Call for Papers

ICAIML promotes experimental and practical research and welcomes both academic and industrial contributions, including the following topics:

Artificial Intelligence

Biometric Identification
Biocomputing and Bioinformatics
Computational Intelligence
Cognitive Processing
Computer Vision
Deep learining
Document Recognition and Understanding
Humanoid Robot
Intelligent Information Processing
Intelligent Modeling and Control Theory
Intelligent Vehicle
Intelligent Video Surveillance
Machine Learning
Mass Information Processing
Multimedia Information Processing
Nature Language Processing
Nonlinear System
Pattern Recognition
Quantum Computation and Quantum Information
Space Robot
Speech and Character Recognition
Signal Processing
Unmanned Aircraft
Word Recognition

Computer Science

Automation of Circuit Design
Algorithm Design and Complexity Analysis
Computation Theory
Computer Algorithm
Computer Architecture
Computer Networking
Computer Graphics
Complex Network
Digital Publishing and Printing
Distributed System
Database System
Data Mining
Digital Image Processing Techniques
Formalization Method
Glyph Computing
Information Processing
Information Security
Knowledge Engineering
Management Science
Modern Control Theory
Nonlinear Science
Nonclassical logic and fuzzy computer systems
Neural Network
Reliability Theory
Software Verification
System Science
Software Engineering
Ubiquitous Computing

Machine Learning

Active learning
Computational learning theory
Distance measurement learning
Deep learning
Incremental learning and online learning
Integrated learning
Limit learning
Machine learning new theory
Manifold learning
Multi - task learning
Multi - sign learning
Reinforcement learning
Manifold learning
Semi-supervised learning

2019 1st International Conference on Artificial Intelligence and Machine Learning