Contributed papers are solicited describing original works in Machine Learning, Algorithms and Neural Networks. Topics and technical areas of interest include but are not limited to the following:

Track 1: Machine Learning
Deep and Reinforcement Learning
Machine Learning for Network Slicing Optimization
Machine Learning for 5G system
Machine Learning for User Behavior Prediction
New Innovative Machine Learning Methods
Optimization of Machine Learning Methods

Track 2: Algorithms
Analysis of algorithms
Ant colony algorithm
Approximation algorithm
Combinatorial search
Competitive analysis
Computability theory

Track 3: Neural Networks
Computational Science and Engineering
Deep learning
Signal processing
Information extraction
Natural language reasoning
Pattern recognition

(for more topic: https://www.mlann.net/topic.html )