Conference overview
2020 The 3rd International Conference on Machine Learning and Machine Intelligence
●(MLMI 2020) Ei Compendex & Scopus index●
Hangzhou Dianzi University, China | September 18–20, 2020
→Keynote Speakers:
Prof. Huan Liu, IEEE Fellow & ACM Fellow, Arizona State University, USA;
Prof. Dapeng Wu, IEEE Fellow, University of Florida, USA;
Prof. James T. Kwok, IEEE Fellow, Hong Kong University of Science and Technology, Hong Kong.
→Invited Speakers:
Prof. Xiaolin Qin, University of Chinese Academy of Sciences, China
→Publication:
Submitted paper will be peer reviewed by conference committees, and accepted papers after registration and presentation will be published in the International Conference Proceedings Series by ACM (ISBN: 978-1-4503-8834-4), which will be archived in the ACM Digital Library, and indexed by Ei Compendex, Scopus, etc.
▶ MLMI 2018 | ISBN: 978-1-4503-6556-7 | ACM Digital Library | Ei-Compendex & Scopus Index
▶ MLMI 2019 | ISBN: 978-1-4503-7248-0 | ACM Digital Library | Ei-Compendex & Scopus Index
→Submit Way:
Send to official email directly: mlmi@iacsit.net
Submit via Online submission system: http://confsys.iconf.org/submission/mlmi2020
→Topics:
Artificial neural networks, Association rule learning, Computational learning theory，Computer animation，Commercial software，Data mining，etc.
For more topics, please check：http://www.mlmi.net/cfp.html
→Contact:
☞ Conference secretary: Ms. Yolanda Dong
☏ Tel: +86-18080013977
✉ Email: mlmi@iacsit.net
✔ Website: http://www.mlmi.net/
Office Hour: 09:30--12:00, 13:30--18:00, Monday to Friday (GMT+8 Time Zone)
●(MLMI 2020) Ei Compendex & Scopus index●
Hangzhou Dianzi University, China | September 18–20, 2020
→Keynote Speakers:
Prof. Huan Liu, IEEE Fellow & ACM Fellow, Arizona State University, USA;
Prof. Dapeng Wu, IEEE Fellow, University of Florida, USA;
Prof. James T. Kwok, IEEE Fellow, Hong Kong University of Science and Technology, Hong Kong.
→Invited Speakers:
Prof. Xiaolin Qin, University of Chinese Academy of Sciences, China
→Publication:
Submitted paper will be peer reviewed by conference committees, and accepted papers after registration and presentation will be published in the International Conference Proceedings Series by ACM (ISBN: 978-1-4503-8834-4), which will be archived in the ACM Digital Library, and indexed by Ei Compendex, Scopus, etc.
▶ MLMI 2018 | ISBN: 978-1-4503-6556-7 | ACM Digital Library | Ei-Compendex & Scopus Index
▶ MLMI 2019 | ISBN: 978-1-4503-7248-0 | ACM Digital Library | Ei-Compendex & Scopus Index
→Submit Way:
Send to official email directly: mlmi@iacsit.net
Submit via Online submission system: http://confsys.iconf.org/submission/mlmi2020
→Topics:
Artificial neural networks, Association rule learning, Computational learning theory，Computer animation，Commercial software，Data mining，etc.
For more topics, please check：http://www.mlmi.net/cfp.html
→Contact:
☞ Conference secretary: Ms. Yolanda Dong
☏ Tel: +86-18080013977
✉ Email: mlmi@iacsit.net
✔ Website: http://www.mlmi.net/
Office Hour: 09:30--12:00, 13:30--18:00, Monday to Friday (GMT+8 Time Zone)