International Conference on Advances in Artificial Intelligence, Machine Learning and Applications

Important dates

1. 9 Jan

   Abstract / full paper deadline

   In 55 days

2. 29 Jan

   Conference

   Bhilai, Chhattisgarh, India

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

The conference is aiming at facilitating the exchange of ideas and developments in all aspects of Advances in Artificial Intelligence, Machine Learning and Applications topics. This conference provides opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up to date scientific field. The organizing committee of conference is pleased to invite prospective authors to submit their original manuscripts to ICAAIMLA

Topics and scope

• Artificial intelligence for health and healthcare
• Artificial intelligence in health diagnostics
• Artificial intelligence for health information management
• Machine learning for healthcare
• Algorithm development for health care applications
• Extracting and processing of rich semantics from medical texts
• Artificial intelligence techniques in medicine
• Data mining and knowledge discovery in medicine
• Medical expert systems
• Machine learning-based medical systems
• Medical signal and image processing techniques
• Computer-assisted clinical documentation
• Computer-assisted physician documentation
• Artificial neural networks
• Association rule learning
• Automata, logic and games
• Bayesian networks
• Clustering
• Commercial software
• Commercial software with open-source editions
• Complex systems
• Computational complexity
• Computational learning theory
• Computational linguistics
• Computer animation
• Computer science
• Computer system
• Concurrent algorithms and data structures
• Data mining
• Decision tree learning
• Deep Learning
• Design and analysis of algorithms
• Genetic algorithms
• Inductive logic programming
• Intelligent systems
• Lambda calculus and types
• Logic and proof
• Machine learning
• Models of computation
• Object-oriented programming
• Open-source software
• Pattern recognition
• Reinforcement learning
• Representation learning
• Similarity and metric learning
• Sparse dictionary learning
• Supervised learning
• Support vector machines
• Unsupervised learning

Call for papers

Abstracts are due by 9 January 2027. Submission details are on the official website.