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Machine Learning and Knowledge Extraction — Open Access Journal

Machine Learning and Knowledge Extraction (ISSN 2504-4990) is an international, scientific, peer-reviewed, open access journal. It publishes original research articles, reviews, tutorials, research ideas, short notes and Special Issues that focus on machine learning and applications. Please see our video on YouTube explaining the MAKE journal concept.
  • Open Access - free for readers, free publication for well-prepared manuscripts submitted before 1 July 2019.
  • Rapid publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 32.3 days after submission; acceptance to publication is undertaken in 3.6 days (median values for papers published in this journal in the second half of 2018).
  • Recognition of reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.

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Mach. Learn. Knowl. Extr. EISSN 2504-4990 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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