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, with article processing charges (APC) paid by authors or their institutions.
  • Rapid Publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 21.9 days after submission; acceptance to publication is undertaken in 2.7 days (median values for papers published in this journal in the second half of 2019).
  • 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.
Add your e-mail address to receive forthcoming issues of this journal:
Special Issue in MAKE
Explainable Machine Learning Guest Editors: Jochen Garcke, Ribana Roscher
Deadline: 30 July 2020
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