Description

Publication Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the Conference Proceedings of MLMI 2025. (*All the previous Conference Proceedings have been archived in ACM Digital Library and have been indexed by Ei Compendex & Scopus.)

Call For Papers

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/mlmi2025

- Or Submit to mlmi_contact163.com as attachment

For more details, please visit: http://www.mlmi.net/submission.html

Contact Us

Conference Secretary: Miss Joie Wu

Email: mlmi_contact163.com

Tel: +86-18302820449

Website: http://mlmi.net/

Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)