From gigglelmt at gmail.com Wed May 1 09:31:08 2019 From: gigglelmt at gmail.com (Gigg Liu) Date: Wed, 1 May 2019 21:31:08 +0800 Subject: Connectionists: [CALL FOR PAPERS] IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE Message-ID: IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE https://webintelligence2019.com/ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) CALL FOR PAPERS Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance 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 theme for the WI'19 is: "Web Intelligence = AI in the Connected World". The 18th Web Intelligence conference (WI'19) aims to achieve a multi-disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI'19 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Track 1: Web of People Social networks analytics Social media and dynamics User and behavioral modeling Human centric computing Opinion mining Recommendation engines Sentiment analysis Crowdsourcing and social data mining People oriented applications and services Track 2: Web of Data Data science and machine learning Big data analytics Data integration and data provenance Cognitive models Computational models Information search and retrieval Algorithms and knowledge management Knowledge bases and semantic networks Linked data management and analytics Data driven services and applications Track 3: Web of Things IoT data analytics Web infrastructures and devices Mobile web Distributed systems and devices Open autonomous systems Industrial multi-domain web Streaming data analysis Smart city applications and services Track 4: Web of Trust Hidden web analytics Blockchain analytics and technologies Web-scale security, integrity, privacy and trust Web cryptography Fake content and fraud detection Web safety and openness Monetization services and applications Track 5: Web of Health Personalized health management and analytics Health data exchange and sharing Big data in medicine Wellbeing and healthcare in the digital era Omics research and trends Healthcare and medical applications and services IMPORTANT DATES The Program Chairs are soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by ACM. Submissions are encouraged before the next deadlines: Feb 20th, 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). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. ORGANIZATION 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Wed May 1 14:40:51 2019 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Wed, 1 May 2019 21:40:51 +0300 Subject: Connectionists: 1st Call for Participation & data release: MediaEval 2019 Predicting Video Memorability Task Message-ID: [Apologies for cross-postings] ******************************************************* 1st CALL FOR PARTICIPATION & DEVELOPMENT DATA RELEASE Predicting Video Memorability Task 2019 MediaEval Benchmarking Initiative for Multimedia Evaluation http://www.multimediaeval.org/mediaeval2019/memorability/ ******************************************************* Register here: https://docs.google.com/forms/d/e/1FAIpQLSfxS4LPBhLQUTXSPT5vogtiSy7BuAKrPs6u6pZXcSV1Xs7XEQ/viewform ******************************************************* The Predicting Video Memorability Task focuses on the problem of predicting how memorable a video will be. It requires participants to automatically predict memorability scores for videos, which reflect the probability of a video being remembered. Participants will be provided with an extensive dataset of videos with memorability annotations, and pre-extracted state-of-the-art visual features. The ground truth has been collected through recognition tests, and, for this reason, reflects objective measures of memory performance. In contrast to previous work on image memorability prediction, where memorability was measured a few minutes after memorization, the dataset comes with ?short-term? and ?long-term? memorability annotations. Because memories continue to evolve in long-term memory, in particular during the first day following memorization, we expect long-term memorability annotations to be more representative of long-term memory performance, which is used preferably in numerous applications. Participants will be required to train computational models capable of inferring video memorability from visual content. Optionally, descriptive titles attached to the videos may be used. Models will be evaluated through standard evaluation metrics used in ranking tasks. *********************** Target communities *********************** Researchers will find this task interesting if they work in the areas of human perception and the impact of multimedia on perception such as image and video interestingness, memorability, attractiveness, aesthetics prediction, event detection, multimedia affect and perceptual analysis, multimedia content analysis, machine learning (though not limited to). *********************** Data *********************** Data is composed of 10,000 short (soundless) videos extracted from raw footage used by professionals when creating content. Each video consists of a coherent unit in terms of meaning and is associated with two scores of memorability that refer to its probability to be remembered after two different durations of memory retention. Memorability has been measured using recognition tests, i.e., through an objective measure, a few minutes after the memorization of the videos, and then 24 to 72 hours later. The videos are shared under Creative Commons licenses that allow their redistribution. They come with a set of pre-extracted features, such as: Dense SIFT, HoG descriptors, LBP, GIST, Color Histogram, MFCC, Fc7 layer from AlexNet, C3D features, etc. ****************************** Workshop ****************************** Participants to the task are invited to present their results during the annual MediaEval Workshop, which will be held by the end of October 2019, in Nice, France, co-located with ACM Multimedia 2019. Working notes proceedings are to appear with CEUR Workshop Proceedings (ceur-ws.org). ****************************** Important dates (tentative) ****************************** (open) Participant registration: March-May (released) Development data release: 1 May Test data release: 3 June Runs due: 20 September Working notes papers due: 11 October MediaEval Workshop, Nice, France: End of October (co-located with ACM Multimedia 2019) *********************** Task coordination *********************** Mihai Gabriel Constantin, University Politehnica of Bucharest, Romania Bogdan Ionescu, University Politehnica of Bucharest, Romania Claire-H?l?ne Demarty, Technicolor, France Quang-Khanh-Ngoc Duong, Technicolor, France Xavier Alameda-Pineda, INRIA, France Mats Sj?berg, CSC, Finland On behalf of the Organizers, Prof. Bogdan IONESCU ETTI - University Politehnica of Bucharest http://campus.pub.ro/lab7/bionescu/ From Tahrima.Rahman at utdallas.edu Thu May 2 00:21:38 2019 From: Tahrima.Rahman at utdallas.edu (Rahman, Tahrima) Date: Thu, 2 May 2019 04:21:38 +0000 Subject: Connectionists: [CFP--New Deadline]: TPM @ ICML 2019 -- DEADLINE EXTENDED TO MAY 10th! Message-ID: <09c1296580b94fefa5802bea93fcab9b@utdallas.edu> ---------------------- Call for Papers------------------------------ The 3rd Workshop on Tractable Probabilistic Modeling (TPM) @ ICML 2019, Long Beach, California, USA. https://sites.google.com/view/icmltpm2019/home ---------------------------------------------------------------- Important Dates **New deadline for paper submission: May 10th, 2019 AOE (UTC-12:00h) **Workshop Date: June 14/15, 2019 (TBA) ---------------------------------------------------------------- Tractable probabilistic modeling (TPM) is concerned with the inherent trade-off between the expressivity of the probabilistic models and the complexity of performing various types of inference on them, as well as learning them from data. Traditional topics in this area include efficient learning of probabilistic models, exact inference, and approximate routines with guarantees. Relevant model classes include low- and bounded-treewidth PGMs, determinantal point processes, exchangeable probabilistic models, arithmetic circuits, sum-product networks, cutset networks, probabilistic sentential decision diagrams, and more. Successful real-world applications of such models comprise: image classification, completion and generation, scene understanding, activity recognition, language and speech modeling, bioinformatics, collaborative filtering, verification and diagnosis of physical systems. This year's workshop will focus especially on bringing together researchers working on the different fronts and communities of TPM. We especially encourage submissions highlighting the challenges and opportunities for tractable inference and modeling within the rising field of probabilistic programming and the neural probabilistic modeling community, recently achieving impressive successes in many application fields. Here is a non-exhaustive list of possible venues. Any other work relevant to the TPM community will be highly appreciated. **Tractable inference with neural probabilistic models **Challenges in tractable probabilistic programming **New tractable representations in discrete, continuous and hybrid domains **Tractable models and explainable AI **Learning algorithms for tractable probabilistic models **Theoretical and empirical analysis of tractable modeling **Approximate inference algorithms with guarantees on approximation quality **Applications of tractable probabilistic modeling ---------------------------------------------------------------------------- Submission Instructions: **Recently published research papers can be submitted as they were accepted **Original papers (up to 8 pages, not including references) and abstracts (up to 2 pages, not including references) are required to follow the same style guidelines of ICML 2019 All submissions must be electronic, in the above format and submitted through EasyChair (link below). Reviewing for TPM 2019 is single-blind and we also encourage authors to share code and data for reproducibility. Submission Link: https://easychair.org/conferences/?conf=tpm2019 ---------------------------------------------------------------------------- Organizers: Daniel Lowd (University of Oregon) Tahrima Rahman (University of Texas, Dallas) Antonio Vergari (Max-Planck-Insitute for Intelligent Systems, University of California, Los Angeles) Alejandro Molina (TU Darmstadt) Pedro Domingos (University of Washington) -------------- next part -------------- An HTML attachment was scrubbed... URL: From ijcci at insticc.info Thu May 2 02:40:00 2019 From: ijcci at insticc.info (ijcci at insticc.info) Date: 2 May 2019 07:40:00 +0100 Subject: Connectionists: CFP IJCCI 2019 - 11th Int.l Joint Conf. on Computational Intelligence (Vienna/Austria) Message-ID: <20190502063954.1.CDC3C516979769C5@insticc.info> SUBMISSION DEADLINE 11th International Joint Conference on Computational Intelligence Submission Deadline: May 20, 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 In Cooperation with: AI*IA, APPIA, ERCIM and APRP. 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. Francisco Xavier, Lote 7 Cv. L 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 Albrecht_Zimmermann at gmx.net Thu May 2 10:41:30 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Thu, 2 May 2019 16:41:30 +0200 Subject: Connectionists: [CfP] 6th Workshop on Sports Analytics (MLSA19) @ ECML PKDD 2019 Message-ID: An HTML attachment was scrubbed... URL: From dboscaini at fbk.eu Thu May 2 10:53:14 2019 From: dboscaini at fbk.eu (Davide Boscaini) Date: Thu, 2 May 2019 16:53:14 +0200 Subject: Connectionists: ICIAP 2019 - Paper submission deadline extended to 6th May 2019 Message-ID: Dear colleagues, we are pleased to announce you that the paper submission deadline for ICIAP 2019 has been extended to May 6, 2019. Call for Papers ICIAP 2019 (https://event.unitn.it/iciap2019) is the 20th edition of a series of conferences organized biennially by the Italian Member Society (CVPL, ex GIRPR) of the International Association for Pattern Recognition (IAPR). The event will be co-located with the 13th edition of the ACM International Conference on Distributed Smart Cameras (ICDSC) ( http://icdsc.org). The focus of the conference is on both classic and recent trends in computer vision, pattern recognition and image processing, and covers both theoretical and applicative aspects, with particular emphasis on the following topics: * Video Analysis & Understanding * Pattern Recognition and Machine Learning * Deep Learning * Multi-view Geometry and 3D Computer Vision * Image Analysis, Detection and Recognition * Multimedia * Biomedical and Assistive Technology * Digital Forensics * Image Processing for Cultural Heritage The conference is structured in oral and poster sessions and offers invited lectures from distinguished speakers. Satellite workshops and tutorials are also organized. Accepted papers will be included in the ICIAP 2019 Conference Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS). Every accepted paper requires at least one author registered with regular registration fee and presenting the work at the conference. The conference will be held in Trento, Italy on 9-13 September, 2019. Dates: * Main Conference: 11-13th September 2019 * Workshop and Tutorials: 9-10th September 2019 * Full paper submission: 12th April 2019 (extended to 6th May 2019) * Notification of acceptance: 7th June 2019 * Camera ready submission: 21st June 2019 Submission: The maximum number of pages is 10 + 1 page containing only references. Papers will be selected by a review process. Authors of ICIAP 2019 papers can find complete instructions of how to format their papers in the conference webpage ( https://event.unitn.it/iciap2019). Springer?s proceedings LaTeX templates are available in Overleaf. Springer encourages authors to include their ORCIDs in their papers. Additional information can be found in "Springer LNCS ? Information for Authors of Computer Science Publications". Papers can be submitted using the CMT available at https://cmt3.research.microsoft.com. When submitting the camera ready, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign the Consent-to-Publish form, through which the copyright for their paper is transferred to Springer. -- -- Le informazioni contenute nella presente comunicazione sono di natura? privata e come tali sono da considerarsi riservate ed indirizzate? esclusivamente ai destinatari indicati e per le finalit? strettamente? legate al relativo contenuto. Se avete ricevuto questo messaggio per? errore, vi preghiamo di eliminarlo e di inviare una comunicazione? all?indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -------------- next part -------------- An HTML attachment was scrubbed... URL: From patirniche at biologie.uni-muenchen.de Thu May 2 13:28:01 2019 From: patirniche at biologie.uni-muenchen.de (Patirniche, Dinu) Date: Thu, 02 May 2019 19:28:01 +0200 Subject: Connectionists: A revised electromagnetic theory of the brain Message-ID: <5dad4ca9b4dae9541b9d23f8e535f7fb@bio.lmu.de> Dear Colleagues, A common dogma of neuroscience is that all electrical events occurring in the brain are well described by an electrostatic theory. However, adopting a geometric attitude it becomes immediately clear that the propagation of an action potential induced a non-conservative electric field within nearby spines, and thus an electromagnetic description of the function of a brain is unavoidable. I would like to present to you with a revised and simplified version of the theory I advanced last year, entitled "Dynamic Aspects of Finite Architectures". The current work can be accessed here: doi.org/10.13140/RG.2.2.20738.73925 . Best, Dinu Patirniche. From djaeger at emory.edu Thu May 2 17:13:30 2019 From: djaeger at emory.edu (Jaeger, Dieter) Date: Thu, 2 May 2019 21:13:30 +0000 Subject: Connectionists: Neural Modeling Postdoc Position At Emory University, Atlanta Message-ID: A postdoctoral position is available for working in an NIH BRAIN initiative funded project on the role of the basal ganglia in motor decision making in behaving mice. The project aims to elucidate how subcortical structures feed back onto and influence cortical processing. The open position with a start date of Sept. 1, 2019 will involve biophysically detailed modeling of basal ganglia ? thalamo-cortical interactions in the Jaeger lab at Emory University in Atlanta https://scholarblogs.emory.edu/jaegerlab/. An ongoing interaction with experimentalists is an important component of the project. Emory University presents a strong training environment in computational and systems neuroscience (e.g. http://livingtheory.emory.edu/ and http://biomed.emory.edu/PROGRAM_SITES/NS/research/computational-neuroscience.html ). The successful candidate needs previous computational modeling experience using the NEURON software and a strong background in the biophysics of neurons. Pay is according to the posted NIH NRSA schedule https://grants.nih.gov/grants/guide/notice-files/NOT-OD-19-036.html. If interested & qualified, please contact djaeger at emory. ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments). -------------- next part -------------- An HTML attachment was scrubbed... URL: From nkopco at gmail.com Thu May 2 20:45:11 2019 From: nkopco at gmail.com (Norbert Kopco) Date: Thu, 2 May 2019 20:45:11 -0400 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: FINAL CALL! 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)*, as well *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. Invited talks and talks by ALT consortium (for details click here ): * *Jana Ba?n?kov?, *Slovak Academy Of Sciences ? ? ?It?s hard to give a?good talk? ? the neural correlates of interpreting implicit meaning? * *Robert Baumgartner,* Austrian Academy of Sciences ? ?Effects of spatial auditory cue realism on selective attention control and future perspectives on studying perceptual learning of these cues across the human lifespan? * *Virginia Best, *Boston University, USA ? ?Investigating a visually guided hearing aid? * *Lauren Calandruccio, *Case Western Reserve University, USA ? ?Masked-sentence recognition: the effect of target and masker speech similarity? ** * *Inyong Choi, *The University of Iowa, USA ? ?Adapting to simultaneous electric and acoustic stimulation for word-in-noise recognition in listeners with single-sided deafness? * *John Culling, *Cardiff University, UK????Speech intelligibility in rooms? * *Erick Gallun, *National Center for Rehabilitative Auditory Research, USA????Flipping the laboratory: Clinical research tools for bringing psychoacoustical testing to the patient? * *Andrej Kr??, *Hannover Medical School, Germany????Effective Connectivity Between Primary and Secondary Cortical Areas is Shaped by Early Hearing? * *Norbert Kop?o, *P.J.??af?rik?University, Slovakia????Adaptation to Reverberation in?Speech and Distance Perception? * *Bernhard Laback, *Austrian Academy of Sciences????Re-weighting of binaural cues based on visual feedback? * *Piotr Majdak, *Austrian Academy of Sciences????Computational models for listener-specific predictions of spatial audio quality? * *Petr Mar??lek, *Charles University, Czech Republic????Just noticeable differences in low frequencies below 500 Hz, loudness, localization; model and psychophysics? * *Catarina Mendonca, *University of Azores, Portugal ? ?Changes in auditory space following audiovisual experience? * *Josefa Oberem, *RWTH Aachen University, Germany ? ?Examining auditory selective attention in complex acoustic environments? * *John van Opstal, *Radboud University, Netherlands ? ?Perceived Target Range Shapes Human Sound-Localisation Behaviour? * *Nelli Salminen, *Aalto?University, Finland????Neural correlates of human spatial hearing measured with EEG and MEG? * *Dan Sanes, *New York University, USA?? ?Learning and attention enhance cortex neuron sensitivity during auditory task performance? * *Aaron Seitz, *University of California, USA ? ?Gamifying Perceptual Learning? * *Filip Smol?k, *Academy of Sciences of the Czech Republic ? ?Adaptation and learning in early language acquisition? * *Brigitta T?th, *Hungarian Academy of Sciences?? ?Top-down and bottom-up attention bias on change detection in auditory foreground and background? * *Beverly Wright, *Northwestern University, USA????Auditory perceptual learning? *Venue* Lecture hall 2.17T,Faculty of Science / Technicom building, P. J. ?af?rik University, Jesenn? 5, 04001 Ko?ice Slovakia . *Organizers* Norbert Kop?o, P. J. ?af?rik 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 *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 15, 2019*. This workshop is supported by theEU H2020-MSCA-RISE-2015 project #691229 . -------------- next part -------------- An HTML attachment was scrubbed... URL: From stolu at elektro.dtu.dk Fri May 3 03:09:18 2019 From: stolu at elektro.dtu.dk (Silvia Tolu) Date: Fri, 3 May 2019 07:09:18 +0000 Subject: Connectionists: PostDoc or research assistant in neuro-robotics at the Technical University of Denmark In-Reply-To: References: <5039198bae33423ca2f3dac6b6457bc7@elektro.dtu.dk>, Message-ID: <350c99858715422fa734378a7809a54c@elektro.dtu.dk> Dear all, A postdoctoral position or research assistantship is available for working at the Department of Electrical Engineering at the Technical University of Denmark. The position is in the research field of neuro-robotics. The candidate will be part of a team that is already involved in the framework of the EU Flagship Project ?Human Brain Project? (HBP). The position addresses research in neural computation for robotics systems. The purpose of the position is to explore new algorithms for real-time motor control and motor learning of compliant robotic systems, mimicking brain computations and connections. The focus will be on the design, programming and validation of different types of bio-inspired architectures for adaptive control. The main objective is to implement an architecture, which is capable to adapt to different robot system dynamics. The successful candidate will explore the use of bio-inspired neural networks to control virtual robots in the Neuro-Robotics Platform (NRP, https://neurorobotics.net) built within the Human Brain Project subproject 10 ?Neuro-robotics? and to transfer the results on a real robot. In the position, there will be a focus on creating such real-time demonstrators. Candidates should hold a MSc in electrical engineering or related field. The candidate is required to have expertise about robotics applications (hw and/or sw). Candidates without such experience will not be considered for the position. Knowledge in artificial intelligence methods, in computational neuroscience, as well as experience in neuromorphic programming and with the neuro-robotic platform of the Human Brain Project are an advantageous. Best regards / Med Venlig Hilsen, Silvia Tolu Assistant Professor, PhD Researcher in Bio-Inspired Robotics Automation and Control Group Department of Electrical Engineering Technical University of Denmark ------------------------------------ Richard Petersens Plads Building 326, room 110 2800 Kgs. Lyngby Direct +45 45253928 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PostDoc_Research_Assistant_in_BioRobotics.pdf Type: application/pdf Size: 81149 bytes Desc: PostDoc_Research_Assistant_in_BioRobotics.pdf URL: From lucio.marcenaro at unige.it Fri May 3 03:12:15 2019 From: lucio.marcenaro at unige.it (Lucio Marcenaro) Date: Fri, 3 May 2019 09:12:15 +0200 Subject: Connectionists: PhD positions now available at Joint Doctoral Programme in Interactive and Cognitive Environments Message-ID: <68530184-b630-583d-3584-f270b511ecf3@unige.it> _*Pre-apply here: *__*https://forms.gle/RKFZM6Ha1iU6Zduu9*_ PhDs are starting in*November 2019 with a?3?years scholarship*; expiration date for first level applications: *May 31st, 2019* on the following research areas: * Learning of interaction models from multisensory signals for artificial self-aware agents capable of imitative behaviors * Multimodal single and collective self-awareness agent models for autonomous ground and aerial vehicles * Machine learning methods for cognitive AI-enabled radio The PhD scholarships are available within the Joint Doctoral Programme in Interactive and Cognitive Environments (JD ICE) that is a PhD programme organised by the?Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture at University of Genoa, theCentre for Intelligent Sensing at Queen Mary University of London ?and theIntelligent Systems Lab of the Universidad Carlos III de Madrid . General information Applications are invited for PhD open positions. JD ICE provides PhD training in the fields of multimedia signal processing, data fusion, computer vision, cognitive dynamic systems and machine learning, and offers advanced research projects designed for ambitious students willing to become word-leading researchers. PhD students will benefit from a joint-supervision model and will spend main part of their PhD programme in Genova, Italy with a 12 months (minimum) mobility to the secondary institution. The ISIP40 group, active in the DITEN department in the Faculty of Engineering of the University of Genoa has focused its attention mostly on: * Cognitive Dynamic Systems * Multisensor Signal Processing for Surveillance * Software and Cognitive Radio * Bayesian Object and Situation assessment * Interactive and Cognitive Environments Open positions for PhD (dottorato di ricerca) PhD course starts at the beginning of November 2019; expiration date for first level applications:*May 31st, 2019*in the following research areas: 1. *Learning of interaction models from multisensory signals for artificial self-aware agents capable of imitative behaviors*: this research theme will study novel signal processing techniques based on probabilistic graphical models and dynamic Bayesian networks for understanding the dynamics of cognitive systems and learn how to transfer this acquired knowledge; 2. *Multimodal single and collective self-awareness agent models for autonomous ground and aerial vehicles*: this project will study bio-inspired probabilistic techniques for modeling artificial self-aware systems and interactions between aerial and ground vehicles; 3. *Machine learning methods for cognitive AI-enabled radio*: this research theme will study algorithms and methods for cognitive radio terminals for opportunistic spectrum usage to optimize transmission rate and external attack robustness Applications Applications are invited for PhD open positions, starting at the?November 2019 with ISIP40?research group of the Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN), University of Genova ? Genova (ITALY). Requirements: 1. *Laurea Vecchio Ordinamento*?or *Laurea Specialistica*?degree for Italian applicants in one of the following fields (or another related field); *Master of Science*?or equivalent degree for applicants from abroad: * Telecommunication Engineering * Electronic Engineering * Information Engineering * IT * Computer Science (or Laurea degree in Informatica) 2. Basic knowledge in the following topics: * Signal Processing * Communication Systems * Pattern Recognition * Image/Video Processing 3. English knowledge (IELTS certificate with minimum marks 6.5) Deadline for applying: Interested applicants must apply no later than *May 31st, 2019*. How to apply? The application is divided into two stages. In the first phase, the interested applicants should pre-apply here: https://forms.gle/RKFZM6Ha1iU6Zduu9 In the second phase, applicants whose CV fits with requirements will be encouraged and advised to present an application for the official admission competition at Genoa University online application closing on June 12th, 2019. PhD economic conditions The research grant consists of about 16.5Keuro/year Notes: A complete C.V.?must contain at least the education degrees and the related information, experiences (both academic and non-academic), projects, list of publications, and every other thing you think can be useful If you have not graduated yet, provide some information about the probable graduation date. If you have some publications, you can also send some of the important ones together with your CV. You can also send any other information that you think can be useful and effective for your profile. More information from: http://phd-jdice.diten.unige.it/ https://isip40.it/ -- *Lucio Marcenaro, PhD* Assistant Professor Signal Processing & Telecommunications Group Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN) Via all'Opera Pia 11, 16145 Genova (Italy) Ph. +39 010 3532060 |Mob. +39 3482360850 Email: lucio.marcenaro at unige.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tingting.Mu at manchester.ac.uk Fri May 3 06:06:01 2019 From: Tingting.Mu at manchester.ac.uk (Tingting Mu) Date: Fri, 3 May 2019 10:06:01 +0000 Subject: Connectionists: Research Scientist Job on Machine Learning and Artificial Intelligence (KTP Associate), University of Manchester, UK Message-ID: <97E2F964-92AB-4F72-AB0C-53C2533BB846@manchester.ac.uk> Research Scientist Job on Machine Learning and Artificial Intelligence (KTP Associate), University of Manchester, UK Job link: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=17225 ======================== Location : Kalibrate Closing Date : 28/05/2019 Salary : ?32,236 to ?39,609 per annum according to experience + a Personal Development Budget totalling ?4,000 Employment Type : Fixed Term Faculty / Organisational Unit : Science & Engineering Division : Computer Science - Machine Learning and Optimisation Hours Per week : Full time Contract Duration : 24 months This is an exciting and unique opportunity for an ambitious recent PhD graduate or post-doctoral research scientist with the ability and confidence to manage a strategically important Knowledge Transfer Partnership (KTP) project with Kalibrate Technologies Limited. As a market leader in fuel pricing and network planning technologies, Kalibrate develops and delivers strategy and technology solutions to drive greater value from the fuel and convenience retail chain. Today, the automotive industry is going through its biggest transformation from combustible engines to vehicles that run on alternative fuels. The leading alternative fuel within this industry is electric charging. With this evolution underway, this KTP project creates a distinguishing and exciting opportunity for you to develop a new generation of scientific methods to fill in the technical and market gap needed for the infrastructure development and deployment of electric vehicle charging facilities. From an individual professional development point of view, this project provides a rare and unique opportunity for you to become the first generation of experts within the new car energy retail market. We are looking to recruit a research scientist to undertake this 24 month project which has an overall aim of developing and embedding machine learning and artificial intelligence techniques to create predictive network planning and location selection models capable of determining optimal infrastructure needs for electric vehicle charging facilities, based on projected demand. The position will provide you with a unique opportunity to develop and apply state-of-the-art machine learning and artificial intelligence techniques methods to address a cutting edge business problem which has a high level of commercial applicability. You will play a vital role in introducing new computational and decision analysis techniques to support strategically important future business development. The position is particularly suitable if you want to bridge academic and industrial research excellence. You will be part of a collaborative development and knowledge-transfer project between The University of Manchester and Kalibrate. You will not only receive formal management training but will also have access to a ?4,000 personal and professional development budget. Based at Kalibrate Corporate HQ on Deansgate in Manchester, you will work directly with supervisors from both the University and Kalibrate and will use the facilities and resources of both organisations. The School is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women?s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School holds a Bronze Award for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Enquiries about the vacancy, shortlisting and interviews: Name: Dr Xiao-Jun Zeng or Dr Tingting Mu Email: x.zeng at manchester.ac.uk; tingting.mu at manchester.ac.uk Please see link below for the Further Particulars document which contains the person specification criteria that you should address in your application. All appointments will be made on merit. For further information, please visit: http://www.manchester.ac.uk/connect/jobs/equality-diversity/awards/athena-swan/ ======================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From viktor.jirsa at univ-amu.fr Fri May 3 12:49:42 2019 From: viktor.jirsa at univ-amu.fr (Viktor Jirsa) Date: Fri, 3 May 2019 18:49:42 +0200 Subject: Connectionists: Postdoc in large-scale brain network modeling and epilepsy Message-ID: Dear colleagues, May I please ask you to diffuse this here attached announcement for two postdoc positions available in my lab as of now? Thank you! With my best regards, Viktor ? Viktor Jirsa Directeur, Institut de Neurosciences des Syst?mes UMR INSERM 1106 Aix-Marseille Universit? Facult? de M?decine, 27, Boulevard Jean Moulin 13005 Marseille, France tel : ++33 (0)4 91 32 42 51 http://ins.univ-amu.fr/ ?????? Postdoc in large-scale brain network modeling and epilepsy Two postdoc positions are available in the laboratory of Viktor Jirsa at the Institut de Neurosciences des Syst?mes (http://ins-amu.fr/ ), Aix-Marseille University, France. Both positions are part of the Human Brain Project (https://www.humanbrainproject.eu/en/ ). The post-doctoral fellows will join an international team of computational neuroscientists working on the creation of personalized large-scale brain network models in clinical applications, in particular epilepsy. The patient cohort is part of the clinical trial EPINOV (?Improving Epilepsy Surgery Management and Prognosis using Virtual Brain Technology?, http://www.epinov.com ), which evaluates the use of personalized computational brain network models in the clinical decision making of epilepsy surgery. Key words Virtual Brain; computational neuroscience; personalized brain network model; connectome; epilepsy; stimulation; surgery. Summary We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions and dysfunctions (epilepsy, dementia). Currently, we seek to fill two post-doctoral positions in the domain of epilepsy research. The first postdoctoral fellow will create virtual brain models of individual patients using techniques of nonlinear multi-scale modeling. The patients? brain models will be validated against intracranial EEG data using state-of-the-art machine learning approaches. The second postdoctoral fellow will retrace the same steps in rodent models. The objective is to discover novel minimally invasive techniques of network intervention to stop seizures using stimulation and disconnection paradigms. The successful candidates will join a dynamic interdisciplinary team working towards the same goals. Qualification Candidates should hold a degree in computational neuroscience, biomedical engineering, statistics, mathematics, physics, or a closely related field. Comprehensive knowledge and experience in network sciences, nonlinear dynamic system theory, data analysis and signal processing techniques is appreciated. Prior experience in (scalp or intracranial) EEG and/or neurophysiological recordings (LFP) are also valued. Ability to program in a numerically oriented language (R, Python, MATLAB) is a plus. Excellent communication skills, both in writing and oral presentations, are indispensable. Terms of salary and employment The position is initially for one year, renewable on an annual basis based on performance. Salary will depend on diploma and experience. Operating language in the laboratory is English and French. Contact For applications, please prepare the following items - CV - Letter of motivation - Two names of referees including their email addresses and websites and send them to lisa.otten at univ-amu.fr | Institut de Neurosciences des Syst?mes https://ins-amu.fr/ . -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Postdoc_profile 2019_2.pdf Type: application/pdf Size: 55581 bytes Desc: not available URL: -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Fri May 3 08:46:31 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Fri, 3 May 2019 14:46:31 +0200 Subject: Connectionists: [CfP] ISWC 2019 - Call for Journal, Industry, Posters & Demos, Outrageous Ideas, and Workshop papers and Semantic Web Challenges systems Message-ID: 18th International Semantic Web Conference (ISWC 2019) ?Knowledge Graphs, Linked Data, Linked Schemas and AI on the Web? Auckland, New Zealand, 26-30 October, 2019 https://iswc2019.semanticweb.org/ The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. ISWC attracts a large number of high quality submissions every year and participants from both industry and academia. ISWC brings together researchers from different areas, such as artificial intelligence, databases, natural language processing, information systems, human computer interaction, information retrieval, web science, etc., who investigate, develop and use novel methods and technologies for accessing, interpreting and using information on the Web in a more effective way. Follow us: Twitter: @iswc_conf , #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/groups/13612370 Facebook: https://www.facebook.com/ISWConf/ Become part of ISWC 2019 by submitting to the following tracks & activities or just attend them! (All deadlines are 23:59:59 Hawaii time.) In this announcement: * Highlights 1. Call for Journal papers 2. Call for Industry papers 3. Call for Posters & Demos papers 4. Call for Outrageous Ideas 5. Call for Workshop papers 6. Call for Semantic Web Challenges systems * Highlights ******************************************* * Journal Track: Eligible papers should either have been published within the Semantic Web Journal or Journal of Web Semantics or must be clearly fitting the ISWC topics, if published in alternative established and recognized journals. Eligible papers should have been published (even only in the electronic version) in the last around two years, starting from January 1st 2017 until present. * The Outrageous Ideas track is sponsored by the prestigious CCC Blue Sky ideas * Posters & Demos track: poster submissions will be subject to **double blind** peer review, whereas demonstration submissions are single-blind. 1. Call for Journal papers ******************************************* The journal track is intended as a forum for presentations of significant Semantic Web-related research results that have been published recently in well known and established journals and have never been presented at any Semantic Web-related conference. The goal is to give visibility of these results to a conference audience as well as to promote discussions concerning such results. Eligible papers should either have been published within the Semantic Web Journal or Journal of Web Semantics or must be clearly fitting the ISWC topics, if published in alternative established and recognized journals (see the list below). Specifically, eligible papers should have been published (even only in the electronic version) in the last around two years (starting from January 1st 2017 until present), though exceptions could be made for papers judged as potentially very influential but that have been published before January 2017. The authors of such papers will have the opportunity to present their work during the conference days. The abstracts of accepted papers will be published on the conference web site and the papers themselves will be compiled into a CEUR-WS Proceedings for easy Web retrieval and archival, but they will not be part of the printed Springer conference proceedings. Metadata for all accepted submissions will be included in the conference metadata corpus. Detailed information about metadata creation will be provided with the acceptance notification of the successful submissions. Further info: https://iswc2019.semanticweb.org/call-for-journal-track/ == Important Dates == Submissions due May 29, 2019 == Program Chairs == Contact: iswc2019-journal at inria.fr Claudia d?Amato, University of Bari, Bari, Italy Lalana Kagal, MIT, Cambridge, MA, USA 2. Call for Industry papers ******************************************* The industry track seeks to present the state of adoption of semantic technologies in industrial settings. Semantics is used in applications in many industries, including media, financials, telecommunications, healthcare, life sciences, government, intelligence, smart cities,and cultural heritage. It enables applications capabilities as varied as business intelligence, analytics, search, content management, knowledge management, recommendation systems, information extraction and data integration. We encourage results and ideas from companies large and small. We welcome contributions about success stories as well as experience reports and discussions of obstacles that stand in the way of large-scale adoption of semantic technologies. Across all submissions, emphasis should be put on demonstrating the business value and impact created by using semantic technologies to address real life problems. Come and join us at the ISWC 2019 industry track to share your experiences with the largest community of researchers and practitioners in the Semantic Web field! Topics of Interest Topics of interest include, but are not limited to, the following: - Applications of semantic technologies in specific industrial domains (automotive, financial, healthcare and life sciences, energy industry, etc.) - Development and application of knowledge graphs for specific industries - Successful application domains: knowledge management, data integration, search, business intelligence, data analytics, semantics-based explainable AI, etc. - Industrial and business trends related to the usage of Linked Data, Open Data and Semantic Web technologies - Comparison of semantic technologies with alternative or conventional approaches for industry and business analytics in real world scenarios - Financial and strategic investments in semantic technologies Successful submissions to this track will emphasize: - Real-world deployment experiences and strategic decision-making related to semantic technologies - Success stories of business-relevant, industrial deployments of Semantic Web technologies - Discussion of scalability of the presented technologies - Quantitative measurements of the business value created by using semantic technologies - A clear description of the impact in the respective industry and motivation for the need of semantic web technologies - Best practises and concrete lessons learned from these experiences, measuring in a meaningful way the role of semantics and how it differs from a solution that would otherwise be a state of the art IT solution with no semantic technologies - Areas where further research (or research in novel directions) is required, positioning and outlining potential strategic applications and use cases of semantic technologies Further info: https://iswc2019.semanticweb.org/call-for-industry/ == Important Dates == Submissions due June 28, 2019 == Program Chairs == Contact: iswc2019-industry at inria.fr Anna Lisa Gentile, IBM Research, San Jose, California, US Christophe Gueret, Accenture Labs Dublin, Dublin, Ireland 3. Call for Posters & Demos papers ******************************************* The ISWC 2019 Posters and Demonstrations complement the paper tracks of the conference and offer an opportunity for presenting late-breaking research results, on-going research projects, and speculative or innovative work in progress. The informal setting of the Posters and Demonstrations encourages presenters and participants to engage in discussions about the work. Such discussions can be invaluable inputs for the future work of the presenters, while offering participants an effective way to broaden their knowledge of the emerging research trends and to network with other researchers. We invite submissions relevant to the area of the Semantic Web and which address, but are not limited to, the topics of the Research Track, the Resources Track, the In-Use Track, and the Industry Track. Posters that describe reports on Semantic Web software systems (free or commercial), descriptions of completed work, and work in progress are all welcome. Demonstrations are intended to showcase innovative Semantic Web related implementations and technologies, both in academia and in industry. We explicitly welcome entries from the industry. However, submissions for posters and demonstrations should go beyond pure advertisements of commercial software packages and convey a minimal scientific contribution. Authors of full papers accepted for the Research Track, the Resources Track, the In-Use Track, and the Industry Track are explicitly invited to submit a demonstration. The submission should be formatted as the other demonstrations but must cite the accepted full paper and needs to include an explanation of its added value with respect to the conference paper. The added value could include: a) extended results and experiments not presented in the conference paper for reasons of space, or b) a demonstration of a supporting prototype implementation. Further info: https://iswc2019.semanticweb.org/call-for-posters-demos/ == Important Dates == Submissions due June 28, 2019 == Program Chairs == Contact: iswc2019-poster-demo at inria.fr Mari Carmen Su?rez-Figueroa, Universidad Polit?cnica de Madrid (UPM) and Ontology Engineering Group (OEG), Spain Gong Cheng, Nanjing University, China 4. Call for Outrageous Ideas ******************************************* The Outrageous Ideas track is part of ISWC again! As in 2011 and 2018, this track is sponsored by the prestigious CCC Blue Sky ideas and it solicits visionary ideas, long term challenges, and opportunities for the Semantic Web that are outside of the current topics in the field and are not mature or specific enough to be accepted in the regular research track. The contributions will have to have convincing arguments that the proposed topic is promising as well as relevant, and they should relate, compare, or contrast their proposition as much as possible to the existing literature from relevant fields, possibly including fields outside the Semantic Web Community. We solicit visionary papers with significant impact on the field as well as outside the field, where the following topics might provide some inspiration: - Actionable and reliable knowledge generation - Blockchain and the Semantic Web - Deep learning and knowledge graphs - Graph embeddings - Knowledge cyborgs - Knowledge driven virtual reality - Knowledge Graphs in Nature - Semantic data programming and weak supervision - Semantic web and lifelong learning - Semantic Web in low resource settings - Trust and reliable knowledge on the Web - Further info: https://iswc2019.semanticweb.org/call-for-outrageous-papers/ == Important Dates == Submissions due June 28, 2019 == Program Chairs == Contact: iswc2019-outrageous-idea at inria.fr Abraham Bernstein, University of Z?rich, Department of Informatics, Z?rich, Switzerland Maria Keet, University of Cape Town, Cape Town, South Africa 5. Call for Workshop papers ******************************************* ISWC is the premier venue for presenting innovative systems and research results related to the Semantic Web and Linked Data, attracting 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. Besides the main technical program, ISWC will host several workshops on topics related to the general theme of the conference. The role of the workshops is to provide a setting for focused, intensive scientific exchange among researchers and practitioners interested in a specific topic. As such, workshops are the primary venues for the exploration of emerging ideas as well as for the discussion of novel aspects of established research topics. Find our workshops & deadlines here: https://iswc2019.semanticweb.org/program-workshop/ 6. Call for Semantic Web Challenges systems ******************************************* ISWC 2019 will run multiple Challenges (SWCs) with the aim to evaluate and compare software solutions for the Semantic Web in a systematic way. Each SWC will: - Define a task to be addressed, - Provide a training and a test dataset and - Define evaluation measures to compare the performance of participating systems. Find our challenges & deadlines here: https://iswc2019.semanticweb.org/challenges/ Looking forward to your submissions & see you all in Auckland! The ISWC 2019 Organising Team ( https://iswc2019.semanticweb.org/organizing-committee/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Sat May 4 08:08:41 2019 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Sat, 4 May 2019 12:08:41 +0000 Subject: Connectionists: CFP: KDD BigMine-19 - Workshop on Big Data on Streams and Heterogeneous Source Mining Message-ID: Big Data Mining (KDD BigMine-19) The 8th International Workshop on Big Data on Streams and Heterogeneous Source Mining - A KDD2018 Workshop KDD2018 Conference Dates: August 4-8, 2019 Workshop Date: Aug 5, 2019 Anchorage, Alaska - USA https://bigmine.github.io/bigmine19/ Scope The goal of the workshop is to provide a forum to discuss important research questions and practical challenges in big data mining and related areas. Novel ideas, controversial issues, open problems and comparisons of competing approaches are strongly encouraged. Representation of alternative viewpoints and discussions are also strongly encouraged. We invite submission of papers describing innovative research on all aspects of big data mining. Work-in-progress papers, demos, and visionary papers are also welcome. Papers emphasizing theoretical foundations, algorithms, systems, applications, language issues, data storage and access, architecture are particularly encouraged. ***************** Topics *Examples of topics of interest include: *Scalable, Distributed and Parallel Algorithms *Designing light?weighted data mining algorithm *New Programming Model for Large Data beyond Hadoop/MapReduce, STORM, streaming languages *Federated training using data from multiple devices *Mining Algorithms of Data in non-traditional formats (unstructured, semi-structured) *Applications: social media, Internet of Things, Smart Grid, Smart Transportation Systems *Streaming Data Processing *Heterogeneous Sources and Format Mining *Privacy issues of on-?device user data *Systems Issues related to large datasets: clouds, streaming system, architecture, and issues beyond cloud and streams. *System and platform for on?-device learning *Interfaces to database systems and analytics. *Evaluation Technologies *Integrating the design of human ?computer interaction with machinelearning algorithms *Visualization for Big Data *Applications: Large scale recommendation systems, social media systems, social network systems, scientific data mining, environmental, urban and other large data mining applications. **************** Submission Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Authors are strongly encouraged to make data and code publicly available whenever possible. More details on submission: https://bigmine.github.io/bigmine19/submission.html Key Dates Paper Submission deadline: May 12, 2019, 23:59PM Pacific Standard Time Acceptance notification: June 1, 2019 Workshop: August 5, 2019 Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From marcel.van.gerven at gmail.com Sat May 4 09:54:04 2019 From: marcel.van.gerven at gmail.com (Marcel van Gerven) Date: Sat, 4 May 2019 15:54:04 +0200 Subject: Connectionists: Assistant/Associate Professorship in AI Message-ID: <5F8FB812-B125-4005-A0B8-867D93F1AE57@gmail.com> Assistant or Associate Professor in Cognitive Artificial Intelligence The Donders Centre for Cognition (DCC), embedded in the Donders Institute for Brain, Cognition and Behaviour, and the School of Artificial Intelligence at the Radboud University Nijmegen are looking for an Assistant/Associate Professor in Cognitive Artificial Intelligence. With this new position, the goal is to advance fundamental research in brain-inspired computing, broadly relevant for the themes of the Donders Institute. We seek excellent candidates with a strong mathematical background who aim to bridge the gap between artificial and natural intelligence, contributing to creating the next generation of intelligent machines. You will be expected to: ? develop courses and conduct AI teaching at undergraduate and post-graduate levels; ? perform top-quality research in Artificial Intelligence; ? interact and collaborate with other researchers and specialists in academia and/or industry; ? be an inspiring member of our staff with excellent communication skills. Work environment Strategically located in Europe, Radboud University is one of the leading academic communities in the Netherlands. A place with a personal touch, where top-flight education and research take place on a beautiful green campus in modern buildings with state-of-art facilities. The successful candidate will be embedded in the Donders Centre for Cognition (DCC), part of the Donders Institute, and the school of Psychology and Artificial Intelligence (AI), both part of the Faculty of Social Sciences. The Donders Institute for Brain, Cognition and Behaviour is home to more than 700 researchers from 35 countries who collaborate in an open community and share the goal of contributing to the advancement of the brain, cognitive and behavioural sciences through investigator-driven research, and improving health, education and technology by applying scientific insights. The objective of the assistant/associate professorship is to develop state-of-the-art AI research of international standing and to contribute to the teaching, guiding students to grow in insight, skill set and future perspective. The DCC and the Donders Institute provide excellent facilities such as a computing cluster, robot lab, a virtual reality lab, brain imaging, behavioural labs and a technical support group. What we expect from you ? a PhD degree in Artificial Intelligence, Computational Neuroscience, Computer Science or a related discipline; ? preferably post-doctoral experience; ? an excellent track record in scientific research, as evidenced by publications in top-tier AI conferences and journals; ? proven ability to provide inspiring teaching in English; ? Dutch university teaching qualification or the willingness to obtain one; ? experience in the acquisition of external funding and an entrepreneurial mindset; ? enthusiasm and ability to work together in a team. What we have to offer ? employment: 1.0 FTE; ? depending on your profile, you will be appointed as an Assistant Professor: a maximum gross monthly salary of ? 5,656 (salary scale 12) or Associate Professor: a maximum gross monthly salary of ? 6,738 (salary scale 14) based on a 38-hour working week; ? in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; ? duration of the tenure track will depend on your expertise and experience ; ? classification in the Dutch university job-ranking system (UFO): Assistant Professor or Associate Professor, Level 1; ? you will be able to make use of our Dual Career Service where our Dual Career Officer will assist with family related support, such as child care, and help your partner prepare for the local labour market and with finding an occupation. Other Information The Donders Institute and the Faculty of Social Sciences are equal opportunity employers, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Are you interested? You should upload your application exclusively using the registration button to be found at: https://www.ru.nl/werken/details/details_vacature_0/?recid=601999 -------------- next part -------------- An HTML attachment was scrubbed... URL: From dboscaini at fbk.eu Sun May 5 04:18:39 2019 From: dboscaini at fbk.eu (Davide Boscaini) Date: Sun, 5 May 2019 10:18:39 +0200 Subject: Connectionists: ICIAP 2019 - Paper submission deadline extended to 6th May 2019 Message-ID: Dear colleagues, we are pleased to announce you that the paper submission deadline for ICIAP 2019 has been extended to May 6, 2019. Call for Papers ICIAP 2019 (https://event.unitn.it/iciap2019) is the 20th edition of a series of conferences organized biennially by the Italian Member Society (CVPL, ex GIRPR) of the International Association for Pattern Recognition (IAPR). The event will be co-located with the 13th edition of the ACM International Conference on Distributed Smart Cameras (ICDSC) ( http://icdsc.org). The focus of the conference is on both classic and recent trends in computer vision, pattern recognition and image processing, and covers both theoretical and applicative aspects, with particular emphasis on the following topics: * Video Analysis & Understanding * Pattern Recognition and Machine Learning * Deep Learning * Multi-view Geometry and 3D Computer Vision * Image Analysis, Detection and Recognition * Multimedia * Biomedical and Assistive Technology * Digital Forensics * Image Processing for Cultural Heritage The conference is structured in oral and poster sessions and offers invited lectures from distinguished speakers. Satellite workshops and tutorials are also organized. Accepted papers will be included in the ICIAP 2019 Conference Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS). Every accepted paper requires at least one author registered with regular registration fee and presenting the work at the conference. The conference will be held in Trento, Italy on 9-13 September, 2019. Dates: * Main Conference: 11-13th September 2019 * Workshop and Tutorials: 9-10th September 2019 * Full paper submission: 12th April 2019 (extended to 6th May 2019) * Notification of acceptance: 7th June 2019 * Camera ready submission: 21st June 2019 Submission: The maximum number of pages is 10 + 1 page containing only references. Papers will be selected by a review process. Authors of ICIAP 2019 papers can find complete instructions of how to format their papers in the conference webpage ( https://event.unitn.it/iciap2019). Springer?s proceedings LaTeX templates are available in Overleaf. Springer encourages authors to include their ORCIDs in their papers. Additional information can be found in "Springer LNCS ? Information for Authors of Computer Science Publications". Papers can be submitted using the CMT available at https://cmt3.research.microsoft.com. When submitting the camera ready, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign the Consent-to-Publish form, through which the copyright for their paper is transferred to Springer. -- -- Le informazioni contenute nella presente comunicazione sono di natura? privata e come tali sono da considerarsi riservate ed indirizzate? esclusivamente ai destinatari indicati e per le finalit? strettamente? legate al relativo contenuto. Se avete ricevuto questo messaggio per? errore, vi preghiamo di eliminarlo e di inviare una comunicazione? all?indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sun May 5 22:24:30 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Mon, 6 May 2019 02:24:30 +0000 Subject: Connectionists: SBP-BRiMS 2019 -- Call for Participation, Travel Fellowships, Keynote Speakers ... In-Reply-To: References: , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2019 2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 9-12, 2019, Lehman Auditorium, George Washington University, Washington DC, US http://sbp-brims.org/ #sbpbrims Conference Registration: Registration is now open for the 2019 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), George Washington University, Washington DC, USA, July 9 ? July 12, 2019. You can register at the website: http://sbp-brims.org/2019/registration/ Keynote Speakers: John Solerno, PhD Principal, Special Projects Engineer, Exelis Inc Former Principal Computer Engineer, US Air Force Eric Rasmussen, MD, MDM, FACP CEO for Infinitum Humanitarian Systems (IHS), Research Prof., Environmental Security & Global Medicine, San Diego State University Instructor in disaster medicine in Germany and China Other Special Activities: Summary on recent National Research Council (NRC) Decadal Survey Federal Funding Agencies Panel SBP-BRIM Challenge Problems on Opioid Crisis, and on Disinformation SBP-BRIM Doctoral Consortium Travel Fellowships: A limited number of travel fellowships is available for the conference. For more details, visit the conference website http://sbp-brims.org/2019/, and check the menu for Scholarships, under "Conference Information". SBP-BRiMS 2019 July 9-12 | Washington, D.C. www.sbp-brims.org Connect with #sbpbrims on social: Follow us on Twitter: http://twitter.com/sbpbrims Like us on Facebook: http://facebook.com/sbpbrims Follow us on LinkedIn: https://www.linkedin.com/company/sbpbrims/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sun May 5 22:29:55 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Mon, 6 May 2019 02:29:55 +0000 Subject: Connectionists: SBP-BRiMS 2019 -- Deadline Approaching for Working Papers, Challenge Problems, Doctoral Consortium ... In-Reply-To: References: , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2019 2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 9-12, 2019, Lehman Auditorium, George Washington University, Washington DC, US http://sbp-brims.org/ #sbpbrims CALL FOR Contributions -- Deadline Approaching !!! Important Dates: Working Paper Submission: 17-May-2019 Doctoral Consortium Submission due: 17-May-2019 Tutorial Submission: 17-May-2019 Demo Submission: 17-May-2019 Challenge Response Submission: 17-May-2019 SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interests include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and/or evolution * Collective action and governance * Information, belief, technology of disease diffusion * Public opinion representation, identification and modeling * Information diffusion * Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations * Validation and analysis techniques for social behavioral models Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes over time or space * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Social Cyber-Security applications * Social simulation for military training * Cyber diplomacy * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Applications for Health and Well-being * Data science applied to health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation CHALLENGE PROBLEMS: There will be two data science challenges, one on opioids and one on disinformation. Additional details are posted on the conference website, SBP-BRiMS.org/challenge. The deadline for submissions this year will be 17-May-2019. IMPORTANT DATES: Working Paper Submission: 17-May-2019 Doctoral Consortium Submission due: 17-May-2019 Tutorial Submission: 17-May-2019 Demo Submission: 17-May-2019 Challenge Response Submission: 17-May-2019 Please see conference website http://sbp-brims.org for more information. AWARDS: All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. Submission of a paper to the conference means that the authors consent to send an extended version to the special issue, should they receive one of the awards. Papers receiving the best paper awards, the best student paper award, winner of the opioid challenge, and winner of the disinformation challenge will then send an extended version of their paper for publication in the best of SBP-BRiMS 2019 special issue. ------------------------------------------------------------------------------------------------------------- SBP-BRiMS 2019 July 9-12 | Washington, D.C. www.sbp-brims.org Connect with #sbpbrims on social: Follow us on Twitter: http://twitter.com/sbpbrims Like us on Facebook: http://facebook.com/sbpbrims Follow us on LinkedIn: https://www.linkedin.com/company/sbpbrims/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hans.ekkehard.plesser at nmbu.no Sun May 5 18:14:59 2019 From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser) Date: Sun, 5 May 2019 22:14:59 +0000 Subject: Connectionists: NEST Conference 2019 / Registration Deadline 15 May / Extended Poster Deadline 15 May Message-ID: Dear Colleagues! We are looking forward to an exciting NEST Conference 2019 at NMBU, ?s, Norway on 24-25 June 2019 with talks covering a wide range of topics from simulation technology to large-scale network simulations as shown below. Please register at https://www.nest-initiative.org/conference by Wednesday, 15 May 2019 We still have a few slots for conference posters available, so you are still welcome to submit your poster until 15 May. Please see the conference website for instructions. We are looking forward to seeing you in ?s in June! Hans Ekkehard Plesser, Susanne Kunkel & Dennis Terhorst NEST Conference 2019 Talks (only presenting author shown) ? GeNN: GPU-enhanced neural networks (James Knight) ? Communication sparsity in distributed Spiking Neural Network Simulations to improve scalability (Carlos Fernandez-Musoles) ? Sleep-like slow oscillations induce hierarchical memory association and synaptic homeostasis in thalamo-cortical simulations (Cristiano Capone) ? Implementation of a Frequency-Based Hebbian STDP in NEST (Alberto Antonietti) ? Spike Timing Model of Visual Motion Perception and Decision Making with Reinforcement Learning in NEST (Petia Koprinkova-Hristova) ? What?s new in the NEST user-level documentation (Jessica Mitchell) ? ICEI/Fenix: HPC and Cloud infrastructure for computational neuroscientists (Jochen Eppler) ? Construction and characterization of a detailed model of mouse primary visual cortex (Stefan Mihalas) ? Large-scale simulation of a spiking neural network model consisting of cortex, thalamus, cerebellum and basal ganglia on K computer (Jun Igarashi) ? Simulations of a multiscale olivocerebellar spiking neural network in NEST: a case study (Alice Geminiani) ? A NEST CPG for pythonic motor control: Servomander (Harry Howard) ? NEST desktop: A web-based GUI for NEST simulator (Sebastian Spreizer) ? Tools for the Visual Analysis of Simulation Datasets (?scar David Robles) ? Neural Network Simulation Code for Extreme Scale Hybrid Systems (Kristina Kapanova) ? NEST performance profiling (Susanne Kunkel) -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser at nmbu.no Home http://arken.nmbu.no/~plesser From dlinnlp at gmail.com Tue May 7 05:33:41 2019 From: dlinnlp at gmail.com (Slavi Slavov) Date: Tue, 7 May 2019 12:33:41 +0300 Subject: Connectionists: Erasmus Mundus European Masters in Technology for Translation and Interpreting (EM TTI) Message-ID: Erasmus Mundus European Masters in Technology for Translation and Interpreting (EM TTI) Call for self-funded applications for start date September 2019 Application Deadline: 15 June 2019 *https://em-tti.eu/ * We invite applications for the new European Mundus Masters programme in Technology for Translation and Interpreting (EM TTI) with a start date of September 2019. The updated application deadline is 15 June 2019. Both European and non-European students can apply. Further information: https://em-tti.eu/2019/04/25/call-for-self-funded-applications-for-start-date-sept-2019/ How to apply: *https://em-tti.eu/how-to-apply * Course Fees: *https://em-tti.eu/about-masters/course-fees/ * -------------- next part -------------- An HTML attachment was scrubbed... URL: From ales.zamuda at um.si Mon May 6 07:59:14 2019 From: ales.zamuda at um.si (=?utf-8?B?QWxlxaE=?= Zamuda) Date: Mon, 6 May 2019 13:59:14 +0200 Subject: Connectionists: FANCCO 2019 July 10-12, Maribor Slovenia - 3rd Call for Papers *** Final Deadline 20 May 2019 *** Message-ID: <44eefd7a-de80-4081-8cf1-6aaecd12fa03@ex7.thor.um.si> *** Apologies for cross-posting. Appreciate if you can distribute the CFP.*** *** 3rd Call for Papers *** Final Deadline *** Submission due: 20 May 2019.*** *** Keynote speakers: Benjamin Doerr, Ponnuthurai Nagaratnam Suganthan *** ****************************************************************************** 7-th Joint International Conferences on Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2019) & Fuzzy And Neural Computing Conference (FANCCO 2019) July 10-12, 2019 Faculty of Electrical Engineering and Computer Science, University of Maribor Venue: Hotel City Maribor, Maribor, Slovenia, EU ****************************************************************************** IMPORTANT DATES --------------- Submission of Full Manuscript 20 May 2019 - FINAL DEADLINE (was 10 April 2019, 8 March 2019) Notification of Acceptance 10 June 2019 Camera Ready Copy 20 June 2019 Submission of Tutorial Proposals 1 May 2019 Submission of Special Session Proposal 1 May 2019 Early Registration 15 June 2019 Introduction ------------ The SEMCCO 2019 is the seventh international conference of this series, where SEMCCO 2010 has been successfully organized at SRM University Chennai, SEMCCO 2011 at ANITS, Visakhpatnam, SEMCCO 2012 at SOA University, Bhubaneswar, SEMCCO 2013 at SRM University, Chennai, SEMCCO 2014 at SOA University, Bhubaneswar, and SEMCCO 2015 at Hyderabad, India. The FANCCO 2019 is the fifth international conference of this series, collocated and co-organized with SEMCCO. These conferences aim at bringing together researchers from academia and industry to report and review the latest progresses in the cutting - edge research with Swarm, Evolutionary, Memetic, Fuzzy, and Neural computing to explore new application areas and to design new bio - inspired algorithms for solving specific hard optimization problems and finally to create awareness on these domains to a wider audience to practitioners. Therefore, researchers are encouraged to submit their contributions in both theoretical and practical aspects. Theme ----- The topics of the conference is related to the following (but not limited to): Genetic Algorithms, Genetic Programming, Evolutionary Programming and Evolution Strategies, Combinatorial Optimization and Metaheuristics, Artificial Immune Systems (AIS), Differential Evolution (DE), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO) and ant systems, Bacterial Foraging algorithms (BFA), Harmony Search (HS), Cultural Algorithms, Artificial Bees and Fireflies Algorithms, Artificial Life and Digital Organisms, Swarm Robotics, Evolvable Hardware, Estimation of Distribution Algorithms (EDA), Stochastic Diffusion Search (SDS), Self-organization in Swarms, Adaptation in Evolutionary Systems, Quantum and Nano-computing, Common sense computing, Membrane computing, Solving single objective, multi-objective, dynamic and large-scale optimization problems with swarm and evolutionary algorithms, Novel concepts of memetic computation, Memes, memeplexes, meta-memes in computing and high-order evolution, Meme-gene co-evolutionary frameworks and multi-inheritance model for various practical applications. Parallel memetic framework for practical applications, Partial or full or meta - Lamarckian/ Baldwinian, meta - learning, agent based memetic computation. Neural Network theory & models, Learning and adaptation, Computational neuroscience, Cognitive models, Brain-machine interfaces, Neurodynamics, Neuroinformatics, Neuroengineering, Neural hardware. Fuzzy Set theory, Type II Fuzzy Logic, Decision Making, Rough Set theory, Hybrid Fuzzy System. Collective intelligence, Hybrid systems with fuzzy, Swarm, evolutionary methods Computational biology, Bioinformatics, Artificial life. Application in the domain of Signal image / speech processing / time series analysis. Other applications like Pattern Recognition / Machine Intelligence / Machine Vision / Data Mining / Robotics / Sensor Networks etc. PUBLICATION ============================================================================== Prospective authors are invited to submit paper(s) with up to 12 pages written in A4 size and as per the LNCS, Springer format, on any one of the conference topics. The proceedings will be published by LNCS series of Springer (Pending Approval). Paper Submission: https://easychair.org/conferences/?conf=semcco2019andfancco2 Contact Address: ales.zamuda at um.si For Further Details visit: http://semcco2019.org/ & http://fancco2019.org/ The Conference Proceedings are published by LNCS series of Springer indexed in ISI Proceedings, DBLP, IO-Port, EI, ACM Portal, Scopus, INSPEC, etc. COMMITTEES ============================================================================== GENERAL CHAIR Ales Zamuda, University of Maribor, Maribor, Slovenia GENERAL CO-CHAIR Swagatam Das, Indian Statistical Institute, Kolkata, India Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore Bijaya Ketan Panigrahi, Indian Institute of Technology Delhi, Delhi, India PROGRAM CHAIR Swagatam Das, Indian Statistical Institute, Kolkata, India STEERING COMMITTEE CHAIR Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore INTERNATIONAL ADVISORY COMMITTEE Rammohan Mallipeddi, Kyungpook National University, Daegu, Republic of Korea Kalyanmoy Deb, Michigan State University, East Lansing, Michigan, USA Francisco Herrera, University of Granada, Granada, Spain Weiping Ding, Nantong University, Nantong, China Kusum Deep, Indian Institute of Technology Roorkee, Roorkee, India Liang Gao, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA Adam Piotrowski, Polish Academy of Sciences, Warsaw, Poland Ivan Zelinka, Technical University of Ostrava, Ostrava, Czech Republic Fatih Tasgetiren, Yasar University, Izmir, Turkey Roman Senker?k, Tomas Bata University in Zl?n, Zl?n, Czech Republic Jos? Daniel Hern?ndez Sosa, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain PUBLICATION CHAIR Bijaya Ketan Panigrahi, Indian Institute of Technology Delhi, Delhi, India INTERNATIONAL TECHNICAL COMMITTEE Mostafa Z. Ali, Jordan University of Science and Technology, Irbid, Jordan Janez Brest, University of Maribor, Maribor, Slovenia Ying-ping Chen, National Chiao Tung University, Hsinchu City, Taiwan Swagatam Das, Indian Statistical Institute, Kolkata, India Kalyanmoy Deb, Michigan State University, East Lansing, Michigan, USA Kusum Deep, Indian Institute of Technology Roorkee, Roorkee, India Weiping Ding, Nantong University, Nantong, China Tome Eftimov, Stanford University, USA Francisco Herrera, University of Granada, Granada, Spain Mohammed El-Abd, American University of Kuwait, Salmiya, Kuwait Steffen Finck, University of Applied Sciences, Dornbirn, Austria Liang Gao, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA Jos? Daniel Hern?ndez Sosa, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain Mauro Iacono, University of Campania Luigi Vanvitelli, Caserta, Italy Zuzana Kom?nkov? Oplatkov?, Tomas Bata University in Zl?n, Zl?n, Czech Republic Antonio LaTorre, Technical University of Madrid, Madrid, Spain Simone Ludwig, North Dakota State University, Fargo, USA Rammohan Mallipeddi, Kyungpook National University, Daegu, Republic of Korea Karol Opara, Polish Academy of Sciences, Warsaw, Poland Millie Pant, Indian Institute of Technology Roorkee, Roorkee, India Adam Piotrowski, Polish Academy of Sciences, Warsaw, Poland S.G. Ponnambalam, Universiti Malaysia Pahang, Pekan, Malaysia Ponnuthurai Nagaratnam Suganthan, Nanyang Technological University, Singapore Roman Senker?k, Tomas Bata University in Zl?n, Zl?n, Czech Republic Fatih Tasgetiren, Yasar University, Izmir, Turkey Ankit Thakkar, Nirma University, Ahmedabad, India Yong Wang, Central South University, Changsha, China Daniela Zaharie, West University of Timisoara, Timisoara, Romania Ales Zamuda, University of Maribor, Maribor, Slovenia Ivan Zelinka, Technical University of Ostrava, Ostrava, Czech Republic From Albrecht_Zimmermann at gmx.net Tue May 7 06:23:43 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Tue, 7 May 2019 12:23:43 +0200 Subject: Connectionists: Call for contributions to ECML PKDD Discovery challenges Message-ID: An HTML attachment was scrubbed... URL: From dorien.herremans at gmail.com Tue May 7 04:41:47 2019 From: dorien.herremans at gmail.com (Dorien Herremans) Date: Tue, 7 May 2019 16:41:47 +0800 Subject: Connectionists: Postdoc fellow on music generation with emotion at SUTD Message-ID: Our team at Singapore University of Technology and Design (SUTD) is looking for a postdoc fellow in *automatic music generation*. You will be joining our team in music/audio/vision AI supervised by Prof. Dorien Herremans. More information on the music/audio team here . You will be working on a 3 year project called ''aiMuVi: AI Music generated from Videos", which focuses on automatically generating music by specifying the emotion/tension throughout the musical piece so that it matches the emotion content extracted from videos. Required skillset: - pref. experience in music generation systems - knowledgeable in deep neural networks - savy programmer with experience in MIDI/web architectures/NN - creative problem solver - strong academic writing skills - PhD in computer science, MIR, neural networks, or related The ideal candidate has experience working with music generation and is willing to work with our PhD students in the lab to leverage individual efforts into a combined system. This is a three year project sponsored by MOE. We offer a competitive salary, with an initial 1 year contract, extendable for up to 3 years. Singapore is a vibrant city with a warm climate year-round. It is a technological hub in South East Asia, and English is the first language. Please email your application, including your cv, 2-3 first author publications, and a reference letter, to dorien_herremans [ad] sutd.edu.sg with subject [application MOE postdoc]. Ideal start date is July 1st. We encourage traditionally underrepresented groups, such as minorities and women, to apply. -- Dorien Herremans, PhD Assistant Professor http://dorienherremans.com Singapore University of Technology and Design Information Technology and Design Pillar Office 1.502-18 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Tue May 7 09:14:51 2019 From: Pavis at iit.it (Pavis) Date: Tue, 7 May 2019 13:14:51 +0000 Subject: Connectionists: Open PhD call 2019 - Italian Institute of Technology (Pattern Analysis & Computer Vision - PAVIS & Visual Geometry and Modeling Lab - VGM Lab) and University of Genova, Italy In-Reply-To: References: , Message-ID: <55c8870c2691471caea83e1d257c232c@iit.it> PhD Call for Applications 2019 - Italian Institute of Technology - Pattern Analysis & Computer Vision (PAVIS), Visual Geometry and Modeling Lab (VGM Lab) and University of Genova, Italy PhD Course on SCIENCE AND TECHNOLOGIES FOR ELECTRONICS AND TELECOMMUNICATION ENGINEERING, curriculum in "COMPUTATIONAL VISION, PATTERN RECOGNITION AND MACHINE LEARNING (CODE 7790)" Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together with the University of Genova opened the call for the 2019 Doctoral Course on Sciences & Technologies for Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning (www.iit.it/phd-school). 6 PhD positions are available at the Pattern Analysis and Computer Vision (PAVIS) Dept. and Visual Geometry and Modelling (VGM) Lab to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes (for details see https://pavisdata.iit.it/data/phd/ResearchTopicsPhD2019_IIT-PAVIS+VGM.pdf) Theme A: Computer vision for the prediction of human intentions, activities and behavior Theme B: Human body modeling for Socially-Aware Computer Vision Theme C: 3D Scene understanding with geometrical and deep learning reasoning Theme D: Multi-modal scene understanding Theme E: Computer vision into the wild Theme F: Zero ? and Few ? Shot Learning Theme G: Crowd behavioral analysis and event recognition Theme H: Re-identification Theme I: Biomedical imaging & Neuroimaging Theme L: Movement and behavior analysis in biomedical applications More info on the above research topics can be found at https://pavisdata.iit.it/data/phd/ResearchTopicsPhD2019_IIT-PAVIS+VGM.pdf or directly asked to Prof. V. Murino (pavis at iit.it), or any other tutor indicated in the list of themes. The PhD program on the listed themes will take place at the PAVIS department of Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it). The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, even multidisciplinary, in collaboration with other research groups in IIT. PAVIS staff has a wide expertise in computer vision and pattern recognition, machine learning, image processing, and related applications (mainly related to surveillance/security and biomedical tasks). For more information, you can also browse the PAVIS (http://pavis.iit.it/) and VGM Lab webpages (http://vgm.iit.it/) to see our activities and research. To apply, follow the instructions indicated at this link where the notice of public examination in English will soon be published: https://unige.it/usg/it/dottorati-di-ricerca In short, the documentation to be submitted is a detailed CV, a research proposal under one or more themes chosen among those above indicated (please, see also a project proposal template at the link indicated below), reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. IMPORTANT: In order to apply, candidates must prepare a research proposal based on the research topics above mentioned. Please, follow these indications to prepare it: https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf ONLINE APPLICATION DEADLINE is June 12th, 2019 at 12:00 p.m. (noon, Italian time/CET) ? STRICT DEADLINE, NO EXTENSION. APPLICATIONS are possible through University of Genoa ONLINE PROCEDURE ONLY - https://unige.it/usg/it/dottorati-di-ricerca -------------- next part -------------- An HTML attachment was scrubbed... URL: From jerchen at bu.edu Mon May 6 09:34:39 2019 From: jerchen at bu.edu (Chen, Jerry) Date: Mon, 6 May 2019 13:34:39 +0000 Subject: Connectionists: Data Scientist Position at Boston University Message-ID: The Lab of Jerry Chen at Boston University is hiring a Data Scientist to be involved in several multi-year BRAIN Initiative related NIH and NSF funded projects. These projects focus on understanding cortical computation during behavior by combining large-scale population recordings, anatomical reconstructions, and transcriptional profiling as well as developing tools for large-scale and high-speed imaging of neuronal populations. This person will be involved in help to analyze experimental data, developing software tools to aid in the data analysis, and helping with data infrastructure and management. Specific Projects include: 1. Analysis of dense electron microscope reconstructions of neuronal connectivity (ie. Connectomics) 2. Establishing pipeline for image analysis for in situ sequencing of gene expression 3. Establishing pipeline for automated behavioral training and analysis. 4. Visualization and analysis of population imaging data across multiple brain areas during behavior. This person will be jointly involved and mentored by personnel from the Hariri Institute's Software & Application Innovation Lab (SAIL), a center with expertise in cutting-edge computational and data-driven research with tangible and direct impacts on academic research, public service, and industry partners in healthcare, finance, and technology. Qualifications: BA/BS degree (MA or PhD preferred) in Computer Science, Mathematics, Engineering, Neuroscience or related technical field. One to three years of academic or professional experience. Programming experience in MATLAB is required. Additional experience in Python, C++, or LABView is preferred. Extensive background in either computational neuroscience, image analysis, computer vision, or machine learning is preferred. If interested in applying, please submit a CV along with 3 references to jerry at chen-lab.org. Jerry Chen, PhD Assistant Professor Department of Biology Boston University www.chen-lab.org jerry at chen-lab.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From mschaub at mit.edu Tue May 7 11:19:05 2019 From: mschaub at mit.edu (Michael Schaub) Date: Tue, 7 May 2019 11:19:05 -0400 Subject: Connectionists: Complex Networks 2019 Message-ID: <319bd215-2528-dc29-aa58-b822648fd4df@mit.edu> Apologies for any cross posting Eighth Int. Conference on Complex Networks & Their Applications Lisbon, Portugal Dec. 10- 12, 2019 http://www.complexnetworks.org You are cordially invited to submit your contribution until September 03, 2019. Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 3 pages) are welcome. - Papers will be included in the conference proceedings edited by Springer? - Extended abstracts will be published in the Book of Abstracts (with ISBN)? - Extended versions will be invited for publication in special issues of international journals: ?-- Applied Network Science edited by Springer ?-- Computational Social Networks edited by Springer ?-- Network Science edited by Cambridge University Press ?-- Social Network Analysis and Mining edited by Springer ?-- PLOS one Speakers :? - Lada Adamic Facebook, USA - Reka Albert Penn State, USA - Ulrik Brandes ETH Zurich, Switzerland - Jari Saram?ki Aalto University, Finland - Stefan Thurner Medical University of Vienna, Austria - Michalis Vazirgiannis Ecole Polytechnique, France Tutorials: (TBU) December 09, 2019 - Maria Angeles Serrano University of Barcelona, Spain Topics include, but are not limited to:? - Models of Complex Networks - Structural Network Properties and Analysis - Complex Networks and Epidemics - Community Structure in Networks - Community Discovery in Complex Networks - Motif Discovery in Complex Networks - Network Mining - Network embedding methods - Machine learning with graphs? - Dynamics and Evolution Patterns of Complex Networks - Link Prediction - Multilayer Networks - Network Controllability - Synchronization in Networks - Visual Representation of Complex Networks - Large-scale Graph Analytics - Social Reputation, Influence, and Trust - Information Spreading in Social Media - Rumour and Viral Marketing in Social Networks - Recommendation Systems and Complex Networks - Financial and Economic Networks - Complex Networks and Mobility - Biological and Technological Networks - Mobile call Networks - Bioinformatics and Earth Sciences Applications - Resilience and Robustness of Complex Networks - Complex Networks for Physical Infrastructures - Complex Networks, Smart Cities and Smart Grids - Political networks - Supply chain networks - Complex networks and information systems - Complex networks and CPS/IoT - Graph signal processing - Cognitive Network Science - Network Medicine - Network Neuroscience - Quantifying success through network analysis - Temporal and spatial networks - Historical Networks GENERAL CHAIRS Hocine Cherifi? (University of Burgundy, France) Jos? Fernando Mendes (University of Aveiro, Portugal) Luis M. Rocha (Indiana University) ADVISORY BOARD Jon Crowcroft (University of Cambridge, UK) Raissa D'Souza? (UC Davis, USA) Eugene Stanley (Boston University, USA) Ben Y. Zhao? (University of Chicago, USA) PROGRAM CHAIRS Sabrina Gaito? (Universit? degli Studi di Milano, Italy) Esteban Moro (Universidad Carlos III de Madrid, Spain) PROGRAM CO-CHAIRS Joana Gon?alves-S? (Universidade Nova de Lisboa, Portugal) Francisco Santos (University of Lisbon, Portugal) SATELLITE CHAIRS Luca Maria Aiello (Nokia-Bell Labs, UK) Rosa . M Benito (Universidad Politecnica de Madrid) LIGHTNING CHAIRS Nuno Araujo (Lisbon University, Portugal)? Huijuan Wang (TU Delft, Netherlands) Taha Yasseri (University of Oxford, UK) POSTER CHAIRS Maria Clara Gracio (University of Evora) Gitajanli Yadav (University of Cambridge, UK) Jinhu L? (Chines Ac. Science, Bejing, China) TUTORIAL CHAIR Bruno Goncalves (Morgan Stanley, USA) PUBLICITY CHAIRS Carlos Gershenson? (Universidad Nacional Aut?noma de M?xico, Mexico) Leto Peel? (Universit? Catholique de Louvain, Belgium) Michael Schaub (MIT, USA) Feng Xia? (Dalian University of Technology, China) SOCIAL MEDIA CHAIRS Andreia Sofia Teixeira (universidade de Lisboa, Portugal) PUBLICATION CHAIR Chantal Cherifi (University of Lyon, France) WEB CHAIR Matteo Zignani? (Universit? degli Studi di Milano, Italy) SUBMISSION CHAIR Christian Quadri? (Universit? degli Studi di Milano, Italy) LOCAL COMMITTEE CHAIRS Manuel Marques-Pita (University Lus?fona, Portugal) -------------- next part -------------- An HTML attachment was scrubbed... URL: From martin.mittag at gmx.de Mon May 6 05:05:42 2019 From: martin.mittag at gmx.de (Martin Mittag) Date: Mon, 6 May 2019 11:05:42 +0200 Subject: Connectionists: Slots still available - Deadline in 10 days!: 7th Baltic-Nordic School on Neuroinformatics BNNI 2019, August, Frankfurt Germany In-Reply-To: References: Message-ID: *7th Baltic-Nordic School on Neuroinformatics BNNI 2019* *Modeling Healthy and Diseased Brain: From Dendrites to Neurons and Networks*** *Frankfurt am Main, Germany* *26-28 August 2019* ** *We invite* Advanced master students, doctoral students, and postdoctoral researchers are welcome to participate in the BNNI 2019 to be held at the FIAS, the Frankfurt Institute for Advanced Studies, Frankfurt Main, Germany in August 2019. *The Course* The course is interdisciplinary and covers modeling at different levels of organization of the brain, from single neurons to microcircuits and networks. We will focus on differences between healthy and diseased brains. Participants will learn about compartmental and morphological modeling of synapses, dendrites and neurons, as well as simulating local field potentials (LFPs). The course combines lectures, tutorials and computer exercises. This summer school is the seventh in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI 2016 in Warsaw, Poland; BNNI 2017 in Kaunas, Lithuania; BNNI 2018 in Ventspils, Latvia). *Target audience* The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. We will use the NEURON simulation environment for biophysical realistic models of neurons and the Matlab software package including the TREES toolbox. Desktop computers will be provided for the exercise part. *Important Dates* *? ??? ????? 15 May 2019*: Application deadline *? 1 June 2019:* Acceptance notification *26 - 28 August 2019:* School *Venue* The lectures will be held on 26th to 28th of August, 2019, at the: Frankfurt Institute for Advanced Studies, Ruth-Moufang-Stra?e 1, 60438 Frankfurt am Main, Germany. Frankfurt is a very international city in the heart of Germany and Europe. The city centre combines the historic, medieval past with the modern, economic present. We are looking forward to welcoming you in Frankfurt! *More information and applications at* _web.lsmuni.lt/bnni2019/en _ *Practical arrangements* The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses. There is a small fee to be paid (30 - 100 EUR). If you are not sure whether you can afford it, apply anyway. We have some stipends for members of OCNS (www.cnsorg.org) to give away. Student residence is provided and close to the campus in the Relexa hotel. *Faculty includes* Marja-Leena Linne, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland Bruce Graham, Institute of Mathematics and Informatics, University of Stirling, UK Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Arnd Roth, Wolfson Institute of Biomedical Research, University College London, UK Misha Tsodyks, Department of Neurobiology, Weizmann Institute of Science, Israel Dieter J?ger, Biology Department, Emory University, Atlanta, USA Gaute Einevoll, Norwegian University of Life Sciences & University of Oslo, Norway Matthew Larkum, Neurocure Cluster of Excellence, Humboldt University, Berlin, Germany Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Hermann Cuntz, ESI & FIAS, Frankfurt, Germany Peter Jedlicka, ICAR3R, Justus Liebig University Gie?en, Germany Gilles Laurent, MPI for Brain Research, Frankfurt, Germany Jochen Triesch, FIAS, Frankfurt, Germany Tatjana Tchumatchenko, MPI for Brain Research, Frankfurt, Germany Julijana Gjorgjieva, MPI for Brain Research, Frankfurt, Germany Arvind Kumar, KTH Royal Institute of Technology, Stockholm, Sweden Aiste Pranckeviciene, Lithuanian University of Health Sciences, Kaunas, Lithuania Viola Priesemann, MPI G?ttingen, Germany Matthias Kaschube, FIAS, Frankfurt, Germany *Organizing committee* **** **Peter Jedlicka, ICAR3R, Justus Liebig University Gie?en, Germany Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Marja-Leena Linne, Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland Jochen Triesch, FIAS, Frankfurt, Germany * We are looking forward to welcoming you at the BNNI 2019 in Frankfurt am Main, Germany!* -------------- next part -------------- An HTML attachment was scrubbed... URL: From abby at ldv.co Mon May 6 17:48:43 2019 From: abby at ldv.co (Abigail Hunter-Syed) Date: Mon, 6 May 2019 17:48:43 -0400 Subject: Connectionists: LDV Vision Summit May 22 - 23 in NYC Message-ID: *LDV VISION SUMMIT 2019* *May 22 & 23* *SVA Theatre - NYC* Our sixth annual LDV Vision Summit is the premier global gathering in visual tech. 600+ leading technologists, tech execs, investors and startups will come together to see 60 expert speakers across 40 sessions and 2 competitions showcase the cutting edge in visual tech. Our agenda is now live focusing on top computer vision & AI topics like: - Visual Technologies Revolutionizing Medicine - Computational Imaging will Power Business ROI - Nanophotonics that are Pushing the Envelope - Synthetic Data is Disrupting Legacy Businesses With phenomenal speakers who are leading investors, startups and researchers in visual tech: - Andrew Rabinovich, *Head of AI at Magic Leap* - Michal Lipson, *McArthur Fellow at Columbia* - Lourdes Agapito, *UCL & Co-Founder of Synthesia* (responsible for David Beckham deep fake, invested in by Mark Cuban and LDV Capital) - Julie Schoenfeld, *VP at Cruise/GM* (Sold Strobe LiDAR to Cruise) - Thomas Reardon,* Founder & CEO of CTRL Labs* (Recently raised $28M from GV and Alexa Fund for neural, computer interface) - And 50+ more... Limited number of students tickets available through May 12 - $25/ticket or 3 tickets for $50, email contact at ldv.co from your .edu for the code to register. -- *Abigail Hunter-Syed* *VP of Operations* *LDV Capital * -------------- next part -------------- An HTML attachment was scrubbed... URL: From cmummidise at sralab.org Tue May 7 11:22:21 2019 From: cmummidise at sralab.org (Krishna Mummidisetty) Date: Tue, 7 May 2019 10:22:21 -0500 Subject: Connectionists: Data Analyst - Shirley Ryan AbilityLab Message-ID: <201905071525.x47FPTXN100109@scs-mx-04.andrew.cmu.edu> Data Analyst - ENTERPRISE DATA ANALYTICS, Full-time Tracking Code 41959 Job Description *General Summary* The Data Analyst/Engineer will be part of the Data Innovation and Analytics Lab (DIAL). Responsible for data analytics to support the needs of the business units by utilizing the Enterprise Data Warehouse. The Data Analyst/Data Engineer/Informatics Specialist will utilize data science to work with cross-functional team of stakeholders at the Shirley Ryan AbilityLab, to help gather insights for research, quality, operations and outcomes. The Data Analyst/Engineer will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute. The Data Analyst/Engineer will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, & Commitment to Excellence) while fulfilling job duties. *Principal Responsibilities* The Data Analyst/Engineer: 1. Gathers, profiles, and analyzes data to support requirements analysis and/or analytics. 2. Collaborates with technical experts and business units to determine the best possible reporting/dash-boarding mechanisms. 3. Analyzes data and generates reports that ensure data integrity by applying statistical and data science methods. 4. Performs data manipulation on large sets of data to extract actionable insights. 5. Combines data from different sources and conducts source to target mapping 6. Identifies trends and patterns in data and creates data visualizations 7. Performs complex analysis including statistical regression and forecasting 8. Drives analytical rigor across the organization to guide decision making 9. Performs other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab. *Reporting Relationships* 1. Reports directly to the Chief Data Officer as part of the Data Innovation and Analytics Lab (DIAL). *Knowledge, Skills & Abilities Required* 1. Bachelor?s degree in Computer Science, Information Systems, Data Science, Engineering or related field. Masters preferred 2. Minimum of 2 years of related experience with a comprehensive knowledge of data modeling and database tools (e.g. FRWin, SQL, Oracle, Excel, etc.) and continues developing professional expertise. 3. Data cleaning, engineering, munging, experience with scripting and programming languages such as Python, PERL, Ruby, php, Java, R/Shiny, etc. 4. Familiarity with Visualization and web development such as CSS, JavaScript, D3/Node.js, Ajax, etc. 5. Healthcare experience highly desired, especially familiarity with ICD-9,10, CPT and other healthcare vocabularies 6. Hands-on experience with statistical software packages and data mining tools (e.g. SAS, R, SPSS, Weka, Rapid Miner, etc.) 7. Hands-on experience with industry leading data visualization and BI tools (e.g. Business Objects, Microsoft PowerBI, Cognos, Tableau, OBIEE, Qlickview, Knowi, etc) 8. Strong strategic, analytical, technical, and project management skills 9. Demonstrated ability in engaging and communicating with stakeholders, across both business and technology functions. *Working Conditions* 1. Normal office environment with little or no exposure to dust or extreme temperature. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. SRAlab is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Job Location Chicago, Illinois, United States Position Type Full-Time/Regular https://ricc-hr.silkroad.com/epostings/index.cfm?fuseaction=app.jobInfo&version=1&jobid=180108 -- Chaithanya K Mummidisetty, MS Research Engineer-III The Max N?der Lab for Rehabilitation Technologies and Outcomes Research Center for Bionic Medicine Office of Translational Research Shirley Ryan AbilityLab, 355 E Erie, Room#1401 Chicago IL-60611. Ph: 312-238-1621 sralab.org max-nader-lab-rehabilitation-technologies-and-outcomes-research Facebook | Twitter | YouTube -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Tue May 7 03:22:36 2019 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Tue, 7 May 2019 10:22:36 +0300 Subject: Connectionists: MediaEval 2019: Call for Participation Message-ID: -------------------------------------------------- MediaEval 2019: Multimedia Research Challenges Register now: Data releases are beginning https://docs.google.com/forms/d/e/1FAIpQLSfxS4LPBhLQUTXSPT5vogtiSy7BuAKrPs6u6pZXcSV1Xs7XEQ/viewform Last day for regular registration: 30 June http://multimediaeval.org/mediaeval2019 -------------------------------------------------- MediaEval (Benchmarking Initiative for Multimedia Evaluation) offers shared-tasks to the multimedia research community involving images, text, video, music and speech. The tasks address cutting-edge multimedia challenges (multimedia mining, retrieval, analysis, access and exploration) with a clear human or social aspect. Our larger aim is to promote reproducible research that makes multimedia a positive force for society. Further information and the link for registration to participate in the tasks is available at: http://multimediaeval.org/mediaeval2019 Short descriptions of the 2019 tasks are below. The MediaEval 2019 Workshop will take place 27-29 October 2019 near Nice, France. (The workshop is scheduled so that participants can combine the workshop with attendance at ACM Multimedia https://www.acmmm.org/2019 in one trip, if they wish.) #Emotion and Theme recognition in music using Jamendo# Recognize emotions and themes conveyed in music recordings (large-scale data set). http://multimediaeval.org/mediaeval2019/music #Eyes and Ears Together: Multimodal coreference resolution# Analyze videos to predict bounding boxes corresponding to nouns and pronouns in the videos? speech transcripts. http://multimediaeval.org/mediaeval2019/eyesears #GameStory: Video Game Analytics Challenge# Analyze game streams (including audio and video streams, commentaries, game data and statistics, interaction traces, viewer-to-viewer communication) to carry out synchronization and event detection. http://multimediaeval.org/mediaeval2019/gamestory #Insight for Wellbeing: Multimodal personal health lifelog data analysis# Analyze lifelogs (lifelog images, user-contributed tags, sensor readings, weather/pollution information) to automatically make well-being related predictions. http://multimediaeval.org/mediaeval2019/wellbeing #Medico Medical Multimedia# Analyze a multimodal dataset (videos, analysis data, study participant data) to make predictions related to sperm quality. http://multimediaeval.org/mediaeval2019/medico #Multimedia Recommender Systems# Participants can choose between one of two tasks that investigate the use of multimedia content for recommendation. http://multimediaeval.org/mediaeval2019/mmrecsys #Multimedia Satellite Task: Flood Severity Estimation# Analyze news reports (images/text) and/or satellite images for information important for disaster management. http://multimediaeval.org/mediaeval2019/multimediasatellite #No-audio Multimodal Speech Detection# Participants receive videos (top view) and sensor readings (acceleration and proximity) of people having conversations in a natural social setting and are required to detect speaking turns. http://multimediaeval.org/mediaeval2019/speakerturns #Pixel Privacy# Participants receive a set of images and are required to enhance them in a way that blocks automatic inference of sensitive information, while preserving image appeal. See: https://youtu.be/zShHPVOA070. http://multimediaeval.org/mediaeval2019/pixelprivacy #Predicting Media Memorability# Given a data set of multimedia content (images and/or videos) and associated memorability annotations, automatically train a system to predict memorability. http://multimediaeval.org/mediaeval2019/memorability #Scene Change (Brave New Task)# Automatically create fun faux photo?s, composite images that fool you at first, but can be identified as an imitation on closer inspection. http://multimediaeval.org/mediaeval2019/scenechange #Sports Video Annotation: Detection of Strokes in Table Tennis (Brave New Task)# Automatically classify strokes in videos of table tennis. http://multimediaeval.org/mediaeval2019/sports #NewsFire: Discovering the triggers for viral news stories (Task force)# Participants receive a large corpus of news stories and social media posts (text and images) and are required to build a system that detects the original triggers of news that spread with a viral or wildfire pattern. For more information on the mission of MediaEval check out the videos and proceedings from previous workshops, e.g., http://multimediaeval.org/mediaeval2018 If you have further questions, please contact: Martha Larson m.a.larson at tudelft.nl On behalf of the MediaEval Community Council, Prof. Bogdan IONESCU ETTI - University Politehnica of Bucharest http://campus.pub.ro/lab7/bionescu/ From bogdanlapi at gmail.com Tue May 7 03:22:14 2019 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Tue, 7 May 2019 10:22:14 +0300 Subject: Connectionists: ACM Multimedia 2019: Call for Participation in Grand Challenges Message-ID: ACM Multimedia is the premier international conference in the area of multimedia within the field of computer science. Multimedia research focuses on integration of the multiple perspectives offered by different digital modalities including images, text, video, music, sensor data, spoken audio. The conference covers four themes: Engaging users with multimedia, Multimedia experience, Multimedia systems and Understanding multimedia content. We are calling for participation in this year?s Multimedia Grand Challenges. The purpose of the challenges engage the multimedia research community by establishing well-defined and objectively judged challenge problems intended to exercise the state-of-the-art methods and inspire future research directions. AI Meets Beauty Perfect Corp. Half Million Beauty Product Image Recognition Challenge https://challenge2019.perfectcorp.com Results submission: 13 June 2019 Beauty and personal care product recognition, and more, on a challenge large-scale image data set. BioMedia: Multimedia in Medicine https://github.com/kelkalot/biomedia-2019 Results submission: 20 June 2019 Detect and classify abnormalities in gastrointestinal (GI) tract images and/or automatically generate medical reports from GI tract videos. iQIYI Celebrity Video Identification Challenge http://challenge.ai.iqiyi.com/detail?raceId=5c767dc41a6fa0ccf53922e7 Results submission: 10 June 2019 Video dataset for multi-model person identification: For each identity in the training set, find all the video clips of the same identity in the test set. Live Video Streaming https://www.aitrans.online/MMGC/ Results submission: 10 June 2019 Develop algorithms for bitrate control and latency control at the client to maximum the quality of experience (QoE) while keeping the playback latency to within a given threshold. Relation Understanding in Videos http://lms.comp.nus.edu.sg/research/video-relation-challenge/mm19-gdc/ Results submission: 22 June 2019 For a large-scale dataset of user-generated video, choose from three tasks: video object detection, action detection and visual relation detection. Social Media Prediction http://smp-challenge.com/ Results submission: 5 June 2019 Temporal Popularity Prediction, predict future clicks of new social media posts before they are posted in social feeds. Content-based video relevance prediction: Hulu https://github.com/cbvrp-acmmm-2019/cbvrp-acmmm-2019 Results submission: 1 July 2019 Solve the problem of cold start recommendation for TV shows and/or movies using viewer records, metadata, features. ACM Multimedia 2019 will be held 21 - 25 October 2019, Nice, France For a full list of important dates, please refer to: https://www.acmmm.org/2019/important-dates On behalf of the Publicity Chairs, Prof. Bogdan IONESCU ETTI - University Politehnica of Bucharest http://campus.pub.ro/lab7/bionescu/ From mathis.richter at ini.rub.de Mon May 6 12:55:59 2019 From: mathis.richter at ini.rub.de (Mathis Richter) Date: Mon, 6 May 2019 18:55:59 +0200 Subject: Connectionists: Summer school: Neuronal dynamics for cognitive robotics, August 2019, Germany Message-ID: Please forward this advertisement to whoever you think might be interested. The deadline for applications is May 15, 2019! Thanks, Mathis Richter --- Summer School on: NEURONAL DYNAMICS FOR COGNITIVE ROBOTICS held August 26-30, 2019 at the Institute for Neural Computation, Ruhr-University Bochum in Germany, coordinated by Prof. Dr. Gregor Sch?ner. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and down-to-earth introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science, and robotics. The school combines tutorial lectures in the mornings with hands-on projects working with robotic systems. Participants will develop their own modeling project, which will connect to their ongoing doctoral or postdoctoral research. Topics addressed include neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. For more information see: https://dynamicfieldtheory.org/events/summer_school_2019/ To apply, please hand in a CV and a short cover letter with background and motivation, either via the application form on the website or via email to mathis.richter at ini.rub.de. Selection of participants will begin by May 15, 2019. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: summer_school_2019.pdf Type: application/pdf Size: 2853258 bytes Desc: not available URL: From sepand.haghighi at yahoo.com Mon May 6 14:36:54 2019 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Mon, 6 May 2019 18:36:54 +0000 (UTC) Subject: Connectionists: PyCM 2.1 released: Machine learning library for confusion matrix statistical analysis References: <1975360788.2162820.1557167814632.ref@mail.yahoo.com> Message-ID: <1975360788.2162820.1557167814632@mail.yahoo.com> https://github.com/sepandhaghighi/pycm http://www.pycm.ir Changelog : - Adjusted geometric mean (AGM) added?#177 - Yule's Q (Q) added?#193 - Compare class and parameters recommendation system block diagrams added?#192 - Document links bug fixed?#194 - Document modified?#173 Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From asdm at fi.upm.es Mon May 6 08:36:31 2019 From: asdm at fi.upm.es (asdm at fi.upm.es) Date: Mon, 6 May 2019 14:36:31 +0200 (CEST) Subject: Connectionists: Fourteenth Madrid UPM Advanced Statistics and Data Mining Summer School (June 24th - July 5th, 2019) - Early registration deadline Message-ID: <1867750575.0.1557146191461.JavaMail.bmihaljevic@morelia> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school finishes on June 2nd (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 24th to July 5th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2017. See the 2017 ranking at http://bit.ly/2oR00GI Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 24th - June 28th, 2019) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Learning algorithms. Learning and Optimization. Deep Networks. Practical session: Jupyter notebooks in Python Anaconda with keras and tensorflow. Course 6: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. * Week 2 (July 1st - July 5th, 2019) * 1st session: 9:45-12:45 Course 7: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. Course 8: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization with proximal methods. Practical session: Python Anaconda with scikit-learn. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. From asdm at fi.upm.es Mon May 6 08:36:31 2019 From: asdm at fi.upm.es (asdm at fi.upm.es) Date: Mon, 6 May 2019 14:36:31 +0200 (CEST) Subject: Connectionists: Fourteenth Madrid UPM Advanced Statistics and Data Mining Summer School (June 24th - July 5th, 2019) - Early registration deadline Message-ID: <1867750575.0.1557146191461.JavaMail.bmihaljevic@morelia> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school finishes on June 2nd (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 24th to July 5th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2017. See the 2017 ranking at http://bit.ly/2oR00GI Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 24th - June 28th, 2019) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Learning algorithms. Learning and Optimization. Deep Networks. Practical session: Jupyter notebooks in Python Anaconda with keras and tensorflow. Course 6: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. * Week 2 (July 1st - July 5th, 2019) * 1st session: 9:45-12:45 Course 7: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. Course 8: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization with proximal methods. Practical session: Python Anaconda with scikit-learn. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. From ted.carnevale at yale.edu Tue May 7 12:17:18 2019 From: ted.carnevale at yale.edu (Carnevale, Nicholas) Date: Tue, 7 May 2019 16:17:18 +0000 Subject: Connectionists: 2019 NEURON Summer Course Message-ID: A few seats remain open for the 2019 NEURON Summer Course, but you'll have to act quickly because the registration deadline is Friday, May 31, and no applications will be accepted after that date. This year's course will be held at the Minneapolis campus of the University of Minnesota (UMN) from Monday, June 10, through Saturday, June 15. It provides a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. UMN has made a limited number of private and semiprivate rooms in graduate student housing available to course registrants at very affordable rates; further information will be provided to applicants upon payment of the course's registration fee. For more information and the on-line registration form, see https://neuron.yale.edu/neuron/static/courses/summer2019/summer2019.html --Ted From Mark.Humphries at nottingham.ac.uk Wed May 8 09:05:19 2019 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Wed, 8 May 2019 13:05:19 +0000 Subject: Connectionists: Fully-funded 3 year PhD studentship in Mark Humphries' lab (Nottingham) Message-ID: A fully funded PhD position is available with Prof. Mark Humphries at the University of Nottingham (UK), on a project entitled "Mapping the wires using neural activity". The studentship is for 3 years, and is open to UK/EU citizens. The wiring between neurons, the connectome, defines their activity. So in order to understand the activity of neurons we record from, we want to know the wiring between them. But current technology does not allow the simultaneous recording and tracing of the connections between neurons. To solve this problem, this project will develop computational techniques to accurately infer wiring between neurons from the next generation of imaging techniques that directly record neuron voltages. The project will combine development of algorithms, simulations of neural circuits as test-beds, and analysis of real imaging data from neural populations. For full details and application instructions please see: https://www.findaphd.com/phds/project/fully-funded-phd-position-mapping-the-wires-using-neural-activity/?p109319 For more on the Humphries Lab, see our website: https://www.humphries-lab.org/ For further information about the project, or to discuss other projects, please contact Prof Mark Humphries (mark.humphries at nottingham.ac.uk). 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 laurenz.wiskott at rub.de Wed May 8 06:12:07 2019 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Wed, 8 May 2019 12:12:07 +0200 Subject: Connectionists: PhD position in computational neuroscience with Prof. Laurenz Wiskott in Bochum, Germany Message-ID: <20190508101207.drac3chty2wpzkcb@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. The position is immediately available. 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 ludovico.montalcini at gmail.com Wed May 8 03:57:38 2019 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Wed, 8 May 2019 08:57:38 +0100 Subject: Connectionists: LOD 2019: Submit Your Paper and Meet prominent speakers in the fields of Machine Learning, Data Science and Optimization in Siena! Message-ID: Register today and take advantage of the special rates available for individuals attending the 5thInternational Conference on machine Learning, Optimization & Data science LOD - An Interdisciplinary Conference: Deep Learning, Optimization and Big Data without Borders, this September 10-13 in Siena. https://lod2019.icas.xyz lod at icas.xyz LOD 2019 is a great opportunity to present your work and congregate with leaders and experts in the Deep Learning, Optimization and Big Data. Feel free to check out our keynote speakers: ? Michael Bronstein, Imperial College London, UK ? Marco Gori, University of Siena, Italy ? Arthur Gretton, UCL, UK ? Arthur Guez Google DeepMind, Montreal, UK ? Kaisa Miettinen, University of Jyv?skyl?, Finland ? Jan Peters, Technische Universitaet Darmstadt ? Mauricio Resende, Amazon, USA ? Richard E. Turner, University of Cambridge, UK Submit your Paper by May 10 https://easychair.org/conferences/?conf=lod2019 LOD 2019 will focus on advances in science, technology and applications in the fields of Machine Learning, Data Science and Optimization. Sessions ? LOD 2019 Big-Data Challenge: Our sponsor, Neodata Lab, will offer a prize of ?2000 to the applicant who develops the most accurate algorithm to process an ?approximate SQL-like query answering system? on a real dataset. ? Multi-Task Learning ? Reinforcement Learning ? Deep Learning ? Generative Adversarial Networks ? Deep Neuroevolution ? Networks with Memory ? Learning from Less Data and Building Smaller Models ? Simulation Environments to understand how AI Systems Learn ? Chatbots and Conversational Agents ? Data Science at Scale & Data in the Cloud ? Urban Informatics & Data-Driven Modelling of Complex Systems ? Data-centric Engineering ? Data Security, Traceability of Information & GDPR ? Economic Data Science https://lod2019.icas.xyz lod at icas.xyz -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Tue May 7 13:14:25 2019 From: gangluo at cs.wisc.edu (GANG LUO) Date: Tue, 7 May 2019 17:14:25 +0000 Subject: Connectionists: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019) Message-ID: -- Call for Papers -- The Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019) In Conjunction with VLDB 2019 Los Angeles, CA, USA August 30, 2019 http://dmah.info/ Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic- data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field. This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. Topics of interest include, but not limited to: Big data management for medical data; Blockchain for healthcare; Biomedical data integration; Biomedical knowledge management and decision support; Semantics and interoperability for healthcare data; Clinical natural language processing and text mining; Predictive modelling for diagnosis and treatment; Visual analytics for medical data; Medical image analytics; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health (public health 2.0); Data analytics for pervasive computing for medical care. DMAH 2019 accept two types of papers: 1) Regular research papers reporting original research results or significant case studies (18 pages). 2) Extended abstracts presenting novel research directions or challenging problems (4 pages). Important Dates: Abstract (optional): May 25, 2019 Individual Workshop Papers: June 1, 2019 Notification of Acceptance: June 25, 2019 Camera Ready: June 30, 2019 Workshop date: August 30, 2019 All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer LNCS. Workshop Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Yanhui Liang, Google Alevtina Dubovitskaya, Lucerne University of Applied Sciences and Arts and Swisscom, Switzerland From yao2107 at columbia.edu Tue May 7 11:19:19 2019 From: yao2107 at columbia.edu (Allison Ong) Date: Tue, 7 May 2019 11:19:19 -0400 Subject: Connectionists: Call for applications: NEURONEX JUNIOR SCIENTIST WORKSHOP on ADVANCED NEURAL DATA ANALYSIS at COLUMBIA UNI. Message-ID: *Call for applications:* *NEURONEX JUNIOR SCIENTIST WORKSHOP on ADVANCED NEURAL DATA ANALYSIS at Columbia University* *Apply here: https://tinyurl.com/yyxnacmd * *Application Deadline: May 25, 2019 * *Workshop dates: August 26 - 29, 2019* *Details: https://ctn.zuckermaninstitute.columbia.edu/junior * *Hosted* by the Center for Theoretical Neuroscience at Columbia University *Co-Organized* by the NeuroNex Theory Team at University of Houston This workshop is intended for PhD students and postdocs who want to learn and share with their peers new advanced techniques in data analysis and apply them to complex neural datasets. Attendees will present their research projects, followed by a hands-on programming tutorial on the computational techniques used in their work. *We encourage applications from female scientists and those belonging to underrepresented minorities.* Funds will be provided by NSF's NeuroNex initiative to cover travel, accommodation, and meals. Questions? 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Name: NeuroNex Jr Scientist Workshop 2019.pdf Type: application/pdf Size: 1152683 bytes Desc: not available URL: From o.e.scharenborg at tudelft.nl Wed May 8 10:05:51 2019 From: o.e.scharenborg at tudelft.nl (Odette Scharenborg) Date: Wed, 08 May 2019 16:05:51 +0200 Subject: Connectionists: 2nd Call for abstracts Young Female Researchers in Speech Workshop 2019, Graz, Austria Message-ID: <20557_1557324788_x48ED6xQ023245_op.z1g5f1cmhgrfd8@tud256733.ws.tudelft.net> Dear colleague, with apologies for cross-posting, I would be very grateful if you could disseminate the workshop announcement below within your networks, especially to any bachelor/masters' students or undergraduates who may be interested in attending. Best wishes, Odette -------- 2nd Call for Abstracts: Young Female Researchers in Speech Workshop 2019 website: https://sites.google.com/view/yfrsw-2019/home Date: 14 September 2019 Deadline: 1 June 2019 What it is about: The Young Female Researchers in Speech Workshop (YFRSW) is a workshop for women undergraduate and masters students who are currently working in speech science and technology. It is designed to foster interest in research in our field in women at the undergraduate or master level who have not yet committed to getting a PhD in speech science or technology areas, but who have had some research experience in their college and universities via individual or group projects. The workshop is to be held prior to Interspeech 2019 on Saturday September 14th, 2019, in Graz, Austria. It will feature panel discussions with PhD students and senior researchers in the field, student poster presentations and a mentoring session. Student poster presentations should give an overview of a current or planned research project in which the student is involved, with an emphasis on promoting discussion. The workshop is the fourth of its kind, after a successful inaugural event YFRSW 2016, at Interspeech 2016 in San Francisco, USA, YFRSW 2017 at Interspeech 2017 in Stockholm, Sweden, and YFRSW 2018 at Interspeech in Hyderabad, India. Travel funds are available for students accepted to attend the workshop. How to submit: To attend the workshop please send an abstract describing your (planned) research (maximum of 300 words). This abstract should be submitted by email to yfrsw2019 at gmail.com by June 1, 2019. Abstracts will be reviewed by the committee and applicants will be notified as soon as possible. We will emphasize inclusivity although all submissions should be in the core scientific domains covered by Interspeech. Please direct any questions to: yfrsw2019 at gmail.com From cristian.rodriguezrivero at gmail.com Wed May 8 17:50:23 2019 From: cristian.rodriguezrivero at gmail.com (Cristian Rodriguez Rivero) Date: Wed, 8 May 2019 14:50:23 -0700 Subject: Connectionists: Second Call for Paper - IEEE LA-CCI 2019 (Latin American Conference on Computational Intelligence) In-Reply-To: References: Message-ID: The IEEE CIS, the Steering Committee of LA-CCI, and the Organizers of this edition in Ecuador are happy to announce: *The 6th IEEE Latin American Conference in Computational Intelligence, to be held in Guayaquil - Ecuador, Nov 11-15 of 2019.* (Website http://la-cci.org/) (The conference ethos is here http://la-cci.org/la-cci-2019/manifesto-2019/) * Please send us your latest work and meet us in Ecuador.* TOPICS (1) Evolutionary & Swarm Computation; (2) Neural & Learning Systems; (3) Fuzzy & Stochastic Modeling (More details of topics that are welcome http://la-cci.org/la-cci-2019/topics-of-interest-2019/) CONFIRMED SPEAKERS KEY-SPEAKERS (already confirmed): Igor Alexander, Imperial College London, UK, On where AI will lead us Jos? Principe, University of Florida, USA, On what is new to information modeling James Bezdek, University of Melbourne, Australia, On machine learning at the heart of AI Jaime Carbonell, Carnegie Mellon University, USA, On what is new in streaming clustering Ronaldo Menezes, University of Exeter, UK, On how to deal with complex social phenomena Fernando Buarque, University of Pernambuco, Brazil, On why should we consider Computational Semiotics Please check all the speakers here ( http://la-cci.org/la-cci-2019/key-speakers-2019/) ASSOCIATED EVENTS -*Summer School *on Computational Intelligence and Applications ( http://la-cci.org/la-cci-2019/summer-school-on-computational-intelligence-and-applications-ssocia-2019/ ) -Theses *Competition* ( http://la-cci.org/la-cci-2019/theses-competition-2019/) -IEEE *ETCM 2019* (Fourth Ecuador Technical Chapters Meeting) -*Industry & Application Sessions*, Round Tables and more -Social events and a possible visit to the *Galapagos Islands* KEY DATES & SUBMISSIONS -Papers: .submissions - July 31 Notification of acceptance - August 31 Camera ready - September 22 -Theses: .submissions - July 31 (Context) .result notification - August 31 -Registration reduced fees: - Jun 30 - Sept 22 -2019 IEEE LA-CCI (Main conference): - November 13-15 (School CI&Apps): - November 11-12 (All dates http://la-cci.org/la-cci-2019/dates-subm-registration-2019/ ) *Attached is the CFP (PDF Version) of the IEEE LA-CCI 2019 *** Please feel free to distribute this announcement widely* VENUE Guayaquil is the largest and most populous city in Ecuador. It is the major commercial town of the country with most of the import and export trade being conducted through the Gulf of Guayaquil. A large population of the city engages in trade and other informal activities such as agriculture, aquaculture, and other businesses. The city serves other functions such as transport, education, sports, tourism, and entertainment. Guayaquil is the closest port to the Galapagos Islands, which is must see! * We invite you to see this video of the charming Guayaquil (https://www.youtube.com/watch?v=ZftCQx4zSRE )* PUBLICATION, REGISTRATION & COPYRIGHT LA-CCI only accepts publications in English. All accepted publications will be indexed in the IEEE base. Some selected articles will make some special issues and will be picked for international journals, following additional extension and an additional review process (depending on each journal policy). At least one author of each accepted has to register. More details here ( http://la-cci.org/la-cci-2019/dates-subm-registration-2019/) PREVIOUS EDITIONS OF LA-CCI *Guadalajara/Mexico-2018 , Arequipa/Peru-2017 , Cartagena/Colombia-2016 , Curitiba/Brazil-2015 , and Bariloche/Argentina-2014 * We wait for you in the beautiful Guayaquil. We are positive that the conference will be a great hit, as it has been the five previous editions Prof. Fernando Buarque - Steering Committee Coordinatior Prof. Otilia Molina - General Chair of LA-CCI 2019 [image: image.png] Cristian Rodriguez Rivero, Ph.D, EE Center for Neuroscience University of California LA-CIS Board of Directors and Steering Committee (la-cci.org) Adj. Prof. at Aeronautical University Institute (IUA) http://fi.iua.edu.ar/ Mathematics Research Laboratory applied to Control (LIMAC) Universidad Nacional de C?rdoba *www.inv.limac.efn.uncor.edu/?page_id=292 *, e-mail: crodriguezrivero at ieee.org , crivero at iua.edu.ar crodriguezrivero at ucdavis.edu Cell: +1 (530) 407-9152 <%2B1%20%28530%29%20757-8827> -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image.png Type: image/png Size: 378587 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: SECOND CFP IEEE LA-CCI 2019.pdf Type: application/pdf Size: 337885 bytes Desc: not available URL: From PAVIS at iit.it Thu May 9 08:37:50 2019 From: PAVIS at iit.it (IIT PAVIS) Date: Thu, 9 May 2019 14:37:50 +0200 Subject: Connectionists: Open PhD call 2019 - Italian Institute of Technology (Pattern Analysis & Computer Vision - PAVIS & Visual Geometry and Modeling Lab - VGM Lab) and University of Genova, Italy In-Reply-To: <55c8870c2691471caea83e1d257c232c@iit.it> References: <55c8870c2691471caea83e1d257c232c@iit.it> Message-ID: PhD CALL FOR APPLICATIONS 2019 Italian Institute of Technology - Pattern Analysis & Computer Vision (PAVIS),?Visual Geometry and Modeling Lab (VGM Lab) and University of Genova, Italy PhD Course on SCIENCE AND TECHNOLOGIES FOR ELECTRONICS AND TELECOMMUNICATION ENGINEERING, curriculum in "COMPUTATIONAL VISION, PATTERN RECOGNITION AND MACHINE LEARNING (CODE 7790)" Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together with the University of Genova opened the call for the 2019 Doctoral Course on Sciences & Technologies for Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning (www.iit.it/phd-school). 6 PhD positions are available at the Pattern Analysis and Computer Vision (PAVIS) Dept. and Visual Geometry and Modelling (VGM) Lab to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes (for details see https://pavisdata.iit.it/data/phd/ResearchTopicsPhD2019_IIT-PAVIS+VGM.pdf) Theme A: Computer vision for the prediction of human intentions, activities and behavior Theme B: Human body modeling for Socially-Aware Computer Vision Theme C: 3D Scene understanding with geometrical and deep learning reasoning Theme D: Multi-modal scene understanding Theme E: Computer vision into the wild Theme F: Zero ? and Few ? Shot Learning Theme G: Crowd behavioral analysis and event recognition Theme H: Re-identification Theme I: Biomedical imaging & Neuroimaging Theme L: Movement and behavior analysis in biomedical applications More info on the above research topics can be found at https://pavisdata.iit.it/data/phd/ResearchTopicsPhD2019_IIT-PAVIS+VGM.pdf or directly asked to Prof. V. Murino (pavis at iit.it), or any other tutor indicated in the list of themes. The PhD program on the listed themes will take place at the PAVIS department of Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it). The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, even multidisciplinary, in collaboration with other research groups in IIT. PAVIS staff has a wide expertise in computer vision and pattern recognition, machine learning, image processing, and related applications (mainly related to surveillance/security and biomedical tasks). For more information, you can also browse the PAVIS (http://pavis.iit.it/) and VGM Lab webpages (http://vgm.iit.it/) to see our activities and research. To apply, follow the instructions indicated at the following links where the notice of public examination in Italian and in English are published: https://unige.it/usg/it/dottorati-di-ricerca https://unige.it/en/students/phd-programmes In short, the documentation to be submitted is a detailed CV, a research proposal under one or more themes chosen among those above indicated (please, see also a project proposal template at the link indicated below), reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. IMPORTANT: In order to apply, candidates must prepare a research proposal based on the research topics above mentioned. Please, follow these indications to prepare it: https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf ONLINE APPLICATION DEADLINE is June 12th, 2019 at 12:00 p.m. (noon, Italian time/CET) ? STRICT DEADLINE, NO EXTENSION. APPLICATIONS are possible through University of Genoa ONLINE PROCEDURE ONLY - https://unige.it/usg/it/dottorati-di-ricerca -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- _______________________________________________ visionlist mailing list visionlist at visionscience.com http://visionscience.com/mailman/listinfo/visionlist_visionscience.com From maya.aghaei at iit.it Wed May 8 11:39:27 2019 From: maya.aghaei at iit.it (Maedeh Aghaei Gavari) Date: Wed, 8 May 2019 15:39:27 +0000 Subject: Connectionists: Call for Papers: Applications of Egocentric Vision Workshop (EgoApp) in conj. with BMVC'19 Message-ID: <4ea133c53936440cb0a3a104e846b1fc@iit.it> Apologies for cross-posting. Kindly help to distribute this call to your mailing list. ===================================================================================== Call for papers: Applications of Egocentric Vision Workshop (EgoApp) 12th September, 2019 (Afternoon). In conjunction with BMVC 2019 Website: https://egoappworkshop.wordpress.com/ EgoApp aims to bring together diverse communities related to egocentric vision, such as computer science or social science to discuss the current and next generation of related technologies. To this end, both research and industry communities are invited to submit their recent outcomes in the format of a paper or a position paper. Submissions are expected to deal with egocentric vision including, but not limited to: ? Wearable technologies for egocentric vision acquisition, computation, and perception ? Assistive technologies for personalized monitoring ? Object detection and recognition from egocentric vision ? Person identification in egocentric videos ? Activity recognition in egocentric vision ? Visual lifelogging and summarization of egocentric videos ? Scene understanding from egocentric vision ? Human computer/robot interaction using egocentric vision ? Social signal analysis and behaviour modelling in egocentric vision ? Understanding of group dynamics in egocentric vision ? Attention, fixation, and saliency modelling and prediction ? Perception in virtual and augmented reality ? Ethics and social issues in egocentric vision Submission Papers will be limited up to 9 pages excluding references according to the BMVC format. 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. Paper submission and registration are handled via CMT. BMVC 2019 organisers will collect workshop registrations, provide facilities, and distribute electronic copies of the workshop proceedings. Important Dates Paper submission deadline: June 30th, 2019 (23:59 Pacific Standard Time) Paper acceptance notification: July 29th, 2019 Camera ready submission: August 10th, 2019 Workshop: September 12th, 2019 (Afternoon) Organizers Maya Aghaei, Istituto Italiano di Tecnologia, Italy Cigdem Beyan, Istituto Italiano di Tecnologia, Italy Fernando De la Torre, Facebook Research, USA Vittorio Murino, Istituto Italiano di Tecnologia, Italy ===================================================================================== Bests, ----- Maya Aghaei, Ph.D. PostDoctoral Researcher Istituto Italiano di Tecnologia - PAVIS -------------- next part -------------- An HTML attachment was scrubbed... URL: From epidamik at gmail.com Thu May 9 12:55:47 2019 From: epidamik at gmail.com (Epidamik Workshop) Date: Thu, 9 May 2019 12:55:47 -0400 Subject: Connectionists: [CFP] ACM KDD epiDAMIK'19 - International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (Anchorage, Alaska) Message-ID: ** Call for Papers ** for International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK) 2019 Anchorage, Alaska, August 5, 2019. held in conjunction with the ACM SIGKDD 2019 conference. URL: http://people.cs.vt.edu/~badityap/epidamik/ ***Organizers*** - B. Aditya Prakash, Computer Science, Virginia Tech. - Anil Vullikanti, Computer Science and Biocomplexity Institute, Univ. of Virginia - Shweta Bansal, Biology, Georgetown University - Adam Sadilek, Google ***Call for Papers*** This workshop is a forum to discuss new insights into how data mining can play a bigger role in epidemiology and public health research. While the integration of data science methods into epidemiology has significant potential, it remains under studied. We aim to raise the profile of this emerging research area of data-driven and computational epidemiology, and create a venue for presenting state-of-the-art and in-progress results?in particular, results that would otherwise be difficult to present at a major data mining conference, including lessons learnt in the ?trenches?. The epiDAMIK at KDD in London, 2018 was a great success. Our target audience consists of data mining and machine learning researchers from both academia and industry who are interested in epidemiological and public-health applications of their work. Additionally, we are aiming to attract researchers and practitioners from the areas of mathematical epidemiology and public health, who are increasingly dealing with more complex models and novel data sources??these problems bring up novel challenges from a data mining and machine learning perspective. To reflect the broad scope of work, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation, to applications and empirical studies, from both data mining and public health viewpoints. Topics of interest include, but are not limited to: - Epidemiologically-relevant data collection - Advances in modeling, simulation and calibration of disease spread models - Syndromic surveillance using social media, search and other data sources - Challenges in model validation against ground truth - Outbreak detection and inference - Visualization of epidemiological data - Planning for public health policy - Data-driven advances in control and optimization (like immunization) - Forecasting disease outcomes - Graph mining and network science approaches to epidemiology - Crowdsourced methods for detection and forecasting - Use of novel datasets for prediction and analysis (including EHR records) - Data mining data for hospital acquired infections like C.Diff, MRSA etc. - Identifying health behaviors - Handling missing and noisy data - Disease forecasting challenge (like the CDC Flu Challenge) experiences We invite the submission of regular research papers (6-8 pages) as well as work-in-progress, demo or vision papers (2-4 pages). We also welcome shorter version of papers already published elsewhere (say in a public health focused journal). We recommend papers to be formatted according to the standard double-column ACM Proceedings Style. All papers will be peer reviewed and single-blinded. Authors whose papers are accepted to the workshop will have the opportunity to participate in a poster session, and some set may also be chosen for oral presentation. The accepted papers will be published online and will not be considered archival. For paper submission, please proceed to the submission website: https://easychair.org/conferences/?conf=epidamik2019 Please send any enquiries to epidamik at gmail.com. ****Important Dates**** All deadlines are set at 11:59 PM Pacific Daylight Time. - Submission site open: April 10, 2019 - Workshop paper submissions: May 20, 2019 - Workshop paper notifications: June 14, 2019 - Camera-ready papers due: July 1, 2019 - Workshop date: August 5, 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From annalisa.riccardi at strath.ac.uk Wed May 8 11:27:35 2019 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Wed, 8 May 2019 15:27:35 +0000 Subject: Connectionists: Funded PhD opportunity (University of Strathclyde - Glasgow) on Satellite Image Processing Message-ID: <5F981B7DF1B7214DB40BAA37423DD2B636E2EC26@EX2010-MBX1.ds.strath.ac.uk> **** PhD position on Satellite Image Processing within the Centre for Doctoral Training in Socially Progressive Innovation and Entrepreneurship**** Fully funded PhD position available at the Department of Mechanical and Aerospace Engineering of the University of Strathclyde (Scotland, UK) in collaboration with Strathclyde Business School. Project Start Date: October 2019 (42 months). Supervisors: Dr Annalisa Riccardi *Eligibility* - Prior knowledge/experience on image processing, remote sensing, big data analytics. - Computational skills and experience in higher-level languages, such as C/C++ are required. Experience of digital image acquisition will be useful. - Background in science (maths, computer science) or engineering (electrical & electronic, mechanical, civil) with a first or 2:1 UK Honours degree, or overseas equivalent and/or a Masters degree. - Excellent analytical skills and a demonstrable aptitude to undertake research and develop into an independent researcher - Aptitude to work in a multidisciplinary and multicultural environment. - Excellent written and oral English language skills. *Project Details* The project aims at monitoring and mapping from ground and space water and energy networks together with those elements in their surroundings that can have an impact on their accessibility and use. These are for example geomorphic features of the territory, size and shape of habitat/inhabitant centres, crops and plantations, community services, road networks. With this big-data approach, it will be possible to detect cause-effect correlations that are not so intuitive or straightforward. Once the water sources and energy networks are modelled and mapped, the next stage of the project will consist of investigating if and how access to water, sanitation and energy can spill over to financial and economic domains, through innovation and entrepreneurship. *Additional details on the Centre for Doctoral Training* The University of Strathclyde is delighted to announce the establishment of the Centre for Doctoral Training (CDT) in Socially Progressive Innovation and Entrepreneurship (SPIE). The aim of the CDT is to develop a social science research lab aimed at addressing the United Nations Sustainable Development Goals (UN SDGs) through market-based mechanisms and theory linked interventions. The CDT aims to train the next generation of researchers who will design, develop and test novel theories to advance research on social entrepreneurship and innovation, and will build capacity through providing training in specialised advanced quantitative and qualitative research methods. The CDT is a multidisciplinary endeavour bringing together faculty from Strathclyde Business School (Dr. Sreevas Sahasranamam, Dr. Tiago Loncan and Dr. Katerina Nicolopoulou), Dept of Mechanical and Aerospace Engineering (Dr. Annalisa Riccardi and Dr. Edmondo Minisci), and Dept. of Civil and Environmental Engineering (Prof. Robert Kalin). Successful applicants will also be part of a vibrant research group working on UN SDGs consisting of a number of PhD students, research assistants, postdoctoral researchers, academic supervisors as well as other associated faculty. The research group has a number of large-scale active research projects and upcoming proposals, which will provide hands-on training. For instance, Prof. Robert Kalin is the Director, Climate Justice Fund Water Futures Programme, which runs an elaborate project in Malawi mapping its water points. *Funding Details* - One studentship covering home/EU fees and a tax-free stipend circa ?15,000 per annum for 42 months. International applicants will need to cover the difference between Home/EU and International fees. - We also welcome self-funded or externally funded applications. The student will be part of the Intelligent Computational Laboratory (ICE Lab, www.icelab.uk) of the Aerospace Centre of Excellence of the Mechanical and Aerospace Engineering Department of the University of Strathclyde, Glasgow, UK. ***Application deadline: 30 June 2019*** In the first instance, interested parties should contact (with their CV) the supervisor: annalisa.riccardi at strath.ac.uk From martin.hepp at unibw.de Thu May 9 08:43:43 2019 From: martin.hepp at unibw.de (Hepp Martin) Date: Thu, 9 May 2019 12:43:43 +0000 Subject: Connectionists: [CfP] 2nd Call for Papers - CoopIS 2019: 27h International Conference on Cooperative Information Systems Message-ID: <4065CB34-E652-4A0E-B989-CAD5CEC397DA@unibw.de> ** Please accept our apologies for cross-posting. ** Please share this Call for Papers with colleagues. ---------------------------------------------------------------------------- Call for Papers CoopIS 2019: 27h International Conference on Cooperative Information Systems Rhodes, Greece, October 23-25, 2019 http://www.otmconferences.org/index.php/conferences/coopis19 ---------------------------------------------------------------------------- +++++++++++++++++++++++++++++++++++++++++ Abstract submission: July 7, 2019 Submission deadline: July 15, 2019 (firm) Proceedings: Springer LNCS +++++++++++++++++++++++++++++++++++++++++ Aim and Scope ============= The International Conference on Cooperative Information Systems is an established international event for presenting and discussing scientific contributions to technical, economical, and societal aspects of distributed information systems at scale. The guiding theme of this 27th conference is "Information Systems in a Data Society", with a particular focus on the following areas: Topic 1: Data, Information, and Knowledge Engineering Topic 2: Machine-Learning and Knowledge Reconstruction and Discovery Topic 3: Semantic Web and Linked Open Data Topic 4: Security and Privacy Topic 5: Internet of Things Topic 6: Architecture and Management of Information Systems Topic 7: Human Aspects and Social Interaction Topic 8: Services in Information Systems For a detailed description of topics, please see below. As in previous years, CoopIS 2019 will be part of the OTM Federated Conferences ("OnTheMove"), covering different aspects of distributed information systems. Track Descriptions ================== Relevant topics for the conference include, but are not limited to the following: Track 1: Data, Information, and Knowledge Engineering ----------------------------------------------------- * Conceptual Modeling * Ontology Engineering * Data Structures in Shared Information Systems * Ontology and Schema Alignment and Interoperability * Evolution and Maintenance of Conceptual Models * Big Data * Data Quality Management * Meta-Modelling * Human-Computer Interaction Track 2: Machine Learning and Knowledge Reconstruction and Discovery -------------------------------------------------------------------- * Machine Learning * Deep Learning * Data Mining * Process Mining * Data Analytics Track 3: Semantic Web and Linked Open Data ------------------------------------------ * Web Architecture * Tools * Vocabularies for the Semantic Web * Applications and Use Cases * Formalisms and Syntaxes * Querying Graph Data and Query Languages * Inference and Reasoning * RDF Data Shapes Track 4: Security and Privacy ----------------------------- * Access Control * Blockchain-based Approaches * Cryptocurrencies * Information Entropy Track 5: Internet of Things --------------------------- * Connectivity, Interfaces, and Protocols * Data Structures for IoT * Storage and Data Management * Computing and Processing in IoT Environments * Sensors and Actuators * Semantic Sensor Web * Applications and Use Cases Track 6: Architecture and Management ------------------------------------ * Information Architecture * Enterprise Architecture Management * Software Engineering Track 7: Human Aspects and Social Interaction --------------------------------------------- * Economics of Cooperative Information Systems * Visualization * Human-Computer Interaction * Incentives and User Contributions * Reputation Management Track 8: Services in Information Systems ---------------------------------------- * Web Services * APIs * Services Science * Business Models * Service Engineering * Service Management Submission Guidelines ===================== Authors are invited to submit original, unpublished research papers that are not under review for another conference, workshop, or journal. The contributions should address research questions from one or more of the areas listed above. We are particularly encouraging 1. Contributions that describe and evaluate technological innovations (e.g. new methods and approaches); 2. Empirical studies (e.g. quantitative data on the effects of novel approaches in technical, social, or economic terms); and 3. Systematic surveys of competing techniques and paradigms. The questions addressed should be practically relevant and of generic interest. Full-papers should include a systematic evaluation of the contribution and relate it to the established state of the art and alternative recent contributions. Short papers may present work with preliminary evidence. Submitted papers will be peer-reviewed by at least three reviewers. Papers will be evaluated according to originality, significance, technical soundness, and clarity. At least one author is required to register for the conference and to present the paper. Submissions for full papers must not exceed 18 pages in the final camera-ready style. Short papers should be up to 8 pages. Submissions must be formatted according to the Springer LNCS instructions at http://www.springer.de/comp/lncs/authors.html and must be uploaded in PDF format. The final proceedings will be published by Springer Verlag in the LNCS (Lecture Notes in Computer Science) series. Electronic submission of all manuscripts via the following EasyChair link is required: https://easychair.org/conferences/?conf=otm2019 Important: The three conferences of OTM are managed by a single EasyChair installation; it is thus extremely important that you submit your paper to the track "27th International Conference on Cooperative Information Systems". Failure to commit to presentation at the conference will lead to a the removal of the paper from the proceedings. Important Dates =============== Abstract submission: July 7, 2019, 23:59:59 Hawaii Time Submission deadline: July 15, 2019, 23:59:59 Hawaii Time Notification of acceptance: August 13, 2019 Camera-ready Version due: Aug 30, 2019 Author registration due: Aug 30, 2019 Conference: October 23-25, 2019 General Chairs ============== Martin Hepp, Universitaet der Bundeswehr Muenchen, Munich, Germany Maria Maleshkova, University of Bonn, Bonn, Germany Program Committee ================= The list of PC members will be added to the conference page shortly. Contact ======= Univ.-Prof. Dr. Martin Hepp Chair of Web Science and Digitalization Universitaet der Bundeswehr Muenchen Werner-Heisenberg-Weg 39 D-85579 Neubiberg, Germany Phone: +49 89 6004-4217 eMail: martin.hepp at unibw.de Web: http://www.heppnetz.de/ Web: http://www.unibw.de/ebusiness/ Dr. Maria Maleshkova Assistant Professor, Smart Data Analytics Group Institut fuer Informatik III Universitaet Bonn Endenicher Allee 19a D-53115 Bonn, Germany eMail: maleshkova at cs.uni-bonn.de Web: http://maleshkova.com From valentina.ivanova at ri.se Thu May 9 11:21:34 2019 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Thu, 9 May 2019 15:21:34 +0000 Subject: Connectionists: [CfP] VOILA!2019 @ISWC2019 5th International Workshop on Visualization and Interaction for Ontologies and Linked Data Message-ID: CALL FOR CONTRIBUTIONS VOILA 2019 - Visualization and Interaction for Ontologies and Linked Data 5th International Workshop at ISWC 2019, 18th International Semantic Web Conference October 26 or 27, Auckland, New Zealand http://voila2019.visualdataweb.org -------------------------------------------------- Abstracts Deadline: June 21, 2019 Submission Deadline: June 28, 2019 -------------------------------------------------- We are looking for submissions addressing one or more of the following topics, subjects, and contexts (or related ones): * Topics: - visualizations - user interfaces - visual analytics - requirements analysis - case studies - user evaluations - cognitive aspects * Subjects: - ontologies - linked data - knowledge graphs - ontology engineering (development, collaboration, ontology design patterns, alignment, debugging, evolution, provenance, etc.) * Contexts: - classical interaction contexts (desktop, keyboard, mouse, etc.) - modern interaction contexts (mobile, touch, gesture, speech, etc.) - special settings (large, high-resolution, and multiple displays, etc.) - specific user groups and needs (people with disabilities, domain experts, etc.) Submission Guidelines ========== The following types of contributions are welcome. The recommended page length is given in brackets. There is NO strict page limit but the length of a paper should be commensurate with its contribution. - Full research papers (8-12 pages); - Experience papers (8-12 pages); - Position papers (6-8 pages); - Short research papers (4-6 pages); - System papers (4-6 pages). Accepted papers will be published as a volume in the CEUR Workshop Proceedings series. Important Dates ========== Abstract: June 21, 2019 Submission: June 28, 2019 Notification: July 24, 2019 Camera-ready: August 16, 2019 Workshop: October 26 or 27, 2019 Organizers ========== Catia Pesquita, University of Lisbon, Portugal Patrick Lambrix, Link?ping University, Sweden Steffen Lohmann, Fraunhofer IAIS, Germany Valentina Ivanova, RISE Research Institutes of Sweden, Sweden Vitalis Wiens, University of Bonn, Fraunhofer IAIS & TIB, Germany Looking forward to your submissions & meeting you there! Catia, Patrick, Steffen, Valentina, and Vitalis -------------- next part -------------- An HTML attachment was scrubbed... URL: From inesdomingues at gmail.com Wed May 8 15:54:47 2019 From: inesdomingues at gmail.com (=?UTF-8?Q?In=C3=AAs_Domingues?=) Date: Wed, 8 May 2019 20:54:47 +0100 Subject: Connectionists: VipIMAGE 2019 Porto, Portugal - FINAL CALL FOR CONTRIBUTIONS Message-ID: ----------------------------------------------------------------------------------------------------------- VII ECCOMAS Thematic Conference VipIMAGE 2019 www.fe.up.pt/vipimage October 16-18, 2019, Porto, Portugal Chairs: Jo?o Manuel R. S. Tavares & Renato Natal Jorge, Universidade do Porto ----------------------------------------------------------------------------------------------------------- Dear Colleague, This is the final call for contributions to the International Conference VipIMAGE 2019 - VII ECCOMAS THEMATIC CONFERENCE ON COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING (www.fe.up.pt/vipimage) to be held in October 16-18, 2019, in Axis Vermar Conference & Beach Hotel, Porto, Portugal. Possible Topics (but not limited to) - Signal and Image Processing - Computational Vision - Medical Imaging - Physics of Medical Imaging - Tracking and Analysis of Movement - Simulation and Modeling - Image Acquisition - Industrial Applications - Shape Reconstruction - Segmentation, Matching, Simulation - Data Interpolation, Registration, Acquisition and Compression - 3D Vision - Machine Learning, Deep Learning and Big Data - Virtual Reality - Visual Inspection - Software Development for Image Processing and Analysis - Computer Aided Diagnosis, Surgery, Therapy, and Treatment - Computational Bioimaging and Visualization - Telemedicine Systems and Applications Invited Lecturers - Aur?lio Campilho, Universidade do Porto, Portugal - Danail Stoyanov, University College London, UK - Daniela Iacoviello, Sapienza University of Rome, Italy - Jo?o Paulo Papa, Universidade Estadual de S?o Paulo, Brazil - Jos Vander Sloten, KU Leven, Belgium - Wafa Skalli, Arts et M?tiers ParisTech, France Thematic Sessions Proposals to organize Thematic Sessions under the auspicious of VipIMAGE 2019 are welcome. The proposals should be submitted by email to the conference co-chairs ( tavares at fe.up.pt, rnatal at fe.up.pt). Accepted Thematic Sessions - Cardiovascular, Cerebrovascular and Orthopaedic diseases: Imaging and Modelling - Advances and Imaging Challenges in Micro and Nanofluidics - Intersection between Image Processing and Machine Learning in Biomedical Applications - Direct Digital Fabrication in Medicine: from digital data to physical models - Computer Simulations and Visualization Applied to Tissue Engineering - Parameterization of Reconstructed Organ Models - Computational vision and image processing applied to Dentistry - Network Neuroscience - Applications of Ontologies for Medical Image Analysis and Computer-Assisted Interventions Publications Proceedings: The proceedings book will be published by Springer under the book series "Lecture Notes in Computational Vision and Biomechanics" indexed by Elsevier Scopus. Journal Publication: A dedicated special issue of the Taylor & Francis international journal "Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization" indexed in Scopus, DBLP and Clarivate Analytics Emerging Sources Index will be published with extended versions of the best works presented in the conference. Springer Book: A book with invited works from the ones presented in the conference will be organized for publishing by Springer. Important Dates - Deadline for Extended Abstracts: May 31, 2019 - Authors Notification: June 15, 2019 - Deadline for Papers (non-mandatory): July 15, 2019 Submission - Instructions for authors available at: https://paginas.fe.up.pt/~vipimage/nav/conference/instructions.html - The contributions should be submitted using the conference management system at: http://conference.mercatura.pt/vipimage2019 We are looking forward to see you in Porto in October, 2019, Jo?o Manuel R. S. Tavares Renato Natal Jorge (VipIMAGE 2019 co-chairs) For further details, please, have a look in the conference website at: www.fe.up.pt/vipimage, the Facebook page at: www.facebook.com/ECCOMASVipIMAGE, or join the LinkedIn group at: www.linkedin.com/groups/4752820. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dlinnlp at gmail.com Thu May 9 05:53:39 2019 From: dlinnlp at gmail.com (Slavi Slavov) Date: Thu, 9 May 2019 12:53:39 +0300 Subject: Connectionists: EUROPHRAS 2019 Last call for submission of regular, short and poster papers Message-ID: *** EUROPHRAS 2019 Last call for submission of regular, short and poster papers *** This is the last call for submitting regular, short and poster papers to EUROPHRAS 2019 for which the deadline is 15 May 2019. The deadline for submitting abstracts only for oral presentation remains 15 June 2019. All information about submission guidelines and publication opportunities can be found on the EUROPHRAS 2019 website here . Spanish version is available here . -------------- next part -------------- An HTML attachment was scrubbed... URL: From s.caspers at fz-juelich.de Fri May 10 06:10:39 2019 From: s.caspers at fz-juelich.de (Svenja Caspers) Date: Fri, 10 May 2019 12:10:39 +0200 Subject: Connectionists: =?utf-8?q?PostDoc_position_in_Population_Neuroima?= =?utf-8?q?ging_available=2C_Connectivity_Group=2C_Research_Centre_J=C3=BC?= =?utf-8?q?lich_=28Germany=29?= In-Reply-To: <58dbd2db-51d1-7b63-df84-0d5fd18454d8@fz-juelich.de> References: <58dbd2db-51d1-7b63-df84-0d5fd18454d8@fz-juelich.de> Message-ID: <329b2e95-6a06-8d3f-5486-c07069f3a513@fz-juelich.de> The Connectivity Group (lead: Prof. Dr. Svenja Caspers) of the Institute of Neuroscience and Medicine (INM-1), Research Centre J?lich (Germany) is seeking applications for a *PostDoctoral Research Position in Population Neuroimaging* ** (E 13 TV?D; 39 hours/week) The Connectivity Group focuses on the investigation of brain variability throughout the life span in relation to environmental and genetic factors, with a particular focus on the aging brain and taking advantage of large population-based cohorts who underwent MR neuroimaging (e.g. UK Biobank, German National Cohort, Human Connectome Project, 1000BRAINS). Specific aspects include structural, resting-state functional connectivity as well as advanced diffusion imaging for structural connectivity analyses, including graph-theory analyses. Large cohorts of thousands of subjects are processed using adjusted pipelines and workflows for high-throughput imaging analytics based on common software packages (e.g. FreeSurfer, FSL, MRtrix) on available high-performance computing systems of the Research Centre J?lich. Current interests cover topics in advanced statistical analyses and data-driven methods using machine-learning and deep learning approaches. These efforts are part of current projects within the Human Brain Project (HBP). The successful candidate has a PhD in neuroscience, computer science, psychology, medicine or related fields and has experience with processing and analyses of MR neuroimaging data in larger cohorts. A strong interest and expertise in applying machine-learning to large neuroimaging datasets is highly desired to enable the candidate to conduct novel and innovative research projects to understand the normal variability of brain aging. Your profile: - deep knowledge of several software packages for processing of neuroimage data (e.g. FreeSurfer, FSL, MRtrix), also including respective python packages (e.g. NiPy, DiPy) and longitudinal pipelines - profound expertise in multivariate statistical analyses, including usage of software for large-scale statistical analyses (e.g. R) and modelling of non-linear and longitudinal effects - profound programming skills (e.g. Python) enabling high-throughput big data analyses - knowledge of and interest in machine-learning and deep-learning techniques to be applied to large neuroimage datasets of population-based cohorts - familiarity in working with large datasets - strong publication track record - ability to work independently - high proficiency in English The applicant will become part of an interdisciplinary team of PostDocs, PhD and MD students with various backgrounds. He / she will have ample possibilities to expand his / her own knowledge and expertise and interact and collaborate with colleagues from different fields, including big data analytics, genetics, epidemiology and microscopic analyses. With our group closely collaborating with the J?lich Supercomputing Center, the applicant will join current efforts in bringing population neuroimaging analytics to high-performance computing clusters for efficient and novel analyses approaches. The applicant will be involved in the supervision and mentoring of PhD, MD, master and bachelor students. Funding for the position is available for two years. Applications will continue to be received until the position is filled. Please send your comprehensive application, including CV, publication record, copies of relevant certificates and either reference letters or names of two potential references to Prof. Dr. Svenja Caspers (s.caspers at fz-juelich.de ). -- ============================== *Univ.-Prof. Dr. med. Dr. rer. pol. Svenja Caspers * ?? Direktorin Institut f?r Anatomie I ?? Heinrich-Heine-Universit?t D?sseldorf ?? 40221 D?sseldorf (Deutschland) ?? Tel.: 0211-8112678 ?? Email: svenja.caspers at hhu.de svenja.caspers at med.uni-duesseldorf.de /und / ?? Arbeitsgruppe Konnektivit?t ?? Institut f?r Neurowissenschaften und Medizin (INM-1) ?? Forschungszentrum J?lich GmbH ?? 52425 J?lich (Deutschland) ?? Tel.: 02461-611742 ?? Email: s.caspers at fz-juelich.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From almarahat at gmail.com Fri May 10 04:38:14 2019 From: almarahat at gmail.com (Alma Rahat) Date: Fri, 10 May 2019 09:38:14 +0100 Subject: Connectionists: Funded PhD position on Behaviour-Driven Optimisation of Neural Connectivity at the University of Plymouth, UK (deadline: 31st May). Message-ID: Director of Studies: Dr Alma Rahat ( https://www.plymouth.ac.uk/staff/alma-rahat) 2nd Supervisor: Prof. Roman Borisyuk ( https://www.plymouth.ac.uk/staff/roman-borisyuk) Applications are invited for a three-year PhD studentship. The studentship will start on 1st October 2019. Project Description. ------------------------- The PhD student will join an interdisciplinary team of experts in optimisation and computational neuroscience to answer an extremely important question: how does the neural connectivity determine behaviours? To answer this question, the student will design computational models of neural networks, and use advanced machine learning and optimisation techniques to find the correspondence between connectivity and functionality. Information processing in the brain, and ultimately observed behaviour, are based on the communication between spiking neurons that are embedded in a network of synaptic connections. In nature, different individual organisms usually have different connectivity (represented by a graph of interconnected nodes) that can produce the same behaviour. It is therefore not obvious how to locate optimal neural connectivity to match a desirable behaviour. In this exciting project, we aim to develop a novel approach towards solving this optimisation problem. The connectivity graph can be described in terms of connection probabilities, which should be optimised to generate a target behaviour. This is a very important problem, but the computational complexity renders traditional optimisation algorithms impractical. Thus, we expect Bayesian optimisation to be an efficient approach in this context. However, this method must be adapted for graph-based problems. In this project, we will explore various uncertainty quantification methods for graph connectivity to enable the use of Bayesian optimisation. To demonstrate the performance and test the efficacy of our methods, we will study the motor behaviours of a simple animal for which neurobiological data and effective models are available. Eligibility. ------------ Applicants should have (at least) a first or upper second class honours degree in Computer Science, Mathematics, or a related discipline. A relevant MSc or MRes qualification is desirable. A strong educational background and relevant skills are required: for example, knowledge of optimisation, graph theory and multi-variate calculus, and experience of software development using C++, Python or MATLAB. It would be beneficial for the student to have experience with machine learning or statistics, and knowledge of computational neuroscience. Funding. ----------- The studentship is supported for three years and includes full home/EU tuition fees plus a stipend of ?15,009 per annum. Applicants normally required to cover overseas fees will have to cover the difference between the home/EU and the overseas tuition fee rates (approximately ?12,285 per annum). How to apply? ------------------ If you wish to discuss this project further informally, please contact Dr Alma Rahat. However, applications must be made in accordance with the details shown in the webpage below. https://www.plymouth.ac.uk/student-life/your-studies/research-degrees/applicants-and-enquirers You can apply via the ?Apply? button above. Please mark it FAO Carole Watson and clearly state that you are applying for a PhD studentship within the School of Computing, Electronics and Mathematics. For more information on the admissions process contact Carole Watson (https://www.plymouth.ac.uk/staff/carole-watson). The closing date for applications is 12 noon on 31 May 2019. Shortlisted candidates will be invited for interview mid June. We regret that we may not be able to respond to all applications. Applicants who have not received an offer of a place by 30 June 2019 should consider their application has been unsuccessful on this occasion. See the following webpage for more information regarding this studentship. https://www.plymouth.ac.uk/student-life/your-studies/research-degrees/postgraduate-research-studentships/phd-opportunity-behaviour-driven-optimisation-of-neural-connectivity Come join us in solving this exciting problem! Best, Alma. -------------- next part -------------- An HTML attachment was scrubbed... URL: From weixu at cse.ohio-state.edu Fri May 10 12:53:19 2019 From: weixu at cse.ohio-state.edu (Xu, Wei) Date: Fri, 10 May 2019 16:53:19 +0000 Subject: Connectionists: EMNLP-IJCNLP 2019: Last Call for Papers (abstract due 5/15; paper due 5/21) Message-ID: 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing Hong Kong, CHINA November 3-7, 2019. https://emnlp-ijcnlp2019.org/ SIGDAT, the Association for Computational Linguistics (ACL) special interest group on linguistic data and corpus-based approaches to NLP, and the [http://www.afnlp.org%22/]AFNLP, the Asian Federation of Natural Language Processing, invite you to submit your papers to EMNLP-IJCNLP 2019, the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (November 3?7, 2019) in Hong Kong. We invite the submission of long and short papers related to empirical methods in natural language processing. Accepted papers will be presented as oral talks or posters. As in recent years, the conference will also include presentations of selected papers accepted by the Transactions of the Association for Computational Linguistics (TACL). TOPICS EMNLP-IJCNLP 2019 has the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order): * Dialog and Interactive Systems * Discourse and Pragmatics * Information Extraction * Information Retrieval and Document Analysis * Lexical Semantics * Linguistic Theories, Cognitive Modeling and Psycholinguistics * Machine Learning for NLP * Machine Translation and Multilinguality * Phonology, Morphology and Word Segmentation * Question Answering * Sentence-level Semantics * Sentiment Analysis and Argument Mining * Social Media and Computational Social Science * Speech, Vision, Robotics, Multimodal and Grounding * Summarization and Generation * Tagging, Chunking, Syntax and Parsing * Text Mining and NLP Applications * Textual Inference and Other Areas of Semantics IMPORTANT DATES * Anonymity period begins - Sunday April 21, 2019 * Abstracts due (long & short) - Wednesday May 15, 2019 * Submissions due (long & short) - Tuesday May 21, 2019 * Author response period starts - Tuesday July 9, 2019 * Author responses due - Monday July 15, 2019 * Notification of acceptance - Monday August 12, 2019 * Camera-ready due - Friday August 30, 2019 * Workshops & tutorials- November 3?4, 2019 * Main conference - November 5?7, 2019 Note. All deadlines are calculated at 11:59pm Pacific Daylight Savings Time (UTC -7h). ABSTRACTS AND PAPER SUBMISSION INFORMATION We will be accepting submissions online via START. The abstract submission deadline for both long and short papers is May 15, 2019, and the paper submission deadline for long and short papers is May 21, 2019. EMNLP-IJCNLP 2019 uses a double-blind review process. Each submission will be reviewed by at least three program committee members. Long papers EMNLP-IJCNLP 2019 long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Each submission will be reviewed by at least three program committee members. Each long paper submission consists of a paper of up to eight (8) pages of content, plus unlimited pages for references; final versions of long papers will be given one additional page (up to nine pages with unlimited pages for references) so that reviewers? comments can be taken into account. Short papers EMNLP-IJCNLP 2019 also solicits short papers. Short paper submissions must describe original and unpublished work. While a short paper is not a shortened long paper, the characteristics of short papers include: a small, focused contribution; work in progress; a negative result; an opinion piece; an interesting application nugget. Each short paper submission consists of up to four (4) pages of content, plus unlimited pages for references; final versions of short papers will be given one additional page (up to five pages in the proceedings and unlimited pages for references) so that reviewers? comments can be taken into account. Each short paper submission will be reviewed by at least three program committee members. IMPORTANT: Anonymity Period EMNLP-IJCNLP 2019 adopts ACL?s new policies for submission, review, and citation. Submissions that violate any of these policies will be rejected without review. Most importantly, the policies define an anonymity period, which starts on April 21, 2019 (11:59pm PDT). * You may not make a non-anonymized version of your paper available to the general community (for example, by posting it on your home page or submitting it to arXiv) during the anonymity period. However, you may take such an action before the anonymity period begins, even if the paper actually becomes public after the anonymity period begins (for example, because arXiv makes papers public one or two days after receiving them). * You may not update a non-anonymized version during the anonymity period, and we ask you not to advertise it on social media or take other actions that would further compromise double-blind reviewing during the anonymity period. * You may make an anonymized version of your paper available, even during the anonymity period (for example, on OpenReview). * During the anonymity period, you may not update a non-anonymized version, advertise an anonymized or non-anonymized version on social media, or take any other action that would compromise double-blind reviewing during the anonymity period. For the background of the new policies, refer to the online version. Instructions for Double-Blind Review To ensure anonymity, submissions and supplementary materials must not include the authors? names and affiliations. Furthermore, self-references that reveal the author?s identity, e.g., ?We previously showed (Smith, 1991) ??, should be avoided. Instead, use citations such as ?Smith (1991) previously showed ??. Acknowledgments of funding or assistance must also be omitted. Submissions should not contain pointers to supplemental information on the web; any such material should be submitted as supplementary materials (see above). Submissions that do not conform to these requirements will be rejected without review. Separate author identification information is required as part of the online submission process. Multiple Submission Policy EMNLP-IJCNLP 2019 will not consider any paper that is under review in a journal or another conference at the time of submission. Neither will the conference consider any paper that overlaps significantly in content or results with papers that will be (or have been) published elsewhere. In addition, authors may not submit the paper elsewhere during EMNLP-IJCNLP 2019's review period. Authors submitting more than one paper to EMNLP-IJCNLP 2019 must ensure that the submissions do not overlap significantly (>25%) with each other in content or results. Formatting Requirements Both long and short papers must follow the EMNLP-IJCNLP 2019 two-column format. Please do not modify these style files, or use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. All submitted papers must follow the EMNLP-IJCNLP 2019 two-column format, using the LaTeX style files, the Word template, or the Overleaf template. Please neither modify these style files, nor use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Optional Supplementary Materials: Appendices, Software and Data Each EMNLP-IJCNLP 2019 submission can be accompanied by a single PDF appendix, one one .tgz or .zip archive containing software, and one .tgz or .zip archive containing data. EMNLP-IJCNLP 2019 encourages the submission of these supplementary materials to improve the reproducibility of results, and to enable authors to provide additional information that does not fit in the paper. For example, preprocessing decisions, model parameters, feature templates, lengthy proofs or derivations, pseudocode, sample system inputs/outputs, and other details that are necessary for the exact replication of the work described in the paper can be put into the appendix. However, the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review or download them. If the pseudo-code or derivations or model specifications are an important part of the contribution, or if they are important for the reviewers to assess the technical correctness of the work, they should be a part of the main paper, and not appear in the appendix. Supplementary materials need to be fully anonymized to preserve the double-blind reviewing policy. PRESENTATION REQUIREMENT All accepted papers must be presented at the conference in order to appear in the proceedings. At least one author of each accepted paper must register for EMNLP-IJCNLP 2019. Accepted papers will be presented orally or as a poster (at the discretion of the program chairs based on the nature rather than the quality of the work). There will be no distinction in the proceedings between papers presented orally or as posters. FURTHER INFORMATION The conference website will continue to be updated with information on workshops, tutorials, the conference venue, traveling, etc. ORGANIZERS * General Chair: Kentaro Inui (Tohuku University, Japan) * Program Co-Chairs: Jing Jiang (Singapore Management University, Singapore), Vincent Ng (University of Texas at Dallas, USA), and Xiaojun Wan (Peking University, China) * Senior Area Chairs: * Dialog and Interactive Systems: Amanda Stent * Discourse and Pragmatics: Bonnie Webber * Information Extraction: Dan Roth * Information Retrieval and Document Analysis: Hang Li * Lexical Semantics: Mona Diab * Linguistic Theories, Cognitive Modeling and Psycholinguistics: Andrew Kehler * Machine Learning for NLP: Kevin Duh * Machine Translation and Multilinguality: Chris Quirk * Phonology, Morphology and Word Segmentation: Yuji Matsumoto * Question Answering: Scott Yih * Sentence-level Semantics: Mirella Lapata * Sentiment Analysis and Argument Mining: Yulan He * Social Media and Computational Social Science: Dirk Hovy * Speech, Vision, Robotics, Multimodal and Grounding: Li Haizhou * Summarization and Generation: Michael White * Tagging, Chunking, Syntax and Parsing: Yue Zhang * Text Mining and NLP Applications: Jimmy Lin * Textual Inference and Other Areas of Semantics: Alessandro Moschitti -------------- next part -------------- An HTML attachment was scrubbed... URL: From dwang at cse.ohio-state.edu Fri May 10 16:54:54 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Fri, 10 May 2019 16:54:54 -0400 Subject: Connectionists: Call for Nominations: Neural Networks Best Paper Award Message-ID: It is our pleasure to announce this year's Call for Nominations with the deadline of June 30: https://www.journals.elsevier.com/neural-networks/news/call-for-nominations-neural-networks-best-paper-award Information about the award is given below: https://www.journals.elsevier.com/neural-networks/news/neural-networks-best-paper-award Thanks, Kenji Doya and DeLiang Wang, Co-Editors-in-Chief -- ------------------------------------------------------------ DeLiang Wang, Professor Co-Editor-in-Chief, Neural Networks Department of Computer Science and Engineering The Ohio State University 2015 Neil Ave. Columbus, OH 43210-1277, U.S.A. Phone: 614-292-6827 (OFFICE); 614-292-7402 (LAB) http://www.cse.ohio-state.edu/~dwang "Happiness = Reality - Expectation" From cgf at isep.ipp.pt Fri May 10 18:32:33 2019 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Fri, 10 May 2019 22:32:33 +0000 Subject: Connectionists: CFP(deadline is May 12): KDD BigMine-19 - Workshop on Big Data on Streams and Heterogeneous Source Mining Message-ID: <8c212c77-10e8-ead2-148c-3cd55e520e4f@isep.ipp.pt> Big Data Mining (KDD BigMine-19) The 8th International Workshop on Big Data on Streams and Heterogeneous Source Mining - A KDD2018 Workshop KDD2018 Conference Dates: August 4-8, 2019 Workshop Date: Aug 5, 2019 Anchorage, Alaska - USA https://bigmine.github.io/bigmine19/ Scope The goal of the workshop is to provide a forum to discuss important research questions and practical challenges in big data mining and related areas. Novel ideas, controversial issues, open problems and comparisons of competing approaches are strongly encouraged. Representation of alternative viewpoints and discussions are also strongly encouraged. We invite submission of papers describing innovative research on all aspects of big data mining. Work-in-progress papers, demos, and visionary papers are also welcome. Papers emphasizing theoretical foundations, algorithms, systems, applications, language issues, data storage and access, architecture are particularly encouraged. ***************** Topics *Examples of topics of interest include: *Scalable, Distributed and Parallel Algorithms *Designing light?weighted data mining algorithm *New Programming Model for Large Data beyond Hadoop/MapReduce, STORM, streaming languages *Federated training using data from multiple devices *Mining Algorithms of Data in non-traditional formats (unstructured, semi-structured) *Applications: social media, Internet of Things, Smart Grid, Smart Transportation Systems *Streaming Data Processing *Heterogeneous Sources and Format Mining *Privacy issues of on-?device user data *Systems Issues related to large datasets: clouds, streaming system, architecture, and issues beyond cloud and streams. *System and platform for on?-device learning *Interfaces to database systems and analytics. *Evaluation Technologies *Integrating the design of human ?computer interaction with machinelearning algorithms *Visualization for Big Data *Applications: Large scale recommendation systems, social media systems, social network systems, scientific data mining, environmental, urban and other large data mining applications. **************** Submission Submitted papers will be assessed based on their novelty, technical quality, potential impact, and clarity of writing. For papers that rely heavily on empirical evaluations, the experimental methods and results should be clear, well executed, and repeatable. Authors are strongly encouraged to make data and code publicly available whenever possible. More details on submission: https://bigmine.github.io/bigmine19/submission.html Key Dates Paper Submission deadline: May 12, 2019, 23:59PM Pacific Standard Time Acceptance notification: June 1, 2019 Workshop: August 5, 2019 Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From ludovico.montalcini at gmail.com Sat May 11 13:36:15 2019 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Sat, 11 May 2019 18:36:15 +0100 Subject: Connectionists: Deep NeuroEvolution Workshop@LOD2019: Submit Your Paper by May 31 * Deep Neuroevolution: the new Deep Learning * Message-ID: Deep NeuroEvolution Workshop @ LOD 2019 5thInternational Conference on machine Learning, Optimization & Data science LOD, September 10-13, Siena (Tuscany) Italy https://lod2019.icas.xyz lod at icas.xyz Deep NeuroEvolution: A Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning The quest to evolve and optimize artificial neural networks through evolutionary computation. https://www.oreilly.com/ideas/neuroevolution-a-different-kind-of-deep-learning In last two years, the use of deep neuroevolution has enabled researchers to extend reinforcement learning techniques to solve increasingly complex learning tasks. The emerging field of deep neuroevolution has led to remarkable empirical results in rich and varied domains like strategy games and robotics. This workshop will bring together researchers working at the intersection of deep learning, evolutionary computation, optimization and reinforcement learning, and it will help interested researchers outside of the field gain a high-level view about the current state of the art and potential directions for future contributions. Submit your Deep Neuroevolution Paper by May 31 https://easychair.org/conferences/?conf=lod2019 Moreover, LOD 2019 is a great opportunity to present your work and congregate with leaders and experts in the Deep Learning, Optimization and Big Data. Feel free to check out our keynote speakers: ? Michael Bronstein, Imperial College London, UK ? Marco Gori, University of Siena, Italy ? Arthur Gretton, UCL, UK ? Arthur Guez Google DeepMind, Montreal, UK ? Kaisa Miettinen, University of Jyv?skyl?, Finland ? Jan Peters, Technische Universitaet Darmstadt ? Mauricio Resende, Amazon, USA ? Richard E. Turner, University of Cambridge, UK Submit your Paper by May 31 https://easychair.org/conferences/?conf=lod2019 ? Late Breaking Papers ? Poster Presentation ? Talk ? Deep Neuroevolution Workshop LOD 2019 will focus on advances in science, technology and applications in the fields of Machine Learning, Data Science and Optimization. Sessions ? LOD 2019 Big-Data Challenge: Our sponsor, Neodata Lab, will offer a prize of ?2000 to the applicant who develops the most accurate algorithm to process an ?approximate SQL-like query answering system? on a real dataset. ? Multi-Task Learning ? Reinforcement Learning ? Deep Learning ? Generative Adversarial Networks ? Deep Neuroevolution ? Networks with Memory ? Learning from Less Data and Building Smaller Models ? Simulation Environments to understand how AI Systems Learn ? Chatbots and Conversational Agents ? Data Science at Scale & Data in the Cloud ? Urban Informatics & Data-Driven Modelling of Complex Systems ? Data-centric Engineering ? Data Security, Traceability of Information & GDPR ? Economic Data Science See you in Siena in September! https://lod2019.icas.xyz lod at icas.xyz -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sun May 12 13:37:29 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sun, 12 May 2019 17:37:29 +0000 Subject: Connectionists: CASOS Summer Institute at CMU --- Center for Computational Analysis of Social & Organizational Systems In-Reply-To: References: , , , , , , , , Message-ID: Apologies if you receive multiple copies Some of us may be interested in the CASOS (Center for Computational Analysis of Social & Organizational Systems) Summer Institute at CMU, Jun 10 - Jun 16, 2019. Registration is now open. Visit the website for more information about the program, http://www.casos.cs.cmu.edu/events/summer_institute/2019/. 2019 Summer Institute | CASOS www.casos.cs.cmu.edu CASOS 2019 Summer Institute First day of training is Monday June 10th, instruction to begin at 8:30am. June 10 - 16, 2019 Carnegie Mellon University, Pittsburgh, PA USA Please see the attached. Don -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CASOS SI 2019 Announcement.pdf Type: application/pdf Size: 164542 bytes Desc: CASOS SI 2019 Announcement.pdf URL: From kostal at biomed.cas.cz Sun May 12 12:09:48 2019 From: kostal at biomed.cas.cz (Lubomir Kostal) Date: Sun, 12 May 2019 18:09:48 +0200 (CEST) Subject: Connectionists: Information theory workshop at CNS*2019 -- call for contributed talks Message-ID: Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience will be held once again at CNS*2019, Barcelona, Spain. The workshop will be held over the final two days of the main conference, July 16 and 17. Our confirmed invited speakers include the following (schedule available soon): * Julijana Gjorgjieva, Max Planck Institute for Brain Research, Frankfurt * Takyua Isomura, RIKEN Center for Brain Science * Renaud Jolivet, University of Geneva * Lubomir Kostal, Academy of Sciences of the Czech Republic * David Kappel, Georg-August University, Goettingen * Wiktor Mlynarski, Institute of Science and Technology Austria, Vienna * Adria Tauste, BarcelonaBeta Brain Research Center * Raoul Vicente, Institute of Computer Science, University of Tartu * Michael Wibral, Georg-August University, Goettingen Also, we would like to call for contributions of talks (25 min + 5 min Q&A). If you are interested in contributing such a talk, please send a title and abstract to Lubomir Kostal (kostal at biomed.cas.cz) by Friday May 31, 2019. Earlier submissions will be prioritised. Please see our website (http://www.biomed.cas.cz/~kostal/CNS2019-ITW/) for more details. We hope you will join us there! Lubomir Kostal Joseph Lizier Viola Priesemann Justin Dauwels Taro Toyoizumi Michael Wibral Adria Tauste -------------------------------------------- Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of CAS. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of CAS. From mklados at gmail.com Mon May 13 03:28:42 2019 From: mklados at gmail.com (Manousos Klados) Date: Mon, 13 May 2019 08:28:42 +0100 Subject: Connectionists: Fully Funded PhD Studentship at Aston University (UK) Message-ID: The Department of Biomedical Engineering of Aston University ( www.aston.ac.uk) has announced one PhD studentship in the area of applied neuroscience. The prospective candidates should apply using this link ? https://jobs.aston.ac.uk/Vacancy.aspx?ref=R190084 the latest on *31/5/2019* This PhD studentship is under the European funded project HOPE. The main aim of HOPE is to study the non-invasive techniques like EEG and MEG in the pre-surgical evaluation of children with medical resistant epilepsy and the accurate localization of the Seizure Onset Zone. Basic Skills: ? BSc/BEng in STEM or Psychology. (The psychology graduates should prove their experience working with EEG and MATLAB) ? MSc/MEng in relevant field ? Programming in MATLAB environment ? English language (find more information here ? https://www2.aston.ac.uk/lhs/research/postgraduate-research) Desired Skills: ? Digital Signal Processing ? Basic understanding of Machine Learning algorithms ? EEG Signal Processing ? Programming in Python For further information you can come in touch with the co-ordinator of the HOPE project, Dr. Manousos Klados (m.klados at aston.ac.uk) -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.communication at fz-juelich.de Mon May 13 08:23:41 2019 From: bernstein.communication at fz-juelich.de (Bernstein Communication) Date: Mon, 13 May 2019 14:23:41 +0200 Subject: Connectionists: Bernstein Conference 2019 in Berlin: Call for Abstracts Message-ID: <94f920b1-9a93-b686-ece5-dcf12570005c@fz-juelich.de> BERNSTEIN CONFERENCE 2019 in Berlin - Abstract submission and registration now open! Early bird registration deadline: July 09, 2019 Please register here: intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=1969&language=1&Entry=9 The Bernstein Conference is the largest annual Computational Neuroscience conference in Europe with more than 500 international participants in recent years. The main conference includes two poster sessions, which are an important part of the conference. For more information on the conference, please visit: bernstein-conference.de ************************************************************** Satellite Workshops September 17-18, 2019 Main Conference September 18-20, 2019 PhD Symposium September 20-21, 2019 ************************************************************** ABSTRACT SUBMISSION We are inviting the submission of abstracts from all relevant areas. Authors of most accepted abstracts will get the chance for a poster presentation, a small number of abstracts will be selected for contributed talks during the main conference. Please note the earlier submission deadline for authors applying for a talk. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). For abstract submission please visit: bernstein-conference.de/2019/abstracts Submission of an abstract does not replace conference registration (intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=1969&language=1&Entry=9). ABSTRACT SUBMISSION DEADLINES: Abstracts aimed as contributed talks and posters: June 13, 2019 Abstracts aimed as posters only: July 03, 2019 SELECTION OF CONTRIBUTED TALKS: The contributed talks will be selected in a (double-)blind review process. Please design your abstract accordingly and ensure that no author or affiliation identifiers are included. Cite all relevant prior work (including your own) only in the passive voice or in the third person (for example, ?It has been shown that? [1]? or "They have shown that... [1]?), do not use the words ?my? or ?our?, and do not include references to funding sources. Abstracts that have not been properly anonymized cannot be considered for contributed talks. TRAVEL GRANTS: To support the participation of young researchers in the Bernstein Conference, the Bernstein Coordination Site (BCOS) offers 10 Travel Grants, each endowed with 500 ?. Application deadline for travel grants: June 21, 2019 Please find further information under bernstein-conference.de/2019/apply-for-a-travel-grant ACCOMMODATION AND HOTEL RESERVATION: We have allcocated a certain number of rooms for you in selected hotels and we are cooperating with VisitBerlin, Berlin's tourist platform through which we are able to offer a customized hotel room booking platform. Conference participants can choose between different hotel categories. We strongly recommend early room booking! Please find further information under bernstein-conference.de/2019/hotels POSTDOC MEETING, Sept 17, 7:00 pm: This event is an informal get-together for post-docs. It is an opportunity to get to know each other, foster collaborations, exchange experiences and ideas. No preparation required, but if you have an idea or a particular topic you want to discuss with your peers, bring it along. Drinks and snacks will be provided. VENUE SATELLITE WORKSHOPS and POSTDOC MEETING Marchstrasse 23 10587 Berlin (10 min. walk from the Technische Universit?t Berlin (TU Berlin) Main Building) VENUE MAIN CONFERENCE: Technische Universit?t Berlin (TU Berlin) Main Building Strasse des 17. Juni 135 10623 Berlin VENUE PHD SYMPOSIUM: Bernstein Center Berlin Campus Nord Philippstrasse 13 House 6 10115 Berlin We are looking forward to welcoming you in Berlin! Conference Chair and Host: Henning Sprekeler Program Chair: Susanne Schreiber Program Vice Chair: Elad Schneidman Workshop Chair: Tatjana Tchumatchenko Workshop Vice Chair: Tim Vogels Technical Organization: Bernstein Coordination Site (BCOS) ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ From mlsp at neuro.kuleuven.be Mon May 13 10:54:40 2019 From: mlsp at neuro.kuleuven.be (2019 IEEE International Workshop on Machine Learning fo Signal Processing) Date: Mon, 13 May 2019 16:54:40 +0200 Subject: Connectionists: Call for papers - MLSP2019 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING Message-ID: <73153cd2-4ce9-ba14-6226-62d82e832c83@neuro.kuleuven.be> MLSP2019 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING OCTOBER 13-16, 2019 Pittsburgh, PA, USA www.ieeemlsp.cc FINAL CALL FOR PAPERS The 29th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, as well as special and regular single-track sessions. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: - Learning theory and modeling - Neural networks and deep learning - Bayesian Learning and modeling - Sequential learning; sequential decision methods - Information-theoretic learning - Graphical and kernel models - Bounds on performance - Source separation and independent component analysis - Signal detection, pattern recognition and classification - Tensor and structured matrix methods - Machine learning for big data - Large scale learning - Dictionary learning, subspace and manifold learning - Semi-supervised and unsupervised learning - Active and reinforcement learning - Learning from multimodal data - Resource efficient machine learning - Cognitive information processing - Bioinformatics applications - Biomedical applications and neural engineering - Speech and audio processing applications - Image and video processing applications - Intelligent multimedia and web processing - Communications applications - Other applications including social networks, games, smart grid, security and privacy DATA ANALYSIS AND SIGNAL PROCESSING COMPETITION MLSP 2019 Data Analysis and Signal Processing Competition is being organized in conjuction with the workshop. The goal of competition is to advance the current state-of-the-art in theoretical and practical aspects of machine learning and signal processing domains. PAPER SUBMISSION Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure at https://www.ieeemlsp.cc. The presented papers will be published in and indexed by IEEE Xplore. IMPORTANT DATES AND DEADLINES: Paper submission deadline June 5, 2019 Decision notification July 30, 2019 Camera-ready papers and Author advance registration August 23, 2019 ORGANIZING COMMITTEE: General Chair: Murat Akcakaya, University of Pittsburgh, USA Program Chairs: Sarah Ostadabbas, Northeastern University, USA Osman Yagan, Carnegie Mellon University, USA Yuejie Chi, Carnegie Mellon University, USA Finance Chair: Zhi-Hong Mao, University of Pittsburgh, USA Data Competition Chairs: Vince Calhoun, University of New Mexico, USA Rogers Silva, University of New Mexico, USA Yuhui Du, University of New Mexico, USA Publicity and Social Media Chairs: Marc Van Hulle, KU Leuven, Belgium Ervin Sejdic, University of Pittsburgh, Pittsburgh, PA, USA Advisory Committee: Raviv Raich, Oregon State University, USA Deniz Erdogmus, Northeastern University, Boston, MA, USA Zheng-Hua Tan, Aalborg University, Aalborg, Denmark IEEE Signal Processing Society Liaison Ulisses Braga-Neto, Texas A&M University, College Station, TX, USA From mlsp at NEURO.KULEUVEN.BE Mon May 13 10:54:40 2019 From: mlsp at NEURO.KULEUVEN.BE (2019 IEEE International Workshop on Machine Learning fo Signal Processing) Date: Mon, 13 May 2019 16:54:40 +0200 Subject: Connectionists: Call for papers - MLSP2019 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING Message-ID: <73153cd2-4ce9-ba14-6226-62d82e832c83@neuro.kuleuven.be> MLSP2019 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING OCTOBER 13-16, 2019 Pittsburgh, PA, USA www.ieeemlsp.cc FINAL CALL FOR PAPERS The 29th MLSP workshop in the series of workshops organized by the IEEE Signal Processing Society MLSP Technical Committee will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, as well as special and regular single-track sessions. Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to: - Learning theory and modeling - Neural networks and deep learning - Bayesian Learning and modeling - Sequential learning; sequential decision methods - Information-theoretic learning - Graphical and kernel models - Bounds on performance - Source separation and independent component analysis - Signal detection, pattern recognition and classification - Tensor and structured matrix methods - Machine learning for big data - Large scale learning - Dictionary learning, subspace and manifold learning - Semi-supervised and unsupervised learning - Active and reinforcement learning - Learning from multimodal data - Resource efficient machine learning - Cognitive information processing - Bioinformatics applications - Biomedical applications and neural engineering - Speech and audio processing applications - Image and video processing applications - Intelligent multimedia and web processing - Communications applications - Other applications including social networks, games, smart grid, security and privacy DATA ANALYSIS AND SIGNAL PROCESSING COMPETITION MLSP 2019 Data Analysis and Signal Processing Competition is being organized in conjuction with the workshop. The goal of competition is to advance the current state-of-the-art in theoretical and practical aspects of machine learning and signal processing domains. PAPER SUBMISSION Prospective authors are invited to submit a double column paper of up to six pages using the electronic submission procedure at https://www.ieeemlsp.cc. The presented papers will be published in and indexed by IEEE Xplore. IMPORTANT DATES AND DEADLINES: Paper submission deadline June 5, 2019 Decision notification July 30, 2019 Camera-ready papers and Author advance registration August 23, 2019 ORGANIZING COMMITTEE: General Chair: Murat Akcakaya, University of Pittsburgh, USA Program Chairs: Sarah Ostadabbas, Northeastern University, USA Osman Yagan, Carnegie Mellon University, USA Yuejie Chi, Carnegie Mellon University, USA Finance Chair: Zhi-Hong Mao, University of Pittsburgh, USA Data Competition Chairs: Vince Calhoun, University of New Mexico, USA Rogers Silva, University of New Mexico, USA Yuhui Du, University of New Mexico, USA Publicity and Social Media Chairs: Marc Van Hulle, KU Leuven, Belgium Ervin Sejdic, University of Pittsburgh, Pittsburgh, PA, USA Advisory Committee: Raviv Raich, Oregon State University, USA Deniz Erdogmus, Northeastern University, Boston, MA, USA Zheng-Hua Tan, Aalborg University, Aalborg, Denmark IEEE Signal Processing Society Liaison Ulisses Braga-Neto, Texas A&M University, College Station, TX, USA From behrmann at cmu.edu Mon May 13 17:34:22 2019 From: behrmann at cmu.edu (Marlene Behrmann) Date: Mon, 13 May 2019 17:34:22 -0400 Subject: Connectionists: Postdoctoral position jointly in Behrmann/Grover labs at CMU Message-ID: <5338657d-d899-6b3a-a7c3-bb629e1ae28b@cmu.edu> Postdoctoral position jointly in Behrmann/Grover labs CMU in understanding neural mechanisms through noninvasive brain monitoring A postdoc position on utilizing noninvasive measurement modalities is available in the labs of Marlene Behrmann and Pulkit Grover at Carnegie Mellon University (Pittsburgh, PA). The team's goal is to utilize existing and novel engineering and mathematical tools to understand neural mechanisms in healthy and diseased states through EEG measurements, possibly complemented by fMRI. The role of the postdoc will be to lead experimental testing, simulations, and data analysis. The postdoc will collaborate with information theorists, neuroscientists, experimentalists, and clinicians. This is an opportunity to work on challenging and applicable scientific problems in a highly interdisciplinary and vibrant environment. Requirements?: PhD in a related discipline (Engineering, Computer Science, Neuroscience, or Biomedical Engineering) with a strong experimental and computational record. Background in EEG recordings is required. The labs are committed to the professional development of the members, making this position a valuable preparation for those interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties. The ideal start date is July 2019, but early applications will also be accepted. The position is initially for 12 months with the possibility of renewal. Compensation will be competitive, and commensurate with relevant experience. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to behrmann at cmu.edu and ?pulkit at cmu.edu with the subject line ?neural monitoring postdoc?. Application review will proceed until the position is filled. -- Marlene Behrmann, Ph.D Thomas S. Baker University Professor of Cognitive Neuroscience Carnegie Mellon University, Pittsburgh PA Member, National Academy of Sciences Member, American Academy of Arts and Sciences https://orcid.org/0000-0002-3814-1015 -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Mon May 13 23:17:13 2019 From: terry at salk.edu (Terry Sejnowski) Date: Mon, 13 May 2019 20:17:13 -0700 Subject: Connectionists: NEURAL COMPUTATION - May 1, 2019 In-Reply-To: Message-ID: Neural Computation - Volume 31, Number 5 - May 1, 2019 Available online for download now: http://www.mitpressjournals.org/toc/neco/31/5 http://cognet.mit.edu/content/neural-computation ----- Article Information Geometry for Regularized Optimal Transport and Barycenters of Patterns Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi, and Marco Cuturi Letters Vector-derived Transformation Binding: An Improved Binding Operation for Deep Symbol-like Processing in Neural Networks Jan Gosmannc, Chris Eliasmith Inhibition and Excitation Shape Activity Selection: Effect of Oscillations in a Decision-making Circuit Thomas Bose, Andreagiovanni Reina, and James A. R. Marshall Brain Morphometry Methods for Feature Extraction in Random Subspace Ensemble Neural Network Classification of First-Episode Schizophrenia Roman Vyskovsky, Daniel Schwarz, and Tomas Kasparek Semi-supervised Deep Stacking Network With Adaptive Learning Rate Strategy for Motor Imagery EEG Recognition Xianlun Tang, WeiChang Ma, DeSong Kong, and Wei Li Multiple Time-scale Online Learning Rules for Information Maximization With Energetic Constraints Peng Yi, ShiNung Ching Introducing User-prescribed Constraints in Markov Chains for Nonlinear Dimensionality Reduction Purushottam Dixit Sparse Associative Memory Heiko Hoffmann ------------ 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 J.Verhoef at donders.ru.nl Tue May 14 06:44:54 2019 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Tue, 14 May 2019 10:44:54 +0000 Subject: Connectionists: Three Positions in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Message-ID: <10102764167e49f9b080a6c9e36c36cb@EXPRD05.hosting.ru.nl> Three Positions in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Dutch Research Consortium 'Language in Interaction' Vacancy number: 30.06.19 Application deadline: 28 May 2019 [Logo NWO] [Logo Language in Interaction] Responsibilities We are looking for highly motivated candidates to enrich a unique consortium of researchers that aims to cross the boundaries of various disciplines to unravel the neurocognitive mechanisms of language and its interaction with other cognitive systems. This specific project aims to advance our understanding of the mechanisms of fast, flexible linguistic inference by leveraging recent major advances in our understanding of the representations and computations necessary for sequential model-based action planning. Currently, our consortium advertises 2 Postdoc positions and 1 PhD position. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, sponsored by a large grant from the Netherlands Organisation 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 realises 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 organisation 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: Inference for language and action planning: Common computations? 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. What we expect from you Each position has its own requirements and profile. More information on: www.languageininteraction.nl/BQ5-3p.html General requirements for all positions are: * a degree in linguistics, psychology, cognitive neuroscience, computer science or a related field; * affinity with quantitative analyses; * strong motivation; * excellent proficiency in written and spoken English. What we have to offer * employment: 1.0 FTE; * terms of employment depend on the position applied for; * you will be appointed at the Donders Institute for Brain, Cognition and Behaviour, Radboud University; * Dutch universities and the institute involved have a number of regulations in place that enable employees to create a good work-life balance; * you will be able to make use of our Dual Career Service where our Dual Career Officer will assist with family related support, such as child care, and help your partner prepare for the local labour market and with finding an occupation. Are you interested in our excellent employment conditions? Other Information The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Would you like to know more? Further information on: the Language in Interaction Consortium Further information on: the different positions, including terms of employment Further information on: our five Big Questions For more information about this vacancy, please contact: additional information can be obtained from the contacts for the different positions. Are you interested? You should upload your application (attn. of Prof. dr. R. Cools) exclusively using the button 'Apply' below. Your application should include (and be limited to) the following attachment(s): * a cover letter quoting at the top the number of the position you apply for * your curriculum vitae, including a list of publications and the names of at least two people who can provide references Please apply before 28 May 2019, 23:59 Amsterdam Time Zone. [Apply] No commercial propositions please. 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.nl|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: 2461 bytes Desc: image001.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image002.jpg Type: image/jpeg Size: 40202 bytes Desc: image002.jpg URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image003.jpg Type: image/jpeg Size: 3660 bytes Desc: image003.jpg URL: From malin.sandstrom at incf.org Tue May 14 08:47:13 2019 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Tue, 14 May 2019 14:47:13 +0200 Subject: Connectionists: INCF Software Carpentry course at SfN, October 17-18 Message-ID: Dear all, INCF will organize a Software Carpentry course ( https://incf.github.io/2019-10-17-sfn/) at SfN in Chicago, on October 17-18. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. For more information on what will be taught and why, please see the paper ?Best Practices for Scientific Computing?; https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745 Apply via the form linked on this page, latest *May 31*: https://www.incf.org/node/305 Best regards, Malin Sandstr?m -- Malin Sandstr?m, PhD Community Engagement Officer malin.sandstrom at incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels v?g 15 A SE-171 77 Stockholm Sweden http://www.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From stolu at elektro.dtu.dk Wed May 15 07:39:15 2019 From: stolu at elektro.dtu.dk (Silvia Tolu) Date: Wed, 15 May 2019 11:39:15 +0000 Subject: Connectionists: PostDoc or research assistant for 9 months in Robotics at Technical University of Denmark Message-ID: <90aefac0e6634455867d08d917b89afd@elektro.dtu.dk> Post-Doctoral fellow or Research Assistant in Neuro-robotics A nine-months post-doctoral fellowship or research assistantship is available at the Department of Electrical Engineering at the Technical University of Denmark. The position is in the research field of neuro-robotics, where neuroscience and robotics intersect. The candidate will be part of a team that is already involved in the framework of the EU Flagship Project ?Human Brain Project? (HBP). The position addresses research in neural computation for robotics systems. Responsibilities and tasks The purpose of the research assistant position is to explore new algorithms for real-time motor control and motor learning of compliant robotic systems, mimicking brain computations and connections. The focus will be on the design, programming and validation of different types of bio-inspired architectures for adaptive control. The main objective is to implement an architecture, which is capable to adapt to different robot system dynamics. The successful candidate will explore the use of bio-inspired neural networks to control virtual robots in the Neuro-Robotics Platform (NRP, https://neurorobotics.net) built within the Human Brain Project subproject 10 ?Neuro-robotics? and to transfer the results on a real robot. In the position, there will be a focus on creating such real-time demonstrators. Qualifications Candidates should hold a MSc in electrical engineering or related field. The candidate is required to have expertise about robotics applications (hw and/or sw). Knowledge in either artificial intelligence methods, computational neuroscience, neuromorphic programming, or the neuro-robotic platform of the Human Brain Project is an advantage. We offer DTU is a leading technical university globally recognised for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterised by collegial respect and an academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. The period of employment is nine months with the possibility of extension. Further information Further information may be obtained from Assistant Professor Silvia Tolu, stolu at elektro.dtu.dk. You can read more about DTU Electrical Engineering on www.elektro.dtu.dk. Application procedure Please e-mail your application no later than 1st June 2019. Applications must be submitted as one PDF file containing all materials to be given consideration. The file must include: ? Application (cover letter) ? CV ? Diploma (MSc) Applications and enclosures received after the deadline will not be considered. All qualified candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. The Automation and Control group performs research and teaching in automation technology, control theory and robotics at DTU. The group has about 35 affiliated researchers and other employees. Please read more about the Automation and Control group on www.aut.elektro.dtu.dk. The Department of Electrical Engineering is the central department at the Technical University of Denmark within electrical and biomedical engineering. Including PhD students we have a total of 270 staff members. It is our goal to ensure research and engineering training at the highest international level. The department is organised into seven sections and a number of cross professional centres. Please read more about the Department of Electrical Engineering on www.elektro.dtu.dk. DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 11,000 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies. Best regards / Med Venlig Hilsen, Silvia Tolu Assistant Professor, PhD Researcher in Bio-Inspired Robotics Automation and Control Group Department of Electrical Engineering Technical University of Denmark ------------------------------------ Richard Petersens Plads Building 326, room 110 2800 Kgs. Lyngby Direct +45 45253928 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PostDoc_Research_Assistant_in_BioRobotics3.pdf Type: application/pdf Size: 80954 bytes Desc: PostDoc_Research_Assistant_in_BioRobotics3.pdf URL: From kristin.tondel at nmbu.no Wed May 15 07:34:43 2019 From: kristin.tondel at nmbu.no (=?iso-8859-1?Q?Kristin_T=F8ndel?=) Date: Wed, 15 May 2019 11:34:43 +0000 Subject: Connectionists: PhD scholarship within Data Science and Computational Neuroscience at the Norwegian University of Life Sciences (NMBU) In-Reply-To: <2d930bd78b1d47c189cb30d2a60cb9c3@EXCH-MBX03.NMBU.NO> References: <2d930bd78b1d47c189cb30d2a60cb9c3@EXCH-MBX03.NMBU.NO> Message-ID: The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD-position related to Data Science and Computational Neuroscience: https://www.jobbnorge.no/en/available-jobs/job/168816/phd-scholarship-within-data-science-and-computational-neuroscience Please share with your network. Best regards, Kristin T?ndel -------------- next part -------------- An HTML attachment was scrubbed... URL: From songx at ohsu.edu Wed May 15 12:39:56 2019 From: songx at ohsu.edu (Xubo Song) Date: Wed, 15 May 2019 16:39:56 +0000 Subject: Connectionists: PhD Positions in Machine Learning and Image Analysis at OHSU Message-ID: <58A9827E-5389-47CD-AE8A-C47EAFB951DF@contoso.com> Three PhD trainee positions are available at Oregon Health and Science University, funded by NIH, private foundations and philanthropy (including $1 billion raised for the Knight Cancer Institute). The PhD students can choose to obtain degrees in Biomedical Engineering (BME) or Computer Science and Electrical Engineering (CSEE). You will work closely with the growing Biomedical Imaging Computing Group that currently include Drs. Xubo Song, Young Hwan Chang and Guillaume Thibault, as well as prominent cancer researchers such as Drs. Joe Gray and Gordon Mills. The positions are open immediately and students can start as early as fall of 2019. Machine learning and deep learning are changing how biomedical research is conducted and how patients are diagnosed and treated. Computational image analysis leverages large-scale machine learning on high performance computing infrastructure to transform qualitative science to quantitative science. We develop algorithms which are used by biomedical researchers and physicians in the clinic. First and foremost, you will be trained to become a machine learning scientist (most of our graduates work in high-tech companies such as Microsoft, Nvidia, Intel, Apple etc.). Furthermore, you will work in an exciting interdisciplinary environment with the potential to directly impact medical research, cancer care and patients? lives, such as the SMMART clinical trials. You Will: * Work and collaborate with a diverse team of machine learning experts, imaging scientists, cancer biologists, radiologists and medical doctors to build a new generation of artificial intelligence in cancer research, detection and treatment. * Create algorithms and software in machine learning and deep learning for quantitative image analysis that enable discoveries in biomedicine and the evaluation of biological variation in diseases such as cancer. The tasks may include image registration, segmentation, characterization, quantification, and analysis. The imaging modalities may include electron microscopy, cyclic immunofluorescence, MRI and CT. * Leverage the unique opportunity within the field of computer vision and cancer research provided by the massive amount of image data at OHSU for conventional and unconventional modeling with clinical and biomedical relevance, such as (semi-)supervised, weakly supervised and unsupervised machine learning methods. * Have the opportunity to leverage modern computing clusters with hundreds of GPU?s and large cluster of DGX nodes. Required Skills: * Bachelor?s or Master?s Degree in Computer Science, Electrical Engineering, Biomedical Engineering, Math, Physics, or other engineering and science field. * Strong analytical and computing skills. * Proficiency in advanced programming languages such as Python, Matlab, C/C++ or Java. * Interest in machine learning & deep learning and their application in medicine. * Knowledge about cancer biology and microscopic imaging is a plus. OSHU is located in Portland, Oregon, in the Pacific Northwest. It is in close proximity of the ?Silicon Forest? that consists of many high-tech companies. Portland boasts a thriving biotech scene with many biomedical companies, and is known for its mild climate, natural beauty, access to outdoors, and quality of living. Please send your CV to songx at oshu.edu. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Tanuj.Gulati at csmc.edu Wed May 15 13:26:39 2019 From: Tanuj.Gulati at csmc.edu (Gulati, Tanuj) Date: Wed, 15 May 2019 17:26:39 +0000 Subject: Connectionists: Postdoc in motor systems and data analyses Message-ID: <40E5B52D-AB4E-4C41-B823-2EF70742A76D@csmc.edu> Postdoctoral fellow Position We are looking for a postdoctoral fellow to the study the neural basis of motor skill learning in a NIH funded study. We are a systems neuroscience laboratory (Lab Website: www.gulatilab.org ) that is part of Cedars-Sinai?s Center for Neural Science and Medicine. The lab is using systems neuroscience and neural engineering methods to understand the processes of motor skill consolidation in the brain, and also developing novel neurotechnology based on closed-loop electric stimulation, and brain-machine interfaces. Our recent work showed sleep-reactivation of learning-related activity while rats learned neuroprosthetic motor skill (Gulati et al, Nature Neuroscience 2014; 2017). Another line of research showed emergence of low-frequency oscillatory (LFO) activity in primary motor cortex (M1) with motor skill consolidation, that also tracked recovery after M1 stroke (Ramanathan*, Guo*, Gulati* et al, Nature Medicine 2018, *equally-contributing authors). This work also showed that boosting the weakened LFO activity after stroke injury using closed-loop electrical stimulation in the rodent model promoted motor performance. This completed work looked at M1, but next aim is to study emergence of learning related activity across distributed motor networks (M1, striatum, cerebellum, motor thalamus) - both during awake and sleep states. Immediate goals are to record jointly from M1 and cerebellum. We plan to do this in intact as well as stroke-injured rodents to identify targets for electrical stimulation. The postdoctoral fellow will use state-of-the-art systems neuroscience approaches to address these questions. Candidate will be expected to perform multi-site recordings in intact rodents, as well as stroke-injured rodent models. They will also be responsible for data analyses, and preparing manuscripts. Candidates will have opportunities to mentor junior trainees (interns/ graduate students). Salary will follow NIH guidelines and is negotiable. Requirements: Applicants are expected to have a PhD in Bioengineering/ Systems Neuroscience or a related discipline. Experience in one of more of the following: data analyses and programming (Matlab/ Python)/ animal training/ experimental neurophysiology - is needed. Candidates with strong experience in computational analyses but limited experimental experience will also be considered. Application Instructions: Interested applicants should email: tanuj.gulati at csmc.edu with their CV, a description of their research interests, as well as contact information for 2-3 references. ___________________________________ Tanuj Gulati, PhD Assistant Professor | Departments of Biomedical Sciences and Neurology Research Scientist I | Center for Neural Science and Medicine (CNSM) Cedar's Bio Lab Website Cedars-Sinai Medical Center, 8700 Beverly Blvd, AHSP A9535, Los Angeles, CA 90048 ?: (424) 315?2657 | ?: (424) 315?2853 | ?: tanuj.gulati at csmc.edu IMPORTANT WARNING: This message is intended for the use of the person or entity to which it is addressed and may contain information that is privileged and confidential, the disclosure of which is governed by applicable law. If the reader of this message is not the intended recipient, or the employee or agent responsible for delivering it to the intended recipient, you are hereby notified that any dissemination, distribution or copying of this information is strictly prohibited. Thank you for your cooperation. -------------- next part -------------- An HTML attachment was scrubbed... URL: From stephan.chalup at newcastle.edu.au Wed May 15 18:50:22 2019 From: stephan.chalup at newcastle.edu.au (Stephan Chalup) Date: Wed, 15 May 2019 22:50:22 +0000 Subject: Connectionists: US-Australia MURI collaboration on Adaptive and Adversarial Machine Learning Message-ID: <1BF00B08-A071-4287-AE8F-08F60C2D616C@newcastle.edu.au> US-Australia MURI collaboration on Adaptive and Adversarial Machine Learning Dear Colleagues, Our team of Cognitive Science and Machine Learning experts at the University of Newcastle, Australia, led by Stephan Chalup, Scott Brown, and Ami Eidels, is looking to partner with U.S. collaborators pursuing MURI funding in the 2019 round, for a research project on Adaptive and Adversarial Machine Learning. AUSMURI is a $25 million investment program encouraging Australian universities to collaborate with universities in the United States and explore opportunities in designated topics. It complements the Multidisciplinary University Research Initiative (MURI) grant program administered by the US Department of Defence. The program will provide funding of up to $1 million per year, for three years, to support multidisciplinary teams from Australian universities to undertake research in Australia, working in collaboration with US academic colleagues on high priority projects for future Defence capabilities. The current project aims to augment machine learning capabilities by integrating principles from human cognition. The timeline for the proposal is very short: a short white paper is due June 4, 2019, and a full proposal (if invited) is due Sept 13, 2019. If you are interested in pursuing this project, please contact Stephan Chalup, Scott Brown, or Ami Eidels Stephan Chalup: stephan.chalup at newcastle.edu.au Scott Brown: scott.brown at newcastle.edu.au Ami Eidels: Ami.Eidels at newcastle.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From jochem.rieger at uol.de Thu May 16 07:23:53 2019 From: jochem.rieger at uol.de (jochem.rieger at uol.de) Date: Thu, 16 May 2019 13:23:53 +0200 Subject: Connectionists: Open PhD position, application deadline May 31st Message-ID: <73edc355-6d65-e302-40ca-09490e065a26@uni-oldenburg.de> Dear list, The Applied Neurocognitive Psychology Lab at the University Oldenburg in collaboration with the Division of Energy at OFFIS offer a PhD position in the project: "Neurophysiology and modelling of expert cognition and decision making? The projects goal is to develop a model-based understanding of neuronal processing differences between expert and novice controllers?of safety critical systems (e.g. power grids) that allows human performance prediction. Methodologically, the project combines brain activation measurements in fNIRS and/or MRI during?realistic simulations?of control tasks?with machine learning for data driven human modeling. The position is available *from July 16th, 2019* until July 15th, 2022 (German TV-L E13, 65%). The full job announcement can be found here: https://uol.de/stellen/?stelle=66622 You can contact me? for further questions regarding the position. The *application deadline is May 31st, 2019*. Please send your application including a cover letter, CV, a list of potential referees, links to recent publications, and copies of certificates for academic grades to Prof. Rieger as an email attachment (preferred) in one pdf file to jochem.rieger at uol.de . 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Thu May 16 10:40:48 2019 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Thu, 16 May 2019 16:40:48 +0200 Subject: Connectionists: AIMLAI-XKDD@ECMLPKDD19: Joint International Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence & eXplainable Knowledge Discovery in Data Mining Message-ID: AIMLAI-XKDD at ECMLPKDD19: Joint International Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence & eXplainable Knowledge Discovery in Data Mining Website: https://kdd.isti.cnr.it/xkdd2019/ Submission link: https://easychair.org/conferences/?conf=aimlai-xkdd-ecmlpkdd19 Submission deadline: June 7, 2019 The purpose of AIMLAI-XKDD (Advances in Interpretable Machine Learning and Artificial Intelligence & eXplainable Knowledge Discovery in Data Mining), is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining, machine learning, and artificial intelligence. AIMLAI-XKDD is an event organized into two moments: a tutorial to introduce audience to the topic, and a workshop to discuss recent advances in the research field. The tutorial will provide a broad overview of the state of the art and the major applications for explainable and transparent approaches. Likewise it will highlight the main open challenges. The workshop will seek top-quality submissions addressing uncovered important issues related to explainable and interpretable data mining and machine learning models. Papers should present research results in any of the topics of interest for the workshop as well as application experiences, tools and promising preliminary ideas. AIMLAI-XKDD asks for contributions from researchers, academia and industries, working on topics addressing these challenges primarily from a technical point of view, but also from a legal, ethical or sociological perspective. Besides the central topic of interpretable algorithms and explanation methods, we also welcome submissions that answer research questions like "how to measure and evaluate interpretability and explainability?" and "how to integrate humans in the machine learning pipeline for interpretability purposes?". Submission Guidelines Papers must be written in English and formatted according to the Springer Lecture Notes in Computer Science (LNCS) guidelines following the style of the main conference (format). The maximum length of either research or position papers is 12 pages in this format. Overlength papers will be rejected without review (papers with smaller page margins and font sizes than specified in the author instructions and set in the style files will also be treated as overlength). Authors who submit their work to AIMLAI-XKDD 2019 commit themselves to present their paper at the workshop in case of acceptance. AIMLAI-XKDD 2019 considers the author list submitted with the paper as final. No additions or deletions to this list may be made after paper submission, either during the review period, or in case of acceptance, at the final camera ready stage. Condition for inclusion in the post-proceedings is that at least one of the co-authors has presented the paper at the workshop. Pre-proceedings will be available online before the workshop. A special issue of a relevant international journal with extended versions of selected papers is under consideration. All papers for AIMLAI-XKDD 2019 must be submitted by using the on-line submission system athttps://easychair.org/conferences/?conf=aimlai-xkdd-ecmlpkdd19. Committees Tutorial Program Chairs * Riccardo Guidotti, KDD Lab, ISTI-CNR, Italy * Pasquale Minervini, University College London, UK * Anna Monreale, KDD Lab, University of Pisa, Italy * Salvatore Rinzivillo, KDD Lab, ISTI-CNR, Italy Workshop Program Chairs * Adrien Bibal, University of Namur, Belgium * Tassadit Bouadi, University of Rennes/IRISA, France * Beno?t Fr?nay, University of Namur, Belgium * Luis Gal?rraga, Inria/IRISA, France * Stefan Kramer, Universit?t Mainz, Germany * Ruggero G. Pensa, University of Turin, Italy Publication All accepted papers will be published as post-proceedings in LNCSI and included in the series name Lecture Notes in Computer Science by Springer. Venue The conference will be colocated with the conference ECML/PKDD, which will be held in the Hubland campus of the University of W?rzburg in Germany on September 20th, 2019. Contact All questions about submissions should be emailed to aimlai-xkdd-ecmlpkdd19 at easychair.org -- Beno?t FR?NAY Associate Professor Faculty of Computer Science T. +32 (0)81 724 976 (secr. 725 252) F. +32 (0)81 724 967 benoit.frenay at unamur.be Universit? de Namur ASBL Rue de Bruxelles 61 - 5000 Namur Let?s respect the environment together. Only print this message if necessary! -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpulina at uniss.it Fri May 17 02:17:29 2019 From: lpulina at uniss.it (Luca Pulina) Date: Fri, 17 May 2019 08:17:29 +0200 Subject: Connectionists: [Call for Papers] AIIA19 - The 18th International Conference of the Italian Association for Artificial Intelligence Message-ID: <09252210-e2a8-261d-9475-fc6631e04888@uniss.it> [apologies for any cross-posting] **************************************************************************************************************************************************************** Call for Papers AIIA19 - The 18th International Conference of the Italian Association for Artificial Intelligence UNICAL, Rende (CS), 19-22 November 2019 **************************************************************************************************************************************************************** ----------------------------------------------------------------- Topics of Interest ----------------------------------------------------------------- The conference covers broadly the many aspects of theoretical and applied Artificial Intelligence. A series of workshops dedicated to specific topics enhances the program. AIIA 2019 welcomes submissions covering all areas of AI, including (but not limited to) machine learning, search, planning, knowledge representation, reasoning, constraint satisfaction, natural language processing, robotics and perception, and multiagent systems. We encourage all types of high-quality contributions including theoretical, engineering and applied papers. We also encourage contributions on AI techniques in the context of novel application domains, such as security, sustainability, health care, transportation, and commerce. Besides regular original papers, in this edition we also welcome discussion papers containing descriptions of results recently published or accepted for the presentation in international conferences. Discussion papers are expected to be more broadly accessible than regular papers, they are an opportunity for the authors to present their recent results to the AI community, and a valuable addition for the attendees of AIIA 2019. At least one author of each accepted paper is required to register and attend the conference to present the work. ----------------------------------------------------------------- Important Dates ----------------------------------------------------------------- Abstract submission by 28 May 2019 Paper submission by 4 June 2019 Notification to authors by 23 July 2019 Camera-ready copies due by 3 September 2019 ----------------------------------------------------------------- Proceedings of Regular Papers ----------------------------------------------------------------- The regular papers will be included in the proceedings of the conference, and will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence series. Authors of selected regular papers accepted to the main track will be invited to submit an extended version for publication on "Intelligenza Artificiale", the International Journal of the Italian Association for Artificial Intelligence, edited by IOS Press and indexed by Thomson Reuters' "Emerging Sources Citation Index" and Scopus by Elsevier. ----------------------------------------------------------------- Proceedings of Discussion Papers ----------------------------------------------------------------- The discussion papers will not be included in the LNCS proceedings of the conference, and will be made available through the conference WEB-Site and possibly published on CEUR WS Proceedings upon request. ----------------------------------------------------------------- Best Papers ----------------------------------------------------------------- The Program Committee will select the Best Student Paper Award and the Best Paper Award from the accepted regular papers. In order to be eligible for the Best Student Paper award, at least one author must be a student. ----------------------------------------------------------------- Submission Instructions ----------------------------------------------------------------- The submitted papers should be written in English and formatted according to the Springer LNCS style. Regular papers must be original papers which are not being submitted simultaneously for publication elsewhere. These papers should not exceed 12 pages plus bibliography. The discussion papers report results already published or accepted for the publication in international conferences, and should not exceed 8 pages plus bibliography. Paper submission is electronic via easychair at the address: https://easychair.org/conferences/?conf=aiia2019 ----------------------------------------------------------------- Conference Web Site ----------------------------------------------------------------- For the most up to date information, please visit: https://aiia2019.mat.unical.it ----------------------------------------------------------------- Organizing Committee ----------------------------------------------------------------- Conference Chair: Nicola Leone (UNICAL, Italy) Program Chairs: Mario Alviano (UNICAL, Italy) Gianluigi Greco (UNICAL, Italy) Francesco Scarcello (UNICAL, Italy) Organization Chairs: Francesco Ricca (UNICAL, Italy) Chiara Ghidini (FBK, Trento) Workshop and Tutorial Chair: Rafael Penaloza (UNIMIB, Italy) Doctoral Consortium Chair: Marco Maratea (UNIGE, Italy) Publicity and Web Chair: Luca Pulina (UNISS, Italy) -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From michael.felsberg at liu.se Fri May 17 03:13:01 2019 From: michael.felsberg at liu.se (Michael Felsberg) Date: Fri, 17 May 2019 07:13:01 +0000 Subject: Connectionists: Research fellow position (tenure track) at the Computer Vision Laboratory, Linkoping University, Sweden Message-ID: <83241_1558077547_x4H7J49Y084795_HE1P191MB0010824FB340AE626B68DECCF50B0@HE1P191MB0010.EURP191.PROD.OUTLOOK.COM> The Computer Vision Laboratory at Linkoping University advertises a research fellow position (tenure track) in Computer Vision. The research focus will be on mathematics and algorithms for 3D computer vision. For further details and applying (deadline: July 8), see https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=11236&rmlang=UK Looking forward to your applications! Best regards Michael Felsberg -- Professor Michael Felsberg?????????????? Tel: +46 13 282460 Computer Vision Laboratory???????????? Mobile: +46 702 202460 Linkoping University??????????????????????????? email: michael.felsberg at liu.se SE-581 83 Linkoping, Sweden??????????? http://users.isy.liu.se/cvl/mfe/ From jimtoer at ifi.uio.no Sat May 18 08:13:23 2019 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Sat, 18 May 2019 12:13:23 +0000 Subject: Connectionists: Two Postdoc Fellowships in Machine Learning for Mental Health Care Technology, University of Oslo, Norway Message-ID: [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to potential candidates who might be interested.] Two Postdoc Fellowship in Machine Learning for Mental Health Care Technology (2 years each) in Department of Informatics, University of Oslo, Norway The goal of the Postdoc projects is toother on-body sensors that are relevant for capturing and classifying human behavior. This is with the goal of providing the user with the right interventions at the right time. It is a part of the Research Council of Norway funded project INtroducing personalized TReatment Of Mental health problems using Adaptive Technology (INTROMAT, see www.intromat.no). The project ? led by Haukeland University Hospital, aims at developing technology that can analyse the user's voice, movement and other properties, and use that for modeling and predicting how these changes with the mental condition. Smartphone and wearables are relevant for data collection, and the system should provide the user with appropriate support and follow up schemes. The fellowships will be for a period of two years. The candidate will collaborate with a number of national partners in the project. The University of Oslo is Norway?s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Qualifications: Applicants must have a PhD or other corresponding education equivalent to a Norwegian doctoral degree in computer science including machine learning/artificial intelligence (other degrees would be considered if qualifications match). Thus, applicants should have a strong background in programming and machine learning/artificial intelligence. Moreover, knowledge in the fields of human behaviour tracking and analysis, sensor data analysis, biology-inspired techniques, behavior modeling, and app development would be an advantage. A number of partners are involved in the project so collaboration skills would also be assessed. Pay grade (depending on qualifications and seniority): Postdoc: NOK 515 2000 ? 597 400 per year, approx.: ?52,500 ? 61,000 / $59,200 ? 68,700 Full announcement: https://www.jobbnorge.no/en/available-jobs/job/170078/postdoctoral-research-fellow-in-machine-learning-for-mental-health-care-technology Closing date for applications: 28th May, 2019 Applications are to be submitted through a web page and NOT by e-mail. Contact for more information: Prof. Jim Torresen E-mail: jimtoer at ifi.uio.no -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Fri May 17 08:30:26 2019 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Fri, 17 May 2019 15:30:26 +0300 Subject: Connectionists: Invitation for the 2019 Short course on Autonomous Systems (self-driving cars), 26-27th August 2019, Aristotle University of Thessaloniki, Greece Message-ID: <01a601d50cac$4eed9940$ecc8cbc0$@csd.auth.gr> Dear Autonomous Systems (cars) engineers, scientists and enthousiasts, you are welcomed to register in the short course on Autonomous Systems having focus on autonomous/self-driving cars. It will take place on 26-27/8/2019 at the Aristotle University of Thessaloniki, Thessaloniki, Greece. The short course consists of 16 1-hour lectures organized two parts (one per day): Part A lectures provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Motion estimation, Mapping and Localization.) They also provide an overview of the State-of-the-Art on autonomous car vision and real-time road infrastructure monitoring. Part B lectures provide an in-depth view of machine learning related topics (Introduction to neural networks, Multilayer NNs/backpropagation, Deep neural networks, Convolution NNs, Deep learning for target detection). They will also cover Deep NN computation optimization schemes based on parallel architectures, GPU programming, and fast convolution algorithms. Furthermore, deep learning for 2D target (e.g., car, pedestrian) detection, tracking and 3D target localization will be detailed. Finally, additional topics related to autonomous car technologies, mainly focusing on car vision will be presented, involving road scene understanding and 3D road modeling. You can use the following link for course registration: http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/ For questions, please contact: Ioanna Koroni > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). Dr. R. Fan, Hong Kong University of Science and Technology (HKUST) will overview work on self-driving cars, while also presenting progress in the HKUST autonomous vehicle project. Thessaloniki is a very pleasant city at the end of August, with vibrant night-life, very close to world class resorts in Chalkidiki peninsula. Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally and its campus is at the city center. Course participants may also want to register (if so desired) in a second back2back programming short course and hands-on workshop on Autonomous Systems/Drones (28-30th August 2019) that will be announced separately and will be open for registration very soon: http://icarus.csd.auth.gr/drone-school-2019/ offering a mix of lectures and programming workshops (hands-on lab exercises) and aiming at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on drone planning/control and imaging. Relevant links: 1. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el 2. H2020 project Multidrone: https://multidrone.eu/ Course description Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Introduction in computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Motion estimation 6. Mapping and localization 7. Introduction to autonomous car vision 8. Real-time road infrastructure monitoring Part B (8 hours) Deep learning topic list 1. Introduction to neural networks. Perceptron, backpropagation 2. Deep neural networks. Convolutional NNs 3. Parallel GPU and multicore CPU architectures. GPU programming 4. Fast convolution algorithms 5. Deep learning for target detection 6. 2D Target tracking and 3D target localization 7. Road scene understanding 8. 3D road surface modelling Sincerely yours Prof. I. Pitas Short course organizer Virus-free. www.avast.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From satabdicu at gmail.com Fri May 17 06:29:29 2019 From: satabdicu at gmail.com (Satabdi Ghosh) Date: Fri, 17 May 2019 15:59:29 +0530 Subject: Connectionists: Interested in International Conference on Cognitive Neuroscience/ Pediatric Obesity/ Pediatric Psychology in 2020 Message-ID: I am a Post-Doctoral Fellow at Indian Statistical Institute, working on cognitive development of school children in relation to obesity. I am interested in attending international conference in 2020 (within 31st March 2020). I would like to attend the conferences will be held at USA or UK. If anyone has the information regarding this please let me know. With regards, *Dr. Satabdi Ghosh* *National Post Doctoral Fellow* Center for Soft Computing Research Indian Statistical Institute 203 Barrackpore Trunk Road, Kolkata, West Bengal-700108 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sat May 18 08:44:59 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sat, 18 May 2019 12:44:59 +0000 Subject: Connectionists: SBP-BRiMS 2019 -- Deadline Extended for Working Papers, Challenge Problems, Doctoral Consortium ... In-Reply-To: References: , , , , , , , , Message-ID: Apologies if you receive multiple copies SBP-BRiMS 2019 2019 International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation July 9-12, 2019, Lehman Auditorium, George Washington University, Washington DC, US http://sbp-brims.org/ #sbpbrims CALL FOR Contributions -- Deadline Extended !!! Important Dates: Working Paper Submission: 17-May-2019 24-May-2019 Doctoral Consortium Submission due: 17-May-2019 24-May-2019 Demo Submission: 17-May-2019 24-May-2019 Challenge Response Submission: 17-May-2019 24-May-2019 SBP-BRiMS is an interdisciplinary computational social science conference focused on both modeling complex socio-technical systems and using computational techniques to reason about and study complex socio-technical systems. The participants in this conference take part in forming the conversation on how computation is shaping the modern world and helping us to better understand and reason about human behavior. Both papers addressing basic research and those addressing applied research are accepted. All methodological approaches are encouraged; however, the vast majority of papers use computer simulation, network analysis or machine learning as the method of choice in addressing human social and behavioral activities. At the conference, these paper presentations are complemented by data science challenge problems, demonstrations of new technologies, and a government funding panel. Submissions are solicited on research issues, methodologies, theories, and applications. Topics of interests include but are not limited to the following: Advances in Sociocultural & Behavioral Process Modeling * Group formation, interaction, and/or evolution * Collective action and governance * Information, belief, technology of disease diffusion * Public opinion representation, identification and modeling * Information diffusion * Psycho-cultural situation awareness * Intelligent agents and avatars/adversarial modeling * Models of reasoning and decision making * Performance prediction, assessment, & skill monitoring/tracking * Intelligent tutoring systems * Cognitive robotics and human-robot interaction * Human behavior issues in model federations * Validation and analysis techniques for social behavioral models Information, Systems, & Network Science * Data mining on social media platforms * Diffusion and other dynamic processes over networks * Inference of network topologies and changes over time or space * Analysis of link formations and link types * Detection of communities and other types of structures in networks * Analysis of high-dimensional networks * Analytics for social and human dynamics Military & Intelligence Applications * Group formation and evolution in the political context * Networks and political influence * Group representation and profiling * Reasoning about terrorist group behaviors and policies towards them * Cyber and attribution * Social Cyber-Security applications * Social simulation for military training * Cyber diplomacy * Computational methods to transform traditional GEOINT and open source data into spatio-temporal information describing events and activities Applications for Health and Well-being * Data science applied to health behavior * Modeling of public health and health care policy and decision making * Modeling of behavioral aspects of infectious disease spread * Modeling of behavioral aspects of prevention and treatment for chronic diseases (e.g., cancer, obesity, asthma) * Intervention design and modeling for behavioral health Example Other Applications of Interest to the Community * Economic applications of behavioral and social prediction * Model federation, integration, verification, or validation * Evolutionary computing and optimization * Education, training, professional development and workforce training in modeling and simulation CHALLENGE PROBLEMS: There will be two data science challenges, one on opioids and one on disinformation. Additional details are posted on the conference website, SBP-BRiMS.org/challenge. The deadline for submissions this year will be 17-May-2019. IMPORTANT DATES: Important Dates: Working Paper Submission: 17-May-2019 24-May-2019 Doctoral Consortium Submission due: 17-May-2019 24-May-2019 Demo Submission: 17-May-2019 24-May-2019 Challenge Response Submission: 17-May-2019 24-May-2019 Please see conference website http://sbp-brims.org for more information. AWARDS: All papers are qualified for the Best Paper Award. Papers with student first authors will be considered for the Best Student Paper Award. Those receiving these awards will be invited to publish an extended version in a special issue of the journal Computational and Mathematical Organization Theory. Submission of a paper to the conference means that the authors consent to send an extended version to the special issue, should they receive one of the awards. Papers receiving the best paper awards, the best student paper award, winner of the opioid challenge, and winner of the disinformation challenge will then send an extended version of their paper for publication in the best of SBP-BRiMS 2019 special issue. ------------------------------------------------------------------------------------------------------------- SBP-BRiMS 2019 July 9-12 | Washington, D.C. www.sbp-brims.org Connect with #sbpbrims on social: Follow us on Twitter: http://twitter.com/sbpbrims Like us on Facebook: http://facebook.com/sbpbrims Follow us on LinkedIn: https://www.linkedin.com/company/sbpbrims/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dlinnlp at gmail.com Fri May 17 06:56:38 2019 From: dlinnlp at gmail.com (Slavi Slavov) Date: Fri, 17 May 2019 13:56:38 +0300 Subject: Connectionists: 2nd Call for Participation - RANLP'19 SUMMER SCHOOL on DEEP LEARNING in NATURAL LANGUAGE PROCESSING Message-ID: [apologies for any cross-posting] *************************************************************************** RANLP'19 SUMMER SCHOOL on DEEP LEARNING in NATURAL LANGUAGE PROCESSING *************************************************************************** Varna, Bulgaria 29-30 August 2019 **************** https://dlinnlp.github.io/ ******************** ~ PURPOSE ~ ~~~~~~~~~~~ Deep Learning is a branch of machine learning that has gained significant traction in the field of Artificial Intelligence, pushing the envelope in the state-of-the-art, with many sub-areas including natural language, image, and speech processing employing it widely in their best-performing models. This summer school will feature presentations from outstanding researchers in the field of Natural Language Processing (NLP) and Deep Learning. These will include coverage of recent advances in theoretical foundations and extensive practical coding sessions showcasing the latest relevant technology. The summer school would be of interest to novices and established practitioners in the fields of natural language processing, corpus linguistics, language technologies, translation technology and cognitive studies. It will be held as part of the 12th biennial conference on Recent Advances in Natural Language Processing (RANLP 2019). ~ INVITED PRESENTATIONS ~ ~~~~~~~~~~~~~~~~~~~~~~~~ * Tim Rockt?schel (University College London/ Facebook AI Research) - Introduction to Deep Learning for NLP * Hinrich Sch?tze (Ludwig Maximilian University, Munich) - Neural-based representation Learning * Kyunghyun Cho (New York University/ Facebook AI Research) - Latest topics in representation learning for language * Marek Rei (University of Cambridge) ? Practical talk on application of deep learning in NLP ~ TENTATIVE PROGRAMME ~ ~~~~~~~~~~~~~~~~~~~~~~~ Thursday, 29 August 2019 ------------------------------------------------------ 09:00 - 10:30 Introduction to Deep Learning, by TIM ROCKTASCHEL ------------------------------------------------------ 11:00 - 15:30 Neural Representation Learning, by HINRICH SCHUTZE (12:30 - 14:00 Lunch break) ------------------------------------------------------ 16:00 - 19:00 A general intro to PyTorch, Hands-on material on embeddings & how pretrained embeddings can improve models for NLP, by HEIKE ADEL ------------------------------------------------------ Friday, 30 August 2019 ------------------------------------------------------ 09:00 - 12:30 Latest topics in Representation Learning, by KYUNGHYUN CHO (10:30 - 11:00 Coffee break) ------------------------------------------------------ 12:30 - 14:00 Lunch break ------------------------------------------------------ 14:00 - 15:00 Sense/synset embeddings, Graph enrichment methods, by ALEXANDER POPOV ------------------------------------------------------ 15:00 - 17:00 Sequence Labeling and Tagging, by RGCL* --------------------------------------------------- 17:30 - 19:00 Application of Deep Learning, by MAREK REI ------------------------------------------------------ * This presentation will be given by members of the Research Group in Computational Linguistics (RGCL), University of Wolverhampton. ~ REGISTRATION and FEES ~ ~~~~~~~~~~~~~~~~~~~~~~~~ Please refer to the website for registration: https://dlinnlp.github.io/ ~ CONTACT EMAIL ~ ~~~~~~~~~~~~~~~~ dlinnlp at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Fri May 17 08:45:15 2019 From: jonizhong at msn.com (Joni Zhong) Date: Fri, 17 May 2019 12:45:15 +0000 Subject: Connectionists: [CFP] 1st CFP: IEEE Symposium on Domestic Robotics Message-ID: 1st CFP: IEEE Symposium on Domestic Robotics http://ssci2019.org/dr.html Dear Colleagues, We are organizing a Symposium on Domestic Robotics, co-located with the IEEE Symposium Series on Computational Intelligence (SSCI 2019), which will be held in Xiamen, the beautiful ocean city in China, on Dec 6-9 2019. As the worldwide aging population is increasing, the health-care systems of every country face significant challenges to meet the surging needs of taking care of the aging population. The elderly not only face numerous health issues physically, but they also need to be accompanied to maintain a healthy mental state. This results in high demand for developing in-home assistive devices, such as assistive robots for domestic uses and other smart home devices, for assisting, interacting and monitoring elderly people in their daily life. To these ends, the fundamental functions for these systems may include indoor scene detection, human activity recognition, basic manipulation skills, social interaction skills with the elderly and so on. Although many of the above-mentioned functions have been developed and tested in laboratory settings, there are still practical problems when implementing them in engineering systems and testing them with non-experienced end-users in real-life scenarios: Firstly, the robustness and the adaptivity of the systems should be emphasized when used by the elderly users, whose learning capabilities, psychological and physical conditions may be different from ordinary users. Instead of requiring users to learn to understand the systems, the systems should provide friendly interfaces to communicate with users by using natural language, gestures, as well as other modalities. Secondly, some of the solutions to these functions previously developed in lab settings can be problematic for consumer robots. For example, expensive processes in computational, energy, storage and pricing might not be available/affordable for normal users. Third, as the systems will be used in a home environment, the interpretability of the algorithms, especially the learning algorithms, embedded in the systems should be guaranteed in order to ensure the system to be safe and reliable. The target of this symposium is to tackle the challenges of developing domestic robots using computational intelligence approaches. We provide an opportunity for researchers and practitioners interested in the intersection of service robots, smart home and machine learning to come together, share interesting ideas and discuss ways to jointly move the field forward. We welcome paper contributions from researchers and engineers specializing in different topics of robotic systems or the feedback from the end-users who can share their development to bridge the gap between the experimental systems and the end-products. We also welcome researchers and industrial partners to show their demonstrations of robots or smart home applications about their learning, design and interaction capabilities in order to facilitate the process from prototypes to products. Topics: In general, we welcome paper contributions in studies in different topics on service robot, companion robots, and smart home applications. The main topics of interests include but not limited to: Medical and Healthcare Robotics Cleaning, Floor Care Robotics Entertainment Robotics Social Robotics Human-Robot Interaction and Interactive Robotics Human-Centered Machine Learning Machine Learning and Applications on Robotics Conversational Systems on Robotics Multi-modal Interaction for Robotics Home IoT Devices Smart Home and Smart City Applications. Important dates: July 10, 2019 - Paper Submissions (Please select our symposium (IEEE DR) when submitting the manuscript September 1, 2019 - Notification to Authors October 1, 2019 - Final Submission October 1, 2019 - Early Registration Organizers: Dr. Junpei Zhong, Nottingham Trent University, UK Dr. Ting Han, AIST, Japan Prof. Xiaofeng Liu, Hohai University, China Prof. Ahmad Lotfi, Nottingham Trent University, UK Prof. Angelo Cangelosi, University of Manchester, UK Program Committee (tentative list): Dr Alessandro Di Nuovo Dr. Nicolas Navarro Dr. Pablo Barros Prof. Chenguang Yang Dr. Yanan Li Prof. Kristiina Jokinen Dr. Debora Zanatto Dr. Qiang Li Dr. Weiming Wang Dr. Francisco Cruz -------------- next part -------------- An HTML attachment was scrubbed... URL: From angelo.ciaramella at uniparthenope.it Sat May 18 08:26:55 2019 From: angelo.ciaramella at uniparthenope.it (Angelo Ciaramella) Date: Sat, 18 May 2019 14:26:55 +0200 Subject: Connectionists: CfP - SS - "SOFT COMPUTING METHODS FOR CHARACTERIZING DISEASES FROM OMICS DATA" - CIBB 2019 Message-ID: <20190518142655.Horde.agPO0EClyt7CIIyXrNCx6w1@webmail.uniparthenope.it> Apologize for multiple posting. ------------------------------------------------------------------------------------ Special Session @ CIBB 2019: Computational Intelligence methods for Bioinformatics and Biostatistics 4-6 September 2019, Bergamo, Italy (http://dinamico2.unibg.it/cazzaniga/cibb2019/index.html) ------------------------------------------------------------------------------------ SOFT COMPUTING METHODS FOR CHARACTERIZING DISEASES FROM OMICS DATA Aims and scope: In modern biomedical research, high-throughput technologies, such as the next generation sequencing, produces huge data sets. High-throughput data are collected in the broad context of genomics, epigenomics, transcriptomics and proteomics. From these data, it is possible to explain the pathogenesis or predict the predisposition and/or the clinical outcome of several human diseases, among which psychiatric, cardiovascular, obesity, aetiology of a number of diseases such as cancer, schizophrenia, and Alzheimer, just to name a few. The identification of new strategies for processing and analyzing such kind of data is becoming more and more necessary since their large amount of data can sometimes represent a real obstacle to effectively identify the most relevant patterns and to build comprehensive models capable of explaining complex biological phenotypes. The aim of the special session is to host original papers and reviews on recent research advances and the state-of-the-art methods in the fields of Soft Computing, Machine Learning and Data Mining methodologies concerning with the processing of omics data in order to shed light about the relationship between genotype and disease-related phenotype. Relevant topics within this context include, but are not limited to: - Machine learning - Sparse Coding - Data Mining - Fuzzy and Neuro-Fuzzy Systems - Probabilistic and statistical modelling - OMICs in the context of genomics, epigenomics, transcriptomics anroteomics - Evaluation of protein folding and/or protein-ligand interactions (DNA, RNA and small molecules), also in the context of genetic variation - Identification of potential gene regulatory elements (i.e., miRNAs, etc.) - Analysis of common genetic variants (i.e., SNPs, HLA) - Analysis of experimental data from next-generation sequencing - Analysis of gene expression data - Biomedical applications Organizers: - Angelo Ciaramella, University of Napoli Parthenope, Italy - Giosu? Lo Bosco, University of Palermo, Italy - Alberto Paccanaro, Royal Holloway University of London, United Kingdom - Umberto Ferraro Petrillo, Universit? di Roma - La Sapienza, Italy - Antonino Staiano, University of Napoli Parthenope, Italy - Giorgio Valentini, Universit? degli Studi di Milano, Italy ----------- Important dates Paper submission: 9 June 2019 Acceptance notification: 30 June 2019 Camera ready due: 14 July 2019 Conference: 4 - 6 September 2019 ----------- Important Information For submitting the contribute through Easy Chair the authors must select "SOFT COMPUTING METHODS FOR CHARACTERIZING DISEASES FROM OMICS DATA" session --------------------------------------------- - Angelo Ciaramella, Ph.D - Associate Professor in Computer Science - DiST, Dipartimento di Scienze e Tecnologie - Universit? degli Studi di Napoli "Parthenope" - Room 431, Isola C4, Centro Direzionale - I-80143 Napoli, ITALY - Tel.: 0815476674 From irina.illina at loria.fr Sun May 19 11:00:11 2019 From: irina.illina at loria.fr (Irina Illina) Date: Sun, 19 May 2019 17:00:11 +0200 (CEST) Subject: Connectionists: Post-doc/PhD position Pattern mining for Neural Networks debugging: application to speech recognition In-Reply-To: <2036873445.6556720.1558277932039.JavaMail.zimbra@loria.fr> References: <368574868.1364280.1555270264722.JavaMail.zimbra@loria.fr> <2036873445.6556720.1558277932039.JavaMail.zimbra@loria.fr> Message-ID: <455163424.6556741.1558278011185.JavaMail.zimbra@loria.fr> Post-doc/PhD position Pattern mining for Neural Networks debugging: application to speech recognition Advisors : Elisa Fromont & Alexandre Termier, IRISA/INRIA RBA ? Lacodam team (Rennes) Irina Illina & Emmanuel Vincent, LORIA/INRIA ? Multispeech team (Nancy) firstname.lastname at inria.fr Location: INRIA RBA, team Lacodam (Rennes) Keywords: discriminative pattern mining, neural networks analysis, explainability of blackbox models, speech recognition. Context: Understanding the inner working of deep neural networks (DNN) has attracted a lot of attention in the past years [1, 2] and most problems were detected and analyzed using visualization techniques [3, 4]. Those techniques help to understand what an individual neuron or a layer of neurons are computing. We would like to go beyond this by focusing on groups of neurons which are commonly highly activated when a network is making wrong predictions on a set of examples. In the same line as [1], where the authors theoretically link how a training example affects the predictions for a test example using the so called ?influence functions?, we would like to design a tool to ?debug? neural networks by identifying, using symbolic data mining methods, (connected) parts of the neural network architecture associated with erroneous or uncertain outputs. In the context of speech recognition, this is especially important. A speech recognition system contains two main parts: an acoustic model and a language model. Nowadays models are trained with deep neural networks-based algorithms (DNN) and use very large learning corpora to train an important number of DNN hyperparameters. There are many works to automatically tune these hyperparameters. However, this induces a huge computational cost, and does not empower the human designers. It would be much more efficient to provide human designers with understandable clues about the reasons for the bad performance of the system, in order to benefit from their creativity to quickly reach more promising regions of the hyperparameter search space. Description of the position : This position is funded in the context of the HyAIAI ?Hybrid Approaches for Interpretable AI? INRIA project lab (https://www.inria.fr/en/research/researchteams/inria-project-labs). With this position, we would like to go beyond the current common visualization techniques that help to understand what an individual neuron or a layer of neurons is computing, by focusing on groups of neurons that are commonly highly activated when a network is making wrong predictions on a set of examples. Tools such as activation maximization [8] can be used to identify such neurons. We propose to use discriminative pattern mining, and, to begin with, the DiffNorm algorithm [6] in conjunction with the LCM one [7] to identify the discriminative activation patterns among the identified neurons. The data will be provided by the MULTISPEECH team and will consist of two deep architectures as representatives of acoustic and language models [9, 10]. Furthermore, the training data will be provided, where the model parameters ultimately derive from. We will also extend our results by performing experiments with supervised and unsupervised learning to compare the features learned by these networks and to perform qualitative comparisons of the solutions learned by various deep architectures. Identifying ?faulty? groups of neurons could lead to the decomposition of the DL network into ?blocks? encompassing several layers. ?Faulty? blocks may be the first to be modified in the search for a better design. The recruited person will benefit from the expertise of the LACODAM team in pattern mining and deep learning (https://team.inria.fr/lacodam/) and of the expertise of the MULTISPEECH team (https://team.inria.fr/multispeech/) in speech analysis, language processing and deep learning. We would ideally like to recruit a 1 year (with possibly one additional year) post-doc with the following preferred skills: ? Some knowledge (interest) about speech recognition ? Knowledgeable in pattern mining (discriminative pattern mining is a plus) ? Knowledgeable in machine learning in general and deep learning particular ? Good programming skills in Python (for Keras and/or Tensor Flow) ? Very good English (understanding and writing) However, good PhD applications will also be considered and, in this case, the position will last 3 years. The position will be funded by INRIA (https://www.inria.fr/en/). See the INRIA web site for the post-doc and PhD wages. The candidates should send a CV, 2 names of referees and a cover letter to the four researchers (firstname.lastname at inria.fr) mentioned above. Please indicate if you are applying for the post-doc or the PhD position. The selected candidates will be interviewed in June for an expected start in September 2019. Bibliography: [1] Pang Wei Koh, Percy Liang: Understanding Black-box Predictions via Influence Functions. ICML 2017: pp 1885-1894 (best paper). [2] Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals: Understanding deep learning requires rethinking generalization. ICLR 2017. [3] Anh Mai Nguyen, Jason Yosinski, Jeff Clune: Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. CVPR 2015: pp 427-436. [4] Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus: Intriguing properties of neural networks. ICLR 2014. [5] Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi: Deep Text Classification Can be Fooled. IJCAI 2018: pp 4208-4215. [6] Kailash Budhathoki and Jilles Vreeken. The difference and the norm?characterising similarities and differences between databases. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pages 206?223. Springer, 2015 [7] Takeaki Uno, Tatsuya Asai, Yuzo Uchida, and Hiroki Arimura. Lcm: An efficient algorithm for enumerating frequent closed item sets. In Fimi, volume 90. Citeseer, 2003. [8] Dumitru Erhan, Yoshua Bengio, Aaron Courville, and Pascal Vincent. Visualizing higher-layer features of a deep network. University of Montreal, 1341(3):1, 2009. [9] G. Saon, H.-K. J. Kuo, S. Rennie, M. Picheny: The IBM 2015 English conversational telephone speech recognition system?, Proc. Interspeech, pp. 3140-3144, 2015. [10] W. Xiong, L. Wu, F. Alleva, J. Droppo, X. Huang, A. Stolcke : The Microsoft 2017 Conversational Speech Recognition System, IEEE ICASSP, 2018. -- Associate Professor Lorraine University LORIA-INRIA office C147 Building C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -- Bonne journ?e Irina Illina Ma?tre de conf?rences, HDR, ?quipe Parole bureau C147 LORIA/INRIA B?timent C 615 rue du Jardin Botanique 54600 Villers-les-Nancy Cedex Tel:+ 33 3 54 95 84 90 -------------- next part -------------- An HTML attachment was scrubbed... URL: From irina.illina at loria.fr Sun May 19 11:08:26 2019 From: irina.illina at loria.fr (Irina Illina) Date: Sun, 19 May 2019 17:08:26 +0200 (CEST) Subject: Connectionists: PhD Thesis position or research engineer or post-doc position in Natural Language Processing: Introduction of semantic information in a speech recognition system In-Reply-To: <2005069269.1364399.1555270368126.JavaMail.zimbra@loria.fr> References: <2005069269.1364399.1555270368126.JavaMail.zimbra@loria.fr> Message-ID: <1315593975.6557177.1558278506403.JavaMail.zimbra@loria.fr> PhD Thesis position or research engineer or post-doc position in Natural Language Processing: Introduction of semantic information in a speech recognition system Supervisors: Irina Illina, MdC, Dominique Fohr, CR CNRS Team: Multispeech, LORIA-INRIA Contact: illina at loria.fr, dominique.fohr at loria.fr Duration of post-doc or research engineer : 12-18 months Duration of PhD Thesis : 3 years Deadline to apply : May 15th, 2019 Required skills: background in statistics, natural language processing and computer program skills (Perl, Python). Candidates should email a detailed CV with diploma Under noisy conditions, audio acquisition is one of the toughest challenges to have a successful automatic speech recognition (ASR). Much of the success relies on the ability to attenuate ambient noise in the signal and to take it into account in the acoustic model used by the ASR. Our DNN (Deep Neural Network) denoising system and our approach to exploiting uncertainties have shown their combined effectiveness against noisy speech. The ASR stage will be supplemented by a semantic analysis. Predictive representations using continuous vectors have been shown to capture the semantic characteristics of words and their context, and to overcome representations based on counting words. Semantic analysis will be performed by combining predictive representations using continuous vectors and uncertainty on denoising. This combination will be done by the rescoring component. All our models will be based on the powerful technologies of DNN. Main activities study and implementation of a noisy speech enhancement module and a propagation of uncertainty module; design a semantic analysis module; design a module taking into account the semantic and uncertainty information. Skills Strong background in mathematics, machine learning (DNN), statistics Following profiles are welcome, either Strong background in signal processing or Strong experience with natural language processing Excellent English writing and speaking skills are required in any case. References [Nathwani et al ., 2018] Nathwani, K., Vincent, E., and Illina, I. DNN uncertainty propagation using GMM-derived uncertainty features for noise robust ASR, IEEE Signal Processing Letters , 2018. [Nathwani et al ., 2017] Nathwani, K., Vincent, E., and Illina, I. Consistent DNN uncertainty training and decoding for robust ASR, in Proc. IEEE Automatic Speech Recognition and Understanding Workshop , 2017. [Nugraha et al., 2016] Nugraha, A., Liutkus, A., Vincent E. Multichannel audio source separation with deep neural networks. IEEE/ACM Transactions on Audio, Speech, and Language Processing , 2016. [Sheikh, 2016] Sheikh, I. Exploitation du contexte s?mantique pour am?liorer la reconnaissance des noms propres dans les documents audio diachroniques?, These de doctorat en Informatique, Universit? de Lorraine, 2016. [Peters et al., 2017] Matthew Peters, Waleed Ammar, Chandra Bhagavatula, and Russell Power. 2017. ?Semi-supervised sequence tagging with bidirectional language models.? In ACL. [Peters et al., 2018] Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018. ?Deep contextualized word representations?. In NAACL. [ https://team.inria.fr/multispeech/author/illina/ ] -------------- next part -------------- An HTML attachment was scrubbed... URL: From christopher.honey at gmail.com Sun May 19 17:43:50 2019 From: christopher.honey at gmail.com (Christopher Honey) Date: Sun, 19 May 2019 17:43:50 -0400 Subject: Connectionists: Postdoc Position: Modeling Language in the Human Brain Using Artificial Neural Networks Message-ID: MODELING LANGUAGE IN THE HUMAN BRAIN USING ARTIFICIAL NEURAL NETWORKS A joint postdoctoral position is available in the labs of Christopher Honey and Tal Linzen at Johns Hopkins University. ( https://www.honeylab.org and https://caplabjhu.org ) The goal of this project is to use state-of-the-art artificial neural networks to understand the mechanisms and architectures that enable the human brain to integrate linguistic information at the levels of syllables, words and sentences. For this purpose, the project lead will have access to high-fidelity intracranial recordings from the surface of the human brain, as people process sentences and narratives. In parallel, this project is expected to generate new computational models and analytic methods for natural language processing (NLP), informed and constrained by human data. Johns Hopkins is home to a large and vibrant community in neuroscience and computational linguistics, and the training environment will span the Departments of Cognitive Science, Psychological & Brain Sciences, and Computer Science. The postdoctoral researcher will be affiliated with the Center for Language and Speech Processing, one of the world?s largest centers for computational linguistics (https://www.clsp.jhu.edu/). For candidates who wish to collect new datasets, Hopkins provides a top-notch neuroimaging center, including 3T and 7T scanners; new TMS and EEG facilities housed in the PBS department; and access to human intracranial experiments via neurology collaborators in Baltimore and Toronto. The postdoctoral researcher will have access to a large number of GPUs for training neural networks and other computational models through the Maryland Advanced Research Computing Center. The position is available immediately, though start date is somewhat flexible. Applications will be reviewed on a rolling basis. The initial appointment is for one year, with the opportunity for renewal thereafter. We especially encourage applications from women and members of minorities that are underrepresented in science. *Qualifications*: Candidates should have (i) a PhD in a relevant field (e.g., linguistics, cognitive science, neuroscience, physics, psychology, mathematics, or computer science) by the start date; (ii) a publication record that includes computational modeling and empirical data analysis. The ideal candidate will have a combined background in computational linguistics, machine learning and neuroscience. *Application Instructions*: To apply, please email a cover letter (including a brief summary of previous research accomplishments and future plans), a current CV, and a relevant publication to neural.language.modeling.jhu at gmail.com. In the CV or cover letter, please include contact information for three references. For any questions, feel free to email Chris Honey (chris.honey at jhu.edu) and Tal Linzen ( tal.linzen at jhu.edu). -------------- next part -------------- An HTML attachment was scrubbed... URL: From pmkrafft at uw.edu Sun May 19 20:32:49 2019 From: pmkrafft at uw.edu (Pete Krafft) Date: Mon, 20 May 2019 00:32:49 +0000 Subject: Connectionists: [NeurIPS-related] Survey on defining A.I. and identifying relevant social issues to inform policy Message-ID: Dear Connectionists, I am running a survey and attempting to reach the A.I. and machine learning communities as broadly as I can. The survey is about classifying and defining A.I. technologies, and my hope is that this survey might inform some ongoing A.I. policy discussions. Whether you could use a fun short break from your NeurIPS crunch, or you are just interested in this topic, I'd love to get your thoughts! https://ischooluw.co1.qualtrics.com/jfe/form/SV_eWDnUFB1cyKjDrn?Q_CHL=connectionists Feedback and email replies with thoughts are also welcome. :) Please share with others too. Retweet this tweet if you like the survey! https://twitter.com/_pmkr/status/1129999839947677696 -- Peter Krafft Postdoctoral Fellow University of Washington -------------- next part -------------- An HTML attachment was scrubbed... URL: From kenneth.harris at ucl.ac.uk Mon May 20 09:59:55 2019 From: kenneth.harris at ucl.ac.uk (Harris, Kenneth) Date: Mon, 20 May 2019 13:59:55 +0000 Subject: Connectionists: Research positions in neuroscience Message-ID: Our neuroscience research team at University College London is generating petabyte-scale datasets, such as simultaneous recordings of tens of thousands of neurons, that provide an unprecedented opportunity to learn how the brain works. We are looking for a data scientist to develop tools to harness this information. This position would suit graduates in Mathematics, Statistics, Computer Science, Engineering, Physics, or a related field. Strong programming skills are essential (we mostly use Python and MATLAB), as well as experience with version control systems. Knowledge of machine learning, digital image/signal processing, or relational databases is a plus. No prior knowledge of biology or neuroscience is required, as the skills most essential for this position are data processing. This position would be an ideal opportunity for an individual interested in brain research to learn about this fascinating subject. To apply, go to https://www.ucl.ac.uk/human-resources/working-ucl/jobs-ucl, click "Search for a job" and enter reference number 1805922; alternatively follow this link. Note: this position requires an Honors degree but does not require a PhD, although UCL's HR website currently incorrectly lists a PhD requirement. We will shortly be advertising a postdoctoral vacancy also. The deadline for applications in 13 June 2019. --------------------- Kenneth D. Harris Professor of Quantitative Neuroscience Institute of Neurology, Department of Neuroscience, Physiology, and Pharmacology University College London Cruciform Building, Gower Street London WC1E 9BT Phone: +44 (0) 20 7679 0709 -------------- next part -------------- An HTML attachment was scrubbed... URL: From v.steuber at herts.ac.uk Mon May 20 12:14:10 2019 From: v.steuber at herts.ac.uk (Volker Steuber) Date: Mon, 20 May 2019 16:14:10 +0000 Subject: Connectionists: Principal Lecturer/Reader in Artificial Intelligence at the University of Hertfordshire, UK In-Reply-To: References: <1496229607391.68206@herts.ac.uk>, <1527249156023.61617@herts.ac.uk>, <1529080128822.22268@herts.ac.uk>, <1538737392575.21384@herts.ac.uk>, Message-ID: Principal Lecturer/Reader in Artificial Intelligence School of Engineering and Computer Science University of Hertfordshire Hatfield, UK FTE: 1.0 fte working 37 hours per week Duration of Contract: Permanent Salary: ?50,132 to ?59,828 pa Closing Date: 5th June 2019 Interview Date: 27th June 2019 Reference Number: 016194 Apply here: https://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies Applications are invited for an exceptionally well qualified Reader of Artificial Intelligence of international standing who shares our commitment to research-informed teaching, embraces the research impact agenda, and values collegiality. Applicants will strengthen existing activity within the Department and develop it further, enhancing the research strengths and external reputation of the Department of Computer Science and contributing significantly to its performance in future research assessments and collaborations with public and commercial partners. The successful applicant will connect to and complement the research conducted by the Adaptive Systems Research Group within the Centre for Computer Science and Informatics Research. We encourage applications from researchers across a wide spectrum of AI, including emerging topics in AI. Possible fields include, but are not limited to: * Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms * Robotics: embodied and/or cognitive robotics, HRI, robot safety, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics * Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation * Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization * Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), modern topics in games and AI * AI and applications: financial modelling, AI and biology/physics/cognitive sciences * Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life As well as providing research supervision at PhD and MSc level, the Department of Computer Science offers modules in Artificial Intelligence, machine learning, neural and evolutionary computing, as well as Artificial Life on the BSc and MSc programmes. Applicants will be committed to a strong research and research-informed teaching agenda and will actively contribute to increase research impact of the department, in the enthusiastic, welcoming and collegiate environment of the department. Applicants will be expected to contribute to the teaching in the department. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English, an internationally excellent research record and reputation, including publications of the highest quality suitable for submission to the REF (UK Research Excellence Framework). Applicants are expected to demonstrate standing in the research community, along with, and success in research/commercial income generation, engagement with the research impact agenda, and academic leadership. The reader will have opportunity to contribute actively to interdisciplinary research projects at the department and university level. Readership appointment The Appointment Panel for the post will be constituted in such a way that if the successful candidate fulfills the University's Readership criteria, then the Panel may award a Readership title to the successful candidate. For a readership appointment, the names and contact details of three academic referees of appropriate standing in the field are required who may be approached by the University prior to interview. For further guidance regarding the Readership process, please see the supporting Readership Policy. We particularly welcome female applicants as they are under-represented within the School at these levels. Contact Details/Informal Enquiries: Informal enquiries may be addressed to Dr Simon Trainis, Head of Department of Computer Science by email only, S.A.Trainis at herts.ac.uk. Please note that applications sent directly to this email address will not be accepted. The School of Engineering and Computer Science hosts the University of Hertfordshire Robot House, a facility ubiquitously equipped with low-cost sensors providing a realistic environment for experiments with robotics in a smart home; a fully-fledged RoboCup lab for development of humanoid robots participating in international competitions, and a large variety of different robotic platforms, including iCub and Baxter. The University offers a range of benefits including a pension scheme, professional development, family friendly policies, a fee waiver of 50% for all children of staff under the age of 21 at the start of the course, discounted memberships at the Hertfordshire Sports Village and generous annual leave. -------------- next part -------------- An HTML attachment was scrubbed... URL: From pel at gatsby.ucl.ac.uk Tue May 21 05:40:10 2019 From: pel at gatsby.ucl.ac.uk (Peter Latham) Date: Tue, 21 May 2019 10:40:10 +0100 (BST) Subject: Connectionists: Registration extended for Neural Coding, Computation and Dynamics Message-ID: ? ?? Neural Coding, Computation and Dynamics (NCCD) ? ? ? ? ? ? ? ??????? September 22 - 25, 2019 ? ? ? ? ? ? ? ? ? ? ? ? ? Capbreton, France https://nccd2019.sciencesconf.org Registration extended! Keep an eye on this list: we are trying to get travel funds for students and postdocs! Important dates: May 31: abstract submission deadline June 15: early registration deadline NCCD19 is the fourth in a series of meetings focusing on topics in theoretical and experimental neuroscience. As with previous workshops, our goal is to foster the strong interactions we believe are so important for this field. So the meeting will be small (~70 people). About half the talks will be invited and half contributed, and there will be poster sessions on two of the nights. Time for informal discussion will be emphasized during breaks and at mealtimes - with lunch and dinner at the conference venue included in the cost of registration. Venue: Casino de Capbreton, Capbreton, France. https://www.casino-capbreton.com/ translation to English: https://translate.google.com/translate?hl=en&sl=fr&u=https://www.casino-capbreton.com/&prev=search 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 malin.sandstrom at incf.org Tue May 21 06:26:51 2019 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Tue, 21 May 2019 12:26:51 +0200 Subject: Connectionists: Places left for training courses before INCF's Neuroinformatics 2019 Message-ID: Dear all, there are still som places left for the (free) training courses we are arranging in Warsaw on August 31, the day before Neuroinformatics 2019. All courses are free to attend for registered participants. The TVB WS explains fundamental principles of full brain network modelling using the TVB open source neuroinformatics platform. Lectures & hands-on sessions allow participants to immediately apply concepts from the lectures to their simulations. http://bit.ly/2Hs9L7h The HBPBrainSim short course introduces participants to the Brain Simulation Platform (BSP). After the course participants will be able to use the BSP to access HPC systems to configure & run simulations and visualize & analyze simulation results. http://bit.ly/2Ht7AQN The course ?Neuroscience data integration through use of digital brain atlases?, a combination of lectures & hands-on training, introduces participants to a workflow for spatial integration of morphological features in a 3D reference atlas. http://bit.ly/2HqnPOh See https://www.neuroinformatics2019.org/ for more information. Best regards, Malin -- Malin Sandstr?m, PhD Community Engagement Officer malin.sandstrom at incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels v?g 15 A SE-171 77 Stockholm Sweden http://www.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From daneshtarapore at gmail.com Tue May 21 06:31:14 2019 From: daneshtarapore at gmail.com (Danesh Tarapore) Date: Tue, 21 May 2019 11:31:14 +0100 Subject: Connectionists: [JOBS] Research fellow in Swarm Robotics Message-ID: Hi, We are looking for a post-doctoral researcher to join our project "Flexible autonomy for swarm robotics", funded by the Alan Turing Institute . If interested, please visit https://jobs.soton.ac.uk/Vacancy.aspx?ref=1140719FP for project details. Kind regards, Danesh. --- Dr Danesh Tarapore Assistant Professor, Electronics and Computer Science University of Southampton. SO17 1BJ. UK. Tel: (+44) (0) 23 805 99255 http://daneshtarapore.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From asdm at fi.upm.es Tue May 21 07:43:27 2019 From: asdm at fi.upm.es (asdm at fi.upm.es) Date: Tue, 21 May 2019 13:43:27 +0200 (CEST) Subject: Connectionists: Fourteenth Madrid UPM Advanced Statistics and Data Mining Summer School (June 24th - July 5th, 2019) - Early registration deadline Message-ID: <1867750575.0.1558439007763.JavaMail.bmihaljevic@morelia> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school finishes on June 2nd (included). The summer school will be held in Boadilla del Monte, near Madrid, from June 24th to July 5th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. Our summer school has been an INOMICS world top ten summer schools in mathematics and statistics from 2015 to 2017. See the 2017 ranking at http://bit.ly/2oR00GI Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larra?aga, Concha Bielza, Bojan Mihaljevi? and Santiago Gil Begu?. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 24th - June 28th, 2019) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Learning algorithms. Learning and Optimization. Deep Networks. Practical session: Jupyter notebooks in Python Anaconda with keras and tensorflow. Course 6: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. * Week 2 (July 1st - July 5th, 2019) * 1st session: 9:45-12:45 Course 7: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. Course 8: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization with proximal methods. Practical session: Python Anaconda with scikit-learn. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. From gros at itp.uni-frankfurt.de Tue May 21 11:28:03 2019 From: gros at itp.uni-frankfurt.de (Claudius Gros) Date: Tue, 21 May 2019 17:28:03 +0200 Subject: Connectionists: =?utf-8?q?Special_Entropy_Issue_=22Information_Th?= =?utf-8?q?eory_in_Computational_Neuroscience=22?= Message-ID: <38ea-5ce41900-11-2c03cc00@118597201> Special Entropy Issue "Information Theory in Computational Neuroscience" https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscience Deadline for manuscript submissions: 31 January 2020 Dear Colleagues, Brains empower living organisms with extraordinary information processing capabilities. Complex spatio-temporal dependencies present in their environments may be learned, long- and short-term memories of experiences and plans regarding the future. Importantly, information processing in the brain happens over multiple spatio-temporal scales, from single synapses and synaptic terminals to dendritic trees and neuronal bodies, all the way up to neuronal networks and large brain areas. Hence, it is not surprising that information theory has led to many exciting developments in computational neuroscience, providing tools essential for our modern understanding of the computational principles that govern the development, structure, physiology, and dynamics of the nervous system. In this Special Issue, we aim to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. Prof. Dr. Claudius Gros Dr. Dimitrije Markovi? Guest Editors ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Mageia, das Buch der Farben ### http://www.buchderfarben.de ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ### From ieee.cibcb.2019 at gmail.com Tue May 21 09:13:42 2019 From: ieee.cibcb.2019 at gmail.com (IEEE CIBCB 2019) Date: Tue, 21 May 2019 15:13:42 +0200 Subject: Connectionists: IEEE CIBCB 2019 - CALL FOR HIGHLIGHTS AND ABSTRACTS - Deadline: May 31, 2019 Message-ID: #################################################################### *Our apologies if you receive multiple copies of this announcement* IEEE CIBCB 2019 Computational Intelligence in Bioinformatics and Computational Biology July 9-11, 2019 - Certosa di Pontignano, Siena - Tuscany, Italy https://cibcb2019.icas.xyz/ ============================== CALL FOR HIGHLIGHTS (Oral) - Submission Deadline: May 31, 2019 We invite the submission of full papers that have recently been published, or accepted for publication for a highlight presentation. Submission should include a ?scientific justification? (one page maximum) that explains the content of the submitted proposal and explain how the work is impacting the field and why it would make a valuable addition to CIBCB 2019. 'Scientific justifications' should be of the same format as full papers (see formatting details) and submitted using the same link (via the EasyChair online submission system) as full papers before the 31th of May. https://cibcb2019.icas.xyz/call-for-late-breaking-abstracts/ ============================== CALL FOR ABSTRACTS (short oral and poster) - Submission Deadline: May 31, 2019 One-page abstracts describing late-breaking developments within the scope of the conference are solicited for presentation at the Poster Snapshot Session and the Poster Session. Abstracts will be published on the conference website. Authors of accepted abstracts will individually retain copyright (and all other rights) to their abstracts. Accepted abstracts with no author registered by the deadline will not appear on the conference website. Abstracts should be of the same format as full papers (see formatting details) and submitted using the same link as full papers before the 31th of May. All abstracts must be submitted via the EasyChair online submission system. https://cibcb2019.icas.xyz/call-for-late-breaking-abstracts/ =============== 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"). =============== 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 iswc.conf at gmail.com Tue May 21 11:17:22 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Tue, 21 May 2019 17:17:22 +0200 Subject: Connectionists: [CfP] ISWC 2019 - *one week left* to submit your Journal track 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 23:59:59 Hawaii time.) In this announcement: * Highlights 1. Call for Journal papers * Highlights ******************************************* * Journal Track: Eligible papers should either have been published within the Semantic Web Journal or Journal of Web Semantics or must be clearly fitting the ISWC topics, if published in alternative established and recognized journals. Eligible papers should have been published (even only in the electronic version) in the last around two years, starting from January 1st 2017 until present. 1. Call for Journal papers ******************************************* The journal track is intended as a forum for presentations of significant Semantic Web-related research results that have been published recently in well known and established journals and have never been presented at any Semantic Web-related conference. The goal is to give visibility of these results to a conference audience as well as to promote discussions concerning such results. Eligible papers should either have been published within the Semantic Web Journal or Journal of Web Semantics or must be clearly fitting the ISWC topics, if published in alternative established and recognized journals (see the list below). Specifically, eligible papers should have been published (even only in the electronic version) in the last around two years (starting from January 1st 2017 until present), though exceptions could be made for papers judged as potentially very influential but that have been published before January 2017. The authors of such papers will have the opportunity to present their work during the conference days. The abstracts of accepted papers will be published on the conference web site and the papers themselves will be compiled into a CEUR-WS Proceedings for easy Web retrieval and archival, but they will not be part of the printed Springer conference proceedings. Metadata for all accepted submissions will be included in the conference metadata corpus. Detailed information about metadata creation will be provided with the acceptance notification of the successful submissions. Further info: https://iswc2019.semanticweb.org/call-for-journal-track/ == Important Dates == Submissions due May 29, 2019 == Program Chairs == Contact: iswc2019-journal at inria.fr Claudia d?Amato, University of Bari, Bari, Italy Lalana Kagal, MIT, Cambridge, MA, USA Looking forward to your submissions! The ISWC 2019 Organising Team ( https://iswc2019.semanticweb.org/organizing-committee/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From M.Goodfellow at exeter.ac.uk Tue May 21 09:58:34 2019 From: M.Goodfellow at exeter.ac.uk (Goodfellow, Marc) Date: Tue, 21 May 2019 13:58:34 +0000 Subject: Connectionists: ICTALS 2019 registration open Message-ID: Dear All, Registration is now open for ICTALS 2019 at the University of Exeter 2-5th September 2019. Please see: www.exeter.ac.uk/ictals2019/registration/ Early bird registration is open until 31 July 2019 at the following rates: Students ?250 Faculty/ Clinician ?400 Industry ?500 Lived experience (non-scientist) ?30 for the first 20 registrants. Spaces are limited, so we would encourage you to register as soon as possible. The International Conference for Technology and AnaLysis of Seizures, 2019 (ICTALS2019) will take place at the University of Exeter, September 2nd - 5th 2019. The goal of this conference is to bring together neurologists, neuroscientists, researchers from quantitative disciplines and people with lived experience of epilepsy in order to work as a community to advance our understanding of epilepsy and develop practical ways to improve diagnosis and treatment. This is the second ICTALS conference, which is an evolution of the previous International Workshop on Seizure Prediction (IWSP) series. The theme for this year's conference will be: "The Epilepsy Journey: from first seizure to treatment and beyond". We will emphasise how advances in our understanding of the dynamics of brain networks can be used to make a difference to people with epilepsy at all points of their journey: from elucidating the causes of the first seizure to diagnosing epilepsy, understanding how ictogenic networks give rise to recurrent seizures and how this insight can inform personalised treatment. To encourage this focus on translatable output of research we will seek to include all relevant communities. In addition to focussing on current scientific, clinical and technological advances, we will take steps to increase accessibility for people with lived experience of epilepsy. For further information see http://exeter.ac.uk/ictals2019 We look forward to seeing you in Exeter in September! Best wishes Marc Goodfellow, on behalf of the local organising committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From knorman at Princeton.EDU Tue May 21 17:08:58 2019 From: knorman at Princeton.EDU (Kenneth A. Norman) Date: Tue, 21 May 2019 21:08:58 +0000 Subject: Connectionists: New tutorials for advanced fMRI analysis Message-ID: <10853B04-A37A-4358-883C-E7F420437676@princeton.edu> We're very excited to announce our new user-friendly Jupyter notebook BrainIAK tutorials for advanced fMRI data analysis in Python, which can be freely downloaded or run on the cloud. software: https://brainiak.org/tutorials/ preprint: https://osf.io/j4sbc/ Techniques covered include MVPA, RSA, searchlight, functional connectivity, inter-subject correlation, shared response modeling, event segmentation using HMMs, and real-time fMRI. This work was led by Manoj Kumar and Cameron Ellis in collaboration with the Brain-Inspired Computing Lab at Intel, based on courses taught by Nick Turk-Browne at Yale and Ken Norman and Peter Ramadge at Princeton. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Tue May 21 15:38:08 2019 From: Francesco.Rea at iit.it (Francesco Rea) Date: Tue, 21 May 2019 19:38:08 +0000 Subject: Connectionists: [jobs] PhD fellowships at Istituto Italiano di Tecnologia (IIT) on interactive robotics Message-ID: <0484628bfadf43449c3a0bcac2804d9a@iit.it> In the spirit of the doctoral School on Bioengineering and Robotics the PhD Program for the curriculum "Cognitive Robotics, Interaction and Rehabilitation Technologies" provides interdisciplinary training at the interface between technology and life-sciences (https://www.iit.it/phd-school-docs/phd-2019/685-phd-themes-35-cognitive-robotics-interaction-rehabilitation-technologies). The fellowships will be assigned to the best applicants and are offered this year by two Units (the Robotics, Brain and Cognitive Sciences Unit - RBCS and the Unit COgNiTive Architecture for Collaborative Technologies - CONTACT) of the Istituto Italiano di Tecnologia in collaboration with colleagues of the Department of Informatics, Bioengineering, Robotics and System's Engineering (DIBRIS) of the University of Genova as part of this curriculum. The following titles represent research topics of interest, but the applicants are welcome to propose other lines of research on the theme of interactive robotics. *) Make humanoids understand and synthesize human actions (Tutors: Dr. Francesco Rea, Dr. Alessandra Sciutti, Prof. Fulvio Mastrogiovanni ) The general aim of this project will be to provide the humanoid robot iCub with a similar visuo-motor matching skill in order to endow it with a human-like ability to understand human actions and to synthesize movements that are intuitively readable by the human collaborator. *) Cognitive robotics for shared perception in human robot interaction (Tutors: Dr. Alessandra Sciutti, Dr. Francesco Rea, Prof. Giulio Sandini) The goal of the research is enabling the humanoid robot iCub to similarly adapt its perception and action to the human partner, in order to establish an efficient interaction, with potential implications for assistive technology for the elderly. *) The role of Social Signals in Human-Robot Communication (Tutors: Dr. Francesco Rea, Prof. Giulio Sandini) The first goal of the research is modelling how the humanoid robot iCub could adapt its perception and behavior to the individual needs of the partner during an interaction, with potential implications for communicative technology in different robotics application areas such as automotive and personal. The second goal of the research is to exploit how these models can be transferred to minimalistic robotic designs exploiting social signals. Requirements: degree in robotics, bioengineering, computer science, computer engineering, or related disciplines, attitude for problem solving, C++ programming. A background on machine learning is an asset. Contacts: Applicants are strongly encouraged to contact the perspective tutors before they submit their application: alessandra.sciutti at iit.it, francesco.rea at iit.it giulio.sandini at iit.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From Francesco.Rea at iit.it Tue May 21 15:38:24 2019 From: Francesco.Rea at iit.it (Francesco Rea) Date: Tue, 21 May 2019 19:38:24 +0000 Subject: Connectionists: [jobs] PhD fellowships at Istituto Italiano di Tecnologia (IIT) on perception in cognitive robotics Message-ID: In the spirit of the doctoral School on Bioengineering and Robotics the PhD Program for the curriculum "Cognitive Robotics, Interaction and Rehabilitation Technologies" provides interdisciplinary training at the interface between technology and life-sciences (https://www.iit.it/phd-school-docs/phd-2019/685-phd-themes-35-cognitive-robotics-interaction-rehabilitation-technologies). The fellowships will be assigned to the best applicants and are offered this year by two Units (the Robotics, Brain and Cognitive Sciences Unit - RBCS and the Unit COgNiTive Architecture for Collaborative Technologies - CONTACT) of the Istituto Italiano di Tecnologia in collaboration with colleagues of the Department of Informatics, Bioengineering, Robotics and System's Engineering (DIBRIS) of the University of Genova as part of this curriculum. The following titles represent research topics of interest, but the applicants are welcome to propose other lines of research on the theme of perception in cognitive robotics. *) Touching to interact and communicate (Tutors: Dr. Alessandra Sciutti, Prof. Giulio Sandini) This research project focuses on the role of touch in interaction, both in human-human and in human-robot scenarios. Starting from an analysis of how active touch is exploited and controlled in the interaction with the environment, the investigation will then identify the properties specific to touch aimed to interaction with others. *) Computational neuroscience models for auditory aware robots (Tutors: Dr. Francesco Rea, Prof. Giulio Sandini) The PhD program intends to develop and implement novel computational neuroscience models of audiovisual processing as a solution for cognitive robotics. The program is working toward the goal of endowing the humanoid robot iCub with audiovisual awareness in an unstructured acoustic world *) Cognitive-inspired models for motion understanding for human-robot interaction (Tutors: Dr. Alessandra Sciutti, Dr. Francesco Rea, Prof. Nicoletta Noceti) The general goal of this project will be to provide iCub with a human inspired computer vision abilities that will guarantee a more natural and proficient interaction with human users. In particular the focus will be on action and agent understanding. View-invariance will be one of the crucial aspects of the system, together with the capability of inferring information about the 3D orientation of an agent Requirements: degree in robotics, bioengineering, computer science, computer engineering, or related disciplines, attitude for problem solving, C++ programming. A background on machine learning is an asset. Contacts: Applicants are strongly encouraged to contact the perspective tutors before they submit their application: alessandra.sciutti at iit.it, francesco.rea at iit.it giulio.sandini at iit.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From Xujuan.Zhou at usq.edu.au Wed May 22 06:55:30 2019 From: Xujuan.Zhou at usq.edu.au (Xujuan Zhou) Date: Wed, 22 May 2019 10:55:30 +0000 Subject: Connectionists: WI'19 CFP Message-ID: ******************************************************************************* Please accept our apologies if you should receive multiple copies of this CFP. ******************************************************************************* C A L L F O R P A P E R S ------------------------------------------------------------------------------- IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019, Thessaloniki, GREECE https://webintelligence2019.com Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) ------------------------------------------------------------------------------- Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance knowledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web's entities, phenomena, and developments. The theme for the WI '19 is "Web Intelligence = AI in the Connected World" The 18th Web Intelligence conference (WI'19) aims to achieve a multi- disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI'19 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. TRACKS AND 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: May 26th, 2019 (extended): Full Papers; Demo papers; Tutorial proposals July 5th, 2019 (extended): Notification of Acceptance/Rejection July 19th, 2019 (extended): Final, Camera Ready Papers, Due PAPER SUBMISSION ++++++++++++++++ Papers must be submitted electronically via CyberChair in standard ACM Conference Proceedings format(max 8 pages, templates at https://www.acm.org/publications/proceedings-template). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. Please follow guidelines: https://wi-lab.com/cyberchair/2019/wi19/scripts/submit.php?subarea=Wr ORGANIZING 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 ________________________________________________________________________ To unsubscribe, go to https://wi-lab.com/cyberchair/wic_confs/unsubscribe.php?cfm=58SiB1WFUlATwem&pi=58570 _____________________________________________________________ This email (including any attached files) is confidential and is for the intended recipient(s) only. If you received this email by mistake, please, as a courtesy, tell the sender, then delete this email. The views and opinions are the originator's and do not necessarily reflect those of the University of Southern Queensland. Although all reasonable precautions were taken to ensure that this email contained no viruses at the time it was sent we accept no liability for any losses arising from its receipt. The University of Southern Queensland is a registered provider of education with the Australian Government. (CRICOS Institution Code QLD 00244B / NSW 02225M, TEQSA PRV12081 ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From matthieu.gilson at upf.edu Wed May 22 08:48:47 2019 From: matthieu.gilson at upf.edu (Matthieu Gilson) Date: Wed, 22 May 2019 14:48:47 +0200 Subject: Connectionists: summer course "Hands-on course on neural data science" at UPC (Barcelona, Spain) Message-ID: Dear All, It is our pleasure to announce a Hands-on course on neural data science. The course is part of the *XIII Summer School in Statistics* organized by the Facultat de Matem?tiques i Estad?stica (Universitat Polit?cnica de Catalunya, UPC) and the Universitat de Barcelona (UB). *Venue:* UPC campus in Barcelona (Spain) *Dates:* 1st to 5th of July 2019. *Course Description:* (https://mesioupcub.masters.upc.edu/en/xiii-summer-school-2019/courses/hands-on-course-on-neural-data-science-july-1st-to-5th) The course focuses on several aspects of data science applied to data recorded from the brain: statistical modeling, graph theory, statistical analysis and machine learning. The course is based on a learn-by-coding philosophy: the students will develop a data-driven project throughout the course to understand and apply some of the taught techniques under the supervision of the teachers. Many methods explained during this course can be applied to different data outside brain sciences, so previous experience in neuroscience is not required. The course includes statistical modeling of time series, graph theory (with GAlib package) and machine learning (with scikit-learn package).* * *Registration:*https://mesioupcub.masters.upc.edu/en/xiii-summer-school-2019/xiii-summer-school-2019 For further information, you cancontact _gestio.summerschool.fme at upc.edu _ Best regards, Andrea Insabato, Adri? Tauste, Matthieu Gilson and Gorza Zamora-L?pez __ -- Matthieu Gilson Center for Brain and Cognition Universitat Pompeu Fabra http://matthieugilson.eu -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed May 22 09:53:33 2019 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Wed, 22 May 2019 16:53:33 +0300 Subject: Connectionists: Invitation for the 2019 Summer School on Autonomous Systems (focus on cars, drones), 26-30th August 2019, Aristotle University of Thessaloniki, Thessaloniki, Greece Message-ID: <002901d510a5$bf7dd240$3e7976c0$@csd.auth.gr> Dear Autonomous Systems (cars, drones) engineers, scientists, and enthusiasts, you are welcomed to register to the 2019 Summer School on Autonomous Systems having focus on autonomous/self-driving cars and drones: http://icarus.csd.auth.gr/summer-school-2019/ It will take place on 26-30/8/2019 at the Aristotle University of Thessaloniki, Thessaloniki, Greece. It consists of two short courses: a) 'Short course on Deep Learning and Computer Vision for Autonomous Systems. Application focus on autonomous/self-driving cars', 26-27th August 2019: http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/ b) 'Programming short course and workshop on Deep Learning and Computer Vision for Drone Imaging', 28-30th August 2019: http://icarus.csd.auth.gr/drone-school-2019/ You can follow the above-mentioned links for registration on either or both courses. For questions, please contact: Ioanna Koroni > The first course contains 16 lectures proving an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous/self-driving car vision. The second programming short course and workshop offers a mix of lectures and programming workshops (hands-on lab exercises) and aims at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on drone planning/control and imaging. Both short courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, Coordination of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018). Thessaloniki is a very pleasant city at the end of August, very close to world-class resorts in Chalkidiki peninsula. Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally and its campus is at the city center. Relevant links: 1. H2020 project Multidrone: https://multidrone.eu/ 2. AIIA Lab: http://www.aiia.csd.auth.gr/ 3. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ &hl=el Course descriptions a) 'Short course on Deep Learning and Computer Vision for Autonomous Systems. Application focus on autonomous/self-driving cars', 26-27th August 2019. http://icarus.csd.auth.gr/dl-and-cv-for-autonomous-cars-2019/ Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Introduction in computer vision 3. Image acquisition, camera geometry 4. Stereo and Multiview imaging 5. Motion estimation 6. Mapping and localization 7. Introduction to autonomous car vision 8. Real-time road infrastructure monitoring Part B (8 hours) Deep learning topic list 1. Introduction to neural networks. Perceptron, backpropagation 2. Deep neural networks. Convolutional NNs 3. Parallel GPU and multicore CPU architectures. GPU programming 4. Fast convolution algorithms 5. Deep learning for target detection 6. 2D Target tracking and 3D target localization 7. Road scene understanding 8. 3D road surface modelling b) 'Programming short course and workshop on Deep Learning and Computer Vision for Drone Imaging'28-30th August 2019. http://icarus.csd.auth.gr/drone-school-2019/ Part A (8 hours), Deep learning topic list 1. Deep neural networks. Convolutional NNs 2. Deep learning for target detection 3. PyTorch basics 4. Target detection with Pytorch 5. Object-oriented Tensorflow in Google Colab Part B (8 hours), Computer vision topic list 1. 2D target tracking and 3D target localization 2. Parallel GPU and multicore CPU architectures. GPU programming 3. CUDA programming 4. OpenCV programming for object tracking 5. Drone mission simulations Part C (8 hours), Drone planning/control topic list 1. Drone mission planning and control 2. Gimbal control for target tracking 3. Drones with ROS and Gazebo simulations 4. Brain-Drone Interaction (to be confirmed) Sincerely yours Prof. I. Pitas -------------- next part -------------- An HTML attachment was scrubbed... URL: From delisyannis at gmail.com Wed May 22 10:45:00 2019 From: delisyannis at gmail.com (Yannis Delis) Date: Wed, 22 May 2019 15:45:00 +0100 Subject: Connectionists: Post-doc in Computational Neuroimaging of Decision-Making Message-ID: We are looking to appoint a postdoctoral fellow to make a leading contribution to an EU-funded project on the neurobiology of human decision making. The post will be based at the School of Biomedical Sciences of the University of Leeds. The aim of our research is to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying the processing of multisensory information, the formation of perceptual decisions and the execution of subsequent actions. To this end, we use multimodal recordings including neuroimaging (EEG), motor signals (EMGs and kinematics) and behavioural data coupled with advanced multivariate analysis methods and computational modelling. We develop computational methodologies inspired by machine learning, statistical signal processing, information theory and Bayesian modelling to fuse data from different modalities, extract the main patterns of brain activity and characterise their functional roles with respect to the task at hand. The goal of this project will be to unravel the neural representations of the mental processes implicated in the processing of (multi-)sensory information and the formation of perceptual decisions. Candidates must have previous practical experience in EEG recordings and data analysis as evident by a strong track record of publications in international journals. Working knowledge of multivariate data analysis techniques and excellent programming skills in Matlab and/or Python are highly desirable. Interested candidates are invited to contact Dr. Ioannis Delis (*i.delis at leeds.ac.uk *), email their CV and briefly explain their interest in this position. Starting date is flexible. -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Wed May 22 14:59:15 2019 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Wed, 22 May 2019 20:59:15 +0200 Subject: Connectionists: 1st Int. W. on Education through Advanced Software Engineering and Artificial Intelligence Message-ID: <87c2b1bb-dc64-2c8b-e439-e28ab3005c1e@unamur.be> Dear colleagues, We have the pleasure to invite you to contribute to the 1st International Workshop on EducationthroughAdvanced Software Engineeringand Artificial Intelligence.? It will be co-located with ESEC/FSE '19at Tallin, Estonia on Monday 26 August 2019. This workshop will be a perfect opportunity to foster interesting discussions across complementary communities(software engineering, education science, artificial intelligence, machine learning, natural language processing, etc.), through the common lens of how advanced software tools and techniques * might be used as a catalyst for a better way to teach various types of students; * might require innovative teaching techniques to make the less specialized public aware of their importance and peculiarities. We strongly encourage contributions focusing on out-of-the-box tools, ideas, methodologies, experimentations, etc. pertaining to education through and to digital technologies. We would also be grateful if you could help us advertise the workshop by forwarding this CFP to your research collaborators. Best regards, Beno?t Vanderose - UNamur / PReCISE - benoit.vanderose at unamur.be Beno?t Fr?nay - UNamur / PReCISE - benoit.frenay at unamur.be Julie Henry - UNamur / PReCISE - julie.henry at unamur.be Xavier Devroey - TU Delft / SERG - X.D.M.Devroey at tudelft.nl Call for Papers In the past years, with the development and widespread of digital technologies, everyday life has been profoundly transformed. The general public, as well as specialized audiences, have to face an ever-increasing amount of knowledge and learn new abilities. The EASEAI workshop addresses that challenge by looking at software engineering, education, and artificial intelligence research fields to explore how these fields can cross-fertilize and benefit from each other. Specifically, this workshop brings together researchers, teachers, and practitioners who use advanced software engineering tools (such as software development tools and methods, productivity tools, software inspection and analysis tools, automated testing techniques, etc.) and artificial intelligence techniques in the education field as well as researchers and teachers in education science who tackle how to improve awareness regarding digital technologies through a transgenerational and transdisciplinary range of students. Topics of Interest Topics include, but are not limited to: o New and unexpected usage of established software engineering practices in education environments. o Integration of agile methods principles in education environments. o Integration of software quality standards and methods dedicated to continuous improvement in education environments. o Application to serious game and gamification in the context of education. o Advances in automated grading of assignments. o Advances in automated feedback and recommendations to provide support to students. o Visualization of technical and/or scientific information in various fields (chemistry, software engineering, physics, history, sociology, etc.). o Efforts related to the improvement of usability of advanced tools for non experienced users. o Dropout prediction in learning environments using machine learning. o Feedback on case studies using cutting edge techniques, methods, and tools applied to educational environments. o Improvement of computational thinking skills and digital literacy through software engineering. o Integration of software engineering and artificial intelligence research into teaching and training. o Introduction to artificial intelligence and machine learning principles for younger audiences. Types of Submissions We invite original papers in the conference format (two columnsACM sigconf publication format ) describing positions and new ideas (short papers up to 4 pages) as well as new results and reporting on innovative approaches (long papers up to 8 pages). All accepted papers will be published in the ACM digital library, together with the other ESEC/FSE 2019 workshops proceedings. The review process is single-blind. Each contribution will be reviewed by at least three members of the programme committee. The workshop also welcomes presentations of previously peer-reviewed published papers. We will invite authors to submit a one-page extended abstract that will not be included in the proceedings. As previously published papers have been already reviewed and accepted, they will not be reviewed again for technical content. If needed, the presentations propositions will be prioritized, based on the content and structure of the sessions. Important Dates * Submission of full papers: June 7th, 2019 * Notification of acceptance: June 24th, 2019 * Camera Ready: July 1st, 2019 * Workshop date: August 26th, 2019 Submission Site Submissions will be handled via EasyChair:https://easychair.org/conferences/?conf=easeai2019 -- Beno?t FR?NAY Associate Professor Faculty of Computer Science T. +32 (0)81 724 976 (secr. 725 252) F. +32 (0)81 724 967 benoit.frenay at unamur.be Universit? de Namur ASBL Rue de Bruxelles 61 - 5000 Namur Let?s respect the environment together. Only print this message if necessary! -------------- next part -------------- An HTML attachment was scrubbed... URL: From djork-arne.clevert at bayer.com Wed May 22 16:46:45 2019 From: djork-arne.clevert at bayer.com (Djork-Arne Clevert) Date: Wed, 22 May 2019 20:46:45 +0000 Subject: Connectionists: Position / Machine Learning for Drug Discovery Message-ID: We are looking for highly creative and motivated Research Scientist with strong expertise in deep learning and computational life science to enrich our machine learning research group in Berlin, Germany. The position will be advertised within the EU-funded Innovative Medicines Initiative (IMI) project MELLODDY. With MELLODDY, ten leading European biopharmaceutical companies have come together to exchange their research data in a privacy preserving matter to improve the predictive performance of their machine learning models by federated learning. The position will involve research in direct collaboration with scientists from toxicology, medicinal chemistry, high-throughput image analysis, computer scientists, as well as leading European research groups in both academia and industry. The successful applicant will be part of a cross-organizational team, applying deep learning within the R&D organization on our existing big data sets. She / he will contribute to the implementation of a deep learning platform providing impact on drug discovery and will be responsible for developing, testing and continually improving deep learning methods to predict properties of novel molecules (e.g. drug toxicity, assay bioactivity). YOUR TASKS AND RESPONSIBILITIES * Active member of a highly interdisciplinary and cross-organizational and cross-corporate team, including scientists from multiple European Pharma companies * Contribute to the implementation and evaluation of a deep learning platform to leverage data in computational chemistry, pharmacokinetics, and toxicology * Extensively validate and further improve the deep learning platform for various property predictions of drug development compounds * Research, design, and implement deep learning algorithms for analysis problems related to prediction of properties of small molecules and proteomic data * Generate direct impact on our discovery projects to help patients * The position is within the Machine Learning Research department, located in Berlin * The applicants are expected to start July 2019 * The fix-term position is limited for 36 months WHO YOU ARE * PhD degree in bioinformatics, computational biology or chemistry, computer science or related fields and a solid background in chemistry, biology and machine learning * Profound experience with state-of-the-art machine learning methods (e.g. graph convolution, representation learning, multitask learning) and model selection concepts is an imperative prerequisite * Excellent programming skills in Python (PyTorch or TensorFlow, RDKit) are essential, additional skills in R, or C++ would be of advantage. Proficiency in writing clean, fast, idiomatic Python code. * Expertise in handling, processing, integrating and analyzing data sets related to research in the pharmaceutical industry * You are a highly creative person with outstanding problem-solving ability and the willingness to undertake challenging analysis tasks * Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively both independently and in cross-functional teams * Willingness to travel between research sites * Oral and written proficiency in English is mandatory Dr. Djork-Arn? Clevert Head of Machine Learning Research, Director //////////////////// Bayer AG Research & Development, Pharmaceuticals Machine Learning Research M?llerstr. 178, Building S190/328 13353 Berlin, Germany Phone: +49 30 468 196745 E-mail: djork-arne.clevert at bayer.com Web: http://www.bayer.com /// Vorstand: Werner Baumann, Vorsitzender | Liam Condon, Hartmut Klusik, Kemal Malik, Wolfgang Nickl, Stefan Oelrich, Heiko Schipper /// Vorsitzender des Aufsichtsrats: Werner Wenning /// Sitz der Gesellschaft: Leverkusen | Amtsgericht K?ln, HRB 48248 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Nicolas.Rougier at inria.fr Thu May 23 04:58:23 2019 From: Nicolas.Rougier at inria.fr (Nicolas Rougier) Date: Thu, 23 May 2019 10:58:23 +0200 Subject: Connectionists: ReScience C : special issue on 2019 ICLR Reproducibility Challenge in machine learning Message-ID: Dear all, It?s my great pleasure to announce that selected papers from the 2019 ICLR Reproducibility Challenge in machine learning (coordinated by J.Pineau) have been published in ReScience C and are freely accessible at: ReScience C, volume 5, issue 2 (2019), ICLR Reproducibility Challenge 2019 https://rescience.github.io/read/#volume-5-2019. If you?re interested in organizing a challenge or editing a special issue, feel free to contact me. Nicolas Rougier, ReScience C editor-in-chief. From v.steuber at herts.ac.uk Thu May 23 07:42:23 2019 From: v.steuber at herts.ac.uk (Volker Steuber) Date: Thu, 23 May 2019 11:42:23 +0000 Subject: Connectionists: PhD Positions in Computational Neuroscience at the University of Hertfordshire Message-ID: PhD Positions in Computational Neuroscience Biocomputation Research Group Centre for Computer Science and Informatics Research University of Hertfordshire UK Applications are invited for PhD positions in the Biocomputation Research Group at the University of Hertfordshire. Projects involve the development and simulation of models of neurons and neuronal networks to study information processing in the brain and /or the application of machine learning techniques for the analysis of neural data. A description of our research interests and a list of publications can be found on our webpage (http://biocomputation.herts.ac.uk/).? Applicants should have excellent computational and numerical skills and a very good first degree in computer science, biology, maths, physics, neuroscience, or a related discipline. Successful candidates are eligible for a research studentship award from the University (GBP 15,009 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible. Research in Computer Science at the University of Hertfordshire has been recognised as excellent in the latest Research Excellence Framework Assessment, with 50% of the research submitted rated as internationally excellent or world leading. The Centre for Computer Science and Informatics Research provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London.? Please contact Dr Volker Steuber for informal enquiries. Application forms are available under http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research/the-phd-programme-in-computer-science and should be returned to [https://www.herts.ac.uk/__data/assets/image/0016/203434/uhsociallogo.png] The PhD Programme in Computer Science See a list of exciting research topics www.herts.ac.uk Lynette Spelman and Emma Thorogood Research Student Administrators University of Hertfordshire College Lane Hatfield, Herts AL10 9AB tel: +44 (0)1707 286083 doctoralcollegeadmissions at herts.ac.uk The short-listing process will begin on 1 July 2019. -------------- next part -------------- An HTML attachment was scrubbed... URL: From tony.pipe at brl.ac.uk Thu May 23 11:37:26 2019 From: tony.pipe at brl.ac.uk (Tony Pipe) Date: Thu, 23 May 2019 15:37:26 +0000 Subject: Connectionists: Senior Research Fellow in Simulation for Safety Assurance In-Reply-To: References: <35ccac3d-bd2e-d705-ff42-b6e9267e685d@brl.ac.uk> <9d584535-6135-7703-106f-0eb85bd11695@brl.ac.uk> <8425dbb3-796a-e96e-155f-659462cf14b3@brl.ac.uk> <9012577d-d913-0b40-63b5-259851d593d2@brl.ac.uk> <0d4bedb8-ed61-f8e2-a5b8-22e668e2f9d7@brl.ac.uk> <9ef4410e-6f17-c652-0bc8-353d431192c3@brl.ac.uk> <561f1621-a5bc-c380-18f2-f92dc7d97019@brl.ac.uk> <861773d9-3cc6-0979-d0bc-65f73cdc5009@brl.ac.uk> Message-ID: Senior Research Fellow in Simulation for Safety Assurance Full Description of post at: https://www.jobs.ac.uk/job/BSK872/senior-research-fellow-in-simulation-for-safety-assurance Location:????????????? Bristol Salary:????????????????? ?39,609 to ?50,132 Hours:????????????????? Full Time Contract Type:????? Permanent Closes:???????????????? 26th June 2019 Job Ref:??????????????? R00143 About you: Working with Robotics and Autonomous Systems, you will develop new concepts and conduct research individually or by leading a part of the large team working in this area to achieve the laboratory objectives expressed above, including programming the simulation and associated Virtual Reality facilities, identifying sources of funding and contributing to the process of securing funds. To achieve this, you will extend, transform and apply knowledge acquired from scholarship to research and development activities in the context of externally and internally funded projects in the RAS domain. You will make two main, safety related, contributions to a range of safety-critical RAS projects operating now and in the future at BRL. You will do this by making your own technical contributions, leading the activities of other more junior researchers, and by collaborating with the related local communities, such as the Bristol VR Laboratory and the South West Creative Network. First, you will build on expertise developed in collaboration with researchers at the University of Bristol during previous RAS projects, to develop and implement simulations of a RAS device operating in a selected set of environmental conditions, which may need to include hardware and/or humans 'in the loop'. Using such a simulation, you will design and implement scenarios that stretch the sensor and/or control systems of the chosen RAS device and, where it is important to do so, test human participants' reactions to selected scenarios. Clearly, using simulation, these situations can be much more easily varied in a known way so as to achieve more critical settings than those which can safely be tested in the real world. Thus, you will develop and utilise simulation platforms, each tailored to an application domain, to discover and then investigate the most safety-critical situations, also known as the 'corner cases'. Often, these are the cases that need to be tested in the real-world. Thus, simulation will be used to guide the nature of expensive and risky real-world testing so as to minimise their number and to maximise their benefit in validating the RAS. Second, having established the nature and detail of the real-world test environments and requirements of the real-world experiments themselves, you will carry out risk assessments that build towards safety cases for the identified real-world experiments to be conducted. Thus, the safety and appropriateness of the sensor-perception pipeline and control system of the RAS device under test will be verified and validated. Where relevant, this will also help to evaluate its overall acceptability to any human interactants. About the role: This is a permanent and full time vacancy.? In some Robotics and Autonomous Systems (RAS) application domains, research and development is maturing rapidly. In such environments, the ability to bring about assurances for maintaining safety whilst providing useful service is becoming paramount. Critically, these assurances must be accepted by regulators as underpinning a legally governable process, without which, they will never get to market. Bristol Robotics Laboratory is engaged in a number of projects with exactly this primary aim, currently focused on the introduction of Connected Autonomous Vehicle technology, one of the most rapidly maturing domains. However, this is widely regarded as being just the beginning of a much wider future engagement in RAS technology development, i.e., it seems extremely likely that these issues will be shared by a very wide range of RAS device applications, ranging from robot surgery, through home assistance, to human-robot manufacturing teams. About us: Bristol Robotics Laboratory (BRL) is the most comprehensive academic centre for multi-disciplinary robotics research in the UK. It is a collaborative partnership between the University of the West of England (UWE Bristol) and the University of Bristol, and home to a vibrant community of over 250 academics, researchers and industry practitioners. Together, they are world leaders in current thinking on service robotics, intelligent autonomous systems and bio-engineering. The state-of-the-art facilities covers an area of over 3,500 sq. metres (over 37,000 sq. feet) and BRL is an internationally recognised Centre of Excellence in Robotics. The interviews are planned for last week in July or first week in August 2019. -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 From tony.pipe at brl.ac.uk Thu May 23 11:29:33 2019 From: tony.pipe at brl.ac.uk (Tony Pipe) Date: Thu, 23 May 2019 15:29:33 +0000 Subject: Connectionists: Research Fellow in Connected Autonomous Vehicle Simulation for Safety Assurance In-Reply-To: <861773d9-3cc6-0979-d0bc-65f73cdc5009@brl.ac.uk> References: <35ccac3d-bd2e-d705-ff42-b6e9267e685d@brl.ac.uk> <9d584535-6135-7703-106f-0eb85bd11695@brl.ac.uk> <8425dbb3-796a-e96e-155f-659462cf14b3@brl.ac.uk> <9012577d-d913-0b40-63b5-259851d593d2@brl.ac.uk> <0d4bedb8-ed61-f8e2-a5b8-22e668e2f9d7@brl.ac.uk> <9ef4410e-6f17-c652-0bc8-353d431192c3@brl.ac.uk> <561f1621-a5bc-c380-18f2-f92dc7d97019@brl.ac.uk> <861773d9-3cc6-0979-d0bc-65f73cdc5009@brl.ac.uk> Message-ID: Research Fellow in Connected Autonomous Vehicle Simulation for Safety Assurance Full Description of post at: https://www.jobs.ac.uk/job/BSG701/research-fellow-in-connected-autonomous-vehicle-simulation-for-safety-assurance Location: ??????????? Bristol, UK Salary: ??????????????? ?33,199 to ?39,609 Hours: ??????????????? Full Time Contract Type: ??? Fixed-Term/Contract for 24 months Closes: ?????????????? 19th June 2019 Job Ref: ?????????????? R00131 Bristol Robotics Laboratory (BRL) is the most comprehensive academic centre for multi-disciplinary robotics research in the UK. It is a collaborative partnership between the University of the West of England (UWE Bristol) and the University of Bristol, and home to a vibrant community of over 250 academics, researchers and industry practitioners. Together, they are world leaders in current thinking on service robotics, intelligent autonomous systems and bio-engineering. The state-of-the-art facilities covers an area of over 3,500 sq. metres (over 37,000 sq. feet) and BRL is an internationally recognised Centre of Excellence in Robotics. The primary mission of BRL is to understand the science, engineering and social role of robotics and embedded intelligence. In particular, the key challenges surrounding adaptive robotics, namely: dealing with people and their unpredictability, unstructured and uncertain environments, and equipping robots for flexible roles. BRL is a unique collaboration that harnesses the collective strengths of its partners to spearhead Britain's efforts to be a world leader in modern advanced robotics. This Innovate UK funded Connected Autonomous Vehicles (CAV) project is motivated by the opportunity to gain significant socioeconomic benefit in the Public Service Vehicle sector by automation of a bus service. The prime objective of the project, therefore, is to evaluate a commercially operational extended pilot service involving buses that will be either partially or fully autonomously (with supervision) over a 10-mile route, taking passengers across the Forth Bridge near Edinburgh. Bristol Robotics Laboratory researchers will make two main, safety related, contributions to the project. First, we will build on expertise developed in collaboration with researchers at the University of Bristol during previous Connected Autonomous Vehicle (CAV) projects, to develop a simulation of the route using state-of-the-art vehicle simulator software and hardware. Using this simulation, we can design scenarios that stretch the vehicle's sensor and/or control systems and, where it is important to do so, test human participants' reactions to selected scenarios. Clearly these situations can be much more easily varied in a known way so as to achieve more critical settings than those which can safely be tested in the real world. Second, we will carry out risk assessments that build towards safety cases for real-world experiments to be conducted using the bus, with critical findings from simulation guiding the nature and detail of the test environments and the experiments themselves. Thus, we will verify and validate the safety of the bus control system, as well as helping to evaluate its acceptability overall. Although there will be significant interaction with those at BRL and others working on the CAV-Forth project, this position is focused predominantly on the first of the contributions outlined above, i.e., on developing and using the simulation platform to investigate and discover the, so called, 'corner cases' (the most safety-critical situations) that need to be tested in the real-world, and to carry out simulator-based tests with participants. Thus, we will guide the focus for, and maximise the benefits from, the expensive and risky real-world testing to be carried out prior to implementing the 10-mile pilot driving route. To achieve this, you will utilise the results of recent research, carried out in Bristol, on simulation-based verification and validation techniques for autonomous vehicles. You will focus, in collaboration with the CAV-Forth partners, on a variety of autonomy functions and use case scenarios. This is a full time, fixed term contract for 24 months. The interviews are planned for Friday 28th June 2019. On 22/01/2019 09:56, Tony Pipe wrote: > Professor of Robotics: Provably Safe Human-Robot Interaction > > Full Description of post at: > > https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTc4NTcxNiZ2dF90ZW1wbGF0ZT0xNTM4Jm93bmVyPTUwNTUyNzgmb3duZXJ0eXBlPWZhaXImYnJhbmRfaWQ9MCZvY2NfY29kZT04ODQzJnZhY194dHJhNTA1NTI3OC4zXzUwNTUyNzg9MjAyNTA1JnBvc3RpbmdfY29kZT00OTc= > > > Duration of post: Permanent > Closing Date: 12 Feb 2019 > Salary: ?62,420 - ?90,130 > > The Bristol Robotics Laboratory at the Faculty of Environment & > Technology have an exciting permanent and full time position for a > Professor of Provably Safe Human-Robot Interaction to join BRL within > the Engineering, Design & Mathematics Department. > > As the state of robotics and physically instantiated autonomous > systems matures there is increasing emphasis on robot systems being > removed from their historically isolated manufacturing automation > domains, so that they can work with and amongst us to enhance our > quality of life. Although there is no fully accepted term that defines > this type of robot, here we refer to this as a 'service' robot. > > These developments are gaining pace and so issues of safety, > usefulness and trustworthiness are becoming paramount for robot > devices that will operate in close proximity to human beings, or > costly and easily damaged items. Fundamentally, it is very difficult > to imagine such devices either being socially acceptable or getting to > market without convincing certification arguments that will be > dependent on guarantees of their safety and usefulness, both of which > are essential components of trustworthiness. Therefore, a very > thorough investigation into the criteria required to guarantee safety, > including methods for its assessment, is necessary and timely, in > order for the outcomes of this investigation to inform standards that > are, in turn, used by regulators to deliver a process for product > certification. > > Although the application foci for this post are not restricted, and > certainly encompass all of the 'dirty, dull and dangerous' domains, > two exemplar areas of particular interest currently to the Bristol > Robotics Laboratory, where such issues are rapidly becoming > 'centre-stage', are Connected Autonomous Vehicles, where the vehicle > can be viewed as a kind of robot that users get into, and robot care > for older adults or the infirm, often termed 'Assisted Living'. > > However, regardless of the application domain, the holder of this post > will need to consider two main factors, both of which are inherent to > the overall challenge of delivering a safe, useful and trustworthy > robot service to the user. These two complementary aspects together > encompass physical and behavioural aspects, i.e., respectively: i) the > verification and validation processes that result in a guarantee that > the system is designed and implemented correctly and; ii) the > psychologically-driven contextually appropriate behaviour of the robot > when working in and around people. A successful applicant to this post > should, therefore, already possess in-depth expertise in one or both > of these itemised topics. > > Although the two exemplar applications given above may be typical of > the domains to be focused on initially, the holder of this post will > be expected to work with others in the BRL to investigate the > appropriateness and benefits of also using the developed methods in > other domains, e.g., in immersive teleoperation for shared control in > robot-assisted surgery and robotics for nuclear decommissioning. > > We welcome applications from gifted researchers from strongly linked > disciplines who are fully committed to developing one or more of the > areas of research outlined above. Those applicants, who are willing to > exploit the full innovation pipeline via our extensive in-house > business incubator facilities, as well as undertaking fundamental > research, will be viewed especially favourably. > > The interviews are planned for Friday 15th March 2019. > -- Tony Pipe Professor of Robotics and Autonomous Systems Deputy Director: Bristol Robotics Laboratory Bristol Robotics Laboratory T-Building Frenchay Campus Bristol UK BS16 1QY Tel: +44 (0)117 3286330 From daniel.polani at gmail.com Thu May 23 12:20:39 2019 From: daniel.polani at gmail.com (Daniel Polani) Date: Thu, 23 May 2019 17:20:39 +0100 Subject: Connectionists: Methods for Biologically Inspired Generic Artificial Intelligence and Robotics Message-ID: ///////////////////////////////////////////////////////////////////// PhD Studentships Available on METHODS FOR BIOLOGICALLY INSPIRED GENERIC ARTIFICIAL INTELLIGENCE AND ROBOTICS Adaptive Systems Research Group School of Computer Science University of Hertfordshire, UK Contact: Daniel Polani (d.polani at herts.ac.uk) ///////////////////////////////////////////////////////////////////// The Research We invite applications for PhD studentships in the Adaptive Systems Research Group at the University of Hertfordshire to investigate biologically inspired and generic approaches to Artificial Intelligence, with applications to Robotics. We particularly focus on information-theoretic methods to study cognitive modelling, decision-making, feature extraction, robust and flexible control, embodiment, intrinsic and "altruistic" motivation models, and generalization. Also questions of origin of life and cognition from first principles, and emergence of complexity and self-organization are being explored. The prospective candidates should have a very strong first degree; a keen interest in delving into and contributing to a fresh and fast-moving research area; and an outstanding background in Computer Science, Computational/Cognitive Robotics, Physics, Mathematics, Statistics or another relevant computational/quantitative discipline. In particular, they should demonstrate excellent programming skills in at least one major computer language. A mathematical/numerical background would be highly desirable. Knowledge in at least one of the following fields would be a plus: probability theory, information theory, differential geometry, control, dynamical systems, data modelling/neural network techniques. The envisaged research will take place in the vibrant and enterprising environment of the Adaptive Systems Research Group in the School of Computer Science at the University of Hertfordshire; there will also be the opportunity to collaborate with the School's successful humanoid robot RoboCup team, the Bold Hearts. ////////////////////////////////////////////////////////////////////// The School The school offers a large number of specialized and interdisciplinary seminars as well as general training opportunities. Research in Computer Science at the University of Hertfordshire has been recognized as excellent by the latest Research Assessment Exercise, with 50% of the research submitted being rated as internationally excellent or world leading. The University of Hertfordshire provides a very stimulating environment, offering a large number of specialised and interdisciplinary seminars as well as general training and researcher development opportunities. The University is situated in Hatfield, in the green belt just north of London. Hatfield is close to Central London (less than 25 minutes by direct train to Kings Cross), with convenient access to Stansted, Luton and Heathrow airports, and, via the nearby historic town of St. Albans, also to Gatwick airport. A limited number of studentships are available for exceptional candidates in particular areas (?15,009 per annum bursary plus the payment of the student fees). Applicants from outside the UK or EU are eligible. Closing date for application is the 1. July 2019, though excellent applications may be considered after that date. For informal inquiries on the research topic please contact: Dr. Daniel Polani (E-mail: d.polani at herts.ac.uk) //////////////////////////////////////////////////////////////////////// The Application To apply, download the application form from: https://www.herts.ac.uk/__data/assets/pdf_file/0010/31105/uh-application-form.pdf or from the link under "How to Apply" at the website: https://www.herts.ac.uk/study/schools-of-study/computer-science/our-research/the-phd-programme-in-computer-science Please note: You must download the application form to your computer before you complete it. If you complete the form in the browser window, the information you have entered may be lost when the form is saved. The application form should be returned to: Lynette Spelman and Emma Thorogood Research Student Administrators University of Hertfordshire College Lane Hatfield, Herts AL10 9AB tel: +44 (0)1707 286083 doctoralcollegeadmissions at herts.ac.uk Applications should also include two references and transcripts of previous academic degrees. We accept applications for self-funded places throughout the year. The next short-listing process for studentship applications will begin on 1 July 2019. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dlinnlp at gmail.com Thu May 23 16:30:51 2019 From: dlinnlp at gmail.com (Slavi Slavov) Date: Thu, 23 May 2019 23:30:51 +0300 Subject: Connectionists: RANLP 2019 last Call for Papers Message-ID: *** RANLP 2019 last Call for Papers *** This is the last call for submitting regular, short and poster papers to RANLP 2019 for which the deadline is 27 May 2019. All information about the conference and the submission guidelines can be found on the RANLP2019 website here ( http://lml.bas.bg/ranlp2019/start.php) You can contact us on ranlp2019 at lml.bas.bg Twitter: @ranlp2019 Facebook: https://www.facebook.com/groups/RANLP/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Thu May 23 16:43:34 2019 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 23 May 2019 13:43:34 -0700 Subject: Connectionists: NEURAL COMPUTATION - June 1, 2019 In-Reply-To: Message-ID: Neural Computation - Volume 31, Number 6 - June 1, 2019 Available online for download now: http://www.mitpressjournals.org/toc/neco/31/6 http://cognet.mit.edu/content/neural-computation Article Quantifying Information Conveyed by Large Neural Populations John Berkowitz, Tatyana Sharpee Letters Controlling Complexity of Cerebral Cortex Simulations: I CxSystem, a Flexible Cortical Simulation Framework Vafa Andalibi, Henri Hokkanen, and Simo Vanni Controlling Complexity of Cerebral Cortex Simulations: II Streamlined Microcircuits Henri Hokkanen, Vafa Andalibi, and Simo Vanni Decoding Movements From Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network Po-He Tseng, Nuria Armengol Urpi, Mikhail Lebedev, and Miguel Nicolelis Asynchronous Event-Based Motion Processing: >From Visual Events to Probabilistic Sensory Representation Mina A. Khoei, Sio-Hoi Ieng, and Ryad Benosman A Geometrical Analysis of Global Stability in Trained Feedback Networks Francesca Mastrogiuseppe, Srdjan Ostojic Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data Suwa Xu, Bochao Jia, and Faming Liang Improving Anti-noise Ability of DNNs via a Bio-inspired Noise Adaptive Activation Function Rand Softplus Yunhua Chen, Yingchao Mai, Jingshen Xiao, and Ling Zhang ------------ 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 lpulina at uniss.it Fri May 24 10:04:14 2019 From: lpulina at uniss.it (Luca Pulina) Date: Fri, 24 May 2019 16:04:14 +0200 Subject: Connectionists: Call for Participation - CPS Summer School 2019 Message-ID: [apologies if you receive multiple copies of this message] ------------------------------------------------------------------------------ CPS Summer School 2019 Designing Cyber-Physical Systems ? From concepts to implementation Porto Conte Ricerche - Alghero - Sardinia - Italy September 23-27, 2019 http://www.cpsschool.eu ------------------------------------------------------------------------------ Cyber-physical systems (CPS) are complex and autonomous ensembles of different components that interact to offer smart and adaptive functionalities. These systems are increasingly used in a variety of applications with a growing market, potentially bringing about significant social benefits. However, there is no such thing as a free lunch, and there area several new challenges and trade-offs to face when designing CPS, especially since they should be able to adapt to the changing environments, or heal themselves. Uncertain operation environments and interactions with humans as users and/or as operators complicate the scenarios of these ever increasingly pervasive systems. The CPS summer school is targeted at students, research scientists, and R&D experts from academia and industry, who want to learn about CPS engineering and applications. The program is composed of both lectures and practical sessions, covering all the design phases of CPS (i.e., from concept to the definition of the final system and the discussion of the key challenges). Topics (http://www.cpsschool.eu/program/) include, but are not limited to, the following: - Market trends for CPS - Hardware/software and multi-view modelling - Adaptivity - Low power design of heterogeneous systems - Tools for dataflow design, high-level synthesis, hardware/software co-design, and coarse/fine reconfiguration Application and Registration (http://www.cpsschool.eu/application/) The school is open to up to 40 participants. Application deadline: June 10, 2019. Notification deadline: June 15, 2019. Confirmed Speakers (http://www.cpsschool.eu/confirmed-speakers/) include the following lecturers: - Davide Ariu, PluribusOne, Cagliari (Italy) - Luca Carloni - Columbia University, New York City (USA) - Luigia Carlucci Aiello, La Sapienza University, Rome (Italy) - Jeronimo Castrillon, Technische Universit?t Dresden, Dresden (Germany) - Nuria de Lama, Vice-Secretary General (BDVA) and European Programs Manager (Atos) - Nikil Dutt - University of California, Irvine (USA) - Giovanni Pruneddu - University of Sassari, Sassari (Italy) - Alberto Sangiovanni-Vincentelli - University of California, Berkeley (USA) - Armando Tacchella - University of Genova, Genova (Italy) Organization Francesca Palumbo, Universit? degli Studi di Sassari (ITA) [School Director, fpalumbo at uniss.it] Christian Pilato, Politecnico di Milano (ITA) Luca Pulina, Universit? degli Studi di Sassari (ITA) Carlo Sau, Universit? degli Studi di Cagliari (ITA) -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From s.ramamoorthy at ed.ac.uk Fri May 24 12:01:53 2019 From: s.ramamoorthy at ed.ac.uk (Subramanian Ramamoorthy) Date: Fri, 24 May 2019 17:01:53 +0100 Subject: Connectionists: CfP: Robust Artificial Intelligence for Neurorobotics (RAI-NR) Workshop Message-ID: <20190524170153.63871s3t4po5xg74@www.staffmail.ed.ac.uk> We invite contributions to the workshop on Robust Artificial Intelligence for Neurorobotics (RAI-NR), to be held in Edinburgh, UK, between 26-28 August 2019. Aim and scope ============= This meeting aims at bringing together researchers from neural computation, machine learning and robotics, to explore key issues that must be addressed along the path to more flexible and capable robots. These issues include reliability, safety and resource efficiency. So, we will have debate and discussion on the question of how emerging neural network and other neuromorphic technologies could address these requirements in realistic applications. Robotics brings stringent constraints on size, weight and power constraints, which challenges the developers of these technologies in new ways. Equally, the fact that learning and adaptation might happen on a real physical platform implies a significantly greater emphasis on ensuring safety and rendering automated decisions verifiable and explainable. We invite contributions addressing the following themes, and allied topics: - Robotics and Robot Learning: How are neural network based methods and neuromorphic design principles driving advances in robotics? - Systems for AI: How are new advances in neurally inspired computing and electronic sensing hardware enabling these advances? - Safety, verification and explainability: How are we developing the new techniques required to ensure the safety of learning, perception and control in real world settings? - Neuroscience of perception and action: How do perspectives on how animals/humans solve problems help guide advances in robotics? Invited speakers ================ Prof. Dr. Wolfgang Maass, Institut fuer Grundlagen der Informationsverarbeitung, Technische Universitaet Graz, Austria Prof. Chris Eliasmith, Centre for Theoretical Neuroscience, University of Waterloo, Canada Dr.ir. Johan Kwisthout, Donders Centre for Cognition, Nijmegen, The Netherlands, Dr. Rosalyn J. Moran, Institute of Psychiatry, Psychology and Neuroscience, King?s College London, UK Prof. Steve Furber, School of Computer Science, The University of Manchester, UK Prof. Giacomo Indiveri, Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland Dr. Ashish Kapoor, Microsoft Research, Redmond, USA Prof. Martin Vechev, Department of Computer Science, ETHZ Zurich, Switzerland Dr. Yulia Sandamirskaya, Institute of Neuroinformatics, UZH / ETH Zurich, Switzerland Dr. Janos Rohaly, GelSight, Inc., USA Contribution Tracks =================== We invite contributions that will fall under one of the following two categories, both of which will be considered for presentation at the workshop. (1) Original contributions: Previously unpulished and novel work on the above topics. These will be papers of up to 6 pages formatted following guidelines at https://blogs.ed.ac.uk/rai-nr/author-information/, which will go through a quick round of peer review by the program committee. Subsequently, after the workshop, the authors of these contributions will be invited to contribute to a Research Topics special issue in the journal Frontiers in Neurorobotics. (2) Previously published contributions: Authors who wish to present work that has been previously published in peer reviewed venues are invited to submit a copy of that publication for consideration by the RAI-NR Workshop Program Committee. Key Dates and Website ===================== https://blogs.ed.ac.uk/rai-nr/ Extended abstract submission: 21 June 2019 Workshop registration: 29 July 2019 Confirmation of Attendance: 12 August 2019 Workshop: 26-28 August 2019 Program Committee Chairs ======================== Dr Joseph Hays - Naval Research Laboratory, USA Dr Subramanian Ramamoorthy - The University of Edinburgh, UK Dr. Christian Tetzlaff - Bernstein Center for Computational Neuroscience, Germany Sponsorship =========== This workshop is funded by a grant from the US Office of Naval Research through their Global office in London (ONR-G), and also supported by an Alan Turing Institute Fellowship and Sponsored Project on Safety-critical Artificial Intelligence. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From lpulina at uniss.it Fri May 24 10:17:50 2019 From: lpulina at uniss.it (Luca Pulina) Date: Fri, 24 May 2019 16:17:50 +0200 Subject: Connectionists: Call for Papers - 2nd PhD Workshop on Cyber-Physical Systems Message-ID: <2015e963-d3c9-b1ad-c00f-4c948644fc19@uniss.it> [apologies if you receive multiple copies of this message] ------------------------------------------------------------------------------ 2nd PhD Workshop on Cyber-Physical Systems Porto Conte Ricerche - Alghero - Sardinia - Italy September 23, 2019 http://www.cpsschool.eu/cps-workshop/ ------------------------------------------------------------------------------ The PhD Workshop on Cyber-Physical Systems (CPS) is an initiative of the CPS Summer School community to offer participants a close contact with leading experts on the field,? as well as the opportunity to present and discuss their ideas in a dynamic and friendly setting. We invite PhD students to submit papers describing their research on any of the topics of interest of the school. Topics of Interest Models, methods, tools, and architectures for CPS Testing, modelling, and validation of CPS Verification and formal methods for CPS Intelligent methods and algorithms for CPS Reactive and real-time systems Reconfigurable and self-aware systems On-line monitoring and management of CPS Security, trust and dependability of CPS Examples of CPS applications Submission The submissions should contain a description of the problem being addressed, your motivation for addressing the problem, proposed plan of research, the progress to date (what you have already achieved and what remains to be done), and related work. The accepted papers will be presented during the evening on the September 23th to an interested audience and will be discussed with a panel of senior researchers from academia and the industry. Participants will present their work with brief oral presentations and poster session. Papers are expected to be 6-10 pages (excluding references), written in English following the LNCS format and submitted electronically in PDF format via EasyChair (https://easychair.org/conferences/?conf=cpsws19). Important deadlines Submission by 21 June 2019 Notification by 28 June 2019 Camera-ready by 5 July 2019 Proceedings Accepted papers will be published online as part of CEUR- WS Proceedings, which are broadly indexed, e.g., by SCOPUS and listed in standard bibliographic databases such as DBLP. N.B. Papers accepted will only be included in the published Proceedings under the condition that at least one author attend the workshop to present it. Fees Workshop only: 30 ? for PhD student, and 50 ? for others. Workshop Chair Luca Pulina, University of Sassari -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 From george at cs.ucy.ac.cy Fri May 24 07:45:09 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Fri, 24 May 2019 14:45:09 +0300 Subject: Connectionists: 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020): Second Call for Papers In-Reply-To: References: Message-ID: *** Second Call for Papers *** 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020) Atlantica Miramare 4* Beach Hotel, Limassol, Cyprus January 20-24, 2020 http://cyprusconferences.org/sofsem2020/ *** Submission Deadline: July 29, 2019 *** (Proceedings to be published by Springer) INVITED SPEAKERS (list incomplete) ? Mikolaj Bojanczyk, Poland ? Erol Gelenbe, UK ? Gunnar Klau, Germany ? Elias Koutsoupias, UK SOFSEM (SOFtware SEMinar) is an annual international winter conference devoted to the theory and practice of computer science. The first SOFSEM was organized in 1974. SOFSEM consists of invited talks by prominent researchers, of contributed talks selected from the submitted papers, and of the Student Research Forum. The program is organized in plenary talks and parallel tracks devoted to original research in the selected research areas. SOFSEM has a long-standing tradition of facilitating discussions and collegial interactions. It is well-known for its familiar and inspiring atmosphere and as a meeting place for active and leading computer scientists. SOFSEM is a track-based conference. It features the traditional track on foundations of computer science and a number of other tracks that cover contemporary important areas, such as artificial intelligence, cryptography, security, verification, data science, knowledge engineering, social computing and human factors, software and web engineering, etc. The Track Chairs are soliciting technical papers for presentation at the conference and inclusion in the proceedings published by Springer in the ARCoSS/LNCS series. The topics of the conference are organised in four tracks and the (non exhaustive) list of topics for each track is as follows: Foundations of Computer Science ? Algorithms and data structures ? Automata and formal languages ? Complexity theory ? Computability theory ? Cryptography and security ? Graphs and networks ? Machine learning ? Non-classical models of computing ? Theory of databases, semi-structured data, and finite model theory ? Theory of programming languages Foundations of Software Engineering ? Methods and tools for improved software processes ? Software architecture of complex software-intensive systems ? Requirements Engineering ? Model-based software engineering methods and tools ? Data-driven improvement of methods, models, and tools ? Methods and tools for software engineering applications ? Empirical Software Engineering Foundations of Data Science ? Data Models and Query Languages ? Data Integration and Interoperability ? Query Processing and Optimization ? Distributed, Parallel, and P2P Data Processing and Management ? Data Semantics and Linked Data ? Spatial, Temporal, Multimedia Data ? Web- and Graph-based Data ? Probabilistic and Uncertain Data ? Information Extraction and Retrieval ? Data Privacy, Security, and Trust Foundations of Algorithmic Computational Biology ? Alignment and assembly of sequences ? Biological networks ? Cancer genomics ? Comparative genomics ? Gene expression ? Phylogenetics ? Sequence analysis ? System biology PAPER SUBMISSION Detailed guidelines for submission will appear shortly on the conference web site (https://cyprusconferences.org/sofsem2020/). Papers must be submitted electronically via Easychair in standard Springer format (max 12 pages). Submitted papers will undergo a peer review process. PROCEEDINGS The proceedings will be published by Springer in the ARCoSS/LNCS series. IMPORTANT DATES ? July 29th, 2019: Submission of abstracts ? August 5th, 2019: Submission of full papers ? September 30th, 2019: Notification of Acceptance/Rejection ? November 25th, 2019: Camera Ready Papers, registration deadline ? January 20-24, 2020: Conference Dates ORGANISATION General Chairs ? Yannis Manolopoulos, Open University of Cyprus, Cyprus ? George A. Papadopoulos, University of Cyprus, Cyprus Steering Committee ? Barbara Catania, University of Genova, Italy ? Miroslaw Kutylowski, Wroclaw Uni. of Technology, Poland ? Jan van Leeuwen, Utrecht University, Utrecht, Netherlands ? Tiziana Margaria-Steffen, University of Limerick, Ireland ? Branislav Rovan, Comenius University, Bratislava, Slovakia ? Petr Saloun, Technical University of Ostrava, Czech Republic ? Julius Stuller, Academy of Sciences, Prague, Czech Republic, chair Tracks and Track Chairs ? Foundations of Computer Science: Christos Kapoutsis, Qatar ? Foundations of Data Science: Herodotos Herodotou, Cyprus ? Foundations of Software Engineering, Alexander Chatzigeorgiou, Greece ? Foundations of Algorithmic Computational Biology, Riccardo Dondi, Italy and Florian Sikora, France Student Research Forum Chair ? Theodoros Tzouramanis, Greece Webadmin ? Kyriakos Georgiades, Cyprus -------------- next part -------------- An HTML attachment was scrubbed... URL: From pitas at csd.auth.gr Fri May 24 12:57:15 2019 From: pitas at csd.auth.gr (pitas at csd.auth.gr) Date: Fri, 24 May 2019 19:57:15 +0300 Subject: Connectionists: Call for Papers: Special Issue on Autonomous Driving, IEEE Signal Processing Magazine Message-ID: <005b01d51251$be1e10b0$3a5a3210$@csd.auth.gr> Call for Papers IEEE Signal Processing Society IEEE Signal Processing Magazine Special Issue on Autonomous Driving The integration of advanced sensing, signal processing, artificial intelligence, and controls technologies into vehicles is enabling intelligent automated vehicles that can navigate autonomously in various environments. In particular, autonomous driving and, more generally, automated driving is receiving a growing attention with significantly increasing resources being deployed to enable safe, reliable, and efficient automated mobility in complex uncontrolled real-world environments and for various applications ranging from automated transportation, and farming to public safety and environmental exploration. Signal processing is a critical component of automated driving. Some of the needed enabling technologies include affordable sensing platforms that can acquire useful data under varying environmental conditions, reliable simultaneous localization and mapping, machine learning that can effectively handle varying real-world conditions and unforeseen events, ?machine-learning friendly? signal processing to enable more effective classification and decision making, hardware and software co-design for efficient real-time performance, resilient and robust platforms that can withstand adversarial attacks and failures, and end-to-end system integration of sensing, signal processing, machine learning, and controls. The aim of this special issue is to provide researchers and professionals with high-quality tutorial-style papers addressing the latest advances in the design, development, and deployment of signal processing technologies and systems integrating signal processing components for autonomous and automated driving. A special emphasis will also be devoted to not only cover the current state-of-the-art, but also new and emerging trends. Prospective authors are invited to submit tutorial-style papers on topics related to autonomous and automated driving including but not limited to the following: ? Current and emerging signal processing technologies for automated driving ? Sensing, perception, and vision ? Machine learning, predictive analytics, and decision-making under uncertainty ? Signal processing for enhanced safety, robustness, and fault-tolerance ? Validation, verification, and performance assessment methodologies of sensing and signal processing/computer vision algorithms for autonomous driving ? Cyber-security and privacy-preserving signal processing technologies ? Applications to automated mobility, pick-up and delivery systems, agriculture, energy efficiency and sustainability, and other domains. Prospective authors should submit white papers at https://mc.manuscriptcentral.com/spmag-ieee according to the timetable below. White papers should include a title, list of authors, motivation and significance of the topic to be addressed, a brief summary, an outline of the content and the key references. White papers should be no more than 2 pages in the IEEE single-space double-column format. IEEE article templates can be downloaded at https://ieeeauthorcenter.ieee.org/create-your-ieee-article/use-authoring-tools-and-ieee-article-templates/. Schedule: White paper due: June 1, 2019 Invitation notification: July 1, 2019 Full-length manuscript due: September 1, 2019 First review to authors: November 1, 2019 Revised manuscript due: January 1, 2020 Final acceptance notification: March 1, 2020 Final manuscript due: April 1, 2020 Publication date: July 2020 Guest Editors: Lina Karam, Arizona State University, USA, karam at asu.edu (Lead Guest Editor) Jay Katupitiya, University of New South Wales, Australia, j.katupitiya at unsw.edu.au Vicente Milan?s, Renaut, France, vicente.milanes at renault.com Ioannis Pitas, Aristotle University, Greece, pitas at csd.auth.gr Jieping Ye, Didi Chuxing, China, yejieping at didichuxing.com This special issue is sponsored by the IEEE Autonomous Systems Initiative (ASI) of the IEEE Signal Processing Society. --- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Sat May 25 04:06:18 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Sat, 25 May 2019 11:06:18 +0300 Subject: Connectionists: 23rd Pan-Hellenic Conference on Informatics (PCI 2019): Second Call for Papers In-Reply-To: <52BFE0CA-1718-419F-915B-083C851BD2EA@cs.ucy.ac.cy> References: <52BFE0CA-1718-419F-915B-083C851BD2EA@cs.ucy.ac.cy> Message-ID: *** SECOND CALL FOR PAPERS *** 23rd Pan-Hellenic Conference on Informatics (PCI 2019) University of Nicosia, Nicosia, Cyprus, November 28-30, 2019 http://unic.ac.cy/pci2019 *** Submission Deadline: September 10, 2019 *** *** Proceedings to be published by ACM ICPS (pending approval) *** The University of Nicosia, the University of Cyprus, the Open University Cyprus and the Greek Computer Society organize the 23rd Pan-Hellenic Conference on Informatics (PCI 2019) in Nicosia, Cyprus on November 28-30, 2019. PCI 2019 aims to provide an effective channel of communication among researchers, practitioners, decision-makers and entities concerned with the latest research, scientific development and practice on ICT to discuss current, state-of-the-art topics that are of relevance and significance for national competitiveness as well as for sustainable, robust and equitable regional development. Submissions to PCI 2019 might cover, but are not limited, to the following topics: ? Algorithms & Data Structures ? Artificial Intelligence ? Bioinformatics ? Bio & Nature Inspired Computing ? Blockchain Technologies ? Cloud Computing ? Communication & Information Systems Security and Privacy ? Computational Science ? Computer & Communication Networks ? CRM & ERP Systems ? Databases ? Data Mining ? Digital Libraries ? Digital Systems ? Distributed Computing ? eCommerce, eBusiness, eHealth ? Telecommunication Systems ? Wireless & Mobile Computing ? Learning Technologies ? Graphics, Visualization, Multimedia & Virtual Reality ? Grid, Cluster & P2P Computing ? Hardware & Architecture ? Embedded Systems ? Human-Computer Interaction ? Image and Video Processing ? Information Retrieval ? Information Society: Legal and Regulatory Issues ? Information Systems ? Information Theory ? Knowledge Based Systems ? Numerical & Scientific Computation ? Open Source Software ? Operating Systems ? Parallel & Distributed Systems ? Programming Languages ? Signal Processing ? Software Engineering PCI 2019 encourages the submission of high quality papers with original content in the following tracks: ? Research Paper: full paper (8 pages) describing original and unpublished results of conceptual, empirical, experimental, or theoretical work in all areas of Computer Science. ? Research Project Results: extended abstract (2 pages) presenting the results of funded completed or ongoing research projects at national or European level. ? Industry: extended abstract (2 pages) presenting novel industrial solutions, success stories, and challenges that are encountered in an industry setting when adopting IT technologies. Templates for submissions can be found at the ACM SIG proceedings website: https://www.acm.org/publications/proceedings-template . Papers should be submitted via EasyChair using the following link: https://easychair.org/my/conference?conf=pci2019 . The submitted research papers and extended abstracts will be peer-reviewed on the basis of technical quality, relevance to scope of PCI, originality, significance, and clarity. Note that submitted papers should have neither been published nor submitted for publication elsewhere. The working language of the conference is English and the papers should be written in that language. As in previous years, the final version of the research papers accepted for presentation at PCI 2019 will be published by ACM in the ICPS Series (pending approval) and will be included in the ACM Digital library. The accepted extended abstracts will be allocated either a demo or poster slot during the conference. At least one author of each accepted paper or abstract is expected to register, attend the conference and present their contribution. Important Dates ? Paper submission deadline: September 10, 2019 ? Notification of paper acceptance/rejection: October 17, 2019 ? Submission of camera ready papers: October 24, 2019 ? Author registration: October 24, 2019 Organization General Chairs ? Yannis Manolopoulos, Open University Cyprus, Cyprus ? George Angelos Papadopoulos, University of Cyprus, Cyprus ? Athena Stassopoulou, University of Nicosia, Cyprus Program Chairs ? Ioanna Dionysiou, University of Nicosia, Cyprus ? Ioannis Kyriakides, University of Nicosia, Cyprus ? Nicolas Tsapatsoulis, Cyprus University of Technology, Cyprus Local Advisory Committee ? Demetris Trihinas (chair, University of Nicosia) ? Achilleas Achilleos (Frederick University Cyprus) ? Panayiotis Andreou (University of Central Lancashire-Cyprus) ? Christodoulos Efstathiades (European University Cyprus) ? Angelika Kokkinaki (University of Nicosia) ? Ioannis Krikidis (University of Cyprus) ? Jahna Otterbacher (Open University Cyprus) ? Vicky Papadopoulou (European University Cyprus) ? Nearchos Paspallis (University of Central Lancashire-Cyprus) ? Michalis Sirivianos (Cyprus University of Technology) ? Stavros Stavrou (Open University Cyprus) ? Demetris Zeinalipour (University of Cyprus) Proceedings Editor ? Harald Gjermundrod (University of Nicosia) Steering Committee ? Christos Douligeris (Greek Computer Society) ? Nikitas Karanikolas (Greek Computer Society) ? Christos Koilias (Greek Computer Society) ? Cleo Sgouropoulou (Greek Computer Society) ? 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The purpose is to gain a detailed understanding of the complexity of data and of the appropriateness of the different analysis techniques. The ideal participants are theoreticians with experience in analyzing experimental data as well as computationally minded experimentalists. By mixing a group of scientists with a diverse background but with overlapping goals of uncovering structure in neural data, the participants will learn an array of techniques and foster fruitful collaborations. The workshop will include presentations, tutorial sessions and lots of time and space for unfiltered in-depth discussions and data hacking sessions. We envision tutorials both on advanced data analysis as well as on specific experimental techniques and data processing. Participants are therefore expected to contribute with code or data to share and a reasonable dose of energy for giving tutorials on their work. Data and/or code can come in any format, including artificially generated data, but we encourage to make them available in a form that everyone can explore them with minimal overhead. Any data is shared only within the workshop. *In order to foster an interactive atmosphere and allow everyone to give a detailed description and tutorial of their work, the workshop will be limited to a small group of participants. Participants will be provided with funds to cover travel, accommodation, and meals. We encourage applications from female scientists and those belonging to underrepresented minorities.* The Junior Scientist Workshop is organized in partnership with the NeuroNex Theory Team at the University of Houston and funded by NSF's NeuroNex initiative. The 2019 workshop will be held at Columbia University's Jerome L Greene Science Center . Organizers: Fabio Stefanini, Mario Dipoppa, Rainer Engelken, Kre?imir Josi?, and Ashok Litwin-Kumar. Questions? Email neuraldataworkshop at gmail.com -- ************************************************************* Rainer Engelken Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University pgp fingerprint: F94E 83D9 77AB 76F6 15E9 1503 3AD6 FCDC 410B 14F2 re2365 at columbia.edu ctn.zuckermaninstitute.columbia.edu ************************************************************* -------------- next part -------------- An HTML attachment was scrubbed... URL: From lzhang at cse.ust.hk Sun May 26 06:21:33 2019 From: lzhang at cse.ust.hk (Nevin L. Zhang) Date: Sun, 26 May 2019 18:21:33 +0800 Subject: Connectionists: Top 5 Fastest Growing Topics in AI Message-ID: Here are top 5 fastest growing topics in AI. See http://aipano.cse.ust.hk for more information. 1.Vulnerable, vulnerability, adversarial-perturbation, adversarial-attack, fool, harness, fgsm Venue Year Title Citation ICLR 2015 Explaining and Harnessing Adversarial Examples 837 CVPR 2016 DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks 215 ICLR 2017 Adversarial examples in the physical world 211 ICLR 2017 Adversarial examples in the physical world 211 ICML 2018 Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples 176 2.Generative-adversarial-net, wardefarley, discriminator, image-generation Venue Year Title Citation NIPS 2014 Generative Adversarial Nets 7004 NIPS 2016 Improved Techniques for Training GANs 1481 ICLR 2016 Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 1440 NIPS 2015 Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks 862 NIPS 2016 InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets 821 3.Actor critic, actor, off policy, critic, replay, on policy Venue Year Title Citation ICML 2016 Asynchronous Methods for Deep Reinforcement Learning 1298 AAAI 2016 Deep Reinforcement Learning with Double Q-Learning 722 JAIR 2001 Infinite-Horizon Policy-Gradient Estimation 713 ICLR 2016 Continuous control with deep reinforcement learning 604 ECML 2005 Natural Actor-Critic 553 4.Meta learning, one shot, few shot, meta, image-recognition Venue Year Title Citation NIPS 2016 Matching Networks for One Shot Learning 478 CVPR 2018 Learning Transferable Architectures for Scalable Image Recognition 252 CVPR 2014 COSTA: Co-Occurrence Statistics for Zero-Shot Classification 113 ICML 2017 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 98 ICLR 2017 Optimization as a Model for Few-Shot Learning 83 5.Self attention, sentence-embedding, transformer, imdb Venue Year Title Citation NIPS 2017 Attention is All you Need 217 AAAI 2018 DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding 56 ICLR 2017 A STRUCTURED SELF-ATTENTIVE SENTENCE EMBEDDING 55 ICLR 2017 Structured Attention Networks 39 ACL 2018 Marian: Fast Neural Machine Translation in C++ 29 -------------- next part -------------- An HTML attachment was scrubbed... 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Name: nbhhkponbidakbml.png Type: image/png Size: 27646 bytes Desc: not available URL: From wittawatj at gmail.com Sun May 26 10:30:44 2019 From: wittawatj at gmail.com (Wittawat Jitkrittum) Date: Sun, 26 May 2019 14:30:44 +0000 Subject: Connectionists: Call for participation: Machine Learning Research School, August 2019, Bangkok Message-ID: Dear all, The first Machine Learning Research School (MLRS ) will be held at Digital Economy Promotion Agency (DEPA) in Bangkok, Thailand between August 4th - 11th, 2019 (8 days). The MLRS aims toprovide basic understanding of machine learning research to students, researchers, and practitioners, through comprehensive tutorials by renowned machine learning experts. === INVITED SPEAKERS & TOPICS === 1. Benjamin Van Roy (Professor at Stanford University; Research Lead at DeepMind, Mountain View) 2. Kenji Fukumizu (Professor at The Institute of Statistical Mathematics ) 3. Mijung Park ("Privacy Preserving Machine Learning" Group Leader at Max Planck Institute for Intelligent Systems ) 4. Andr? Martins (Research Scientist at Unbabel ) 5. Warodom Khamphanchai (Bangkok AI Ambassador at CITY.AI) 6. Prachya Boonkwan (Thai Natural Language Processing Researcher at Thailand's National Electronics and Computer Technology Center) 7. Elias Bareinboim (Assistant Professor at Purdue University) 8. Hung Bui (Director at VinAI Research) The list of invited speakers is still growing, which will be updated on our website . The main topics that we cover include - Reinforcement learning - Kernel methods - Causal inference - Probabilistic modeling - Privacy preserving machine learning - Natural language processing - Thai natural language processing - Machine learning in Python (practical sessions) === APPLICATION & PROGRAM === We are inviting applications to participate in the MLRS. DEADLINE: 31st May 2019. Details regarding the application process can be found at https://www.mlrs.ai/participate. Our target audience are research students, industry practitioners working on machine learning or related areas, and academics who wish to understand machine learning from a technical perspective. All applicants are subject to a selection process. There is no application fee. However, for applicants selected to participate, there is a small registration fee (details at https://www.mlrs.ai/participate). The registration fee will allow us to offer: 1. Lunch and two coffee breaks per day (8 days) 2. Access to all lectures (in English). See the schedule at https://www.mlrs.ai/schedule. 3. Poster presentation by participants 4. Two coding sessions 5. Social events (welcome party and banquet) 6. Access to career booths of our valued sponsors ( https://www.mlrs.ai/sponsors). 7. One-day visit to Vidyasirimedhi Institute of Science and Technolog y (VISTEC) in Rayong province, Thailand. Full (tentative) schedule can be found at https://www.mlrs.ai/schedule. A limited number of travel assistance is available for students who are accepted to attend MLRS. Everyone is welcome to apply regardless of their origin, nationality, and country of residence. CONTACT: Please do not hesitate to contact us at mlrs2019 at googlegroups.com for any questions or suggestions. Kind regards, The MLRS 2019 Organizing Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From avellido at cs.upc.edu Mon May 27 02:58:06 2019 From: avellido at cs.upc.edu (Alfredo Vellido) Date: Mon, 27 May 2019 08:58:06 +0200 Subject: Connectionists: WSOM+2019, Barcelona, Spain: 2nd CALL FOR PARTICIPATION Message-ID: <158c34b8-8326-9a7d-8f02-f999e08a48ba@cs.upc.edu> [Our apologies if you received multiple copies of this message] =============================================================== *2nd CALL FOR PARTICIPATION ******* ************ WSOM+ 2019 ************ 13th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization Barcelona, Spain, 26-28 June 2019 *https://wsom2019.cs.upc.edu wsom2019 at easychair.org Barcelona awaits your participation in the 13th WSOM+ conference! This is a welcoming and inclusive city, home to thriving Machine Learning and Computational Intelligence communities. Hosted by the Intelligent Data Science and Artificial Intelligence (IDEAI) Research Center at Universitat Polit?cnica de Catalunya (UPC BarcelonaTech), WSOM+ 2019 aims to build on a successful string of editions that started more than two decades ago with WSOM?97 in Helsinki. The conference is meant to be an international reference for research in unsupervised learning, self-organizing systems, Learning Vector Quantization and data visualization. Preliminary program available @https://wsom2019.cs.upc.edu/at-a-glance WSOM+19 will include an AI-companies workshop on Thu afternoon (27th), where our sponsors will participate in a round table. Meet us in the Barcelona summer! **** REGISTRATION **** The WSOM+2019 Registration System is available @https://wsom2019.cs.upc.edu/registration **** INVITED SPEAKERS **** Paulo J.G. Lisboa, Head of Department of Applied Mathematics at Liverpool John Moores University, U.K. "Unsupervised ML in Sports Analytics" Tobias Schreck, Institute for Computer Graphics and Knowledge Visualization at the Faculty for Computer Science and Biomedical Engineering of TU Graz, Austria "Visual Analytics Techniques for Data Exploration: Visual Cluster Analysis, Interactive Data Modeling, and User Guidance" A?da Valls, Department of Computer Science and Mathematics, Universitat Rovira i Virgili (URV), Tarragona, Spain. "Ontology-based Clustering for Managing Semantic Data and its Use in Tourism Applications" Alessandro Sperduti, Dipartimento di Matematica Pura ed Applicata, Universita degli Studi di Padova, Italy. "Self-organizing Maps for Structured Data: from Unsupervised to Deep Supervised Models" **** SOCIAL EVENTS **** A welcome cocktail by the beach to get in the mood, after the first day of the conference (June 26th). It will happen at the Barcelona Biomedical Research Park (PRBB,http://www.prbb.org) Gala Dinner at Palau Requesens, a Gothic palace built on top of the ancient Roman walls of Barcino. Right at the heart of the old city and, you might say, at the heart of Catalan culture. Guided tour of Barcelona city center. **** VENUE **** The city of Barcelona is the second largest city in Spain, and the capital of Catalonia, with a population of 1,7 million inhabitants and 3 million in the metropolitan area. Its cultural richness, vibrant life, and splendid location has made it one of the most visited cities in the world, with over 4 million visitors per year (http://www.barcelonaturisme.com/wv3/en/). The 13th edition of WSOM+ will take place at UPC BarcelonaTech V?rtex Building of Campus Nord, the location of the UPC Department of Computer Science (https://wsom2019.cs.upc.edu/upc-venue). This campus is in the south part of the city, at walking distance from Barcelona Football Club stadium and perfectly communicated with the city center and main tourist amenities through public transport: underground, tram and buses. ************ WSOM+ 2019 ************ *Organizing Committee* Alfredo Vellido, Chair (IDEAI, UPC BarcelonaTech) Karina Gibert (IDEAI, UPC BarcelonaTech) Cecilio Angulo (IDEAI, UPC BarcelonaTech) Jos? David Mart?n (Universitat de Val?ncia) *Steering Committee:* Teuvo Kohonen (Honorary Chairman, Finland) Marie Cottrell (France) Pablo Estevez (Chile) Timo Honkela (Finland) Jean Charles Lamirel (France) Thomas Martinetz (Germany) Erzsebet Merenyi (USA) Madalina Olteanu (France) Michel Verleysen (Belgium) Thomas Villmann (Germany) Takeshi Yamakawa (Japan) Hujun Yin (UK) ========================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Mon May 27 18:21:47 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Mon, 27 May 2019 18:21:47 -0400 Subject: Connectionists: call for illusion submissions: the 15th Best Illusion of the Year Contest In-Reply-To: <00d301d514da$746834b0$5d389e10$@neuralcorrelate.com> References: <00d301d514da$746834b0$5d389e10$@neuralcorrelate.com> Message-ID: <00f101d514da$95e50d20$c1af2760$@neuralcorrelate.com> ****CALL FOR ILLUSION SUBMISSIONS: THE WORLD'S 15TH ANNUAL BEST ILLUSION OF THE YEARSM CONTEST**** http://illusionoftheyear.com We are happy to announce the 15th edition of world's Best Illusion of the YearSM Contest!! Submissions are now welcome! In 2015, the Best Illusion of the YearSM Contest became an annual online event, with the goal of bringing the creativity of the illusion creator community all around the world. Anybody with an internet connection can now participate! No matter where you live, you can be a contestant, and/or vote for the Top 3 winners! Contestants are invited to submit 1-minute YouTube videos featuring novel illusions (unpublished, or published no earlier than 2018) of all sensory modalities (visual, auditory, etc.) and/or cognitive nature. The content of the 1-minute video presenting your illusion is solely up to you, and the only requirement is that it wows all viewers! Some examples include, but are not limited to: * -A slide presentation, or succession of images, with a voice over (and/or written text, if you prefer) * -A video of yourself describing your illusion * -A video animation/enactment of your illusion An international panel of impartial judges will rate all the videos and narrow them down to the Top 10. Then, online voters around the world will choose their favorite illusions from the Top 10 finalists. All Top 10 finalists will receive a commemorative plaque. In addition, the Top 3 winners will receive cash prizes: $3,000 USD for first place; $2,000 USD for second place, and $1,000 USD for third place. The Judge Panel will rate illusions according to: * -Significance to our understanding of the human mind and brain * -Simplicity of the description * -Sheer beauty * -Counterintuitive quality * -Spectacularity Submissions will be held in strict confidence by the Judge Panel. Only the Top 10 illusions will be posted online, to allow worldwide voting. Participation in the Best Illusion of the YearSM Contest does not preclude you from also submitting your work for publication elsewhere. By participating in the Best Illusion of the YearSM Contest you agree to have your illusion posted on the Contest website, if selected among the Top 10, and included in press releases and other promotional materials/fundraising initiatives for the Contest. You (and your co-authors, if appropriate) will retain the full copyright of your illusion, and receive full credit as illusion creator(s). Illusions submitted to previous editions of the contest can be re-submitted to the 2019 Contest, as long as they meet the above requirements and were not among the Top 10 finalists in previous years. You can send your 1-minute video to Susana Martinez-Conde via email ( smart at neuralcorrelate.com) until July 02, 2019. On behalf of the Executive Board of the Neural Correlate Society: Jose-Manuel Alonso, Stephen Macknik, Susana Martinez-Conde, Luis Martinez, Xoana Troncoso, Peter Tse -------------------------------------- Susana Martinez-Conde, PhD Author, Champions of Illusion and Sleights of Mind Professor of Ophthalmology, Neurology, and Physiology & Pharmacology State University of New York (SUNY) Downstate Medical Center 450 Clarkson Ave, Brooklyn NY 11203, USA Email: smart at neuralcorrelate.com Phone: +1 718-270-4520 http://smc.neuralcorrelate.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From gigglelmt at gmail.com Mon May 27 11:01:22 2019 From: gigglelmt at gmail.com (Gigg Liu) Date: Mon, 27 May 2019 23:01:22 +0800 Subject: Connectionists: [CALL FOR PAPERS] IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE Message-ID: IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE https://webintelligence2019.com/ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) CALL FOR PAPERS Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance 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 theme for the WI'19 is: "Web Intelligence = AI in the Connected World". The 18th Web Intelligence conference (WI'19) aims to achieve a multi-disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI'19 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Track 1: Web of People Social networks analytics Social media and dynamics User and behavioral modeling Human centric computing Opinion mining Recommendation engines Sentiment analysis Crowdsourcing and social data mining People oriented applications and services Track 2: Web of Data Data science and machine learning Big data analytics Data integration and data provenance Cognitive models Computational models Information search and retrieval Algorithms and knowledge management Knowledge bases and semantic networks Linked data management and analytics Data driven services and applications Track 3: Web of Things IoT data analytics Web infrastructures and devices Mobile web Distributed systems and devices Open autonomous systems Industrial multi-domain web Streaming data analysis Smart city applications and services Track 4: Web of Trust Hidden web analytics Blockchain analytics and technologies Web-scale security, integrity, privacy and trust Web cryptography Fake content and fraud detection Web safety and openness Monetization services and applications Track 5: Web of Health Personalized health management and analytics Health data exchange and sharing Big data in medicine Wellbeing and healthcare in the digital era Omics research and trends Healthcare and medical applications and services The Program Chairs are soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by ACM. 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). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. ORGANIZATION 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Christine.Koehler at med.uni-tuebingen.de Tue May 28 03:09:00 2019 From: Christine.Koehler at med.uni-tuebingen.de (=?UTF-8?Q?Christine=20K=C3=B6hler?=) Date: Tue, 28 May 2019 09:09:00 +0200 Subject: Connectionists: Are you driven by the desire to enhance the understanding of the human brain and develop new therapies for neuropsychiatric disorders? - Call for PhDstudents & Postdoc researchers Message-ID: <5CECDE8C02000065001E6F7D@gwia2.ukt.ad.local> Division for Functional and Resaurative Neurosurgery Head Prof. Dr. A. Gharabaghi T?bingen Neuro Campus University of Tuebingen, Germany Position: Postdoc/PhD student Duration: 3 Years Starting: As soon as possible Deadline for submission: 30.06.2019 Are you driven by the desire to enhance the understanding of the human brain and develop new therapies for neuropsychiatric disorders? Our group at the Div. Functional and Restorative Neurosurgery, University Hospital Tuebingen, Germany, unites neuroscientists, engineers, computer scientists and physicians following a common goal: To improve the lives of patients with neurological disorders using state-dependent and adaptive stimulation of the nervous system. Postdocs and PhD students (f/m/d) As a translational group, we work closely together with biomedical companies to gain access to new tools, combine basic studies on healthy subjects with clinical studies on patient populations, and apply the knowledge gained from these studies to develop and refine these new tools. Representative work from the last months: Naros et al. Mov Disord. 2018, Khademi et al. Cereb Cortex. 2018, Kraus et al. J Neurosienci. 2018 and Guggenberger et al. Brain Stimul 2018 What you can expect Design and evaluate novel brain stimulation paradigms. Investigate the effects of these paradigms using electrophysiological data. Expand the understanding of the human brain. Opportunity to work with in vivo data. Examine electrophysiological signals from patients and healthy controls. We support your work with a broad range of pre-built analysis tools and assist you in designing your own approaches. Access to state-of-the-art technologies to generate reliable results. Join a team that is united by vision: to enhance the understanding of the human brain in order to invent and implement more effective therapies. 3-year-contract, third-party funded in accordance with German public service collective agreement pay scale and your previous experience. Qualifications Master?s degree or PhD in the field of Neuroscience, Cognitive Science, Biology, Computer Science, Engineering, Data Science or related fields. Solid understanding of statistical data analysis, digital signal processing and/or programming principles. Programming skills in Python or MATLAB and/or experience in applying statistical tools, e.g. machine learning for data analysis. Experience with relevant techniques, i.e. tDCS, TMS, NMES, M/EEG, and/or EMG. Team-player Application Please find details for application at www.stimulating-plasticity.org Motivation letter including CV, publication record, names and e-mail addresses of thee professional references, Transcript of Records, TOEFL scores or other evidence of English and/or German proficiency. We offer remuneration in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States) in addition to all the customary benefits granted to employees working in public services. Severely handicapped persons with equal qualifications are given preferential consideration. The University of Tuebingen is keen to increase its quota of female scientific staff and therefore requests women to apply for this position. The administration of the University Hospital is responsible for all employment matters. Personnel appointments will made according to fundamental stipulations of legal statutes for universities in Germany. Interview expenses are not covered. Application deadline is 1st July 2019 Please send your significant application electronically (PDF-files only) to: VWKopf_Sekr at med.uni-tuebingen.de University Hospital Tuebingen Div. Functionals and Restorative Neurosurgery Ms. Anita Kopf Otfried-Mueller-Str. 45 72076 Tuebingen Germany Phone +49-7071-29-85849 Fax +49-7071-29-25104 Mit freundlichen Gr??en Christine K?hler Assistentin / Sekretariat Sektion Funktionelle und Restaurative Neurochirurgie Neurochirurgische Universit?tsklinik Universit?tsklinikum T?bingen Otfried-M?ller-Str. 45 72076 T?bingen Tel. 07071 2985197 Mail: christine.koehler at med.uni-tuebingen.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From pblouw at uwaterloo.ca Tue May 28 13:44:21 2019 From: pblouw at uwaterloo.ca (Peter Blouw) Date: Tue, 28 May 2019 13:44:21 -0400 Subject: Connectionists: Job Openings in Neuromorphic Computing Message-ID: Applied Brain Research (ABR) is a company that develops software and builds AI applications using neuromorphic methods and hardware. Our fifteen person team spun out of a computational neuroscience lab at the University of Waterloo, and works with world leading industrial partners and has early access to cutting edge technology to develop the next generation of AI hardware . We are growing. We are looking to hire for two positions: an FPGA Design Engineer , and a Machine Learning Engineer . Further details about each position can be found by following the links above. For any general questions, feel free to contact info at appliedbrainresearch.com. We look forward to hearing from you! -------------- next part -------------- An HTML attachment was scrubbed... URL: From kwimmer at crm.cat Tue May 28 13:31:06 2019 From: kwimmer at crm.cat (Klaus Wimmer) Date: Tue, 28 May 2019 19:31:06 +0200 Subject: Connectionists: Barcelona summer school for Advanced Modelling of Behavior (BAMB!) - Application deadline June 3 Message-ID: Applications to the new Barcelona summer school for Advanced Modelling of Behavior (BAMB! ) are open until June 3rd. Please see the course website for further details: www.bambschool.org. BAMB! teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group project aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive and computational neuroscience with solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We will seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling).Female scientists and scientists from underrepresented countries are especially encouraged to apply. Dates and location: September 4-10, downtown Barcelona, Spain Organizers: Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Alex Hyafil (UPF/CRM, Barcelona) Confirmed Faculty: Jean Daunizeau (ICM, Paris) Alex Hyafil (UPF/CRM, Barcelona) Kerstin Preuschoff (Geneva) Alfonso Renart (Champalimaud) Maneesh Sahani (UCL) Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Angela Yu (UC San Diego) The summer school benefits from the generous support of the William K. and Katherine W. Estes Fund , from the Sociedad Espa?ola de Neurociencia and from the Centre de Recerca Matem?tica . -------------- next part -------------- An HTML attachment was scrubbed... URL: From castrog4 at msu.edu Tue May 28 17:42:32 2019 From: castrog4 at msu.edu (Castro-Garcia, Juan) Date: Tue, 28 May 2019 21:42:32 +0000 Subject: Connectionists: Artificial Intelligence Machine Learning (AIML) Contest 2019 and BMI 2019 Message-ID: Artificial Intelligence Machine Learning (AIML) Contest 2019 and BMI 2019 We are pleased to announce the Artificial Intelligence Machine Learning (AIML) Contest 2019 which will run July 14 - November 17, 2019. AIML Contest: The Cresceptron by Weng, Ahuja & Huang 1992 (ICCV) was the first deep learning network for 3D worlds, but such CNNs have many "holes" by e.g., max-pooling and lack of context for autonomous attention. We need task-independent and modality-independent networks as well as optimality of representations to see what these "holes" are and how to fill them. The terms such as artificial intelligence, machine learning, robotics, signal processing, control, dynamic systems, data mining, big data, and neuroscience projects, often have different task emphases but these subjects all share the same set of problems that now have a unified brain-inspired solution: Developmental Network (DN) framework. The AIML Contest, annually run since 2016, serves as a practice platform for all these highly related subjects and beyond. You should participate if you are doing deep learning whose CNNs have holes that you can fill after you have gone through AIML Contest 2019. The contest is open but not limited to all researchers, practitioners, students, and even investors who want to find which areas of their investments can best grow. We predict that this contest framework will fundamentally change the landscape of all such subjects although many senior researchers cannot see that at this point of time, just like Google ventured into deep learning for 3D worlds 24 years after the Cresceptron technology was invented. Do not wait to learn what this fundamental change implies when you have an early chance. The Contest aims to provide a hands-on experience for participants to learn and practice such a unified solution to all such subjects. Unified goal: Full automation in machine learning (brain-like) for general purposes. Prize and Certificates: The winning team receives a US$10,000 prize divided among team members. The winner and runner-ups will receive medals and certificates. BMI courses that are recommended to the participants will issue certificates to those who pass. Participants have also the opportunity of working or intern in GENISAMA LLC depending on performance. Book Chapter Inclusion: The top performers will be invited to submit a book chapter about their contest entry to the AI Machine Learning Contest 2019 book. This book project is underway. BMI Courses: Each of the three courses offered in 2019 is a three-week set of online lectures that you can start any time during 2019. They offer video lectures, homework and exams. They discuss the theory behind the Developmental Network, such as cognitive science, automata theory, and computational models: BMI 831 Cognitive Science BMI 861 Brain Automata BMI 871 Computational Brain-Mind Fees: Full-time students get tuition waivers for BMI courses. Each AIML Contest entry (US$150) includes the three BMI courses for all team members. The completion of these courses is not required to participate in the contest but is recommended. Contest Events: July 13, 2019: Early registration deadline for AIML Contest July 14, 2019: AIML Contest Kickoff in conjunction with IJCNN 2019 in Budapest (webcast will be made available through the YouTube channel Brain-Mind Talks and Youku channel Brain_Mind_Talks) July 28, 2019: Late registration deadline for AIML Contest July 29 - Aug. 9, 2019: AIML Contest 2019 Workshop Nov. 17, 2019: Contest results due by 11:59 pm EST AIML Contest Workshop: This workshop coaches contest participants, either on-site or off-site, on how the DN2 Engine runs. Some of the topics covered during the workshop are: Implementation details of the network, training and evaluation procedures, and instructions to report the network's performance. Participation is free for registered contestants. To register for the Contest, send a copy of a recent CV (one for each team member) and a Statement of Team Purpose to Juan L. Castro-Garcia (castrog4 at msu.edu) and cc to Juyang Weng (weng at cse.msu.edu) with "AIML 2019 Contest Registration" in the subject line. To take BMI courses, you need to be admitted into BMI first. Apply for admission at the BMI site http://www.brain-mind-institute.org/program-registration/ After you are admitted into BMI, you can proceed with registration of BMI courses. For more information regarding rules and instructions of the Contest, visit the Contest website: http://www.brain-mind-institute.org/AIMLcontest/ Contestants do not have to get admitted into BMI. Organizers: Juyang Weng (General Chair) Juan L. Castro-Garcia (Program Chair, Language Chair) Zejia Zheng (Vision Chair) Xiang Wu (Audition Chair) Feel free to direct any questions to Juyang Weng (weng at cse.msu.edu) and Juan L. Castro-Garcia (castrog4 at msu.edu). Important dates: July 13, 2019: Early registration deadline for AIML Contest July 14, 2019: AIML Contest Kickoff in conjunction with IJCNN 2019 in Budapest (webcast will be made available through the YouTube channel Brain-Mind Talks and Youku channel Brain_Mind_Talks) July 28, 2019: Late registration deadline for AIML Contest July 29 - Aug. 9, 2019: AIML Contest 2019 Workshop Nov. 17, 2019: Contest results due by 11:59 pm EST -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Tue May 28 11:24:11 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Tue, 28 May 2019 17:24:11 +0200 Subject: Connectionists: [CfP] ISWC 2019 - *One day left* to submit your papers to the Journal track 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! In this announcement: * Highlights 1. Call for Journal papers Submissions due: May 29, 2019 (**tomorrow**) 23:59:59 Hawaii Time * Highlights ******************************************* * Journal Track: Eligible papers should either have been published within the Semantic Web Journal or Journal of Web Semantics or must be clearly fitting the ISWC topics, if published in alternative established and recognized journals. Eligible papers should have been published (even only in the electronic version) in the last around two years, starting from January 1st 2017 until present. 1. Call for Journal papers ******************************************* The journal track is intended as a forum for presentations of significant Semantic Web-related research results that have been published recently in well known and established journals and have never been presented at any Semantic Web-related conference. The goal is to give visibility of these results to a conference audience as well as to promote discussions concerning such results. Eligible papers should either have been published within the Semantic Web Journal or Journal of Web Semantics or must be clearly fitting the ISWC topics, if published in alternative established and recognized journals (see the list below). Specifically, eligible papers should have been published (even only in the electronic version) in the last around two years (starting from January 1st 2017 until present), though exceptions could be made for papers judged as potentially very influential but that have been published before January 2017. The authors of such papers will have the opportunity to present their work during the conference days. The abstracts of accepted papers will be published on the conference web site and the papers themselves will be compiled into a CEUR-WS Proceedings for easy Web retrieval and archival, but they will not be part of the printed Springer conference proceedings. Metadata for all accepted submissions will be included in the conference metadata corpus. Detailed information about metadata creation will be provided with the acceptance notification of the successful submissions. Further info: https://iswc2019.semanticweb.org/call-for-journal-track/ == Important Dates == Submissions due: May 29, 2019 (** tomorrow **) 23:59:59 Hawaii Time == Program Chairs == Contact: iswc2019-journal at inria.fr Claudia d?Amato, University of Bari, Bari, Italy Lalana Kagal, MIT, Cambridge, MA, USA Looking forward to your submissions! The ISWC 2019 Organising Team ( https://iswc2019.semanticweb.org/organizing-committee/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpulina at uniss.it Wed May 29 03:34:56 2019 From: lpulina at uniss.it (Luca Pulina) Date: Wed, 29 May 2019 09:34:56 +0200 Subject: Connectionists: [Call for Papers] AIIA19 - The 18th International Conference of the Italian Association for Artificial Intelligence Message-ID: <232d57a3-460f-9b52-ab61-b78eaddeeed6@uniss.it> [apologies for any cross-posting] **************************************************************************************************************************************************************** Call for Papers [NEW DEADLINES!] AIIA19 - The 18th International Conference of the Italian Association for Artificial Intelligence UNICAL, Rende (CS), 19-22 November 2019 **************************************************************************************************************************************************************** ----------------------------------------------------------------- Topics of Interest ----------------------------------------------------------------- The conference covers broadly the many aspects of theoretical and applied Artificial Intelligence. A series of workshops dedicated to specific topics enhances the program. AIIA 2019 welcomes submissions covering all areas of AI, including (but not limited to) machine learning, search, planning, knowledge representation, reasoning, constraint satisfaction, natural language processing, robotics and perception, and multiagent systems. We encourage all types of high-quality contributions including theoretical, engineering and applied papers. We also encourage contributions on AI techniques in the context of novel application domains, such as security, sustainability, health care, transportation, and commerce. Besides regular original papers, in this edition we also welcome discussion papers containing descriptions of results recently published or accepted for the presentation in international conferences. Discussion papers are expected to be more broadly accessible than regular papers, they are an opportunity for the authors to present their recent results to the AI community, and a valuable addition for the attendees of AIIA 2019. At least one author of each accepted paper is required to register and attend the conference to present the work. ----------------------------------------------------------------- Proceedings of Regular Papers ----------------------------------------------------------------- The regular papers will be included in the proceedings of the conference, and will be published by Springer Verlag in the Lecture Notes in Artificial Intelligence series. Authors of selected regular papers accepted to the main track will be invited to submit an extended version for publication on "Intelligenza Artificiale", the International Journal of the Italian Association for Artificial Intelligence, edited by IOS Press and indexed by Thomson Reuters' "Emerging Sources Citation Index" and Scopus by Elsevier. ----------------------------------------------------------------- Proceedings of Discussion Papers ----------------------------------------------------------------- The discussion papers will not be included in the LNCS proceedings of the conference, and will be made available through the conference WEB-Site and possibly published on CEUR WS Proceedings upon request. ----------------------------------------------------------------- Best Papers ----------------------------------------------------------------- The Program Committee will select the Best Student Paper Award and the Best Paper Award from the accepted regular papers. In order to be eligible for the Best Student Paper award, at least one author must be a student. ----------------------------------------------------------------- Submission Instructions ----------------------------------------------------------------- The submitted papers should be written in English and formatted according to the Springer LNCS style. Regular papers must be original papers which are not being submitted simultaneously for publication elsewhere. These papers should not exceed 12 pages plus bibliography. The discussion papers report results already published or accepted for the publication in international conferences, and should not exceed 8 pages plus bibliography. Paper submission is electronic via easychair at the address: https://easychair.org/conferences/?conf=aiia2019 ----------------------------------------------------------------- Important Dates ----------------------------------------------------------------- Abstract of regular paper submission: (was 28 May 2019) 18 June 2019 Regular paper submission: (was 4 June 2019) 25 June 2019 Notification to authors of regular papers: (was 23 July 2019) 13 August 2019 Camera ready of regular papers: (was 3 September 2019) 17 September 2019 Abstract of discussion paper submission: (was 28 May 2019) 2 July 2019 Discussion paper submission: (was 4 June 2019) 9 July 2019 Notification to authors of discussion papers: (was 23 July 2019) 27 August 2019 Camera ready of discussion papers: (was 3 September 2019) 1 October 2019 ----------------------------------------------------------------- Conference Web Site ----------------------------------------------------------------- For the most up to date information, please visit: https://aiia2019.mat.unical.it ----------------------------------------------------------------- Organizing Committee ----------------------------------------------------------------- Conference Chair: Nicola Leone (UNICAL, Italy) Program Chairs: Mario Alviano (UNICAL, Italy) Gianluigi Greco (UNICAL, Italy) Francesco Scarcello (UNICAL, Italy) Organization Chairs: Francesco Ricca (UNICAL, Italy) Chiara Ghidini (FBK, Trento) Workshop and Tutorial Chair: Rafael Penaloza (UNIMIB, Italy) Doctoral Consortium Chair: Marco Maratea (UNIGE, Italy) Publicity and Web Chair: Luca Pulina (UNISS, Italy) -- -- *Dona il? 5x1000* all'Universit? degli Studi di Sassaricodice fiscale: 00196350904 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Xujuan.Zhou at usq.edu.au Wed May 29 05:28:23 2019 From: Xujuan.Zhou at usq.edu.au (Xujuan Zhou) Date: Wed, 29 May 2019 09:28:23 +0000 Subject: Connectionists: MLACS'19 CfPs Message-ID: Apologies for cross posting ###################################################################### CALL FOR PAPERS International Workshop on Machine Learning Algorithms for Cybersecurity (MLACS'19) in conjunction with the 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) in Thessaloniki, Greece, October 14, 2019 Website: https://tau.usq.edu.au/MLACS2019/ ###################################################################### full paper submission: July 10, 2019 Notification of acceptance: August 10, 2019 Camera-ready submission: August 20, 2019 Workshop date: October 14, 2019 ###################################################################### Cyber Security is an area of growth with employment opportunities abound. Many universities in Australia and overseas have started offering niche cyber security programs. Along the same note, there is a growth in the number of research students in Cyber Security, indicating demand for this upcoming domain. Recent trends indicate that machine learning is a key aspect in Cyber Security due to the volume of information crossing global networks, and the individual data associated with this information. In this workshop, we will be discussing the modern machine learning algorithm development, implementation and utilisation in business scenarios specific to Cyber Security. +++++++++++++++++++ Topics of Interest +++++++++++++++++++ TOPICS AND AREAS INCLUDE, BUT ARE NOT LIMITED TO * Machine learning theory on cyber security * Advanced machine learning methods on cyber security * Applications of machine learning in cyber security * Pattern recognition in cyber security * Privacy protection and management with machine learning techniques * Social engineering with machine learning and cyber security * Network and computer security in organizations * Combating software and hardware piracy with machine learning techniques ++++++++++++++++++++++++++++++++++++ On-Line Submissions and Publication ++++++++++++++++++++++++++++++++++++ Paper submissions should be limited to 6 pages for regular papers or 4 pages for short papers in ACM 2-column format. All submitted papers will be reviewed by at least 2 program committee members on the basis of technical quality, relevance, significance, and clarity. Accepted papers will be published in the conference workshop proceedings by ACM and indexed by EI. Submission link: https://wi-lab.com/cyberchair/2019/wi19/scripts/submit.php?subarea=S09&undisplay_detail=1&wh=/cyberchair/2019/wi19/scripts/ws_submit.php ++++++++++++++++++++++++ Organising Committee ++++++++++++++++++++++++ PROGRAM CO-CHAIRS Dr. Xiaohui Tao University of Southern Queensland, Australia Dr. Xujuan Zhou University of Southern Queensland, Australia Prof. Raj Gururajan University of Southern Queensland, Australia PROGRAM COMMITTEE Fu Lee Wang Caritas Institute of Higher Education, Hong Kong SAR Xiaoying Gao Victoria University of Wellington, New Zealand Tak-Lam Wong Caritas Institute of Higher Education, Hong Kong SAR Zhaoqing Pan Nanjing University of Information Science and Technology, China Yiming Zhao Wuhan University, China Yongrui Qin University of Huddersfield, UK Wenping Zhang Renmin University of China, China Bing (Jenny) Zhou Sam Houston State University, United States Yuxiang Zhao Wuhan University, China Jianming Yong University of Southern Queensland KC Chan University of Southern Queensland Ravinesh Deo University of Southern Queensland Zhangguang Wu Fujian Chuanzheng Communications College, China Jang Bahadur Singh Indian Institute of Management Tiruchirappalli India ++++++++++++++++++++++++ General Enquiry ++++++++++++++++++++++++ MLACS2019 at gmail.com _____________________________________________________________ This email (including any attached files) is confidential and is for the intended recipient(s) only. If you received this email by mistake, please, as a courtesy, tell the sender, then delete this email. The views and opinions are the originator's and do not necessarily reflect those of the University of Southern Queensland. Although all reasonable precautions were taken to ensure that this email contained no viruses at the time it was sent we accept no liability for any losses arising from its receipt. The University of Southern Queensland is a registered provider of education with the Australian Government. (CRICOS Institution Code QLD 00244B / NSW 02225M, TEQSA PRV12081 ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed May 29 05:44:01 2019 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 29 May 2019 05:44:01 -0400 Subject: Connectionists: CFP COMPLEX NETWORKS 2019 Lisbon Dec 10-12,2019 Message-ID: *Apologies for any cross posting* *Eighth** Int. Conference on Complex Networks & Their Applications* *Lisbon, Portugal Dec. 10- 12, 2019* *http://www.complexnetworks.org * *Speakers :* ? Lada Adamic Facebook, USA ? Reka Albert Penn State, USA ? Ulrik Brandes ETH Zurich, Switzerland ? Jari Saram?ki Aalto University, Finland ? Stefan Thurner Medical University of Vienna, Austria ? Michalis Vazirgiannis Ecole Polytechnique, France *Tutorials:* December 09, 2019 ? Diego Saez-Trumper Wikimedia Foundation ? Maria Angeles Serrano University of Barcelona, Spain You are cordially invited to submit your contribution until September 03, 2019. *Full papers (not previously published up to 12 pages) *and *Extended Abstracts* *(about published or unpublished research up to 3 pages)* *are welcome.* ? *Papers *will be included in the conference *proceedings edited by Springer* ? *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* ? Extended versions will be invited for publication in *special issues of international journals:* o Applied Network Science edited by Springer o Computational Social Networks edited by Springer o Network Science edited by Cambridge University Press o Social Network Analysis and Mining edited by Springer - PLOS one *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Jos? Fernando Mendes (University of Aveiro, Portugal) Luis M. Rocha (Indiana University) *ADVISORY BOARD* Jon Crowcroft (University of Cambridge, UK) Raissa D'Souza (UC Davis, USA) Eugene Stanley (Boston University, USA) Ben Y. Zhao (University of Chicago, USA) *PROGRAM CHAIRS* Sabrina Gaito (Universit? degli Studi di Milano, Italy) Esteban Moro (Universidad Carlos III de Madrid , Spain) *PROGRAM CO-CHAIRS* Joana Gon?alves-S? (Universidade Nova de Lisboa, Portugal) Francisco Santos (University of Lisbon, Portugal) *SATELLITE CHAIRS* Luca Maria Aiello (Nokia-Bell Labs, UK) Rosa . M Benito (Universidad Politecnica de Madrid ) *LIGHTNING CHAIRS* Nuno Araujo (Lisbon University, Portugal) Huijuan Wang (TU Delft, Netherlands) Taha Yasseri (University of Oxford, UK) *POSTER CHAIRS* Maria Clara Gracio (University of Evora) Gitajanli Yadav (University of Cambridge, UK) Jinhu L? (Chines Ac. Science, Bejing, China) *TUTORIAL CHAIR* Bruno Goncalves (Morgan Stanley, USA) *PUBLICITY CHAIRS* Carlos Gershenson (Universidad Nacional Aut?noma de M?xico , Mexico) Leto Peel (Universit? Catholique de Louvain , Belgium) Michael Schaub (MIT, USA) Feng Xia (Dalian University of Technology, China) *SOCIAL MEDIA CHAIRS* Andreia Sofia Teixeira (universidade de Lisboa, Portugal) *PUBLICATION CHAIR* Chantal Cherifi (University of Lyon, France) *WEB CHAIR* Matteo Zignani (Universit? degli Studi di Milano, Italy) *SUBMISSION CHAIR* Christian Quadri (Universit? degli Studi di Milano, Italy) *LOCAL COMMITTEE CHAIRS* Manuel Marques-Pita (University Lus?fona, Portugal) *Join us at *: COMPLEX NETWORKS 2019, Lisbon, Portugal *Publish your work on:* Applied Network Science *read**: *Complex Networks & their Applications *********************************************** * Pr Hocine CHERIFI * * LIB EA N? 7534 * * Facult? des Sciences Mirande * * 9 , avenue Alain Savary * * BP 47870 * * 21078 DIJON FRANCE * ********************************************** -------------- next part -------------- An HTML attachment was scrubbed... URL: From cgf at isep.ipp.pt Wed May 29 13:04:48 2019 From: cgf at isep.ipp.pt (Carlos Ferreira) Date: Wed, 29 May 2019 17:04:48 +0000 Subject: Connectionists: CFP: IoT Stream 2019: IoT Stream for Data Driven Predictive Maintenance Message-ID: <816f1618-11bf-01d5-ac03-c715828aab45@isep.ipp.pt> IoTStream 2019:IoTStream for Data Driven Predictive Maintenance ECML-PKDD 2019 W?rzburg, Germany, September 16-20, 2019 Conference website https://abifet.wixsite.com/iotstream2019 Submission link https://easychair.org/conferences/?conf=iotstream2019 Abstract registration deadline June 7, 2019 Submission deadline June 7, 2019 Topics: predictive maintenance fault detection internet of things data streams Maintenance is a critical issue in the industrial context for the prevention of high costs or injures. The emerging technologies of Industry 4.0 empowered data production and exchange which lead to new concepts and methodologies exploitation for maintenance. Intensive research effort in data driven Predictive Maintenance (PdM) has been producing encouraged outcomes. Therefore, the main objective of this workshop is to raise awareness of research trends and promote interdisciplinary discussion in this field. Submission Guidelines Regular and short papers presenting work completed or in progress are invited. Regular papers should not exceed 12 pages, while short papers are maximum 6 pages. Papers must be written in English and are to be submitted in PDF format online via the Easychair submission interface: https://easychair.org/conferences/?conf=iotstream2019 Each submission will be evaluated on the basis of relevance, significance of contribution, quality of presentation and technical quality by at least two members of the program committee. List of Topics * This workshop solicits contributions including but not limited to the following topics: * Fault Detection and Diagnosis (FDD) * Fault Isolation and Identification * Estimation of Remaining Useful Life of Components, Machines, ?. * Forecasting of Product and Process Quality * Early Failure and Anomaly Detection and Analysis * Automatic Process Optimization * Self-healing and Self-correction * Incremental, evolving (data-driven and hybrid) models for FDD and anomaly detection * Self-adaptive time-series based models for prognostics and forecasting * Adaptive signal processing techniques for FDD and forecasting * Concept Drift issues in dynamic predictive maintenance systems * Active learning and Design of Experiment (DoE) aspects in dynamic predictive maintenance * Systems Fault tolerant control * Decision Support Systems for Predictive Maintenance * Data visualization for Prescriptive Maintenance * Real world applications such as: * Manufacturing systems * Production Processes and Factories of the Future (FoF) * Wind turbines (offshore/onshore/floating) * Smart management of energy demand/response * Energy and power systems and networks * Transport systems * Power generation and distribution systems * Intrusion detection and cyber security * Internet of Things, * Next Generation Airspace Applications, etc. * Big Data challenges in energy transition and digital transition * Solar plant monitoring and management * Active demand response * Distributed renewable energy management and integration into smart grids * Smart cities Committees Program Committee * Carlos Ferreira, LIAAD INESC Porto LA, ISEP, Portugal * Edwin Lughofer, Johannes Kepler University of Linz, Austria * Sylvie Charbonnier, Universit? Joseph Fourier-Grenoble, France * Bruno Sielly Jales Costa, IFRN, Natal, Brazil * Fernando Gomide, University of Campinas, Brazil * Jos? A. Iglesias, Universidad Carlos III de Madrid, Spain * Anthony Fleury, Mines-Douai, Institut Mines-T?l?com, France * Teng Teck Hou, Nanyang Technological University, Singapore * Plamen Angelov, Lancaster University, UK * Igor Skrjanc, University of Ljubljana, Slovenia * Indre Zliobaite, Aalto University, Austria * Elaine Faria, Univ. Uberlandia, Brazil * Mykola Pechenizkiy, TU Eindonvhen, Netherlands * Raquel Sebasti?o, Univ. Aveiro, Portugal Organizing committee * Rita P. Ribeiro, INESC TEC, Portugal * Sepideh Pashami, Halmstad University * Albert Bifet, Telecom-ParisTech; Paris, France * Jo?o Gama, INESC TEC, Portugal Publication All accepted papers will be included in the workshop proceedings and will be publically available on the conference web site. At least one author of each accepted paper is required to attend the workshop to present. Venue The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place in W?rzburg, Germany, from the *16th to the 20th of September 2019*. Contact All questions about submissions should be emailed to one of the Chairs Carlos Ferreira [http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png] ISEP | Instituto Superior de Engenharia do Porto Rua Dr. Ant?nio Bernardino de Almeida, 431 4249-015 Porto - PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail at isep.ipp.pt | www.isep.ipp.pt From m.schmuker at biomachinelearning.net Wed May 29 12:28:47 2019 From: m.schmuker at biomachinelearning.net (Michael Schmuker) Date: Wed, 29 May 2019 17:28:47 +0100 Subject: Connectionists: PhD positions in Neuromorphic olfaction Message-ID: PhD positions in Neuromorphic machine learning, AI and robotics for chemical sensing Biocomputation Group University of Hertfordshire UK We are seeking candidates who want to join an international team of researchers with the goal to push the boundaries of chemical discovery. We use machine learning, AI and robotics to develop new methods for chemical sensing (electronic noses), gas-based navigation in robots, and knowledge discovery in chemical space. Our group leverages a new kind of computing hardware, so called neuromorphic systems, to translate processes from the brain into algorithms for efficient computing. We take inspiration from neuroscience to develop massively parallel, event-based, and power-efficient algorithms for machine learning, inference and control. Possible project topics include: * Bio-inspired signal processing and pattern recognition for chemical sensing, * Gas-based navigation for robots, * Deep learning for fragrance and aroma discovery, * Computing on neuromorphic hardware. Candidates with diverse skill profile are most welcome, e.g. with a background in: * Machine learning and AI, or * Neuroscience and neural computation, or * Signal processing and computer engineering, or * Fragrance/aroma chemistry and computational chemistry methods . Successful candidates are eligible for a research studentship award from the University (GBP 15,009 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible, too. Please contact Dr Michael Schmuker for informal inquiries (m.schmuker at biomachinelearning.net ). Application forms and instructions how to apply are available under http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research/the-phd-programme-in-computer-science . The short-listing process will begin on 1 July 2019. ? Dr Michael Schmuker AFHEA Reader in Data Science Biocomputation Group University of Hertfordshire https://biomachinelearning.net From sepand.haghighi at yahoo.com Wed May 29 17:36:33 2019 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Wed, 29 May 2019 21:36:33 +0000 (UTC) Subject: Connectionists: PyCM 2.2 released : A general benchmark based comparison of classification models References: <925646051.9403370.1559165793092.ref@mail.yahoo.com> Message-ID: <925646051.9403370.1559165793092@mail.yahoo.com> PyCM 2.2 released http://www.pycm.ir https://github.com/sepandhaghighi/pycm Changelog : - Negative likelihood ratio interpretation (NLRI) added - Cramer's benchmark (SOA5) added - Matthews correlation coefficient interpretation (MCCI) added?#204 - Matthews's benchmark (SOA6) added?#204 - F1 macro added - F1 micro added - Accuracy macro added?#205 - Compare class score calculation modified - Parameters recommendation for multi-class dataset modified - Parameters recommendation for imbalance dataset modified - README.md?modified - Document modified - Logo updated Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From dlinnlp at gmail.com Thu May 30 10:35:37 2019 From: dlinnlp at gmail.com (Slavi Slavov) Date: Thu, 30 May 2019 17:35:37 +0300 Subject: Connectionists: Short call for papers TRANSLATING AND THE COMPUTER 41 Message-ID: [Apologies for cross-posting] *TRANSLATING AND THE COMPUTER 41* *Call for Papers* Contributions are invited on any topic related to technologies used in translation and interpreting, including, but not limited to - CAT tools (e.g. Translation Memory (TM) systems) - Terminology Management - Machine Translation (incl. neural machine translation (NMT), rule-based MT, statistical MT, hybrid systems, use of MT, integration of MT in TM systems) - Quality assessment; post-editing, customisation and MT engine training and tuning, quality control, interoperability - Natural Language Processing for translation and interpreting as well as localisation, and translation workflow and management. - University translation programmes - Natural Language Processing and the rapidly changing translation industry - Tools and resources for translators, how to facilitate collaboration between translators and translation companies, and mobile technologies to support translators? and interpreters? work. *Deadline for submitting abstracts of papers and posters is 10 June** 2019* For more information, visit* https://www.asling.org/tc41/ * . -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentina.ivanova at ri.se Thu May 30 17:54:21 2019 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Thu, 30 May 2019 21:54:21 +0000 Subject: Connectionists: [CfP] VOILA!2019 @ISWC2019 5th International Workshop on Visualization and Interaction for Ontologies and Linked Data Message-ID: CALL FOR CONTRIBUTIONS VOILA 2019 - Visualization and Interaction for Ontologies and Linked Data 5th International Workshop at ISWC 2019, 18th International Semantic Web Conference October 26 or 27, Auckland, New Zealand http://voila2019.visualdataweb.org -------------------------------------------------- Abstracts Deadline: June 21, 2019 Submission Deadline: June 28, 2019 -------------------------------------------------- We are looking for submissions addressing one or more of the following topics, subjects, and contexts (or related ones): * Topics: - visualizations - user interfaces - visual analytics - requirements analysis - case studies - user evaluations - cognitive aspects * Subjects: - ontologies - linked data - knowledge graphs - ontology engineering (development, collaboration, ontology design patterns, alignment, debugging, evolution, provenance, etc.) * Contexts: - classical interaction contexts (desktop, keyboard, mouse, etc.) - modern interaction contexts (mobile, touch, gesture, speech, etc.) - special settings (large, high-resolution, and multiple displays, etc.) - specific user groups and needs (people with disabilities, domain experts, etc.) Submission Guidelines ========== The following types of contributions are welcome. The recommended page length is given in brackets. There is NO strict page limit but the length of a paper should be commensurate with its contribution. - Full research papers (8-12 pages); - Experience papers (8-12 pages); - Position papers (6-8 pages); - Short research papers (4-6 pages); - System papers (4-6 pages). Accepted papers will be published as a volume in the CEUR Workshop Proceedings series. Important Dates ========== Abstract: June 21, 2019 Submission: June 28, 2019 Notification: July 24, 2019 Camera-ready: August 16, 2019 Workshop: October 26 or 27, 2019 Organizers ========== Catia Pesquita, University of Lisbon, Portugal Patrick Lambrix, Link?ping University, Sweden Steffen Lohmann, Fraunhofer IAIS, Germany Valentina Ivanova, RISE Research Institutes of Sweden, Sweden Vitalis Wiens, University of Bonn, Fraunhofer IAIS & TIB, Germany Looking forward to your submissions & meeting you there! Catia, Patrick, Steffen, Valentina, and Vitalis -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Thu May 30 17:40:39 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Thu, 30 May 2019 23:40:39 +0200 Subject: Connectionists: [CfP] ISWC 2019 - Call for Industry, Posters & Demos, Outrageous Ideas, Workshop papers, Semantic Web Challenges systems and Student Travel Grant Message-ID: 18th International Semantic Web Conference (ISWC 2019) ?Knowledge Graphs, Linked Data, Linked Schemas and AI on the Web? Auckland, New Zealand, 26-30 October, 2019 https://iswc2019.semanticweb.org/ The International Semantic Web Conference (ISWC) is the premier venue for presenting fundamental research, innovative technology, and applications concerning semantics, data, and the Web. It is the most important international venue to discuss and present latest advances and applications of the semantic Web, knowledge graphs, linked data, ontologies and artificial intelligence (AI) on the Web. ISWC attracts a large number of high quality submissions every year and participants from both industry and academia. ISWC brings together researchers from different areas, such as artificial intelligence, databases, natural language processing, information systems, human computer interaction, information retrieval, web science, etc., who investigate, develop and use novel methods and technologies for accessing, interpreting and using information on the Web in a more effective way. Follow us: Twitter: @iswc_conf , #iswc_conf ( https://twitter.com/iswc_conf ) LinkedIn: https://www.linkedin.com/groups/13612370 Facebook: https://www.facebook.com/ISWConf/ Become part of ISWC 2019 by submitting to the following tracks & activities or just attend them! (All deadlines are 23:59:59 Hawaii time.) In this announcement: * Highlights 1. Call for Industry papers 2. Call for Posters & Demos papers 3. Call for Outrageous Ideas 4. Call for Workshop papers 5. Call for Semantic Web Challenges systems 6. Student Travel Grants * Highlights ******************************************* * The Outrageous Ideas track is sponsored by the prestigious CCC Blue Sky ideas * Posters & Demos track: poster submissions will be subject to **double blind** peer review, whereas demonstration submissions are single-blind. * Student Travel Grants: If you are a student interested in attending ISWC 2019, you may be eligible to apply for travel grants to support the costs of travel and lodging. This year, travel grants are funded by the Semantic Web Science Association (SWSA) and the U.S. National Science Foundation (NSF). 1. Call for Industry papers ******************************************* The industry track seeks to present the state of adoption of semantic technologies in industrial settings. Semantics is used in applications in many industries, including media, financials, telecommunications, healthcare, life sciences, government, intelligence, smart cities,and cultural heritage. It enables applications capabilities as varied as business intelligence, analytics, search, content management, knowledge management, recommendation systems, information extraction and data integration. We encourage results and ideas from companies large and small. We welcome contributions about success stories as well as experience reports and discussions of obstacles that stand in the way of large-scale adoption of semantic technologies. Across all submissions, emphasis should be put on demonstrating the business value and impact created by using semantic technologies to address real life problems. Come and join us at the ISWC 2019 industry track to share your experiences with the largest community of researchers and practitioners in the Semantic Web field! Topics of Interest Topics of interest include, but are not limited to, the following: - Applications of semantic technologies in specific industrial domains (automotive, financial, healthcare and life sciences, energy industry, etc.) - Development and application of knowledge graphs for specific industries - Successful application domains: knowledge management, data integration, search, business intelligence, data analytics, semantics-based explainable AI, etc. - Industrial and business trends related to the usage of Linked Data, Open Data and Semantic Web technologies - Comparison of semantic technologies with alternative or conventional approaches for industry and business analytics in real world scenarios - Financial and strategic investments in semantic technologies Successful submissions to this track will emphasize: - Real-world deployment experiences and strategic decision-making related to semantic technologies - Success stories of business-relevant, industrial deployments of Semantic Web technologies - Discussion of scalability of the presented technologies - Quantitative measurements of the business value created by using semantic technologies - A clear description of the impact in the respective industry and motivation for the need of semantic web technologies - Best practises and concrete lessons learned from these experiences, measuring in a meaningful way the role of semantics and how it differs from a solution that would otherwise be a state of the art IT solution with no semantic technologies - Areas where further research (or research in novel directions) is required, positioning and outlining potential strategic applications and use cases of semantic technologies Further info: https://iswc2019.semanticweb.org/call-for-industry/ == Important Dates == Submissions due: June 28, 2019 == Program Chairs == Contact: iswc2019-industry at inria.fr Anna Lisa Gentile, IBM Research, San Jose, California, US Christophe Gueret, Accenture Labs Dublin, Dublin, Ireland 2. Call for Posters & Demos papers ******************************************* The ISWC 2019 Posters and Demonstrations complement the paper tracks of the conference and offer an opportunity for presenting late-breaking research results, on-going research projects, and speculative or innovative work in progress. The informal setting of the Posters and Demonstrations encourages presenters and participants to engage in discussions about the work. Such discussions can be invaluable inputs for the future work of the presenters, while offering participants an effective way to broaden their knowledge of the emerging research trends and to network with other researchers. We invite submissions relevant to the area of the Semantic Web and which address, but are not limited to, the topics of the Research Track, the Resources Track, the In-Use Track, and the Industry Track. Posters that describe reports on Semantic Web software systems (free or commercial), descriptions of completed work, and work in progress are all welcome. Demonstrations are intended to showcase innovative Semantic Web related implementations and technologies, both in academia and in industry. We explicitly welcome entries from the industry. However, submissions for posters and demonstrations should go beyond pure advertisements of commercial software packages and convey a minimal scientific contribution. Authors of full papers accepted for the Research Track, the Resources Track, the In-Use Track, and the Industry Track are explicitly invited to submit a demonstration. The submission should be formatted as the other demonstrations but must cite the accepted full paper and needs to include an explanation of its added value with respect to the conference paper. The added value could include: a) extended results and experiments not presented in the conference paper for reasons of space, or b) a demonstration of a supporting prototype implementation. Further info: https://iswc2019.semanticweb.org/call-for-posters-demos/ == Important Dates == Submissions due: June 28, 2019 == Program Chairs == Contact: iswc2019-poster-demo at inria.fr Mari Carmen Su?rez-Figueroa, Universidad Polit?cnica de Madrid (UPM) and Ontology Engineering Group (OEG), Spain Gong Cheng, Nanjing University, China 3. Call for Outrageous Ideas ******************************************* The Outrageous Ideas track is part of ISWC again! As in 2011 and 2018, this track is sponsored by the prestigious CCC Blue Sky ideas and it solicits visionary ideas, long term challenges, and opportunities for the Semantic Web that are outside of the current topics in the field and are not mature or specific enough to be accepted in the regular research track. The contributions will have to have convincing arguments that the proposed topic is promising as well as relevant, and they should relate, compare, or contrast their proposition as much as possible to the existing literature from relevant fields, possibly including fields outside the Semantic Web Community. We solicit visionary papers with significant impact on the field as well as outside the field, where the following topics might provide some inspiration: - Actionable and reliable knowledge generation - Blockchain and the Semantic Web - Deep learning and knowledge graphs - Graph embeddings - Knowledge cyborgs - Knowledge driven virtual reality - Knowledge Graphs in Nature - Semantic data programming and weak supervision - Semantic web and lifelong learning - Semantic Web in low resource settings - Trust and reliable knowledge on the Web - Further info: https://iswc2019.semanticweb.org/call-for-outrageous-papers/ == Important Dates == Submissions due: June 28, 2019 == Program Chairs == Contact: iswc2019-outrageous-idea at inria.fr Abraham Bernstein, University of Z?rich, Department of Informatics, Z?rich, Switzerland Maria Keet, University of Cape Town, Cape Town, South Africa 4. Call for Workshop papers ******************************************* ISWC is the premier venue for presenting innovative systems and research results related to the Semantic Web and Linked Data, attracting 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. Besides the main technical program, ISWC will host several workshops on topics related to the general theme of the conference. The role of the workshops is to provide a setting for focused, intensive scientific exchange among researchers and practitioners interested in a specific topic. As such, workshops are the primary venues for the exploration of emerging ideas as well as for the discussion of novel aspects of established research topics. Find our workshops & deadlines here: https://iswc2019.semanticweb.org/program-workshop/ 5. Call for Semantic Web Challenges systems ******************************************* ISWC 2019 will run multiple Challenges (SWCs) with the aim to evaluate and compare software solutions for the Semantic Web in a systematic way. Each SWC will: - Define a task to be addressed, - Provide a training and a test dataset and - Define evaluation measures to compare the performance of participating systems. Find our challenges & deadlines here: https://iswc2019.semanticweb.org/challenges/ 6. Student Travel Grants ******************************************* If you are a student interested in attending ISWC 2019, you may be eligible to apply for travel grants to support the costs of travel and lodging. This year, travel grants are funded by the Semantic Web Science Association (SWSA) and the U.S. National Science Foundation (NSF). Find more details and apply for a student travel award by following the steps here: https://iswc2019.semanticweb.org/student-travel-grants/ == Important Dates == Applications due: July 26, 2019 Notification: August 31, 2019 Looking forward to your submissions & see you all in Auckland! The ISWC 2019 Organising Team ( https://iswc2019.semanticweb.org/organizing-committee/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From events at esi-frankfurt.de Fri May 31 08:42:55 2019 From: events at esi-frankfurt.de (MFES, events) Date: Fri, 31 May 2019 12:42:55 +0000 Subject: Connectionists: 6th ESI Systems Neuroscience Conference "The recurrent cortex: feedback, dynamics, and dimensionality". Registration + Abstract submission are now open Message-ID: <46aab3f980ca4e54a911aaba4ec911ce@esi-frankfurt.de> 6th ESI Systems Neuroscience Conference "The recurrent cortex: feedback, dynamics, and dimensionality" 5-6 September 2019 Frankfurt am Main, Germany =========================================== The Ernst Str?ngmann Institute Systems Neuroscience Conference (ESI SyNC) 2019 will take place this year on September 5th and 6th at the Ernst Str?ngmann Institute in Frankfurt, Germany. This year's theme is 'The recurrent cortex: feedback, dynamics, and dimensionality'. The conference will feature eleven internationally renowned speakers who will give talks on neural feedback, signal dimensionality, and temporal dynamics. Ample time for both formal and informal discussion has been included in the schedule. There will also be a poster session for which we welcome submissions. Confirmed speakers =========================================== Sacha van Albada Alessandra Angelucci Carina Curto Peter Dayan Thomas Fraps Nikolaus Kriegeskorte Jakob Macke Tatyana Sharpee Fred Wolf Rafael Yuste Li Zhaoping Registration and abstract submission are now open! =========================================== For more information and to register for the conference or submit a poster presentation, please visit: www.esi-frankfurt.de/esisync/ Or contact: esi-sync at esi-frankfurt.de Limited spaces are available, so early registration is encouraged. Best Regards, The ESI SyNC 2019 organizing team: Wolf Singer Pascal Fries Renata Vajda William Barnes Christini Katsanevaki Katharine Shapcott Cem Uran Yiling Yang -------------- next part -------------- An HTML attachment was scrubbed... URL: From trungdung.ngo at gmail.com Fri May 31 15:24:00 2019 From: trungdung.ngo at gmail.com (Ngo Trung Dung) Date: Fri, 31 May 2019 16:24:00 -0300 Subject: Connectionists: [journals] 1st CFP: Special issue on Robotic Co-worker: Psychological and Cognitive Safety in Human-Robot Interactive Social Environments Message-ID: Dear Colleagues, We are pleased to invite you to submit your original works to our special issue on *Robotic Co-workers: Psychological and Cognitive Safety in Human-robot Interactive Social Environments* *IEEE Transactions on Cognitive and Development Systems* **Aim and Scope** In the vision of a cyber-society, humans and robots will closely collaborate to perform given tasks. Robots will automate mundane tasks and let humans focus on higher-order jobs requiring more cognitive skills. In this trend, professional and personal service robots are enabling assistive technologies in human-robot shared workspaces. However, the first and the most challenging issue with respect to deploying developmental and cognitive robots in human populated environments is how to guarantee human physical and cognitive safety in human-robot shared workspaces. Physical safety is about how to maintain a minimum physical distance between robots and humans, which is obviously necessary to deploy autonomous robots in human populated environments, while cognitive safety implies that robots should not cause stress and discomfort to humans when working with or around them. Human risks and their inconveniences when working in an interactive social environment essentially come from unavoidable situations due to robot malfunctioning operations caused by either misunderstanding and misinterpreting information extracted from sensing and perception or failures of path planning and motion control. Furthermore, humans may feel uncomfortable as well as fearful and stressful towards collaborative robots as such robots don?t behave in the natural way of humans with respect to their social situations, contexts, and cultures. It is important to find out a methodological approach for incorporating social signals, cues, and norms into developmental perception, cognitive reasoning and motion planning of the robot control architecture so that the robot is capable of securing human psychological and cognitive safety when interacting and collaborating with humans to perform tasks in human-robot shared workspaces. **Themes** The Special Issue aims to address challenges and methodologies of how to deal with psychological and cognitive safety in order to accelerate deployment and adoption of developmental and cognitive robots into human-robot shared workspaces. The ultimate goals of this special issue are to (1) to address the state-of-the-art research (2) and to generate an avenue for researchers to disseminate their recent research findings in the perspective of psychological and cognitive safety in human-robot shared workplaces. This special issue targets on all aspects of guaranteeing psychological and cognitive safety in human-robot interactive social environments with, but not limited to, the following topics: - *Current state-of-the-art*: future perspective of developmental and cognitive robots with concerns of ethics and rules for human psychological and cognitive safety in human-robot shared workspaces. - *Perception for psychological and cognitive safety*: capacity and roles of human face and body detection and tracking, human gestures and posture recognition, social cues and signal detection and identification, human-object interaction and human group interaction detection and tracking in satisfying psychological and cognitive safety. - *Cognitive reasoning, motion planning and control*: methodological development of human aware robot navigation, collaborative task performances in dynamic social environments with concerns of psychological and cognitive safety. - *Machine learning for developmental and cognitive robots*: using learning by demonstration, reinforcement learning, deep learning, and hierarchical learning to enhance psychological and cognitive safety in human-robot shared workplaces. - *Ergonomic studies of developmental and cognitive robots*: developmental and cognitive factors and benchmarks, evaluation methods, objective and subjective measurement metrics, experiments and validation methods for psychological and cognitive safety. - *Applications domains*: concerns of psychological and cognitive safety when working with developmental and cognitive robots in public places, light industry, digital manufacturing, and transformed manufacturing. **Submission Guideline** Manuscripts should be prepared according to the ?Information for Authors? of the journal found at https://cis.ieee.org/publications/t-cognitive-and-developmental-systems/tcds-information-for-authors and submissions should be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieee and please select the category ?SI: Psychological and Cognitive Safety?. **Important Dates** 31 December 2019 ? Deadline for manuscript submission 15 Apr 2020 ? Notification of authors 15 May 2020 ? Deadline for revised manuscripts 15 July 2020 ? Final version For further information, please contact one of the following Guest Editors. **Guest Editors** *Dr. Trung Dung Ngo, * University of Prince Edward Island, Canada, tngo at upei.ca *Dr. **Rachid Alami* , LAAS-CNRS , University of Toulouse, France Rachid.Alami at laas.fr *Dr. **Takayuki Kanda* , Kyoto University, Japan kanda at i.kyoto-u.ac.jp *Dr. **Goldie Nejat* University of Toronto, Canada nejat at mie.utoronto.ca *Dr. **Yongsheng Ou* , SIAT, Chinese Academy of Science, China ys.ou at siat.ac.cn Sincerely, Trung Ngo -------------- next part -------------- An HTML attachment was scrubbed... URL: