Call For Papers  CFP Flyer

The 14th International Conference on Machine Learning and Computing is the premier forum for new ideas and experimental results in machine learning and computing. The conference specifically seeks particularly forward-looking and novel submissions. Papers are solicited on a broad range of topics, including (but not limited to):

  1. Adaptive systems
  2. Neural net and support vector machine
  3. Business intelligence
  4. Hybrid and nonlinear system
  5. Biometrics
  6. Fuzzy set theory, fuzzy control and system
  7. Bioinformatics
  8. Knowledge management
  9. Data and web mining
  10. Information retrieval
  11. Intelligent agent
  12. Intelligent and knowledge based system
  13. Financial engineering
  14. Rough and fuzzy rough set
  15. Inductive learning
  16. Networking and information security
  17. Geo-informatics
  18. Evolutionary computation
  19. Pattern Recognition
  20. Ensemble method
  21. Logistics
  22. Information fusion
  23. Intelligent control
  24. Visual information processing
  25. Media computing
  26. Computational life science

Conference Pulication

All submitted papers will be sent to 2-3 peer reviewers for reviewing. And like the previous conferences, 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.

Submission Method

Welcome related scholars, students to submit your full papers or abstracts by Electronic Submission System.(



December 20: Submission Ends

Full paper submission or abstract submission deadline.


January 10: Notification Date

You will receive the final review results about your paper or abstract before or on that date.


January 20: Registration Ends

Please submit your registration files including final papers before that date. For listener registration, please contact us via


October 25: Early Bird Ends

If you complete the registration before that time, you could enjoy the discount of early bird.

Contact us

Ms. Ailee Ding


Tel: +86-13258-11111-7

WeChat: asr2020217
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