ICONIP 2017 : International Conference on Neural Information Processing

  in Conferences   Posted on August 21, 2017

Conference Information

Submission Deadline Friday 30 Jun 2017
Conference & Submission Link http://www.iconip2017.org/
Conference Dates Nov 14, 2017 - Nov 18, 2017
Conference Address Guangzhou, China
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Google Scholar H5-index: 17
CORE 2017 Rating: A
Guide2Research Overall Ranking: 287
Category Rankings
Machine Learning & Arti. Intelligence 69

Conference Call for Papers

ICONIP 2017 aims to provide a high-level international forum for scientists, researchers, educators, industrial professionals, and students worldwide to present state-of-the-art research results, address new challenges, and discuss trends in neural information processing and applications. ICONIP 2017 invites scholars in all areas of neural network theory and applications, computational neuroscience, machine learning and others. In addition to regular technical sessions with oral and poster presentations, the conference program will include invited sessions and tutorials on topics of current interest.

ICONIP 2017 features plenary/keynote and panel discussion sessions by world leading researchers as well as awards to honor outstanding papers presented at this conference. ICONIP 2017 welcomes proposals for invited sessions reporting innovative research results on focused topics and tutorials and workshops on novel emerging research topics. Please submit invited session and tutorial/workshop proposals to the conference secretariat at iconip2017@foxmail.com by May 10, 2017. For more information about the conference, please refer to the conference website for details.

Click here to download the PDF version of Call for Papers.

Areas and topics of contributed papers include but are not limited to the following:

A. Theory and Algorithms
A01. Neurodynamics
A02. Machine learning
A03. Deep neural networks
A04. Computational intelligence
A05. Computer vision
A06. Pattern recognition
A07. Speech processing
A08. Time series analysis
A09. Reinforcement learning
A10. Bayesian networks
B. Computational and Cognitive Neurosciences
B01. Sensory perception
B02. Motor control
B03. Decision making
B04. Social cognition
B05. Emotion and reward
B06. Neuroeconomics
B07. Computational psychiatry
B08. Brain-machine interface
B09. Neural data analysis
C. Applications
C01. Big data analysis
C02. Robotics and control
C03. Bioinformatics
C04. Biomedical engineering
C05. Neuromorphic hardware
C06. Data mining
C07. Information security
C08. Social networks
C09. Computational finance
C10. Sports and rehabilitation

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