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

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 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

Website: http://mlmi.net/

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