Topics
The 26th International Conference on Neural Information Processing (ICONIP2019) aims at presentation of
professional research results and enthusiastic discussions among researchers, scientists,
and industry professionals who are working in neural network, deep learning and related bio-inspired
computing fields. The theme of the conference is Human Centred Computing: use of human sensor data to
predict or model human emotion, intentions and goals with an overall aim to produce computer systems
which
are useful, usable and sympathetic to users. Papers matching the theme are particularly encouraged.
Suggested topics for the conference include, but are not limited to neural networks, deep learning,
bio-inspired
computing and the following topics:
A. Theory and Algorithms
A1. Neurodynamics
A2. Machine learning
A3. Deep neural networks
A4. Computational intelligence
A5. Computer vision
A6. Pattern recognition
A7. Speech processing
A8. Time series analysis
A9. Reinforcement learning
A10. Bayesian networks
B. Computational and Cognitive Neurosciences
B1. Sensory perception
B2. Motor control
B3. Decision making
B4. Social cognition
B5. Emotion and reward
B6. Neuroeconomics
B7. Computational psychiatry
B8. Brain-machine interface
B9. Biometric systems/interfaces
B10. Neural data analysis
C. Human Centred Computing and Applications
C1. Big data analysis
C2. Robotics and control
C3. Bioinformatics
C4. Biomedical engineering
C5. Neuromorphic hardware
C6. Data mining
C7. Information security
C8. Social networks
C9. Computational finance
C10. Sports and rehabilitation
A. Theory and Algorithms
A1. Neurodynamics
A2. Machine learning
A3. Deep neural networks
A4. Computational intelligence
A5. Computer vision
A6. Pattern recognition
A7. Speech processing
A8. Time series analysis
A9. Reinforcement learning
A10. Bayesian networks
B. Computational and Cognitive Neurosciences
B1. Sensory perception
B2. Motor control
B3. Decision making
B4. Social cognition
B5. Emotion and reward
B6. Neuroeconomics
B7. Computational psychiatry
B8. Brain-machine interface
B9. Biometric systems/interfaces
B10. Neural data analysis
C. Human Centred Computing and Applications
C1. Big data analysis
C2. Robotics and control
C3. Bioinformatics
C4. Biomedical engineering
C5. Neuromorphic hardware
C6. Data mining
C7. Information security
C8. Social networks
C9. Computational finance
C10. Sports and rehabilitation