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.
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,
Brain Computer Interface,
Graphical Models in Machine Learning,
Human-computer Interface including Assistive Systems,
Kernel Methods in Machine Learning,
Natural Language Processing and Understanding,
Quantum Methods in Machine Learning,
Statistical Learning Theory.