From felix.putze at uni-bremen.de Fri Feb 1 10:41:15 2019 From: felix.putze at uni-bremen.de (Felix Putze) Date: Fri, 01 Feb 2019 15:41:15 +0000 Subject: Connectionists: Frontiers Research Topic "Brain-Computer Interfaces and Augmented/Virtual Reality": Deadline extended Message-ID: In recent years, Augmented and Virtual Reality (AR/VR) has matured technically and also has become a widely available tool to create a new range of applications and experiences. AR/VR technology allows to create scenarios which are much more stimulating and expressive than standard desktop applications, covering a wide variety of areas, namely entertainment, education, art, and health, among others. On the one hand, the fusion of Brain-Computer Interfaces (BCI) with AR/VR can provide additional communication channels, thus increasing the bandwidth of the human-AR/VR interaction. On the other hand, this combination can enhance existing BCI paradigms through immersive, multisensory experimental paradigms. In this Frontiers Research Topic, we are looking for: (1) studies that investigate active or passive BCIs to improve the usability or functionality of AR/VR applications, (2) studies which investigate realistic, immersive, and/or multisensory scenarios in AR/VR which make use of a BCI, (3) methodological and technical advancements related to the combination of AR/VR and BCI, and (4) applications for rehabilitation, therapy, art, entertainment, education, training, or other areas that result from the combination of BCI and AR/VR technology. The submission deadline for manuscripts has been extended to the *** 15th of March 2019 ***. More information: https://www.frontiersin.org/research-topics/8454/brain-computer-interfaces-and-augmentedvirtual-reality Editors: Felix Putze, University of Bremen Anatole L?cuyer, Institut National de Recherche en Informatique et en Automatique (INRIA) Dean Krusienski, Virginia Commonwealth University Sergi Berm?dez i Badia, University of Madeira Christian Herff, Maastricht University Athanasios (Thanos) Vourvopoulos, University of Southern California Timothy Mullen, Intheon Important dates: 15 March 2019 Manuscript submission (extended) -- Dr.-Ing. Felix Putze E-Mail: felix.putze at uni-bremen.de Phone: +49 421 218 64272 University of Bremen Cognitive Systems Lab (CSL) Enrique-Schmidt-Stra?e 5 (Cartesium) 28359 Bremen -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicolas.navarro.guerrero at gmail.com Fri Feb 1 06:56:25 2019 From: nicolas.navarro.guerrero at gmail.com (=?UTF-8?Q?Nicol=c3=a1s_Navarro-Guerrero?=) Date: Fri, 1 Feb 2019 12:56:25 +0100 Subject: Connectionists: [meetings] CfP Workshop on Naturalistic Non-Verbal and Affective Human-Robot Interactions, IEEE ICDL-EpiRob 2019 In-Reply-To: <96e33675-efd3-3b84-9461-33d4a774dae5@gmail.com> References: <96e33675-efd3-3b84-9461-33d4a774dae5@gmail.com> Message-ID: <0420704a-3dea-79fb-975e-9490069a86f4@gmail.com> *** Apologies for cross-posting *** Dear Colleagues, We would like to cordially invite you to submit a paper to the IEEE ICDL-EpiRob 2019 Workshop on Naturalistic Non-Verbal and Affective Human-Robot Interactions. ================================================================== Call for Contributions and Participation IEEE ICDL-EpiRob 2019 Workshop on Naturalistic Non-Verbal and Affective Human-Robot Interactions 19th August 2019, Oslo, Norway Website: https://nicolas-navarro-guerrero.gitlab.io/workshop-non-verbal-human-robot-interactions-icdl-epirob-2019/ Humans continually manifest non-verbal and affective cues and expressions used to foster cooperation, mutual understanding and signal trustworthiness. If these cues are not appropriately reciprocated, however, the interaction can be negatively impacted. Moreover, inappropriate reciprocation, or lack thereof, may be the result of misperception and or non-timely reactions. Failure to adequately account for biologically plausible perceptual and temporal facets of interactions may detract from the quality of human-robot interaction and hinder progress in the field of social robotics more generally. Incorporation of naturalistic and adaptive forms of sensorimotor and affective human-robot non-verbal communication is challenging because such interaction is highly dependent on the context and the relationship between the observer and the expresser. Biological species based interaction often requires explicit forms of social signalling such as nodding, nonverbal gestures, emotional expressions, etc., the interpretation of all of which may be highly context-sensitive. Furthermore, naturalistic social signalling may involve a certain degree of mimicry of autonomic responses such as pupil dilation, blinking, blushing, etc. which, in human-robot interaction requires the implementation of time-sensitive perceptual mechanisms currently underused in both commercial and research robotics platforms. In this workshop, we will investigate and discuss to what extent the aforementioned naturalistic social signalling capabilities needs to be accounted for in human-robot interaction and what modalities are more relevant, and in what contexts. The workshop will focus strongly on research motivated by naturalistic empirical data. We hope to provide a discussion friendly environment to connect with research covering complementary interests in the areas of robotics, computer science, psychology, neuroscience, affective computing and animal learning research. The primary list of topics covers the following (but not limited to): - Emotion recognition - Gesture recognition - Social gaze recognition - The development of expression and recognition capabilities - Joint visual attention and activity - Alignment in social interactions - Non-verbal cues in human-robot interaction Invited Speakers Stefanie H?hl, University of Vienna, Austria Christian Balkenius, Lund University, Sweden Kerstin Dautenhahn, University of Waterloo, Canada Important Dates: Paper submission deadline: 12th May 2019 Notification of acceptance: 7th June 2019 Camera-ready version: 1st August 2019 Workshop: 19th August 2019 Participants are invited to submit short papers (max. 4 pages) following the standard IEEE conference template, link at the workshop webpage. Send your PDF manuscript indicating [ICDL-EPIROB 2019] in the subject to: nng at ieee.org . Selected contributions will be presented during the workshop. Organizers: Nicol?s Navarro-Guerrero, Aarhus University, Aarhus, Denmark Robert Lowe, University of Gothenburg, Sweden Best regards, Nicol?s -- Nicol?s Navarro-Guerrero Assistant Professor Department of Engineering, and School of Culture and Society Aarhus University, Denmark E-mail: nng at eng.au.dk https://nicolas-navarro-guerrero.github.io/ https://socialrobotics.au.dk/ Aarhus University Finlandsgade 22, building 5125 8200 Aarhus N Denmark Tel.: +45 8715 0000 eng at au.dk www.eng.au.dk/en/ From nian.zhang6 at gmail.com Sun Feb 3 14:13:29 2019 From: nian.zhang6 at gmail.com (Pub Conference) Date: Sun, 3 Feb 2019 14:13:29 -0500 Subject: Connectionists: Call for Papers - ICIST2019, Hulunbuir, Inner Mongolia, China, August 2-5, 2019 Message-ID: Please accept our sincere apologies if you receive multiple copies of this CFP. *Call for Papers*https://conference.cs.cityu.edu.hk/icist/ Following the successes of previous events, the 9th International Conference on Information Science and Technology (ICIST 2019) will be held in Hulunbuir (Hulunbeier), Inner Mongolia, China during August 2-5, 2019. Situated in northeastern China near the borders of Russia and Mongolia, Hulunbuir features picturesque grassland and nomadic culture. ICIST 2019 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. Authors are invited to submit full-length papers (8 pages maximum) by the submission deadline through the online submission system. In addition, proposals for special sessions within the technical scopes of the conference are solicited. Special session organizers are invited to enlist six or more papers with cohesive topics to form special sessions. The Proceedings has been contracted to be included in IEEE Xplore Digital Library and will be submitted for EI indexing. *Important Dates* Special session proposals deadline: March 1, 2019 Paper submission deadline: April 1, 2019 Notification of acceptance: May 1, 2019 Camera-ready copy and author registration: June 1, 2019 Conference: August 2-5, 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From kerstin.ritter at bccn-berlin.de Mon Feb 4 03:16:04 2019 From: kerstin.ritter at bccn-berlin.de (Kerstin Ritter) Date: Mon, 4 Feb 2019 09:16:04 +0100 (CET) Subject: Connectionists: Postdoc on cognitive and neural mechanisms of communication (Berlin) In-Reply-To: <6901659F-0EE5-423E-B04A-32CA6502F852@hu-berlin.de> Message-ID: <1484855179.143800.1549268164509.JavaMail.root@comms> ******************************************************************** Dear colleagues We currently have three open postdoctoral positions in our research project on Multimodal Interaction and Communication and two open postdoctoral positions in our research project Knowledge-Augmented Face Perception. All positions are situated within the Research Cluster ?Science of Intelligence? (SCIoI), funded by the German Research Foundation DFG. SCIoI is a joint project between the Technische Universit?t Berlin and the Humboldt-Universit?t zu Berlin, and includes research groups located at Universit?t Potsdam, Freie Universit?t Berlin, the Charit? ? Universit?tsmedizin Berlin and the Max Planck Institute for Human Development. 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 the start date is October 1, 2019. Principal Investigators: Rasha Abdel Rahman, Verena Hafner, John-Dylan Haynes Please follow this link for more information on the individual projects and information about the application process: https://www.scienceofintelligence.de/call-for-applications/open-positions/ ********************************************************************* -- Anna K. Kuhlen, Ph.D. Postdoctoral Researcher Neurocognitive Psychology Humboldt-Universit?t zu Berlin Institut f?r Psychologie Rudower Chaussee 18 12489 Berlin, Germany From vitordouzi at gmail.com Mon Feb 4 08:31:51 2019 From: vitordouzi at gmail.com (Vitor Mangaravite) Date: Mon, 4 Feb 2019 11:31:51 -0200 Subject: Connectionists: Last CfP: Text2Story'19@ECIR'19 Message-ID: *** Apologies for cross-posting *** ++ CALL FOR PAPERS ++ ****************************************************************************************** Second International Workshop on Narrative Extraction from Texts (Text2Story'19 at ECIR'19) held in conjunction with the 41st European Conference on Information Retrieval Cologne, Germany, April 14th, 2019 Website: http://bit.ly/text2story19 ****************************************************************************************** ++ Important Dates ++ *- Submission deadline (extended): February 11th, 2019* - Acceptance Notification Date: March 11th, 2019 - Camera-ready copies: March 22nd, 2019 - Workshop: April 14th, 2019 ++ Overview ++ The increasing availability of text information in the form of news articles, comments or posts in social networks poses new challenges for those who aim to understand the storyline of an event. Although understanding natural language text has improved over the last couple of years with several research works emerging on the grounds of information extraction and text mining, the problem of constructing consistent narrative structures is yet to be solved. It is not only the algorithms that need to be improved, but also the state-of-the-art that needs to advance in order to provide methods that automatically identify, interpret and relate the different elements of a narrative which will be likely spread from different sources. In this workshop we aim to foster the discussion of recent advances in the link between Information Retrieval (IR) and formal narrative representations from texts. More specifically, we aim to capture a wide range of multidisciplinary issues related to the text-to-narrative-structure and to its various related tasks. This is a very rich line of research that poses many challenging problems in information retrieval, text mining, information extraction, computational linguistics and automatic production of media content. ++ List of Topics ++ Research works submitted to the workshop should foster the scientific advance on all aspects of storyline generation from texts including but not limited to narrative and content generation, formal representation, and visualization of narratives. This includes the following topics (not limited): - Event Identification - Narrative Representation Language - Sentiment and Opinion Detection - Argumentation Mining - Narrative Summarization - Multi-modal Summarization - Storyline Visualization - Temporal Aspects of Storylines - Story Evolution and Shift Detection - Causal Relation Extraction and Arrangement - Evaluation Methodologies for Narrative Extraction - Big data applied to Narrative Extraction - Resources and Dataset showcase - Personalization and Recommendation - User Profiling and User Behavior Modeling - Credibility - Models for detection and removal of bias in generated stories - Ethical and fair narrative generation - Fact Checking - Bots Influence - Bias in Text Documents - Automatic Timeline Generation ++ Submission Guidelines ++ We invite two kinds of submissions: - Research papers (max 7 pages + references) - Demos and position papers (max 5 pages + references) Papers must be submitted electronically in PDF format through Easy Chair ( https://easychair.org/conferences/?conf=text2story2019). All submissions must be in English and formatted according to LNCS style ( http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines ) Submissions will be peer-reviewed by at least three members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (usually indexed on DBLP). ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. All papers will also be also presented in an interactive poster session. ++ Invited Speakers ++ TBA ++ Organizing committee ++ Al?pio M. Jorge (INESC TEC; University of Porto, Portugal) Ricardo Campos (INESC TEC; Polytechnic Institute of Tomar, Tomar, Portugal) Adam Jatowt (Kyoto University, Japan) Sumit Bhatia (IBM Research AI, India) ++ Proceedings Chair ++ ? Concei??o Rocha (LIAAD INESC TEC) ? Jo?o Paulo Cordeiro (INESC TEC; University of Beira Interior) ++ Web Chair ++ ? Arian Pasquali (INESC TEC) ++ Dissemination Chair ++ ? Vitor Mangaravite (UFMG; INESC TEC) ++ Program Committee ++ Nicola Ferro (University of Padova) Miguel Martinez-Alvarez (Signal) Jo?o Magalh?es (New University of Lisbon) Federico Nanni (University of Mannheim) Dhruv Gupta (Max Planck Institute for Informatics) Yihong Zhang (Kyoto University) Nuno Moniz (LIAAD/INESC TEC) Bruno Martins (IST and INESC-ID - Instituto Superior T?cnico, University of Lisbon) Mark Finlayson (Florida International University) Marc Spaniol (Universit? de Caen Normandie) Nina Tahmasebi (University of Gothenburg) Florian Boudin (Universit? de Nantes) Henrique Lopes Cardoso (University of Porto) Udo Kruschwitz (University of Essex) Mengdie Zhuang (The University of Sheffield) Daniel Loureiro (University of Porto) Daniel Gomes (FCT/Arquivo.pt) Pablo Gamallo (University of Santiago de Compostela) Paulo Quaresma (Universidade de Evora) S?rgio Nunes (University of Porto) ?lvaro Figueira (University of Porto) Ga?l Dias (Normandie University) Gerasimos Lampouras (The University of Sheffield) ++ Contacts ++ Website: http://bit.ly/text2story19 For general enquiries regarding the workshop, reach the organizers at: amjorge at fc.up.pt, ricardo.campos at ipt.pt, adam at dl.kuis.kyoto-u.ac.jp, sumitbhatia at in.ibm.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From pblouw at uwaterloo.ca Mon Feb 4 22:42:36 2019 From: pblouw at uwaterloo.ca (Peter Blouw) Date: Mon, 4 Feb 2019 22:42:36 -0500 Subject: Connectionists: Feb. 15 Application Deadline - 2019 Nengo Summer School Message-ID: [All details about this school can be found online at https://www.nengo.ai/summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 6th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to Loihi, Intel?s new neuromorphic research chip [1], and will learn to run high-level applications on Loihi using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [2], which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at last year's summer school, check out this short video: https://www.youtube.com/watch?v=NwtYgBB2N6I We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. [1] Davies, et al. (2018). Loihi: A neuromorphic manycore processor with on-chip learning. IEEE Micro. Vol. 38 no. 1 pp. 82-99. [ https://ieeexplore.ieee.org/document/8259423] [2] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] ***Application Deadline: February 15, 2019*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with neuromorphic hardware (e.g. Loihi, SpiNNaker) - build perceptual, motor, and cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more? Date and Location: June 9th to June 21st, 2019 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw at appliedbrainresearch.com). The school is also partly supported by ONR and ABR, Inc. We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From maneesh+connectionists at gatsby.ucl.ac.uk Mon Feb 4 13:14:14 2019 From: maneesh+connectionists at gatsby.ucl.ac.uk (Maneesh Sahani) Date: Mon, 04 Feb 2019 18:14:14 +0000 Subject: Connectionists: Theoretical Neuroscience faculty position (open rank) at the Gatsby Unit, UCL Message-ID: The Gatsby Computational Neuroscience Unit at University College London invites applications for an academic position in theoretical neuroscience at the rank of Lecturer (equivalent to Assistant Professor), Associate Professor, or Professor. The appointment will be made at a rank appropriate to the experience and international standing of the successful candidate. Established in 1998 through a generous grant from the Gatsby Charitable Foundation, the Gatsby Unit has been a pioneering centre for both theoretical neuroscience and machine learning. We have core funding to support six positions, associated postdocs and PhD students, and computational resources. Faculty may raise additional funds through grants from national and international funding bodies and charities. We have no undergraduate programme, so only graduate-level teaching and supervision is required. The Unit is located in London's vibrant West End, sharing a new purpose-built home with the Sainsbury Wellcome Centre (SWC) for Neural Circuits and Behaviour, near the Gower street campus. Our close connection with the SWC offers an unparalleled opportunity for theorists and experimentalists to work together towards an understanding of computation in neural systems. Both the Unit and SWC are embedded in the vibrant neuroscience community at UCL, with over 450 groups studying neural function at levels from the molecular to the cognitive. The Unit offers internationally competitive salaries. We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level. For informal enquiries, please contact Maneesh Sahani (maneesh at gatsby.ucl.ac.uk). All applications received before 28 February 2019 will be reviewed together. If the position remains unfilled following this review, further rounds of application will be considered. For more information, and a link to the online application portal, please visit http://www.gatsby.ucl.ac.uk/vacancies/ UCL vacancy reference: 1780734 -- Maneesh Sahani, Ph.D. Professor of Theoretical Neuroscience and Machine Learning, Director, Gatsby Computational Neuroscience Unit UCL, 25 Howland Street, London W1T 4JG From rveroneze at gmail.com Mon Feb 4 15:23:57 2019 From: rveroneze at gmail.com (Rosana Veroneze) Date: Mon, 4 Feb 2019 18:23:57 -0200 Subject: Connectionists: Post-doctoral Fellowship -- Automatic Detection of Epileptic Seizures Using Brain Activity Data Message-ID: *Post-doctoral Fellowship -- Automatic Detection of Epileptic Seizures Using Brain Activity Data* Post-doctoral grand funded by FAPESP (current grand values in http://www.fapesp.br/3162) Field of knowledge: Computer Engineering; Machine Learning FAPESP process # 2013/07559-3 Project title: BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology Working topics: Supervised Learning; Feature Extraction; Pattern Classification Number of places: 1 Starting date: March 15th 2019 Principal investigator: Fernando J. Von Zuben Institution: School of Electrical and Computer Engineering (UNICAMP) ? Campinas, SP ? Brazil Data of announcement: February 1st 2019 Deadline for submissions: February 22nd 2019 Address: Av. Albert Einstein, 400 ? Campus Zeferino Vaz, Campinas ? SP, Brazil E-mail for proposal submission: vonzuben at dca.fee.unicamp.br Please, use as e-mail subject: [POSTDOC ? BRAINN: Detection of Epileptic Seizures] *Summary* The Laboratory of Bioinformatics and Bioinspired Computing (LBiC) of the School of Electrical and Computer Engineering - Unicamp is looking for a highly qualified candidate for a post-doctoral fellowship to work on the automatic detection of epileptic seizures using data analytics and machine learning techniques. The fellowship is granted by the Sao Paulo Research Foundation -- FAPESP for a period of 24 months, with exclusive dedication (40 hours per week). *The proposal submission deadline is February 22**th* * 2019.* *Job Requirements and Primary Responsibilities* The selected candidate will work on the project entitled "BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology", more specifically in the subproject ?Multi-view multi-task learning methods to improve detection of epileptic seizures in multiple-patient datasets characterized by rare seizure events?. This project aims at investigating the impact of methodologies with multiple tasks (multiple patients) and multiple views (multiple feature extractions) to improve the quality of detection of epileptic seizures dealing with cases of scarcity or absence of occurrences of epileptic seizure events in the recorded data. Primary responsibilities include but are not limited to: - Development of machine learning methodologies capable of improving the performance in the detection of epileptic seizures, aiming at becoming the state-of-the-art in the field when dealing with scarce data, multiple patients and multiple feature sets. - Development and possible improvement of methodologies of feature extraction in EEG data, including the use of techniques of representation learning, usually associated with deep architectures in artificial neural networks. - Involvement in task-forces devoted to managing, integrating, analyzing, and interpreting brain activity datasets, thus converting raw data into a more informative representation capable of helping decision making. - Validation of the proposed solutions in clinical conditions. - Production of high-impact technical and scientific papers, patents and prototypes with socioeconomic potential value. - Active participation in the training of human resources in the research area. - Composition of reports and documentations associated with the project. *Skills and experience* - Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Statistics, or Applied Mathematics; - Experience in advanced solutions for machine learning is required. - Previous contact with medical datasets (mainly EEG), multitask learning, datasets with unbalanced data and multi-view learning is desirable but not mandatory. - Testified ability to perform statistical or mathematical formulation and proficiency in solving optimization problems is required. - Complete understanding of at least one computer language widely used in machine learning (e.g. Python, C, Matlab or R) is mandatory. - Proficiency in statistical or mathematical formulation environments (e.g. Matlab, R, SciPy, Gurobi, Sklearn and CVXOPT) is desirable but not mandatory. *Personal skills* - Strong motivation to work independently and as part of a multidisciplinary team. - Good skills in communication and in the establishment of partnerships with other research groups with common interests, including those composing CEPID / BRAINN. - Proactive and leadership spirit. *Languages* Communication and writing skills in English are required; *How to apply* Submissions and questions should be directed to Fernando J. Von Zuben?s e-mail: [vonzuben at dca.fee.unicamp.br]. Foreign applicants are welcome to apply. Please, use [POSTDOC ? BRAINN: Detection of Epileptic Seizures] as the subject of the e-mail and attach: (1) Curriculum vitae. (2) Names of two references with contact information. (3) A two-page summary of past research and relevant qualifications. (4) A link to a personal Web page, if available, where further information can be found. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Post-Doc Position - BRAINN - FJVZ.pdf Type: application/pdf Size: 72410 bytes Desc: not available URL: From c.decampos at uu.nl Mon Feb 4 10:50:41 2019 From: c.decampos at uu.nl (Polpo de Campos, C. (Cassio)) Date: Mon, 4 Feb 2019 15:50:41 +0000 Subject: Connectionists: ISIPTA 2019: one month until paper submission closes Message-ID: Our first call for papers teasingly stated that ?There?s more to uncertainty than probabilities? and set out to convince you that ISIPTA 2019 is a good place for discussing such matters. If you did not receive our first call, or are still undecided about submitting a paper or a poster, then let the features below convince you. We would like to highlight the paper submission deadline (1 March), the availability of grants for attendees with limited funding, and the announcement of our three keynote speakers: Thomas Dietterich, Vladimir Vovk and Aharon Ben-Tal. Basic info: ISIPTA 2019 is the 20-year anniversary edition of the world?s main forum on imprecise probabilities. It takes place in Ghent, Belgium, from 3 to 6 July 2019. 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 the Society for Imprecise Probability 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, a flipchart, or some other medium of your choice. 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. Papers are published in a volume of PMLR, unless explicitly preferred otherwise by their authors. In order to give you some leeway, we have moved the paper submission deadline back by two weeks: the final and hard deadline is the 1st of March. Poster abstracts, however, can be submitted until a couple of weeks before the conference, but will not appear in PMLR. Grants: For researchers who would like to attend ISIPTA 2019, but are unable to do so due to budget constraints, we now 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. 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) From george at cs.ucy.ac.cy Tue Feb 5 05:45:49 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Tue, 5 Feb 2019 12:45:49 +0200 Subject: Connectionists: The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Last Call for Tutorial Proposals In-Reply-To: <31E2A0CF-A9B3-4B1F-B35B-3AA5FE9BA74C@cs.ucy.ac.cy> References: <9D907F9B-A04A-43F0-8623-6D92E4132AC9@cs.ucy.ac.cy> <46CA4E92-4B9B-4D1B-8B60-A1D0C2701DE3@cs.ucy.ac.cy> <24094F96-58F5-466E-A748-E91B9EC6E8A2@cs.ucy.ac.cy> <95F40EA8-2662-46AD-B301-3385D4B8601B@cs.ucy.ac.cy> <05EDB924-A9A7-4E3B-8E36-05EAE5D4242A@cs.ucy.ac.cy> <6FC69A4B-F456-4336-A7CC-2AAE2723CB67@cs.ucy.ac.cy> <3D0926CD-0237-493E-BBD1-914DD649F38F@cs.ucy.ac.cy> <66C85F2E-2E7D-4CFC-9BFF-ED6926E34DD9@cs.ucy.ac.cy> <87A185A1-0F32-441B-A0D0-F088969A82DF@cs.ucy.ac.cy> <10B49D4E-3C6A-4AE3-BBC6-679AB0B65AE9@cs.ucy.ac.cy> <31E2A0CF-A9B3-4B1F-B35B-3AA5FE9BA74C@cs.ucy.ac.cy> Message-ID: <575717D1-A3BB-4DD1-B182-8CF19DA57191@cs.ucy.ac.cy> *** LAST CALL FOR TUTORIAL PROPOSALS *** 27th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019 https://www.um.org/umap2019/ Proposals due: February 11, 2019 ACM UMAP 2019, the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and which collect, represent, and model user information, is pleased to invite proposals for tutorials to be given in conjunction with the conference. Tutorials are intensive instructional sessions aimed to provide a comprehensive introduction to established or emerging research topics of interest for the UMAP community. Topics of interest include, but are not limited to: ? new user modeling technologies, methods, techniques, and trends (e.g. exploiting data mining and big data analytics for user modeling, evaluation methodologies, data visualization, etc.); ? user modeling and personalization techniques for specific domains (e.g., health sciences, e-government, e-commerce, cultural heritage, education, internet of things, mobile, music, information retrieval, etc.); ? application of user modeling and personalization techniques for information retrieval and recommender systems; ? eliciting and learning user preferences by taking into account users? emotional state, physical state, personality, trust, cognitive factors. An ideal tutorial should be broad enough to provide a basic introduction to the chosen area, but it should also cover the most important topics in depth. Tutorial presenters can have one page in the adjunct proceedings. PROPOSAL FORMAT AND SUBMISSION Tutorial proposals should be submitted in PDF format to both tutorial chairs, not exceeding 5 pages and containing the following information: 1. Title and abstract of the tutorial for inclusion on the ACM UMAP 2019 website (200 words maximum). 2. Tutorial description: ? learning objectives of the tutorial and relevance to ACM UMAP 2019; ? targeted audience (introductory, intermediate, advanced) and prerequisite knowledge or skills; ? a brief outline of the tutorial structure; ? practical sessions. 3. Tutorial length: full (6 hours) or half day (3 hours). 4. Other venues to which the tutorial or part thereof has been or will be presented, in addition to explaining how the current tutorial differs from the other editions. 5. Name, email address, affiliation and brief professional biography of the tutorial instructor(s), indicating previous training and speaking experience. IMPORTANT DATES ? Tutorial proposals: February 11, 2019 ? Notification of acceptance: February 26, 2019 ? Tutorial summary camera-ready: April 3, 2019 ? Adjunct proceedings camera ready: April 15, 2019 ? Tutorial day: June 9, 2019 EVALUATION CRITERIA All proposals will be reviewed by the tutorial chairs. The features that will be evaluated are: 1. ability of the tutorial to contribute to strengthening the foundations of UMAP research; 2. clarity of the tutorial, which should emerge from its description; 3. good organization, as appearing from the outline; 4. background/experience of tutorial instructor(s) in teaching the target topics. TUTORIAL CHAIRS ? Milos Kravc?k, German Research Center for Artificial Intelligence (DFKI), Germany (milos.kravcik AT dfki.de) ? Iv?n Cantador, Universidad Aut?noma de Madrid, Spain (ivan.cantador AT uam.es) -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomo.cabri at unimore.it Tue Feb 5 10:00:35 2019 From: giacomo.cabri at unimore.it (gcabri@unimore.it) Date: Tue, 5 Feb 2019 16:00:35 +0100 Subject: Connectionists: CfP: *NEW DEADLINE* 1st International Workshop on Key Enabling Technologies for Digital Factories (KET4DF) at CAiSE 2019 Message-ID: [ apologies for potential cross-postings ] ============================================= ???????? Call For Papers ?? 1st International Workshop on ?Key Enabling Technologies for Digital Factories ???? in conjunction with CAiSE 2019 ?????? 4th June 2019, Rome, Italy https://sites.google.com/view/ket4df2019 ============================================= ** NEW ** Paper submission deadline EXTENDED TO ** March 2nd, 2019, 11:59pm Hawaii Time (hard deadline) ** Scope --------------------- The manufacturing industry is entering a new digital era in which ICT technologies and collaboration applications will be integrated with traditional manufacturing practices and processes to increase flexibility and sustainability in manufacturing, mass customization, increase automation, better quality and improve productivity. This workshop seeks at providing the opportunity for inspiration and cross-fertilization for the research groups working on technological solutions for digital factories and smart manufacturing. We welcome innovative papers from academic and industrial researchers covering a wide range of topics of interests in the computer science and computer engineering fields. Topics of interest --------------------- The topics include but are not limited to: * Digital Platform Interoperability for Digital Factories * Internet-of-things for Smart Manufacturing * Digital Factories and End-to-end supply chains * Peer Manufacturing * Model-based development in Digital Factories * M2M interaction * Information Systems for Sustainable Value Networks * Information Systems Engineering for Additive Manufacturing * Manufacturing Enterprise Architecture Engineering * Big Data Technologies and Analytics for Smart Manufacturing * Cloud, Fog, Edge Computing and other programming techniques in Manufacturing Systems * Data Mining, Machine Learning and AI in Smart Manufacturing * Data-driven decision making in Industry 4.0 * Real-time Computing in Smart Manufacturing Environments * Proactive and Autonomous Computing in Digital Factories * Intelligent Cyber-Physical Systems and Digital Twins * Context-aware and Adaptive Systems in Smart Manufacturing and Digital Factories * Digital Security, Privacy and Liability * Business Process Modeling, Analysis and Engineering * Business Impact of Information Systems for Industry 4.0 * Advanced user interfaces for Industry 4.0 * Virtual and augmented reality for smart manufacturing Important Dates --------------------- Paper submission: March 2nd, 2019 Acceptance notification: March 16th, 2019 Workshop: June 4th, 2019 --------------------- Workshop Co-chairs: --------------------- Federica Mandreoli Universit? di Modena e Reggio Emilia, Italy Giacomo Cabri Universit? di Modena e Reggio Emilia, Italy Gregoris Mentzas National Technical University of Athens, Greece Karl Hribernik Bremer Institut f?r Produktion und Logistik GmbH (BIBA), Germany --------------------- Workshop web site: https://sites.google.com/view/ket4df2019 --------------------- --------------------- -- |----------------------------------------------------| | Prof. Giacomo Cabri - Ph.D., Full Professor | Dip. di Scienze Fisiche, Informatiche e Matematiche | Universita' di Modena e Reggio Emilia - Italia | e-mail giacomo.cabri at unimore.it | tel. +39-059-2058320 fax +39-059-2055216 |----------------------------------------------------| From cmummidise at sralab.org Tue Feb 5 17:28:41 2019 From: cmummidise at sralab.org (Krishna Mummidisetty) Date: Wed, 6 Feb 2019 03:58:41 +0530 Subject: Connectionists: Register Today for WearRAcon 19! Message-ID: <201902052230.x15MUM2H017995@scs-mx-04.andrew.cmu.edu> *Register Today for WearRAcon 19!* Don't miss WearRAcon, March 26-28 (Scottsdale, AZ), the only conference dedicated to the emerging field of wearable robotics! With close to 300 industry insiders from around the world attending, each person sees product demonstrations up close, shares coffee with leading academics, or shakes hands with the entrepreneurs who are bringing wearable robotics components and systems to market. This year?s event has many exciting features including: Automotive Forum, Logistics Forum, Insurance Forum, ASTM standards workshop, along with 20 breakout sessions focused on wearable robotics for medical/rehab and industry. View the conference agenda here: http://www.wearablerobotics.com/wearracon-19/agenda/ and use this link to register: http://www.wearablerobotics.com/wearracon-19/. Contact Conference Manager, Amy Gallagher, at conference at wearablerobotics.com with questions. -- Chaithanya K Mummidisetty, MS Research Engineer-III The Max N?der Lab for Rehabilitation Technologies and Outcomes Research Center for Bionic Medicine Office of Translational Research Shirley Ryan AbilityLab, 355 E Erie, Room#1401 Chicago IL-60611. Ph: 312-238-1621 sralab.org max-nader-lab-rehabilitation-technologies-and-outcomes-research Facebook | Twitter | YouTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.cangelosi at manchester.ac.uk Tue Feb 5 18:49:33 2019 From: angelo.cangelosi at manchester.ac.uk (Angelo Cangelosi) Date: Tue, 5 Feb 2019 23:49:33 +0000 Subject: Connectionists: CFP, Advances in Data Science 2019 Workshop, Manchester UK Message-ID: Advances in Data Science 2019 Workshop, Manchester UK Submissions now open for Advances in Data Science 2019 Extended abstract submission deadline: March 1st Location: Manchester, UK Meeting dates: May 20-21 Website: http://www.ds-advances.org/ Advances in Data Science is a two-day meeting to present recent developments in data science. This year's meeting is themed around four topics: Health & Wellbeing, AI & Robotics, NLP & Text Mining and Security & Privacy. Invited speakers include leading data scientists from industry and academia, and there will be the opportunity to submit abstracts for talks and posters. Talks will range from application-focussed to advanced data science methodologies. Invited speakers confirmed so far include: Danushka Bollegala, University of Liverpool Silvia Chiappa, DeepMind Yiannis Demiris, Imperial College London Sarah Filippi, Imperial College London Georgio Metta, IIT Italian Institute of Technology, Genoa, Italy Marion Oswald, University of Winchester Paul Taylor, Lancaster University Catalina Vallejos, University of Edinburgh Byron Wallace, Northeastern University, USA Chris Williams, University of Edinburgh Pierre Zweigenbaum, CNRS, Paris Sponsors: University of Manchester Data Science Institute, Alan Turing Institute, IBM Research, Microsoft Research Organizers: Magnus Rattray, Sophia Ananiadou, Emma Barrett, Danielle Belgrave, Angelo Cangelosi -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Wed Feb 6 03:44:50 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Wed, 6 Feb 2019 10:44:50 +0200 Subject: Connectionists: 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020): Last Call for Track Proposals In-Reply-To: References: <31C24FFB-0CFA-4FDA-A707-4F88A4937121@cs.ucy.ac.cy> <6978C684-25CD-4FF6-BD9A-4AA340EF7189@cs.ucy.ac.cy> Message-ID: <3F568E9D-6925-4608-95E9-99995226E2B3@cs.ucy.ac.cy> *** Last Call for Track Proposals *** 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020) Atlantica Miramare 4* Beach Hotel, Limassol, Cyprus January 20-24, 2020 http://cyprusconferences.org/sofsem2020/ *** Submission Deadline: February 11, 2019 *** (Proceedings to be published by Springer) SOFSEM (SOFtware SEMinar) is an annual international winter conference devoted to the theory and practice of Computer Science. SOFSEM presents the latest results and developments in academic and industrial research in leading areas of Computer Science. The first SOFSEM was organized in 1974, and it was traditionally located in the Czech and Slovak Republics, before it started moving to other European locations. In 2017 it was organised in Ireland, in 2018 in Austria and in 2019 in Slovakia. The 46th edition will be organised in the sunny Mediterranean island of Cyprus. SOFSEM consists of Invited Talks by prominent researchers, Contributed Talks selected from the submitted papers, and the Student Research Forum. The program is organized in plenary talks and parallel tracks devoted to original research in contemporary areas of Computer Science. SOFSEM has a long-standing tradition of facilitating discussions and collegial interactions and is well-known for its familiar and inspiring atmosphere and as a meeting place for active and leading computer scientists. SOFSEM is a track based conference. It features the traditional track on Foundations of Computer Science and a number of other tracks that over the years have evolved to cover and address contemporary important areas of Computer Science, such as Artificial Intelligence, Cryptography, Security, and Verification, Data Science, Knowledge Engineering, Social Computing and Human Factors, Software and Web Engineering, etc. The proceedings of SOFSEM are published in the prestigious ARCoSS (Advanced Research in Computing and Software Science) subseries of Springer's Lecture Notes in Computer Science (LNCS) series. For SOFSEM 2020, the Steering Committee is inviting proposals for organising tracks. The tracks can be of theoretical or practical nature or a combination of both. Tracks from industry are particularly welcome. A proposal should not exceed 3 pages and should include the following items: a) Title, aim and scope of the proposed track, as well as the list of topics that the proposed track will address. b) Rationale for having this track in SOFSEM, including any other similar events that the proposed track complements or differs from. c) Names, affiliations and short CVs for the chairs of the proposed track, demonstrating past relevant experience in organising such tracks or events. d) Tentative list of names of the Program Committee for the proposed track. e) A short dissemination plan for the CFP mentioning the forums where the latter will be posted. The proposals will be reviewed by the Steering Committee and the General Chairs, based on the above mentioned criteria. A proposal may be accepted as is, requested to modify its title and/or topics covered, merged with another proposed track or rejected. Upon acceptance, the track chairs will be notified of their exact duties in managing the affairs of their track. The Steering Committee reserves the right to cancel a track at any moment in time, if these responsibilities are not dealt with satisfactorily by the track chairs. Proposals should be submitted by February 11th, 2019 to the SOFSEM 2020 General Chairs, Yannis Manolopoulos (yannis.manolopoulos AT ouc.ac.cy) and George A. Papadopoulos (george AT cs.ucy.ac.cy). IMPORTANT DATES * Submission of track proposals: February 11, 2019 * Notification of proposals acceptance or rejection: February 25, 2019 * Submission of abstracts: July 29, 2019 * Submission of full papers: August 5, 2019 * Notification of acceptance for submitted papers: September 30, 2019 * Camera-Ready submission of accepted papers: October 28, 2019 * Early and author registration deadline: November 25, 2019 * Conference dates: January 20-24, 2020 ORGANISATION General Chairs Yannis Manolopoulos, Open University of Cyprus, CY George A, Papadopoulos, University of Cyprus, CY Steering Committee Barbara Catania, University of Genova, IT Miroslaw Kutylowski, Wroclaw Uni. of Technology, PL Tiziana Margaria-Steffen, University of Limerick, IE Branislav Rovan, Comenius University, Bratislava, SK Petr Saloun, Technical University of Ostrava, CZ Julius Stuller, Academy of Sciences, Prague, CZ, chair Jan van Leeuwen, Utrecht University, Utrecht, NL -------------- next part -------------- An HTML attachment was scrubbed... URL: From Boris.Puschitz at uibk.ac.at Wed Feb 6 08:31:11 2019 From: Boris.Puschitz at uibk.ac.at (Puschitz, Boris) Date: Wed, 6 Feb 2019 13:31:11 +0000 Subject: Connectionists: University Professor of Computer Science with Focus on Data Science Message-ID: <7F4D55B007EA8E448E404AF5403B032DBB97FE5F@XMBX2.uibk.ac.at> The University of Innsbruck invites applications for the position of a UNIVERSITY PROFESSOR of COMPUTER SCIENCE WITH A FOCUS ON DATA SCIENCE at the Department of Computer Science of the Faculty of Mathematics, Computer Science and Physics. The position will be based on a permanent civil-law employment contract with the University according to ? 98 University Law. The professorship is embedded in an appealing environment of existing competencies close to the field of data science, e.g. in the areas of robot learning, computer vision, simulation and visualisation, information retrieval and recommender systems as well as high-performance computing. RESPONSIBILITIES The successful candidate should represent the area of data science in research and teaching in various fields such as: * Data Mining on large amounts of data for the extraction of significant findings * Machine learning for pattern recognition, prediction and decision making * Data-based adaptive, self-learning and self-optimising systems * Development of numerical and statistical methods scaling on Big Data. Co-operations with research groups at the Department of Computer Science, the research areas of the University as well as with economy, industry and international research institutions are expected. Co-operation with the newly founded Digital Science Centre DiSC is intended. The candidate should reinforce or complement existing strengths of the Department of Computer Science. Teaching comprises holding courses, especially in the area of Data Science. This includes all degree programs of computer science, the teaching degree in Computer Science for secondary schools as well as courses for the Digital Science Centre. Additionally the supervision of Bachelor, Master and PhD theses is expected. Beyond research and teaching, the successful candidate is expected to contribute to the strategic advancement of the Faculty of Mathematics, Computer Science and Physics, as well as to the academic self-management of the department and the faculty. ELIGIBILITY REQUIREMENTS a) a pertinent degree in higher education in Austria or the equivalent abroad in Computer Science or a similar field; b) a pertinent habilitation or equivalent qualification; c) exceptional scientific qualification in research in the area of Data Science documented through publications in leading international peer reviewd journals and conferences. d) experience in scientific project management and the acquisition of research funding; e) proven involvement in international research; f) excellent didactic skills; g) Management qualification and social competencies. Thematically relevant experience in the cooperation with industry and experience abroad are desirable. Applications must reach us at the latest by 20.03.2019 at Leopold-Franzens-Universit?t Innsbruck, Fakult?ten Servicestelle, Standort Technikerstra?e 17, A-6020 Innsbruck (fss-technik at uibk.ac.at). The University of Innsbruck is committed to increasing the percentage of female employees, especially in leading positions and therefore explicitly invites women to apply. In the case of equivalent qualifications, women will be given preference. The basic salary is laid down in the collective bargaining agreement for university employees. Professors are in the remuneration group A 1. For the position the monthly salary before tax is 5.005,10 Euro (14 x per year). Depending on qualification and experience a higher salary can be a topic in the negotiations with the rector. Beyond that the university offers attractive additional benefits: http://www.uibk.ac.at/universitaet/zusatzleistungen/. The application documents should comprise: ? CV including a description of the scientific and professional development; ? A list of scientific publications, presentations and other scientific works and projects; ? A description of past, current and planned research activities; ? Details regarding teaching activities so far; ? Details regarding the acquired third-party funding; ? A teaching and a research concept for the advertised position; ? A list of the five most important works. Application documents have to be submitted electronically as a single PDF document in English, preferably via Email, supplemented by the five most important publications as separate PDF files. Paper form is optional. Information about computer science in Innsbruck is available under http://informatik.uibk.ac.at/. Additional information on the current status of the application process may be found at: http://www.uibk.ac.at/fakultaeten-servicestelle/standorte/technikerstrasse/berufung/index.html The full, authoritative text in German (published in the official bulletin of the University of Innsbruck) as well as additional information on the current status of the application process may be found at: http://www.uibk.ac.at/fakultaeten-servicestelle/standorte/technikerstrasse/berufung/index.html Univ.-Prof. Dr. Dr. h.c. mult. Tilmann M?RK R e k t o r -------------- next part -------------- An HTML attachment was scrubbed... URL: From LucaO at ntu.edu.sg Wed Feb 6 21:19:00 2019 From: LucaO at ntu.edu.sg (Luca Onnis) Date: Thu, 7 Feb 2019 02:19:00 +0000 Subject: Connectionists: PhD Scholarship on "Coevolution of languages and social networks" at Nanyang Technological University Singapore Message-ID: <243720F3-EE8D-4789-89E2-321D15F339AF@ntu.edu.sg> A 4-year PhD scholarship is available on the topic "Coevolution of languages and social networks" at Nanyang Technological University Singapore, starting August 2019. The PhD candidate will be hosted within the Interdisciplinary Graduate School PhD Programme. This position is particularly ideal for individuals seeking interdisciplinary training, and to combine one or more methodologies: network theory and methods; agent-based modelling; psycholinguistics; neurolinguistics. The successful candidate will be co-supervised by a team: - Prof. Luca Onnis (Main Supervisor, Cognitive Science) - Prof. Poong Oh (Co-Supervisor, Network Science) - Prof. Stephen Lansing (Senior Mentor, Complexity Science). Please visit: http://cohass.ntu.edu.sg/Programmes/Graduate-Programmes/IGS/Pages/Global-Asia-Projects.aspx A detailed description of the project is available at:http://cohass.ntu.edu.sg/Programmes/Graduate-Programmes/IGS/Documents/AY2019_10_Coevolution%20of%20languages%20and%20social%20networks.pdf For more information please contact lucao at ntu.edu.sg ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. From nhf at umd.edu Wed Feb 6 12:01:53 2019 From: nhf at umd.edu (Naomi Feldman) Date: Wed, 6 Feb 2019 12:01:53 -0500 Subject: Connectionists: Postdoc in computational modeling of language Message-ID: We invite applications for a postdoctoral position in computational modeling of language at the University of Maryland, co-advised by Naomi Feldman and Jan Edwards. The starting date is flexible, but would ideally be in summer 2019. The postdoc will be part of an NIH-funded project, in collaboration with Pat Shafto at Rutgers University-Newark, that uses models of pedagogical reasoning to predict which language interventions will be most effective for helping children with Developmental Language Disorder learn grammatical morphemes. Experience with probabilistic models of language acquisition and interests in morphological processing and/or language disorders would be helpful, but anyone who is interested in the position is encouraged to apply. The University of Maryland is home to an extensive interconnected network of over 200 language scientists that spans 22 different departments and centers (http://languagescience.umd.edu ). The person hired for this position will have opportunities to interact regularly with colleagues from linguistics, hearing and speech, computer science, and other units on campus, and will be a member of the Computational Linguistics and Information Processing Lab ( http://clip.umiacs.umd.edu ). The PIs are committed to supporting the success of trainees who belong to groups that are underrepresented in academia and in computing. To apply, please send a CV, research statement, writing sample, and contact information for three references to nhf at umd.edu (letters are not needed as part of the initial application). Review of applications will begin February 22 and will continue until the position is filled. -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Thu Feb 7 05:42:01 2019 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Thu, 7 Feb 2019 11:42:01 +0100 Subject: Connectionists: [Deadline Approaching] Special Issue on EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction In-Reply-To: References: Message-ID: <1e88f813-ff59-deba-85c5-42f3e0c84d07@ai.univ-paris8.fr> *The deadline to submit your proposals is fast approaching* *********************************************************************** Apologize if you receive multiple copies of this message. Please disseminate this CFP to your colleagues and contacts. *********************************************************************** *Special Issue on Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction* *Journal of Biomedical Research * _Submission deadline: __February 15th, 2019_** Epilepsy is the most common neurological disorder of the brain that affects people worldwide at any age from newborn to adult. It is characterized by recurrent seizures, which are brief episodes of signs or symptoms due to abnormal excessive or synchronous neuronal activity in the brain. The electroencephalogram, or EEG, is a physiological method to measure and record the electrical activities generated by the brain from electrodes placed on the surface of the scalp. EEG has become the most used signal for detecting and predicting epileptic seizures. Machine learning for EEG signal processing constitute an important area of artificial intelligence dealing with the setting up of automated computer-aided systems allowing to help the medical staff, e.g. neurophysiologists, for detecting and predicting epileptic seizure activities from EEG signals. It offers solutions to difficult biomedical engineering problems related to detecting and predicting EEG Epileptic seizures. In the light of the rapid development of machine learning tools for signal processing, this special issue aims to solicit original research papers as well as review articles focusing on recent advances in EEG signal processing and machine learning for Epileptic seizure detection and prediction. Topics of interest should be related to Epileptic seizure detection and/or prediction, and include (but are not limited to) the following: - EEG signal processing - Time-frequency EEG signal analysis - Non-stationary EEG signal analysis - EEG feature extraction and selection - Machine learning for EEG signals - EEG classification and clustering - Deep learning for EEG - EEG Big Data - EEG-based BCI (Brain-Computer Interface) - Internet of things for prediction - EEG-based computer-aideddiagnosis systems - Related applications *Important Dates:* Submission deadline: *February 15th, 2019* Completion of first-round reviews: March 15th, 2019 Submission deadline for revised papers: April 15th, 2019 Final acceptance/rejection notification: April 30th, 2019 Publication: May 2019* * *Submission Guidelines:* - All submissions have to be prepared according to the Guide for Authors as published in the Journal Web Site: http://www.jbr-pub.org.cn - Submissions should be sent through: https://mc03.manuscriptcentral.com/jbrint - Authors should select the acronym "Special Issue: *AESPMLESDP*" as the article type, from the manuscript type menu during the submission process. *Guest Editor:* Dr. Larbi Boubchir, Associate Professor, LIASD research Lab. - University of Paris 8, France Email: larbi.boubchir at ai.univ-paris8.fr -- _____________________________________________________ Larbi Boubchir, PhD, SMIEEE Associate Professor LIASD - University of Paris 8 2 rue de la Libert?, 93526 Saint-Denis, France Tel. (+33) 1 49 40 67 95 Email. larbi.boubchir at ai.univ-paris8.fr http://www.ai.univ-paris8.fr/~boubchir/ _____________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From boubchir at ai.univ-paris8.fr Thu Feb 7 05:27:25 2019 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Thu, 7 Feb 2019 11:27:25 +0100 Subject: Connectionists: CFP: The 3rd International Workshop on Recent Advances in Biometrics and its Applications Message-ID: ------------------------------------------------------------------------------------------------------------------------------------------- *The 3rd International Workshop on Recent Advances in Biometrics and its Applications* within the framework of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP) July 1-3, 2019, Budapest, Hungary http://tsp.vutbr.cz/?page_id=2744#WS1-19 CFP: http://tsp.vutbr.cz/documents/TSP2019_CfP_WS1_v3.pdf ------------------------------------------------------------------------------------------------------------------------------------------ Biometric recognition has become a burgeoning research area due to the industrial and government needs for security and privacy concerns. It has also become center of focus for many authentication and identification applications in the civil and forensic fields. Within the framework of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP) held during July 1-3, 2019 in Budapest, Hungary, we invite you to the 3rd International Workshop on Recent Advances in Biometrics and its Applications. The goal of this workshop is to present and discuss the recent fundamental and applied research works providing novel solutions to challenging problems in biometrics. It is an opportunity to bring researchers and experts together to discuss the current and future state of biometrics and possible areas of further cooperation. Topics of interest include, but are not limited to, the following: - Biometrics based authentication and identification - Physiological and behavioral biometrics - Biometric feature extraction and matching - Signal, image and video processing in biometrics - Machine learning in biometrics - Fusion techniques in biometrics - Soft biometrics - Multimodal biometrics - Biometric security and privacy - Big data challenges in biometrics - Related applications --------------------------- Important Dates --------------------------- Paper Submission Deadline:? February 15, 2019 Notification of Acceptance: April 15, 2019 Authors' Registration: May 20, 2019 Conference/workshop: July 1-3, 2019 --------------------------- Proceedings --------------------------- All accepted papers will be published in the TSP 2019 Conference Proceedings issued online. The Proceedings with presented papers will be submitted for indexing in IEEE Xplore? Digital Library - IEEE Conference Record #46676, Conference Proceedings Citation Index (CPCI) of Thomson? Reuters, SCOPUS, DBLP, and Google Scholar databases. --------------------------- Special Journal Issue --------------------------- Selected high-quality papers will be invited for publication in Special Issue ?Recent Advances in Biometrics and its Applications? in Electronics journal (SJR Q1, IF: 2.11). --------------------------- Editorial Board --------------------------- Assoc. Prof. Dr. Larbi Boubchir ? LIASD - University of Paris 8, France (Editor-in-Chief, larbi.boubchir at ai.univ-paris8.fr) Prof. Boubaker Daachi ? LIASD - University of Paris 8, France (bd at ai.univ-paris8.fr) -- _____________________________________________________ Larbi Boubchir, PhD, SMIEEE Associate Professor LIASD - University of Paris 8 2 rue de la Libert?, 93526 Saint-Denis, France Tel. (+33) 1 49 40 67 95 Email. larbi.boubchir at ai.univ-paris8.fr http://www.ai.univ-paris8.fr/~boubchir/ _____________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Verhoef at donders.ru.nl Thu Feb 7 05:41:14 2019 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Thu, 7 Feb 2019 10:41:14 +0000 Subject: Connectionists: Postdoc position in Linguistics for Research Consortium 'Language in Interaction' (1, 0 fte) Message-ID: Postdoc position in Linguistics for Research Consortium 'Language in Interaction' (1,0 fte) Dutch Research Consortium 'Language in Interaction' Application deadline: February 17, 2019, 23:59 CET [Logo][Logo NWO] Responsibilities The Language in Interaction research consortium invites applications for a postdoctoral position in Linguistics. We are looking for a candidate with a background in theoretical and/or computational linguistics. You will contribute to the integration of linguistic expertise into the empirical research performed by teams of researchers in our consortium that are collaborating to collectively address the key questions of our field. You will be provided the opportunity to conduct research in one or more research areas relevant to the position. Supervision of BSc, MSc and PhD projects will be part of your responsibilities. You will be provided with budgetary resources for travel, materials and lab-use. This position provides the opportunity for conducting world-class research as a member of an interdisciplinary team. Moreover, it will provide the opportunity to contribute to developing a theoretical framework for our understanding of the human language faculty. Work environment The Netherlands has an outstanding track record in the language sciences. The research consortium 'Language in Interaction', sponsored by a large grant from the Netherlands Organization for Scientific research (NWO), brings together many of the excellent research groups in the Netherlands with 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 modelling, and patient-related research. This consortium realizes both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) 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 modelling? 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? Successful candidates will be appointed at one of the consortium's home institutions, depending on the position applied for. All successful candidates will become members of our Big Question teams. The research is conducted in an international setting at all participating institutions. English is the lingua franca. You will be appointed at the Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands. You will be supervised by Peter Hagoort, programme director of the Language in Interaction consortium. 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 highly motivated candidates to enrich a unique consortium of researchers that aims to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. ? a PhD in Linguistics; ? an integrative mindset; ? a theory-driven approach; ? good communication skills; ? strong motivation; ? excellent proficiency in written and spoken English. What we have to offer ? Full-time position (39 hours per week) with a term of appointment of 4 years. ? The salary is according to the German TV?D (Tarifvertrag f?r den ?ffentlichen Dienst) and is classified in salary group E13 (depending on the experience of the applicant between EUR 3.827,03 and EUR 5.683,28 gross per month, based on a full-time employment). ? In addition to the salary: an 8% holiday allowance ? The Max Planck Institute involved has a number of regulations that make it possible for employees to create a good work-life balance. 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: the Language in Interaction Consortium. Further information on: Donders Institute for Brain, Cognition and Behaviour For more information about this vacancy, please contact: Prof. dr. Peter Hagoort, programme director Language in Interaction and director of DCCN and MPI Telephone: +31 24 3610648, +31 24 3521301 E-mail: p.hagoort at donders.ru.nl Are you interested? Please submit your application (attn. of Prof. dr. P. Hagoort) to j.verhoef at donders.ru.nl in electronic form. Your application should include (and be limited to) the following attachments: ? a cover letter, ? your curriculum vitae, including a list of publications and the names of at least two persons who can provide references. Application deadline: February 17, 2019, 23:59 CET. Kind regards, Julia Verhoef Secretary - Language in Interaction Consortium Radboud University | Donders Centre for Cognitive Neuroimaging (DCCN) Room 0.026 Kapittelweg 29, 6525 EN Nijmegen, The Netherlands P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands |T: +31 (0)24 3666272 E: J.Verhoef at donders.ru.nll|Office hours: 9-14 hr on Mon - Fri Follow Language in Interaction on Twitter Like Language in Interaction on Facebook -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 40202 bytes Desc: image001.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 2461 bytes Desc: image002.jpg URL: From sahidullahmd at gmail.com Thu Feb 7 06:57:07 2019 From: sahidullahmd at gmail.com (Md Sahidullah) Date: Thu, 7 Feb 2019 12:57:07 +0100 Subject: Connectionists: Final call for ASVspoof 2019 CHALLENGE: Future horizons in spoofed/fake audio detection Message-ID: [Apologies for possible cross-posting] Dear List members, I am writing this message on behalf of the ASVspoof challenge organizers. This is to inform you that the registration for ASVspoof 2019 challenge will end on February 8, 2019. The call for the challenge can be found in the trailing message. Link to the press alert: http://www.asvspoof.org/asvspoof2019/pressalert.pdf We look forward for your participation in the spoof/fake audio detection research. Thanking you very much. Regards Sahid, on behalf of the organizers --- *=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=* ASVspoof 2019 CHALLENGE: Future horizons in spoofed/fake audio detection http://www.asvspoof.org/ =*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*= Can you distinguish computer-generated or replayed speech from authentic/bona fide speech? Are you able to design algorithms to detect spoofs/fakes automatically? Are you concerned with the security of voice-driven interfaces? Are you searching for new challenges in machine learning and signal processing? Join ASVspoof 2019 ? the effort to develop next-generation countermeasures for the automatic detection of spoofed/fake audio. In combining the forces of leading research institutes and industry, ASVspoof 2019 encompasses two separate sub-challenges in logical and physical access control, and provides a common database of the most advanced spoofing attacks to date. The aim is to study both the limits and opportunities of spoofing countermeasures in the context of automatic speaker verification and fake audio detection. CHALLENGE TASK Given a short audio clip, determine whether it represents authentic/bona fide human speech, or a spoof/fake (replay, synthesized speech or converted voice). You will be provided with a large database of labelled training and development data and will develop machine learning and signal processing countermeasures to distinguish automatically between the two. Countermeasure performance will be evaluated jointly with an automatic speaker verification (ASV) system provided by the organisers. BACKGROUND: The ASVspoof 2019 challenge follows on from two previous ASVspoof challenges, held in 2015 and 2017. The 2015 edition focused on spoofed speech generated with text-to-speech (TTS) and voice conversion (VC) technologies. The 2017 edition focused on replay spoofing. The 2019 edition is the first to address all three forms attack and the latest, cutting-edge spoofing attack technology. ADVANCES: Today?s state-of-the-art, TTS and VC technologies produce speech signals that are as good as perceptually indistinguishable from bona fide speech. The LOGICAL ACCESS sub-challenge aims to determine whether the advances in TTS and VC pose a greater threat to the reliability of automatic speaker verification and spoofing countermeasure technologies. The PHYSICAL ACCESS sub-challenge builds upon the 2017 edition with a far more controlled evaluation setup which extends the focus of ASVspoof to fake audio detection in, e.g. the manipulation of voice-driven interfaces (smart speakers). METRICS: The 2019 edition also adopts a new metric, the tandem detection cost function (t-DCF). Adoption of the t-DCF metric aligns ASVspoof more closely to the field of ASV. The challenge nonetheless focuses on the development of standalone spoofing countermeasures; participation in ASVspoof 2019 does NOT require any expertise in ASV. The equal error rate (EER) used in previous editions remains as a secondary metric, supporting the wider implications of ASVspoof involving fake audio detection. SCHEDULE: Training and development data release: 19th December 2018 Participant registration deadline: 8th February, 2019 Evaluation data release: 15th February 2019 Deadline to submit evaluation scores: 22nd February 2019 Organisers return results to participants: 15th March 2019 INTERSPEECH paper submission deadline: 29th March 2019 REGISTRATION: Registration should be performed once only for each participating entity and by sending an email to registration at asvspoof.org with ?ASVspoof 2019 registration? as the subject line. The mail body should include: (i) the name of the team; (ii) the name of the contact person; (iii) their country; (iv) their status (academic/non-academic), and (v) the challenge scenario(s) for which they wish to participate (indicative only). Data download links will be communicated to registered contact persons only. MAILING LIST: Subscribe to general mailing list by sending e-mail with subject line ?subscribe asvspoof2019? to sympa at asvspoof.org. To post messages to the mailing list itself, send e-mails to asvspoof2019 at asvspoof.org ORGANIZERS*: Junichi Yamagishi, NII, Japan & Univ. of Edinburgh, UK Massimiliano Todisco, EURECOM, France Md Sahidullah, Inria, France H?ctor Delgado, EURECOM, France Xin Wang, National Institute of Informatics, Japan Nicholas Evans, EURECOM, France Tomi Kinnunen, University of Eastern Finland, Finland Kong Aik Lee, NEC, JAPAN Ville Vestman, University of Eastern Finland, Finland (*) Equal contribution CONTRIBUTORS: University of Edinburgh, UK; Nagoya University, Japan, University of Science and Technology of China, China; iFlytek Research, China; Saarland University / DFKI GmbH, Germany; Trinity College Dublin, Ireland; NTT Communication Science Laboratories, Japan; HOYA, Japan; Google LLC (Text-to-Speech team, Google Brain team, Deepmind); University of Avignon, France; Aalto University, Finland; University of Eastern Finland, Finland; EURECOM, France. FURTHER INFORMATION: info at asvspoof.org -- Md Sahidullah website: *https://sites.google.com/site/iitkgpsahi/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From susanne.kaiser at stat.math.ethz.ch Thu Feb 7 07:17:01 2019 From: susanne.kaiser at stat.math.ethz.ch (Kaiser-Heinzmann Susanne) Date: Thu, 7 Feb 2019 12:17:01 +0000 Subject: Connectionists: Open Postdoctoral positions in data science (information sciences, machine learning and statistics) Message-ID: <63BB79E61BD191469BF66E15BB5115FD76F4293D@MBX110.d.ethz.ch> Open ETH-FDS Postdoctoral Fellow positions (information sciences, machine learning and statistics) ETH Foundations of Data Science (ETH-FDS) is a new cross-departmental initiative at ETH Zurich, starting on 1 January 2019. Its main focus is research-oriented in the area of foundations of data science, at the intersection between information sciences, machine learning and statistics. We invite applications for ETH-FDS Postdoctoral Fellow positions in Foundations of Data Science. The positions are for two years. We offer an attractive environment across different core areas in foundations of data science. Besides developing independent research, the duties also include a light teaching load. The starting date is flexible. The salary is according to the standard salary scale for postdoctoral fellows at ETH Zurich. Your application should include the following documents: ? curriculum vitae, including a list of publications ? preferred host at ETH Zurich (One to three faculty members at ETH Zurich with whom you want to primarily work with.) ? short research statement (one to at most two pages) ? three names of references (no letters need to be submitted). Applications can be submitted via https://www.math.ethz.ch/the-department/open-positions.html#fds-postdoc . The deadline for applications is 28 February 2019 (but applications can be sent until the positions are filled). For more information and contact, please refer to our ETH-FDS website, https://www.math.ethz.ch/sfs/research/fds.html . We look forward to your application! Prof. Peter B?hlmann Director ETH Zurich Seminar for Statistics From albagarciaseco at gmail.com Thu Feb 7 07:44:20 2019 From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=) Date: Thu, 7 Feb 2019 12:44:20 +0000 Subject: Connectionists: Fwd: ImageCLEF 2019 Coral Task: Development Data Release In-Reply-To: References: Message-ID: *Please, apologies for cross-posting* We are happy to announce that the *development data* for the ImageCLEFcoral task at CLEF 2019 has been released. Participants will be require to annotate and localise coral reef images by labelling the images with types of benthic substrate together. Each image is provided with possible class types. The data is accessible through the crowdAI platform: https://www.crowdai.org/organizers/imageclef/challenges/imageclef-2019-coral-annotation-and-localisation/ Remember that only participants with signed End User Agreement (EUA) will have access to the data. For more details and updates, please visit the task website at: https://www.imageclef.org/2019/coral And join our mailing list: https://groups.google.com/d/forum/imageclefcoral Dr Alba Garc?a Seco de Herrera PhD Lecturer Department of Computer Science and Electronic Engineering (CSEE) University of Essex T +44 (0) 1206 872907 E alba.garcia at essex.ac.uk ? *https://www.essex.ac.uk/ * WE ARE ESSEX -------------- next part -------------- An HTML attachment was scrubbed... URL: From christopher.honey at gmail.com Thu Feb 7 21:25:37 2019 From: christopher.honey at gmail.com (Christopher Honey) Date: Thu, 7 Feb 2019 21:25:37 -0500 Subject: Connectionists: Computational & Cognitive Neuroscience Summer School 2019 Message-ID: We are pleased to announce the 9th Computational and Cognitive Neuroscience (CCN) Summer School which will take place June 29 - July 21, 2019 in Suzhou, China. Designed to emphasize higher cognitive functions and their underlying neural circuit mechanisms, the course aims at training talented and highly motivated students and postdoctoral fellows from Asia and around the world. We welcome both applicants with quantitative backgrounds (including Physics, Mathematics, Engineering and Computer Science) and those with experimental backgrounds. The lectures will introduce the basic concepts and methods, as well as cutting-edge research on higher brain functions such as decision-making, attention, learning and memory. Modeling will be taught at multiple levels, ranging from single neuron computation and microcircuits up to large-scale systems and machine-learning approaches. Python-based programming labs coordinated with the lectures will provide practical training in important computational methods. Course information and application instructions are available on the CCN Summer School website: www.ccnss.org Applications are being accepted through the Cold Spring Harbor Asia website: http://www.csh-asia.org/summerschool_SCOSYNEinstruct.html The application deadline is March 8. Faculty: Carlos Brody (Princeton) Bob Desimone (MIT) Bard Ermentrout (Pitt) Winrich Freiwald (Rockefeller) Biyu He (NYU) Sukbin Lim (NYU) John Murray (Yale) Jascha Sohl-Dickstein (Google Brain) Jon Winawer (NYU) Byron Yu (CMU) Organizers: Dora Angelaki (NYU) Xiao-Jing Wang (NYU) Christopher Honey (Johns Hopkins) Robert Guangyu Yang (Columbia) Feel free to direct any questions to Chris Honey ( chris.honey at jhu.edu ) and Robert Guangyu Yang ( robert.yang at columbia.edu ). -------------- next part -------------- An HTML attachment was scrubbed... URL: From cmummidise at sralab.org Fri Feb 8 03:52:42 2019 From: cmummidise at sralab.org (Krishna Mummidisetty) Date: Fri, 8 Feb 2019 14:22:42 +0530 Subject: Connectionists: ICORR 2019 - Call for Submission Message-ID: <201902080853.x188qxjs042208@scs-mx-01.andrew.cmu.edu> ICORR 2019 16th IEEE International Conference on Rehabilitation Robotics 24-28 June 2019, TORONTO, CANADA Call for Submission Papers can cover the following areas: - Rehabilitation and assistive robotics - Socially interactive robotics - Human-machine interfaces in rehabilitation - Neurobotics - Advanced prosthetics - Wearable devices - Robotics in clinical practice - From lab to market *IMPORTANT DATES* Paper Submission Opens: December 15, 2018 Paper Submission Deadline: *February 15, 2019* Notification of Acceptance: April 1, 2019 Submission of Final Paper: May 15, 2019 Register here: http://icorr2019.org/ [image: ICORR2019.jpg] -- Chaithanya K Mummidisetty, MS Research Engineer-III The Max N?der Lab for Rehabilitation Technologies and Outcomes Research Center for Bionic Medicine Office of Translational Research Shirley Ryan AbilityLab, 355 E Erie, Room#1401 Chicago IL-60611. Ph: 312-238-1621 sralab.org max-nader-lab-rehabilitation-technologies-and-outcomes-research Facebook | Twitter | YouTube -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ICORR2019.jpg Type: image/jpeg Size: 116864 bytes Desc: not available URL: From dtborek at gmail.com Fri Feb 8 00:32:05 2019 From: dtborek at gmail.com (Daniel Borek) Date: Fri, 8 Feb 2019 00:32:05 -0500 Subject: Connectionists: =?utf-8?q?Brainhack_Warsaw_=28March_1=E2=80=933?= =?utf-8?b?LCAyMDE5LCBQb2xhbmQp?= Message-ID: Brainhack Warsaw 2019 March 1-3, 2019 University of Warsaw, Warsaw, Poland ? REGULAR -> 04.02 - 17.02 -> 120 PLN (ABOUT ?29) ? ? LATE -> 18.02 - 24.02 -> 135 PLN (ABOUT ?33) ? On the weekend of March 1-3, 2019, the second edition of Brainhack Warsaw will take place. During this three-day event dedicated to students and PhD students, we will work in teams on neuroscience-related projects. The aim of the event is to meet new, enthusiastic researchers, make new friendships in academia, learn, share the knowledge on data mining and brain research, but also promote open science in the spirit of the whole Brainhack community (Craddock et al., 2016) . Attendees of various backgrounds are welcome to join! Below you could see a list of projects which will be realised during our three-day event: - Generating fake MRI to enhance Alzheimer?s disease prediction - Network analysis of the electrical activity of the brain during epileptic seizures - Deep Frankenstein: dissecting and sewing artificial neural networks - Tackling the ABCD Neurocognitive Prediction Challenge - Multidimensionality problem in passive BCI for game control - Cross-Recurrence Quantification Analysis (cRQA) as a new measure of functional connectivity - EMG-based desktop controlling - Mapping the state of modern psychology through the public online activity of scientists ?Regular? and ?Late? registration for project participants close subsequently on 17.02 and 24.02.2019. A registration fee will be requested after registration. The registration fee will be spent on catering during the event. To register please visit our page and learn more about the Brainhack Warsaw! https://brainhackwarsaw.github.io/ We looking forward to seeing you in Warsaw! On behalf of the Brainhack Warsaw 2019 team -------------- next part -------------- An HTML attachment was scrubbed... URL: From caip2019 at unisa.it Fri Feb 8 04:33:26 2019 From: caip2019 at unisa.it (caip2019 at unisa.it) Date: Fri, 8 Feb 2019 10:33:26 +0100 Subject: Connectionists: CAIP 2019, Salerno (Italy) - Call for Papers Message-ID: *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* Tutorial/workshop proposal submission *??? March 1, 2019* Paper submission *April 1, 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 axel.soto at cs.uns.edu.ar Thu Feb 7 12:08:27 2019 From: axel.soto at cs.uns.edu.ar (Axel Soto) Date: Thu, 07 Feb 2019 14:08:27 -0300 Subject: Connectionists: ACM IUI 2019: Conference program online, early registration deadline on Feb 8th Message-ID: ACM Conference on Intelligent User Interfaces (IUI 2019) March 16-20 Los Angeles, USA ACM IUI 2019 (https://iui.acm.org/2019/index.html) is the 24th annual meeting of the intelligent interfaces community and serves as a premier international forum for reporting outstanding research and development on intelligent user interfaces. ACM IUI is where the Human-Computer Interaction (HCI) community meets the Artificial Intelligence (AI) community. The program for this year's conference can be found online: https://iui.acm.org/2019/program.html . You can also found information about the two panels to be held: https://iui.acm.org/2019/panel.html Registration is open, please register and book your hotel room as soon as possible (last year, registration was sold out one month in advance!). Early registration deadline is tomorrow. This year we have two registration options. Main conference+workshop: Main conference+workshop registration includes the main conference from March 16 to March 20, 2019, with keynotes, paper presentations, posters, demos, workshops, a reception, and a banquet. Workshop only: Workshops will be on March 20, 2019. Registration dates: - Early registration (until Feb 8th) - Late registration (until March 15) - Onsite (after March 15) Please visit https://iui.acm.org/2019/registration.html for more details. Also information on accommodation can be found at: https://iui.acm.org/2019/accomodation.html From boubchir at ai.univ-paris8.fr Fri Feb 8 09:04:07 2019 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Fri, 8 Feb 2019 15:04:07 +0100 Subject: Connectionists: CFP: The 3rd International Workshop on Recent Advances in Biometrics and its Applications Message-ID: <6e74cb16-217f-bac2-fe84-e3a671285422@ai.univ-paris8.fr> ------------------------------------------------------------------------------------------------------------------------------------------- *The 3rd International Workshop on Recent Advances in Biometrics and its Applications* within the framework of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP) July 1-3, 2019, Budapest, Hungary http://tsp.vutbr.cz/?page_id=2744#WS1-19 CFP: http://tsp.vutbr.cz/documents/TSP2019_CfP_WS1_v3.pdf ------------------------------------------------------------------------------------------------------------------------------------------ Biometric recognition has become a burgeoning research area due to the industrial and government needs for security and privacy concerns. It has also become center of focus for many authentication and identification applications in the civil and forensic fields. Within the framework of the 2019 42nd International Conference on Telecommunications and Signal Processing (TSP) held during July 1-3, 2019 in Budapest, Hungary, we invite you to the 3rd International Workshop on Recent Advances in Biometrics and its Applications. The goal of this workshop is to present and discuss the recent fundamental and applied research works providing novel solutions to challenging problems in biometrics. It is an opportunity to bring researchers and experts together to discuss the current and future state of biometrics and possible areas of further cooperation. Topics of interest include, but are not limited to, the following: - Biometrics based authentication and identification - Physiological and behavioral biometrics - Biometric feature extraction and matching - Signal, image and video processing in biometrics - Machine learning in biometrics - Fusion techniques in biometrics - Soft biometrics - Multimodal biometrics - Biometric security and privacy - Big data challenges in biometrics - Related applications --------------------------- Important Dates --------------------------- Paper Submission Deadline:? February 15, 2019 Notification of Acceptance: April 15, 2019 Authors' Registration: May 20, 2019 Conference/workshop: July 1-3, 2019 --------------------------- Proceedings --------------------------- All accepted papers will be published in the TSP 2019 Conference Proceedings issued online. The Proceedings with presented papers will be submitted for indexing in IEEE Xplore? Digital Library - IEEE Conference Record #46676, Conference Proceedings Citation Index (CPCI) of Thomson? Reuters, SCOPUS, DBLP, and Google Scholar databases. --------------------------- Special Journal Issue --------------------------- Selected high-quality papers will be invited for publication in Special Issue ?Recent Advances in Biometrics and its Applications? in Electronics journal (SJR Q1, IF: 2.11). --------------------------- Editorial Board --------------------------- Assoc. Prof. Dr. Larbi Boubchir ? LIASD - University of Paris 8, France (Editor-in-Chief, larbi.boubchir at ai.univ-paris8.fr) Prof. Boubaker Daachi ? LIASD - University of Paris 8, France (bd at ai.univ-paris8.fr) -- _____________________________________________________ Larbi Boubchir, PhD, SMIEEE Associate Professor LIASD - University of Paris 8 2 rue de la Libert?, 93526 Saint-Denis, France Tel. (+33) 1 49 40 67 95 Email. larbi.boubchir at ai.univ-paris8.fr http://www.ai.univ-paris8.fr/~boubchir/ _____________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From robert.legenstein at igi.tugraz.at Fri Feb 8 09:44:07 2019 From: robert.legenstein at igi.tugraz.at (Robert Legenstein) Date: Fri, 8 Feb 2019 15:44:07 +0100 Subject: Connectionists: PhD positions - Learning in Spiking Neural Networks Message-ID: <897b1b25-6820-42f4-f913-107cebcdb54e@igi.tugraz.at> The Lab of Robert Legenstein at TU Graz is offering funded PhD positions in the areas Spiking Neural Networks/Machine Learning/Brain Models/Neuromorphic Hardware. A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. Successful candidates will work on learning algorithms for spiking neural networks in the interdisciplinary consortium of the EU-funded project SYNCH. We will develop in this project learning algorithms for spiking neural networks (unsupervised, supervised, and reward-based). Hardware experts will implement these algorithms in cooperation with our team in a spiking neural network chip. The chip will be applied to various tasks within a brain-silicon hybrid system such as the classification of recorded brain network states. (see https://www.tugraz.at/institute/igi/people/prof-legenstein/projects/ for a brief description). Please send your application including a CV, any prior thesis and/or work by February 28 to robert.legenstein at igi.tugraz.at Dr. Robert Legenstein Institute Head Institute for Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ---------------------------------- From boubchir at ai.univ-paris8.fr Fri Feb 8 09:11:01 2019 From: boubchir at ai.univ-paris8.fr (Larbi Boubchir) Date: Fri, 8 Feb 2019 15:11:01 +0100 Subject: Connectionists: [Deadline Approaching] Special Issue on EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction In-Reply-To: <1e88f813-ff59-deba-85c5-42f3e0c84d07@ai.univ-paris8.fr> References: <1e88f813-ff59-deba-85c5-42f3e0c84d07@ai.univ-paris8.fr> Message-ID: <0168e028-6366-05fc-b24f-e9c0269362a5@ai.univ-paris8.fr> *The deadline to submit your proposals is fast approaching* *********************************************************************** Apologize if you receive multiple copies of this message. Please disseminate this CFP to your colleagues and contacts. *********************************************************************** *Special Issue on Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction* *Journal of Biomedical Research * _Submission deadline: __February 15th, 2019_** Epilepsy is the most common neurological disorder of the brain that affects people worldwide at any age from newborn to adult. It is characterized by recurrent seizures, which are brief episodes of signs or symptoms due to abnormal excessive or synchronous neuronal activity in the brain. The electroencephalogram, or EEG, is a physiological method to measure and record the electrical activities generated by the brain from electrodes placed on the surface of the scalp. EEG has become the most used signal for detecting and predicting epileptic seizures. Machine learning for EEG signal processing constitute an important area of artificial intelligence dealing with the setting up of automated computer-aided systems allowing to help the medical staff, e.g. neurophysiologists, for detecting and predicting epileptic seizure activities from EEG signals. It offers solutions to difficult biomedical engineering problems related to detecting and predicting EEG Epileptic seizures. In the light of the rapid development of machine learning tools for signal processing, this special issue aims to solicit original research papers as well as review articles focusing on recent advances in EEG signal processing and machine learning for Epileptic seizure detection and prediction. Topics of interest should be related to Epileptic seizure detection and/or prediction, and include (but are not limited to) the following: - EEG signal processing - Time-frequency EEG signal analysis - Non-stationary EEG signal analysis - EEG feature extraction and selection - Machine learning for EEG signals - EEG classification and clustering - Deep learning for EEG - EEG Big Data - EEG-based BCI (Brain-Computer Interface) - Internet of things for prediction - EEG-based computer-aideddiagnosis systems - Related applications *Important Dates:* Submission deadline: *February 15th, 2019* Completion of first-round reviews: March 15th, 2019 Submission deadline for revised papers: April 15th, 2019 Final acceptance/rejection notification: April 30th, 2019 Publication: May 2019* * *Submission Guidelines:* - All submissions have to be prepared according to the Guide for Authors as published in the Journal Web Site: http://www.jbr-pub.org.cn - Submissions should be sent through: https://mc03.manuscriptcentral.com/jbrint - Authors should select the acronym "Special Issue: *AESPMLESDP*" as the article type, from the manuscript type menu during the submission process. *Guest Editor:* Dr. Larbi Boubchir, Associate Professor, LIASD research Lab. - University of Paris 8, France Email: larbi.boubchir at ai.univ-paris8.fr -- _____________________________________________________ Larbi Boubchir, PhD, SMIEEE Associate Professor LIASD - University of Paris 8 2 rue de la Libert?, 93526 Saint-Denis, France Tel. (+33) 1 49 40 67 95 Email. larbi.boubchir at ai.univ-paris8.fr http://www.ai.univ-paris8.fr/~boubchir/ _____________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Fri Feb 8 09:09:14 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 8 Feb 2019 16:09:14 +0200 Subject: Connectionists: The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Third Call for Theory, Opinion and Reflection Papers References: <9CA4B861-3FB4-4681-B02F-679D6C2ED351@cs.ucy.ac.cy> Message-ID: *** THIRD CALL FOR THEORY, OPINION AND REFLECTION PAPERS *** 27th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019 https://www.um.org/umap2019/ Submissions due: March 16, 2019 ACM UMAP - User Modelling, Adaptation and Personalization is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. Theory, Opinion and Reflection (TOR) are position papers that critically look at ongoing and emerging research topics, reflections on persistent or fleeting trends in the field and blue sky future ideas for UMAP research. They offer an opportunity for discussing thought-provoking work relevant to the UMAP community, albeit they are not yet ready to be published as a full length research papers at a refereed conference. They should be of sufficient quality and relevance to the UMAP community and demonstrate the ability to spur discussion and debate on the future course of the UMAP research. The presentations will be in the form of a 10 minute pitch in a plenary conference session, just before a break. The presenters will present the topic and raise relevant questions to stimulate discussion during the breaks. Submissions should have a maximum length of 4 pages in the ACM SIG proceedings template. SUBMISSION AND REVIEW PROCESS Submissions must adhere to the ACM SIG Standard (SIGCONF) proceedings template. A template can be found at: https://www.acm.org/publications/proceedings-template . Submit your papers in PDF format via EasyChair for UMAP 2019 TOR at: https://easychair.org/conferences/?conf=umap2019tor . The review process will be single blinded, i.e. authors' names should be included in the papers. Submissions will be reviewed by at least two independent reviewers. They will be assessed based on their originality and novelty, potential to stimulate discussion on important research questions, potential contribution to UMAP research and practice, potential impact in particular use cases, as well as their overall readability. Papers that exceed the page limits (4 pages for TOR) or do not adhere to the formatting guidelines will be returned without review. IMPORTANT DATES ? Submission of TOR papers: March 16th, 2019 ? Notification of acceptance: April 5th, 2019 ? Camera-ready versions of accepted papers: April 15th, 2019 Note: The submissions times are 11:59 pm Anywhere on Earth. PUBLICATION AND PRESENTATION Accepted Theory, Opinion and Reflection papers will be published in the ACM UMAP 2019 Adjunct Proceedings in the ACM Digital Library. All categories will be presented at the poster reception of the conference, in the form of a poster and/or a software demonstration following poster format. This form of presentation will provide presenters with an opportunity to obtain direct feedback about their work from a wide audience during the conference. At least one author of each accepted paper must register for the conference and present the paper there. THEORY, OPINION AND REFLECTION PAPERS CHAIRS ? Jan-Geert Houben, Delft University, The Netherlands (g.j.p.m.houben AT tudelft.nl ) ? Bamshad Mobasher, DePaul University, USA (mobasher AT cs.depaul.edu ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From jochem.rieger at uol.de Fri Feb 8 09:28:31 2019 From: jochem.rieger at uol.de (Jochem Rieger) Date: Fri, 8 Feb 2019 15:28:31 +0100 Subject: Connectionists: Post-doc position neuropysiology of hearing impairment and machine learning Message-ID: <3fe89fc9-29e4-1dd4-cc51-99b020a1cb68@uni-oldenburg.de> Dear list, The DFG-funded cluster of Excellence? "Hearing 4 All" has an open post-doctoral position? in project "Characterizing central neural speech processing in normal and hearing impaired listeners using machine learning". The aim of the project is to combine neurophysiological measurements (fMRI and/or MEG/EEG) with data driven machine learning to characterize cortical consequences of hearing loss. We offer an international and interdisciplinary research environment and access to up-to-date research facilities. The position is available from April 1st, 2019 until October 31st, 2022. Salary level German TV-L E13, full time. The payment includes an experience dependent component. Application deadline is February 27th 2019 The full job announcement can be found here: https://uol.de/stellen/?stelle=66447 Please forward this message to people who might be interested Regards, ?? Jochem -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Head of Neuroimaging Unit Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865 From george at cs.ucy.ac.cy Fri Feb 8 09:09:52 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 8 Feb 2019 16:09:52 +0200 Subject: Connectionists: The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Third Call for Demos and Late Breaking Results References: <4AB8F882-4D87-462C-B18B-6791389543A0@cs.ucy.ac.cy> Message-ID: *** THIRD CALL FOR DEMOS AND LATE BREAKING RESULTS *** 27th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019 https://www.um.org/umap2019/ Submissions due: March 16, 2019 ACM UMAP - User Modelling, Adaptation and Personalization is the premier international conference for researchers and practitioners working on systems that adapt to individual users, to groups of users, and that collect, represent, and model user information. ACM UMAP 2019 invites Demonstrations and Late-Breaking Results (LBR) papers of innovative UMAP-based systems (including research prototypes). You are encouraged to submit your Demo or LBR by March 16th 2019. DEMONSTRATIONS Demonstrations will showcase research prototypes and commercially available products in a dedicated session. Demo submissions must be based on an implemented and tested system that pursues one or more innovative ideas in the interest areas of the conference. Demonstrations are an excellent and exciting way to showcase implementations and to get valuable feedback from the community. Each demo submission must make clear which aspects of the system will be demonstrated, and how. To better identify the value of demos, we also encourage authors to submit a pointer to a screencast (max. 5 minutes on Vimeo or YouTube) or to any external material related to the demo (e.g., shared code on GitHub). Descriptions of demonstrations should have a length of max. 2 pages in the ACM SIG proceedings template. On an extra page (not to be published), submissions should include a specification of the technical requirements for demonstrating the system at UMAP 2019. LATE-BREAKING RESULTS Late-Breaking Results (LBR) are research-in-progress that must contain original and unpublished accounts of innovative research ideas, preliminary results, industry showcases, and system prototypes, addressing both the theory and practice of User Modeling, Adaptation and Personalization. In addition, papers introducing recently started research projects or summarizing project results are welcome as well. We encourage researchers and practitioners to submit a late-breaking work as it provides a unique opportunity for sharing valuable ideas, eliciting useful feedback on early-stage work, and fostering discussions and collaborations among colleagues. Late-Breaking Results papers have a length of 4 to 6 pages in the ACM SIG proceedings template and will be presented to the conference as posters. SUBMISSION AND REVIEW PROCESS Submissions (demos and late-breaking results) must adhere to the ACM SIG Standard (SIGCONF) proceedings template. A template can be found at: https://www.acm.org/publications/proceedings-template . Submit your papers in PDF format via EasyChair for ACM UMAP 2019 Demos and Late-Breaking Results at: https://easychair.org/conferences/?conf=umap2019_demo-lbr . The review process will be single blinded, i.e. authors' names should be included in the papers. Submissions will be reviewed by at least two independent reviewers. They will be assessed based on their originality and novelty, potential contribution to the research field, potential impact in particular use cases, and the usefulness of presented experiences, as well as their overall readability. Papers that exceed the page limits (2 pages for demos and 6 pages for LBR) or do not adhere to the formatting guidelines will be returned without review. IMPORTANT DATES ? Submission of demos and LBR papers: March 16th, 2019 ? Notification of acceptance: April 5th, 2019 ? Camera-ready versions of accepted papers: April 15th, 2019 Note: The submissions times are 11:59 pm Anywhere on Earth. PUBLICATION AND PRESENTATION Accepted Demo and Late Breaking Results papers will be published in the ACM UMAP 2019 Adjunct Proceedings in the ACM Digital Library. All categories will be presented at the poster reception of the conference, in the form of a poster and/or a software demonstration following poster format. This form of presentation will provide presenters with an opportunity to obtain direct feedback about their work from a wide audience during the conference. At least one author of each accepted paper must register for the conference and present the paper there. LATE-BREAKING RESULTS AND DEMO CHAIRS ? Styliani Kleanthous, University of Cyprus, Cyprus & RISE LIMITED, Cyprus (Contact: stellak AT ucy.ac.cy) ? Maria Bielikova, Slovak University of Technology Bratislava, Slovakia ? Ben Steichen, California State Polytechnic University, Pomona, USA -------------- next part -------------- An HTML attachment was scrubbed... URL: From havr0952 at colorado.edu Fri Feb 8 11:57:40 2019 From: havr0952 at colorado.edu (Hana Vrzakova) Date: Fri, 8 Feb 2019 16:57:40 +0000 Subject: Connectionists: Postdoctoral Researcher in Multimodal Multiparty Interaction, CU Boulder, Colorado (starting Summer/Fall 2019) Message-ID: The Department of Computer Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow starting in Summer/Fall 2019 for one year and renewable for a second year. This position will work with Dr. Sidney D?Mello https://www.colorado.edu/ics/sidney-dmello and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, Psychology/Neuroscience, and Education. * Who we are: The mission of the Institute of Cognitive Science (ICS) at CU-Boulder is to understand and enhance human cognition, learning, and development through the creation of interdisciplinary partnerships. ICS fosters rich scientific interchange across researchers from a broad range of disciplines including Artificial Intelligence, Linguistics, Psychology, Neuroscience, Computer Science, Philosophy, and Education. *What your key responsibilities will be: Develop computational modeling and machine learning techniques to model behavioral and mental states (e.g., affect, attention, workload) from multimodal data (e.g., video, audio, physiology, eye gaze) across a range of interaction contexts (e.g., learning from educational games, collaborative problem solving, everyday activities in the wild). This position offers a unique postdoctoral training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. The candidate will be encouraged to develop advanced technical skills, strengthen their research portfolios via peer-reviewed publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills by mentoring students, and gain expertise in co-authoring grant proposals. * Requirements: - Ph.D. in Computer Science/Machine Learning or a related field (at the time of hire). - Research experience in computational modeling and advanced machine learning (e.g., graphical models, deep recurrent neural networks). - Strong writing skills and ability to conduct independent research as evidenced by first author publications. * Desired: - Research experience in one or more of the following areas (computer vision, computational psychophysiology, natural language processing, speech processing). - Background in interdisciplinary research. - Experience mentoring graduate and undergraduate students. * Job details: - 1-2 year position. Initial contract is for one year (providing renewal after 6-month probationary period). Second year contract is based on performance and extension to a third year is possible. - Start date is negotiable, but anticipated for Summer/Fall 2019. - Competitive salary commensurate with experience and full benefits. * Application: To apply, please submit the following materials through CU Boulder Jobs: - Resume/CV - Cover Letter - PDF Sample of Work: Two representative publications. During the application process you will need to enter contact information for three references and we will request letters of recommendation and additional materials, if needed, as the search progresses. Review of applications will begin immediately and will continue until the position is filled. =================================== Be Accomplished. Be Resourceful. Be Boulder. https://www.colorado.edu/ics/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.madden at nuigalway.ie Fri Feb 8 13:07:12 2019 From: michael.madden at nuigalway.ie (Madden, Michael) Date: Fri, 8 Feb 2019 18:07:12 +0000 Subject: Connectionists: Job opportunities: three academic posts in computer science in National University of Ireland Galway: areas include machine learning, AI, data analytics Message-ID: Dear colleagues, I would appreciate it if you would bring these positions to the attention of anybody who may be interested in them. The National University of Ireland Galway, which is ranked in the top 1% of universities in the world, is seeking to recruit three excellent people for new roles as we expand and grow our School of Computer Science: * A permanent lecturer position in Computer Science (roughly equivalent to tenured assistant professorships in North America) * Two contract lecturer positions in Computer Science, initially for 1 year, renewable We have a deep commitment to equality and diversity, including achieving equality of opportunity for all staff, irrespective of their gender. The deadline for applications is 12 Feb (contract posts) and 26 Feb (permanent post). You can find more information, including job specs and how to apply, here: http://www.it.nuigalway.ie/engineering-informatics/information-technology/people/vacancies/ About the Posts: Research contribution is of fundamental importance in the role. It is anticipated that the new appointee(s) will develop an outstanding research programme in a relevant area of Computer Science, attracting R&D funding in fundamental and applied research areas. The appointee(s) will also be required to develop national and international collaborations with academia and industry. The new appointee(s) will be expected to disseminate their work through peer-reviewed journals and high-impact conferences. While applications are invited from any branch of Computer Science, we are particularly interested in candidates whose teaching and research specialisms complement those of the Discipline of Information Technology, in domains including but not limited to: artificial intelligence; machine learning; cloud computing; complex information visualisation; data analytics; computer forensics and cybersecurity; trust and privacy; complex and adaptive systems; embedded systems; digital media and games; and software engineering & quality. The successful candidate(s) will be required to contribute strongly to teaching fundamental and applied computer science on our portfolio of undergraduate and taught postgraduate programmes, as well as participating in programme administration, programme promotion, and outreach activities. The appointed candidate(s) will be expected to develop new curricula, prepare course materials, deliver course work, supervise undergraduate and postgraduate students in their project work, and conduct related administrative duties.. Best regards, Michael. -- Michael Madden Professor of Computer Science: www.it.nuigalway.ie Head of Machine Learning & Data Mining Research Group: http://datamining.it.nuigalway.ie/ +353-91-49-3797 (Office) / +353-86-795-2802 (Mobile) -------------- next part -------------- An HTML attachment was scrubbed... URL: From iturria.medina at gmail.com Sat Feb 9 07:30:48 2019 From: iturria.medina at gmail.com (Yasser Iturria Medina) Date: Sat, 9 Feb 2019 07:30:48 -0500 Subject: Connectionists: Postdoctoral Fellow in Multimodal Brain Imaging of Neurodegeneration In-Reply-To: References: Message-ID: *Postdoctoral Fellow in Multimodal Brain Imaging of Amyotrophic Lateral Sclerosis (ALS)* We are looking for a highly motivated postdoctoral student, for joining the *Neuroinformatics for Personalized Medicine* lab (NeuroPM) at the Montreal Neurological Institute (McGill University, Montreal, Canada). The postdoc will be under the supervision of Professors Yasser Iturria-Medina (McGill University) and Sanjay Kalra (University of Alberta), and will be expected to collaborate with multiple associated groups. The project, for one year and potentially extendable for another year, includes the analysis of direct multifactorial brain interactions and intra-brain network spreading of aberrant effects in Amyotrophic Lateral Sclerosis. The NeuroPM lab (*http://www.neuropm-lab.com/ *) is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative (*https://www.mcgill.ca/hbhl/ *), the Ludmer Center (*http://ludmercentre.ca/ *), and the McConnell Brain Imaging Center ( https://www.mcgill.ca/bic/), involving computationally intensive and interdisciplinary research on the brain. The MNI is an internationally renowned institution, characterized by the integration of research and patient care. The Kalra Lab (http://www.ualberta.ca/ALS/research/) has the mission of improving our understanding of ALS biology through brain imaging and translational research. It is the central coordinating site for the Canadian ALS Neuroimaging Consortium (CALSNIC), a multicenter research platform for the collection of harmonized imaging and behavioural data. Interested candidates should have a background in brain imaging and Matlab. Experience in neurodegeneration and brain computational analysis will be an asset. Interested persons should send their CV, a cover letter stating research interests, and two reference letters. The competition will remain open until the position is filled. *Contact*: Yasser Iturria Medina, Email: iturria.medina at gmail.com -- Yasser Iturria Medina, PhD. Montreal Neurological Institute, McGill University Montreal, Canada H3A 2B4, Phone # 514-398-1524 Lab: http://www.neuropm-lab.com/ -- Yasser Iturria Medina, PhD. Montreal Neurological Institute, McGill University Montreal, Canada H3A 2B4, Phone # 514-398-1524 Lab: http://www.neuropm-lab.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From papaleon at sch.gr Sat Feb 9 15:41:04 2019 From: papaleon at sch.gr (Papaleonidas Antonios) Date: Sat, 09 Feb 2019 22:41:04 +0200 Subject: Connectionists: AIAI2019 - EANN2019 Conference on Artificial Intelligence & Neural Networks Message-ID: <20190209224104.Horde.yCEe72iRmqnJ7vb4L5DjBdi@webmail.sch.gr> ** AIAI2019 / EANN 2019 PAPER SUBMISSION DEADLINE EXTENSION ** ?20TH INTERNATIONAL CONFERENCE ON ENGINEERING APPLICATIONS OF NEURAL NETWORKS 15TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS _EXTENDED PAPER SUBMISSION DEADLINE: 21ST OF FEBRUARY 2019_ PROCEEDINGS WILL BE PUBLISHED BY _SRINGER CCIS_?SERIES FOR EANN2019 AND IN _SPRINGER IFIP AICT_ FOR AIAI2019 TWO TRAVEL GRANT AWARDS WILL BE GIVEN TO TWO STUDENTS WHO WILL RECEIVE THE BEST PAPER AWARD OF EACH CONFERENCE BEST YOUNG RESEARCHER PAPER WILL RECEIVE A PRIZE WORTH OF 500 EUROS OF ANY BOOK SELECTION PUBLISHED BY SPRINGER. AIAI 2019 - EANN 2019, 24 - 26 MAY 2019 @ CRETE, GREECE View online version[1] LAST CALL FOR PAPERS FOR 20TH EANN - 15TH AIAI 2019 @ CRETE, GREECE Dear?Colleagues We would like to invite you to submit your work at the 20TH INTERNATIONAL CONFERENCE ON ENGINEERING APPLICATIONS OF NEURAL NETWORKS?(EANN2019[2]) -?15TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS?(AIAI2019[3]) joint Conferences. EANN2019[4] /?AIAI2019[5] are?Technically sponsored by INNS /?IFIP WG12.5? WEBSITES: EANN2019.EU[6]?-?AIAI2019.EU[7] ?NEW PAPER SUBMISSION DEADLINE: 21ST?OF FEBRUARY 2019 ? SPRINGER'S VOLUME 1000 WILL BE ASSIGNED?TO EANN2019 PROCEEDINGS _SPRINGER WILL CELEBRATE THIS EVENT BY:_ * Offering BEST PAPER EANN 2019 AWARD!! SPRINGER will support the best paper award of EANN 2019 for a prize worth of 500 EUROS of any book selection published by Springer. * Providing FREE ONLINE ACCESS to the EANN 2019 community for ALL THE PAST PROCEEDINGS (10 volumes) for 4 weeks. ALSO SPRINGER WILL ORGANIZE A BOOK PRESENTATION DURING THE 20TH EANN 2019 CONFERENCE. ? _IMPORTANT DATES:_ * PAPER SUBMISSION DEADLINE: 9TH?OF FEBRUARY 2019 _21ST OF FEBRUARY 2019_ * NOTIFICATION OF ACCEPTANCE: 3RD?OF MARCH?2019 * CONFERENCE: 24 - 26?OF MAY 2019 _SPECIAL ISSUES - PROCEEDINGS:_ Selected papers from the main event and workshops will be published in special issues of scientific Journals * SPECIAL ISSUE OF THE NEURAL COMPUTING AND APPLICATIONS SPRINGER JOURNAL IMPACT FACTOR 4.2 * SPECIAL ISSUE OF THE EVOLVING SYSTEMS JOURNAL (SPRINGER) PROCEEDINGS WILL BE PUBLISHED BY SRINGER CCIS?SERIES FOR EANN2019 AND IN SPRINGER IFIP AICT FOR AIAI2019 _VENUE:_ island of CRETE Greece, 5 stars?ALDEMAR KNOSSOS ROYAL BEACH RESORT[8] https://www.aldemar-resorts.gr/hotel/knossos-royal/[9] SPECIAL PRICES? are arranged for?conference participants[10] _WORKSHOPS:_ * 8th Mining Humanistic Data Workshop * 4th 5G-PINE (5G ? Putting Intelligence to the Network Edge) * 1st Workshop on Pervasive Intelligence (1st PEINT) _TUTORIALS:_ * ?"DEEP LEARNING IN MEDICINE AND BIOINFORMATICS: STATE OF ART AND POTENTIALITIES, VISIONS"? Tutorial (2 hours) by PROFESSOR PIETRO LIO, University of Cambridge, UK * ?"AUTOMATED MACHINE LEARNING FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY",? Tutorial (3 hours) by IOANNIS TSAMARDINOS, Vincenzo Lagani? _KEYNOTE SPEAKERS:_ * PROFESSOR PANAGIOTIS PAPAPETROU, Dept. of Computer and Systems Sciences, Stockholm University * DR. EVANGELOS ELEFTHERIOU, IBM Fellow, Cloud & Computing Infrastructure, Zurich Research Laboratory, Zurich, Switzerland * PROFESSOR PLAMEN ANGELOV, University of Lancaster, UK * DR. JOHN OOMMEN,??Chancellor?s Professor; Life Fellow: IEEE; Fellow: IAPRSchool of Computer Science, Carleton University, Ottawa, Canada? CONFERENCE TOPICS, CFPS AND SUBMISSIONS DETAILS CAN BE FOUND AT: * HTTP://WWW.AIAI2019.EU/CFP/[11] * HTTP://WWW.EANN2019.EU/CFP/[12] ? *** Apologies for cross-posting *** Dr Papaleonidas Antonios Publication Chair of AIAI2019 & EANN 2019 Civil Engineering Department Democritus University of Thrace papaleon at sch.gr[13] ?????????: ---------- [1] http://nhs6.mjt.lu/nl2/nhs6/li5ly.html?m=AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8&b=64f270f8&e=253a2065&x=4CrvIJrKp34pH0DebPylCw [2] http://nhs6.mjt.lu/lnk/AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8/1/CLIlmppF_Hfstbyuelb_XA/aHR0cDovL3d3dy5lYW5uMjAxOS5ldS8 [3] http://nhs6.mjt.lu/lnk/AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8/2/IXGLNuY1_q8AS-McjWXGYQ/aHR0cDovL3d3dy5haWFpMjAxOS5ldS8 [4] http://nhs6.mjt.lu/lnk/AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8/3/Gmo7YKKSCmjp7eu4prK5DQ/aHR0cDovL3d3dy5lYW5uMjAxOS5ldS8 [5] http://nhs6.mjt.lu/lnk/AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8/4/FzSdI2TFqy0Jx8OxdoM0hw/aHR0cDovL3d3dy5haWFpMjAxOS5ldS8 [6] http://nhs6.mjt.lu/lnk/AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8/5/So8m7IIlrAWGPWa9SWO9-A/aHR0cDovL3d3dy5lYW5uMjAxOS5ldS8 [7] http://nhs6.mjt.lu/lnk/AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8/6/mi9As27sXD1Pbp298I7SUA/aHR0cDovL3d3dy5haWFpMjAxOS5ldS8 [8] http://nhs6.mjt.lu/lnk/AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8/7/up1YkoMZ_7cpf3v04BbZdg/aHR0cHM6Ly93d3cuYWxkZW1hci1yZXNvcnRzLmdyL2hvdGVsL2tub3Nzb3Mtcm95YWwv [9] http://nhs6.mjt.lu/lnk/AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8/8/NCDtHJ6QQ5sKkTmwUFaVyQ/aHR0cHM6Ly93d3cuYWxkZW1hci1yZXNvcnRzLmdyL2hvdGVsL2tub3Nzb3Mtcm95YWwv [10] http://nhs6.mjt.lu/lnk/AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8/9/NgQVc11-z75hugTDurYtXA/aHR0cHM6Ly9hbGRlbWFya25vc3Nvc3JveWFsLnJlc2VydmUtb25saW5lLm5ldC8_Ymtjb2RlPUVBTk5fQUlBSTIwMTkmY2hlY2tpbj0yMDE5LTA1LTIy [11] http://nhs6.mjt.lu/lnk/AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8/10/Z3F40xGUeQk1xGvx4phiIg/aHR0cDovL3d3dy5haWFpMjAxOS5ldS9jZnAv [12] http://nhs6.mjt.lu/lnk/AMwAAC2BrMoAAbiWd0wAAADjC7EAAVQA6loAHXLqAAm9AABcXzOPmBQzFR09Ti6gDSINxfwWWQAJOX8/11/AoVoAMLggSUrHMVNAam2aQ/aHR0cDovL3d3dy5lYW5uMjAxOS5ldS9jZnAv [13] -------------- next part -------------- An HTML attachment was scrubbed... URL: From lzhang at cse.ust.hk Sat Feb 9 23:20:25 2019 From: lzhang at cse.ust.hk (Nevin L. Zhang) Date: Sun, 10 Feb 2019 12:20:25 +0800 Subject: Connectionists: Keeping Track of Latest Developments in AI with aipano.cse.ust.hk In-Reply-To: References: Message-ID: <6c199baa-545e-85e4-0509-977bab04bbc0@cse.ust.hk> The website**aipano.cse.ust.hkprovides a topic-based index to research papers published since 2000 at major AI and Machine Learning venues. It lets you keep track of the latest developments in AI and offers a fast way to find recent highly cited papers on various topics. Here are few screenshots of a session with the system to illustrate its functionalities. *Knowing the General Trends*: At the front page, you can perform sort by ?popularity: past year? to find the topics with the largest numbers of papers in the past year (2018): If you sort the topics by ?trend: 3 years?, you will find the topics with the fastest increase in popularity the past three years: It is interesting to find the topic ?causal, causality, causal-model, causal-inference, ?? at the 6^th position although the total number of papers on the topic is relatively small. ** *Keeping Track of the Latest Developments on a Topic*: By cicking on a topic, you will see its trend curve and, more importantly, papers on the topic that you might want to add to your reading list. Here is the trend curve of the topic ?layer, convolutional, convolutional-neural, cnn, pretrained, ??: Nearly 3,000 papers were published on the topic in 2018! Here are the most cited ones, which are good candidates for a reading list: CVPR 2018 Squeeze-and-Excitation Networks 425 CVPR 2018 Interpretable Convolutional Neural Networks 303 JMLR 2018 Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations 266 CVPR 2018 Learning Transferable Architectures for Scalable Image Recognition 252 ICML 2018 Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples 176 It is possible to narrow down the candidates by requiring key words. Here are the most cited papers in 2018 that contain the key word ?adversarial? in title. ICML 2018 Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples 176 ICML 2018 CyCADA: Cycle-Consistent Adversarial Domain Adaptation 111 ICLR 2018 Towards Deep Learning Models Resistant to Adversarial Attacks 77 ICML 2018 Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope 68 CVPR 2018 AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks 45 If you are interested in reinforcement learning, you might want to take a look at the topic?agent, mdp, reward, action, reinforcement-learning, ??: Here are the most cited papers on the topic published in 2018: _ACL_ _2018_ _Deep Reinforcement Learning for NLP _ _295_ _AAAI_ _2018_ _Deep Reinforcement Learning That Matters _ _133_ _AAAI_ _2018_ _Rainbow: Combining Improvements in Deep Reinforcement Learning _ _104_ _AAAI_ _2018_ _Counterfactual Multi-Agent Policy Gradients _ _79_ _AAAI_ _2018_ _Emergence of Grounded Compositional Language in Multi-Agent Populations _ _76_ ** *An Investigation into Work on Causality*: Here is the trend curve of the topic ?causal, causality, causal-model, causal-inference, ??: Here are the most cited papers on the topic in 2018, 2017 and since 2000: *Series* *Year* *Title* *Cited* AAAI 2018 Measuring Conditional Independence by Independent Residuals: Theoretical Results and Application in Causal Discovery 201 AAAI 2018 Fair Inference on Outcomes 31 JMLR 2018 Learning Certifiably Optimal Rule Lists for Categorical Data 29 ICML 2018 Neural Relational Inference for Interacting Systems 20 JMLR 2018 Uncovering Causality from Multivariate Hawkes Integrated Cumulants 15 ICLR 2017 A Compositional Object-Based Approach to Learning Physical Dynamics 40 EMNLP 2017 A causal framework for explaining the predictions of black-box sequence-to-sequence models 29 ICLR 2017 Revisiting Classifier Two-Sample Tests 25 NIPS 2017 Avoiding Discrimination through Causal Reasoning 24 NIPS 2017 Counterfactual Fairness 22 UAI 2001 Direct and Indirect Effects 889 UAI 2001 Causes and Explanations: A Structural-Model Approach --- Part 1: Causes 648 JMLR 2006 A Linear Non-Gaussian Acyclic Model for Causal Discovery 585 UAI 2007 Causal Bounds and Instruments 567 JMLR 2007 Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm 500 *Appearng Smart in Front of Students*: A student is interested in zero-shot learning. I searched for ?zero-shot? within several relevant topics and found the following papers: _From topic ?transfer-learning, multitask-learning, multitask, ??:_ ICML 2015 An embarrassingly simple approach to zero-shot learning 287 CVPR 2016 Synthesized Classifiers for Zero-Shot Learning 90 AAAI 2016 Transductive Zero-Shot Recognition via Shared Model Space Learning 42 IJCAI 2016 Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning 32 CVPR 2017 Learning a Deep Embedding Model for Zero-Shot Learning 28 _From topic ?lstm, recurrent-neural, rnn, recurrent, ??:_ CVPR 2016 Multi-cue Zero-Shot Learning with Strong Supervision 39 CVPR 2017 Learning a Deep Embedding Model for Zero-Shot Learning 28 ICML 2017 Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning 16 EMNLP 2017 Zero-Shot Activity Recognition with Verb Attribute Induction 10 CVPR 2018 Multi-Label Zero-Shot Learning With Structured Knowledge Graphs 6 _From topic ?layer, convolutional, convolutional-neural, cnn, ??:_ NIPS 2013 Zero-Shot Learning Through Cross-Modal Transfer 532 ICLR 2014 Zero-Shot Learning by Convex Combination of Semantic Embeddings 222 ACL 2015 Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning 67 IJCAI 2015 Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection 56 CVPR 2016 Multi-cue Zero-Shot Learning with Strong Supervision 39 *Other Uses*: Do your ever wonder how AIJ and JMLR differ in terms of topics? Here is what I found on aipanofor the past 5 years. In summary, aipanoprovides a panoramic view of the AI literature. It lets you keep track of the latest developments in AI and offers a fast way to find recent highly cited papers on various topics.** -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: bgiagehgihfigneh.png Type: image/png Size: 187329 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: hnomjdfodiinpjbc.png Type: image/png Size: 189620 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ckkjnjalmpkobeam.png Type: image/png Size: 42634 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: akboeheepakapdja.png Type: image/png Size: 46421 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: eddalidlfioglgpd.jpg Type: image/jpeg Size: 29067 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: dakbmfieembnhnjb.jpg Type: image/jpeg Size: 127449 bytes Desc: not available URL: From syousefy at gmail.com Sat Feb 9 17:03:49 2019 From: syousefy at gmail.com (Siamak Yousefi) Date: Sat, 9 Feb 2019 16:03:49 -0600 Subject: Connectionists: Postdoctoral Fellow Position in Ophthalmic Data Mining and Machine Learning Message-ID: We have an immediate open position for a Postdoctoral Fellow to work on ophthalmic data mining and machine learning. The official announcement is not out yet, but you could contact me if you are interested. This is a multi-center NIH-funded project involving University of Tennessee Health Science Center in Memphis, Harvard, Johns Hopkins, and Mount Sinai. The successful applicant has the opportunity to rotate to one other institute as well (short-term, upon approval). We have access to one of the largest visual field and retinal imaging datasets across the world. We have developed numerous conventional machine learning and emerging deep learning approaches to identify glaucoma onset and progression over the past few years. In this project, we attempt to develop hybrid models to enhance detecting glaucoma progression as early as possible. Therefore, a number of exciting topics such as longitudinal data analysis, change detection, long short term memory models, and unsupervised machine learning are involved. Please send an email to siamak.yousefi at uthsc.edu if you are interested. https://academic.uthsc.edu/faculty/facepage.php?netID=syousef1&personnel_id=351869 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ht395 at cornell.edu Sun Feb 10 01:31:01 2019 From: ht395 at cornell.edu (Sarah Tan) Date: Sun, 10 Feb 2019 01:31:01 -0500 Subject: Connectionists: CFP: ICLR 2019 Workshop on Debugging ML models In-Reply-To: References: Message-ID: ------------------------------------------------------------------------ CFP: ICLR 2019 Workshop on Debugging ML models Monday May 6, 2019. New Orleans https://debug-ml-iclr2019.github.io/ ------------------------------------------------------------------------ Machine learning (ML) models are increasingly being employed to make highly consequential decisions pertaining to employment, bail, parole, and lending. While such models can learn from large amounts of data and are often very scalable, their applicability is limited by certain safety challenges. A key challenge is identifying and correcting systematic patterns of mistakes made by ML models before deploying them in the real world. The goal of this workshop, held at the International Conference on Learning Representations (ICLR), is to bring together researchers and practitioners with different perspectives on debugging ML models. Topics of interest are listed below, although we also welcome submissions that do not directly fit into these topics. - Debugging via interpretability: How can interpretable models and techniques aid us in effectively debugging ML models? - Program verification as a tool for model debugging: Are existing program verification frameworks readily applicable to ML models? If not, what are the gaps that exist and how do we bridge them? - Visualization tools for debugging ML models: What kind of visualization techniques would be most effective in exposing vulnerabilities of ML models? - Human-in-the-loop techniques for model debugging: What are some of the effective strategies for using human input and expertise for debugging ML models? - Novel adversarial attacks for highlighting errors in model behavior: How do we design adversarial attacks that highlight vulnerabilities in the functionality of ML models? - Theoretical correctness of model debugging techniques: How do we provide guarantees on the correctness of proposed debugging approaches? Can we take cues from statistical considerations such as multiple testing and uncertainty to ensure that debugging methodologies and tools actually detect ?true? errors? - Theoretical guarantees on the robustness of ML models: Given a ML model or system, how do we bound the probability of its failures? - Insights into errors or biases of real-world ML systems: What can we learn from the failures of widely deployed ML systems? - Best practices for debugging large scale ML systems: What are standardized best practices for debugging large-scale ML systems? Important Dates: - Submission deadline: March 1, 2019, 11.59pm Pacific Time - Acceptance notification: March 18, 2019 (before ICLR early registration deadline) - Camera-ready deadline for accepted papers: April 6, 2019 - Workshop: Monday May 6, 2019 If you are a student/postdoc, we encourage you to apply for ICLR?s volunteer and travel grants before their March 13 deadline. If you need a visa to travel to the US, consider submitting your paper before the submission deadline. Then contact us so that we can fast track reviewing of your paper. Submission Instructions: - Submission page: https://easychair.org/conferences/?conf=debugml19 - Submit anonymized papers of up to 4 pages (not including references) using the ICLR template. The 4 page limit is strict, but references can be as many pages as needed. - The reviewing process is double blind. Hence, please ensure that the PDF does not contain any information that could identify authors or institutions. Do not put author names or institutions in the filename of the PDF. - Concurrent submission to other venues (journal, conference, workshop) is allowed. Work already published in a journal, conference, or workshop should be extended in a meaningful way. Accepted papers will be presented as posters at the workshop. Additionally, some accepted papers will also be invited to present spotlight or oral talks at the workshop. Selected papers will be recognized with Best Research Paper, Best Applied Paper, Best Student Paper awards. Camera-ready versions of accepted papers will be uploaded to the conference website (unless requested not to), but there will be no formal published proceedings. Please check the workshop website https://debug-ml-iclr2019.github.io/ for updated information and email debugging.ml at gmail.com any questions. Organizers: Himabindu Lakkaraju (Harvard University) Sarah Tan (Cornell University and UCSF) Julius Adebayo (MIT) Jacob Steinhardt (Open Philanthropy Project and OpenAI) D. Sculley (Google) Rich Caruana (Microsoft Research) -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Sun Feb 10 08:56:32 2019 From: jose at rubic.rutgers.edu (=?UTF-8?Q?Stephen_Jos=c3=a9_Hanson?=) Date: Sun, 10 Feb 2019 08:56:32 -0500 Subject: Connectionists: Stochastic Delta Rule-update Message-ID: <194bdc57-762e-99c0-30eb-5f261bd49568@rubic.rutgers.edu> This is an update of a post a few months back, where we introduced a generalization of DROPOUT for DLs called the Stochastic Delta Rule.?? We have updated? now all properly tested benchmarks which? still show a significant improvement in all cases for SDR in both accuracy and speed over DROPOUT. ??? We have added more benchmarks including for ImageNet and updated the paper which is attached to this post. The Github is also completely updated with updated PyTorch code and results and relevant usage comments here: https://github.com/noahfl/sdr-densenet-pytorch -- Stephen Jos? Hanson Professor Director RUBIC (University-Wide) Department of Psychology (NK) Cognitive Science Center (NB) -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Sun Feb 10 08:53:57 2019 From: jose at rubic.rutgers.edu (=?UTF-8?Q?Stephen_Jos=c3=a9_Hanson?=) Date: Sun, 10 Feb 2019 08:53:57 -0500 Subject: Connectionists: IMaGES CRAN package for graph brain connectivity identification Message-ID: <332781c0-9a38-f0c9-af29-8327f951c4b1@rubic.rutgers.edu> This is a new implementation and update for IMaGES: Functions for the implementation of Independent Multiple-sample Greedy Equivalence Search (IMaGES), a causal inference algorithm for creating aggregate graphs and structural equation modeling data for one or more datasets. This package is useful for time series data with specific regions of interest. This implementation is inspired by the paper "Six problems for causal inference from fMRI" by Ramsey, Hanson, Hanson, Halchenko, Poldrack, and Glymour (2010) >. The IMaGES algorithm uses a modified BIC score to compute goodness of fit of edge additions, subtractions, and turns across all datasets and returns a representative graph, along with structural equation modeling data for the global graph and individual datasets, means, and standard errors. Functions for plotting the resulting graph(s) are provided. This package is built upon the 'pcalg' packageand can be found here: https://cran.r-project.org/web/packages/IMaGES/index.html -- Stephen Jos? Hanson Professor Director RUBIC (University-Wide) Department of Psychology (NK) Cognitive Science Center (NB) -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Sun Feb 10 11:31:08 2019 From: nemanja at temple.edu (Nemanja Djuric) Date: Sun, 10 Feb 2019 11:31:08 -0500 Subject: Connectionists: CfP: CVPR 2019 Workshop - "Precognition: Seeing through the Future" Message-ID: Call for Workshop Papers Precognition: Seeing through the Future in conjunction with The 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019) Long Beach, CA, USA, June 16th-21th, 2019 https://sites.google.com/view/ieeecvf-cvpr2019-precognition ================= Despite its potential and relevance for real-world applications, visual forecasting or precognition has not been in the focus of new theoretical studies and practical applications as much as detection and recognition problems. Through organization of this workshop we aim to facilitate further discussion and interest within the research community regarding this nascent topic. The workshop will discuss recent approaches and research trends not only in anticipating human behavior from videos, but also precognition in multiple other visual applications, such as: medical imaging, health-care, human face aging prediction, early event prediction, autonomous driving forecasting, and so on. In addition, this workshop will give an opportunity for the community in both academia and industry to meet and discuss about future work and research directions. It will bring together researchers from different fields and viewpoints to discuss existing major research problems and identify opportunities in further research directions in both research topics and industrial applications. ================= Topics: The workshop focuses on several important aspects of visual forecasting. The topics of interest for this workshop include, but are not limited to: - Early event prediction - Activity forecasting - Multi-agent forecasting - Human behavior prediction - Human face aging prediction - Anticipation of trajectories - Short- and long-term prediction and diagnoses in medical imaging - Predicting frames and features in videos and other sensors in autonomous driving - New theories and applications in visual forecasting models - Databases, evaluation, and benchmarking in precognition ================= Submission Instructions: All submitted work will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted submission, at least one author must attend the workshop and present the paper. There are two ways to contribute submissions to the workshop: - Extended abstracts submissions are single-blind peer-reviewed, and author names and affiliations should be listed. Extended abstract submissions are limited to a total of four pages. Accepted abstracts will be presented at the poster session, and will not be included in the printed proceedings of the workshop. - Full paper submissions are double-blind peer-reviewed. The submissions are limited to a total of eight pages, including all content and references, must be in PDF format, and formatted according to the CVPR style (additional information about formatting and style files is available here). Accepted papers will be presented at the poster session, with selected papers also being presented in an oral session. All accepted papers will be published by the CVPR in the workshop proceedings. Submission website: https://easychair.org/conferences/?conf=precognition2019 ================= Important Deadlines: Submission : March 24th, 2019 Decisions : March 31th, 2019 Camera-ready : April 7th, 2019 Workshop : June 16th, 2019 ================= Program Committee Chairs: - Dr. Khoa Luu (University of Arkansas) - Dr. Kris Kitani (Carnegie Mellon University) - Dr. Minh Hoai Nguyen (Stony Brook University) - Dr. Hien Van Nguyen (University of Houston) - Dr. Nemanja Djuric (Uber ATG) - Dr. Utsav Prabhu (Google) For further questions please contact a member of the organizing committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sun Feb 10 22:06:32 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Mon, 11 Feb 2019 03:06:32 +0000 Subject: Connectionists: Call for Papers: SBP-BRiMS 2019 -- Social Computing, Behavior/Cultural Modeling, Prediction and Simulation In-Reply-To: References: , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2019 2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 9-12, 2019, Lehman Auditorium, George Washington University, Washington DC, US http://sbp-brims.org/ #sbpbrims CALL FOR PAPERS: SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interests include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and/or evolution * Collective action and governance * Information, belief, technology of disease diffusion * Public opinion representation, identification and modeling * Information diffusion * Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations * Validation and analysis techniques for social behavioral models Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes over time or space * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Social Cyber-Security applications * Social simulation for military training * Cyber diplomacy * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Applications for Health and Well-being * Data science applied to health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation CHALLENGE PROBLEMS: There will be two data science challenges, one on opioids and one on disinformation. Additional details are posted on the conference website, SBP-BRiMS.org/challenge. The deadline for submissions this year will be 17-May-2019. IMPORTANT DATES: Regular Paper Submission: 22-February-2019 Author Notification: 22-March-2019 Final Version Submission for Regular Papers: 12-April-2019 Challenge Problem Paper Submission: 17-May-2019 All accepted papers require confirmation of conference registration when uploading final versions. Each accepted paper requires a separate registration. All regular papers will be a maximum of 10 pages including all figures, tables and references. See http://sbp-brims.org/cfp for more information on formatting AWARDS: All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. Submission of a paper to the conference means that the authors consent to send an extended version to the special issue, should they receive one of the awards. Papers receiving the best paper awards, the best student paper award, winner of the opioid challenge, and winner of the disinformation challenge will then send an extended version of their paper for publication in the best of SBP-BRiMS 2019 special issue. -------------- next part -------------- An HTML attachment was scrubbed... URL: From michel.verleysen at uclouvain.be Sun Feb 10 16:20:09 2019 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Sun, 10 Feb 2019 21:20:09 +0000 Subject: Connectionists: ESANN 2019 program available Message-ID: We apologize for possible duplicates of this message sent to distribution lists. ESANN 2019: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium, 24-26 April 2019 http://www.esann.org/ The preliminary program of the ESANN 2019 conference is now available: http://www.esann.org/. For 27 years the ESANN conference has become a major event in the field of neural computation and machine learning. ESANN is a selective conference focusing on fundamental aspects of artificial neural networks, machine learning, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. ESANN 2019 will include the following sessions: - Classification and Bayesian learning - Embeddings and Representation Learning for Structured Data - Deep learning and CNN - Learning methods and optimization - 60 Years of Weightless Neural Systems - Domain adaptation and learning - Streaming data analysis, concept drift and analysis of dynamic data sets - Societal Issues in Machine Learning: When Learning from Data is Not Enough - Statistical physics of learning and inference - Image processing and transfer learning - Time series and signal processing - Dynamical systems and reinforcement learning The program of the conference can be found at http://www.esann.org/, together with practical information about the conference venue, registration, etc. The conference will be held in Bruges (also called "Venice of the North"), one of the most beautiful medieval towns in Europe. Bruges can be reached by train from Brussels in less than one hour (frequent trains). Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. [cid:BA0CEBA4-4F7E-4ACE-8F18-A922077AB127 at ast.ucl.ac.be] Michel Verleysen Professor Louvain School of Engineering (EPL) ICTEAM institute Place du Levant, 3 box L5.03.02 B-1348-Louvain-la-Neuve michel.verleysen at uclouvain.be T?l. +32 10 47 25 51 - Fax +32 10 47 25 98 perso.uclouvain.be/michel.verleysen -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.jpg Type: image/jpeg Size: 24337 bytes Desc: image001.jpg URL: From fabio.bellavia at unifi.it Mon Feb 11 05:50:42 2019 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Mon, 11 Feb 2019 11:50:42 +0100 Subject: Connectionists: CAIP 2019 CONTEST on LOCAL IMAGE DESCRIPTORS - Deadline 28th MARCH 2019 Message-ID: <19c1d488-07ce-2c1e-3265-592cb63c31fc@unifi.it> *************************************************** ??? CAIP 2019 CONTEST on LOCAL IMAGE DESCRIPTORS ??????? Apologies for multiple posting ?Please distribute this call to interested parties *************************************************** ___________________________________________________ ? ? ? ? ?? ??? WHICH IS WHICH? ??? Evaluation of local descriptors for image ??????? matching in real-world scenarios ___________________________________________________ ???????????????? a contest at the 18th International Conference on Computer Analysis ???????? of Images and Patterns (CAIP 2019) ?????? Salerno, Italy, September 3-5, 2019 ? >>> http://cvg.dsi.unifi.it/wisw.caip2019 <<< **************************************** ?????????? Important Dates **************************************** February 1, 2019 - website online ? March 21, 2019 - dataset online ? March 28, 2019 - submission deadline ? April 15, 2019 - results online This contest is devoted to image matching using local image descriptors. In order to test descriptor effectiveness for real-world scenarios, we have built an image pair dataset including non-trivial transformations induced by relevant viewpoint changes with respect to either planar or non-planar scenes. The evaluation metrics will be based on the exact overlap error for the planar case, and on a patch-wise approximation to it for the non-planar case. Participants will be able to download the local image patches from which to extract descriptors. The matched descriptor pairs, formatted according to the submission instructions, will be sent for evaluation to the official e-mail of the contest. Results will be published online within two weeks after the deadline. The most interesting descriptors will be selected for possible publication in the forthcoming Special Issue "Local Image Descriptors in Computer Vision" of the international journal IET COMPUTER VISION. -------------- ?Organizers -------------- Fabio Bellavia and Carlo Colombo Computational Vision Group University of Florence, Italy Contact - wisw.caip2019 at gmail.com Webpage - http://cvg.dsi.unifi.it/wisw.caip2019 PDF flyer - http://cvg.dsi.unifi.it/cvg/img/wisw.caip2019_flyer.pdf From fabio.bellavia at unifi.it Mon Feb 11 05:50:24 2019 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Mon, 11 Feb 2019 11:50:24 +0100 Subject: Connectionists: IET Computer Vision - special issue on Local Image Descriptors - deadline Aug 1st 2019 Message-ID: ????????? Apologies for multiple posting ?? Please distribute this call to interested parties ******************************************************** ??????????? Call for Papers -- special issue ? of the international journal IET Computer Vision on ??? ---------------------------------------------- ????? Local Image Descriptors in Computer Vision ??? ---------------------------------------------- Local image descriptors are involved in a multitude of relevant computer vision tasks dealing with point correspondences among several images, from registration through detection to classification. This has ensured that local image descriptors remained an evergreen topic through the years, up to the modern solutions and challenges arising from deep learning advances, big data and hardware improvements. This special issue will provide the computer vision community with the opportunity to systematically collect and share the latest developments and trends on this active research field. It will also offer scientists the chance to propose original ideas and uncommon approaches, out of the mainstream ones, and open to unexplored research directions. Topics include, but are not limited to: - recent advances in local image detector and descriptor design - handcrafted vs deep and general data-driven local descriptors - time and storage efficient descriptor solutions - local image descriptors for large-scale scenarios - enhanced matching with statistical and spatial constraints - uncommon and innovative applications of local descriptors - deep local descriptors interpretation and visualization - descriptor evaluation, new benchmark protocols and datasets **************************************** ?? Submission Deadline: 1 August 2019 **************************************** Submit your paper to manuscript submission and peer review site via the following link: ??????????? >>>>>> www.ietdl.org/IET-CVI <<<<<< ----------------- ?Editor-in-Chief ----------------- Majid Mirmehdi, University of Bristol, UK ---------------- ?Guest Editors ---------------- Carlo Colombo, University of Florence, Italy Fabio Bellavia, University of Florence, Italy ---------------------------------------- Pdf flyer of the call for special issue ---------------------------------------- https://digital-library.theiet.org/files/IET_CVI_Local_Image_Descriptors.pdf From smart at neuralcorrelate.com Mon Feb 11 09:43:25 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Mon, 11 Feb 2019 09:43:25 -0500 Subject: Connectionists: ECEM 2019: Final Deadline for Symposia submissions and Keynote Speaker announcement In-Reply-To: <008c01d4c217$f04be8d0$d0e3ba70$@neuralcorrelate.com> References: <008c01d4c217$f04be8d0$d0e3ba70$@neuralcorrelate.com> Message-ID: <00c101d4c218$283dcf10$78b96d30$@neuralcorrelate.com> Dear colleagues, Due to multiple requests, the deadline for symposia proposals for the 2019 European Conference on Eye Movements (ECEM) has been further extended until March 5th (final deadline). Please find full details at: https://goo.gl/8pfRHN Abstract submissions for talk/poster sessions are now also open, until April 5th: https://goo.gl/pMDd6W Register before the early fee deadline and save on fees. Early registration deadline: June 17th. We are also delighted to announce ECEM 2019?s confirmed 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) ECEM 2019 will be in Alicante, Spain (August 18-22) Alicante, with more than 320,000 inhabitants, is a traditional maritime city located on the Mediterranean Sea. The old part of the city encompasses Postiguet Beach, two marinas and a large commercial port. The city embraces an imposing 166-meter rocky hill right next to the sea, Monte Benacantil, crowned by The Castillo de Santa B?rbara (Santa Barbara Castle). This is one of the largest castles on the Mediterranean, and the conference dinner will take place within its premises, with breathtaking views over the city and the Mediterranean. The slopes of Monte Benacantil surround the old city of Alicante (El Barrio) like a shield. El Barrio is well known for its vibrant nightlife. The local organizing team has secured a large block of hotel rooms at special discounted rates for the conference. Specific hotel information will be made available on the website in March 2019. Lodging in the area is reasonably priced, but accommodations can become limited in the high summer season. We advise early hotel reservation. Publication of Abstracts Accepted abstracts will be published as a special issue in the Journal of Eye Movement Research (Editor: Rudolf Groner, Bern). ECEM 2017?s abstracts are available at: https://goo.gl/1inmxT On Behalf of the Local Organization Committee Please feel free to share this information with your colleagues. We look forward to welcoming you to Alicante! Luis Martinez-Otero (chair), Albert Compte, and Susana Martinez-Conde -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From dayan.eran at gmail.com Mon Feb 11 12:17:43 2019 From: dayan.eran at gmail.com (Eran Dayan) Date: Mon, 11 Feb 2019 12:17:43 -0500 Subject: Connectionists: Postdoctoral Research Associate in Computational Neuroimaging Message-ID: A Postdoctoral Research Associate position is immediately open to work with the Network Neuroscience lab (dayanlab.web.unc.edu) at the Biomedical Research Imaging Center, University of North Carolina at Chapel Hill. The position is open to accomplished and highly motivated candidates, with an interest in neuroimaging and clinical neuroscience. The lab focuses on fundamental questions relating to brain network organization in health and disease, while aiming to develop methods and tools that could eventually be used in the clinic. The Postdoctoral Research Associate will develop and test a dimensional analysis framework for neurological dysfunction, using rich existing multimodal neuroimaging datasets. Ample training and career development opportunities will be provided, as well as opportunities to collaborate with other groups within and outside UNC. Ph.D. or an MD/Ph.D. in Neuroscience, Computer Science, Biomedical Engineering, Physics, Psychology or other related fields is required. Excellent quantitative background, relevant programming experience (MATLAB, Python or R), experience analyzing functional and/or structural MRI data and a track record of first-author publications in peer-reviewed journals are required. Experience in machine learning (particularly deep learning) would be advantageous. To apply, please visit https://unc.peopleadmin.com/postings/107413 and click the Apply for this Job link/button. For informal inquiries about the position, please email Dr. Eran Dayan at: eran_dayan at med.unc.edu The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin -------------- next part -------------- An HTML attachment was scrubbed... URL: From rosemary.nan.ke at gmail.com Mon Feb 11 23:53:08 2019 From: rosemary.nan.ke at gmail.com (Rosemary Ke) Date: Mon, 11 Feb 2019 23:53:08 -0500 Subject: Connectionists: ICLR 2019 workshop on reproducibility in machine learning Message-ID: ---------------------------------------------------------------------------------------- Call for papers: ICLR 2019 workshop on reproducibility in machine learning. Monday May 6, 2019. New Orleans https://sites.google.com/view/icml-reproducibility-workshop/home ---------------------------------------------------------------------------------------- Our aim in the following workshop is to raise the profile of these questions in the community and to search for their answers. In doing so we aim for papers focusing on the following topics: Analysis of the current state of reproducibility in machine learning. Some examples of this include experimental-driven investigations as in [1,2,3] Investigations and proposals of proper experimental procedure and evaluation methodologies which ensure reproducible and fair comparisons in novel literature [4] Evidence-driven works investigating the importance of reproducibility in machine learning and science in general Connections between the reproducibility situation in Machine Learning and other fields Rigorous replications, both failed and successful, of influential papers in the Machine Learning literature. We will accept both short paper (4 pages) and long paper (8 pages) submissions (not including references). Submissions should be in the NIPS 2018 format. A few papers may be selected as oral presentations, and the other accepted papers will be presented in a poster session. There will be no proceedings for this workshop, however, upon the author?s request, accepted contributions will be made available in the workshop website. Submission are single-blind, peer-reviewed on OpenReview ( https://openreview.net/group?id=ICLR.cc/2019/Workshop/RML), and open to already published work. Organizers: Anirudh Goyal (Mila, University of Montreal) Alex Lamb (Mila, University of Montreal) Nan Rosemary Ke (Mila, University of Montreal) Olexa Bilaniuk (Mila, University of Montreal) Yoshua Bengio (Mila, University of Montreal) -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Tue Feb 12 05:10:19 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Tue, 12 Feb 2019 11:10:19 +0100 Subject: Connectionists: Call for ECML PKDD tutorial proposals Message-ID: An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Tue Feb 12 06:53:33 2019 From: irina.illina at loria.fr (Irina Illina) Date: Tue, 12 Feb 2019 12:53:33 +0100 (CET) Subject: Connectionists: Research engineer or post-doc position in Natural Language Processing (LORIA, France) In-Reply-To: References: <563224855.15324328.1541364984538.JavaMail.zimbra@loria.fr> Message-ID: <1752075069.2407886.1549972413785.JavaMail.zimbra@loria.fr> Research engineer or post-doc position in Natural Language Processing: Introduction of semantic information in a speech recognition system Supervisors: Irina Illina, MdC, Dominique Fohr, CR CNRS Team: Multispeech, LORIA-INRIA (https://team.inria.fr/multispeech/) Contact: illina at loria.fr, dominique.fohr at loria.fr Duration: 12-15 months Deadline to apply : December 20th, 2019 Required skills: Strong background in mathematics, machine learning (DNN), statistics, natural language processing and computer program skills (Perl, Python). Following profiles are welcome, either: Strong background in signal processing or Strong experience with natural language processing Excellent English writing and speaking skills are required in any case. Candidates should email a detailed CV with diploma and to apply on http://jobs.inria.fr/public/classic/en/offres/ LORIA is the French acronym for the ?Lorraine Research Laboratory in Computer Science and its Applications? and is a research unit (UMR 7503), common to CNRS, the University of Lorraine and INRIA. This unit was officially created in 1997. Loria?s missions mainly deal with fundamental and applied research in computer sciences. MULTISPEECH is a joint research team between the Universit? of Lorraine, Inria, and CNRS. Its research focuses on speech processing, with particular emphasis to multisource (source separation, robust speech recognition), multilingual (computer assisted language learning), and multimodal aspects (audiovisual synthesis). Context and objectives Under noisy conditions, audio acquisition is one of the toughest challenges to have a successful automatic speech recognition (ASR). Much of the success relies on the ability to attenuate ambient noise in the signal and to take it into account in the acoustic model used by the ASR. Our DNN (Deep Neural Network) denoising system and our approach to exploiting uncertainties have shown their combined effectiveness against noisy speech. The ASR stage will be supplemented by a semantic analysis. Predictive representations using continuous vectors have been shown to capture the semantic characteristics of words and their context, and to overcome representations based on counting words. Semantic analysis will be performed by combining predictive representations using continuous vectors and uncertainty on denoising. This combination will be done by the rescoring component. All our models will be based on the powerful technologies of DNN. The performances of the various modules will be evaluated on artificially noisy speech signals and on real noisy data. At the end, a demonstrator, integrating all the modules, will be set up. Main activities ? study and implementation of a noisy speech enhancement module and a propagation of uncertainty module; ? design a semantic analysis module; ? design a module taking into account the semantic and uncertainty information. References [Nathwani et al., 2018] Nathwani, K., Vincent, E., and Illina, I. DNN uncertainty propagation using GMM-derived uncertainty features for noise robust ASR, IEEE Signal Processing Letters, 2018. [Nathwani et al., 2017] Nathwani, K., Vincent, E., and Illina, I. Consistent DNN uncertainty training and decoding for robust ASR, in Proc. IEEE Automatic Speech Recognition and Understanding Workshop, 2017. [Nugraha et al., 2016] Nugraha, A., Liutkus, A., Vincent E. Multichannel audio source separation with deep neural networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2016. [Sheikh et al., 2016] Sheikh, I. Illina, I. Fohr, D. Linares, G. Learning word importance with the neural bag-of-words model, in Proc. ACL Representation Learning for NLP (Repl4NLP) Workshop, Aug 2016. [Mikolov et al., 2013a] Mikolov, T. Chen, K., Corrado, G., and Dean, J. Efficient estimation of word representations in vector space, CoRR, vol. abs/1301.3781, 2013. From pel at gatsby.ucl.ac.uk Tue Feb 12 08:08:18 2019 From: pel at gatsby.ucl.ac.uk (Peter Latham) Date: Tue, 12 Feb 2019 13:08:18 +0000 (GMT) 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 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 rothkopf at fias.uni-frankfurt.de Tue Feb 12 16:35:57 2019 From: rothkopf at fias.uni-frankfurt.de (Constantin Rothkopf) Date: Tue, 12 Feb 2019 22:35:57 +0100 Subject: Connectionists: PhD position in DFG project: Active vision: control of eye-movements and probabilistic planning @TU Darmstadt Message-ID: <65de548c-d6cf-2f76-cee3-fe74d5241ae2@fias.uni-frankfurt.de> Applications are invited for a PhD student position in the lab of Constantin Rothkopf at the Technical University Darmstadt. The position is initially funded by the German Research Foundation DFG for three years. The project 'Active vision: control of eye-movements and probabilistic planning' aims to investigate how humans carry out eye-movements across different tasks and how this can be understood with models of probabilistic planning. Recent publications of the lab on this topic include the following papers: - Hoppe, D., & Rothkopf, C. A. (2016). Learning rational temporal eye movement strategies. Proceedings of the National Academy of Sciences, 113(29), 8332-8337. - Hoppe, D., & Rothkopf, C. A. (2019). Multi-step planning of eye movements in visual search. Scientific reports, 9(1), 144. Applicants need to have a Masters degree in cognitive science, computer science, psychology, or related fields. In addition to a strong general interest in cognitive science, computational science, experimental psychology, and interdisciplinary research, the ideal candidate has a background in probabilistic planning and eye-tracking. Analytical know-how, awareness of experimental literature, and experience with programming (preferably Python) are indispensable. We offer a supportive and multidisciplinary environment driven by scientific curiosity, lab facilities for measuring eye and body movements in extended behavior in-the-wild and in VR, and collaborations other researchers locally and internationally. The lab is part of? the Centre for Cognitive Science at TU Darmstadt. If you are interested, please send a CV, a brief (max. 2 pages) cover letter explaining your research interests, what you are looking for in a PhD, why you would like to study in the lab, your longer term career goals, and the names and contact details of 2-3 academic references? to constantin.rothkopf at cogsci.tu-darmstadt.de until February 28th 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 judith at mypajudith.com Tue Feb 12 10:08:35 2019 From: judith at mypajudith.com (MyPAJudith) Date: Tue, 12 Feb 2019 16:08:35 +0100 Subject: Connectionists: Job Opportunity: Postdoc position in Computational Neuroscience Lab, Imperial College London Message-ID: Postdoc position in Computational Neuroscience in the Clopath lab. ----------------------------------------------------- Computational Neuroscience Laboratory Headed by Dr. Claudia Clopath Department of Bioengineering Imperial College London -----------------Requirements:----------------- The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented Postdoc, interested in working in the field of computational neuroscience, specifically addressing questions of learning and memory. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), programing skills, and a keen interest in biological and neural systems. A PhD in the field of computational neuroscience is a plus. -----------------Research topic:----------------- Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The Postdoc candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in neural networks. ----------------- The lab:----------------------- The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/ ----------------- How to apply:----------------- Candidates should send a single pdf file, consisting of a 1-page motivation letter and CV (including publication list) to judith at mypajudith.com, with the subject containing 'Postdoc_Clopath_2019'. In addition, candidates should organize two letters of reference to be sent to clopathlab.imperial at gmail.com, with the subject containing 'Postdoc_Clopath_2018'. The deadline is Feb 26th 2019. Judith Keys VA Email: judith at mypajudith.com Linkedin: https://www.linkedin.com/in/judithkeys Working days: Tuesday, Wednesday, and Friday -------------- next part -------------- An HTML attachment was scrubbed... URL: From fh at cs.uni-freiburg.de Wed Feb 13 04:49:52 2019 From: fh at cs.uni-freiburg.de (Frank Hutter) Date: Wed, 13 Feb 2019 10:49:52 +0100 Subject: Connectionists: Two new attractive junior professorships in deep learning Message-ID: The University of Freiburg invites applications for two new junior professorships in deep learning, namely: *Junior Professorship (W1) for Representation Learning; * advertisement German: academics.de , English: IEEE Job site *Junior Professorship (W1) for Robot Learning; * advertisement German: academics.de , English: IEEE Job site You can expect an outstanding environment for your research activities with manifold opportunities for cooperation. Each of the two junior professorships is equipped with an attractive endowment of up to 150.000 Euro per year (on top of the W1 position). The application deadline is March 15th. For full details, please see: http://www.tf.uni-freiburg.de/en/faculty/professorial-appointments/two-new-attractive-ai-junior-professorships-in-the-faculty-of-engineering -------------- next part -------------- An HTML attachment was scrubbed... URL: From hava.siegelmann at gmail.com Wed Feb 13 05:14:53 2019 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Wed, 13 Feb 2019 05:14:53 -0500 Subject: Connectionists: DARPA's GARD: Guaranteeing AI's Robustness against Deception Message-ID: My friends and colleagues, Let me introduce GARD : Guaranteeing AI's Robustness against Deception < https://www.fbo.gov/index?s=opportunity&mode=form&id=be5dbc4deade0d60d52bcbd2e271c521&tab=core&_cview=1 > 26th of February (two weeks from now) - abstracts: not mandatory but recommended - an opportunity to the researcher to get feedback and to DARPA to get ready to the proposal 11th of March noon - last time to load proposal - my strong recommendation is to load by the 10th before midnight to avoid possible losses The program is 6.1, totally unclassified, no citizenship requirement And - note the topic is to defend AI from attacks, not to use AI to defend others. Please read thoroughly and you can contact me with questions too via gard at darpa.mil or hava.siegelmann at darpa.mil All the best - Hava Siegelmann PS: I am aware that it is hard to know about funding opportunities with DARPA. While the grants and contracts are larger than many of the other agencies, the BAA (call for proposals) is open for 45-60 days only and then the opportunity is gone - unlike other agencies with regular recurring dates. If you have ideas how to improve the system, please share it with me -------------- next part -------------- An HTML attachment was scrubbed... URL: From rod.rinkus at gmail.com Wed Feb 13 10:57:55 2019 From: rod.rinkus at gmail.com (Rod Rinkus) Date: Wed, 13 Feb 2019 10:57:55 -0500 Subject: Connectionists: Learned multidimensional indexes via sparse distributed representations Message-ID: Dear Connectionists, I posted a Medium article "Learned Multidimensional Indexes " that I believe will be of interest to this community. It explains how when items are represented as sets (i.e., entities which formally have extension) as opposed to representing them as points (as is the case for both localist representations and dense distributed representations, i.e., vectors of reals), the items can simultaneously be physically ordered on multiple uncorrelated underlying dimensions (latent variables). This allows immediate best-match retrieval (approximate nearest neighbors) on any of those uncorrelated, even completely anti-correlated, dimensions. The essential insight is that the pattern of intersections over the sets [e.g., sparse distributed representations (SDRs)] constitute "internal indexes", i.e., internal to the codes themselves, which can be learned directly from the data. Such internal indexes remove the need for the *external *indexes currently needed for conventional databases. I look forward to thoughts / comments from the community. Sincerely Rod Rinkus -- Gerard (Rod) Rinkus, PhD President and Chief Scientist rod at neurithmicsystems dot com Neurithmic Systems LLC Newton, MA 02465 617-997-6272 Visiting Scientist Volen Center for Complex Systems Brandeis University, Waltham, MA grinkus at brandeis dot edu http://people.brandeis.edu/~grinkus/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From auke.ijspeert at epfl.ch Wed Feb 13 13:54:05 2019 From: auke.ijspeert at epfl.ch (Auke Ijspeert) Date: Wed, 13 Feb 2019 19:54:05 +0100 Subject: Connectionists: Call for abstracts, AMAM 2019, Adaptive motion in animals and machines, Aug 20-23 2019, EPFL, Lausanne, Switzerland Message-ID: <730316b7-8480-9e69-febf-aae356686f4d@epfl.ch> AMAM 2019, Adaptive Motion in Animals and Machines, Aug 20-23 2019, EPFL, Lausanne, Switzerland https://amam2019.epfl.ch/ Call for abstracts, deadline March 8th, 2019 Investigating how animals and humans excel at adaptive movements can help engineers to improve the adaptive capabilities of robots. In return, robots can serve as scientific tools to explore the basic principles of biological systems, in particular the neuromechanical mechanisms underlying their fascinating motor abilities. AMAM 2019 is the 9th international symposium dedicated to stimulate fruitful interactions among biologists and engineers interested in adaptive motion. It aims at bringing together researchers in robotics, biomechanics, neuroscience, sports science, and other fields related to motor behavior in biological and artificial systems. Previous symposia were held in Montreal, Canada (2000); Kyoto, Japan (2003); Ilmenau, Germany (2005); Cleveland, USA (2008); Awaji, Japan (2011); Darmstadt, Germany (2013); Cambridge, USA (2015); and Sapporo, Japan (2017). Two-page abstract contributions are invited from all areas pertaining to adaptive motion in animals and machines. Accepted abstracts will be presented in poster sessions and short high-light presentations (3 slides, 2 min). Plenty of time will be dedicated for fruitful discussions among participants. Invited talks will be presented in oral sessions in a single track (see the exciting list of speakers below). We also encourage participants to contribute hardware demonstrations, as part of the ?Robot Zoo?@AMAM2019. See https://amam2019.epfl.ch/ for instructions. Important dates: * March 8th, 2019??? Deadline of extended abstracts submission * April 12th, 2019??? Notification of acceptance for extended abstracts * May 31st, 2019 ??? Deadline of submission for Robot Zoo (Robot Demos) * August 20-23, 2019? Conference Sponsors: Swiss National Science Foundation and Maxon https://www.maxonmotor.com Plenary speakers: * Gr?goire Courtine, EPFL, Switzerland * Monica Daley, Royal Veterinary College, UK * Dario Floreano, EPFL, Switzerland * Radhika Nagpal, Harvard University, USA * Lena Ting, Emory University & Georgia Institute of Technology, USA * Herman van der Kooij, University of Twente & Delft University of Technology, Netherlands Invited speakers: * Shinya Aoi, Kyoto University, Japan * David Franklin, Technische Universit?t M?nchen, Germany * John Hutchinson, Royal Veterinary College, UK * Tetsuya Iwasaki, University of California, Los Angeles, USA * Katsushi Kagaya, Kyoto University, Japan * Sangbae Kim, MIT, USA * Megan Leftwich, The George Washington University, USA * David Lentink, Stanford University, USA * Charlotte Le Mouel, Max Planck Institute for Intelligent Systems, Germany * Poramate Manoonpong, University of Southern Denmark, Denmark * Kamilo Melo, EPFL, Switzerland * Katja Mombaur, Heidelberg University, Germany * Beth Mortimer, University of Oxford, UK * Ulrike M?ller, California State University, Fresno, USA * Jamie Paik, EPFL, Switzerland * Pavan Ramdya, EPFL, Switzerland * Chris Richards, Royal Veterinary College, UK * Nidhi Seethapathi, University of Pennsylvania, USA * Simon Sponberg, Georgia Institute of Technology, USA * Emily Standen, University of Ottawa, Canada * Dagmar Sternad, Northeastern University, USA * Barbara Webb, University of Edinburgh, UK * Kotaro Yasui, Tohoku University, Japan Program Committee: * Hitoshi Aonuma, Hokkaido University, Japan * Jordan Boyle, Leeds University, UK * Monica Daley, Royal Veterinary College, UK * Koh Hosoda, Osaka University, Japan * Fumiya Iida, Cambridge, UK * Auke Ijspeert, EPFL, Lausanne, Switzerland * Akio Ishiguro, Tohoku University, Japan * Masato Ishikawa, Osaka University, Japan * Takeshi Kano, Tohoku University, Japan * Sangbae Kim, MIT, USA * Jun Nishii, Yamaguchi University, Japan * Dai Owaki, Tohoku University, Japan * Andre Seyfarth, TU Darmstadt, Germany * Emily Standen, University of Ottawa, Canada * Dagmar Sternad, Northeastern University, USA * Barry Trimmer, Tufts University, USA * Eric Tytell, Tufts University, USA * Hartmut Witte, TU Ilmenau, Germany Local organization committee: * Jonathan Arreguit * Alessandro Crespi * Florin Dzeladini * Peter Eckert * Sylvie Fiaux * Anne Koelewijn * Mehmet Mutlu * Laura P?ez * Amy Wu -- ----------------------------------------------------------------- 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 Albrecht_Zimmermann at gmx.net Wed Feb 13 11:38:31 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Wed, 13 Feb 2019 17:38:31 +0100 Subject: Connectionists: Reminder deadline EDML @ SDM 2019 Message-ID: An HTML attachment was scrubbed... URL: From gemmar at mit.edu Thu Feb 14 02:03:49 2019 From: gemmar at mit.edu (Gemma Roig) Date: Thu, 14 Feb 2019 07:03:49 +0000 Subject: Connectionists: Postdoctoral fellow for deep learning applied to 3D printing with biomaterials Message-ID: <2E46382E-63B9-4F8F-A53A-3F0D3790EB43@mit.edu> Dear community, We are excited to announce the postdoc job opening for a new project on developing deep learning models to predict and compensate biomaterial inconsistency in 2D printing. Start date is 1st of July 2019. Title: Postdoctoral fellow for deep learning applied to 3D printing with biomaterials Organisation and location: Singapore University of Technology and Design (SUTD), Singapore Description of the job: We are seeking a postdoctoral fellow to work on a research project related to deep learning models applied to biomaterial deformation predictions. The PIs of the project include Prof. Javier Fernandez, Prof. Stylianos Dritsas and Prof. Gemma Roig. The position is for one year extendable to 3 years. Key requirements for the position: - PhD in computer Science, applied mathematics or related fields. - Strong record of publication record in tier 1 conferences and journals - Strong knowledge in machine learning (deep learning, RNN, LSTMs) - Excellent programming skills in python, and extensive experience in tensorflow, pytorch or related libraries - Experience in 3D reconstruction and collecting 3D data, - Interest in biomaterials for 3D printing, - Knowledge of high performance distributed computing. Candidates with a hands on, proactive approach and problem-solving skills are strongly encouraged to apply. Application Instructions: Contact Dr. Gemma Roig, gemmar [at] mit [dot] edu. Include CV, 3 selected publications, grades and email address of at least 1 reference. Please include in the email subject: [SUTD postdoc]. Contact name and contact email: Gemma Roig: gemmar at mit.edu Best regards, Gemma -------------- 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 caspar.schwiedrzik at googlemail.com Thu Feb 14 03:19:51 2019 From: caspar.schwiedrzik at googlemail.com (Caspar M. Schwiedrzik) Date: Thu, 14 Feb 2019 09:19:51 +0100 Subject: Connectionists: Reminder: Postdoc in visual perceptual learning at German Primate Center, Goettingen, available In-Reply-To: References: Message-ID: The Deutsches Primatenzentrum GmbH ? Leibniz-Institut f?r Primatenforschung in G?ttingen is a primate research and competence center that does basic research. It concentrates on three main are- as named Organismic Primate Biology, Infections Research and Neurosciences. The DPZ maintains four field stations to do research on and with primates. Furthermore it is one of 95 research and infra- structure establishments of the Leibniz Association Part-time employment is possible. The Perception and Plasticity Group is looking for an excellent *Postdoctoral research associate* The Perception and Plasticity Group of Caspar Schwiedrzik at the German Primate Center (DPZ) in G?ttingen, Germany, is looking for an outstanding postdoc interested in studying the neural basis of perceptual learning in vision. The project investigates neural mechanisms of learning and perception at the level of circuits and single cells, utilizing functional magnetic resonance imaging (fMRI) in combination with electrophysiology and behavioral testing in humans and non-human primates. It is funded by an ERC Starting Grant (Acronym VarPL; ?Specificity or generalization? Neural mechanisms for perceptual learning with variability?). The postdoc?s project will focus on investigating the neural basis of perceptual learning in macaque monkeys combining fMRI, multi-electrode electrophysiological recordings and electrical microstimulation. In addition, the postdoc will have the opportunity to cooperate with other lab members on parallel, comparative research exploring the same questions in humans. We seek to understand the cortical basis and computational principles of perception and experience- dependent plasticity in the macaque and human brain. To this end, we use a multimodal approach including fMRI-guided electrophysiological recordings in non-human primates and fMRI and ECoG in humans. The postdoc will play a key role in our research efforts in this area. The lab is located at the DPZ (*http://www.dpz.eu *) and the ENI-G (*http://www.eni-g.de *), which are interdisciplinary research centers with international faculty and students pursuing cutting-edge research in neuroscience. The postdoc will have access to a new imaging center with a dedicated 3T research scanner, state-of-the- art electrophysiology, and behavioral setups. For an overview of our work and representative publications, please see our website *http://www.eni-g.de/groups/neural-circuits-and-cognition. * The position will be available starting in February 2019 with an initial appointment for 2 years. Extensions beyond 2 years are possible. Candidates should have a PhD degree (or equivalent) in a relevant field (e.g., neuroscience, psychology, biology), and prior experience, evidenced by a publication or preprint, in electrophysiology in non-human primates, strong quantitative, programming, and experimental skills, and share a passion for understanding the neural basis of visual perception and its plasticity. Prior experience with microstimulation is a plus. A good command of English is a requirement, but fluency in German is not essential. We especially encourage women to apply. Interested candidates should send in their curriculum vitae, a description of their scientific interest, a representative publication, a copy of their PhD degree, and the names and contact information of up to three references who are able to comment on your academic background and who have agreed to be contacted. The appointment at the DPZ follows the applied regulations of civil service. The classification follows the TV-L. Disabled applicants with equal qualification will be given preferential consideration. We kindly ask you to indicate in your application if you are disabled. Please send in your written application including all certificates until the 20th of February, 2019 under key word ?Postdoc Perception and Plasticity? to Deutsches Primatenzentrum GmbH ? Leibniz Institut f?r Primatenforschung ? Personnel Office ? Kellnerweg 4 ? 37077 G?ttingen or via mail to *bewer**bung at dpz.eu. * For further information please contact Dr. Schwiedrzik, *cschwiedrzik at dpz.eu, *phone: +49 (0)551-39-61371 or see *http://www.dpz.eu. * Further information about the Leibniz Society is available at http://www.leibniz-gemeinschaft.de. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dboscaini at fbk.eu Thu Feb 14 04:29:29 2019 From: dboscaini at fbk.eu (Davide Boscaini) Date: Thu, 14 Feb 2019 10:29:29 +0100 Subject: Connectionists: ICIAP 2019 - Call for Papers Message-ID: ICIAP 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 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 * Notification of acceptance: 7th June 2019 * Camera ready submission: 21st June 2019 * Workshop/tutorial proposal submission: 1st April 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. ICIAP 2019 - Call for Workshops We invite you to submit proposals for new and recurring workshops that will be held in conjunction to the 20th ICIAP main conference. The conference will host 2-3 one-day workshops (or some more half-day workshops) on the 9-10th September. We accept proposals on any emerging or classic topics related to the broad set of research and application areas covered by the ICIAP conference. The goal of the ICIAP workshops is to publish early results in emerging areas, or discussing highly focused and recent topics in image processing and pattern recognition. Returning workshops are allowed. Papers accepted at the workshops will be published on Springer Lecture Notes in Computer Science (LNCS). Dates: * Proposal submission deadline: 1st April 2019 Workshop proposal evaluation notification: workshop proposals will be selected on a first-come-first-served basis and considering the quality of the proposal. Notification will be given in about 20 days from the submission of the proposal. Submission: Email proposals in PDF to the workshop chairs Marco Cristani ( marco.cristani at univr.it) and Andrea Prati (andrea.prati at unipr.it). The e-mail must have the subject "ICIAP Workshop submission". The workshop proposal should contain at least the following information: * Workshop Title * Names and affiliations of main organizers and primary contact email. Internationality of the organizing committee is preferred. * Motivation and rationale for the workshop. * A draft Call For Papers (CFP), as complete as possible. * The workshop deadlines (see below for the constraints and suggestions on the deadlines). * A tentative composition of the committees (as complete as possible). Please indicate whether prospective TPC members have been contacted, and whether they have accepted the invitation. We strongly discourage speculative TPC listings and we encourage international TPCs. * Invited speakers. Please indicate whether prospective invited speakers have been contacted, and whether they have accepted the invitation. Having strong invited speakers will boost the probability of getting the workshop accepted. * Workshop format, i.e., expected number of presented papers, invited talks, panels, demonstrations, rough program outline, etc.. * Expected number of participants and the expected number of submissions. * Prior history of this workshop, if any, including number of submissions, number of accepted papers, and attendee count. * Similar workshops in the community, with similarities/dissimilarities of your proposal. * Any special space or equipment requests. Please do not hesitate to contact the workshop chairs Marco Cristani ( marco.cristani at univr.it) and Andrea Prati (andrea.prati at unipr.it) in case you have questions. ICIAP 2019 - Call for Tutorials ICIAP 2019 is soliciting proposals for half-day (3-4 hours) tutorials to be held on 9-10th September, in conjunction with the main event. The conference will hold 2 half-day tutorials. We invite you to submit tutorial proposals on any themes related to the broad set of research and application areas covered by the ICIAP conference. In particular ICIAP welcomes tutorials regarding emerging methods and techniques in: * 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 courses should provide an educational understanding of the methodologies involved rather than being a description of methods/papers in the state of the art. Dates: * Proposal submission deadline: 1st April 2019 The tutorial proposals will be evaluated regarding the information provided and quality criteria related to the fit of the proposal given the conference topics, the timelines and relevance of the topics, the experience of the presenters and the organisation of the syllabus. Proposals will be selected on a first-come-first-served basis. Notification will be given in about 15 days from the submission of the proposal. Submission: Please send your proposal in PDF by e-mail to the tutorial chairs Costantino Grana (costantino.grana at unimore.it) and Lamberto Ballan ( lamberto.ballan at unipd.it). The e-mail must have the subject "ICIAP Tutorial submission". The proposal should provide at least the following information: * Tutorial title and short abstract. * Short bio of the presenters with affiliations and their relevant publications related to the tutorial topics. * Motivation and expected audience of the tutorial. * If available, prior history of this tutorial including number of attendees. * List of previous presented tutorial on the same theme with a description of similarities and dissimilarities with respect to your proposal. * Tentative Syllabus with a breakdown of the topics. * If material will be provided to the attendees before the tutorial (slides, code, etc.) and if any special requirement is necessary. Please do not hesitate to contact the tutorial chairs Costantino Grana ( costantino.grana at unimore.it) and Lamberto Ballan (lamberto.ballan at unipd.it) in case you have questions. ICIAP 2019 - Call for Special Sessions ICIAP 2019 will host a small number of special sessions that will be focused either on novel methodological issues or on emerging application scenarios. Special session proposals should clearly point out the topic of the session, and the process used to select the papers. The proposal of a "methodological" special session should solicit papers that provide the audience with novel ideas and frameworks that are expected to have a significant impact in the near future. The proposal of an "application" special session should comprise the selection of a number of papers focused on solutions for emerging application scenarios. Dates: * Proposal submission deadline: 1st March 2019 * Notification: 8th March 2019 The selection process should be managed by the organizers of the special session so that the deadline for the submission of the camera ready is the same as the one of the main conference. Submission: Please submit proposals to the ICIAP 2019 Special Sessions co-chairs Marco Bertini (marco.bertini at unifi.it) and Tatiana Tommasi (tatiana.tommasi at iit.it) and contact them if you have any question. -- -- 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 inesdomingues at gmail.com Thu Feb 14 04:50:53 2019 From: inesdomingues at gmail.com (=?UTF-8?Q?In=C3=AAs_Domingues?=) Date: Thu, 14 Feb 2019 09:50:53 +0000 Subject: Connectionists: VISUM 2019 Summer School :: Call for Participation! 2 ECTS + Industry Day Challenge + Project Competition In-Reply-To: References: <3e0e8f97-290b-544d-5304-6862dcf8f099@inesctec.pt> Message-ID: Call for Participation The seventh edition of the Vision Understanding and Machine Intelligence (VISUM) Summer School will take place between 4 and 12, July 2019, at Universidade Portucalense (UPT), in Porto - Portugal. This year the following topics will be covered: 1. Computer Vision & Machine Learning Basics 2. Computer Vision with Deep Learning 3. Interpretability 4. Deep Generative Models 5. Reinforcement Learning 6. Constraint Programming and Decision Optimization World-renowned experts in the fields will deliver the courses, and the material covered will guide you in building your own AI system as a curricular project. Participants can request 2 ECTS given by UPT! Aside from the theoretical relevance of the topics covered, and the experience of building a practical AI application, the school aims to provide a stimulating opportunity for students, young researchers and professionals with interests in Computer Vision and Machine Learning. The participants will benefit from direct interaction with representatives from the most relevant industries in the field, as well as top academics. Prizes 1. For the winning team of the Project 2. For the winning team who solve the challenges of the Industry Day Application deadline: 22 March 2019 Please send an email to visum at inesctec.pt to be eligible to apply to the VISUM summer school 2019 Intended audience In general, people that have been exposed to introductory topics of Computer Vision and Machine Learning will find this to be an excellent opportunity to grow their knowledge base. The target audience is therefore: 1. MSc and PhD students 2. Researchers and Post-doctoral scholars 3. Industry professionals Social Program: Porto is an eclectic city. Benefiting from low-cost flights, thousands of tourists visit each year. You?ll get a chance to see why so many people are attracted by the city. Well known by its cellars, resting place for the famous wine, Porto as a lot to offer. In the social day (Sunday), we?ll tour the city and check some of its coolest spots. List of invited speakers: Jose Costa Pereira, Huawei Technologies Co., Ltd, UK Efstratios Gavves, UVA, NL Mauricio Reyes, University of Bern, CH Dinesh Jayaraman, UC Berkeley, USA Mohamed Elhoseiny, KAUST, SA Deepak Mehta, United Technologies Research Cente, Irland Industry panel: Bosch, PT Abyssal, PT NILG.AI, PT NOTE: the completed list of speakers and industrial panel will be revealed soon! Parternship: We encourage students to participant in Future Computing Summer School (https://futurecomp.uptec.up.pt/) for an incredible talk of NVIDIA about parallel computing. Website visum.inesctec.pt From mary.heinrich at uni-luebeck.de Thu Feb 14 05:56:45 2019 From: mary.heinrich at uni-luebeck.de (Mary Katherine Heinrich) Date: Thu, 14 Feb 2019 10:56:45 +0000 Subject: Connectionists: 2nd CfP SOCO 2019 - 3rd Int. Workshop on Self-Organised Construction, IEEE FAS* Message-ID: <9339CD7B344B0E448B3062317062228C36ECFDB8@DAG01.uni-luebeck.de> Are you working on construction or self-assembly, for example, with robots, cyber-physical systems, agents, or social insects? The SOCO workshop gathers short papers focusing on self-organizing strategies to build architecture and structures. Apologies for any cross-postings. 3rd International Workshop on Self-Organised Construction (SOCO) (Int. Workshops on Foundations and Applications of Self-* Systems of the SASO and ICAC conferences, FAS*) Umea, Sweden, June 17, 2019 http://www.selforganisedconstruction.org http://saso2019.cs.umu.se/workshops-and-tutorials/ - Important Deadlines - ? Submission deadline: March 3, 2019 ? Acceptance notification: April 1, 2019 - Summary - SOCO is on self-organised construction and we want to cumulate, present, discuss, and advance new research results from theory and practice as well as novel scientific concepts and methodologies. Originally inspired by nest construction in social insects, the general concept relies on a large number of agents that coordinate their construction efforts by prompting and reacting to local stimuli. Recently, with the wake of robotic swarms and novel material processing approaches, including for instance 3D printing techniques and innovative deployment of carbon fibres, self-organising construction is quickly gaining tremendous transformative significance in the context of various design and construction processes. These include also the construction, extension, and renovation of architectural buildings, engineering design, industrial assembly, and landscape architecture. Our focus is on the design and management of self-organising construction from a computational perspective. - Special Interests - ? Self-organising biologically inspired construction models ? Analysis and design of coordinating construction algorithms ? Agent-based simulations of building usage ? Self-organising robot groups and swarms for construction ? Computational metrics for evaluating complex structures (e.g., complexity, energy efficiency, structural integrity of buildings) ? Parameterisation, evaluation, optimisation of artefact utilisation and purpose ? Decentralised supply chains of construction materials ? Internet of Things (IoT) technologies for self-organised construction and maintenance ? 3D printing technologies for self-organised construction ? Applications in architectural design, building engineering, landscaping, industrial design, engineering and manufacture and swarm robotics ? Interfaces for human inspection and control of self-organising construction systems ? Modelling and simulation techniques, tools and platforms for self-organising construction - Submissions - Submitted papers of up to six pages will be evaluated in a single-blind reviewing process by the workshop committee members. Accepted papers will be submitted for publication to the FAS* workshop proceedings through IEEE. All papers need to follow the IEEE DL format of the SASO conference and follow the IEEE Computer Society Press proceedings style guide. Please submit your paper through EasyChair: https://easychair.org/conferences/?conf=soco20190 We are looking for contributions that present novel theoretical or experimental results, novel design patterns, mechanisms, system architectures, frameworks or tools, or practical approaches and experiences in building or deploying real-world systems and applications. We ask the authors to ensure that their submissions comply with the high standards in ingenuity and quality as expected by the SASO conference in general. The workshop on Self-organising Construction (SOCO) is one of the International Workshops on Foundations and Applications of Self-* Systems (FAS*) held in the context of the IEEE International Conferences on Self-Adaptive and Self-Organising systems (SASO) and on Cloud and Autonomic Computing (ICAC). - Organisors - ? Sebastian von Mammen, University of Wuerzburg ? Heiko Hamann, University of Luebeck ? Mary Katherine Heinrich, University of Luebeck - Programme Committee (confirmed as of 11.12.18) - * Phil Ayres * Peter Bentley * Marco Dorigo * Ren? Doursat * Ilaria Mazzoleni * Achim Menges * Nils Napp * Kirstin Petersen * Hiroki Sayama * Kasper Stoy * Joshua Taron * Justin Werfel * Ales Zamuda We are looking forward to your submissions! Sebastian, Heiko and Mary Katherine -------------- next part -------------- An HTML attachment was scrubbed... URL: From Herve.Frezza-Buet at centralesupelec.fr Thu Feb 14 07:42:49 2019 From: Herve.Frezza-Buet at centralesupelec.fr (=?UTF-8?Q?Herv=c3=a9_Frezza-Buet?=) Date: Thu, 14 Feb 2019 13:42:49 +0100 Subject: Connectionists: =?utf-8?q?Position_at_CentraleSup=C3=A9lec_=28Met?= =?utf-8?q?z=2C_France=29?= Message-ID: /For an English version, go to the bottom of this message.// / L'?cole d'ing?nieurs CentraleSupelec recrute sur son campus de Metz un(e) enseignant(e)-chercheur(se) avec un profil "/Machine Learning / Science des donn?es/". * Descriptif du poste :* - Le/la candidat(e) retenu(e) sera embauch?(e) en tant que ma?tre(sse) de conf?rences contractuel selon un contrat ? dur?e ind?termin?e (CDI). - Il/elle rejoindra l'?quipe d'enseignants du campus de Metz pour intervenir en particulier dans la sp?cialisation de 3?me ann?e d'?cole d'ing?nieur (niveau M2) intitul?e "Science des donn?es et de l'information" (SDI). - Il/elle sera impliqu?(e) dans l'enseignement magistral comme pratique, y compris dans l'encadrement de projets ?tudiants r?alis?s avec des entreprises ou des partenaires acad?miques. - Il/elle sera rattach?(e) au laboratoire du LORIA de Nancy mais disposera d'un bureau au sein de son antenne r?cemment cr??e ? Metz dans les locaux de CentraleSup?lec. - Il/elle rejoindra une ?quipe du LORIA en lien avec sa sp?cialit?, de pr?f?rence parmi celles d?j? repr?sent?es au sein de l'antenne de Metz du LORIA (?quipes Biscuit, Multispeech, Orpailleur et Simbiot). *Profil recherch? :* Le profil de comp?tences id?al est un profil mixte math/info avec d'une part de bonnes connaissances en statistiques et en machine learning et d'autre part une r?elle pratique de l'informatique et de la programmation. Id?alement il devra s'inscrire dans un? des th?mes de recherche actifs du machine learning, notamment : * Le deep learning et ses applications * L'apprentissage par renforcement et ses applications (robotique, etc) * Les mod?les probabilistes du machine learning et ses applications (NLP, signaux et images, etc) * Les th?ories de l'apprentissage statistique * Le traitement statistique du langage naturel * L'application du machine learning aux signaux, sons ou images * Les applications du Machine Learning ? l'analyse du Web et des grands r?seaux (r?seaux sociaux, biologie, etc) *Contacts :** ** Pour le volet enseignement, les responsables de la mention SDI : Herv? Frezza-Buet (herve.frezza-buet at centralesupelec.fr) et Fr?d?ric Pennerath (frederic.pennerath at centralesupelec.fr) * Pour le volet recherche, le responsable de l'?quipe du LORIA envisag?e. *D?marche ? suivre:* Les d?tails de la proc?dure de candidature sont pr?cis?s dans la fiche de poste consultable ? : http://www.centralesupelec.fr/sites/default/files/profil_mcf_contractuel_datasciencemathematicsv2.pdf Attention, les candidatures doivent imp?rativement ?tre d?pos?es au plus tard le *vendredi**29 mars 2019*. ------------------------------------------------------------------------ *English version:** * The engineering school CentraleSupelec opens on its Metz campus a new position of associate professor with a "/Machine Learning/Data Science/" profile. *Job description:* - The successful candidate will be hired as a "ma?tre de conf?rence contractuel", i.e. a permanent full-time position of associate professor. - S/he will join the team of teachers on the Metz campus. In particular he/she will be implied in the last year specialization program (master level) entitled "Data Science and Information" (SDI). - S/he will be involved in both lectures and laboratory works, including supervision of student projects with companies or academic partners. - S/he will be member of LORIA laboratory in Nancy but will have an office within the newly created Metz branch office in the premises of CentraleSup?lec. - S/he will join one of the LORIA teams in connection with his/her research topic, preferably among those already represented in the Metz branch of LORIA (Biscuit, Multispeech, Orpailleur and Simbiot teams). *Required profile:* The sought profile is a mixed mathematics/computer science profile with a good knowledge of statistics and machine learning and also a real practice of Computer Science and programming. Ideally, he/she should be specialized on one of the active research themes in Machine Learning, in particular: * Deep learning and its applications * Reinforcement learning and its applications (robotics, etc.) * Probabilistic models of machine learning and its applications (NLP, signals and images, etc.) * Statistical learning theory * Statistical natural language processing* ** Machine learning applied to signals, sounds and images * Machine Learning applied to Web and network analysis (social networks, biology, etc) * **Contacts:* * For questions related to teaching, please contact people in charge of the SDI's teaching program: Herv? Frezza-Buet (herve.frezza-buet at centralesupelec.fr) and Fr?d?ric Pennerath (frederic.pennerath at centralesupelec.fr) * For questions related to research, please contact the head of the targeted LORIA team. *Steps to follow:* The details of the application procedure are specified in the job description available at: http://www.centralesupelec.fr/sites/default/files/profil_mcf_contractuel_datasciencemathematicsv2.pdf Please note, applications must be submitted by *Friday**, March 29, 2019*. -------------- next part -------------- An HTML attachment was scrubbed... URL: From barros at informatik.uni-hamburg.de Thu Feb 14 06:30:56 2019 From: barros at informatik.uni-hamburg.de (Pablo Barros) Date: Thu, 14 Feb 2019 12:30:56 +0100 Subject: Connectionists: Call For Chapters and dataset release! | Neural and Machine Learning for Emotion and Empathy Recognition: Experiences from the OMG-Challenges by Springer Message-ID: Dear Colleagues, We would like to invite you to contribute a chapter for the upcoming volume entitled ?Neural and Machine Learning for Emotion and Empathy Recognition: Experiences from the OMG-Challenges? to be published by the Springer Series on Competitions in Machine Learning. Our book will be available by the end of 2019. Website: https://easychair.org/cfp/OMGBook2019 Follows a short description of our volume: Emotional expression perception and categorization are extremely popular in the affective computing community. However, the inclusion of emotions in the decision-making process of an agent is not considered in most of the research in this field. To treat emotion expressions as the final goal, although necessary, reduces the usability of such solutions in more complex scenarios. To create a general affective model to be used as a modulator for learning different cognitive tasks, such as modeling intrinsic motivation, creativity, dialog processing, grounded learning, and human-level communication, instantaneous emotion perception cannot be the pivotal focus. This book aims to present recent contributions for multimodal emotion recognition and empathy prediction which take into consideration the long-term development of affective concepts. On this regard, we provide access to two datasets: the OMG-Emotion Behavior Recognition and OMG-Empathy Prediction datasets. These datasets were designed, collected and formalized to be used on the OMG-Emotion Recognition Challenge and the OMG-Empathy Prediction challenge, respectively. All the participants of our challenges are invited to submit their contribution to our book. We also invite interested authors to use our datasets on the development of inspiring and innovative research on affective computing. By formatting these solutions and editing this book, we hope to inspire further research in affective and cognitive computing over longer timescales. TOPICS OF INTEREST The topics of interest for this call for chapters include, but are not limited to: - New theories and findings on continuous emotion recognition - Multi- and Cross-modal emotion perception and interpretation - Novel neural network models for affective processing - Lifelong affect analysis, perception, and interpretation - New neuroscientific and psychological findings on continuous emotion representation - Embodied artificial agents for empathy and emotion appraisal - Machine learning for affect-driven interventions - Socially intelligent human-robot interaction - Personalized systems for human affect recognition - New theories and findings on empathy modeling - Multimodal processing of empathetic and social signals - Novel neural network models for empathy understanding - Lifelong models for empathetic interactions - Empathetic Human-Robot-Interaction Scenarios - New neuroscientific and psychological findings on empathy representation - Multi-agent communication for empathetic interactions - Empathy as a decision-making modulator - Personalized systems for empathy prediction Each contributed chapter is expected to present a novel research study, a comparative study, or a survey of the literature. We also expect that each contributed chapter approach somehow at least one of our datasets: the OMG-Emotion and the OMG-Empathy. SUBMISSIONS All submissions should be done via EasyChair: https://easychair.org/cfp/OMGBook2019 Original artwork and a signed copyright release form will be required for all accepted chapters. For author instructions, please visit: https://www.springer.com/us/authors-editors/book-authors-editors/resources-guidelines/book-manuscript-guidelines We would also like to announce that our two datasets, related to emotion expressions and empathy prediction, are now fully available. You can have access to them and obtain more information by visiting their website: - OMG-EMOTION - https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/omg_emotion.html - OMG-EMPATHY - https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/omg_empathy.html If you wand more information, please do not hesitate to contact me: barros at informatik.uni-hamburg.de IMPORTANT DATES: - Submission of abstracts: 29th of March 2019 - Submissions of full-length chapters: 29th of March 2019 - Notification of final editorial decisions 31st of May 2019 - Submission of revised chapters: 08th of July, 2019 -- Dr. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.dehttp://www.pablobarros.nethttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.htmlhttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dayan at tue.mpg.de Thu Feb 14 08:56:00 2019 From: dayan at tue.mpg.de (Peter Dayan) Date: Thu, 14 Feb 2019 14:56:00 +0100 Subject: Connectionists: postdoc positions with Peter Dayan Message-ID: <20190214135600.GA9789@tuebingen.mpg.de> From: Peter Dayan I recently moved my lab to the Max Planck Institute for Biological Cybernetics in Tuebingen. I am therefore recruiting one or more postdocs working in the areas of neural reinforcement learning and computational psychiatry. I am seeking postdocs working in neuromodulation, meta-control, neuroimaging and behavioural experiments and analysis, and all areas of dysfunctional decision-making. I am going to be attending COSYNE 2019 - so would be very happy to meet there. The aim of the MPI for Biological Cybernetics as a whole is to understand information processing in the brains of humans and animals. We use experimental, theoretical and computational methods to elucidate the characteristics and implementations of the cascades of plastic and recurrent interactions that transform sensory data into perceptions, memories, appropriate choices of actions, and motor output. We are richly multidisciplinary, have excellent facilities, and are building close links with neighbouring Max Planck Institutes and the University of Tuebingen that cover systems neuroscience, machine learning, and beyond. The working language of the Institute is English. Remuneration will depend on experience. The position will be for two years. Applications should include a CV, a list of publications, summaries of scientific achievements and research plans, and the names and contact details of three referees. Applications should be sent in PDF format no later than 16th December 2018 to: kyb-application at tuebingen.mpg.de My lab, the Institute and the Max Planck Society strive for gender and diversity equality. We welcome applications from people from all backgrounds. Informal inquiries can be addressed to Peter Dayan: kyb-inquiry at tuebingen.mpg.de From francisco.pereira at gmail.com Thu Feb 14 19:15:32 2019 From: francisco.pereira at gmail.com (Francisco Pereira) Date: Thu, 14 Feb 2019 19:15:32 -0500 Subject: Connectionists: position: machine learning research scientist at NIMH Message-ID: The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the lead federal agency for research on mental disorders, and part of the the National Institutes of Health (NIH). Our mission is to help NIMH scientists use machine learning methods to address a diverse set of research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We also develop new machine learning methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), and in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. We have excellent computational resources, both of our own (tens of GPUs for deep learning) and shared within the NIH (a top-100 supercomputer with hundreds of thousands of CPUs, and hundreds of GPUs). You can find more about our work and publications at https://cmn.nimh.nih.gov/mlt.html. This is an ideal position for someone who wants to establish a research career in methods development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large/unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests. We are seeking candidates with practical machine learning experience (e.g. training of classification and regression models, statistical testing of results, interpretation and visualization of key aspects of models). Beyond this, the ideal candidate would have knowledge of optimization and statistics, insofar as they bear on machine learning methods development. Experience working with neuroimaging data (any MRI modality, as well as MEG/EEG) will be considered very favorably, but is not required. Finally, you should have demonstrable experience coding in languages currently used in data-intensive, scientific computing such as Python, MATLAB or R. If you would like to be considered for this position, please send francisco.pereira at nih.gov a CV, with your email as cover letter; if you have a research statement, please feel free to send that as well. Other inquiries are also welcome. Thank you for your interest! -------------- next part -------------- An HTML attachment was scrubbed... URL: From dkatsar at inf.uth.gr Fri Feb 15 05:13:37 2019 From: dkatsar at inf.uth.gr (KATSAROS Dimitrios) Date: Fri, 15 Feb 2019 12:13:37 +0200 Subject: Connectionists: Call for Workshops - IEEE/WIC/ACM Web Intelligence conf 2019 Message-ID: <5C6690D1.9070106@inf.uth.gr> CALL FOR WORKSHOP/SPECIAL-SESSION PROPOSALS Web Intelligence 2019 18th IEEE/WIC/ACM International Conference on Web Intelligence Thessaloniki, Greece, 14th - 17th October 2019 https://webintelligence2019.com/ DEADLINE: MARCH 5, 2019 You are invited to submit a workshop/special-session proposal as part of the WI ?19 conference ABOUT WI ?19 WORKSHOPS ---------------------------------------- The 18th Web Intelligence conference (WI?19) will be held in Thessaloniki (Greece) during 14th to 17th of October. Its organizing committee invites proposals for workshops/special sessions to be held in conjunction with the conference. The goals of the workshops are to explore emerging research topics and to provide a forum for authors to present early research results on these topics. We would like to have a number of workshops, with a high quality program dominated by contributed papers. We expect that workshops will run a rigorous review process, to make sure programs will be of high-quality. Organizers may structure workshops/tutorials as they see fit, possibly including invited talks, panel discussions, presentations of work in progress, peer-reviewed papers, demonstrations, or some combination. WI ?19 WORKSHOP CO-CHAIRS --------------------------------------------- Dimitrios Katsaros, ECE, University of Thessaly, Greece (dkatsar at e-ce.uth.gr) Rahul Pandey, IST, George Mason University, USA (rpandey4 at gmu.edu) TOPICS OF INTEREST ------------------------------- * the topic falls in the general scope of Web Intelligence 2019 * As the theme for this year?s conference is ?Web Intelligence = AI in the Connected World?, workshops/special-sessions under this theme is encouraged * there is a clear focus on a specific technology, problem or application * there should be a greater impact to the society In particular, we encourage the submission of workshop/special-session proposals on: * Fairness in Web * Deep Learning/ML in the Web * Web for Social Good * Web for Smart cities * Web in/for IoT * Misinformation handling in the Web * Recommendation Systems for the Web * Big Data on the Web * User behavior modeling in the Web * NLP in the Web * Mobile data mining in the Web * Social intelligence * Web/text mining IMPORTANT DATES ----------------------------- Workshop/Special-Session Proposal Submission Deadline 5th March, 2019 Workshop/Special-Session Proposal Notification of Acceptance 25th March, 2019 All Workshops/Special-Sessions Day 14th October, 2019 SUBMISSION INSTRUCTION ---------------------------------------- The workshop proposal, in PDF, should provide the following information, in the following format: HEADING: 1. Title of the workshop/special-session and acronym 2. Proposed duration (half-day or full-day) 3. Workshop (co-)chair(s) name, affiliation. mailing address, and e-mail address 4. Short CV of (co-)chair(s) including past experience in organizing workshops and/or related events INTRODUCTION: 1. Abstract: One paragraph describing the workshop/special-session purpose (max. 200 words) 2. Scope and topics of the workshop RATIONALE: 1. Motivation and rationale 1. Why the workshop is related to WI 2019; 2. Why the topic is timely and important; 3. Why the workshop may attract a significant number of submissions of good quality; 4. Why the workshop may attract a large number of attendees, in addition to the authors; 5. Why the workshop differs from others; 6. Related workshops and conferences of similar topics; WORKSHOP DETAILS: 1. Tentative committee lists (organizers, program committee, etc.) 2. Expected number of participants and the expected number of submissions 3. A short list of potential authors that are expected to submit papers to the workshop 4. A draft call for papers (max 1 page) 5. A description of the publicity and promotion plan 6. Workshop tentative internal and external schedule (expect adjustments by the workshops chairs to align all workshop schedules) 1. Submission deadline; 2. Review deadline; 3. Acceptance deadline; 4. Camera ready; 5. Program ready; 1. Workshop format planned (keynote, expected number of presented papers, invited talks, panels, demonstrations, etc.) Please send a whole copy of your proposal in PDF format to workshop co-chairs with subject "Submission of WI 2019 workshop proposal: XXX", where XXX should be replaced by the acronym of your workshop REVIEW PROCESS ------------------------- The decision about acceptance or rejection of workshop proposals will be made by the Workshop co-Chairs in consultation with the General and Program Committee Chairs, taking into account several factors including overall quality, the topic fit with respect to The Web Intelligence Conference 2019, the coverage of the topic in other tracks of the conference, the estimated number of attendees for the workshop, etc. ORGANIZATION DUTIES ---------------------------------- * Announce the calls for papers * Create and maintain the workshop/special-session website * Publicize workshop/special-session in the relevant communities * Create the Program Committee * Conduct the review process * Schedule the workshop/special-session program REGISTRATION ---------------------- Workshop/special session paper registration fees are the same as regular conference fees. All registered participants are entitled to attend all keynotes, sessions, workshops, panels, tutorials and social events. PUBLICATION --------------------- Full day workshops should have 10-14 regular papers (max 8 pages), while half day should have 5-7 regular papers. On the other hand, special-session should have 4-6 regular papers. The papers must be submitted electronically via Cyberchair in standard ACM Conference Proceedings format (max 8 pages). The workshop?s organizers will have the responsibility to ensure the presence of authors of the accepted papers at the workshops. ========================================================================== [Our apologies should you receive this message more than once] ========================================================================== From bogdanlapi at gmail.com Thu Feb 14 17:10:12 2019 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Fri, 15 Feb 2019 00:10:12 +0200 Subject: Connectionists: 3rd Call-for-Papers: SI on Looking At People: Analyzing Human Behavior from Social Media Data @ International Journal of Computer Vision Message-ID: [Apologies for multiple postings] Special Issue on "Looking At People: Analyzing Human Behavior from Social Media Data" International Journal of Computer Vision https://www.springer.com/computer?SGWID=0-146-6-1390546-0 *** CALL FOR PAPERS *** Although great advances have been obtained in the "Looking at People" field, it is only recently that attention has focused on problems connected to more complex and subconscious behavior. For instance, personality and social behavior are only starting to be explored from the computer vision and multimedia information processing perspectives. This is often due to a lack of data and benchmarks to evaluate these type of tasks. Nevertheless, the availability of massive amounts of multimodal information together with the dominance of social networks as a fundamental channel where users interact, have attracted the interest of the community in this direction of research. Tools for effectively analyzing these sort of behaviors have a major impact into everyone's life, with applications in health (e.g., support for mental disorders), security (e.g., forensics, preventive applications), human computer/machine/robot interaction (e.g., affective/interactive interfaces) and even entertainment (e.g., user-tailored systems). This special issue focuses in all aspects of computer vision and pattern recognition devoted to the automatic analysis of human behavior in social media from visual and multimodal information. The focus is on the analysis of human behavior that is not visually obvious, i.e., unconscious behavior and situations in which the sole visual analysis is insufficient to provide a satisfactory solution. Submissions in other aspects of looking at people may be considered as well. Prospective articles should make fundamental or practical contributions to the field. Topics of interest include (but are not limited to): - Human behavior analysis from visual and multimodal information, with emphasis on unconscious behaviors, including, but not limited to: personality analysis, deception detection, social behavior analysis - All aspects of human behavior analysis in the context of social networks using multimodal information, including, but not limited to: gesture/action, emotion recognition, personality analysis and human-computer interaction - Personality analysis and deception detection from multimodal information, including textual, visual, and audible information - Information retrieval, categorization and clustering of social networks data, including images, text, and videos for the analysis of human behavior - Analysis of human intention from social networks data involving multimodal information - New tasks, data sets and benchmarks on human behavior analysis from multimodal information - Multimodal machine learning, deep learning, active learning, and transfer learning for human behavior analysis in social media - Multimodal zero-shot learning, and unsupervised learning for the analysis of unconscious human behaviors - Crowdsourcing, community contributions, and social multimedia - Information fusion for the analysis of human behavior in the context of social networks - Large-scale and web-scale multimodal analysis of social media - Explainability and fairness in multimodal AI systems for human behavior analysis - Applications of unconscious behavior analysis methods, e.g., medicine, sports, commerce, lifelogs, travel, security, environment. *** Submission guidelines *** All the papers should be full journal length submissions and follow the guidelines set out by International Journal of Computer Vision: https://link.springer.com/journal/11263 Manuscripts should be submitted online at: https://www.editorialmanager.com/visi/ choosing "S.I. : Analyzing Human Behavior from Social Media Data" as article type. When uploading your paper, please ensure that your manuscript is marked as being for this special issue. Information about the manuscript (title, full list of authors, corresponding author's contact, abstract, and keywords) should be also sent to the corresponding editors (see information below). Submitted papers should present original, unpublished work, relevant to at least one of the topics of the special issue. All submitted papers will be evaluated on the basis of relevance, significance of contribution, technical quality, scholarship, and quality of presentation, by at least three independent reviewers. It is the policy of the journal that no submission, or substantially overlapping submission, be published or be under review at another journal or conference at any time during the review process. *** Important dates *** Manuscripts Due: 15 March 2019 Publication: 1st quarter of 2020 *** Guest editors *** Hugo Jair Escalante (hugo.jair at gmail.com), INAOE, Mexico & ChaLearn, USA Bogdan Ionescu, University Politehnica of Bucharest, Romania Esa? Villatoro, UAM-C, Mexico Gabriela Ram?rez, UAM-C, Mexico Sergio Escalera, Computer Vision Center (UAB) & University of Barcelona, Spain Martha Larson, Radboud University & Delft University of Technology, Netherlands Henning M?ller, University of Applied Sciences Western Switzerland (HES-SO), Switzerland Isabelle Guyon, ChaLearn, Berkeley, California, USA On behalf of the guest editors, Prof. Bogdan IONESCU ETTI - University Politehnica of Bucharest http://campus.pub.ro/lab7/bionescu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From erhan at atr.jp Fri Feb 15 06:57:49 2019 From: erhan at atr.jp (Erhan Oztop) Date: Fri, 15 Feb 2019 14:57:49 +0300 Subject: Connectionists: Call for papers: IEEE TCDS Special Issue on Continual Unsupervised Sensorimotor Learning In-Reply-To: References: Message-ID: Dear Colleagues, This is another announcement for the special issue "Continual Unsupervised Sensorimotor Learning" (with new dates) that will appear under IEEE Transactions on Cognitive and Developmental Systems. (Please accept our apologies for cross posting.) We would like to invite you to contribute to the special issue by submitting a research article or a review. The deadline is now set as March 15th, 2019. The scope, aim, submission and other details are given below. URL: http://projects.au.dk/socialrobotics/news-events/show/artikel/special-issue-on-continual-unsupervised-sensorimotor-learning/ AIM AND SCOPE Although machine learning algorithms continue to improve at a rapid pace enabling technologies and products such as autonomous driving cars and sophisticated image and speech recognition, it is often forgotten that these applications represent tailored solutions to specific tasks. Thus it is not clear if or how these autonomous systems can pave the road to general purpose machines envisioned by many. The pursuit for higher levels of autonomy and versatility in robotics is arguably lead by two main factors. Firstly, as we push robots out of the labs and productions lines, it becomes increasingly difficult to design for all possible scenarios that a particular robot might encounter. Secondly, the cost of designing, manufacturing, and maintaining such systems becomes prohibitive. As the algorithms for learning single tasks in restricted environments are improving, new challenges have gained relevance in order to get more autonomous artificial systems. These challenges include multi-task learning, multimodal sensorimotor learning and lifelong adaptation to injury, growth and ageing. Addressing these challenges promise higher levels of autonomy and versatility of future robots. This special issue on Continual Unsupervised Sensorimotor Learning is primarily concerned with the developmental processes involved in unsupervised sensorimotor learning in a life-long perspective, and in particular the emergence of representations of action and perception in humans and artificial agents in continual learning. These processes include action-perception cycle, active perception, continual sensory-motor learning, environmental-driven scaffolding, and intrinsic motivation. The special issue will highlight behavioural and neural data, and cognitive and developmental approaches to research in the areas of robotics, computer science, psychology, neuroscience, etc. Contributions might focus on mathematical and computational models to improve robot performance and/or attempt to unveil the underlying mechanisms that lead to continual adaptation to changing environment or embodiment and continual learning in open-ended environments. Contributions from multiple disciplines including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and developmental psychology, on theoretical, computational, application-oriented, and experimental studies as well as reviews in these areas are welcome. THEMES This special issue aims to report state-of-the-art approaches and recent advances on Continual Unsupervised Sensorimotor Learning with a cross-disciplinary perspective. Topics relevant to this special issue include but are not limited to: Emergence of representations via continual interaction Continual sensory-motor learning Action-perception cycle Active perception Environmental-driven scaffolding Intrinsic motivation Neural substrates, neural circuits and neural plasticity Human and animal behaviour experiments and models Reinforcement learning and deep reinforcement learning for life-long learning Multisensory robot learning Multimodal sensorimotor learning Affordance learning Prediction learning SUBMISSION Manuscripts should be prepared according to the ?Information for Authors? of the journal found at https://cis.ieee.org/publications/t-cognitive-and-developmental-systems/tcds-information-for-authors. Submissions must be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieee. Please select the category ?SI: Continual Unsupervised Sensorimotor Learning?. IMPORTANT DATES 15th March 2019 Paper submission deadline 1st May 2019 Notification for authors 16th June 2019 Deadline revised papers submission 16th July 2019 Final notification for authors 18th August 2019 Deadline for camera-ready versions September 2019 Expected publication date http://projects.au.dk/socialrobotics/news-events/show/artikel/special-issue-on-continual-unsupervised-sensorimotor-learning/ GUEST EDITORS Nicol?s Navarro-Gerrero Aarhus University, Aarhus, Denmark nng at eng.au.dk Sao Mai Nguyen IMT Atlantique, France nguyensmai at gmail.com Erhan Oztop Ozye?in University, Turkey erhan.oztop at ozyegin.edu.tr Junpei Zhong National Institute of Advanced Industrial Science and Technology (AIST), Japan joni.zhong at aist.go.jp With my best wishes, Erhan -- Erhan Oztop, PhD ATR external collaborator, Computer Science Dept. Ozyegin University, Istanbul, Turkey erhan.oztop at ozyegin.edu.tr, phone: +90 216 5649392 From stefano.rovetta at unige.it Fri Feb 15 04:40:02 2019 From: stefano.rovetta at unige.it (Stefano Rovetta) Date: Fri, 15 Feb 2019 10:40:02 +0100 Subject: Connectionists: CFP: Evolving and adaptive fuzzy models for data streams @EUSFLAT2019 Message-ID: <389c807a-811a-8fa5-9b08-dfbd92be7ac0@unige.it> *** CALL FOR PAPERS *** Evolving and adaptive fuzzy models for data streams NEW DEADLINE March 1st, 2019 https://sites.google.com/view/fuzzystreams Special session at EUSFLAT2019, September 9-13, 2019 - Prague http://eusflat2019.cz/ Scope Nowadays a wide range of real-world scenarios yield data streams, i.e. collections of data being generated continuously either over time or over space. E-commerce and banking transactions, weather forecasting recordings and sensor data, customer reports and network traffic records are common examples of data streams produced every day. Accordingly there is an urgent need of methods capable to handle and analyze streams of data that are usually vast in volume (or possibly infinite), high-dimensional and changing dynamically. Analysis of data streams requires models that are specifically designed to adapt continuously and automatically to smooth evolutions (drifts) and abrupt changes (shifts) in the data distribution. Evolving intelligent systems (EIS) is an emerging field that focuses on adaptive evolving models in soft computing. The main objective of this special session is to discuss the potential of fuzzy techniques to develop EIS for prediction and classification tasks in challenging scenarios involving data streams. Topics The special session is intended to collect novel ideas and share different experiences in the field of evolving fuzzy models for data streams. Submission of papers covering theoretical and application aspects of evolving fuzzy models are encouraged. Possible topics include (but are not limited to): - Learning in non-stationary environments - Online/incremental fuzzy clustering - Fuzzy techniques for data stream mining - Evolving Fuzzy Systems - Evolving Rule-Based Classifiers - Evolving Neuro-Fuzzy Systems - Adaptive Evolving Fuzzy Systems - Online Genetic and Evolutionary Algorithms - Adaptive Pattern Recognition - Incremental and Evolving Fuzzy ML Classifiers - Big Data analysis through Fuzzy techniques Important dates Paper submission deadline (EXTENDED): March 1, 2019 Notification of acceptance: April 1, 2019 Please submit your manuscript according to the general instructions for authors for EUSFLAT 2019, http://eusflat2019.cz/submission.html Submissions to EUSFLAT2019 can be either for a full papers, to be included in the proceedings (indexed book), or for a 1-page abstract, which will appear in the book of abstracts (with ISBN). Accordingly, in the first submission step please choose either of the two tracks "Full papers in proceedings" or "Book of Abstracts". Then in the second step choose the special session "Evolving and adaptive fuzzy models for data streams". Organizers Giovanna Castellano, giovanna.castellano at uniba.it Dept. of Computer Science - University of Bari Aldo Moro, Italy Stefano Rovetta, stefano.rovetta at unige.it Dept. of Informatics, Bioengineering, Robotics and Systems Engineering University of Genova, Italy Zied Mnasri, zied.mnasri at enit.utm.tn University of Tunis El Manar, Tunisia From jimtoer at ifi.uio.no Fri Feb 15 03:38:03 2019 From: jimtoer at ifi.uio.no (=?utf-8?Q?Jim_T=C3=B8rresen?=) Date: Fri, 15 Feb 2019 09:38:03 +0100 Subject: Connectionists: CFP: 2019 Joint IEEE Int. Conf. on Development and Learning and on Epigenetic Robotics 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 PAPERS: 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob 2019) 19-22 August 2019, Oslo, Norway Web page: https://icdl-epirob2019.org An IEEE Computational Society sponsored conference ==== Important Dates ==== Submission deadline: February 22, 2019 Author notification: May 1, 2019 Camera ready due: June 1, 2019 Conference: August 19-22nd 2019 ==== Overview ==== ICDL-EpiRob is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies to share knowledge and research on how intelligent biological and artificial systems develop sensing, reasoning and actions. This includes development of cognitive and social abilities through dynamic interactions with their physical and social environments. This is with a twofold objective: to gain a better understanding of human and animal intelligence, and to enable artificial systems with more adaptive and flexible behaviors. This will be the ninth time the conference is organized, and we invite submissions for the conference in 2019 to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== Topics of interest include (but are not limited to): * principles and theories of development and learning; * development of skills in biological systems and robots; * nature vs nurture, developmental stages; * models on the contributions of interaction to learning * models on active learning * architectures for lifelong learning; * emergence of body and affordance perception; * analysis and modelling of human motion and state * models for prediction, planning and problem solving; * models of human-human and human-robot interaction; * emergence of verbal and non-verbal communication; * epistemological foundations and philosophical issues; * robot prototyping of human and animal skills * ethics in computational intelligence and robotics ==== Submissions ==== Authors are invited to submit original and unpublished papers of at most 6 pages in IEEE double column format. Submission will undergo peer-review impacting which papers that are selected for either oral presentation or poster presentation. Accepted and presented full six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. The authors of the best conference papers will be invited to submit an extended version of their papers to be reviewed for inclusion in a "2019 ICDL-EpiRob conference" special issue of IEEE Transactions on Cognitive and Developmental Systems (TCDS). We also invite submissions for the MODELBot Challenge, a paper competition focusing on computational models of human or animal learning, as well as the use of robotic and computational techniques for supporting human learning. Full details are provided on the conference web page. ==== Confirmed Keynote Speakers ==== Prof. Aude Billard, ?cole Polytechnique F?d?rale de Lausanne, Switzerland Hod Lipson, Columbia University, USA Prof. Michael J. Frank, Brown University, USA Prof. Dr. Stefanie H?hl, University of Vienna, Austria See https://icdl-epirob2019.org/keynotes/ ==== Organizing committee ==== General chairs: Jim Torresen (University of Oslo, Norway ) and Kerstin Dautenhahn (University of Waterloo, Canada/University of Hertfordshire, UK) Program chairs: Kai Olav Ellefsen (University of Oslo) and Katharina J. Rohlfing (Paderborn University, Germany) Finance / Website Chairs: Kyrre Glette and Charles Martin (University of Oslo) Publicity chairs: Bruno Castro da Silva (UFRGS, Brazil), Kazi Shah Nawaz Ripon (NTNU, Norway) and Ryo Kurazume (Kyushu University, Japan) Bridge chair: Tetsuya Ogata (Waseda University, Japan) and Emre Ugur (Bogazici University, Turkey) Local chairs: Bruno Laeng and Tor Endestad (University of Oslo) Best regards from the organising committee, Bruno Castro da Silva, Kazi Shah Nawaz Ripon and Ryo Kurazume (Publicity chairs) Kai Olav Ellefsen and Katharina J. Rohlfing (Program chairs) Jim Torresen and Kerstin Dautenhahn (General chairs) -------------- next part -------------- An HTML attachment was scrubbed... URL: From asdm at fi.upm.es Thu Feb 14 09:39:39 2019 From: asdm at fi.upm.es (asdm at fi.upm.es) Date: Thu, 14 Feb 2019 15:39:39 +0100 Subject: Connectionists: CIG Group and Aingura IIoT publish the book "Industrial Applications of Machine Learning" Message-ID: <20190214153939.Horde.a6Fun7syo7ms2nHTZsLNvFF@www.fi.upm.es> ? [1] ? COMPUTATIONAL INTELLIGENCE GROUP AND AINGURA IIOT? (ETXE-TAR GROUP) PUBLISH THE BOOK INDUSTRIAL APPLICATIONS OF MACHINE LEARNING ? Members of the Computational Intelligence Group[2] in collaboration with the company Aingura IIoT[3] of the Etxe-Tar group[4] have published the book entitled "Industrial Applications of Machine Learning" in the prestigious CRC Press publisher. ? /I//NDUSTRIAL APPLICATIONS OF MACHINE LEARNING/?shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools to empower readers to build their own solutions based on theory and practice. The book introduces the fourth industrial revolution and its current impact on organizations and society. It explores machine learning fundamentals, and includes four case studies that address a real-world problem in the manufacturing or logistics domains, and approaches machine learning solutions from an application-oriented point of view. The book should be of special interest to researchers interested in real-world industrial problems. ? To buy the book or more information click?here[5] ? ? CONTACT: Laura Gonz?lez Computational Intelligence Group Department of Artificial Intelligence School of Computer Science Universidad Polit?cnica de Madrid Campus de Montegancedo S/N 28660 Boadilla del Monte, Madrid (SPAIN) Mail: lauragveiga at fi.upm.es / phone: +34910673093 ? V?nculos: --------- [1] [2] http://cig.fi.upm.es/ [3] http://www.ainguraiiot.com/ [4] http://www.etxe-tar.com/ [5] https://www.crcpress.com/Industrial-Applications-of-Machine-Learning/Larranaga-Atienza-Diaz-Rozo-Ogbechie-Puerto-Santana-Bielza/p/book/9780815356226 -------------- next part -------------- An HTML attachment was scrubbed... URL: From martaruizcostajussa at gmail.com Thu Feb 14 10:58:10 2019 From: martaruizcostajussa at gmail.com (Marta Ruiz) Date: Thu, 14 Feb 2019 16:58:10 +0100 Subject: Connectionists: Final CfP: Special Issue of Computational Linguistics: Multilingual and Interlingual Semantic Representations for Natural Language Processing In-Reply-To: References: Message-ID: *CfP: Special Issue of Computational Linguistics: * *Multilingual and Interlingual Semantic Representations forNatural Language Processing* Special Issue of Computational Linguistics: Multilingual and Interlingual Semantic Representations for Natural Language Processing Guest Editors: Marta R. Costa-juss?, Cristina Espa?a-Bonet, Pascale Fung, Noah A. Smith * Submission deadline: March 1, 2019 * --------------------------------------------------------------------------------------------------- Call for Papers --------------- Semantic representations at different levels ? word, sentence, paragraph ? are central to many solutions to Natural Language Processing (NLP) tasks. Text annotation, information retrieval, sentiment analysis, text summarisation, question answering, and machine translation solutions have achieved significant improvements using semantic representations of words. The number of tasks has also grown with the popularisation of unsupervised word embeddings, a fast and efficient way of estimating continuous representations of words. Now, representations derived from deep learning methods are giving a new boost to the field. But in an increasingly globalised world, multilingual and cross-language applications are needed. Extensions to monolingual representations of words such as multilingual Brown clusters, multilingual or interlingual word embeddings, multilingual topic models, and cross-lingual semantic parsers have been successfully applied, though performance lags behind their monolingual counterparts. On the other hand, multilinguality should be able to overcome one of the main limitations of standard representations: multiple senses of a word are conflated into a single vector. In addition, representations of sentences and paragraphs are arising through the encoder-decoder approach (in the fields of natural language inference, machine translation, and text summarization, among others) and the extension to multilingual inputs is equally or even more interesting for NLP applications. Abstract semantic representations attract interest both in academia and industry, as shown by the wide and varied publications from universities and companies on this topic. Achieving improvements in this direction will change the conception of translation (from pairwise to interlingua), enable greater sharing among different NLP applications, and overcome low-resource limitations through zero-shot learning, among other advantages. This research direction will not only increase the performance of current architectures in cross-language settings, but will also lead to novel language-independent architectures and tasks for NLP. Topics ------ This call aims to motivate research on multilingual and interlingual representations that, in the context of any NLP task, go beyond projections from one language into another one and that target crosslinguality. The special topic proposed aims to put together a compact and openly accessible volume, which presents high quality research works that cover an overview of this multidisciplinary field as well as most recent advances. Topics include, but are not limited to: ? Multilingual and crosslingual embeddings for words, sentences, paragraphs, or documents ? Interlingual representations for disambiguation (e.g., embeddings of interlingual word senses, concepts, etc.) ? Disambiguated representations through multilinguality ? Intrinsic evaluation of multilingual or crosslingual representations ? Extrinsic evaluation on NLP tasks We strongly encourage submissions that include experimental findings on languages and dialects less commonly studied in natural language processing at present. Submission Date --------------- Submission of full articles: March 1st 2019 Submission Instructions ----------------------- Papers should be submitted according to the Computational Linguistics style: *http://cljournal.org/ * As in regular submissions to the journal, paper submissions should be made through the CL electronic submission system: *http://cljournal.org/submissions.html *. In Step 1 of the submission process, please select 'Special Issue: Multilingual and Interlingual Semantic Representations' under the 'Journal Section' heading. Please note that papers submitted to a special issue undergo the same reviewing process as regular papers. Guest Editors ------------- *Marta R. Costa-juss?* Universitat Polit?cnica de Catalunya, Barcelona, Spain marta.ruiz AT upc.edu *Cristina Espa?a i Bonet* DFKI and Saarland University, Saarbr?cken, Germany cristinae AT dfki.de *Pascale Fung* Hong Kong University of Science and Technology pascale AT ee.ust.hk *Noah A. Smith* University of Washington and Allen Institute for Artificial Intelligence nasmith AT cs.washington.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From C.Campbell at bristol.ac.uk Fri Feb 15 06:36:09 2019 From: C.Campbell at bristol.ac.uk (Colin Campbell) Date: Fri, 15 Feb 2019 11:36:09 +0000 Subject: Connectionists: Research Associate/Senior Research Associate (University of Bristol, UK) Message-ID: Research Associate/ Senior Research Associate in Bioinformatics www.bristol.ac.uk/jobs Job reference: ACAD103799 Closing date: 12th March 2019. We are seeking to appoint a talented research associate / senior research associate with extensive experience in bioinformatics, machine learning or computational statistics and who is interested in the application of these techniques within genomic medicine. Within this area an ongoing theme has been the development of integrative classifiers for predicting the functional impact of human genetic variation i.e. if variation is pathogenic (a disease-driver) or neutral (see e.g. fathmm.biocompute.org.uk, cscape.biocompute.org.uk). We are very interested in using bioinformatics and machine learning methods to find disease subtypes via unsupervised learning, find variants acting as disease-drivers, predict course of disease, predict response to treatment and find drug targets, for example. A further interest is the development of novel machine learning based methods which support this overall objective. The project is linked to a large MRC Stratified Medicine Initiative grant with the goal of using bioinformatics and machine learning to define more personalized treatment regimes. A major objective of the project will be to work with Prof. Moin Saleem (University of Bristol) and his team to use these methods to identify disease-drivers responsible for nephrotic syndrome and chronic kidney disease and to further our understanding and ability to treat these diseases. The successful candidate will be appointed at either Senior Research Associate (grade J) or Research Associate (grade I) depending on experience and prior publications. The post-holder will have the opportunity to develop their own research portfolio within the programme and will be supported in their career progression. Candidates for the position should have strong mathematical and computational skills with experience in Python, R and other programming languages, experience working with a range of bioinformatic data sources and having the capability to devise novel methods. The successful applicant will be based within the Intelligent Systems Laboratory of the University of Bristol and will also work with Dr.Tom Gaunt (MRC IEU Bioinformatics Lead). Colin Campbell (contact details: https://seis.bristol.ac.uk/~enicgc/index.htm) Salary: ?33,199-?37,345 (Grade I) or ?37,345-?42,036 (Grade J) Contract type: open ended. The University is committed to creating and sustaining a fully inclusive culture. We welcome applicants from all backgrounds and communities. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tat at tchumatchenko.de Sat Feb 16 03:51:46 2019 From: tat at tchumatchenko.de (Tatjana Tchumatchenko) Date: Sat, 16 Feb 2019 09:51:46 +0100 Subject: Connectionists: PhD, Master and Postdoc positions in theoretical neuroscience at the MPI for Brain Research Message-ID: <408b31d5-21d8-5a1c-c847-56f8093e023b@tchumatchenko.de> PhD, Master and Postdoc positions in theoretical neuroscience at the Max Planck Institute for Brain Research We are looking for undergraduate students interested in writing a Master or PhD thesis and also have open positions for Postdocs to join our group "Theory of neural dynamics" at the Max Planck Institute for Brain Research lead by Dr. Tatjana Tchumatchenko. Our group studies how networks of neurons encode and decode sensory stimuli and how these functions are related to computations that underlie cognitive functions and behavior. We develop models to address linear and non-linear properties of neuronal networks and have ongoing collaborations with experimental labs where we analyze in vitro as well as in vivo data and develop appropriate models to explain the observed phenomena. Successful applicants should have a strong background in a quantitative field such as physics, mathematics or computer science and should be interested in an interdisciplinary exchange with other disciplines such as biology or medicine. Life science majors interested in quantitative modeling work are also encouraged to apply, particularly if they would like to combine experiments and theory in their Master or Ph.D. thesis work. We are looking for candidates with strong English skills and prior programming experience. In order to make teamwork in our group enjoyable and fun, the ideal candidate should have a strong work ethic and have demonstrated consistent self-motivation skills. Female students are particularly encouraged to apply. Prospective students should apply by sending an email to theoryneuraldynamics at gmail.com which includes * a letter of motivation, * CV, * and a copy of the current academic transcripts To make your motivation letter easier to write for you and more informative for us, please check the list of questions to be answered in your motivation letter at http://www.tchumatchenko.de/Opportunities.html Looking forward to your applications! Tatjana Tchumatchenko -------------- next part -------------- An HTML attachment was scrubbed... URL: From sugi at k.u-tokyo.ac.jp Sat Feb 16 03:10:18 2019 From: sugi at k.u-tokyo.ac.jp (Masashi Sugiyama) Date: Sat, 16 Feb 2019 17:10:18 +0900 Subject: Connectionists: Call for Nomination: ACML Distinguished Contribution Award Message-ID: Call for Nomination: Asian Conference on Machine Learning (ACML) Distinguished Contribution Award The ACML Steering Committee (SC) decided to establish the ACML Distinguished Contribution Award from 2018. More details about the policy can be seen at http://www.acml-conf.org/Award.ashx. The Award: The awardee will be invited to attend the conference of that year and give a 10 minutes' talk (not necessarily technical) in the banquet. They will also receive travel support, an award and a plaque (with name carved). Eligibility: 1) Steering Committee voting members cannot be nominated for the award. 2) The awardee must have significant relation with ACML, e.g., * steering committee, general chair, program chair, or * 2+ times for area chair, other chairs, or * 4+ times for program committee member, or * 5+ papers published in ACML, or * ... These are just examples, and the significance to be judged by the award committee. 3) This is a premium award of machine learning in the geographical scope of ACML, and thus, the nominee should have been well-known in the ACML community. Nomination: 1) Everyone can nominate candidate for awardee. 2) Award nomination material: Note the nominee should have been well-known in the community. The nomination requires only: 1) the name and current affiliation of the nominee, and 2) at most one paragraph describing the relation of the nominee with ACML. 3) Please email award nomination to: motoda at ar.sanken.osaka-u.ac.jp by May 10, 2019. Procedure: 1) The SC will appoint an award committee consisting of 3 people, in each year's SC meeting, for the award to be presented in next year. 2) Each year at most one awardee, who must have contributed significantly to promote machine learning in the Geo-regions covered by ACML, by research and service. 3) Award committee makes a recommendation with citation to the SC, before Jun. 30. 4) The SC will vote to approve or disapprove the recommendation: If approved, the SC chair will send notification to the awardee by Jul. 15. If disapproved, the SC will not present the award this year. 5) 2019 Award Committee: Hiroshi Motoda (Osaka University, Japan), Wray Buntine (Monash University, Australia), Masashi Sugiyama (RIKEN AIP and University of Tokyo, Japan). From EPNSugan at ntu.edu.sg Sat Feb 16 06:36:05 2019 From: EPNSugan at ntu.edu.sg (Ponnuthurai Nagaratnam Suganthan) Date: Sat, 16 Feb 2019 11:36:05 +0000 Subject: Connectionists: PR Journal SI on "Ensemble Deep Learning" (IF=3.9) Message-ID: Dear Colleague, Please consider submitting your works to Pattern Recognition journal?s (Impact Factor=3.9) special issue on ?Ensemble Deep Learning". Please refer to this link for further details: https://www.journals.elsevier.com/pattern-recognition/call-for-papers/call-for-papers-ensemble-deep-learning Extended paper submission Deadline: 15th Mar 2019. All topics having some ensemble deep learning contents and falling within the scope of Pattern Recognition Journal will be welcome. Thank you Suganthan http://www3.ntu.edu.sg/home/epnsugan/ http://www3.ntu.edu.sg/home/epnsugan/index_files/RNN-Moore-Penrose.htm (<-- 3 Hot / Highly cited RVFL papers) ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sat Feb 16 05:57:46 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Sat, 16 Feb 2019 12:57:46 +0200 Subject: Connectionists: The 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019): Final Call for Doctoral Consortium Submissions In-Reply-To: <9CA4B861-3FB4-4681-B02F-679D6C2ED351@cs.ucy.ac.cy> References: <9D907F9B-A04A-43F0-8623-6D92E4132AC9@cs.ucy.ac.cy> <46CA4E92-4B9B-4D1B-8B60-A1D0C2701DE3@cs.ucy.ac.cy> <24094F96-58F5-466E-A748-E91B9EC6E8A2@cs.ucy.ac.cy> <95F40EA8-2662-46AD-B301-3385D4B8601B@cs.ucy.ac.cy> <05EDB924-A9A7-4E3B-8E36-05EAE5D4242A@cs.ucy.ac.cy> <6FC69A4B-F456-4336-A7CC-2AAE2723CB67@cs.ucy.ac.cy> <3D0926CD-0237-493E-BBD1-914DD649F38F@cs.ucy.ac.cy> <66C85F2E-2E7D-4CFC-9BFF-ED6926E34DD9@cs.ucy.ac.cy> <87A185A1-0F32-441B-A0D0-F088969A82DF@cs.ucy.ac.cy> <10B49D4E-3C6A-4AE3-BBC6-679AB0B65AE9@cs.ucy.ac.cy> <31E2A0CF-A9B3-4B1F-B35B-3AA5FE9BA74C@cs.ucy.ac.cy> <4AB8F882-4D87-462C-B18B-6791389543A0@cs.ucy.ac.cy> <9CA4B861-3FB4-4681-B02F-679D6C2ED351@cs.ucy.ac.cy> Message-ID: *** FINAL CALL FOR DOCTORAL CONSORTIUM SUBMISSIONS *** 27th ACM International Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) Golden Bay Beach Hotel 5*, Larnaca, Cyprus, June 9-12, 2019 https://www.um.org/umap2019/ Submissions due: March 1, 2019 ACM UMAP 2019, the premier international conference for researchers and practitioners working on systems that adapt to individual users or to groups of users, and which collect, represent, and model user information, will, as in previous issues of the conference series, include a Doctoral Consortium (DC) Session, which provides an opportunity for doctoral students to explore and develop their research interests under the guidance of distinguished researchers from the field. Doctoral students are invited to apply to present their research to experienced scholars who will provide constructive feedback and advice. The Doctoral Consortium is implemented as a student mentoring program that introduces students to senior researchers from the relevant fields. Students are expected to document in a brief submission their doctoral research (see below described submission information for further details), which will be evaluated by the consortium committee. Good quality applications will be selected for presentation at a Doctoral Consortium Session as part of the conference. Promising, but less well- developed applications will be selected for presentation at a poster session. Each student with an accepted submission will be assigned a mentor who will provide feedback on the student's work and will discuss the doctoral research with the student and the audience at the consortium. How to Submit to the Doctoral Consortium To apply for the ACM UMAP 2019 Doctoral Consortium, students are asked to submit a paper presenting their doctoral research that describes: ? The problem being addressed. ? Motivation outlining the relevance of the problem and referring to related work. ? The main contributions that the PhD project aims to achieve. ? The progress made to date (including a clear description of the proposed approach, methodology and preliminary results) as well as the plan for further research. ? Topics include (but are not limited to) the ACM UMAP 2019 key areas. Each DC submission is encouraged to consider the following: identification of related (state of the art) work, indication of the potential innovation, application or advancement of the state-of-the-art that the work intends to achieve. In addition, as appropriate for the PhD project, the submissions can consider: indication of data to be used for experimentation, indication of implementation approach, indication of evaluation criteria and experimental design. Each submission should contain a cover page including the paper title, name of the PhD candidate, the name of his/her supervisor(s) and University, a paragraph describing the stage they are in the PhD programme, together with a brief description of their background. This will enable the committee to adapt its assistance to each student. Papers should be submitted via the EasyChair Doctoral Consortium submission system: https://easychair.org/conferences/?conf=acmumap2019dc Submissions should be pdf documents consisting of 1 cover page and the paper (up to 4 pages long), formatted using the ACM SIG proceedings template. ACM UMAP Proceedings The accepted ACM UMAP 2019 Doctoral Consortium papers will be included in the Conference Proceedings, which will be published by ACM and that will be available via the ACM Digital Library. The main author (doctoral student) must register for the conference for the paper to be included in the proceedings. Financial Support ACM UMAP has a history of supporting students to attend. Further details are available on the conference web site: http://www.cyprusconferences.org/umap2019/pages/supportStudent.html Important Dates ? Paper submission: March 1st, 2019 ? Notification to authors: March 22nd, 2019 ? Camera ready submission: April 3rd, 2019 ? ACM UMAP 2019 DC Session: June 11th and 12th, 2019 Note: The submissions times are 11:59pm AoE time (Anywhere on Earth). Doctoral Consortium Chairs ? Laurens Rook, TU Delft, The Netherlands (l.rook AT tudelft.nl) ? Markus Zanker, Free University of Bozen-Bolzano, Italy (mzanker AT unibz.it) -------------- next part -------------- An HTML attachment was scrubbed... URL: From pdrahul2 at gmail.com Sun Feb 17 04:10:31 2019 From: pdrahul2 at gmail.com (Rahul Pandey) Date: Sun, 17 Feb 2019 04:10:31 -0500 Subject: Connectionists: CALL FOR WORKSHOP/SPECIAL-SESSION PROPOSALS - 18th IEEE/WIC/ACM International Conference on Web Intelligence | Thessaloniki, Greece, 14th - 17th October 2019 In-Reply-To: References: Message-ID: [Our apologies should you receive this message more than once] __________________________________________________________________________ CALL FOR WORKSHOP/SPECIAL-SESSION PROPOSALS Web Intelligence 2019 18th IEEE/WIC/ACM International Conference on Web Intelligence Thessaloniki, Greece, 14th - 17th October 2019 https://webintelligence2019.com/ DEADLINE: MARCH 5, 2019 You are invited to submit a workshop/special-session proposal as part of the WI '19 conference ABOUT WI '19 WORKSHOPS ---------------------------------------- The 18th Web Intelligence conference (WI '19) will be held in Thessaloniki (Greece) during 14th to 17th of October 2019. Its organizing committee invites proposals for workshops/special sessions to be held in conjunction with the conference. The goals of the workshops are to explore emerging research topics and to provide a forum for authors to present early research results on these topics. We would like to have a number of workshops, with a high quality program dominated by contributed papers. We expect that workshops will run a rigorous review process, to make sure programs will be of high-quality. Organizers may structure workshops/tutorials as they see fit, possibly including invited talks, panel discussions, presentations of work in progress, peer-reviewed papers, demonstrations, or some combination. WI '19 WORKSHOP CO-CHAIRS --------------------------------------------- Dimitrios Katsaros, ECE, University of Thessaly, Greece (dkatsar at inf.uth.gr ) Rahul Pandey, IST, George Mason University, USA (rpandey4 at gmu.edu) TOPICS OF INTEREST ------------------------------- - the topic falls in the general scope of Web Intelligence 2019; - As the theme for this year's conference is "Web Intelligence = AI in the Connected World", workshops/special-sessions under this theme is encouraged; - there is a clear focus on a specific technology, problem or application; - there should be a greater impact to the society; In particular, we encourage the submission of workshop/special-session proposals on: - Fairness in Web - Deep Learning/ML in the Web - Web for Social Good - Web for Smart cities - Web in/for IoT - Misinformation handling in the Web - Recommendation Systems for the Web - Big Data on the Web - User behavior modeling in the Web - NLP in the Web - Mobile data mining in the Web - Social intelligence - Web/text mining IMPORTANT DATES ----------------------------- Workshop/Special-Session Proposal Submission Deadline - 5th March, 2019 Workshop/Special-Session Proposal Notification of Acceptance - 25th March, 2019 All Workshops/Special-Sessions Day - 4th October, 2019 SUBMISSION INSTRUCTION ---------------------------------------- The workshop proposal, in PDF, should provide the following information, in the following format: HEADING: - Title of the workshop/special-session and acronym - Proposed duration (half-day or full-day) - Workshop (co-)chair(s) name, affiliation. mailing address, and e-mail address - Short CV of (co-)chair(s) including past experience in organizing workshops and/or related events INTRODUCTION: - Abstract: One paragraph describing the workshop/special-session purpose (max. 200 words) - Scope and topics of the workshop RATIONALE: - Motivation and rationale - Why the workshop is related to WI 2019; - Why the topic is timely and important; - Why the workshop may attract a significant number of submissions of good quality; - Why the workshop may attract a large number of attendees, in addition to the authors; - Why the workshop differs from others; - Related workshops and conferences of similar topics; WORKSHOP DETAILS: - Tentative committee lists (organizers, program committee, etc.) - Expected number of participants and the expected number of submissions - A short list of potential authors that are expected to submit papers to the workshop - A draft call for papers (max 1 page) - A description of the publicity and promotion plan - Workshop tentative internal and external schedule (expect adjustments by the workshops chairs to align all workshop schedules) - Submission deadline; - Review deadline; - Acceptance deadline; - Camera ready; - Program ready; - Workshop format planned (keynote, expected number of presented papers, invited talks, panels, demonstrations, etc.) Please send a whole copy of your proposal in PDF format to workshop co-chairs with subject "Submission of WI 2019 workshop proposal: XXX", where XXX should be replaced by the acronym of your workshop REVIEW PROCESS ------------------------- The decision about acceptance or rejection of workshop proposals will be made by the Workshop co-Chairs in consultation with the General and Program Committee Chairs, taking into account several factors including overall quality, the topic fit with respect to The Web Intelligence Conference 2019, the coverage of the topic in other tracks of the conference, the estimated number of attendees for the workshop, etc. ORGANIZATION DUTIES ---------------------------------- - Announce the calls for papers - Create and maintain the workshop/special-session website - Publicize workshop/special-session in the relevant communities - Create the Program Committee - Conduct the review process - Schedule the workshop/special-session program REGISTRATION ---------------------- Workshop/special session paper registration fees are the same as regular conference fees. All registered participants are entitled to attend all keynotes, sessions, workshops, panels, tutorials and social events. PUBLICATION --------------------- Full day workshops should have 10-14 regular papers (max 8 pages), while half day should have 5-7 regular papers. On the other hand, special-session should have 4-6 regular papers. The papers must be submitted electronically via Cyberchair in standard ACM Conference Proceedings format (max 8 pages). The workshop's organizers will have the responsibility to ensure the presence of authors of the accepted papers at the workshops. Download this in pdf: http://webintelligence2019.com/wp-content/uploads/2019/02/WI-19_CFP-Workshops_Special-Session.pdf - -------------- next part -------------- An HTML attachment was scrubbed... URL: From ale at sissa.it Sun Feb 17 10:13:50 2019 From: ale at sissa.it (Alessandro Treves) Date: Sun, 17 Feb 2019 16:13:50 +0100 Subject: Connectionists: Up to 7 PhD fellowships in Cognitive Neuroscience at SISSA, Trieste, Italy Message-ID: <20190217161350.Horde.G1coKB8V4mxcaXoulUtFULA@webmail.sissa.it> SISSA is an elite postgraduate research institution, focused on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. Campus above Trieste, overlooking the Gulf. Research approaches in the CNS PhD https://phdcns.sissa.it/ span the range from cognitive psychology and imaging in humans to behavioural neuroscience and multiple single-unit recording in rats, mathematical and computational modeling; with research groups led by Domenica Bueti, Davide Crepaldi, Mathew Diamond, Chris Mathys, Raffaella Rumiati, Alessandro Treves and Davide Zoccolan. Allied approaches are pursued in other SISSA PhDs. All admitted students receive a 4-year fellowship and engage full-time in research based in Trieste, with limited coursework in the first few months, talks and seminars throughout the year and a TEX event in the summer. First deadline for all candidates: 12.3.2019, for nonEU only: 28.2.2019 https://www.sissa.it/bandi/concorso-lammissione-ai-corsi-di-phd-della-sissa-lanno-accademico-201920-announcements -- Alessandro Treves http://people.sissa.it/~ale/limbo.html SISSA - Cognitive Neuroscience, via Bonomea 265, 34136 Trieste, Italy +39-040-3787623 Ambassador (BlaBlaCar) +39-349-2504602 From jose at rubic.rutgers.edu Sun Feb 17 09:54:45 2019 From: jose at rubic.rutgers.edu (=?UTF-8?Q?Stephen_Jos=c3=a9_Hanson?=) Date: Sun, 17 Feb 2019 09:54:45 -0500 Subject: Connectionists: Annotated Bibilography--Historical context DL/NN Message-ID: <0b7447e6-665f-4d58-b55b-1b9a8cdf9d50@rubic.rutgers.edu> Please find the attached shameless self-reference to a series of papers from 1987-2002 that have relevance to recent Deep-Learning research and may provide useful historical context for DL. ? Queries or comments--> jose at rubic.rutgers.edu -- Stephen Jos? Hanson Professor Director RUBIC (University-Wide) Department of Psychology (NK) Cognitive Science Center (NB) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: NN87-02.pdf Type: application/pdf Size: 86233 bytes Desc: not available URL: From diego.perez at qmul.ac.uk Mon Feb 18 05:21:45 2019 From: diego.perez at qmul.ac.uk (Diego Perez Liebana) Date: Mon, 18 Feb 2019 10:21:45 +0000 Subject: Connectionists: IEEE Conference on Games (CoG) 2019 - Introducing Tracks Message-ID: Dear all, (apologies for cross-posting) We are celebrating IEEE Conference on Games (CoG) 2019 this 20-23rd August in QMUL, London, UK (http://www.ieee-cog.org/). The deadline for regular papers, 24th March, will not be extended. Please see CFP here: http://www.ieee-cog.org/cfp/ As you may know, CoG is expanding the scope from CIG in order to welcome papers on not only AI but all aspects of games research. The conference will be structured in tracks, so you must select the track you want to submit your paper to via EasyChair. The tracks that we have prepared for CoG 2019 are: * AI for playing games * PCG, AI for Game Design * Analytics and player modelling * Benchmarks and competitions * Game Theory and Multi-agent Systems * Narrative and Interactive Entertainment * Graphics and animation * Sound and music * Game Interfaces and User Interaction * Virtual and Augmented Reality * Serious Games Technology * Game Design You can find a more detailed description of each track on the conference website: http://www.ieee-cog.org/topics/ Please note that each track has its own expert PC for reviewing the submitted papers. Finally, we are working on an exciting Industry Day for August 20th. More updates will come up soon! Best wishes, Diego. --- Diego P?rez Li?bana Lecturer in Computer Games and Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London (UK) email: diego.perez at qmul.ac.uk web: http://www.diego-perez.net Email notices: 1) You may have seen that I sometimes write emails outside (your) working hours. Please don't take this as an indication that I require an immediate response - we simply may be working at different times. 2) Because of the daily high load of emails, I may take some time to reply to you. If it's important, I may take even more time, because I want to provide an adequate response. If it's urgent, I'll try to reply quickly and maybe just with a very short email. No disrespect, just trying to be efficient - I'd understand if you did the same. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Vittorio.Murino at iit.it Mon Feb 18 09:31:49 2019 From: Vittorio.Murino at iit.it (Vittorio Murino) Date: Mon, 18 Feb 2019 22:31:49 +0800 Subject: Connectionists: CFP - 2nd Multimodal Learning and Applications Workshop (MULA 2019) Message-ID: <976c6fee-402d-b9cf-9a32-f2eab5721346@iit.it> Apologize for multiple postings ===================================================================================================================== Call for papers: *2nd Multimodal Learning and Applications Workshop (MULA 2019)* June 16th, 2019 (Morning). In conjunction with CVPR 2019 * * Website: https://mula-workshop.github.io/ This is an open call for papers, soliciting original contributions considering recent findings in theory, methodologies, and applications in the field of multimodal machine learning. *Scope* The exploitation of the power of big data in the last few years led to a big step forward in many applications of Computer Vision. However, most of the tasks tackled so far are involving mainly visual modality due to the unbalanced number of labelled samples available among modalities (e.g., there are many huge labelled datasets for images while not as many for audio or IMU based classification), resulting in a huge gap in performance when algorithms are trained separately. *Topics* ?Potential topics include, but are not limited to: * Multimodal learning * Cross-modal learning * Self-supervised learning for multimodal data * Multimodal data generation and sensors * Unsupervised learning on multimodal data * Cross-modal adaptation * Multimodal data fusion * Multimodal transfer learning * Multimodal applications (e.g. drone vision, autonomous driving, industrial inspection, etc.) * Machine Learning studies of unusual modalities *Submission* Papers will be limited up to 8 pages according to the CVPR format (c.f. main conference authors guidelines). All papers will be reviewed by at least two reviewers with double blind policy. Papers will be selected based on relevance, significance and novelty of results, technical merit, and clarity of presentation. Papers will be published in CVPR 2019 proceedings. All the papers should be submitted using CMT website . *Important Dates* _Deadline for submission_: March 10th, 2019 - 23:59 Pacific Standard Time Notification of acceptance April 3rd, 2019 Camera Ready submission deadline: April 10th, 2019 Workshop date: June 16th, 2019 (Morning) *Organizers* Pietro Morerio, Istituto Italiano di Tecnologia, Italy Paolo Rota,? Universit? di Trento, Italy Michael Ying Yang, University of Twente, Netherlands Bodo Rosenhahn, Institut f?r Informationsverarbeitung, Leibniz-Universit?t Hannover, Germany Vittorio Murino,?Istituto Italiano di Tecnologia, Italy ========================================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From arthur.flexer at ofai.at Mon Feb 18 10:00:38 2019 From: arthur.flexer at ofai.at (Arthur Flexer) Date: Mon, 18 Feb 2019 16:00:38 +0100 Subject: Connectionists: 2nd Call for Papers ISMIR 2019 - Delft, The Netherlands In-Reply-To: References: Message-ID: <64f85d3c-ee34-ee12-079c-48d21f43424d@ofai.at> ================================================== ISMIR 2019, Delft, The Netherlands, November 4-8 2019 20th International Conference on Music Information Retrieval http://ismir2019.ismir.net ================================================== The annual conference of the International Society for Music Information Retrieval (ISMIR) is the world?s leading research forum on processing, analyzing, searching, organizing and accessing music-related data. The 20th ISMIR conference, to be held in Delft, The Netherlands, welcomes contributions related to any aspect of Music IR, including foundations and theories for music processing, evaluation algorithms, applications, and analysis. CALL FOR PAPERS ISMIR 2019 welcomes full-paper contributions to any aspect of Music IR. Relevant topics include, but are not limited to: * MIR data and fundamentals. * Domain knowledge. * Evaluation and Methodology. * Musical features and properties. * Music processing. * User-centered Music IR. * Applications. More details about submissions can be found at http://ismir2019.ewi.tudelft.nl/?q=call-for-papers Important Dates Abstract Submission, April 5, 2019 Final Submission, April 12, 2019 Notification of Acceptance, June 7, 2019 Camera-Ready Upload, June 28, 2019 CALL FOR ANNIVERSARY PAPERS To commemorate this year's anniversary of 20 years of ISMIR conferences, ISMIR 2019 calls for special papers which reflect on the development of MIR as a research field by charting MIR's progress over the last two decades, and also elaborate on MIR's future. We are looking for thought-provoking and insightful papers reflecting on the evolution of the Music IR field as a whole or particular topics therein. More details about anniversary submissions can be found at http://ismir2019.ewi.tudelft.nl/?q=call-for-anniversary-papers Presentation and Special Issue Only a few anniversary papers will be selected for publication, and they will have oral presentations at the conference. Extended versions will be considered for inclusion, together with a regular set of submissions, for a special issue of the Transactions of the ISMIR. IMPORTANT FOR ISMIR 2019 This year we specially call for submissions that explicitly discuss reusable insights, that is, insights that may go beyond the scope of the paper, domain or application, in order to build up consistent knowledge across the MIR community. In order to maintain the legitimacy for our double-blind review process, we discourage authors from posting near duplicate manuscripts on public archives (technical reports, arXiv, etc.) Scientific Program Chairs Arthur Flexer, Austrian Research Institute for Artificial Intelligence Geoffroy Peeters, LTCI - T?l?com ParisTech, France Juli?n Urbano, Delft University of Technology, The Netherlands Anja Volk, Utrecht University, The Netherlands General Conference Chairs Cynthia Liem, Delft University of Technology, The Netherlands Emilia G?mez, Universitat Pompeu Fabra, Spain From ieee.cibcb.2019 at gmail.com Mon Feb 18 10:25:52 2019 From: ieee.cibcb.2019 at gmail.com (IEEE CIBCB 2019) Date: Mon, 18 Feb 2019 16:25:52 +0100 Subject: Connectionists: IEEE CIBCB 2019 - Call for Papers - Deadline Extension Message-ID: Apologies for possible multiple posting Dear All, this is reminder that the deadline for the submission for proceeding papers has been extended to March, 1st 2019 https://cibcb2019.icas.xyz/call-for-papers/ KEYNOTE SPEAKERS: - Pierre Baldi, University of California, Irvine, USA ("Deep Learning for Biomedical Data") - Riccardo Bellazzi, University of Pavia, Pavia, Italy ("Data integration strategies to support clinical research") - Thomas Keane, EMBL-EBI, Cambridge, UK ("Human data federation to catalyse personalised medicine across Europe and beyond") SUBMISSION GUIDELINES Accepted papers will be published in the conference proceedings and will be indexed in IEEE Xplore?. Prospective authors are invited to submit papers of 2 to 4 pages (short papers) or of 5 to 8 pages (complete papers) All papers must be submitted via the EasyChair online submission system ( https://easychair.org/conferences/?conf=cibcb2019). Papers must be in PDF and written in English. Detailed instructions and templates for preparing your manuscript can be found here: https://www.ieee.org/conferences/publishing/templates.html SPECIAL ISSUES After the conference, prospective authors are invited to submit manuscripts to a Special Issue in "Deep Learning for Genomics/Bioinformatics" to be published in IEEE/ACM Transactions on Computational Biology and Bioinformatics. All works presented at the event and related to other topics will be invited to submit for a Special Issue on IEEE Journal of Biomedical and Health Informatics. The Special Issue is open to anyone, i.e. having an accepted paper at CIBCB 2019 is not a requirement. Papers accepted at CIBCB 2019 need to be extended significantly before being submitted to the Special Issue. CONFERENCE VENUE IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (https://cibcb2019.icas.xyz/) will be held in Certosa di Pontignano (Siena), Tuscany (Italy) in July 9th-11th. TUTORIAL - Bioinformatics tools for investigating the tumor-immune cell interface Best regards, IEEE CIBCB 2019 Organizing Committee -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Mon Feb 18 10:54:22 2019 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Mon, 18 Feb 2019 15:54:22 +0000 Subject: Connectionists: Abstract submissions open for UK Neural Computation 2019 Message-ID: The UK Neural Computation 2019 meeting is now accepting abstract submissions. The main meeting will be 2nd-3rd July 2019, at the University of Nottingham. Abstracts can be in any field of neural computation and computational neuroscience. 300 words maximum. All submissions will be considered for the poster sessions. Please indicate if you are interested in giving a talk (4 abstracts will be selected for talks) Abstract submission closes: May 10th Decisions: May 24th Please visit the Abstracts page for full details on how and where to submit: https://drmdhumphries.wixsite.com/ukneuralcomp2019/abstracts Full details of the conference are here: https://drmdhumphries.wixsite.com/ukneuralcomp2019 Invited speakers: Athena Akrami / Andy Barron / Tim Behrens / Claudia Clopath / Matthias Hennig / Simon Laughlin / Rosalyn Moran / Cian O'Donnell / Chris Summerfield / Tim Vogels / Barbara Webb Chair: Mark Humphries Committee: Hannes Saal, Robert Schmidt and Stuart Wilson. 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 iswc.conf at gmail.com Mon Feb 18 12:26:05 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Mon, 18 Feb 2019 18:26:05 +0100 Subject: Connectionists: [CfP] ISWC 2019 - Call for Research, In-use, Resource and Doctoral Consortium papers Message-ID: 18th International Semantic Web Conference (ISWC 2019) ?Knowledge Graphs, Linked Data, Linked Schemas and AI on the Web? Auckland, New Zealand, 26-30 October, 2019 https://iswc2019.semanticweb.org/ The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. ISWC attracts a large number of high quality submissions every year and participants from both industry and academia. ISWC brings together researchers from different areas, such as artificial intelligence, databases, natural language processing, information systems, human computer interaction, information retrieval, web science, etc., who investigate, develop and use novel methods and technologies for accessing, interpreting and using information on the Web in a more effective way. Follow us: Twitter: @iswc_conf , #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/groups/13612370 Facebook: https://www.facebook.com/ISWConf/ Become part of ISWC 2019 by submitting to the following tracks & activities or just attend them! (All deadlines are midnight Hawaii time.) In this announcement: * Highlights 1. Call for Research papers 2. Call for In-use papers 3. Call for Resource papers 4. Call for Doctoral Consortium * Highlights ******************************************* * Research, In-use and Resource tracks: submission of the same work to multiple tracks is not allowed and may result in a rejection of the work across all tracks without a review. Before submitting, authors are asked to consult the calls of the other tracks featured at ISWC 2019 and to choose the track that best suits their contribution. Please consult the following page as well when deciding to which track to submit: https://iswc2019.semanticweb.org/paper-features-per-track/ * Research track: papers submitted to the research track will be subject to **double blind** peer review. * Research track: a reproducibility certification with a dedicated review board will be proposed to the accepted research track papers that include a significant experimental evaluation. * Doctoral Consortium: papers submitted to the doctoral consortium will be subject to **double blind** peer review. 1. Call for Research papers ******************************************* In this track of ISWC 2019, we are looking for novel and significant research contributions addressing theoretical, analytical and empirical aspects of the Semantic Web. While we welcome work that relates to the W3C Semantic Web recommendations (e.g., RDF, OWL, SPARQL, etc.), we also encourage contributions to research at the intersection of Semantic Web and other scientific disciplines. Submissions to the research track should describe original, significant, and replicable research on the Semantic Web. All papers must include method evaluations that are rigorous, repeatable and reproducible. This will be one of the key paper reviewing criteria. We also strongly encourage papers that provide material such as data sets, source code, queries used to evaluate their approach, and/or live deployments. To comply with the double blind review policy we encourage the usage of non-personal storage spaces or the additional material facility available at submission time. Topics of interest include, but are not limited to: * Database, information retrieval, information extraction, natural language processing and artificial intelligence techniques for the Semantic Web * Knowledge representation and reasoning on the Web * Knowledge graphs and deep semantics * Machine learning and data mining methods for the Semantic Web * Data mining and knowledge discovery in Linked data and ontologies * Robust and scalable management of semantics and data on the Web and in Linked Data * Processing and storage of semantic data on the blockchain * Methods to investigate and catalogue semantic primitives used in ontology definitions * Enabling access to ontologies and knowledge bases by rendering the knowledge in different modalities, e.g. as natural language text, explanatory video, interactive elements, etc. * Languages, tools, and methodologies for representing and managing semantics and data on the Web * Programming the Semantic Web * Architectures and algorithms for extreme volume, heterogeneity, dynamicity, and decentralization of Semantic Web data * Cleaning, quality assurance, and provenance of Semantic Web data, services, and processes * Ontology-based data access and integration/exchange on the Web * Ontology engineering and ontology patterns for the Web * Ontology modularity, mapping, merging, and alignment for the Web * Search, query, integration, and analysis on the Semantic Web * Supporting multi-linguality in the Semantic Web * Question answering over Linked Data and ontologies * Information visualization and exploratory analysis methods for Semantic Web data * Semantic social network mining, analysis, representation, and management * Crowdsourcing semantics; methods, dynamics, and challenges * Geospatial semantics and data on the Web * Data streams and the Internet of Things * Semantic technologies for mobile platforms * Trust, privacy, and security on the Semantic Web * Semantic Web and Linked Data for cloud environments * Access control and privacy in semantic data Further info: https://iswc2019.semanticweb.org/call-for-research-track-papers/ == Important Dates == Abstracts: April 3, 2019 Full papers: April 10, 2019 == Program Chairs == Contact: iswc2019-program at inria.fr Chiara Ghidini, Fondazione Bruno Kessler (FBK), Italy Olaf Hartig, Link?ping University, Sweden 2. Call for In-use papers ******************************************* The adoption of Semantic Web technologies has accelerated in recent years, where they are now deployed in a variety of real-world settings at a variety of scales. The In-Use Track at ISWC 2019 continues the tradition of demonstrating and learning from the increasing adoption of Semantic Web technologies by providing a forum for the community to explore the benefits and challenges of applying such technologies in concrete, practical use cases, beyond the research communities from which they originate, in contexts ranging from industry to government and science. The In-Use Track thus seeks submissions describing applied and validated solutions such as software tools, systems or architectures that benefit from the use of Semantic Web technologies (including, but not limited to, technologies based on the Semantic Web standards). Importantly, submitted papers should provide convincing evidence of the use of the proposed application or tool by the target user group, preferably outside the group that conducted the development and, more broadly, outside the Semantic Web research community. A main focus of the submissions should be on the benefits of Semantic Web technologies for the intended use case, as well as (if relevant) the added challenges they introduce. We welcome submissions that demonstrate the use of Semantic Web technologies such as those mentioned in the Call for Papers of the Research Track, and additionally cover one or more of the following topics: * Applications in domain-specific areas (e.g., libraries, cultural heritage, healthcare, life sciences, engineering, smart manufacturing, smart cities, open government) * Description and analysis of concrete and novel problems or use cases in a specific domain in which Semantic Web technologies were applied (this should be part of submissions presenting a concrete application) * Descriptions of how Semantic Web resources (ontologies, datasets, software, standards, etc) are being used in practice * Assessment of the Semantic Web technologies from diverse points of view, such as: - Usability and acceptance by stakeholder groups - Uptake outside the Semantic Web research community - Scalability of Semantic Web solutions and their large scale deployment - Technical strengths and weaknesses especially in comparison with alternative technologies (e.g., database management systems, model-driven engineering) - Costs and benefits of implementing, deploying, using, and managing Semantic Web technologies - Risks and opportunities of using Semantic Web technologies in organizations with respect to their businesses and customers * Lessons learned and best practices from deploying and using an application or service based on Semantic Web technologies * Comparison of Semantic Web technologies with alternative approaches that use conventional or competing technologies Further info: https://iswc2019.semanticweb.org/call-for-in-use-track-papers/ == Important Dates == Abstracts: April 3, 2019 Full papers: April 10, 2019 == Program Chairs == Contact: iswc2019-in-use at inria.fr Isabel Cruz, University of Illinois at Chicago, USA Aidan Hogan, Universidad de Chile, Chile 3. Call for Resource papers ******************************************* Resources are of paramount importance as they foster scientific advancement. For example, the DBpedia resource had a major influence on the Semantic Web community by enabling the Linked (Open) Data movement. Validating a research hypothesis or providing answers to a research question often goes together with developing new resources that support these achievements. Sharing resources is key to allow other researchers to compare new results, reproduce experimental settings and explore new lines of research, in accordance with the FAIR principles for scientific data management. Yet, resources themselves rarely get the same recognition as the scientific advances they facilitate. The ISWC 2019 Resources Track aims to promote the sharing of resources including, but not restricted to: datasets, ontologies/vocabularies, ontology design patterns, evaluation benchmarks or methods, software tools/services, APIs and software frameworks, workflows, crowdsourcing task designs, protocols, methodologies and metrics, that contribute to the generation of novel scientific work. In particular, we encourage the sharing of such resources following best practices within the Semantic Web community. This track calls for contributions that provide a concise and clear description of a resource and its usage. A typical Resource track paper has its focus set on reporting on one of the following categories of resources: * Datasets produced - to support specific evaluation tasks; - to support novel research methods; - by novel algorithms; * Ontologies, vocabularies and ontology design patterns, with a focus on describing the modelling process and decisions underlying their creation; * Benchmarking activities focusing on datasets and algorithms for comprehensible and systematic evaluation of existing and future systems; * Reusable research prototypes / services supporting a given research hypothesis; * Community-shared software frameworks that can be extended or adapted to support scientific study and experimentation; * Scientific and experimental workflows used and reused in practical studies; * Novel evaluation methodologies and metrics, and their demonstration in an experimental study. Further info: https://iswc2019.semanticweb.org/call-for-resources-track-papers/ == Important Dates == Abstracts: April 3, 2019 Full papers: April 10, 2019 == Program Chairs == Contact: iswc2019-resource at inria.fr Maria Maleshkova, SDA, University of Bonn, Bonn, Germany Vojt?ch Sv?tek, University of Economics, Prague, Czech Republic 4. Call for Doctoral Consortium Papers ********************************************** The ISWC 2019 Doctoral Consortium will take place as part of the 18th International Semantic Web Conference in Auckland, New Zealand. This forum will provide PhD students an opportunity to share and develop their research ideas in a critical but supportive environment, to get feedback from mentors who are senior members of the Semantic Web research community, to explore issues related to academic and research careers, and to build relationships with other Semantic Web PhD students from around the world. The Consortium aims to broaden the perspectives and to improve the research and communication skills of these students. The Doctoral Consortium is intended for students who have a specific research proposal and some preliminary results, but who have sufficient time prior to completing their dissertation to benefit from the consortium experience. Generally, students in their second or third year of PhD will benefit the most from the Doctoral Consortium. In the Consortium, the students will present their proposals and get specific feedback and advice on how to improve their research plan. All proposals submitted to the Doctoral Consortium will undergo a thorough reviewing process with a view to providing detailed and constructive feedback. The international program committee will select - submissions for presentation at the Doctoral Consortium. Students with accepted submissions at the Doctoral Consortium will be eligible to apply for travel fellowships to offset some of the travel costs but they will be asked to attend the whole day of the Doctoral Consortium. We ask the PhD students to submit a 12 page description of their PhD research proposal. All proposal have to be submitted electronically via the EasyChair conference submission System. The proposal text must have at least 8 sections (some can be very short), addressing each of the following questions: 1. Problem statement: What is the problem that you are addressing? 2. Relevancy: Why is the problem important? Who will benefit if you succeed? Who should care? 3. Related work: How have others attempted to address this problem? Why is the problem difficult? 4. Research question(s): What are the research questions that you plan to address? 5. Hypotheses: What hypotheses are related to your research questions? See Is This Really Science? The Semantic Webber?s Guide to Evaluating Research Contributions. 6. Preliminary results: Do you have any preliminary results that demonstrate that your approach is promising? 7. Approach: How are you planning to address your research questions and test your hypotheses? What is the main idea behind your approach? The key innovation? 8. Evaluation plan: How will you measure your success ? faster/ more accurate/ less failures/ etc.? How do you plan to test your hypothesis? What will you measure? What will you compare to? 9. Reflections: Why do you think you will succeed where others failed? Provide an argument, based either on common knowledge or on evidence that you have accumulated, that your approach is likely to succeed. Further info: https://iswc2019.semanticweb.org/call-for-doctoral-consortium-papers/ == Important Dates == Full papers due April 17, 2019 Notifications May 15, 2019 Camera-ready papers due June 14, 2019 == Program Chairs == Contact: iswc2019-doctoral-consortium at inria.fr Miao Qiao, Computer Science Department, the University of Auckland, Auckland, New Zealand Mauro Dragoni, Fondazione Bruno Kessler, Trento, Italy See you all in Auckland! The ISWC 2019 Organising Team ( https://iswc2019.semanticweb.org/organizing-committee/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From nian.zhang6 at gmail.com Mon Feb 18 14:26:43 2019 From: nian.zhang6 at gmail.com (Pub Conference) Date: Mon, 18 Feb 2019 14:26:43 -0500 Subject: Connectionists: [Invitation] ICIST 2019: 9th International Conference on Information Science and Technology, Hulunbuir, Inner Mongolia, China Message-ID: Please accept our sincere apologies if you receive multiple copies of this CFP. *Call for Papers*https://conference.cs.cityu.edu.hk/icist/ Following the successes of previous events, the 9th International Conference on Information Science and Technology (ICIST 2019) will be held in Hulunbuir (Hulunbeier), Inner Mongolia, China during August 2-5, 2019. Situated in northeastern China near the borders of Russia and Mongolia, Hulunbuir features picturesque grassland and nomadic culture. ICIST 2019 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. Authors are invited to submit full-length papers (8 pages maximum) by the submission deadline through the online submission system. In addition, proposals for special sessions within the technical scopes of the conference are solicited. Special session organizers are invited to enlist six or more papers with cohesive topics to form special sessions. The Proceedings has been contracted to be included in IEEE Xplore Digital Library and will be submitted for EI indexing. *Important Dates* Special session proposals deadline: March 1, 2019 Paper submission deadline: April 1, 2019 Notification of acceptance: May 1, 2019 Camera-ready copy and author registration: June 1, 2019 Conference: August 2-5, 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From pierre-yves.oudeyer at inria.fr Mon Feb 18 11:59:12 2019 From: pierre-yves.oudeyer at inria.fr (Pierre-Yves Oudeyer) Date: Mon, 18 Feb 2019 17:59:12 +0100 Subject: Connectionists: [job] Call for postdoc application on curiosity-driven deep reinforcement learning Message-ID: Call for postdoc application Topic: Intrinsically motivated multi-goal deep reinforcement learning in open virtual worlds Host and location: Inria Flowers Lab, Bordeaux, France Collaboration with Ubisoft (Bordeaux) Supervision: Pierre-Yves Oudeyer (Flowers team, Inria and Ensta ParisTech) Duration: between 18 months and 2 years Deadline for application: the position will be assigned and start as soon as possible (from april or may 2019). This postdoc project aims to develop autonomous lifelong machine learning techniques that enable virtual intelligent agents to make discoveries and acquire large repertoires of skills in open uncertain environments. This is key for developing agents that need to continuously explore and adapt interaction skills to new or changing tasks, environments, people to interact with, and preferences of others. The approach will leverage recent advances in curiosity-driven developmental learning (also called intrinsically motivated learning) to drive exploration in a multi-goal deep reinforcement learning framework. In particular, it will consist in studying several extensions of recent results of the Flowers lab in this area, including unsupervised learning of goal spaces using deep learning approaches (Laversanne-Finot et al., 2018) and the CURIOUS algorithm for intrinsically motivated multi-task multi-goal deep RL (Colas et al., 2019). These algorithms will be evaluated on benchmarks involving novel virtual environments dedicated to study exploration and curiosity (e.g. based on Unity3D MLagents), as well as modern open world video games in the context of a collaboration with Ubisoft (Bordeaux). Keywords : Deep RL, neural networks, multi-task learning, transfer learning, curiosity, intrinsic motivation, curriculum learning, Unity3D. Required knowledge and background: Candidates should already have shown very strong experience and achievements, shown by publications in top-tier AI/machine learning conferences and journals (e.g. NIPS, ICML, ICLR) in either: - Deep Learning algorithms (theory and practical implementations) - Reinforcement learning Other requirements: - strong skills in mathematics, statistical inference, machine learning - Advanced programming skills - Motivation to work in an interdisciplinary project Contact and application: Send CV and letter of motivation to pierre-yves.oudeyer at inria.fr Web: Inria Flowers: http://flowers.inria.fr and http://www.pyoudeyer.com The Flowers Lab: developmental robotics and lifelong multitask machine learning ================================================================== The Flowers Lab, headed by Pierre-Yves Oudeyer, gathers a team of ~20 members and has been one of the pioneers of developmental robotics and lifelong machine learning and artificial intelligence in the last decade, in particular through developping models of intrinsically motivated learning of repertoires of skills that have both contributed to advance understanding of human curiosity and development, and to advance incremental online multitask machine learning techniques in difficult high-dimensional robotic spaces. This work in the Flowers lab is conducted in the context of large international projects (e.g. ERC grant, European projects 3rdHand and DREAM, HFSP project Neurocuriosity), with interdisicplinary collaborations with other labs in neuroscience, psychology, machine learning and robotics. The successful candidates would be directly involved in these international collaborations. The Flowers lab has recently spin-off the Pollen Robotics startup company, and is involved in multiple collaborations with industrials through Inria's strong support towards impacting both science and industry. Inria and EnstaParistech =================== The lab is within Inria Bordeaux, which is a prestigious, and also the largest, public European research insitution focused on computer science, mathematics and their applications. Inria's teams and researchers (> 2800 employees) have received prestigious awards, coordinate many international projects, and have created strong innovations now used in many parts of industry. Inria research center in Bordeaux gathers around 300 researchers. The Flowers Lab is also associated to EnstaParisTech, which is a prestigious French engineering school (university). Bordeaux ======== The Flowers lab in Bordeaux is located in a great building on the border of one of the world most famous vineyard, and 10mn by tram from Bordeaux town center (and 2 hours from Paris through high-speed trains): https://www.inria.fr/en/centre/bordeaux Bordeaux has been recently rated by Lonely Planet as the world's best city to visit: http://www.independent.co.uk/travel/news-and-advice/best-cities-in-the-world-top-10-lonely-planet-bordeaux-cape-town-la-a7379066.html References: Baranes, A., & Oudeyer, P. Y. (2013) Active learning of inverse models with intrinsically motivated goal exploration in robots. Robotics and Autonomous Systems, 61(1), 49-73. https://hal.inria.fr/hal-00788440/document COLAS, C?dric, SIGAUD, Olivier, et OUDEYER, Pierre-Yves (2019) CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning. https://arxiv.org/pdf/1802.05054.pdf Colas, C., Sigaud, O., and P-Y. Oudeyer (2018) Gep-pg: Decoupling exploration and exploitation in deep reinforcement learning algorithms. arXiv preprint arXiv:1802.05054, 2018. https://arxiv.org/abs/1802.05054 Laversanne-Finot, A., P?r?, A., Oudeyer, P-Y. (2018) Curiosity Driven Exploration of Learned Disentangled Goal Spaces, In Proceedings of Conference on Robot Learning (CoRL 2018). Blog post : https://openlab-flowers.inria.fr/t/discovery-of-independently-controllable-features-through-autonomous-goal-setting/494 P?r?, A., Forestier, S., Sigaud, O, and P.-Y. Oudeyer (2018) Unsupervised learning of goal spaces for intrinsically motivated goal exploration. In International Conference on Learning Representations (ICLR), 2018. https://arxiv.org/abs/1803.00781 -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Tue Feb 19 03:51:21 2019 From: nemanja at temple.edu (Nemanja Djuric) Date: Tue, 19 Feb 2019 03:51:21 -0500 Subject: Connectionists: 2nd CfP: CVPR 2019 Workshop - "Precognition: Seeing through the Future" Message-ID: Call for Workshop Papers Precognition: Seeing through the Future in conjunction with The 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019) Long Beach, CA, USA, June 16th-21th, 2019 https://sites.google.com/view/ieeecvf-cvpr2019-precognition ================= Despite its potential and relevance for real-world applications, visual forecasting or precognition has not been in the focus of new theoretical studies and practical applications as much as detection and recognition problems. Through organization of this workshop we aim to facilitate further discussion and interest within the research community regarding this nascent topic. The workshop will discuss recent approaches and research trends not only in anticipating human behavior from videos, but also precognition in multiple other visual applications, such as: medical imaging, health-care, human face aging prediction, early event prediction, autonomous driving forecasting, and so on. In addition, this workshop will give an opportunity for the community in both academia and industry to meet and discuss about future work and research directions. It will bring together researchers from different fields and viewpoints to discuss existing major research problems and identify opportunities in further research directions in both research topics and industrial applications. ================= Topics: The workshop focuses on several important aspects of visual forecasting. The topics of interest for this workshop include, but are not limited to: - Early event prediction - Activity forecasting - Multi-agent forecasting - Human behavior prediction - Human face aging prediction - Anticipation of trajectories - Short- and long-term prediction and diagnoses in medical imaging - Predicting frames and features in videos and other sensors in autonomous driving - New theories and applications in visual forecasting models - Databases, evaluation, and benchmarking in precognition ================= Submission Instructions: All submitted work will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted submission, at least one author must attend the workshop and present the paper. There are two ways to contribute submissions to the workshop: - Extended abstracts submissions are single-blind peer-reviewed, and author names and affiliations should be listed. Extended abstract submissions are limited to a total of four pages. Accepted abstracts will be presented at the poster session, and will not be included in the printed proceedings of the workshop. - Full paper submissions are double-blind peer-reviewed. The submissions are limited to a total of eight pages, including all content and references, must be in PDF format, and formatted according to the CVPR style (additional information about formatting and style files is available here). Accepted papers will be presented at the poster session, with selected papers also being presented in an oral session. All accepted papers will be published by the CVPR in the workshop proceedings. Submission website: https://easychair.org/conferences/?conf=precognition2019 ================= Important Deadlines: Submission : March 24th, 2019 Decisions : March 31th, 2019 Camera-ready : April 7th, 2019 Workshop : June 16th, 2019 ================= Best Paper Awards: Uber ATG has generously agreed to reward an author of a best paper and a best student paper with valuable Uber ATG swag merchandise. ================= Program Committee Chairs: - Dr. Khoa Luu (University of Arkansas) - Dr. Kris Kitani (Carnegie Mellon University) - Dr. Minh Hoai Nguyen (Stony Brook University) - Dr. Hien Van Nguyen (University of Houston) - Dr. Nemanja Djuric (Uber ATG) - Dr. Utsav Prabhu (Google) For further questions please contact a member of the organizing committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Tue Feb 19 05:04:13 2019 From: laurenz.wiskott at rub.de (Laurenz Wiskott (work)) Date: Tue, 19 Feb 2019 11:04:13 +0100 Subject: Connectionists: EuroCogSci 2019: Invitation Message-ID: <20190219100413.b573ptvpfusepsle@garlic> Sent in behalf of Prof. Albert Newen, Ruhr-University Bochum. Laurenz Wiskott. ========================================================================================== EuroCogSci 2019 SITUATED MINDS AND FLEXIBLE COGNITION Call for Papers, Posters and Contributed Symposia The conference EuroCogSci 2019 aims at providing a platform for discussing the most recent developments in Cognitive Science. It will feature contributed papers, symposia, and posters covering all subfields of cognitive science, bringing together a large number of experts from Europe and overseas. Venue: Ruhr-Universit?t Bochum Start: Monday, September 2nd, 2019 End: Wednesday, September 4th, 2019 Keynote Speaker: Lawrence Barsalou (University of Glasgow) Julia Fischer (Universit?t G?ttingen) Patrick Haggard (UCL, London) Asifa Majid (Max Planck Institute for Psycholinguistics) Brian McLaughlin (Rutgers University) Natalie Sebanz (CEU, Hungary) John Spencer (University of East Anglia) Invited Symposium I: Situated Robotics and its Applications Minoru Asada (Osaka University) and Etienne Burdet (Imperial College London) Invited Symposium II: Evolutionary Robotics Dario Floreano (EPFL) and Partica A. Vargas (Heriot-Watt University) Invited Symposium III: Theory of Mind and Its Developments ?gnes M. Kov?cs (CEU), Beate Priewasser (Salzburg), Albert Newen (Ruhr-Universit?t Bochum) Local organizing team: Albert Newen (main organizer), Sabrina Coninx, Onur G?nt?rk?n, Dorothea Kolossa, Beate Krickel, Jonas Rose, Tobias Schlicht, Gregor Sch?ner, Alfredo Vernazzani, Markus Werning, Pascale Willemsen Call for Contributed Symposia We encourage the joint submission of thematically related papers of a key research topic as symposia. More information at: https://www.ruhr-uni-bochum.de/philosophy/EuroCogSci2019/call-for-contributed-symposia The deadline for submission of symposia proposals: 28 February 2019 Call for Papers and Posters We invite contributions on recent research in any subfield of cognitive science. More information at: https://www.ruhr-uni-bochum.de/philosophy/EuroCogSci2019/call-for-papers-and-posters The deadline for submission of papers & posters: 31 March 2019 Call for Registration: a detailed call will be sent out later. Contact information: EuroCogSci2019 at rub.de ________________________________ Dr.des. Alfredo Vernazzani Scientific Manager: EuroCogSci 2019 Ruhr-Universit?t Bochum Institut f?r Philosophie II GA 6/35, Universit?tsstr. 150 44799 Bochum, Deutschland From diego.perez at qmul.ac.uk Tue Feb 19 05:12:14 2019 From: diego.perez at qmul.ac.uk (Diego Perez Liebana) Date: Tue, 19 Feb 2019 10:12:14 +0000 Subject: Connectionists: [CFP] GVGAI Single-Player Learning Competition at IEEE CEC2019 (submission opened) Message-ID: [Apologises for multiple postings] Call for Participants 3rd General Video Game AI Single-Player Learning Competition Organised at the IEEE?s 2019 Congress on Evolutionary Computation (IEEE CEC2019) http://cec2019.org/ We are happy to announce that the 3rd General Video Game AI Single-Player Learning Competition will be organised at the IEEE?s 2019 Congress on Evolutionary Computation (IEEE CEC2019), Wellington (New Zealand). GVGAI Learning Track has been interfaced to OpenAI Gym!!! GVGAI website: www.gvgai.net GVGAI Learning Competition website (rules & submission): http://www.aingames.cn/gvgai-cec2019/ GVGAI-Gym on GitHub: https://github.com/rubenrtorrado/GVGAI_GYM/ Demo video on YouTube: https://youtu.be/O84KgRt6AJI CIG18 paper about GVGAI Learning: Deep Reinforcement Learning for General Video Game AI (https://arxiv.org/abs/1806.02448) Survey paper about GVGAI: General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms (https://arxiv.org/abs/1802.10363) Important Dates Release games for competition: 15 Feb 2019 (named as "cec1", "cec2" and "cec3") Submission deadline: 30 April 2019 23:59 (GMT) Announcement of results: during the CEC2019 Organisers Organised by Hao Tong1, Ruben Rodriguez Torrado2 and Philip Bontrager2 Steering Committee: Jialin Liu1, Julian Togelius2, Diego Perez-Liebana3 and Simon M. Lucas3 1 Southern University of Science and Technology (SUSTech), China 2 New York University (NYU), USA 3 Queen Mary University of London (QMUL), UK --- Diego P?rez Li?bana Lecturer in Computer Games and Artificial Intelligence School of Electronic Engineering and Computer Science Queen Mary University of London (UK) email: diego.perez at qmul.ac.uk web: http://www.diego-perez.net Email notices: 1) You may have seen that I sometimes write emails outside (your) working hours. Please don't take this as an indication that I require an immediate response - we simply may be working at different times. 2) Because of the daily high load of emails, I may take some time to reply to you. If it's important, I may take even more time, because I want to provide an adequate response. If it's urgent, I'll try to reply quickly and maybe just with a very short email. No disrespect, just trying to be efficient - I'd understand if you did the same. -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Tue Feb 19 14:13:13 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Tue, 19 Feb 2019 14:13:13 -0500 Subject: Connectionists: 2nd call for submissions: Challenge Track at ETRA'19 (11th ACM Symposium on Eye Tracking Research & Applications) Message-ID: <05d301d4c887$2c4a8b50$84dfa1f0$@neuralcorrelate.com> Dear Colleagues, In 2019, ETRA will host for the first time a Challenge Track. In this opening edition, the Challenge Track will consist of a mining challenge. We call upon interested participants to apply their analytical tools to a common human eye-movement data set. The challenge is for participants to creatively engage their newest and most exciting mining tools and approaches to make the most of these data. Please find detailed information on the ETRA'19 Challenge Track at: https://etra.acm.org/2019/challenge.html Important Dates Papers Due March 15, 2019 Author Notification March 29, 2019 Camera Ready April 5, 2019 Challenge Track Chairs * Susana Martinez-Conde, State University of New York, Downstate Medical Center (Email: smart at neuralcorrelate.com) * Jorge Otero-Millan, Johns Hopkins University (Email: jotero at jhu.edu) We look forward to your participation! -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 265911 bytes Desc: not available URL: From boris.gutkin at ens.fr Wed Feb 20 02:43:58 2019 From: boris.gutkin at ens.fr (boris gutkin) Date: Wed, 20 Feb 2019 08:43:58 +0100 Subject: Connectionists: =?utf-8?q?6th_International_School_for_Young_Scie?= =?utf-8?q?ntists_=E2=80=9CActive_and_Passive_Methods_of_Brain_Research?= =?utf-8?q?=E2=80=9D_=2819-21_April_2019=29?= Message-ID: Center for Cognition and Decision Making at HSE is pleased to invite you to our 6th International School for Young Scientists ?Active and Passive Methods of the Brain Research?. Modern techniques of non-invasive brain stimulation (TMS, TES) and electroencephalography EEG are the methods which help to evaluate the role of the various neuronal structures and promote understanding of the complex work of the whole brain. School participants will have a unique opportunity to get hands-on experience with these techniques (TMS, TES, EEG) and learn about their advantages and limitations. The program also covers the topics on data analysis and interpretation. Invited keynote speakers are: Ilmoniemi Risto (Aalto University, Finland) Rossi Simone (Universit? degli Studi di Siena, Italy) Lioumis Pantelis (Aalto University, Finland) Santarnecchi Emiliano (CNBS, Harvard Medical School, USA) School topics: Day 1: Basics of non-invasive brain stimulation Day 2: Combination of different neurostimulation techniques Day 3: Analysis and interpretation of the neurostimulation/neuroimaging data The school is organized by experts and leading scientists from: Higher School of Economics (Russia) Aalto University (Finland) Universit? degli Studi di Siena (Italy) Dates: 19-21 April 2019 Registration: school fee ? 1000 rubles (in some cases compensation may be provided). Registration is open until 10th of April. School audience: undergraduate and graduate students, early career researchers. The language of the school: English School format: 3 days - 7 hours per day. Venue: Higher School of Economics (Myasnitskaya, 9/11, Moscow, Russia) For more information, please visit our website with a preliminary program https://www.hse.ru/en/cdm-centre/bms/2019/program_ru/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From petzschner at biomed.ee.ethz.ch Wed Feb 20 05:50:18 2019 From: petzschner at biomed.ee.ethz.ch (Petzschner Frederike) Date: Wed, 20 Feb 2019 10:50:18 +0000 Subject: Connectionists: International Computational Psychiatry Course in Zurich Message-ID: [https://gallery.mailchimp.com/580102dd1c8a80231f82f2e50/images/3e95c2bc-fb84-4fdd-8d0d-8e76b2dfaaad.png] Computational Psychiatry Course 2nd September - 6th September 2019 Zurich It's a pleasure to announce the next international Computational Psychiatry Course organised by the Translational Neuromodeling Unit (TNU) at the ETH and University of Zurich. The 5th CPC will take place from 2nd - 6th September 2019 in Zurich. Register here ABOUT This 5-day course focuses on the introduction to computational modelling techniques and features talks which refer to and demonstrate the practical use of open source software from multiple labs. The goal is that students attending this course can go home with a clear idea of which models and freely available software exist and how they can be applied to concrete problems, enabling them to use computational models with more expertise and confidence in their own scientific work. For more information see the attached flyer or follow us on: [https://cdn-images.mailchimp.com/icons/social-block-v2/color-twitter-48.png] [https://cdn-images.mailchimp.com/icons/social-block-v2/color-facebook-48.png] [https://cdn-images.mailchimp.com/icons/social-block-v2/color-link-48.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CPC2019_Flyer.pdf Type: application/octet-stream Size: 2289832 bytes Desc: CPC2019_Flyer.pdf URL: From terry at salk.edu Wed Feb 20 10:28:45 2019 From: terry at salk.edu (Terry Sejnowski) Date: Wed, 20 Feb 2019 07:28:45 -0800 Subject: Connectionists: NEURAL COMPUTATION - March 1, 2019 In-Reply-To: Message-ID: Neural Computation - Volume 31, Number 3 - March 1, 2019 Available online for download now: http://www.mitpressjournals.org/toc/neco/31/3 http://cognet.mit.edu/content/neural-computation ----- Article Gradient Descent with Identity Initialization Efficiently Learns Positive Definite Linear Transformations by Deep Residual Networks Peter L. Bartlett, David P. Helmbold, and Philip M. Long Letters Forgetting Memories and Their Attractiveness Enzo Marinari, Laurea Scalable and Flexible Unsupervised Feature Selection Haojie Hu, Rong Wang, Xiaojun Yang, and Feiping Nie State Space Representations of Deep Neural Networks Michael Hauser, Sean Gunn, Samer Saab Jr, and Asok Ray Advancing System Performance with Redundancy: >From Biological to Artificial Designs Anh Tuan Nguyen, Jian Xu, Diu Khue Luu, Qi Zhao, and Zhi Yang A Novel Optimization Framework to Improve the Computational Cost of Muscle Activation Prediction for a Neuromusculosketetal System Seyed Mohammad Ali Rahmati, Mostafa Rostami, and Alireza Karimi The Information Bottleneck and Geometric Clustering D. J. Strouse and David J. Schwab ------------ 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 ijcci at insticc.info Thu Feb 21 06:45:57 2019 From: ijcci at insticc.info (ijcci at insticc.info) Date: 21 Feb 2019 11:45:57 +0000 Subject: Connectionists: CFP IJCCI 2019 - 11th Int.l Joint Conf. on Computational Intelligence (Vienna/Austria) Message-ID: <20190221114558.1.C8D91A98F4CFF706@insticc.info> SUBMISSION DEADLINE 11th International Joint Conference on Computational Intelligence Submission Deadline: April 29, 2019 http://www.ijcci.org/ September 17 - 19, 2019 Vienna, Austria. IJCCI is organized in 4 major tracks: - Evolutionary Computation - Fuzzy Computation - Neural Computation - Cognitive and Hybrid Systems Proceedings will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS, Semantic Scholar and Google Scholar. With the presence of internationally distinguished keynote speakers: Pietro Oliveto, University of Sheffield, United Kingdom Marco Dorigo, Universit? Libre de Bruxelles, Belgium A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don't hesitate contacting me. Kind regards, IJCCI Secretariat Address: Avenida de S?o Francisco Xavier Lote 7L Cave 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.ijcci.org/ e-mail: ijcci.secretariat at insticc.org From m.russo at hsantalucia.it Thu Feb 21 09:38:10 2019 From: m.russo at hsantalucia.it (Marta Russo) Date: Thu, 21 Feb 2019 09:38:10 -0500 Subject: Connectionists: From Dagmar Sternad: Position for a Postdoctoral Fellow in Human Motor Control Message-ID: On behalf of Prof. Dagmar Sternad *Position for a Postdoctoral Fellow in Human Motor Control* Dagmar Sternad Professor of Biology, Electrical and Computer Engineering, and Physics Northeastern University d.sternad at northeastern.edu We are seeking a highly motivated postdoctoral fellow to work in the area of computational neuroscience and physical human-robot interaction. The research of Prof. Sternad?s Action Lab?s at Northeastern University in Boston is on human motor control and learning with extensions to clinical populations and rehabilitation http://www.northeastern.edu/actionlab/. Ongoing projects are on complex object manipulation and on human walking on unstable support. Our research addresses fundamental questions on human motor control, with a view to human-robot interactions and also clinical applications. Several ongoing collaborations are with Prof. Neville Hogan at MIT. The Action Lab?s interdisciplinary research program addresses questions in motor control from the perspective of dynamical system, bridging disciplinary approaches from nonlinear dynamics, biomechanics and engineering, neuroscience and psychology. The overall goal of our research is to understand the generation of perceptually controlled behavior in human systems. Our lab is equipped with state-of-the-art experimental equipment, including 3D motion capture, three virtual reality set-ups with a robot manipulandum, force plates and wireless EMG. We also use brain measurement and stimulation techniques, such as EEG and TMS. Our laboratory is currently supported by the National Science Foundation and the National Institutes of Health. For more information about ongoing projects please visit our website: http://www.northeastern.edu/actionlab/ Candidates should have graduate training in one of the following disciplines: Computational Motor Neuroscience, Physics, Mechanical, Electrical or Computer Engineering, the latter with an emphasis on robotics and interest in human motor control. The applicant should demonstrate an academic record of scientific excellence, independent research, and a strong interest in an interdisciplinary approach to human and robotic motor control. Experience in programming is expected (Matlab, C++, Statistics packages, etc.). He/she will get involved in existing research projects, but is also encouraged to bring to bear his/her expertise into the research project. The Action Lab is located in the Departments of Biology, Electrical and Computer Engineering, and Physics at Northeastern University as well as the Center for Interdisciplinary Research in Complex Systems. Northeastern University is located in the heart of Boston, which provides a stimulating environment for interdisciplinary research. Applicants should submit a curriculum vita, including a list of publications, and two letters of recommendation to d.sternad at northeastern.edu. Hiring will start as soon as possible. -- *Rispetta l'ambiente: se non ti ? necessario, non stampare questo messaggio -?**Please consider the environment before printing this email.* -------------- next part -------------- An HTML attachment was scrubbed... URL: From cmummidise at sralab.org Fri Feb 22 11:11:48 2019 From: cmummidise at sralab.org (Krishna Mummidisetty) Date: Fri, 22 Feb 2019 21:41:48 +0530 Subject: Connectionists: ICORR 2019 - Paper Submission Deadline Extended !! Message-ID: <201902221613.x1MGDHUb101540@scs-mx-01.andrew.cmu.edu> ICORR 2019 16th IEEE International Conference on Rehabilitation Robotics 24-28 June 2019, TORONTO, CANADA Call for Submission Papers can cover the following areas: - Rehabilitation and assistive robotics - Socially interactive robotics - Human-machine interfaces in rehabilitation - Neurobotics - Advanced prosthetics - Wearable devices - Robotics in clinical practice - From lab to market *IMPORTANT DATES* Paper Submission Opens: December 15, 2018 Paper Submission Deadline Extended:*March 4th**, 2019* Notification of Acceptance: April 1, 2019 Submission of Final Paper: May 15, 2019 Register here: http://icorr2019.org/ -- Chaithanya K Mummidisetty, MS Research Engineer-III The Max N?der Lab for Rehabilitation Technologies and Outcomes Research Center for Bionic Medicine Office of Translational Research Shirley Ryan AbilityLab, 355 E Erie, Room#1401 Chicago IL-60611. Ph: 312-238-1621 sralab.org max-nader-lab-rehabilitation-technologies-and-outcomes-research Facebook | Twitter | YouTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From johannes.kleiner at itp.uni-hannover.de Fri Feb 22 10:43:43 2019 From: johannes.kleiner at itp.uni-hannover.de (Johannes Kleiner) Date: Fri, 22 Feb 2019 16:43:43 +0100 Subject: Connectionists: Conference Models of Consciousness, Oxford Message-ID: <6fe51085-ac01-4fa3-3576-340932fb3917@itp.uni-hannover.de> Dear all, I'd like to point your attention to the following conference on formal approaches to the mind-matter relation: Models of Consciousness Mathematical Institute, University of Oxford September 9 - 12, 2019 https://models-of-consciousness.org/ With best wishes, Johannes -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Thu Feb 21 22:18:39 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Fri, 22 Feb 2019 03:18:39 +0000 Subject: Connectionists: SBP-BRiMS 2019 -- Deadline extended In-Reply-To: References: , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2019 2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 9-12, 2019, Lehman Auditorium, George Washington University, Washington DC, US http://sbp-brims.org/ #sbpbrims CALL FOR PAPERS -- Deadline Extended (see below): SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interests include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and/or evolution * Collective action and governance * Information, belief, technology of disease diffusion * Public opinion representation, identification and modeling * Information diffusion * Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations * Validation and analysis techniques for social behavioral models Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes over time or space * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Social Cyber-Security applications * Social simulation for military training * Cyber diplomacy * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Applications for Health and Well-being * Data science applied to health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation CHALLENGE PROBLEMS: There will be two data science challenges, one on opioids and one on disinformation. Additional details are posted on the conference website, SBP-BRiMS.org/challenge. The deadline for submissions this year will be 17-May-2019. IMPORTANT DATES: Regular Paper Submission: 22-February-2019 1-March, 2019 Author Notification: 22-March-2019 Final Version Submission for Regular Papers: 12-April-2019 Challenge Problem Paper Submission: 17-May-2019 All accepted papers require confirmation of conference registration when uploading final versions. Each accepted paper requires a separate registration. All regular papers will be a maximum of 10 pages including all figures, tables and references. See http://sbp-brims.org/cfp for more information on formatting AWARDS: All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. Submission of a paper to the conference means that the authors consent to send an extended version to the special issue, should they receive one of the awards. Papers receiving the best paper awards, the best student paper award, winner of the opioid challenge, and winner of the disinformation challenge will then send an extended version of their paper for publication in the best of SBP-BRiMS 2019 special issue. -------------- next part -------------- An HTML attachment was scrubbed... URL: From belk at cs.ucy.ac.cy Thu Feb 21 18:32:47 2019 From: belk at cs.ucy.ac.cy (Marios Belk) Date: Fri, 22 Feb 2019 01:32:47 +0200 Subject: Connectionists: Workshop on Adaptive and Personalized Privacy and Security (APPS 2019) at ACM UMAP 2019 Message-ID: <609d165cfe3016d8de1b78d7f812968e@cs.ucy.ac.cy> ACM UMAP Workshop - Adaptive and Personalized Privacy and Security (APPS 2019) - CALL FOR PAPERS The International Workshop on Adaptive and Personalized Privacy and Security, in conjunction with the 27th ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2019) Larnaca, Cyprus, June 09-12, 2019 Workshop Website: http://appsworkshop.cs.ucy.ac.cy Paper Submissions: https://easychair.org/conferences/?conf=apps2019 IMPORTANT DATES Papers submission deadline: March 13, 2019 (23:59 AoE time) Notification: March 26, 2019 Camera-ready papers: April 03, 2019 MOTIVATION & GOALS Millions of users across different continents and countries are daily engaged with privacy and security tasks which are indispensable in modern information systems and services. Such tasks are commonly related to user authentication, human interaction proofs (e.g., captcha), privacy and security pop-up dialogs, setting privacy and security features within online user profiles, etc. Recent privacy and security incidents of famous online services have once more underpinned the necessity towards further investigating and improving current approaches and practices related to the design of efficient and effective privacy and security. In order to achieve this objective, one possible direction is related to providing adaptive and personalized characteristics to privacy- and security-related user tasks, given the diversity of the user characteristics (like cultural, cognitive, age, habits), the technology (like standalone, mobile, mixed-virtual-augmented reality, wearables) and interaction contexts of use (like being on the move, social settings, spatial limitations). Hence, adaptive and personalized privacy and security implies the ability of an interactive system or service to support its end-users, who are engaged in privacy- and/or security-related tasks, based on user models which describe in a holistic way what constitutes the user?s physical, technological and interaction context in which computation takes place. APPS 2019 aims to bring together researchers and practitioners working on diverse topics related to understanding and improving the usability of privacy and security software and systems, by applying user modeling, adaptation and personalization principles. The workshop will address the following objectives: - increase our understanding and knowledge on supporting usable privacy and security interaction design through novel user modeling mechanisms and adaptive user interfaces; - discuss methods and techniques for understanding user attitudes and perceptions towards privacy and security issues in various application areas; - identify human-centered models for the design, development and evaluation of adaptive and personalized privacy and security systems; - discuss methods for evaluating the impact and added value of adaptation and personalization in privacy and security systems. TOPICS OF INTEREST Topics of interest include, but are not limited to: - Adaptation and personalization approaches in usable privacy and security - Effects of human factors (e.g., cognition, personality, etc.) in privacy and security systems - Novel user interaction concepts and user interfaces for achieving usable security - Cultural diversity in usable privacy and security - Context-aware privacy and security - Adaptive usable security in various domains such as healthcare, IoT, automotive - Trust perceived in patient-centric healthcare systems - Perceived security and usability in patient-centric healthcare systems - Adaptive user authentication policies - Novel approaches to the design and evaluation of usable security systems - Lessons learned from the deployment and use of usable privacy and security features - Ethical considerations in adaptive and personalized privacy and security PAPER SUBMISSION & PUBLICATION All workshop papers must contain original, previously unpublished, research work adhering the two publication types: - Full research papers (6 pages, incl. references), proposing new approaches, innovative methods and research findings. - Short research papers (4 pages, incl. references), presenting works in progress, lessons learned, emerging or future research issues and directions on topics related to APPS. Manuscripts should be formatted using the ACM Standard (SIGCONF) templates (http://www.acm.org/publications/proceedings-template). Please submit your paper through the EasyChair submission system: https://easychair.org/conferences/?conf=apps2019 At least one author of each accepted paper must attend the workshop and present the paper. Accepted papers will be published by ACM and will be available via the ACM Digital Library. ORGANIZING COMMITTEE Marios Belk, University of Central Lancashire, Cyprus Campus, CY Christos Fidas, University of Patras, GR Elias Athanasopoulos, University of Cyprus, CY Andreas Pitsillides, University of Cyprus, CY From tetiana.aksenova at cea.fr Fri Feb 22 10:59:04 2019 From: tetiana.aksenova at cea.fr (Tetiana AKSENOVA 218551) Date: Fri, 22 Feb 2019 15:59:04 +0000 Subject: Connectionists: PhD Position in artificial intelligence/machine learning with focus on Brain Computer Interface at CEA Grenoble, France Message-ID: Applications are invited for the research position in the field of artificial intelligence/machine learning with the focus on motor ECoG-driven Brain Computer Interface (BCI) with multiple degrees of freedom, at CEA Grenoble, France, funded by an international mobility program. Context The thesis will be carried out within the frame of the multidisciplinary project "Brain Computer Interface" (BCI) at LETI-CLINATEC? which is located at the research technological center CEA (Commissariat ? l'Energie Atomique et aux Energies Alternatives), Grenoble, in collaboration with CEA LETI - DTBS (Grenoble) and CEA LIST-DM2I (Paris-Saclay), France. The goal of the BCI project is the proof of concept that it is possible to control complex effectors thanks to brain activity decoding. Motor BCI raises the hope that limb mobility may be restored for severely motor-impaired patients to regain autonomy, providing them with control over orthosis or prostheses. The BCI project at LETI-CLINATEC? is based on the recording of neuronal activity at the level of cerebral motor cortex thanks to the WIMAGINE? implant dedicated to record ElectroCorticoGrams, ECoG. The real-time ECoG signal processing allows controlling complex effectors with multiple degrees of freedom. A clinical research protocol ? BCI and Tetraplegia ? at CLINATEC? includes several tetraplegic subjects and is in progress. CEA-LETI teams possess significant experience in motor ECoG-based BCI. A set of decoding algorithms were developed to solve the problem of stable ECoG signal decoding. They are published in articles, defended by patents, tested in preclinical experiments in ECoG non-human primate data, and in healthy subjects using MEG (MagnetoEncephaloGraph) experiments and, finally, in tetraplegic subject in the frame of the clinical research protocol providing large number of degrees of freedom (DoF) to control complex effector such as 4-limb exoskeleton. CEA-LIST-DM2I team possesses significant experience in the field of Artificial Intelligence non-conventional applications under constraints, computing power limitations and efficient model re-training in potentially non-stationary context. Mission The thesis is addressing an ambitious scientific breakthrough - taking neuroprosthetics out-of-the-lab. The objective is to explore challenges of motor BCI medical applications and to achieve neuroprosthetics control performance superior to the current state-of-art and sufficient for the medical use. To achieve objectives of robust and accurate BCI control of complex effectors with large number of DoF in natural environment without or with minimal assistance, innovative Artificial Intelligence (AI) methods will be developed and applied. The missions of the PhD fellow will be: - to explore specific challenges of multi-limb motor BCI addressing real life tasks, taking an advantage of long-term clinical trial and bilateral implantation of chronic wireless ECoG recording devices. - to develop and to apply innovative decoding/control algorithms using AI approaches. The candidate will be integrated into the signal processing team and will collaborate with a multidisciplinary team such as software and electrical engineers, biologists and medical doctors. Candidate Profile: MSc or equivalent with strong knowledge in Signal processing, Applied mathematics, Machine learning, Deep learning with skills in Matlab, C/C++, Python. Eligibility The thesis is supported by MSCA (Marie Sklodowska Curie Actions) from the EU framework Program for Research and Innovation Horizon 2020. The NUMERICS program is a new international PhD program launched by CEA in the field of scientific computing (please refer to: http://numerics.cea.fr/). We are looking for a candidate of excellence satisfying European mobility rules. To be eligible, applicants shall not have resided or carried out their main activity in France more than 12 months in the three years prior to the call deadline (mobility condition). Candidates should contact the persons below by April 1st 2019. Contacts Dr. Tetiana AKSENOVA / T?l?phone : 04 38 78 03 20 / Email : tetiana.aksenova at cea.fr Dr. Antoine SOULOUMIAC / T?l?phone : 01 69 08 49 76/ Email : antoine.souloumiac at cea.fr References - Eliseyev, A., Mestais, C., Charvet, G., Sauter, F., Abroug, N., Arizumi, N., ... & Benabid, A. L. (2014, August). CLINATEC? BCI platform based on the ECoG-recording implant WIMAGINE? and the innovative signal-processing: Preclinical results. In Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE (pp. 1222-1225). IEEE. - Mestais, C. S., Charvet, G., Sauter-Starace, F., Foerster, M., Ratel, D., & Benabid, A. L. (2015). WIMAGINE: Wireless 64-Channel ECoG Recording Implant for Long Term Clinical Applications. Neural Systems and Rehabilitation Engineering, IEEE Transactions on, 23(1), 10-21. - Eliseyev, A., Auboiroux, V., Costecalde, T., Langar, L., Charvet, G., Mestais, C., Aksenova, T & Benabid, A. L. (2017). Recursive Exponentially Weighted N-way Partial Least Squares Regression with Recursive-Validation of Hyper-Parameters in Brain-Computer Interface Applications. Scientific reports, 7(1), 16281. - Schaeffer, M. C., & Aksenova, T. (2016). Switching Markov decoders for asynchronous trajectory reconstruction from ECoG signals in monkeys for BCI applications. Journal of Physiology-Paris 110.4 (2016): 348-360. - Pinot, Rafael, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, C?dric Gouy-Pailler, and Jamal Atif. 2019. "Theoretical Evidence for Adversarial Robustness through Randomization: The Case of the Exponential Family." ArXiv:1902.01148 [Cs, Stat], February. http://arxiv.org/abs/1902.01148. - Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu: Evolutive Deep Models for Online Learning on Datastreams with no Storage. IOTSTREAMING at PKDD/ECML 2017 - Rivet, Bertrand, Antoine Souloumiac, Virginie Attina, and Guillaume Gibert. 2009. "XDAWN Algorithm to Enhance Evoked Potentials: Application to Brain-computer Interface." IEEE Transactions on Biomedical Engineering 56 (8): 2035-2043. -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonino.staiano at uniparthenope.it Fri Feb 22 13:04:50 2019 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Fri, 22 Feb 2019 19:04:50 +0100 Subject: Connectionists: Call for Papers Special issue on Recent Machine Learning Applications to IoT Message-ID: *********************************************************************************************** Special issue on Recent Machine Learning Applications to IoT, Electronics - MDPI *********************************************************************************************** Dear Colleagues, it was a long time ago that Mark Weiser envisioned a world of small, cheap, and robust networked processing devices, distributed across human and natural environments at all scales, to aid our everyday life. Since then, the technological developments, from nanotechnologies to computation and communication systems, have converged into what is nowadays known as Internet of Things (IoT), and made what Weiser envisioned a reality. IoT has paved the way to a plethora of new application domains, at the same time posing, however, several challenges as a multitude of devices, protocols, communication channels, architectures. and middleware exist. Nevertheless, IoT is growing exponentially in the number and heterogeneity of actors; indeed, a number between 50 and 100 billion objects are expected by 2020, and this growth makes ?intelligence? a critical turning point for the success of IoT. In particular, we are witnessing an incremental development of interconnections between devices (smartphones, tablets, smartwatches, fitness trackers and wearable devices in general, smart TVs, home appliances, and more), people, processes, and data. Data generated by the devices are becoming big data and call for advanced learning and data mining techniques to efficiently and effectively understand, learn, and reason with this amazing volume of information. Moreover, thanks to the latest results of research on Artificial Intelligence, applications can count on an ?intelligent? network of billions of sensors ?aware? of their operating environment, able to listen, learn, and respond to offer new services and functionalities in the most disparate application domains, which guarantee greater security, simplicity, and reliability. This Special Issue aims at collecting contributions concerning any use of intelligent techniques to any IoT aspects related to the IoT domain, from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between machine learning, computational intelligence, and IoT. General topics covered in this Special Issue include but are not limited to the following methodologies and IoT applications: Methodologies: Soft computing (e.g., fuzzy logic, rough sets); Neural networks; Neuro-fuzzy systems; Deep learning; Evolutionary and bio-inspired algorithms; Applications: Machine learning and computational intelligence-aided IoT; Intelligent middleware solutions IoT; Brain?computer interface and IoT; IoT and cloud computing; Semantic web of things; Social network IoT; Internet of vehicles; Context awareness; Security and IoT. Antonino Staiano, University of Naples Parthenope, Italy Angelo Ciaramella, University of Naples Parthenope, Italy Guest Editors Deadline for manuscript submissions: 31 December 2019 Manuscript Submission Information ( https://www.mdpi.com/journal/electronics/special_issues/machine_lot) Antonino Staiano Antonino Staiano, PhD Assistant Professor Dept. Science and Technology University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From li.zhaoping at tuebingen.mpg.de Fri Feb 22 16:50:02 2019 From: li.zhaoping at tuebingen.mpg.de (Li Zhaoping) Date: Fri, 22 Feb 2019 16:50:02 -0500 Subject: Connectionists: student/postdoc/RA positions with Li Zhaoping in Tuebingen Germany on experimental/theoretical neuroscience Message-ID: <54982110-399e-5ac6-de98-fdfdf7078322@tuebingen.mpg.de> I am recruiting for students/postdocs/research assitants for my group in Tuebingen, where we work in the University of Tuebingen and in the Max Planck Institute for Biological Cybernetics, seehttps://www.kyb.tuebingen.mpg.de/sensory-and-sensorimotor-systems I will be at COSYNE workshop on March 4-5th, and would be happy to provide additional information, answer questions,? and chat with interested people. Zhaoping -------------- next part -------------- An HTML attachment was scrubbed... URL: From cah369 at nyu.edu Sat Feb 23 23:56:00 2019 From: cah369 at nyu.edu (Catherine Hartley) Date: Sat, 23 Feb 2019 23:56:00 -0500 Subject: Connectionists: RLDM2019 - Abstract submissions due on 3/1 Message-ID: <7ED079AC-2865-4DA7-929E-67CFE8F7C98E@nyu.edu> Dear colleagues, Abstract submissions for RLDM 2019 are due on March 1. Please see the call for papers below for details. Best, Catherine Hartley Michael Littman ====================================================== The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM2019) www.rldm.org July 7-10 2019, McGill University Montr?al, Qu?bec, CANADA ====================================================== Submissions to RLDM2019 are now being accepted at https://cmt3.research.microsoft.com/RLDM2019 Deadline: March 1 2019, 11:59PM PST Notification of Acceptance: 8 April 2019 We invite extended abstracts for contributed poster presentations and oral presentations. We welcome submissions of original research related to ?learning and decision making over time to achieve a goal?, coming from any discipline or disciplines, describing empirical results from human, animal or animat experiments, and/or theoretical work, simulations and modeling. Contributions should be aimed at an interdisciplinary audience, but not at the expense of technical excellence. This is an abstract-based meeting, with no published conference proceedings. As such, work that is intended for, or has been submitted to, other conferences or journals is also welcome, provided that the intent of communication to other disciplines is clear. Submissions should consist of a summary (max 2000 characters; text only), and an extended abstract of between one and four pages (including figures and references). LaTeX and RTF templates, and sample submissions, are available here: http://rldm.org/submit/ Note: Only the summary will be made available in the (electronic) abstract booklets. The extended abstract will be used for reviewing, and will be available online only pending on authors? separate explicit permission. Online availability will have no bearing on the review process and authors are encouraged to include new, unpublished, findings which they do not want to make publicly available. To submit your abstract please go to https://cmt3.research.microsoft.com/RLDM2019 Submissions will be reviewed for relevance to the topic and for quality. Exceptional abstracts will be selected for oral presentations and for poster spotlight presentations. IMPORTANT DATES: Submissions open: now Submissions close: 1 March 2019, 11:59pm PST Notification of acceptance: 8 April 2019 Early registration: 15 May 2019 Meeting: 7-10 July 2019 Montr?al, Qu?bec RLDM2019 Invited Speakers: http://rldm.org/invited-speakers/ To ensure that you receive future announcements about RLDM2019 please join our mailing list at http://tinyurl.com/RLDMlist (you must log in to google to see the ?join list? button, and choose ?all email? from the options at the bottom). From Roderick.Murray-Smith at glasgow.ac.uk Sat Feb 23 15:29:39 2019 From: Roderick.Murray-Smith at glasgow.ac.uk (Roderick Murray-Smith) Date: Sat, 23 Feb 2019 20:29:39 +0000 Subject: Connectionists: Permanent academic position at University of Glasgow Message-ID: We are looking for an outstanding academic who can work in our Information, Data and Analysis Section in areas such as Machine learning, Information Retrieval, Vision and Sensor-based systems and Data Systems. This is part of a call for four posts associated with Autonomous systems. All posts are available at Lecturer or Senior Lecturer/Reader (equivalent to Assistant or Associate Professor), subject to eligibility. Our primary criterion is academic excellence in the areas above. We are especially in academics with a research interest in on topics like: Interpretable/explainable Machine learning, Accountability, Fairness, Confidentiality and Transparency in Information Retrieval, Applications of AI/ML in health, or science, Probabilistic Programming, but we encourage applications from excellent candidates in the general areas as well. The Information, Data and Analysis Section?is led by Professor?Roderick Murray-Smith, and?has 13 academics, and 35 postdoctoral fellows, research assistants and PhD students active in this area.?? IDA section:??https://www.gla.ac.uk/schools/computing/research/researchsections/ida-section/ Vacancy ref:?https://www22.i-grasp.com/fe/tpl_glasgow01.asp?s=4A515F4E5A565B1A&jobid=97138,1234126521&key=205457982&c=14769861876823&pagestamp=seqlycfhczwdvymcbjhttp://online.fliphtml5.com/hjth/jsdv/http://online.fliphtml5.com/hjth/qzdi/ Closing date:? Sunday, 31 March 2019 Interviews (shortlist):?Tuesday, 28 May 2019 Candidates who have delivered a presentation within the School recently may not be required to complete the presentation part of the stage 2 interview.? More details available at: https://www.gla.ac.uk/schools/computing/worldchangerswelcome/ For informal enquiries please contact: Professor Rod Murray-Smith Email:?mailto:Roderick.Murray-Smith at glasgow.ac.uk Professor Roderick Murray-Smith Head of Section, Information, Data and Analysis Section, Inference, Dynamics and Interaction Research Group School of Computing Science University of Glasgow Phone: +44 141 330 4984 Web:?http://www.dcs.gla.ac.uk/~rod An t-Ollamh Ruairidh Murray-Smith Ceannard Roinne, Roinn Fiosrachaidh, D?ta agus Anailis Buidheann Rannsachaidh air Co-dh?nadh, Dinimigeachd agus Eadar-obrachadh Sgoil Saidheans na Coimpiutaireachd Oilthigh Ghlaschu From byronyu at cmu.edu Sat Feb 23 23:15:40 2019 From: byronyu at cmu.edu (Byron Yu) Date: Sat, 23 Feb 2019 23:15:40 -0500 Subject: Connectionists: Statistical Analysis of Neural Data (SAND): Call for Abstracts In-Reply-To: References: Message-ID: The ninth international workshop on Statistical Analysis of Neural Data (SAND9) will take place on May 21-23, 2019, in Pittsburgh, PA. KEY DEADLINES: - March 20: Abstracts for Young Investigator Talks (open to students, postdocs, or assistant professors; talks to be selected by organizing committee) - March 25: Request for travel support (most attendees will receive substantial travel support) - April 15: Abstracts for Contributed Posters Abstract submission and more information can be found on the SAND9 website: http://sand.stat.cmu.edu Confirmed keynote speakers and panelists include: Marlene Cohen, University of Pittsburgh Xue Han, Boston University Tim Harris, Janelia Farm Elizabeth Hillman, Columbia Dion Khodagholy, Columbia Dayu Lin, NYU Dan O'Connor, Johns Hopkins University Bijan Persaran, NYU Spencer Smith, University of California, Santa Barbara Nick Steinmetz, University of Washington Jonathan Viventi, Duke The organizers are Zhe (Sage) Chen, Matthew Harrison, Rob Kass, Sri Sarma, Byron Yu. From kaschube at fias.uni-frankfurt.de Sat Feb 23 11:54:55 2019 From: kaschube at fias.uni-frankfurt.de (Matthias Kaschube) Date: Sat, 23 Feb 2019 17:54:55 +0100 Subject: Connectionists: Professorship (W1, tenure track) in Visual Computing, Frankfurt Message-ID: <663982A5-EA4E-4EF2-B1B8-42E0D3628945@fias.uni-frankfurt.de> The Department of Computer Science and Mathematics of Johann Wolfgang Goethe University Frankfurt am Main invites applications for the following position at the Institute of Computer Science, which is funded by the Tenure Track Programme of the German Federal Government and the Federal States (BLP-TT), starting at the earliest possible date: PROFESSORSHIP (W1, TENURE TRACK) IN VISUAL COMPUTING The initial tenure track appointment as Assistant Professor (civil servant or public employee) is for six years according to ? 64 of the Higher Education Act of the State of Hessen (HHG). Upon positive evaluation, the incumbent will be promoted to a permanent position at a higher level (W2). The invitation to apply aims to reach early-stage researchers. According to ? 64 (3) HHG candidates should not have obtained their PhD at Goethe University Frankfurt or should have worked as a researcher at an external institution for at least two years after their PhD. The doctorate should not date back to more than four years. We are seeking a candidate widely recognized for excellent research in one or several of the research areas Computer Vision, Machine Learning, Scientific Visualization, or Virtual/Augmented/Mixed Reality to complement our current team. We expect the candidate to have finished a doctorate (with grades at least ?very good?, if obtained within Germany) and to possess an excellent track record of scientific publications. The professorship is embedded in the attractive research landscape in Frankfurt within and outside of the university (see http://www.goethe-university-frankfurt.de/en?locale=en). There are intensive collaborations with the Cluster of Excellence Cardio Pulmonary Institute (CPI) and with other research institutions both within and outside of the university. Experience in the acquisition of third-party funded projects is desirable. The successful applicant is expected to cooperate with other research teams and to connect to the research topics of the Institute of Computer Science, the Department and Goethe University. We are looking for a dedicated academic teacher who will be actively involved in our graduate and undergraduate programs. Upon positive tenure evaluation, a substantial participation in the basic courses in programming is expected. Successful candidates will be required to participate in the academic self-government. The designated salary for the position is based on the German university pay scale or equivalent. Goethe University is committed to increasing the proportion of female faculty and therefore especially encourages women to apply. Applications of scientists from abroad are explicitly requested. Severely disabled applicants with equal qualification and aptitude will be given preferential consideration. For further information regarding the general conditions for professorship appointments and the ?BLP-TT?, please see: www.vakante-professuren.uni-frankfurt.de Qualified academics with an internationally recognized record in research are invited to submit their application with curriculum vitae (scientific and professional experience), a list of publications, a record of teaching activities, a draft of three pages at most on present and planned research, a record of actively acquired third-party funding, and certificates and documents in electronic form (as a single pdf-file) to the Dean of the Department of Computer Science and Mathematics, e-mail: bewerbung at fb12.uni-frankfurt.de - until 15 March 2019. For questions on the position, please contact the Executive Director of the Institute of Computer Science, Prof. Dr. Uwe Brinkschulte, e-mail: leitung at informatik.uni-frankfurt.de. From yang at maebashi-it.org Sun Feb 24 02:44:48 2019 From: yang at maebashi-it.org (Yang) Date: Sun, 24 Feb 2019 16:44:48 +0900 Subject: Connectionists: Call for Papers: Web Intelligence 2019 Message-ID: <9498943115074770A113E0BD512B2742@yangPC> [Apologies if you receive this more than once] CALL FOR PAPERS IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) Web Intelligence = AI in the Connected World 14-17 OCTOBER 2019, Thessaloniki, GREECE https://webintelligence2019.com ------------------------------------------------------------------------------- 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 know?ledge, 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 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 format (max 8 pages): 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Mon Feb 25 05:00:29 2019 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Mon, 25 Feb 2019 11:00:29 +0100 Subject: Connectionists: PhD position in computational neuroscience with Prof. Laurenz Wiskott in Bochum, Germany Message-ID: <20190225100029.ji5uwcne4wdvului@garlic> Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open position for a PhD student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ University: The Ruhr-Universit?t Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see https://www.ini.rub.de/research/groups/theory_of_neural_systems/ Research topics: We are looking for an outstanding candidate who will be working on a system-level model of spatial navigation with the hippocampus as one of its central areas. We use methods from neural networks and machine learning. It is also planned to simulate experiments done with rat and/or mice by our experimental partners. The position is part of a joint team with Prof. Sen Cheng working on developing a system-level model of hippocampal function for memory and navigation. This is being done in close interaction with a team working on similar questions from the machine learning perspective. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The appointment will be for three years and can then be extended for one more year if needed. Anticipated starting date is May 15th. Requirements: Candidates should have an education (equivalent to a MSc) in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills (ideally in python) as well as the ability to communicate and work well in a team. Salary: Salary is 75% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott . Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to Prof. Laurenz Wiskott . Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged. From eneftci at uci.edu Mon Feb 25 07:56:10 2019 From: eneftci at uci.edu (Emre Neftci) Date: Mon, 25 Feb 2019 07:56:10 -0500 Subject: Connectionists: =?utf-8?q?_Application_Open_for_Participation_in_?= =?utf-8?q?2019_Telluride_Neuromorphic_Cognition_Engineering?= Message-ID: Dear all, We are accepting applications to the 2019 Telluride Neuromorphic Cognition Engineering Workshop. The Workshop has been running for over 20 years, and has been influential in shaping the field of neuromorphic engineering and serving as a forum connecting across disciplines such as artificial intelligence, neuroscience, cognitive science, machine learning, robotics, computer vision, signal processing, and electrical engineering. The theme of the 2019 workshop will be on Embodied Learning and Intelligence. The four topic areas for this year's workshop are: 1. Understanding the auditory brain with neural networks. 2. Machine common sense: 3. Controlling dynamical systems. 4. Neuromorphic systems for high speed sensorimotor integration, cognitive planning and control. Details of this year?s workshop can be found at (https://sites.google.com/view/telluride2019/home). Instructions for applications can be found at (https://sites.google.com/view/telluride2019/apply/apply-to-participate). Important Dates: - Application Website Open - 28th Jan, 2019 - Application Close - 29th March, 2019 - Notification of Acceptance - 15th April, 2019 Best Telluride Organizing Team -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/), Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100 From haim.dub at gmail.com Mon Feb 25 04:35:52 2019 From: haim.dub at gmail.com (dubossarsky haim) Date: Mon, 25 Feb 2019 09:35:52 +0000 Subject: Connectionists: 2nd CfP: Typology for Polyglot NLP - a workshop @ ACL2019 Message-ID: [Apologies for x-posting] Second Call for Abstracts ======================== Typology for Polyglot NLP (TyP-NLP), a workshop to be held at the 2019 meeting of the Association for Computational Linguistics (ACL) in Florence, Italy, is now accepting submissions. Contact Email: typology-and-nlp at googlegroups.com Website: typology-and-nlp.github.io Workshop description ==================== The huge diversity of human languages leads to an inherent variation of the cross-lingual data with respect to the categories and structures in the languages? surface level. This results in poor performances of NLP algorithms when trying to transfer between languages. Linguistic typology provides a systematic, empirical comparison of the languages of the world with respect to a variety of linguistic properties, and therefore holds promise to solve this problem. However, typological information has not yet been fully exploited. Our workshop aims at bridging this gap by encouraging a tighter collaboration of the scientific communities from the areas of linguistic typology and multilingual NLP. TyP-NLP workshop is the first dedicated venue for typology-related research and its integration in multilingual NLP. The workshop is specifically aimed at raising awareness of linguistic typology and its potential in supporting and widening the global reach multilingual NLP. The topics of the workshop will include, but are not limited to: - **Language-independence in training, architecture design, and hyperparameter tuning.** Is it possible (and if yes, how) to unravel unknown biases that hinder the cross-lingual performance of NLP algorithms and to leverage the knowledge on such biases in NLP algorithms? - **Integration of typological features in language transfer and joint multilingual learning.** In addition to established techniques such as ?selective sharing?, are there alternative ways to encoding heterogeneous external knowledge in machine learning algorithms? - **New applications.** The application of typology to currently uncharted territories, i.e. the use of typological information in NLP tasks where such information has not been investigated yet. - **Automatic inference of typological features.** The pros and cons of existing techniques (e.g. heuristics derived from morphosyntactic annotation, propagation from features of other languages, supervised Bayesian and neural models) and discussion on emerging ones. - **Typology and interpretability.** The use of typological knowledge for interpretation of hidden representations of multilingual neural models, multilingual data generation and selection, and typological annotation of texts. - **Improvement and completion of typological databases.** Combining linguistic knowledge and automatic data-driven methods towards the joint goal of improving the knowledge on cross-linguistic variation and universals. Important Dates =============== - Submission Deadline: Friday, April 26, 2019 - Notification of Acceptance: Friday, May 24, 2019 - Camera-ready copy due from authors: Monday, June 3, 2019 - Workshop: Thursday, August 1, 2019 Submission Type =============== We accept **extended abstracts**. These may report on work in progress or may be cross submissions that have already appeared in a non-NLP venue. The extended abstracts are of maximum 2 pages + references. These submissions are non-archival in order to allow submission to another venue. The selection will not be based on a double-blind review and thus submissions of this type need not be anonymized. The abstracts should use ACL 2019 templates. These should be submitted via softconf: https://www.softconf.com/acl2019/typnlp/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Maximilian.Scherer at uni-tuebingen.de Mon Feb 25 06:31:16 2019 From: Maximilian.Scherer at uni-tuebingen.de (Maximilian Scherer) Date: Mon, 25 Feb 2019 12:31:16 +0100 Subject: Connectionists: =?utf-8?q?PhD/Postdoc_positions_in_neuroscience?= =?utf-8?q?=2C_T=C3=BCbingen_=28Professor_Alireza_Gharabaghi=29?= Message-ID: <91d16a91-0bcb-b59f-4cdd-ed3ec50513d0@uni-tuebingen.de> Division for Functional and Restorative Neurosurgery (Head: Prof. Dr. A. Gharabaghi) Tuebingen Neuro Campus University of Tuebingen, Germany Position: Postdoc/ PhD student Duration: 3 years Starting: as soon as possible Deadline for submission: 15.03.2019 Are you driven by the desire to enhance the understanding of the human brain and develop new therapies for neuropsychiatric disorders? United by this vision, our multi-disciplinary team studies the human brain in-vivo with invasive and non-invasive electrophysiological recordings while investigating the mechanisms of action of various neuromodulatory interventions at the local and network level. We offer several positions to candidates with a background in neuroscience, computer science, mathematics, data analysis, signal processing or related fields. What you can expect * The opportunity to acquire and analyze data recorded from within the human brain. * Opportunities to travel nationally and internationally to present your findings. * Expert support for your analyses with a broad range of pre-built analysis toolkits, and assistance with designing your own tools. * A 3-year contract, third-party-funded in accordance with the German public service collective agreement pay scale and your previous experience. Qualifications * Sound knowledge in statistical data analysis and strong programming skills. * Master?s degree or PhD in neuroscience, computer science, mathematics, data analysis, signal processing or related fields. How to apply: * Please send your application electronically to _tanja.mathis at med.uni-tuebingen.de _(only pdf-files; only German/English applications) * Motivational letter including CV, TOEFL scores or other evidence of English and/or German proficiency -- Maximilian Scherer PhD Student Room 104 Functional and Restorative Neurosurgery Neurosurgical University Hospital Eberhard Karls University Tuebingen Otfried-Mueller-Str.45 72076 Tuebingen -------------- next part -------------- An HTML attachment was scrubbed... URL: From ogergo at brandeis.edu Mon Feb 25 04:46:06 2019 From: ogergo at brandeis.edu (Gergo Orban) Date: Mon, 25 Feb 2019 10:46:06 +0100 Subject: Connectionists: Reminder: XI. Dubrovnik Conference on Cognitive Science - Computational Rationality Message-ID: Dear all, This is a reminder that the deadline is approaching for submitting abstracts for the XI. Dubrovnik Conference on Cognitive Science, which is devoted to the topic of Computational Rationality. The conference will take place between 23-25 May 2019 in Dubrovnik, Croatia. You may submit your poster abstract here: http://www.cecog.eu/ducog/page_submission.php Our invited speakers are: Ulrike Hahn (Birkbeck, University of London, UK) Quentin Huys (Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK) Julian Jara-Ettinger (Yale University, USA) M?t? Lengyel (University of Cambridge, UK, and Central European University, Hungary) Azzurra Ruggeri (Max Planck Institute for Human Development, Berlin, Germany) Laura Schulz (MIT, USA) Deadline for poster abstract submission is 28 February 2019. Authors will be notified of acceptance of their abstracts by 15 March 2019. For more information please visit: http://www.cecog.eu/ducog/page_invitation.php or email us: ducog at cogsci.bme.hu On behalf of the organisers, Oana Stanciu Gerg? Orb?n Programme chairs -------------- next part -------------- An HTML attachment was scrubbed... URL: From H.Bowman at kent.ac.uk Mon Feb 25 10:07:54 2019 From: H.Bowman at kent.ac.uk (Howard Bowman) Date: Mon, 25 Feb 2019 15:07:54 -0000 Subject: Connectionists: PhD Available: Predicting Recovery from Stroke with Machine Learning Message-ID: <016701d4cd1b$e3fb8630$abf29290$@kent.ac.uk> PhD Available: Predicting Recovery from Stroke with Machine Learning Professor Howard Bowman (University of Kent and University of Birmingham) is looking to take on a PhD student to work on interpretable machine learning applied to data acquired from stroke patients (https://www.ucl.ac.uk/ploras/). This work will be with Professor Cathy Price (Wellcome Centre for Human Neuroimaging, UCL), whose (PLORAS) team has collected one of the largest data sets of stroke patients (greater than 1,000), including structural MRI scans, behaviour and demographics. A key focus of Cathy Price's work is to predict the recovery trajectory of stroke patients from their structural MRI scans, particularly patients with language deficits (i.e. that are aphasic). Progress has been made on this using traditional and now deep learning methods. Critical to clinical uptake of machine learning in this area is the ability to interpret the predictions it provides in a fashion that can be communicated to clinicians, patients and carers. We seek to appoint a PhD student to work on this topic, using methods such as neural-symbolic techniques. The student will be located in the School of Computing at the University of Kent, but will regularly visit and work closely with Cathy Price's team at the Wellcome Centre for Human Neuroimaging. Expertise in machine learning will be provided by Dr Thomas Hope (Wellcome Centre for Human Neuroimaging, UCL) and Dr Marek Grzes (School of Computing, University of Kent). The PhD being advertised will be one of a tranche of scholarships available in the School of Computing at the University of Kent at Canterbury. These will be competitively allocated across a range of topics. To be eligible for these scholarships, please contact Howard Bowman (H.Bowman at kent.ac.uk) before 31st March 2019. Relevant articles: Besold, T. R., Garcez, A. D. A., Bader, S., Bowman, H., Domingos, P., Hitzler, P., ... & de Penning, L. (2017). Neural-symbolic learning and reasoning: A survey and interpretation. arXiv preprint arXiv:1711.03902. Hope, T. M., Seghier, M. L., Leff, A. P., & Price, C. J. (2013). Predicting outcome and recovery after stroke with lesions extracted from MRI images. NeuroImage: clinical, 2, 424-433. Seghier, M. L., Patel, E., Prejawa, S., Ramsden, S., Selmer, A., Lim, L., ... & Price, C.J. (2016). The PLORAS database: a data repository for predicting language outcome and recovery after stroke. Neuroimage, 124, 1208-1212. -------------- next part -------------- An HTML attachment was scrubbed... URL: From sepand.haghighi at yahoo.com Mon Feb 25 10:52:07 2019 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Mon, 25 Feb 2019 15:52:07 +0000 (UTC) Subject: Connectionists: PyCM 1.9 released: Machine learning library for confusion matrix statistical analysis References: <1993106834.4684050.1551109927107.ref@mail.yahoo.com> Message-ID: <1993106834.4684050.1551109927107@mail.yahoo.com> https://github.com/sepandhaghighi/pycmhttp://www.pycm.ir In this version we added a new parameter recommender system for different types of classification. Changelog : - Automatic/Manual (AM) added?#144 - Bray-Curtis dissimilarity (BCD) added?#143 - CODE_OF_CONDUCT.md?added?#151 - ISSUE_TEMPLATE.md?added?#156 - PULL_REQUEST_TEMPLATE.md?added?#156 - CONTRIBUTING.md?added?#155 - X11 color names support for?save_html?method added?#146 - Parameters recommendation system added?#112 - Warning message for high dimension matrix print added?#120 - Interactive notebooks section (binder) added?#142 - save_matrix?and?normalize?arguments added to?save_csv?method?#120 - README.md?modified - Document modified?#149?#164 - ConfusionMatrix.__init__?optimized?#145 - Document and examples output files moved to different folders?#149 - Test system modified?#138 - relabel?method bug fixed?#167 Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.chrupala at uvt.nl Mon Feb 25 13:54:50 2019 From: g.chrupala at uvt.nl (=?UTF-8?Q?Grzegorz_Chrupa=C5=82a?=) Date: Mon, 25 Feb 2019 19:54:50 +0100 Subject: Connectionists: Postdoctoral position in multi-task learning for visually-grounded spoken language (Tilburg University) In-Reply-To: References: Message-ID: TL;DR - Two-year postdoc position on a project combining speech, vision and NLP - Hosted at Tilburg University in collaboration with the Dutch e-Science Center - Apply by March 31 2019 at: http://bit.ly/2tCaGKp Details The department of Cognitive Science and Artificial Intelligence, Tilburg University, invites applications for a postdoctoral position on a two-year project in collaboration with the Dutch e-Science Center. The candidate will carry out research on applying multi-task learning techniques to understanding spoken language based on visual and other auxiliary signals. This project will combine ideas, methods and data from Natural Language Processing, Speech Recognition and Computer Vision. Requirements - PhD degree in computational linguistics, machine learning, speech and audio processing, or a related field. - Interest in and ability to carry out internationally competitive research, demonstrated by publications in top conferences and journals. - Experience with deep learning models and toolkits (such as Pytorch or Tensorflow). What we offer - A full-time position for two years. - The position will be ranked in the Dutch university job ranking system (UFO) as researcher. The starting gross salary for a full-time appointment is (minimally) ?3,389 in scale 10 up to (maximally) ?3,773 gross per month (maximum ?45,276 per year). - A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually). - Tilburg University is one of the best non-profit employers in the Netherlands and offers very good fringe benefits such as an options model for terms and conditions of employment and reimbursement of moving expenses, also including excellent technical infrastructure, savings schemes and excellent sport facilities. The collective labor agreement of the Dutch Universities applies. - Researchers from outside the Netherlands may qualify for a temporary tax-free allowance equal to 30% of their taxable salary. The University will apply for such an allowance on their behalf. - The University will provide assistance in finding suitable accommodation (for foreign employees). Starting date The start of the employment is negotiable, but preferably close to May 1, 2019. Department The selected candidate will be hosted at the department of Cognitive Science and Artificial Intelligence at Tilburg University. The department emphasizes innovative research spanning a wide array of fields including computational linguistics and language technology, data-science, human-robot interaction, virtual reality and serious games. CSAI is a member of the Benelux Association for Artificial Intelligence, participate in the Special Interest Group for AI (SIG AI), and participate in the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Tilburg University and the CSAI department offers a vibrant international environment, with current CSAI staff originating from over 10 countries. The candidate will work with Grzegorz Chrupa?a (assistant professor at Tilburg University, project PI), Afra Alishahi (associate professor at Tilburg University) and an engineer at the Dutch e-Science Center. Information For more information on this position, please contact the principal investigator: Grzegorz Chrupa?a (g.chrupala at tilburguniversity.edu) Application Applications can only be submitted through the Tilburg University application website (http://bit.ly/2tCaGKp), and should include: - A complete CV, including a list of publications. - Cover letter (maximum one page) explaining your interest in this project. - Contact details of two references. - Copy of two publications that you would like us to consider as part of the evaluation. The final deadline for the application is on March 31 2019 at 23:59 CET, but we will be reviewing applications as they arrive. Recruitment code Tilburg University applies the recruitment code of the Dutch Association for Personnel Management & Organization Development (NVP). -- Grzegorz Chrupa?a Department of Cognitive Science and Artificial Intelligence Tilburg University PO Box 90153 5000 LE Tilburg The Netherlands Twitter: @gchrupala Web: grzegorz.chrupala.me Phone: +31 13 466 8020 Email: g.chrupala at uvt.nl From j.davidgriffiths at gmail.com Mon Feb 25 11:28:39 2019 From: j.davidgriffiths at gmail.com (John Griffiths) Date: Mon, 25 Feb 2019 11:28:39 -0500 Subject: Connectionists: Post-Doctoral Fellowship in Whole Brain Modelling Message-ID: Post-Doctoral Fellowship in Whole Brain Modelling The Whole Brain Modelling Group (PI Dr. John Griffiths; www.grifflab.com) at the Krembil Centre for Neuroinformatics, Toronto, is looking to hire a Post-Doctoral Fellow with a strong background in computational neuroscience and/or neuroimaging. The successful candidate shall spearhead the group's efforts in computational modelling of large-scale brain dynamics, with a particular focus on brain stimulation (TMS, TDCS), EEG, neural plasticity, and macro-connectomics. The fellow will have the opportunity to shape the details of the project based on their specific interests, as well as to contribute to other ongoing projects on a range of topics, including: neuroinformatics of whole-brain modelling, mapping and modelling anatomical connectivity and microstructure with DWI in relation to ageing and stroke, and multi-scale modelling of the thalamocortical system in relation to sleep, pharmacological neuromodulation, and neuropsychiatric disease. The successful candidate will have a PhD in neuroscience, engineering, physics, psychology, or related area, a track record for independent research, and a strong publication record. Strong programming skills and familiarity with neuroimaging data analysis (s/d/fMRI and/or M/EEG) are required; experience with computational modelling using numerical simulations (particularly modelling of neural population activity with mean-field/neural mass/neural field techniques) would be advantageous. Full details of the position and application instructions can be found at www.grifflab.com/positions/ For informal inquiries, please email Dr. John Griffiths at john.griffiths at camh.ca with the title ?Post-Doctoral Fellowship in Whole Brain Modelling? in the subject line. -- Dr. John D. Griffiths Independent Scientist @ Krembil Centre for Neuroinformatics, CAMH, Toronto Assistant Professor @ Department of Psychiatry, University of Toronto www.grifflab.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Sun Feb 24 16:10:47 2019 From: irina.illina at loria.fr (Irina Illina) Date: Sun, 24 Feb 2019 22:10:47 +0100 (CET) Subject: Connectionists: Research engineer or post-doc position in Natural Language Processing: Introduction of semantic information in a speech recognition system Message-ID: <1715706256.5868239.1551042647499.JavaMail.zimbra@loria.fr> Research engineer or post-doc position in Natural Language Processing: Introduction of semantic information in a speech recognition system Supervisors: Irina Illina, MdC, Dominique Fohr, CR CNRS Team: Multispeech, LORIA-INRIA (https://team.inria.fr/multispeech/) Contact: illina at loria.fr, dominique.fohr at loria.fr Duration: 12-15 months Deadline to apply : March 15th, 2019 Required skills: Strong background in mathematics, machine learning (DNN), statistics, natural language processing and computer program skills (Perl, Python). Following profiles are welcome, either: ? Strong background in signal processing or ? Strong experience with natural language processing Excellent English writing and speaking skills are required in any case. Candidates should email a detailed CV with diploma LORIA is the French acronym for the ?Lorraine Research Laboratory in Computer Science and its Applications? and is a research unit (UMR 7503), common to CNRS, the University of Lorraine and INRIA. This unit was officially created in 1997. Loria?s missions mainly deal with fundamental and applied research in computer sciences. MULTISPEECH is a joint research team between the Universit? of Lorraine, Inria, and CNRS. Its research focuses on speech processing, with particular emphasis to multisource (source separation, robust speech recognition), multilingual (computer assisted language learning), and multimodal aspects (audiovisual synthesis). Context and objectives Under noisy conditions, audio acquisition is one of the toughest challenges to have a successful automatic speech recognition (ASR). Much of the success relies on the ability to attenuate ambient noise in the signal and to take it into account in the acoustic model used by the ASR. Our DNN (Deep Neural Network) denoising system and our approach to exploiting uncertainties have shown their combined effectiveness against noisy speech. The ASR stage will be supplemented by a semantic analysis. Predictive representations using continuous vectors have been shown to capture the semantic characteristics of words and their context, and to overcome representations based on counting words. Semantic analysis will be performed by combining predictive representations using continuous vectors and uncertainty on denoising. This combination will be done by the rescoring component. All our models will be based on the powerful technologies of DNN. The performances of the various modules will be evaluated on artificially noisy speech signals and on real noisy data. At the end, a demonstrator, integrating all the modules, will be set up. Main activities ? study and implementation of a noisy speech enhancement module and a propagation of uncertainty module; ? design a semantic analysis module; ? design a module taking into account the semantic and uncertainty information. References [Nathwani et al., 2018] Nathwani, K., Vincent, E., and Illina, I. DNN uncertainty propagation using GMM-derived uncertainty features for noise robust ASR, IEEE Signal Processing Letters, 2018. [Nathwani et al., 2017] Nathwani, K., Vincent, E., and Illina, I. Consistent DNN uncertainty training and decoding for robust ASR, in Proc. IEEE Automatic Speech Recognition and Understanding Workshop, 2017. [Nugraha et al., 2016] Nugraha, A., Liutkus, A., Vincent E. Multichannel audio source separation with deep neural networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2016. [Sheikh, 2016] Sheikh, I. Exploitation du contexte s?mantique pour am?liorer la reconnaissance des noms propres dans les documents audio diachroniques?, These de doctorat en Informatique, Universit? de Lorraine, 2016. [Sheikh et al., 2016] Sheikh, I. Illina, I. Fohr, D. Linares, G. Learning word importance with the neural bag-of-words model, in Proc. ACL Representation Learning for NLP (Repl4NLP) Workshop, Aug 2016. [Mikolov et al., 2013a] Mikolov, T. Chen, K., Corrado, G., and Dean, J. Efficient estimation of word representations in vector space, CoRR, vol. abs/1301.3781, 2013. Associate Professor Lorraine University LORIA-INRIA office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de Tue Feb 26 04:21:52 2019 From: malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de (Vinita Samarasinghe) Date: Tue, 26 Feb 2019 10:21:52 +0100 Subject: Connectionists: Postdoctoral Position in Computational Neuroscience Message-ID: <93bf7f1d-a6e3-20c1-8588-333b39c46704@ini.ruhr-uni-bochum.de> Prof. Sen Cheng, Institute for Neuroinformatics at Ruhr University Bochum, invites applications for a full-time position of *Postdoctoral Scholar (TV-L E13) in Computational Neuroscience. *The position starts on 1st July 2019 and is funded for *3 years*. This project is part of the newly established DFG research unit 2812 ?Constructing Scenarios of the Past: A New Framework in Episodic Memory? at the Ruhr University Bochum and the Westf?lische Wilhelms University M?nster. The research unit will study the cognitive and neuronal mechanisms underlying the constructed scenarios that make up episodic memory. It will employ and combine approaches from Philosophy, Psychology as well as Experimental and Computational Neuroscience. Further information about the project can be found at www.rub.de/cns . *Job description* The successful candidate will model the function of episodic memory in inference and prediction using abstract computational models. This project strives to find answers to the questions: * Why are specific experiences stored in episodic memory helpful for predicting the future? * Why can general, or semantic, information not serve the same purpose? *Your Profile: * Candidates should hold a PhD in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling or machine learning, and excellent programming skills are mandatory. In addition, relevant research experience in neuroscience or a related field is required. Experience in the study of episodic memory and in working within a collaborative research group would be a further asset. Candidates should have excellent communication skills in English and the ability to work well in a team. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. For further information see www.rub.de/cns . Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe at ini.rub.de . In addition, at least two academic references may be sent independently to the above email address. The deadline for applications is 15.03.2019. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Universit?tstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe at ini.rub.de Hours: Mon. - Fri. 8-11 -------------- next part -------------- An HTML attachment was scrubbed... URL: From M.Baltieri at sussex.ac.uk Mon Feb 25 17:24:00 2019 From: M.Baltieri at sussex.ac.uk (Manuel Baltieri) Date: Mon, 25 Feb 2019 23:24:00 +0100 Subject: Connectionists: CfP, Special session - Hybrid Life II, ALife 2019 References: <736A9B16-033F-462F-8202-18B33F3A10EA@sussex.ac.uk> Message-ID: <2C7CD73A-4024-4210-B137-4E7679B2D4AE@sussex.ac.uk> [Apologies for cross-posting] ********** Call for Papers ********** Special session - Hybrid Life II: Approaches to integrate biological, artificial and cognitive systems https://sites.google.com/view/hybrid-life-ii/ 2019 Artificial Life conference (ALife) Newcastle, UK, 29 July - 3 August 2019 - http://2019.alife.org/ --------------------------------------------------------------------------------------------- DESCRIPTION: The main focus of ALife research is the study of natural systems with the goal of understanding what life is. More concretely, ALife defines ways to investigate processes that contribute to the formation and proliferation of living organisms. In this session we focus on three common approaches to tackle this investigation, proposing ways to integrate, extend and possibly improve them. More specifically we refer to: 1) the formalisation of the necessary properties for the definition of life, 2) the implementation of artificial agents, and 3) the study of the relation between life and cognition. For this special session we propose to start from these well-established Alife methodologies, and extend them through: a unified formal language for the description and modelling of living, as well as artificial and cognitive systems, e.g. control theory, Bayesian inference, dynamical systems theory, etc., the exploration of biological creatures enhanced by artificial systems (or artificial systems augmented with organic parts) in order to investigate the boundaries between living and nonliving organisms, and the evaluation of coupled biological-artificial systems that could shed light on the importance of interactions among systems for the study of living and cognitive organisms. This special sessions aims to invite contributions from the fields of psychology, computational neuroscience, HCI, theoretical biology, artificial intelligence, robotics and cognitive science to discuss current research on the formalisation, combination and interaction of artificial/living/cognitive systems from theoretical, modelling and implementational perspectives. Potential topics include, but are not limited to: Formalisation of life and cognition (e.g. dynamical systems theory, stochastic optimal control, Bayesian inference, etc.) Cognitive robotics Autopoiesis Life-mind continuity thesis Systems biology Origins-of-life theories with relationships to artificial and cognitive systems Animal-robot interaction Bio-inspired robotics Bio-integrated robotics Human-machine interaction Augmented cognition Sensory substitution Interactive evolutionary computation Artificial perception Important Dates 8th March 2019 ? Paper submission deadline 24th April 2019 ? Paper acceptance notification 24th May 2019 ? Camera-ready version 29th July - 3rd August 2019 ? Artificial Life conference (ALife), Newcastle, UK Paper Submission Papers and abstracts submitted to this special sessions will be reviewed by a selected group of experts from the a-life community as well as from other areas key to our proposal, specifically chosen for this review process. If you are submitting to a special session you will be given the opportunity to select it during the submission process. Submissions to special sessions follow the same format, instructions and deadlines of regular ALife papers. Organizers Manuel Baltieri, University of Sussex, Brighton, UK Keisuke Suzuki, University of Sussex, Brighton, UK Hiryuki IIzuka, Hokkaido University, Sapporo, Japan Olaf Witkowski, Earth-Life Science Institute - Tokyo Institute of Technology, Tokyo, Japan Contacts For questions, enquiries and more information please check our website https://sites.google.com/view/hybrid-life-ii/ or get in touch with m.baltieri at sussex.ac.uk . All the best, -- Manuel Baltieri PhD Candidate, EASy group, Sussex Neuroscience, Department of Informatics, University of Sussex, UK Twitter: @manuelbaltieri -------------- next part -------------- An HTML attachment was scrubbed... URL: From manuel.lopes at tecnico.ulisboa.pt Mon Feb 25 09:18:26 2019 From: manuel.lopes at tecnico.ulisboa.pt (Manuel Lopes) Date: Mon, 25 Feb 2019 14:18:26 +0000 Subject: Connectionists: Post-Doc Position : INFOCOS: Intelligent Feedback Inteligente For Happy Students In-Reply-To: References: Message-ID: <005c637dbaaf3456b1ae07c8fd99bc15@tecnico.ulisboa.pt> Currently there is a PostDoc position opening (30 months). Candidates with interest in SW analysis, formal methods, or machine-learning are particularly welcome. The PostDoc will work on the development of a new generation of tools for computer-aided education. The objective is to develop methods to improve automated feedback that would help the student to make progress even without the help of a lecturer. The development will be based in Formal Methods (FM) and should contribute to state-of-the-art in FM as well as other fields. The workplace will be INESC-ID ? a research institute associated with Instituto Superior T?cnico, U. de Lisboa, Portugal. For more information, email directly to mikolas DOT janota AT gmail DOT com http://www.eracareers.pt/opportunities/index.aspx?task=showAnuncioOportunities&jobId=110829&idc=1 From macke at tum.de Mon Feb 25 07:50:43 2019 From: macke at tum.de (Macke, Jakob) Date: Mon, 25 Feb 2019 12:50:43 +0000 Subject: Connectionists: Masters in Neuroengineering at TU Munich Message-ID: Dear colleagues, we are accepting applications for the Masters of Science in Neuroengineering (MSNE) at TU Munich. The ENB Elite Master of Science program in Neuroengineering (MSNE) at the Technische Universit?t M?nchen (TUM) is a two-year graduate program, with an optional Research Excellence Certificate, hosted by the Department of Electrical and Computer Engineering and the Center of Competence on Neuroengineering. Neuroengineering is an emerging interdisciplinary field that aims to translate findings in neuroscience to engineering applications, and to provide engineering solutions for neuroscience research. MSNE provides research-oriented, interdisciplinary and international training in this novel research field, combing experimental and theoretical neuroscience with fundamental training in engineering. Funding by the Elite Network Bavaria is making it possible to ensure small class-sizes, to provide individual mentoring to students, and to emphasize hands-on, research-oriented courses. Core courses in Systems- and Computational Neuroscience, Neural Recording and Interface-Technologies, Neuro-Inspired Engineering, Data-Analysis, Signal Processing and Machine Learning, are supplemented by mentor-approved electives, hands-on practicals, research internships (both in TUM and abroad), early-career training for independent research, and awareness of ethical aspects of Neuroengineering. Final deadline for applications is May 31, 2019. Applications will be reviewed on a ?rolling? basis, and we encourage interested students to apply as soon as possible. Detailed information can be found on www.msne.ei.tum.de, and enquiries should be directed to msne at ei.tum.de. Best regards, Jakob Macke ? Prof. Dr. rer. nat. Jakob Macke Technical University of Munich Department of Electrical and Computer Engineering Professorship for Computational Neuroengineering macke at tum.de www.cne.ei.tum.de +49 89 289 26902 Office: Alexandra Petelski Alexandra.Petelski at tum.de Tel.: +49 (0)89 - 289 26900 Fax: +49 (0)89 - 289 26901 From yang at maebashi-it.org Sun Feb 24 02:37:16 2019 From: yang at maebashi-it.org (Yang) Date: Sun, 24 Feb 2019 16:37:16 +0900 Subject: Connectionists: Call for Papers: Brain Informatics 2019 Message-ID: <7C20C84BDEF543D89B7BFED806C75448@yangPC> [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 judith at mypajudith.com Mon Feb 25 09:27:29 2019 From: judith at mypajudith.com (MyPAJudith) Date: Mon, 25 Feb 2019 15:27:29 +0100 Subject: Connectionists: SUBMISSION DEADLINE: TOMORROW, 26 FEB: Job Opportunity: Postdoc position in Computational Neuroscience Lab, Imperial College London Message-ID: Postdoc position in Computational Neuroscience in the Clopath lab. ----------------------------------------------------- Computational Neuroscience Laboratory Headed by Dr. Claudia Clopath Department of Bioengineering Imperial College London -----------------Requirements:----------------- The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented Postdoc, interested in working in the field of computational neuroscience, specifically addressing questions of learning and memory. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), programing skills, and a keen interest in biological and neural systems. A PhD in the field of computational neuroscience is a plus. -----------------Research topic:----------------- Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The Postdoc candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in neural networks. ----------------- The lab:----------------------- The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/ ----------------- How to apply:----------------- Candidates should send a single pdf file, consisting of a 1-page motivation letter and CV (including publication list) to judith at mypajudith.com, with the subject containing 'Postdoc_Clopath_2019'. In addition, candidates should organize two letters of reference to be sent to clopathlab.imperial at gmail.com, with the subject containing 'Postdoc_Clopath_2018'. The deadline is Feb 26th 2019. Judith Keys VA Email: judith at mypajudith.com Linkedin: https://www.linkedin.com/in/judithkeys Working days: Tuesday, Wednesday, and Friday -------------- next part -------------- An HTML attachment was scrubbed... URL: From D.hupkes at uva.nl Mon Feb 25 11:16:34 2019 From: D.hupkes at uva.nl (Dieuwke Hupkes) Date: Mon, 25 Feb 2019 17:16:34 +0100 Subject: Connectionists: 2nd CALL FOR PAPERS Message-ID: 2nd CALL FOR PAPERS BlackboxNLP 2019: Analyzing and interpreting neural networks for NLP -- ACL 2019 Workshop ACL, Florence, Italy Conference website: http://www.acl2019.org Workshop website: https://blackboxnlp.github.io/ Submission deadline: April 19 ************************************************************************************************ UPDATES (February 22, 2019): - Invited speakers - Travel grants ************************************************************************************************ ================================================================ Neural networks have rapidly become a central component in NLP systems in the last few years. The improvement in accuracy and performance brought by the introduction of neural networks has typically come at the cost of our understanding of the system: How do we assess what the representations and computations are that the network learns? The goal of this workshop is to bring together people who are attempting to peek inside the neural network black box, taking inspiration from machine learning, psychology, linguistics, and neuroscience. The topics of the workshop will include, but are not limited to: - Applying analysis techniques from neuroscience to analyze high-dimensional vector representations (such as Haxby et al., 2001; Kriegeskorte, 2008) in artificial neural networks; - Analyzing the network's response to strategically chosen inputs in order to infer the linguistic generalizations that the network has acquired (e.g., Linzen et al., 2016; Loula et al., 2018); - Examining the performance of the network on simplified or formal languages (e.g., Hupkes et al., 2018; Lake et al., 2018); - Proposing modifications to neural network architectures that can make them more interpretable (e.g., Palanki et al., 2017); - Scaling up neural network analysis techniques developed in the connectionist literature in the 1990s (Elman, 1991); - Testing whether interpretable information can be decoded from intermediate representations (e.g., Adi et al., 2017; Chrupa?a et al., 2017; Hupkes et al., 2017); - Translating insights on neural networks interpretation from the vision domain (e.g., Zeiler & Fergus, 2014) to language. - Explaining model predictions (e.g., Lei et al., 2016; Alvarez-Melis & Jaakkola, 2017): What are ways to explain specific decisions made by neural networks? - Adversarial examples in NLP (e.g., Ebrahimi et al., 2018; Belinkov & Bisk, 2018): How to generate them and how to evaluate their quality? - Open-source tools for analyzing neural networks in NLP (e.g., Strobelt et al., 2018; Rikters, 2018). - Evaluation of analysis results: How do we know that the analysis is valid? BlackboxNLP 2019 is the second BlackboxNLP workshop. The programme and proceedings of the previous edition, which was held at EMNLP 2018, can be found here: https://blackboxnlp.github.io/2018/. =========================================================== Invited speakers: We?re happy to announce two exciting invited speakers: Arianna Bisazza from Leiden University and Ari Morcos from Facebook AI Research. =========================================================== We call for two types of papers: - Archival papers. These are papers reporting on completed, original and unpublished research, with maximum length of 8 pages + references. Papers shorter than this maximum are also welcome. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should report on obtained results rather than intended work. These papers will undergo double-blind peer-review, and should thus be anonymized. Archival papers will be included in the workshop proceedings and the ACL anthology. - 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. Abstracts will be posted on the workshop website but will not be included in the proceedings. Accepted submissions will be presented at the workshop: most as posters, some as oral presentations (determined by the program committee). Submission information: - Submissions should follow the official ACL 2019 style guidelines. - Submissions should be made through the Sonftconf START system: https://www.softconf.com/acl2019/blackboxnlp. ================================================================ Important dates: April 19 - Submission deadline May 17 - Notification of acceptance June 3 - Camera ready deadline August 1 - Workshop Note: All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). =========================================================== Travel grants: The workshop will offer a limited number of travel grants to qualifying students. Information regarding applying for these grants will appear on the workshop website. The travel grants are offered thanks to generous sponsorship from Google and Microsoft. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mary.heinrich at uni-luebeck.de Tue Feb 26 08:41:03 2019 From: mary.heinrich at uni-luebeck.de (Mary Katherine Heinrich) Date: Tue, 26 Feb 2019 13:41:03 +0000 Subject: Connectionists: Deadline Extended to March 15 - SOCO 2019 - 3rd Int. Workshop on Self-Organised Construction, IEEE FAS* Message-ID: <9339CD7B344B0E448B3062317062228C36EE41C2@DAG01.uni-luebeck.de> Apologies for any cross-postings or other duplication. The SOCO 2019 submission deadline is extended to March 15, 2019. 3rd International Workshop on Self-Organised Construction (SOCO) (Int. Workshops on Foundations and Applications of Self-* Systems of the SASO and ICAC conferences, FAS*) Are you working on construction or self-assembly, for example, with robots, cyber-physical systems, agents, or social insects? The SOCO workshop gathers short papers focusing on self-organising strategies to build architecture and structures. Umea, Sweden, June 17, 2019 http://www.selforganisedconstruction.org http://saso2019.cs.umu.se/workshops-and-tutorials/ - Important Deadlines - ? Submission deadline: March 3, 2019 March 15, 2019 ? Acceptance notification: April 1, 2019 April 15, 2019 ? Camera-ready papers due: April 20, 2019 - Summary - SOCO is on self-organised construction and we want to cumulate, present, discuss, and advance new research results from theory and practice as well as novel scientific concepts and methodologies. Originally inspired by nest construction in social insects, the general concept relies on a large number of agents that coordinate their construction efforts by prompting and reacting to local stimuli. Recently, with the wake of robotic swarms and novel material processing approaches, including for instance 3D printing techniques and innovative deployment of carbon fibres, self-organising construction is quickly gaining tremendous transformative significance in the context of various design and construction processes. These include also the construction, extension, and renovation of architectural buildings, engineering design, industrial assembly, and landscape architecture. Our focus is on the design and management of self-organising construction from a computational perspective. - Special Interests - ? Self-organising biologically inspired construction models ? Analysis and design of coordinating construction algorithms ? Agent-based simulations of building usage ? Self-organising robot groups and swarms for construction ? Computational metrics for evaluating complex structures (e.g., complexity, energy efficiency, structural integrity of buildings) ? Parameterisation, evaluation, optimisation of artefact utilisation and purpose ? Decentralised supply chains of construction materials ? Internet of Things (IoT) technologies for self-organised construction and maintenance ? 3D printing technologies for self-organised construction ? Applications in architectural design, building engineering, landscaping, industrial design, engineering and manufacture and swarm robotics ? Interfaces for human inspection and control of self-organising construction systems ? Modelling and simulation techniques, tools and platforms for self-organising construction - Submissions - Submitted papers of up to six pages will be evaluated in a single-blind reviewing process by the workshop committee members. Accepted papers will be submitted for publication to the FAS* workshop proceedings through IEEE. All papers need to follow the IEEE DL format of the SASO conference and follow the IEEE Computer Society Press proceedings style guide. Please submit your paper through EasyChair: https://easychair.org/conferences/?conf=soco20190 We are looking for contributions that present novel theoretical or experimental results, novel design patterns, mechanisms, system architectures, frameworks or tools, or practical approaches and experiences in building or deploying real-world systems and applications. We ask the authors to ensure that their submissions comply with the high standards in ingenuity and quality as expected by the SASO conference in general. The workshop on Self-organising Construction (SOCO) is one of the International Workshops on Foundations and Applications of Self-* Systems (FAS*) held in the context of the IEEE International Conferences on Self-Adaptive and Self-Organising systems (SASO) and on Cloud and Autonomic Computing (ICAC). - Organisors - ? Sebastian von Mammen, University of Wuerzburg ? Heiko Hamann, University of Luebeck ? Mary Katherine Heinrich, University of Luebeck - Programme Committee (confirmed as of 11.12.18) - * Phil Ayres * Peter Bentley * Marco Dorigo * Ren? Doursat * Ilaria Mazzoleni * Achim Menges * Nils Napp * Kirstin Petersen * Hiroki Sayama * Kasper Stoy * Joshua Taron * Justin Werfel * Ales Zamuda We are looking forward to your submissions! Sebastian, Heiko and Mary Katherine -------------- next part -------------- An HTML attachment was scrubbed... URL: From stmanion at gmail.com Tue Feb 26 07:45:54 2019 From: stmanion at gmail.com (Sean Manion) Date: Tue, 26 Feb 2019 07:45:54 -0500 Subject: Connectionists: CfP: Blockchain for Distributed Research - Frontiers Message-ID: Blockchain for Distributed Research, a special issue from Frontiers in Blockchain. https://www.frontiersin.org/research-topics/9698/blockchain-for-distributed-research Abstracts due by 24 March. Manuscripts due by 22 July. Brief Description: Science faces challenges and blockchain is maturing at the right time to help. Blockchain is a distributed, immutable ledger of data transactions shared across a system of users. The ledger reconciles automatically based on agreed upon governance and can include automated data processing (smart contracts). It does this without the delay of a trusted intermediary, a ?trustless trust? among users that what the ledger recorded really happened, from financial exchange to methods and hypothesis tested in an experiment. For science, benefits range from faster reviews to improved quality and transparency. Blockchain is not one size fits all, it will take scientists who know the pain points, data, and workflow to design solutions across each discipline. That?s where you come in. Astronomy to Genetics, Neuroscience to Public Health, experts are needed to determine how it may help. We are looking for manuscripts on empirical experience as well as theoretical applications to any field of science. How blockchain can be applied, the good it will do for advancing knowledge, and the value it can bring. Focus on challenges in each field is encouraged: lack of data standards, complexity of workflows, and other hurdles. Sean -------------- next part -------------- An HTML attachment was scrubbed... URL: From macke at tum.de Tue Feb 26 14:39:23 2019 From: macke at tum.de (Macke, Jakob) Date: Tue, 26 Feb 2019 19:39:23 +0000 Subject: Connectionists: Cajal Course in Computational Neuroscience 2019 Message-ID: <71D58081-8A8E-4AFF-B63A-F62AC9F7DC04@tum.de> CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE 11 August - 31 August 2019, Champalimaud Centre for the Unknown, Portugal http://www.cccn.pt Applications deadline: 11 March 2019 Course directors: Brent Doiron (University of Pittsburgh, USA) Maria Geffen (University of Pennsylvania,USA) Jakob Macke (Technical University of Munich, Germany) Joe Paton (Champalimaud Research, Portugal) Confirmed faculty: Matt Botvinick, Google Deepmind, UK Claudia Clopath, Imperial College London, UK Sophie Den?ve, Institut d'Etudes de la Cognition (IEC), France Julijana Gjorgjieva, Max Planck Institute for Brain Research, Germany Pedro J. Gon?alves, Research Center Caeser, an Associate of Max Planck Society, Bonn, Germany Ann Hermundstadt, Janelia Research Campus, USA Kate Jeffery, University College of London, UK Brian Lau, Brain and Spine Institute, France Gilles Laurent, Max Planck Institute for Brain Research, Germany M?t? Lengyel, University of Cambridge, UK Jennifer Linden, UCL Ear Institute, UK Christian Machens, Champalimaud Research, Portugal Ken Miller, Columbia University, USA Tony Movshon, New York University, USA Mala Murthy, Princeton Neuroscience Institute, USA Maneesh Sahani, Gatsby Computational Neuroscience Unit, UCL, UK Eero Simoncelli, New York University, USA Tim Vogels, University of Oxford, UK About the course: Computational Neuroscience is a rapidly evolving field whose methods and techniques are critical for understanding and modelling the brain, and also for designing and interpreting experiments. Mathematical modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements. This three-weeks school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning is devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students work on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects will be proposed by faculty before the course, and will include the modeling of neurons, neural systems, and behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. A four-day pre-school in mathematics and programming is offered for students that want to catch up on their math and programming skills. A maximum of 24 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. Stipends are available. Apply here: www.fens.org/Training/CAJAL-programme/CAJAL-courses-2019/CCCN2019/ Applications deadline: 11 March 2019 Stipends are available. CAJAL Advanced Neuroscience Training Programme is funded by FENS, IBRO and The Gatsby Foundation. For more information on the CAJAL programme: www.cajal-training.org Contact address: Simone Zacarias, simone.zacarias at research.fchampalimaud.org ? Prof. Dr. rer. nat. Jakob Macke Technical University of Munich Department of Electrical and Computer Engineering Professorship for Computational Neuroengineering macke at tum.de www.cne.ei.tum.de +49 89 289 26902 Office: Alexandra Petelski Alexandra.Petelski at tum.de Tel.: +49 (0)89 - 289 26900 Fax: +49 (0)89 - 289 26901 -------------- next part -------------- An HTML attachment was scrubbed... URL: From erdi.peter at wigner.mta.hu Tue Feb 26 16:03:07 2019 From: erdi.peter at wigner.mta.hu (=?ISO-8859-2?Q?=C9rdi_P=E9ter?=) Date: Tue, 26 Feb 2019 22:03:07 +0100 (CET) Subject: Connectionists: 6th Intl. Conference on Soft Computing & Machine Intelligence Message-ID: Dear All: The 2019 6th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2019). The Conference will be held in Johannesburg, South Africa during November 19-20, 2019. The main objective of ISCMI 2019 is to present the latest research and results of scientists related to Soft Computing & Machine Intelligence topics. This conference provides opportunities for the delegates to exchange new ideas face-to-face, to establish business or research relations as well as to find global partners for future collaborations. We hope that the conference results will lead to significant contributions to the knowledge in these up- to- date scientific fields. ISCMI 2019 is organized by India International Congress on Computational Intelligence(IICCI), with association of University of Johannesburg and technically supported by Technical Committee on Machine Learning, lEEE Systems, Man and Cybernetics Society. See: http://iscmi.us/index.html Best regards, P?ter ?rdi From malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de Wed Feb 27 02:53:30 2019 From: malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de (Vinita Samarasinghe) Date: Wed, 27 Feb 2019 08:53:30 +0100 Subject: Connectionists: Doctoral position in computational neuroscience, Ruhr Uni. Bochum Message-ID: <3c42bbc9-1fb9-b333-ddfe-36160591a1a4@ini.ruhr-uni-bochum.de> Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum in Germany, invites applicants for the position of *Doctoral Fellow in Computational Neuroscience*. The work will focus on studying the interaction between neocortex and hippocampus using spiking neural network models. The position is part of the project"Theory of the interplay between sensory cortices and hippocampus in memory formation and retrieval", which is funded by the German Research Foundation as part of the collaborative research center SFB 874. The position is funded from*01.07.2019 - 30.06.2022* (TV-L E13 65%). Candidates should have an excellent university degree in neuroscience, physics, mathematics, engineering or a related field and be eligible to enroll in a relevant PhD program at the Ruhr University. Competence in mathematical modeling and excellent programming skillsare mandatory. Familiarity with computational neuroscience or computational cognitive modeling would be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. For further information see www.rub.de/cns . To apply please send a statement of your motivation and research interests, academic transcripts, and a complete CV to samarasinghe at ini.rub.de in a single PDF file. Please, also request from at least two academic referees that they send letters of reference directly to the same email address. The *deadline for applications is 31.03.2019*. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. https://www.ini.rub.de/the_institute/jobs/doctoral_position_in_computational_neuroscience_at_the_institute_for_neural_computation/ -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Universit?tstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe at ini.rub.de Hours: Mon. - Fri. 8-11 -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at neuraltrain.de Wed Feb 27 10:19:49 2019 From: info at neuraltrain.de (Info Neuraltrain) Date: Wed, 27 Feb 2019 15:19:49 +0000 Subject: Connectionists: Berlin Startup seeks both senior and junior members to join its growing team. Message-ID: neuraltrain GmbH is a newly founded digital health start-up based in Berlin developing innovative, digital, mental health solutions. Critically, we focus on developing prescribed solutions (medically certified digital therapeutics prescribed by medical professionals and practitioners) by transitioning basic research into real world products. As a ?research and tech-focused? start-up, we offer a fantastic environment for both individuals already comfortable in a startup setting and those considering transitioning into industry. The roles available should appeal especially to new graduates / post-docs who are looking to apply their expertise to solve challenging real-world problems. We offer a young and dynamic working environment in an exciting co-working space right in the heart of Berlin. We are a small, but growing team and are very well-connected in the Digital Health ecosystem. Joining as an early member, we offer the flexibility, opportunity and support to help you grow personally and professionally with the startup as it grows. We are looking for several members to join our expanding team investigating a digital therapy solution for depression and affective disorders. Start dates are negotiable, although immediate availability is strongly preferred. The main roles we are looking to fill are listed below. EEG Researcher * PhD in Neurosciences/ Cognitive Neurosciences/ Psychology/ Biology or related; fresh graduates and post-docs are particularly encouraged to apply * Design, conduct, analyse EEG experiments with an emphasis on frequency, coherence and connectivity analyses * Code custom analyses for both research (i.e. 64 electrode) and commercial (i.e. ~12 electrode) EEG systems * Interpret results and perform literature analyses within the team look at cutting edge EEG research * For more details: https://flyinghealth-jobs.personio.de/job/105229 Computer Scientist * PhD in Computer science / Computational Neuroscience / or related field, with experience in techniques for image generation (i.e. GANs) * Comfortable working alongside psychologists to behaviourally quantify generated images * Interest in developing algorithms to help tailoring our digital intervention towards the specific needs of the individual (i.e. personalising medicine) * For more details: https://flyinghealth-jobs.personio.de/job/99730 We are not necessarily looking for a single individual that can do all of this ? but instead, we are looking for some new teammates to work alongside our existing researchers and further our work in these different areas. If this seems appealing to you ? or you want to discuss a little bit about how your skills might match up with our needs ? then please follow the links above or drop us a line at info at neuraltrain.de to get in touch. We are an equal opportunities employer and favour diversity. Location: Berlin Positions: Full-time -------------- next part -------------- An HTML attachment was scrubbed... URL: From roby.casadei at unibo.it Wed Feb 27 10:41:16 2019 From: roby.casadei at unibo.it (Roberto Casadei) Date: Wed, 27 Feb 2019 15:41:16 +0000 Subject: Connectionists: CfP: 4th eCAS Workshop on Engineering Collective Adaptive Systems (sub. deadline: Mar 15) In-Reply-To: <420c516d-e1d2-f994-9994-4191cd20e564@unibo.it> References: <420c516d-e1d2-f994-9994-4191cd20e564@unibo.it> Message-ID: <7e2074b1-4bf0-c8b3-f56c-dec097d33ee7@unibo.it> ************************************************************** CALL FOR WORKSHOP PAPERS: eCAS'19 The 4th eCAS Workshop on Engineering Collective Adaptive Systems (eCAS 2019) Workshop website: http://ecas2019.apice.unibo.it Location: Ume?, Sweden. In conjunction with FAS* (https://www.fasstar.org) - 13th IEEE International Conference on Self-Adaptiveand Self-Organizing Systems (SASO 2019, http://saso2019.cs.umu.se/), and - 16th IEEE International Conference on Autonomic Computing (ICAC 2019, http://icac2019.cs.umu.se/) ************************************************************** [Apologies for possible multiple copies of this message] Please share and spread to interested members of your group/institution and colleague researchers. ============================================================== Important dates ============================================================== * Abstract Submission: March 8, 2019 * Submission Deadline: March 15, 2019 * Notification of Acceptance: April 15, 2019 * Camera-Ready Version: April 20, 2019 * Workshop: TBD (June 16-20, 2019) ============================================================== Scope ============================================================== Modern software systems are becoming more and more *collective* and are composed of many distributed and heterogeneous entities. These systems operate under continuous perturbations making manual adjustments infeasible. For a collective system to be resilient, its *adaptation* must also be collective, in the sense that multiple entities must adapt in a way that addresses critical runtime conditions while preserving the benefits of collaborative interdependencies. Decision-making in such systems is distributed and possibly highly dispersed, and interaction between the entities may lead to the emergence of unexpected phenomena. In such systems, a new approach for adaptation is needed to allow: (i) multiple entities to collectively adapt with; (ii) negotiations to decide which collective changes are best. Collective adaptation also raises a second important challenge: Which parts of the system (things, services, people) should be engaged in an adaptation? This is nontrivial, as multiple solutions to the same problem may be generated at different levels. The challenge is to understand these levels and create mechanisms to decide the right scope for an adaptation for a given problem. This workshop solicits papers that address new methodologies, theories and principles that can be used to develop a better understanding of the fundamental factors underpinning the operation of such systems, so that they can be better designed, built, and analyzed, as well as case studies and applications showing such approaches in action. Interdisciplinary work is particularly welcomed. Suggested Topics (but not limited to): * Novel theories relating to operating principles of CAS * Novel design principles for building CAS systems * Insights into the short and long-term adaptation of CAS systems * Insights into emergent properties of CAS * Insights into general properties of large scale, distributed CAS * Decision-making approaches in CAS * Methodologies for studying, analyzing, and building CAS * Frameworks for analyzing or developing CAS case studies * Languages, platforms, APIs and other tools for CAS * Scenarios, case studies, and experience reports of CAS in different contexts (e.g., Smart Mobility, Smart Energy/Smart Grid, Smart Buildings, traffic management, emergency response, etc.) ============================================================== Submission Instructions and Review Criteria ============================================================== The length of a workshop paper may not exceed *6 pages* including references and follow the IEEE Computer Society Press proceedings style guide. All papers should be submitted in PDF format. You can submit the paper through EasyChair using this link: https://easychair.org/conferences/?conf=ecas2019 By submitting a paper, the authors confirm that in case of acceptance, at least one author will attend the workshop to present the work. Papers will be peer reviewed on the basis of originality, readability, relevance to themes, soundness, and overall quality. Workshop proceedings will be published on IEEE Xplore in parallel with the main conference proceedings. ============================================================== Committees ============================================================== Steering Committee * Jacob Beal, Raytheon BBN Technologies, USA * Giacomo Cabri, University of Modena And Reggio Emilia, Italy * Nicola Capodieci, University of Modena and Reggio Emilia, Italy * Emma Hart, Edinburgh Napier University, U.K * Mirko Viroli, University of Bologna, Italy Workshop Chairs * Roberto Casadei, Alma Mater Studiorum--Universit? di Bologna, IT * Soura Dasgupta, University of Iowa, USA Program Committee * Franco Bagnoli, University of Firenze, Italy * Jake Beal, Raytheon BBN Technologies, USA * Johann Bourcier, Universit? de Rennes 1 / IRISA, France * Antonio Bucchiarone, Fondazione Bruno Kessler, Trento, Italy * Mauro Caporuscio, Linnaeus University, Sweden * Ferruccio Damiani, Dipartimento di Informatica, Universit? di Torino, Italy * Simon Dobson, University of St Andrews, UK * Martina De Sanctis, Gran Sasso Science Institute, L'Aquila, Italy * Giovanna Di Marzo Serugendo, University of Geneva, Switzerland * Schahram Dustdar, Vienna University of Technology, Austria * Lukas Esterle, Aston University, UK * Francesco Gallo, University of L'Aquila, Italy * Kurt Geihs, Universitaet Kassel, Germany * Tom Holvoet, Katholieke Universiteit Leuven, Belgium * Paola Inverardi, University of L'Aquila, Italy * Ludovico Iovino, Gran Sasso Science Institute, L'Aquila, Italy * Verena Kl?s, TU Berlin, Germany * Peter Lewis, Aston University, UK * Michele Loreti, University of Camerino, Italy * Mieke Massink, CNR-ISTI, Italy * Mirco Musolesi, University College London, UK * Danilo Pianini, University of Bologna, Italy * Simon Powers, Edinburgh Napier University, UK * Alexander Schiendorfer, University Augsburg, Germany * Romina Spalazzese, Malmoe University, Sweden * Christof Teuscher, Portland State University, Oregon, USA * Mirko Viroli, University of Bologna, Italy ============================================================== Contacts ============================================================== For any question, please contact the workshop organizers at ecas2019 at easychair.org. From nkopco at gmail.com Wed Feb 27 11:51:01 2019 From: nkopco at gmail.com (Norbert Kopco) Date: Wed, 27 Feb 2019 17:51:01 +0100 Subject: Connectionists: Kosice Neuroscience Workshop, 3 - 5 June, 2019 In-Reply-To: <1360e2e5-919d-9374-0c15-ae95a7fd1aac@upjs.sk> References: <681f2c7a-abde-feb7-9b31-9f66e43f8880@oeaw.ac.at> <6568f5db-081f-f81c-9f7f-f644c1c2c474@majdak.com> <69dee7d4-36e7-e376-5ef1-14df63c32824@oeaw.ac.at> <8735eee1-5652-4f3c-fbdd-bdc1158a1132@upjs.sk> <37faf1be-38f4-994e-497b-5b7e84e70132@upjs.sk> <9865d2e1-e3a3-460e-7720-217c66b71fd6@upjs.sk> <1360e2e5-919d-9374-0c15-ae95a7fd1aac@upjs.sk> Message-ID: SAVE THE DATE! The 4th Workshop on */"Cognitive neuroscience of auditory and cross-modal perception"/* 3 - 5 June 2019 Kosice, Slovakia http://pcl.upjs.sk/workshop2019 *Objectives* ?This workshop will include research talks (and introductory lectures) on a range of topics related to the *neural processes of auditory, visual and cross-modal perception*. ?The main focus of this year?s workshop will be on *adaptation, learning and training in spatial perception and cognition*. ?The talks will illustrate the *multidisciplinary character of cognitive neuroscience research*, covering behavioral, neuroimaging, and modeling approaches, as well as applications of the research in auditory prosthetic devices. ?The workshop targets *early-stage and advanced students and young researchers*. It will provide ample opportunities for direct interactions between the lecturers and the attendees. The workshop will follow-up on our previous workshops organized in?2014, 2015 and 2017 . *Format* 1/2-day sessions, including invited talks, contributed talks, and posters, focusing on the topics of *Adaptation*,*Learning and training*, *Auditory and cross-modal perception (general)*, and *Vision and other topics in computational and cognitive neuroscience*. Non-scientific program (outings to tourist destinations near Kosice) will take place on the day before and day after the workshop. *Venue* Lecture hall 2.17T,Faculty of Science / Technicom building, P. J. ?af?rik University, Jesenn? 5, 04001 Ko?ice Slovakia . *Organizers* Norbert Kopco, P. J. Safarik University in Ko?ice Erick Gallun, National Center for Rehabilitative Auditory Research, Portland and OHSU Piotr Majdak, Austrian Academy of Science, Vienna Aaron Seitz, University of California, Riverside Invited talks and talks by ALT consortium (tentative): * *Jana Basnakova*, Slovak Academy of Sciences ** * *Virginia Best *, Boston University * *Lauren Calandruccio, *Case Western Reserve University, Ohio * *John Culling, *Cardiff University * *Inyong Choi, *The University of IOWA ? ?Adapting to simultaneous electric and acoustic stimulation for word-in-noise recognition in listeners with single-sided deafness.? * *Erick Gallun *, National Center for Rehabilitative Auditory Research, Portland and OHSU * *Catarina Hiipakka, *? Alto?University, Finland?? ?Changes in auditory space following audiovisual experience.? * *Andrej Kral, *Hannover Medical School, Germany * *Norbert Kopco, *Safarik University, Slovakia * *Bernhard Laback *, Austrian Academy of Sciences * *Petr Marsalek *, Charles University of Prague and Max Planck Institute for the Physics of Complex Systems * *Piotr Majdak *, Austrian Academy of Sciences * *John van Opstal, *Radbound University, Netherlands ? ?Perceived Target Range Shapes Human Sound-Localisation Behaviour? * *Josefa Oberem, *RWTH Aachen University, ? ?Individual dynamic binaural reproduction in complex acoustic scenes: Understanding mechanisms in auditory attention.? * *Chris Stecker, *Vanderbilt University Medical Center * *Dan Sanes, *New York University * *Nelli Salminen, *Alto?University, Finland * *Aaron Seitz *, University of California, Riverside * *Filip Smolik, *Czech Academy of Sciences * *Brigitta Toth, *Hungarian Academy of Sciences * *Bev Wright,* Northwestern University * more TBA *Travel, accommodation, visitor information* see workshop webpage: http://pcl.upjs.sk/workshop2019/ *Registration* The workshop is open to all interested students/scientists. Registration is free of charge but required. To register, please send an email to kogneuro at gmail.com stating your name and affiliation and the dates on which you are planning to attend. All accepted abstracts will be published on the workshop website. No proceedings will be published. In case you would like to have a presentation please send us an abstract (up to 200 words; also indicate whether you prefer poster or oral presentation) no later than May 10, 2019. This workshop is supported by theEU H2020-MSCA-RISE-2015 project #691229 . -------------- next part -------------- An HTML attachment was scrubbed... URL: From jennytorres163 at gmail.com Wed Feb 27 12:34:52 2019 From: jennytorres163 at gmail.com (Jenny TORRES) Date: Wed, 27 Feb 2019 12:34:52 -0500 Subject: Connectionists: Cyber Security in Networking Conference, CSNet'19 - October 23 - 25, Quito, Ecuador Message-ID: (Apologies if you received duplicate copies of this call for papers) ********************************************************************************** CALL FOR PAPERS - CSNet'19 3rd Cyber Security In Networking Conference October 23 - 25, 2019 Quito, Ecuador https://csnet-conference.org/ *The CSNet Proceedings have been indexed in the past by ISI, dblp and Scopus. This makes the CSNet conference one of the publication venues with very high visibility and impact in both Computer and Cybersecurity areas.Best papers will be considered for fast-track publication in the Annals of Telecommunications (Springer, ISI-indexed)* ********************************************************************************* Cybersecurity is the set of technologies, processes and practices designed to protect networks, computers, programs and data from attack, damage or unauthorized access. In a computing context, security includes both cybersecurity and physical security. The driving theme at CSNet 2019 is Cyber Security in Networking. The technological disruption is generating an impact on society and leading to a new industrial revolution. This social and industrial change presents new technological environments constituted by ubiquitous systems and large amounts of information, which requires a change in the way how cybersecurity is applied. The use of bigdata, machine learning, data science, data mining, strengthens the cognitive skills of security analysts to face new forms of cybersecurity attacks. This new trend, called cognitive security, poses new challenges for researchers and companies to seek proactive security proposals according to this technological change and social impact. Areas of interest include, but are not limited to: ? Attacks on Virtualized Systems ? Balancing Trust and Control ? Blockchain technology and CyberSecurity ? Cell Phones vulnerabilities ? Cloud of Security ? Cognitive Security ? Concealing Malware (Trojan Horses-Root kits-Logic Bombs) ? Cyber-attacks Cloud-oriented vs Cyber defense Cloud-oriented ? Cybersecurity ? Data Center Network Control, Security and Optimization ? Demilitarization Zone (DMZ) ? Designing a Security Policy ? Disaster recovery plan ? Enterprise Wireless Security ? Hardware-Based Attacks ? Host Network Intrusion Prevention Systems ? Industrial control system information security ? Infection Malware ? Integrated Network Security Hardware ? Internet Content Filters ? Internet security issues ? Network and operating system administration for security purposes ? Network Attached Storage (NAS) ? Network Intrusion Detection Systems (NIDS) ? Network security design ? Organizational Security Policies ? Secure Network through Network Design ? Security in Internet of Things ? Security in Fog/edge Computing ? Security of Virtual Machines ? Security, trust and privacy challenges ? Smart City Security ? Smart Grid security ? Cyber Physical System (CPS) security ? Software-Based Attacks ? System security for wired and wireless networks ? Virtual firewalls Instructions for paper submission ------------------------ Submitted papers must represent original material that is not currently under review in any other conference or journal, and has not been previously published. All submissions should be written in English with maximum of eight (8) printed pages (in Two-Column IEEE Conference Format), including text, figures and references. Papers should be submitted through EDAS at https://edas.info/newPaper.php?c=25739 Best papers will be considered for fast-track publication in the Annals of Telecommunications (Springer, ISI-indexed) Important dates: ------------------------ ? Paper submission deadline: April 28, 2019 ? Acceptance notification: June 14, 2019 ? Camera-Ready papers: June 30, 2019 General Co-Chair ------------------------ ? Jenny Torres (Escuela Polit?cnica Nacional, Ecuador) ? Guy Pujolle (Sorbonne University, France) TPC Co-Chairs ------------------------ ? Walter Fuertes (Universidad de las Fuerzas Armadas-ESPE, Ecuador) ? Samia Bouzefrane (CNAM, France) Steering Committee ------------------------ ? Abdelmalek Benzekri (IRIT, France) ? Guy Pujolle (Sorbone University, France) ? Otto Duarte (UFRJ, Brazil) ? Raouf Boutaba (University of Waterloo, Canada) ? Rida Khatoun (Telecom ParisTech, France) ? Solange Ghernaouti (University of Lausanne, Switzerland) You will find additional information at: https://csnet-conference.or -- Jenny TORRES PhD in Computer Science Escuela Polit?cnica Nacional -------------- next part -------------- An HTML attachment was scrubbed... URL: From caip2019 at unisa.it Thu Feb 28 01:14:50 2019 From: caip2019 at unisa.it (caip2019 at unisa.it) Date: Thu, 28 Feb 2019 07:14:50 +0100 Subject: Connectionists: Call for papers CAIP, 2-5 September 2019, Salerno (Italy) Message-ID: <599651ba-e509-03e5-9018-10f19dde9315@unisa.it> *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* Tutorial/workshop proposal submission *??? March 1, 2019* Paper submission *April 1, 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 tfai at brandeis.edu Wed Feb 27 14:46:15 2019 From: tfai at brandeis.edu (Thomas Fai) Date: Wed, 27 Feb 2019 14:46:15 -0500 Subject: Connectionists: Postdoctoral opening at Brandeis University Message-ID: Dear Colleagues, There is a postdoctoral position available in my group in the Mathematics department at Brandeis University, for a research project involving the modeling and numerical simulation of membrane-bound vesicle transport inside of neurons. The position is for up to 2 years and is funded by an NIH postdoc training grant in Neuroscience. Funding is limited to US citizens or permanent residents. Candidates should be available to start by June 2019. Please circulate this advertisement (details below and attached) to any potential candidates. For further info, contact me directly at tfai at brandeis.edu. Thank you, Thomas Fai ==================================================== A postdoctoral position is available at Brandeis University to work on mathematical modeling and simulation of membrane-bound vesicle transport inside of neurons (hosted by Thomas Fai). Mathematical techniques include PDE-based models of cell mechanics and fluid dynamics, numerical methods for fluid-structure interaction, dynamical systems, and asymptotics. Potential research topics include building stochastic models to assess the importance of noise, using image processing of experimental data to characterize the behavior in real dendritic spine geometries, and exploring the mechanisms of synaptic strengthening and atrophy. The postdoc will join the Mathematics Department at Brandeis University ( http://www.brandeis.edu/departments/mathematics/) and have strong ties to the Neuroscience group (http://www.bio.brandeis.edu/). The position, which is for up to 2 years contingent on funding and satisfactory progress, is funded through an NIH postdoc training grant in Neuroscience. Postdocs in this program participate in seminars and journal clubs, obtain mentoring experience, and are expected to apply for external awards during the first year. Funding is limited to US citizens or permanent residents. Candidates should be prepared to start no later than June 16, 2019. Candidates should hold a Ph.D (in neuroscience, mathematics, physics, engineering, or a related topic) by the starting date, have an excellent track record of scholarship, with experience in numerical simulations and interest in learning continuum mechanics and/or fluid dynamics. For further information, contact Thomas Fai (tfai at brandeis.edu). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: postdoc_search_tfai_2018_v2.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 408282 bytes Desc: not available URL: From dwang at cse.ohio-state.edu Wed Feb 27 21:29:16 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Wed, 27 Feb 2019 21:29:16 -0500 Subject: Connectionists: NEURAL NETWORKS, March 2019 Message-ID: <61081e77-f21f-dae2-056e-e465b22c8fc7@cse.ohio-state.edu> Neural Networks - Volume 111, March 2019 http://www.journals.elsevier.com/neural-networks An extensive experimental survey of regression methods M. Fernandez-Delgado, M.S. Sirsat, E. Cernadas, S. Alawadi, ... M. Febrero-Bande Deep learning in spiking neural networks Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothee Masquelier, Anthony Maida Learning a discriminant graph-based embedding with feature selection for image categorization Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek Classification of gait patterns between patients with Parkinson?s disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks Wei Zeng, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, ... Hui Xiong Response prediction of nonlinear hysteretic systems by deep neural networks Taeyong Kim, Oh-Sung Kwon, Junho Song Image-based velocity estimation of rock using Convolutional Neural Networks Sadegh Karimpouli, Pejman Tahmasebi From martaruizcostajussa at gmail.com Thu Feb 28 08:08:11 2019 From: martaruizcostajussa at gmail.com (Marta Ruiz) Date: Thu, 28 Feb 2019 14:08:11 +0100 Subject: Connectionists: Deadline Extension: Special Issue of Computational Linguistics: Multilingual and Interlingual Semantic Representations for Natural Language Processing In-Reply-To: References: Message-ID: *Special Issue of Computational Linguistics: * *Multilingual and Interlingual Semantic Representations forNatural Language Processing* Special Issue of Computational Linguistics: Multilingual and Interlingual Semantic Representations for Natural Language Processing Guest Editors: Marta R. Costa-juss?, Cristina Espa?a-Bonet, Pascale Fung, Noah A. Smith * Deadline extension* Submission deadline: 21 March 2019 Notification of the first round of reviewing: 30 May 2019 Revised paper submission deadline: 30 August 2019 Notification of the second round of reviewing: 4 October 2019 Camera ready paper due: 18 October 2019 Accepted papers will appear in the March 2020 issue of CL journal --------------------------------------------------------------------------------------------------- Call for Papers --------------- Semantic representations at different levels ? word, sentence, paragraph ? are central to many solutions to Natural Language Processing (NLP) tasks. Text annotation, information retrieval, sentiment analysis, text summarisation, question answering, and machine translation solutions have achieved significant improvements using semantic representations of words. The number of tasks has also grown with the popularisation of unsupervised word embeddings, a fast and efficient way of estimating continuous representations of words. Now, representations derived from deep learning methods are giving a new boost to the field. But in an increasingly globalised world, multilingual and cross-language applications are needed. Extensions to monolingual representations of words such as multilingual Brown clusters, multilingual or interlingual word embeddings, multilingual topic models, and cross-lingual semantic parsers have been successfully applied, though performance lags behind their monolingual counterparts. On the other hand, multilinguality should be able to overcome one of the main limitations of standard representations: multiple senses of a word are conflated into a single vector. In addition, representations of sentences and paragraphs are arising through the encoder-decoder approach (in the fields of natural language inference, machine translation, and text summarization, among others) and the extension to multilingual inputs is equally or even more interesting for NLP applications. Abstract semantic representations attract interest both in academia and industry, as shown by the wide and varied publications from universities and companies on this topic. Achieving improvements in this direction will change the conception of translation (from pairwise to interlingua), enable greater sharing among different NLP applications, and overcome low-resource limitations through zero-shot learning, among other advantages. This research direction will not only increase the performance of current architectures in cross-language settings, but will also lead to novel language-independent architectures and tasks for NLP. Topics ------ This call aims to motivate research on multilingual and interlingual representations that, in the context of any NLP task, go beyond projections from one language into another one and that target crosslinguality. The special topic proposed aims to put together a compact and openly accessible volume, which presents high quality research works that cover an overview of this multidisciplinary field as well as most recent advances. Topics include, but are not limited to: ? Multilingual and crosslingual embeddings for words, sentences, paragraphs, or documents ? Interlingual representations for disambiguation (e.g., embeddings of interlingual word senses, concepts, etc.) ? Disambiguated representations through multilinguality ? Intrinsic evaluation of multilingual or crosslingual representations ? Extrinsic evaluation on NLP tasks We strongly encourage submissions that include experimental findings on languages and dialects less commonly studied in natural language processing at present. Submission Instructions ----------------------- Papers should be submitted according to the Computational Linguistics style: *http://cljournal.org/ * As in regular submissions to the journal, paper submissions should be made through the CL electronic submission system: *http://cljournal.org/submissions.html *. In Step 1 of the submission process, please select 'Special Issue: Multilingual and Interlingual Semantic Representations' under the 'Journal Section' heading. Please note that papers submitted to a special issue undergo the same reviewing process as regular papers. Guest Editors ------------- *Marta R. Costa-juss?* Universitat Polit?cnica de Catalunya, Barcelona, Spain marta.ruiz AT upc.edu *Cristina Espa?a i Bonet* DFKI and Saarland University, Saarbr?cken, Germany cristinae AT dfki.de *Pascale Fung* Hong Kong University of Science and Technology pascale AT ee.ust.hk *Noah A. Smith* University of Washington and Allen Institute for Artificial Intelligence nasmith AT cs.washington.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: From jeremy.gibbons at cs.ox.ac.uk Thu Feb 28 06:39:33 2019 From: jeremy.gibbons at cs.ox.ac.uk (Jeremy Gibbons) Date: Thu, 28 Feb 2019 11:39:33 +0000 Subject: Connectionists: ARRAY workshop at PLDI 2019, submissions due 8th April Message-ID: CALL FOR PAPERS ARRAY 2019 6th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming co-located with PLDI 2019 at ACM FCRC 22nd June 2019, Phoenix, Arizona https://pldi19.sigplan.org/ ABOUT Array-oriented programming offers a unique blend of programmer productivity and high-performance parallel execution. As an abstraction, it directly mirrors high-level mathematical constructions commonly used in many fields from natural sciences over engineering to financial modelling. As a language feature, it exposes regular control flow, exhibits structured data dependencies, and lends itself to many types of program analysis. Furthermore, many modern computer architectures, particularly highly parallel architectures such as GPUs and FPGAs, lend themselves to efficiently executing array operations. This workshop is intended to bring together researchers from many different communities, including language designers, library developers, compiler researchers and practitioners who are using or working on numeric, array-centric aspects of programming languages, libraries and methodologies from all domains: imperative or declarative; object-oriented or functional; interpreted or compiled; strongly typed, weakly typed or untyped. TOPICS The ARRAY series of workshops explores: - formal semantics and design issues of array-oriented languages and libraries; - productivity and performance in compute-intensive application areas of array programming; - systematic notation for array programming, including axis- and index-based approaches; - intermediate languages, virtual machines, and program-transformation techniques for array programs; - representation of and automated reasoning about mathematical structure, such as static and dynamic sparsity, low-rank patterns, and hierarchies of these, with connections to applications such as graph processing, HPC, tensor computation and deep learning; - interfaces between array- and non-array code, including approaches for embedding array programs in general-purpose programming languages; and - efficient mapping of array programs, through compilers, libraries, and code generators, onto execution platforms, targeting multi-cores, SIMD devices, GPUs, distributed systems, and FPGA hardware, by fully automatic and user-assisted means. Array programming is at home in many communities, including language design, library development, optimization, scientific computing, and across many existing language communities. ARRAY is intended as a forum where these communities can exchange ideas on the construction of computational tools for manipulating arrays. IMPORTANT DATES Paper submissions: 8th April, 2019 (anywhere on earth) Notification of authors: 27th April, 2019 Camera-ready copies due: 10th May, 2019 Workshop date: 22nd June, 2019 SUBMISSIONS Submissions are welcome in two categories: full papers and extended abstracts. All submissions should be formatted in conformance with the ACM SIGPLAN proceedings style. Accepted submissions in either category will be presented at the workshop. Full papers may be up to 12pp, on any topic related to the focus of the workshop. They will be thoroughly reviewed according to the usual criteria of relevance, soundness, novelty, and significance; accepted submissions will be published in the ACM Digital Library. Extended abstracts may be up to 2pp; they may describe work in progress, tool demonstrations, and summaries of work published in full elsewhere. The focus of the extended abstract should be to explain why the proposed presentation will be of interest to the ARRAY audience. Submissions will be lightly reviewed only for relevance to the workshop, and will not published in the DL. Whether full papers or extended abstracts, submissions must be in PDF format, printable in black and white on US Letter sized paper. Papers must adhere to the standard SIGPLAN conference format: two columns, nine-point font on a ten-point baseline, with columns 20pc (3.33in) wide and 54pc (9in) tall, with a column gutter of 2pc (0.33in). A suitable document template for LaTeX is available at http://www.sigplan.org/Resources/Author/. Papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=array2019. AUTHORS TAKE NOTE: The official publication date of full papers is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the workshop. The official publication date affects the deadline for any patent filings related to published work. ORGANIZING COMMITTEE Jeremy Gibbons, University of Oxford, UK (chair) PROGRAMME COMMITTEE Paolo Bientinesi, Ume? University, SE Christophe Dubach, University of Edinburgh, UK Vinod Grover, NVIDIA, US Magne Haveraaen, University of Bergen, NO Troels Henriksen, University of Copenhagen, DK Tze Meng Low, Carnegie-Mellon University, US Hidehiko Masuhara, Tokyo Institute of Technology, JP Trevor L. McDonell, Utrecht University, NL Lenore Mullin, SUNY Albany, US Tatiana Shpeisman, Google Brain, US ARRAY 2019 is sponsored by ACM SIGPLAN. Student presenters of accepted submissions are eligible to apply to the SIGPLAN PAC (http://sigplan.org/PAC/) for travel funding. Jeremy.Gibbons at cs.ox.ac.uk Oxford University Department of Computer Science, Wolfson Building, Parks Road, Oxford OX1 3QD, UK. ? +44 1865 283521 http://www.cs.ox.ac.uk/people/jeremy.gibbons/ From dboscaini at fbk.eu Thu Feb 28 14:35:48 2019 From: dboscaini at fbk.eu (Davide Boscaini) Date: Thu, 28 Feb 2019 20:35:48 +0100 Subject: Connectionists: ICIAP 2019 - Call for Papers Message-ID: 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). This 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 * Notification of acceptance: 7th June 2019 * Camera ready submission: 21st June 2019 * Workshop/tutorial proposal submission: 1st April 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. ICIAP 2019 - Call for Workshops We invite you to submit proposals for new and recurring workshops that will be held in conjunction to the 20th ICIAP main conference. The conference will host 2-3 one-day workshops (or some more half-day workshops) on the 9-10th September. We accept proposals on any emerging or classic topics related to the broad set of research and application areas covered by the ICIAP conference. The goal of the ICIAP workshops is to publish early results in emerging areas, or discussing highly focused and recent topics in image processing and pattern recognition. Returning workshops are allowed. Papers accepted at the workshops will be published on Springer Lecture Notes in Computer Science (LNCS). Dates: * Proposal submission deadline: 1st April 2019 Workshop proposal evaluation notification: workshop proposals will be selected on a first-come-first-served basis and considering the quality of the proposal. Notification will be given in about 20 days from the submission of the proposal. Submission: Email proposals in PDF to the workshop chairs Marco Cristani ( marco.cristani at univr.it) and Andrea Prati (andrea.prati at unipr.it). The e-mail must have the subject "ICIAP Workshop submission". The workshop proposal should contain at least the following information: * Workshop Title * Names and affiliations of main organizers and primary contact email. Internationality of the organizing committee is preferred. * Motivation and rationale for the workshop. * A draft Call For Papers (CFP), as complete as possible. * The workshop deadlines (see below for the constraints and suggestions on the deadlines). * A tentative composition of the committees (as complete as possible). Please indicate whether prospective TPC members have been contacted, and whether they have accepted the invitation. We strongly discourage speculative TPC listings and we encourage international TPCs. * Invited speakers. Please indicate whether prospective invited speakers have been contacted, and whether they have accepted the invitation. Having strong invited speakers will boost the probability of getting the workshop accepted. * Workshop format, i.e., expected number of presented papers, invited talks, panels, demonstrations, rough program outline, etc.. * Expected number of participants and the expected number of submissions. * Prior history of this workshop, if any, including number of submissions, number of accepted papers, and attendee count. * Similar workshops in the community, with similarities/dissimilarities of your proposal. * Any special space or equipment requests. Please do not hesitate to contact the workshop chairs Marco Cristani ( marco.cristani at univr.it) and Andrea Prati (andrea.prati at unipr.it) in case you have questions. ICIAP 2019 - Call for Tutorials ICIAP 2019 is soliciting proposals for half-day (3-4 hours) tutorials to be held on 9-10th September, in conjunction with the main event. The conference will hold 2 half-day tutorials. We invite you to submit tutorial proposals on any themes related to the broad set of research and application areas covered by the ICIAP conference. In particular ICIAP welcomes tutorials regarding emerging methods and techniques in: * 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 courses should provide an educational understanding of the methodologies involved rather than being a description of methods/papers in the state of the art. Dates: * Proposal submission deadline: 1st April 2019 The tutorial proposals will be evaluated regarding the information provided and quality criteria related to the fit of the proposal given the conference topics, the timelines and relevance of the topics, the experience of the presenters and the organisation of the syllabus. Proposals will be selected on a first-come-first-served basis. Notification will be given in about 15 days from the submission of the proposal. Submission: Please send your proposal in PDF by e-mail to the tutorial chairs Costantino Grana (costantino.grana at unimore.it) and Lamberto Ballan ( lamberto.ballan at unipd.it). The e-mail must have the subject "ICIAP Tutorial submission". The proposal should provide at least the following information: * Tutorial title and short abstract. * Short bio of the presenters with affiliations and their relevant publications related to the tutorial topics. * Motivation and expected audience of the tutorial. * If available, prior history of this tutorial including number of attendees. * List of previous presented tutorial on the same theme with a description of similarities and dissimilarities with respect to your proposal. * Tentative Syllabus with a breakdown of the topics. * If material will be provided to the attendees before the tutorial (slides, code, etc.) and if any special requirement is necessary. Please do not hesitate to contact the tutorial chairs Costantino Grana ( costantino.grana at unimore.it) and Lamberto Ballan (lamberto.ballan at unipd.it) in case you have questions. ICIAP 2019 - Call for Special Sessions ICIAP 2019 will host a small number of special sessions that will be focused either on novel methodological issues or on emerging application scenarios. Special session proposals should clearly point out the topic of the session, and the process used to select the papers. The proposal of a "methodological" special session should solicit papers that provide the audience with novel ideas and frameworks that are expected to have a significant impact in the near future. The proposal of an "application" special session should comprise the selection of a number of papers focused on solutions for emerging application scenarios. Dates: * Proposal submission deadline: 1st March 2019 * Notification: 8th March 2019 The selection process should be managed by the organizers of the special session so that the deadline for the submission of the camera ready is the same as the one of the main conference. Submission: Please submit proposals to the ICIAP 2019 Special Sessions co-chairs Marco Bertini (marco.bertini at unifi.it) and Tatiana Tommasi (tatiana.tommasi at iit.it) and contact them if you have any question. -- -- 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 pkordjam at tulane.edu Thu Feb 28 14:20:27 2019 From: pkordjam at tulane.edu (Kordjamshidi, Parisa) Date: Thu, 28 Feb 2019 19:20:27 +0000 Subject: Connectionists: [CFP] Combined Workshop on Spatial Language Understanding (SpLU) & Grounded Communication for Robotics (RoboNLP) @NAACL-HLT 2019 Message-ID: ---------------------------------------------------------------- SECOND CALL FOR PAPERS ---------------------------------------------------------------- Combined Workshop on Spatial Language Understanding (SpLU) & Grounded Communication for Robotics (RoboNLP) at NAACL-HLT 2019, June 6, Minneapolis, USA. Website: https://splu-robonlp.github.io --------------------------------------------------------------- AIM AND SCOPE --------------------------------------------------------------- SpLU-RoboNLP 2019 is a combined workshop on spatial language understanding (SpLU) and grounded communication for robotics (RoboNLP) that focuses on spatial language, both linguistic and theoretical aspects, and its application to various areas including and especially focusing on robotics. The combined workshop aims to bring together members of NLP, robotics, vision, and related communities in order to initiate discussions across fields dealing with spatial language along with other modalities. The desired outcome is identification of both shared and unique challenges, problems and future directions across the fields and various application domains. While language can encode highly complex, relational structures of objects, spatial relations between them, and patterns of motion through space, the community has only scratched the surface on how to encode and reason about spatial semantics. Despite this, spatial language is crucial to robotics, navigation, NLU, translation and more. Standardizing tasks is challenging as we lack formal domain independent meaning representations. Spatial semantics requires an interplay between language, perception and (often) interaction. Following the exciting recent progress in visual language grounding, the embodied, task-oriented aspect of language grounding is an important and timely research direction. To realize the long-term goal of robots that we can converse with in our homes, offices, hospitals, and warehouses, it is essential that we develop new techniques for linking language to action in the real world, where spatial language understanding is essential. Can we give instructions to robotic agents to assist with navigation and manipulation tasks in remote settings? Can we talk to robots about the surrounding visual world, and help them interactively learn the language needed to finish a task? We hope to learn about (and begin to answer) these questions as we delve deeper into spatial language understanding and grounding language for robotics. --------------------------------------------------------------- TOPICS OF INTEREST --------------------------------------------------------------- The major topics covered in the workshop include: - Spatial Language Meaning Representation (Continuous, Symbolic) - Spatial Language Learning and Reasoning - Multimodal Spatial Understanding - Instruction Following (real or simulated) - Grounded or Embodied tasks - Datasets and evaluation metrics For a full description and subtopics, please look at the workshop website at https://splu-robonlp.github.io/ . --------------------------------------------------------------- IMPORTANT DATES --------------------------------------------------------------- Submission Deadline: March 6, 2019 Notification: March 27, 2019 Camera Ready deadline: April 5, 2019 Workshop Day: June 6, 2019 --------------------------------------------------------------- SUBMISSION AND SELECTION PROCESS --------------------------------------------------------------- We encourage contributions with technical papers (NAACL style, 8 pages without references) or position statements (NAACL style, 4 pages maximum) describing previously unpublished work. NAACL Style files are available here. Both archival and non-archival submissions are accepted. Please make submissions via Softconf here. --------------------------------------------------------------- BEST PAPER(S) --------------------------------------------------------------- The SpLU-RoboNLP 2019 expert program committee will select the best paper(s) for an award. --------------------------------------------------------------- INVITED SPEAKERS --------------------------------------------------------------- * Dhruv Batra, GaTech/FAIR * Joyce Chai, Michigan State University * Cynthia Matuszek, UMBC * Raymond J. Mooney, UT Austin * Martha Palmer, CU Boulder * Matthias Scheutz, Tufts * Stefanie Tellex, Brown * Dilek Hakkani-Tur, Amazon --------------------------------------------------------------- PROGRAM COMMITTEE --------------------------------------------------------------- * Malihe Alikhani, Rutgers University, USA * Yoav Artzi, Cornell University, USA * Jacob Arkin, Univ of Rochester, USA * John A. Bateman, Universit??t Bremen, Germany * Mehul Bhatt, ??rebro University, Sweden * Jonathan Berant, Tel-Aviv University, Israel * Raffaella Bernardi, University of Trento, Italy * Steven Bethard, University of Arizona, USA * Johan Bos, University of Groningen, The Netherlands * Volkan Cirik, CMU, USA * Guillem Collell, KU Leuven, Belgium * Joyce Chai, Michigan State University, USA * Angel Chang, Stanford University, USA * Simon Dobnik, CLASP and FLOV, University of Gothenburg, Sweden * Ekaterina Egorova, University of Zurich, Switzerland * Zoe Falomir, Universit??t Bremen, Germany * Daniel Fried, UCSF, USA * Lucian Galescu, IHMC, USA * Felix Gervits, Tufts, USA * Hannaneh Hajishirzi, University of Washington, USA * Casey Kennington, Boise State University, USA * Jayant Krishnamurthy, Semantic Machines, USA * Stephanie Lukin, Army Research Laboratory, USA * Bruno Martins, University of Lisbon, Portugal * Chris Mavrogiannis, Cornell University, USA * Dipendra Misra, Cornell University, USA * Marie-Francine Moens, KU Leuven, Belgium * Ray Mooney, University of Texas, USA * Mari Broman Olsen, Microsoft, USA * Martijn van Otterlo, Tilburg University, The Netherlands * Aishwarya Padmakumar, UT Austin, USA * Natalie Parde, University of Illinois Chicago, USA * Ian Perera, IHMC, USA * James Pustejovsky, Brandeis University, USA * Preeti Ramaraj, University of Michigan, USA * Siva Reddy, Stanford University, USA * Kirk Roberts, The University of Texas Health, USA * Anna Rohrbach, UC Berkeley, USA * Marcus Rohrbach, FAIR, USA * Manolis Savva, Princeton University, USA * Jivko Sinapov, Tufts, USA * Kristin Stock, Massey University of New Zealand, New Zealand * Alane Suhr, Cornell, USA * Clare Voss, Army Research Laboratory, USA * Xin Wang, University of California Santa Barbara, USA * Shiqi Zhang, SUNY Binghamton, USA * Victor Zhong, University of Washington, USA --------------------------------------------------------------- ORGANIZING COMMITTEE --------------------------------------------------------------- * James F. Allen, University of Rochester, IHMC, jallen at ihmc.us * Jacob Andreas, Semantic Machines/MIT, jda at cs.berkeley.edu * Jason Baldridge, Google, jasonbaldridge at google.com * Mohit Bansal, UNC Chapel Hill, mbansal at cs.unc.edu * Archna Bhatia (co-chair), IHMC, abhatia at ihmc.us * Yonatan Bisk (co-chair), University of Washington, ybisk at yonatanbisk.com * Asli Celikyilmaz, Microsoft Research, asli.ca at live.com * Bonnie J. Dorr, IHMC, bdorr at ihmc.us * Parisa Kordjamshidi (chair), Tulane University, IHMC, pkordjam at tulane.edu * Matthew Marge, Army Research Lab, matthew.r.marge.civ at mail.mil * Jesse Thomason (co-chair), University of Washington, thomason.jesse at gmail.com --------------------------------------------------------------- CONTACT --------------------------------------------------------------- Feel free to contact Organizing Committee at splu-robonlp-2019 at googlegroups.com. ------------------------------------------- Kordjamshidi, Parisa Assistant Professor CS Department at Tulane University Research Scientist at IHMC Homepage -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Thu Feb 28 10:25:11 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Thu, 28 Feb 2019 10:25:11 -0500 Subject: Connectionists: ECEM 2019: Final Deadline for Symposia Submissions is March 5th! In-Reply-To: <063001d4cf79$8da329e0$a8e97da0$@neuralcorrelate.com> References: <063001d4cf79$8da329e0$a8e97da0$@neuralcorrelate.com> Message-ID: <067401d4cf79$ce803c50$6b80b4f0$@neuralcorrelate.com> Dear Colleagues, There is still time to submit a symposium proposal to the premier international meeting on eye movement research! The FINAL deadline for symposia proposals for the 2019 European Conference on Eye Movements (ECEM) is next Tuesday, March 5th. Full details at: http://www.ecem2019.com/index.php/abstracts/symposium Abstract submissions for talk/poster sessions are now also open, until April 5th: http://www.ecem2019.com/index.php/abstracts/abstracts-guidelines. Register before the early fee deadline and save on fees. The early registration deadline is June 17th: 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 be in Alicante, Spain (August 18-22) Alicante, with more than 320,000 inhabitants, is a traditional maritime city located on the Mediterranean Sea. The old part of the city encompasses Postiguet Beach, two marinas and a large commercial port. The city embraces an imposing 166-meter rocky hill right next to the sea, Monte Benacantil, crowned by The Castillo de Santa B?rbara (Santa Barbara Castle). This is one of the largest castles on the Mediterranean, and the conference dinner will take place within its premises, with breathtaking views over the city and the Mediterranean. The slopes of Monte Benacantil surround the old city of Alicante (El Barrio) like a shield. El Barrio is well known for its vibrant nightlife. The local organizing team has secured a large block of hotel rooms at special discounted rates for the conference. Specific hotel information will be made available on the website in March 2019. Lodging in the area is reasonably priced, but accommodations can become limited in the high summer season. We advise early hotel reservation. Publication of Abstracts Accepted abstracts will be published as a special issue in the Journal of Eye Movement Research (Editor: Rudolf Groner, Bern). ECEM 2017?s abstracts are available at: https://bop.unibe.ch/JEMR/issue/view/779 On Behalf of the Local Organization Committee Please feel free to share this information with your colleagues. We look forward to welcoming you to Alicante! Luis Martinez-Otero (chair), Albert Compte, and Susana Martinez-Conde -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: