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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 in 2018 and 2019.
  • Rapid publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 30 days after submission; acceptance to publication is undertaken in 2.6 days (median values for papers published in the first six months 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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Special Issues

Special Issue in MAKE
Transparency of Deep Neural Networks Guest Editor: Yoichi Hayashi
Deadline: 15 September 2018
Special Issue in MAKE
Privacy and Security in Machine Learning Guest Editors: Edgar Weippl, Francesco Buccafurri
Deadline: 31 October 2018
Special Issue in MAKE
Recent Developments in Extreme Learning Machines Guest Editor: Yoan Miche
Deadline: 30 November 2018
Special Issue in MAKE
Machine Learning for Biomedical Data Processing Guest Editors: Abdulhamit Subasi, Saeed M. Qaisar
Deadline: 15 December 2018

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