Journal Advances in Artificial Intelligence and Machine Learning
Advances in Artificial Intelligence and Machine Learning is a global, peer-reviewed open access online journal, committed to timely publication of original work in Artificial Intelligence and Machine Learning. In addition to original research, the journal encourages review papers, including mini-reviews focused on a very specific topic.
Goal / Target audience
The mission of the Advances in Artificial Intelligence and Machine Learning is to provide a context on the study of Artificial Intelligence and Human Wellbeing, human cognition, artificial systems, autonomous machines, etc.
Publisher
Shimur Publications
The topics covered by the Journal include but are not limited to:
Artificial Intelligence – Theory and Practice,
Approximate and Probabilistic Reasoning,
Artificial Intelligence in Medicine and Healthcare,
Autonomous Vehicles,
Big Data,
Bioinformatics,
Biometric Systems,
Brain Computer Interface,
Computational Intelligence,
Computer Visions,
Fuzzy Systems,
Genetic Algorithms,
Graphical Models in Machine Learning,
Human-computer Interface including Assistive Systems,
Kernel Methods in Machine Learning,
Natural Language Processing and Understanding,
Neural Networks,
Optimization,
Pattern Recognition,
Quantum Methods in Machine Learning,
Robotics,
Statistical Learning Theory.
ISSN
2582-9793
Website: https://www.oajaiml.com/
