ACM--ICMLC--Ei and Scopus 2020 : ACM--2020 12th International Conference on Machine Learning and Computing (ICMLC 2020)--SCOPUS, Ei Compendex

★Full name: 2020 12th International Conference on Machine Learning and Computing (ICMLC 2020)
★Website：http://www.icmlc.org/ Date: Feb. 15-17, 2020
★Held in: Shenzhen, China
★Supported by: Southwest Jiaotong University, China; Metropolitan State University of Denver, USA; Asia Society of Researchers

★Call for papers★
Topic about Machine Learning and Computing:
Adaptive systems
Neural net and support vector machine
Business intelligence
Hybrid and nonlinear system
Biometrics
Fuzzy set theory, fuzzy control and system
More topics, please visit at http://www.icmlc.org/topic.html

★ Publication
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.

★Submission★
1. Full paper(publication and presentation)
2. Abstract (presentation only)

For full paper and abstract, please upload it to the Electronic Submission System (.pdf)
https://www.easychair.org/conferences/?conf=icmlc2020
Send your enquiry to [email protected]
More details about submission, please visit at http://www.icmlc.org/sub.html



★★Conference Schedule★★

Feb 15, 2020 | 10:00am - 16:00pm: Conference Check in and Materials Collection

Feb 16, 2020 | 09:00am - 12:00pm: Welcome Message; Keynote&Plenary Speeches; and Group Photo

Feb 16, 2020 | 13:00pm - 18:00pm: Authors' Presentations

Feb 17, 2020 | 09:00am - 17:00pm: Authors' Presentations

★Conference Venue★
Grand Skylight Hotel Shenzhen
Address: No. 3024 Shennan Central Road, Futian, 518031 Shenzhen, China

★★Contact:
Ms. Ailee Ding
Email: [email protected]
Phone: +86-13258-11111-7