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. In such situation, 2022 14th International Conference on Machine Learning and Computing will be held in Guangzhou, China on February 18-21, 2022 together with the workshop: ICBDM 2022. 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 enable 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.
All submitted papers will be sent to 2-3 peer reviewers for reviewing. And accepted and presented papers will be published by International Conference Proceedings Series by ACM (ISBN: 978-1-4503-9570-0), which will be submitted for ACM Digital Library inclusion, and Ei Compendex and Scopus index, like the previous conferences.
如往届会议一样，被录用并报告的文章将由ACM出版到ICMLC 2022会议论文集（ISBN: 978-1-4503-9570-0）, 并提交ACM Digital Library收录，以及提交EI核心和Scopus检索。
ICMLC 2021 Conference Proceedings (ISBN: 978-1-4503-8931-0) | ACM Digital Library | Ei Compendex&Scopus Index
ICMLC 2020 Conference Proceedings (ISBN: 978-1-4503-7642-6) | ACM Digital Library | Ei Compendex&Scopus
ICMLC 2019 Conference Proceedings (ISBN: 978-1-4503-6600-7) | ACM Digital Library | Ei Compendex&Scopus
ICMLC 2018 Conference Proceedings (ISBN: 978-1-4503-6353-2) | ACM Digital Library | Ei Compendex&Scopus
ICMLC 2017 Conference Proceedings (ISBN: 978-1-4503-4817-1) | ACM Digital Library | Ei Compendex&Scopus
Welcome related scholars, students to submit your full paper by Electronic Submission System. (https://www.easychair.org/conferences/?conf=icmlc2022)
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