2025 The 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025)
25/07/2025 to 27/07/2025
Entry Fee: $580
About This Event
The 8th International Conference on Machine Learning and Machine Intelligence (MLMI 2025) will be held in Kyoto, Japan during July 25-27, 2025.
Organized by Ritsumeikan University, Japan, MLMI 2025 will bring together leading researchers, academics, and industry professionals to explore the latest advancements in machine learning and machine intelligence. The conference will feature insightful presentations, engaging discussions, and vibrant networking opportunities, all set in the culturally rich city of Kyoto.
Conference Theme: "AI-Driven Innovations for a Sustainable Future"
Publication
Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published into Lecture Notes in Electrical Engineering (Electronic ISSN: 1876-1119 & Print ISSN: 1876-1100) as a proceedings book volume. The book series will be indexed by EI Compendex, SCOPUS, INSPEC, SCImago and other database.
? MLMI 2024 conference proceedings (ISBN: 979-8-4007-1783-3) - ACM Digital Library | Ei Compendex | Scopus
? MLMI 2023 conference proceedings (ISBN: 979-8-4007-0945-6) - ACM Digital Library | Ei Compendex | Scopus
? MLMI 2022 conference proceedings (ISBN: 978-1-4503-9755-1) - ACM Digital Library | Ei Compendex | Scopus
? MLMI 2021 conference proceedings (ISBN: 978-1-4503-8424-7) - ACM Digital Library | Ei Compendex | Scopus
? MLMI 2020 conference proceedings (ISBN: 978-1-4503-8834-4) - ACM Digital Library | Ei Compendex | Scopus
? MLMI 2019 conference proceedings (ISBN: 978-1-4503-7248-0) - ACM Digital Library | Ei Compendex | Scopus
? MLMI 2018 conference proceedings (ISBN: 978-1-4503-6556-7) - ACM Digital Library | Ei Compendex | Scopus
Keynote Speakers
Prof. Zhihua Zhou (IEEE/ACM/AAAI/AAAS Fellow, member of the Academia Europaea)
Nanjing University, China
Prof. Ryuji Kohno (IEICE Life/IEEE Fellow)
Yokohama National University, Japan
Prof. Guoping Qiu
The University of Nottingham, UK & The University of Nottingham Ningbo, China
Invited Speakers
Prof. Antonio Alarcón-Paredes
National Polytechnic Institute, Mexico
Prof. Abril Uriarte Arcia
CIDETEC - IPN, Mexico
Asst. Prof. Isaac Kofi Nti
University of Cincinnati, USA
Assoc. Prof. Jiaxin Cai
Xiamen University of Technology, China
Dr. Vishnu S. Pendyala
San Jose State University, USA
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 [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]
Tel: +86-18302820449
Website: http://mlmi.net/
Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)