2020 12th International Conference on Machine Learning and Computing will be held in Shenzhen, China on Feb. 15-17, 2020 together with the workshop: ICBDM 2020. The International Conference on Machine Learning and Computing (ICMLC) will provide opportunities for researchers in this field to share their ideas and reinforce collaboration since 2009. As such, the conference has achieved a remarkable number participants while also enabling profuse exchanges among academic and industrial researchers over the years.
The spectrum of machine learning and computing includes, but is not limited to, data collection, data preparation, model building, training and application deployment. While it has been around for years, machine learning and computing has attained new popularity and is used in a wide range of applications today as artificial intelligence (AI) has become more prominent. As the practicality of using these kinds of systems increase, machine learning and computing is projected to grow exponentially.
All submitted papers will be sent to 2-3 peer reviewers for review. And accepted and presented papers will be published by International Conference Proceedings Series by ACM (ISBN: 978-1-4503-7642-6), which will be archived in the ACM Digital Library, and indexed by Ei Compendex and Scopus, like the previous conferences.
» ICMLC 2019 ACM Conference Proceedings (ISBN: 978-1-4503-6600-7) has been included in ACM Digital Library and indexed by Ei Compendex and Scopus.
» ICMLC 2018 ACM Conference Proceedings (ISBN: 978-1-4503-6353-2) has been included in ACM Digital Library, indexed by Ei Compendex and Scopus.
» ICMLC 2017 ACM Conference Proceedings (ISBN: 978-1-4503-4817-1) has been included in ACM Digital Library, Ei Compendex and Scopus already.
Welcome related scholars, students to submit your full paper by Electronic Submission System. (https://www.easychair.org/conferences/?conf=icmlc2020)
Full paper submission or abstract submission deadline.
You will receive the final review results about your paper or abstract before or on that date.
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