Machine Learning and Knowledge Extraction Included in the Emerging Sources Citation Index in Web of Science

We are pleased to announce that the journal Machine Learning and Knowledge Extraction (ISSN 2504-4990) has been accepted for inclusion in the Emerging Sources Citation Index (ESCI) in the Web of Science Core Collection. We would like to extend our sincerest gratitude to all the authors, reviewers, and editors that have been involved in the journal over the years, and whose contributions have enabled this achievement.

Machine Learning and Knowledge Extraction (ISSN 2504-4990) is an international, interdisciplinary, cross-domain, peer-reviewed, open access journal fostering an integrated machine learning approach. It publishes original research articles, reviews, tutorials, research ideas, short notes, Topics and Special Issues that focus on machine learning and applications. The time from submission to first decision is about 21.3 days, and acceptance to publication is within 3.5 days. For more details, please visit: https://www.mdpi.com/journal/make.

We also maintain a Machine Learning mailing list for the community. You can subscribe here: https://lists.mdpi.com/postorius/lists/machinelearning.lists.mdpi.com/.

We would also like to take this opportunity to invite contributions to MAKE journal. Early bird entries (submit before 31 June 2021) are welcome to an APC discount, please contact the Editorial Office (make@mdpi.com). We plan to hold the Best Paper Award for publications in 2021 (the prize includes CHF 500, one feature paper and an Electronic Certificate).  

You are also encouraged to submit a Special Issue proposal to MAKE journal via: https://www.mdpi.com/journalproposal/sendproposalspecialissue/make.

MAKE Editorial Office