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ISNN 2019 : 16th International Symposium on Neural Networks

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Conference Series : International Symposium on Neural Networks
 
Link: https://conference.cs.cityu.edu.hk/isnn/
 
When Jul 10, 2019 - Jul 12, 2019
Where Moscow
Submission Deadline Feb 1, 2019
Notification Due Mar 1, 2019
Final Version Due Apr 1, 2019
Categories    neuroscience   control   cognitive science
 

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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