[DMANET] Machine Learning and Knowledge Extraction (ISSN 2504-4990) 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, 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 provide the following free services to the machine learning
community:
(1) Advertise your conference on our website:
http://www.mdpi.com/journal/make/events
(2) Use our mailing list for announcements, call for papers, announce your
jobs, etc.:
https://lists.mdpi.com/postorius/lists/machinelearning.lists.mdpi.com/
(3) Post your research vacancies on our website
http://www.mdpi.com/journal/make/addjob

We would also like to take this opportunity to invite contributions to MAKE
journal. Early bird entries (submit before 30 September 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.

Best,
/MAKE/ Editorial Office
St. Alban-Anlage 66, 4052 Basel, Switzerland
Tel. +41 61 683 77 34; Fax: +41 61 302 89 18
E-Mail: make@mdpi.com
http://www.mdpi.com/journal/make/

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