recherche ?m?rite LIS UMR CNRS 7020 (Groupe TALEP) Aix Marseilly Universit? 163 Avenue de Luminy - case 901 F-13288 Marseille/France Mail: michael.zock at lis-lab.fr Tel.:? +33 (0)4.86.09.06.85 Secr.: +33 (0)4.86.09.04.60 ??? ?? +33 (0)4.86.09.06.75 http://pageperso.lif.univ-mrs.fr/~michael.zock/ ------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From shobeir at gmail.com Fri Apr 19 16:53:16 2019 From: shobeir at gmail.com (Shobeir Fakhraei) Date: Fri, 19 Apr 2019 13:53:16 -0700 Subject: Connectionists: [CFP] ACM KDD MLG'19 -- 15th International Workshop on Mining and Learning with Graphs Message-ID: 15th International Workshop on Mining and Learning with Graphs (MLG 2019) August 6, 2019 Anchorage, Alaska, USA (co-located with KDD 2019) http://www.mlgworkshop.org/2019/ Deadlines: (Abstract) May 5, 2019 - (Submission) May 15, 2019 Call for papers: This workshop is a forum for exchanging ideas and methods for mining and learning with graphs, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances graph analysis. In doing so, we aim to better understand the overarching principles and the limitations of our current methods and to inspire research on new algorithms and techniques for mining and learning with graphs. To reflect the broad scope of work on mining and learning with graphs, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation, to applications and empirical studies. As an example, the growth of user-generated content on blogs, discussion forums, product reviews, etc., has given rise to a host of new opportunities for graph mining in the analysis of social media. We encourage submissions on theory, methods, and applications focusing on a broad range of graph-based approaches in various domains. Topics of interest include, but are not limited to: Theoretical aspects: - Computational or statistical learning theory related to graphs - Theoretical analysis of graph algorithms or models - Sampling and evaluation issues in graph algorithms - Analysis of dynamic graphs Algorithms and methods: - Graph mining - Probabilistic and graphical models for structured data - Heterogeneous/multi-model graph analysis - Network embedding models - Statistical models of graph structure - Combinatorial graph methods - Semi-supervised learning, active learning, transductive inference, and transfer learning in the context of graphs Applications and analysis: - Analysis of social media - Analysis of biological networks - Knowledge graph construction - Large-scale analysis and modeling All papers will be peer reviewed, single-blinded. We welcome many kinds of papers, such as, but not limited to: - Novel research papers - Demo papers - Work-in-progress papers - Visionary papers (white papers) - Appraisal papers of existing methods and tools (e.g., lessons learned) - Relevant work that has been previously published - Work that will be presented at the main conference Authors should clearly indicate in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions. Submissions must be in PDF, no more than 8 pages long ? shorter papers are welcome ? and formatted according to the standard double-column ACM Proceedings Style . The accepted papers will be published on the workshop?s website and will not be considered archival for resubmission purposes. Authors whose papers are accepted to the workshop will have the opportunity to participate in a spotlight and poster session, and some set will also be chosen for oral presentation. Timeline: Paper Abstract Deadline: May 5, 2019 Paper Submission Deadline: May 12, 2019 Author Notification: June 1, 2019 Camera Ready: June 22, 2019 Submission instructions can be found on http://www.mlgworkshop.org/2019/ Please send enquiries to chair at mlgworkshop.org Organizers: Shobeir Fakhraei (University of Southern California, ISI) Aude Hofleitner (Facebook) Danai Koutra (University of Michigan, Ann Arbor) Julian McAuley (University of California, San Diego) Bryan Perozzi (Google Research) Tim Weninger (University of Notre Dame) To receive updates about the current and future workshops and the Graph Mining community, please join the mailing list: https://groups.google.com/d/forum/mlg-list or follow the twitter account: https://twitter.com/mlgworkshop We look forward to seeing you at the workshop! -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Fri Apr 19 10:31:29 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Fri, 19 Apr 2019 10:31:29 -0400 Subject: Connectionists: FINAL NOTICE: ECEM'19 abstract submission deadline on Monday, April 22nd! In-Reply-To: <01b501d4f6bb$feff2bc0$fcfd8340$@neuralcorrelate.com> References: <019c01d4f6bb$da090b10$8e1b2130$@neuralcorrelate.com> <01b501d4f6bb$feff2bc0$fcfd8340$@neuralcorrelate.com> Message-ID: <01ef01d4f6bc$96fdd890$c4f989b0$@neuralcorrelate.com> Dear Colleagues, The abstract submission deadline for the 2019 European Conference on Eye Movements (ECEM) is on Monday, April 22nd! You still have time to submit an abstract for an oral or poster presentation in beautiful Alicante, Spain! Full details at: http://www.ecem2019.com/index.php/abstracts/abstracts-guidelines. Accepted abstracts will be published as a special issue in the Journal of Eye Movement Research (Editor: Rudolf Groner, Bern). ECEM 2017?s abstracts are available at: https://bop.unibe.ch/JEMR/issue/view/779 Don?t forget to register for ECEM?19 by the early registration deadline (June 17th) and save on fees: http://ecem2019.com/index.php/registration/registration ECEM 2019 will feature six world-renowned keynote speakers: Jennifer Groh (Duke University) Hamutal Slovin (Bar Ilan University) Martin Rolfs (Humboldt University of Berlin) Janet Rucker (New York University) Enkelejda Kasneci (University of T?bingen) Antje Nuthmann (University of Kiel) http://ecem2019.com/index.php/programme/keynotes ECEM 2019 will include nine symposia: What Eyes Tell Us About Child Sensorimotor and Cognitive Development Chair: Nadia Alahyane (Queen?s University, Kingston, ON, Canada) Eye Movements During the Reading of Narrative and Poetic Text Chairs: Jana L?dtke and Arthur M. Jacobs (Freie Universit?t Berlin, Germany) Eyes Wide Shut: gaze dynamics without vision Chair: Susana Martinez-Conde (State University of New York, Downstate Medical Center, NY, USA) Eye Movements in Developing Readers: from basic research to classroom application Chair: Alexandra Spichtig (Reading Plus, USA) >From Lab-Based Studies to Eye-Tracking in Virtual and Real Worlds: conceptual and methodological problems and solutions Chair: Roy Hessels (Utrecht University, the Netherlands) Recent Advances in Research on the ?Looking at Nothing? Phenomenon Chair: Agnes Rosner and Roger Johansson (University of Zurich, Switzerland, and Lund University, Sweden) 3-D Binocular Motor Control and Health Chair: Zo? Kapoula (CNRS FR3636, UFR Biom?dicale, University Paris Descartes, France) Word Processing Across Space and Time During Reading: insights from eye tracking, electrophysiology, and computational modeling Chair: Elizabeth Schotter and Brennan Payne (University of South Florida and University of Utah, USA) Progress in Neurophysiology and Oculomotor Psychophysics: contributions and influence of Jan van Gisbergen (1943-2019) Chair: John van Opstal (Radboud University Nijmegen, Netherlands) ECEM 2019 will be in Alicante, Spain (August 18-22) Alicante, with more than 320,000 inhabitants, is a traditional maritime city located on the Mediterranean Sea. The old part of the city encompasses Postiguet Beach, two marinas and a large commercial port. The city embraces an imposing 166-meter rocky hill right next to the sea, Monte Benacantil, crowned by The Castillo de Santa B?rbara (Santa Barbara Castle). This is one of the largest castles on the Mediterranean, and the conference dinner will take place within its premises, with breathtaking views over the city and the Mediterranean. The slopes of Monte Benacantil surround the old city of Alicante (El Barrio) like a shield. El Barrio is well known for its vibrant nightlife. The local organizing team has secured a large block of hotel rooms at special discounted rates for the conference. Specific hotel information will be made available on the website in March 2019. Lodging in the area is reasonably priced, but accommodations can become limited in the high summer season. We advise early hotel reservation. On Behalf of the Local Organization Committee Please share this information with your colleagues. We look forward to welcoming you to Alicante!! Luis Martinez-Otero (chair), Albert Compte, and Susana Martinez-Conde -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From senthilxkumar at gmail.com Fri Apr 19 19:07:32 2019 From: senthilxkumar at gmail.com (Senthil Kumar) Date: Fri, 19 Apr 2019 19:07:32 -0400 Subject: Connectionists: KDD Workshop on Anomaly Detection in Finance Message-ID: 2nd KDD Workshop on Anomaly Detection in Finance Summary Detecting anomalies and novel events is vital to the financial industry. These events are often indicative of illegal activities such as credit card fraud, identity theft, network intrusion and money laundering. Left unchecked, these activities can cause poor customer experiences and billions of dollars in losses. In addition to these activities, a new threat is emerging in the form of fake news in financial media outlets that can lead to distortions in trading strategies and investment decisions. A number of new techniques are emerging to tackle these problems including semi-supervised learning methods, deep learning algorithms, network/graph based solutions as well as linguistic approaches. These methods must often be able to work in real-time and be able to handle large volumes of data. The purpose of this workshop is to bring together researchers and practitioners to discuss both the problems faced by the financial industry and potential solutions. Organizers: - Leman Akoglu, Carnegie Mellon University - Nitesh Chawla, University of Notre Dame - Senthil Kumar, Capital One - Prabhanjan (Anju) Kambadur, Bloomberg - Tanveer Faruquie, Capital One - Saurabh Negracha, Capital One Call for Papers We invite papers on anomaly and novelty detection with applications for the financial industry. Topics of interest include, but are not limited to, the following: Business problems: ? *Financial Crimes:* - Anti-money laundering - Fraudulent transactions - Identity theft and fake account registration - Promotion credit abuse - Account takeover - Insurance fraud ? *Risk Modeling* - Enhanced risk modeling - Regulation-aware feature engineering - Monitoring ? *Other applications* - Fake news - Social media mining - Early detection of emerging phenomena - Manipulation in cryptocurrency markets Technical problems: ? *Semi-supervised anomaly detection (aka Novelty Detection): * - Data available for training does not contain any anomalies and represents expected operation of the system. - The algorithm classifies everything that does not fit in description of the previously seen data as a ?novelty?. ? *Unsupervised anomaly detection (aka Outlier Detection): * - Data available for training may contain anomalies, which are assumed to be rare. - Anomalies detected by the algorithm are considered to be ?outliers? relative to the majority of available data. ? *Explainable models for anomaly detection* - Models that can explain their decisions in interpretable ways - Post-hoc methods that can be used to explain outputs of other detection algorithms ? *Human-in-the-loop anomaly detection * - Interactive ranking techniques - Methods that can handle exploration-exploitation trade-off - Novel human feedback gathering strategies beyond labeling ? *Adversarially-robust detection* - Methods that are provably robust to evasion and camouflage - Evasion-cost aware fraud and intrusion detection - Analysis of evasion schemes and camouflage mechanisms We also invite tutorials and introductory papers to bridge the gap between academia and the financial industry: *Overview of Industry Challenges* - Short papers from financial industry practitioners that introduce domain specific problems and challenges to academic researchers. These papers should describe problems that can inspire new research directions in academia, and should serve to bridge the information gap between academia and the financial industry. *Algorithmic Tutorials* - Short tutorials from academic researchers that explain current solutions to challenges related to anomaly detection, not necessarily limited to the financial domain. These tutorials will serve as an introduction and enable financial industry practitioners to employ/adapt latest academic research to their use-cases. Submission Guidelines: All submissions must be PDFs formatted in the Standard ACM Conference Proceedings Template . Submissions are limited to *8 content pages *or less, including all figures and tables but excluding references. All accepted papers will be presented as posters; some may be selected for oral presentations, depending on schedule constraints. Accepted papers will be posted on the workshop website or, at the authors? request, may be linked to an external repository such as arXiv. Authors should *clearly indicate* in their abstracts the kinds of submissions that the papers belong to, to help reviewers better understand their contributions. *Papers should be submitted on CMT3 by May 12, 2019 11:59 PM Pacific Time* *https://cmt3.research.microsoft.com/ADF2019* Key dates - *Submission deadline: May 12, 2019 11:59 PM Pacific Time* *at https://cmt3.research.microsoft.com/ADF2019 * - Author notification: June 1*, *2019 - Workshop: August 5, 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sat Apr 20 10:20:51 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Sat, 20 Apr 2019 17:20:51 +0300 Subject: Connectionists: 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020): First Call for Papers Message-ID: *** First Call for Papers *** 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020) Atlantica Miramare 4* Beach Hotel, Limassol, Cyprus January 20-24, 2020 http://cyprusconferences.org/sofsem2020/ *** Submission Deadline: July 29, 2019 *** (Proceedings to be published by Springer) INVITED SPEAKERS (list incomplete) ? Mikolaj Boyanczyk, Poland ? Erol Gelenbe, UK ? Gunnar Klau, Germany ? Elias Koutsoupias, UK SOFSEM (SOFtware SEMinar) is an annual international winter conference devoted to the theory and practice of computer science. The first SOFSEM was organized in 1974. SOFSEM consists of invited talks by prominent researchers, of contributed talks selected from the submitted papers, and of the Student Research Forum. The program is organized in plenary talks and parallel tracks devoted to original research in the selected research areas. SOFSEM has a long-standing tradition of facilitating discussions and collegial interactions. It is well-known for its familiar and inspiring atmosphere and as a meeting place for active and leading computer scientists. SOFSEM is a track-based conference. It features the traditional track on foundations of computer science and a number of other tracks that cover contemporary important areas, such as artificial intelligence, cryptography, security, verification, data science, knowledge engineering, social computing and human factors, software and web engineering, etc. The Track Chairs are soliciting technical papers for presentation at the conference and inclusion in the proceedings published by Springer in the ARCoSS/LNCS series. The topics of the conference are organised in four tracks and the (non exhaustive) list of topics for each track is as follows: Foundations of Computer Science ? Algorithms and data structures ? Automata and formal languages ? Complexity theory ? Computability theory ? Cryptography and security ? Graphs and networks ? Machine learning ? Non-classical models of computing ? Theory of databases, semi-structured data, and finite model theory ? Theory of programming languages Foundations of Software Engineering ? Methods and tools for improved software processes ? Software architecture of complex software-intensive systems ? Requirements Engineering ? Model-based software engineering methods and tools ? Data-driven improvement of methods, models, and tools ? Methods and tools for software engineering applications ? Empirical Software Engineering Foundations of Data Science ? Data Models and Query Languages ? Data Integration and Interoperability ? Query Processing and Optimization ? Distributed, Parallel, and P2P Data Processing and Management ? Data Semantics and Linked Data ? Spatial, Temporal, Multimedia Data ? Web- and Graph-based Data ? Probabilistic and Uncertain Data ? Information Extraction and Retrieval ? Data Privacy, Security, and Trust Foundations of Algorithmic Computational Biology ? Alignment and assembly of sequences ? Biological networks ? Cancer genomics ? Comparative genomics ? Gene expression ? Phylogenetics ? Sequence analysis ? System biology PAPER SUBMISSION Detailed guidelines for submission will appear shortly on the conference web site (https://cyprusconferences.org/sofsem2020/). Papers must be submitted electronically via Easychair in standard Springer format (max 12 pages). Submitted papers will undergo a peer review process. PROCEEDINGS The proceedings will be published by Springer in the ARCoSS/LNCS series. IMPORTANT DATES ? July 29th, 2019: Submission of abstracts ? August 5th, 2019: Submission of full papers ? September 30th, 2019: Notification of Acceptance/Rejection ? November 25th, 2019: Camera Ready Papers, registration deadline ? January 20-24, 2020: Conference Dates ORGANISATION General Chairs ? Yannis Manolopoulos, Open University of Cyprus, Cyprus ? George A. Papadopoulos, University of Cyprus, Cyprus Steering Committee ? Barbara Catania, University of Genova, Italy ? Miroslaw Kutylowski, Wroclaw Uni. of Technology, Poland ? Jan van Leeuwen, Utrecht University, Utrecht, Netherlands ? Tiziana Margaria-Steffen, University of Limerick, Ireland ? Branislav Rovan, Comenius University, Bratislava, Slovakia ? Petr Saloun, Technical University of Ostrava, Czech Republic ? Julius Stuller, Academy of Sciences, Prague, Czech Republic, chair Tracks and Track Chairs ? Foundations of Computer Science: Christos Kapoutsis, Qatar ? Foundations of Data Science: Herodotos Herodotou, Cyprus ? Foundations of Software Engineering, Alexander Chatzigeorgiou, Greece ? Foundations of Algorithmic Computational Biology, Riccardo Dondi, Italy and Florian Sikora, France Student Research Forum Chair ? Theodoros Tzouramanis, Greece Webadmin ? Kyriakos Georgiades, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From Xujuan.Zhou at usq.edu.au Sun Apr 21 05:25:52 2019 From: Xujuan.Zhou at usq.edu.au (Xujuan Zhou) Date: Sun, 21 Apr 2019 09:25:52 +0000 Subject: Connectionists: WI'19 CFPs Message-ID: +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE https://webintelligence2019.com/ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ CALL FOR PAPERS Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance knowledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web's entities, phenomena, and developments. The theme for the WI'19 is "Web Intelligence = AI in the Connected World" The 18th Web Intelligence conference (WI'19) aims to achieve a multi-disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI'19 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Track 1: Web of People * Social networks analytics * Social media and dynamics * User and behavioral modeling * Human centric computing * Opinion mining * Recommendation engines * Sentiment analysis * Crowdsourcing and social data mining * People oriented applications and services Track 2: Web of Data * Data science and machine learning * Big data analytics * Data integration and data provenance * Cognitive models * Computational models * Information search and retrieval * Algorithms and knowledge management * Knowledge bases and semantic networks * Linked data management and analytics * Data driven services and applications Track 3: Web of Things * IoT data analytics * Web infrastructures and devices Mobile web * Distributed systems and devices * Open autonomous systems * Industrial multi-domain web * Streaming data analysis * Smart city applications and services Track 4: Web of Trust * Hidden web analytics * Blockchain analytics and technologies * Web-scale security, integrity, privacy and trust * Web cryptography * Fake content and fraud detection * Web safety and openness * Monetization services and applications Track 5: Web of Health * Personalized health management and analytics * Health data exchange and sharing * Big data in medicine * Wellbeing and healthcare in the digital era * Omics research and trends * Healthcare and medical applications and services IMPORTANT DATES The Program Chairs are soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by ACM. Submissions are encouraged before the next deadlines: Mar 5th, 2019: Workshop Proposals May 12th, 2019: Full Papers; Demo papers; Tutorial proposals June 30th, 2019: Notification of Acceptance/Rejection July 14th, 2019: Final, Camera Ready Papers, Due PAPER SUBMISSION Please follow guidelines: https://wi-lab.com/cyberchair/2019/ wi19/scripts/submit.php?subarea=Wr Papers must be submitted electronically via CyberChair in standard ACM Conference Proceedings format(max 8 pages, templates at https://www.acm.org/publications/proceedings-template). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. General Chairs * Georg Gottlob, UK * Yannis Manolopoulos, Cyprus Program Chairs * Payam Barnaghi, UK * Athena Vakali, Greece Steering Committee Chairs * Jiming Liu, HK, China * Ning Zhong, Japan Track Chairs * Panagiotis Bamidis, Greece * Marios Dikaiakos, Cyprus * Elena Ferrari, Italy * Josiane Xavier Parreira, Ireland * Herman Purohit, USA Workshop Chairs * Dimitrios Katsaros, Greece * Rahul Pandey, USA Demo Chairs * Amelie Gyrard, USA * George Pallis, Cyprus Proceedings Editor * Theodoros Tzouramanis, Greece Publicity Chairs * Karin Becker, Brasil * Leonidas Anthopoulos, Greece * Yang Liu, Hong Kong * Xujuan Zhou, Australia * Muhammad Abulaish, India Dr. Susan Xujuan Zhou Senior Lecturer (Information Systems) School of Management & Enterprise | University of Southern Queensland Sinnathamby Boulevard | Springfield Central QLD 4300 | Australia Phone: +61 7 3470 4625 Email: xujuan.zhou at usq.edu.au _____________________________________________________________ This email (including any attached files) is confidential and is for the intended recipient(s) only. If you received this email by mistake, please, as a courtesy, tell the sender, then delete this email. The views and opinions are the originator's and do not necessarily reflect those of the University of Southern Queensland. Although all reasonable precautions were taken to ensure that this email contained no viruses at the time it was sent we accept no liability for any losses arising from its receipt. The University of Southern Queensland is a registered provider of education with the Australian Government. (CRICOS Institution Code QLD 00244B / NSW 02225M, TEQSA PRV12081 ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From avellido at cs.upc.edu Sun Apr 21 13:15:08 2019 From: avellido at cs.upc.edu (Alfredo Vellido) Date: Sun, 21 Apr 2019 19:15:08 +0200 Subject: Connectionists: WSOM+2019, Barcelona, Spain: CALL FOR PARTICIPATION Message-ID: [Our apologies if you received multiple copies of this message] =============================================================== *CALL FOR PARTICIPATION ********* ** **************** **WSOM+ 2019** **************** **13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization** **Barcelona, Spain, 26-28 June 2019* https://wsom2019.cs.upc.edu wsom2019 at easychair.org Barcelona awaits your participation in the 13th WSOM+ conference! This is a welcoming and inclusive city, home to thriving Machine Learning and Computational Intelligence communities. Hosted by the Intelligent Data Science and Artificial Intelligence (IDEAI) Research Center at Universitat Polit?cnica de Catalunya (UPC BarcelonaTech), WSOM+ 2019 aims to build on a successful string of editions that started more than two decades ago with WSOM?97 in Helsinki. The conference is meant to be an international reference for research in unsupervised learning, self-organizing systems, Learning Vector Quantization and data visualization. For full details on dates, registration, venue, committees, and the city at large, please visit https://wsom2019.cs.upc.edu Meet us in the Barcelona summer! **** REGISTRATION **** Take advantage of the *MAY 12th EARLY BIRD REGISTRATION RATES*. The WSOM+2019 Registration System is available @ https://wsom2019.cs.upc.edu/registration/ **** INVITED SPEAKERS **** Paulo J.G. Lisboa, Head of Department of Applied Mathematics at Liverpool John Moores University, U.K. "Unsupervised ML in Sports Analytics" Tobias Schreck, Institute for Computer Graphics and Knowledge Visualization at the Faculty for Computer Science and Biomedical Engineering of TU Graz, Austria "Visual Analytics Techniques for Data Exploration: Visual Cluster Analysis, Interactive Data Modeling, and User Guidance" A?da Valls, Department of Computer Science and Mathematics, Universitat Rovira i Virgili (URV), Tarragona, Spain. "Ontology-based Clustering for Managing Semantic Data and its Use in Tourism Applications" Alessandro Sperduti, Dipartimento di Matematica Pura ed Applicata, Universita degli Studi di Padova, Italy. "convolutional Neural Networks for Graphs" **** SOCIAL EVENTS **** A welcome cocktail by the beach to get in the mood, after the first day of the conference (June 26th). It will happen at the Barcelona Biomedical Research Park (PRBB, http://www.prbb.org) Gala Dinner at Palau Requesens, a Gothic palace built on top of the ancient Roman walls of Barcino. Right at the heart of the old city and, you might say, at the heart of Catalan culture. Guided tour of Barcelona city center. **** VENUE **** The city of Barcelona is the second largest city in Spain, and the capital of Catalonia, with a population of 1,7 million inhabitants and 3 million in the metropolitan area. Its cultural richness, vibrant life, and splendid location has made it one of the most visited cities in the world, with over 4 million visitors per year (http://www.barcelonaturisme.com/wv3/en/). The 13th edition of WSOM+ will take place at UPC BarcelonaTech V?rtex Building of Campus Nord, the location of the UPC Department of Computer Science (https://wsom2019.cs.upc.edu/upc-venue). This campus is in the south part of the city, at walking distance from Barcelona Football Club stadium and perfectly communicated with the city center and main tourist amenities through public transport: underground, tram and buses. ************ WSOM+ 2019 ************ *Organizing Committee* Alfredo Vellido, Chair (IDEAI, UPC BarcelonaTech) Karina Gibert (IDEAI, UPC BarcelonaTech) Cecilio Angulo (IDEAI, UPC BarcelonaTech) Jos? David Mart?n (Universitat de Val?ncia) * **Steering Committee:* Teuvo Kohonen (Honorary Chairman, Finland) Marie Cottrell (France) Pablo Estevez (Chile) Timo Honkela (Finland) Jean Charles Lamirel (France) Thomas Martinetz (Germany) Erzsebet Merenyi (USA) Madalina Olteanu (France) Michel Verleysen (Belgium) Thomas Villmann (Germany) Takeshi Yamakawa (Japan) Hujun Yin (UK) ========================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From zoltan.szabo.list at gmail.com Sun Apr 21 18:34:43 2019 From: zoltan.szabo.list at gmail.com (=?UTF-8?B?Wm9sdMOhbiBTemFiw7M=?=) Date: Mon, 22 Apr 2019 00:34:43 +0200 Subject: Connectionists: Data Science Summer School @ Ecole Polytechnique: D-7 reminder Message-ID: Dear All, This is a quick reminder; the application to the 3rd Data Science Summer School (DS^3-2019) @ Ecole Polytechnique will be closing in one week. Links: -Speakers: "https://www.ds3-datascience-polytechnique.fr/speakers/", -Program: "https://www.ds3-datascience-polytechnique.fr/program/", -Application: " https://www.ds3-datascience-polytechnique.fr/key-dates-application/". Key dates: -Application deadline: Apr 28 (5pm, Pacific time). -Notification of acceptance: by May 15. -Event: June 24 (Monday) - 28 (Friday), 2019. Best, DS^3 Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From zk240 at cam.ac.uk Sun Apr 21 19:12:12 2019 From: zk240 at cam.ac.uk (Zoe Kourtzi) Date: Mon, 22 Apr 2019 00:12:12 +0100 Subject: Connectionists: Early stage Researcher position at Univ Cambridge UK Message-ID: <39B654A4-F063-4036-8953-EEA92E91070C@cam.ac.uk> An early stage researcher position (Research Assistant, PhD or early stage postdoc) is available to work in Computational Cognitive Neuroscience at the Adaptive Brain Lab (http://www.abg.psychol.cam.ac.uk). The project forms part of the Marie Curie Action ? Innovative Training Network: DyViTo (https://dyvito.wordpress.com) and aims to uncover how the brain learns to make optimal perceptual decisions. The successful applicant will combine behavioural paradigms, with state-of-the-art brain imaging and computational modeling (including deep learning approaches for visual recognition). They will receive multi-disciplinary research training at the interface between psychology, neuroscience, computer science, engineering and industrial design. Applicants should have a strong academic track record in a relevant area (e.g., Psychology, Neuroscience, Mathematics, Engineering, Computer Science, Physics). They must satisfy the eligibility requirements that apply to all Marie Curie Early Stage Researchers: they cannot be in possession of a PhD qualification, and should not have resided in the UK for more than 12 months before appointment. For more details and to apply online please see: http://www.jobs.cam.ac.uk/job/21153/ Closing date for applications is 12th May 2019 Zoe Kourtzi, PhD Professor of Experimental Psychology Department of Psychology University of Cambridge Downing Street Cambridge CB2 3EB emal: zk240 at cam.ac.uk tel: 0044 1223 766558 http://www.abg.psychol.cam.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernard.balleine at unsw.edu.au Mon Apr 22 01:05:14 2019 From: bernard.balleine at unsw.edu.au (Bernard Balleine) Date: Mon, 22 Apr 2019 05:05:14 +0000 Subject: Connectionists: Computational Neuroscientist position at UNSW Sydney Message-ID: <4458F132-7654-41A6-AEA9-871A0D7C1BEA@ad.unsw.edu.au> Hello there, I have a position for a Post Doctoral Fellow in Computational Neuroscience in my lab, the Decision Neuroscience Lab, at UNSW Sydney. The job description is attached with a link to the advertisement. I should be very grateful if you could bring this position to the attention of anybody who may be interested and suitably qualified. Sincerely Bernard Balleine PhD (Cantab) Scientia Professor Australia Laureate Fellow NHMRC Senior Principal Research Fellow Head, Decision Neuroscience Lab Level 4 Matthews Building School of Psychology UNIVERSITY OF NSW Kensington, NSW 2052 T +61 2 9385 1857 M +61 435 659 949 E bernard.balleine at unsw.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Postdoc Position in Computational Neuroscience-fin.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 19702 bytes Desc: Postdoc Position in Computational Neuroscience-fin.docx URL: From asdm at fi.upm.es Mon Apr 22 10:12:04 2019 From: asdm at fi.upm.es (asdm at fi.upm.es) Date: Mon, 22 Apr 2019 16:12:04 +0200 (CEST) Subject: Connectionists: Fourteenth Madrid UPM Advanced Statistics and Data Mining Summer School (June 24th - July 5th, 2019) - Early registration reminder Message-ID: <1867750575.0.1555942324103.JavaMail.bmihaljevic@morelia> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school is open until June 2nd (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 24th to July 5th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2017. See the 2017 ranking at http://bit.ly/2oR00GI Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 24th - June 28th, 2019) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Learning algorithms. Learning and Optimization. Deep Networks. Practical session: Jupyter notebooks in Python Anaconda with keras and tensorflow. Course 6: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. * Week 2 (July 1st - July 5th, 2019) * 1st session: 9:45-12:45 Course 7: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. Course 8: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization with proximal methods. Practical session: Python Anaconda with scikit-learn. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. From navlakha at salk.edu Mon Apr 22 13:06:44 2019 From: navlakha at salk.edu (Saket Navlakha) Date: Mon, 22 Apr 2019 10:06:44 -0700 Subject: Connectionists: Biological Distributed Algorithm (BDA) 2019 -- Submission deadline May 6th! Message-ID: <059A1FA0-AE86-4069-B395-C8E473F9F1F3@salk.edu> Submission deadline in 2 weeks! ================================================================ The 7th Workshop on Biological Distributed Algorithms (BDA 2019) July 29, 2019 in Toronto, CA. Co-located with PODC 2019 http://www.snl.salk.edu/~navlakha/BDA2019/ ================================================================ We are excited to announce the 7th workshop on Biological Distributed Algorithms (BDA). BDA is focused on the relationships between distributed computing and distributed biological systems and in particular, on analysis and case studies that combine the two. Such research can lead to better understanding of the behavior of the biological systems while at the same time developing novel algorithms that can be used to solve basic distributed computing problems. We have traditionally focused on distributed computing in insect colonies and neural circuits, but we more than welcome other topic areas. This is a one-day workshop. =============================== INVITED SPEAKERS [MORE COMING!] =============================== Danny Forger, U Michigan Joel Levine, U Toronto William Ryu, U Toronto Jared Saia, UNM =============== IMPORTANT DATES =============== May 6, 2019 ? Extended abstract submission deadline May 29, 2019 ? Decision notifications July 29, 2019 ? Workshop =========== SUBMISSIONS =========== We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. Submissions should be in PDF and include title, author information, and an extended abstract of at most 4 pages. Please use the following EasyChair submission link: https://easychair.org/conferences/?conf=bda2019 Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues. ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph, CMU Anna Dornhaus, University of Arizona Ila Fiete, MIT Amos Korman, CNRS and University of Paris Diderot Nancy Lynch, MIT Melanie Moses, University of New Mexico Calvin Newport, Georgetown Merav Parter, Weizmann Ted Pavlic, Arizona State University Andrea Richa, Arizona State University ========================== ORGANIZERS (and PC CHAIRS) ========================== Yuval Emek, Technion Saket Navlakha, Salk Institute From cristian.rodriguezrivero at gmail.com Mon Apr 22 13:53:56 2019 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Mon, 22 Apr 2019 10:53:56 -0700 Subject: Connectionists: Symposium "Functional significance of oscillatory brain activity and Closed-loop stimulation" - Center for Neuroscience - UCDavis In-Reply-To: References: Message-ID: *Symposium "Functional significance of oscillatory brain activity and Closed-loop stimulation"* Thursday, May 9th, 2019, Center for Neuroscience, the University of California at Davis Putah Creek Lodge, Davis, CA, 95618 On May 9th we will host a full-day symposium on brain oscillations and closed-loop stimulation. While registration is free, *registration is required* due to limited seating capacity and needing a head count for the catering. You can find additional information regarding the symposium, including the list of speakers, and register at the following website: https://www.eventbrite.com/e/neuroengineering-symposium-tickets-59803279218 There are some rooms on hold at the Hyatt Place for the event at the university rate ($169 per night), which can be booked (while still available) by going to https://ucdavis.place.hyatt.com/en/hotel/home.html?corp_id=G-U275 Contact Information: Jochen Ditterich, Ph.D. Associate Professor Center for Neuroscience Dept. of Neurobiology, Physiology & Behavior University of California 1544 Newton Court Davis, CA 95618 USA office: +1 (530) 754-5084 lab: +1 (530) 754-6987 fax: +1 (530) 757-8827 Cristian Rodriguez Rivero, Ph.D, EE Center for Neuroscience University of California LA-CIS Board of Directors and Steering Committee (la-cci.org) Adj. Prof. at Aeronautical University Institute (IUA) http://fi.iua.edu.ar/ Mathematics Research Laboratory applied to Control (LIMAC) Universidad Nacional de C?rdoba *www.inv.limac.efn.uncor.edu/?page_id=292 *, e-mail: crodriguezrivero at ieee.org , crivero at iua.edu.ar crodriguezrivero at ucdavis.edu Cell: +1 (530) 407-9152 <%2B1%20%28530%29%20757-8827> -------------- next part -------------- An HTML attachment was scrubbed... URL: From marc.toussaint at informatik.uni-stuttgart.de Tue Apr 23 07:12:37 2019 From: marc.toussaint at informatik.uni-stuttgart.de (Marc Toussaint) Date: Tue, 23 Apr 2019 13:12:37 +0200 Subject: Connectionists: Tenure Track Professorship "Computing in Architecture" @ Univ. Stuttgart Message-ID: <4fbe4c14-0c69-173c-b95e-1e4eff87042e@informatik.uni-stuttgart.de> This position is part of a great research cluster bridging between (building) architecture, construction robotics and AI, that I am part of. I am posting this on behalf of Achim Menges, who is leading this cluster. ---------------------- TENURE TRACK PROFESSORSHIP "COMPUTING IN ARCHITECTURE" The UNIVERSITY OF STUTTGART invites applications for the TENURE TRACK PROFESSORSHIP "COMPUTING IN ARCHITECTURE". The professorship is dedicated to strengthening the link between architecture and computer science. Its main focus in research and teaching is on the development and integration of computer science methods in computational design and construction in architecture, with a special focus on the areas of machine learning and artificial intelligence. The professorship is embedded in the various research activities of the Institute for Computational Design and Construction and the Cluster of Excellence IntCDC Integrative Computational Design and Construction for Architecture at the University of Stuttgart. Connections to the Department of Computer Science and the Cyber Valley Initiative are also envisioned. A more detailed job offer can be viewed online: https://icd.uni-stuttgart.de/?p=25720 https://www.academics.com/jobs/tenure-track-professorship-w1-computing-in-architecture-universitaet-stuttgart-stuttgart-1005979 Background Information: Research Cluster: https://icd.uni-stuttgart.de/?p=24111 Cyber Valley: https://cyber-valley.de ICD: https://icd.uni-stuttgart.de The application deadline is *15th of May 2019*. -- Marc Toussaint http://ipvs.informatik.uni-stuttgart.de/mlr/marc/index.html From stefano.panzeri at gmail.com Wed Apr 24 07:30:01 2019 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Wed, 24 Apr 2019 13:30:01 +0200 Subject: Connectionists: two postdoc positions in computational neuroscience at IIT, Italy Message-ID: Two postdoctoral positions will be available at Istituto Italiano di Tecnologia) to work with me (Stefano Panzeri https://www.iit.it/people/stefano-panzeri), in the laboratory of Neural Computation. The laboratory investigates, by developing and using advanced data analysis methods and neural network models, how circuits of neurons in the brain encode information and use it to produce appropriate behaviors. The positions on offer would leave the candidate the choice of developing a research project of mutual interest within this research area. The laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, ambitious research environment which is well funded (including several grants from the NIH Brain Initiative). Moreover, the laboratory offers extensive long-term international collaborations with empirical neuroscience laboratories (including Chris Harvey at Harvard Medical School, Wei Lee at Children?s Hospital, Christoph Kayser at Bielefeld, Nikos Logothetis at Tuebingen, Mathew Diamond at SISSA, Tommaso Fellin and Cristina Becchio at the IIT, Alex Thiele at Newcastle) and ample opportunities for advanced training and personal scientific growth. I seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. The successful candidate will have the opportunity to conduct research at the IIT center in Rovereto (Italy), or at the IIT headquarters in Genova, (Italy). For representative recent publications from my lab, please see: Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, Nature: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. Neuron 93: 491-507 Safaai, H., et al (2015) Modelling the effect of Locus Coeruleous firing on single trial cortical state dynamics and sensory processing. Proc. Natl. Acad. Sci. USA 112(41): 12834?12839 Further information about my research can be found at my IIT and Google Scholar web pages: https://www.iit.it/people/stefano-panzeri https://scholar.google.it/citations?user=C-HCQ9cAAAAJ&hl=en Applications (full CV, statement of research interest and name and contact of 2 referees) should be sent by e-mail to stefano.panzeri at iit.it, quoting ?Postdoctoral position in Computational Neuroscience? in the subject line. The deadline for applications is May 18th, 2019. Applications will be examined until the position is filled. Interested applicants are advised to contact me by email informally as soon as possible to discuss about the science and the position informally. Thanks Stefano Panzeri -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tahrima.Rahman at utdallas.edu Wed Apr 24 02:54:33 2019 From: Tahrima.Rahman at utdallas.edu (Rahman, Tahrima) Date: Wed, 24 Apr 2019 06:54:33 +0000 Subject: Connectionists: Deadline Approaching: TPM @ ICML 2019 Message-ID: ----------------------Second Call for Papers------------------------------ The 3rd Workshop on Tractable Probabilistic Modeling (TPM) @ ICML 2019, Long Beach, California, USA. https://sites.google.com/view/icmltpm2019/home ---------------------------------------------------------------- Important Dates **Paper submission deadline: April 30, 2019 AOE (UTC-12:00h) **Notification to authors: May 15, 2019 **Camera ready version: May 31, 2019 AOE (UTC-12:00h) **Workshop Date: June 14/15, 2019 (TBA) ---------------------------------------------------------------- Tractable probabilistic modeling (TPM) is concerned with the inherent trade-off between the expressivity of the probabilistic models and the complexity of performing various types of inference on them, as well as learning them from data. Traditional topics in this area include efficient learning of probabilistic models, exact inference, and approximate routines with guarantees. Relevant model classes include low- and bounded-treewidth PGMs, determinantal point processes, exchangeable probabilistic models, arithmetic circuits, sum-product networks, cutset networks, probabilistic sentential decision diagrams, and more. Successful real-world applications of such models comprise: image classification, completion and generation, scene understanding, activity recognition, language and speech modeling, bioinformatics, collaborative filtering, verification and diagnosis of physical systems. This year's workshop will focus especially on bringing together researchers working on the different fronts and communities of TPM. We especially encourage submissions highlighting the challenges and opportunities for tractable inference and modeling within the rising field of probabilistic programming and the neural probabilistic modeling community, recently achieving impressive successes in many application fields. Here is a non-exhaustive list of possible venues. Any other work relevant to the TPM community will be highly appreciated. **Tractable inference with neural probabilistic models **Challenges in tractable probabilistic programming **New tractable representations in discrete, continuous and hybrid domains **Tractable models and explainable AI **Learning algorithms for tractable probabilistic models **Theoretical and empirical analysis of tractable modeling **Approximate inference algorithms with guarantees on approximation quality **Applications of tractable probabilistic modeling ---------------------------------------------------------------------------- Submission Instructions: **Recently published research papers can be submitted as they were accepted **Original papers (up to 8 pages, not including references) and abstracts (up to 2 pages, not including references) are required to follow the same style guidelines of ICML 2019 All submissions must be electronic, in the above format and submitted through EasyChair (link below). Reviewing for TPM 2019 is single-blind and we also encourage authors to share code and data for reproducibility. Submission Link: https://easychair.org/conferences/?conf=tpm2019 ---------------------------------------------------------------------------- Organizers: Daniel Lowd (University of Oregon) Tahrima Rahman (University of Texas, Dallas) Antonio Vergari (Max-Planck-Insitute for Intelligent Systems, University of California, Los Angeles) Alejandro Molina (TU Darmstadt) Pedro Domingos (University of Washington) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ruben.coen-cagli at einstein.yu.edu Wed Apr 24 09:48:16 2019 From: ruben.coen-cagli at einstein.yu.edu (Ruben Coen-Cagli) Date: Wed, 24 Apr 2019 13:48:16 +0000 Subject: Connectionists: Tenure Track Faculty Position - Systems and Computational Biology Message-ID: <78750534F56F834DA533C23B98F0BB6B3352ED16@AEWEXCPM21.yuad.uds.yu.edu> Dear colleagues, our department is recruiting faculty with an emphasis on theoretical, computational and experimental approaches to studying complex biological systems, including computational neuroscience. Details in the ad below. The Albert Einstein College of Medicine, one of the leading medical schools, located in New York City, is seeking to fill multiple tenure track faculty positions in the Department of Systems and Computational Biology. The major goal of the department is to advance our understanding of living systems by developing theoretical, computational and experimental approaches to study complex biological systems. The College has 711 medical students, 160 Ph.D. students and 107 M.D./Ph.D. students, 265 postdoctoral research fellows in training and boasts a strong research faculty covering broad areas of experimental biology. The College of Medicine has more than 1,800 full-time faculty members located on the main campus and at its clinical affiliates. The 200,000 square foot Center for Genetic and Translational Medicine at Einstein locates computational, systems and experimental scientists in physical proximity to foster interdisciplinary communication and collaboration. Highly competitive start-up packages are available. [X] We seek outstanding scientists with broad experience and demonstrated collaborative interactions with experimental or clinical investigators. Candidates should have strength in a physical, mathematical or computational field at the Ph.D. or equivalent level. Experience applying these skills to a biological or biomedical area (demonstrated through publications or support) is also desirable. Areas of interest include, but are not limited to: Modeling cellular processes; Evolutionary medicine; Evolution of structure and function; Biological networks analysis; Microbiome; Computational neuroscience; Mathematical and computational modeling of high-dimensional data related to complex traits. Applicants should send a letter of interest, C.V., statement of research and teaching interests, and names of three referees, in electronic format to: Systems and Computational Biology Search Committee Albert Einstein College of Medicine Jack and Pearl Resnick Campus 1300 Morris Park Ave. Price Center, Rm. 153 Bronx, New York 10461 E-mail Address: SysBio at einstein.yu.edu Subject line should be: SCB Faculty Search The Albert Einstein College of Medicine 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, age, protected veteran or disabled status, or genetic information. Ruben Coen Cagli, PhD Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.ciaramella at uniparthenope.it Wed Apr 24 09:46:34 2019 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Wed, 24 Apr 2019 15:46:34 +0200 Subject: Connectionists: Call for Papers - Special Session on Advanced Smart Multimodal Data Processing - WIRN 2019 Message-ID: <20190424154634.Horde.RBfRaDtLgg_Vx8uoBqRlMw1@webmail.uniparthenope.it> Apologize for multiple posting. ------------------------------------------------------------------------------------ Special Session @ 29th edition of the Italian Neural Networks Workshop (WIRN), 12-14 June 2019, Vietri sul Mare (Sa), Italy (http://www.siren.international) ------------------------------------------------------------------------------------ Advanced Smart Multimodal Data Processing Multimodal systems offer a flexible, efficient and usable environment allowing users to interact through input modalities. Multimodal signal processing is an important research and development field, in multimodal systems sector, that processes signals and combines information from a variety of modalities (e.g., speech, language, text) which significantly enhance the understanding, modeling, and performance of human-computer interaction devices or systems enhancing human-human communication. Moreover, multimodal human-computer interaction enables a more free and natural communication, interfacing users with automated systems in both input and output. The aim of the special session is to host original papers and reviews on recent research advances and the state-of-the-art methods in the fields of Soft Computing, Machine Learning and Data Mining methodologies concerning with the processing of multimodal data in order to highlight about systems and data processing tools. ----------- Important dates Paper Submission deadline: May 10, 2019 Notification of acceptance: May 30, 2019 Camera-ready copy: June 10, 2019 Conference Dates: June 12-14, 2019 ----------- Important Information For submitting the contribute to WIRN 2019 through Easy Chair the authors must select "Advanced Smart Multimodal Data Processing" session --------------------------------------------- - Angelo Ciaramella, Ph.D - Associate Professor in Computer Science - DiST, Dipartimento di Scienze e Tecnologie - Universit? degli Studi di Napoli "Parthenope" - Room 431, Isola C4, Centro Direzionale - I-80143 Napoli, ITALY - Tel.: 0815476674 From fh at cs.uni-freiburg.de Wed Apr 24 09:31:29 2019 From: fh at cs.uni-freiburg.de (Frank Hutter) Date: Wed, 24 Apr 2019 15:31:29 +0200 Subject: Connectionists: CFP AutoML @ ICML 2019 -- deadline extended to May 2nd In-Reply-To: References: Message-ID: CALL FOR CONTRIBUTIONS Deadline extended to May 2nd due to popular request (since last year's conference and deadline was much later) The ICML 2019 Workshop on Automated Machine Learning (AutoML 2019) Collocated with ICML in Long Beach, June 14 or 15 (TBD), 2019 Web: http://icml2019.automl.org ---------------------------------------------------------------- *Important Dates:* Submission deadline: 2 May 2019, 11:59pm UTC-12 (May 2 anywhere in the world) Notification: 17 May 2019 ---------------------------------------------------------------- Workshop topic: Machine learning has achieved considerable successes in recent years, but this success often relies on human experts, who construct appropriate features, design learning architectures, set their hyperparameters, and develop new learning algorithms. Driven by the demand for off-the-shelf machine learning methods from an ever-growing community, the research area of AutoML targets the progressive automation of machine learning aiming to make effective methods available to everyone. The workshop targets a broad audience ranging from core machine learning researchers in different fields of ML connected to AutoML, such as neural architecture search, hyperparameter optimization, meta-learning, and learning to learn, to domain experts aiming to apply machine learning to new types of problems. We invite submissions on the topics of: - Model selection, hyper-parameter optimization, and model search - Neural architecture search - Meta-learning and transfer learning - Learning to learn new algorithms and strategies - Automation of any element of the ML pipeline, including: - feature extraction / construction - data cleaning - generation of workflows / workflow reuse - problem "ingestion" (from raw data and miscellaneous formats) - acquisition of new data (active learning, experimental design) - report generation (providing insight on automated data analysis) - selection of evaluation metrics / validation procedures - selection of algorithms under time/space/power constraints - construction of fair and unbiased machine learning models - semi-supervised and unsupervised machine learning - Extending the scope of AutoML towards automated data science - Human-in-the-loop approaches for AutoML - Demos of existing AutoML systems - Robustness of AutoML systems (w.r.t. randomized algorithms, data, hardware etc.) - Hyperparameter agnostic algorithms We welcome submissions up to 6 pages in JMLR format (+ references). We strongly encourage attachments of code to foster reproducibility; reproducibility of results and easy availability of code will be taken into account in the decision making process. All accepted papers will be presented as posters. We may invite the best 2-3 papers for an oral plenary presentation. Unless indicated by the authors, we will provide PDFs of all accepted papers on http://icml2019.automl.org/. There will be no archival proceedings. For submission details please see the submission page . Confirmed Keynote Speakers - Rachel Thomas - Raquel Urtasun - Charles Sutton Tentative Dates - April 1st: submission system opens - May 2nd: submission deadline - May 17th: notification - June 14th or 15th: workshop day (TBD) -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonior at usp.br Wed Apr 24 13:21:54 2019 From: antonior at usp.br (Antonio Roque) Date: Wed, 24 Apr 2019 14:21:54 -0300 Subject: Connectionists: Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil Message-ID: Positions for Postdoctoral Researchers The Research, Innovation and Dissemination Center for Neuromathematics ( NeuroMat ), hosted by the University of Sao Paulo, Brazil, and funded by the Sao Paulo Research Foundation (FAPESP ), is offering several postdoctoral fellowships for recent PhDs with outstanding research potential. The research will involve collaborations with experimental and theoretical groups and laboratories associated to NeuroMat. The research to be developed by the postdoc fellows shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP Sao Paulo, USP Ribeirao Preto or Unicamp. We seek candidates capable to develop independent research in one of the research lines below. 1. Stochastic and/or computational modeling of the brain functioning. 2. Acquisition, processing and quantitative analysis of electrophysiological data. 3. Biomedical devices for neuroscience research. Candidates to the first research line are required to have at least one of the profiles below: ? A strong background in probability theory with emphasis on stochastic processes. Previous knowledge of rigorous statistical mechanics or random graphs will be favorably considered. ? A strong mathematical and/or computational background and experience with computers and programming. Previous experience with development and/or simulation of neural brain models, complex networks and parallel computing will be favorably considered. Candidates to the second research line are required to have at least one of the profiles below: ? A strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. ? A strong background in computer science with experience in the development of algorithms, software tools and data bases. Previous research experience in neuroscience or related areas will be favorably considered. Candidates to the third research line are required to have at least one of the profiles below: ? A strong background in electromagnetism and biomedical engineering. Previous knowledge of transcranial magnetic stimulation or magnetic/electric field simulation will be favorably considered. ? A strong background in computer science and control software development expertise. Previous experience with neuroscience and neuronavigation systems will be favorably considered. Previous experience with multidisciplinary research teams is welcome for all the above research lines. The initial appointment is for one year, with a possible extension to up to four years, conditional on research progress. The fellowship is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions Applicants should complete and submit the application form . The following documents and information are requested (please see the form for further details): ? Summary of the CV, in the FAPESP format (see www.fapesp.br/en/6351 for instructions.) ? List of publications, with links to those available online. ? A summary of the research plan for the next year, up to 5 pages length. It should explicitly state for which of the three above profiles the candidate is applying. It should also address its place within the framework of the NeuroMat research program . ? Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested. ? Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl at numec.prp.usp.br. Candidates are encouraged to apply at their earliest convenience until June 3rd, 2019. Appointments are expected to start by September 1st, 2019. The initial period of the position lasts for 12 months, with possible renovations for up to four years. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Post-Doctoral fellowships in the amount of BRL 7,372.40 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent in items directly related to the research activity. More information about the fellowship is at: www.fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior at usp.br aroquesilva at gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887> -------------- next part -------------- An HTML attachment was scrubbed... URL: From weixu at cse.ohio-state.edu Wed Apr 24 21:48:18 2019 From: weixu at cse.ohio-state.edu (Xu, Wei) Date: Thu, 25 Apr 2019 01:48:18 +0000 Subject: Connectionists: EMNLP-IJCNLP 2019: Call for System Demonstrations Message-ID: EMNLP-IJCNLP 2019 - Call for System Demonstrations 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, CHINA November 3-7, 2019. https://emnlp-ijcnlp2019.org/ The EMNLP 2019 System Demonstration Program Committee invites proposals for the Demonstrations Program. Submissions may range from early research prototypes to mature production-ready systems. Of particular interest are publicly available open-source or open-access systems. We would like to encourage demonstrations of industrial systems as long as they prove technologically innovative given the current state of the art of theory and applied research in computational linguistics. Areas of interest include all topics related to theoretical and applied computational linguistics, such as (but not limited to) the topics listed in the conference call for papers. Accepted submissions will be published in a companion volume of the EMNLP 2019 conference proceedings. We expect at least one of the authors to present a live demo during a demo session at EMNLP 2019, with an accompanying poster. Submission and reviewing All submissions should be made electronically via START. Submissions may consist of 6 pages (including references). Papers must conform to the official EMNLP guidelines which are contained in the LaTeX style files and the Word template. Submissions will be electronic in PDF format through the START conference management system. Reviewing will be single-blind, so authors do not need to conceal their identity. The paper should include the authors? names and affiliations. Self-references are also allowed. Best Demo Award EMNLP 2019 will have a Best Demo Award for the first time, honoring a system demonstration that brings together conceptual innovation and practical usability, and encouraging researchers to make their code publicly available in the form of an effective, easy-to-use, runnable system. Demo Details Developers should outline the design of their system and provide sufficient details to allow the evaluation of its validity, quality, and relevance to computational linguistics. It is required that each submission includes at least one of the following two items: 1) a link to a website that hosts or demonstrates the system; 2) a short (~2 minute) screencast video demonstrating the system. In addition, we encourage the authors to include visual aids (e.g., screenshots, snapshots, or diagrams) in the paper. However, there will be a place on the START website to upload additional material, if needed. It is strongly encouraged that you submit a screencast. This screencast will be used to evaluate the paper, but won?t be published unless requested. A screencast with audio narration is a natural choice for demos which can be presented on a screen. Otherwise, a video of a user interacting with the system can be used (see this video demonstrating the sounding board system as an example). The production quality of the video is not of interest. Hence, we encourage the videos to be simply a screencast of the software that is getting demoed, with zero to minimal editing efforts. We recommend that you publish your video to YouTube or another website and include the link in your paper. If you prefer not to publicly upload a screencast, please submit the video (in MPEG4 format). The video must be included as supplementary material when you submit your paper through the START website. Technical support that will be provided in the demo session The organizers will provide a monitor, internet access, and electric outlets. International visitors may need to bring an adaptor (details on the voltage range and plug type used in Hong Kong can be found here). Most demos are presented using a laptop, but some demos may use different types of computers (e.g., smartphones or embedded systems). Unfortunately, the organizers will not be able to provide laptops. Important Dates Submissions due (long & short) Monday July 1, 2019 Notification of acceptance Monday August 12, 2019 Camera-ready due Friday August 30, 2019 Main conference Tuesday?Thursday November 5?7, 2019 Note. All deadlines are calculated at 11:59pm Pacific Daylight Savings Time (UTC -7h). -------------- next part -------------- An HTML attachment was scrubbed... URL: From dboscaini at fbk.eu Fri Apr 26 09:41:36 2019 From: dboscaini at fbk.eu (Davide Boscaini) Date: Fri, 26 Apr 2019 15:41:36 +0200 Subject: Connectionists: ICIAP 2019 - Paper submission deadline extended to 6th May 2019 Message-ID: Dear colleagues, we are pleased to announce you that the paper submission deadline for ICIAP 2019 has been extended to May 6, 2019. Call for Papers ICIAP 2019 (https://event.unitn.it/iciap2019) is the 20th edition of a series of conferences organized biennially by the Italian Member Society (CVPL, ex GIRPR) of the International Association for Pattern Recognition (IAPR). The event will be co-located with the 13th edition of the ACM International Conference on Distributed Smart Cameras (ICDSC) ( http://icdsc.org). The focus of the conference is on both classic and recent trends in computer vision, pattern recognition and image processing, and covers both theoretical and applicative aspects, with particular emphasis on the following topics: * Video Analysis & Understanding * Pattern Recognition and Machine Learning * Deep Learning * Multi-view Geometry and 3D Computer Vision * Image Analysis, Detection and Recognition * Multimedia * Biomedical and Assistive Technology * Digital Forensics * Image Processing for Cultural Heritage The conference is structured in oral and poster sessions and offers invited lectures from distinguished speakers. Satellite workshops and tutorials are also organized. Accepted papers will be included in the ICIAP 2019 Conference Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS). Every accepted paper requires at least one author registered with regular registration fee and presenting the work at the conference. The conference will be held in Trento, Italy on 9-13 September, 2019. Dates: * Main Conference: 11-13th September 2019 * Workshop and Tutorials: 9-10th September 2019 * Full paper submission: 12th April 2019 (extended to 6th May 2019) * Notification of acceptance: 7th June 2019 * Camera ready submission: 21st June 2019 Submission: The maximum number of pages is 10 + 1 page containing only references. Papers will be selected by a review process. Authors of ICIAP 2019 papers can find complete instructions of how to format their papers in the conference webpage ( https://event.unitn.it/iciap2019). Springer?s proceedings LaTeX templates are available in Overleaf. Springer encourages authors to include their ORCIDs in their papers. Additional information can be found in "Springer LNCS ? Information for Authors of Computer Science Publications". Papers can be submitted using the CMT available at https://cmt3.research.microsoft.com. When submitting the camera ready, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign the Consent-to-Publish form, through which the copyright for their paper is transferred to Springer. -- -- Le informazioni contenute nella presente comunicazione sono di natura? privata e come tali sono da considerarsi riservate ed indirizzate? esclusivamente ai destinatari indicati e per le finalit? strettamente? legate al relativo contenuto. Se avete ricevuto questo messaggio per? errore, vi preghiamo di eliminarlo e di inviare una comunicazione? all?indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -------------- next part -------------- An HTML attachment was scrubbed... URL: From zoltan.szabo.list at gmail.com Fri Apr 26 08:05:51 2019 From: zoltan.szabo.list at gmail.com (Zoltan Szabo) Date: Fri, 26 Apr 2019 14:05:51 +0200 Subject: Connectionists: =?utf-8?q?Data_Science_Summer_School_=40_=C3=89co?= =?utf-8?q?le_Polytechnique=3A_D-2_reminder?= Message-ID: Dear All, This is a quick reminder; 2 days are left to apply to the 3rd Data Science Summer School (DS^3-2019) @ ?cole Polytechnique. Website: "https://www.ds3-datascience-polytechnique.fr/". Dates: -Application deadline: Apr 28 (5pm, Pacific time), -Event: June 24-28, 2019. Best, DS^3 Organizers From Donald.Adjeroh at mail.wvu.edu Fri Apr 26 09:18:10 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 26 Apr 2019 13:18:10 +0000 Subject: Connectionists: SBP-BRiMS 2019 -- Call for Participation, Travel Fellowships ... In-Reply-To: References: , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2019 2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 9-12, 2019, Lehman Auditorium, George Washington University, Washington DC, US http://sbp-brims.org/ #sbpbrims Conference Registration: Registration is now open for the 2019 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), George Washington University, Washington DC, USA, July 9 ? July 12, 2019. You can register at the website: http://sbp-brims.org/2019/registration/ Travel Fellowships: A limited number of travel fellowships is available for the conference. For more details, visit the conference website http://sbp-brims.org/2019/, and check the menu for Scholarships, under "Conference Information". SBP-BRiMS 2019 July 9-12 | Washington, D.C. 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 samuel.kaski at aalto.fi Fri Apr 26 23:22:00 2019 From: samuel.kaski at aalto.fi (Kaski Samuel) Date: Sat, 27 Apr 2019 03:22:00 +0000 Subject: Connectionists: =?utf-8?q?Finnish_Center_for_Artificial_Intellige?= =?utf-8?q?nce_FCAI_has_launched_=E2=80=93_join_us_in_creating_the_next_ge?= =?utf-8?q?neration_of_AI!?= Message-ID: <3C98C4D1-61B5-46CE-A508-1996A2D11250@aalto.fi> Are you a promising young researcher looking for an outstanding postdoc position? Or an experienced professor wishing to spend a sabbatical in one of the most dynamic AI hubs in Europe? Or perhaps you are a superb software developer who wishes dive into the world of fundamental AI research? We are launching the Finnish Center for Artificial Intelligence FCAI (https://fcai.fi) ? a center striving for scientific breakthroughs in the field of AI while producing high-quality societal and economic impact. FCAI is built on the a long tradition and track record of decades of pioneering machine learning research in Helsinki. Come and join our vibrant community of leading scientists and companies in creating the next generation of artificial intelligence that is data-efficient, trustworthy and understandable! With a total budget of ?250M over the next 8 years, FCAI is opening a range of research positions for academics and ICT professionals in different levels of their careers. Read more on what FCAI can offer to you: https://fcai.fi/open-positions Website: fcai.fi Twitter: twitter.com/fcai_fi LinkedIn: linkedin.com/company/fcai/ -- Samuel Kaski, Academy Professor Department of Computer Science, Aalto University P.O. Box 15400, FI-00076 Aalto, Finland; https://people.aalto.fi/samuel.kaski Tel: +358 50 3058694 Director, Finnish Center for Artificial Intelligence FCAI, fcai.fi From Donald.Adjeroh at mail.wvu.edu Fri Apr 26 09:24:14 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 26 Apr 2019 13:24:14 +0000 Subject: Connectionists: SBP-BRiMS 2019 -- Working Papers, Challenge Problems, Doctoral Consortium ... In-Reply-To: References: , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2019 2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 9-12, 2019, Lehman Auditorium, George Washington University, Washington DC, US http://sbp-brims.org/ #sbpbrims CALL FOR Contributions : Important Dates: Working Paper Submission: 17-May-2019 Doctoral Consortium Submission due: 17-May-2019 Tutorial Submission: 17-May-2019 Demo Submission: 17-May-2019 Challenge Response Submission: 17-May-2019 SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interests include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and/or evolution * Collective action and governance * Information, belief, technology of disease diffusion * Public opinion representation, identification and modeling * Information diffusion * Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations * Validation and analysis techniques for social behavioral models Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes over time or space * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Social Cyber-Security applications * Social simulation for military training * Cyber diplomacy * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Applications for Health and Well-being * Data science applied to health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation CHALLENGE PROBLEMS: There will be two data science challenges, one on opioids and one on disinformation. Additional details are posted on the conference website, SBP-BRiMS.org/challenge. The deadline for submissions this year will be 17-May-2019. IMPORTANT DATES: Working Paper Submission: 17-May-2019 Doctoral Consortium Submission due: 17-May-2019 Tutorial Submission: 17-May-2019 Demo Submission: 17-May-2019 Challenge Response Submission: 17-May-2019 Please see conference website http://sbp-brims.org for more information. AWARDS: All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. Submission of a paper to the conference means that the authors consent to send an extended version to the special issue, should they receive one of the awards. Papers receiving the best paper awards, the best student paper award, winner of the opioid challenge, and winner of the disinformation challenge will then send an extended version of their paper for publication in the best of SBP-BRiMS 2019 special issue. ------------------------------------------------------------------------------------------------------------- SBP-BRiMS 2019 July 9-12 | Washington, D.C. 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 robert.jenssen at uit.no Fri Apr 26 08:43:24 2019 From: robert.jenssen at uit.no (Robert Jenssen) Date: Fri, 26 Apr 2019 12:43:24 +0000 Subject: Connectionists: Open postdoctoral position in the Machine Learning Group at UiT The Arctic University of Norway Message-ID: The UiT Machine Learning Group http://machine-learning.uit.no has an open three-year postdoctoral position. The deadline is May 1st 2019. We are seeking a postdoctoral research fellow to take an active role in the group?s research on advancing machine learning methodology. Special emphasis will be given to candidates who have experience working with deep clustering, and in particular based on convolutional neural networks, as well as approaches for graph propagation. The overarching basic research idea is to develop unsupervised and semi-supervised approaches for deep learning. The candidate will seek to develop the novel methodology for use within the applied fields of the group. This includes data-driven health for decision and diagnosis support, based on analysis of heterogeneous data from electronic health records (close collaboration with the University Hospital of North Norway), as well as image analysis research together with collaborating partners, in addition to industrial research. The candidate is expected to master tools such as e.g. TensorFlow, Keras, Pytorch, and/or Caffe. For details, please see: https://www.jobbnorge.no/en/available-jobs/job/167393/postdoctoral-research-fellow-in-machine-learning-3-years [https://www.jobbnorge.no/logos/content/images/fb_jn.jpg] Postdoctoral Research Fellow in Machine Learning (3 years) (167393) | UiT The Arctic University of Norway www.jobbnorge.no Job title: Postdoctoral Research Fellow in Machine Learning (3 years) (167393), Employer: UiT The Arctic University of Norway, Deadline: Wednesday, May 1, 2019 The successful candidate will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections. faculty members in the group include Professor Robert Jenssen (group leader), Associate Professor Stian Anfinsen, Associate Professor Michael Kampffmeyer (from Jan'20), and Professor Fred Godtliebsen. Best regards, --- Robert Jenssen UiT Machine Learning Group http://machine-learning.uit.no UiT The Arctic University of Norway -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.zock at lis-lab.fr Fri Apr 26 15:08:18 2019 From: michael.zock at lis-lab.fr (Michael Zock) Date: Fri, 26 Apr 2019 21:08:18 +0200 Subject: Connectionists: AIxRoads (AI at the Crossroads of NLP and Neuroscience) - IJCAI workshop ---!!---Extended deadline: may 12, 2019---!!--- Message-ID: (Apologies for cross-posting) *Final CALL FOR PAPERS* A.I. at the Crossroads of NLP and Neuroscience (AIxRoads) *Extended deadline*: may 12, 2019* workshop*: 10^th , 11^th or12^th of August, 2019 https://sites.google.com/view/ijcai-ws928-aixroads/home 1Workshop Description This one-day workshop will be held in Macao in August (10/11/12, 2019), in conjunction with the 28th International Joint Conference of Artificial Intelligence (https://ijcai19.org). The goal of this workshop is to stimulate cross-fertilization between the different communities of the AI universe (e.g., Mathematicians, Linguists, Cognitive Scientists, Neuroscientists) in order to identify the knowledge needed to bridge the gap between Natural and Artificial Intelligence. More precisely, we would like to discuss whether and how the usage of knowledge concerning the human brain may enable engineers to produce better software. For more details see the conference website: https://sites.google.com/view/ijcai-ws928-aixroads/home Here are some of the questions for which we would like to find answers: * Can we get machines to learn as ordinary people do? Children induce rules on the basis of very few examples, containing even noisy data (few-shot learning; learning of abstractions). Can we replicate this by a machine? * How can the learned knowledge be reused for new tasks? * How to improve the interaction between humans and machines? * Can knowledge of the brain mechanisms involving intelligence (sound, vision and language) help us to develop better architectures? * In what ways can the techniques developed in AI inspire cognitive scientists to get new ideas/theories, or, to help them to refine existing ones? * Is there a way for AI to exploit embodied representations ? * How can AI help us to solve problems in other disciplines, for example, NLP? * Can we make Natural and Artificial Intelligence cooperate in problem-solving, or, should the two be applied separately ? * If there is an interaction between the two, what should this look like? What are the interfaces and workflows? * What are the benefits for AI to mimic humans or the human mind while processing language? * Where in the development cycle and how shall AI engineers consider specific human aspects, such as the human brain/mind? * Specificities of humans and machines: how relevant is deep learning in modeling human thought? * Do we still need theories in the age of deep learning? Are there ways to interpret their results? * Is it possible to build a glass box and open the neural network black box? * What can NLP practitioners learn from network science (complex graphs)? * Can machines liberate us from the boring and mechanical aspects of problem-solving (logical proofs), to allow us to focus more on the creative aspects of the task? * How to build AI augmenting human intelligence, or, how to use human intelligence to augment AI? * Can we impose order and logic on an unordered set of ideas, by detecting the nature of the links between them automatically, to help authors in producing coherent texts? 2Workshop Submissions We accept regular workshop papers, which will be included in the proceedings pending acceptance. All submissions should be in PDF format, and be submitted via the following website: https://easychair.org/conferences/?conf=aixroads2019. If you don?t have already an account with them, you will have to create one (https://easychair.org/account/signup.cgi). To allow for double-blind reviewing, the manuscripts should be devoid of information allowing author identification. Paper formats should comply with the IJCAI 2019 style sheets, available at: https://www.ijcai.org/authors_kit. * Regular Submissions Papers can be either full (8 pages of content + references) or short papers (4 pages + references) reporting original and unpublished research relevant for this workshop. * Accepted papers are expected to be presented by one of the authors at the workshop (oral presentation or poster). It is only under this condition that they will be included in the workshop proceedings. If the same paper has been submitted to multiple conferences / workshops, the authors are asked to point this out at submission time. For papers to be presented at this workshop, they must be withdrawn from other venues. 3Important Dates * Submission deadline: May 12, 2019(11.59 p.m., UTC-12h) * Notification of acceptance: May 27, 2019 * Camera-ready version due: June 10, 2019 * Workshop date: **Aug 10/11/12, 2019 (one out of these three) 4Workshop Organizers * Michael Zock (CNRS, LIS, AMU, Marseille, France), psycholinguist * Yoed N. Kenett (University of Pennsylvania, Philadelphia, PA, USA), neuroscientist * Enrico Santus (MIT, CSAIL, Boson, USA), computational linguist * Mingyu Wan (The Hong Kong Polytechnic University), computational linguist * Emmanuele Chersoni (The Hong Kong Polytechnic University), computational linguist 5Program Committee See https://sites.google.com/view/ijcai-ws928-aixroads/home or https://easychair.org/cfp/WS-928AIxRoads 6Contact Information e-mail: michael.zock at lis-lab.fr Homepage: http://pageperso.lif.univ-mrs.fr/~michael.zock/ Phone (France): +33 951-899-707 Skype: mikazock To be sure to have the most recent information, check with the workshop?s homepage (_https://sites.google.com/view/ijcai-ws928-aixroads/home_). -- ---------------------------------------- Michael ZOCK Directeur de Recherche ?m?rite LIS UMR CNRS 7020 (Groupe TALEP) Aix Marseilly Universit? 163 Avenue de Luminy - case 901 F-13288 Marseille/France Mail: michael.zock at lis-lab.fr Tel.:? +33 (0)4.86.09.06.85 Secr.: +33 (0)4.86.09.04.60 ??? ?? +33 (0)4.86.09.06.75 http://pageperso.lif.univ-mrs.fr/~michael.zock/ ------------------------------------------ -- ---------------------------------------- Michael ZOCK Directeur de Recherche ?m?rite LIS UMR CNRS 7020 (Groupe TALEP) Aix Marseilly Universit? 163 Avenue de Luminy - case 901 F-13288 Marseille/France Mail: michael.zock at lis-lab.fr Tel.:? +33 (0)4.86.09.06.85 Secr.: +33 (0)4.86.09.04.60 ??? ?? +33 (0)4.86.09.06.75 http://pageperso.lif.univ-mrs.fr/~michael.zock/ ------------------------------------------ -- ---------------------------------------- Michael ZOCK Directeur de Recherche ?m?rite LIS UMR CNRS 7020 (Groupe TALEP) Aix Marseilly Universit? 163 Avenue de Luminy - case 901 F-13288 Marseille/France Mail: michael.zock at lis-lab.fr Tel.:? +33 (0)4.86.09.06.85 Secr.: +33 (0)4.86.09.04.60 ??? ?? +33 (0)4.86.09.06.75 http://pageperso.lif.univ-mrs.fr/~michael.zock/ ------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.panzeri at gmail.com Sat Apr 27 06:28:14 2019 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Sat, 27 Apr 2019 12:28:14 +0200 Subject: Connectionists: PhD position in computational neuroscience at IIT - deadline May 15th Message-ID: *Fully funded PhD Position at IIT - Computational approaches to study the neural code* I am are seeking candidates for a fully funded PhD position at the Italian Institute of Technology?s in the lab directed by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri ). IIT collaborates with University of Bologna and finances the positions at the PhD course in Data Science and Computation. Although formally enrolled at the University of Bologna, the successful candidate will have the opportunity to conduct research either at the IIT center in Rovereto (Italy), or at the IIT headquarters in Genova, (Italy). The PhD project can focus on any of the research topics about neural information processing that are of interest to both the candidate and my lab, including: developing mathematical analysis methods and neural network models for studying large scale neural population coding during cognitive tasks, for studying the neural bases of sensory perception and decision making, for linking functional to anatomical connectivity with cellular resolution at the neural population level, and for determining the best theoretical framework to combine recording of neural activity (calcium imaging, electrophysiology, EEG) and intervention on it (optogenetics, TMS). My computational neuroscience lab has developed long-term collaboration with many experimental laboratories including Christopher Harvey and Wei Lee (Harvard Medical School), Nikos Logothetis (Tuebingen), Tommaso Fellin (IIT), Mathew Diamond and Davide Zoccolan (SISSA), Alex Thiele (Newcastle), Cristina Becchio (IIT) and others. The PhD project will likely involve collaborations with one or more experimental lab. For recent representative publications please see: van Vugt B, et al, (2018) Science: in press. DOI: 10.1126/science.aar7186 Zaldivar, D., et al, (2018) Current Biology 28: 224-235 Runyan C. A., et al (2017) Nature: 548: 92-96 Panzeri, S, et al (2017) Neuron 93: 491-507 Safaai, H. et al (2015) Proc. Natl. Acad. Sci. USA 112(41): 12834?12839 Fasoli, D. et al (2016) PLoS Computational Biology, 12(8): e1004992. Panzeri, S., et al (2015) Trends in Cognitive Sciences 19: 162-172 Einevoll, G., et al (2013) Nature Reviews Neuroscience, 14, 770-785 The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is needed. However, a keen interest in understanding the brain is essential. The deadline for the formal application is set to *May 15thst 2019*, but interested candidates are invited me to contact me informally by email ( stefano.panzeri at iit.it) *as soon as possible,* and no later than May 8th 2019, by attaching their CV and briefly explaining their interest in this position, to initiate discussion about potential PhD projects of interest. In order to formally apply to the PhD Position, candidates will then need to refer to the call published by Universit? degli Studi di Bologna ( https://www.unibo.it/en/teaching/phd/2019-2020/data-science-and-computation). The PhD position available for projects under my supervision is one of those financed by IIT. Candidates that are wishing to apply will be able to rely on my advice and feedback to understand how to complete the application. Yours truly, Stefano Panzeri -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkordjam at tulane.edu Sat Apr 27 12:48:49 2019 From: pkordjam at tulane.edu (Kordjamshidi, Parisa) Date: Sat, 27 Apr 2019 16:48:49 +0000 Subject: Connectionists: CFP: IJCAI-2019 Workshop on "Declarative Learning Based Programming" Message-ID: <5BC0BE3A-56F5-4D9A-BF76-D46555D9A9AD@tulane.edu> --------------------------------------------------------------- CALL FOR PARTICIPANTS ---------------------------------------------------------------- Forth International Workshop on Declarative Learning Based Programming (DeLBP-2019), in conjunction with 28th International Joint Conference on Artificial Intelligence (IJCAI-2019), August 10-16, 2019, Macao, China. Website: http://delbp.github.io. Submission Deadline: April 30th, 2019 --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- The main goal of Declarative Learning Based Programming (DeLBP) workshop is to investigate the issues that arise when designing and using programming languages that support learning from data and knowledge. DeLBP aims at new programming models and abstractions that facilitate the design and development of intelligent real world applications that use machine learning and reasoning. The challenges of such a programming paradigm include: Interaction with messy, naturally occurring data; Specifying the requirements of the application at a high abstraction level; Dealing with uncertainty in data and knowledge in various layers of the application program; Using representations that support relational learning with rich data representations; Using representations that support flexible reasoning and structure learning; Supporting model chaining and composition; Integrating a range of learning and inference algorithms; and finally addressing the above mentioned issues in one unified programming environment. Conventional programming languages offer no help to application programmers that attempt to design and develop applications that make use of real world data, and reason about it in a way that involves learning interdependent concepts from data, incorporating and composing existing models, and reasoning about existing and trained models and their parameterization. The goal of this workshop is to present and discuss the current related research and the way various challenges have been addressed. We aim at motivating the need for further research toward a unified framework in this area based on the key existing paradigms: Probabilistic Programming, Logic Programming, Probabilistic Logical Programming, First-order query languages and database management systems and deductive databases, Statistical relational learning, Deep Learning and related languages, End-to-End differentiable programming and connect these to the ideas of Learning Based Programming. We aim to discuss and investigate the required type of languages and representations that facilitate modeling complex learning models, deep architectures, and provide the ability to combine, chain and perform flexible inference with existing models and by exploiting domain knowledge. Highlight: Though the theme of this workshop remains generic as in the past versions, we will aim at emphasizing on ideas and opinions regarding using different types of knowledge (Declarative, procedural) in Statistical/Neural learning. ---------------------------------------------------------------- TOPICS OF INTEREST ????????????????????? * New programming abstractions and modularity levels towards a unified framework for (deep/structured) learning and reasoning, * Frameworks/Computational models to combine learning and reasoning paradigms. * Flexible use of structured and relational data from heterogeneous resources in learning. * Data modeling (relational/graph-based databases) issues in such a new integrated framework for learning based on data and knowledge. * The ability of closing the loop to acquire knowledge from data and data from knowledge towards life-long learning, and reasoning. * Exploiting declarative and procedural knowledge such as expert knowledge and common sense knowledge expressed via multiple formalisms, in learning. * Using declarative domain knowledge to guide the design of learning models, * including feature extraction, model selection, dependency structure and deep model architecture. * Design and representation of complex learning and inference models. * The interface for learning-based programming, * either in the form of programming languages, declarations, frameworks, libraries or graphical user interfaces. * Related applications in Natural language processing, Computer vision, Bioinformatics, Computational biology, multi-agent systems, etc. * End-To-End differential programming, Learning to learn programs and program synthesis if considering our specific perspective related to learning-based programs. ------------------------------------------------------------------ INVITED SPEAKERS ------------------------------------------------------------------ 1) Guy Van den Broeck , University of California Los Angeles 2) ..TBD ------------------------------------------------------------------ IMPORTANT DATES ------------------------------------------------------------------ Submission Deadline: April 30th, 2019 Notification: May 20th, 2019 Workshop Days: August 10-12, 2019 ------------------------------------------------------------------ SUBMISSION INFORMATION ------------------------------------------------------------------ We encourage contributions with either a technical paper (IJCAI style, 6 pages without references), a position statement (IJCAI style, 2 pages maximum) or an abstract of a published work. IJCAI Style files available here. Please make submissions via EasyChair, here. ---------------------------------------------------------------- ORGANIZING COMMITTEE ---------------------------------------------------------------- Parisa Kordjamshidi, Tulane University, IHMC Hannaneh Hajishirazi, University of Washington Quan Guo , Tulane University Nikolaos Vasiloglou, Ismion Inc Kristian Kersting, TU Darmstadt Dan Roth, University of Pennsylvania ---------------------------------------------------------------- CONTACT ---------------------------------------------------------------- delbp-4 at googlegroups.com (Organization Committee) ------------------------------------------- Kordjamshidi, Parisa Assistant Professor CS Department at Tulane University Research Scientist at IHMC Homepage -------------- next part -------------- An HTML attachment was scrubbed... URL: From ryan.philips at biotech.iitm.ac.in Sat Apr 27 13:01:50 2019 From: ryan.philips at biotech.iitm.ac.in (Ryan Philips) Date: Sat, 27 Apr 2019 13:01:50 -0400 Subject: Connectionists: Staff scientist position in the Section on Neurobiology of Fear and Anxiety, NIMH/NIH Message-ID: The National Institute of Mental Health (NIMH), a major research component of the National Institutes of Health (NIH), and the Department of Health and Human Services (DHHS), is seeking exceptional candidates for a Staff Scientist position in the Intramural Research Program (IRP), Section on Neurobiology of Fear & Anxiety. This section examines neural systems models of emotion/cognition interactions. This is done in two ways: one that focuses on anxiety in health and disease, and the other that uses a developmental perspective using large datasets. Four types of data are exploited, clinical/behavioral assessment, psychophysiology, fMRI (particularly 7T high-resolution scanner) and MEG. The candidate must have a doctoral degree (PhD) in computational neuroscience, or computer science/engineering and at least 5 years of experience post Ph.D. analyzing large datasets, modeling complex neural systems, using advanced machine learning algorithms. Experience with technical computing in MATLAB, R, C++ and a strong mathematical skill set is required. Knowledge of multi threaded and paralell computing environments is desirable. An interest in neuroscience or prior experience in neuroscience related fields is a plus. The staff scientist is expected to be a key member of the Section on Neurobiology of Fear and Anxiety, contributing to analytical methodology, design of new projects. Salary will be commensurate with education and experience. Applicants should send curriculum vitae and two letters of recommendation to Monique Ernst, MD, PhD, 301-675-4525, ernstm at mail.nih.gov. Applications will be accepted beginning April 1st. The position will be open until filled. HHS and NIH are Equal Opportunity Employers. Applications from women, minorities and persons with disabilities are strongly encouraged. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Sun Apr 28 13:55:35 2019 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Sun, 28 Apr 2019 20:55:35 +0300 Subject: Connectionists: ACM Multimedia: Submit Art, Software, Demos, Ideas, and more (deadline 20 May 2019) Message-ID: ACM Multimedia 2019: Submit Art, Software, Demos, Ideas, and more (20 May) ACM Multimedia features a variety of interesting tracks alongside of the main conference track. We welcome your submissions to the following tracks. Submission deadline is Monday 20 May 2019. Open Source Competition: Submit your open source software (plus short-paper) https://www.acmmm.org/2019/call-for-open-source-software-competition/ Demos and Video Program: Call for demos and videos (two page proposal) https://www.acmmm.org/2019/technical-demos-and-videos-program/ Brave New Ideas: Call for full papers on new ideas with impact https://www.acmmm.org/2019/call-for-brave-new-ideas/ Multimedia Art: Call for multimedia artwork for the multimedia art exhibition https://www.acmmm.org/2019/multimedia-art/ Doctoral Symposium: Call for short papers by PhD students on their research https://www.acmmm.org/2019/call-for-doctoral-symposium-contributions/ Panel Proposals: Propose a panel to discuss a current topic of importance https://www.acmmm.org/2019/call-for-panels/ Tutorial Proposals: Propose to give a tutorial on a multimedia topic https://www.acmmm.org/2019/call-for-tutorials/ ACM Multimedia is the premier international conference in the area of multimedia within the field of computer science. Multimedia research focuses on integration of the multiple perspectives offered by different digital modalities including images, text, video, music, sensor data, spoken audio. The conference covers four themes: Engaging users with multimedia, Multimedia experience, Multimedia systems and Understanding multimedia content. ACM Multimedia 2019 will be held 21 - 25 October 2019, Nice, France For a full list of important dates, please refer to: https://www.acmmm.org/2019/important-dates Other upcoming deadlines include workshop submissions https://www.acmmm.org/2019/accepted-workshops/ Grand Challenge submissions https://www.acmmm.org/2019/multimedia-grand-challenges/ On behalf of the Publicity Chairs, Prof. Bogdan IONESCU ETTI - University Politehnica of Bucharest http://campus.pub.ro/lab7/bionescu/ From nemanja at temple.edu Sun Apr 28 17:00:28 2019 From: nemanja at temple.edu (Nemanja Djuric) Date: Sun, 28 Apr 2019 17:00:28 -0400 Subject: Connectionists: 2nd CfP - AdKDD @ KDD2019 Message-ID: Call for Workshop Papers AdKDD 2019 in conjunction with The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019) Anchorage, Alaska, USA, August 4th-8th, 2019 http://www.adkdd.org Today, the average consumer spends 8+ hours a day across all devices interacting with online content almost entirely sponsored by advertisements. At $300B market share by 2020, online advertising and in particular computational advertising is perhaps the most visible and ubiquitous application of machine learning and one that interacts directly with consumers. When done right, ads help us enrich our lives and creep us out when done badly. Looking at the published literature over the last few years, many researchers might consider computational advertising as a mature field. Yet, the opposite is true. Computational advertising is evolving, however, from ads controlled by monolithic publishers and randomly rotating banner ads to highly personalized content experiences in new feeds on mobile devices and even on TV?all utilizing data amassed from petabytes of stored user data. Ads are far from done. AdKDD & TargetAd workshops have had a lot of interest and success in the past years. Total of twelve workshops have been organized every year since 2007, focusing on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. Motivated by these successes, for 2019 we are fully merging the two workshops under one name, and are happy to announce AdKDD 2019, which will bring a strong program with invited talks from leaders in the advertising industry. We look forward to seeing you in Anchorage to discuss the past, present, and future of computational advertising! Topics: ======= The workshop focuses on three main aspects of computational advertising. Evolution of computational advertising: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers and others, challenge the traditional notions of advertising. There also continues to exists controversial issues in advertising such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. Large-scale and novel ad targeting: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. Deployed systems & battle scars: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data and audience insights, as well as position papers on the future of online advertising. Submission Instructions: ======================== Following KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here. All accepted papers will be published in the ACM Digital Library and invited to present posters at the workshop. Important Deadlines: ==================== Submission : May 12th, 2019 Decisions : June 2nd, 2019 Camera-ready : June 15th, 2019 Workshop : August 5th, 2019 Best Paper Awards: ================== We are happy to announce that we will award best accepted papers for this year?s workshop. Details are to be disclosed shortly. Submission Website: =================== https://easychair.org/conferences/?conf=adkdd2019 Program Committee Chairs: ========================= Abraham Bagherjeiran (Amazon) Nemanja Djuric (Uber ATG) Mihajlo Grbovic (Airbnb) Kuang-chih Lee (Alibaba) Kun Liu (Amazon) Vladan Radosavljevic (Spotify) Suju Rajan (Criteo Research) For further questions please contact a member of the organizing committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From c.decampos at uu.nl Mon Apr 29 04:59:49 2019 From: c.decampos at uu.nl (Polpo de Campos, C. (Cassio)) Date: Mon, 29 Apr 2019 08:59:49 +0000 Subject: Connectionists: ISIPTA 2019: call for posters Message-ID: <77E4CB50-E38E-46CD-870B-174393BBE763@uu.nl> Our call for papers teasingly stated that ?There?s more to uncertainty than probabilities? and set out to try and convince you that ISIPTA 2019 is a good place for discussing such matters. The paper submission deadline has passed, but rest assured, you can still present your work at ISIPTA, because poster abstract submission has opened. These poster abstracts are intended for discussing preliminary results and open questions, and also for bringing already published results to the attention of the ISIPTA audience. Each accepted poster abstract will be announced in a one-minute plenary spotlight presentation, and the accompanying poster will be presented at length during one of the discussion sessions. Given the prominent role of poster presentations at ISIPTA, these sessions provide you with a genuine opportunity for presenting your work to the ISIPTA audience. Furthermore, as icing on the cake, presenting a poster also makes you eligible for one of our poster awards. The deadline for poster submission is June 7. You can submit at any time before that, though, and we will provide you with a decision within two weeks. Furthermore, for poster abstracts that are submitted before May 6, we guarantee a decision announced before the early registration deadline of May 15. Not convinced yet? Then perhaps the following features can persuade you. We?d like to highlight the availability of grants for attendees with limited funding, and the possibility of applying for the IJAR Young Researcher Award. Basic info: ISIPTA 2019 is the 20-year anniversary edition of the world?s main forum on imprecise probabilities. It will take place in Ghent, Belgium, from 3 to 6 July 2019, and is currently open for registration. All details are available at http://isipta2019.ugent.be. Scope: The ISIPTA conferences are devoted to robustness and imprecision in uncertainty modelling, inference and decision making, focusing in particular on uncertainty frameworks that extend or replace the probabilistic one. Invited speakers: ISIPTA 2019 will feature keynote talks by Thomas Dietterich, Vladimir Vovk and Aharon Ben-Tal, respectively on robust AI, game-theoretic probability and robust optimization, and how these relate to imprecise probabilities. Additionally, on the occasion of ISIPTA?s 20-year anniversary, four former presidents of SIPTA will give invited talks on topics close to their hearts. Concept: Each accepted contribution is presented and discussed, in two separate sessions. Presentations are short and always plenary. Detailed explanations and discussions are face-to-face, typically with the aid of a poster and a flipchart. Atmosphere: ISIPTA conferences are characterised by a friendly and cooperative style, a strong emphasis on in-depth discussion and openness to new ideas. We hope that you too will enjoy and contribute to this unique atmosphere. Venue: Ghent has been called ?Belgium?s best kept secret? by the Lonely Planet travel guide and a ?medieval masterpiece? by The Guardian. The conference takes place in an old Augustinian monastery, situated in its historic city centre. Social programme: In order to blow off the accumulated academic steam, the programme also features several social activities, such as an opening reception at the town hall, a guided boat trip along the city centre canals, and a conference dinner with regional specialties, including some of our excellent Belgian beers. Types of contributions: We accept long papers, short papers and poster abstracts. The deadline for papers has passed though. The deadline for poster abstract submission is the 7th of June. For poster abstracts that are submitted before the 6th of May, we guarantee a decision before the early registration deadline of May 15. Grants: For researchers who would like to attend ISIPTA 2019, but are unable to do so due to budget constraints, we have grants available to cover (part of) the costs. Preference will be given to PhD students, but the grants are also open to more senior researchers. Information on how to apply is available on our website. Awards: ISIPTA 2019 will hand out an IJAR Young Researcher Award (for excellent research in the area of imprecise probabilities) and several poster prizes. The former is sponsored by the International Journal of Approximate Reasoning, the latter by Wiley and Springer. The deadline for applying for the IJAR Young Researcher Award is the 7th of June; the rules for application are available on our website. Anyone who presents a poster (either for a paper or poster abstract) is eligible for the poster prizes. We look forward to receiving your contribution and to seeing you in Ghent. The ISIPTA 2019 Steering Committee F. Cozman (University of Sao Paulo, Brazil) J. De Bock (Ghent University, Belgium) G. de Cooman (Ghent University, Belgium) C. de Campos (Utrecht University, The Netherlands) E. Quaeghebeur (Delft University of Technology, The Netherlands) T. Seidenfeld (Carnegie Mellon University, USA) G. Wheeler (Frankfurt School of Finance and Management, Germany) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Mon Apr 29 07:06:01 2019 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Mon, 29 Apr 2019 11:06:01 +0000 Subject: Connectionists: Abstract deadline soon (May 10th) for the UK Neural Computation 2019 meeting In-Reply-To: References: Message-ID: A reminder that the abstract submission deadline for the UK Neural Computation 2019 meeting is May 10th. There will not be any extension! Abstract submission is here: https://drmdhumphries.wixsite.com/ukneuralcomp2019/abstracts Decisions due: May 24th For full programme details and registration, please see the website: https://drmdhumphries.wixsite.com/ukneuralcomp2019 Registration closes June 21st 2019 Confirmed speakers: Athena Akrami / Andy Barron / Tim Behrens / Claudia Clopath / Matthias Hennig / Simon Laughlin / Rosalyn Moran / Cian O'Donnell / Chris Summerfield / Tim Vogels / Barbara Webb Kind regards Mark Humphries (Chair) Hannes Saal, Robert Schmidt, and Stuart Wilson (Organising committee) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From haim.dub at gmail.com Mon Apr 29 08:06:15 2019 From: haim.dub at gmail.com (dubossarsky haim) Date: Mon, 29 Apr 2019 13:06:15 +0100 Subject: Connectionists: Deadline extension CfP: Typology for Polyglot NLP - a workshop @ ACL 2019 Message-ID: [Apologies for x-posting] Deadline extension (May 10th): Call for Abstracts ============================ Typology for Polyglot NLP (TyP-NLP), a workshop to be held at the 2019 meeting of the Association for Computational Linguistics (ACL) in Florence, Italy, is now accepting submissions. Contact Email: typology-and-nlp at googlegroups.com Website: typology-and-nlp.github.io Workshop description ==================== The huge diversity of human languages leads to an inherent variation of the cross-lingual data with respect to the categories and structures in the languages? surface level. This results in poor performances of NLP algorithms when trying to transfer between languages. Linguistic typology provides a systematic, empirical comparison of the languages of the world with respect to a variety of linguistic properties, and therefore holds promise to solve this problem. However, typological information has not yet been fully exploited. Our workshop aims at bridging this gap by encouraging a tighter collaboration of the scientific communities from the areas of linguistic typology and multilingual NLP. TyP-NLP workshop is the first dedicated venue for typology-related research and its integration in multilingual NLP. The workshop is specifically aimed at raising awareness of linguistic typology and its potential in supporting and widening the global reach multilingual NLP. The topics of the workshop will include, but are not limited to: - **Language-independence in training, architecture design, and hyperparameter tuning.** Is it possible (and if yes, how) to unravel unknown biases that hinder the cross-lingual performance of NLP algorithms and to leverage the knowledge on such biases in NLP algorithms? - **Integration of typological features in language transfer and joint multilingual learning.** In addition to established techniques such as ?selective sharing?, are there alternative ways to encoding heterogeneous external knowledge in machine learning algorithms? - **New applications.** The application of typology to currently uncharted territories, i.e. the use of typological information in NLP tasks where such information has not been investigated yet. - **Automatic inference of typological features.** The pros and cons of existing techniques (e.g. heuristics derived from morphosyntactic annotation, propagation from features of other languages, supervised Bayesian and neural models) and discussion on emerging ones. - **Typology and interpretability.** The use of typological knowledge for interpretation of hidden representations of multilingual neural models, multilingual data generation and selection, and typological annotation of texts. - **Improvement and completion of typological databases.** Combining linguistic knowledge and automatic data-driven methods towards the joint goal of improving the knowledge on cross-linguistic variation and universals. Important Dates =============== - Submission Deadline: Friday, May 10, 2019 (UTC-12) - Notification of Acceptance: Friday, May 24, 2019 - Camera-ready copy due from authors: Monday, June 3, 2019 - Workshop: Thursday, August 1, 2019 Submission Type =============== We accept **extended abstracts**. These may report on work in progress or may be cross submissions that have already appeared in a non-NLP venue. The extended abstracts are of maximum 2 pages + references. These submissions are non-archival in order to allow submission to another venue. The selection will not be based on a double-blind review and thus submissions of this type need not be anonymized. The abstracts should use ACL 2019 templates. These should be submitted via softconf: https://www.softconf.com/acl2019/typnlp/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From vcutsuridis at gmail.com Mon Apr 29 11:13:40 2019 From: vcutsuridis at gmail.com (Vassilis Cutsuridis) Date: Mon, 29 Apr 2019 16:13:40 +0100 Subject: Connectionists: Athens International MSc in Neurosciences -- now accepting 2019-20 applications In-Reply-To: References: Message-ID: Apologies for cross-posting ? please forward to any interested party. / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / *Applications for the 2019-20 MSc programme in* *Athens International Master's in Neurosciences * *at National and Kapodistian University of Athens, Greece* *are now OPEN.* / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / This cutting-edge Masters programme is a combined effort of several Athens-based departments and research centers including the - Department of Biology of the National and Kapodistrian University of Athens - Department of Nursing of the National and Kapodistrian University of Athens - Department of Dentistry of the National and Kapodistrian University of Athens - School of Medicine of the National and Kapodistrian University of Athens - Foundation for Biomedical Research of the Academy of Athens - National Center for Scientific Research "Demokritos" - Hellenic Pasteur Institute - Biomedical Sciences Research Center ?Alexander Fleming? which builds on the multi-disciplinary research profiles of its staff. Teaching and research staff includes Greek and International professors and researchers of Greek and International Universities and Research Centers. *All lectures are taught in English*. The programme equips students with a rigorous grounding in experimental and computational methods of neurosciences; it also provides them with the opportunity to apply the knowledge they acquired in a practical research project, which may be carried out in collaboration with one of the Masters programme?s industry partners. ** COURSE OUTLINE ** ????????? This is a two-year MSc degree programme, consisting of taught courses (12 months) plus research project and dissertation (12 months). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering) interested in how the brain and mind works. The core contents of this course include (i) Fundamentals of experimental neurosciences (developmental neuroscience, cellular and molecular neuroscience, neuroanatomy, neurobiological bases of diseases of the nervous system, neuropharmacology, neuroimmunology, neuroendocrinology. behavioral neuroscience, electrophysiology, neuroimaging), (ii) Lab rotations, and (iii) Concepts,methods of computational modelling, data analytics and machine learning. Unlike other standard neuroscience programmes (focusing predominantly either on ?low-level? or "high-level" aspects of neuroscience), one of the distinctive features of this course is that it covers the whole spectrum of the neurosciences bridging the gap between molecular and cellular neuroscience to high-level cognitive processes (e.g., language, attention, and decision making) including computational neuroscience and big data analytics. The final research project and dissertation is carried out in collaboration with an external partner, either from academia or industry. ** WHY STUDY IN ATHENS ** -------------------------------------- Aside from mastering neuroscience, you can also enjoy the largest open-air museum during its mostly sunny and dry days. These include Acropolis and Parthenon, the Odeon of Herodes Atticus, the Arch of Hadrian, the Theatre of Dionysus, Panathenaic Stadium-Kallimarmaro, the iconic Temple of Olympian Zeus, pedestrian avenue of Dionysios Areopagitou, Pnyx Hill, Thiseio, Monastiraki, Plaka and etc, that are full of temples and ancient and Byzantine monuments. In addition, Athens has great museums incunding the Acropolis meuseum, the National Archaeological museum, the museum of Modern Art, the museum of Greek Folk Art and of Greek Folk Musical Instruments, the War Museum, the Benaki Museum, the Museum of Cycladic Art, the National Gallery, and others. You will also have the opportunity to enjoy excellent nature and coast line and the easily reached Aegean islands. ** TUITION FEES ** ????????? *F**ull time EU students*: 2000 Euros per year *Full time non-EU students*: 3000 Euros per year *Part time students*: 500 Euros per semester during the first two years and 1000 Euros per semester during the third year. ** HOW TO APPLY ** ????????? *Applications for the 2019-20 and 2020-21 Academic Years are now open. * To fill in an application, click on this link and follow the instructions: http://masterneuroscience.biol.uoa.gr/admissions.html *NOTE: places are limited.* We recommend submitting an application as soon as possible to ensure a place on the programme. For any further information about the course, please visit: http://mastermeuroscience.biol.uoa.gr Should you have any questions, please do not hesitate to contact me. I look forward to receiving your application soon! With very best wishes, Professor Spiros Efthimiopoulos ( efthis at biol.uoa.gr ) ? Spiros Efthimiopoulos Professor Director of the Master's Programm: "Athens International Master's Programme in Neurosciences" University of Athens Department of Biology Division of Animal and Human Physiology Central Building, 3nd Floor, Room 38 or 44 157 84 Panepistimiopolis, Ilisia Athens, Greece Tel# ++ 30 210 7274890, ++306974874328 Fax# ++ 30 210 7274635 E-mail: efthis at biol.uoa.gr / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Mon Apr 29 11:49:54 2019 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Mon, 29 Apr 2019 17:49:54 +0200 Subject: Connectionists: Call for Papers: EMMCVPR 2019 (Wuhan, China) In-Reply-To: References: Message-ID: Call for Papers *EMMCVPR 2019* *12th International Conference on Energy Minimization Methods inComputer Vision and Pattern Recognition* 23 ? 25 October 2019 Wuhan, China http://captain.whu.edu.cn/EMMCVPR2019/ *>>> Submission deadline: 27 July 2019 <<<* Energy minimization methods have become an established computational paradigm in computer vision and pattern recognition. EMMCVPR is a regular bi-annual conference, established in 1997, dedicated to advancing the state of the art in this field. The scientific program will include the presentation of invited plenary talks and contributed research papers. Topics of interest include (but are not limited to): - Discrete and continuous optimization - Convex programming and relaxations - PDE and variational methods - Stochastic optimization - Spectral methods - Graphical models and markov random fields - Statistical methods and learning - Graph-theoretic and network-based methods - Analysis of deep architectures - Adversarial and game-theoretic models - Combinatorial optimization Application areas include (but are not limited to): - Object recognition and detection - Scene understanding - Segmentation and grouping - Restoration and inpainting - Color and texture - Computational photography - Photo and video editing - Motion and tracking - Matching and registration - Medical image analysis - Pose estimation - Action and event recognition - Shape analysis - Shape-from-X - Stereo and 3D reconstruction - Multiview geometry - Vision for graphics *Paper submission* All papers (not exceeding 14 pages) must be submitted electronically at the conference website . All submissions will be subject to a rigorous peer-review process. Accepted papers will appear in the workshop proceedings, which will be published in Springer?s Lecture Notes in Computer Science (LNCS) series after the conference (approval pending). *Important dates* - Paper submission: 27 July 2019 - Notifications: 31 August 2019 - Conference: 23 - 25 October 2019 - Camera ready due: 1 December 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Mon Apr 29 13:53:04 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Mon, 29 Apr 2019 13:53:04 -0400 Subject: Connectionists: NEURAL NETWORKS, May 2019 Message-ID: Neural Networks - Volume 113, May 2019 http://www.journals.elsevier.com/neural-networks Unsupervised robust discriminative manifold embedding with self-expressiveness Jianwei Li A structure-time parallel implementation of spike-based deep learning Xi Wu, Yixuan Wang, Huajin Tang, Rui Yan Policy search in continuous action domains: An overview Olivier Sigaud, Freek Stulp Continual lifelong learning with neural networks: A review German I. Parisi, Ronald Kemker, Jose L. Part, Christopher Kanan, Stefan Wermter Prediction and identification of discrete-time dynamic nonlinear systems based on adaptive echo state network Xianshuang Yao, Zhanshan Wang, Huaguang Zhang Deep associative neural network for associative memory based on unsupervised representation learning Jia Liu, Maoguo Gong, Haibo He Deep divergence-based approach to clustering Michael Kampffmeyer, Sigurd Lokse, Filippo M. Bianchi, Lorenzo Livi, ... Robert Jenssen Fixed-time synchronization of quaternion-valued memristive neural networks with time delays Ruoyu Wei, Jinde Cao Stability analysis of Cohen-Grossberg neural networks of neutral-type: Multiple delays case Neyir Ozcan Finite-time cluster synchronization for a class of fuzzy cellular neural networks via non-chattering quantized controllers Rongqiang Tang, Xinsong Yang, Xiaoxiao From maroua.mehri at gmail.com Mon Apr 29 17:45:41 2019 From: maroua.mehri at gmail.com (Maroua MEHRI) Date: Mon, 29 Apr 2019 23:45:41 +0200 Subject: Connectionists: LAST DAY TO REGISTER -- ICDAR 2019 Competition on Historical Book Analysis (ICDAR-2019-HDRC-HBA) Message-ID: **Our apologies for multiple receptions** ================================= *Call for Participation* ================================= *ICDAR 2019 Competition on Historical Book Analysis* ================================= *Call for Participation* ================================= We invite you to participate in our challenges on Historical Book Analysis ( HBA) Competition in the context of the 15th IAPR International Conference on Document Analysis and Recognition (ICDAR?19 ). We remind you that the *registration of interest* is open until *April 30, 2019. * Register your interest here *(already 39 registered participants)**. * Challenges In conjunction with the 15th IAPR International Conference on Document Analysis and Recognition ICDAR? 19, the *HISTORICAL BOOK ANALYSIS COMPETITION (HBA) *is organized. The HBA competition will address a thriving topic of major interest of many researchers in different fields including *(historical) document image analysis*, *image processing* , *pattern recognition* and *classification*. The HBA competition will provide a *large experimental corpus* and a *thorough evaluation protocol* to ensure *a consistent comparison of image processing methods* for historical document image analysis. A challenging dataset called the *HBA 1.0 dataset* will be used at this occasion. The HBA 1.0 dataset is composed of *4436 real scanned ground-truthed one-page historical document images* (*2435 and 2001 manuscript and printed pages, respectively*.) from *11 books *(*5 manuscripts *and* 6 printed books*) in different languages and scripts published between the 13th and 19th centuries. The documents of the HBA 1.0 dataset are *gray-scale *or* color* images which were digitized at *300 *or* 400 dpi* and saved in the *TIFF format* which provides a high resolution of digitized images. Each selected foreground pixel is marked by a color that symbolizes the corresponding content type. *The ground truth information is currently available at the pixel level.* Two nested challenges are proposed in the HBA competition. *1- *The HBA competition will aim at evaluating how image analysis methods could *discriminate the textual content from the graphical ones* at *pixel level*. * 2- *It will aim at assessing the capabilities of the participating methods to *separate the textual content according to different text fonts* (e.g. lowercase, uppercase, italic, ?) at *pixel level*. How to participate *1- Register* your interest through the *registration form * (*before 30 April 2019*). * 2- *Specify clearly in which challenge you would like to participate (*challenge 1 only, challenge 2 only, both challenges 1 and 2*). * 3- *Download the *sample dataset* (*available from 10 January 2019*). * 4- *Download the *evaluation dataset* (*available from 01 March 2019*). *5- *Submit the *description* and the *results* of your methods (*before 31 May 2019*). Important dates *Date* *Description* *January 10, 2019* ? Opening of the registration to competition ? Publication of the sample dataset *April 30, 2019* ? Closure of the registration to competition ? Publication of the evaluation dataset ? Beginning of the competition *May 31, 2019* ? Deadline of the result submission ? Deadline of the submission of the description of the participating methods *June 15, 2019* ? Sending the competition results to the participants Organizers ? Maroua Mehri[1] ? Pierre H?roux[2] ? R?my Mullot[3] ? Jean-Philippe Moreux[4] ? Bertrand Co?asnon[5] ? Bill Barrett[6] [1] LATIS, Sousse University, Tunisia [2] LITIS, University of Rouen Normandy, France [3] L3i, University of La Rochelle, France [4] BnF - French national library, France [5] Intuidoc, IRISA Rennes, France [6] Family History Technology Lab, Brigham Young University, USA [image: ICDAR19_HBACompetition_LITIS_LATIS_L3i_BnF_Logos.png] ================================================================== *ICDAR 2019 Competition on Historical Book Analysis* See more information at our website: *http://hba.litislab.eu/ * Contact us on: *hba at litislab.eu * Follow us on Twitter: *@ icdar2019hba * Download the call for participation here: *http://hba.litislab.eu/wp-content/uploads/2019/01/ICDAR-2019-HDRC-HBA_CFP.pdf * ================================================================== -- Maroua MEHRI Assistant Professor, Ph.D. - Engineer in Computer Science Email address: maroua.mehri at gmail.com Postal address: National Engineering School of Sousse (ENISo), R2.01 office, 264 post-office box, 4023 Sousse Erriadh, Tunisia Personal Web site: https://sites.google.com/site/marouamehri/ -------------- next part -------------- An HTML attachment was scrubbed... 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Name: ICDAR-2019-HDRC-HBA_CFP.pdf Type: application/pdf Size: 615856 bytes Desc: not available URL: From mjose.escobar at gmail.com Mon Apr 29 14:22:16 2019 From: mjose.escobar at gmail.com (Maria Jose Escobar) Date: Mon, 29 Apr 2019 14:22:16 -0400 Subject: Connectionists: =?utf-8?q?AC3E_postdoctoral_positions=2C_Valpara?= =?utf-8?b?w61zbywgQ2hpbGU=?= Message-ID: POSTDOCTORAL OFFERS AT THE AC3E (Valpara?so, CHILE) -------------------------------------- The Advanced Center for Electrical and Electronic Engineering (AC3E, www.ac3e.cl) is offering up to four postdoctoral fellowships in the lines of research of the Center: Control and Automation, Renewable Energy and Power Conversion, Robotics, Biomedical Systems, Electrical Systems, and Data Analytics and Artificial Intelligence. The AC3E is part of Universidad T?cnica Federico Santa Mar?a - UTFSM - one of the most prestigious universities in Chile and Latin America. The Center was created in 2014 to group individual research efforts into multi- and inter-disciplinary teams and to focus research towards industry-related problems to spark innovation. UTFSM is ranked #1 in Latin America in Electronic & Electrical Engineering and in Automation & Control, according to the ARWU Shanghai Ranking of Academic Subjects 2018. One of the postdoctoral fellows will be part of the Clinical Research Center for the Improved Prevention, Diagnosis, and Treatment of Vocal Hyperfunction (P50 grant of the National Institute of Health - NIH, USA) that AC3E is part of through Dr. Mat?as Za?artu and other researchers. Required Documents 1. Cover letter explaining your interest in becoming part of AC3E. 2. Curriculum Vitae, including a list of publications. 3. Documentation providing evidence of the possession of a PhD or that the applicant is in the last stage of his/her doctoral studies. 4. Contact details of at least two referees, that may be contacted for a reference letter. Important Information - The postdoctoral fellowships are initially for a two-year period. - Required documents should be provided in English in a single PDF file. - AC3E is committed to gender diversity and we encourage women applicants to write confidently about their achievements. - The positions are for working at AC3E, located at UTFSM main campus in Valparaiso, Chile. - Selected candidates are expected to join AC3E no later than November 2019. - Deadline for application submissions is 31st of May, 2019. - Applications should be sent to ac3e at usm.cl with subject POSTDOC POSITIONS 2019-1 - Additional information can be found at www.ac3e.cl and at www.usm.cl - Further enquiries can be sent to ac3e at usm.cl -------------- next part -------------- An HTML attachment was scrubbed... URL: From arindamp at gmail.com Tue Apr 30 06:59:15 2019 From: arindamp at gmail.com (Arindam Pal) Date: Tue, 30 Apr 2019 20:59:15 +1000 Subject: Connectionists: CFP: ParLearning 2019 in conjunction with KDD 2019 Message-ID: ***************************************************************************************** * The 8th International Workshop on Parallel and Distributed Computing for * Large-Scale Machine Learning and Big Data Analytics (ParLearning 2019) * https://parlearning.github.io * August 5, 2019 * Anchorage, Alaska, USA * * Co-located with * The 25th ACM SIGKDD International Conference on * Knowledge Discovery and Data Mining (KDD 2019) * https://www.kdd.org/kdd2019/ * August 4 - August 8, 2019 * Dena?ina Convention Center and William Egan Convention Center * Anchorage, Alaska, USA ***************************************************************************************** Call for Papers Scaling up machine-learning (ML), data mining (DM) and reasoning algorithms from Artificial Intelligence (AI) for massive datasets is a major technical challenge in the time of "Big Data". The past ten years have seen the rise of multi-core and GPU based computing. In parallel and distributed computing, several frameworks such as OpenMP, OpenCL, and Spark continue to facilitate scaling up ML/DM/AI algorithms using higher levels of abstraction. We invite novel works that advance the trio-fields of ML/DM/AI through development of scalable algorithms or computing frameworks. Ideal submissions should describe methods for scaling up X using Y on Z, where potential choices for X, Y and Z are provided below. Scaling up o Recommender systems o Optimization algorithms (gradient descent, Newton methods) o Deep learning o Distributed algorithms and AI for Blockchain o Clustering (agglomerative techniques, graph clustering, clustering heterogeneous data) o Probabilistic inference (Bayesian networks) o Graph algorithms, graph mining and knowledge graphs o Graph neural networks o Autoencoders and variational autoencoders o Generative adversarial networks o Generative models o Deep reinforcement learning Using o Parallel architectures/frameworks (OpenMP, CUDA etc.) o Distributed systems/frameworks (MPI, Spark, etc.) o Machine learning frameworks (TensorFlow, PyTorch etc.) On o Various infrastructures, such as cloud, commodity clusters, GPUs, and emerging AI chips. Workshop Proceedings Accepted papers will be published in the conference proceedings by ACM and also appear in the ACM Digital Library. Awards Best Paper Award: The program committee will nominate a paper for the Best Paper award. In past years, the Best Paper award included a cash prize. Stay tuned for this year! Travel Awards: Students with accepted papers have a chance to apply for a travel award. Please find details on the ACM KDD 2019 web page. Important Dates o Paper submission: May 5, 2019 (Anywhere on Earth) o Author notification: June 1, 2019 o Camera-ready version: June 8, 2019 Paper Guidelines All submissions are limited to a total of 6 pages, including all content and references, and must be in PDF format and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available online at: https://www.acm.org/publications/proceedings-template. Papers that do not meet the formatting requirements will be rejected without review. All submissions must be uploaded electronically at https://www.easychair.org/conferences/?conf=parlearning2019. Special Issue We are planning to publish a special issue of a journal, consisting of the best papers of ParLearning 2019. We are about to publish a special issue of the Springer journal Future Generation Computer Systems, containing the selected papers of ParLearning 2017. Keynote Speakers o Professor V.S. Subrahmanian (Dartmouth College, Hanover, NH, USA) o Dr. Lifeng Nai (Google, Mountain View, CA, USA) Organizing Committee o General Chairs: Arindam Pal (TCS Research and Innovation, Kolkata, India) and Henri Bal (Vrije Universiteit, Amsterdam, Netherlands) o Program Chairs: Azalia Mirhoseini (Google AI, Mountain View, CA, USA), Thomas Parnell (IBM Research, Zurich, Switzerland) o Publicity Chair: Anand Panangadan (California State University, Fullerton, USA) o Steering Committee Chairs: Sutanay Choudhury (Pacific Northwest National Laboratory, Richland, WA, USA) and Yinglong Xia (Huawei Research America, Santa Clara, CA, USA) Technical Program Committee o Vito Giovanni Castellana, PNNL, USA o Daniel Gerardo Chavarria, PNNL, USA o Jianting Zhang, City College of New York, USA o Farinaz Koushanfar, UCSD, USA o Erich Elsen, Google Brain, USA o Kazuaki Ishizaki, IBM Research, Tokyo, Japan o Zhihui Du, Tsinghua University, China o Anand Eldawy, University of Minnesota, USA o Carson Leung, University of Manitoba, Canada o Lingfei Wu, IBM Watson Research Center, USA o Ananth Kalyanaraman, Washington State University, Pullman, USA o Animesh Mukherjee, IIT Kharagpur, India o Arnab Bhattacharya, IIT Kanpur, India o Dinesh Garg, IBM Research, India o Francesco Parisi, University of Calabria, Italy o Himadri Sekhar Paul, TCS Research and Innovation, India o Kripabandhu Ghosh, IIT Kanpur, India o Mayank Singh, IIT Gandhinagar, India o Nirmalya Roy, University of Maryland, Baltimore County, USA o Partha Basuchowdhuri, Heritage Institute of Technology, Kolkata, India o Sanjukta Bhowmick, University of North Texas, USA o Saptarshi Ghosh, IIT Kharagpur, India o Saurabh Paul, Kohl's, USA o Sourangshu Bhattacharya, IIT Kharagpur, India o Tanmoy Chakraborty, IIIT Delhi, India Past Workshops The first 7 editions of ParLearning were organized in conjunction with the International Parallel and Distributed Processing Symposium (IPDPS). The details of the past workshops can be found on the website http://parlearning.ecs.fullerton.edu. From 2019, the organizers have decided to conduct it with KDD. Regards, Arindam Pal, Ph.D. Research Scientist TCS Research and Innovation http://www.cse.iitd.ac.in/~arindamp/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From malin.sandstrom at incf.org Tue Apr 30 06:38:51 2019 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Tue, 30 Apr 2019 12:38:51 +0200 Subject: Connectionists: Call for SIG and WG meetings in Warsaw, before INCF's Neuroinformatics 2019. Deadline June 1. Message-ID: Dear all, INCF is calling for community proposals for Special Interest Group (SIG) and Working Group (WG) meetings to be held in Warsaw on 31 August 2019, the day before the INCF Assembly. The call is open both to new and existing INCF SIGs/WGs. *Deadline is June 1st.* INCF is working to make neuroscience more FAIR (Findable, Accessible, interoperable, Reusable), by promoting the creation and uptake of standards and best practices in neuroscience, as applied to tools and infrastructure, and by running a community endorsement process for new and existing standards and best practices. SIGs have an important role in this process, as community-initiated groups where users and developers can meet to align interests, set up working groups and work collaboratively to develop, refine, and implement new community standards and best practices to be proposed for endorsement. The SIGs also serve as the focus for getting agreement and community buy-in on the use of these standards and best practices. SIG meetings in Warsaw should aim to: - investigate the possibility to establish new SIGs (possible activities include: survey for possible members and group activities, draft a plan of activities from community input) - update community members on SIG activities and progress since last year (existing SIGs), invite community input - form Working Groups (possible activities include: general meeting, set deliverables (develop new or extend existing standards and best practices), work on an application for INCF Working Group funding WG meetings in Warsaw should aim to: - update community members on SIG activities and progress since last year (existing WGs), - invite community input, - solicit new members INCF will support both SIGs and Working Groups with meeting logistics at INCF-associated meetings during the upcoming year, as well as offer funding for Working Group activities. Please submit your proposals for SIG and WG meeting themes no later than *June 1st*. Note that the submitter is assumed to also be the meeting leader, unless otherwise stated. Any questions can be directed to Malin Sandstr?m, malin at incf.org Call page: https://www.incf.org/activities/standards-and-best-practices/incf-special-interest-groups/call-for-community-proposals INCF SIG pages: https://www.incf.org/activities/standards-and-best-practices/incf-special-interest-groups Best regards, Malin -- Malin Sandstr?m, PhD Community Engagement Officer malin.sandstrom at incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels v?g 15 A SE-171 77 Stockholm Sweden http://www.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From pkordjam at tulane.edu Tue Apr 30 16:08:27 2019 From: pkordjam at tulane.edu (Kordjamshidi, Parisa) Date: Tue, 30 Apr 2019 20:08:27 +0000 Subject: Connectionists: Deadline Extension: IJCAI-2019 Workshop on "Declarative Learning Based Programming" References: <5BC0BE3A-56F5-4D9A-BF76-D46555D9A9AD@tulane.edu> Message-ID: <84FF7041-1586-4B0C-8A2B-B2297EA923DF@tulane.edu> New Submission Deadline: May 12th, 2019. Please spread the word to your networks. --------------------------------------------------------------- CALL FOR PAPERS and PARTICIPANTS ---------------------------------------------------------------- Forth International Workshop on Declarative Learning Based Programming (DeLBP-2019), in conjunction with 28th International Joint Conference on Artificial Intelligence (IJCAI-2019), August 10-16, 2019, Macao, China. Website: http://delbp.github.io. --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- The main goal of Declarative Learning Based Programming (DeLBP) workshop is to investigate the issues that arise when designing and using programming languages that support learning from data and knowledge. DeLBP aims at new programming models and abstractions that facilitate the design and development of intelligent real world applications that use machine learning and reasoning. The challenges of such a programming paradigm include: Interaction with messy, naturally occurring data; Specifying the requirements of the application at a high abstraction level; Dealing with uncertainty in data and knowledge in various layers of the application program; Using representations that support relational learning with rich data representations; Using representations that support flexible reasoning and structure learning; Supporting model chaining and composition; Integrating a range of learning and inference algorithms; and finally addressing the above mentioned issues in one unified programming environment. Conventional programming languages offer no help to application programmers that attempt to design and develop applications that make use of real world data, and reason about it in a way that involves learning interdependent concepts from data, incorporating and composing existing models, and reasoning about existing and trained models and their parameterization. The goal of this workshop is to present and discuss the current related research and the way various challenges have been addressed. We aim at motivating the need for further research toward a unified framework in this area based on the key existing paradigms: Probabilistic Programming, Logic Programming, Probabilistic Logical Programming, First-order query languages and database management systems and deductive databases, Statistical relational learning, Deep Learning and related languages, End-to-End differentiable programming and connect these to the ideas of Learning Based Programming. We aim to discuss and investigate the required type of languages and representations that facilitate modeling complex learning models, deep architectures, and provide the ability to combine, chain and perform flexible inference with existing models and by exploiting domain knowledge. Highlight: Though the theme of this workshop remains generic as in the past versions, we will aim at emphasizing on ideas and opinions regarding using different types of knowledge (Declarative, procedural) in Statistical/Neural learning. ---------------------------------------------------------------- TOPICS OF INTEREST ????????????????????? * New programming abstractions and modularity levels towards a unified framework for (deep/structured) learning and reasoning, * Frameworks/Computational models to combine learning and reasoning paradigms. * Flexible use of structured and relational data from heterogeneous resources in learning. * Data modeling (relational/graph-based databases) issues in such a new integrated framework for learning based on data and knowledge. * The ability of closing the loop to acquire knowledge from data and data from knowledge towards life-long learning, and reasoning. * Exploiting declarative and procedural knowledge such as expert knowledge and common sense knowledge expressed via multiple formalisms, in learning. * Using declarative domain knowledge to guide the design of learning models, * including feature extraction, model selection, dependency structure and deep model architecture. * Design and representation of complex learning and inference models. * The interface for learning-based programming, * either in the form of programming languages, declarations, frameworks, libraries or graphical user interfaces. * Related applications in Natural language processing, Computer vision, Bioinformatics, Computational biology, multi-agent systems, etc. * End-To-End differential programming, Learning to learn programs and program synthesis if considering our specific perspective related to learning-based programs. ------------------------------------------------------------------ INVITED SPEAKERS ------------------------------------------------------------------ 1) Guy Van den Broeck , University of California Los Angeles 2) ..TBD ------------------------------------------------------------------ IMPORTANT DATES ------------------------------------------------------------------ Submission Deadline: April 30th, 2019 Notification: May 20th, 2019 Workshop Days: August 10-12, 2019 ------------------------------------------------------------------ SUBMISSION INFORMATION ------------------------------------------------------------------ We encourage contributions with either a technical paper (IJCAI style, 6 pages without references), a position statement (IJCAI style, 2 pages maximum) or an abstract of a published work. IJCAI Style files available here. Please make submissions via EasyChair, here. ---------------------------------------------------------------- ORGANIZING COMMITTEE ---------------------------------------------------------------- Parisa Kordjamshidi, Tulane University, IHMC Hannaneh Hajishirazi, University of Washington Quan Guo , Tulane University Nikolaos Vasiloglou, Ismion Inc Kristian Kersting, TU Darmstadt Dan Roth, University of Pennsylvania ---------------------------------------------------------------- CONTACT ---------------------------------------------------------------- delbp-4 at googlegroups.com (Organization Committee) ------------------------------------------- Kordjamshidi, Parisa Assistant Professor CS Department at Tulane University Research Scientist at IHMC Homepage -------------- next part -------------- An HTML attachment was scrubbed... URL: