Machine Learning Research

Aims and Scope

Machine Learning Research (ISSN Online: 2637-5680, ISSN Print: 2637-5672) is a scholarly open access, peer-reviewed, and fully refereed journal. This journal provides a unified forum for researchers and scientists to share the latest research and developments in all areas of machine learning. Articles presenting original research in the field, highlighting methodological aspects and providing experimental evidences on specific problems and all aspects of machine learning are expected for publishing in this journal.

The topics related to this journal include but are not limited to:

  • Biological Justification
  • Big Data
  • Cognitive Science
  • Cheminformatics
  • Machine Perception
  • Computational Neuroscience
  • Automatic Reasoning
  • Internet Fraud Detection
  • Adaptive Control
  • Cognitive Model
  • Brain-Machine Interfaces
  • Object Recognition
  • Search Engines
  • Machine Teaching
  • Computational Anatomy
  • Cheminformatics

Guidelines for preparing your manuscript can be found in the Manuscript Preparation Guidelines. Once your manuscript is ready, you may proceed to the Submission page to complete the process.