Call for papers: special session on “Neural Models for Behavior Recognition” at IJCNN 2018 - http://www.ecomp.poli.br/~wcci2018/ International Joint Conference on Neural Networks, hosted at IEEE World Congress on Computational Intelligence (IEEE WCCI 2018) 8-13 July 2018, Rio de Janeiro, Brazil Special Session on Neural Models for Behavior Recognition Organized by: Pablo Barros (Universität Hamburg, Germany), Bruno Fernandes (Universidade de Pernambuco, Brazil) and Stefan Wermter (Universität Hamburg, Germany) Categorizing and, to a certain degree, understanding human behavior is an important skill for autonomous systems. A robot able to identify whether a person needs help, an autonomous car to perceive whether a pedestrian is crossing the road, or a camera to localize someone in danger need a robust and reliable human behavior understanding. Although many different solutions have appeared in the past years, most of them do not take longer contextual information into consideration, usually only relying on instantaneous or short-context scenarios which limits the applicability of such systems in a real-world scenario. The potential of having neural models that take into consideration contextual information is substantial and it would be beneficial to develop this technology further for this field. To have a system which is capable of learning, understanding and generalizing human behavior within a longer contextual scene is a challenging task. With recent neural computing technologies, such as training and understanding deep neural networks, life-long learning and unsupervised approaches, to name a few, we believe that autonomous systems which are capable of learning from long-context human behavior are feasible. This kind of processing would provide contextual information which would be beneficial to understanding and acting in real-world scenarios. We invite papers on both practical and theoretical issues about neural learning for behavior recognition. In particular, topics of interest include, but are not limited to: - Gesture processing, recognition and/or generation - Models for emotional behavior analysis and/or understanding - Speech based sentiment analysis and/or dialog processing - Action recognition and/or generation - Crossmodal human behavior learning - Temporal architectures for human behavior learning - Emotional feedback and modulation in decision-making processes - Life-long learning for human behavior processing Submitted papers will be reviewed according to the IJCNN reviewing process and will be evaluated on their scientific value: originality, correctness, and writing style. More details: http://www.ecomp.poli.br/~wcci2018/submissions/#papersubmission IMPORTANT DATES: Paper submission: 15th January 2018 Paper acceptance: 15th March 2018 Final paper submission: 1st May 2018 Early registration: 1st May 2018 IEEE WCCI 2018 conference: 8-13 July 2018 Dr. rer. nat. Pablo Barros Knowledge Technology Department of Informatics University of Hamburg barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html https://www.informatik.uni-hamburg.de/wtm/ -- Dr.rer.nat. Pablo Barros Research Associate Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.de https://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.html www.knowledge-technology.info