The International Conference on Neural Information Processing (ICONIP) is an annual conference of the Asia Pacific Neural Network Society (APNNS). Over the years, the ICONIP has emerged as a premium venue to showcase the current research and innovations in artificial intelligence and their applications on different fields.
Serving as a dynamic forum, ICONIP encourages the cross-pollination of ideas across a spectrum of disciplines, encompassing data analytics, pattern recognition, biomedical engineering, neuroscience, automation and control, information security, and brain-machine interfaces.
ICONIP brings together attendees from around the world, diverse disciplines and professions including researchers, academics, and industry experts, all working collaboratively to tackle real-world challenges and contribute to the betterment of society.
ICONIP 2024 invites high quality contributions from, but not limited to the topics below:
Track 1: Theory and Algorithms
Causality and explainable AI
Computational intelligence
Control and decision theory
Constraint & uncertainty theory
Machine learning
Neurodynamics
Neural network models
Optimization
Pattern recognition
Time series analysis
Track 2: Cognitive Neurosciences
Affective and cognitive learning
Biometric systems/interfaces
Brain-machine interface
Computational psychiatry
Neuroeconomics
Neural data analysis
Reasoning and consciousness
Sensory perception
Social cognition
Track 3: Human Centred Computing
Bioinformatics
Biomedical information
Healthcare
Human activity recognition
Human-centred design
Human-computer interaction
Neuromorphic hardware
Recommender systems
Social networks
Sports and rehabilitation
Track 4: Applications
Big data analysis
Computational finance
Image processing & computer vision
Data mining
Information security
Information retrieval
Multimedia information processing
Natural language processing
Robotics and control
Web search and mining