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ISNN 2019 : 16th International Symposium on Neural NetworksConference Series : International Symposium on Neural Networks | |||||||||||||||
Link: https://conference.cs.cityu.edu.hk/isnn/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Following the successes of previous events, the 16th International Symposium on Neural Networks (ISNN
2019) will be held in Moscow, Russia. Located by the Moskva River, Moscow is the capital and largest city in Russia with a population of over thirteen millions. ISNN2019 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network 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. Call for Papers and Special Sessions Prospective authors are invited to contribute high-quality papers to ISNN 2019. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ISNN 2019. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information and brief biographical information of the organizers. Topic Areas Topics areas include, but not limited to, computational neuroscience, connectionist theory and cognitive science, mathematical modeling of neural systems, neurodynamic analysis, neurodynamic optimization, adaptive dynamic programming, embedded neural systems, probabilistic and information-theoretic methods, principal and independent component analysis, hybrid intelligent systems, supervised learning, unsupervised learning, reinforcement learning, deep learning, brain imaging, neural information processing, neuroinformatics, bioinformatics, support vector machines, kernel methods, autonomous mental development, data mining, pattern recognition, time series analysis, image and signal processing, robotics, control systems, telecommunications, transportation systems, intrusion detection and fault diagnosis, hardware implementation, financial engineering, business intelligence, real-world applications. Paper Submission Authors are invited to submit full-length papers (10 pages nominal and 12 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. 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 authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. The proceedings of ISNN 2019 will be published in the Springer LNCS series and selected good papers will be included in special issues of SCI journals. |
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