Machine Learning and Knowledge Extraction

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. The journal is published quarterly online by MDPI.
  • 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 21.3 days after submission; acceptance to publication is undertaken in 3.5 days (median values for papers published in this journal in the second half of 2020).
  • 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 Issue in MAKE
Interpretable and Annotation-Efficient Learning for Medical Image Computing Guest Editors: Jaime Cardoso, Nicholas Heller, Pedro Henriques Abreu, Ivana Išgum, Diana Mateus, Emanuele Trucco
Deadline: 28 February 2021
Special Issue in MAKE
Digital Signal and Image Processing as Underpinned with ML/AI —Technologies and Applications Guest Editors: H. Bryan Riley, Mehmet Celenk
Deadline: 15 March 2021
Special Issue in MAKE
Advances in Explainable Artificial Intelligence (XAI) Guest Editor: Luca Longo
Deadline: 31 March 2021
Special Issue in MAKE
Recent Advances in Feature Selection Guest Editors: Basabi Chakraborty, Saptarsi Goswami
Deadline: 30 April 2021
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