From francesco.masulli at unige.it Sat Jun 1 10:28:11 2019 From: francesco.masulli at unige.it (Francesco Masulli) Date: Sat, 1 Jun 2019 16:28:11 +0200 Subject: Connectionists: Post-Doc position in Short-Term Urban Traffic Forecasting Message-ID: <98a57e6d-8f36-9be4-44e6-e7924925466e@unige.it> An one-year funded Post-Doc position ("Assegno di ricerca") is available at DIBRIS - University of Genoa, (Italy). The deadline for application is 14 June 2019 at 12.00 (Italian time) and the fellowship should start in Sept-Oct 2019. (http://www.disi.unige.it/person/MasulliF/ricerca/Post-Doc-in-Genoa-2019.html) Project title: Short-Term Urban Traffic Forecasting Research activity:? In the last few years our research group developed the system ITACA (Intelligent TrAffic ForeCAster), an artificial intelligence tool based on fuzzy clustering and committees of neural networks able to forecast traffic in the short term using data collected from multiple sources. The forecasting horizon was from 5 to 10 minutes in the future. This project will concern the further development of the predictive model of short-term urban traffic using a machine learning approach, the engineering of the software developed, and the experimentation on the field with a pilot in the Municipality of Genoa. Required qualification: Machine learning and computational intelligence for data streams; Signal analysis; Computer programming Required degree: Master in Computer Science, Electronics, Telecommunications, Physics, or Mathematics. We are looking for a self-motivated candidate, interested in the mathematical aspects of her/his research, in the development of new methods for intelligent data analysis, and in technology transfer, and skilled in programming? and? in? thorough experimental data analysis. Candidates are invited to send their cv, a letter of? motivation, and the name/email-addresses of? some referees to Prof. Francesco Masulli A.S.A.P. -- <------------------------------------------------------------------------------------------ > Dr. Francesco Masulli Full Professor of Computer Science Chair of IEEE Italy Section Computational Intelligence Society Chapter tel. +39 010 353 6604 mob. +39 3493756686 fax. +39 010 353 6699 skype id: masulli email: francesco.masulli at unige.it francesco.masulli at gmail.com url: http://www.disi.unige.it/person/MasulliF DIBRIS - Dept of Informatics, Bioengineering, Robotics and Systems Engineering University of Genova - Via Dodecaneso 35, 16146 Genoa - ITALY <--------------------------------------------------------------------------------------- > From dwang at cse.ohio-state.edu Sun Jun 2 03:06:41 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Sun, 2 Jun 2019 03:06:41 -0400 Subject: Connectionists: NEURAL NETWORKS, June 2019 Message-ID: <43ec65e7-b07e-4443-5f80-615a0e03df7e@cse.ohio-state.edu> Neural Networks - Volume 114, June 2019 http://www.journals.elsevier.com/neural-networks Joint sparse graph and flexible embedding for graph-based semi-supervised learning F. Dornaika, Y. El Traboulsi Early Alzheimer?s disease diagnosis based on EEG spectral images using deep learning Xiaojun Bi, Haibo Wang Integrated information in the thermodynamic limit Miguel Aguilera, Ezequiel A. Di Paolo Contrastive Hebbian learning with random feedback weights Georgios Detorakis, Travis Bartley, Emre Neftci Attention Inspired Network: Steep learning curve in an invariant pattern recognition model Luis Sa-Couto, Andreas Wichert Robust capped L1-norm twin support vector machine Chunyan Wang, Qiaolin Ye, Peng Luo, Ning Ye, Liyong Fu Discriminative multi-source adaptation multi-feature co-regression for visual classification Jianwen Tao, Wei Dai Weighted contrastive divergence Enrique Romero, Ferran Mazzanti, Jordi Delgado, David Buchaca A collaborative neurodynamic approach to global and combinatorial optimization Hangjun Che, Jun Wang Improved result on state estimation for complex dynamical networks with time varying delays and stochastic sampling via sampled-data control M. Syed Ali, M. Usha, Zeynep Orman, Sabri Arik New stability results for Takagi?Sugeno fuzzy Cohen?Grossberg neural networks with multiple delays Selcuk Sevgen Exponential synchronization of time-varying delayed complex-valued neural networks under hybrid impulsive controllers Yu Kan, Jianquan Lu, Jianlong Qiu, Juergen Kurths Learning joint space?time?frequency features for EEG decoding on small labeled data Dongye Zhao, Fengzhen Tang, Bailu Si, Xisheng Feng Optimization of sampling intervals for tracking control of nonlinear systems: A game theoretic approach Avimanyu Sahoo, Vignesh Narayanan From gigglelmt at gmail.com Sun Jun 2 18:38:45 2019 From: gigglelmt at gmail.com (Gigg Liu) Date: Mon, 3 Jun 2019 06:38:45 +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. June 9th, 2019: Full Papers; Demo papers; Tutorial proposals 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 bam_sumit at hotmail.com Sun Jun 2 22:17:19 2019 From: bam_sumit at hotmail.com (sumit bam shrestha) Date: Mon, 3 Jun 2019 02:17:19 +0000 Subject: Connectionists: Neuromorphic Computing Research Position at National University of Singapore Message-ID: The Neuromorphic group of NUS (National University of Singapore) is offering multiple positions to potential Post-Docs and Research Associate. You will be working in the field of neuromorphic engineering, especially from an algorithmic perspective, in an ongoing collaboration with A*STAR(Agency for Science, Technology and Research) on their efficient neuromorphic computing program. In addition, you will have an opportunity to work on cutting edge neuromorphic processors such as IBM's TrueNorth and Intel's Loihi. Preference will be given to candidates with experience in: Spiking Neural Network Machine Learning Computer Vision Neuromorphic Engineering Embedded Hardware Here is the link to the team website: https://nusneuromorphic.github.io/openings/index.html Interested candidates are requested to contact Sumit Bam Shrestha (tslsbs at nus.edu.sg) along with their CV. Thank you for your interest. Regards, Sumit Bam Shrestha, Research Scientist, Temasek Laboratories @ National University of Singapore -------------- next part -------------- An HTML attachment was scrubbed... URL: From pstone at cs.utexas.edu Sun Jun 2 23:28:38 2019 From: pstone at cs.utexas.edu (Peter Stone) Date: Sun, 02 Jun 2019 22:28:38 -0500 Subject: Connectionists: Cogitai's Continua Platform for Reinforcement Learning Message-ID: <14596.1559532518@cs.utexas.edu> [Apologies if you receive this message more than once.] Colleagues, Cogitai is pleased to announce the release of "Continua", our platform for general purpose reinforcement learning. Continua has been designed and built specifically for commercial applications, but is usable by everyone with a 40-day free trial. Continua has many of the most popular RL algorithms embedded, as well as some of our own innovations. Our tutorials are designed to make it quick and easy for you to experiment with RL algorithms in new domains. If you'd like to try it out, you can access it here: https://continua.cogitai.com/ Our website has two videos explaining our technology. The first is aimed mostly at potential industrial customers, but the second may be of broader interest to those of you in academia. https://www.cogitai.com/ You can also find use cases, and product overview at the following links. https://www.cogitai.com/use-cases/ https://www.cogitai.com/wp-content/uploads/2019/02/CogitAI-Product-Brief-020819.pdf If you have any questions, please don't hesitate to reach out to us. And of course feel free to forward this message on to anyone whom you think might be interested. Best, Peter ----- Peter Stone President and COO Cogitai, Inc. www.cogitai.com From irina.illina at loria.fr Sun Jun 2 15:42:10 2019 From: irina.illina at loria.fr (Irina Illina) Date: Sun, 2 Jun 2019 21:42:10 +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: <1315593975.6557177.1558278506403.JavaMail.zimbra@loria.fr> References: <2005069269.1364399.1555270368126.JavaMail.zimbra@loria.fr> <1315593975.6557177.1558278506403.JavaMail.zimbra@loria.fr> Message-ID: <1732847165.14924829.1559504530484.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 : June 30th, 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. -------------- next part -------------- An HTML attachment was scrubbed... URL: From bogdanlapi at gmail.com Mon Jun 3 13:30:45 2019 From: bogdanlapi at gmail.com (Bogdan Ionescu) Date: Mon, 3 Jun 2019 20:30:45 +0300 Subject: Connectionists: 2nd Call-for-Participation & testset release: MediaEval 2019 Predicting Video Memorability Task Message-ID: [Apologies for cross-postings] ******************************************************* 2nd CALL FOR PARTICIPATION & TEST 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 (released) Test data release: 3 June Runs due: 20 September Working notes papers due: 11 October MediaEval Workshop, Nice, France: 27-29 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 mail at mkaiser.de Mon Jun 3 09:10:45 2019 From: mail at mkaiser.de (Marcus Kaiser) Date: Mon, 3 Jun 2019 14:10:45 +0100 Subject: Connectionists: PostDoc position: developing computational models of disease progression in dementia Message-ID: Dear all, a 2.5-year PostDoc position for developing computational models of disease progression in dementia patients is available within my lab. * About the project* The most ideal time to intervene with disease-modifying treatment is early on before significant neurodegenerative change and neuronal loss has occurred. However, another highly relevant consideration is improvements in subtype diagnosis i.e. determination of the type of neurodegenerative process giving rise to dementia. Differentiation is crucial as there are different management trajectories for each disease; for example, neuroleptic drugs which are given to AD can be fatal in the DLB group. Promising preliminary data, using simulation of disease progression, suggest that we may be able to make an early diagnosis even when subtle changes cannot be detected with the current machine learning approach. Going beyond machine learning subtype classification, our study aims to develop a simulation-based model of disease progression that can facilitate early treatment of the disease leading to improved outcomes for patients and reduced overall healthcare costs. *Available RA position* As part of this project, the lab of Prof. Marcus Kaiser ( http://www.dynamic-connectome.org/ ), with joint supervision from the lab of Dr John-Paul Taylor (https://www.lewybodylab.org/ ), are seeking a talented and enthusiastic research assistant with a PhD awarded, or a PhD thesis about to be submitted, in computational biology or related subjects; prior experience in the neurosciences is desirable. The aim of this joint project, between Newcastle University and Korea University, is to developing more accurate dementia progression models that can inform diagnosis and treatment of patients using neuroimaging (MRI and PET) data. Objectives of this position are, first, to observe brain network features of dementia patients and how these features are changing with disease progression. Second, to develop computational models of how structural and functional connectivity will change over time in these patients. Third, testing whether the models can reproduce the actual progression and to test different hypotheses about the underlying causes of brain network changes. Good communication skills, very strong dynamics modelling skills, and a track record of previous peer-reviewed journal publications. You will have experience with neuroimaging and/or computer simulations. The position will include visits to our collaborators in South Korea (Profs Cheol Han and Hyun-Ghang Jeong, Korea University). *Research Environment* Neuroinformatics at Newcastle University in the UK covers a range of topics from electrophysiology to neuroimaging. We are among the pioneers in connectome analysis and the establishment computational models to inform interventions in patients, e.g. through the ?10m Wellcome Trust/EPSRC-funded CANDO project. Our strength is a close collaboration between computational, experimental, and clinical researchers. We currently have a team of 13 faculty members in the areas of Neuroinformatics and Neurotechnology: http://neuroinformatics.ncl.ac.uk/ Best, Marcus -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group School of Computing Urban Sciences Building Newcastle University 1 Science Square Science Central Newcastle upon Tyne NE5 5TG UK Lab website: http://www.dynamic-connectome.org/ Neuroinformatics at Newcastle: http://neuroinformatics.ncl.ac.uk/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Mark.Humphries at nottingham.ac.uk Mon Jun 3 09:07:13 2019 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Mon, 3 Jun 2019 13:07:13 +0000 Subject: Connectionists: Independent Research Fellow in Neural Data Science (UK) In-Reply-To: References: , , Message-ID: The University of Nottingham is investing in a major new research capacity in computational neuroscience. As part of this investment, we seek applications for a 2-year independent fellowship in Neural Data Science. The position is ideal for researchers with a clear vision to start their own research programme in a supportive, multi-disciplinary environment. We seek candidates positioned to join us in advancing the field of neural data science. This newly emerging discipline develops and uses the full gamut of modern computational techniques on neural data, to answer scientific questions about the brain. Candidates should be able to demonstrate a track record of quality research, and be able to independently manage their research. The Fellow will be attached to the Humphries's lab (https://www.humphries-lab.org/) for mentoring and scientific guidance, but work independently. For more on neural data science, see our guide: https://medium.com/the-spike/a-neural-data-science-how-and-why-d7e3969086f2 For full details of the role and to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI168019 Please send informal enquiries to Professor 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 Mark.Humphries at nottingham.ac.uk Mon Jun 3 09:01:26 2019 From: Mark.Humphries at nottingham.ac.uk (Mark Humphries) Date: Mon, 3 Jun 2019 13:01:26 +0000 Subject: Connectionists: Registration deadline soon (June 21st) for the UK Neural Computation 2019 meeting In-Reply-To: References: , Message-ID: A reminder that the registration deadline for the UK Neural Computation 2019 meeting is June 21st. Please register here: https://drmdhumphries.wixsite.com/ukneuralcomp2019/registration For full programme details please see the website: https://drmdhumphries.wixsite.com/ukneuralcomp2019 Confirmed speakers: Athena Akrami / Andy Barron / Tim Behrens / Claudia Clopath / Matthias Hennig / Simon Laughlin / Rosalyn Moran / Cian O'Donnell / Chris Summerfield / Tim Vogels / Barbara Webb Kind regards Mark Humphries (Chair) Hannes Saal, Robert Schmidt, and Stuart Wilson (Organising committee) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Mon Jun 3 11:08:22 2019 From: Pavis at iit.it (Pavis) Date: Mon, 3 Jun 2019 15:08:22 +0000 Subject: Connectionists: Postdoctoral position in Machine Learning applied to Neuroimaging and Brain Connectivity - 77047 In-Reply-To: References: Message-ID: <5535d69d4b4d4560917d900cabf3c165@iit.it> Postdoctoral position in Machine Learning applied to Neuroimaging and Brain Connectivity - 77047 Workplace: IIT Genova, Italy Added on: 31/05/2019 - Expires on: 15/06/2019 The Pattern Analysis and Computer Vision Research Line (https://pavis.iit.it/) at Istituto Italiano di Tecnologia is looking for a highly motivated post-doc with background in machine learning applied to neuroimaging data (fMRI, dTI, MEG, EEG, etc.). The position is in the context of the project ?The role of brain network connectivity and machine learning for predicting disease worsening and cognitive impairment in patients with multiple sclerosis? in collaboration with the Institute of Experimental Neurology at Ospedale San Raffaele, supported by FISM, Fondazione Italiana Sclerosi Multipla onlus, gran n? cod. 2018/R/5 ? cup F46C19000000001. The project is focused on the development of machine learning algorithms and advanced computational methods for the analysis of brain imaging data recorded from multiple sclerosis (MS) patients. The interest is mainly in brain connectivity and how this relates with the disease. The aim is to support the prediction of long-term prognosis in MS. The research line will address problems such as the association of white-matter (dis)-connections with MS phenotypes, integration of functional and structural connectivity, definition of connectivity biomarkers used in long-term prediction of MS clinical worsening, etc... Candidates for this position should have a Ph.D. in machine learning, pattern recognition, computer vision, mathematics or related areas. Research experience on the analysis of brain imaging data and brain connectivity will be privileged. Strong programming skill is required. Evidence of high quality research on the above-specified areas in the form of published papers in top conferences/journals and/or patents is mandatory. Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The scientist is expected to publish his/her research results in leading international journals and conferences. She/he is also expected to contribute to the set-up of new project proposals, participate in funding activities, helping with the supervision of PhD candidates and collaborate with scientists from different disciplines. Salary will be in line with international standard. The working location is Genova, Italy. Further details and informal enquires can be made by email to pavis at iit.it quoting PAVIS-PD 77047 as reference number in the subject. To send your application please write an email to pavis at iit.it, quoting ?PAVIS-PD 77047? as reference number, along with a curriculum vitae a research statement also describing your previous research experience and outlining its relevance to the call topics and the name and contacts of at least 2 referees. This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by June 15, 2019. Fondazione Istituto Italiano di Tecnologia (http://www.iit.it) is a non-profit institution created with the objective of promoting technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology. PAVIS focuses on the analysis and understanding of multimodal data, like signals, images, videos and patterns in general, having a wide expertise on image and signal processing, computer vision, pattern recognition and machine learning. The attention is on the design of intelligent systems for real applications, especially related, but not limited, to surveillance & security and biomedical imaging. More info on https://pavis.iit.it/ Please note that the data that you provide will be used exclusively for the purpose of professional profiles? evaluation and selection, and in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo[at]iit.it) Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. -------------- next part -------------- An HTML attachment was scrubbed... URL: From mlsp at neuro.kuleuven.be Tue Jun 4 04:55:48 2019 From: mlsp at neuro.kuleuven.be (2019 IEEE International Workshop on Machine Learning fo Signal Processing) Date: Tue, 4 Jun 2019 10:55:48 +0200 Subject: Connectionists: MLSP2019 - submission deadline extended to 19 June 2019 In-Reply-To: <73153cd2-4ce9-ba14-6226-62d82e832c83@neuro.kuleuven.be> References: <73153cd2-4ce9-ba14-6226-62d82e832c83@neuro.kuleuven.be> Message-ID: MLSP2019 submission deadline extended to 19 June 2019 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 19, 2019 (extended) 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 benoit.frenay at unamur.be Tue Jun 4 05:19:13 2019 From: benoit.frenay at unamur.be (=?UTF-8?B?QmVub8OudCBGcsOpbmF5?=) Date: Tue, 4 Jun 2019 11:19:13 +0200 Subject: Connectionists: Deadline extension AIMLAI-XKDD@ECMLPKDD19: Joint International Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence & eXplainable Knowledge Discovery in Data Mining Message-ID: <3b1274b0-a59b-a188-2c1c-a11648695068@unamur.be> The deadline has been extended to *June 14th* for *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 14, 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 julien.vitay at informatik.tu-chemnitz.de Tue Jun 4 05:30:53 2019 From: julien.vitay at informatik.tu-chemnitz.de (Julien Vitay) Date: Tue, 4 Jun 2019 11:30:53 +0200 Subject: Connectionists: PhD / Postdoc Position in Neurocomputing at TU Chemnitz (Germany) Message-ID: A PostDoc or Ph.D. position is available at the Chemnitz University of Technology in the Department of Computer Science. The position is initially until 31.12.2021, starting as soon as possible. The research position is funded by the state of Saxony AI initiative. The goal in our project is to develop brain-inspired cognitive architectures, particularly regarding recurrent dynamics in the prefrontal cortex and their shaping by reinforcement learning processes in the basal ganglia. The proposed neuro-computational approach will rely on reward-modulated recurrent networks (reservoir computing) using closed-loop interactions with the basal ganglia and the thalamus. The model will be tested against behavioral and physiological data and its functional properties will be compared to classical machine learning approaches. The ideal candidate should have prior experience in neural networks, neurocomputing or computational neuroscience and sufficient programming experience. Very good English reading and speaking skills are required. German language skills are not required, but the willingness to learn German would be useful. The salary is according to German standards (E 13 TV-L, 75%). The university is an equal opportunity employer. Women are encouraged to apply. Disabled applicants will receive priority in case they have equal qualifications. Chemnitz is the third-largest city of the state of Saxony and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture. Applications should be sent by email (preferably in PDF format) to ( fred.hamker at informatik.tu-chemnitz.de) as soon as possible. Applications will be considered until the position is filled. Prof. Dr. Fred Hamker Ku?nstliche Intelligenz Fakult?t fu?r Informatik TU Chemnitz 09107 Chemnitz www: https://www.tu-chemnitz.de/informatik/KI/index.php.en -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Tue Jun 4 10:19:22 2019 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Tue, 4 Jun 2019 14:19:22 +0000 Subject: Connectionists: Two Postdoc Fellowships in Machine Learning for Mental Health Care Technology, University of Oslo, Norway Message-ID: <0BDED14C-494B-48D4-8B6A-98F4E4E0FC60@ifi.uio.no> [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 to develop a patient monitoring and support system using smartphone technology and built-in sensors as well as other 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: 9th June, 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 Pavis at iit.it Tue Jun 4 10:04:14 2019 From: Pavis at iit.it (Pavis) Date: Tue, 4 Jun 2019 14:04:14 +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: 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 melaahi2 at gmail.com Tue Jun 4 09:30:59 2019 From: melaahi2 at gmail.com (M Elahi) Date: Tue, 4 Jun 2019 15:30:59 +0200 Subject: Connectionists: MA14KD RELEASE: Visual Attraction of 14000 Movie Trailers In-Reply-To: References: Message-ID: *DATASET RELEASE* *=======================================================================================* We are delighted to announce the release of the *MA14KD (Movie Attraction 14K Dataset) Dataset*: Visual Attraction of 14000 Movie Trailers This dataset is intended to serve the community for research on Multimedia Retrieval, Multimedia Recommender Systems, and Computer Vision. *SUMMARY* *=======================================================================================* MA14KD provides a set of ?Attractiveness" features extracted from 14000 movie and tv series trailers. The movie IDs are in agreement with the movie IDs provided by a rating dataset, that contains millions of ratings and thousands of tags. *INFORMATION* *=======================================================================================* MA14KD dataset provides the following 10 VISUAL features: - f1: Sharpness - f2: Sharpness Variation - f3: Contrast - f4: RGB Contrast - f5: Saturation - f6: Saturation variation - f7: Brightness - f8: Colorfulness - f9: Entropy - f10: Naturalness *DOWNLOAD LINKS* *==============================================================================* - The MA14KD *[ORIGINAL]* Dataset can be downloaded at: https://www.researchgate.net/publication/333579741_MA14KD_ORIGINAL_Dataset_Description_Visual_Attraction_of_Movie_Trailers - The *[AGGREGATED]* features of this dataset can be downloaded at: https://www.researchgate.net/publication/333579748_MA14KD_AGGREGATED_Dataset_Description_Visual_Attraction_of_Movie_Trailers *COLLABORATORS* *==============================================================================* The list of collaborators is the following: - Mehdi Elahi: http://www.linkedin.com/in/mehdielahi - Farshad B. Moghaddam: https://github.com/fmoghaddam - Reza Hosseini https://www.linkedin.com/in/reza-hoseini/ - Christoph Trattner: https://www.christophtrattner.info - Marko Tkal?i?: http://markotkalcic.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Tue Jun 4 11:44:17 2019 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Tue, 4 Jun 2019 17:44:17 +0200 Subject: Connectionists: Post-doc Position in Open-Ended Deep Reinforcement Learning Message-ID: We have an opening for a post-doc position in my lab (http://fias.uni-frankfurt.de/en/neuro/triesch) at the Frankfurt Institute for Advanced Studies (FIAS) to study Open-Ended Deep Reinforcement Learning in simulated robots. We study systems that effectively learn to control their bodies and their environment by defining their own learning goals, practicing the skills for achieving these goals and setting themselves progressively harder goals. The work will be performed in the context of the European GOAL-Robots project (http://www.goal-robots.eu). For a quick overview of the project, check out this video: https://youtu.be/sordZmyp8u8. The focus of this post-doc position will be on simulated humanoids learning visually guided object interaction. We are seeking an outstanding and highly motivated post-doc for this project. Applicants should have obtained a PhD in Machine Learning, Robotics, or a closely related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning, robotics, and vision. An interest in cognitive development in human infants is a plus. The Frankfurt Institute for Advanced Studies (https://fias.institute/en/) is a research institution dedicated to fundamental theoretical research in various areas of science. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe. It boasts a rich culture and arts community and repeatedly earns high rankings in worldwide surveys of quality of living. Applications should be sent as a single pdf file to triesch at fias.uni-frankfurt.de. Please include a brief statement of research interests, CV, and contact information for at least two references. The position can be filled immediately and applications will be reviewed on a continuing basis. The initial appointment will be for one year. -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611 From kay at umn.edu Tue Jun 4 15:52:50 2019 From: kay at umn.edu (Kendrick Kay) Date: Tue, 4 Jun 2019 14:52:50 -0500 Subject: Connectionists: Last call for CCN 2019 submissions! Message-ID: <03E07546-06C1-482A-946D-D0808D2AC500@gmail.com> The deadline for paper/abstract submissions to CCN (Cognitive Computational Neuroscience) is Friday, June 7, 2019. See http://ccneuro.org for details. CCN will be held September 13?16, 2019 in Berlin. This year's conference includes an exciting list of keynote speakers: Tim Behrens Anne Churchland Roshan Cools Nathaniel Daw Nando De Freitas Talia Konkle Mate Lengyel Bernhard Schoelkopf Liz Spelke And we will continue to hold our innovative special events, including mind-matching, breakouts, and challenges and controversies. See you in Berlin! - CCN Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From cristobal.nettle at gmail.com Tue Jun 4 15:49:47 2019 From: cristobal.nettle at gmail.com (Cristobal Jesus Nettle Vacher) Date: Tue, 4 Jun 2019 15:49:47 -0400 Subject: Connectionists: =?utf-8?q?=5BCRoNe2019=5D_Call_for_Papers_and_Wor?= =?utf-8?q?kshops_Proposals=2C_October=2C_Valpara=C3=ADso-Chile?= In-Reply-To: References: <201915051706.fbdx6awbj@ai.d.mailin.fr> Message-ID: [Apologies if you receive multiple copies of this CFP due to cross-posting] *Dear Author,* It is our pleasure to personally invite you to contribute with a paper for poster or oral presentation and/or a workshop proposal to the Fifth Congress on Robotics and Neuroscience (CRoNe ), to be held in Valpara?so, Chile. Organizing committee belongs to the Innovation and Robotics Students group at UTFSM, which calls an appropriate program committee, aiming to be a strong meeting point for people from engineering, human and biological sciences for developing and understanding complex intelligent systems. Submit through EasyChair *Articles* Submit an *abstract* up to 1500 characters until *June 14th*. Submitted papers must consider: - A maximum extension of 7 pages. - Uploaded in PDF format. - Must follow one-column Latex template available here . Last congress proceedings volume from previous version was published on CEUR-WS.org series, and it has been indexed by Scopus and Scholar Google. View detailed Call for Posters *Workshops* Submit a proposal until *June 14th (extended)*, including: - Topics and goals up to 800 words. - Organizational details. - Motivation and scientific relevance to the conference audience. Each workshop will be assigned a number of slots (from 1 to 3 slots) during the conference days. A slot can vary from 1 to 2.5 hours. View detailed Call for Workshops Innovaci?n y Rob?tica Estudiantil UTFSM Congress on Robotics and Neuroscience crone at innovacionyrobotica.com <#m_-9028226135115156635_m_5491415316867697348_m_-51904527749105> [image: Facebook] [image: Instagram] If you wish to unsubscribe from our newsletter, click here [image: Mailin] _______________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CFW2019.pdf Type: application/pdf Size: 111310 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CFP2019.pdf Type: application/pdf Size: 299539 bytes Desc: not available URL: From hongzhi.kuai at gmail.com Wed Jun 5 10:06:18 2019 From: hongzhi.kuai at gmail.com (Hongzhi Kuai) Date: Wed, 5 Jun 2019 23:06:18 +0900 Subject: Connectionists: Call for Papers: Brain Informatics 2019 In-Reply-To: <5cf7c7ae.1c69fb81.60dd2.0b5c@mx.google.com> References: <5cf7c7ae.1c69fb81.60dd2.0b5c@mx.google.com> Message-ID: <5cf7cc5a.1c69fb81.2a759.c0c6@mx.google.com> [Apologies if you receive this more than once]? CALL FOR PAPERS The 12th International Conference on Brain Informatics (BI'19) December 13-15, 2019, Hainan, China http://wi-consortium.org/conferences/bi2019/ --- Brain Science meets Artificial Intelligence --- ====================================== Workshop/special session/Tutorial proposals Submission deadline: June 20, 2019 Full papers Submission deadline: June 30, 2019 ====================================== The International Conference on Brain Informatics series (BI) has established itself as the world?s premier research conference on Brain Informatics, which is an emerging interdisciplinary and multidisciplinary research field that combines the efforts of Cognitive Science, Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI), and Information and Communication Technology (ICT) to explore the main problems that lie in the interplay between human brain studies and informatics research. The BI?19 provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on brain Informatics research, brain-inspired technologies and brain/mental health applications.? The BI'19 solicits high-quality original research and application papers (both full paper and abstract submissions). Relevant topics include but are not limited to:? Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing Paper Submission and Publications Paper Submission: Full papers should be limited to a maximum of 10 pages including figures and references in Springer LNCS Proceedings format. All papers will be peer-reviewed and accepted based on originality, significance of contribution, technical merit, and presentation quality.? All papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. Research Abstract: Research abstracts are encouraged and will be accepted for presentations in an oral presentation format and/or poster presentation format. Each abstract submission should include the title of the paper and an abstract body within 500 words. Journal Opportunities: High-quality BI conference papers will be nominated for a fast-track review and publication at the Brain Informatics Journal (https://braininformatics.springeropen.com/), an international, peer-reviewed, interdisciplinary Open Access journal published by Springer Nature. Discount or no open access article-processing fee will be charged for BI conference paper authors. Special Issues & Books: Workshop/special session organizers and BI conference session chairs may consider and can be invited to prepare a book proposal of special topics for possible book publication in the Springer-Nature Brain Informatics & Health Book Series (https://www.springer.com/series/15148), or a special issue at the Brain Informatics Journal (https://braininformatics.springeropen.com/). IMPORTANT DATES:??????????????? ================ June 20, 2019: Submission deadline for workshop/special session/Tutorial proposals June 25, 2019: Notification of workshop/special session proposal acceptance June 30, 2019: Submission deadline for full papers June 30, 2019: Submission deadline for workshop/special session papers August 8, 2019: Notification of full paper acceptance August 8, 2019: Notification of workshop/special session paper acceptance July 30, 2019: Submission deadline for abstracts August 20, 2019: Notification of abstract acceptance December 13, 2019: Tutorials, workshops and special sessions December 14 - 15, 2019: Main conference Conference Venue =============== Hainan University Haikou, at Hainan Island, China ORGANIZERS =========== General Chair Qingming Luo (Hainan University, China) Program Chairs Peipeng Liang (Capital Normal University, China) Vinod Goel (York University, Canada) Chunlei Shan (Shanghai U. Traditional Chinese, Medicine, China) Organizing Chairs Xin Lou (Chinese PLA General Hospital, China) Nan Ma (Beijing Union University, China) Feng Xu (Tsinghua University, China) Workshop/Special-Session Chairs Yang Yang (Maebashi Institute of Technology, Japan) Mufti Mahmud (Nottingham Trent University, UK) Publicity Chairs Zhiqi Mao (Chinese PLA General Hospital, China) M Shamim Kaiser (Jahangirnagar University, Bangladesh) Steering Chairs Qionghai Dai (Tsinghua University, China) Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** Yang Yang Email: yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From tony.pipe at brl.ac.uk Wed Jun 5 08:58:21 2019 From: tony.pipe at brl.ac.uk (Tony Pipe) Date: Wed, 5 Jun 2019 12:58:21 +0000 Subject: Connectionists: Research Fellow in Connected Autonomous Vehicle 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: <064b08fa-416d-59e9-204b-94bda5d69425@brl.ac.uk> 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. -- 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 hlinka at cs.cas.cz Wed Jun 5 03:38:59 2019 From: hlinka at cs.cas.cz (Jaroslav Hlinka) Date: Wed, 5 Jun 2019 09:38:59 +0200 Subject: Connectionists: Research Fellow/Postdoc positions in Complex Networks and Brain Dynamics Message-ID: <55ba6ceb-e082-75d9-dadf-3ea6b4540cca@cs.cas.cz> We are looking for new team members to join the Complex Networks and Brain Dynamics group to work on its interdisciplinary projects. The group is part of the Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences - based in Prague, Czech Republic. We focus on the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function. Our main research areas are neuroimaging data analysis (fMRI & EEG, iEEG, anatomical and diffusion MRI), brain dynamics modelling, causality and information flow inference, nonlinearity and nonstationarity, graph theory, machine learning and multivariate statistics; with applications in neuroscience, climate research, economics and general communication networks. More information about the group at _http://cobra.cs.cas.cz/_. Conditions * Contract is for 6-18 months duration. * Positions are available from 1.7.2019 or upon agreement. * Applications will be reviewed on a rolling basis until 31.10.2019. * This is a full-time fixed term contract appointment. Part time contract negotiable. * Monthly gross salary: 30000 - 55000 CZK based on qualifications and experience. _Cost Of Living Comparison _ * Bonuses and travel funding for conferences and research stays depending on performance. * No teaching duties * Applicants should: 1. Hold a PhD. (/PhD student/research assistant positions available as well, //see informal inquiries contact below/). 2. *Have strong data analysis, statistical, mathematical modelling and/or machine learning skills with practical programming experience.* 3. Be fluent in English. * *We seek curious, self-motivated, hard-working, team-spirited researchers* * *Prior experience with time series and network analysis is advantageous, but not required * * The applications are to be sent to _ics at cs.cas.cz _and should contain: 1. Curriculum Vitae. 2. Two letters of recommendation. The referees should send their recommendations directly to _ics at cs.cas.cz _. 3. A proof of the obtained degree. *Informal inquires can be sent to **the group leader **Jaroslav Hlinka, *_*hlinka[at]cs.cas.cz* _*.* -- Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 07, Czech Republic Tel: (+420) 26605 3808 E-mail: hlinka at cs.cas.cz Web: http://www.cs.cas.cz/hlinka/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From dlinnlp at gmail.com Wed Jun 5 07:32:34 2019 From: dlinnlp at gmail.com (Slavi Slavov) Date: Wed, 5 Jun 2019 14:32:34 +0300 Subject: Connectionists: EUROPHRAS 2019 Last call for abstracts Message-ID: *** EUROPHRAS 2019 Last call for submission of abstracts *** This is the last call for submitting abstracts to EUROPHRAS 2019 for which the deadline is 15 June 2019. All information about submission guidelines, post-conference publication opportunities and the conference itself can be found on the EUROPHRAS 2019 website here . Spanish version is available here . -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtkostecki at gmail.com Wed Jun 5 10:40:20 2019 From: mtkostecki at gmail.com (Mateusz Kostecki) Date: Wed, 5 Jun 2019 16:40:20 +0200 Subject: Connectionists: Nencki Open Lab Summer School Message-ID: Dear all, we are happy to announce Nencki Open Lab Summer School on Behavioral Neuroscience. The school is designed to give participants a set of skills useful in behavioral paradigm development - Python programming, Arduino, electronics, 3D printing, behavioural data analysis and more. In the meantime - lectures, discussions and debates. Deadline for applications is July 2nd. More info - https://nenckiopenlab.org/school/ We will be very grateful for sharing the info! Best, Mateusz Kostecki Nencki Institute for Experimental Biology -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Wed Jun 5 16:22:05 2019 From: benoit.frenay at unamur.be (Benoit Frenay) Date: Wed, 5 Jun 2019 22:22:05 +0200 Subject: Connectionists: Deadline extension 1st Int. W. on Education through Advanced Software Engineering and Artificial Intelligence Message-ID: <9eaaf6c0-7851-13e9-36a7-739274dee416@unamur.be> Deadline has been extended to *June 10th* for 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. 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 10th, 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 irina.illina at loria.fr Wed Jun 5 17:15:31 2019 From: irina.illina at loria.fr (Irina Illina) Date: Wed, 5 Jun 2019 23:15:31 +0200 (CEST) Subject: Connectionists: PhDThesis position in NLP : Automatic classification using deep learning of hate speech posted on the Internet In-Reply-To: <346485185.17720043.1559769199628.JavaMail.zimbra@loria.fr> References: <346485185.17720043.1559769199628.JavaMail.zimbra@loria.fr> Message-ID: <721816452.17720098.1559769331701.JavaMail.zimbra@loria.fr> Automatic classification using deep learning of hate speech posted on the Internet Supervisors: Irina Illina, MdC, HDR, Dominique Fohr, CR CNRS Team: Multispeech, LORIA-INRIA, France Contact: illina at loria.fr, dominique.fohr at loria.fr Duration of PhD Thesis : 3 years Deadline to apply : June 30th, 2019 Required skills: background in statistics, natural language processing and computer program skills (Perl, Python). Candidates should email a detailed CV with diploma Keywords: hate speech, social media, natural language processing. The rapid development of the Internet and social networks has brought great benefits to women and men in their daily lives. Unfortunately, the dark side of these benefits has led to an increase in hate speech and terrorism as the most common and powerful threats on a global scale. Hate speech is a type of offensive communication mechanism that expresses an ideology of hatred often using stereotypes. Hate speech can target different societal characteristics such as gender, religion, race, disability, etc. Hate speech is the subject of different national and international legal frameworks. Hate speech is a type of terrorism and often follows a terrorist incident or event. Social networks are incredibly popular today. Nowadays, Twitter, LinkedIn, Facebook and YouTube are used as a standard tool for communicating ideas, beliefs and feelings. Only a small percentage of people use part of the network for unhealthy activities such as hate speech and terrorism. But the impact of this low percentage of users is extremely damaging . For years, social media companies such as Twitter, Facebook and YouTube have invested hundreds of millions of dollars each year in the task of detecting, classifying and moderating hate. But these efforts are mainly based on manually revising the content to identify and remove offensive content, which is extremely expensive. This thesis aims at designing automatic and evolving methods for the classification of hate speech in the field of social media. Despite the studies already published on this subject, the results show that the task remains very difficult. We will use semantic content analysis methodologies from automatic language processing (NLP) and methodologies based on deep learning (DNN) which is the revolution in the field of artificial intelligence. During this thesis, we will develop a research protocol to classify hate speech in the text in terms of hateful, aggressive, insulting, ironic, neutral, etc. character . This type of problem is placed in the context of the multi-label classification . In addition, the problem of obfuscation of words in hate messages will need to be addressed . People who want to write hate speech on the Internet know that they risk being censored by rudimentary automatic systems of moderation. So, users try to obscure their words by changing the spelling or the spelling of words. Among the crucial points of this thesis are the choice of the DNN architecture and the relevant representation of the data, ie the text of the internet message. The system designed will be validated on real flows of social networks. Skills Strong background in mathematics, machine learning (DNN), statistics Following profiles are welcome, either: Strong experience with natural language processing Excellent English writing and speaking skills are required in any case. References : T Gr?ndahl, L Pajola, M Juuti, M Conti, N Asokan (2018) ? All You Need is? Love?: Evading Hate-speech Detection , arXiv preprint arXiv:1808.09115 Wiegand, M., Klakow, D. (2008). Optimizing Language Models for Polarity Classification. In Proceedings of ECIR , pp. 612-616. Wiegand, M., Ruppenhofer, J. (2015). Opinion Holder and Target Extraction based on the Induction of Verbal Categories. In Proceedings of CoNLL , pp. 215-225. Wiegand , M. , Ruppenhofer J., Schmidt A., C. Greenberg (2018) Inducing a Lexicon of Abusive Words ? A Feature-Based Approach. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Wiegand, M., Wolf, M., Ruppenhofer, J. (2017) Negation Modeling for German Polarity Classification. In Proceedings of GSCL. Zhang Z., Luo L. (2018). Hate speech detection: a solved problem? The Challenging Case of Long Tail on Twitter. arxiv.org/pdf/1803.03662 -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Thu Jun 6 06:59:26 2019 From: Pavis at iit.it (Pavis) Date: Thu, 6 Jun 2019 10:59:26 +0000 Subject: Connectionists: Postdoc Position on Simultaneous Localisation and Mapping (SLAM) for next generation visual inspection at Istituto Italiano di Tecnologia (IIT - Genova) - [ Postdoc ] 76750 In-Reply-To: References: , Message-ID: <12e14644f6ab4b69a3596e68c1053279@iit.it> Postdoc Position on Simultaneous Localisation and Mapping (SLAM) for next generation visual inspection at Istituto Italiano di Tecnologia (IIT - Genova) - [ Postdoc ] Workplace: Genova, IIT, Italy The Visual Geometry and Modelling (VGM, https://vgm.iit.it/) Research Line at Istituto Italiano di Tecnologia (IIT) invites qualified applicants to submit their CV?s for a Postdoc position in Genova, Italy under the supervision of Dr. Alessio Del Bue. The VGM mission is to provide computational tools for the digitisation, interpretation and understanding of large-scale 3D information extracted from multi-sensor inputs (video, audio, thermal cameras, IMU and other sources). The scientific core of the VGM Lab is related to the research fields of Computer Vision, Signal Processing and Machine Learning with the primary goal to provide algorithms for: ? Dynamic 3D scene understanding from video and RGBD data; ? Representation and Interpretation of 3D data using semantic and contextual information; ? Large-scale data understanding and modelling for Life Science and Engineering. The Lab expertise is also applied to several practical and challenging problems in the industry with ongoing collaboration with world-leading companies in machine vision, robotics, automation, energy, avionics, photonics and fashion industries. To this end, this call aims at consolidating VGM expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The postdoc will work on 3D scene understanding using multi-sensor data with topics related to simultaneous localisation and mapping (SLAM) for the efficient inspection of large-scale infrastructure. The project aims at creating intelligent agents that can map and simultaneously detect imperfections in the infrastructure by fusing efficient localisation approaches and deep-learning methods to detect and predict the possibility of damages like cracks, fissures, discoloration and other types of defects. This solution will be integrated in a novel robotic infrastructure as well developed at IIT by the Advanced Robotics (ADVR) Research Line with the target of achieving a working prototype for visual inspection. The required qualifications for the position are: ? A Ph.D. in computer science, engineering or related field (with specialization in either computer vision, information retrieval or machine learning); ? Proficiency with programming languages, in particular Python, C/C++ and MATLAB; ? Experience on SLAM and multi-view geometry approaches for sparse and dense 3D reconstruction; ? Publication in major Computer Vision conferences/journals; ? Good communication skills and ability to cooperate; ? Proficient in English language (written and oral). Desirable skills: ? Knowledge of OpenCV, PCL and Open3D libraries; ? Practical experience on the Robot Operating System (ROS); ? Knowledge and experience on Deep Learning algorithms and relevant platforms (e.g. TensorFlow, PyTorch, etc.). The successful candidate will be offered a salary commensurate to experience and skills. The call will remain open until the position is filled but a first deadline for evaluation of candidates will be June 30, 2019. Please send your application to vgm_applications at iit.it and applications at iit.it quoting ?BC 76750- VGM Postdoc Position on SLAM for visual inspection? in the e-mail subject. Your application shall contain a detailed CV, a one-page research statement and name and contact informations of two referees. Fondazione Istituto Italiano di Tecnologia (http://www.iit.it) is a non-profit institution created with the objective of promoting technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology. Istituto Italiano di Tecnologia is an equal opportunity employer that actively seeks diversity in the workforce. Please note that the data that you provide will be used exclusively for the purpose of professional profiles? evaluation and selection, and in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo[at]iit.it) -------------- next part -------------- An HTML attachment was scrubbed... URL: From kilian.ollivier at sns.it Thu Jun 6 13:04:49 2019 From: kilian.ollivier at sns.it (Kilian) Date: Thu, 6 Jun 2019 19:04:49 +0200 Subject: Connectionists: [CFP] OSNEM: Special Issue on Dynamics ON and OF social networks and media Message-ID: CALL FOR PAPERS Elsevier - Online Social Networks and Media Journal http://www.journals.elsevier.com/online-social-networks-and-media/ Special Issue on Dynamics ON and OF social networks and media Submission Deadline: July 21st, 2019 ****************************************************************************************************************** Manuscripts can be submitted continuously until the deadline. Once a paper is submitted the review process will start immediately and after (maximum) 4-5 weeks (as soon as the review process of that paper is completed) the authors will receive the first notification. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published on the journal website. ****************************************************************************************************************** Online Social Networks and Media have a high scientific and economic value because the big data collected from these platforms provide a sort of social microscope to investigate and understand human behavior and interests, both in the cyber and in the physical world. Network Science is a powerful approach to study the relations, interactions, and the organization of these socio-technical systems. The analysis of network dynamics represents one of the biggest challenges emerged in recent years. Real-life networks cannot be considered anymore as static entities that we can pin to the wall and measure once and for all. They are, on the contrary, subject to several dynamic processes: * Dynamic ON the network. In this category fall all those phenomena that take place over a complex network structure and are constrained by it: examples are information propagation, epidemics, viral diffusion, word of mouth, etc. * Dynamic OF the network. As time goes by network topology may change, node and edges appear/vanish. Such perturbations, reflects the mutable interactions of relations between actors, of the evolution of the actors themselves. This special issue seeks high-quality scientific articles (both theoretical and experimental) and survey papers focusing on using OSNEM data for the analysis of dynamics ON and OF networks. Topics include, but are not limited to: Diffusion of information Evolutionary community/cluster discovery and tracking Network event detection Dynamic GNN / Graph embedding Dynamic network visualization Epidemic models on graphs Higher order networks Time-aware Link prediction Dynamical processes on networks Markovian dynamics on networks Dynamic network generative models Guest Editors Giulio Rossetti, ISTI-CNR, Italy Remy Cazabet, University of Lyon, France *** Instructions for submission *** Manuscripts must not have been previously published nor currently under review by other journals or conferences. Papers previously published in conference proceedings are eligible for submission if the submitted manuscript is a substantial revision and extension of the conference version. In this case, authors should indicate the previous publication(s) in the cover letter and are also required to submit their published conference article(s) and a summary document explaining the enhancements made in the journal version. The submission website for this journal is located at https://www.editorialmanager.com/osnem. Please select ?SI_NetworkDynamics? when you reach the "Article Type" step in the submission process. To ensure that all manuscripts are correctly identified, for consideration by the special issue, the authors should indicate in the cover letter that the manuscript has been submitted for the special issue on Dynamics ON and OF social networks and media. For further information, please contact the guest editors at giulio.rossetti at isti.cnr.it OR remy.cazabet at univ-lyon1.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From t.hauser at ucl.ac.uk Thu Jun 6 12:30:29 2019 From: t.hauser at ucl.ac.uk (Hauser, Tobias) Date: Thu, 6 Jun 2019 16:30:29 +0000 Subject: Connectionists: postdoc position at UCL: decision neuroscience, computational psychiatry Message-ID: The Developmental Computational Psychiatry lab, based at University College London (www.devcompsy.org) is offering a postdoc position to work in decision neuroscience and computational psychiatry (esp. OCD). We are looking someone with a strong background in computational modelling, neuroimaging and/or psychiatry. The postdoc will be joining a young and interdisciplinary lab that works at the intersection of computational neuroscience, psychiatry, pharmacology and cognitive development. This means that the position offers the freedom to pursue own projects under Tobias' supervision. The position is based at the Max Planck UCL Centre for Computational Psychiatry & Ageing Research and the Wellcome Centre for Human Neuroimaging at UCL. This is a unique environment with access to cutting-edge neuroimaging facilities (3 & 7T fMRI, MEG, etc.) and is embedded in the very collaborative, world-class UCL computational neuroscience community. Potential candidates may contact Tobias directly to talk about the position and potential projects in person. This position is funded by Wellcome Trust. Application deadline is 15 June 2019. More details and application submission here: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTgwNzQ0NiZ2dF90ZW1wbGF0ZT05NjUmb3duZXI9NTA0MTE3OCZvd25lcnR5cGU9ZmFpciZicmFuZF9pZD0wJmpvYl9yZWZfY29kZT0xODA3NDQ2JnBvc3RpbmdfY29kZT0yMjQ Best, Tobias --- Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Investigator Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser at ucl.ac.uk www.tobiasuhauser.com www.devcompsy.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Fri Jun 7 02:37:53 2019 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Fri, 7 Jun 2019 09:37:53 +0300 Subject: Connectionists: Invitation to join the 2019 Summer School on Autonomous Systems (focus on cars, drones), 26-30th August 2019, AUTH, Greece Message-ID: <05cc01d51cfb$893be2f0$9bb3a8d0$@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 (AUTH), 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, koroniioanna at csd.auth.gr 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 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 Sincerely yours Prof. I. Pitas PhD, Director of the Artificial Intelligence and Information Analysis Lab, AUTH, Greece IEEE fellow and Distinguished Lecturer -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.abbass at adfa.edu.au Fri Jun 7 09:11:17 2019 From: h.abbass at adfa.edu.au (Hussein Abbass) Date: Fri, 7 Jun 2019 13:11:17 +0000 Subject: Connectionists: Two Prestigious PhD Scholarships - UNSW Australia Message-ID: Scientia Scholarships are among the most prestigious scholarships offered by the University of New South Wales, Australia. In addition to an annual stipend of $41,209, candidates will have a senior career planning mentor, and access to up to $10,000 travel and development package per annum. We have two Scientia PhD Scholarships available for candidates with strong background Neural Networks and interest in multi-disciplinary research. First Scientia PhD Scholarship is on "All-optical Artificial Neural Networks" http://www.husseinabbass.net/ScientiaOptics2019.html Second Scientia PhD Scholarship is on "Real-time Cognitive Load Measures to Improve Trust in Autonomous Systems" http://www.husseinabbass.net/ScientiaHCI2019.html Deadline 12th of July 2019. Follow the website for details and instructions on how to apply Kind regards, Hussein Prof. Hussein Abbass, FORS, FACS, FIML, MHFES | School of Engineering and Information Technology | University of New South Wales - Canberra| Canberra, ACT 2600, Australia | Web: https://www.husseinabbass.net/| Tel:+61-2-62688158 | Fax: +61-2-62688276 | Twitter: @HusseinAbbassOz | LinkedIn: www.linkedin.com/in/HusseinAbbassOz -------------- next part -------------- An HTML attachment was scrubbed... URL: From bernstein.communication at fz-juelich.de Fri Jun 7 04:40:44 2019 From: bernstein.communication at fz-juelich.de (Bernstein Communication) Date: Fri, 7 Jun 2019 10:40:44 +0200 Subject: Connectionists: Bernstein Conference 2019 - deadlines approaching Message-ID: <65ce7248-16c1-3d11-af5a-a2d662470e36@fz-juelich.de> BERNSTEIN CONFERENCE 2019, September 17-20 in Berlin The deadline for abstracts aimed as contributed talks and posters is approaching! ************************************************************** Deadline for abstracts aimed as contributed talks and posters: June 13, 2019 Deadline for abstracts aimed as posters only: July 03, 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. For abstract submission and more information please visit: bernstein-conference.de/2019/abstracts 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. Submission of an abstract does not replace conference registration (intercongress.de/cgi-bin/regform_79106.exe?company=79106&event=1969&language=1&Entry=9). For more information on the conference, please visit: bernstein-conference.de -- Dr. Claudia Dupp?/ Dr. Nikola Schwarzer Press and Public Relations Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) phone: (+49) 0761 203 96787 mail: bernstein.communication at fz-juelich.de web: www.bernstein-network.de ______________________________________ Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Fri Jun 7 08:59:13 2019 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Fri, 7 Jun 2019 15:59:13 +0300 Subject: Connectionists: Invitation to subscribe to the new Computer Vision and Machine Learning (CVML) email list for scientific dissemination References: <075a01d51d30$48cf2b70$da6d8250$@csd.auth.gr> Message-ID: <07ec01d51d30$cecaf1a0$6c60d4e0$@csd.auth.gr> Dear Computer Vision and Machine Learning specialist, if you want to subscribe (for free) to this new Computer Vision and Machine Learning (CVML) email list to send/receive scientific messages/news, please: send an empty email to sympa at lists.auth.gr with subject: subscribe cvml at lists.auth.gr your_name Your_name is optional. For example if your name is John Smith, your email subject should be: subscribe cvml at lists.auth.gr John Smith or subscribe cvml at lists.auth.gr You can unsubscribe any time, by sending an empty email to sympa at lists.auth.gr with subject: unsubscribe cvml at lists.auth.gr The reason for creating CVML is that a Computer Vision and Machine Learning email list for disseminating scientific news (jobs, MSc studies, PhD positions, conferences, sessions, issues, competitions, news) is badly missing. Therefore, we decided to create such a moderated list, serving the confluence of the scientific disciplines of: * Computer Vision, Image/video processing, 3D imaging * Machine Learning, Neural Networks, Pattern Recognition, AI * Autonomous System perception (cars, drones, vehicles, robots) * Signal processing, sensor networks * Distributed computing and related topics (e.g., robotics, AS communications). If you work on any of these topics, publish in relevant conferences (CVPR, ICCV, ECCV, ACCV, NIPS, ICML, BMVC, WACV, ICIP, ICASSP, ICPR, EUSIPCO, MLSP, ICME, ACM Multimedia) and/or journals (IEEE PAMI, TIP, SMC, CSVT, TNNLS, TMM, Pattern Recognition, Information Sciences, Neurocomputing, Neural Networks, Image and Vision Computing, IJCV, ACM Transactions on Intelligent Systems and Technology, ACM Computing Surveys) and you want to get relevant regular news or post your own news, you can subscribe as shown above. Your subscription will enable a valuable dissemination asset for the entire Computer Vision and Machine Learning community, to be used by all. This is an one-off message, sent though various channels, to inform you about the creation of the CVML email list. Sincerely yours Ioannis Pitas Professor, PhD, Director of the Artificial Intelligence and Information Analysis Lab, AUTH, Greece IEEE fellow and Distinguished Lecturer -------------- next part -------------- An HTML attachment was scrubbed... URL: From volker.tresp at siemens.com Fri Jun 7 09:15:22 2019 From: volker.tresp at siemens.com (Tresp, Volker) Date: Fri, 7 Jun 2019 13:15:22 +0000 Subject: Connectionists: ECML Workshop: New Trends in Representation Learning with Knowledge Graphs Message-ID: We are organizing a workshop with the title: "New Trends in Representation Learning with Knowledge Graphs" https://sites.google.com/view/kgrlfr-workshop/home @ ECML PKDD 2019 http://ecmlpkdd2019.org/ (2019-09-16 to 2019-09-20 ) The ECML is the leading European Conference on Machine Learning. The workshop day is 2019-09-16. Submission deadline: 2019-06-14. Please submit short papers, up to 6 pages. Accepted papers will be published in the conference proceedings. Selected short papers will be encouraged to be submitted to a special issue of JWS with the topic of the workshop. Best regards, Volker We invite the submission of papers on topics including, but not limited to: * Knowledge graph representations for relational reasoning * Unsupervised learning of complex graphs over graph-structured data * Neural/Statistical Relational Learning * Integrating learning of expressive knowledge representation and flexible reasoning * Exploring non-Euclidean spaces for knowledge graph representations * Inference tasks for learned knowledge graph representations that require general-purpose reasoning * Knowledge graph representations for industrial recommendation systems * Decision modelling in personalized medicine with knowledge graph representations (e.g., decision support at the point of care in tumor boards) * Visual scene graph modelling with the help of knowledge graphs. * Knowledge graph representation to support natural language understanding. * Knowledge Graphs for cognitive science * Representation learning on time-dependent knowledge graphs * Question answering and commonsense reasoning via knowledge graphs * Knowledge graph representation learning models based on adversarial methods. * Quantum Computing as a basis for scalable Knowledge graph representation learning. -------------- next part -------------- An HTML attachment was scrubbed... URL: From gavalda at cs.upc.edu Sun Jun 9 12:19:11 2019 From: gavalda at cs.upc.edu (=?UTF-8?Q?Ricard_Gavald=c3=a0?=) Date: Sun, 9 Jun 2019 18:19:11 +0200 Subject: Connectionists: Call for papers & projects - SoGood 2019 - 4th Workshop on Data Science for Social Good @ ECML PKDD Message-ID: CALL FOR PAPERS AND CALL FOR PROJECTS SoGood 2019 - 4th Workshop on Data Science for Social Good September 20th, 2019, Wurzburg, Germany Affiliated with ECML-PKDD 2019, http://www.ecmlpkdd2019.org/ Workshop site: https://sites.google.com/view/ecmlpkddsogood2019/ This is the fourth edition of the workshop; the previous three were held jointly with ECML-PKDD 2016, 2017 and 2018. This edition introduces a novelty: This is a CALL FOR PAPERS and a CALL FOR PROJECTS. ********** CALL FOR PAPERS ********** The possibilities of Data Science for contributing to social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models" or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of social impact of the application. This workshop aims to attract papers presenting applications of Data Science for Social Good (which may, or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes: * Government transparency and IT against corruption * Public safety and disaster relief * Access to food, water and utilities * Efficiency and sustainability * Data journalism * Economic, social and personal development * Transportation * Energy * Smart city services * Education * Social services, unemployment and homelessness * Healthcare * Ethical issues, fairness and accountability * Topics aligned with the UN development goals: http://www.un.org/sustainabledevelopment/sustainable-development-goals/ The major selection criteria will be the novelty of the application and its social impact. We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organisations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects, which may not be strictly "non-profit" but have Social Good as their main focus. There will be an award for the best paper. Paper submission: Authors should submit a PDF version in Springer LNCS style using the workshop EasyChair site: https://easychair.org/conferences/?conf=sogood2019 The maximum length of papers in 16 pages, consistent with the ECML-PKDD conference submissions. Submitting a paper to the workshop means that if the paper is accepted at least one author will attend the workshop and present the paper. Papers not presented at the workshop will not be included in the proceedings. Paper publication: Accepted papers will be published in a volume of the Springer Lecture Notes of Artificial Intelligence, containing the proceedings ECML-PKDD workshops. ********** CALL FOR PROJECTS ********** The need for Data Science often appears in organizations that do not have the technical abilities, even though they have pressing data problems and interesting data. The goal of this call for projects is to help put in touch such organizations with researchers who could help in framing the problem in Data Science terms, and perhaps contribute to its solution. Typical proposers could be non-academic (e.g. government organisations, NGOs) or non-Computer Science academics (e.g. from Health, Psychology, Social Sciences). Projects by organizations that have the capacity to hire data scientists for the project are not acceptable. Projects that could be solved by routine application of standard techniques are also not encouraged. Hence, consider submitting a description of a project, either a well-formed oneor just an embryo, if you have access to interesting data, a socially relevant problem to solve, and if you do not have access to data scientists or the capacity of hiring them. Project submission: Authors should submit a PDF version via Easychair, https://easychair.org/conferences/?conf=sogood2019. Springer LNCS style is recommended but not required. The maximum length of submissions is 3 pages. Project descriptions should include - title and authors (names, affiliations, email), - what the problem is, - why it is important, - what kind of data is available, - what type of help/collaboration is needed. Project descriptions will be evaluated by the Program Committee for interest and relevance to the workshop. For accepted projects, if the authors attendthe workshop, they will have a 5-10 minute slot to present the it; otherwise, they should prepare a recorded talk that we will shown during the workshop. Project descriptions will not be included in the workshop proceedings, but will be archived on the workshop's website. ********** INFORMATION FOR AUTHORS ********** Workshop format: * Full-day workshop * A keynote talk, speaker to be announced * Oral presentation of accepted papers * Oral presentation or video presentation of accepted projects. * Panel discussion with audience. Important Dates: - Workshop paper/project submission deadline: Monday, July 1, 2019 - Workshop paper/project acceptance notification : Friday, July 19, 2019 - Workshop paper camera-ready deadline: Monday, July 26, 2019 - Workshop: Friday September 20th, 2019 Program Committee members: - Albert Bifet, Telecom ParisTech, France - Itziar de Lecuona, University of Barcelona, Spain - Jeremiah Deng, University of Otago, New Zealand - Cesar Ferri, Technical University of Valencia, Spain - Geoffrey Holmes, University of Waikato, New Zealand - Josep-Lluis Larriba-Pey, UPC BarcelonaTech, Spain - Rita Ribeiro, University of Porto, Portugal - Alicia Troncoso, University Pablo de Olavide, Spain - Evgueni Smirnov, University of Maastricht, The Netherlands - Kristina Yordanova, University of Rostock, Germany Organizers and contact: * Ricard Gavalda (UPC BarcelonaTech, Spain), gavalda at cs.upc.edu * Irena Koprinska (University of Sydney, Australia), irena.koprinska at sydney.edu.au * Joao Gama (University of Porto, Portugal), jgama at fep.up.pt Workshop site: https://sites.google.com/view/ecmlpkddsogood2019/ From Roderick.Murray-Smith at glasgow.ac.uk Sun Jun 9 18:37:23 2019 From: Roderick.Murray-Smith at glasgow.ac.uk (Roderick Murray-Smith) Date: Sun, 9 Jun 2019 22:37:23 +0000 Subject: Connectionists: 3 positions - Lecturer/Senior Lecturer/Reader in Media & Data Science, University of Glasgow, School of Computing Science Message-ID: This is part of a call for 3 permanent academic posts. All posts are available at Lecturer or Senior Lecturer/Reader (equivalent to Assistant or Associate Professor), subject to eligibility. The salary will be on the Research and Teaching Grade, level 7, 8 or 9: ?35,210 - ?39,610 / ?43,266 - ?50,132 / ?51,630 - ?58,089 per annum. We are looking for outstanding academics who can work in our Information, Data and Analysis Section in areas such as Machine learning, Information Retrieval, Vision and Sensor-based systems and Data Systems, to develop, lead and sustain research of international standard in Data Science & Media; to actively engage in teaching at undergraduate and/or postgraduate level and to play a role in developing and executing School strategy, management and organisation. The School has existing strengths in information retrieval and machine learning applied in contexts such as politics and social media, recommender systems, music information retrieval, conversational interaction and search. As part of our plans to expand our research and teaching activities in this area and collaborate more closely with our neighbours at BBC Scotland, we aim to recruit 3 new staff in the topics of Information Retrieval/Machine Learning/Data Systems. Our primary criterion is academic excellence in the areas above, and we are especially interested in applicants that have the potential to expand our existing strengths in media (including Social Media) and data science, including but not limited to topics such as: * core machine learning technologies (e.g. graph convolutional networks, architectures for multimedia (video or audio) content) * conversational interaction and search * explainability/interpretability/ethics in information retrieval and/or machine learning, algorithmic bias, especially applied in a media context * data science for communications media * information retrieval from digital archives * data science for politics and social media * social media search & analytics * music information retrieval * algorithmic content generation * personalisation including (context-aware) recommendation systems/interaction * large-scale data and/or information retrieval systems * user engagement modelling and predictive analytics Apply online at http://www.gla.ac.uk/explore/jobs/ Vacancy Reference: 025440 https://www.gla.ac.uk/schools/computing/worldchangerswelcome/priorityareas/#d.en.648786 Closing date: Wednesday, 10th July 2019 More details on positions available at: https://www.gla.ac.uk/schools/computing/worldchangerswelcome/ The Information, Data and Analysis Section is led by Professor Roderick Murray-Smith, and has 14 academics, and 35 postdoctoral fellows, research assistants and PhD students active in this area. IDA section: https://www.gla.ac.uk/schools/computing/research/researchsections/ida-section/ For informal enquiries please contact: Professor Rod Murray-Smith Email: Roderick.Murray-Smith at glasgow.ac.uk Professor Roderick Murray-Smith Head of Section, Information, Data and Analysis Section, Inference, Dynamics and Interaction Research Group School of Computing Science University of Glasgow Phone: +44 141 330 4984 Web: http://www.dcs.gla.ac.uk/~rod -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at u-bourgogne.fr Tue Jun 11 08:07:24 2019 From: hocine.cherifi at u-bourgogne.fr (hocine cherifi) Date: Tue, 11 Jun 2019 12:07:24 +0000 Subject: Connectionists: CFP MARAMI 2019 Dijon France November 6-8, 2019 Message-ID: *Apologies for any cross posting* *MARAMI 2019* *M**od?les* *& A**nalyse des R?seaux: Approches Math?matiques & Informatiques* *Tenth** Conference on Network Modeling & Analysis * *Dijon, France November 06- 08, 2019* *https://iutdijon.u-bourgogne.fr/marami/ * *Submission deadline: June 17, 2019* *Speakers * ? Jean-Daniel FEKETE INRIA, France ? Ronaldo MENEZES University of Exeter, UK ? Tsuyoshi MURATA Tokyo Institute of Technology, Japan *Topics include, but are not limited to: * o Community detection, graph partitioning, overlapping communities, local communities o Community assessment and benchmarking o Effective algorithms for sorting nodes in large graphs, finding patterns in graphs o Visualization and exploration of large graphs o Study and simulation of phenomena occurring on networks o Network evolution, link prediction, diffusion models o Social networks, affiliate networks, social web, folksonomies, o Biological networks, peer-to-peer networks, space networks o Recommendation systems, collaborative filtering o Decision support systems (viral marketing, epidemics) o Multi-agent systems and networks o Network Analysis & Mining o Machine learning with graphs *Submission* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Full papers* about original research not simultaneously submitted to another journal or conference. ? *Extended Abstract* about published or unpublished research. Recommended to be between 2-3 pages. They should not exceed 4 pages. Each submission must follow the Springer publication format available on the website of the journals Computational Social Networks Applied Network Science in the Instructions for Authors entry. All contributions should be submitted in *pdf format* via *EasyChair. * *Publication* *All Accepted submissions of unpublished work will be invited for publication in a special issue (fast track procedure) in one of **the journals:* o Computational Social Networks edited by Springer o Applied Network Science edited by Springer *Committees* *GENERAL CHAIRS* Hocine Cherifi LIB, UBFC, Dijon Maria Malek ETIS, EISTI, Cergy *ADVISORY BOARD* Gilles Bisson AMA-LIG Eric Gaussier LIG, Universit? Grenoble Alpes Rushed Kanawati LIPN, Universit? Paris 13 Christine Largeron LHC, Universit? Jean Monnet Camille Roth M?dialab, Sciences Po Paris C?line Rouveirol LIPN, Universit? Paris 13 Lynda Tamine-Lechani IRIT, Universit? Paul Sabatier Toulouse 3 Nathalie Villa-Vialaneix MIA-T, INRA Toulouse *PROGRAM CHAIRS* Eric Leclercq LIB, UBFC, Dijon Marinette Savonnet LIB, UBFC, Dijon *WEB CHAIR* Sylvain Rampacek LIB, UBFC, Dijon *LOCAL COMMITTEE CHAIR* Christophe Cruz LIB, UBFC, Dijon *LOCAL COMMITTEE (TBU)* Wahabou Abdo, LIB, UBFC, Dijon Claire Bourgeois-R?publique LIB, UBFC, Dijon Elisabeth Gavignet LIB, UBFC, Dijon Thierry Grison LIB, UBFC, Dijon *PROGRAM COMMITTEE (TBU)* Antoine Allard Laval University Fred Amblard IRIT - University Toulouse 1 Capitole Laurent Beauguitte CNRS Marie-Pierre B?s LISST Cecile Bothorel Telecom Bretagne Anne Boyer Kiwi Team - LORIA Julien Brailly ENSAT Guillaume Cabanac IRIT - Universit? Paul Sabatier Toulouse 3 R?my Cazabet Universit? de Lyon Chantal Cherifi Lyon 2 University, DISP Laboratory Christophe Crespelle Universit? Claude Bernard Lyon 1 Christophe Cruz LIB Dijon Maximilien Danisch Laboratoire d'Informatique Paris 6 Nicolas Dugu? LIUM Guillaume Favre University Toulouse Jean Jaures Angelo Furno IFSTTAR-ENTPE, Universit? de Lyon Eric Gaussier LIG-UJF Vincent Gauthier Telecom SudParis/Institut Mines Telecom CNRS SAMOVAR Jean-Loup Guillaume L3i - Universit? de la Rochelle Adrien Guille ERIC Lyon 2, EA 3083, Universit? de Lyon Roberto Interdonato CIRAD - UMR TETIS Bertrand Jouve CNRS Rushed Kanawati Universit? Paris 13 Hamamache Kheddouci Universit Claude Bernard Pascale Kuntz Laboratoire d'Informatique de Nantes Atlantique Robin Lamarche-Perrin INP Toulouse Renaud Lambiotte University of Oxford Jean-Charles Lamirel INRIA Project TALARIS - LORIA Christine Largeron Universit? de Lyon Maria Malek Enseignant-chercheur Nicola Mirc TSM toulouse Anthony Perez LIFO - Universit? d'Orl?ans Bruno Pinaud Universit? de Bordeaux, CNRS UMR 5800 LaBRI Nguyen Quang Ton Duc Thang University Fabrice Rossi SAMM - Universit? Paris 1 Camille Roth CNRS Arnaud Sallaberry LIRMM, Universit? Paul Val?ry Montpellier 3 Marinette Savonnet University of Burgundy - Laboratory LE2I Hamida Seba University Lyon1 Henry Soldano Laboratoire d'Informatique de Paris Nord Fabien Tarissan CNRS - ENS Paris-Saclay (ISP) Nathalie Vialaneix INRA, UR 0875 Emmanuel Viennet L2TI, Institut Galil?e, Universit? Paris 13 *oin 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 gemmar at mit.edu Mon Jun 10 11:30:19 2019 From: gemmar at mit.edu (Gemma Roig) Date: Mon, 10 Jun 2019 15:30:19 +0000 Subject: Connectionists: CHALLENGE: The Algonauts Project @ MIT - Second call to enter the challenge Message-ID: <37EE139EA6099D459CC5750BC528C420F68C8223@OC11EXPO26.exchange.mit.edu> The Algonauts Project 2019: Explaining the Human Visual Brain http://algonauts.csail.mit.edu/ Dates: July 19-20, 2019 Place: MIT, Cambridge REPORT SUBMISSION FOR YOUR CHALLENGE ENTRY IS NOW OPEN! For submitting the challenge report use this form: https://forms.gle/oPNpaL3Pw9ARKwCG8 CHALLENGE SUBMISSION OPEN UNTIL JULY 1, 2019 http://algonauts.csail.mit.edu/challenge.html Teams that submit the best results will receive an invitation to speak at the Algonauts Workshop about their work. Prizes will be awarded to those submitting the best entries. For each challenge track, the top two winning entries will receive travel reimbursement for the presenter to attend the workshop. The top presenter in each track will also receive an award. OVERVIEW The quest to understand human intelligence and engineer advanced forms of artificial intelligence are increasingly intertwined. The Algonauts Project brings biological and artificial intelligence researchers together on a common platform to exchange ideas and advance both fields. Our first challenge and workshop, Explaining the Human Visual Brain, focuses on building computer vision models that simulate how the brain sees and recognizes objects, a topic that has long fascinated neuroscientists and computer scientists. CHALLENGE The first Algonauts Project challenge evaluates computational models based on human visual brain data. Learn more about the challenge WORKSHOP, July 19-20, 2019 Learn more about the workshop and abstract submission For question about the Algonauts Project workshop, please contact algonauts at csail.mit.edu Best, The Algonauts Project team Organizers: Radoslaw Cichy, FUB Aude Oliva, MIT Gemma Roig, SUTD -------------- next part -------------- An HTML attachment was scrubbed... URL: From ariel.9arcia at gmail.com Mon Jun 10 16:28:43 2019 From: ariel.9arcia at gmail.com (Ariel Ruiz-Garcia) Date: Mon, 10 Jun 2019 21:28:43 +0100 Subject: Connectionists: Fwd: Neural Networks journal special issue on GANs In-Reply-To: References: Message-ID: *TL;DR* ? CFP: Neural Networks journal special issue on GANs GUEST EDITORS: Ariel Ruiz-Garcia, J?rgen Schmidhuber, Vasile Palade, Clive Cheong Took, Danilo Mandic SUBMISSION DEADLINE: September 2019(early submission are encouraged) ---------------------------------- *CALL FOR PAPERS*: Neural Networks journal (7.197IF) *Special Issue on Deep Neural Network Representation and Generative Adversarial Learning* Generative Adversarial Networks (GANs) have proven to be efficient systems for data generation. Their success is achieved by exploiting a minimax learning concept, which has proved to be an effective paradigm in earlier works, such as predictability minimization, in which two networks compete with each other during the learning process. One of the main advantages of GANs over other deep learning methods is their ability to generate new data from noise, as well as their ability to virtually imitate any data distribution. However, generating realistic data using GANs remains a challenge, particularly when specific features are required; for example, constraining the latent aggregate distribution space does not guarantee that the generator will produce an image with a specific attribute. On the other hand, new advancements in deep representation learning (RL) can help improve the learning process in Generative Adversarial Learning (GAL). For instance, RL can help address issues such as dataset bias and network co-adaptation, and identify a set of features that are best suited for a given task. Despite their obvious advantages and their application to a wide range of domains, GANs have yet to overcome several challenges. They often fail to converge and are very sensitive to parameter and hyper-parameter initialization. Simultaneous learning of a generator and a discriminator network often results in overfitting. Moreover, the generator model is prone to mode collapse, which results in failure to generate data with several variations. Accordingly, new theoretical methods in deep RL and GAL are required to improve the learning process and generalization performance of GANs, as well as to yield new insights into how GANs learn data distributions. This special issue on Deep Neural Network Representation and Generative Adversarial Learning invites researchers and practitioners to present novel contributions addressing theoretical and practical aspects of deep representation and generative adversarial learning. The special issue will feature a collection of high quality theoretical articles for improving the learning process and the generalization of generative neural networks. State-of-the-art applications based on deep generative adversarial networks are also very welcome. Topics of interest for this special issue include, but are not limited to: - Representation learning methods and theory; - Adversarial representation learning for domain adaptation; - Network interpretability in adversarial learning; - Adversarial feature learning; - RL and GAL for data augmentation and class imbalance; - New GAN models and new GAN learning criteria; - RL and GAL in classification; - Adversarial reinforcement learning; - GANs for noise reduction; - Recurrent GAN models; - GANs for imitation learning; - GANs for image segmentation and image completion; - GANs for image super-resolution; - GANs for speech and audio processing - GANs for object detection; - GANs for Internet of Things; - RL and GANs for image and video synthesis; - RL and GANs for speech and audio synthesis; - RL and GANs for text to audio or text to image synthesis; - RL and GANs for inpainting and sketch to image; - RL and GAL in neural machine translation; - RL and GANs in other application domains. *Important Dates:* - 30 September 2019 ? Submission deadline (early submission are encouraged - 31 December 2019 ? First decision notification - 28 February 2020 ? Revised version deadline - 30 April 2020 ? Final decision notification - July 2020 ? Publication *Guest Editors:* *Dr Ariel Ruiz-Garcia* Coventry University, UK Email: ariel.9arcia at gmail.com *Professor J?rgen Schmidhuber* NNAISENSE, Swiss AI Lab IDSIA, USI & SUPSI, Switzerland Email: juergen at idsia.ch *Dr Vasile Palade* Coventry University, UK Email: vasile.palade at coventry.ac.uk *Dr Clive Cheong Took* Royal Holloway (University of London), UK Email: Clive.CheongTook at rhul.ac.uk *Professor Danilo Mandic* Imperial College London, UK Email: d.mandic at imperial.ac.uk *Submission Procedure:* Prospective authors should follow the standard author instructions for Neural Networks, and submit manuscripts online at http://ees.elsevier.com/neunet/. Authors should select ?VSI:RL and GANs? when they reach the ?Article Type? step and the "Request Editor" step in the submission process. For any questions related to the special issue please email Dr Ariel Ruiz-Garcia (ariel.9arcia at gmail.com) -------------- next part -------------- An HTML attachment was scrubbed... URL: From gemmar at mit.edu Mon Jun 10 11:03:03 2019 From: gemmar at mit.edu (Gemma Roig) Date: Mon, 10 Jun 2019 15:03:03 +0000 Subject: Connectionists: WORKSHOP @ MIT: The Algonauts Project - Call for abstract submission + workshop participation Message-ID: <37EE139EA6099D459CC5750BC528C420F68C8166@OC11EXPO26.exchange.mit.edu> The Algonauts Project: Explaining the Human Visual Brain http://algonauts.csail.mit.edu/ Dates: July 19-20, 2019 Place: MIT, Cambridge, Mass. POSTER ABSTRACT SUBMISSION AND WORKSHOP REGISTRATION ARE NOW OPEN! We are limited to 30 poster presentation slots so apply soon! POSTER ABSTRACT SUBMISSION DEADLINE: July 1, 2019 Please submit abstracts via this form: https://forms.gle/uvqY7pWSqjf6C7K59 WORKSHOP REGISTRATION DEADLINE: July 12, 2019 Please register via this form: https://forms.gle/hjn2t5crMWztMvQ27 OVERVIEW The quest to understand human intelligence and engineer advanced forms of artificial intelligence are increasingly intertwined. The Algonauts Project brings biological and artificial intelligence researchers together on a common platform to exchange ideas and advance both fields. Our first challenge and workshop, Explaining the Human Visual Brain, focuses on building computer vision models that simulate how the brain sees and recognizes objects, a topic that has long fascinated neuroscientists and computer scientists. WORKSHOP, July 19-20, 2019 The first day of the workshop, on July 19, will include tutorials on how the human brain processes visual stimuli; state-of-the-art object recognition models in computer vision; and an overview of methods for studying human visual brain function. The second day of the workshop, on July 20, will include a poster session and talks by experts at the intersection of human and machine vision. Challenge winners will be invited to present their models during the workshop. Learn more about the workshop and abstract submission CONFIRMED SPEAKERS: * Matt Botvinick (DeepMind) * Radoslaw Cichy (FU Berlin) * David Cox (Harvard University, MIT-IBM Watson AI Lab) * James DiCarlo (MIT) * Jack Gallant (UC Berkeley) * Martin Hebart (NIMH) * Kendrick Kay (UMN) * Talia Konkle (Harvard University) * Nikolaus Kriegeskorte (Columbia University) * Yalda Mohsenzadeh (MIT, Western University) * Thomas Naselaris (MUSC) * Aude Oliva (MIT) * Gemma Roig (SUTD, MIT) For questions about the Algonauts Project workshop, please contact algonauts at csail.mit.edu. Best, The Algonauts Project team Organizers: Radoslaw Cichy, FUB Aude Oliva, MIT Gemma Roig, SUTD -------------- next part -------------- An HTML attachment was scrubbed... URL: From courtiol.julie at gmail.com Tue Jun 11 14:53:57 2019 From: courtiol.julie at gmail.com (Julie Courtiol) Date: Tue, 11 Jun 2019 20:53:57 +0200 Subject: Connectionists: TVB Node#9 Workshop - Warsaw, August 31 Message-ID: Get up to speed about the fundamental principles of full brain network modeling using the open-source neuroinformatics platform *The Virtual Brain (TVB) * *at our 1-day workshop August 31, 2019* *TVB NODE#9 is an official training course of NeuroInformatics 2019 holding on September 1-2, also in Warsaw.* *Optimize your time in Warsaw and be sure to register for both events!* TVB enables biologically realistic modeling of large-scale brain network dynamics across different brain scales using connectome-based approach. Configurable brain models generate macroscopic neuroimaging signals including fMRI, intracranial and stereotactic EEG, surface EEG and MEG for single subjects. Personalized brain network models can be derived from individual?s MRI data. Researchers from different backgrounds can benefit from an integrative software platform including a simulation core written in Python and a supporting framework for data management (generation, organization, storage, integration and sharing). *LOCATION* *University of Warsaw - Faculty of Physics* Ludwica Pasteura 5 02-093 Warsaw, Poland 6X6M+X6 https://goo.gl/maps/tJHpJX3y5D6e6uSu5 *REGISTER HERE * *PROGRAM AT A GLANCE * - *Architecture of TVB; **describing the core of TVB software* - *A generative model of the brain; **describing the building blocks of a full brain network model* - *Constructing personalized models from empirical data; **learning how to take your own data and model it within the framework of TVB* - *Interacting with TVB; **w**orking with the graphic (GUI) and command line (CLI) user interfaces* - *Hands-on session; **simulating resting-state, epilepsy, brain stimulation and mouse brain **activity using the GUI and CLI * *After the workshop you should have a basic picture of how these models are built, how they work, and what biological properties of a neural system they represent. In addition, we will highlight several research topics that can be explored using this tool.* *The workshop is organized with interleaved oral presentations and hands-on sessions. Attendants will have the time to ask questions. The hands-on sessions will let you immediately apply the concepts from the lectures to your simulations in TVB. * *WORKSHOP HAS LIMITED ATTENDANCE* *Registration closes July 31st ? claim your spot today! * *This workshop is organized by the TVB Team. Please contact your local host Julie Courtiol if you have any questions.* Best, Julie -- -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: logo_signature_charite_gmail-01.png Type: image/png Size: 583492 bytes Desc: not available URL: From sabu.thampi at iiitmk.ac.in Thu Jun 13 02:16:26 2019 From: sabu.thampi at iiitmk.ac.in (Sabu M. Thampi) Date: Thu, 13 Jun 2019 11:46:26 +0530 Subject: Connectionists: Call for Papers - Symposium on Machine Learning and Metaheuristics Algorithms, and Applications (SoMMA'19) Message-ID: Apologies for cross-postings! ** Please forward to anyone who might be interested ** Symposium on Machine Learning and Metaheuristics Algorithms, and Applications (SoMMA'19) December 18-21, 2019, Trivandrum, Kerala, India http://www.acn-conference.org/somma2019/ Papers Due: August 20, 2019 EDAS Submission Link: http://edas.info/N26363 Proceedings by Springer in Communications in Computer and Information Science Series(CCIS) ------------------------------ CALL FOR PAPERS SoMMA'19 aims to provide a forum for scientists and researchers to present their latest results and a means to discuss the recent developments in machine learning, metaheuristics, and their applications. The technical program of the symposium will include tutorials, regular technical sessions, workshops, and plenary/keynote speeches. The symposium will be held in Trivandrum, Kerala, India during December 18-21, 2019. Kerala renowned as the ?Gods own Country?, situated in the southwestern tip of India, bestowed with unique geographical features that have made it one of the most attractive tourist destinations in India. All accepted papers will be published by Springer in Communications in Computer and Information Science Series(CCIS). The proceedings will be available via the SpringerLink digital library. CCIS is abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, and Scopus. CCIS volumes are also submitted for the inclusion in ISI Proceedings. The organizers solicit previously unpublished papers offering novel research contributions in any aspect of machine learning, metaheuristics, and their applications. *Topics of interest include, but are not limited to, the following:* *Metaheuristics Algorithms* -- Animal Migration Optimization -- Ant Colony Optimization -- Ant Lion Optimization Algorithm -- Artificial Algae Algorithm -- Artificial Bee Colony Algorithm -- Artificial Chemical Process Algorithm -- Artificial Ecosystem Algorithm -- Artificial Fish Swarm Optimization -- Artificial Immune Systems -- Bacterial Evolutionary Algorithm -- Bat Algorithm -- Bird Mating Optimizer -- Bull Optimisation Algorithm -- Bumble Bees Mating Optimization -- Cellular Automata -- Central Force Optimization -- Chaos Optimization Algorithm -- Chemical Reaction Algorithm -- Chicken Swarm Optimization -- Collective Animal Behavior -- Construct, Merge, Solve & Adapt -- Coral Reefs Optimization -- Cuckoo Search -- Cultural Algorithms -- Cuttlefish Algorithm -- Differential Evolution -- Dragonfly Algorithm -- Earthworm Optimization -- Elephant Herd Algorithm -- Emperor Penguins Colony -- Evolutionary Computation and Metaheuristics -- Firefly Algorithm -- Forest Optimization Algorithm -- Fuzzy-metaheuristic Methods -- Genetic Programming -- Grasshopper Optimization Algorithm -- Gravitational Search Algorithm -- Greedy Randomized Adaptive Search -- Grey Wolf Optimizer -- Group Search Optimizer -- Guided Local Search & Fast Local Search -- Harmony Search -- Honey-Bees Mating Optimization -- Hunting Search Algorithm -- Krill Herd Algorithm -- Intelligent Water Drops Algorithm -- Iterated Local Search -- Locust Search Algorithm -- Memetic Algorithms -- Meta-Heuristic Algorithms for Deep Learning -- Mine Blast Algorithm -- Monarch Butterfly Optimization -- Moth-Flame Optimization Algorithm -- Multi-objective Optimisation -- Multiple Operator Metaheuristics -- Neighborhood Search Metaheuristics -- Parliamentary Optimization Algorithm -- Particle Swarm Optimization -- Photosynthetic and Enzyme Algorithm -- Physarum Polycephalum Algorithm -- Population-Based Metaheuristics -- Rainfall Optimization Algorithm -- River Formation Dynamics -- Roach Infestation Optimization -- Salp Swarm Algorithm -- Scatter Search -- Seed-Based Plant Propagation Algorithm -- Sheep Flocks Heredity Model Algorithm -- Shuffled Frog Leaping Algorithm -- Simulated Annealing -- Social Cognitive Optimization -- Social Spider Optimization -- Sperm Swarm Optimization Algorithm -- Spiral Optimization Algorithm -- Stellar-Mass Black Hole Optimization -- Stochastic Search -- Strawberry Algorithm -- Tabu Search -- Teaching-Learning-Based Optimization -- Team Game Algorithm -- The States of Matter Search -- Tree Physiology Optimization -- Variable Neighbourhood Search -- Water Wave Optimization -- Whale Optimization Algorithm -- Wind-Driven Optimization *Machine Learning Techniques* -- Adversarial Learning -- Analogical Learning Methods -- Bayesian Models and Methods -- Bayesian Networks -- Biologically Inspired Machine Learning -- Case-Based Reasoning and Associative Memory -- Classification and Clustering -- Cognitive Modeling -- Collaborative Filtering -- Computational Learning Theory -- Conceptional Learning and Clustering -- Connectionist Networks -- Convolutional Neural Networks -- Cooperative Machine Learning -- Deep Learning -- Distributed Machine Learning -- Embedded Machine Learning -- Ensemble Methods -- Evolutionary Computation and Deep Neural Networks -- Explanation-Based Learning -- Feature Learning -- Formal Modeling for Machine Learning Techniques -- Fuzzy Logic and Machine Learning -- Genetic Algorithms and Machine Learning -- Graphical Models -- Hybrid Learning Algorithms -- Indefinite Proximity Learning -- Inductive Learning -- Kernel Machines -- K-Nearest Neighbor Classifier -- Knowledge Representation in Machine Learning -- Large-Scale Machine Learning -- Learning Decision and Regression Trees -- Learning through Fuzzy Logic -- Loopy Belief Propagation -- Multi-Agent Learning -- Multi-Strategy Learning -- Neural Network Learning -- Online and Incremental Learning -- Organisational Learning and Evolutional Learning -- Recurrent Network Architectures -- Reinforcement Learning -- Relevance Vector Machine -- Rough Sets Theory and Machine Learning -- Scalability of Learning Algorithms -- Secure Machine Learning Algorithms -- Statistical and Evolutionary Learning -- Stochastic Gradient Descent -- Support Vector Machine -- Time Series and Sequential Pattern Mining -- Transfer Learning -- Self-Organizing Maps and Vector Quantization *Applications of Machine Learning and Meta-Heuristic Algorithms* -- Affective Computing -- Autonomic Control Systems -- Automatic Driving -- Behavioural Analytics/Graph Analytics -- Biometric Applications -- Blockchain and Deep Learning -- Brain-Computer Interfaces -- Cognitive Imaging and Processing -- Cognitive Radio Networks -- Computer Vision & Image Processing -- Context-Awareness and Intelligent Environment Applications -- Cyber-Physical Systems -- Cyber Defense -- Data Analysis and Intelligent Optimization -- Digital Forensics -- Digital Twin/AI Modeling -- Emotion Recognition -- Experience Economy/Financial Engineering and Time Series Forecasting -- Game Playing and Problem Solving -- Hyper Personalisation -- Intelligent Cloud and Intelligent Edge -- Intelligent Human-Computer Interaction -- Intrusion Detection Systems -- Intelligent Transport Systems and Smart Mobility -- Intelligent Virtual Environments -- Internet of Things and Sensor Networks -- Multi-sensor Intelligent Information Fusion -- Neuroscience and Behavior Analysis in Robotics -- Neuromorphic Computing -- Online Social Networks -- Pattern Recognition -- Peer-to-Peer Networks -- Recommender Systems -- Smart Grid -- Smart Surveillance Systems -- Smart Healthcare and Disease Analytics -- Smart Living and Smart Cities -- Speech and Natural Language Processing -- Trust Management All papers that conform to submission guidelines will be peer reviewed and evaluated based on originality, technical and/or research content/depth, correctness, relevance to conference, contributions, and readability. Acceptance of papers will be communicated to authors by email. Independently of the presentation type, all papers are included in the proceedings. Important DatesPapers Due: August 20, 2019 Acceptance Notification: September 20, 2019 Final Paper Deadline: October 18, 2019 Contact UsE-mail: somma.symposium at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From avellido at cs.upc.edu Thu Jun 13 12:04:27 2019 From: avellido at cs.upc.edu (Alfredo Vellido) Date: Thu, 13 Jun 2019 18:04:27 +0200 Subject: Connectionists: WSOM+2019, Barcelona, Spain: LAST CALL FOR PARTICIPATION In-Reply-To: <158c34b8-8326-9a7d-8f02-f999e08a48ba@cs.upc.edu> References: <158c34b8-8326-9a7d-8f02-f999e08a48ba@cs.upc.edu> Message-ID: <65e14091-fe4c-65b9-617c-396dfe27e977@cs.upc.edu> [Our apologies if you received multiple copies of this message] =============================================================== LAST 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! 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. 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. ************ WSOM+ 2019 ************ Organizing Committee Alfredo Vellido, Chair (IDEAI, UPC BarcelonaTech) Karina Gibert (IDEAI, UPC BarcelonaTech) Cecilio Angulo (IDEAI, UPC BarcelonaTech) Jos? David Mart?n (Universitat de Val?ncia) Steering Committee: Teuvo Kohonen (Honorary Chairman, Finland) Marie Cottrell (France) Pablo Estevez (Chile) Timo Honkela (Finland) Jean Charles Lamirel (France) Thomas Martinetz (Germany) Erzsebet Merenyi (USA) Madalina Olteanu (France) Michel Verleysen (Belgium) Thomas Villmann (Germany) Takeshi Yamakawa (Japan) Hujun Yin (UK) ========================================================== From Albrecht_Zimmermann at gmx.net Thu Jun 13 12:11:56 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Thu, 13 Jun 2019 18:11:56 +0200 Subject: Connectionists: Reminder: Deadline for the 6th Workshop on Sports Analytics (MLSA19) @ ECML PKDD 2019 coming up Message-ID: An HTML attachment was scrubbed... URL: From carsten.mehring at biologie.uni-freiburg.de Thu Jun 13 07:05:07 2019 From: carsten.mehring at biologie.uni-freiburg.de (Carsten Mehring) Date: Thu, 13 Jun 2019 13:05:07 +0200 Subject: Connectionists: Full Professorship Theoretical Systems Neuroscience Message-ID: The Faculty of Biology of the University of Freiburg invites applications for a Full Professorship (W 3) for Theoretical Systems Neuroscience at the Department of Biology III to be filled as soon as possible. This professorship is also particularly suitable for highly qualified early career researchers. The future job holder should be internationally renowned for the investigation of complex brain functions using modern theoretical neuroscientific approaches. In this context, investigations at the systems level using modern approaches from the theoretical and/or computational neurosciences are particularly welcome. Thematically, the professorship should focus on one of the following areas: learning mechanisms, decision-making processes, sensory systems, sensorimotor integration/control, or the mechanistic understanding of neuronal networks in functional and dysfunctional brains. Collaborations with the experimental and theoretical neuroscientific research groups and research centres established in Freiburg are very welcome. Further information on neuroscientific research in Freiburg can be found on the website www.neuro.uni-freiburg.de as well as on the homepages of the Faculty of Biology www.bio.uni-freiburg.de and the Bernstein Center Freiburg www.bcf.uni-freiburg.de . Teaching contributions to the MSc Neuroscience, the BSc and MSc Biology, the Master of Education Biology as well as contributions to the organization of the MSc Neuroscience are expected. Prerequisites for the employment of Professors are a university degree, an outstanding dissertation and an excellent publication record. Substantial achievements and experience in academic research and teaching, at the level of a Habilitation according to the German academic system, are expected. We are particularly pleased to receive applications from women for the position advertised here. The following application documents are to be submitted: o Curriculum vitae o Certificates of degrees and academic qualifications as well as references o Complete list of papers and invited lectures specifying the 10 most important publications Please send your application including supporting documents mentioned above and the application form (http://www.zuv.uni-freiburg.de/formulare/bewerbungsbogen_englisch.pdf ) citing the reference number 00569, by 31.07.2019 at the latest. Please send your application to the following address in electronic form: The Dean of the Faculty of Biology, Sch?nzlestr. 1, D-79104 Freiburg. Via e-mail: application at biologie.uni-freiburg.de Further information on the appointment procedure can be found in the Procedure Governing Appointments to Professorships at the University of Freiburg, available under http://www.zuv.uni-freiburg.de/formulare/berufungsleitfaden-en.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at u-bourgogne.fr Thu Jun 13 09:27:27 2019 From: hocine.cherifi at u-bourgogne.fr (hocine cherifi) Date: Thu, 13 Jun 2019 13:27:27 +0000 Subject: Connectionists: CFP SI Structure & Dynamics of Crime in Applied Network Science Message-ID: *Applied Network Science Special Issue on:* *STRUCTURE AND DYNAMICS OF CRIME* https://appliednetsci.springeropen.com/ Crime is ubiquitous and poses a real danger to modern civilized societies. Recent advances in fields such as criminology, sociology, physics, computer science, mathematics, and police science have shown that criminal activities depend strongly on the underlying network of actors involved. In this sense, the application of Network Science to crime fighting has shown a great boom in the last few years, establishing a strongly interdisciplinary community, which has attracted attention not only from academia but also from law-enforcement and intelligence agencies worldwide. Network Science has been reshaping the way we think and approach the criminal phenomenon from basic to applied analysis. In this regard, this Special Issue aims to collect innovative research on the networked structure and dynamics of crime, paving the way to a clearer data-driven understanding of criminality with potential applications to crime fighting. Papers of broader aspects of crime and their applications will also be considered as possible contributions for this Special Issue. Survey and review papers are welcome. Manuscripts relevant to this special issue include, but are not limited to, the following: ? description of criminal networks; ? data-mining for intelligence purposes; ? modeling crime interactions; ? dynamics of terrorist events; ? disruption of illicit markets; ? structure of criminal enterprise groups; ? understanding crime as a complex system; ? social dynamics and structure of transnational crime; ? social dynamics of criminal hotspots in cities; ? use of social media for crime analysis; ? dynamics of cyber-crime; ? use of communication data in criminal activity; ? detection of criminal organizations in cities; ? social network analysis of co-offending; ? network-based tools for analyzing crime; ? sensitivity analysis to investigate missing data and fuzzy boundaries; ? spatial networks and their influence on crime patterns; ? visualization of criminal networks. *Important dates* Expression of interest and abstract submission: August 23, 2019 Abstract feedback notification: September 6, 2019 Paper submission deadline: October 18, 2019. *Submission Instructions* We invite authors to submit a brief *expression of interest* containing a short outline or extended abstract (approx. 1000 words), including the topic, key concepts, methods, expected results, and conclusions. Abstracts should be submitted via Easy Chair: *https://easychair.org/cfp/ans_netcrime19* They will be reviewed to determine if the submission is in the scope of this special issue. *Publication* Authors with accepted abstracts will be invited to submit their papers through the journal submission system for a full review and publication. Manuscripts can be submitted continuously until the deadline. Once a paper is submitted, the review process consisting of three peer reviews will start immediately. Accepted papers will be published continuously in the journal (in the first issue available as soon as the paper is accepted). All accepted papers will be listed together in an online virtual special issue published on the journal website. *Guest Editors* Bruno Requi?o da Cunha, *brunorequiao.brdc at gmail.com * Federal Police, Brazil and MACSI, University of Limerick, Ireland Gisela Bichler, *gbichler at csusb.edu * California State University, USA Luiz G. A. Alves, *lgaalves at northwestern.edu * Northwestern University, USA Marcos Oliveira, *moliveira at tuta.io * GESIS, Leibniz Institute for the Social Sciences, Germany Toby Davies, *toby.davies at ucl.ac.uk * University College London, UK For more information contact the editors. *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 krallinger.martin at gmail.com Thu Jun 13 08:28:58 2019 From: krallinger.martin at gmail.com (Martin Krallinger) Date: Thu, 13 Jun 2019 14:28:58 +0200 Subject: Connectionists: =?utf-8?q?Shared_task_on_Medica_Named_Entity_Recn?= =?utf-8?q?ognition_and_Neural_Networks=3A_PharmaCoNER_=E2=80=93_Bi?= =?utf-8?q?oNLP-OST_2019?= Message-ID: Dear all, Neural networks are currently considered the most competitive approach for NLP tasks such as Named Entity Recognition (NER), and a number of resources and libraries are being implemented to make this track more efficient (NeuroNER,..etc). We are currently organizing the first task on chemical and drug mention recognition from Spanish medical texts, as part of the BioNLP-OST 2019 framework / EMNLP-IJCNLP 2019. Efficient access to mentions of drugs, medications and chemical entities is a pressing need shared by biomedical researchers, clinicians and pharma industry. I thought you might also be interested in the track, or potentially have colleagues that might be interested in either participating or the generated results/approaches used. I would be very grateful if you would help us spread the call. Best regards, Martin -------------------------------------------------------------------- **** Final Call for Participation PharmaCoNER ? BioNLP-OST 2019 **** *Pharmacological Substances, compounds and proteins and Named Entity Recognition track at BioNLP-OST 2019 collocated with EMNLP-IJCNLP 2019* *3 or 4 November 2019 (Hong Kong)* *http://temu.bsc.es/pharmaconer* Plan TL Award for the PharmaCoNER Track PharmaCoNER Awards: 3,400? total *Task description* Efficient access to mentions of drugs, medications and chemical entities is a pressing need shared by biomedical researchers, clinicians, pharmaceutical industry or even patients. The recognition of pharmaceutical drugs and chemical entities is a critical step required for the subsequent detection of drug-related adverse reactions, drug-repositioning, detection of drug-related fake news, drug-target associations, just to name a few. The critical importance of chemical and drug name recognition motivated several-shared tasks in the past, such as the CHEMDNER tracks (Krallinger et al. 2015) or the i2b2 medication challenge (Uzuner et al. 2010), with a considerable number of participants and impact in the field. The publications, corpora and participating systems of these tracks represent influential results for the community working in biomedical and clinical text mining. As part of the BioNLP-OST framework (https://2019.bionlp-ost.org/home), following the outline of previous chemical and drug NER efforts, we organize* the first task on chemical and drug mention recognition from Spanish medical texts*. This task will address the automatic extraction of chemical, drug, gene/protein mentions from clinical case studies written in Spanish. Spanish is a language spoken by more than 572 million people in the world today, either as a native, second or foreign language. It is the second language in the world by number of native speakers with more than 477 million people. According to results derived from WHO statistics, just in Spain there are over 180 thousand practicing physicians, more than 247 thousand nursing and midwifery personnel or 55 thousand pharmaceutical personnel The PharmaCoNER task will be structured into *two sub-tracks*: 1) Track 1: NER offset and entity classification. 2) Track 2: Concept indexing. *Publications* As a venue to compile the results of the follow-up investigation, a journal special issue will be organized to be published a few months after the workshop. The specific journal will be announced. More information at the BioNLP-OST 2019 webpage. *Important Dates* ? March 18, 2019 Sample set and Evaluation script released. ? March 26, 2019 Training set released. ? March 26, 2019 Development set released. ? May 31, 2019 Test set released (includes background set). ? June 25, 2019 End of evaluation period (system submissions). ? July 1, 2019 Results posted and Test set with GS annotations released. ? July 19, 2019 Working notes paper submission. ? TBD Notification of acceptance (peer-reviews). ? TBD Camera ready paper submission. ? November, 2019 BioNLP-OST 2019 Workshop (to be collocated with EMNLP-IJCNLP 2019, Hong Kong) Additional information is available at: ? http://temu.bsc.es/pharmaconer ? https://2019.bionlp-ost.org ? Best regards, Martin Krallinger -- ======================================= Martin Krallinger, Dr. -------------------------------------------------------------------- Head of Biological Text Mining Unit Barcelona Supercomputing Center (BSC-CNS) -------------------------------------------------------------------- Oficina T?cnica General (OTG) del Plan TL en el ?rea de Biomedicina de la *Secretar?a de Estado * *para* el Avance Digital ======================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From kerstin.ritter at bccn-berlin.de Fri Jun 14 04:57:39 2019 From: kerstin.ritter at bccn-berlin.de (Kerstin Ritter) Date: Fri, 14 Jun 2019 10:57:39 +0200 (CEST) Subject: Connectionists: =?utf-8?q?PhD_position_in_Explainable_Machine_/_D?= =?utf-8?q?eep_Learning_in_Clinical_Neuroimaging_at_Charit=C3=A9_-_Univers?= =?utf-8?q?it=C3=A4tsmedizin_Berlin?= In-Reply-To: <671773741.359027.1560502566272.JavaMail.root@comms> Message-ID: <525981961.359069.1560502659789.JavaMail.root@comms> Dear all, we will offer a PhD position at Charit? - Universit?tsmedizin Berlin and Bernstein Center for Computational Neuroscience for "Explainable Machine / Deep Learning in Clinical Neuroimaging", starting in October 2019 (initially for 2 years, German pay scale TVL E13, 65% working time). Please see announcement below: ______________________________________________________________ Explainable Machine / Deep Learning in Clinical Neuroimaging PhD position (starting date: 1st October 2019, initially for 2 years; 65 %) At Charit? - Universit?tsmedizin Berlin and the Bernstein Center for Computational Neuroscience, we are looking for a motivated and highly talented PhD student for various research questions within the interdisciplinary field of explainable machine / deep learning and clinical neuroimaging. In particular, we employ transparent convolutional neural networks for finding new representations from neuroimaging data in order to predict disease conversion and future clinical disability in neurological as well as psychiatric diseases. A major focus in the PhD project will be on predicting disease progression in multiple sclerosis. Requirements for the PhD student: - Very good degree in computer science, mathematics, physics, psychology, computational neuroscience or related subject. - Good programming skills in python - Strong experience in machine/deep learning and/or (medical) image analysis - Excellent writing and communication skills (in English) Please send your application (motivation+CV+references) in one pdf-file (in English or German) till 31th of July to: J.Prof. Dr. rer. nat. Kerstin Ritter Department of Psychiatry and Psychotherapy Berlin Center of Advanced Neuroimaging Bernstein Center for Computational Neuroscience Charit? - Universit?tsmedizin Berlin Sauerbruchweg 4, Charit?platz 1, 10117 Berlin Phone.: + 49 30 450 539354; E-Mail: kerstin.ritter at bccn-berlin.de Webpage: https://psychiatrie-psychotherapie.charite.de/en/research/neuroimaging_and_neurotechnology/machine_learning/ ________________________________________________________________ Thank you and best wishes, Kerstin (Ritter) From livia.predoiu at googlemail.com Fri Jun 14 08:33:29 2019 From: livia.predoiu at googlemail.com (Livia Predoiu) Date: Fri, 14 Jun 2019 14:33:29 +0200 Subject: Connectionists: CfP: Deadline Extension for GCAI 2019 (5th Global Conference on Artificial Intelligence) Message-ID: Apologies for cross-posting. Please forward to interested parties. *************************************************************** The abstract deadline of GCAI 2019 has been extended to 28 June 2019! ----------------------------------------------------------------- CfP: GCAI 2019 (5th Global Conference on Artificial Intelligence) ----------------------------------------------------------------- The 5th Global Conference on Artificial Intelligence (GCAI 2019) will be held in Bolzano, 17-19 September 2019. The core objective of GCAI 2019 is to bring together the two main souls of AI, namely symbolic reasoning and machine/deep learning, applied to both software and robotic systems. See https://gcai2019.inf.unibz.it/ GCAI 2019 will be held as part of the Bolzano Rules and Artificial INtelligence Summit (BRAIN 2019). With a special focus theme on "beneficial AI", BRAIN 2019 aims at presenting the latest advancements in AI and rules and their adoption in IT systems towards improving key fields such as environment, health and societies. Submissions that address this theme within the general topics of GCAI are especially welcome. See https://brain2019.inf.unibz.it/ SUBMISSION GUIDELINES GCAI 2019 accepts submissions of two types: - Full paper submissions, which must be original and cannot be submitted simultaneously elsewhere. Full paper submissions must be at most 12 pages long, excluding references. Additional support material may be included in an appendix, which may be considered or ignored by the program committee. - Extended abstract submissions, which report on ongoing or preliminary work, or on work that is central to symbolic reasoning and/or machine/deep learning applied to both software and robotic systems, but that has already been submitted or recently published elsewhere as a full paper (in the case of an already published paper, the full version has to be referenced explicitly). Extended abstract submissions must be at most 4 pages long, excluding references. Both types of submissions must be prepared in LaTeX or Microsoft Word using the EasyChair templates, and uploaded in PDF format. Submissions not complying with these guidelines will be rejected at the discretion of the program committee. Each submission will be reviewed by at least two reviewers. Abstracts are due on 14 June 2019, full papers and extended abstracts are due on 21 June 2019, and decisions will be made by 26 July 2019. Submissions: via EasyChair https://easychair.org/conferences/?conf=gcai2019 Instructions for authors and EasyChair paper templates can be found at https://easychair.org/publications/for_authors. LIST OF TOPICS Submissions in all areas of artificial intelligence are welcome. Suggested topics include, but are not limited to: Foundations + Knowledge representation + Cognitive modeling + Perception + Search + Reasoning and programming + Machine learning + Explainable AI + Constraints and uncertainty Architectures + Agents and distributed AI + Intelligent user interfaces + Natural language systems and linguistics + Information retrieval + Case-based reasoning + Hierarchical and deep representations + Affective computing Applications + Aviation and aerospace + Education and tutoring systems + Games and entertainment + Human-machine interaction + Law and machine ethics + Mathematics and the sciences + Medicine and healthcare + Management and manufacturing + World Wide Web + Robotics + Security Implications + Philosophical foundations + Social impact and ethics + Evaluation of AI systems + AI education COMMITTEES Program Chairs Diego Calvanese (Free University of Bozen-Bolzano, Italy) Luca Iocchi (Sapienza University of Rome, Italy) Steering Committee Nikolaj Bjorner (Microsoft Research, USA) Adel Bouhoula (University of Carthage, Tunisia) Laura Kov?cs (Chalmers University, Sweden) Sriram Rajamani (Microsoft Research, India) Geoff Sutcliffe (University of Miami, USA) Andrei Voronkov (University of Manchester, UK) Organizing Committee of GCAI and BRAIN 2019 https://brain2019.inf.unibz.it/?p=organization PUBLICATION GCAI 2019 proceedings will be published in the EasyChair EPiC series in Computing. Proceedings of the previous GCAI conferences are available online: Georg Gottlob, Geoff Sutcliffe and Andrei Voronkov (editors). GCAI 2015. Global Conference on Artificial Intelligence (EPiC Series in Computing, Volume 36) https://easychair.org/publications/volume/GCAI_2015 Christoph Benzm?ller, Geoff Sutcliffe and Raul Rojas (editors). GCAI 2016. 2nd Global Conference on Artificial Intelligence (EPiC Series in Computing, Volume 41) https://easychair.org/publications/volume/GCAI_2016 Christoph Benzm?ller, Christine Lisetti and Martin Theobald (editors). GCAI 2017. 3rd Global Conference on Artificial Intelligence (EPiC Series in Computing, Volume 50) https://easychair.org/publications/volume/GCAI_2017 Daniel Lee, Alexander Steen and Toby Walsh (editors). GCAI-2018. 4th Global Conference on Artificial Intelligence (EPiC Series in Computing, Volume 55) https://easychair.org/publications/volume/GCAI-2018 KEY DATES - Abstract submission deadline: 14 June 2019 (extended to 28 June 2019) - Paper submission deadline: 21 June 2019 (extended to 5 July 2019) - Acceptance notification: 26 July 2019 - Camera ready copy due: 16 August 2019 - Conference: 17-19 September 2019 VENUE The conference will be held in the main building of the Free University of Bozen-Bolzano, Bolzano Italy, 17-19 September 2019. CONTACT All questions about submissions should be emailed to the program chairs. -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Fri Jun 14 06:02:02 2019 From: suashdeb at gmail.com (Suash Deb) Date: Fri, 14 Jun 2019 15:32:02 +0530 Subject: Connectionists: Conference in memory of life & work of Prof. Lotfi Zadeh ((Technically sponsored by IEEE SMCs) Message-ID: Dear Colleagues, ISCMI19, an annual intl. event of IICCI - http://www.iicci.in/ , dedicated to the life & memory of Prof. L. Zadeh & technically sponsored by IEEE SMC society, to be held in Johannesburg, RSA this year http://iscmi.us As the submission deadline for this conference is fast approaching, may l kindly remind all of you to prepare to do the needful. It would be pertinent to mention abt the IEEE publication of conference proceedings & uploading of the same at IEEE Xplore ( as has been done for all the hitherto held ISCMI as well as the scope of some of the conference papers for reputed (SCIE & Scopus indexed) journals http://iscmi.us/journal.html Hope to receive a no. of quality papers from you/your peers soon. Thanks & rgds, Suash -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Fri Jun 14 09:33:09 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Fri, 14 Jun 2019 09:33:09 -0400 Subject: Connectionists: 2nd call for illusion submissions: the 15th Best Illusion of the Year Contest In-Reply-To: <029c01d522b4$092b7bc0$1b827340$@neuralcorrelate.com> References: <029c01d522b4$092b7bc0$1b827340$@neuralcorrelate.com> Message-ID: <031301d522b5$b838e8e0$28aabaa0$@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 fabio.bellavia at unifi.it Fri Jun 14 06:38:14 2019 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Fri, 14 Jun 2019 12:38:14 +0200 Subject: Connectionists: IET Computer Vision - special issue on Local Image Descriptors - deadline Aug 1st 2019 Message-ID: <9347f2a1-137d-24fd-94fd-9980c2241086@unifi.it> ????????? Apologies for multiple posting ?? Please distribute this call to interested parties ******************************************************** ??????????? Call for Papers -- special issue ? of the international journal IET Computer Vision on ??? ---------------------------------------------- ????? Local Image Descriptors in Computer Vision ??? ---------------------------------------------- Local image descriptors are involved in a multitude of relevant computer vision tasks dealing with point correspondences among several images, from registration through detection to classification. This has ensured that local image descriptors remained an evergreen topic through the years, up to the modern solutions and challenges arising from deep learning advances, big data and hardware improvements. This special issue will provide the computer vision community with the opportunity to systematically collect and share the latest developments and trends on this active research field. It will also offer scientists the chance to propose original ideas and uncommon approaches, out of the mainstream ones, and open to unexplored research directions. Topics include, but are not limited to: - recent advances in local image detector and descriptor design - handcrafted vs deep and general data-driven local descriptors - time and storage efficient descriptor solutions - local image descriptors for large-scale scenarios - enhanced matching with statistical and spatial constraints - uncommon and innovative applications of local descriptors - deep local descriptors interpretation and visualization - descriptor evaluation, new benchmark protocols and datasets **************************************** ?? Submission Deadline: 1 August 2019 **************************************** Submit your paper to manuscript submission and peer review site via the following link: ??????????? >>>>>> www.ietdl.org/IET-CVI <<<<<< ----------------- ?Editor-in-Chief ----------------- Majid Mirmehdi, University of Bristol, UK ---------------- ?Guest Editors ---------------- Carlo Colombo, University of Florence, Italy Fabio Bellavia, University of Florence, Italy ---------------------------------------- Pdf flyer of the call for special issue ---------------------------------------- https://digital-library.theiet.org/files/IET_CVI_Local_Image_Descriptors.pdf From tony.pipe at brl.ac.uk Sun Jun 16 09:39:17 2019 From: tony.pipe at brl.ac.uk (Tony Pipe) Date: Sun, 16 Jun 2019 13:39:17 +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: <2587eee5-8ae4-dc3b-a4e1-0b74a526e55b@brl.ac.uk> 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 [X] -------------- next part -------------- An HTML attachment was scrubbed... URL: From kenneth.harris at ucl.ac.uk Sun Jun 16 06:31:12 2019 From: kenneth.harris at ucl.ac.uk (Harris, Kenneth) Date: Sun, 16 Jun 2019 10:31:12 +0000 Subject: Connectionists: Postdoctoral research position in neuroscience Message-ID: Our neuroscience research team at University College London is looking for a postdoctoral researcher to study how large populations of neurons work together to process information. This work involves analyzing simultaneous recordings of neurons from across the brain, using advanced tools from statistics and machine learning. This position would suit candidates with a first degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience, or a related field. Strong programming skills are essential (we mostly use Python and MATLAB). Knowledge of neuroscience is desirable, but we will also consider candidates with a machine learning background who are interested in learning neurobiology. The job involves analyzing experimental data, but does not require performing experiments, and we encourage applicants with a background in theoretical neuroscience or data science to apply. 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. Women and unrepresented minorities are particularly encouraged to apply. The deadline for applications in 12 July 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 Albrecht_Zimmermann at gmx.net Sun Jun 16 08:17:53 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Sun, 16 Jun 2019 14:17:53 +0200 Subject: Connectionists: [ECML PKDD 2019] List of accepted papers/registration Message-ID: An HTML attachment was scrubbed... URL: From jconradt at kth.se Mon Jun 17 05:04:49 2019 From: jconradt at kth.se (=?iso-8859-1?Q?J=F6rg_Conradt?=) Date: Mon, 17 Jun 2019 09:04:49 +0000 Subject: Connectionists: Ph.D. positions in Neuromorphics and Robotics at KTH Stockholm Message-ID: <7129166041a140fab15dbe1d358dc6bc@exdb04.ug.kth.se> Here a call for open Ph.D. positions in Neuromorphics and Robotics (algorithms and hardware), exact project flexible. Application deadline July 12. https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:274694 Would you know of anyone interested? Please forward. Any information needed? Please anyone inquire informally by brief email. Information on our work here ("old and somewhat outdated" pages from my former group): http://tum.neurocomputing.systems/en/research/index.html Thank you! I am very much looking forward to increasing the group at KTH. J?rg [Kth Logo] J?rg Conradt Prof. Dr. KTH Royal Institute of Technology Computational Science and Technology School of Electrical Engineering and Computer Science Lindstedtsv?gen 5, SE-114 28 Stockholm, Sweden Phone: +46-8-790 6231 Email: conr at kth.se, Web: www.kth.se -------------- next part -------------- An HTML attachment was scrubbed... URL: From Albrecht_Zimmermann at gmx.net Mon Jun 17 06:23:50 2019 From: Albrecht_Zimmermann at gmx.net (Albrecht Zimmermann) Date: Mon, 17 Jun 2019 12:23:50 +0200 Subject: Connectionists: Deadline extension for MLSA19 workshop @ ECML PKDD 2019 Message-ID: An HTML attachment was scrubbed... URL: From lpulina at uniss.it Mon Jun 17 09:07:29 2019 From: lpulina at uniss.it (Luca Pulina) Date: Mon, 17 Jun 2019 15:07:29 +0200 Subject: Connectionists: [Call for Papers] AIIA19 - The 18th International Conference of the Italian Association for Artificial Intelligence Message-ID: <43716570-85fa-649b-8ac2-226bf3f78d29@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 annalisa.riccardi at strath.ac.uk Mon Jun 17 09:54:02 2019 From: annalisa.riccardi at strath.ac.uk (Annalisa Riccardi) Date: Mon, 17 Jun 2019 13:54:02 +0000 Subject: Connectionists: Fully Funded PhD position on Satellite Image Processing to support UN Sustainable Development Goals Message-ID: <5F981B7DF1B7214DB40BAA37423DD2B636E47844@EX2010-MBX1.ds.strath.ac.uk> **** Fully Funded PhD position on Satellite Image Processing to support UN Sustainable Development Goals**** 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). Supervisor: 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 modeled 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. This part of the work will be done in collaboration with two other researchers from Strathclyde Business School. *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. 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: 15 July 2019*** In the first instance, interested parties should contact (with their CV) the supervisor: annalisa.riccardi at strath.ac.uk From cristobal.nettle at gmail.com Mon Jun 17 16:20:01 2019 From: cristobal.nettle at gmail.com (Cristobal Jesus Nettle Vacher) Date: Mon, 17 Jun 2019 16:20:01 -0400 Subject: Connectionists: [CRoNe2019] Calls extended! Congress on Robotics and Neuroscience, Valparaiso-Chile In-Reply-To: References: Message-ID: [Apologies if you receive multiple copies of this CFP due to cross-posting] Dear author, we have extended the deadlines for both, *paper *and *workshop* submissions. All the information can be found below and in CRoNe 's website. Hoping to see you there, Crist?bal Nettle V. General Chair, CRoNe2019 If you are not able to see this mail, click here *Dear Author,* It is our pleasure to personally invite you to contribute with a paper for poster presentation and/or a workshop proposal to the Fifth Congress on Robotics and Neuroscience (CRoNe ), to be held in Valpara?so, Chile. Organizing committee belongs to the Innovation and Robotics Students group at UTFSM, which calls an appropriate program committee, aiming to be a strong meeting point for people from engineering, human and biological sciences for developing and understanding complex intelligent systems. Submit through EasyChair *Articles* Submit an *abstract* up to 1500 characters until *June 28th*. Submitted papers must consider: - A maximum extension of 7 pages. - Uploaded in PDF format. - Must follow one-column Latex template available here . Last congress proceedings volume from previous version was published on CEUR-WS.org series, and it has been indexed by Scopus and Scholar Google. View detailed Call for Posters *Workshops* Submit a proposal until *June 28th*, including: - Topics and goals up to 800 words. - Organizational details. - Motivation and scientific relevance to the conference audience. Each workshop will be assigned a number of slots (from 1 to 3 slots) during the conference days. A slot can vary from 1 to 2.5 hours. View detailed Call for Workshops Innovaci?n y Rob?tica Estudiantil UTFSM Congress on Robotics and Neuroscience crone at innovacionyrobotica.com [image: Facebook] [image: Instagram] If you wish to unsubscribe from our newsletter, click here [image: Mailin] -------------- next part -------------- An HTML attachment was scrubbed... URL: From uwe.aickelin at unimelb.edu.au Tue Jun 18 00:00:26 2019 From: uwe.aickelin at unimelb.edu.au (Uwe Aickelin) Date: Tue, 18 Jun 2019 04:00:26 +0000 Subject: Connectionists: Research Fellow in Medical Data Mining Message-ID: Hi, We seek a Research Fellow for a two-year appointment with expertise in computational algorithms, machine learning driven analytics and advanced data mining approaches for medical and health data. You will be working closely with other researchers in biomedical datamining projects, in particular in the analysis of electronic healthcare records. Job no: 0048228 Work type: Full-time, Fixed Term for 2 years Location: Parkville ? Melbourne - Australia Department/School: School of Computing and Information Systems Salary: the appointment for this position will be either at a Level A Research Fellow ($89,251- $95,800 p.a) or a Level B Research Fellow ($100,849 - $119,753 p.a), commensurate with experience relevant to the role, plus 9.5% superannuation. Applications close: 12 Jul 2019 11:55 PM AUS Eastern Standard Time Full details: http://jobs.unimelb.edu.au/caw/en/job/899634/research-fellow-in-medical-data-mining To apply: https://secure.dc2.pageuppeople.com/apply/422/aw/applicationForm/initApplication.asp?lJobID=899634&sLanguage=en&sSourcePointer=aw&lJobSourceTypeID=1090 Uwe Aickelin Professor Uwe Aickelin | Head of School of Computing and Information Systems Melbourne School of Engineering Level 8, Doug McDonell Building, 168 Grattan Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin at unimelb.edu.au http://aickelin.com/ | http://linkedin.com/in/aickelin I acknowledge the Traditional Owners of the land on which I work, and pay my respects to the Elders, past and present. CRICOS: 00116K This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error, please delete it and notify us by return email. [signature_1111626909] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 143403 bytes Desc: image001.png URL: From julia.vogt at inf.ethz.ch Tue Jun 18 03:11:05 2019 From: julia.vogt at inf.ethz.ch (Vogt Julia) Date: Tue, 18 Jun 2019 07:11:05 +0000 Subject: Connectionists: Post-doc Position in Machine Learning/Medical Data Science at ETH Zurich Message-ID: Positions for Postdoctoral Researchers at ETH Zurich, Switzerland The newly established research group headed by Professor Julia Vogt at ETH Zurich is seeking a highly motivated postdoctoral researcher with a strong machine learning background. Applicants should be interested in working in an interdisciplinary environment at the interface of Machine Learning, Medicine and Health Care. The postdoctoral researcher will interact and collaborate closely with both faculty and graduate students in our research group, as well as with interdisciplinary collaborators from the medical domain. He/she will work on foundational machine learning challenges and will lead projects. The postdoc will have the possibility to participate in basic, translational science that brings novel machine learning techniques into impactful biomedical applications. Machine learning topics of interest include, but are not limited to, probabilistic modeling, deep learning, time-series modelling, generative models, natural language processing and integrating multi-modal data. Our group conducts research at the intersection of machine learning and healthcare, and our research topics are inspired by the challenges which arise by dealing with medical data. ETH Zurich is one of the world?s leading universities specialising in science and technology. It is renowned for its excellent education, its cutting-edge fundamental research and its efforts to put new knowledge and innovations directly into practice. Qualifications Interested postdoc applicants should have a Ph.D. degree in Computer Science, Mathematics, Statistics, or related fields, with a strong publication record in top conferences such as NeurIPS, ICML, ICLR, AISTATS, AAAI, KDD, JMLR, etc. Experience in working on medical or biological data is not required, but applicants must bring a keen interest in the problems of the field. Candidates should send a research proposal, a CV and a cover letter/personal statement including the names of three referees to Julia Vogt (julia.vogt at inf.ethz.ch) and use ?#application #postdoc? in the subject line. -------------- next part -------------- An HTML attachment was scrubbed... URL: From kenneth.harris at ucl.ac.uk Tue Jun 18 09:11:04 2019 From: kenneth.harris at ucl.ac.uk (Harris, Kenneth) Date: Tue, 18 Jun 2019 13:11:04 +0000 Subject: Connectionists: CORRECTION: Postdoctoral research position in neuroscience Message-ID: I'm sorry there was a typo in the previous message! The reference number for the postdoc position is 1807527, which is open until July 12. Reference number 1805922 is for a software developer position, contributing to the same project, but which does not require a PhD. This position is also still open until June 25 2019. ----- Our neuroscience research team at University College London is looking for a postdoctoral researcher to study how large populations of neurons work together to process information. This work involves analyzing simultaneous recordings of neurons from across the brain, using advanced tools from statistics and machine learning. This position would suit candidates with a first degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience, or a related field. Strong programming skills are essential (we mostly use Python and MATLAB). Knowledge of neuroscience is desirable, but we will also consider candidates with a machine learning background who are interested in learning neurobiology. The job involves analyzing experimental data, but does not require performing experiments, and we encourage applicants with a background in theoretical neuroscience or data science to apply. 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. Women and unrepresented minorities are particularly encouraged to apply. The deadline for applications in 12 July 2019. -------------- next part -------------- An HTML attachment was scrubbed... URL: From V.Tamma at liverpool.ac.uk Wed Jun 19 05:52:19 2019 From: V.Tamma at liverpool.ac.uk (Tamma, Valentina) Date: Wed, 19 Jun 2019 09:52:19 +0000 Subject: Connectionists: Fwd: PhD position in Research Objects for Palliative Care References: Message-ID: <0491F194-C6CA-4ADD-BA61-4648835A638E@liverpool.ac.uk> Apologies for multiple posting PhD position in ?Research Objects for Palliative Care? A funded PhD opportunity is available to explore how Research Objects can be used to model patients selected for Palliative Care. Research Objects are a linked-data formalism that brings together different types of distributed data, including workflows and process models, into a single, coherent and reusable component that tracks its provenance and evolves over time. Research objects are built on knowledge modelling formalisms such as the W3C standards RDFS and OWL, and can be linked to the numerous medical ontologies already in existence and used extensively by the medical community. The project is jointly supervised by Dr Valentina Tamma (Computer Science) and Prof Ian Buchan (Institute of Population Health Sciences) at the University of Liverpool. The project description is available at: https://www.findaphd.com/phds/project/research-objects-for-palliative-care/?p109641 The closing date is June 28th, 2019. This project is funded by the University of Liverpool Doctoral Network in Future Digital Health, successful students will receive a studentship of tuition fees paid at the Home/EU rate for 3.5 years and a stipend of ?15,009 per annum for 3.5 years. In addition, students will have access to a research support fund of ?1,000 per annum for purchasing equipment, consumables and conference costs co-managed by the academic supervisor. Applications from international students are welcomed, however suitable arrangements will need to be made for the difference between the Home/EU and international rate. _______________________________________________________ Dr Valentina Tamma Department of Computer Science | http://www.csc.liv.ac.uk/~valli University of Liverpool | tel. +44-151-795 4246 Ashton Building | fax +44-151-795 4235 Liverpool, L69 3BX, UK | email: V.Tamma at liverpool.ac.uk | skype: valentinatamma -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.saal at sheffield.ac.uk Thu Jun 20 07:03:48 2019 From: h.saal at sheffield.ac.uk (Hannes Saal) Date: Thu, 20 Jun 2019 12:03:48 +0100 Subject: Connectionists: Two PhD positions in tactile robotics and computational neuroscience at University of Sheffield Message-ID: Applications are invited for two three-year Early Stage Researcher pre-doctoral positions on tactile processing for robotics and prosthetics. The positions are part of the new H2020 Marie-Curie Network NeuTouch ( neutouch.eu). NeuTouch aims at improving artificial tactile systems, by training a new generation of researchers that study how human and animal?s tactile systems work, develop a new type of technology that is based on the same principles, and use this technology for building robots that can help humans in daily tasks and artificial limbs that can give the user the sensation of real touch. The two projects allocated to the University of Sheffield are: 1. Memory-based tactile perception and task-relevant action selection in robots The aim of the project is to develop, and implement in robots, a biologically-inspired mathematical model of how spatiotemporal patterns of tactile information can be efficiently encoded and recalled for the selection of action and control of behavior. The PhD will be under the main supervision of Professor Tony Prescott (Department of Computer Science, Faculty of Engineering). Key requirements are a good degree in a numerate discipline (e.g. Computer Science, Mathematics, Physics), with experience of programming (ideally in Python, C, or Matlab), a strong interest and/or experience in understanding human/animal brain function, experience/strong interest in robotics. 2. A spiking model of realistic human tactile interactions This project aims to improve current population spiking models of peripheral tactile responses such that they can be directly coupled to an appropriate touch sensor and deliver realistic tactile feedback in real-time. The PhD will be under the supervision of Dr Hannes Saal (Department of Psychology, Faculty of Science). Key requirements are a degree in Computer Science, engineering, or another numerate discipline, with experience in programming (ideally Python or Matlab); an interest in interdisciplinary work involving neuroscience, robotics, and engineering. For further details and application instructions, please see https://www.jobs.ac.uk/job/BSR801/marie-curie-early-stage-researcher The application deadline is 2 July 2019. Best wishes, Hannes Saal -- Dr Hannes P Saal Lecturer in Cognitive Science and Computational Modelling Active Touch Laboratory Department of Psychology & Sheffield Robotics University of Sheffield Pam Liversidge Building F.05 Sheffield S1 3JD United Kingdom Tel: +44 (0)114 222 6504 <0114%20222%206504> Web: https://www.sheffield.ac.uk/psychology/staff/academic/hannes_saal -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at aimove.eu Thu Jun 20 08:49:19 2019 From: info at aimove.eu (AIMove Post Master's Degree) Date: Thu, 20 Jun 2019 14:49:19 +0200 Subject: Connectionists: Deadline extension: AIMove Post-Master's Degree at MINES ParisTech: Artificial Intelligence and Movement in Industries and Creation In-Reply-To: References: Message-ID: AIMove Post Masters' Degree at MINES ParisTech - ?cole des Mines de Paris [1] reopens admissions for those who are interested in applying for a unique educational experience in Human-Centred AI . For the academic year 2019-20, applications will now be accepted until July 8, 2019. Please save the date and circulate the news ! CONFERENCE DES GRANDES ECOLES PSL UNIVERSITE PARIS MINES PARISTECH Post-Master's Degree Mast?re Sp?cialis? ? AIMove ARTIFICIAL INTELLIGENCE and MOVEMENT in Industries and Creation An international English taught programme in Paris. AIMove is a fully-accredited professional program, created within the Centre for Robotics of MINES ParisTech. It is getting specialised in human-centred AI and enhances professional development and expertise in the fields of human-machine interaction and collaboration, internet of things, machine learning, pattern recognition, computer vision, VR/AR and intermixed reality, and emergent related fields. This unique international program, taught entirely in English, brings together the leading European professionals in the sector of human-centred artificial intelligence and trains future engineers who are experts in AI with specialised application in human movement. MODULES AI and societal challenges Motion capture, modelling and pattern recognition User Interaction and User Experience Human, machines and connected objects Movement and European industrial leadership Interdisciplinary AI engagement _To access the full list of courses click here [2] or check the attached Brochure_ STRUCTURE 6-month courses, GAIIA Think-Tank and Summer School, Interdisciplinary engagement AND 6-month enterprise internship with a competitive salary ENTRY REQUIREMENTS 5 years at University level OR 4 years at University level + 3 years of professional experience Partners IRCAM Pompidou Centre (France) I CERTH The Centre for Research and Technology-Hellas (Greece) I MDP Maxon Motor France I HAAS Lawyers I Neurodatalab Emotion AI hub I Mocaplab Motion Capture Studios Idiap Research Institute (Switzerland) l INREV Paris8 University (France) l Goldsmiths University of London ADMISSIONS Deadline extension through July 8 2019 Throughout the year, wonderful projects took place, events, lectures and round tables were organised which allowed our students, invited guests and other participants to exchange around AI's most topical issues. Please take a peek below or reach out at aimove.eu with questions. Contact: info at aimove.eu Webpage: aimove.eu [3] Links: ------ [1] https://www.facebook.com/MinesParisTech/?__tn__=K-R&eid=ARCqvQvlgaYPEXVt6edBO0adMnSSS5f3Rew5N66mFqflFhvhfsDH0SAp54fts_Tg3In5jzEFq2dSMoW7&fref=mentions&__xts__%5B0%5D=68.ARCjiadnffhIbfrXtgoF_Q6JOy1kfXAxPFZZsU94pFm7NIC0gkA22Yntwllu0Udp1Hc5F_t1MkB6TjmU4pyH1K2Ihg6jG_64xp7I6nZigpXPpjtrnsdRqAMIZaHE5_Cz2cVkjHVnSYPJ6chu6wIPYz9MxmSgwDC6CQGq36EYr3aKqzelEdM3lFzQxltezaEUSpJMGynBgHfV_KWzqs94LLNj1NkHYx-L_-dCBpZvzCL601vq9fmmtYHJddAc6Rk69qCQsAvZVuzF39waAi9aSNcejge8t_v6wc-1xNgYuspQvMAdT_flrpeUQB39Y53-l5DjPjpuh6ovUqZ4RekV8GQ [2] https://aimove.eu/modules-and-courses/ [3] http://aimove.eu -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 0efaabe8.jpeg Type: image/jpeg Size: 537470 bytes Desc: not available URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Brochure-2019_20.pdf Type: application/pdf Size: 1226566 bytes Desc: not available URL: From iswc.conf at gmail.com Thu Jun 20 17:48:11 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Thu, 20 Jun 2019 23:48:11 +0200 Subject: Connectionists: [CfP] ISWC 2019 - **One week left** to submit your work to Industry, Posters & Demos, Outrageous Ideas tracks, Reproducibility + more ISWC info 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. Call for participation in the ISWC Reproducibility Initiative 7. 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. * The ISWC Reproducibility Initiative is running for the first time and will evaluate submissions from the accepted papers of the ISWC **Research Track**. * 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. Call for participation in the ISWC Reproducibility Initiative ******************************************* Many papers submitted to ISWC provide a very strong evaluation. Other researchers willing to build on top of these results often have a hard time to continue the work because the results in the paper are difficult to reproduce. Hence, as an author of a research track paper, we would like to invite you to submit your contribution to the Reproducibility Initiative. The ISWC Reproducibility Initiative has the following goals: - To enable easy sharing of code and experimentation set-ups (take a paper and reuse it). - To make more code and data available. - To highlight the impact and increase the credibility of the Semantic Web research. - To facilitate the dissemination of research results. - We would like to build a culture where sharing results, code, and scripts is the norm rather than an exception. The challenge is to do this efficiently, which means building technical expertise on how to do better research via creating repeatable and shareable methods and results. Considering reproducibility as a goal, the assessment of papers will consider a spectrum varying from: - Basic availability of source code and data - Fully reproducible results given that the data, source code, and documentation are made available. The Reproducibility Initiative is open to the accepted papers of the ISWC Research Track that have some significant experimental results that are prone to be reproducible. For the reproducibility assessment, a member of the Programme Committee will interact with the authors to check the availability of the data, source code, documentation, configuration requirements and reproduce the most important results of the paper. Further info: http://repro.semanticweb.org/ == Important Dates == Submissions due July 9, 2019 == Program Chairs == Contact: iswc2019-reproducibility at inria.fr Alejandra Gonzalez-Beltran, Science and Technology Facilities Council, United Kingdom Michael Cochez, Fraunhofer FIT, Germany 7. 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 terry at salk.edu Thu Jun 20 17:35:49 2019 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 20 Jun 2019 14:35:49 -0700 Subject: Connectionists: NEURAL COMPUTATION - July 1, 2019 In-Reply-To: Message-ID: Neural Computation - Volume 31, Number 7 - July 1, 2019 Available online for download now: http://www.mitpressjournals.org/toc/neco/31/7 http://cognet.mit.edu/content/neural-computation Review A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures Yong Yu, Xiaosheng Si, Changhua Hu, and Jianxue Zhang Letters Characterizing Brain Connectivity From Human Electrocorticography (ECoG) Recordings With Unobserved Inputs During Epileptic Seizures Anup Das, Daniel Sexton, Claudia Lainscsek, Sydney S. Cash and Terrence J Sejnowski Multi-Input Multi-Output Neuronal Mode Network Approach to Modeling the Encoding Dynamics and Functional Connectivity of Neural Systems Kunling Geng, Dae C. Shin, Dong Song, Robert E Hampson, Sam A Deadwyler, Theodore Berger, and Vasilis Z Marmarelis Effective Dimensionality Reduction for Visualizing Neural Dynamics by Laplacian Eigenmaps G. Sun, S. Zhang, Y. Zhang, K. Xu, Q. Zhang, T. Zhao, and Xiaoxiang Zheng A Computational Perspective of the Role of Thalamus in Cognition Nima Dehghani, Ralf D Wimmer A Case of Near-optimal Sensory Integration Based on Kohonen Self-Organizing Maps Lennart Gustafsson A Reservoir Computing Model of Reward Modulated Motor Learning and Automaticity Ryan Pyle, Rob Rosenbaum Effect of Depth and Width of Neural Networks on Local Minima Kenji Kawaguchi, Jiaoyang Huang, and Leslie Pack Kaelbling Matrix Product State Based Quantum Classifier Amandeep Singh Bhatia, Mandeep Kaur Saggi, Ajay Kumar, and Sushma Jain ------------ 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 fellous at email.arizona.edu Thu Jun 20 17:58:27 2019 From: fellous at email.arizona.edu (Fellous, Jean-Marc - (fellous)) Date: Thu, 20 Jun 2019 21:58:27 +0000 Subject: Connectionists: =?windows-1252?q?Special_Issue_=96_Call_for_Paper?= =?windows-1252?q?s=3A_Complex_Spatial_Navigation_in_Animals=2C_Computatio?= =?windows-1252?q?nal_Models_and_Neuro-inspired_Robots?= Message-ID: Biological Cybernetics: Special Issue ? Call for Papers Latest Advances in Complex Spatial Navigation in Animals, Computational Models and Neuro-inspired Robots Editors: Jean-Marc Fellous (University of Arizona), Peter Dominey (INSERM, Lyon, France), Alfredo Weitzenfeld (University of South Florida) The neural basis of spatial navigation is overwhelmingly studied using simplified tasks and simplified environments. Subjects (robots, animals or humans) are typically required to only make few decisions (e.g. turn right, turn left) in static and cue poor ethologically-small-scaled environments devoid of obstacles and in which movements are heavily constrained (e.g. T-maze). While a lot has been learned experimentally and theoretically from such approaches, time has come to understand spatial navigation in more realistic conditions. The goal of this special issue is to collect contributions related to the latest advances in understanding the neural mechanisms of complex spatial navigation using experimental studies in Animals, Computational Neuroscience and Neurorobotics. Confirmed contributors: Michael Arbib (USC), Peter Dominey (INSERM), Jean-Marc Fellous (UA), Philippe Gaussier (U. Cergy-Pontoise), Mehdi Khamassi (CNRS), Jeff Krichmar (UCI), Alfredo Weitzenfeld (USF) Ideally responsive manuscripts should 1) explicitly outline what type of complexity is addressed, 2) preferably consider experimentally constrained data (as part of the manuscript itself, or by reference) 3) consider theoretical implications. Authors can inquire about the appropriateness of their submission by sending a short abstract and questions to Dr. Jean-Marc Fellous (fellous at email.arizona.edu). Submissions before July 31st, 2019 will be given full considerations. More information about Biological Cybernetics: https://link.springer.com/journal/422 -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentina.ivanova at ri.se Thu Jun 20 18:15:06 2019 From: valentina.ivanova at ri.se (Valentina Ivanova) Date: Thu, 20 Jun 2019 22:15:06 +0000 Subject: Connectionists: [CfP] VOILA!2019 @ISWC2019 Abstracts **due today** & full papers in a week for the 5th International Workshop on Visualization and Interaction for Ontologies and Linked Data Message-ID: <349078ddbee44dbbb6137c646df442cf@ri.se> 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, 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, 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 ioannakoroni at csd.auth.gr Thu Jun 20 08:25:54 2019 From: ioannakoroni at csd.auth.gr (ioannakoroni at csd.auth.gr) Date: Thu, 20 Jun 2019 15:25:54 +0300 Subject: Connectionists: MSc on "Digital Media - Computational Intelligence" Message-ID: <029401d52763$4e5bc3e0$eb134ba0$@csd.auth.gr> The School of Informatics at the Aristotle University of Thessaloniki will offer the MSc Course Programme on "Digital Media - Computational Intelligence" the forthcoming academic year. This MSc covers a range of advanced topics related to digital media. Digital media collectively refer to content found in audio, images, video, written and aural speech, biosignals, graphics, and virtual reality. To analyze the aforementioned content, one needs good foundations in signal processing, computer vision, graphics, pattern recognition/machine learning and computational intelligence, including associated enabling technologies (e.g., language technologies, deep learning, computer animation, brain computer interfaces). The MSc provides an excellent opportunity to develop the skills required for careers in some of the most dynamic fields in processing and analysis of big data extracted from multimedia, social networks, the web, the internet of things, without excluding complex adaptive systems of social life and robotics. This programme builds on the internationally recognized research strengths of the Artificial Intelligence and Information Analysis Laboratory within the School of Informatics at the Aristotle University of Thessaloniki. This research team conducts pioneering research in the required aforementioned fundamental disciplines and work areas. The laboratory is well equipped with first-class computational facilities and state-of-the-art measurement equipment, including multiple cameras, microphone arrays, motion capture magnetic sensors, brain interfaces, and drones. The MSc provides in-depth training in design, analysis, and management skills relevant to the theory and practice of related industry. Foreign students are welcome! Courses are taught in English. We are proud to quote 2019 U.S. News Education University Rankings of Aristotle University of Thessaloniki in Subjects Computer Science (#181 tied) and Engineering (#152 tied) under Best Global Universities https://www.usnews.com/education/best-global-universities/aristotle-universi ty-of-thessaloniki-506056 Stay informed and submit the application now at http://dmci.csd.auth.gr/admissions/ Deadline for application submission: September, the 10th, 2019. Contact details: Professor Constantine Kotropoulos, Director of the MSc Programme Email: costas at csd.auth.gr Follow us in facebook: https://www.facebook.com/dmci.eng.csd Brochure https://drive.google.com/open?id=1vbePAGd6ttoApeR4pTFWjAmkrzaOS35s -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcello.pelillo at gmail.com Fri Jun 21 12:46:43 2019 From: marcello.pelillo at gmail.com (Marcello Pelillo) Date: Fri, 21 Jun 2019 18:46:43 +0200 Subject: Connectionists: Call for Papers: EMMCVPR 2019 (Wuhan, China) In-Reply-To: References: Message-ID: Call for Papers *EMMCVPR 2019* *12th International Conference on Energy Minimization Methods inComputer Vision and Pattern Recognition* 23 ? 25 October 2019 Wuhan, China http://captain.whu.edu.cn/EMMCVPR2019/ *>>> Submission deadline: 27 July 2019 <<<* Energy minimization methods have become an established computational paradigm in computer vision and pattern recognition. EMMCVPR is a regular bi-annual conference, established in 1997, dedicated to advancing the state of the art in this field. The scientific program will include the presentation of invited plenary talks and contributed research papers. Topics of interest include (but are not limited to): - Discrete and continuous optimization - Convex programming and relaxations - PDE and variational methods - Stochastic optimization - Spectral methods - Graphical models and markov random fields - Statistical methods and learning - Graph-theoretic and network-based methods - Analysis of deep architectures - Adversarial and game-theoretic models - Combinatorial optimization Application areas include (but are not limited to): - Object recognition and detection - Scene understanding - Segmentation and grouping - Restoration and inpainting - Color and texture - Computational photography - Photo and video editing - Motion and tracking - Matching and registration - Medical image analysis - Pose estimation - Action and event recognition - Shape analysis - Shape-from-X - Stereo and 3D reconstruction - Multiview geometry - Vision for graphics *Paper submission* All papers (not exceeding 14 pages) must be submitted electronically at the conference website . All submissions will be subject to a rigorous peer-review process. Accepted papers will appear in the workshop proceedings, which will be published in Springer?s Lecture Notes in Computer Science (LNCS) series after the conference (approval pending). *Important dates* - Paper submission: 27 July 2019 - Notifications: 31 August 2019 - Conference: 23 - 25 October 2019 - Camera ready due: 1 December 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From hendrik.purwins at accenture.com Sat Jun 22 13:16:02 2019 From: hendrik.purwins at accenture.com (Purwins, Hendrik) Date: Sat, 22 Jun 2019 17:16:02 +0000 Subject: Connectionists: Special Issue Machine Learning for Audio in IEEE JSTSP Message-ID: Dear List, we are excited to announce the publication of the Special Issue on Machine Learning for Audio Signal Processing in the IEEE Journal of Selected Topics in Signal Processing: https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=8717740 Audio signal processing is currently undergoing a paradigm change, where data-driven machine learning is replacing hand-crafted feature design. This issue is focused on machine learning techniques in the area of sound, speech and music signal processing, as well as methodological considerations of merging machine learning with audio signal processing. Various topics are covered, from a review of deep learning in the audio domain (Purwins et al.) to speech recognition (Bavu et al.), from voice activity detection (Ariav and Cohen) to musical brain state decoding (Ntalampiras and Potamitis), from music information retrieval (Kim et al.) to bioacoustic classification for species monitoring (Thakur and Rajan), from polyphonic acoustic event detection (Vesperini et al.) to heart sound segmentation (Oliveira et al.) and from speech enhancement (Wood and Rouat) to source separation (Le Roux et al.). We hope you will find this special issue useful! Best, Hendrik Purwins, Bob Sturm, Bo Li, Juhan Nam, Abeer Alwan Dr. Hendrik Purwins Senior Manager & AI Lead Emerging Technologies & Growth, ASGR Accenture ________________________________ This message is for the designated recipient only and may contain privileged, proprietary, or otherwise confidential information. If you have received it in error, please notify the sender immediately and delete the original. Any other use of the e-mail by you is prohibited. Where allowed by local law, electronic communications with Accenture and its affiliates, including e-mail and instant messaging (including content), may be scanned by our systems for the purposes of information security and assessment of internal compliance with Accenture policy. Your privacy is important to us. Accenture uses your personal data only in compliance with data protection laws. For further information on how Accenture processes your personal data, please see our privacy statement at https://www.accenture.com/us-en/privacy-policy. ______________________________________________________________________________________ www.accenture.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Sun Jun 23 11:28:44 2019 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Sun, 23 Jun 2019 15:28:44 +0000 Subject: Connectionists: SBP-BRiMS 2019 -- Call for Participation, Tutorials, Keynote Speakers, Demos ... 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 still 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 Tutorials: http://sbp-brims.org/2019/tutorial/ Can register to attend only tutorials on first day of conference, without attending the main conference. 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 Demos (Entries are still being accepted) SBP-BRiMS 2019 July 9-12 | Washington, D.C. www.sbp-brims.org Connect with #sbpbrims on social media: 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/ Get ready for the conference by downloading the official conference app: https://bit.ly/2X19VvO -------------- next part -------------- An HTML attachment was scrubbed... URL: From g.louppe at uliege.be Mon Jun 24 01:12:40 2019 From: g.louppe at uliege.be (Gilles Louppe) Date: Mon, 24 Jun 2019 07:12:40 +0200 Subject: Connectionists: =?utf-8?q?Three_PhD_fellowships_in_exoplanet_imag?= =?utf-8?q?ing_and_machine_learning_at_the_University_of_Li=C3=A8ge?= =?utf-8?q?=2C_Belgium?= Message-ID: The STAR Institute and the Montefiore Institute of the University of Li?ge jointly invite applications for 3 PhD positions in the fields of machine learning and stellar coronagraphy, with applications in exoplanet imaging. These positions are open within the context of an ERC Consolidator Grant and of a ULi?ge-funded ARC grant, both starting in 2019. The proposed research subjects are the following: 1. Development of next-generation vortex coronagraphs 2. Application of deep learning techniques to exoplanet imaging 3. Development of focal-plane wavefront sensing techniques using machine learning They are described in more detail here: https://sites.google.com/site/olivierabsil/research/epic-nnexi We seek excellent students with strong background in physical, engineering, and/or computer sciences. A successful candidate must hold a Masters degree or equivalent by the starting date of the position. Previous research experience and skills will be important criteria for the selection. Strong collaboration spirit and good communication skills in oral and written English are required. The PhD positions are not restricted by nationality. PhD students are funded for four years, earn competitive salaries, and are eligible for social security benefits. Applicants should send a CV, transcripts of study records (with grades), and a brief statement of past research and research interests to Dr Olivier Absil (olivier.absil at uliege.be) or Pr GIlles Louppe (g.louppe at uliege.be). They should also arrange for two reference letters to be sent to this address by the application deadline. Applicants may apply to one, two or three of the proposed positions at a time. In case of an application to more than one position, applicants are kindly asked to rank the positions by order of preference. The applications are to be written in English. Informal enquiries about these positions are welcome and should be sent to the address provided above. Starting dates are expected to be in September/October 2019, but are negotiable. Complete applications received by 15 July 2019 will receive full consideration. Candidates who submit complete applications before that date may be contacted earlier. Selections of candidates will continue until all positions are filled. For more information, please contact Dr Olivier Absil, coordinator of the ERC/ARC projects, or Pr Gilles Louppe. Best regards, Pr Gilles Louppe University of Li?ge, Belgium From nicho at uchicago.edu Sun Jun 23 20:05:22 2019 From: nicho at uchicago.edu (Nicholas Hatsopoulos) Date: Mon, 24 Jun 2019 00:05:22 +0000 Subject: Connectionists: n Encoding and Decoding of Sensorimotor control in Behaving Primates Using Multi-Electrode Cortical Recording and Stimulation Message-ID: Postdoctoral Position in Encoding and Decoding of Sensorimotor control in Behaving Primates Using Multi-Electrode Cortical Recording and Stimulation A postdoctoral position is available starting in the late summer or fall of 2019 to investigate the cortical basis of visuo-motor behavior. This project involves high density multi-electrode array recordings and stimulation from motor and premotor cortical sites in monkeys performing complex reaching and grasping movements as well as orofacial movements. Experiments seek to investigate spatio-temporal patterning in single unit and local field potential activity that encodes different aspects of these movements. These experiments also seek to develop decoding algorithms for possible application in brain-machine interfaces. Facilities include a fully equipped electrophysiological laboratory with three 128-channel acquisition systems, a two-link exoskeletal robot, a camera-based, motion capture system, and a 3D x-ray fluoroscopy system. Expertise in multi-electrode, behavioral electrophysiology is preferred. A strong mathematical, computational, or engineering background is also desirable. Applicants should send a CV and names and addresses of two or three references to Dr. Nicholas Hatsopoulos, Department of Organismal Biology & Anatomy, University of Chicago, 1027 East 57th Street, Chicago, IL 60637 or by e-mail to nicho at uchicago.edu. Nicholas Hatsopoulos Professor Dept. of Organismal Biology and Anatomy Committees on Computational Neuroscience and Neurobiology University of Chicago Culver Hall, Room 206 1027 East 57th street Chicago, IL 60637 773-702-5594 -------------- next part -------------- An HTML attachment was scrubbed... URL: From michael.felsberg at liu.se Mon Jun 24 02:36:35 2019 From: michael.felsberg at liu.se (Michael Felsberg) Date: Mon, 24 Jun 2019 06:36:35 +0000 Subject: Connectionists: Research fellow position (tenure track) - closing date July 8 Message-ID: The Computer Vision Laboratory at Linkoping University in Sweden 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 / med v?nliga h?lsningar Michael Felsberg -- Professor Michael Felsberg?????????????? Tel: +46 13 282460 Computer Vision Laboratory???????????? Mobile: +46 702 202460 Link?ping University??????????????????????????? email: michael.felsberg at liu.se SE-581 83 Link?ping, Sweden??????????? http://users.isy.liu.se/cvl/mfe/ From hocine.cherifi at u-bourgogne.fr Mon Jun 24 04:19:27 2019 From: hocine.cherifi at u-bourgogne.fr (hocine cherifi) Date: Mon, 24 Jun 2019 10:19:27 +0200 Subject: Connectionists: Last CFP MARAMI 2019 Submission Deadline June 26, 2019 Message-ID: *Apologies for any cross posting* *MARAMI 2019* *M**od?les* *& A**nalyse des R?seaux: Approches Math?matiques & Informatiques* *Tenth** Conference on Network Modeling & Analysis * *Dijon, France November 06- 08, 2019* https://iutdijon.u-bourgogne.fr/marami/ *Deadline extended: June 26, 2019* *Speakers * ? Jean-Daniel FEKETE INRIA, France ? Ronaldo MENEZES University of Exeter, UK ? Tsuyoshi MURATA Tokyo Institute of Technology, Japan *Topics include, but are not limited to: * o Community detection, graph partitioning, overlapping communities, local communities o Community assessment and benchmarking o Effective algorithms for sorting nodes in large graphs, finding patterns in graphs o Visualization and exploration of large graphs o Study and simulation of phenomena occurring on networks o Network evolution, link prediction, diffusion models o Social networks, affiliate networks, social web, folksonomies, o Biological networks, peer-to-peer networks, space networks o Recommendation systems, collaborative filtering o Decision support systems (viral marketing, epidemics) o Multi-agent systems and networks o Network Analysis & Mining o Machine learning with graphs *Submission* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Full papers* about original research not simultaneously submitted to another journal or conference. ? *Extended Abstract* about published or unpublished research. Recommended to be between 2-3 pages. They should not exceed 4 pages. Each submission must follow the Springer publication format available on the website of the journals Computational Social Networks Applied Network Science in the Instructions for Authors entry. All contributions should be submitted in *pdf format* via *EasyChair. * *Publication* *All Accepted submissions of unpublished work will be invited for publication in a special issue (fast track procedure) in one of **the journals:* o Computational Social Networks edited by Springer o Applied Network Science edited by Springer *Committees* *GENERAL CHAIRS* Hocine Cherifi LIB, UBFC, Dijon Maria Malek ETIS, EISTI, Cergy *ADVISORY BOARD* Gilles Bisson AMA-LIG Eric Gaussier LIG, Universit? Grenoble Alpes Rushed Kanawati LIPN, Universit? Paris 13 Christine Largeron LHC, Universit? Jean Monnet Camille Roth M?dialab, Sciences Po Paris C?line Rouveirol LIPN, Universit? Paris 13 Lynda Tamine-Lechani IRIT, Universit? Paul Sabatier Toulouse 3 Nathalie Villa-Vialaneix MIA-T, INRA Toulouse *PROGRAM CHAIRS* Eric Leclercq LIB, UBFC, Dijon Marinette Savonnet LIB, UBFC, Dijon *WEB CHAIR* Sylvain Rampacek LIB, UBFC, Dijon *LOCAL COMMITTEE CHAIR* Christophe Cruz LIB, UBFC, Dijon *LOCAL COMMITTEE (TBU)* Wahabou Abdo, LIB, UBFC, Dijon Claire Bourgeois-R?publique LIB, UBFC, Dijon Elisabeth Gavignet LIB, UBFC, Dijon Thierry Grison LIB, UBFC, Dijon *PROGRAM COMMITTEE (TBU)* Antoine Allard Laval University Fred Amblard IRIT - University Toulouse 1 Capitole Laurent Beauguitte CNRS Marie-Pierre B?s LISST Cecile Bothorel Telecom Bretagne Anne Boyer Kiwi Team - LORIA Julien Brailly ENSAT Guillaume Cabanac IRIT - Universit? Paul Sabatier Toulouse 3 R?my Cazabet Universit? de Lyon Chantal Cherifi Lyon 2 University, DISP Laboratory Christophe Crespelle Universit? Claude Bernard Lyon 1 Christophe Cruz LIB Dijon Maximilien Danisch Laboratoire d'Informatique Paris 6 Nicolas Dugu? LIUM Guillaume Favre University Toulouse Jean Jaures Angelo Furno IFSTTAR-ENTPE, Universit? de Lyon Eric Gaussier LIG-UJF Vincent Gauthier Telecom SudParis/Institut Mines Telecom CNRS SAMOVAR Jean-Loup Guillaume L3i - Universit? de la Rochelle Adrien Guille ERIC Lyon 2, EA 3083, Universit? de Lyon Roberto Interdonato CIRAD - UMR TETIS Bertrand Jouve CNRS Rushed Kanawati Universit? Paris 13 Hamamache Kheddouci Universit Claude Bernard Pascale Kuntz Laboratoire d'Informatique de Nantes Atlantique Robin Lamarche-Perrin INP Toulouse Renaud Lambiotte University of Oxford Jean-Charles Lamirel INRIA Project TALARIS - LORIA Christine Largeron Universit? de Lyon Maria Malek Enseignant-chercheur Nicola Mirc TSM toulouse Anthony Perez LIFO - Universit? d'Orl?ans Bruno Pinaud Universit? de Bordeaux, CNRS UMR 5800 LaBRI Nguyen Quang Ton Duc Thang University Fabrice Rossi SAMM - Universit? Paris 1 Camille Roth CNRS Arnaud Sallaberry LIRMM, Universit? Paul Val?ry Montpellier 3 Marinette Savonnet University of Burgundy - Laboratory LE2I Hamida Seba University Lyon1 Henry Soldano Laboratoire d'Informatique de Paris Nord Fabien Tarissan CNRS - ENS Paris-Saclay (ISP) Nathalie Vialaneix INRA, UR 0875 Emmanuel Viennet L2TI, Institut Galil?e, Universit? Paris 13 *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 eliricci at fbk.eu Mon Jun 24 05:22:00 2019 From: eliricci at fbk.eu (Elisa Ricci) Date: Mon, 24 Jun 2019 11:22:00 +0200 Subject: Connectionists: ICCV Workshop on Human Behavior Understanding (HBU): Generating, Forging and Detecting Fake Human Behavioral Data Message-ID: 10th Workshop on Human Behavior Understanding (HBU) In conjunction with International Conference on Computer Vision (ICCV) 2019 27 October 2019, Seoul, Korea Focus Theme: *Generating, Forging and Detecting Fake Human Behavioral Data* https://project.inria.fr/whbu/ ****************************** CALL FOR PAPERS As in many other computer vision tasks, deep learning has brought revolutionary advances in human behaviour understanding from visual data. Deep models are now extremely effective not only in detecting and analyzing human faces, bodies and collective activities but also in generating realistic human-like behavioral data. From full-body deepfakes to AI-based translation dubbing, deep networks can now synthesize images and videos of humans such as they are virtually indistinguishable from real ones. The workshop will focus on recent advances and novel methodologies for generating human behaviour data, with special emphasis on approaches for forging images and videos depicting real-looking human faces and/or full bodies and on algorithms for detecting fake human-like visual data. The HBU workshops, organized since 2010 as satellite to ICPR?10, AMI?11, IROS?12, ACM Multimedia?13, ECCV?14 and UBICOMP?15, ACM Multimedia?16, FG?18, ECCV?18 Conferences, aim to inspect developments in areas where smarter computers that can sense human behavior. These events have a unique aspect of fostering cross-pollination of different disciplines, bringing together researchers of mobile and ubiquitous computing, computer vision, multimedia, robotics, HCI, artificial intelligence, pattern recognition, interaction design, ambient intelligence, and psychology. The diversity of human behavior, the richness of multi-modal data that arises from its analysis, and the multitude of applications that demand rapid progress in this area ensure that the HBU Workshops provide a timely and relevant discussion and dissemination platform. Each edition of the HBU workshop had a different focus theme, dealing with a newly emerging topic or question in the automatic analysis of human behavior. The focus theme of this year is of high interest for computer vision researchers: *Generating, Forging and Detecting Fake Human Behavioral Data*. The automatic generation of visual contents is currently a very hot topic in the community. With this edition of the HBU workshops, we attempt to foster research on how to generate visual data (still images and videos) describing human behavior both from the applicative and methodological points of view. ****************************** TOPICS ICCV?2019 HBU workshop, in addition to covering the main themes of human behavior understanding, deals with generating human behavior data, with special *emphasis on methodologies and approaches for forging images and videos depicting real-looking human faces *and/or full bodies and on algorithms for detecting fake human-like visual data. Contributions based on deep neural architectures are welcome, as well as methods based on other techniques (e.g. parametric models). These contributions could address the following topics: *Human Behavior Analysis Systems* - Action and activity recognition - Affect analysis - Face analysis - Gaze, attention and saliency - Gestures and haptic interaction - Social signal processing - Voice and speech analysis - Theoretical frameworks of behavior analysis - Data collection, annotation, and benchmarking - User studies and human factors *Generating Visual data of Human Behavior* - Methods for face synthesis and modification of facial attributes (e.g. age, expression). - Approaches for generating human bodies and altering their properties (e.g. 3D pose, clothes). - Techniques for forging human-like behavioral data - Methodologies for counteracting adversarial attacks. - Techniques for synthesizing visual data depicting collective human behaviour. - Novel deep generative models for sequence-like data generation. - Approaches to synthesize multi-modal human behavioral data. - Applications (e.g. surveillance, entertainment, autonomous driving, fashion, robotics). Papers must be submitted online through the CMT submission system at: https://easychair.org/conferences/?conf=hbu2019 and will be double-blind peer reviewed by at least two reviewers. Submissions should conform to the ICCV 2019 proceedings style. We expect two kind of submissions: - Full papers of new contributions (8 pages NOT including references) - Short papers describing incremental/preliminary work (2 pages NOT including references) More info at: https://project.inria.fr/whbu/ ****************************** IMPORTANT DATES Regular Paper Submission: *July 1st, 2019* Extended Abstract Submission: *July 15th, 2019* Notification of Acceptance: *July 31st, 2019* Camera-Ready: *August 15th, 2019* ****************************** INVITED SPEAKERS *Cristian Sminchisescu*, Google & Lund University, DE *Hao Li*, University of Southern California, USA ****************************** ORGANIZERS: Xavier Alameda-Pineda, Inria, FR. Xiaoming Liu, Michigan State University, USA. Elisa Ricci, FBK & University of Trento, IT. Albert Ali Salah, Bo?azi?i University, TR & Utrecht University, NL. Nicu Sebe, University of Trento, IT. Sergey Tulyakov, Snap Research, USA. -- -- 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 donatello.conte at univ-tours.fr Mon Jun 24 11:05:40 2019 From: donatello.conte at univ-tours.fr (Donatello Conte) Date: Mon, 24 Jun 2019 17:05:40 +0200 Subject: Connectionists: First CfP on Video Processing for Human Behavioral Analysis (VP-HBA) Track at 35th ACM-SAC 2020 in Brno, Czech Republic Message-ID: <000b01d52a9e$49999920$dccccb60$@univ-tours.fr> --------------------------------------------------------- Apologies for multiples copies --------------------------------------------------------- Call for Papers Video Processing for Human Behavioral Analysis (VP-HBA) Track https://sites.google.com/view/vp-hba-sac-2020 Motivations and topics The ACM Symposium on Applied Computing (SAC) has been a primary gathering forum for applied computer scientists, computer engineers, software engineers, and application developers from around the world. SAC 2020 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP), and will be held in Brno, Czech Republic. The technical track on Video Processing for Human Behavioral Analysis (VP-HBA) will be organized for the first time in SAC 2020. Actions, but also personality behavior recognition is starting to be explored in the computer vision research field. Tools for effectively analyzing these sort of behaviors have a major impact into everyone's life, with applications in health, security, human computer/machine/robot interaction and entertainment. This track intend to focus in all aspects of computer vision and pattern recognition devoted to the automatic analysis of human behavior by applying recent or new video processing techniques. The scope of VP-HBA includes, but is not limited to, the following topics: . Human behavior analysis from visual and multimodal information . Human action recognition . Information fusion for the analysis of human behavior . Crowds analysis in videos . Articulated body posture estimation . Interactions engagement modeling and detection . (Multi-Modal) Learning from Videos . Object Detection and Tracking . Elderly person monitoring systems . Gesture and Gait Analysis . Expression and emotion Recognition . Affective Computing . Applications of behavior analysis methods, e.g., medicine, sports, well-being, security, environment . Multimodal non-verbal signals analysis . Spatio-temporal concept detection and recognition (trajectory analysis, etc.) Submission Guidelines Authors are invited to submit original and unpublished papers of research and applications for this track. The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. This is to facilitate double-blind review. Please, visit the website for more information about submission SAC No-Show Policy Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM digital library. No-show of registered papers and posters will result in excluding them from the ACM digital library. Important Dates Submission of regular papers: September 15, 2019 Notification of acceptance/rejection: November 10, 2019 Camera-ready copies of accepted papers: November 25, 2019 SAC Conference: March 30-April 3, 2020 Donatello Conte Jean-Yves Ramel (General chairs) -------------- next part -------------- An HTML attachment was scrubbed... URL: From yariv.levy at cognitioai.ch Mon Jun 24 09:59:30 2019 From: yariv.levy at cognitioai.ch (Yariv Levy) Date: Mon, 24 Jun 2019 15:59:30 +0200 Subject: Connectionists: [JOB] hands-on team lead in Lausanne, Switzerland - November, 1st Message-ID: TEAM LEADER - CognitioAI Ltd. - http://cognitioAI.ch/ Workplace: Lausanne (Switzerland) - Starting date: November 1st 2019 OUR PROFILE CognitioAI Ltd. is a Data Science Lab, based in Switzerland, specialized in leveraging Advanced Analytics (AA) and Artificial Intelligence (AI) to solve business problems, consult best data usage, and conduct applied cutting-edge research. We combine deep subject matter expertise, versatility, project management capabilities, end-to-end management, and a proven track record. We are looking for new team members, with exceptional soft-skills and outstanding hard skills. Long story short, we like to share lunch-time together, talking about everyday life, sports, travels, politics, etc. and we transform into highly trained geeks when we are in front of our computers extracting leverageable information from Terabytes of structured and unstructured data (per day?!). What are these TB of data all about? As we are still in stealth mode, we prefer to keep it a bit confidential. Trust us... it?s fun! OUR PROPOSITION We will build and maintain end-to-end AA/AI pipelines to solve concrete problems. Our work will affect more than 20 million people worldwide. We will have 2500 colleagues around the world (e.g., Israel, USA, UK, Germany, Canada, Belarus, Romania, Argentina, and others). Our office will be in a central location in Lausanne, where we will start with a group of about 15 people - half Data Engineers (DEs) and half Data Scientists (DSs). Conditions are competitive, and you will start working on November 1st 2019. We believe in leading by example: you will be the hands-on technical leader for a team of around seven highly skilled DEs and DSs. YOUR PROFILE You bring in an outstanding academic background, ideally with a PhD in Computer Science focused on AI, ML, or AA. You have proven experience in Industry with: - Conventional ML (e.g., PCA, Random Forest, XGBoost, Bayesian Network, SVM, Linear Classifiers, etc.) - Recent ML methods, particularly deep learning (e.g., CNNs, GRUs, LSTMs, GANs, Autoencoders, etc.) - RL and Markov Models, Time series, NLP, etc. - Coding in Python and/or R, SQL, maybe even Scala - Strong experience with Big Data technologies (e.g., Spark, Kafka, Hadoop, etc.) Fluency in English is required (written and spoken). RESTRICTIONS A valid Swiss work permit or Swiss or EU-25/EFTA citizenship is highly preferable for this position. (We are already sponsoring some Swiss working permits this year, sorry!) INTRIGUED? WANT TO APPLY? Send us a short mail describing who you are, attach your CV and a couple of links to some fun projects that showcase your knowledge and experience. Our email is gameON at cognitioAI.ch. Please use the subject ?I?m an awesome tech lead looking for an awesome job :-)? -- *Yariv Z. Levy, PhD* http://cognitioAI.ch -------------- next part -------------- An HTML attachment was scrubbed... URL: From ccht at iit.it Tue Jun 25 03:14:23 2019 From: ccht at iit.it (ccht) Date: Tue, 25 Jun 2019 07:14:23 +0000 Subject: Connectionists: =?cp1258?q?PostDoc_on_digitisation_of_Cultural_He?= =?cp1258?q?ritage_=28CCHT=40Ca=CCFoscari=29_-_=5B_Postdoc_=5D?= Message-ID: <0313aa85246340059704769b3b2690f9@iit.it> PostDoc on digitisation of Cultural Heritage (CCHT at Ca?Foscari) - [ Postdoc ] Workplace: Venezia, CCHT Added on: 04/10/2018 - Expires on: 30/06/2019 The Center for Cultural Heritage Technology (CCHT at Ca?Foscari) of Istituto Italiano di Tecnologia (Venice, Italy) aims at researching and promoting new technologies for the analysis and digital recording of Cultural Heritage, both tangible and intangible, expanding and improving current approaches. More broadly, it engages in the field of Digital Humanities by applying digital analysis to the textual and iconographic content of material culture. CCHT at Ca?Foscari is currently seeking to appoint a Postdoc on digitisation of Cultural Heritage. The selected candidate will join an interdisciplinary team of researchers, contributing to the development of next generation 3D digitisation applied to the Cultural Heritage (CH) Required qualifications: * A Ph.D. in computer science or related field; * Proficiency with programming languages (e.g. Python, C/C++, MATLAB); * Experience in the 3D computer vision field (for example, but not limited to, 3D reconstruction from RGBD data, photometric stereo, structure from motion, structured light systems, etc.) * Publications in major Computer Vision, Computer Graphics and other related conferences and journals * Good communication skills and ability to cooperate; * Proficient in English language (written and oral). Desirable skills: * Knowledge of OpenCV, PCL and Open3D libraries; * Experience in one or more of the following fields: * 2D-3D-4D digitisation (scanning) and analysis of both small objects, monuments and sites * shape analysis and interpretation * photogrammetry * post processing techniques * semantic-aware reconstruction The successful candidate will be offered a salary commensurate to experience and skills. The call will remain open until the position is filled but a first deadline for evaluation of candidates will be June 30, 2019. Please send your application to ccht at iit.it quoting ?CCHT - CH digitisation Postdoc ? BC 75117? in the e-mail subject. Your application shall contain: 1. a detailed CV 2. a one-page research statement 3. name and contact information of two referees. Fondazione Istituto Italiano di Tecnologia (http://www.iit.it) is a non-profit institution created with the objective of promoting technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology. Istituto Italiano di Tecnologia is an equal opportunity employer that actively seeks diversity in the workforce. Please note that the data that you provide will be used exclusively for the purpose of professional profiles? evaluation and selection, and in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo[at]iit.it) Contacts ccht at iit.it -------------- next part -------------- An HTML attachment was scrubbed... URL: From rsun at rpi.edu Tue Jun 25 15:00:57 2019 From: rsun at rpi.edu (Professor Ron Sun) Date: Tue, 25 Jun 2019 15:00:57 -0400 Subject: Connectionists: WCCI2020 Glasgow, Scotland - Call for papers Message-ID: IEEE World Congress on Computational Intelligence 19-24 July 2020, Scottish Event Campus , Glasgow. wcci2020.org On behalf of the WCCI Organizing Committee , it is our great pleasure to invite you to the IEEE World Congress on Computational Intelligence. The 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020) is the world's largest technical event in the field of computational intelligence. IEEE WCCI 2020 will host three flagship conferences under one roof : IJCNN - International Joint Conference on Neural Networks (cooperation between IEEE-CIS & INNS) FUZZ-IEEE - IEEE International Conference on Fuzzy Systems IEEE-CEC - IEEE Congress on Evolutionary Computation This encourages cross-fertilisation of ideas among the three big areas and provides a forum for intellectuals from all over the world to discuss and present their research findings on computational intelligence. Important deadlines: 15Nov2019 Special Session & Workshop Proposals 15Dec2019 Competition & Tutorial Proposals 15Jan2020 Paper submission 15Mar2020 Paper Acceptance Notification 15Apr2020 Final paper submission & Early registration 19-24Jul2020 Conference Dates Calls: (click to see pdf description) Call for Papers : Papers for IEEE WCCI 2020 should be submitted electronically using the Congress website www.wcci2020.org and will be refereed by experts in the fields and ranked based on the criteria of originality, significance, quality and clarity. Call for Special Sessions: IEEE WCCI 2020 solicits proposals for special sessions within the technical scope of the three conferences. Special sessions are to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Cross-fertilization of the three technical disciplines and newly emerging research are strongly encouraged. Inquiries regarding special sessions and proposals should be addressed to Special Sessions Chairs : Richard Duro, University of A Coru?a. Spain ?subject=WCCI2020%20Glasgow,%20UK%20-%20FUZZ%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Humberto Bustince, Public University of Navarra, Pamplona, Spain ?subject=WCCI2020%20Glasgow,%20UK%20-%20CEC%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> David Corne, Heriot-Watt University, Scotland, UK ?subject=WCCI2020%20Glasgow,%20UK%20-%20IJCNN%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Xiao-Jun Zeng, University of Manchester, UK ?subject=WCCI2020%20Glasgow,%20UK%20-%20Cross-disciplinary%20and%20Applications%20Special%20Sessions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.>Call for Tutorials: IEEE WCCI 2020 will feature pre-Congress tutorials, covering fundamental and advanced topics in computational intelligence. A tutorial proposal should include title, outline, expected enrollment, and presenter/organizer biography. Inquiries regarding tutorials should be addressed to Tutorials Chairs : Barbara Hammer, Bielefeld University, Germany ?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Plamen Angelov, Lancaster University, UK ?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Ponnuthurai Suganthan, Nanyang Technological University, Singapore ?subject=WCCI2020%20Glasgow,%20UK%20-%20Tutorials%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Call for Competitions: IEEE WCCI 2020 will host competitions to stimulate research in computational intelligence. A competition proposal should include descriptions of the problem(s) addressed, evaluation procedures, and a biography of the organizers. Inquiries regarding competitions should be addressed to the Competitions Chairs : Huanhuan Chen, University of Science and Technology of China, China ?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Jialin Liu, Southern University of Science and Technology, Shenzhen, China ?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Bill Buchanan, Edinburgh Napier University, UK ?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Christos Panayiotou, University of Cyprus, Cyprus ?subject=WCCI2020%20Glasgow,%20UK%20-%20Competitions%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Call for Workshops: The 2020 IEEE WCCI invites proposals for workshops to be held in conjunction with the main event. The overall purpose of a workshop is to provide participants with the opportunity to present and discuss novel research ideas on active and emerging topics of Computational Intelligence. Topics of the proposed workshops should therefore be aligned with those set forth in the call for papers for the main event. Prospective workshop organizers are invited to submit their proposals to the Workshops Chairs below: Ali Minai, University of Cincinnati, USA ?subject=WCCI2020%20Glasgow,%20UK%20-%20Workshops%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Lipo Wang, National Technological University of Singapore ?subject=WCCI2020%20Glasgow,%20UK%20-%20Workshops%20Inquiry&body=Add%20your%20[questions,%20comments],%20then%20send.> Venue: IEEE WCCI 2020 will be held in Glasgow, Scotland, UK - one of Europe's most dynamic cultural capitals and the "World's Friendliest City" [Rough Guide 2015]. Steeped in culture, rich in history and alive with an excitement you can sense as you walk through its elegant Victorian streets, squares, parks and gardens. The Conference will be held at the prestigious Scottish Event Campus (SEC) , which was a key venue for the 2014 Glasgow Commonwealth Games. IEEE WCCI 2020 General Co-Chairs Amir Hussain ?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Founding Head of the Cognitive Big Data and Cybersecurity (CogBiD) Research Lab, Edinburgh Napier University, Scotland, Marios Polycarpou ?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Director of the KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus Xin Yao ?subject=WCCI2020%20Glasgow,%20UK%20-%20General%20Inquiry&body=If%20your%20[questions,%20comments]%20are%20related%20to%20the%20Calls%20above,%20or%20to%20the%20responsibilities%20of%20Organizing%20Committee%20as%20listed%20at%20https://www.ijcnn.org/organizing-committee%20,%20please%20contact%20the%20appropriate%20Chair%20directly.%20%20I%20would%20be%20happy%20to%20answer%20%20your%20other%20[questions,%20comments].%20%20Please%20add%20them%20below,%20then%20send.> Chair, Dept of Computer Science and Engineering, Southern University of Science & Technology, Shenzhen, Guangdong, China -------------- next part -------------- An HTML attachment was scrubbed... URL: From S.M.Bohte at cwi.nl Tue Jun 25 07:17:47 2019 From: S.M.Bohte at cwi.nl (Sander Bohte) Date: Tue, 25 Jun 2019 13:17:47 +0200 Subject: Connectionists: workshop Event-based Neurocognitive Control Aug 26-28 Amsterdam Message-ID: Workshop ?EVENT-BASED ASYNCHRONOUS NEURO-COGNITIVE CONTROL? *Centrum Wiskunde & Informatica, Amsterdam, The Netherlands, **August 26 ? 28, 2019 (*website ) This workshop aims to bring together experts in computational neuroscience and machine learning to foster collaboration and start working on integrating the various components into coherent end-to-end cognitive models. Specifically, we aim to determine the `missing components? that are needed to implement fast and effective sensori-cognitive-motor models. At a high level, the main topics in the workshop include *End-to-end time-continuous learning*, m*ulti-level motion representation, planning and control *and e*vent-based asynchronous neural computation*. The workshop will be held over a 3-day period at CWI, the Dutch National Centre for Mathematics and Computer Science. Invited speakers will bring broad-ranging expertise from neuroscience and machine learning, with a special focus on efficient platforms. The workshop will also have plenty of time for formal and informal discussions. A separate hands-on ?Lab? event will take place after the main meeting on Wednesday afternoon, offering the opportunity to learn more about current event-based software platforms. *Confirmed invited speakers* Thomas Nowotny (Univ Sussex, UK) Wulfram Gerstner (EPFL, CH) Shih-Chii Liu (INI Zurich, CH) Eleni Vasilaki (Univ Sheffield, UK) Friedemann Zenke (FMI Basel, CH) Terry Stewart (Univ Waterloo, CA) Gang Pan (Zhejiang University,CN) Chiara Bartolozzi (IIT Genova, IT) Raoul-Martin Memmesheimer (Univ Bonn, DE) Mihai Petrovici (Univ Heidelberg, DE) Jamie Knight (Univ Sussex, UK) *Participation and deadlines* Participation in the workshop is free of charge and includes the lunches for the three days. However, the workshop is limited to a restricted number of people given the capacity of the venue and the aim of the event. Prospective attendees should express their interest in participating by submitting the form downloadable from the link below, and their willingness to contribute a poster. For the poster, people are also invited to submit a short/extended abstract (max 2 pages), possibly including figures. The submissions will be selected on the basis of the quality and of how well they fit the workshop?s aims. Both senior and young researchers, including Ph.D. students, are encouraged to submit to ensure a full representation of the community. *Deadline: 11.07.2019* Please use this form and submit it and the optional abstract *(subject: ?EANCC submission: name, last name?)* to: *eancc2019 at gmail.com * *Organising Committee* - Sander Bohte ? CWI / Univ. of Amsterdam / RUG Groningen, NL - Aditya Gilra ? IST Austria, AT - Qinghai Guo ? Huawei Research, CN - J. Camilo Vasquez Tieck ? FZI Karlsruhe, GE -------------- next part -------------- An HTML attachment was scrubbed... URL: From danish at mmmi.sdu.dk Tue Jun 25 10:32:46 2019 From: danish at mmmi.sdu.dk (Danish Shaikh) Date: Tue, 25 Jun 2019 14:32:46 +0000 Subject: Connectionists: [meetings] Call for contributions: Workshop on "Role of movement-based active perception in navigation and its neurorobotic correlates" at SWARM 2019, Okinawa, Japan Message-ID: Call for contributions ----------------------------- Workshop on "Role of movement-based active perception in navigation and its neurorobotic correlates" at SWARM 2019: The 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics, Okinawa, Japan Date: November 22, 2019 Location: Okinawa Institute of Science and Technology, Onna-son, Okinawa, Japan Workshop url: https://arilab.unit.oist.jp/swarm2019/#ws Workshop overview ---------------------------- Active perception in animals involves executing behaviours that move sensory appendages (e.g. eyes, pinnae, antennae or whiskers) in space to increase flow of sensory stimuli as well as the sampled information content. This increased sampling can significantly improve the animal's understanding of its environment. In this context, perception (interpretation of sensory stimuli) and action (behaviours that move the sensory appendages) are tightly coupled. Several biological studies have identified the important role of movement-based active sensing for increasing sensory volumes and many robotic studies have investigated the principles underlying active perception in adaptive behaviour. Insects and rodents are very promising model organisms to study active perception, as they possess highly mobile sensory appendages, a wide variety of sensilla and a well-studied nervous system. The neurorobotic approach, i.e. developing robotic models of biological neural mechanisms, is well-suited for hypothesis-testing as it allows one to isolate and embed the neural mechanism of interest within an artificial body that can sense and act in the real world. This relieves scientists from the task of modelling the statistics of sensory stimuli, as the real world provides these statistics for free. This full day workshop brings together leading experts, from both biology and neurorobotics perspectives, to shed light on the principles underlying active antennal perception as well as its neural correlates and discuss the neurorobotic approach to modelling active perception. Learning outcomes: - Understanding the basic concepts and principles of active perception - Knowledge of neural correlates of active perception - Knowledge of embodied AI and the neurorobotic approach - Applying these concepts and knowledge in developing agents/robots that utilise actively moving antennae to execute navigation behaviours such as taxis The full-day workshop consists of: - Theory (lectures): Invited talks by experts from biology and neurorobotics, - Practice tutorial: Hypothesis-testing via neurorobots in simulated and/or real-world navigation tasks, - Discussion and future directions Submission guidelines ------------------------------ Contributions in the form of 1 page conf. style abstract on active perception. This includes both studies in biological organisms as well as in robots. All abstracts must be formatted in the SWARM conference style, templates for which can be found here - https://arilab.unit.oist.jp/swarm2019/#submission Selected contributions will be presented in a form of a poster during the workshop. We particularly encourage young scientists to contribute their research results (reporting early-stage research where results are not yet available is welcome as well). We also welcome live robot demonstrations on active perception models. Submissions have to be sent to danish[at]mmmi.sdu.dk (please replace [at] with @) in PDF format only. One author per accepted workshop contribution (poster and/or demo) is required to register for and attend the workshop to present the accepted abstract. Outstanding contributions might be selected for oral presentations. Relevant dates -------------------- Deadline for abstract submission: August 21, 2019 Anywhere on Earth time - https://time.is/Anywhere_on_Earth Notification of acceptance: September 21, 2019 Workshop: November 22, 2019 Tentative list of speakers ---------------------------------- - Einat Couzin-Fuchs (University of Konstanz, Germany) - Venkatesh N. Murthy (Harvard University, USA) - Danish Shaikh (University of Southern Denmark, Denmark) - Alejandro Peque?o Zurro (University of Southern Denmark, Denmark) Workshop organizers ----------------------------- Danish Shaikh Alejandro Peque?o Zurro Contact ----------- Danish Shaikh (danish[at]mmmi.sdu.dk) Assistant professor Embodied Systems for Robotics and Learning Maersk Mc-Kinney Moller Institute University of Southern Denmark Campusvej 55, 5230 Odense M Denmark Tel. (office): +45 6550 9526 www.sdu.dk -------------- next part -------------- An HTML attachment was scrubbed... URL: From pubconference at gmail.com Tue Jun 25 23:04:36 2019 From: pubconference at gmail.com (Pub Conference) Date: Tue, 25 Jun 2019 23:04:36 -0400 Subject: Connectionists: [Invitation] ICICIP2019: Tenth International Conference on Intelligent Control and Information Processing, Marrakesh, Morocco Message-ID: *Call for Pap**er**s* https://conference.cs.cityu.edu.hk/icicip/ The 10th International Conference on Intelligent Control and Information Processing (ICICIP2019) The Tenth International Conference on Intelligent Control and Information Processing (ICICIP 2019) will be held in Marrakesh, Morocco during December 14-19, 2019, following the successes of previous events. Located in northern Africa, Marrakesh is one of four ancient capitals of the kingdom and listed by UNESCO as a cultural heritage. ICICIP 2019 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The symposium will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics. Authors are invited to submit full-length papers by the submission deadline through the online submission system. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The Proceedings has been contracted to be included in IEEE Xplore Digital Library and submitted for EI indexing. *Important Dates* Paper submission deadline: July 1, 2019 Notification of acceptance: September 1, 2019 Camera-ready copy and author registration: October 1, 2019 Conference: December 14-19, 2019 -------------- next part -------------- An HTML attachment was scrubbed... URL: From D.G.HEINKE at bham.ac.uk Tue Jun 25 16:50:22 2019 From: D.G.HEINKE at bham.ac.uk (Dietmar Heinke) Date: Tue, 25 Jun 2019 20:50:22 +0000 Subject: Connectionists: 3 year postdoc position available Message-ID: <06D3DF7C411486418BEF3DCBF554BFAF01F013FC52@EX13.adf.bham.ac.uk> The Computational Psychology Lab (https://comp-psych.bham.ac.uk/ ) seeks to recruit a full-time postdoctoral-level Research Fellow for a research project titled "Integrating vision and action through selection history". It is funded by two bodies, UK Research and Innovation (ESRC) and US-funding agency NSF (National Science Foundation). The US collaborator is Professor Joo-Hyun Song, Brown University https://www.brown.edu/academics/cognitive-linguistic-psychological-sciences/people/faculty/joo-hyun-song The project aims at advancing our understanding of how humans execute visually-guided reaching in multi-object environments. It takes a highly interdisciplinary approach by combining computational modelling and empirical work. The research will be based on earlier work published here: Strauss, S., Woodgate, P.J.W., Sami, S. A., & Heinke, D. (2015) Choice reaching with a LEGO arm robot (CoRLEGO): The motor system guides visual attention to movement-relevant information. Neural Networks, 72, 3-12. http://dx.doi.org/10.1016/j.neunet.2015.10.005 Informal enquiries should be directed to Dietmar Heinke at D.G.HEINKE at bham.ac.uk Closing date: 24 July 2019 An on-line application can be submitted at the bottom of this page: https://bham.taleo.net/careersection/external/jobdetail.ftl?job=19000076&tz=GMT%2B01%3A00&tzname=Europe%2FLondon Main Duties/Responsibilities * Undertake work within the specified research grant (ES/T002409/1): * Extend CoRLEGO to model data collected by Professor Joo-Hyun Song * Compare models using Bayesian methods * Conduct behavioural experiments under guidance of Professor Joo-Hyun Song * Disseminate research findings for publication, research seminars, etc. * Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline * Contribute to knowledge transfer in computational modelling and related areas that is of benefit to the College and the University, often under supervision of the Principle investigator * Contribute to public engagement activities * Contribute to generating funding and writing bids Person Specification Skills and Knowledge: * Programming skills (preferably in MatLab), mathematical skills Experience in at least three of the following fields: * Robotics, computer vision, computational modelling, behavioural science (human vision or/and movement control), Bayesian statistics, Markov Chain Monte Carlo (MCMC) methods, Dynamic neural fields Generic skills: * Ability to communicate complex information clearly * Ability to work in an interdisciplinary project * Understanding of and ability to contribute to broader management/administration processes Qualifications * PhD preferably in electrical engineering, computer science, physics or mathematics -------------- next part -------------- An HTML attachment was scrubbed... URL: From george at cs.ucy.ac.cy Wed Jun 26 03:49:41 2019 From: george at cs.ucy.ac.cy (George Angelos Papadopoulos) Date: Wed, 26 Jun 2019 10:49:41 +0300 Subject: Connectionists: 46th International Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020): Third Call for Papers In-Reply-To: References: Message-ID: *** Third 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). The submision link is: https://easychair.org/my/conference?conf=sofsem2020 . 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 lpulina at uniss.it Wed Jun 26 04:27:19 2019 From: lpulina at uniss.it (Luca Pulina) Date: Wed, 26 Jun 2019 10:27:19 +0200 Subject: Connectionists: [Call for Papers] AIIA19 - Deadline for discussion papers approaching! Message-ID: [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 vvsharma at mit.edu Wed Jun 26 05:34:09 2019 From: vvsharma at mit.edu (Vivek Sharma) Date: Wed, 26 Jun 2019 09:34:09 +0000 Subject: Connectionists: =?windows-1252?q?Call_for_papers=3A_First_Large_S?= =?windows-1252?q?cale_Holistic_Video_Understanding_Workshop_=40_ICCV=9219?= In-Reply-To: References: , , , Message-ID: First Large Scale Holistic Video Understanding Workshop @ICCV?19 https://holistic-video-understanding.github.io/workshops/iccv2019.html Date: October 27, 2019 PAPER SUBMISSION IS NOW OPEN! PAPER and ABSTRACT SUBMISSION DEADLINE: August 1, 2019 ACCEPTANCE NOTIFICATION: August 15, 2019 Please submit papers via CMT: https://cmt3.research.microsoft.com/HVU2019/ WORKSHOP REGISTRATION: In conjunction with ICCV?19 *Best Paper and Best Poster Awards will be granted. OVERVIEW: In the last years, we have seen tremendous progress in the capabilities of computer systems to classify video clips taken from the Internet or to analyze human actions in videos. There are lots of works in video recognition field focusing on specific video understanding tasks, such as action recognition, scene understanding, etc. There have been great achievements in such tasks, however, there has not been enough attention toward the holistic video understanding task as a problem to be tackled. Current systems are expert in some specific fields of the general video understanding problem. However, for real-world applications, such as, analyzing multiple concepts of a video for video search engines and media monitoring systems or providing an appropriate definition of the surrounding environment of a humanoid robot, a combination of current state-of-the-art methods should be used. Therefore, in this workshop, we intend to introduce holistic video understanding as a new challenge for the video understanding efforts. This challenge focuses on the recognition of scenes, objects, actions, attributes, and events in the real world user-generated videos. To be able to address such tasks, we also introduce our new dataset named Holistic Video Understanding (HVU dataset) that is organized hierarchically in a semantic taxonomy of holistic video understanding. Almost all of the real-world conditioned video datasets are targeting human action or sport recognition. So our new dataset can help the vision community and bring more attention to bring more interesting solutions for holistic video understanding. The workshop is tailored to bringing together ideas around multi-label and multi-task recognition of different semantic concepts in the real world videos. And the research efforts can be tried on our new dataset. HVU Dataset: https://github.com/holistic-video-understanding/Mini-HVU Topics: * Large scale video understanding * Multi-Modal learning from videos * Multi-concept recognition from videos * Multi-task deep neural networks for videos * Learning holistic representation from videos * Weakly supervised learning from web videos * Object, scene and event recognition from videos * Unsupervised video visual representation learning * Unsupervised and self-?supervised learning with videos INVITED SPEAKERS: * Rahul Sukthankar (Google AI, CMU) * Kristen Grauman (U. Texas at Austin, Facebook AI) - TBC * Carl Vondrick (Columbia University) * Juan Carlos Niebles (Stanford University) -TBC * Manohar Paluri (Facebook AI) SPONSORERS: * Facebook AI Research * Sensifai For questions about the HVU workshop, please contact sharma.vivek at live.in. Also, follow HVU on Twitter for the latest news: @LSHVU Organizers: Vivek Sharma, KIT, MIT Mohsen Fayyaz, University of Bonn Ali Diba, KU Leuven Manohar Paluri, Facebook AI Juergen Gall, University of Bonn Rainer Stiefelhagen, KIT Luc Van Gool, ETH Zurich & KU Leuven best, Vivek -- M.Sc. Vivek Sharma, Karlsruhe Institute of Technology (KIT), Germany Massachusetts Institute of Technology (MIT), USA Web: http://media.mit.edu/~vvsharma -------------- next part -------------- An HTML attachment was scrubbed... URL: From smart at neuralcorrelate.com Wed Jun 26 17:54:14 2019 From: smart at neuralcorrelate.com (Susana Martinez-Conde) Date: Wed, 26 Jun 2019 17:54:14 -0400 Subject: Connectionists: FINAL call for illusion submissions: the 15th Best Illusion of the Year Contest In-Reply-To: <005401d52c69$7a69a5f0$6f3cf1d0$@neuralcorrelate.com> References: <000901d52c69$0f168520$2d438f60$@neuralcorrelate.com> <005401d52c69$7a69a5f0$6f3cf1d0$@neuralcorrelate.com> Message-ID: <008101d52c69$b50ec550$1f2c4ff0$@neuralcorrelate.com> ****FINAL 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 or mp4 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 sepand.haghighi at yahoo.com Wed Jun 26 18:50:00 2019 From: sepand.haghighi at yahoo.com (Sepand Haghighi) Date: Wed, 26 Jun 2019 22:50:00 +0000 (UTC) Subject: Connectionists: PyCM 2.3 released: Machine learning library for confusion matrix statistical analysis References: <1096080127.5947.1561589400229.ref@mail.yahoo.com> Message-ID: <1096080127.5947.1561589400229@mail.yahoo.com> https://github.com/sepandhaghighi/pycm http://www.pycm.ir Changelog : - Adjusted F-score (AGF) added?#209 - Overlap coefficient (OC) added?#212 - Otsuka-Ochiai coefficient (OOC) added?#213 - save_stat and save_vector parameters added to save_obj method?#210 - Document modified?#221 - README.md?modified - Parameters recommendation for imbalance dataset modified - Minor bug in Compare class fixed - pycm_help function modified - Benchmarks color modified?#221 Best RegardsSepand Haghighi -------------- next part -------------- An HTML attachment was scrubbed... URL: From iswc.conf at gmail.com Thu Jun 27 06:01:48 2019 From: iswc.conf at gmail.com (International Semantic Web Conference) Date: Thu, 27 Jun 2019 12:01:48 +0200 Subject: Connectionists: [CfP] ISWC 2019 - **One day left** to submit your work to Industry, Posters & Demos, Outrageous Ideas tracks, Reproducibility + more ISWC info 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 participation in the ISWC Reproducibility Initiative 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. * The ISWC Reproducibility Initiative is running for the first time and will evaluate submissions from the accepted papers of the ISWC **Research Track**. * 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 participation in the ISWC Reproducibility Initiative ******************************************* Many papers submitted to ISWC provide a very strong evaluation. Other researchers willing to build on top of these results often have a hard time to continue the work because the results in the paper are difficult to reproduce. Hence, as an author of a research track paper, we would like to invite you to submit your contribution to the Reproducibility Initiative. The ISWC Reproducibility Initiative has the following goals: - To enable easy sharing of code and experimentation set-ups (take a paper and reuse it). - To make more code and data available. - To highlight the impact and increase the credibility of the Semantic Web research. - To facilitate the dissemination of research results. - We would like to build a culture where sharing results, code, and scripts is the norm rather than an exception. The challenge is to do this efficiently, which means building technical expertise on how to do better research via creating repeatable and shareable methods and results. Considering reproducibility as a goal, the assessment of papers will consider a spectrum varying from: - Basic availability of source code and data - Fully reproducible results given that the data, source code, and documentation are made available. The Reproducibility Initiative is open to the accepted papers of the ISWC Research Track that have some significant experimental results that are prone to be reproducible. For the reproducibility assessment, a member of the Programme Committee will interact with the authors to check the availability of the data, source code, documentation, configuration requirements and reproduce the most important results of the paper. Further info: http://repro.semanticweb.org/ == Important Dates == Submissions due July 9, 2019 == Program Chairs == Contact: iswc2019-reproducibility at inria.fr Alejandra Gonzalez-Beltran, Science and Technology Facilities Council, United Kingdom Michael Cochez, Fraunhofer FIT, Germany 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 a.passarella at iit.cnr.it Thu Jun 27 10:00:01 2019 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Thu, 27 Jun 2019 16:00:01 +0200 Subject: Connectionists: PhD/Post-doc positions (OSN, distributed AI, Internet of People) available at IIT-CNR, Pisa, Italy Message-ID: <5d14cbe1.lA0pbeVBbgJH/+Zn%a.passarella@iit.cnr.it> Post-doc/PhD positions are open @ IIT-CNR, Pisa, Italy, on the following topics #1: Analysis of large-scale Online Social Networks #2: Distributed AI at the edge of the Internet #3: Internet of People ** Hosting University for PhD positions: IIT-CNR is part of the PhD program in Data Science (https://datasciencephd.eu/) hosted by the Scuola Normale Superiore (https://www.sns.it/en) Selected applicants shall apply to the official call of the PhD https://www.sns.it/en/admissions/phd/how-to-apply-for-the-phd-courses ** Application deadline: continuous evaluation, up until 28 July 2019 Details available here http://cnd.iit.cnr.it/andrea/2019_ui_positions.txt Best regards, Andrea -- Andrea Passarella -- Institute for Informatics and Telematics (IIT) National Research Council (CNR) Via G. Moruzzi, 1 voice: +39 050 315 3269 56124 Pisa, Italy fax: +39 050 315 2593 @/sip: a.passarella at iit.cnr.it mobile: +39 346 0082 540 ======================================================================== Founding Associate EiC Elsevier Journal on Online Social Networks and Media http://www.journals.elsevier.com/online-social-networks-and-media/ From jkrichma at uci.edu Fri Jun 28 06:18:09 2019 From: jkrichma at uci.edu (Jeff Krichmar) Date: Fri, 28 Jun 2019 18:18:09 +0800 Subject: Connectionists: Two related articles on Efficient Coding in the Brain Message-ID: Dear Connectionists, I don?t usually like to post papers to these lists. But, I thought it was more than just a coincidence that two papers from our group on how the brain efficiently represents information came out today. Hope you enjoy. Feedback is most welcome. "Neural correlates of sparse coding and dimensionality reduction? M Beyeler, EL Rounds, KD Carlson, N Dutt, and JL Krichmar PLoS Computational Biology https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006908 "Making BREAD: Biomimetic Strategies for Artificial Intelligence Now and in the Future? JL Krichmar, W Severa, MS Khan, JL Olds Frontiers in Neuroscience - Neuromorphic Engineering Section https://www.frontiersin.org/articles/10.3389/fnins.2019.00666/full Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From hocine.cherifi at u-bourgogne.fr Fri Jun 28 05:03:04 2019 From: hocine.cherifi at u-bourgogne.fr (hocine cherifi) Date: Fri, 28 Jun 2019 11:03:04 +0200 Subject: Connectionists: CFP COMPLEX NETWORKS 2019 LISBON DECEMBER 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 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 *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 *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 ludovico.montalcini at gmail.com Thu Jun 27 10:54:14 2019 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Thu, 27 Jun 2019 15:54:14 +0100 Subject: Connectionists: LOD 2019: Submit Your Paper/Abstract/Poster and Meet prominent speakers in the fields of Machine Learning, Data Science and Artificial Intelligence in Tuscany! Deadline: June 30 Message-ID: Register today and take advantage of the special rates available for individuals attending the 5th International Conference on machine Learning, Optimization & Data science LOD - An Interdisciplinary Conference: Deep Learning, Optimization and Big Data without Borders, this September 10-13 at the Certosa di Pontignano. 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, Artificial Intelligence 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/Abstract/Poster by June 30 https://easychair.org/conferences/?conf=lod2019 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. https://lod2019.icas.xyz/industrial-session/ - Deep Neuroevolution Workshop https://lod2019.icas.xyz/deep-neuroevolution-workshop/ - Multi-Task Learning - Reinforcement Learning - Deep Learning - Generative Adversarial Networks - 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 Modeling 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 dwang at cse.ohio-state.edu Fri Jun 28 02:51:42 2019 From: dwang at cse.ohio-state.edu (DeLiang Wang) Date: Fri, 28 Jun 2019 02:51:42 -0400 Subject: Connectionists: NEURAL NETWORKS, July 2019 Message-ID: <0241c248-c8e2-05af-b9f7-3a7652a64d06@cse.ohio-state.edu> Neural Networks - Volume 115, July 2019 http://www.journals.elsevier.com/neural-networks Recent advances in physical reservoir computing: A review Gouhei Tanaka, Toshiyuki Yamane, Jean Benoit Heroux, Ryosho Nakane, ... Akira Hirose Multilayer one-class extreme learning machine Haozhen Dai, Jiuwen Cao, Tianlei Wang, Muqing Deng, Zhixin Yang Gradient based hyperparameter optimization in Echo State Networks Luca Anthony Thiede, Ulrich Parlitz Learning to learn with active adaptive perception D.M. Bossens, N.C. Townsend, A.J. Sobey Short-term cognitive networks, flexible reasoning and nonsynaptic learning Gonzalo Napoles, Frank Vanhoenshoven, Koen Vanhoof Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application Bingjie Zhang, Yusong Liu, Jinde Cao, Shujun Wu, Jian Wang Flexible unsupervised feature extraction for image classification Yang Liu, Feiping Nie, Quanxue Gao, Xinbo Gao, ... Ling Shao Equivalence between dropout and data augmentation: A mathematical check Dazhi Zhao, Guozhu Yu, Peng Xu, Maokang Luo Asynchronous event-based sampling data for impulsive protocol on consensus of non-linear multi-agent systems Yiyan Han, Chuandong Li, Zhigang Zeng Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection Bum-Chae Kim, Jee Seok Yoon, Jun-Sik Choi, Heung-Il Suk From tommasi.t at gmail.com Sat Jun 29 12:28:06 2019 From: tommasi.t at gmail.com (Tatiana Tommasi) Date: Sat, 29 Jun 2019 18:28:06 +0200 Subject: Connectionists: ICCV Workshop on Transferring and Adapting Source Knowledge in Computer Vision Message-ID: 6th workshop on Transferring and Adapting Source Knowledge in Computer Vision and 3rd VisDA Challenge In conjunction with International Conference on Computer Vision (ICCV) 2019 2 Novembre 2019, Seoul, Korea https://sites.google.com/view/task-cv2019/home ****************************** CALL FOR PAPERS This is the 6th annual workshop that brings together computer vision researchers interested in domain adaptation and knowledge transfer techniques. A key ingredient of the recent successes in computer vision has been the availability of visual data with annotations, both for training and testing, and well-established protocols for evaluating the results. However, this traditional supervised learning framework is limited when it comes to deployment on new tasks and/or operating in new domains. In order to scale to such situations, we must find mechanisms to reuse the available annotations or the models learned from them. ****************************** TOPICS TASK-CV aims to bring together research in transfer learning (TL), domain generalization (DG) and domain adaptation (DG) for computer vision and invites the submission of research contributions on the following topics: - TL/DA/DG learning methods for challenging paradigms like unsupervised, self-supervised, incremental, and online learning; - TL/DA/DG focusing on specific visual features, models or learning algorithms; - TL/DA/DG applied for procedural learning (e.g. state-action pairs, reinforcement learning); - TL/DA/DG in the era of convolutional neural networks (CNNs), adaptation effects of fine-tuning, regularization techniques, transfer of architectures and weights, etc; - TL/DA/DG focusing on specific computer vision tasks (e.g., image classification, object detection, semantic segmentation, recognition, retrieval, tracking, etc.) and applications (biomedical, robotics, multimedia, autonomous driving, etc.); - Comparative studies of different TL/DA/DG methods; - Working frameworks with appropriate datasets and evaluation protocols to assess TL/DA/DG methods; - Transferring part representations between categories; - Transferring tasks to new domains; - Solving domain shift due to sensor differences (e.g., low-vs-high resolution, power spectrum sensitivity) and compression schemes; - Extensions of few- and zero-shot learning approaches across domains. This is not a closed list; thus, we welcome other interesting and relevant research for TASK-CV. ****************************** IMPORTANT DATES Paper Submission: July 10th, 2019 (deadline extended!) Notification of Acceptance: July 22nd, 2019 Camera-Ready: August 10th, 2019 As tradition we will have a best paper award supported by our sponsors ****************************** ORGANIZERS: Tatiana Tommasi, Politecnico di Torino, Italy David V?zquez, Element AI, Canada Kate Saenko, Boston University, USA Ben Usman, Boston University, USA Xingchao Peng, Boston University, USA Judy Hoffman, Facebook AI Research, USA Neela Kaushik, Boston University, USA Antonio M. L?pez, Universitat Aut?noma de Barcelona (UAB) and Computer Vision Center (CVC), Spain Wen Li, ETH Zurich, Switzerland -------------- next part -------------- An HTML attachment was scrubbed... URL: From alberto.nogales at ceiec.es Fri Jun 28 10:04:11 2019 From: alberto.nogales at ceiec.es (Alberto Nogales Moyano) Date: Fri, 28 Jun 2019 16:04:11 +0200 Subject: Connectionists: Self-Organizing Map library for Python Message-ID: CEIEC research institute at Universidad Francisco de Vitoria has just released the first version of GEMA a Python library which can be used to develop and train Self-Organizing Maps (SOMs). It also allows users to classify new individuals, obtain reports and visualize the information with interactive graphs. NOTE: GEMA has only been implemented in Python 3. https://github.com/ufvceiec/GEMA -- [image: Mailtrack] Sender notified by Mailtrack 28/06/19 16:03:49 -------------- next part -------------- An HTML attachment was scrubbed... URL: From luweinlp at gmail.com Sun Jun 30 09:52:04 2019 From: luweinlp at gmail.com (Lu, Wei) Date: Sun, 30 Jun 2019 21:52:04 +0800 Subject: Connectionists: PAKDD 2020 Call for Workshops Message-ID: CALL FOR WORKSHOPS The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is one of the longest established and leading international conferences in the areas of data mining and knowledge discovery. It provides an international forum for researchers and industry practitioners to share their new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. PAKDD 2020 seeks workshop proposals on foundational and emerging topics in areas related to data mining. The PAKDD workshops provide an informal and vibrant opportunity for researchers and industry practitioners to share their research positions, original research results and practical development experiences on specific challenges and emerging issues. Each workshop should be focused on a cohesive theme so that participants can benefit from interaction with each other. A list of topics (non-exhaustive) includes: ? Foundational topics in data mining ? Big data mining/platform ? Data mining on specialized data types: graphs, structured/unstructured/semi-structured data, streaming data, time series, spatial-temporal data, text, multimedia, social networks, etc. ? Data mining in specific disciplines or interdisciplinary topics: biology, ecology, e-government, environmental sciences, finance, healthcare, manufacturing, social sciences, etc. ? Data mining on cloud computing ? Data mining and privacy ? Data mining and security ? Data analysis and mining for new applications: smart devices, smart grids, smart homes, etc. ? Data analytical processing ? Emerging topics such as fairness-aware data mining, massive open online courses, data mining for sustainability, social informatics, etc. The organizers and chairs of the workshop shall have full control on the call for papers, formation of program committees, reviewing and selection of papers as well as planning the workshop program. HOWEVER, the program committee chairs are not allowed to submit papers to the workshops to ensure a fair review process. IN ADDITION, the chairs must include the following statement in the workshop CFP: ?Submitting a paper to the workshop means that the authors agree that at least one author should attend the workshop to present the paper, if the paper is accepted. For no-show authors, their affiliations will receive a notification.? The registration fees for workshops will be determined by the conference (not the workshop itself). The fees will be paid to the conference, and the conference will provide workshop facilities including working notes printing, meeting room, coffee break, lunch, proceedings, etc. Each workshop will have a right to include its outstanding papers in a LNCS/LNAI post Proceedings of PAKDD Workshops published by Springer. Under the program, the workshop chair must organize a review committee to select the outstanding papers from the papers presented in the workshop. Based on the reviews, each selected paper should be further improved for the camera ready version. A detailed schedule of due dates for the paper selection and the collection of the camera ready versions will be announced immediately after the workshop announcement. Prospective workshop organizers should send a proposal (maximum three pages) with the following sections to pakdd-2020-workshop-chairs at googlegroups.com ? Title of the workshop ? Objectives, scope, and contribution to the main conference ? Names and contacts of key organizers and a tentative list of members of the program committee, along with links to their webpages ? Expected number of papers, attendees, and preliminary workshop format ? Workshops will have either a full day or a half day format. Prior discussion of candidate workshop organizers with the workshop co-chairs is strongly encouraged. Important Dates ? Workshop proposal due: October 14, 2019 [23:59 PST] ? Workshop notification: October 21, 2019 ? Workshop call for papers: October 31, 2019 ? Suggested workshop author notification: February 21, 2020 ? Workshop camera-ready due: March 6, 2020 [23:59 PST] We look forward to your proposals and contributions to PAKDD 2020 Workshops. In case you have any questions, please do not hesitate to contact us at pakdd-2020-workshop-chairs at googlegroups.com Workshop Co-Chairs Kenny Q. ZHU (Shanghai Jiao Tong University, China) Wei LU (Singapore University of Technology and Design, Singapore) -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Sun Jun 30 12:15:42 2019 From: jonizhong at msn.com (Joni Zhong) Date: Sun, 30 Jun 2019 16:15:42 +0000 Subject: Connectionists: [CFP] 2nd CFP: IEEE Symposium on Domestic Robotics Message-ID: 2nd CFP: IEEE Symposium on Domestic Robotics URL: 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. Please see the detailed CFP attached and feel free to distribute. A selection of accepted papers will be published in a Special Issue of the journal Ambient Intelligence & Humanized Computing dedicated to Human Behaviour Monitoring, Interpretation and Understanding (NOTION) (https://jonizhong.weebly.com/news.html). The corresponding authors will be expected to receive an invitation at the end of August after your conference manuscript is accepted. 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 / AIST, Japan Program Committee (tentative list): Dr Alessandro Di Nuovo Dr. Nicolas Navarro Guerrero 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: -------------- next part -------------- A non-text attachment was scrubbed... Name: cfp-v1.pdf Type: application/pdf Size: 107103 bytes Desc: cfp-v1.pdf URL: From Mark.vanRossum at nottingham.ac.uk Sun Jun 30 12:13:31 2019 From: Mark.vanRossum at nottingham.ac.uk (Mark van Rossum) Date: Sun, 30 Jun 2019 17:13:31 +0100 Subject: Connectionists: Academic Fellowship positions Computational Neuroscience, Nottingham Message-ID: <746b1fe2-b4cf-7f34-5fbc-6a7a32fc887c@nottingham.ac.uk> The University of Nottingham is a research intensive university ranked in the top 10 in the UK and in the top 30 of Europe. It has a strong tradition in Cognition, Perception, Mathematical Biology, and structural and functional Imaging research. To support further development across these areas, and stimulate new research opportunities, the University has recently made a major investment in Computational Neuroscience. As part of this investment we are inviting applications for two independent fellowships. The positions are for 3 years, after which the fellows are expected to be competitive candidates for permanent positions at the University. The positions are ideal for researchers with a strong vision that are planning to develop their own research group in a supportive, interdisciplinary environment with outstanding research facilities. We are interested in candidates working across a broad spectrum of research topics areas in Computational Neuroscience, including functional neuroimaging, neural networks, and models of cognition. Research methodologies could include numerical simulation, machine learning, theoretical neuroscience, and innovative data analysis. The Fellows will be based in the School of Psychology and/or Mathematical Sciences. For more info and the online application form see http://jobs.nottingham.ac.uk/SCI215819 For informal inquiries contact Mark van Rossum, mark.vanrossum at nottingham.ac.uk, +44-115-7486851 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.