7th International Conference on Machine Learning and Machine Intelligence (MLMI 2024)

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 [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)