2020 The 3rd International Conference on Machine Learning and Machine Intelligence (MLMI 2020)

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Basic Information

2020 The 3rd International Conference on Machine Learning and Machine Intelligence (MLMI 2020)

Website: http://www.mlmi.net/

Place

Hangzhou, China

Conference Date

Sep 18 - Sep 20, 2020

Submission Deadline

Aug 20, 2020

Venue

Hangzhou Dianzi University, China

Subjects: Computer Science and Technologies

Sponsorship: 

Indexing: EI Compendex,Scopus

Short Description

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)

Contact

E-mail: mlmi@iacsit.net

Tel: +86-18080013977

Rank: ★★★★

Indexing

Online Proceedings:

Indexing Proof: View

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