The 7th International Conference on Machine Learning and Machine Intelligence (MLMI 2024) will be held in Osaka, Japan during August 2-4, 2024. MLMI 2024 is organized by Ritsumeikan University, Japan.

Insightful presentations, engaging discussions, vibrant networking – MLMI 2024 has it all. With leading academics on the scientific committee of the event, the program is guaranteed to address the most relevant topics in the field of machine learning and machine intelligence. It's an opportunity to source feedback on your research, to get published in conference proceedings, and to explore the beautiful city Osaka, Japan.

 ☑Keynote & Invited Speakers

Prof. Ce Zhu (IEEE Fellow), University of Electronic Science and Technology of China, China

Prof. Amir Hussain, Edinburgh Napier University, UK

Assoc. Prof. Guangyu Gao, Beijing Institute of Technology, China

Assoc. Prof. Porawat Visutsak, King Mongkut’s University of Technology North Bangkok, Thailand

Assoc. Prof. Zheng-Ming Gao, Jingchu University of Technology, China

Prof. Jiarong Yang, Shanghai Electric Group Co., Ltd., Central Academe, China

☑Publication

Accepted papers after proper registration and presentation will be published in the International Conferen ce Proceedings Series by ACM (ISBN: 979-8-4007-1783-3), which will be archived in the ACM Digital Library, and indexed 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 (*All the previous Conference Proceedings have been archived in ACM Digital Library and have been indexed by Ei Compendex & Scopus.)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/mlmi2024

- Or Submit to [email protected] as attachment

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

☑Contact Us

Conference Secretary: Miss Joie Wu

Email: [email protected]

Website: http://mlmi.net/

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