Publication
Accepted papers of MLMI 2023 after proper registration and presentation will be published in the Conference Proceedings, which will be submitted for indexing by Ei Compendex, Scopus, etc. (*All the previous Conference Proceedings have been archived in ACM Digital Library and have been indexed by Ei Compendex & Scopus.)

Topics
Topics of interest for submission include, but are not limited to
– Artificial Neural Networks
– Genetic Algorithms
– Association Rule Learning
– Inductive Logic Programming
– Automata, Logic and Games
– Intelligent Systems
– Bayesian Networks
– Lambda Calculus and Types
– Clustering
– Logic and Proof
– Commercial Software
– Machine Learning
– Commercial Software with Open-Source Editions
– Models of Computation
– Complex Systems
– Object-Oriented Programming
– Computational Complexity
– Open-Source Software
– Computational Learning Theory
– Pattern Recognition
– Computational Linguistics
– Reinforcement Learning
– Computer Animation
– Representation Learning
– Computer Science
– Similarity and Metric Learning
– Computer System
– Sparse Dictionary Learning
– Concurrent Algorithms and Data Structures
– Supervised Learning
– Data Mining
– Support Vector Machines
– Decision Tree Learning
– Unsupervised Learning
– Deep Learning
For more topics, please visit: http://www.mlmi.net/cfp.html

Submission Guideline
♢ English is the official language. Paper should be prepared in English.
♢ Abstract submission is for presentation only without publication.
♢ Full paper submission is for both presentation and publication. (No less than 8 pages)
♢ Submission Methods:
– By online submission system: http://confsys.iconf.org/submission/mlmi2023
– Or Submit to mlmi@iacsit.net as attachment
For more details, please visit: http://www.mlmi.net/submission.html

Contact Us
Conference Secretary: Miss Joie Wu
Email: mlmi@iacsit.net
Tel: +86-18302820449
Website: http://mlmi.net/
Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)